Mon, 28 Sep 2020

New package edgarWebR with initial version 1.0.3
Package: edgarWebR
Title: SEC Filings Access
Description: A set of methods to access and parse live filing information from the U.S. Securities and Exchange Commission (SEC - <https://www.sec.gov/>) including company and fund filings along with all associated metadata.
Version: 1.0.3
Authors@R: c( person(c("Micah", "J"), "Waldstein", email = "micah@waldste.in", role = c("aut", "cre")) )
Maintainer: Micah J Waldstein <micah@waldste.in>
Date: 2020-09-26
Depends: R (>= 3.4.0)
Imports: xml2 (>= 1.3.2), methods, httr
Suggests: covr, ggplot2, knitr, lintr, purrr, rmarkdown, httptest, tokenizers, devtools, dplyr, tidyr, roxygen2, pkgdown
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
URL: https://mwaldstein.github.io/edgarWebR/, https://github.com/mwaldstein/edgarWebR
BugReports: https://github.com/mwaldstein/edgarWebR/issues
NeedsCompilation: no
Packaged: 2020-09-26 19:22:00 UTC; micah
Author: Micah J Waldstein [aut, cre]
Repository: CRAN
Date/Publication: 2020-09-28 13:20:06 UTC

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New package atakrig with initial version 0.9.7
Package: atakrig
Type: Package
Title: Area-to-Area Kriging
Version: 0.9.7
Authors@R: c( person("Maogui", "Hu", role = c("aut", "cre"), email = "humg@lreis.ac.cn"), person("Yanwei", "Huang", role = "ctb"), person("Roger", "Bivand", role = "ctb"))
Description: Point-scale variogram deconvolution from irregular/regular spatial support according to Goovaerts, P., (2008) <doi: 10.1007/s11004-007-9129-1>; ordinary area-to-area (co)Kriging and area-to-point (co)Kriging.
Imports: gstat, sp, rgeos, foreach, doSNOW, snow, FNN, methods, MASS, Rcpp
Suggests: raster, rgdal, rtop
License: GPL (>= 2.0)
NeedsCompilation: yes
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp
Packaged: 2020-09-23 05:13:20 UTC; humg
Author: Maogui Hu [aut, cre], Yanwei Huang [ctb], Roger Bivand [ctb]
Maintainer: Maogui Hu <humg@lreis.ac.cn>
Repository: CRAN
Date/Publication: 2020-09-28 13:20:09 UTC

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New package triangulr with initial version 1.0.0
Package: triangulr
Title: High-Performance Triangular Distribution Functions
Version: 1.0.0
Authors@R: person(given = "Alvin", family = "Nursalim", role = c("aut", "cre"), email = "alvin.nursalim@outlook.com")
Description: A collection of high-performance functions for the triangular distribution that consists of the probability density function, cumulative distribution function, quantile function, random variate generator, moment generating function, characteristic function, and expected shortfall function. References: Samuel Kotz, Johan Ren Van Dorp (2004) <doi:10.1142/5720> and Acerbi, Carlo & Tasche, Dirk. (2002) <doi:10.1111/1468-0300.00091>.
License: MIT + file LICENSE
URL: https://github.com/irkaal/triangulr/ https://irkaal.github.io/triangulr/
BugReports: https://github.com/irkaal/triangulr/issues
Depends: R (>= 3.1)
Encoding: UTF-8
LazyData: true
ByteCompile: true
RoxygenNote: 7.1.1
Collate: 'RcppExports.R' 'Triangular.R' 'ctri.R' 'dtri.R' 'error.R' 'estri.R' 'mgtri.R' 'ptri.R' 'qtri.R' 'rtri.R'
LinkingTo: Rcpp
Imports: Rcpp (>= 1.0.5), rlang (>= 0.4.7), vctrs (>= 0.3.4)
Suggests: testthat (>= 2.3.2)
NeedsCompilation: yes
Packaged: 2020-09-25 08:33:49 UTC; Alvin
Author: Alvin Nursalim [aut, cre]
Maintainer: Alvin Nursalim <alvin.nursalim@outlook.com>
Repository: CRAN
Date/Publication: 2020-09-28 12:30:02 UTC

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New package ConcordanceTest with initial version 0.1.0
Package: ConcordanceTest
Title: An Alternative to the Kruskal-Wallis Test Based on the Kendall Tau Ideas
Version: 0.1.0
Authors@R: c( person(given = "Javier", family = "Alcaraz", role = c("aut"), email = "jalcaraz@umh.es"), person(given = "Laura", family = "Anton-Sanchez", role = c("aut", "cre"), email = "l.anton@umh.es"), person(given = "Juan Francisco", family = "Monge", role = c("aut"), email = "monge@umh.es"))
Description: The Concordance Test is a non-parametric method for testing whether two o more samples originate from the same distribution. It extends the Kendall Tau correlation coefficient when there are only two groups. For details, see Monge (2019) <arXiv:1912.12880v1>.
Depends: R (>= 3.3.2)
Imports: Rglpk, stats, graphics
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-25 08:14:48 UTC; laura
Author: Javier Alcaraz [aut], Laura Anton-Sanchez [aut, cre], Juan Francisco Monge [aut]
Maintainer: Laura Anton-Sanchez <l.anton@umh.es>
Repository: CRAN
Date/Publication: 2020-09-28 12:30:05 UTC

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New package lazygreedy with initial version 1.0
Package: lazygreedy
Version: 1.0
Date: 2020-09-18
Title: Applying the Lazy-Greedy Spanning Algorithm
Type: Package
Author: Bokgyeong Kang, John Hughes, Quirijn W. Bouts, Alex P. ten Brink, and Kevin Buchin
Maintainer: Bokgyeong Kang <bxk487@psu.edu>
Depends: Rcpp
Description: Provides an R wrapper for an efficient C++ implementation of the Lazy-Greedy spanning algorithm of Bouts, ten Brink, and Buchin (2014) <DOI:10.1145/2582112.2582154>.
License: GPL (>= 2)
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2020-09-24 20:05:24 UTC; bkang
Repository: CRAN
Date/Publication: 2020-09-28 11:50:02 UTC

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New package BayesSPsurv with initial version 0.1.0
Package: BayesSPsurv
Type: Package
Title: Bayesian Spatial Split Population Survival Model
Version: 0.1.0
Authors@R: c(person(given = "Brandon L.", family = "Bolte", role = c("aut")), person(given = "Nicolas", family = "Schmidt", role = c("aut", "cre"), email = "nschmidt@cienciassociales.edu.uy"), person(given = "Sergio", family = "Bejar", role = c("aut")), person(given = "Bumba", family = "Mukherjee", role = c("aut")), person(given = "Minnie M.", family = "Joo", role = c("ctb")), person(given = "Nguyen K.", family = "Huynh", role = c("ctb")) )
Description: Parametric spatial split-population (SP) survival models for clustered event processes. The models account for structural and spatial heterogeneity among “at risk” and “immune” populations, and incorporate time-varying covariates. This package currently implements Weibull, Exponential and Log-logistic forms for the duration component. It also includes functions for a series of diagnostic tests and plots to easily visualize convergence and spatial effects. Users can create their own spatial weights matrix based on their units and adjacencies of interest, making the use of these models flexible and broadly applicable to a variety of research areas. Joo et al. (2020) <https://github.com/Nicolas-Schmidt/BayesSPsurv/blob/master/man/figures/SPcure.pdf> describe the estimators included in this package.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
RoxygenNote: 7.1.0
LinkingTo: Rcpp, RcppArmadillo
Imports: MCMCpack, FastGP, stats, Rcpp (>= 1.0.3), coda, dplyr, reshape2
Suggests: spduration, countrycode
NeedsCompilation: yes
Packaged: 2020-09-24 20:36:37 UTC; Nicolás Schmidt
Author: Brandon L. Bolte [aut], Nicolas Schmidt [aut, cre], Sergio Bejar [aut], Bumba Mukherjee [aut], Minnie M. Joo [ctb], Nguyen K. Huynh [ctb]
Maintainer: Nicolas Schmidt <nschmidt@cienciassociales.edu.uy>
Repository: CRAN
Date/Publication: 2020-09-28 11:50:09 UTC

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New package simfinapi with initial version 0.1.0
Type: Package
Package: simfinapi
Title: Accessing 'SimFin' Data
Version: 0.1.0
Authors@R: person(given = "Matthias", family = "Gomolka", role = c("aut", "cre"), email = "matthias.gomolka@posteo.de")
Description: Through simfinapi, you can intuitively access the 'SimFin' Web-API (<https://simfin.com/>) to make 'SimFin' data easily available in R. To obtain an 'SimFin' API key (and thus to use this package), you need to register at <https://simfin.com/login>.
License: GPL-3
URL: https://github.com/Plebejer/simfinapi
BugReports: https://github.com/Plebejer/simfinapi/issues
Depends: R (>= 3.2)
Imports: checkmate (>= 2.0.0), data.table (>= 1.12.8), future.apply (>= 1.4.0), httr, memoise (>= 1.1.0), RcppSimdJson (>= 0.1.1), utils
Suggests: covr (>= 3.5.0), secret, testthat, knitr, rmarkdown, fastmatch
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-24 09:46:21 UTC; gomolka
Author: Matthias Gomolka [aut, cre]
Maintainer: Matthias Gomolka <matthias.gomolka@posteo.de>
Repository: CRAN
Date/Publication: 2020-09-28 09:20:02 UTC

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New package medrxivr with initial version 0.0.3
Package: medrxivr
Title: Access and Search MedRxiv and BioRxiv Preprint Data
Version: 0.0.3
Authors@R: c( person("Luke", "McGuinness", role = c("aut", "cre"), email = "luke.mcguinness@bristol.ac.uk", comment = c(ORCID = "0000-0001-8730-9761")), person("Lena", "Schmidt", role = "aut", comment = c(ORCID = "0000-0003-0709-8226")), person("Tuija", "Sonkkila", role = "rev"), person("Najko", "Jahn", role = "rev"))
Description: An increasingly important source of health-related bibliographic content are preprints - preliminary versions of research articles that have yet to undergo peer review. The two preprint repositories most relevant to health-related sciences are medRxiv <https://www.medrxiv.org/> and bioRxiv <https://www.biorxiv.org/>, both of which are operated by the Cold Spring Harbor Laboratory. 'medrxivr' provides programmatic access to the 'Cold Spring Harbour Laboratory (CSHL)' API <https://api.biorxiv.org/>, allowing users to easily download medRxiv and bioRxiv preprint metadata (e.g. title, abstract, publication date, author list, etc) into R. 'medrxivr' also provides functions to search the downloaded preprint records using regular expressions and Boolean logic, as well as helper functions that allow users to export their search results to a .BIB file for easy import to a reference manager and to download the full-text PDFs of preprints matching their search criteria.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Language: en-US
URL: https://github.com/ropensci/medrxivr
BugReports: https://github.com/ropensci/medrxivr/issues
Imports: methods, dplyr, curl, jsonlite, httr, stringr, rlang, vroom, bib2df, tibble, progress, lubridate
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, covr, kableExtra, spelling
VignetteBuilder: knitr, rmarkdown
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-24 14:28:06 UTC; lm16564
Author: Luke McGuinness [aut, cre] (<https://orcid.org/0000-0001-8730-9761>), Lena Schmidt [aut] (<https://orcid.org/0000-0003-0709-8226>), Tuija Sonkkila [rev], Najko Jahn [rev]
Maintainer: Luke McGuinness <luke.mcguinness@bristol.ac.uk>
Repository: CRAN
Date/Publication: 2020-09-28 09:40:02 UTC

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New package EDNE.EQ with initial version 1.0
Package: EDNE.EQ
Type: Package
Title: Implements the EDNE-Test for Equivalence
Version: 1.0
Date: 2020-09-24
Author: Thomas Hoffelder
Maintainer: Thomas Hoffelder <thomas.hoffelder@boehringer-ingelheim.com>
Description: Package implements the EDNE-test for equivalence according to Hoffelder et al. (2015) <DOI:10.1080/10543406.2014.920344>. "EDNE" abbreviates "Euclidean Distance between the Non-standardized Expected values". The EDNE-test for equivalence is a multivariate two-sample equivalence test. Distance measure of the test is the Euclidean distance. The test is an asymptotically valid test for the family of distributions fulfilling the assumptions of the multivariate central limit theorem (see Hoffelder et al.,2015). The function EDNE.EQ() implements the EDNE-test for equivalence according to Hoffelder et al. (2015). The function EDNE.EQ.dissolution.profiles() implements a variant of the EDNE-test for equivalence analyses of dissolution profiles (see Suarez-Sharp et al.,2020 <DOI:10.1208/s12248-020-00458-9>). EDNE.EQ.dissolution.profiles() checks whether the quadratic mean of the differences of the expected values of both dissolution profile populations is statistically significantly smaller than 10 [\% of label claim]. The current regulatory standard approach for equivalence analyses of dissolution profiles is the similarity factor f2. The statistical hypotheses underlying EDNE.EQ.dissolution.profiles() coincide with the hypotheses for f2 (see Hoffelder et al.,2015, Suarez-Sharp et al., 2020).
Imports: MASS
License: GPL-3
NeedsCompilation: no
Packaged: 2020-09-24 12:44:19 UTC; hoffelde
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2020-09-28 09:30:03 UTC

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New package ACEsearch with initial version 1.0.0
Package: ACEsearch
Type: Package
Title: 'ACE' Search Engine API
Version: 1.0.0
Author: Vladimir Polony
Date: 2020-09-09
Maintainer: Vladimir Polony <podalv@gmail.com>
Description: 'ACE' (Advanced Cohort Engine) is a powerful tool that allows constructing cohorts of patients extremely quickly and efficiently. This package is designed to interface directly with an instance of 'ACE' search engine and facilitates API queries and data dumps. Prerequisite is a good knowledge of the temporal language to be able to efficiently construct a query. More information available at <https://shahlab.stanford.edu/start>.
License: MIT + file LICENSE
URL: https://shahlab.stanford.edu/start
Imports: httr, testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1.9000
NeedsCompilation: no
Packaged: 2020-09-24 16:11:54 UTC; podalv
Repository: CRAN
Date/Publication: 2020-09-28 09:40:06 UTC

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New package covid19.analytics with initial version 2.0
Package: covid19.analytics
Type: Package
Title: Load and Analyze Live Data from the CoViD-19 Pandemic
Version: 2.0
Date: 2020-09-22
Author: Marcelo Ponce [aut, cre], Amit Sandhel [ctb]
Maintainer: Marcelo Ponce <mponce@scinet.utoronto.ca>
Description: Load and analyze updated time series worldwide data of reported cases for the Novel CoronaVirus Disease (CoViD-19) from the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE) data repository <https://github.com/CSSEGISandData/COVID-19>. The datasets are available in two main modalities, as a time series sequences and aggregated for the last day with greater spatial resolution. Several analysis, visualization and modelling functions are available in the package that will allow the user to compute and visualize total number of cases, total number of changes and growth rate globally or for an specific geographical location, while at the same time generating models using these trends; generate interactive visualizations and generate Susceptible-Infected-Recovered (SIR) model for the disease spread.
Imports: readxl, ape, rentrez, plotly, htmlwidgets, deSolve, gplots, pheatmap, shiny, shinydashboard, shinycssloaders, DT, dplyr, collapsibleTree
Suggests: knitr, devtools, roxygen2, markdown, rmarkdown, testthat
License: GPL (>= 2)
URL: https://mponce0.github.io/covid19.analytics/
BugReports: https://github.com/mponce0/covid19.analytics/issues
RoxygenNote: 7.1.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-24 19:58:02 UTC; marcelo
Repository: CRAN
Date/Publication: 2020-09-28 07:22:17 UTC

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Fri, 25 Sep 2020

New package txshift with initial version 0.3.4
Package: txshift
Title: Efficient Estimation of the Causal Effects of Stochastic Interventions
Version: 0.3.4
Authors@R: c( person("Nima", "Hejazi", email = "nh@nimahejazi.org", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-7127-2789")), person("David", "Benkeser", email = "benkeser@emory.edu", role = "aut", comment = c(ORCID = "0000-0002-1019-8343")), person("Iván", "Díaz", email = "ild2005@med.cornell.edu", role = "ctb", comment = c(ORCID = "0000-0001-9056-2047")), person("Jeremy", "Coyle", email = "jeremy.coyle@gmail.com", role = "ctb", comment = c(ORCID = "0000-0002-9874-6649")), person("Mark", "van der Laan", email = "laan@berkeley.edu", role = c("ctb", "ths"), comment = c(ORCID = "0000-0003-1432-5511")) )
Maintainer: Nima Hejazi <nh@nimahejazi.org>
Description: Efficient estimation of the population-level causal effects of stochastic interventions on a continuous-valued exposure. Both one-step and targeted minimum loss estimators are implemented for a causal parameter defined as the counterfactual mean of an outcome of interest under a stochastic intervention that may depend on the natural value of the exposure (i.e., a modified treatment policy). To accommodate settings in which two-phase sampling is employed, procedures for making use of inverse probability of censoring weights are provided to facilitate construction of inefficient and efficient one-step and targeted minimum loss estimators. The causal parameter and estimation methodology were first described by Díaz and van der Laan (2013) <doi:10.1111/j.1541-0420.2011.01685.x>). Estimation of nuisance parameters may be enhanced through the Super Learner ensemble model in 'sl3', available for download from GitHub using 'remotes::install_github("tlverse/sl3")'.
Depends: R (>= 3.2.0)
Imports: stats, stringr, data.table, assertthat, mvtnorm, hal9001 (>= 0.2.6), haldensify (>= 0.0.6), lspline, ggplot2, tibble, latex2exp, Rdpack
Suggests: testthat, knitr, rmarkdown, covr, future, future.apply, origami (>= 1.0.3), ranger, Rsolnp, nnls, rlang
Enhances: sl3 (>= 1.3.7)
License: MIT + file LICENSE
URL: https://github.com/nhejazi/txshift
BugReports: https://github.com/nhejazi/txshift/issues
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.1.1
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2020-09-23 22:29:09 UTC; nsh
Author: Nima Hejazi [aut, cre, cph] (<https://orcid.org/0000-0002-7127-2789>), David Benkeser [aut] (<https://orcid.org/0000-0002-1019-8343>), Iván Díaz [ctb] (<https://orcid.org/0000-0001-9056-2047>), Jeremy Coyle [ctb] (<https://orcid.org/0000-0002-9874-6649>), Mark van der Laan [ctb, ths] (<https://orcid.org/0000-0003-1432-5511>)
Repository: CRAN
Date/Publication: 2020-09-25 13:50:02 UTC

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New package SC2API with initial version 1.0.0
Package: SC2API
Title: Blizzard SC2 API Wrapper
Version: 1.0.0
Authors@R: person('Samuel', 'Morrissette', email = 'samuel.morrissette01@gmail.com', role = c('cre', 'aut'))
Description: A wrapper for Blizzard's Starcraft II (a 2010 real-time strategy game) Application Programming Interface (API). All documented API calls are implemented in an easy-to-use and consistent manner.
License: MIT + file LICENSE
LazyData: true
Encoding: UTF-8
Imports: data.table, httr, jsonlite
Suggests: rmarkdown, knitr, httptest, ggplot2, testthat
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-23 14:31:27 UTC; Sam
Author: Samuel Morrissette [cre, aut]
Maintainer: Samuel Morrissette <samuel.morrissette01@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-25 13:20:06 UTC

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New package rct3 with initial version 1.0.4
Package: rct3
Version: 1.0.4
Date: 2020-09-17
Title: Predict Fish Year-Class Strength from Survey Data
Authors@R: c( person("Colin", "Millar", role = c("aut", "cre"), email="colin.millar@ices.dk"), person("Marc", "Taylor", role = "aut") )
LazyData: yes
Description: Predict fish year-class strength by calibration regression analysis of multiple recruitment index series.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-23 14:02:32 UTC; colin
Author: Colin Millar [aut, cre], Marc Taylor [aut]
Maintainer: Colin Millar <colin.millar@ices.dk>
Repository: CRAN
Date/Publication: 2020-09-25 13:10:02 UTC

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New package o2geosocial with initial version 1.0.1
Package: o2geosocial
Type: Package
Title: Reconstruction of Transmission Chains from Surveillance Data
Version: 1.0.1
URL: https://github.com/alxsrobert/o2geosocial
Encoding: UTF-8
Authors@R: c(person("Alexis", "Robert", email = "alexis.robert@lshtm.ac.uk", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-4516-2965")), person("Sebastian", "Funk", email = "sebastian.funk@lshtm.ac.uk", role = c("aut"), comment = c(ORCID = "0000-0002-2842-3406")), person("Adam J", "Kucharski", email = "adam.kucharski@lshtm.ac.uk", role = c("aut"), comment = c(ORCID = "0000-0001-8814-9421")), person("Thibaut", "Jombart", role = c("ctb")))
Maintainer: Alexis Robert <alexis.robert@lshtm.ac.uk>
Description: Bayesian reconstruction of who infected whom during past outbreaks using routinely-collected surveillance data. Inference of transmission trees using genotype, age specific social contacts, distance between cases and onset dates of the reported cases. (Robert A, Kucharski AJ, Gastanaduy PA, Paul P, Funk S. 2020 <doi:10.1098/rsif.2020.0084>).
License: MIT + file LICENSE
Imports: Rcpp, methods, stats, grDevices, geosphere, ggplot2, visNetwork, data.table, outbreaker2
LazyData: true
Depends: R(>= 3.5.0)
LinkingTo: Rcpp
RoxygenNote: 7.1.1
Suggests: testthat, tigris, sf, knitr, socialmixr, rmarkdown
VignetteBuilder: knitr
BugReports: https://github.com/alxsrobert/o2geosocial/issues
NeedsCompilation: yes
Packaged: 2020-09-23 21:20:59 UTC; Alexis Robert
Author: Alexis Robert [aut, cre, cph] (<https://orcid.org/0000-0002-4516-2965>), Sebastian Funk [aut] (<https://orcid.org/0000-0002-2842-3406>), Adam J Kucharski [aut] (<https://orcid.org/0000-0001-8814-9421>), Thibaut Jombart [ctb]
Repository: CRAN
Date/Publication: 2020-09-25 13:40:02 UTC

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New package metabolic with initial version 0.1.0
Package: metabolic
Title: Datasets and Functions for Reproducing Meta-Analyses
Version: 0.1.0
Authors@R: person(given = "Felipe", family = "Mattioni Maturana", role = c("aut", "cre", "cph"), email = "felipe.mattioni@med.uni-tuebingen.de", comment = c(ORCID = "0000-0002-4221-6104"))
Description: Dataset and functions from the meta-analysis published in Medicine & Science in Sports & Exercise. It contains all the data and functions to reproduce the analysis. "Effectiveness of HIIE versus MICT in Improving Cardiometabolic Risk Factors in Health and Disease: A Meta-analysis". Felipe Mattioni Maturana, Peter Martus, Stephan Zipfel, Andreas M Nieß (2020) <doi:10.1249/MSS.0000000000002506>.
License: CC0
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
URL: https://github.com/fmmattioni/metabolic
BugReports: https://github.com/fmmattioni/metabolic/issues
Imports: tibble, magrittr, usethis, dplyr (>= 1.0.0), ggplot2 (>= 3.2.1), ggfittext, cli (>= 2.0.1), forcats, ggimage, patchwork (>= 1.0.0), scales, stringr, tidyr (>= 1.0.2), purrr, meta (>= 4.11-0), glue, rmarkdown
Depends: R (>= 3.2)
Suggests: knitr, here, Rd2roxygen, kableExtra, fansi, downloadthis (>= 0.2.0), spelling
Language: en-US
NeedsCompilation: no
Packaged: 2020-09-23 21:07:25 UTC; fmattioni
Author: Felipe Mattioni Maturana [aut, cre, cph] (<https://orcid.org/0000-0002-4221-6104>)
Maintainer: Felipe Mattioni Maturana <felipe.mattioni@med.uni-tuebingen.de>
Repository: CRAN
Date/Publication: 2020-09-25 13:40:09 UTC

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New package befproj with initial version 0.1.1
Package: befproj
Type: Package
Title: Makes a Local Population Projection
Version: 0.1.1
Author: Peter Thuresson <jpeter.thuresson@gmail.com>
Maintainer: Peter Thuresson <jpeter.thuresson@gmail.com>
Description: This is a sub national population projection model for calculating population development. The model uses a cohort component method. Further reading: Stanley K. Smith: A Practitioner's Guide to State and Local Population Projections. 2013. <doi:10.1007/978-94-007-7551-0>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: dplyr (>= 0.8.5)
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-09-23 15:34:40 UTC; prota
Repository: CRAN
Date/Publication: 2020-09-25 13:40:12 UTC

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New package albatross with initial version 0.1-1
Package: albatross
Type: Package
Title: PARAFAC Analysis of Fluorescence Excitation-Emission Matrices
Version: 0.1-1
Date: 2020-09-16
Authors@R: c(person('Timur', 'Labutin', role = 'aut'), person('Ivan', 'Krylov', role = 'cre', email = 'ikrylov@laser.chem.msu.ru'))
Depends: R (>= 2.10)
Imports: multiway (>= 1.0-4), pracma, lattice
Description: Perform parallel factor analysis (PARAFAC: Harshman, 2005) <doi:10.1121/1.1977523>) on fluorescence excitation-emission matrices (FEEMs): handle scattering signal (Bahram, 2007) <doi:10.1002/cem.978> and inner filter effect (Kothawala, 2013) <doi:10.4319/lom.2013.11.616>, scale the dataset, fit the model; perform split-half validation (DeSarbo, 1984) <https://papers.ssrn.com/abstract=2783446> or jack-knifing (Riu, 2003) <doi:10.1016/S0169-7439(02)00090-4>. The package has a low dependency footprint (only two direct dependencies not in core or recommended; four total non-core/recommended dependencies) and has been tested on a wide range of R versions (including R as old as 3.3.3 from Debian Stretch).
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2020-09-23 14:22:54 UTC; nobody
Author: Timur Labutin [aut], Ivan Krylov [cre]
Maintainer: Ivan Krylov <ikrylov@laser.chem.msu.ru>
Repository: CRAN
Date/Publication: 2020-09-25 14:00:14 UTC

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New package miRecSurv with initial version 0.0.1
Package: miRecSurv
Type: Package
Title: Left-Censored Recurrent Events Survival Models
Version: 0.0.1
Authors@R: c(person(given = "David", family = "Moriña", role = c("aut", "cre"), email = "dmorina@ub.edu", comment = c(ORCID = "0000-0001-5949-7443")), person(given = "Gilma", family = "Hernández-Herrera", role = c("aut"), email = "gilmah@yahoo.com"), person(given = "Albert", family = "Navarro", role = c("aut"), email = "albert.navarro@uab.cat"))
Maintainer: David Moriña <dmorina@ub.edu>
Description: Fitting recurrent events survival models for left-censored data with multiple imputation of the number of previous episodes. See Hernández-Herrera G, Moriña D, Navarro A. (2020) <arXiv:2007.15031>.
Depends: R (>= 3.5.0), COMPoissonReg, matrixStats, survival, stringi
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2020-09-23 09:01:13 UTC; dmorina
Author: David Moriña [aut, cre] (<https://orcid.org/0000-0001-5949-7443>), Gilma Hernández-Herrera [aut], Albert Navarro [aut]
Repository: CRAN
Date/Publication: 2020-09-25 12:50:02 UTC

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New package r2mlm with initial version 0.1.0
Package: r2mlm
Type: Package
Title: R-Squared Measures for Multilevel Models
Version: 0.1.0
Authors@R: c( person("Mairead", "Shaw", email = "mairead.shaw@mail.mcgill.ca", role = c("aut", "cre")), person("Jason", "Rights", email = "jrights@psych.ubc.ca", role = "aut"), person("Sonya", "Sterba", email = "sonya.sterba@vanderbilt.edu", role = "aut"), person("Jessica", "Flake", email = "jessica.flake@mcgill.ca", role = "aut"))
Maintainer: Mairead Shaw <mairead.shaw@mail.mcgill.ca>
Description: Generates both total- and level-specific R-squared measures from Rights and Sterba’s (2019) <doi:10.1037/met0000184> framework of R-squared measures for multilevel models with random intercepts and/or slopes, which is based on a completely full decomposition of variance. Additionally generates graphical representations of these R-squared measures to allow visualizing and interpreting all measures in the framework together as an integrated set. This framework subsumes 10 previously-developed R-squared measures for multilevel models as special cases of 5 measures from the framework, and it also includes several newly-developed measures. Measures in the framework can be used to compute R-squared differences when comparing multilevel models (following procedures in Rights & Sterba (2020) <doi:10.1080/00273171.2019.1660605>).
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: dplyr (>= 0.8.5), magrittr (>= 1.5), rlang (>= 0.4.6), stringr (>= 1.4.0), tidyselect (>= 1.0.0)
Depends: lme4 (>= 1.1.23), nlme (>= 3.1.14), R (>= 3.2.0)
RoxygenNote: 7.1.0
Suggests: testthat, Matrix
URL: https://github.com/mkshaw/r2mlm
BugReports: https://github.com/mkshaw/r2mlm/issues
NeedsCompilation: no
Packaged: 2020-09-23 05:22:34 UTC; maireadshaw
Author: Mairead Shaw [aut, cre], Jason Rights [aut], Sonya Sterba [aut], Jessica Flake [aut]
Repository: CRAN
Date/Publication: 2020-09-25 12:00:03 UTC

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New package shattering with initial version 1.0
Package: shattering
Title: Estimate the Shattering Coefficient for a Particular Dataset
Version: 1.0
Authors@R: person(given = "Rodrigo", family = "F. de Mello", role = c("aut", "cre"), email = "mello@icmc.usp.br", comment = c(ORCID = "0000-0002-0435-3992"))
Description: The Statistical Learning Theory (SLT) provides the theoretical background to ensure that a supervised algorithm generalizes the mapping f:X -> Y given f is selected from its search space bias F. This formal result depends on the Shattering coefficient function N(F,2n) to upper bound the empirical risk minimization principle, from which one can estimate the necessary training sample size to ensure the probabilistic learning convergence and, most importantly, the characterization of the capacity of F, including its under and overfitting abilities while addressing specific target problems. In this context, we propose a new approach to estimate the maximal number of hyperplanes required to shatter a given sample, i.e., to separate every pair of points from one another, based on the recent contributions by Har-Peled and Jones in the dataset partitioning scenario, and use such foundation to analytically compute the Shattering coefficient function for both binary and multi-class problems. As main contributions, one can use our approach to study the complexity of the search space bias F, estimate training sample sizes, and parametrize the number of hyperplanes a learning algorithm needs to address some supervised task, what is specially appealing to deep neural networks. Reference: de Mello, R.F. (2019) "On the Shattering Coefficient of Supervised Learning Algorithms" <arXiv:1911.05461>; de Mello, R.F., Ponti, M.A. (2018, ISBN: 978-3319949888) "Machine Learning: A Practical Approach on the Statistical Learning Theory".
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1.9000
Imports: FNN, pdist, Matrix
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-09-21 13:46:39 UTC; mello
Author: Rodrigo F. de Mello [aut, cre] (<https://orcid.org/0000-0002-0435-3992>)
Maintainer: Rodrigo F. de Mello <mello@icmc.usp.br>
Repository: CRAN
Date/Publication: 2020-09-25 09:10:03 UTC

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New package rjqpd with initial version 0.2.3
Package: rjqpd
Type: Package
Title: The Johnson Quantile-Parameterised Distribution
Version: 0.2.3
Authors@R: person("Bobby", "Ingram", email = "ingram.bob@gmail.com", role = c("aut", "cre"))
Maintainer: Bobby Ingram <ingram.bob@gmail.com>
Description: Implementation of the Johnson Quantile-Parameterised Distribution in R. The Johnson Quantile-Parameterised Distribution (J-QPD) is a flexible distribution system that is parameterised by a symmetric percentile triplet of quantile values (typically the 10th-50th-90th) along with known support bounds for the distribution. The J-QPD system was developed by Hadlock and Bickel (2017) <doi:10.1287/deca.2016.0343>. This package implements the density, quantile, CDF and random number generator functions.
Suggests: devtools, knitr, rmarkdown, testthat
URL: https://github.com/bobbyingram/rjqpd
BugReports: https://github.com/bobbyingram/rjqpd/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-21 19:22:20 UTC; BobbyIngram
Author: Bobby Ingram [aut, cre]
Repository: CRAN
Date/Publication: 2020-09-25 09:20:06 UTC

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New package IntCal with initial version 0.1.3
Package: IntCal
Type: Package
Title: Radiocarbon Calibration Curves
Version: 0.1.3
Date: 2020-09-04
Authors@R: c( person("Maarten", "Blaauw", email = "maarten.blaauw@qub.ac.uk", role = c("aut", "cre")))
Description: The IntCal20 radiocarbon calibration curves (Reimer et al. 2020 <doi:10.1017/RDC.2020.68>) are provided here in a single data package, together with previous IntCal curves (IntCal13, IntCal09, IntCal04, IntCal98) and postbomb curves.
License: GPL (>= 2)
RoxygenNote: 7.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-09-21 18:35:52 UTC; maarten
Language: en-GB
Author: Maarten Blaauw [aut, cre]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>
Repository: CRAN
Date/Publication: 2020-09-25 09:20:12 UTC

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New package htmldf with initial version 0.1.0
Package: htmldf
Title: Simple Scraping and Tidy Webpage Summaries
Version: 0.1.0
Author: Alastair Rushworth
Maintainer: Alastair Rushworth <alastairmrushworth@gmail.com>
Description: Simple tools for scraping webpages, extracting common html tags and parsing contents to a tidy, tabular format. Tools help with extraction of page titles, links, images, rss feeds, social media handles and page metadata.
License: GPL-2
Imports: cld3, dplyr, httr, lubridate, magrittr, progress, R.utils, ranger, rvest, stringr, tibble, tidyr, tools, urltools, xml2
Depends: R (>= 3.5.0)
Encoding: UTF-8
Language: en_GB
LazyData: true
URL: https://github.com/alastairrushworth/htmldf/
BugReports: https://github.com/alastairrushworth/htmldf/issues
RoxygenNote: 7.1.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-09-22 05:28:26 UTC; alastairrushworth
Repository: CRAN
Date/Publication: 2020-09-25 09:50:02 UTC

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New package globalKinhom with initial version 0.1.1
Package: globalKinhom
Type: Package
Title: Inhomogeneous K- And Pair Correlation Functions Using Global Estimators
Version: 0.1.1
Date: 2020-09-11
Encoding: UTF-8
Authors@R: c(person("Thomas", "Shaw", role=c("aut", "cre"), email="shawtr@umich.edu"), person("Ege", "Rubak", role="ctb"), person("Adrian", "Baddeley", role="ctb"), person("Rolf", "Turner", role="ctb"))
Author: Thomas Shaw [aut, cre], Ege Rubak [ctb], Adrian Baddeley [ctb], Rolf Turner [ctb]
Maintainer: Thomas Shaw <shawtr@umich.edu>
Depends: R (>= 3.5.0), spatstat
Imports: stats, utils, grDevices
Description: Second-order summary statistics K- and pair-correlation functions describe interactions in point pattern data. This package provides computations to estimate those statistics on inhomogeneous point processes, using the methods of in T Shaw, J Møller, R Waagepetersen, 2020 <arXiv:2004.00527>.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2020-09-21 15:50:45 UTC; tshaw
Repository: CRAN
Date/Publication: 2020-09-25 09:10:05 UTC

