Mon, 06 Feb 2023

New package synMicrodata with initial version 1.0.0
Package: synMicrodata
Title: Synthetic Microdata Generator
Version: 1.0.0
Date: 2023-02-04
Maintainer: Hang J. Kim <hangkim0@gmail.com>
Description: This tool fits a non-parametric Bayesian model called "hierarchically coupled mixture model (HCMM)" to the original microdata in order to generate synthetic microdata for privacy protection. The non-parametric feature of the adopted model is useful for catching the joint distribution of the original data in a highly flexible manner, leading to the generation of synthetic data very similar to the original data. Important reference papers on this method include Murray & Reiter (2016) <doi:10.1080/01621459.2016.1174132>.
License: GPL (>= 3)
Imports: methods, Rcpp
LinkingTo: Rcpp, RcppArmadillo
RcppModules: IO_module
NeedsCompilation: yes
Packaged: 2023-02-04 02:41:01 UTC; user
Author: Hang J. Kim [aut, cre], Juhee Lee [aut], Young-Min Kim [aut]
Repository: CRAN
Date/Publication: 2023-02-06 11:00:02 UTC

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New package sMTL with initial version 0.1.0
Package: sMTL
Title: Sparse Multi-Task Learning
Version: 0.1.0
Description: Implements L0-constrained Multi-Task Learning and domain generalization algorithms. The algorithms are coded in Julia allowing for fast implementations of the coordinate descent and local combinatorial search algorithms. For more details, see a preprint of the paper: Loewinger et al., (2022) <arXiv:2212.08697>.
URL: https://github.com/gloewing/sMTL, https://rpubs.com/gloewinger/996629
BugReports: https://github.com/gloewing/sMTL/issues
Maintainer: Gabriel Loewinger <gloewinger@gmail.com>
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: glmnet, JuliaCall, JuliaConnectoR, caret, dplyr
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2023-02-04 22:58:56 UTC; loewingergc
Author: Gabriel Loewinger [aut, cre] , Kayhan Behdin [aut], Giovanni Parmigiani [aut], Rahul Mazumder [aut], National Science Foundation Grant DMS1810829 [fnd], National Science Foundation Grant DMS2113707 [fnd], National Science Foundation Grant NSF-IIS1718 [...truncated...]
Repository: CRAN
Date/Publication: 2023-02-06 11:20:02 UTC

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New package oc with initial version 1.2.1
Package: oc
Version: 1.2.1
Date: 2023-02-03
Title: Optimal Classification Roll Call Analysis Software
Depends: R (>= 2.3.1), pscl (>= 0.59)
Description: Estimates optimal classification (Poole 2000) <doi:10.1093/oxfordjournals.pan.a029814> scores from roll call votes supplied though a 'rollcall' object from package 'pscl'.
License: GPL-2
URL: https://legacy.voteview.com/oc_in_R.htm, https://github.com/wmay/oc
BugReports: https://github.com/wmay/oc/issues
Repository: CRAN
NeedsCompilation: yes
Packaged: 2023-02-06 02:43:12 UTC; will
Author: Keith Poole [aut], Jeffrey Lewis [aut] , James Lo [aut], Royce Carroll [aut] , William May [aut, cre] , U.S. National Science Foundation [fnd]
Maintainer: William May <wmay@hey.com>
Date/Publication: 2023-02-06 11:32:31 UTC

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New package nblR with initial version 0.0.4
Package: nblR
Title: Data Extraction of Australian NBL Basketball Statistics
Version: 0.0.4
Description: Allow users to obtain basketball statistics for the Australian basketball league 'NBL'<https://nbl.com.au/>. Stats include play-by-play, shooting locations, results and box scores for teams and players.
License: GPL-3
URL: https://github.com/JaseZiv/nblR
BugReports: https://github.com/JaseZiv/nblR/issues
Depends: R (>= 4.0.0)
Imports: magrittr, cli
Suggests: dplyr, knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-02-04 09:19:14 UTC; zivkovij
Author: Jason Zivkovic [aut, cre, cph]
Maintainer: Jason Zivkovic <jaseziv83@gmail.com>
Repository: CRAN
Date/Publication: 2023-02-06 11:02:33 UTC

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New package mmstat4 with initial version 0.1.2
Package: mmstat4
Title: Access to Teaching Materials from a ZIP File or GitHub
Version: 0.1.2
Description: Teaching materials, e.g. R programs, Shiny apps, data and PDF/HTML documents, which are stored on the Internet in a ZIP file (e.g. as a GitHub repository) can be downloaded. They can be displayed or run locally. The content of the ZIP file is temporarily (or permanently) stored. The GitHub repository 'sigbertklinke/mmstat4.data' is used as the default repository. In addition, some auxiliary functions are implemented.
License: GPL-3
Encoding: UTF-8
Imports: tcltk, rappdirs, rio, rstudioapi, shiny
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-02-04 13:55:33 UTC; sk
Author: Sigbert Klinke [aut, cre]
Maintainer: Sigbert Klinke <sigbert@hu-berlin.de>
Repository: CRAN
Date/Publication: 2023-02-06 11:02:36 UTC

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New package deFit with initial version 0.1.0
Package: deFit
Title: Fitting Differential Equations to Time Series Data
Version: 0.1.0
Description: Use numerical optimization to fit ordinary differential equations (ODEs) to time series data to examine the dynamic relationships between variables or the characteristics of a dynamical system. It can now be used to estimate the parameters of ODEs up to second order. See <https://github.com/yueqinhu/defit> for details.
License: GPL (>= 3)
URL: https://github.com/yueqinhu/defit
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0)
Imports: deSolve, ggplot2, stats, R6
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-02-05 10:37:31 UTC; yueqinhu
Author: Yueqin Hu [aut, cre], Qingshan Liu [aut]
Maintainer: Yueqin Hu <yueqinhu@bnu.edu.cn>
Repository: CRAN
Date/Publication: 2023-02-06 11:22:34 UTC

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New package svars with initial version 1.3.11
Package: svars
Title: Data-Driven Identification of SVAR Models
Version: 1.3.11
Date: 2023-01-29
Author: Alexander Lange [aut, cre], Bernhard Dalheimer [aut], Helmut Herwartz [aut], Simone Maxand [aut], Hannes Riebl [ctb]
Maintainer: Alexander Lange <alexander.lange@uni-goettingen.de>
Description: Implements data-driven identification methods for structural vector autoregressive (SVAR) models as described in Lange et al. (2021) <doi:10.18637/jss.v097.i05>. Based on an existing VAR model object (provided by e.g. VAR() from the 'vars' package), the structural impact matrix is obtained via data-driven identification techniques (i.e. changes in volatility (Rigobon, R. (2003) <doi:10.1162/003465303772815727>), patterns of GARCH (Normadin, M., Phaneuf, L. (2004) <doi:10.1016/j.jmoneco.2003.11.002>), independent component analysis (Matteson, D. S, Tsay, R. S., (2013) <doi:10.1080/01621459.2016.1150851>), least dependent innovations (Herwartz, H., Ploedt, M., (2016) <doi:10.1016/j.jimonfin.2015.11.001>), smooth transition in variances (Luetkepohl, H., Netsunajev, A. (2017) <doi:10.1016/j.jedc.2017.09.001>) or non-Gaussian maximum likelihood (Lanne, M., Meitz, M., Saikkonen, P. (2017) <doi:10.1016/j.jeconom.2016.06.002>)).
Depends: R (>= 2.10), vars (>= 1.5.3)
Imports: expm, reshape2, ggplot2, copula, clue, pbapply, steadyICA, DEoptim, zoo, strucchange, Rcpp, methods
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
License: MIT + file LICENSE
LazyData: TRUE
SystemRequirements: C++17
Suggests: testthat (>= 2.1.0), tsDyn
Packaged: 2023-01-30 19:51:32 UTC; alex
Repository: CRAN
Date/Publication: 2023-02-06 10:00:02 UTC