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New package shiny.pwa with initial version 0.2.0
Package: shiny.pwa
Type: Package
Title: Progressive Web App Support for Shiny
Version: 0.2.0
Authors@R: person("Pedro", "Silva", email = "pedrocoutinhosilva@gmail.com", role = c("aut", "cre"))
Description: Adds Progressive Web App support for Shiny apps, including desktop and mobile installations.
License: MIT + file LICENSE
URL: https://github.com/pedrocoutinhosilva/shiny.pwa
Encoding: UTF-8
LazyData: true
Imports: shiny, htmltools, readr, utils, urltools
Suggests: testthat
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-20 14:53:46 UTC; pedro
Author: Pedro Silva [aut, cre]
Maintainer: Pedro Silva <pedrocoutinhosilva@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-25 08:20:02 UTC

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New package RVIpkg with initial version 0.1.1
Package: RVIpkg
Title: Regional Vulnerability Index
Version: 0.1.1
Authors@R: c( person(given = "Peter", family = "Kochunov", role = c("aut"), email = "pkochunov@gmail.com"), person(given = "Si", family = "Gao", role = c("aut", "cre"), email = "sgao@som.umaryland.edu"), person(given = "Fatima", family = "Talib", role = c("aut"), email = "fatal1@umbc.edu") )
Description: The Regional Vulnerability Index (RVI), a statistical measure of brain structural abnormality, quantifies an individual’s similarity to the expected pattern of deficits in schizophrenia (Kochunov P, Fan F, Ryan MC, et al. (2020) <doi:10.1002/hbm.25045>).
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
Imports: stats
NeedsCompilation: no
Packaged: 2020-09-20 18:38:48 UTC; AbestSG
Author: Peter Kochunov [aut], Si Gao [aut, cre], Fatima Talib [aut]
Maintainer: Si Gao <sgao@som.umaryland.edu>
Repository: CRAN
Date/Publication: 2020-09-25 08:30:02 UTC

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New package rle with initial version 0.9.2
Package: rle
Version: 0.9.2
Date: 2020-09-21
Title: Common Functions for Run-Length Encoded Vectors
Authors@R: person("Pavel N.", "Krivitsky", role=c("aut","cre"), email="pavel@statnet.org", comment=c(ORCID="0000-0002-9101-3362"))
Description: Common 'base' and 'stats' methods for 'rle' objects, aiming to make it possible to treat them transparently as vectors.
Depends: R (>= 3.5)
Imports: methods
Copyright: file inst/COPYRIGHT
BugReports: https://github.com/statnet/rle/issues
License: GPL-3
RoxygenNote: 7.1.1
Encoding: UTF-8
Suggests: covr
NeedsCompilation: yes
Packaged: 2020-09-21 03:24:29 UTC; pavel
Author: Pavel N. Krivitsky [aut, cre] (<https://orcid.org/0000-0002-9101-3362>)
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>
Repository: CRAN
Date/Publication: 2020-09-25 08:40:02 UTC

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New package ggip with initial version 0.1.0
Package: ggip
Title: Data Visualization for IP Addresses and Networks
Version: 0.1.0
Authors@R: person(given = "David", family = "Hall", role = c("aut", "cre"), email = "david.hall.physics@gmail.com", comment = c(ORCID = "0000-0002-2193-0480"))
Description: A 'ggplot2' extension that enables visualization of IP (Internet Protocol) addresses and networks. The address space is mapped onto the Cartesian coordinate system using a space-filling curve. Offers full support for both IPv4 and IPv6 (Internet Protocol versions 4 and 6) address spaces.
License: MIT + file LICENSE
URL: https://davidchall.github.io/ggip/, https://github.com/davidchall/ggip
BugReports: https://github.com/davidchall/ggip/issues
Depends: ggplot2 (>= 3.3.0), ipaddress (>= 0.5.1), R (>= 3.3.0)
Imports: glue, Rcpp, rlang (>= 0.4.2), tidyr, vctrs (>= 0.3.0)
Suggests: dplyr (>= 1.0.0), knitr, rmarkdown, testthat
LinkingTo: ipaddress, Rcpp
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2020-09-20 18:03:14 UTC; david
Author: David Hall [aut, cre] (<https://orcid.org/0000-0002-2193-0480>)
Maintainer: David Hall <david.hall.physics@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-25 08:20:05 UTC

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New package dPCP with initial version 1.0.3
Package: dPCP
Title: Automated Analysis of Multiplex Digital PCR Data
Version: 1.0.3
Authors@R: c(person(given = "Alfonso", family = "De Falco", role = c("aut", "cre"), email = "alfonso.defalco@lns.etat.lu", comment = c(ORCID = "0000-0001-9985-9920")), person(given = "Michel", family = "Mittelbronn", role = c("ctb")), person(given = "Christophe", family = "Olinger", role = c("ctb")), person(given = "Daniel", family = "Stieber", role = c("ctb")), person(given = "Laboratoire national de santé", role = c("cph")))
Description: The automated clustering and quantification of the digital PCR data is based on the combination of 'DBSCAN' (Hahsler et al. (2019) <doi:10.18637/jss.v091.i01>) and 'c-means' (Bezdek et l. (1981) <doi:10.1007/978-1-4757-0450-1>) algorithms. The analysis is independent of multiplexing geometry, dPCR system, and input amount. The details about input data and parameters are available in the vignette.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: dbscan, e1071, exactci, ggplot2, ggpubr, graphics, raster, rlist, scales, shiny, shinyjs, stats, stringr, utils
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-19 13:59:13 UTC; gen_adef
Author: Alfonso De Falco [aut, cre] (<https://orcid.org/0000-0001-9985-9920>), Michel Mittelbronn [ctb], Christophe Olinger [ctb], Daniel Stieber [ctb], Laboratoire national de santé [cph]
Maintainer: Alfonso De Falco <alfonso.defalco@lns.etat.lu>
Repository: CRAN
Date/Publication: 2020-09-25 07:50:02 UTC

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Thu, 24 Sep 2020

New package uwo4419 with initial version 0.3.0
Package: uwo4419
Type: Package
Title: UWO POLSCI 4419/9715
Version: 0.3.0
Authors@R: c(person("Dave", "Armstrong", role=c("aut", "cre"), email="dave@quantoid.net"))
Description: Supports the course Introduction to Methodology (POLSCI 4419/9715) at the University of Western Ontario.
Depends: R (>= 3.5.0)
Imports: DescTools, RColorBrewer, gmodels, haven, psych, stats, ggplot2, tibble, tidyr, dplyr, magrittr, rio
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2020-09-18 17:33:49 UTC; parallels
Author: Dave Armstrong [aut, cre]
Maintainer: Dave Armstrong <dave@quantoid.net>
Repository: CRAN
Date/Publication: 2020-09-24 09:10:02 UTC

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New package panelr with initial version 0.7.4
Package: panelr
Title: Regression Models and Utilities for Repeated Measures and Panel Data
Version: 0.7.4
Authors@R: person("Jacob A.", "Long", email = "jacob.long@sc.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-1582-6214"))
Description: Provides an object type and associated tools for storing and wrangling panel data. Implements several methods for creating regression models that take advantage of the unique aspects of panel data. Among other capabilities, automates the "within-between" (also known as "between-within" and "hybrid") panel regression specification that combines the desirable aspects of both fixed effects and random effects econometric models and fits them as multilevel models (Allison, 2009 <doi:10.4135/9781412993869.d33>; Bell & Jones, 2015 <doi:10.1017/psrm.2014.7>). These models can also be estimated via generalized estimating equations (GEE; McNeish, 2019 <doi:10.1080/00273171.2019.1602504>) and Bayesian estimation is (optionally) supported via 'Stan'. Supports estimation of asymmetric effects models via first differences (Allison, 2019 <doi:10.1177/2378023119826441>) as well as a generalized linear model extension thereof using GEE.
URL: https://panelr.jacob-long.com
BugReports: https://github.com/jacob-long/panelr
Depends: R (>= 3.4.0), lme4
Imports: crayon, dplyr, Formula, ggplot2, jtools (>= 2.0.1), lmerTest, magrittr, methods, purrr, rlang (>= 0.3.0), stringr, tibble (>= 2.0.0)
Suggests: brms, broom.mixed, car, clubSandwich, geepack, generics, nlme, plm, sandwich, skimr, tidyr (>= 0.8.3), testthat, covr, knitr, rmarkdown
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-24 00:19:39 UTC; jlong
Author: Jacob A. Long [aut, cre] (<https://orcid.org/0000-0002-1582-6214>)
Maintainer: Jacob A. Long <jacob.long@sc.edu>
Repository: CRAN
Date/Publication: 2020-09-24 09:10:08 UTC

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New package metamisc with initial version 0.2.3
Package: metamisc
Type: Package
Title: Meta-Analysis of Diagnosis and Prognosis Research Studies
Version: 0.2.3
Date: 2020-09-23
Authors@R: c(person(given = "Thomas", family = "Debray", role = c("aut", "cre"), email = "thomas.debray@gmail.com", comment="https://orcid.org/0000-0002-1790-2719"), person(given = "Valentijn", family = "de Jong", role = "aut", email="Valentijn.M.T.de.Jong@gmail.com", comment="https://orcid.org/0000-0001-9921-3468"))
Description: Facilitate meta-analysis of diagnosis and prognosis research studies. It includes functions to summarize multiple estimates of prediction model discrimination and calibration performance, as described by Debray et al. (2019) <doi:10.1177/0962280218785504>. It also includes functions to evaluate funnel plot asymmetry, as described by Debray et al. (2018) <doi:10.1002/jrsm.1266>. Finally, the package provides functions for developing multivariable prediction models from datasets with clustering.
Imports: metafor (>= 2.0.0), mvtnorm, lme4, plyr, methods, pROC, ggplot2
Depends: R (>= 3.5.0), stats, graphics
Suggests: runjags, rjags, logistf (>= 1.23), testthat (>= 1.0.2)
License: GPL-3
URL: https://r-forge.r-project.org/projects/metamisc/
RoxygenNote: 7.1.1
Author: Thomas Debray [aut, cre] (<https://orcid.org/0000-0002-1790-2719>), Valentijn de Jong [aut] (<https://orcid.org/0000-0001-9921-3468>)
Maintainer: Thomas Debray <thomas.debray@gmail.com>
Repository: CRAN
Repository/R-Forge/Project: metamisc
Repository/R-Forge/Revision: 567
Repository/R-Forge/DateTimeStamp: 2020-09-23 08:55:00
Date/Publication: 2020-09-24 09:20:02 UTC
NeedsCompilation: no
Packaged: 2020-09-23 09:08:09 UTC; rforge

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New package akmbiclust with initial version 0.1.0
Package: akmbiclust
Title: Alternating K-Means Biclustering
Version: 0.1.0
Authors@R: c( person("Zichao", "Li", role = c("aut", "cre"), email = "lizichao@live.unc.edu"), person("Nicolas", "Fraiman", role = "aut", email = "fraiman@email.unc.edu"))
Description: Implements the alternating k-means biclustering algorithm in Fraiman and Li (2020) <arXiv:2009.04550>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-09-18 17:38:42 UTC; lizichao
Author: Zichao Li [aut, cre], Nicolas Fraiman [aut]
Maintainer: Zichao Li <lizichao@live.unc.edu>
Repository: CRAN
Date/Publication: 2020-09-24 09:10:15 UTC

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New package topsa with initial version 0.1.0
Package: topsa
Type: Package
Title: Topological Sensitivity Analysis
Version: 0.1.0
Authors@R: c( person(given = "Maikol", family = "Solís", email = "maikol.solis@ucr.ac.cr", role = c("aut", "cre")), person(given = "Alberto", family = "Hernández", email = "albertojose.hernandez@ucr.ac.cr", role = c("ctb")), person(given = "Ronald A.", family = "Zuñiga-Rojas", email = "ronald.zunigarojas@ucr.ac.cr", role = c("ctb")), person(given = "Carlos", family = "Pasquier", email = "carlos.pasquier@ucr.ac.cr", role = c("ctb")) )
Maintainer: Maikol Solís <maikol.solis@ucr.ac.cr>
Description: Estimate geometric sensitivity indices reconstructing the embedding manifold of the data. The reconstruction is done via a Vietoris Rips with a fixed radius. With the homology of order 2 we estimate symmetric reflections of the those manifold to determine a sensitivity index on of the input model. Detailed information of the methods can be found in <https://www.dropbox.com/s/0kcrjhhkl7899n1/article-symmetric-reflection.pdf> (WIP preprint).
License: MIT + file LICENSE
URL: https://github.com/maikol-solis/topsa
BugReports: https://github.com/maikol-solis/topsa/issues
Encoding: UTF-8
LazyData: true
Imports: ggplot2, scales, sf, TDA, parallel, methods
RoxygenNote: 7.1.0
Depends: R (>= 3.6.0)
Suggests: testthat (>= 2.1.0)
NeedsCompilation: no
Packaged: 2020-09-18 12:45:23 UTC; maikol
Author: Maikol Solís [aut, cre], Alberto Hernández [ctb], Ronald A. Zuñiga-Rojas [ctb], Carlos Pasquier [ctb]
Repository: CRAN
Date/Publication: 2020-09-24 09:00:02 UTC

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New package simcross with initial version 0.3-6
Package: simcross
Version: 0.3-6
Date: 2020-09-17
Title: Simulate Experimental Crosses
Description: Simulate and plot general experimental crosses. The focus is on simulating genotypes with an aim towards flexibility rather than speed. Meiosis is simulated following the Stahl model, in which chiasma locations are the superposition of two processes: a proportion p coming from a process exhibiting no interference, and the remainder coming from a process following the chi-square model.
Author: Karl W Broman [aut, cre] (<https://orcid.org/0000-0002-4914-6671>)
Maintainer: Karl W Broman <broman@wisc.edu>
Authors@R: c(person("Karl W", "Broman", role=c("aut", "cre"), email="broman@wisc.edu", comment=c(ORCID = "0000-0002-4914-6671")))
Depends: R (>= 3.1.0)
Imports: graphics, stats, Rcpp (>= 0.12.17)
Suggests: qtl, knitr, rmarkdown, testthat, devtools, roxygen2
License: GPL-3
URL: https://kbroman.org/simcross/, https://github.com/kbroman/simcross
BugReports: https://github.com/kbroman/simcross/issues
VignetteBuilder: knitr
LinkingTo: Rcpp
LazyData: true
Encoding: UTF-8
ByteCompile: true
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2020-09-17 15:28:19 UTC; kbroman
Repository: CRAN
Date/Publication: 2020-09-24 08:50:02 UTC

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New package KneeArrower with initial version 1.0.0
Package: KneeArrower
Type: Package
Title: Finds Cutoff Points on Knee Curves
Version: 1.0.0
Author: Alan Tseng
Maintainer: Alan Tseng <alan.tseng@alum.utoronto.ca>
Description: Given a set of points around a knee curve, analyzes first and second derivatives to find knee points.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: signal
RoxygenNote: 7.1.1
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-18 01:07:10 UTC; aklt
Repository: CRAN
Date/Publication: 2020-09-24 08:30:02 UTC

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New package irt with initial version 0.1.1
Package: irt
Type: Package
Title: Item Response Theory and Computerized Adaptive Testing Functions
Version: 0.1.1
Authors@R: c(person("Emre", "Gonulates", email = "egonulates@gmail.com", role = c("aut", "cre"), comment = c(ORCID="0000-0002-3834-3266")))
Maintainer: Emre Gonulates <egonulates@gmail.com>
Description: A collection of Item Response Theory (IRT) and Computerized Adaptive Testing (CAT) functions that are used in psychometrics.
License: GPL-3
Depends: methods
LinkingTo: Rcpp
Imports: Rcpp (>= 1.0.4), ggplot2, parallel
NeedsCompilation: yes
RoxygenNote: 7.1.1
Encoding: UTF-8
LazyData: true
Collate: 'Item-class.R' 'Item-class-methods.R' 'Itempool-class.R' 'Itempool-class-methods.R' 'RcppExports.R' 'Testlet-class-methods.R' 'ability_estimation.R' 'cat_sim.R' 'cat_sim_helper_functions.R' 'dif.R' 'info.R' 'ipd.R' 'irt.R' 'item_analysis.R' 'item_fit.R' 'misc.R' 'person_fit.R' 'plot_IRT.R' 'prob.R' 'resp_lik.R' 'resp_loglik.R' 'rsss.R' 'sim_resp.R'
Packaged: 2020-09-15 18:42:13 UTC; gonul
Author: Emre Gonulates [aut, cre] (<https://orcid.org/0000-0002-3834-3266>)
Repository: CRAN
Date/Publication: 2020-09-24 06:40:03 UTC

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Wed, 23 Sep 2020

New package SLTCA with initial version 0.1.0
Package: SLTCA
Type: Package
Title: Scalable and Robust Latent Trajectory Class Analysis
Description: Conduct latent trajectory class analysis with longitudinal data. Our method supports longitudinal continuous, binary and count data. For more methodological details, please refer to Hart, K.R., Fei, T. and Hanfelt, J.J. (2020), Scalable and robust latent trajectory class analysis using artificial likelihood. Biometrics <doi:10.1111/biom.13366>.
Depends: R (>= 3.3.0)
Imports: stats, geepack, VGAM, Matrix, mvtnorm
Version: 0.1.0
Authors@R: c( person("Kari", "Hart", email = "khart@peddie.org", role = "aut"), person("Teng", "Fei", email = "tfei@emory.edu", role = c("cre","aut"), comment = c(ORCID = "0000-0001-7888-1715")), person("John", "Hanfelt", email = "jhanfel@emory.edu", role = "aut", comment = c(ORCID = "0000-0002-8488-6771")) )
Maintainer: Teng Fei <tfei@emory.edu>
BugReports: https://github.com/tengfei-emory/SLTCA/issues
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-17 18:18:58 UTC; TFEI
Author: Kari Hart [aut], Teng Fei [cre, aut] (<https://orcid.org/0000-0001-7888-1715>), John Hanfelt [aut] (<https://orcid.org/0000-0002-8488-6771>)
Repository: CRAN
Date/Publication: 2020-09-23 15:30:07 UTC

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New package omxr with initial version 0.3.3
Package: omxr
Type: Package
Title: Read and Write Open Matrix Files
Version: 0.3.3
Date: 2020-09-16
Authors@R: c( person("Brian", "Gregor", email = "", role = "aut"), person("Ben", "Stabler", email = "", role = "aut"), person("Greg", "Macfarlane", email = "gregmacfarlane@gmail.com", role = "cre") )
Description: The Open Matrix (OMX) file type is an open specification for sharing data from transportation models. The specification is built on HDF5 <https://www.hdfgroup.org/>; APIs to read and write are available for 'Cube', 'Emme', 'Python', 'Java', and 'R'.
License: Apache License 2.0
LazyData: TRUE
Suggests: knitr, tidyverse
VignetteBuilder: knitr
biocViews: rhdf5, zlibbioc
Imports: rhdf5, hms, zlibbioc, tidyr (>= 0.8.0), readr, dplyr, purrr, magrittr, rlang
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-17 16:53:48 UTC; gregmacfarlane
Author: Brian Gregor [aut], Ben Stabler [aut], Greg Macfarlane [cre]
Maintainer: Greg Macfarlane <gregmacfarlane@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-23 15:30:03 UTC

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New package combinedevents with initial version 0.1.0
Package: combinedevents
Title: Calculate Scores and Marks for Track and Field Combined Events
Version: 0.1.0
Authors@R: person(given = "Katie", family = "Frank", role = c("aut", "cre"), email = "katiexfrank@gmail.com", comment = c(ORCID = "0000-0002-0353-0328"))
Description: Includes functions to calculate scores and marks for track and field combined events competitions. The functions are based on the scoring tables for combined events set forth by the International Association of Athletics Federation (2001) <https://www.worldathletics.org/about-iaaf/documents/technical-information>.
License: GPL-3
URL: https://katie-frank.github.io/combinedevents/, https://github.com/katie-frank/combinedevents
BugReports: https://github.com/katie-frank/combinedevents/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: lubridate, magrittr, rlang, stats, stringr
Suggests: knitr, rmarkdown, testthat, spelling, covr
Depends: R (>= 2.10)
Language: en-US
NeedsCompilation: no
Packaged: 2020-09-17 14:16:45 UTC; katiefrank
Author: Katie Frank [aut, cre] (<https://orcid.org/0000-0002-0353-0328>)
Maintainer: Katie Frank <katiexfrank@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-23 14:00:02 UTC

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New package AGPRIS with initial version 1.0
Package: AGPRIS
Title: AGricultural PRoductivity in Space
Version: 1.0
Authors@R: person(given = "Edoardo", family = "Baldoni", role = c("aut", "cre"), email = "edoardo.baldoni@gmail.com", comment = c(ORCID = "https://orcid.org/0000-0002-5296-1212"))
Description: Functionalities to simulate space-time data and to estimate dynamic-spatial panel data models. Estimators implemented are the BCML (Elhorst (2010), <doi:10.1016/j.regsciurbeco.2010.03.003>), the MML (Elhorst (2010) <doi:10.1016/j.regsciurbeco.2010.03.003>) and the INLA Bayesian estimator (Lindgren and Rue, (2015) <doi:10.18637/jss.v063.i19>; Bivand, Gomez-Rubio and Rue, (2015) <doi:10.18637/jss.v063.i20>) adapted to panel data. The package contains functions to replicate the analyses of the scientific article entitled "Agricultural Productivity in Space" (Baldoni and Esposti (under revision)).
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
Imports: methods, Matrix, plyr, rgdal, sp, spdep, spacetime, matrixcalc, maxLik
Suggests: INLA
NeedsCompilation: no
Packaged: 2020-09-17 16:34:57 UTC; Edoardo
Author: Edoardo Baldoni [aut, cre] (<https://orcid.org/0000-0002-5296-1212>)
Maintainer: Edoardo Baldoni <edoardo.baldoni@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-23 15:20:02 UTC

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New package contactdata with initial version 0.1
Package: contactdata
Title: Social Contact Matrices for 152 Countries
Version: 0.1
Authors@R: c(person(given = "Hugo", family = "Gruson", role = c("cre", "aut", "cph"), email = "hugo.gruson+R@normalesup.org", comment = c(ORCID = "0000-0002-4094-1476")), person(given = "Kiesha", family = "Prem", role = "dtc", comment = c(ORCID = "0000-0003-0528-798X")), person(given = c("Alex", "Richard"), family = "Cook", role = "dtc", comment = c(ORCID = "0000-0002-6271-5832")), person(given = "Mark", family = "Jit", role = "dtc", comment = c(ORCID = "0000-0001-6658-8255")))
Description: Data package for the supplementary data in Prem et al. (2017) <doi:10.1371/journal.pcbi.1005697>. Provides easy access to contact data for 152 countries, for use in epidemiological, demographic or social sciences research.
License: MIT + file LICENSE
Depends: R (>= 3.5)
Suggests: countrycode, ggplot2, knitr, rmarkdown, spelling, testthat, covr
URL: https://bisaloo.github.io/contactdata/, https://github.com/bisaloo/contactdata
BugReports: https://github.com/bisaloo/contactdata/issues
Encoding: UTF-8
Language: en-GB
RoxygenNote: 7.1.1
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2020-09-17 11:19:25 UTC; hugo
Author: Hugo Gruson [cre, aut, cph] (<https://orcid.org/0000-0002-4094-1476>), Kiesha Prem [dtc] (<https://orcid.org/0000-0003-0528-798X>), Alex Richard Cook [dtc] (<https://orcid.org/0000-0002-6271-5832>), Mark Jit [dtc] (<https://orcid.org/0000-0001-6658-8255>)
Maintainer: Hugo Gruson <hugo.gruson+R@normalesup.org>
Repository: CRAN
Date/Publication: 2020-09-23 13:50:03 UTC

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New package EquiSurv with initial version 0.1.0
Package: EquiSurv
Type: Package
Title: Modeling, Confidence Intervals and Equivalence of Survival Curves
Version: 0.1.0
Author: Kathrin Moellenhoff
Maintainer: Kathrin Moellenhoff <kathrin.moellenhoff@rub.de>
Description: We provide a non-parametric and a parametric approach to investigate the equivalence (or non-inferiority) of two survival curves, obtained from two given datasets. The test is based on the creation of confidence intervals at pre-specified time points. For the non-parametric approach, the curves are given by Kaplan-Meier curves and the variance for calculating the confidence intervals is obtained by Greenwood's formula. The parametric approach is based on estimating the underlying distribution, where the user can choose between a Weibull, Exponential, Gaussian, Logistic, Log-normal or a Log-logistic distribution. Estimates for the variance for calculating the confidence bands are obtained by a (parametric) bootstrap approach. For this bootstrap censoring is assumed to be exponentially distributed and estimates are obtained from the datasets under consideration. All details can be found in K.Moellenhoff and A.Tresch: Survival analysis under non-proportional hazards: investigating non-inferiority or equivalence in time-to-event data <arXiv:2009.06699>.
Depends: survival, eha, graphics
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-17 08:47:18 UTC; Kathrin
Repository: CRAN
Date/Publication: 2020-09-23 13:30:02 UTC

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New package RSmallTelescopes with initial version 1.0.2
Package: RSmallTelescopes
Title: Empirical Small Telescopes Analysis
Version: 1.0.2
Authors@R: c( person(given = "John", family = "Ruscio", role = c("aut", "cre"), email = "ruscio@tcnj.edu"), person(given = "Samantha", family = "Costigan", role = c("ctb"), email = "costigs1@tcnj.edu"))
Description: We provide functions to perform an empirical small telescopes analysis. This package contains 2 functions, SimulatePower() and EstimatePower(). Users only need to call SimulatePower() to conduct the analysis. For more information on small telescopes analysis see Uri Simonsohn (2015) <doi:10.1177/0956797614567341>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-16 18:21:48 UTC; ruthec
Author: John Ruscio [aut, cre], Samantha Costigan [ctb]
Maintainer: John Ruscio <ruscio@tcnj.edu>
Repository: CRAN
Date/Publication: 2020-09-23 09:10:08 UTC

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New package path.chain with initial version 0.2.0
Package: path.chain
Type: Package
Title: Concise Structure for Chainable Paths
Version: 0.2.0
Authors@R: person(given = "Krzysztof", family = "Joachimiak", role = c("aut", "cre"), email = "joachimiak.krzysztof@gmail.com", comment = c(ORCID = "0000-0003-4780-7947"))
Description: Provides path_chain class and functions, which facilitates loading and saving directory structure in YAML configuration files via 'config' package. The file structure you created during exploration can be transformed into legible section in the config file, and then easily loaded for further usage.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/krzjoa/path.chain/issues
URL: https://github.com/krzjoa/path.chain, https://krzjoa.github.io/path.chain/
RoxygenNote: 6.1.1
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, config, yaml, fs, magrittr
VignetteBuilder: knitr
Imports: rlang, stringi, logger
NeedsCompilation: no
Packaged: 2020-09-16 21:03:38 UTC; krzysztof
Author: Krzysztof Joachimiak [aut, cre] (<https://orcid.org/0000-0003-4780-7947>)
Maintainer: Krzysztof Joachimiak <joachimiak.krzysztof@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-23 09:20:03 UTC

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New package mlquantify with initial version 0.1.4
Package: mlquantify
Type: Package
Title: Algorithms for Class Distribution Estimation
Version: 0.1.4
Authors@R: c( person("Andre", "Maletzke", email = "andregustavom@gmail.com", role = c("aut","cre")), person("Everton", "Cherman", email = "evertoncherman@gmail.com", role = "ctb"), person("Denis", "dos Reis", email = "denismr@gmail.com", role = "ctb"), person("Gustavo", "Batista", email = "g.batista@unsw.edu.au", role = "ths"))
Maintainer: Andre Maletzke <andregustavom@gmail.com>
Description: Quantification is a prominent machine learning task that has received an increasing amount of attention in the last years. The objective is to predict the class distribution of a data sample. This package is a collection of machine learning algorithms for class distribution estimation. This package include algorithms from different paradigms of quantification. These methods are described in the paper: A. Maletzke, W. Hassan, D. dos Reis, and G. Batista. The importance of the test set size in quantification assessment. In Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI20, pages 2640–2646, 2020. <doi:10.24963/ijcai.2020/366>.
License: GPL (>= 2.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Author: Andre Maletzke [aut, cre], Everton Cherman [ctb], Denis dos Reis [ctb], Gustavo Batista [ths]
RoxygenNote: 7.1.1
BugReports: https://github.com/andregustavom/mlquantify/issues
URL: https://github.com/andregustavom/mlquantify
Imports: caret, randomForest, stats
Suggests: CORElearn
Packaged: 2020-09-16 16:11:44 UTC; andregustavom
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2020-09-23 09:20:08 UTC

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New package fusionchartsR with initial version 0.0.1
Package: fusionchartsR
Type: Package
Version: 0.0.1
Title: Embedding 'FusionCharts Javascript' Library in R
Description: FusionCharts provides awesome and minimalist functions to make beautiful interactive charts <https://www.fusioncharts.com/>.
Authors@R: person(given = "Alex", family = "Yahiaoui Martinez", role = c("aut", "cre"), email = "yahiaoui-martinez.alex@outlook.com")
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: htmlwidgets, jsonlite, magrittr
Suggests: rmarkdown, knitr, shiny, testthat
NeedsCompilation: no
Packaged: 2020-09-16 16:28:11 UTC; yahia
Author: Alex Yahiaoui Martinez [aut, cre]
Maintainer: Alex Yahiaoui Martinez <yahiaoui-martinez.alex@outlook.com>
Repository: CRAN
Date/Publication: 2020-09-23 09:10:03 UTC

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New package corona with initial version 0.3.0
Package: corona
Title: Coronavirus ('Rona') Data Exploration
Version: 0.3.0
Depends: R (>= 3.5.0), plyr
Imports: gganimate, ggplot2, gridExtra, qicharts2, reshape2
Authors@R: person(given = "Jo", family = "van Schalkwyk", role = c("aut", "cre"), email = "jvanschalkwyk@gmail.com", comment = c(ORCID = "0000-0002-0082-5243"))
Maintainer: Jo van Schalkwyk <jvanschalkwyk@gmail.com>
Description: Manipulate and view coronavirus data and other societally relevant data at a basic level.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-09-17 01:16:56 UTC; jo
Author: Jo van Schalkwyk [aut, cre] (<https://orcid.org/0000-0002-0082-5243>)
Repository: CRAN
Date/Publication: 2020-09-23 09:30:03 UTC

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New package wordsalad with initial version 0.2.0
Package: wordsalad
Title: Provide Tools to Extract and Analyze Word Vectors
Version: 0.2.0
Authors@R: person(given = "Emil", family = "Hvitfeldt", role = c("aut", "cre"), email = "emilhhvitfeldt@gmail.com", comment = c(ORCID = "0000-0002-0679-1945"))
Description: Provides access to various word embedding methods (GloVe, fasttext and word2vec) to extract word vectors using a unified framework to increase reproducibility and correctness.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
Imports: tibble, text2vec, word2vec, fastTextR
Suggests: testthat
URL: https://github.com/EmilHvitfeldt/wordsalad
BugReports: https://github.com/EmilHvitfeldt/wordsalad/issues
NeedsCompilation: no
Packaged: 2020-09-15 20:34:24 UTC; emilhvitfeldthansen
Author: Emil Hvitfeldt [aut, cre] (<https://orcid.org/0000-0002-0679-1945>)
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-23 08:10:03 UTC

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New package twenty48 with initial version 0.1.0
Package: twenty48
Title: Play a Game of 2048 in the Console
Version: 0.1.0
Authors@R: person(given = "Alexander", family = "Rossell Hayes", role = c("aut", "cre", "cph"), email = "alexander@rossellhayes.com", comment = c(ORCID = "0000-0001-9412-0457"))
Description: Generates a game of 2048 that can be played in the console. Supports grids of arbitrary sizes, undoing the last move, and resuming a game that was exited during the current session.
License: MIT + file LICENSE
URL: https://github.com/rossellhayes/twenty48
BugReports: https://github.com/rossellhayes/twenty48/issues
Depends: R (>= 2.10)
Imports: crayon, R6
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-16 08:18:35 UTC; Alex
Author: Alexander Rossell Hayes [aut, cre, cph] (<https://orcid.org/0000-0001-9412-0457>)
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>
Repository: CRAN
Date/Publication: 2020-09-23 08:40:03 UTC

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New package tibblify with initial version 0.1.0
Package: tibblify
Title: Rectangle Nested Lists
Version: 0.1.0
Authors@R: person(given = "Maximilian", family = "Girlich", role = c("aut", "cre"), email = "maximilian.girlich@outlook.com")
Description: A tool to rectangle a nested list, that is to convert it into a tibble. This is done automatically or according to a given specification. A common use case is for nested lists coming from parsing JSON files or the JSON response of REST APIs. It is supported by the 'vctrs' package and therefore offers a wide support of vector types.
License: GPL-3
Suggests: testthat, knitr, rmarkdown, covr, spelling
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: crayon, rlang, vctrs, purrr, tibble
VignetteBuilder: knitr
Depends: R (>= 3.4.0)
URL: https://github.com/mgirlich/tibblify
BugReports: https://github.com/mgirlich/tibblify/issues
Language: en-US
NeedsCompilation: no
Packaged: 2020-09-16 06:55:20 UTC; mgirlich
Author: Maximilian Girlich [aut, cre]
Maintainer: Maximilian Girlich <maximilian.girlich@outlook.com>
Repository: CRAN
Date/Publication: 2020-09-23 08:40:07 UTC

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New package T4cluster with initial version 0.1.0
Package: T4cluster
Type: Package
Title: Tools for Cluster Analysis
Version: 0.1.0
Authors@R: c(person("Kisung", "You", role = c("aut", "cre"), email = "kyoustat@gmail.com",comment=c(ORCID="0000-0002-8584-459X")))
Encoding: UTF-8
Description: Cluster analysis is one of the most fundamental problems in data science. We provide a variety of algorithms from clustering to the learning on the space of partitions. See Hennig, Meila, and Rocci (2016, ISBN:9781466551886) for general exposition to cluster analysis.
License: MIT + file LICENSE
Imports: Rcpp (>= 1.0.5), Rdpack, Rdimtools, maotai, stats, utils
URL: http://kyoustat.com/T4cluster/
BugReports: https://github.com/kyoustat/T4cluster/issues
LinkingTo: Rcpp, RcppArmadillo
RdMacros: Rdpack
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2020-09-16 03:43:35 UTC; kisung
Author: Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)
Maintainer: Kisung You <kyoustat@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-23 08:30:02 UTC

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New package SlaPMEG with initial version 1.0.0
Package: SlaPMEG
Type: Package
Title: Pathway Testing for Longitudinal Omics
Version: 1.0.0
Author: Mitra Ebrahimpoor
Maintainer: Mitra Ebrahimpoor <mitra.ebrahimpoor@gmail.com>
Description: A self-contained hypothesis is tested for a given pathway of longitudinal omics. 'SlaPMEG' is a two-step procedure. First, a shared latent process mixed model is fitted over the longitudinal measures of omics in a pathway. This shared model allows deviation from the shared process at subject level (a random intercept, slope, or both per subject) and also at omic level (a random effect per omic). These random effects summarize the longitudinal trend of the observations which can be used to test for group differences using 'Globaltest' in the second step. If the pathway is large or the shared effect is small, the package fits a series of pairwise models and estimates the shared random effects based on them.
License: GPL (>= 2)
Date: 2020-09-05
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: lme4 (>= 1.1.21), lcmm (>= 1.8.1), globaltest (>= 5.36.0), magic (>= 1.5.9), reshape2 (>= 1.4.3), ggplot2 (>= 3.2.1), mvtnorm
NeedsCompilation: no
Packaged: 2020-09-15 19:37:47 UTC; mebrahimpoor
Repository: CRAN
Date/Publication: 2020-09-23 08:10:08 UTC

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New package RJcluster with initial version 0.1.0
Package: RJcluster
Title: RJ Clustering Algorithm
Version: 0.1.0
Authors@R: c(person(given = "Rachael", family = "Shudde", role = c("aut", "cre"), email = "rachael.shudde@gmail.com"), person(given = "Shahina", family = "Rahman", role = c("aut"), email = "srahman@stat.tamu.edu"), person(given = "Valen", family = "Johnson", role = c("aut"), email = "vejohnson@exchange.tamu.edu"))
Description: Clustering algorithm for high dimensional data. This algorithm is ideal for data where n << p.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 1.0.2), matrixStats, infotheo, rlang, stats, graphics, profvis, mclust, doParallel, foreach, parallel
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 2.1.0), knitr, rmarkdown
RoxygenNote: 7.1.1
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2020-09-15 18:02:51 UTC; rachaelshudde
Author: Rachael Shudde [aut, cre], Shahina Rahman [aut], Valen Johnson [aut]
Maintainer: Rachael Shudde <rachael.shudde@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-23 08:00:06 UTC

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New package mmb with initial version 0.13.3
Package: mmb
Type: Package
Title: Arbitrary Dependency Mixed Multivariate Bayesian Models
Version: 0.13.3
Author: Sebastian Hönel
Maintainer: Sebastian Hönel <sebastian.honel@lnu.se>
Description: Supports Bayesian models with full and partial (hence arbitrary) dependencies between random variables. Discrete and continuous variables are supported, and conditional joint probabilities and probability densities are estimated using Kernel Density Estimation (KDE). The full general form, which implements an extension to Bayes' theorem, as well as the simple form, which is just a Bayesian network, both support regression through segmentation and KDE and estimation of probability or relative likelihood of discrete or continuous target random variables. This package also provides true statistical distance measures based on Bayesian models. Furthermore, these measures can be facilitated on neighborhood searches, and to estimate the similarity and distance between data points. Related work is by Bayes (1763) <doi:10.1098/rstl.1763.0053> and by Scutari (2010) <doi:10.18637/jss.v035.i03>.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/MrShoenel/R-mmb
BugReports: https://github.com/MrShoenel/R-mmb/issues
LazyData: true
VignetteBuilder: knitr
Suggests: devtools, testthat, covr, e1071, caret, knitr, rmarkdown, ggplot2, ggpubr, cowplot, philentropy, Rtsne
RoxygenNote: 7.1.1
Imports: Rdpack, datasets, stats, foreach, parallel, doParallel
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2020-09-15 19:37:43 UTC; Admin
Repository: CRAN
Date/Publication: 2020-09-23 08:00:02 UTC

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New package MABOUST with initial version 1.0.0
Package: MABOUST
Type: Package
Title: Multi-Armed Bayesian Ordinal Utility-Based Sequential Trial
Version: 1.0.0
Author: Andrew Chapple
Maintainer: Andrew Chapple <achapp@lsuhsc.edu>
Description: Conducts and simulates the MABOUST design, including making interim decisions to stop a treatment for inferiority or stop the trial early for superiority or equivalency.
License: GPL-2
Imports: Rcpp (>= 0.12.18)
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2020-09-15 20:00:10 UTC; achapp
Repository: CRAN
Date/Publication: 2020-09-23 08:10:15 UTC

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New package rmdcev with initial version 1.2.3
Package: rmdcev
Type: Package
Title: Kuhn-Tucker and Multiple Discrete-Continuous Extreme Value Models
Version: 1.2.3
Authors@R: c( person(given = "Patrick", family = "Lloyd-Smith", role = c("aut", "cre"), email = "patrick.lloydsmith@usask.ca"), person("Trustees of", "Columbia University", role = "cph"))
Maintainer: Patrick Lloyd-Smith <patrick.lloydsmith@usask.ca>
Description: Estimates and simulates Kuhn-Tucker demand models with individual heterogeneity. The package implements the multiple-discrete continuous extreme value (MDCEV) model and the Kuhn-Tucker specification common in the environmental economics literature on recreation demand. Latent class and random parameters specifications can be implemented and the models are fit using maximum likelihood estimation or Bayesian estimation. All models are implemented in Stan, which is a C++ package for performing full Bayesian inference (see Stan Development Team, 2019) <https://mc-stan.org/>. The package also implements demand forecasting (Pinjari and Bhat (2011) <https://repositories.lib.utexas.edu/handle/2152/23880>) and welfare calculation (Lloyd-Smith (2018) <doi:10.1016/j.jocm.2017.12.002>) for policy simulation.
License: MIT + file LICENSE
Depends: R (>= 3.6.0), Rcpp (>= 1.0.5), methods
Imports: rstan (>= 2.21.0), rstantools (>= 2.1.1), RcppParallel (>= 5.0.1), dplyr (>= 0.7.8), purrr, tibble, tidyr, utils, stats, Formula
LinkingTo: BH (>= 1.72.0), Rcpp, RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.21.0), StanHeaders (>= 2.21.0)
Encoding: UTF-8
LazyData: true
Repository: CRAN
SystemRequirements: GNU make
RoxygenNote: 7.1.1
Biarch: true
Suggests: knitr, rmarkdown, testthat
URL: https://github.com/plloydsmith/rmdcev
BugReports: https://github.com/plloydsmith/rmdcev/issues
Author: Patrick Lloyd-Smith [aut, cre], Trustees of Columbia University [cph]
NeedsCompilation: yes
Packaged: 2020-09-22 04:33:54 UTC; Pat
Date/Publication: 2020-09-23 06:30:02 UTC

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New package GMMAT with initial version 1.3.1
Package: GMMAT
Version: 1.3.1
Date: 2020-09-14
Title: Generalized Linear Mixed Model Association Tests
Author: Han Chen, Matthew P. Conomos, Duy T. Pham
Maintainer: Han Chen <Han.Chen.2@uth.tmc.edu>
Description: Perform association tests using generalized linear mixed models (GLMMs) in genome-wide association studies (GWAS) and sequencing association studies. First, GMMAT fits a GLMM with covariate adjustment and random effects to account for population structure and familial or cryptic relatedness. For GWAS, GMMAT performs score tests for each genetic variant as proposed in Chen et al. (2016) <DOI:10.1016/j.ajhg.2016.02.012>. For candidate gene studies, GMMAT can also perform Wald tests to get the effect size estimate for each genetic variant. For rare variant analysis from sequencing association studies, GMMAT performs the variant Set Mixed Model Association Tests (SMMAT) as proposed in Chen et al. (2019) <DOI:10.1016/j.ajhg.2018.12.012>, including the burden test, the sequence kernel association test (SKAT), SKAT-O and an efficient hybrid test of the burden test and SKAT, based on user-defined variant sets.
License: GPL-3
Copyright: See COPYRIGHTS for details.
Imports: Rcpp, SeqArray, SeqVarTools, CompQuadForm, foreach, parallel, Matrix, methods
Suggests: doMC, testthat
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Depends: R (>= 3.2.0)
Packaged: 2020-09-21 15:50:00 UTC; hchen
Repository: CRAN
Date/Publication: 2020-09-23 06:30:23 UTC

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Tue, 22 Sep 2020

New package ERSA with initial version 0.1.3
Package: ERSA
Type: Package
Title: Exploratory Regression 'Shiny' App
Version: 0.1.3
Date: 2020-9-22
Author: Catherine B. Hurley
Maintainer: Catherine B. Hurley <catherine.hurley@mu.ie>
Description: Constructs a 'shiny' app function with interactive displays for summary and analysis of variance regression tables, and parallel coordinate plots of data and residuals.
License: GPL (>= 2.0)
Encoding: UTF-8
LazyData: true
Imports: shiny, miniUI,RColorBrewer, ggplot2, car, leaps, broom, dplyr, tidyr, purrr, combinat,stats, methods
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-22 19:54:07 UTC; catherine
Repository: CRAN
Date/Publication: 2020-09-22 23:00:02 UTC

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New package gutenbergr with initial version 0.2.0
Package: gutenbergr
Type: Package
Title: Download and Process Public Domain Works from Project Gutenberg
Version: 0.2.0
Authors@R: person("David", "Robinson", email = "admiral.david@gmail.com", role = c("aut", "cre"))
Description: Download and process public domain works in the Project Gutenberg collection <http://www.gutenberg.org/>. Includes metadata for all Project Gutenberg works, so that they can be searched and retrieved.
License: GPL-2
LazyData: TRUE
Maintainer: David Robinson <admiral.david@gmail.com>
URL: https://docs.ropensci.org/gutenbergr/, https://github.com/ropensci/gutenbergr
BugReports: https://github.com/ropensci/gutenbergr/issues
VignetteBuilder: knitr
Depends: R (>= 2.10)
Imports: dplyr, readr, purrr, urltools, stringr, lazyeval
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, testthat, tidytext, ggplot2, tidyr, curl
Language: en-US
NeedsCompilation: no
Packaged: 2020-09-21 20:27:53 UTC; davidrobinson
Author: David Robinson [aut, cre]
Repository: CRAN
Date/Publication: 2020-09-22 17:00:02 UTC

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New package BiasCorrector with initial version 0.1.2
Package: BiasCorrector
Title: A GUI to Correct Measurement Bias in DNA Methylation Analyses
Version: 0.1.2
Date: 2020-09-22
Authors@R: c(person(given = "Lorenz A.", family = "Kapsner", role = c("cre", "aut", "cph"), email = "lorenz.kapsner@gmail.com", comment = c(ORCID = "0000-0003-1866-860X")), person(given = "Evgeny A.", family = "Moskalev", role = "aut"))
Description: A GUI to correct measurement bias in DNA methylation analyses. The 'BiasCorrector' package just wraps the functions implemented in the 'R' package 'rBiasCorrection' into a shiny web application in order to make them more easily accessible.
License: GPL-3
URL: https://github.com/kapsner/BiasCorrector
BugReports: https://github.com/kapsner/BiasCorrector/issues
Depends: R (>= 2.10)
Imports: data.table, DT, magrittr, rBiasCorrection, shiny, shinydashboard, shinyjs
Suggests: lintr, testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-22 11:51:59 UTC; user
Author: Lorenz A. Kapsner [cre, aut, cph] (<https://orcid.org/0000-0003-1866-860X>), Evgeny A. Moskalev [aut]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-22 15:20:21 UTC

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New package usemodels with initial version 0.0.1
Package: usemodels
Title: Boilerplate Code for 'Tidymodels' Analyses
Version: 0.0.1
Authors@R: c( person( given = "Max", family = "Kuhn", email = "max@rstudio.com", comment = c(ORCID = "0000-0003-2402-136X"), role = c("aut", "cre") ), person("RStudio", role = "cph"))
Description: Code snippets to fit models using the tidymodels framework can be easily created for a given data set.
URL: https://tidymodels.github.io/usemodels/, https://github.com/tidymodels/usemodels
BugReports: https://github.com/tidymodels/usemodels/issues
License: MIT + file LICENSE
Suggests: testthat, spelling, covr, palmerpenguins
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Language: en-US
Imports: tune (>= 0.1.1), cli, recipes, rlang, purrr, dplyr, tidyr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2020-09-15 02:15:15 UTC; max
Author: Max Kuhn [aut, cre] (<https://orcid.org/0000-0003-2402-136X>), RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>
Repository: CRAN
Date/Publication: 2020-09-22 09:30:03 UTC

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New package unnest with initial version 0.0.2
Package: unnest
Title: Unnest Hierarchical Data Structures
Version: 0.0.2
Authors@R: person(given = "Vitalie", family = "Spinu", role = c("aut", "cre"), email = "spinuvit@gmail.com")
Description: Fast flattening of hierarchical data structures (e.g. JSON and XML documents) into data.frames with a flexible spec language.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: data.table, dplyr, knitr, repurrrsive, rmarkdown, roxygen2, testthat, tibble, tidyr
VignetteBuilder: knitr
URL: https://github.com/vspinu/unnest
BugReports: https://github.com/vspinu/unnest/issues
NeedsCompilation: yes
Packaged: 2020-09-15 09:29:25 UTC; vspinu
Author: Vitalie Spinu [aut, cre]
Maintainer: Vitalie Spinu <spinuvit@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-22 09:40:02 UTC

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New package Riemann with initial version 0.1.0
Package: Riemann
Type: Package
Title: Learning with Data on Riemannian Manifolds
Version: 0.1.0
Authors@R: c(person("Kisung", "You", role = c("aut", "cre"), email = "kyoustat@gmail.com",comment=c(ORCID="0000-0002-8584-459X")))
Description: We provide a variety of algorithms for manifold-valued data, including Fréchet summaries, hypothesis testing, clustering, visualization, and other learning tasks. See Bhattacharya and Bhattacharya (2012) <doi:10.1017/CBO9781139094764> for general exposition to statistics on manifolds.
License: MIT + file LICENSE
Imports: Rcpp (>= 1.0.5), Rdpack, RiemBase, maotai, stats, utils
Encoding: UTF-8
URL: http://kyoustat.com/Riemann/
BugReports: https://github.com/kyoustat/Riemann/issues
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.1.1
RdMacros: Rdpack
NeedsCompilation: yes
Packaged: 2020-09-15 11:49:51 UTC; kisung
Author: Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)
Maintainer: Kisung You <kyoustat@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-22 09:40:06 UTC

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New package MonteCarloSEM with initial version 0.0.1
Type: Package
Package: MonteCarloSEM
Title: Monte Carlo Data Simulation Package
Version: 0.0.1
Authors@R: person(given = "Fatih", family = "Orcan", role = c("aut", "cre"), email = "fatihorcan84@gmail.com", comment = c(ORCID = "0000-0003-1727-0456"))
Description: Monte Carlo simulation allows to test different conditions given to the correct structural equation models. This package runs Monte Carlo simulations under different conditions (such as sample size or normality of data). Within the package data sets can be simulated and run based on the given model. First, continuous and normal data sets are generated based on the given model. Later Fleishman's power method (1978) <DOI:10.1007/BF02293811> is used to add non-normality if exists. When data generation is completed (or when generated data sets are given) model test can also be run.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.1
Imports: Matrix, stats, utils, lavaan
Copyright: Fatih Orcan, Trabzon University, Turkey
LazyData: true
NeedsCompilation: no
Packaged: 2020-09-15 17:26:50 UTC; FO
Author: Fatih Orcan [aut, cre] (<https://orcid.org/0000-0003-1727-0456>)
Maintainer: Fatih Orcan <fatihorcan84@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-22 09:50:12 UTC

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New package LifeInsuranceContracts with initial version 0.0.2
Package: LifeInsuranceContracts
Type: Package
Version: 0.0.2
Date: 2020-09-14
Title: Framework for Traditional Life Insurance Contracts
Description: R6 classes to model traditional life insurance contracts like annuities, whole life insurances or endowments. Such life insurance contracts provide a guaranteed interest and are not directly linked to the performance of a particular investment vehicle. However, they typically provide (discretionary) profit participation. This package provides a framework to model such contracts in a very generic (cash-flow-based) way and includes modelling profit participation schemes, dynamic increases or more general contract layers, as well as contract changes (like sum increases or premium waivers). All relevant quantities like premium decomposition, reserves and benefits over the whole contract period are calculated and potentially exported to excel. Mortalities are given using the 'MortalityTables' package.
Authors@R: c(person("Reinhold", "Kainhofer", role=c("aut", "cre"), email="reinhold@kainhofer.com"))
Author: Reinhold Kainhofer [aut, cre]
Maintainer: Reinhold Kainhofer <reinhold@kainhofer.com>
Encoding: UTF-8
Imports: R6, MortalityTables, objectProperties, lubridate, openxlsx, dplyr, scales, abind, stringr, methods, rlang
License: GPL (>= 2)
RoxygenNote: 7.1.1
Collate: 'HelperFunctions.R' 'InsuranceParameters.R' 'ProfitParticipation_Functions.R' 'ProfitParticipation.R' 'InsuranceTarif.R' 'InsuranceContract.R' 'addDataTableWorksheet.R' 'contractGrid.R' 'exportInsuranceContract_xlsx.R' 'showVmGlgExamples.R' 'exportInsuranceContractExample.R'
Suggests: knitr, rmarkdown, pander, kableExtra, magrittr, tibble, testthat
VignetteBuilder: knitr
URL: https://gitlab.open-tools.net/R/r-life-insurance-contracts
BugReports: https://gitlab.open-tools.net/R/r-life-insurance-contracts/-/issues
NeedsCompilation: no
Packaged: 2020-09-14 21:45:38 UTC; reinhold
Repository: CRAN
Date/Publication: 2020-09-22 09:10:02 UTC

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New package gauseR with initial version 1.0
Package: gauseR
Title: Lotka-Volterra Models for Gause's 'Struggle for Existence'
Version: 1.0
Authors@R: c(person("Adam", "Clark", role = c("aut", "cre"), email = c("adam.tclark@gmail.com"), comment = c(ORCID = "0000-0002-8843-3278")), person("Lina", "Mühlbauer", role = c("aut")), person("Maximilienne", "Schulze", role = c("aut")))
Description: A collection of tools and data for analyzing the Gause microcosm experiments, and for fitting Lotka-Volterra models to time series data. Includes methods for fitting single-species logistic growth, and multi-species interaction models, e.g. of competition, predator/prey relationships, or mutualism. See documentation for individual functions for examples. In general, see the lv_optim() function for examples of how to fit parameter values in multi-species systems. Note that the general methods applied here, as well as the form of the differential equations that we use, are described in detail in the Quantitative Ecology textbook by Lehman et al., available at <http://hdl.handle.net/11299/204551>, and in Lina K. Mühlbauer, Maximilienne Schulze, W. Stanley Harpole, and Adam T. Clark. 'gauseR': Simple methods for fitting Lotka-Volterra models describing Gause's 'Struggle for Existence' in the journal Ecology and Evolution.
Imports: deSolve, stats, graphics
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-15 13:55:51 UTC; adamt
Author: Adam Clark [aut, cre] (<https://orcid.org/0000-0002-8843-3278>), Lina Mühlbauer [aut], Maximilienne Schulze [aut]
Maintainer: Adam Clark <adam.tclark@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-22 09:50:07 UTC

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New package cat2cat with initial version 0.1.3
Package: cat2cat
Title: Mapping of a Categorical Variable in a Panel Dataset
Version: 0.1.3
Authors@R: person("Maciej", "Nasinski", email = "nasinski.maciej@gmail.com", role = c("aut", "cre"))
Maintainer: Maciej Nasinski <nasinski.maciej@gmail.com>
Description: There are offered automatic methods to map a categorical variable according to a specific encoding across different time points. The main rule is to replicate the observation if it could be assign to a few categories. Then using simple frequencies or statistical methods to approximate probabilities of being assign to each of them. This algorithm was invented and implemented in the paper by Nasinski, Majchrowska and Broniatowska (2020) <doi:10.24425/cejeme.2020.134747>).
Depends: R (>= 3.6)
License: GPL (>= 2)
URL: https://github.com/Polkas/cat2cat
BugReports: https://github.com/Polkas/cat2cat/issues
Encoding: UTF-8
Imports: methods, rlang, caret, progress, magrittr, randomForest, MASS, tidyr, dplyr, data.table
Suggests: knitr, rmarkdown, pacman, testthat
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-09-15 17:55:13 UTC; maciej
Author: Maciej Nasinski [aut, cre]
Repository: CRAN
Date/Publication: 2020-09-22 10:00:02 UTC

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New package BayesianLaterality with initial version 0.1.0
Package: BayesianLaterality
Type: Package
Title: Predict Brain Asymmetry Based on Handedness and Dichotic Listening
Version: 0.1.0
Author: Oystein Sorensen
Maintainer: Oystein Sorensen <oystein.sorensen.1985@gmail.com>
Description: Functional differences between the cerebral hemispheres are a fundamental characteristic of the human brain. Researchers interested in studying these differences often infer underlying hemispheric dominance for a certain function (e.g., language) from laterality indices calculated from observed performance or brain activation measures . However, any inference from observed measures to latent (unobserved) classes has to consider the prior probability of class membership in the population. The provided functions implement a Bayesian model for predicting hemispheric dominance from observed laterality indices (Sorensen and Westerhausen, Laterality: Asymmetries of Body, Brain and Cognition, 2020, <doi:10.1080/1357650X.2020.1769124>).
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
Imports: dplyr (>= 1.0.2), purrr (>= 0.3.4), rlang (>= 0.4.7), tidyr (>= 1.1.2), tmvtnorm (>= 1.4-10), Rdpack
Suggests: roxygen2, testthat (>= 2.1.0)
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2020-09-15 05:09:29 UTC; oyss
Repository: CRAN
Date/Publication: 2020-09-22 09:30:07 UTC

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New package tipitaka with initial version 0.1.0
Package: tipitaka
Type: Package
Title: A Package for Analyzing the Pali Canon
Version: 0.1.0
Authors@R: person(given = "Dan", family = "Zigmond", role = c("aut", "cre"), email = "djz@shmonk.com")
Description: Provides access to the complete Pali Canon, or Tipitaka, the canonical scripture for Theravadin Buddhists worldwide.
License: CC0
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
Imports: stringr, dplyr, magrittr, stringi
NeedsCompilation: no
Packaged: 2020-09-13 22:42:30 UTC; danzigmond
Author: Dan Zigmond [aut, cre]
Maintainer: Dan Zigmond <djz@shmonk.com>
Repository: CRAN
Date/Publication: 2020-09-22 08:30:03 UTC

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New package testComplexity with initial version 0.1.0
Package: testComplexity
Title: Asymptotic Complexity Testing Framework
Version: 0.1.0
Author: Anirban Chetia <bloodraven166@gmail.com>
Maintainer: Anirban Cheta <bloodraven166@gmail.com>
Description: It classifies the asymptotic time/memory complexity class for an algorithm/function through the complexity classifiers, with data frames returned by the quantifiers. The data frames can be passed onto the plotting functions for obtaining a visual description of the benchmarks against data sizes if the user intends to diagnose the trend via the traditional method. For testing the algorithm against an expected time complexity class, the user can directly use the expect functions. Please check <https://anirban166.github.io/testComplexity/articles/testComplexity> to get started.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
URL: https://github.com/Anirban166/testComplexity
BugReports: https://github.com/Anirban166/testComplexity/issues
VignetteBuilder: knitr
Imports: boot, utils, microbenchmark, bench, ggplot2, stats, testthat (>= 2.1.0)
Suggests: covr, knitr, rmarkdown, PeakSegDP, PeakSegOptimal
NeedsCompilation: no
Packaged: 2020-09-14 05:21:00 UTC; HP
Repository: CRAN
Date/Publication: 2020-09-22 08:30:08 UTC

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New package SDCNway with initial version 1.0.0
Version: 1.0.0
Date: 2020-08-19
Title: Tools to Evaluate Disclosure Risk
Authors@R: c(person(given = "John", family = "Riddles", role = c("aut", "cre"), email = "JohnRiddles@westat.com"), person("Westat", role = "cph"))
Maintainer: John Riddles <JohnRiddles@westat.com>
Depends: R (>= 3.6.0), Rdpack
Imports: methods, plyr (>= 1.8.5), dplyr (>= 0.8.4), ggplot2 (>= 3.2.1), MASS (>= 3.6.0)
RdMacros: Rdpack
Description: Tools for calculating disclosure risk measures, including record-level measures primarily using exhaustive tabulation, as well as file-level measures using a loglinear model. Funded by the National Center for Education Statistics. See El Emam (2011) <doi:10.1186/gm239> for a description of risk measures.
Note: This publication was prepared for NCES under Contract No. ED-IES-12-D-0009/0005 with Sanametrix and Westat. Mention of trade names, commercial products, or organizations does not imply endorsement by the U.S. Government.
Package: SDCNway
License: GPL-2
Encoding: UTF-8
LazyData: true
ByteCompile: true
NeedsCompilation: no
RoxygenNote: 7.1.0
Packaged: 2020-09-08 14:04:48 UTC; riddles_j
Author: John Riddles [aut, cre], Westat [cph]
Repository: CRAN
Date/Publication: 2020-09-22 08:40:07 UTC

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New package sanic with initial version 0.0.1
Package: sanic
Type: Package
Title: Solving Ax = b Nimbly in C++
Version: 0.0.1
Date: 2020-09-04
Authors@R: c(person("Nikolas", "Kuschnig", role = c("aut", "cre"), email = "nikolas.kuschnig@wu.ac.at", comment = c(ORCID = "0000-0002-6642-2543")))
Author: Nikolas Kuschnig [aut, cre] (<https://orcid.org/0000-0002-6642-2543>)
Maintainer: Nikolas Kuschnig <nikolas.kuschnig@wu.ac.at>
Description: Routines for solving large systems of linear equations in R. Direct and iterative solvers from the Eigen C++ library are made available. Solvers include Cholesky, LU, QR, and Krylov subspace methods (Conjugate Gradient, BiCGSTAB). Both dense and sparse problems are supported.
URL: https://github.com/nk027/sanic
BugReports: https://github.com/nk027/sanic/issues
Depends: R (>= 3.3.0)
Imports: Rcpp (>= 1.0.5), Matrix, methods
License: GPL-3
Encoding: UTF-8
LinkingTo: Rcpp, RcppEigen
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2020-09-14 09:39:36 UTC; nikolas
Repository: CRAN
Date/Publication: 2020-09-22 08:40:03 UTC

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New package rumidas with initial version 0.1.0
Package: rumidas
Title: Univariate GARCH-MIDAS, Double-Asymmetric GARCH-MIDAS and MEM-MIDAS
Version: 0.1.0
Authors@R: person("Vincenzo", "Candila", email="vincenzo.candila@uniroma1.it", role=c("aut", "cre"))
Description: Adds the MIxing Data Sampling (MIDAS, Ghysels et al. (2007) <doi:10.1080/07474930600972467>) components within the GARCH (Engle et al. (2013) <doi:10.1162/REST_a_00300>) and MEM (Engle (2002) <doi:10.1002/jae.683>) frameworks, with the aim of predicting the volatility with additional low-frequency (that is, MIDAS) terms. The estimation takes place through simple functions, which provide in-sample and (if present) and out-of-sample evaluations. 'rumidas' also offers a summary tool, which synthesizes the main information of the estimated model. Finally, an option to generate one-step-ahead volatility forecasts automatically divides the whole period into a training and testing samples.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
RdMacros: Rdpack
Depends: R (>= 4.0.0), maxLik (>= 1.3-8)
Imports: highfrequency (>= 0.6.5), roll (>= 1.1.4), xts (>= 0.12.0), tseries (>= 0.10.47), Rdpack (>= 1.0.0), lubridate (>= 1.7.9), zoo (>= 1.8.8), stats (>= 4.0.2), utils (>= 4.0.2)
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2020-09-14 13:40:42 UTC; Vincenzo
Author: Vincenzo Candila [aut, cre]
Maintainer: Vincenzo Candila <vincenzo.candila@uniroma1.it>
Repository: CRAN
Date/Publication: 2020-09-22 08:50:02 UTC

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New package mrregression with initial version 1.0.0
Package: mrregression
Type: Package
Title: Regression Analysis for Very Large Data Sets via Merge and Reduce
Version: 1.0.0
Author: Esther Denecke [aut], Leo N. Geppert [aut, cre], Steffen Maletz [ctb], R Core Team [ctb]
Maintainer: Leo N. Geppert <geppert@statistik.uni-dortmund.de>
Description: Frequentist and Bayesian linear regression for large data sets. Useful when the data does not fit into memory (for both frequentist and Bayesian regression), to make running time manageable (mainly for Bayesian regression), and to reduce the total running time because of reduced or less severe memory-spillover into the virtual memory. This is an implementation of Merge & Reduce for linear regression as described in Geppert, L.N., Ickstadt, K., Munteanu, A., & Sohler, C. (2020). 'Streaming statistical models via Merge & Reduce'. International Journal of Data Science and Analytics, 1-17, <doi:10.1007/s41060-020-00226-0>.
Depends: R (>= 4.0.0), Rcpp (>= 1.0.5),
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: testthat (>= 2.3.2),
Imports: data.table (>= 1.12.8),
Enhances: rstan (>= 2.19.3),
NeedsCompilation: no
Packaged: 2020-09-13 15:47:51 UTC; leo
Repository: CRAN
Date/Publication: 2020-09-22 08:20:02 UTC

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New package BVARverse with initial version 0.0.1
Package: BVARverse
Type: Package
Title: Tidy Bayesian Vector Autoregression
Version: 0.0.1
Date: 2020-09-07
Authors@R: c(person("Lukas", "Vashold", role = c("aut", "cre"), email = "lukas.vashold@wu.ac.at", comment = c(ORCID = "0000-0002-3562-3414")), person("Nikolas", "Kuschnig", role = c("aut"), comment = c(ORCID = "0000-0002-6642-2543")))
Author: Lukas Vashold [aut, cre] (<https://orcid.org/0000-0002-3562-3414>), Nikolas Kuschnig [aut] (<https://orcid.org/0000-0002-6642-2543>)
Maintainer: Lukas Vashold <lukas.vashold@wu.ac.at>
Description: Functions to prepare tidy objects from estimated models via 'BVAR' (see Kuschnig & Vashold, 2019 <doi:10.13140/RG.2.2.25541.60643>) and visualisation thereof. Bridges the gap between estimating models with 'BVAR' and plotting the results in a more sophisticated way with 'ggplot2' as well as passing them on in a tidy format.
URL: https://github.com/nk027/bvarverse
BugReports: https://github.com/nk027/bvarverse/issues
Depends: R (>= 3.5.0), BVAR
Imports: ggplot2, tidyr, generics, rlang
Suggests: tinytest
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-13 20:09:25 UTC; lukas
Repository: CRAN
Date/Publication: 2020-09-22 08:20:12 UTC

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New package bravo with initial version 1.0.3
Package: bravo
Type: Package
Title: Bayesian Screening and Variable Selection
Version: 1.0.3
Author: Dongjin Li [aut, cre], Somak Dutta [aut], Vivekananda Roy [ctb]
Maintainer: Dongjin Li <dongjl@iastate.edu>
Description: Performs Bayesian variable selection with embedded screening for ultra-high dimensional Gaussian linear regression models. The methodology is described in Li, Dutta and Roy (2020) <arXiv:2006.07561>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0.2), methods
Imports: Rcpp (>= 1.0.2), Matrix (>= 1.2-17), compiler
LinkingTo: Rcpp
NeedsCompilation: yes
RoxygenNote: 7.1.1
Packaged: 2020-09-04 03:18:30 UTC; liyangxiaobei
Repository: CRAN
Date/Publication: 2020-09-22 08:20:06 UTC

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New package TestCor with initial version 0.0.2.1
Package: TestCor
Title: FWER and FDR Controlling Procedures for Multiple Correlation Tests
Version: 0.0.2.1
Date: 2020-09-18
Authors@R: c( person("Gannaz", "Irene", email = "irene.gannaz@insa-lyon.fr", role = c("aut","cre")))
Maintainer: Gannaz Irene <irene.gannaz@insa-lyon.fr>
Description: Different multiple testing procedures for correlation tests are implemented. These procedures were shown to theoretically control asymptotically the Family Wise Error Rate (Roux (2018) <https://tel.archives-ouvertes.fr/tel-01971574v1>) or the False Discovery Rate (Cai & Liu (2016) <doi:10.1080/01621459.2014.999157>). The package gather four test statistics used in correlation testing, four FWER procedures with either single step or stepdown versions, and four FDR procedures.
Depends: R (>= 3.4)
Encoding: UTF-8
License: GPL (>= 2)
Imports: Rcpp, MASS, stats
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.1.1
NeedsCompilation: yes
Author: Gannaz Irene [aut, cre]
Packaged: 2020-09-21 12:33:36 UTC; igannaz
Repository: CRAN
Date/Publication: 2020-09-22 06:30:25 UTC

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New package rBiasCorrection with initial version 0.2.2
Package: rBiasCorrection
Title: Correct Bias in DNA Methylation Analyses
Version: 0.2.2
Authors@R: c(person(given = "Lorenz A.", family = "Kapsner", role = c("cre", "aut", "cph"), email = "lorenz.kapsner@gmail.com", comment = c(ORCID = "0000-0003-1866-860X")), person(given = "Evgeny A.", family = "Moskalev", role = "aut"))
Description: Implementation of the algorithms (with minor modifications) to correct bias in quantitative DNA methylation analyses as described by Moskalev et al. (2011) <doi:10.1093/nar/gkr213>.
License: GPL-3
URL: https://github.com/kapsner/rBiasCorrection
BugReports: https://github.com/kapsner/rBiasCorrection/issues
Depends: R (>= 2.10)
Imports: data.table, future, future.apply, ggplot2, ggpubr, magrittr, nls2, polynom, stats
Suggests: knitr, lintr, microbenchmark, rmarkdown, testthat
VignetteBuilder: knitr
Date/Publication: 2020-09-22 06:30:07 UTC
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-13 19:52:45 UTC; user
Author: Lorenz A. Kapsner [cre, aut, cph] (<https://orcid.org/0000-0003-1866-860X>), Evgeny A. Moskalev [aut]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>
Repository: CRAN

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New package faux with initial version 0.0.1.5
Package: faux
Title: Simulation for Factorial Designs
Version: 0.0.1.5
Date: 2020-09-11
Authors@R: c( person( given = "Lisa", family = "DeBruine", role = c("aut", "cre"), email = "debruine@gmail.com", comment = c(ORCID = "0000-0002-7523-5539") ), person( given = "Anna", family = "Krystalli", role = c("ctb"), email = "annakrystalli@googlemail.com", comment = c(ORCID = "0000-0002-2378-4915") ), person( given = "Andrew", family = "Heiss", role = c("ctb"), email = "andrew@andrewheiss.com", comment = c(ORCID = "0000-0002-3948-3914") ))
Description: Create datasets with factorial structure through simulation by specifying variable parameters. Extended documentation at <https://debruine.github.io/faux/>. Described in DeBruine (2020) <doi:10.5281/zenodo.2669586>.
Depends: R (>= 3.2.4)
Imports: lme4, dplyr, ggplot2 (>= 3.3.0), jsonlite, truncnorm
License: MIT + file LICENSE
Suggests: testthat (>= 2.1.0), tidyr, knitr, rmarkdown, roxygen2, covr, cowplot, ggExtra, purrr, broom, broom.mixed, psych
VignetteBuilder: knitr
RoxygenNote: 7.1.1
Encoding: UTF-8
LazyData: true
URL: https://github.com/debruine/faux
BugReports: https://github.com/debruine/faux/issues
NeedsCompilation: no
Packaged: 2020-09-21 13:33:30 UTC; lisad
Author: Lisa DeBruine [aut, cre] (<https://orcid.org/0000-0002-7523-5539>), Anna Krystalli [ctb] (<https://orcid.org/0000-0002-2378-4915>), Andrew Heiss [ctb] (<https://orcid.org/0000-0002-3948-3914>)
Maintainer: Lisa DeBruine <debruine@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-22 06:30:13 UTC