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New package rSRD with initial version 0.1.6
Package: rSRD
Title: Sum of Ranking Differences Statistical Test
Version: 0.1.6
Maintainer: Jochen Staudacher <jochen.staudacher@hs-kempten.de>
Description: We provide an implementation for Sum of Ranking Differences (SRD), a novel statistical test introduced by Héberger (2010) <doi:10.1016/j.trac.2009.09.009>. The test allows the comparison of different solutions through a reference by first performing a rank transformation on the input, then calculating and comparing the distances between the solutions and the reference - the latter is measured in the L1 norm. The reference can be an external benchmark (e.g. an established gold standard) or can be aggregated from the data. The calculated distances, called SRD scores, are validated in two ways, see Héberger and Kollár-Hunek (2011) <doi:10.1002/cem.1320>. A randomization test (also called permutation test) compares the SRD scores of the solutions to the SRD scores of randomly generated rankings. The second validation option is cross-validation that checks whether the rankings generated from the solutions come from the same distribution or not. For a detailed analysis about the [...truncated...]
License: GPL-3
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, dplyr, janitor, tibble, ggplot2, stringr, methods, rlang, ggrepel, gplots
SystemRequirements: C++20, Rtools (>= 4.2) for Windows
NeedsCompilation: yes
Packaged: 2023-02-04 08:46:36 UTC; Jochen
Author: Jochen Staudacher [aut, cph, cre], Balazs R. Sziklai [aut, cph], Linus Olsson [aut, cph], Dennis Horn [ctb], Alexander Pothmann [ctb], Ali Tugay Sen [ctb], Attila Gere [ctb], Karoly Hebeger [ctb]
Repository: CRAN
Date/Publication: 2023-02-06 08:22:32 UTC

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New package blockTools with initial version 0.6.4
Package: blockTools
Title: Block, Assign, and Diagnose Potential Interference in Randomized Experiments
Version: 0.6.4
Date: 2023-02-03
Imports: dplyr, MASS, tibble
Suggests: nbpMatching, RItools, testthat (>= 3.0.0), xtable
Description: Blocks units into experimental blocks, with one unit per treatment condition, by creating a measure of multivariate distance between all possible pairs of units. Maximum, minimum, or an allowable range of differences between units on one variable can be set. Randomly assign units to treatment conditions. Diagnose potential interference between units assigned to different treatment conditions. Write outputs to .tex and .csv files.
License: GPL (>= 2) | file LICENSE
URL: https://www.ryantmoore.org/html/software.blockTools.html
NeedsCompilation: yes
Packaged: 2023-02-04 20:29:12 UTC; rtm
Author: Ryan T. Moore [aut, cre] , Keith Schnakenberg [aut]
Maintainer: Ryan T. Moore <rtm@american.edu>
Repository: CRAN
Date/Publication: 2023-02-06 08:22:38 UTC

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Sat, 04 Feb 2023

New package simulator with initial version 0.2.5
Package: simulator
Title: An Engine for Running Simulations
Version: 0.2.5
Date: 2023-02-02
Description: A framework for performing simulations such as those common in methodological statistics papers. The design principles of this package are described in greater depth in Bien, J. (2016) "The simulator: An Engine to Streamline Simulations," which is available at <arXiv:1607.00021>.
Depends: R (>= 3.5.0)
Imports: methods, graphics, grDevices, stats, utils, magrittr
Suggests: digest, ggplot2, knitr, rmarkdown, testthat, glmnet, mvtnorm
License: GPL-3
VignetteBuilder: knitr
URL: https://github.com/jacobbien/simulator
BugReports: https://github.com/jacobbien/simulator/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-02-02 16:33:59 UTC; jacobbien
Author: Jacob Bien [aut, cre]
Maintainer: Jacob Bien <jbien@usc.edu>
Repository: CRAN
Date/Publication: 2023-02-04 07:50:02 UTC

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New package mateable with initial version 0.3.2
Package: mateable
Title: Assess Mating Potential in Space and Time
Version: 0.3.2
Date: 2023-01-04
Maintainer: Stuart Wagenius <stuart.wagenius@gmail.com>
URL: https://github.com/stuartWagenius/mateable
BugReports: https://github.com/stuartWagenius/mateable/issues
Description: Simulate, manage, visualize, and analyze spatially and temporally explicit datasets of mating potential. Implements methods to calculate synchrony, proximity, and compatibility.Synchrony calculations are based on methods described in Augspurger (1983) <doi:10.2307/2387650>, Kempenaers (1993) <doi:10.2307/3676415>, Ison et al. (2014) <doi:10.3732/ajb.1300065>, and variations on these, as described.
License: GPL
LazyData: true
Imports: FNN, graphics, grDevices, Rcpp, sn, stats
Depends: R(>= 2.10.0)
Suggests: knitr, rmarkdown
LinkingTo: Rcpp
VignetteBuilder: knitr
Encoding: UTF-8
Biarch: true
NeedsCompilation: yes
Packaged: 2023-02-04 00:04:41 UTC; SWagenius
Author: Stuart Wagenius [cre, aut], Danny Hanson [aut], Amy Waananen [aut]
Repository: CRAN
Date/Publication: 2023-02-04 07:42:31 UTC

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Fri, 03 Feb 2023

New package whitewater with initial version 0.1.2
Package: whitewater
Title: Parallel Processing Options for Package 'dataRetrieval'
Version: 0.1.2
Description: Provides methods for retrieving United States Geological Survey (USGS) water data using sequential and parallel processing (Bengtsson, 2022 <doi:10.32614/RJ-2021-048>). In addition to parallel methods, data wrangling and additional statistical attributes are provided.
URL: https://github.com/joshualerickson/whitewater/, https://joshualerickson.github.io/whitewater/
BugReports: https://github.com/joshualerickson/whitewater/issues/
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dataRetrieval, dplyr, cli, crayon, furrr, httr, plyr, purrr, stringr, usethis, lubridate, readr, tidyr, future
Suggests: ggplot2, covr, rmarkdown, knitr, ggfx, broom, patchwork, jsonlite, Kendall, testthat (>= 3.0.0)
Depends: R (>= 3.4.0)
LazyData: true
NeedsCompilation: no
Packaged: 2023-02-03 15:15:03 UTC; joshualerickson
Author: Josh Erickson [aut, cre, cph]
Maintainer: Josh Erickson <joshualerickson@gmail.com>
Repository: CRAN
Date/Publication: 2023-02-03 20:30:02 UTC

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New package formatBibtex with initial version 0.1.0
Package: formatBibtex
Title: Format BibTeX Entries and Files
Version: 0.1.0
Description: Format BibTeX entries and files in an opinionated way.
Depends: R (>= 4.0)
Imports: utils
Suggests: bibtex
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/wenjie2wang/formatBibtex
BugReports: https://github.com/wenjie2wang/formatBibtex/issues
NeedsCompilation: no
Packaged: 2023-02-03 01:20:11 UTC; wenjie
Author: Wenjie Wang [aut, cre]
Maintainer: Wenjie Wang <wang@wwenjie.org>
Repository: CRAN
Date/Publication: 2023-02-03 20:22:30 UTC