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Mon, 21 Sep 2020

New package tidystats with initial version 0.5
Package: tidystats
Type: Package
Title: Save Output of Statistical Tests
Version: 0.5
Author: Willem Sleegers
Maintainer: Willem Sleegers <w.sleegers@me.com>
Description: Save the output of statistical tests in an organized file that can be shared with others or used to report statistics in scientific papers.
URL: https://willemsleegers.github.io/tidystats/
BugReports: https://github.com/WillemSleegers/tidystats/issues
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.1.1
LazyData: true
Depends: R (>= 3.2.0)
Imports: dplyr, tidyr, purrr, stringr, readr, jsonlite, tibble
Suggests: knitr, rmarkdown, testthat, BayesFactor, lme4, lmerTest
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-21 10:07:04 UTC; willem
Repository: CRAN
Date/Publication: 2020-09-21 16:50:02 UTC

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New package diseq with initial version 0.0.13
Package: diseq
Title: Estimation Methods for Markets in Disequilibrium
Version: 0.0.13
Date: 2020-09-14
Authors@R: person( "Pantelis", "Karapanagiotis", email = "pikappa.devel@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9871-1908"))
Description: Provides estimation methods for markets in equilibrium and disequilibrium. Specifically, it supports the estimation of an equilibrium and four disequilibrium models with both correlated and independent shocks. It also provides post-estimation analysis tools, such as aggregation and marginal effects calculations. The estimation methods are based on full information maximum likelihood techniques given in Maddala and Nelson (1974) <doi:10.2307/1914215>. They are implemented using the analytic derivative expressions calculated in Karapanagiotis (2020) <doi:10.2139/ssrn.3525622>. The equilibrium estimation constitutes a special case of a system of simultaneous equations. The disequilibrium models, instead, replace the market clearing condition with a short side rule and allow for different specifications of price dynamics.
Language: en-US
URL: https://github.com/pi-kappa-devel/diseq/
BugReports: https://github.com/pi-kappa-devel/diseq/issues
Depends: R (>= 3.5.0)
Imports: bbmle (>= 1.0.20), dplyr (>= 0.7.6), magrittr (>= 1.5), MASS (>= 7.3-50), methods, rlang (>= 0.2.1), systemfit (>= 1.1), tibble (>= 1.4.2), tidyr (>= 1.0.2)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: ggplot2 (>= 3.0.0), knitr (>= 1.20), numDeriv (>= 2016.8.1.1), rmarkdown (>= 1.10), testthat (>= 2.0.0)
VignetteBuilder: knitr
Collate: 'equation_base.R' 'system_base.R' 'equation_basic.R' 'system_basic.R' 'derivatives_basic.R' 'equation_deterministic_adjustment.R' 'system_deterministic_adjustment.R' 'derivatives_deterministic_adjustment.R' 'equation_directional.R' 'system_directional.R' 'derivatives_directional.R' 'system_fiml.R' 'derivatives_fiml.R' 'equation_stochastic_adjustment.R' 'system_stochastic_adjustment.R' 'derivatives_stochastic_adjustment.R' 'diseq.R' 'model_logger.R' 'model_base.R' 'diseq_base.R' 'diseq_basic.R' 'diseq_deterministic_adjustment.R' 'diseq_directional.R' 'diseq_stochastic_adjustment.R' 'eq_base.R' 'eq_2sls.R' 'eq_fiml.R' 'model_simulation.R'
NeedsCompilation: no
Packaged: 2020-09-13 22:32:37 UTC; ntelispak
Author: Pantelis Karapanagiotis [aut, cre] (<https://orcid.org/0000-0001-9871-1908>)
Maintainer: Pantelis Karapanagiotis <pikappa.devel@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-21 16:50:11 UTC

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New package colocalization with initial version 1.0.2
Package: colocalization
Type: Package
Title: Normalized Spatial Intensity Correlation
Version: 1.0.2
Author: Jiahui Xu, Xueyan Liu, Lin Li, Cheng Cheng, Hui Zhang
Maintainer: Hui Zhang <hzhang@northwestern.edu>
Depends: R (>= 2.10)
Description: Calculate the colocalization index, NSInC, in two different ways as described in the paper (Liu et al., 2019. Manuscript submitted for publication.) for multiple-species spatial data which contain the precise locations and membership of each spatial point. The two main functions are nsinc.d() and nsinc.z(). They provide the Pearson’s correlation coefficients of signal proportions in different memberships within a concerned proximity of every signal (or every base signal if single direction colocalization is considered) across all (base) signals using two different ways of normalization. The proximity sizes could be an individual value or a range of values, where the default ranges of values are different for the two functions.
License: GPL-3
Encoding: UTF-8
Suggests: testthat, rgl
Imports: utils, stats, ggplot2
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2020-09-13 22:00:43 UTC; lli3188
Repository: CRAN
Date/Publication: 2020-09-21 16:50:16 UTC

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New package retroharmonize with initial version 0.1.13
Package: retroharmonize
Type: Package
Title: Ex Post Survey Data Harmonization
Version: 0.1.13
Authors@R: c(person(given = "Daniel", family = "Antal", role = c("aut", "cre"), email = "daniel.antal@ceemid.eu", comment = c(ORCID = "0000-0001-7513-6760")), person(given = "Marta", family = "Kolczynska", role = c("ctb"), email = "mkolczynska@gmail.com", comment = c(ORCID = "0000-0003-4981-0437")) )
Maintainer: Daniel Antal <daniel.antal@ceemid.eu>
Description: Assist in reproducible retrospective (ex-post) harmonization of data, particularly individual level survey data, by providing tools for organizing metadata, standardizing the coding of variables, and variable names and value labels, including missing values, and documenting the data transformations, with the help of comprehensive s3 classes.
License: GPL-3
Encoding: UTF-8
Language: en-US
URL: https://retroharmonize.dataobservatory.eu/
BugReports: https://github.com/antaldaniel/retroharmonize/issues
LazyData: true
Imports: vctrs, haven, dplyr (>= 1.0.0), magrittr, stats, tibble, labelled, methods, rlang, fs, assertthat, tidyselect, pillar, snakecase, purrr, tidyr, here
RoxygenNote: 7.1.1
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, covr, testthat, png
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-11 21:54:27 UTC; Daniel Antal
Author: Daniel Antal [aut, cre] (<https://orcid.org/0000-0001-7513-6760>), Marta Kolczynska [ctb] (<https://orcid.org/0000-0003-4981-0437>)
Repository: CRAN
Date/Publication: 2020-09-21 09:10:02 UTC

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New package mobr with initial version 2.0.0
Package: mobr
Title: Measurement of Biodiversity
Version: 2.0.0
Authors@R: c(person("Daniel", "McGlinn", email = "danmcglinn@gmail.com", role = c("aut", "cre")), person("Xiao", "Xiao", email = "xiao@weecology.org", role = "aut"), person("Brian", "McGill", email = "brimcgill@gmail.com", role = "aut"), person("Felix", "May", email = "felix.may@idiv.de", role = "aut"), person("Thore", "Engel", email = "thore.engel@idiv.de", role = "aut"), person("Caroline", "Oliver", email = "olivercs@g.cofc.edu", role = "aut"), person("Shane", "Blowes", email = "shane.blowes@idiv.de", role = "aut"), person("Tiffany", "Knight", email = "tiffany.knight@idiv.de", role = 'aut'), person("Oliver", "Purschke", email = "oliverpurschke@web.de", role = 'aut'), person("Nicholas", "Gotelli", email = "Nicholas.Gotelli@uvm.edu", role = "aut"), person("Jon", "Chase", email = "jonathan.chase@idiv.de", role = "aut"))
Date: 2020-08-15
Description: Functions for calculating metrics for the measurement biodiversity and its changes across scales, treatments, and gradients. The methods implemented in this package are described in: Chase, J.M., et al. (2018) <doi:10.1111/ele.13151>, McGlinn, D.J., et al. (2019) <doi:10.1111/2041-210X.13102>, and McGlinn, D.J., et al. (2020) <doi:10.1101/851717>.
Depends: R (>= 3.5.0)
Imports: plotrix, scales, dplyr, purrr, tidyr, pbapply, ggplot2, egg, tibble, vctrs, rlang, geosphere
Suggests: knitr, rmarkdown, testthat
License: MIT + file LICENSE
LazyData: true
RoxygenNote: 7.1.1
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-12 16:55:33 UTC; mcglinndj
Author: Daniel McGlinn [aut, cre], Xiao Xiao [aut], Brian McGill [aut], Felix May [aut], Thore Engel [aut], Caroline Oliver [aut], Shane Blowes [aut], Tiffany Knight [aut], Oliver Purschke [aut], Nicholas Gotelli [aut], Jon Chase [aut]
Maintainer: Daniel McGlinn <danmcglinn@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-21 09:30:03 UTC

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New package wayback with initial version 0.2.4
Package: wayback
Type: Package
Title: Rock Solid Package Installation for Legacy R Versions
Version: 0.2.4
Date: 2020-09-11
Authors@R: c( person( given = "Peter", family = "Meissner", email = "retep.meissner@gmail.com", role = c("aut", "cre") ), person( family = "virtual7", email = "info@virtual7.de", role = c("cph") ) )
Maintainer: Peter Meissner <retep.meissner@gmail.com>
Description: Make sure packages are available at runtime without any setup. Package installation, reproducibility and exchanging code can be frustrating especially if code is used on older R versions. Often it is hard to puzzle out which package versions are able to work together after some years have passed and packages evolved further and further. The 'wayback' package aims to make this process as painless and robust as possible by using 'MRAN's 'CRAN' snapshots to build local package libraries from way back.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: checkpoint
NeedsCompilation: no
Packaged: 2020-09-11 20:02:05 UTC; peter
Author: Peter Meissner [aut, cre], virtual7 [cph]
Repository: CRAN
Date/Publication: 2020-09-21 09:00:02 UTC

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New package splmm with initial version 1.0
Package: splmm
Type: Package
Title: Simultaneous Penalized Linear Mixed Effects Models
Version: 1.0
Date: 2020-08-12
Author: Luoying Yang, Tong Tong Wu
Maintainer: Luoying Yang <lyang19@u.rochester.edu>
Description: Contains functions that fit linear mixed-effects models for high-dimensional data (p>>n) with penalty for both the fixed effects and random effects for variable selection. The details of the algorithm can be found in Luoying Yang PhD thesis (available soon). The algorithm implementation is based on the R package 'lmmlasso'.
License: GPL-3
Imports: Rcpp (>= 1.0.1), emulator, miscTools, penalized, ggplot2, gridExtra, plot3D, MASS
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2020-09-11 15:10:22 UTC; lyang19
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2020-09-21 08:40:03 UTC

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New package SlidingWindows with initial version 0.1.4
Package: SlidingWindows
Type: Package
Title: Methods for Time Series Analysis
Description: A collection of functions to perform Detrended Fluctuation Analysis (DFA exponent), GUEDES et al. (2019) <doi:10.1016/j.physa.2019.04.132> , Detrended cross-correlation coefficient (RHODCCA), GUEDES & ZEBENDE (2019) <doi:10.1016/j.physa.2019.121286>, and Detrended Multiple cross-correlation coefficient (DMC), ZEBENDE & SILVA-FILHO (2018) <doi:10.1016/j.physa.2018.06.119>, both with sliding windows approach.
Version: 0.1.4
Date: 2020-09-11
Authors@R: c(person("Everaldo Freitas","Guedes", email = "efgestatistico@gmail.com", role = c("aut","cre"), comment = c(ORCID="0000-0002-2986-7367")), person("Ivan Costa da Cunha","Lima", email = "ivandacunhalima@gmail.com", role = c("aut"), comment = c(ORCID="0000-0002-4525-2346")), person("Gilney Figueira","Zebende", email = "gfzebende@hotmail", role = c("aut"), comment = c(ORCID="0000-0003-2420-9805")), person("Aloísio Machado","Silva-Filho", email = "aloisioestatistico@uefs.br", role = c("aut"), comment = c(ORCID="0000-0001-8250-1527")))
Maintainer: Everaldo Freitas Guedes <efgestatistico@gmail.com>
License: GPL-3
URL: https://github.com/efguedes/SlidingWindows
BugReports: https://github.com/efguedes/SlidingWindows
NeedsCompilation: no
Encoding: UTF-8
LazyData: true
Imports: stats, DCCA, PerformanceAnalytics, nonlinearTseries
Suggests: xts, zoo, quantmod
RoxygenNote: 7.1.1
Packaged: 2020-09-11 14:46:25 UTC; Everaldo Guedes
Author: Everaldo Freitas Guedes [aut, cre] (<https://orcid.org/0000-0002-2986-7367>), Ivan Costa da Cunha Lima [aut] (<https://orcid.org/0000-0002-4525-2346>), Gilney Figueira Zebende [aut] (<https://orcid.org/0000-0003-2420-9805>), Aloísio Machado Silva-Filho [aut] (<https://orcid.org/0000-0001-8250-1527>)
Repository: CRAN
Date/Publication: 2020-09-21 08:30:03 UTC

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New package ScriptMapR with initial version 0.0.2
Package: ScriptMapR
Type: Package
Title: R Script Visualization in Cytoscape
Version: 0.0.2
Author: Raphael Bonnet [aut, cre], Marion Guernoté [ctb], Terry Gouin [ctb], Maxime Laurens [ctb], Thibault Meekel [ctb], Jean-François Peyron[aut,ths]
Maintainer: Raphaël Bonnet <raphael.bonnet@univ-cotedazur.fr>
Description: Displays the content of a R script into the 'Cytoscape' network-visualization app <https://cytoscape.org/>.
BugReports: https://github.com/peyronlab/ScriptMapR/issues
Imports: RCy3, formatR, dplyr, stringr, utils, grDevices
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-11 15:54:30 UTC; raphael
Repository: CRAN
Date/Publication: 2020-09-21 08:50:02 UTC

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New package Neighboot with initial version 1.0.0
Package: Neighboot
Title: Neighborhood Bootstrap Method for RDS
Version: 1.0.0
Date: 2020-09-09
Author: Mamadou Yauck [aut, cre], Erica E. M. Moodie [aut]
Maintainer: Mamadou Yauck <mamadou.yauck@mcgill.ca>
Description: A bootstrap method for Respondent-Driven Sampling (RDS) that relies on the underlying structure of the RDS network to estimate uncertainty.
License: GPL-3
LazyData: true
RoxygenNote: 7.1.1
Imports: magrittr, RDStreeboot, igraph, RDS, dplyr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-09-11 14:41:36 UTC; Utilisateur
Repository: CRAN
Date/Publication: 2020-09-21 08:30:07 UTC

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New package lightgbm with initial version 3.0.0
Package: lightgbm
Type: Package
Title: Light Gradient Boosting Machine
Version: 3.0.0
Date: 2020-09-11
Authors@R: c( person("Guolin", "Ke", email = "guolin.ke@microsoft.com", role = c("aut", "cre")), person("Damien", "Soukhavong", email = "damien.soukhavong@skema.edu", role = c("aut")), person("Yachen", "Yan", role = c("ctb")), person("James", "Lamb", email="jaylamb20@gmail.com", role = c("aut")), person("Qi", "Meng", role = c("aut")), person("Thomas", "Finley", role = c("aut")), person("Taifeng", "Wang", role = c("aut")), person("Wei", "Chen", role = c("aut")), person("Weidong", "Ma", role = c("aut")), person("Qiwei", "Ye", role = c("aut")), person("Tie-Yan", "Liu", role = c("aut")), person("Microsoft Corporation", role = c("cph")), person("Dropbox, Inc.", role = c("cph")) )
Description: Tree based algorithms can be improved by introducing boosting frameworks. 'LightGBM' is one such framework, based on Ke, Guolin et al. (2017) <https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision>. This package offers an R interface to work with it. It is designed to be distributed and efficient with the following advantages: 1. Faster training speed and higher efficiency. 2. Lower memory usage. 3. Better accuracy. 4. Parallel learning supported. 5. Capable of handling large-scale data. In recognition of these advantages, 'LightGBM' has been widely-used in many winning solutions of machine learning competitions. Comparison experiments on public datasets suggest that 'LightGBM' can outperform existing boosting frameworks on both efficiency and accuracy, with significantly lower memory consumption. In addition, parallel experiments suggest that in certain circumstances, 'LightGBM' can achieve a linear speed-up in training time by using multiple machines.
Encoding: UTF-8
License: MIT + file LICENSE
URL: https://github.com/Microsoft/LightGBM
BugReports: https://github.com/Microsoft/LightGBM/issues
NeedsCompilation: yes
Biarch: true
Suggests: testthat
Depends: R (>= 3.5), R6 (>= 2.0)
Imports: data.table (>= 1.9.6), graphics, jsonlite (>= 1.0), Matrix (>= 1.1-0), methods, utils
SystemRequirements: C++11
RoxygenNote: 7.1.1
Packaged: 2020-09-11 15:05:31 UTC; jlamb
Author: Guolin Ke [aut, cre], Damien Soukhavong [aut], Yachen Yan [ctb], James Lamb [aut], Qi Meng [aut], Thomas Finley [aut], Taifeng Wang [aut], Wei Chen [aut], Weidong Ma [aut], Qiwei Ye [aut], Tie-Yan Liu [aut], Microsoft Corporation [cph], Dropbox, Inc. [cph]
Maintainer: Guolin Ke <guolin.ke@microsoft.com>
Repository: CRAN
Date/Publication: 2020-09-21 08:40:06 UTC

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New package GHap with initial version 2.0.0
Package: GHap
Type: Package
Title: Genome-Wide Haplotyping
Version: 2.0.0
Date: 2020-08-12
Author: Yuri Tani Utsunomiya, Marco Milanesi, Mario Barbato
Maintainer: Yuri Tani Utsunomiya <ytutsunomiya@gmail.com>
Description: Haplotype calling from phased marker data. Given user-defined haplotype blocks (HapBlock), the package identifies the different haplotype alleles (HapAllele) present in the data and scores sample haplotype allele genotypes (HapGenotype) based on HapAllele dose (i.e. 0, 1 or 2 copies). The output is not only useful for analyses that can handle multi-allelic markers, but is also conveniently formatted for existing pipelines intended for bi-allelic markers. The package was first described in Bioinformatics by Utsunomiya et al. (2016, <doi:10.1093/bioinformatics/btw356>). Since the v2 release, the package provides functions for unsupervised and supervised detection of ancestry tracks. The methods implemented in these functions were described in an article published in Methods in Ecology and Evolution by Utsunomiya et al. (2020, <doi:10.1111/2041-210X.13467>).
License: GPL (>= 2)
Imports: parallel (>= 3.4.4), Matrix (>= 1.2-16), methods (>= 3.4.4), lme4 (>= 1.1-21), e1071 (>= 1.7-0.1), class (>= 7.3-15), data.table (>= 1.12.6)
VignetteBuilder: R.rsp
Suggests: R.rsp
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-09-11 18:05:25 UTC; yuri
Repository: CRAN
Date/Publication: 2020-09-21 08:50:08 UTC

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Sun, 20 Sep 2020

New package plfMA with initial version 1.0.5
Package: plfMA
Type: Package
Title: A GUI to View, Design and Export Various Graphs of Data
Version: 1.0.5
Date: 2020-09-19
Author: Dhammapal Bharne, Vaibhav Vindal
Maintainer: Dhammapal Bharne <dhammapalb@uohyd.ac.in>
Imports: limma, tcltk, RGtk2, gWidgets2, gWidgets2RGtk2, cairoDevice, grDevices, graphics, stats
Description: Provides a graphical user interface for viewing and designing various types of graphs of the data. The graphs can be saved in different formats of an image.
Depends: R (>= 3.1.1)
License: GPL-2
LazyLoad: yes
NeedsCompilation: no
Packaged: 2020-09-20 03:58:45 UTC; dhamma
Repository: CRAN
Date/Publication: 2020-09-20 22:20:03 UTC

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New package cmdfun with initial version 1.0.1
Package: cmdfun
Type: Package
Title: Framework for Building Interfaces to Shell Commands
Version: 1.0.1
Authors@R: person("Spencer", "Nystrom", email = "nystromdev@gmail.com", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0003-1000-1579"))
Description: Writing interfaces to command line software is cumbersome. 'cmdfun' provides a framework for building function calls to seamlessly interface with shell commands by allowing lazy evaluation of command line arguments. 'cmdfun' also provides methods for handling user-specific paths to tool installs or secrets like API keys. Its focus is to equally serve package builders who wish to wrap command line software, and to help analysts stay inside R when they might usually leave to execute non-R software.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: magrittr, purrr, R.utils, rlang, testthat, usethis, utils
RoxygenNote: 7.0.2
Suggests: cli, covr, knitr, processx, rmarkdown
VignetteBuilder: knitr
URL: https://snystrom.github.io/cmdfun/, https://github.com/snystrom/cmdfun
BugReports: https://github.com/snystrom/cmdfun
NeedsCompilation: no
Packaged: 2020-08-27 02:37:42 UTC; snystrom
Author: Spencer Nystrom [aut, cre, cph] (<https://orcid.org/0000-0003-1000-1579>)
Maintainer: Spencer Nystrom <nystromdev@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-20 16:10:09 UTC

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New package mmabig with initial version 3.0-0
Package: mmabig
Type: Package
Title: Multiple Mediation Analysis for Big Data Sets
Version: 3.0-0
Date: 2020-09-19
Author: Qingzhao Yu and Bin Li
Maintainer: Qingzhao Yu <qyu@lsuhsc.edu>
Depends: R (>= 2.14.1), glmnet, mma, splines, survival, car
Imports: gplots
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
Description: Used for general multiple mediation analysis with big data sets.
License: GPL (>= 2)
URL: https://www.r-project.org, https://publichealth.lsuhsc.edu/Faculty_pages/qyu/index.html
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-09-19 17:29:02 UTC; qyu
Repository: CRAN
Date/Publication: 2020-09-20 15:50:03 UTC

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New package CSUV with initial version 0.1.1
Package: CSUV
Type: Package
Title: Combined Selection and Uncertainty Visualiser (CSUV)
Version: 0.1.1
Author: Christine Yuen
Maintainer: Christine Yuen <yuenl@lse.ac.uk>
BugReports: https://github.com/christineyuen/CSUV/issues
Imports: doParallel, relaxo, caret, futile.logger, glmnet, ncvreg, shiny, shinyjs, DT, stats, MASS, datasets, grDevices, utils, graphics, HDCI, reshape2, ggplot2
Description: Implementation of CSUV from C. Yuen and P. Fryzlewicz (2020) <arXiv:2003.02791> "Exploiting disagreement between high-dimensional variable selectors for uncertainty visualization". CSUV aims to perform variable selection and illustrate variable selection uncertainties by combining variable selection results from various methods.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-18 16:46:43 UTC; loktingyuen
Repository: CRAN
Date/Publication: 2020-09-20 15:50:11 UTC

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New package nspmix with initial version 1.5-0
Package: nspmix
Title: Nonparametric and Semiparametric Mixture Estimation
Version: 1.5-0
Date: 2020-09-19
Author: Yong Wang
Maintainer: Yong Wang <yongwang@auckland.ac.nz>
Depends: lsei
Imports: graphics,methods,stats
Description: Mainly for maximum likelihood estimation of nonparametric and semiparametric mixture models, but can also be used for fitting finite mixtures. The algorithms are developed in Wang (2007) <doi:10.1111/j.1467-9868.2007.00583.x> and Wang (2010) <doi:10.1007/s11222-009-9117-z>.
Encoding: UTF-8
License: GPL (>= 2)
URL: https://www.stat.auckland.ac.nz/~yongwang/
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-19 01:54:01 UTC; yong
Repository: CRAN
Date/Publication: 2020-09-20 14:40:07 UTC

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New package npsurv with initial version 0.5-0
Package: npsurv
Title: Nonparametric Survival Analysis
Version: 0.5-0
Date: 2020-09-19
Author: Yong Wang
Maintainer: Yong Wang <yongwang@auckland.ac.nz>
Depends: lsei
Imports: methods
Description: Non-parametric survival analysis of exact and interval-censored observations. The methods implemented are developed by Wang (2007) <doi:10.1111/j.1467-9868.2007.00583.x>, Wang (2008) <doi:10.1016/j.csda.2007.10.018>, Wang and Taylor (2013) <doi:10.1007/s11222-012-9341-9> and Wang and Fani (2018) <doi:10.1007/s11222-017-9724-z>.
Encoding: UTF-8
License: GPL (>= 2)
URL: https://www.stat.auckland.ac.nz/~yongwang/
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-19 02:02:58 UTC; yong
Repository: CRAN
Date/Publication: 2020-09-20 14:40:11 UTC

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Fri, 18 Sep 2020

New package eiCompare with initial version 3.0.0
Package: eiCompare
Type: Package
Title: Compares Ecological Inference, Goodman, Rows by Columns Estimates
Version: 3.0.0
Authors@R: c(person(given = "Loren", family = "Collingwood", role = c("aut", "cre"), email = "loren.collingwood@gmail.com", comment = c(ORCID = "0000-0002-4447-8204")), person(given = "Ari", family = "Decter-Frain", role = "aut", comment = c(ORCID = "0000-0001-9635-3334")), person(given = "Hikari", family = "Murayama", role = "aut", comment = c(ORCID = "0000-0002-4067-4734")), person(given = "Pratik", family = "Sachdeva", role = "aut", comment = c(ORCID = "0000-0002-6809-2437")), person(given = "Juandalyn", family = "Burke", role = "aut", comment = c(ORCID = "0000-0002-6345-7505")), person(given = "Scott", family = "Henderson", role = "ctb", comment = c(ORCID = "0000-0003-0624-4965")), person(given = "Spencer", family = "Wood", role = "ctb", comment = c(ORCID = "0000-0002-5794-2619")), person(given = "Matt", family = "Barreto", role = "ctb", comment = c(ORCID = "0000-0003-2423-6395")))
URL: https://github.com/RPVote/eiCompare
Description: Compares estimates from three ecological inference routines, based on King (1997) <ISBN: 0691012407>, <https://gking.harvard.edu/eicamera/kinroot.html>; King (2004) <ISBN: 0521542804>, <https://gking.harvard.edu/files/abs/ecinf04-abs.shtml>.
License: GPL-3
Depends: R (>= 3.5.0), eiPack, ei, wru
Imports: censusxy, bayestestR, coda, data.table, doParallel, dplyr, foreach, ggplot2, graphics, magrittr, mcmcse, methods, overlapping, purrr, rlang, sf, stringr, tidyr, leaflet, tidyselect
NeedsCompilation: no
Suggests: knitr, opencage, plyr, rmarkdown, reshape2, RColorBrewer, RJSONIO, testthat, tigris
RoxygenNote: 7.1.1
Encoding: UTF-8
VignetteBuilder: knitr
Packaged: 2020-09-15 03:53:06 UTC; lorencollingwood
Author: Loren Collingwood [aut, cre] (<https://orcid.org/0000-0002-4447-8204>), Ari Decter-Frain [aut] (<https://orcid.org/0000-0001-9635-3334>), Hikari Murayama [aut] (<https://orcid.org/0000-0002-4067-4734>), Pratik Sachdeva [aut] (<https://orcid.org/0000-0002-6809-2437>), Juandalyn Burke [aut] (<https://orcid.org/0000-0002-6345-7505>), Scott Henderson [ctb] (<https://orcid.org/0000-0003-0624-4965>), Spencer Wood [ctb] (<https://orcid.org/0000-0002-5794-2619>), Matt Barreto [ctb] (<https://orcid.org/0000-0003-2423-6395>)
Maintainer: Loren Collingwood <loren.collingwood@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-18 15:00:02 UTC

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New package DramaAnalysis with initial version 3.0.2
Package: DramaAnalysis
Type: Package
Title: Analysis of Dramatic Texts
Version: 3.0.2
Date: 2020-09-07
Language: en-US
Authors@R: c( person("Nils", "Reiter", email="nils.reiter@ims.uni-stuttgart.de", role=c("aut", "cre"), comment=(ORCID="0000-0003-3193-6170")), person("Tim", "Strohmayer", email="st151528@stud.uni-stuttgart.de", role=c("ctb")), person("Janis", "Pagel", email="janis.pagel@ims.uni-stuttgart.de", role=c("ctb")))
Description: Analysis of preprocessed dramatic texts, with respect to literary research. The package provides functions to analyze and visualize information about characters, stage directions, the dramatic structure and the text itself. The dramatic texts are expected to be in CSV format, which can be installed from within the package, sample texts are provided. The package and the reasoning behind it are described in Reiter et al. (2017) <doi:10.18420/in2017_119>.
URL: https://github.com/quadrama/DramaAnalysis
BugReports: https://github.com/quadrama/DramaAnalysis/issues
License: GPL (>= 3)
LazyData: TRUE
Imports: stats, utils, reshape2 (>= 1.4.2), readr (>= 1.1.1), data.table (>= 1.10.4), httr (>= 1.2.1), git2r (>= 0.24.0), xml2 (>= 1.2.0), tokenizers (>= 0.2.1), stringr (>= 1.4.0)
Depends: R (>= 3.3.0)
RoxygenNote: 7.1.1
Suggests: testthat, fmsb, knitr, magrittr, highcharter, rmarkdown (>= 1.8), igraph (>= 1.1.2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-09-07 14:37:44 UTC; reiterns
Author: Nils Reiter [aut, cre] (0000-0003-3193-6170), Tim Strohmayer [ctb], Janis Pagel [ctb]
Maintainer: Nils Reiter <nils.reiter@ims.uni-stuttgart.de>
Repository: CRAN
Date/Publication: 2020-09-18 15:00:07 UTC

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New package pfica with initial version 0.1.0
Package: pfica
Version: 0.1.0
Title: Penalized Independent Component Analysis for Univariate Functional Data
Author: Marc Vidal Badia, Ana Mª Aguilera del Pino
Maintainer: Marc Vidal Badia <marc.vidalbadia@ugent.be>
Description: Performs penalized independent component analysis for univariate functional data. Two alternative models are implemented, both based on the fourth order blind identification method.
License: GPL (>= 2)
Depends: R (>= 2.10), fda
Imports: moments
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Repository: CRAN
RoxygenNote: 7.1.1
Packaged: 2020-09-11 12:07:04 UTC; MVB
Date/Publication: 2020-09-18 12:20:02 UTC

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New package gamma with initial version 1.0.0
Package: gamma
Title: Dose Rate Estimation from in-Situ Gamma-Ray Spectrometry Measurements
Version: 1.0.0
Authors@R: c(person(given = "Nicolas", family = "Frerebeau", role = c("aut"), email = "nicolas.frerebeau@u-bordeaux-montaigne.fr", comment = c(ORCID = "0000-0001-5759-4944")), person(given = "Brice", family = "Lebrun", role = c("aut", "cre"), email = "brice.lebrun@u-bordeaux-montaigne.fr", comment = c(ORCID = "0000-0001-7503-8685")), person(given = "Guilhem", family = "Paradol", role = "aut", email = "guilhem.paradol@phelma.grenoble-inp.fr"), person(given = "Magali", family = "Rizza", role = "ctb", email = "rizza@cerege.fr", comment = c(ORCID = "0000-0003-2364-5621")), person(given = "Christelle", family = "Lahaye", role = "ctb", email = "christelle.lahaye@u-bordeaux-montaigne.fr", comment = c(ORCID = "0000-0003-2215-9015")), person(given = "Université Bordeaux Montaigne", role = c("cph", "fnd")), person(given = "CNRS", role = "fnd"), person(given = "LabEx Sciences archéologiques de Bordeaux", role = "fnd"), person(given = "Idex Aix-Marseille", role = "fnd"))
Maintainer: Brice Lebrun <brice.lebrun@u-bordeaux-montaigne.fr>
Description: Process in-situ Gamma-Ray Spectrometry for Luminescence Dating. This package allows to import, inspect and correct the energy shifts of Gamma-ray spectra. It provides methods for estimating the gamma dose rate by the use of a calibration curve. The package only supports Canberra CNF and TKA files.
License: GPL-3
URL: https://crp2a.github.io/gamma/, https://github.com/crp2a/gamma
BugReports: https://github.com/crp2a/gamma/issues
Depends: R (>= 3.5)
Imports: ggplot2, graphics, IsoplotR, methods, rlang, rxylib, stats, tools, utils
Suggests: covr, knitr, magrittr, rmarkdown, testthat, vdiffr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: false
RoxygenNote: 7.1.1
Collate: 'AllClasses.R' 'AllGenerics.R' 'baseline.R' 'baseline_rubberband.R' 'baseline_snip.R' 'coerce.R' 'data.R' 'dose_fit.R' 'dose_predict.R' 'energy_calibrate.R' 'gamma-package.R' 'initialize.R' 'mutators.R' 'operators.R' 'peaks_find.R' 'plot.R' 'read.R' 'show.R' 'signal_integrate.R' 'signal_slice.R' 'signal_stabilize.R' 'smooth.R' 'smooth_rectangular.R' 'smooth_savitzky.R' 'smooth_triangular.R' 'subset.R' 'summarize.R' 'utilities.R' 'validate.R'
NeedsCompilation: no
Packaged: 2020-09-11 11:46:11 UTC; lebrun
Author: Nicolas Frerebeau [aut] (<https://orcid.org/0000-0001-5759-4944>), Brice Lebrun [aut, cre] (<https://orcid.org/0000-0001-7503-8685>), Guilhem Paradol [aut], Magali Rizza [ctb] (<https://orcid.org/0000-0003-2364-5621>), Christelle Lahaye [ctb] (<https://orcid.org/0000-0003-2215-9015>), Université Bordeaux Montaigne [cph, fnd], CNRS [fnd], LabEx Sciences archéologiques de Bordeaux [fnd], Idex Aix-Marseille [fnd]
Repository: CRAN
Date/Publication: 2020-09-18 12:10:02 UTC

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New package cepiigeodist with initial version 0.1
Package: cepiigeodist
Title: CEPII's GeoDist Datasets
Version: 0.1
Authors@R: c( person("Mauricio", "Vargas", role = c("aut","cre"), email = "mvargas@dcc.uchile.cl", comment = c(ORCID = "0000-0003-1017-7574")), person(family = "Centre d'études prospectives et d'informations internationales (CEPII)", role = "dtc") )
Description: Provides data on countries and their main city or agglomeration and the different distance measures and dummy variables indicating whether two countries are contiguous, share a common language or a colonial relationship. The reference article for these datasets is Mayer and Zignago (2011) <http://www.cepii.fr/CEPII/en/publications/wp/abstract.asp?NoDoc=3877>.
License: CC0
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
URL: https://pacha.dev/cepiigeodist/
BugReports: https://github.com/pachamaltese/cepiigeodist/issues/
Suggests: gravity
NeedsCompilation: no
Packaged: 2020-09-11 14:34:18 UTC; pacha
Author: Mauricio Vargas [aut, cre] (<https://orcid.org/0000-0003-1017-7574>), Centre d'études prospectives et d'informations internationales (CEPII) [dtc]
Maintainer: Mauricio Vargas <mvargas@dcc.uchile.cl>
Repository: CRAN
Date/Publication: 2020-09-18 12:20:07 UTC