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New package climetrics with initial version 1.0-11
Package: climetrics
Title: Climate Change Metrics
Version: 1.0-11
Date: 2023-02-01
Depends: methods, sp (>= 1.2-0), R (>= 3.5.0), rts
Imports: raster, terra, zoo, yaImpute, xts
Suggests: R.rsp, dplyr, tidyr
VignetteBuilder: R.rsp
Description: A framework that facilitates spatio-temporal analysis of climate dynamics through exploring and measuring different dimensions of climate change in space and time.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://r-gis.net/
BugReports: https://github.com/shirintaheri/climetrics/issues/
NeedsCompilation: no
Packaged: 2023-02-01 13:14:09 UTC; babak
Author: Shirin Taheri [cre, aut] , Babak Naimi [aut] , Miguel Araujo [aut]
Maintainer: Shirin Taheri <taheri.shi@gmail.com>
Repository: CRAN
Date/Publication: 2023-02-03 20:02:34 UTC

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New package bndesr with initial version 1.0
Package: bndesr
Title: Access Data from the Brazilian Development Bank (BNDES)
Version: 1.0
Description: Allows access to data on BNDES disbursements and contracts since 1995. The package makes it easy to import data from the bank into R.<https://www.bndes.gov.br/SiteBNDES/bndes/bndes_en>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, janitor, lubridate, readr, readxl, stringr
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-02-03 16:59:35 UTC; igorl
Author: Igor Laltuf [aut, cre]
Maintainer: Igor Laltuf <igorlaltuf@gmail.com>
Repository: CRAN
Date/Publication: 2023-02-03 20:32:34 UTC

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New package stxplore with initial version 0.1.0
Package: stxplore
Title: Exploration of Spatio-Temporal Data
Version: 0.1.0
Maintainer: Sevvandi Kandanaarachchi <sevvandik@gmail.com>
Description: A set of statistical tools for spatio-temporal data exploration. Includes simple plotting functions, covariance calculations and computations similar to principal component analysis for spatio-temporal data. Can use both dataframes and stars objects for all plots and computations. For more details refer 'Spatio-Temporal Statistics with R' (Christopher K. Wikle, Andrew Zammit-Mangion, Noel Cressie, 2019, ISBN:9781138711136).
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
LazyDataCompression: gzip
Imports: fields, ggmap, ggplot2, ggridges, gridExtra, gstat, lubridate, magrittr, RColorBrewer, rlang, sp, spacetime, stars, stats, tidyr
Depends: R (>= 2.10)
Suggests: dplyr, knitr, rmarkdown, ncmeta, units, maps, cubelyr
VignetteBuilder: knitr
URL: https://sevvandi.github.io/stxplore/
NeedsCompilation: no
Packaged: 2023-02-02 08:58:08 UTC; kan092
Author: Sevvandi Kandanaarachchi [aut, cre] , Petra Kunhert [aut] , Andrew Zammit-Mangion [ctb]
Repository: CRAN
Date/Publication: 2023-02-03 10:10:02 UTC

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New package smallsets with initial version 1.0.0
Package: smallsets
Title: The Smallset Timeline Builder
Version: 1.0.0
Maintainer: Lydia R. Lucchesi <Lydia.Lucchesi@anu.edu.au>
Description: Data practitioners regularly use the 'R' and 'Python' programming languages to prepare data for analyses. Thus, they encode data preprocessing decisions in 'R' and 'Python' scripts. The 'smallsets' package subsequently decodes these decisions into a Smallset Timeline, a visualisation proposed in Lucchesi et al. (2022) <doi:10.1145/3531146.3533175>. A Smallset Timeline is a series of small data snapshots of different preprocessing steps. The 'smallsets' package builds this figure from a user's dataset and 'R'/'Python' preprocessing script, which contains structured comments with snapshot instructions.
URL: https://github.com/lydialucchesi/smallsets
License: GPL (>= 3)
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 3.5.0)
Imports: colorspace, flextable, ggplot2, ggtext, patchwork, plotrix, reticulate
Suggests: gurobi, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-02-02 05:53:14 UTC; luc093
Author: Lydia R. Lucchesi [aut, cre] , Petra M. Kuhnert [ths], Jenny L. Davis [ths], Lexing Xie [ths]
Repository: CRAN
Date/Publication: 2023-02-03 10:10:06 UTC

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New package gcplyr with initial version 1.1.0
Package: gcplyr
Title: Manipulate and Analyze Growth Curve Data
Version: 1.1.0
Date: 2023-02-02
Description: Easy import, manipulation, and model-free analysis of bacterial growth curve data, as commonly output by plate readers. Tools for reshaping common plate reader outputs into 'tidy' formats and merging them with design information, making data easy to work with using 'gcplyr' and other packages. Also streamlines common growth curve processing steps, like smoothing and calculating derivatives, and facilitates model-free characterization and analysis of growth data. See methods at <https://mikeblazanin.github.io/gcplyr/>.
License: MIT + file LICENSE
URL: https://mikeblazanin.github.io/gcplyr/, https://github.com/mikeblazanin/gcplyr/
Depends: R (>= 2.10)
Imports: dplyr, stats, tidyr, tools, utils
Suggests: cowplot, ggplot2, knitr, lubridate, mgcv, readxl, rmarkdown, testthat (>= 3.0.0), xlsx
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-02-02 19:24:58 UTC; mikeb
Author: Mike Blazanin [aut, cre]
Maintainer: Mike Blazanin <mikeblazanin@gmail.com>
Repository: CRAN
Date/Publication: 2023-02-03 10:32:31 UTC

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New package eselect with initial version 1.1
Package: eselect
Title: Adaptive Clinical Trial Designs with Endpoint Selection and Sample Size Reassessment
Version: 1.1
Maintainer: Marta Bofill Roig <marta.bofillroig@meduniwien.ac.at>
Description: Endpoint selection and sample size reassessment for multiple binary endpoints based on blinded and/or unblinded data. Trial design that allows an adaptive modification of the primary endpoint based on blinded information obtained at an interim analysis. The decision rule chooses the endpoint with the lower estimated required sample size. Additionally, the sample size is reassessed using the estimated event probabilities and correlation between endpoints. The implemented design is proposed in Bofill Roig, M., Gómez Melis, G., Posch, M., and Koenig, F. (2022). <doi:10.48550/arXiv.2206.09639>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, CompAREdesign
NeedsCompilation: no
Packaged: 2023-02-02 13:22:06 UTC; marta.bofill
Author: Marta Bofill Roig [aut, cre] , Guadalupe Gomez Melis [ctb], Franz Koenig [ctb], Martin Posch [ctb]
Repository: CRAN
Date/Publication: 2023-02-03 10:22:32 UTC

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New package CARM with initial version 1.0.0
Package: CARM
Title: Covariate-Adjusted Adaptive Randomization via Mahalanobis-Distance
Version: 1.0.0
Author: Haoyu Yang [aut], Fanglu Chen [aut, cre], Yichen Qin [aut], Yang Li [aut]
Maintainer: Fanglu Chen <chenfanglu1031@qq.com>
Description: In randomized controlled trial (RCT), balancing covariate is often one of the most important concern. CARM package provides functions to balance the covariates and generate allocation sequence by covariate-adjusted Adaptive Randomization via Mahalanobis-distance (ARM) for RCT. About what ARM is and how it works please see Y. Qin, Y. Li, W. Ma, H. Yang, and F. Hu (2022). "Adaptive randomization via Mahalanobis distance" Statistica Sinica. <doi:10.5705/ss.202020.0440>. In addition, the package is also suitable for the randomization process of multi-arm trials. For details, please see Yang H, Qin Y, Wang F, et al. (2023). "Balancing covariates in multi-arm trials via adaptive randomization" Computational Statistics & Data Analysis.<doi:10.1016/j.csda.2022.107642>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R(>= 3.6.0),stats
Imports: arrangements,dplyr,MASS
NeedsCompilation: no
Packaged: 2023-02-02 16:52:06 UTC; star
Repository: CRAN
Date/Publication: 2023-02-03 10:22:35 UTC

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New package animate with initial version 0.3.9.4
Package: animate
Title: A Web-Based Graphics Device for Animated Visualisations
Version: 0.3.9.4
Description: Implements a web-based graphics device for animated visualisations. Modelled on the 'base' syntax, it extends the 'base' graphics functions to support frame-by-frame animation and keyframes animation. The target use cases are real-time animated visualisations, including agent-based models, dynamical systems, and animated diagrams. The generated visualisations can be deployed as GIF images / MP4 videos, as 'Shiny' apps (with interactivity) or as HTML documents through embedding into R Markdown documents.
License: MIT + file LICENSE
URL: https://kcf-jackson.github.io/animate/
BugReports: https://github.com/kcf-jackson/animate/issues
Encoding: UTF-8
Imports: R6, httpuv, base64enc, jsonlite, glue, R.utils
Suggests: rmarkdown, knitr, shiny, htmltools, pryr, V8, servr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-02-03 06:57:49 UTC; jkwok
Author: Chun Fung Kwok [aut, cre] , Davis McCarthy [ctb]
Maintainer: Chun Fung Kwok <kcf.jackson@gmail.com>
Repository: CRAN
Date/Publication: 2023-02-03 10:42:32 UTC

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Thu, 02 Feb 2023

New package roads with initial version 1.1.0
Package: roads
Title: Road Network Projection
Version: 1.1.0
Date: 2023-03-11
URL: https://github.com/LandSciTech/roads, https://landscitech.github.io/roads/
Description: Project road network development based on an existing road network, target locations to be connected by roads and a cost surface. Road projection methods include minimum spanning tree with least cost path (Kruskal's algorithm (1956) <doi:10.2307/2033241>), least cost path (Dijkstra's algorithm (1959) <doi:10.1007/BF01386390>) or snapping. These road network projection methods are ideal for use with land cover change projection models.
License: Apache License (>= 2)
Encoding: UTF-8
LazyData: true
Imports: raster, dplyr, igraph, sp, data.table, sf, units, rlang, methods, tidyselect, terra
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, viridis, tmap, bench
VignetteBuilder: knitr
Depends: R (>= 2.10)
BugReports: https://github.com/LandSciTech/roads/issues
NeedsCompilation: no
Packaged: 2023-02-01 17:18:51 UTC; EndicottS
Author: Sarah Endicott [aut, cre] , Kyle Lochhead [aut], Josie Hughes [aut], Patrick Kirby [aut], Her Majesty the Queen in Right of Canada as represented by the Minister of the Environment [cph] , Province of British Columbia [cph]
Maintainer: Sarah Endicott <sarah.endicott@ec.gc.ca>
Repository: CRAN
Date/Publication: 2023-02-02 16:10:02 UTC

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New package rda with initial version 1.2-1
Package: rda
Version: 1.2-1
VersionNote: Archived on 2020-01-01 on CRAN
Title: Shrunken Centroids Regularized Discriminant Analysis
Depends: R (>= 2.10)
Imports: methods
Suggests: covr
Description: Provides functions implementing the shrunken centroids regularized discriminant analysis for classification purpose in high dimensional data. The method is described in Guo at al. (2013) <doi:10.1093/biostatistics/kxj035>.
License: GPL (>= 3)
URL: https://github.com/valentint/rda
BugReports: https://github.com/valentint/rda/issues
Repository: CRAN
Date/Publication: 2023-02-02 16:20:02 UTC
Author: Yaqian Guo [aut], Trevor Hastie [aut], Robert Tibshirani [aut], Valentin Todorov [cre]
Maintainer: Valentin Todorov <valentin@todorov.at>
NeedsCompilation: no
Packaged: 2023-02-01 21:21:44 UTC; valen

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New package GFDmcv with initial version 0.1.0
Package: GFDmcv
Title: General Hypothesis Testing Problems for Multivariate Coefficients of Variation
Version: 0.1.0
Date: 2023-02-02
Description: Performs test procedures for general hypothesis testing problems for four multivariate coefficients of variation (Ditzhaus and Smaga, 2023 <arXiv:2301.12009>). We can verify the global hypothesis about equality as well as the particular hypotheses defined by contrasts, e.g., we can conduct post hoc tests. We also provide the simultaneous confidence intervals for contrasts.
License: LGPL-2 | LGPL-3 | GPL-2 | GPL-3
Imports: Rcpp (>= 1.0.9), mvtnorm, doParallel, MASS, foreach, Matrix, stringr, HSAUR
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-02-02 13:54:19 UTC; ls
Author: Marc Ditzhaus [aut], Lukasz Smaga [aut, cre]
Maintainer: Lukasz Smaga <ls@amu.edu.pl>
Repository: CRAN
Date/Publication: 2023-02-02 17:00:02 UTC

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New package cols4all with initial version 0.6
Package: cols4all
License: GPL-3
Title: Colors for all
LazyLoad: yes
Description: Color palettes for all people, including those with color vision deficiency. Popular color palette series have been organized by type and have been scored on several properties such as color-blind-friendliness and fairness (i.e. do colors stand out equally?). Own palettes can also be loaded and analysed. Besides the common palette types (categorical, sequential, and diverging) it also includes bivariate color palettes. Furthermore, a color for missing values is assigned to each palette.
Version: 0.6
Date: 2023-01-30
Encoding: UTF-8
Depends: R (>= 3.5.0),
Imports: methods, grDevices, stats, abind, png, stringdist, colorspace (>= 2.1)
Suggests: colorblindcheck, kableExtra, knitr, shiny, shinyjs, ggplot2, scales, rmarkdown
URL: https://github.com/mtennekes/cols4all
BugReports: https://github.com/mtennekes/cols4all/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-02-01 21:38:33 UTC; mtes
Author: Martijn Tennekes [aut, cre], Marco Puts [ctb], Achim Zeileis [ctb], Jakub Nowosad [ctb], Robin Lovelace [ctb], Helgasoft [ctb], Matthew Petroff [ctb]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>
Repository: CRAN
Date/Publication: 2023-02-02 16:30:02 UTC

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New package BayesDIP with initial version 0.1.1
Package: BayesDIP
Title: Bayesian Decreasingly Informative Priors for Early Termination Phase II Trials
Version: 0.1.1
Date: 2023-1-31
Maintainer: Chen Wang <wangc10@vcu.edu>
Description: Provide early termination phase II trial designs with a decreasingly informative prior (DIP) or a regular Bayesian prior chosen by the user. The program can determine the minimum planned sample size necessary to achieve the user-specified admissible designs. The program can also perform power and expected sample size calculations for the tests in early termination Phase II trials. See Wang C and Sabo RT (2022) <doi:10.18203/2349-3259.ijct20221110>; Sabo RT (2014) <doi:10.1080/10543406.2014.888441>.
License: GPL (>= 2)
URL: <https://github.com/chenw10/BayesDIP>
Imports: stats
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2023-02-01 18:44:53 UTC; chen
Author: Chen Wang [cre, aut], Roy Sabo [aut]
Repository: CRAN
Date/Publication: 2023-02-02 16:20:05 UTC