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New package r5r with initial version 0.1.0
Type: Package
Package: r5r
Title: Rapid Realistic Routing with 'R5'
Version: 0.1.0
Authors@R: c( person(given="Marcus", family="Saraiva", email="marcus.saraiva@gmail.com", role="aut", comment = c(ORCID = "0000-0001-6218-2338")), person(given="Rafael H. M.", family="Pereira", email="rafa.pereira.br@gmail.com", role=c("aut", "cre"), comment = c(ORCID = "0000-0003-2125-7465")), person(given="Daniel", family="Herszenhut", email="dhersz@gmail.com", role="aut", comment = c(ORCID = "0000-0001-8066-1105")), person(given="Carlos Kaue Vieira", family="Braga", email="kaue@kauebraga.dev", role="aut", comment = c(ORCID = "0000-0002-6104-7297")), person("Ipea - Institue for Applied Economic Research", role = c("cph", "fnd")) )
Description: Rapid realistic routing on multimodal transport networks (walk, bike, public transport and car) using 'R5', the Rapid Realistic Routing on Real-world and Reimagined networks <https://github.com/conveyal/r5>. The package allows users to generate detailed routing analysis or calculate travel time matrices using seamless parallel computing on top of the R5 Java machine.
Date: 2020-09-03
URL: https://github.com/ipeaGIT/r5r
BugReports: https://github.com/ipeaGIT/r5r/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 4.0)
Suggests: covr, ggplot2 (>= 3.3.1), knitr, mapview, rmarkdown, testthat
Imports: checkmate, data.table, methods, jdx (>= 0.1.4), rJava (>= 0.9-13), sf (>= 0.9-3), sfheaders, utils
SystemRequirements: Java JDK (>= 11.0.8)
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-11 01:47:17 UTC; user
Author: Marcus Saraiva [aut] (<https://orcid.org/0000-0001-6218-2338>), Rafael H. M. Pereira [aut, cre] (<https://orcid.org/0000-0003-2125-7465>), Daniel Herszenhut [aut] (<https://orcid.org/0000-0001-8066-1105>), Carlos Kaue Vieira Braga [aut] (<https://orcid.org/0000-0002-6104-7297>), Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-18 11:50:03 UTC

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New package ech with initial version 0.1.0
Package: ech
Title: Toolbox for ECH with R
Version: 0.1.0
Authors@R: c(person("Gabriela", "Mathieu", email = "calcita@gmx.li", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-3965-9024")), person("Richard", "Detomasi", email = "richard.detomasi@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-6725-0261")), person("Tati", "Micheletti", email = "tati.micheletti@gmail.com", role = c("ctb"), comment = c(ORCID = "0000-0003-4838-8342")), person(family = "Instituto Nacional de Estadistica, Uruguay (INE)", role = "dtc"))
Maintainer: Gabriela Mathieu <calcita@gmx.li>
Description: R toolbox for the processing of the Encuesta Continua de Hogares (ECH) from Uruguay at <http://www.ine.gub.uy/encuesta-continua-de-hogares1> conducted by the Instituto Nacional de Estadistica (INE).
License: GPL-3
Encoding: UTF-8
ByteCompile: true
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 3.5.0)
Imports: assertthat, fs, glue, dplyr (>= 1.0.0), haven (>= 2.3.0), janitor, magrittr, srvyr (>= 0.4.0), statar, survey (>= 1.2.0), stringr, readxl, laeken, rlang, pdftables, tidyr, textclean, rstudioapi, geouy, purrr, labelled, tidyselect, ggplot2, ggthemes, ggspatial, methods, sf, viridis
Suggests: knitr, testthat (>= 2.1.0), rmarkdown, covr
SystemRequirements: 'unrar' (Linux/macOS) or '7-Zip' (Windows) to work with '.rar' files, GDAL (>= 3.0.2), GEOS (>= 3.8.0), PROJ (>= 6.2.1)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-11 02:16:24 UTC; Usuario
Author: Gabriela Mathieu [aut, cre] (<https://orcid.org/0000-0003-3965-9024>), Richard Detomasi [aut] (<https://orcid.org/0000-0002-6725-0261>), Tati Micheletti [ctb] (<https://orcid.org/0000-0003-4838-8342>), Instituto Nacional de Estadistica, Uruguay (INE) [dtc]
Repository: CRAN
Date/Publication: 2020-09-18 11:50:08 UTC

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New package CovidMutations with initial version 0.1.3
Package: CovidMutations
Type: Package
Title: Mutation Analysis Toolkit for COVID-19 (Coronavirus Disease 2019)
Version: 0.1.3
Date: 2020-08-29
Authors@R: c( person( "Shaoqian", "Ma", email = "shaoqianma@qq.com", role = c("aut", "cre"), comment = c(ORCID = '0000-0001-8950-0711') ), person( "Yongyou", "Zhang", email = "yongyouzhang@xmu.edu.cn", role = c("aut"), comment = c(ORCID = '0000-0003-2413-9106') ) )
Description: A feasible framework for mutation analysis and reverse transcription polymerase chain reaction (RT-PCR) assay evaluation of COVID-19, including mutation profile visualization, statistics and mutation ratio of each assay. The mutation ratio is conducive to evaluating the coverage of RT-PCR assays in large-sized samples. Mercatelli, D. and Giorgi, F. M. (2020) <doi:10.20944/preprints202004.0529.v1>.
Depends: R (>= 3.6)
License: Artistic-2.0
Encoding: UTF-8
LazyData: true
Imports: ggplot2, cowplot, seqinr, stringr, grDevices, graphics, utils, ggpubr, dplyr, VennDiagram
RoxygenNote: 7.1.1
NeedsCompilation: no
URL: https://github.com/MSQ-123/CovidMutations
BugReports: https://github.com/MSQ-123/CovidMutations/issues
Suggests: testthat
Packaged: 2020-09-11 08:10:05 UTC; lenovo
Author: Shaoqian Ma [aut, cre] (<https://orcid.org/0000-0001-8950-0711>), Yongyou Zhang [aut] (<https://orcid.org/0000-0003-2413-9106>)
Maintainer: Shaoqian Ma <shaoqianma@qq.com>
Repository: CRAN
Date/Publication: 2020-09-18 12:00:39 UTC

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New package covid19swiss with initial version 0.1.0
Package: covid19swiss
Type: Package
Title: COVID-19 Cases in Switzerland and Principality of Liechtenstein
Version: 0.1.0
Authors@R: person("Rami", "Krispin", email = "rami.krispin@gmail.com", role = c("aut", "cre"))
Maintainer: Rami Krispin <rami.krispin@gmail.com>
Description: Provides a daily summary of the Coronavirus (COVID-19) cases in Switzerland cantons and Principality of Liechtenstein. Data source: Specialist Unit for Open Government Data Canton of Zurich <https://www.zh.ch/de/politik-staat/opendata.html>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0.2)
Imports: devtools,
Suggests: dplyr (>= 0.8.5), tidyr (>= 1.0.0), knitr, rmarkdown, testthat
URL: https://github.com/Covid19R/covid19swiss
BugReports: https://github.com/Covid19R/covid19swiss/issues
RoxygenNote: 7.1.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-11 08:49:17 UTC; ramikrispin
Author: Rami Krispin [aut, cre]
Repository: CRAN
Date/Publication: 2020-09-18 12:00:14 UTC

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New package ciccr with initial version 0.1.0
Package: ciccr
Type: Package
Title: Causal Inference in Case-Control Studies
Version: 0.1.0
Authors@R: c( person("Sung Jae", "Jun", email = "suj14@psu.edu", role = "aut"), person("Sokbae", "Lee", email = "sl3841@columbia.edu", role = c("aut", "cre")))
Description: Estimation and inference methods for causal relative risk. Semiparametrically efficient estimation of the aggregated (log) odds ratio and a causal inference procedure for relative risk. For more details, see the paper by Jun and Lee (2020), "Causal Inference in Case-Control Studies," <arXiv:2004.08318 [econ.EM]>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: stats, MASS
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Depends: R (>= 2.10)
URL: https://github.com/sokbae/ciccr/
BugReports: https://github.com/sokbae/ciccr/issues
NeedsCompilation: no
Packaged: 2020-09-11 09:14:05 UTC; sokbaelee
Author: Sung Jae Jun [aut], Sokbae Lee [aut, cre]
Maintainer: Sokbae Lee <sl3841@columbia.edu>
Repository: CRAN
Date/Publication: 2020-09-18 12:00:18 UTC

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New package broom.helpers with initial version 1.0.0
Package: broom.helpers
Title: Helpers for Model Coefficients Tibbles
Version: 1.0.0
Authors@R: c(person(given = "Joseph", family = "Larmarange", role = c("aut", "cre"), email = "joseph@larmarange.net", comment = c(ORCID = "0000-0001-7097-700X")), person(given = "Daniel D.", family = "Sjoberg", role = "aut", email = "danield.sjoberg@gmail.com", comment = c(ORCID = "0000-0003-0862-2018")))
Description: Provides suite of functions to work with regression model 'broom::tidy()' tibbles. The suite includes functions to group regression model terms by variable, insert reference and header rows for categorical variables, add variable labels, and more.
License: GPL-3
URL: https://larmarange.github.io/broom.helpers/
BugReports: https://github.com/larmarange/broom.helpers/issues
Imports: broom, dplyr, labelled, lifecycle, purrr, stats, stringr, tibble, usethis
Suggests: broom.mixed, covr, datasets, forcats, gam, gee, geepack, ggplot2, gtsummary, knitr, lavaan, lme4, MASS, nnet, ordinal, rmarkdown, survey, survival, testthat
VignetteBuilder: knitr
RdMacros: lifecycle
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-11 11:22:18 UTC; josep
Author: Joseph Larmarange [aut, cre] (<https://orcid.org/0000-0001-7097-700X>), Daniel D. Sjoberg [aut] (<https://orcid.org/0000-0003-0862-2018>)
Maintainer: Joseph Larmarange <joseph@larmarange.net>
Repository: CRAN
Date/Publication: 2020-09-18 12:00:24 UTC

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New package tradestatistics with initial version 1.1
Package: tradestatistics
Type: Package
Title: Open Trade Statistics API Wrapper and Utility Program
Version: 1.1
Authors@R: c( person(given = "Mauricio", family = "Vargas", role = c("aut", "cre", "cph"), email = "mvargas@dcc.uchile.cl", comment = c(ORCID = "0000-0003-1017-7574")), person(given = "Joshua", family = "Kunst", role = "ctb", comment = "contributed to different parts of the pre-release code"), person(given = "Natalia", family = "de los Santos", role = "ctb", comment = "proposed improvements to default parameters"), person(given = "Elio", family = "Campitelli", role = "ctb", comment = "wrote client-side caching function"), person(given = "Emily", family = "Riederer", role = "rev", comment = "reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/274"), person(given = "Mark", family = "Padgham", role = "rev", comment = "reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/274"), person(given = "Amanda", family = "Dobbyn", role = "rev", comment = "reviewed an archived package that evolved into the current package for rOpenSci, see https://github.com/ropensci/onboarding/issues/217"), person(given = "Jorge", family = "Cimentada", role = "rev", comment = "reviewed an archived package that evolved into the current package for rOpenSci, see https://github.com/ropensci/onboarding/issues/217"), person(family = "UN Comtrade", role = "dtc"), person(family = "The World Bank", role = "dtc"), person(family = "Center for International Development at Harvard University", role = "dtc"), person(family = "The Observatory of Economic Complexity", role = "dtc") )
URL: https://docs.ropensci.org/tradestatistics/
BugReports: https://github.com/ropensci/tradestatistics/issues
Description: Access 'Open Trade Statistics' API from R to download international trade data.
License: GPL-3
LazyData: TRUE
Imports: crul, jsonlite, memoise, data.table, digest
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, DT, testthat (>= 2.1.0), vcr, covr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-09-12 23:19:04 UTC; pacha
Author: Mauricio Vargas [aut, cre, cph] (<https://orcid.org/0000-0003-1017-7574>), Joshua Kunst [ctb] (contributed to different parts of the pre-release code), Natalia de los Santos [ctb] (proposed improvements to default parameters), Elio Campitelli [ctb] (wrote client-side caching function), Emily Riederer [rev] (reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/274), Mark Padgham [rev] (reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/274), Amanda Dobbyn [rev] (reviewed an archived package that evolved into the current package for rOpenSci, see https://github.com/ropensci/onboarding/issues/217), Jorge Cimentada [rev] (reviewed an archived package that evolved into the current package for rOpenSci, see https://github.com/ropensci/onboarding/issues/217), UN Comtrade [dtc], The World Bank [dtc], Center for International Development at Harvard University [dtc], The Observatory of Economic Complexity [dtc]
Maintainer: Mauricio Vargas <mvargas@dcc.uchile.cl>
Repository: CRAN
Date/Publication: 2020-09-18 09:00:03 UTC

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New package torch with initial version 0.0.3
Package: torch
Type: Package
Title: Tensors and Neural Networks with 'GPU' Acceleration
Version: 0.0.3
Authors@R: c( person("Daniel", "Falbel", email = "daniel@rstudio.com", role = c("aut", "cre", "cph")), person("Javier", "Luraschi", email = "javier@rstudio.com", role = c("aut", "cph")), person("Dmitriy", "Selivanov", role = c("ctb")), person("Athos", "Damiani", role = c("ctb")), person(family = "RStudio", role = c("cph")) )
Description: Provides functionality to define and train neural networks similar to 'PyTorch' by Paszke et al (2019) <arXiv:1912.01703> but written entirely in R using the 'libtorch' library. Also supports low-level tensor operations and 'GPU' acceleration.
License: MIT + file LICENSE
URL: https://torch.mlverse.org/docs, https://github.com/mlverse/torch
BugReports: https://github.com/mlverse/torch/issues
Encoding: UTF-8
LazyData: true
SystemRequirements: C++11, LibTorch (https://pytorch.org/)
LinkingTo: Rcpp
Imports: Rcpp, R6, withr, rlang, methods, utils, stats, bit64, magrittr
RoxygenNote: 7.1.1
Suggests: testthat (>= 2.1.0), covr, knitr, rmarkdown, glue, palmerpenguins
VignetteBuilder: knitr
Collate: 'R7.R' 'RcppExports.R' 'tensor.R' 'autograd.R' 'backends.R' 'codegen-utils.R' 'conditions.R' 'creation-ops.R' 'cuda.R' 'device.R' 'dimname_list.R' 'dtype.R' 'gen-method.R' 'gen-namespace-docs.R' 'gen-namespace-examples.R' 'gen-namespace.R' 'generator.R' 'help.R' 'indexing.R' 'install.R' 'lantern_load.R' 'lantern_sync.R' 'layout.R' 'memory_format.R' 'utils-data.R' 'nn.R' 'nn-activation.R' 'nn-batchnorm.R' 'nn-conv.R' 'nn-dropout.R' 'nn-init.R' 'nn-linear.R' 'nn-loss.R' 'nn-pooling.R' 'nn-rnn.R' 'nn-sparse.R' 'nn-utils-rnn.R' 'nn-utils.R' 'nn_adaptive.R' 'nnf-activation.R' 'nnf-batchnorm.R' 'nnf-conv.R' 'nnf-distance.R' 'nnf-dropout.R' 'nnf-embedding.R' 'nnf-fold.R' 'nnf-instancenorm.R' 'nnf-linear.R' 'nnf-loss.R' 'nnf-normalization.R' 'nnf-padding.R' 'nnf-pixelshuffle.R' 'nnf-pooling.R' 'nnf-upsampling.R' 'nnf-vision.R' 'operators.R' 'optim.R' 'optim-adam.R' 'optim-sgd.R' 'package.R' 'qscheme.R' 'quantization.R' 'reduction.R' 'save.R' 'scalar.R' 'storage.R' 'tensor_list.R' 'tensor_options.R' 'type-info.R' 'utils-data-collate.R' 'utils-data-dataloader.R' 'utils-data-enum.R' 'utils-data-fetcher.R' 'utils-data-sampler.R' 'utils-pipe.R' 'utils.R' 'variable_list.R' 'with-indices.R' 'wrapers.R'
NeedsCompilation: yes
Packaged: 2020-09-17 21:56:47 UTC; dfalbel
Author: Daniel Falbel [aut, cre, cph], Javier Luraschi [aut, cph], Dmitriy Selivanov [ctb], Athos Damiani [ctb], RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>
Repository: CRAN
Date/Publication: 2020-09-18 08:10:03 UTC

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New package rppo with initial version 1.0.1
Package: rppo
Title: Access the Global Plant Phenology Data Portal
URL: https://docs.ropensci.org/rppo/, https://github.com/ropensci/rppo/
BugReports: https://github.com/ropensci/rppo/issues
Version: 1.0.1
Authors@R: c( person("John","Deck", email = "jdeck88@gmail.com", role = c("aut", "cre")), person("Brian","Stucky", email = "stuckyb@flmnh.ufl.edu", role = "aut"), person("Ramona","Walls", email = "rwalls@cyverse.org", role = "aut"), person("Kjell", "Bolmgren", email = "Kjell.Bolmgren@slu.se", role = "aut"), person("Ellen", "Denny", email = "ellen@usanpn.org", role = "aut"), person("Robert","Guralnick", email = "rguralnick@flmnh.ufl.edu", role = "aut") )
Maintainer: John Deck <jdeck88@gmail.com>
Description: An R interface to the Global Plant Phenology Data Portal, which is accessible online at <https://www.plantphenology.org/>.
Depends: R (>= 3.4.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: jsonlite, readr, plyr, httr
Suggests: testthat, rmarkdown, markdown, knitr, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-17 17:14:36 UTC; jdeck
Author: John Deck [aut, cre], Brian Stucky [aut], Ramona Walls [aut], Kjell Bolmgren [aut], Ellen Denny [aut], Robert Guralnick [aut]
Repository: CRAN
Date/Publication: 2020-09-18 08:10:17 UTC

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New package rmdcev with initial version 1.2.2
Package: rmdcev
Type: Package
Title: Kuhn-Tucker and Multiple Discrete-Continuous Extreme Value Models
Version: 1.2.2
Authors@R: c( person(given = "Patrick", family = "Lloyd-Smith", role = c("aut", "cre"), email = "patrick.lloydsmith@usask.ca"), person("Trustees of", "Columbia University", role = "cph"))
Maintainer: Patrick Lloyd-Smith <patrick.lloydsmith@usask.ca>
Description: Estimates and simulates Kuhn-Tucker demand models with individual heterogeneity. The package implements the multiple-discrete continuous extreme value (MDCEV) model and the Kuhn-Tucker specification common in the environmental economics literature on recreation demand. Latent class and random parameters specifications can be implemented and the models are fit using maximum likelihood estimation or Bayesian estimation. All models are implemented in Stan, which is a C++ package for performing full Bayesian inference (see Stan Development Team, 2019) <https://mc-stan.org/>. The package also implements demand forecasting (Pinjari and Bhat (2011) <https://repositories.lib.utexas.edu/handle/2152/23880>) and welfare calculation (Lloyd-Smith (2018) <doi:10.1016/j.jocm.2017.12.002>) for policy simulation.
License: MIT + file LICENSE
Depends: R (>= 3.6.0), Rcpp (>= 1.0.5), methods
Imports: rstan (>= 2.21.0), rstantools (>= 2.1.1), RcppParallel (>= 5.0.1), dplyr (>= 0.7.8), purrr, tibble, tidyr, utils, stats, Formula
LinkingTo: BH (>= 1.72.0), Rcpp, RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.21.0), StanHeaders (>= 2.21.0)
Encoding: UTF-8
LazyData: true
Repository: CRAN
SystemRequirements: GNU make
RoxygenNote: 7.1.1
Biarch: true
Suggests: knitr, rmarkdown, testthat
URL: https://github.com/plloydsmith/rmdcev
BugReports: https://github.com/plloydsmith/rmdcev/issues
Author: Patrick Lloyd-Smith [aut, cre], Trustees of Columbia University [cph]
NeedsCompilation: yes
Packaged: 2020-09-17 16:05:37 UTC; Pat
Date/Publication: 2020-09-18 08:10:21 UTC

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New package icesVocab with initial version 1.1.7
Package: icesVocab
Title: ICES Vocabularies Database Web Services
Date: 2020-09-17
Version: 1.1.7
Authors@R: c(person("Colin", "Millar", email = "colin.millar@ices.dk", role = c("aut","cre")), person("Arni", "Magnusson", role = "aut"))
Imports: utils, XML
Description: R interface to access the RECO POX web services of the ICES (International Council for the Exploration of the Sea) Vocabularies database <https://vocab.ices.dk/services/POX.aspx>.
License: GPL-3
URL: https://vocab.ices.dk/services/POX.aspx
RoxygenNote: 7.1.1
Encoding: UTF-8
BugReports: https://github.com/ices-tools-prod/icesVocab/issues
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-09-17 10:55:27 UTC; colin
Author: Colin Millar [aut, cre], Arni Magnusson [aut]
Maintainer: Colin Millar <colin.millar@ices.dk>
Repository: CRAN
Date/Publication: 2020-09-18 08:50:09 UTC

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New package gitear with initial version 1.0.0
Package: gitear
Title: Client to the 'gitea' API
Version: 1.0.0
Authors@R: c( person(family="ixpantia, SRL", role = "aut", email = "hola@ixpantia.com"), person("Frans", "van Dunné", role=c("cre", "aut"), email="frans@ixpantia.com"), person("Francisco", "Sácida", role="aut", email="francisco@delaguayaba.com"), person("Ronny", "Hernández Mora", role="aut", email="ronny@ixpantia.com"), person("Patrick", "Santamaría Guzmán", role="ctb", email="patrick@ixpantia.com"))
Description: 'Gitea' is a community managed, lightweight code hosting solution were projects and their respective git repositories can be managed <https://gitea.io>. This package gives an interface to the 'Gitea' API to access and manage repositories, issues and organizations directly in R.
Depends: R (>= 3.5.0), magrittr
Imports: httr, jsonlite, dplyr, tidyr, tibble, stringr, mockery, graphics, Rcpp
License: GPL-3
URL: https://ixpantia.github.io/gitear/
BugReports: https://github.com/ixpantia/gitear/issues
Encoding: UTF-8
LazyData: true
Suggests: testthat, knitr, rmarkdown, covr
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-08-26 22:00:34 UTC; frans
Author: ixpantia, SRL [aut], Frans van Dunné [cre, aut], Francisco Sácida [aut], Ronny Hernández Mora [aut], Patrick Santamaría Guzmán [ctb]
Maintainer: Frans van Dunné <frans@ixpantia.com>
Repository: CRAN
Date/Publication: 2020-09-18 08:00:07 UTC

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Thu, 17 Sep 2020

New package weibull4 with initial version 0.1.0
Package: weibull4
Type: Package
Title: Fits Data into 4-Parameters Weibull Distribution
Version: 0.1.0
Author: Vitor Hugo Moreau
Maintainer: Vitor Hugo Moreau <vitorhmc@ufba.br>
Description: Performs a curve fit to 4-parameters Weibull distribution using Metropolis algorithm - Markov chain-Monte Carlo method. Special usage for fitting COVID-19 epidemic data on daily new cases and deaths. Also, builds the 4-parameters Weibull distribution curve using given parameters (shape, scale, location and area).
License: Creative Commons Attribution 4.0 International License
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-10 17:30:22 UTC; vhmoreau
Repository: CRAN
Date/Publication: 2020-09-17 12:50:03 UTC

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New package waves with initial version 0.1.0
Package: waves
Title: Vis-NIR Spectral Analysis Wrapper
Version: 0.1.0
Authors@R: c( person(given = "Jenna", family = "Hershberger", role = c("aut", "cre"), email = "jmh579@cornell.edu", comment = c(ORCID = "0000-0002-3147-6867")), person(given = "Michael", family = "Gore", role = "ths"), person("NSF BREAD IOS-1543958", role = "fnd") )
Description: Originally designed application in the context of resource-limited plant research and breeding programs, 'waves' provides an open-source solution to spectral data processing and model development by bringing useful packages together into a streamlined pipeline. This package is wrapper for functions related to the analysis of point visible and near-infrared reflectance measurements. It includes visualization, filtering, aggregation, preprocessing, cross-validation set formation, model training, and prediction functions to enable open-source association of spectral and reference data. Specialized cross-validation schemes are described in detail in Jarquín et al. (2017) <doi:10.3835/plantgenome2016.12.0130>. Example data is from Ikeogu et al. (2017) <doi:10.1371/journal.pone.0188918>.
URL: https://github.com/GoreLab/waves
Maintainer: Jenna Hershberger <jmh579@cornell.edu>
BugReports: https://github.com/GoreLab/waves/issues
Depends: R (>= 3.5)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, prospectr, spectacles, caret, pls, randomForest, wesanderson, magrittr, tidyselect, ggplot2, tidyr (>= 1.0), stringr, rlang
RoxygenNote: 6.1.1
Suggests: testthat (>= 2.1.0)
NeedsCompilation: no
Packaged: 2020-09-10 14:54:09 UTC; Jenna
Author: Jenna Hershberger [aut, cre] (<https://orcid.org/0000-0002-3147-6867>), Michael Gore [ths], NSF BREAD IOS-1543958 [fnd]
Repository: CRAN
Date/Publication: 2020-09-17 12:10:02 UTC

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New package MAPITR with initial version 1.0.5
Package: MAPITR
Title: MArginal ePIstasis Test for Regions
Version: 1.0.5
Date: 2020-09-10
Authors@R: c(person(given="Michael",family="Turchin",email = "michael_turchin@brown.edu", role=c("aut","cre"), comment=c(ORCID="0000-0003-3569-1529")), person(given="Gregory",family="Darnell",email="gbd343@gmail.com", role=c("aut","ctb"), comment=c(ORCID="0000-0003-0425-940X")), person(given="Lorin",family="Crawford",email = "lcrawford@brown.edu", role=c("aut","ctb"), comment=c(ORCID="0000-0003-0178-8242")), person(given="Sohini",family="Ramachandran",email="sramachandran@brown.edu", role="aut", comment=c(ORCID="0000-0002-9588-7964")), person(given="Peter",family="Carbonetto",email="peter.carbonetto@gmail.com", role="ctb", comment=c(ORCID="0000-0003-1144-6780")))
Description: A genetic analysis tool and variance component model for identifying marginal epistasis between pathways and the rest of the genome. 'MAPITR' uses as input a matrix of genotypes, a vector of phenotypes, and a list of pathways, and iteratively tests each pathway for epistasis between any variants within the pathway versus any variants remaining in the rest of the genome. 'MAPITR' returns results in the form of p-values for every pathway indicating whether the null model of there being no epistatic interactions between a pathway and the rest of the genome can be rejected.
License: MIT + file LICENSE
URL: https://github.com/mturchin20/MAPITR
BugReports: https://github.com/mturchin20/MAPITR/issues
Depends: R (>= 3.3.0)
Imports: utils, stats, doParallel, Rcpp (>= 1.0.5), CompQuadForm
Suggests: testthat, knitr, rmarkdown
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
RoxygenNote: 7.1.1
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
Packaged: 2020-09-10 15:29:55 UTC; mturchin20
Author: Michael Turchin [aut, cre] (<https://orcid.org/0000-0003-3569-1529>), Gregory Darnell [aut, ctb] (<https://orcid.org/0000-0003-0425-940X>), Lorin Crawford [aut, ctb] (<https://orcid.org/0000-0003-0178-8242>), Sohini Ramachandran [aut] (<https://orcid.org/0000-0002-9588-7964>), Peter Carbonetto [ctb] (<https://orcid.org/0000-0003-1144-6780>)
Maintainer: Michael Turchin <michael_turchin@brown.edu>
Repository: CRAN
Date/Publication: 2020-09-17 12:30:03 UTC

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New package inldata with initial version 1.0.3
Package: inldata
Title: Collection of Datasets for the USGS-INL Aquifer Monitoring Networks
Version: 1.0.3
Authors@R: person(given = c("Jason", "C."), family = "Fisher", role=c("aut", "cre"), email = "jfisher@usgs.gov", comment = c(ORCID="0000-0001-9032-8912"))
Description: Contains data for the U.S. Geological Survey-Idaho National Laboratory (USGS-INL) aquifer monitoring networks administrated by the Idaho National Laboratory Project Office in cooperation with the U.S. Department of Energy.
Depends: R (>= 3.5.0)
Imports: sp, raster
Suggests: dataRetrieval, inlmisc, knitr, maptools, rgdal, rgeos, stats, tools, utils
License: CC0
URL: https://code.usgs.gov/inl/inldata
BugReports: https://code.usgs.gov/inl/inldata/-/issues
Copyright: This software is in the public domain because it contains materials that originally came from the United States Geological Survey (USGS), an agency of the United States Department of Interior. For more information, see the official USGS copyright policy at https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-10 15:32:00 UTC; jfisher
Author: Jason C. Fisher [aut, cre] (<https://orcid.org/0000-0001-9032-8912>)
Maintainer: Jason C. Fisher <jfisher@usgs.gov>
Repository: CRAN
Date/Publication: 2020-09-17 12:40:03 UTC

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New package glvmfit with initial version 0.0.0
Package: glvmfit
Title: Methods to Assess Generalized Latent Variable Model Fit
Version: 0.0.0
Authors@R: c( person(given = "Tyler", family = "Matta", role = c("aut", "cre"), email = "tyler.matta@gmail.com"), person(given = "Daniel", family = "McNeish", role = "aut", email = "dmcneish@asu.edu"))
Description: Provides standardized root mean residual global fit index for generalized latent variable models.
Encoding: UTF-8
LazyData: true
License: GPL-3
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-09-10 17:21:51 UTC; tmatta
Author: Tyler Matta [aut, cre], Daniel McNeish [aut]
Maintainer: Tyler Matta <tyler.matta@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-17 12:50:07 UTC

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New package condTruncMVN with initial version 0.0.2
Package: condTruncMVN
Version: 0.0.2
Type: Package
Title: Conditional Truncated Multivariate Normal Distribution
Authors@R: person("Paul M.", "Hargarten", email = "hargartenp@vcu.edu", role = c("aut", "cre"))
Maintainer: Paul M. Hargarten <hargartenp@vcu.edu>
Description: Computes the density and probability for the conditional truncated multivariate normal (Horrace (2005) p. 4, <doi:10.1016/j.jmva.2004.10.007>). Also draws random samples from this distribution.
License: GPL-3
Depends: R(>= 3.5.0)
Imports: condMVNorm(>= 2020.1), matrixNormal(>= 0.0.1), tmvmixnorm(>= 1.0.2), tmvtnorm(>= 1.4-10), truncnorm(>= 1.0-8)
Suggests: formatR, knitr, rmarkdown, roxygen2, sessioninfo, spelling, testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Language: en-US
BugReports: https://github.com/phargarten2/condTruncMVN/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-10 17:55:52 UTC; pablo
Author: Paul M. Hargarten [aut, cre]
Repository: CRAN
Date/Publication: 2020-09-17 12:50:11 UTC

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New package bmgarch with initial version 1.0.0
Package: bmgarch
Title: Bayesian Multivariate GARCH Models
Version: 1.0.0
Authors@R: c( person(given = "Philippe", family = "Rast", role = c("aut", "cre"), email = "rast.ph@gmail.com", comment = c(ORCID = "0000-0003-3630-6629")), person(given = "Stephen", family = "Martin", role = c("aut"), email = "stephenSRMmartin@gmail.com", comment = c(ORCID = "0000-0001-8085-2390")))
Description: Fit Bayesian multivariate GARCH models using 'Stan' for full Bayesian inference. Generate (weighted) forecasts for means, variances (volatility) and correlations. Currently DCC(P,Q), CCC(P,Q), pdBEKK(P,Q), and BEKK(P,Q) parameterizations are implemented, based either on a multivariate gaussian normal or student-t distribution. DCC and CCC models are based on Engle (2002) <doi:10.1198/073500102288618487> and Bollerslev (1990) <doi:10.2307/2109358>. The BEKK parameterization follows Engle and Kroner (1995) <doi:10.1017/S0266466600009063> while the pdBEKK as well as the estimation approach for this package is described in Rast et al. (2020) <doi:10.31234/osf.io/j57pk>. The fitted models contain 'rstan' objects and can be examined with 'rstan' functions.
License: GPL (>= 3)
Depends: methods, R (>= 3.5.0), Rcpp (>= 1.0.1)
Imports: rstan (>= 2.21.2), rstantools (>= 1.5.1), ggplot2, MASS, forecast, loo, Rdpack
LinkingTo: BH (>= 1.69.0-1), Rcpp (>= 1.0.1), RcppEigen (>= 0.3.3.5.0), rstan (>= 2.18.2), StanHeaders (>= 2.18.1)
RdMacros: Rdpack
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
SystemRequirements: GNU make
RoxygenNote: 7.1.1
Suggests: testthat (>= 2.1.0)
BugReports: https://github.com/ph-rast/bmgarch/issues
Packaged: 2020-09-10 20:51:05 UTC; philippe
Author: Philippe Rast [aut, cre] (<https://orcid.org/0000-0003-3630-6629>), Stephen Martin [aut] (<https://orcid.org/0000-0001-8085-2390>)
Maintainer: Philippe Rast <rast.ph@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-17 13:00:03 UTC

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New package eatTools with initial version 0.3.6
Package: eatTools
Type: Package
Title: Miscellaneous Functions for the Analysis of Educational Assessments
Version: 0.3.6
Depends: R (>= 3.5.0)
Imports: stats, data.table
Date: 2020-09-10
Authors@R: c( person("Sebastian", "Weirich", email = "sebastian.weirich@iqb.hu-berlin.de", role = c("aut", "cre")), person("Martin", "Hecht", role = c("aut")), person("Karoline", "Sachse", role = c("aut")), person("Benjamin", "Becker", role = c("aut")), person("Nicole", "Mahler", role = c("aut")))
Description: Miscellaneous functions for data cleaning and data analysis of educational assessments. Includes functions for descriptive analyses, character vector manipulations and weighted statistics. Mainly a lightweight dependency for the packages 'eatRep', 'eatGADS', 'eatPrep' and 'eatModel' (which will be subsequently submitted to 'CRAN'). The function for defining (weighted) contrasts in weighted effect coding refers to te Grotenhuis et al. (2017) <doi:10.1007/s00038-016-0901-1>. Functions for weighted statistics refer to Wolter (2007) <doi:10.1007/978-0-387-35099-8>.
License: GPL (>= 2)
LazyData: true
LazyLoad: yes
Suggests: testthat, covr
NeedsCompilation: no
Packaged: 2020-09-10 10:47:16 UTC; Sebastian Weirich
Author: Sebastian Weirich [aut, cre], Martin Hecht [aut], Karoline Sachse [aut], Benjamin Becker [aut], Nicole Mahler [aut]
Maintainer: Sebastian Weirich <sebastian.weirich@iqb.hu-berlin.de>
Repository: CRAN
Date/Publication: 2020-09-17 11:40:03 UTC

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New package dfrr with initial version 0.1.4
Package: dfrr
Type: Package
Title: Dichotomized Functional Response Regression
Version: 0.1.4
Authors@R: c( person("Fatemeh", "Asgari", email = "ft.asgari@sci.ui.ac.ir", role = c("aut", "cre")), person("Saeed", "Hayati", email = "s.hayati@sci.ui.ac.ir", role = c("aut", "ctb")) )
Maintainer: Fatemeh Asgari <ft.asgari@sci.ui.ac.ir>
Description: Implementing Function-on-Scalar Regression model in which the response function is dichotomized and observed sparsely. This package provides smooth estimations of functional regression coefficients and principal components for the dichotomized functional response regression (dfrr) model.
License: GPL-3
LazyData: TRUE
Encoding: UTF-8
Depends: R (>= 3.5.0), tmvtnorm (>= 1.4-10), fda (>= 5.1.4)
Imports: MASS, ggplot2, plotly
Suggests: car
URL: https://github.com/asgari-fatemeh/dfrr
BugReports: https://github.com/asgari-fatemeh/dfrr/issues
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-10 13:58:43 UTC; Saeed
Author: Fatemeh Asgari [aut, cre], Saeed Hayati [aut, ctb]
Repository: CRAN
Date/Publication: 2020-09-17 12:00:02 UTC

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New package cmsafops with initial version 1.0.0
Package: cmsafops
Title: Tools for CM SAF NetCDF Data
Version: 1.0.0
Authors@R: person(given = "Steffen", family = "Kothe", role = c("aut", "cre"), email = "Steffen.Kothe@dwd.de")
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<http://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsafops' R-package provides a collection of R-operators for the analysis and manipulation of CM SAF NetCDF formatted data. Other CF conform NetCDF data with time, longitude and latitude dimension should be applicable, but there is no guarantee for an error-free application. CM SAF climate data records are provided for free via (<https://wui.cmsaf.eu>). Detailed information and test data are provided on the CM SAF webpage (<http://www.cmsaf.eu/R_toolbox>).
URL: https://www.cmsaf.eu
License: GPL (>= 3)
Depends: R (>= 3.6)
Imports: assertthat (>= 0.2.1), fields (>= 10.3), FNN (>= 1.1), ncdf4 (>= 1.17), rainfarmr (>= 0.1), raster (>= 3.0), sp (>= 1.4)
NeedsCompilation: no
Repository: CRAN
LazyData: true
Suggests: cmsaf, cmsafvis, spelling (>= 2.1), testthat (>= 2.3)
RoxygenNote: 7.1.1
Encoding: UTF-8
Language: en-US
Packaged: 2020-09-10 12:03:15 UTC; stkothe
Author: Steffen Kothe [aut, cre]
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>
Date/Publication: 2020-09-17 11:50:07 UTC

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New package treeplyr with initial version 0.1.10
Package: treeplyr
Type: Package
Title: 'dplyr' Functionality for Matched Tree and Data Objects
Version: 0.1.10
Date: 2020-09-04
Authors@R: c( person(given = "Josef", family = "Uyeda", role=c("cre"), email="juyeda@vt.edu", comment = c(ORCID="0000-0003-4624-9680") ), person(given = "Luke", family = "Harmon", role = c("aut"), email = "lukeh@uidaho.edu", comment = c(ORCID="0000-0002-4985-5750") ) )
Maintainer: Josef Uyeda <juyeda@vt.edu>
Description: Matches phylogenetic trees and trait data, and allows simultaneous manipulation of the tree and data using 'dplyr'.
License: GPL-2 | GPL-3
Depends: ape (>= 3.0-6), dplyr (>= 0.8.0), R (>= 3.1.2)
Imports: Rcpp (>= 0.10.3), lazyeval, phytools, geiger
LinkingTo: Rcpp
URL: https://github.com/uyedaj/treeplyr
BugReports: https://github.com/uyedaj/treeplyr/issues
RoxygenNote: 7.1.1
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2020-09-14 13:24:18 UTC; juyeda
Author: Josef Uyeda [cre] (<https://orcid.org/0000-0003-4624-9680>), Luke Harmon [aut] (<https://orcid.org/0000-0002-4985-5750>)
Repository: CRAN
Date/Publication: 2020-09-17 10:10:02 UTC

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New package postpack with initial version 0.5.2
Package: postpack
Title: Utilities for Processing Posterior Samples Stored in 'mcmc.lists'
Version: 0.5.2
Authors@R: person("Ben", "Staton", email = "statonbe@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-2342-3482"))
Description: The aim of 'postpack' is to provide the infrastructure for a standardized workflow for 'mcmc.list' objects. These objects can be used to store output from models fitted with Bayesian inference using 'JAGS', 'WinBUGS', 'OpenBUGS', 'NIMBLE', 'Stan', or even custom MCMC algorithms. Although the 'coda' R package provides some methods for these objects, it is somewhat limited in easily performing post-processing tasks for specific nodes. Models are ever increasing in their complexity and the number of tracked nodes, and oftentimes a user may wish to summarize/diagnose sampling behavior for only a small subset of nodes at a time for a particular question or figure. Thus, many 'postpack' functions support performing tasks on a subset of nodes, where the subset is specified with regular expressions. The functions in 'postpack' streamline the extraction, summarization, and diagnostics of specific monitored nodes after model fitting. Further, because there is rarely only ever one model under consideration, 'postpack' scales efficiently to perform the same tasks on output from multiple models simultaneously, facilitating rapid assessment of model sensitivity to changes in assumptions.
Depends: R (>= 3.5.0)
Imports: stringr (>= 1.3.1), matrixcalc, coda, mcmcse, abind
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
URL: https://bstaton1.github.io/postpack/
BugReports: https://github.com/bstaton1/postpack/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-09 22:23:57 UTC; bstaton
Author: Ben Staton [aut, cre] (<https://orcid.org/0000-0002-2342-3482>)
Maintainer: Ben Staton <statonbe@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-17 09:30:03 UTC

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New package PheCAP with initial version 1.2.1
Package: PheCAP
Type: Package
Title: High-Throughput Phenotyping with EHR using a Common Automated Pipeline
Version: 1.2.1
Authors@R: c( person("Yichi", "Zhang", role = "aut"), person("Chuan", "Hong", role = "aut"), person("Tianxi", "Cai", role = "aut"), person(family = "PARSE LTD", role = c("aut", "cre"), email = "software@parse-health.org") )
Description: Implement surrogate-assisted feature extraction (SAFE) and common machine learning approaches to train and validate phenotyping models. Background and details about the methods can be found at Zhang et al. (2019) <doi:10.1038/s41596-019-0227-6>, Yu et al. (2017) <doi:10.1093/jamia/ocw135>, and Liao et al. (2015) <doi:10.1136/bmj.h1885>.
URL: https://celehs.github.io/PheCAP/, https://github.com/celehs/PheCAP
BugReports: https://github.com/celehs/PheCAP/issues
License: GPL-3
Encoding: UTF-8
ByteCompile: yes
Imports: graphics, methods, stats, utils, glmnet, RMySQL
Suggests: ggplot2, e1071, randomForestSRC, xgboost, knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.3.0)
RoxygenNote: 7.1.1
LazyData: true
NeedsCompilation: no
Packaged: 2020-09-17 08:41:04 UTC; ubuntu
Author: Yichi Zhang [aut], Chuan Hong [aut], Tianxi Cai [aut], PARSE LTD [aut, cre]
Maintainer: PARSE LTD <software@parse-health.org>
Repository: CRAN
Date/Publication: 2020-09-17 09:30:18 UTC

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New package PBIR with initial version 0.1-0
Package: PBIR
Type: Package
Title: Estimating the Probability of Being in Response and Related Outcomes
Version: 0.1-0
Author: Xiaodong Luo [aut], Bo Huang [aut], Lu Tian [aut, cre](<https://orcid.org/0000-0002-5893-0169>)
Maintainer: Lu Tian <lutian@stanford.edu>
Description: Make statistical inference on the probability of being in response, the duration of response, and the cumulative response rate up to a given time point. The method can be applied to analyze phase II randomized clinical trials with the endpoints being time to treatment response and time to progression or death.
License: GPL (>= 2)
Imports: survival, stats, cmprsk
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
Repository: CRAN
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-09-09 17:34:41 UTC; lutia
Date/Publication: 2020-09-17 09:10:12 UTC

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New package mvGPS with initial version 1.0.2
Package: mvGPS
Title: Causal Inference using Multivariate Generalized Propensity Score
Version: 1.0.2
Authors@R: person(given = "Justin", family = "Williams", role = c("aut", "cre"), email = "williazo@ucla.edu", comment = c(ORCID = "https://orcid.org/0000-0002-5045-2764"))
Description: Methods for estimating weights and generalized propensity score for multiple continuous exposures via the generalized propensity score described in Williams, J.R, and Cresi, C.M (2020) <arxiv:2008.13767>. Weights are constructed assuming an underlying multivariate normal density for the marginal and conditional distribution of exposures given a set of confounders. These weights can then be used to estimate dose-response curves or surfaces. This method achieves balance across all exposure dimension rather than along a single dimension.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: false
RoxygenNote: 7.1.0
RdMacros: Rdpack
VignetteBuilder: knitr
Depends: R (>= 3.6)
Imports: Rdpack, MASS, WeightIt, cobalt, matrixNormal, geometry, sp, gbm, CBPS
BugReports: https://github.com/williazo/mvGPS/issues
URL: https://github.com/williazo/mvGPS
Suggests: testthat, knitr, dagitty, ggdag, dplyr, rmarkdown
NeedsCompilation: no
Packaged: 2020-09-09 15:14:13 UTC; williazo
Author: Justin Williams [aut, cre] (<https://orcid.org/0000-0002-5045-2764>)
Maintainer: Justin Williams <williazo@ucla.edu>
Repository: CRAN
Date/Publication: 2020-09-17 09:10:03 UTC

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New package keyToEnglish with initial version 0.1.0
Package: keyToEnglish
Type: Package
Title: Convert Data to Memorable Phrases
Version: 0.1.0
Author: Max Candocia
Maintainer: Max Candocia <maxcandocia@gmail.com>
URL: https://github.com/mcandocia/keyToEnglish
Description: Convert keys and other values to memorable phrases. Includes some methods to build lists of words.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: openssl, stringr, jsonlite
Depends: R (>= 3.4.0)
RoxygenNote: 7.1.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-09-10 05:28:58 UTC; mscan
Repository: CRAN
Date/Publication: 2020-09-17 09:30:08 UTC

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New package gde with initial version 0.1.4
Package: gde
Title: GBIF Dataset Explorer
Version: 0.1.4
Date: 2020-09-09
Authors@R: c(person("Luis J", "Villanueva", email = "villanueval@si.edu", role = c("aut", "cre")) )
Description: Functions to explore datasets from the Global Biodiversity Information Facility (GBIF - <https://www.gbif.org/>) using a Shiny interface.
Encoding: UTF-8
Imports: dplyr, stringr, DT, XML, data.table, R.utils, readr, jsonlite, progress, rgbif, httr, shinyWidgets, shinycssloaders
Depends: R(>= 3.2.0), DBI, leaflet, shiny, ggplot2, odbc
License: Apache License (>= 2.0)
URL: https://github.com/Smithsonian/GBIF-Dataset-Explorer
BugReports: https://github.com/Smithsonian/GBIF-Dataset-Explorer/issues
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-09-09 21:08:35 UTC; villanueval
Author: Luis J Villanueva [aut, cre]
Maintainer: Luis J Villanueva <villanueval@si.edu>
Repository: CRAN
Date/Publication: 2020-09-17 09:10:08 UTC

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New package diyar with initial version 0.2.0
Package: diyar
Type: Package
Title: Multistage Record Linkage and Case Definition for Epidemiological Analysis
Date: 2020-09-16
Version: 0.2.0
URL: https://olisansonwu.github.io/diyar/index.html,
BugReports: https://github.com/OlisaNsonwu/diyar/issues
Author: Olisaeloka Nsonwu
Maintainer: Olisaeloka Nsonwu <olisa.nsonwu@gmail.com>
Description: Perform multistage deterministic linkages and apply case definitions to datasets. Records are linked by different matching criteria in a specified order of certainty. The linkage process handles missing data and conflicting matches using this same order. Track events (e.g. sample collection) and period (e.g. hospital admission) to episodes. This process permits several options such as episode lengths and recurrence. Record linkage and episode tracking assign unique group identifiers to matched records. Duplicate events or records can then be identified or sub-analyses performed within each group.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: methods, grDevices, graphics, utils, Rfast
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, testthat, covr
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2020-09-16 15:07:10 UTC; Olisaeloka.Nsonwu
Repository: CRAN
Date/Publication: 2020-09-17 09:30:12 UTC

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New package zipcodeR with initial version 0.1.0
Package: zipcodeR
Title: Data & Functions for Working with US ZIP Codes
Version: 0.1.0
Authors@R: person(given = "Gavin", family = "Rozzi", role = c("aut", "cre"), email = "gr@gavinrozzi.com", comment = c(ORCID = "0000-0002-9969-8175"))
Description: Make working with ZIP codes in R painless with an integrated dataset of U.S. ZIP codes and functions for working with them. Search ZIP codes by multiple geographies, including state, county, city & across time zones. Also included are functions for relating ZIP codes to Census data.
License: GPL-3
URL: https://github.com/gavinrozzi/zipcodeR/, https://www.gavinrozzi.com/project/zipcoder/
BugReports: https://github.com/gavinrozzi/zipcodeR/issues/
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: rlang
Depends: R (>= 2.10), dplyr, stringr
NeedsCompilation: no
Packaged: 2020-09-09 11:05:24 UTC; shore
Author: Gavin Rozzi [aut, cre] (<https://orcid.org/0000-0002-9969-8175>)
Maintainer: Gavin Rozzi <gr@gavinrozzi.com>
Repository: CRAN
Date/Publication: 2020-09-17 08:50:03 UTC

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New package textshaping with initial version 0.1.0
Package: textshaping
Title: Bindings to the 'HarfBuzz' and 'Fribidi' Libraries for Text Shaping
Version: 0.1.0
Authors@R: c( person("Thomas Lin", "Pedersen", , "thomas.pedersen@rstudio.com", c("cre", "aut"), comment = c(ORCID = "0000-0002-5147-4711")), person("RStudio", role = "cph") )
Description: Provides access to the text shaping functionality in the 'HarfBuzz' library and the bidirectional algorithm in the 'Fribidi' library. 'textshaping' is a low-level utility package mainly for graphic devices that expands upon the font tool-set provided by the 'systemfonts' package.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: cpp11, systemfonts (>= 0.3.0)
LinkingTo: cpp11, systemfonts
SystemRequirements: C++11, freetype2, harfbuzz, fribidi
URL: https://github.com/r-lib/textshaping
BugReports: https://github.com/r-lib/textshaping/issues
Suggests: covr, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-09-09 07:22:32 UTC; thomas
Author: Thomas Lin Pedersen [cre, aut] (<https://orcid.org/0000-0002-5147-4711>), RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@rstudio.com>
Repository: CRAN
Date/Publication: 2020-09-17 08:10:02 UTC

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New package lsei with initial version 1.3-0
Package: lsei
Title: Solving Least Squares or Quadratic Programming Problems under Equality/Inequality Constraints
Version: 1.3-0
Date: 2020-09-07
Authors@R: c( person("Yong", "Wang", email = "yongwang@auckland.ac.nz", role = c("aut","cre")), person("Charles L.", "Lawson", role = "aut"), person("Richard J.", "Hanson", role = "aut"))
Description: It contains functions that solve least squares linear regression problems under linear equality/inequality constraints. Functions for solving quadratic programming problems are also available, which transform such problems into least squares ones first. It is developed based on the 'Fortran' program of Lawson and Hanson (1974, 1995), which is public domain and available at <http://www.netlib.org/lawson-hanson/>.
Encoding: UTF-8
License: GPL (>= 2)
URL: https://www.stat.auckland.ac.nz/~yongwang/
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2020-09-06 21:47:31 UTC; yong
Author: Yong Wang [aut, cre], Charles L. Lawson [aut], Richard J. Hanson [aut]
Maintainer: Yong Wang <yongwang@auckland.ac.nz>
Repository: CRAN
Date/Publication: 2020-09-17 08:20:03 UTC

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New package lefko3 with initial version 2.4.2
Package: lefko3
Type: Package
Title: Historical and Ahistorical Population Projection Matrix Analysis
Version: 2.4.2
Date: 2020-09-09
Authors@R: c(person(given = "Richard P.", family = "Shefferson", email = "cdorm@g.ecc.u-tokyo.ac.jp", role = c("aut", "cre"), comment=c(ORCID="0000-0002-5234-3131")), person(given = "Johan", family = "Ehrlen", role = "aut", comment=c(ORCID="0000-0001-8539-8967")))
Description: Creates matrix population models for use in population ecological analyses. Specializes on the construction of historical matrices, which are 2d matrices comprising 3 time intervals of demographic information. Estimates both raw and function-based forms of historical and standard ahistorical matrices. Methodology based on Ehrlen (2000) <doi:10.1890/0012-9658(2000)081[1675:TDOPPD]2.0.CO;2>.
Encoding: UTF-8
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.3), glmmTMB, lme4, MASS, MuMIn, RSpectra, stats, stringr
LinkingTo: Rcpp, RcppArmadillo
LazyData: true
RoxygenNote: 7.1.1
Suggests: knitr, popbio, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-09-09 08:50:48 UTC; richshefferson
Author: Richard P. Shefferson [aut, cre] (<https://orcid.org/0000-0002-5234-3131>), Johan Ehrlen [aut] (<https://orcid.org/0000-0001-8539-8967>)
Maintainer: Richard P. Shefferson <cdorm@g.ecc.u-tokyo.ac.jp>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2020-09-17 08:20:08 UTC

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New package IRTBEMM with initial version 1.0.4
Package: IRTBEMM
Type: Package
Title: Family of Bayesian EMM Algorithm for Item Response Models
Version: 1.0.4
Date: 2020-09-09
Authors@R: c(person("Shaoyang", "Guo", role = c("aut", "cre", "cph"), email = "syguo1992@outlook.com"), person("Chanjin", "Zheng", role = "aut"), person("Justin L", "Kern", role = "aut"))
Description: Applying the family of the Bayesian Expectation-Maximization-Maximization (BEMM) algorithm to estimate: (1) Three parameter logistic (3PL) model proposed by Birnbaum (1968, ISBN:9780201043105); (2) four parameter logistic (4PL) model proposed by Barton & Lord (1981) <doi:10.1002/j.2333-8504.1981.tb01255.x>; (3) one parameter logistic guessing (1PLG) and (4) one parameter logistic ability-based guessing (1PLAG) models proposed by San Martín et al (2006) <doi:10.1177/0146621605282773>. The BEMM family includes (1) the BEMM algorithm for 3PL model proposed by Guo & Zheng (2019) <doi:10.3389/fpsyg.2019.01175>; (2) the BEMM algorithm for 1PLG model and (3) the BEMM algorithm for 1PLAG model proposed by Guo, Wu, Zheng, & Wang (2018) <https:www.ncme.org/news/past-meetings/2018-recap>; (4) the BEMM algorithm for 4PL model proposed by Zhang, Guo, & Zheng (2018) <https:www.ncme.org/news/past-meetings/2018-recap>; and (5) their maximum likelihood estimation versions proposed by Zheng, Meng, Guo, & Liu (2018) <doi:10.3389/fpsyg.2017.02302>. Thus, both Bayesian modal estimates and maximum likelihood estimates are available.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
NeedsCompilation: yes
Packaged: 2020-09-09 12:53:16 UTC; syguo1992
Encoding: UTF-8
Author: Shaoyang Guo [aut, cre, cph], Chanjin Zheng [aut], Justin L Kern [aut]
Maintainer: Shaoyang Guo <syguo1992@outlook.com>
Repository: CRAN
Date/Publication: 2020-09-17 09:00:09 UTC

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New package fairsubset with initial version 1.0
Package: fairsubset
Type: Package
Title: Choose Representative Subsets
Version: 1.0
Date: 2020-08-14
Author: Joe Delaney
Maintainer: Joe Delaney <delaneyj@musc.edu>
Description: Allows user to obtain subsets of columns of data or vectors within a list. These subsets will match the original data in terms of average and variation, but have a consistent length of data per column. It is intended for use on automated data generation which may not always output the same N per replicate or sample.
URL: https://pubmed.ncbi.nlm.nih.gov/31583263/
License: GPL-3
Imports: matrixStats, stats
RoxygenNote: 7.1.1
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-08-14 13:19:56 UTC; JoeDel
Repository: CRAN
Date/Publication: 2020-09-17 08:50:08 UTC

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New package disdat with initial version 1.0-0
Package: disdat
Type: Package
Title: Data for Comparing Species Distribution Modeling Methods
Version: 1.0-0
Date: 2020-09-07
Maintainer: Roozbeh Valavi <valavi.r@gmail.com>
License: GPL (>= 3)
Encoding: UTF-8
LazyLoad: yes
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, sf, terra, raster, rgdal, mapview
VignetteBuilder: knitr
NeedsCompilation: no
Authors@R: c( person("Robert J.", "Hijmans", role = "aut", email = "r.hijmans@gmail.com", comment = c(ORCID = "0000-0001-5872-2872")), person("Roozbeh", "Valavi", role = c("cre", "aut"), email = "valavi.r@gmail.com"), person("Jane", "Elith", role = "aut", email = "j.elith@gmail.com"))
Description: Easy access to species distribution data for 6 regions in the world, for a total of 226 anonymised species. These data are described and made available by Elith et al (2020) <doi:10.17161/bi.v15i2.13384> to compare species distribution modelling methods.
Packaged: 2020-09-09 10:05:03 UTC; rvalavi
Author: Robert J. Hijmans [aut] (<https://orcid.org/0000-0001-5872-2872>), Roozbeh Valavi [cre, aut], Jane Elith [aut]
Repository: CRAN
Date/Publication: 2020-09-17 08:40:10 UTC

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Wed, 16 Sep 2020

New package RCGLS with initial version 1.0.3
Package: RCGLS
Title: Download and Open Data Provided by the Copernicus Global Land Service
Version: 1.0.3
Authors@R: c( person(given = "Willemijn", family = "Vroege", role = c("aut", "cre"), email = "wvroege@ethz.ch", comment = c(ORCID = "0000-0001-5076-0559")), person(given = "Tim", family = "Jacobs", role = c("ctb"), email = "helpdeskticket@vgt.vito.be"), person(given = "Xavier", family = "Rottlan Puig", role = c("ctb"), email = "xavier.rotllan.puig@aster-projects.cat"), person(given = "Uwe", family = "Schmitt", role = c("ctb"), email = "uwe.schmitt@id.ethz.ch"), person("ETH Zurich", role = c("cph")) )
Description: Download and open manifest files provided by the Copernicus Global Land Service data <https://land.copernicus.eu/global/>. The manifest files are available at: <https://land.copernicus.vgt.vito.be/manifest/>. Also see: <https://land.copernicus.eu/global/access/>. Before you can download the data, you will first need to register to create a username and password.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: RCurl, ncdf4, raster, sp
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-09-08 14:20:09 UTC; wvroege
Author: Willemijn Vroege [aut, cre] (<https://orcid.org/0000-0001-5076-0559>), Tim Jacobs [ctb], Xavier Rottlan Puig [ctb], Uwe Schmitt [ctb], ETH Zurich [cph]
Maintainer: Willemijn Vroege <wvroege@ethz.ch>
Repository: CRAN
Date/Publication: 2020-09-16 09:10:17 UTC

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New package jmvReadWrite with initial version 0.1.0
Package: jmvReadWrite
Title: Read and Write 'jamovi' Files ('.omv')
Version: 0.1.0
Authors@R: person(given = "Sebastian", family = "Jentschke", role = c("aut", "cre"), email = "sebastian.jentschke@uib.no", comment = c(ORCID = "0000-0003-2576-5432"))
Description: The free and open a statistical spreadsheet 'jamovi' (www.jamovi.org) aims to makes statistical analyses easy and intuitive. 'jamovi' produces syntax that can directly be used in R (in connection with the R-package 'jmv'). Having import / export routines for the data files 'jamovi' produces ('.omv') permits an easy transfer of analyses between 'jamovi' and R.
License: AGPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
VignetteBuilder: knitr
BugReports: https://github.com/sjentsch/jmvReadWrite/issues
Depends: R (>= 3.5.0)
Imports: rjson, stats, utils
Suggests: jmv, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2020-09-08 15:28:09 UTC; sjentsch
Author: Sebastian Jentschke [aut, cre] (<https://orcid.org/0000-0003-2576-5432>)
Maintainer: Sebastian Jentschke <sebastian.jentschke@uib.no>
Repository: CRAN
Date/Publication: 2020-09-16 09:30:02 UTC

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New package incidental with initial version 0.1
Package: incidental
Title: Implements Empirical Bayes Incidence Curves
Version: 0.1
Authors@R: c(person("Andrew", "Miller", email = "acmiller@apple.com", role = c("aut")), person("Lauren", "Hannah", email = "lauren_hannah@apple.com", role = c("aut", "cre")), person("Nicholas", "Foti", email = "nicholas_foti@apple.com", role = "aut"), person("Joseph", "Futoma", email = "jfutoma@apple.com", role = "aut"), person("Apple, Inc.", email = "hai@apple.com", role = "cph"))
Description: Make empirical Bayes incidence curves from reported case data using a specified delay distribution.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
LazyData: true
RoxygenNote: 7.1.1
Imports: ggplot2, MASS, matrixStats, numDeriv, dlnm, stats, utils
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-09-09 00:35:46 UTC; lhannah
Author: Andrew Miller [aut], Lauren Hannah [aut, cre], Nicholas Foti [aut], Joseph Futoma [aut], Apple, Inc. [cph]
Maintainer: Lauren Hannah <lauren_hannah@apple.com>
Repository: CRAN
Date/Publication: 2020-09-16 09:50:03 UTC

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New package gmGeostats with initial version 0.10-6
Package: gmGeostats
Version: 0.10-6
Date: 2020-09-07
Title: Geostatistics for Compositional Analysis
Authors@R: c(person(given = "Raimon", family = "Tolosana-Delgado", role = c("aut"), email = "r.tolosana@hzdr.de", comment = c(ORCID = "0000-0001-9847-0462")), person(given = "Ute", family = "Mueller", role = c("aut"), email = "u.mueller@ecu.edu.au"), person(given = "K. Gerald", family = "van den Boogaart", role = c("ctb", "cre"), email = "support@boogaart.de"), person(given = "Hassan", family = "Talebi", role = c("ctb", "cph"), email = "hassan.talebi@csiro.au"), person(given = "Helmholtz-Zentrum Dresden-Rossendorf", role = "cph"), person(given = "Edith Cowan University", role = "cph") )
Depends: R (>= 2.10)
Suggests: FNN, JADE, jointDiag, DescTools, knitr, rmarkdown (>= 2.3), magrittr, readxl
Imports: methods, gstat, compositions (>= 2.0), sp, boot, foreach, utils, RColorBrewer
Description: Support for geostatistical analysis of multivariate data, in particular data with restrictions, e.g. positive amounts data, compositional data, distributional data, microstructural data, etc. It includes descriptive analysis and modelling for such data, both from a two-point Gaussian perspective and multipoint perspective. The methods mainly follow Tolosana-Delgado, Mueller and van den Boogaart (2018) <doi:10.1007/s11004-018-9769-3>.
License: CC BY-SA 4.0 | GPL (>= 2)
URL: https://www.r-project.org, http://www.stat.boogaart.de
Copyright: (C) 2020 by Helmholtz-Zentrum Dresden-Rossendorf and Edith Cowan University; gsi.DS code by Hassan Talebi
RoxygenNote: 7.1.0
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
Collate: 'Anamorphosis.R' 'compositionsCompatibility.R' 'gstatCompatibility.R' 'variograms.R' 'gmValidationStrategy.R' 'gmAnisotropy.R' 'abstractClasses.R' 'accuracy.R' 'data.R' 'exploratools.R' 'genDiag.R' 'geostats.R' 'gmDataFrameStack.R' 'gmSimulation.R' 'gmSpatialMethodParameters.R' 'gmSpatialModel.R' 'grids.R' 'mask.R' 'spSupport.R' 'uncorrelationTest.R' 'zzz.R'
NeedsCompilation: yes
Packaged: 2020-09-08 13:43:49 UTC; tolosa53
Author: Raimon Tolosana-Delgado [aut] (<https://orcid.org/0000-0001-9847-0462>), Ute Mueller [aut], K. Gerald van den Boogaart [ctb, cre], Hassan Talebi [ctb, cph], Helmholtz-Zentrum Dresden-Rossendorf [cph], Edith Cowan University [cph]
Maintainer: K. Gerald van den Boogaart <support@boogaart.de>
Repository: CRAN
Date/Publication: 2020-09-16 09:10:03 UTC

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New package genset with initial version 0.1.0
Package: genset
Type: Package
Title: Generates Data Sets for Class Demonstrations
Version: 0.1.0
Author: Lori Murray [aut, cre], John Wilson [aut, cre]
Maintainer: Lori Murray <lori.murray@uwo.ca>
Description: For educational purposes to demonstrate the importance of multiple regression. The genset function generates a data set from an initial data set to have the same summary statistics (mean, median, and standard deviation) but opposing regression results.
License: GPL-2
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-08 17:32:30 UTC; llmur
Repository: CRAN
Date/Publication: 2020-09-16 09:40:02 UTC

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New package fingertipsR with initial version 1.0.5
Package: fingertipsR
Type: Package
Version: 1.0.5
Title: Fingertips Data for Public Health
Description: Fingertips (<http://fingertips.phe.org.uk/>) contains data for many indicators of public health in England. The underlying data is now more easily accessible by making use of the API.
Maintainer: Sebastian Fox <sebastian.fox@phe.gov.uk>
Depends: R (>= 3.4.0)
Authors@R: c(person("Sebastian", "Fox", , "sebastian.fox@phe.gov.uk", c("aut", "cre")), person("Julian", "Flowers", , "julian.flowers@phe.gov.uk", c("aut","ctb")), person("Simon", "Thelwall", , "simon.thelwall@phe.gov.uk", c("ctb"), comment = c(ORCID = "0000-0002-0434-2724")), person("Duncan", "Gormansway", , "nacnudus@gmail.com", c("ctb")), person("Carl", "Ganz", , "carlganz@gmail.com", c("ctb")), person("David", "Whiting", , "david.whiting@medway.gov.uk", c("ctb")), person("Luke", "Bradley", , "dev.1b7@outlook.com", c("ctb")), person("Crown Copyright 2020", , , , c("cph")))
URL: https://fingertips.phe.org.uk, https://github.com/ropensci/fingertipsR, https://docs.ropensci.org/fingertipsR/
BugReports: https://github.com/ropensci/fingertipsR/issues
Imports: curl, dplyr, DT, httr, jsonlite, miniUI, readr, rlang, shiny, shinycssloaders
Suggests: ggplot2, knitr, pander, rmarkdown, testthat
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-08 15:13:30 UTC; sebastian.fox
Author: Sebastian Fox [aut, cre], Julian Flowers [aut, ctb], Simon Thelwall [ctb] (<https://orcid.org/0000-0002-0434-2724>), Duncan Gormansway [ctb], Carl Ganz [ctb], David Whiting [ctb], Luke Bradley [ctb], Crown Copyright 2020 [cph]
Repository: CRAN
Date/Publication: 2020-09-16 09:30:06 UTC

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New package CNVRG with initial version 0.1
Package: CNVRG
Title: Dirichlet-Multinomial Modelling of Relative Abundance Data
Version: 0.1
Authors@R: c(person(given = "Joshua", family = "Harrison", role = c("aut", "cre"), email = "joshua.grant.harrison@gmail.com", comment = c(ORCID = "0000-0003-2524-0273")), person(given = "Vivaswat", family = "Shastry", role = "aut", comment = c(ORCID = "0000-0002-7294-5607")), person(given = "W. John", family = "Calder", role = "aut", comment = c(ORCID = "0000-0002-8923-1803")), person(given = "C. Alex", family = "Buerkle", role = "aut", comment = c(ORCID = "0000-0003-4222-8858")))
Maintainer: Joshua Harrison <joshua.grant.harrison@gmail.com>
Description: Implements Dirichlet multinomial modelling of relative abundance data using functionality provided by the 'Stan' software. The purpose of this package is to provide a user friendly way to interface with 'Stan' that is suitable for those new to modelling. For more regarding the modelling mathematics and computational techniques we use see our publication in Molecular Ecology Resources titled "Dirichlet multinomial modelling outperforms alternatives for analysis of ecological count data" (Harrison et al. 2020 <doi:10.1111/1755-0998.13128>).
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Biarch: true
Depends: R (>= 3.4.0)
Imports: methods, Rcpp (>= 0.12.0), rstan (>= 2.18.1), vegan
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
Repository: CRAN
NeedsCompilation: yes
Packaged: 2020-09-08 18:54:42 UTC; joshuaharrison
Author: Joshua Harrison [aut, cre] (<https://orcid.org/0000-0003-2524-0273>), Vivaswat Shastry [aut] (<https://orcid.org/0000-0002-7294-5607>), W. John Calder [aut] (<https://orcid.org/0000-0002-8923-1803>), C. Alex Buerkle [aut] (<https://orcid.org/0000-0003-4222-8858>)
Date/Publication: 2020-09-16 09:40:06 UTC

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New package bkmrhat with initial version 0.1.16
Package: bkmrhat
Title: Parallel Chain Tools for Bayesian Kernel Machine Regression
Version: 0.1.16
Date: 2020-09-08
Authors@R: person(given = "Alexander", family = "Keil", role = c("aut", "cre"), email = "akeil@unc.edu")
Author: Alexander Keil [aut, cre]
Maintainer: Alexander Keil <akeil@unc.edu>
Description: Bayesian kernel machine regression (from the 'bkmr' package) is a Bayesian semi-parametric generalized linear model approach under identity and probit links. There are a number of functions in this package that extend Bayesian kernel machine regression fits to allow multiple-chain inference and diagnostics, which leverage functions from the 'future', 'rstan', and 'coda' packages. Reference: Bobb, J. F., Henn, B. C., Valeri, L., & Coull, B. A. (2018). Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression. ; <doi:10.1186/s12940-018-0413-y>.
License: GPL (>= 3)
Depends: coda, R (>= 3.5.0)
Imports: bkmr, future, rstan
Suggests: knitr, markdown
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-09-08 14:58:53 UTC; akeil
Repository: CRAN
Date/Publication: 2020-09-16 09:10:12 UTC

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New package RcppSpdlog with initial version 0.0.1
Package: RcppSpdlog
Type: Package
Title: 'spdlog' C++ Header Library for Logging
Version: 0.0.1
Date: 2020-09-08
Authors@R: c( person("Dirk", "Eddelbuettel", role = c("aut", "cre", "cph"), email = "edd@debian.org"), person("Gabi", "Melman", role = c("aut", "cph"), comment = "Author of included 'spdlog'"), person("Victor", "Zverovic", role = c("ctb", "cph"), comment = "Author of included 'fmt' library"))
Description: The mature and widely-used C++ logging library 'spdlog' provides many desirable features. This package bundles these header files for easy use by R packages via a simple 'LinkingTo:' inclusion.
License: GPL (>= 2)
LinkingTo: Rcpp
Imports: Rcpp
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2020-09-08 12:24:14.521364 UTC; edd
Author: Dirk Eddelbuettel [aut, cre, cph], Gabi Melman [aut, cph] (Author of included 'spdlog'), Victor Zverovic [ctb, cph] (Author of included 'fmt' library)
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Repository: CRAN
Date/Publication: 2020-09-16 08:30:03 UTC