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New package SampleSizeMeans with initial version 1.2
Package: SampleSizeMeans
Title: Sample Size Calculations for Normal Means
Version: 1.2
Date: 2023-02-01
Description: Sample size requirements calculation using three different Bayesian criteria in the context of designing an experiment to estimate a normal mean or the difference between two normal means. Functions for calculation of required sample sizes for the Average Length Criterion, the Average Coverage Criterion and the Worst Outcome Criterion in the context of normal means are provided. Functions for both the fully Bayesian and the mixed Bayesian/likelihood approaches are provided. For reference see Joseph L. and B\'elisle P. (1997) <https://www.jstor.org/stable/2988525>.
Imports: stats
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: no
Packaged: 2023-02-01 10:59:00 UTC; Patrick
Author: Lawrence Joseph [aut], Patrick Belisle [aut, cre]
Maintainer: Patrick Belisle <patrickb.stat@gmail.com>
Date/Publication: 2023-02-02 13:10:06 UTC

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New package echoice2 with initial version 0.2.0
Package: echoice2
Title: Choice Models with Economic Foundation
Version: 0.2.0
Date: 2023-01-02
Maintainer: Nino Hardt <me@ninohardt.com>
Description: Implements choice models based on economic theory, including estimation using Markov chain Monte Carlo (MCMC), prediction, and more. Its usability is inspired by ideas from 'tidyverse'. Models include versions of the Hierarchical Multinomial Logit and Multiple Discrete-Continous (Volumetric) models with and without screening. The foundations of these models are described in Allenby, Hardt and Rossi (2019) <doi:10.1016/bs.hem.2019.04.002>. Models with conjunctive screening are described in Kim, Hardt, Kim and Allenby (2022) <doi:10.1016/j.ijresmar.2022.04.001>. Models with set-size variation are described in Hardt and Kurz (2020) <doi:10.2139/ssrn.3418383>.
License: MIT + file LICENSE
URL: http://ninohardt.de/echoice2/
Imports: Rcpp (>= 1.0.1), parallel (>= 4.0), magrittr, stats, graphics, stringr, purrr, tibble (>= 2.1.3), tidyselect (>= 1.2.0), tidyr, rlang (>= 1.0.6), forcats
Depends: R (>= 3.5), dplyr, ggplot2
Suggests: testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
SystemRequirements: OpenMP
NeedsCompilation: yes
Packaged: 2023-02-01 11:34:28 UTC; myself
Author: Nino Hardt [aut, cre]
Repository: CRAN
Date/Publication: 2023-02-02 13:10:02 UTC

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New package OlympicRshiny with initial version 1.0.0
Package: OlympicRshiny
Title: 'Shiny' Application for Olympic Data
Version: 1.0.0
Description: 'Shiny' Application to visualize Olympic Data. From 1896 to 2016. Even Winter Olympics events are included. Data is from Kaggle at <https://www.kaggle.com/heesoo37/120-years-of-olympic-history-athletes-and-results>.
License: MIT + file LICENSE
URL: https://github.com/Amalan-ConStat/OlympicRshiny, https://amalan-con-stat.shinyapps.io/OlympicRshiny/, https://amalan-con-stat.shinyapps.io/olympic/
BugReports: https://github.com/Amalan-ConStat/OlympicRshiny/issues
Depends: R (>= 2.10)
Imports: config (>= 0.3.1), dplyr, forcats, ggplot2, golem (>= 0.3.5), shiny (>= 1.7.4), shinybusy, shinythemes, summarytools
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-02-01 06:36:04 UTC; amala
Author: Amalan Mahendran [cre, aut]
Maintainer: Amalan Mahendran <amalan0595@gmail.com>
Repository: CRAN
Date/Publication: 2023-02-02 13:00:03 UTC

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New package MetChem with initial version 0.2
Package: MetChem
Version: 0.2
Date: 2023-02-01
Maintainer: Stefano Cacciatore <tkcaccia@gmail.com>
Title: Chemical Structural Similarity Analysis
Description: A new pipeline to explore chemical structural similarity across metabolite. It allows to classify metabolites in structurally-related modules and identify common shared functional groups. KODAMA algorithm is used to highlight structural similarity between metabolites. See Cacciatore S, Tenori L, Luchinat C, Bennett PR, MacIntyre DA. (2017) Bioinformatics <doi:10.1093/bioinformatics/btw705> and Cacciatore S, Luchinat C, Tenori L. (2014) Proc Natl Acad Sci USA <doi:10.1073/pnas.1220873111>.
Depends: R (>= 3.5.0), stats, KODAMA (>= 2.3), httr, XML, fingerprint, rcdk (>= 3.4.3)
Suggests: knitr, rmarkdown, readxl, impute, pheatmap, RColorBrewer
VignetteBuilder: knitr
SuggestsNote: No suggestions
License: GPL (>= 2)
Packaged: 2023-02-01 07:26:50 UTC; stefano
NeedsCompilation: no
Repository: CRAN
Author: Ebtesam Abdel-Shafy [aut], Tadele Melak [aut], David A. MacIntyre [aut], Giorgia Zadra [aut], Luiz F. Zerbini [aut], Silvano Piazza [aut], Stefano Cacciatore [aut, cre]
Date/Publication: 2023-02-02 13:00:05 UTC

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New package connectapi with initial version 0.1.3.1
Package: connectapi
Title: Utilities for Interacting with the 'Posit Connect' Server API
Version: 0.1.3.1
Description: Provides a helpful 'R6' class and methods for interacting with the 'Posit Connect' Server API along with some meaningful utility functions for regular tasks. API documentation varies by 'Posit Connect' installation and version, but the latest documentation is also hosted publicly at <https://docs.posit.co/connect/api/>.
License: MIT + file LICENSE
URL: https://github.com/rstudio/connectapi
Imports: config, dplyr, fs, glue, httr, lifecycle, magrittr, progress, purrr, R6, rlang (>= 0.4.2), tibble, uuid, vctrs (>= 0.3.0), yaml, bit64, jsonlite
Suggests: crayon, flexdashboard, ggplot2, gridExtra, htmltools, knitr, lubridate, processx, rmarkdown, rprojroot, spelling, testthat, rsconnect, webshot2, covr, mockery, devtools
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2023-02-01 00:02:36 UTC; colearendt
Author: Sean Lopp [aut], Cole Arendt [aut, cre], Posit, PBC [cph, fnd]
Maintainer: Cole Arendt <cole@posit.co>
Repository: CRAN
Date/Publication: 2023-02-02 12:50:02 UTC

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Wed, 01 Feb 2023

New package SampleSizeProportions with initial version 1.1
Package: SampleSizeProportions
Title: Calculating Sample Size Requirements when Estimating the Difference Between Two Binomial Proportions
Version: 1.1
Date: 2023-02-01
Description: Sample size requirements calculation using three different Bayesian criteria in the context of designing an experiment to estimate the difference between two binomial proportions. Functions for calculation of required sample sizes for the Average Length Criterion, the Average Coverage Criterion and the Worst Outcome Criterion in the context of binomial observations are provided. In all cases, estimation of the difference between two binomial proportions is considered. Functions for both the fully Bayesian and the mixed Bayesian/likelihood approaches are provided. For reference see Joseph L., du Berger R. and B\'elisle P. (1997) <doi:10.1002/(sici)1097-0258(19970415)16:7%3C769::aid-sim495%3E3.0.co;2-v>.
Imports: stats
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: no
Packaged: 2023-02-01 11:59:16 UTC; Patrick
Author: Lawrence Joseph [aut], Patrick Belisle [aut, cre], Roxane du Berger [aut]
Maintainer: Patrick Belisle <patrickb.stat@gmail.com>
Date/Publication: 2023-02-01 12:50:09 UTC