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New package iNZightPlots with initial version 2.12.4
Package: iNZightPlots
Type: Package
Title: Graphical Tools for Exploring Data with 'iNZight'
Version: 2.12.4
Authors@R: c( person("Tom", "Elliott", role = c("aut", "cre"), email = "tom.elliott@auckland.ac.nz", comment = c(ORCID = "0000-0002-7815-6318")), person("Yu Han", "Soh", role = "ctb"), person("Daniel Barnett", role = "ctb") )
Description: Simple plotting function(s) for exploratory data analysis with flexible options allowing for easy plot customisation. The goal is to make it easy for beginners to start exploring a dataset through simple R function calls, as well as provide a similar interface to summary statistics and inference information. Includes functionality to generate interactive HTML-driven graphs. Used by 'iNZight', a graphical user interface providing easy exploration and visualisation of data for students of statistics, available in both desktop and online versions.
BugReports: https://github.com/iNZightVIT/iNZightPlots/issues
Contact: inzight_support@stat.auckland.ac.nz
URL: inzight.nz
Depends: R(>= 3.2)
Imports: grDevices, stats, utils, grid, boot, s20x, survey, quantreg, hexbin, colorspace, dichromat, chron, scales, iNZightMR (>= 2.2.5), iNZightTools (>= 1.9), rlang, magrittr, lubridate
Suggests: hextri, viridis, RColorBrewer, gridSVG (>= 1.7-2), knitr, jsonlite, testthat, covr, ggplot2, dplyr, tidyr, forcats, ggmosaic, waffle, ggthemes, ggbeeswarm, ggridges, plotly
License: GPL-3
Encoding: UTF-8
Language: en-GB
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-07 22:27:42 UTC; emperor
Author: Tom Elliott [aut, cre] (<https://orcid.org/0000-0002-7815-6318>), Yu Han Soh [ctb], Daniel Barnett [ctb]
Maintainer: Tom Elliott <tom.elliott@auckland.ac.nz>
Repository: CRAN
Date/Publication: 2020-09-16 08:40:03 UTC

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New package grpCox with initial version 1.0.1
Package: grpCox
Type: Package
Title: Penalized Cox Model for High-Dimensional Data with Grouped Predictors
Version: 1.0.1
Date: 2020-09-07
Author: Xuan Dang
Maintainer: Xuan Dang <xuandang11289@gmail.com>
Description: Fit the penalized Cox models with both non-overlapping and overlapping grouped penalties including the group lasso, group smoothly clipped absolute deviation, and group minimax concave penalty. The algorithms combine the MM approach and group-wise descent with some computational tricks including the screening, active set, and warm-start. Different tuning regularization parameter methods are provided.
License: GPL (>= 2)
Encoding: UTF-8
Imports: Rcpp (>= 1.0.3)
LinkingTo: Rcpp, RcppEigen
Depends: Matrix (>= 1.2-10), MASS, colorspace
RoxygenNote: 7.0.2
NeedsCompilation: yes
Packaged: 2020-09-08 13:03:35 UTC; Work
Repository: CRAN
Date/Publication: 2020-09-16 09:00:03 UTC

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Tue, 15 Sep 2020

New package testtwice with initial version 1.0.3
Package: testtwice
Type: Package
Title: Testing One Hypothesis Twice in Observational Studies
Version: 1.0.3
Author: Paul R. Rosenbaum
Maintainer: Paul R. Rosenbaum <rosenbaum@wharton.upenn.edu>
Description: Tests one hypothesis with several test statistics, correcting for multiple testing. The central function in the package is testtwice(). In a sensitivity analysis, the method has the largest design sensitivity of its component tests. The package implements the method and examples in Rosenbaum, P. R. (2012) <doi:10.1093/biomet/ass032> Testing one hypothesis twice in observational studies. Biometrika, 99(4), 763-774.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: stats, mvtnorm
NeedsCompilation: no
Packaged: 2020-09-08 00:35:42 UTC; Paul Rosenbaum
Repository: CRAN
Date/Publication: 2020-09-15 10:00:02 UTC

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New package rsbp with initial version 0.1.0
Package: rsbp
Type: Package
Title: Part Information from the Registry of Standard Biological Parts
Version: 0.1.0
Authors@R: person("Santone", "Adam", email = "adam.santone+rsbp@gmail.com", role = c("aut", "cre"))
Description: Provides an R interface to the Registry of Standard Biological Parts API maintained by the iGEM Foundation: <https://igem.org/Main_Page>. Facilitates retrieval of the part number, authorship, date of entry, url, short description, type, and sequence following the guidelines set forth at <http://parts.igem.org/Registry_API/Guidelines>. All Registry content falls under Creative Commons Attribution-ShareAlike: <https://creativecommons.org/licenses/by-sa/4.0/>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 3.6.0)
Imports: magrittr (>= 1.5), dplyr (>= 0.4.0), xml2 (>= 1.3.2), reshape2 (>= 1.4.4), lubridate (>= 1.7.9), tidyr (>= 1.1.1), purrr (>= 0.3.4), tibble (>= 3.0.3)
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-07 17:09:19 UTC; adams
Author: Santone Adam [aut, cre]
Maintainer: Santone Adam <adam.santone+rsbp@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-15 09:40:02 UTC

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New package robomit with initial version 1.0.3
Package: robomit
Version: 1.0.3
Date: 2020-08-25
Title: Robustness Checks for Omitted Variable Bias
Authors@R: c( person(given = "Sergei", family = "Schaub", role = c("aut", "cre"), email = "seschaub@ethz.ch", comment = c(ORCID = "0000-0001-8477-3737")), person("ETH Zurich", role = c("cph")) )
Maintainer: Sergei Schaub <seschaub@ethz.ch>
Description: Robustness checks for omitted variable bias. The package includes robustness checks proposed by Oster (2019). 'robomit' replicates (and extends) function available in Stata (closed source) for use in R (open source). See: Oster, E. 2019. <doi:10.1080/07350015.2016.1227711>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: plm, dplyr, ggplot2, broom, tidyr, tibble, stats,
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-08-31 13:01:05 UTC; schaubse
Author: Sergei Schaub [aut, cre] (<https://orcid.org/0000-0001-8477-3737>), ETH Zurich [cph]
Repository: CRAN
Date/Publication: 2020-09-15 09:30:03 UTC

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New package incase with initial version 0.1.0
Type: Package
Package: incase
Title: Pipe-Friendly Vector Replacement with Case Statements
Version: 0.1.0
Authors@R: person(given = "Alexander", family = "Rossell Hayes", role = c("aut", "cre", "cph"), email = "alexander@rossellhayes.com", comment = c(ORCID = "0000-0001-9412-0457"))
Description: Offers a pipe-friendly alternative to the 'dplyr' functions case_when() and if_else(). These functions accept a vector as an optional first argument, allowing conditional statements to be built using the 'magrittr' dot operator. The functions also coerce all possible outputs to the same type, meaning you no longer have to worry about using specific typed variants of NA or explicitly declaring integer outputs.
License: MIT + file LICENSE
URL: https://incase.rossellhayes.com, https://github.com/rossellhayes/incase
BugReports: https://github.com/rossellhayes/incase/issues
Imports: magrittr, plu, rlang
Suggests: cli, covr, crayon, dplyr, testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-08 01:46:48 UTC; Alex
Author: Alexander Rossell Hayes [aut, cre, cph] (<https://orcid.org/0000-0001-9412-0457>)
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>
Repository: CRAN
Date/Publication: 2020-09-15 10:00:06 UTC

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New package image.textlinedetector with initial version 0.1.0
Package: image.textlinedetector
Type: Package
Title: Segment Images in Text Lines and Words
Version: 0.1.0
Maintainer: Jan Wijffels <jan.wijffels@vub.be>
Authors@R: c( person('Jan', 'Wijffels', role = c('aut', 'cre', 'cph'), email = 'jan.wijffels@vub.be', comment = "R wrapper"), person('Vrije Universiteit Brussel - DIGI: Brussels Platform for Digital Humanities', role = 'cph', comment = "R wrapper"), person("Jeroen", "Ooms", role = c("ctb", "cph"), comment = "More details in LICENSE.note file"), person("Arthur Flôr", role = c("ctb", "cph"), comment = "More details in LICENSE.note file"), person("Saverio Meucci", role = c("ctb", "cph"), comment = "More details in LICENSE.note file"), person("Yeara Kozlov", role = c("ctb", "cph"), comment = "More details in LICENSE.note file"), person("Tino Weinkauf", role = c("ctb", "cph"), comment = "More details in LICENSE.note file"))
Description: Find text lines in scanned images and segment the lines into words. Includes implementations of the paper 'Novel A* Path Planning Algorithm for Line Segmentation of Handwritten Documents' by Surinta O. et al (2014) <doi:10.1109/ICFHR.2014.37> available at <https://github.com/smeucci/LineSegm>, an implementation of 'A Statistical approach to line segmentation in handwritten documents' by Arivazhagan M. et al (2007) <doi:10.1117/12.704538>, and a wrapper for an image segmentation technique to detect words in text lines as described in the paper 'Scale Space Technique for Word Segmentation in Handwritten Documents' by Manmatha R. and Srimal N. (1999) paper at <doi:10.1007/3-540-48236-9_3>, wrapper for code available at <https://github.com/arthurflor23/text-segmentation>.
License: MIT + file LICENSE
URL: https://github.com/DIGI-VUB/image.textlinedetector
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 0.12.9), magick
Suggests: opencv
LinkingTo: Rcpp
SystemRequirements: C++11
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2020-09-07 13:43:09 UTC; Jan
Author: Jan Wijffels [aut, cre, cph] (R wrapper), Vrije Universiteit Brussel - DIGI: Brussels Platform for Digital Humanities [cph] (R wrapper), Jeroen Ooms [ctb, cph] (More details in LICENSE.note file), Arthur Flôr [ctb, cph] (More details in LICENSE.note file), Saverio Meucci [ctb, cph] (More details in LICENSE.note file), Yeara Kozlov [ctb, cph] (More details in LICENSE.note file), Tino Weinkauf [ctb, cph] (More details in LICENSE.note file)
Repository: CRAN
Date/Publication: 2020-09-15 09:20:02 UTC

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New package html2R with initial version 0.1.0
Package: html2R
Type: Package
Title: Convert 'HTML' to 'R' with a 'Shiny' App
Version: 0.1.0
Authors@R: c( person("Stéphane", "Laurent", email = "laurent_step@outlook.fr", role = c("aut","cre")), person("Chris", "Andrejewski", role = c("ctb","cph"), comment = "'Himalaya' library"), person("Boniface", "Pereira", role = c("ctb","cph"), comment = "'jquery-confirm' library"), person("Mario", "Heiderich", role = c("ctb","cph"), comment = "'DOMPurify' library") )
Description: Provides a 'Shiny' app allowing to convert 'HTML' code to 'R' code (e.g. '<span>Hello</span>' to 'tags$span("Hello")'), for usage in a 'Shiny' UI.
URL: https://github.com/stla/html2R
BugReports: https://github.com/stla/html2R/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: glue, shiny, shinyAce, shinythemes, shinyjqui, stats
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-08 01:04:33 UTC; stla
Author: Stéphane Laurent [aut, cre], Chris Andrejewski [ctb, cph] ('Himalaya' library), Boniface Pereira [ctb, cph] ('jquery-confirm' library), Mario Heiderich [ctb, cph] ('DOMPurify' library)
Maintainer: Stéphane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2020-09-15 09:50:02 UTC

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New package FuncNN with initial version 1.0
Package: FuncNN
Title: Functional Neural Networks
Version: 1.0
Authors@R: c( person("Richard", "Groenewald", role = "ctb"), person("Barinder", "Thind", email = "barinder.thi@gmail.com", role = c("aut", "cre", "cph")), person("Jiguo", "Cao", role = "aut"), person("Sidi Wu", role = "ctb") )
Description: A collection of functions which fit functional neural network models. In other words, this package will allow users to build deep learning models that have either functional or scalar responses paired with functional and scalar covariates. We implement the theoretical discussion found in Thind, Multani and Cao (2020) <arXiv:2006.09590> through the help of a main fitting and prediction function as well as a number of helper functions to assist with cross-validation, tuning, and the display of estimated functional weights.
Imports: keras, tensorflow, fda.usc, fda, ggplot2, ggpubr, caret, pbapply, reshape2, flux, doParallel, foreach, Matrix
URL: https://arxiv.org/abs/2006.09590, https://github.com/b-thi/FuncNN
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2020-09-07 23:52:53 UTC; Richard
Author: Richard Groenewald [ctb], Barinder Thind [aut, cre, cph], Jiguo Cao [aut], Sidi Wu [ctb]
Maintainer: Barinder Thind <barinder.thi@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-15 09:40:15 UTC

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New package ec50estimator with initial version 0.1.0
Package: ec50estimator
Type: Package
Title: An Automated Way to Estimate EC50 for Stratified Datasets
Version: 0.1.0
Date: 2020-09-07
Authors@R: c( person(given = "Kaique dos S.", family = "Alves", role = c("aut", "cre"), email = "kaiquedsalves@gmail.com", comment = c(ORCID = "0000-0001-9187-0252") ))
Maintainer: Kaique dos S. Alves <kaiquedsalves@gmail.com>
Description: An implementation for estimating Effective control to 50% of growth inhibition (EC50) for multi isolates and stratified datasets. It implements functions from the drc package in a way that is displayed a tidy data.frame as output. Info about the drc package is available in Ritz C, Baty F, Streibig JC, Gerhard D (2015) <doi:10.1371/journal.pone.0146021>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, tidyr, tibble, magrittr, drc
RoxygenNote: 7.0.2
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, ggplot2, ggridges, cowplot
URL: https://github.com/AlvesKS/ec50estimator
BugReports: https://github.com/AlvesKS/ec50estimator/issues
NeedsCompilation: no
Packaged: 2020-09-07 19:08:46 UTC; kai-q
Author: Kaique dos S. Alves [aut, cre] (<https://orcid.org/0000-0001-9187-0252>)
Repository: CRAN
Date/Publication: 2020-09-15 09:40:06 UTC

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New package crimeutils with initial version 0.1.0
Package: crimeutils
Title: A Comprehensive Set of Functions to Clean, Analyze, and Present Crime Data
Version: 0.1.0
Authors@R: person("Jacob", "Kaplan", email = "jkkaplan6@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-0601-0387"))
Description: A collection of functions that make it easier to understand crime (or other) data, and assist others in understanding it. The package helps you read data from various sources, clean it, fix column names, and graph the data.
Depends: R (>= 2.10)
Imports: dplyr, ggplot2, gridExtra, scales, magrittr, gt, grDevices, tidyr, stats, data.table, lubridate, janitor
License: MIT + file LICENSE
LazyData: TRUE
URL: https://github.com/jacobkap/crimeutils
BugReports: https://github.com/jacobkap/crimeutils/issues
RoxygenNote: 7.1.1
Suggests: spelling, testthat (>= 2.1.0), covr
Language: en-US
NeedsCompilation: no
Packaged: 2020-09-07 18:27:41 UTC; user
Author: Jacob Kaplan [aut, cre] (<https://orcid.org/0000-0002-0601-0387>)
Maintainer: Jacob Kaplan <jkkaplan6@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-15 09:40:11 UTC

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New package rater with initial version 1.0.0
Package: rater
Title: Fit Statistical Models of Repeated Categorical Rating Data
Version: 1.0.0
Authors@R: c(person("Jeffrey", "Pullin", role = c("aut", "cre"), email = "jeffrey.pullin@gmail.com", comment = c(ORCID = "0000-0003-3651-5471")), person("Damjan", "Vukcevic", role = c("aut"), comment = c(ORCID = "0000-0001-7780-9586")) )
Description: Fit statistical models based on the Dawid-Skene model - Dawid and Skene (1979) <doi:10.2307/2346806> - to repeated categorical rating data. Full Bayesian inference for these models is supported through the Stan modelling language. 'rater' also allows the user to extract and plot key parameters of these models.
License: GPL-2
URL: https://jeffreypullin.github.io/rater/, https://github.com/jeffreypullin/rater
BugReports: https://github.com/jeffreypullin/rater/issues
Encoding: UTF-8
LazyData: true
Biarch: true
Depends: R (>= 3.4.0)
Imports: methods, Rcpp (>= 0.12.0), rstan (>= 2.19.2), rstantools (>= 2.0.0), RcppParallel (>= 5.0.1), ggplot2 (>= 2.2.1), rlang (> 0.2.0)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), rstan (>= 2.18.1), StanHeaders (>= 2.18.0), RcppParallel (>= 5.0.1)
RoxygenNote: 7.1.1
Suggests: testthat, knitr, rmarkdown, covr
VignetteBuilder: knitr
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2020-09-07 09:28:15 UTC; jeffreypullin
Author: Jeffrey Pullin [aut, cre] (<https://orcid.org/0000-0003-3651-5471>), Damjan Vukcevic [aut] (<https://orcid.org/0000-0001-7780-9586>)
Maintainer: Jeffrey Pullin <jeffrey.pullin@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-15 08:40:03 UTC

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New package pdfboxr with initial version 2.0.19
Package: pdfboxr
Type: Package
Title: Interface to 'PDFBox'
Version: 2.0.19
Authors@R: c(person("Florian", "Schwendinger", role = c("aut", "cre"), email = "FlorianSchwendinger@gmx.at"), person("Benjamin", "Schwendinger", role = c("aut")), person("Apache", "Software Foundation", role = c("ctb", "cph"), comment = "Apache PDFBox Java library"))
Description: Interface to the 'Apache' 'PDFBox' library <https://pdfbox.apache.org/>. 'PDFBox' is an open source 'Java' tool for working with 'PDF' documents. Currently 'pdfboxr' only implements functions to extract data from 'PDF'-files.
Imports: checkmate, rJava (>= 0.9-6)
SystemRequirements: Java (>= 8)
License: GPL-3
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-07 11:16:24 UTC; f
Author: Florian Schwendinger [aut, cre], Benjamin Schwendinger [aut], Apache Software Foundation [ctb, cph] (Apache PDFBox Java library)
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>
Repository: CRAN
Date/Publication: 2020-09-15 08:40:08 UTC

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New package onlineforecast with initial version 0.9.3
Package: onlineforecast
Type: Package
Title: Forecast Modelling for Online Applications
Version: 0.9.3
Description: A framework for fitting adaptive forecasting models. Provides a way to use forecasts as input to models, e.g. weather forecasts for energy related forecasting. The models can be fitted recursively and can easily be setup for updating parameters when new data arrives. See the included vignettes, the website <https://onlineforecasting.org> and the paper "Short-term heat load forecasting for single family houses" <doi:10.1016/j.enbuild.2013.04.022>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Authors@R: c( person("Peder", "Bacher", email="pbac@dtu.dk", role = "cre"), person("Hjorleifur G", "Bergsteinsson", email="hgbe@dtu.dk", role = "aut"))
Depends: R (>= 3.0.0)
Imports: Rcpp (>= 0.12.18), R6 (>= 2.2.2), splines (>= 3.1.1), pbs, digest
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, R.rsp, testthat (>= 2.1.0), data.table, plotly
VignetteBuilder: knitr
RoxygenNote: 7.1.1
URL: https://onlineforecasting.org
BugReports: https://lab.compute.dtu.dk/packages/onlineforecast/-/issues
NeedsCompilation: yes
Packaged: 2020-09-07 11:14:57 UTC; pbac
Author: Peder Bacher [cre], Hjorleifur G Bergsteinsson [aut]
Maintainer: Peder Bacher <pbac@dtu.dk>
Repository: CRAN
Date/Publication: 2020-09-15 08:50:02 UTC

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New package eatATA with initial version 0.7.0
Package: eatATA
Type: Package
Title: Create Constraints for Small Test Assembly Problems
Version: 0.7.0
Authors@R: c( person("Benjamin", "Becker", email = "b.becker@iqb.hu-berlin.de", role = c("aut", "cre")), person("Dries", "Debeer", email = "dries.debeer@kuleuven.be", role = c("aut")))
Description: Provides simple functions to create constraints for small test assembly problems (e.g. van der Linden (2005, ISBN: 978-0-387-29054-6)) using sparse matrices. Currently, only 'Gurobi' is supported as an optimizer.
License: GPL
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: Matrix
RoxygenNote: 7.1.0
Suggests: testthat (>= 2.1.0), covr, knitr, rmarkdown, readxl
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-07 07:49:34 UTC; benjb
Author: Benjamin Becker [aut, cre], Dries Debeer [aut]
Maintainer: Benjamin Becker <b.becker@iqb.hu-berlin.de>
Repository: CRAN
Date/Publication: 2020-09-15 08:30:03 UTC

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Mon, 14 Sep 2020

New package ROI.plugin.osqp with initial version 1.0-0
Package: ROI.plugin.osqp
Version: 1.0-0
Title: 'osqp' Plugin for the 'R' Optimization Infrastructure
Authors@R: person("Florian", "Schwendinger", role = c("aut", "cre"), email = "FlorianSchwendinger@gmx.at")
Description: Enhances the 'R' Optimization Infrastructure ('ROI') package with the quadratic solver 'OSQP'. More information about 'OSQP' can be found at <https://osqp.org>.
Imports: methods, slam, ROI (>= 0.2-5), osqp, Matrix
License: GPL-3
URL: http://roi.r-forge.r-project.org/, https://r-forge.r-project.org/projects/roi/
NeedsCompilation: no
Packaged: 2020-09-05 12:12:08 UTC; f
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>
Repository: CRAN
Date/Publication: 2020-09-14 10:20:03 UTC

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New package slanter with initial version 0.1-0
Package: slanter
Version: 0.1-0
Date: 2020-08-13
Title: Slanted Matrices and Ordered Clustering
Description: Slanted matrices and ordered clustering for better visualization of similarity data.
Authors@R: c( person("Oren", "Ben-Kiki", email="oren@ben-kiki.org", role=c("aut", "cre")), person("Weizmann Institute of Science", role="cph") )
RoxygenNote: 6.1.1
Encoding: UTF-8
License: MIT + file LICENSE
Imports: Matrix, pheatmap, pracma, stats
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-05 07:49:52 UTC; obk
Author: Oren Ben-Kiki [aut, cre], Weizmann Institute of Science [cph]
Maintainer: Oren Ben-Kiki <oren@ben-kiki.org>
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2020-09-14 09:10:03 UTC

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New package rsBayes with initial version 0.1.0
Package: rsBayes
Title: Bayesian Models for Remotely Sensed Data
Version: 0.1.0
Date: 2020-09-04
Authors@R: c(person("Andrew", "Finley", role=c("aut", "cre"), email="finleya@msu.edu"), person("Chad", "Babcock", role="aut", email="cbabcock@umn.edu"))
Author: Andrew Finley [aut, cre], Chad Babcock [aut]
Maintainer: Andrew Finley <finleya@msu.edu>
Description: Models and associated tools for Bayesian inference of remotely sensed variables.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0)
LazyData: true
Imports: coda
NeedsCompilation: yes
RoxygenNote: 7.0.2
Packaged: 2020-09-05 17:02:26 UTC; andy
Repository: CRAN
Date/Publication: 2020-09-14 09:40:02 UTC

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New package GARCHIto with initial version 0.1.0
Package: GARCHIto
Type: Package
Title: Class of GARCH-Ito Models
Version: 0.1.0
Author: Xinyu Song
Maintainer: Xinyu Song <song.xinyu@mail.shufe.edu.cn>
Description: Provides functions to estimate model parameters and forecast future volatilities using the Unified GARCH-Ito [Kim and Wang (2016) <doi:10.1016/j.jeconom.2016.05.003>] and Realized GARCH-Ito [Song et. al. (2020) <doi:10.1016/j.jeconom.2020.07.007>] models. Optimization is done using augmented Lagrange multiplier method.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: Rsolnp, stats
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-05 07:43:14 UTC; cindysong
Repository: CRAN
Date/Publication: 2020-09-14 09:10:14 UTC

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New package shinyMergely with initial version 0.1.0
Package: shinyMergely
Type: Package
Title: Compare and Merge Two Files with a 'Shiny' App
Version: 0.1.0
Authors@R: c( person(given = "Stéphane", family = "Laurent", role = c("aut", "cre"), email = "laurent_step@outlook.fr"), person(given = "Jamie", family = "Peabody", role = c("ctb", "cph"), comment = "Mergely"), person(given = "Marijn", family = "Haverbeke", role = c("ctb", "cph"), comment = "CodeMirror"), person(given = "Leandro", family = "Vital", role = c("ctb", "cph"), comment = "Bootstrap Flash Alert"), person(given = "Daniel", family = "Eden", role = c("ctb", "cph"), comment = "animate.css") )
Description: A 'Shiny' app allowing to compare and merge two files, with syntax highlighting for several coding languages.
URL: https://github.com/stla/shinyMergely
BugReports: https://github.com/stla/shinyMergely/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: shiny
Suggests: shinyjqui, shinythemes, tools, uchardet
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-04 15:40:51 UTC; stla
Author: Stéphane Laurent [aut, cre], Jamie Peabody [ctb, cph] (Mergely), Marijn Haverbeke [ctb, cph] (CodeMirror), Leandro Vital [ctb, cph] (Bootstrap Flash Alert), Daniel Eden [ctb, cph] (animate.css)
Maintainer: Stéphane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2020-09-14 08:30:03 UTC

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New package ripserr with initial version 0.1.0
Package: ripserr
Title: Calculate Persistent Homology with Ripser-Based Engines
Version: 0.1.0
Authors@R: c(person(given = "Raoul", family = "Wadhwa", role = c("aut", "cre"), email = "raoulwadhwa@gmail.com", comment = c(ORCID = "0000-0003-0503-9580")), person(given = "Matt", family = "Piekenbrock", role = "aut", email = "matt.piekenbrock@gmail.com"), person(given = "Jacob", family = "Scott", role = "aut", comment = c(ORCID = "0000-0003-2971-7673")), person(given = "Takeki", family = "Sudo", role = c("cph", "ctb"), comment = paste("Takeki Sudo is a copyright holder for Cubical", "Ripser (GPL-3 license), which was refactored", "prior to inclusion in ripserr.")), person(given = "Kazushi", family = "Ahara", role = c("cph", "ctb"), comment = paste("Kazushi Ahara is a copyright holder for Cubical", "Ripser (GPL-3 license), which was refactored", "prior to inclusion in ripserr.")), person(given = "Ulrich", family = "Bauer", role = c("cph", "ctb"), comment = paste("Ulrich Bauer holds the copyright to Ripser", "(MIT license), which was refactored prior", "to inclusion in ripserr.")))
Description: Ports the Ripser <arXiv:1908.02518> and Cubical Ripser <arXiv:2005.12692> persistent homology calculation engines from C++. Can be used as a rapid calculation tool in topological data analysis pipelines.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
URL: https://github.com/rrrlw/ripserr
BugReports: https://github.com/rrrlw/ripserr/issues
LinkingTo: Rcpp
Depends: R (>= 3.5.0)
Imports: methods (>= 3.0), Rcpp (>= 1.0), stats (>= 3.0)
SystemRequirements: C++11
Suggests: testthat (>= 2.3), covr (>= 3.5), knitr (>= 1.29), rmarkdown (>= 2.3), TDAstats (>= 0.4)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-09-04 21:14:56 UTC; wadhwar
Author: Raoul Wadhwa [aut, cre] (<https://orcid.org/0000-0003-0503-9580>), Matt Piekenbrock [aut], Jacob Scott [aut] (<https://orcid.org/0000-0003-2971-7673>), Takeki Sudo [cph, ctb] (Takeki Sudo is a copyright holder for Cubical Ripser (GPL-3 license), which was refactored prior to inclusion in ripserr.), Kazushi Ahara [cph, ctb] (Kazushi Ahara is a copyright holder for Cubical Ripser (GPL-3 license), which was refactored prior to inclusion in ripserr.), Ulrich Bauer [cph, ctb] (Ulrich Bauer holds the copyright to Ripser (MIT license), which was refactored prior to inclusion in ripserr.)
Maintainer: Raoul Wadhwa <raoulwadhwa@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-14 08:50:03 UTC

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New package binsegRcpp with initial version 2020.9.3
Package: binsegRcpp
Type: Package
Title: Efficient Implementation of Binary Segmentation
Version: 2020.9.3
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>
Description: Standard template library containers are used to implement an efficient binary segmentation algorithm, which is log-linear on average and quadratic in the worst case.
License: GPL-3
LinkingTo: Rcpp
URL: https://github.com/tdhock/binseg
BugReports: https://github.com/tdhock/binseg/issues
Imports: data.table, Rcpp
Suggests: ggplot2, testthat
NeedsCompilation: yes
Packaged: 2020-09-04 17:27:51 UTC; tdhock
Repository: CRAN
Date/Publication: 2020-09-14 08:30:07 UTC

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Sun, 13 Sep 2020

New package MALDIrppa with initial version 1.0.5
Package: MALDIrppa
Type: Package
Title: MALDI Mass Spectrometry Data Robust Pre-Processing and Analysis
Version: 1.0.5
Authors@R: c(person(given = "Javier", family = "Palarea-Albaladejo", role = c("cre","aut"), email = "javier.palarea@bioss.ac.uk", comment = c(ORCID = "0000-0003-0162-669X")), person(given = "Paolo", family = "Ribeca", role = c("ctb"), email = "paolo.ribeca@bioss.ac.uk", comment = c(ORCID = "0000-0001-5599-3933")), person(given = "William", family = "Constantine", role = c("ctb"), comment = "Author of original C code used in archived wtmsa and ifultools R packages."), person(given = "Keith L.", family = "Davidson", role = c("ctb"), comment = "Author of original C code used in archived wtmsa and ifultools R packages."), person(given = "Insightful Corp.", role = c("cph"), comment = "Copyright holder named in some original C code used in archived wtmsa and ifultools R packages.") )
Date: 2020-08-21
Maintainer: Javier Palarea-Albaladejo <javier.palarea@bioss.ac.uk>
Depends: R (>= 3.2.5), MALDIquant, signal, robustbase, lattice
ByteCompile: yes
Description: Provides methods for quality control and robust pre-processing and analysis of MALDI mass spectrometry data (Palarea-Albaladejo et al. (2018) <doi:10.1093/bioinformatics/btx628>).
License: GPL (>= 2)
Repository: CRAN
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-09-11 10:10:31 UTC; Japal
Author: Javier Palarea-Albaladejo [cre, aut] (<https://orcid.org/0000-0003-0162-669X>), Paolo Ribeca [ctb] (<https://orcid.org/0000-0001-5599-3933>), William Constantine [ctb] (Author of original C code used in archived wtmsa and ifultools R packages.), Keith L. Davidson [ctb] (Author of original C code used in archived wtmsa and ifultools R packages.), Insightful Corp. [cph] (Copyright holder named in some original C code used in archived wtmsa and ifultools R packages.)
Date/Publication: 2020-09-13 21:40:06 UTC

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New package autoFRK with initial version 1.3.3
Package: autoFRK
Type: Package
Title: Automatic Fixed Rank Kriging
Description: Automatic fixed rank kriging for (irregularly located) spatial data using a class of basis functions with multi-resolution features and ordered in terms of their resolutions. The model parameters are estimated by maximum likelihood (ML) and the number of basis functions is determined by Akaike's information criterion (AIC). For spatial data with either one realization or independent replicates, the ML estimates and AIC are efficiently computed using their closed-form expressions when no missing value occurs. Details regarding the basis function construction, parameter estimation, and AIC calculation can be found in Tzeng and Huang (2018) <doi:10.1080/00401706.2017.1345701>. For data with missing values, the ML estimates are obtained using the expectation- maximization algorithm. Apart from the number of basis functions, there are no other tuning parameters, making the method fully automatic. Users can also include a stationary structure in the spatial covariance, which utilizes 'LatticeKrig' package.
License: GPL (>= 2)
Version: 1.3.3
Date: 2020-09-09
Depends: R (>= 3.1), spam
Imports: fields (>= 6.9.1), filehashSQLite, filehash, MASS, mgcv, LatticeKrig (>= 5.4), FNN, filematrix, Rcpp, methods
LinkingTo: Rcpp, RSpectra, RcppEigen, RcppParallel
Author: ShengLi Tzeng [aut, cre], Hsin-Cheng Huang [aut], Wen-Ting Wang [ctb], Douglas Nychka [ctb], Colin Gillespie [ctb]
Maintainer: ShengLi Tzeng <slt.cmu@gmail.com>
NeedsCompilation: yes
Date/Publication: 2020-09-13 15:20:07 UTC
Packaged: 2020-09-10 00:59:58 UTC; h0h1
Repository: CRAN

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New package TSA with initial version 1.3
Package: TSA
Type: Package
Title: Time Series Analysis
Version: 1.3
Date: 2020-9-11
Author: Kung-Sik Chan, Brian Ripley
Maintainer: Kung-Sik Chan <kungsik.chan@gmail.com>
Depends: R (>= 2.5.1)
Imports: leaps, locfit, mgcv, tseries
Description: Contains R functions and datasets detailed in the book "Time Series Analysis with Applications in R (second edition)" by Jonathan Cryer and Kung-Sik Chan.
License: GPL (>= 2)
URL: https://stat.uiowa.edu/~kchan/TSA.htm
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-11 18:23:18 UTC; kchan
Repository: CRAN
Date/Publication: 2020-09-13 15:00:11 UTC

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Fri, 11 Sep 2020

New package sparseFLMM with initial version 0.3.1
Package: sparseFLMM
Type: Package
Title: Functional Linear Mixed Models for Irregularly or Sparsely Sampled Data
Version: 0.3.1
Author: Jona Cederbaum
Maintainer: Jona Cederbaum <Jona.Cederbaum@gmail.com>
Description: Estimation of functional linear mixed models for irregularly or sparsely sampled data based on functional principal component analysis.
License: GPL-2
LazyData: TRUE
Depends: R (>= 3.3), mgcv (>= 1.8-12), refund (>= 0.1-22)
Imports: methods, parallel, MASS, Matrix, data.table
Suggests:
Collate: 'call_all_functions.R' 'cov_estimation_tri.R' 'cov_estimation_tri_constr.R' 'cov_estimation_whole.R' 'fpc_estimation.R' 'fpc_famm_estimation.R' 'get_cross_products.R' 'mean_estimation.R' 'tri_constraint_constructor.R' 'useful_functions.R' 'zzz.R'
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-11 11:11:30 UTC; Jona
Repository: CRAN
Date/Publication: 2020-09-11 12:20:02 UTC

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New package ads with initial version 1.5-4
Package: ads
Type: Package
Title: Spatial Point Patterns Analysis
Version: 1.5-4
Date: 2020-09-11
Author: R. Pelissier and F. Goreaud
Maintainer: Raphael Pelissier <Raphael.Pelissier@ird.fr>
Imports: ade4, spatstat, spatstat.utils, spatstat.data
Description: Perform first- and second-order multi-scale analyses derived from Ripley K-function (Ripley B. D. (1977) <doi:10.1111/j.2517-6161.1977.tb01615.x>), for univariate, multivariate and marked mapped data in rectangular, circular or irregular shaped sampling windows, with tests of statistical significance based on Monte Carlo simulations.
Depends: R (>= 3.5.0)
License: GPL-2
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2020-09-11 12:20:07 UTC
Packaged: 2020-09-11 11:19:29 UTC; rpelissier
RoxygenNote: 7.1.1

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New package tsrobprep with initial version 0.0.0.1
Package: tsrobprep
Title: Robust Preprocessing of Time Series Data
Version: 0.0.0.1
Date: 2020-08-17
Authors@R: c( person(given = "Michał", family = "Narajewski", role = c("aut", "cre"), email = "michal.narajewski@uni-due.de", comment = c(ORCID = "https://orcid.org/0000-0002-3115-0162")), person(given = "Florian", family = "Ziel", role = "aut", email = "florian.ziel@uni-due.de", comment = c(ORCID = "https://orcid.org/0000-0002-2974-2660")), person(given = "Jens", family = "Kley-Holsteg", role = "ctb", email = "jens.kley-holsteg@hs-ruhrwest.de"))
Description: Methods for handling the missing values outliers are introduced in this package. The recognized missing values and outliers are replaced using a model-based approach. The model may consist of both autoregressive components and external regressors. The methods work robust and efficient, and they are fully tunable. The primary motivation for writing the package was preprocessing of the energy systems data, e.g. power plant production time series, but the package could be used with any time series data.
Depends: R (>= 3.2.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Matrix, quantreg
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-04 07:55:24 UTC; michal
Author: Michał Narajewski [aut, cre] (<https://orcid.org/0000-0002-3115-0162>), Florian Ziel [aut] (<https://orcid.org/0000-0002-2974-2660>), Jens Kley-Holsteg [ctb]
Maintainer: Michał Narajewski <michal.narajewski@uni-due.de>
Repository: CRAN
Date/Publication: 2020-09-11 09:20:03 UTC

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New package tidyseurat with initial version 0.1.6
Type: Package
Package: tidyseurat
Title: Brings Seurat to the Tidyverse
Version: 0.1.6
Authors@R: c(person("Stefano", "Mangiola", email = "mangiolastefano@gmail.com", role = c("aut", "cre")), person("Maria", "Doyle", email = "Maria.Doyle@petermac.org", role = c("ctb")) )
Description: It creates an invisible layer that allow to see the 'Seurat' object as tibble and interact seamlessly with the tidyverse.
License: GPL-3
Depends: R (>= 3.6.0), Seurat
Imports: tibble, dplyr, magrittr, tidyr, ggplot2, rlang, purrr, lifecycle, methods, plotly, ellipsis, tidyselect, utils
Suggests: BiocStyle, testthat, knitr, GGally, markdown, SingleCellSignalR
VignetteBuilder: knitr
RdMacros: lifecycle
Biarch: true
biocViews: AssayDomain, Infrastructure, RNASeq, DifferentialExpression, GeneExpression, Normalization, Clustering, QualityControl, Sequencing, Transcription, Transcriptomics
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-11 04:48:40 UTC; mangiola.s
Author: Stefano Mangiola [aut, cre], Maria Doyle [ctb]
Maintainer: Stefano Mangiola <mangiolastefano@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-11 09:50:03 UTC

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New package SimSurvNMarker with initial version 0.1.0
Package: SimSurvNMarker
Type: Package
Title: Simulate Survival Time and Markers
Version: 0.1.0
Authors@R: c(person("Benjamin", "Christoffersen", email = "boennecd@gmail.com", role = c("cre", "aut")), person("Mark", "Clements", role = "cph"), person("Ignace", "Bogaert", role = "cph"))
Maintainer: Benjamin Christoffersen <boennecd@gmail.com>
Description: Provides functions to simulate from joint survival and marker models. The user can specific all basis functions of time, random or deterministic covariates, random or deterministic left-truncation and right-censoring times, and model parameters.
License: GPL-2
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 2.1.0), splines, R.rsp
RoxygenNote: 7.1.1
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp
SystemRequirements: C++14
VignetteBuilder: R.rsp
NeedsCompilation: yes
Packaged: 2020-09-04 12:02:54 UTC; boennecd
Author: Benjamin Christoffersen [cre, aut], Mark Clements [cph], Ignace Bogaert [cph]
Repository: CRAN
Date/Publication: 2020-09-11 09:50:11 UTC

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New package procmaps with initial version 0.0.1
Package: procmaps
Title: Portable Address Space Mapping
Version: 0.0.1
Date: 2020-09-03
Authors@R: c(person(given = "Kirill", family = "M\u00fcller", role = c("aut", "cre"), email = "krlmlr+r@mailbox.org", comment = c(ORCID = "0000-0002-1416-3412")), person(given = "R Consortium", role = "fnd"), person(given = "Kostya", family = "Serebryany", role = "ctb", comment = "Bundled gperftools library"), person(given = "Sanjay", family = "Ghemawat", role = "ctb", comment = "Bundled gperftools library"), person(given = "Craig", family = "Silverstein", role = "ctb", comment = "Bundled gperftools library"), person(family = "Google Inc.", role = "cph", comment = "Bundled gperftools library"))
Description: Portable '/proc/self/maps' as a data frame. Determine which library or other region is mapped to a specific address of a process. -- R packages can contain native code, compiled to shared libraries at build or installation time. When loaded, each shared library occupies a portion of the address space of the main process. When only a machine instruction pointer is available (e.g. from a backtrace during error inspection or profiling), the address space map determines which library this instruction pointer corresponds to.
License: GPL-3
URL: https://r-prof.github.io/procmaps/, https://github.com/r-prof/procmaps
BugReports: https://github.com/r-prof/procmaps/issues
Suggests: covr, testthat, tibble
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1.9000
SystemRequirements: GNU make, gcc (>= 5) or clang
NeedsCompilation: yes
Packaged: 2020-09-11 02:29:29 UTC; kirill
Author: Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>), R Consortium [fnd], Kostya Serebryany [ctb] (Bundled gperftools library), Sanjay Ghemawat [ctb] (Bundled gperftools library), Craig Silverstein [ctb] (Bundled gperftools library), Google Inc. [cph] (Bundled gperftools library)
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>
Repository: CRAN
Date/Publication: 2020-09-11 09:50:06 UTC

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New package miic with initial version 1.5.0
Package: miic
Title: Learning Causal or Non-Causal Graphical Models Using Information Theory
Version: 1.5.0
Authors@R: c(person(given = "Vincent", family = "Cabeli", role = c("aut", "cre"), email = "vincent.cabeli@curie.fr"), person(given = "Honghao", family = "Li", role = "aut", email = "honghao.li@curie.fr"), person(given = "Marcel", family = "Ribeiro Dantas", role = "aut", email = "marcel.ribeiro-dantas@curie.fr"), person(given = "Nadir", family = "Sella", role = "aut", email = "nadir.sella@curie.fr"), person(given = "Louis", family = "Verny", role = "aut"), person(given = "Severine", family = "Affeldt", role = "aut"), person(given = "Hervé", family = "Isambert", role = "aut", email = "Herve.Isambert@curie.fr"))
Description: We report an information-theoretic method which learns a large class of causal or non-causal graphical models from purely observational data, while including the effects of unobserved latent variables, commonly found in many datasets. Starting from a complete graph, the method iteratively removes dispensable edges, by uncovering significant information contributions from indirect paths, and assesses edge-specific confidences from randomization of available data. The remaining edges are then oriented based on the signature of causality in observational data. This approach can be applied on a wide range of datasets and provide new biological insights on regulatory networks from single cell expression data, genomic alterations during tumor development and co-evolving residues in protein structures. For more information you can refer to: Cabeli et al. PLoS Comp. Bio. 2020 <doi:10.1371/journal.pcbi.1007866>, Verny et al. PLoS Comp. Bio. 2017 <doi:10.1371/journal.pcbi.1005662>.
License: GPL (>= 2)
URL: https://github.com/miicTeam/miic_R_package
BugReports: https://github.com/miicTeam/miic_R_package/issues
Imports: ppcor, Rcpp, scales, stats,
Suggests: igraph, grDevices, ggplot2 (>= 3.3.0), gridExtra
LinkingTo: Rcpp
SystemRequirements: C++14
LazyData: true
Encoding: UTF-8
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2020-09-04 10:49:38 UTC; vcabeli
Author: Vincent Cabeli [aut, cre], Honghao Li [aut], Marcel Ribeiro Dantas [aut], Nadir Sella [aut], Louis Verny [aut], Severine Affeldt [aut], Hervé Isambert [aut]
Maintainer: Vincent Cabeli <vincent.cabeli@curie.fr>
Repository: CRAN
Date/Publication: 2020-09-11 09:40:02 UTC

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New package FactorCopula with initial version 0.5
Package: FactorCopula
Version: 0.5
Date: 2020-08-30
Title: Factor Copula Models for Mixed Continuous and Discrete Data
Authors@R: c(person("Sayed H.", "Kadhem", role = c("aut","cre"), email = "s.kadhem@uea.ac.uk"), person("Aristidis K.", "Nikoloulopoulos", role = c("aut"), email = "a.nikoloulopoulos@uea.ac.uk"))
Author: Sayed H. Kadhem [aut, cre], Aristidis K. Nikoloulopoulos [aut]
Maintainer: Sayed H. Kadhem <s.kadhem@uea.ac.uk>
Depends: R (>= 3.5.0), statmod, abind, utils, polycor
Description: Estimation, model selection and goodness-of-fit of factor copula models for mixed continuous and discrete data in Kadhem and Nikoloulopoulos (2019) <arXiv:1907.07395>.
License: GPL (>= 2)
Packaged: 2020-09-04 11:19:42 UTC; aris
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2020-09-11 09:40:11 UTC

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New package bmotif with initial version 2.0.2
Package: bmotif
Title: Motif Analyses of Bipartite Networks
Version: 2.0.2
Date: 2020-09-04
Authors@R: c( person("Benno", "Simmons", email = "benno.simmons@gmail.com", role = c("aut", "cre")), person("Michelle", "Sweering", email = "michelle.sweering@gmail.com", role = c("aut")), person("Maybritt", "Schillinger", email = "maybritt.schillinger@gmail.com", role = c("aut")), person("Riccardo", "Di Clemente", email = "rdicle@mit.edu", role = c("aut")))
Description: Counts occurrences of motifs in bipartite networks, as well as the number of times each node or link appears in each unique position within motifs. Has support for both binary and weighted motifs: can calculate the mean weight of motifs and the standard deviation of their mean weights. Intended for use in ecology, but its methods are general and can be applied to any bipartite network. Full details are given in Simmons et al. (2019) <doi:10.1111/2041-210X.13149>.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: tensor (>= 1.5), Rcpp (>= 0.12.18), reshape2 (>= 1.4.3), gtools (>= 3.8.1), stats (>= 3.5.0)
Suggests: testthat, knitr, rmarkdown
LinkingTo: Rcpp
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: yes
Packaged: 2020-09-04 10:20:35 UTC; bennosimmons
Author: Benno Simmons [aut, cre], Michelle Sweering [aut], Maybritt Schillinger [aut], Riccardo Di Clemente [aut]
Maintainer: Benno Simmons <benno.simmons@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-11 09:40:06 UTC

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New package NNbenchmark with initial version 3.1.6
Package: NNbenchmark
Title: Datasets and Functions to Benchmark Neural Network Packages
Description: Datasets and functions to benchmark (convergence, speed, ease of use) R packages dedicated to regression with neural networks (no classification in this version). The templates for the tested packages are available in the format of R, R Markdown and HTML files at <https://github.com/pkR-pkR/NNbenchmarkTemplates> and <https://akshajverma.com/NNbenchmarkWeb/index.html>.
Imports: R6, pkgload
Suggests: brnn, validann
Depends: R (>= 3.5.0)
Version: 3.1.6
Date: 2020-09-07
License: GPL-2
Maintainer: Patrice Kiener <rpackages@inmodelia.com>
Author: Patrice Kiener [aut, cre] (<https://orcid.org/0000-0002-0505-9920>), Christophe Dutang [aut] (<https://orcid.org/0000-0001-6732-1501>), Salsabila Mahdi [aut], Akshaj Verma [aut], Yifu Yan [ctb]
Authors@R: c( person("Patrice", "Kiener", role = c("aut", "cre"), email = "rpackages@inmodelia.com", comment = c(ORCID = "0000-0002-0505-9920")), person("Christophe", "Dutang", role = "aut", email = "christophe.dutang@ensimag.fr", comment = c(ORCID = "0000-0001-6732-1501")), person("Salsabila", "Mahdi", role = "aut", email = "bila.mahdi@mhs.unsyiah.ac.id"), person("Akshaj", "Verma", role = "aut", email = "akshajverma7@gmail.com"), person("Yifu", "Yan", role = "ctb", email = "yanyifu94@hotmail.com") )
Encoding: UTF-8
NeedsCompilation: no
LazyData: true
RoxygenNote: 7.1.1
Packaged: 2020-09-07 10:36:56 UTC; Patrice
Repository: CRAN
Date/Publication: 2020-09-11 08:10:13 UTC

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New package ivitr with initial version 0.1.0
Package: ivitr
Type: Package
Title: Estimate IV-Optimal Individualized Treatment Rules
Version: 0.1.0
Author: Bo Zhang
Maintainer: Bo Zhang <bozhan@wharton.upenn.edu>
Description: A method that estimates an IV-optimal individualized treatment rule. An individualized treatment rule is said to be IV-optimal if it minimizes the maximum risk with respect to the putative IV and the set of IV identification assumptions. Please refer to <arXiv:2002.02579> for more details on the methodology and some theory underpinning the method. Function IV-PILE() uses functions in the package 'locClass'. Package 'locClass' can be accessed and installed from the 'R-Forge' repository via the following link: <https://r-forge.r-project.org/projects/locclass/>. Alternatively, one can install the package by entering the following in R: 'install.packages("locClass", repos="<http://R-Forge.R-project.org>")'.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: R (>= 2.10)
Suggests: locClass
Imports: stats, nnet, randomForest, dplyr, rlang
NeedsCompilation: no
Packaged: 2020-09-03 19:15:08 UTC; ASUS
Repository: CRAN
Date/Publication: 2020-09-11 08:40:03 UTC

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New package gconsensus with initial version 0.1.2
Package: gconsensus
Type: Package
Title: Consensus Value Constructor
Version: 0.1.2
Date: 2020-08-15
Author: Hugo Gasca-Aragon
Maintainer: Hugo Gasca-Aragon <hugo_gasca_aragon@hotmail.com>
Description: An implementation of the International Bureau of Weights and Measures (BIPM) generalized consensus estimators used to assign the reference value in a key comparison exercise. This can also be applied to any interlaboratory study. Given a set of different sources, primary laboratories or measurement methods this package provides an evaluation of the variance components according to the selected statistical method for consensus building. It also implements the comparison among different consensus builders and evaluates the participating method or sources against the consensus reference value. Based on a diverse set of references, Graybill-Deal (1959) <doi:10.2307/2527652>, DerSimonian-Laird (1986) <doi:10.1016/0197-2456(86)90046-2>, Vangel-Ruhkin (1999) <doi:10.1111/j.0006-341X.1999.00129.x>, for a complete list of references look at the reference section in the package documentation.
Depends: R (>= 3.4.0), graphics (>= 3.4.0), stats (>= 3.4.0), MASS (>= 7.0), utils (>= 3.4.4)
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-09-02 02:38:54 UTC; hgasca
Repository: CRAN
Date/Publication: 2020-09-11 08:40:07 UTC

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Thu, 10 Sep 2020

New package Tplyr with initial version 0.1.1
Package: Tplyr
Title: A Grammar of Clinical Data Summary
Version: 0.1.1
Authors@R: c( person(given = "Eli", family = "Miller", role = "aut", email = "Eli.Miller@AtorusResearch.com", comment = c(ORCID = "0000-0002-2127-9456")), person(given = "Mike", family = "Stackhouse", role = c("aut", "cre"), email = "mike.stackhouse@atorusresearch.com", comment = c(ORCID = "0000-0001-6030-723X")), person(given = "Ashley", family = "Tarasiewicz", email = "Ashley.Tarasiewicz@atorusresearch.com", role = "aut"), person(given = "Nathan", family = "Kosiba", email = "Nathan.Kosiba@atorusresearch.com", role = "aut", comment = c(ORCID = "0000-0001-5359-4234")), person(given = "Atorus Research LLC", role = "cph") )
Description: A tool created to simplify the data manipulation necessary to create clinical reports.
License: MIT + file LICENSE
URL: https://github.com/atorus-research/Tplyr
BugReports: https://github.com/atorus-research/Tplyr/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: rlang (>= 0.4.6), assertthat (>= 0.2.1), magrittr (>= 1.5), dplyr (>= 0.8.4), purrr (>= 0.3.3), stringr (>= 1.4.0), tidyr (>= 1.0.2), tidyselect (>= 1.0.0), tibble (>= 3.0.1), lifecycle, forcats (>= 0.4.0)
Suggests: testthat (>= 2.1.0), haven (>= 2.2.0), knitr, rmarkdown, huxtable, tidyverse, readr, kableExtra, pharmaRTF
VignetteBuilder: knitr
RoxygenNote: 7.0.2
RdMacros: lifecycle
NeedsCompilation: no
Packaged: 2020-09-01 14:24:02 UTC; emiller
Author: Eli Miller [aut] (<https://orcid.org/0000-0002-2127-9456>), Mike Stackhouse [aut, cre] (<https://orcid.org/0000-0001-6030-723X>), Ashley Tarasiewicz [aut], Nathan Kosiba [aut] (<https://orcid.org/0000-0001-5359-4234>), Atorus Research LLC [cph]
Maintainer: Mike Stackhouse <mike.stackhouse@atorusresearch.com>
Repository: CRAN
Date/Publication: 2020-09-10 14:20:07 UTC

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New package qbld with initial version 1.0
Package: qbld
Type: Package
Title: Quantile Regression for Binary Longitudinal Data
Version: 1.0
Date: 2020-08-17
Author: Ayush Agarwal [aut, cre], Dootika Vats [ctb]
Maintainer: Ayush Agarwal<ayush.agarwal50@gmail.com>
Description: Implements the Bayesian quantile regression model for binary longitudinal data (QBLD) developed in Rahman and Vossmeyer (2019) <DOI:10.1108/S0731-90532019000040B009>. The model handles both fixed and random effects and implements both a blocked and an unblocked Gibbs sampler for posterior inference.
License: GPL-3
Imports: Rcpp, stats, grDevices, graphics, mcmcse, stableGR, RcppDist, knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo, RcppDist
Depends: R (>= 3.5)
Encoding: UTF-8
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2020-09-03 07:18:40 UTC; mclaren
Repository: CRAN
Date/Publication: 2020-09-10 14:10:03 UTC

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New package mirtsvd with initial version 1.0
Package: mirtsvd
Title: SVD-Based Estimation for Exploratory Item Factor Analysis
Version: 1.0
Authors@R: c( person(given = "Haoran", family = "Zhang", role = c("aut", "cre"), email = "hrzhang16@gmail.com"), person("Yunxiao", "Chen", role = "aut"), person("Xiaoou", "Li", role = "aut") )
Author: Haoran Zhang [aut, cre], Yunxiao Chen [aut], Xiaoou Li [aut]
Maintainer: Haoran Zhang <hrzhang16@gmail.com>
Description: Provides singular value decomposition based estimation algorithms for exploratory item factor analysis (IFA) based on multidimensional item response theory models. For more information, please refer to: Zhang, H., Chen, Y., & Li, X. (2020). A note on exploratory item factor analysis by singular value decomposition. Psychometrika, 1-15, <DOI:10.1007/s11336-020-09704-7>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: R (>= 3.1)
Imports: GPArotation, mirtjml, graphics, stats
NeedsCompilation: no
Packaged: 2020-09-03 09:45:30 UTC; zhanghaoran
Repository: CRAN
Date/Publication: 2020-09-10 14:20:03 UTC

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New package listArray with initial version 0.1.1
Package: listArray
Title: Incomplete Array with Arbitrary R Objects as Indices
Version: 0.1.1
Authors@R: person(given = "Sigbert", family = "Klinke", role = c("aut", "cre"), email = "sigbert@hu-berlin.de")
Description: The aim of the package is to create data objects which allow for accesses like x["test"] and x["test","test"].
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-03 12:04:23 UTC; sk
Author: Sigbert Klinke [aut, cre]
Maintainer: Sigbert Klinke <sigbert@hu-berlin.de>
Repository: CRAN
Date/Publication: 2020-09-10 14:40:03 UTC

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New package hermiter with initial version 1.0.0
Package: hermiter
Title: Efficient Sequential and Batch Estimation of Probability Density Functions, Cumulative Distribution Functions and Quantiles
Version: 1.0.0
Authors@R: c( person("Michael","Stephanou",role=c("aut","cre"), email="michael.stephanou@gmail.com"), person("Melvin","Varughese",role="ctb"))
Author: Michael Stephanou [aut, cre], Melvin Varughese [ctb]
Maintainer: Michael Stephanou <michael.stephanou@gmail.com>
Description: Facilitates estimation of the full probability density function, cumulative distribution function and quantile function using Hermite series based estimators. These estimators are particularly useful in the sequential setting (both stationary and non-stationary) and one-pass batch estimation setting for large data sets. Based on: Stephanou, Michael, Varughese, Melvin and Iain Macdonald. "Sequential quantiles via Hermite series density estimation." Electronic Journal of Statistics 11.1 (2017): 570-607 <doi:10.1214/17-EJS1245> and Stephanou, Michael and Varughese, Melvin. "On the properties of Hermite series based distribution function estimators." Metrika (2020) <doi:10.1007/s00184-020-00785-z>.
License: MIT + file LICENSE
Imports: Rcpp (>= 1.0.5), methods
LinkingTo: Rcpp, BH
RoxygenNote: 7.1.1
Suggests: testthat, magrittr, knitr, rmarkdown, dplyr, data.table, ggplot2, DT
VignetteBuilder: knitr
URL: https://github.com/MikeJaredS/hermiter
BugReports: https://github.com/MikeJaredS/hermiter/issues
NeedsCompilation: yes
Packaged: 2020-09-03 12:40:05 UTC; mjste
Repository: CRAN
Date/Publication: 2020-09-10 14:50:02 UTC

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New package duckdb with initial version 0.2.1
Package: duckdb
Title: DBI Package for the DuckDB Database Management System
Version: 0.2.1
Authors@R: c(person(given = "Hannes", family = "Mühleisen", role = c("aut", "cre"), email = "hannes@cwi.nl", comment = c(ORCID = "0000-0001-8552-0029")), person(given = "Mark", family = "Raasveldt", role = "aut", email = "mark.raasveldt@cwi.nl", comment = c(ORCID = "0000-0001-5005-6844")), person(given = "DuckDB Contributors", role = "aut"), person("Apache Software Foundation", role = "cph"), person("PostgreSQL Global Development Group", role = "cph"), person("The Regents of the University of California", role = "cph"), person("Cameron Desrochers", role = "cph"), person("Victor Zverovich", role = "cph"), person("RAD Game Tools", role = "cph"), person("Valve Software", role = "cph"), person("Rich Geldreich", role = "cph"), person("Tenacious Software LLC", role = "cph"), person("The RE2 Authors", role = "cph"), person("Google Inc.", role = "cph"), person("Steven G. Johnson", role = "cph"), person("Jiahao Chen", role = "cph"), person("Tony Kelman", role = "cph"), person("Jonas Fonseca", role = "cph"), person("Lukas Fittl", role = "cph"))
Description: The DuckDB project is an embedded analytical data management system with support for the Structured Query Language (SQL). This package includes all of DuckDB and a R Database Interface (DBI) connector.
License: MPL
URL: https://duckdb.org/, https://github.com/cwida/duckdb
BugReports: https://github.com/cwida/duckdb/issues
Depends: DBI, R (>= 3.5.0)
Imports: methods, utils
Suggests: callr, DBItest, dbplyr, nycflights13, testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2020-09-03 07:57:12 UTC; hannes
Author: Hannes Mühleisen [aut, cre] (<https://orcid.org/0000-0001-8552-0029>), Mark Raasveldt [aut] (<https://orcid.org/0000-0001-5005-6844>), DuckDB Contributors [aut], Apache Software Foundation [cph], PostgreSQL Global Development Group [cph], The Regents of the University of California [cph], Cameron Desrochers [cph], Victor Zverovich [cph], RAD Game Tools [cph], Valve Software [cph], Rich Geldreich [cph], Tenacious Software LLC [cph], The RE2 Authors [cph], Google Inc. [cph], Steven G. Johnson [cph], Jiahao Chen [cph], Tony Kelman [cph], Jonas Fonseca [cph], Lukas Fittl [cph]
Maintainer: Hannes Mühleisen <hannes@cwi.nl>
Repository: CRAN
Date/Publication: 2020-09-10 14:10:12 UTC

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New package diffviewer with initial version 0.1.0
Package: diffviewer
Title: HTML Widget to Show File Differences
Version: 0.1.0
Authors@R: c(person(given = "Hadley", family = "Wickham", role = c("aut", "cre"), email = "hadley@rstudio.com"), person(given = "Joshua", family = "Kunst", role = "aut"), person(given = "Winston", family = "Chang", role = "aut", email = "winston@rstudio.com"), person(given = "RStudio", role = "cph"), person(given = "Paul", family = "Fitzpatrick", role = "cph", comment = "Author of included daff.js library"), person(given = "Rodrigo", family = "Fernandes", role = "cph", comment = "Author of included diff2html library"), person(given = "JQuery Foundation", role = "cph", comment = "Author of included jquery library"), person(given = "Kevin", family = "Decker", role = "cph", comment = "Author of included jsdiff library"), person(given = "Matthew", family = "Holt", role = "cph", comment = "Author of incldued PapaParse library"), person(given = "Huddle", role = "cph", comment = "Author of included resemble library"))
Description: A HTML widget that shows differences between files (text, images, and data frames).
License: MIT + file LICENSE
URL: https://github.com/r-lib/diffviewer
BugReports: https://github.com/r-lib/diffviewer/issues
Imports: htmlwidgets, jsonlite
Suggests: covr, shiny
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-03 13:19:20 UTC; hadley
Author: Hadley Wickham [aut, cre], Joshua Kunst [aut], Winston Chang [aut], RStudio [cph], Paul Fitzpatrick [cph] (Author of included daff.js library), Rodrigo Fernandes [cph] (Author of included diff2html library), JQuery Foundation [cph] (Author of included jquery library), Kevin Decker [cph] (Author of included jsdiff library), Matthew Holt [cph] (Author of incldued PapaParse library), Huddle [cph] (Author of included resemble library)
Maintainer: Hadley Wickham <hadley@rstudio.com>
Repository: CRAN
Date/Publication: 2020-09-10 14:50:08 UTC

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New package dyngen with initial version 0.4.0
Type: Package
Package: dyngen
Title: A Multi-Modal Simulator for Spearheading Single-Cell Omics Analyses
Version: 0.4.0
Authors@R: c(person(given = "Robrecht", family = "Cannoodt", role = c("aut", "cre", "cph"), email = "rcannood@gmail.com", comment = c(ORCID = "0000-0003-3641-729X")), person(given = "Wouter", family = "Saelens", role = "aut", email = "wouter.saelens@ugent.be", comment = c(ORCID = "0000-0002-7114-6248")))
Description: A novel, multi-modal simulation engine for studying dynamic cellular processes at single-cell resolution. 'dyngen' is more flexible than current single-cell simulation engines. It allows better method development and benchmarking, thereby stimulating development and testing of novel computational methods. Cannoodt et al. (2020) <doi:10.1101/2020.02.06.936971>.
License: MIT + file LICENSE
URL: https://github.com/dynverse/dyngen
BugReports: https://github.com/dynverse/dyngen/issues
Depends: R (>= 3.5.0)
Imports: assertthat, dplyr, dynutils (>= 1.0.4), furrr, ggplot2, ggraph (>= 2.0), ggrepel, GillespieSSA2 (>= 0.2.6), grDevices, grid, igraph, lmds, Matrix, methods, patchwork, pbapply, purrr, rlang (>= 0.4.1), stats, tibble, tidygraph, tidyr, utils, viridis
Suggests: covr, dynwrap (>= 1.2.0), knitr, R.rsp, rmarkdown, testthat
VignetteBuilder: knitr, R.rsp
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-02 11:33:59 UTC; rcannood
Author: Robrecht Cannoodt [aut, cre, cph] (<https://orcid.org/0000-0003-3641-729X>), Wouter Saelens [aut] (<https://orcid.org/0000-0002-7114-6248>)
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-10 14:00:03 UTC

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New package crossmap with initial version 0.1.0
Package: crossmap
Title: Apply Functions to All Combinations of List Elements
Version: 0.1.0
Authors@R: person(given = "Alexander", family = "Rossell Hayes", role = c("aut", "cre", "cph"), email = "alexander@rossellhayes.com", comment = c(ORCID = "0000-0001-9412-0457"))
Description: Provides an extension to the 'purrr' family of mapping functions to apply a function to each combination of elements in a list of inputs. Also includes functions for automatically detecting output type in mapping functions, finding every combination of elements of lists or rows of data frames, and applying multiple models to multiple subsets of a dataset.
License: MIT + file LICENSE
URL: https://github.com/rossellhayes/crossmap
BugReports: https://github.com/rossellhayes/crossmap/issues
Imports: purrr, rlang
Suggests: broom, covr, crayon, dplyr (>= 1.0.0), furrr, future, stats, testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Collate: 'errors.R' 'autonames.R' 'isFALSE.R' 'cross_fit.R' 'cross_join.R' 'cross_list.R' 'crossmap-package.R' 'future_map_vec.R' 'future_xmap.R' 'future_xmap_mat.R' 'map_vec.R' 'vectorize.R' 'xmap.R' 'xmap_mat.R'
NeedsCompilation: no
Packaged: 2020-09-02 22:52:45 UTC; Alex
Author: Alexander Rossell Hayes [aut, cre, cph] (<https://orcid.org/0000-0001-9412-0457>)
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>
Repository: CRAN
Date/Publication: 2020-09-10 10:10:03 UTC

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New package PSSIM with initial version 0.1.0
Package: PSSIM
Type: Package
Title: Test of Independence & Image Structural Similarity Measure PSSIM
Version: 0.1.0
Author: Luann C. Jung, Haiyan Wang, Diego Maldonado, Sharad Silwal, Siti Tolos, Suojin Wang
Maintainer: Haiyan Wang <hwang@ksu.edu>
Description: Test-based Image structural similarity measure and test of independence. This package implements the key functions of two tasks: (1) computing image structural similarity measure PSSIM of Wang, Maldonado and Silwal (2011) <DOI:10.1016/j.csda.2011.04.021>; and (2) test of independence between a response and a covariate in presence of heteroscedastic treatment effects proposed by Wang, Tolos, and Wang (2010) <DOI:10.1002/cjs.10068>.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: R (>= 3.5.0)
Imports: stats, parallel
NeedsCompilation: no
Packaged: 2020-09-02 20:06:16 UTC; hwang
Repository: CRAN
Date/Publication: 2020-09-10 09:50:03 UTC

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New package personalized2part with initial version 0.0.1
Package: personalized2part
Type: Package
Title: Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Version: 0.0.1
Authors@R: c( person("Jared", "Huling", role = c("aut", "cre"), email = "jaredhuling@gmail.com", comment = c(ORCID = "0000-0003-0670-4845")) )
Description: Implements the methodology of Huling, Smith, and Chen (2020) <doi:10.1080/01621459.2020.1801449>, which allows for subgroup identification for semi-continuous outcomes by estimating individualized treatment rules. It uses a two-part modeling framework to handle semi-continuous data by separately modeling the positive part of the outcome and an indicator of whether each outcome is positive, but still results in a single treatment rule. High dimensional data is handled with a cooperative lasso penalty, which encourages the coefficients in the two models to have the same sign.
URL: https://github.com/jaredhuling/personalized2part
BugReports: https://github.com/jaredhuling/personalized2part/issues
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: personalized, HDtweedie
LinkingTo: Rcpp, RcppEigen
Imports: Rcpp, foreach, methods
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2020-09-02 20:55:06 UTC; jared
Author: Jared Huling [aut, cre] (<https://orcid.org/0000-0003-0670-4845>)
Maintainer: Jared Huling <jaredhuling@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-10 10:00:03 UTC

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New package cms with initial version 0.1.0
Package: cms
Type: Package
Title: Calculate Medicare Reimbursement
Version: 0.1.0
Authors@R: c(person(given = "Vigneshwar", family = "Subramanian", role = c("aut", "cre"), email = "vs347@cornell.edu"), person(given = "Raoul", family = "Wadhwa", role = "aut", email = "raoulwadhwa@gmail.com"), person(given = "Milind", family = "Desai", role = "ctb"))
Description: Uses the 'CMS' application programming interface <https://dnav.cms.gov/api/healthdata> to provide users databases containing yearly Medicare reimbursement rates in the United States. Data can be acquired for the entire United States or only for specific localities. Currently, support is only provided for the Medicare Physician Fee Schedule, but support will be expanded for other 'CMS' databases in future versions.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: assertthat (>= 0.2), dplyr (>= 0.8), magrittr (>= 1.5), readr (>= 1.3), rlang (>= 0.4), rvest (>= 0.3), utils (>= 3.6), xml2 (>= 1.3)
URL: https://github.com/subramv/cms
BugReports: https://github.com/subramv/cms/issues
RoxygenNote: 7.1.0
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-02 16:59:14 UTC; Vigu
Author: Vigneshwar Subramanian [aut, cre], Raoul Wadhwa [aut], Milind Desai [ctb]
Maintainer: Vigneshwar Subramanian <vs347@cornell.edu>
Repository: CRAN
Date/Publication: 2020-09-10 09:20:09 UTC

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New package seededlda with initial version 0.5
Package: seededlda
Type: Package
Title: Seeded-LDA for Topic Modeling
Version: 0.5
Authors@R: c(person("Kohei", "Watanabe", email = "watanabe.kohei@gmail.com", role = c("aut", "cre", "cph")), person("Phan", "Xuan-Hieu", email = "pxhieu@gmail.com", role = c("aut", "cph"), comment = "GibbsLDA++"))
Description: Implements the seeded-LDA model (Lu, Ott, Cardie & Tsou 2010) <doi:10.1109/ICDMW.2011.125> using the quanteda package and the GibbsLDA++ library for semisupervised topic modeling. Seeded-LDA allows users to pre-define topics with keywords to perform theory-driven analysis of textual data in social sciences and humanities (Watanabe & Zhou 2020) <doi:10.1177/0894439320907027>.
License: GPL-3
URL: https://github.com/koheiw/seededlda
BugReports: https://github.com/koheiw/seededlda/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), quanteda (> 2.0), methods
Imports: Matrix
LinkingTo: Rcpp, RcppParallel, RcppArmadillo (>= 0.7.600.1.0), quanteda
Suggests: testthat, quanteda.textmodels
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2020-09-02 16:12:31 UTC; kohei
Author: Kohei Watanabe [aut, cre, cph], Phan Xuan-Hieu [aut, cph] (GibbsLDA++)
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-10 09:00:03 UTC

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