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New package RcppArray with initial version 0.2.0
Package: RcppArray
Version: 0.2.0
Date: 2023-01-31
Title: 'Rcpp' Meets 'C++' Arrays
Imports: Rcpp
LinkingTo: Rcpp
Suggests: tinytest
Description: Interoperability between 'Rcpp' and the 'C++11' array type. Linking to this package allows fixed-length 'std::array' objects to be converted to and from equivalent R vectors via the as() and wrap() functions.
Encoding: UTF-8
License: GPL-2
URL: https://github.com/jonclayden/RcppArray
BugReports: https://github.com/jonclayden/RcppArray/issues
NeedsCompilation: yes
Packaged: 2023-01-31 16:57:09 UTC; jon
Author: Jon Clayden [cre, aut] , Dirk Eddelbuettel [aut]
Maintainer: Jon Clayden <code@clayden.org>
Repository: CRAN
Date/Publication: 2023-02-01 11:20:07 UTC

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New package imprecise101 with initial version 0.2.2.4
Package: imprecise101
Title: Introduction to Imprecise Probabilities
Version: 0.2.2.4
Description: An imprecise inference presented in the study of Walley (1996) <doi:10.1111/j.2517-6161.1996.tb02065.x> is one of the statistical reasoning methods when prior information is unavailable. Functions and utils needed for illustrating this inferential paradigm are implemented for classroom teaching and further comprehensive research. Two imprecise models are demonstrated using multinomial data and 2x2 contingency table data. The concepts of prior ignorance and imprecision are discussed in lower and upper probabilities. Representation invariance principle, hypothesis testing, decision-making, and further generalization are also illustrated.
License: GPL-3
Encoding: UTF-8
Suggests: covr, knitr, rmarkdown
VignetteBuilder: knitr
Imports: stats, tolerance, graphics, pscl
NeedsCompilation: no
Packaged: 2023-01-31 17:09:45 UTC; chelhee.lee
Author: Chel Hee Lee [aut, cre] , Mikelis Bickis [ctb], Angela McCourt [ctb]
Maintainer: Chel Hee Lee <chelhee.lee@ucalgary.ca>
Repository: CRAN
Date/Publication: 2023-02-01 11:20:02 UTC

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New package hexFinder with initial version 0.8.0
Package: hexFinder
Title: Find Hex Logos for CRAN Packages
Version: 0.8.0
Description: Scavenge the web for possible hex logos for CRAN packages.
License: MIT + file LICENSE
URL: https://pedrocsilva.com
Encoding: UTF-8
Imports: ggplot2, hexSticker, tools, utils, methods, magick, glue, jsonlite, pkgsearch, purrr, stringr, httr2
Suggests: httptest2, testthat (>= 3.0.0), covr, rmarkdown, svglite, knitr
NeedsCompilation: no
Packaged: 2023-01-26 18:41:18 UTC; spark
Author: Pedro Silva [aut, cre]
Maintainer: Pedro Silva <pedrocoutinhosilva@gmail.com>
Repository: CRAN
Date/Publication: 2023-02-01 11:20:04 UTC

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New package GPBayes with initial version 0.1.0-5.1
Package: GPBayes
Title: Tools for Gaussian Process Modeling in Uncertainty Quantification
Version: 0.1.0-5.1
Date: 2023-01-31
Maintainer: Pulong Ma <mpulong@gmail.com>
Description: Gaussian processes ('GPs') have been widely used to model spatial data, 'spatio'-temporal data, and computer experiments in diverse areas of statistics including spatial statistics, 'spatio'-temporal statistics, uncertainty quantification, and machine learning. This package creates basic tools for fitting and prediction based on 'GPs' with spatial data, 'spatio'-temporal data, and computer experiments. Key characteristics for this GP tool include: (1) the comprehensive implementation of various covariance functions including the 'Matérn' family and the Confluent 'Hypergeometric' family with isotropic form, tensor form, and automatic relevance determination form, where the isotropic form is widely used in spatial statistics, the tensor form is widely used in design and analysis of computer experiments and uncertainty quantification, and the automatic relevance determination form is widely used in machine learning; (2) implementations via Markov chain Monte Carlo ('MCMC') algorithms and [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
BugReports: https://github.com/pulongma/GPBayes/issues
Imports: Rcpp (>= 1.0.1), stats, methods
LinkingTo: Rcpp, RcppEigen, RcppProgress
SystemRequirements: GNU Scientific Library version >= 2.5
NeedsCompilation: yes
Packaged: 2023-01-31 20:03:07 UTC; plma
Author: Pulong Ma [aut, cre]
Repository: CRAN
Date/Publication: 2023-02-01 11:20:09 UTC

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New package vvmover with initial version 1.5.10
Package: vvmover
Title: Read and Write Data
Version: 1.5.10
Description: Offers a wide range of functions for reading and writing data in various file formats, including CSV, RDS, Excel and ZIP files. Additionally, it provides functions for retrieving metadata associated with files, such as file size and creation date, making it easy to manage and organize large data sets. This package is designed to simplify data import and export tasks, and provide users with a comprehensive set of tools to work with different types of data files.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, readr, readxl, utils,
Suggests: dataMaid
NeedsCompilation: no
Packaged: 2023-01-31 09:39:58 UTC; tomer
Author: Tomer Iwan [aut, cre, cph]
Maintainer: Tomer Iwan <t.iwan@vu.nl>
Repository: CRAN
Date/Publication: 2023-02-01 11:00:02 UTC

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New package vvconverter with initial version 0.5.8
Package: vvconverter
Title: Apply Transformations to Data
Version: 0.5.8
Description: Provides a set of functions for data transformations. Transformations are performed on character and numeric data. As the scope of the package is within Student Analytics, there are functions focused around the academic year.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, lubridate, stringr
NeedsCompilation: no
Packaged: 2023-01-31 09:03:29 UTC; tomer
Author: Tomer Iwan [aut, cre, cph]
Maintainer: Tomer Iwan <t.iwan@vu.nl>
Repository: CRAN
Date/Publication: 2023-02-01 10:50:02 UTC

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New package vvauditor with initial version 0.5.8
Package: vvauditor
Title: Creates Assertion Tests
Version: 0.5.8
Description: Offers a comprehensive set of assertion tests to help users validate the integrity of their data. These tests can be used to check for specific conditions or properties within a dataset and help ensure that data is accurate and reliable. The package is designed to make it easy to add quality control checks to data analysis workflows and to aid in identifying and correcting any errors or inconsistencies in data.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, findR, magrittr, stats, stringr
NeedsCompilation: no
Packaged: 2023-01-31 08:54:07 UTC; tomer
Author: Tomer Iwan [aut, cre, cph]
Maintainer: Tomer Iwan <t.iwan@vu.nl>
Repository: CRAN
Date/Publication: 2023-02-01 10:50:05 UTC

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New package readNSx with initial version 0.0.1
Package: readNSx
Title: Read 'Blackrock-Microsystems' Files ('NEV', 'NSx')
Version: 0.0.1
Description: Loads 'Blackrock' <https://blackrockneurotech.com> neural signal data files into the memory, provides utility tools to extract the data into common formats such as plain-text 'tsv' and 'HDF5'.
License: MPL-2.0 | file LICENSE
Language: en-US
Encoding: UTF-8
Imports: data.table, fastmap, hdf5r, jsonlite, R6
LinkingTo: cpp11
Suggests: bit64, tools, testthat (>= 3.0.0), knitr, rmarkdown, spelling
SystemRequirements: C++17, HDF5 (>= 1.8.13), little-endian platform
NeedsCompilation: yes
Copyright: For the readNSx package: Zhengjia Wang.
URL: http://dipterix.org/readNSx/
BugReports: https://github.com/dipterix/readNSx/issues
VignetteBuilder: knitr
Packaged: 2023-01-31 10:26:48 UTC; dipterix
Author: Zhengjia Wang [aut, cre]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>
Repository: CRAN
Date/Publication: 2023-02-01 11:00:05 UTC

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New package otrKM with initial version 0.1.0
Package: otrKM
Title: Optimal Treatment Regimes in Survival Contexts with Kaplan-Meier-Like Estimators
Version: 0.1.0
Description: Provide methods for estimating optimal treatment regimes in survival contexts with Kaplan-Meier-like estimators when no unmeasured confounding assumption is satisfied (Jiang, R., Lu, W., Song, R., and Davidian, M. (2017) <doi:10.1111/rssb.12201>) and when no unmeasured confounding assumption fails to hold and a binary instrument is available (Xia, J., Zhan, Z., Zhang, J. (2022) <arXiv:2210.05538>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: rgenoud, survival
Depends: R (>= 3.10)
NeedsCompilation: no
Packaged: 2023-01-31 12:11:49 UTC; xiajunwen
Author: Junwen Xia [aut, cre], Zishu Zhan [aut], Jingxiao Zhang [aut]
Maintainer: Junwen Xia <xiajunwen@ruc.edu.cn>
Repository: CRAN
Date/Publication: 2023-02-01 11:00:08 UTC

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Tue, 31 Jan 2023

New package translated with initial version 0.1.0
Package: translated
Title: Simple and Robust Translation System
Version: 0.1.0
Date: 2023-01-26
Description: Allows translating with formatted string literals, grouped entries, and configurable system of plurals. Have a separate file for each locale and use inheritance to handle dialect differences.
License: GPL (>= 3)
Encoding: UTF-8
Imports: glue, jsonlite
Suggests: covr, deepdep, testthat (>= 3.0.0)
URL: https://github.com/ttscience/translated
BugReports: https://github.com/ttscience/translated/issues
NeedsCompilation: no
Packaged: 2023-01-31 08:48:36 UTC; erdar
Author: Laura Bakala [cre, aut, cph]
Maintainer: Laura Bakala <erdaradun.gaztea@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-31 17:00:02 UTC

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New package stevethemes with initial version 0.1.0
Package: stevethemes
Title: Steve's 'ggplot2' Themes and Related Theme Elements
Depends: R (>= 3.5.0)
Version: 0.1.0
Maintainer: Steve Miller <steven.v.miller@gmail.com>
Description: This is a compilation of my preferred themes and related theme elements for 'ggplot2'. I believe these themes and theme elements are aesthetically pleasing, both for pedagogical instruction and for the presentation of applied statistical research to a wide audience. These themes imply routine use of easily obtained/free fonts, simple forms of which are included in this package.
URL: http://svmiller.com/stevethemes/
BugReports: https://github.com/svmiller/stevethemes/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: ggplot2 (>= 3.3.0), rlang (>= 1.0.0), systemfonts
NeedsCompilation: no
Packaged: 2023-01-31 08:01:04 UTC; steve
Author: Steve Miller [aut, cre] , Accademia di Belle Arti di Urbino [ctb] , Steve Matteson [ctb] , Erik Spiekermann [ctb] , Ralph du Carrois [ctb] , Sebastian Kosch [ctb] , Jacques Le Bailly [ctb]
Repository: CRAN
Date/Publication: 2023-01-31 16:50:02 UTC

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New package MDP2 with initial version 2.1.2
Package: MDP2
Title: Markov Decision Processes (MDPs)
Version: 2.1.2
Description: Create and optimize (semi) MDPs with discrete time steps and state space. Both hierarchical and ordinary-traditional MDPs can be modeled.
License: GPL (>= 3.3.2)
URL: https://relund.github.io/mdp/, https://github.com/relund/mdp/, http://relund.github.io/mdp/
BugReports: https://github.com/relund/mdp/issues
Depends: R (>= 4.1.0)
Imports: diagram, dplyr, stringr, tidyr, magrittr, methods, purrr, rlang, tibble, Rcpp (>= 0.11.5)
Suggests: knitr, Matrix, rmarkdown, testthat, readr, xml2, covr
LinkingTo: Rcpp
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: yes
Packaged: 2023-01-29 14:08:38 UTC; au15463
Author: Lars Relund Nielsen [aut, cre]
Maintainer: Lars Relund Nielsen <lars@relund.dk>
Repository: CRAN
Date/Publication: 2023-01-31 16:20:03 UTC

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Mon, 30 Jan 2023

New package BayesianTools with initial version 0.1.8
Package: BayesianTools
Title: General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics
Version: 0.1.8
Date: 2023-01-30
Description: General-purpose MCMC and SMC samplers, as well as plot and diagnostic functions for Bayesian statistics, with a particular focus on calibrating complex system models. Implemented samplers include various Metropolis MCMC variants (including adaptive and/or delayed rejection MH), the T-walk, two differential evolution MCMCs, two DREAM MCMCs, and a sequential Monte Carlo (SMC) particle filter.
Depends: R (>= 3.1.2)
License: GPL-3
Imports: coda, emulator, mvtnorm, tmvtnorm, IDPmisc, Rcpp (>= 0.12.12), ellipse, numDeriv, msm, MASS, Matrix, stats, utils, graphics, DHARMa, gap, bridgesampling
Suggests: DEoptim, lhs, sensitivity, knitr, rmarkdown, roxygen2, testthat
LinkingTo: Rcpp
URL: https://github.com/florianhartig/BayesianTools
BugReports: https://github.com/florianhartig/BayesianTools/issues
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-01-30 09:56:37 UTC; florian
Author: Florian Hartig [aut, cre] , Francesco Minunno [aut], Stefan Paul [aut], David Cameron [ctb], Tankred Ott [ctb], Maximilian Pichler [ctb]
Maintainer: Florian Hartig <florian.hartig@biologie.uni-regensburg.de>
Repository: CRAN
Date/Publication: 2023-01-30 19:40:07 UTC

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New package vvsculptor with initial version 0.4.10
Package: vvsculptor
Title: Apply Manipulations to Data Frames
Version: 0.4.10
Description: Provides a set of functions for manipulating data frames in accordance with specific business rules. In addition, it includes wrapper functions for commonly used functions from the popular 'tidyverse' package, making it easy to integrate these functions into data analysis workflows. The package is designed to streamline data preprocessing and help users quickly and efficiently perform data transformations that are specific to their business needs.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr
NeedsCompilation: no
Packaged: 2023-01-28 08:08:06 UTC; tomer
Author: Tomer Iwan [aut, cre, cph]
Maintainer: Tomer Iwan <t.iwan@vu.nl>
Repository: CRAN
Date/Publication: 2023-01-30 16:20:02 UTC

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New package usdoj with initial version 1.0.0
Package: usdoj
Title: For Accessing U.S. Department of Justice (DOJ) Open Data
Version: 1.0.0
Maintainer: Steph Buongiorno <steph.buon@gmail.com>
Depends: R (>= 3.4.4)
Imports: anytime, dplyr, httr, jsonlite, stringr, tibble
URL: https://github.com/rOpenGov/usdoj
BugReports: https://github.com/rOpenGov/usdoj/issues
Description: Fetch data from the <https://www.justice.gov/developer/api-documentation/api_v1> API such as press releases, blog entries, and speeches. Optional parameters allow users to specify the number of results starting from the earliest or latest entries, and whether these results contain keywords. Data is cleaned for analysis and returned in a dataframe.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-01-29 15:32:49 UTC; stephbuon
Author: Steph Buongiorno [aut, cre]
Repository: CRAN
Date/Publication: 2023-01-30 16:50:02 UTC

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New package simplanonym with initial version 0.1.0
Package: simplanonym
Title: Consistent Anonymisation Across Datasets
Version: 0.1.0
Description: A simple function that anonymises a list of variables in a consistent way: anonymised factors are not recycled and the same original levels receive the same anonymised factor even if located in different datasets.
License: Apache License (>= 2)
Encoding: UTF-8
URL: https://github.com/dkgaraujo/simplanonym
BugReports: https://github.com/dkgaraujo/simplanonym/issues
Imports: dplyr (>= 1.0.10), forcats (>= 0.5.1), tidyselect (>= 1.2.0)
Suggests: testthat (>= 3.0.0), vroom (>= 1.5.7)
NeedsCompilation: no
Packaged: 2023-01-27 20:51:45 UTC; douglasaraujo
Author: Douglas Kiarelly Godoy de Araujo [aut, cre]
Maintainer: Douglas Kiarelly Godoy de Araujo <dkg.araujo@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-30 16:20:05 UTC

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New package penalizedcdf with initial version 0.1.0
Package: penalizedcdf
Title: Estimate a Penalized Linear Model using the CDF Penalty Function
Version: 0.1.0
Author: Daniele Cuntrera [aut, cre], Luigi Augugliaro [aut], Vito M.R. Muggeo [aut]
Maintainer: Daniele Cuntrera <daniele.cuntrera@unipa.it>
Description: Utilize the CDF penalty function to estimate a penalized linear model. It enables you to display some graphical representations and determine whether the Karush-Kuhn-Tucker conditions are met. For more details about the theory, please refer to Cuntrera, D., Augugliaro, L., & Muggeo, V. M. (2022) <arXiv:2212.08582>.
License: GPL-2 | GPL-3
Encoding: UTF-8
Imports: plot.matrix
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-01-28 16:24:35 UTC; heghe
Repository: CRAN
Date/Publication: 2023-01-30 16:40:02 UTC

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New package LGDtoolkit with initial version 0.0.9
Package: LGDtoolkit
Title: Collection of Tools for LGD Rating Model Development
Version: 0.0.9
Maintainer: Andrija Djurovic <djandrija@gmail.com>
Description: The goal of this package is to cover the most common steps in Loss Given Default (LGD) rating model development. The main procedures available are those that refer to bivariate and multivariate analysis. In particular two statistical methods for multivariate analysis are currently implemented – OLS regression and fractional logistic regression. Both methods are also available within different blockwise model designs and both have customized stepwise algorithms. Descriptions of these customized designs are available in Siddiqi (2016) <doi:10.1002/9781119282396.ch10> and Anderson, R.A. (2021) <doi:10.1093/oso/9780192844194.001.0001>. Although they are explained for PD model, the same designs are applicable for LGD model with different underlying regression methods (OLS and fractional logistic regression). To cover other important steps for LGD model development, it is recommended to use 'LGDtoolkit' package along with 'PDtoolkit', and 'monobin' (or 'monobinShiny') packages.
License: GPL (>= 3)
URL: https://github.com/andrija-djurovic/LGDtoolkit
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: dplyr, monobin
NeedsCompilation: no
Packaged: 2023-01-28 09:00:19 UTC; adjurovic
Author: Andrija Djurovic [aut, cre]
Repository: CRAN
Date/Publication: 2023-01-30 16:30:02 UTC

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New package fedz1 with initial version 0.1.0
Package: fedz1
Title: An Easier Access to Financial Accounts of the United States(Z.1)
Version: 0.1.0
Description: Flow of funds are financial accounts that are provided by Federal Reserve quarterly. The package contains all datasets <https://www.federalreserve.gov/datadownload/Choose.aspx?rel=z1>, tables <https://www.federalreserve.gov/apps/fof/FOFTables.aspx> and descriptions <https://www.federalreserve.gov/apps/fof/Guide/z1_tables_description.pdf> with functions to understand series <https://www.federalreserve.gov/apps/fof/SeriesStructure.aspx> and explore them.
URL: https://github.com/shaf1430/fedz1
BugReports: https://github.com/shaf1430/fedz1/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Suggests: testthat
NeedsCompilation: no
Packaged: 2023-01-27 22:02:34 UTC; 344920
Author: Hamid Shafiezadeh [aut, cre]
Maintainer: Hamid Shafiezadeh <shafiezadehhamid@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-30 16:20:08 UTC

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New package BT with initial version 0.3
Package: BT
Title: (Adaptive) Boosting Trees Algorithm
Version: 0.3
Date: 2023-01-25
Author: Gireg Willame [aut, cre, cph]
Maintainer: Gireg Willame <gireg.willame@gmail.com>
Depends: R (>= 4.0)
Imports: rpart, stats, statmod, parallel
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
Description: Performs (Adaptive) Boosting Trees for Poisson distributed response variables, using log-link function. The code approach is similar to the one used in 'gbm'/'gbm3'. Moreover, each tree in the expansion is built thanks to the 'rpart' package. This package is based on following books and articles Denuit, M., Hainaut, D., Trufin, J. (2019) <doi:10.1007/978-3-030-25820-7> Denuit, M., Hainaut, D., Trufin, J. (2019) <doi:10.1007/978-3-030-57556-4> Denuit, M., Hainaut, D., Trufin, J. (2019) <doi:10.1007/978-3-030-25827-6> Denuit, M., Hainaut, D., Trufin, J. (2022) <doi:10.1080/03461238.2022.2037016> Denuit, M., Huyghe, J., Trufin, J. (2022) <https://dial.uclouvain.be/pr/boreal/fr/object/boreal%3A244325/datastream/PDF_01/view> Denuit, M., Trufin, J., Verdebout, T. (2022) <https://dial.uclouvain.be/pr/boreal/fr/object/boreal%3A268577>.
URL: https://github.com/GiregWillame/BT/
BugReports: https://github.com/GiregWillame/BT/issues/
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-28 14:17:26 UTC; Gireg Willame
Repository: CRAN
Date/Publication: 2023-01-30 16:40:07 UTC

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New package baygel with initial version 0.1.0
Package: baygel
Title: Bayesian Estimators for Gaussian Graphical Models
Version: 0.1.0
Date: 2023-01-22
Description: Implements a Bayesian graphical ridge data-augmented block Gibbs sampler. The sampler simulates the posterior distribution of precision matrices of a Gaussian Graphical Model. This sampler is proposed in Smith, Arashi, and Bekker (2022) <doi:10.48550/arXiv.2210.16290>.
License: GPL (>= 3)
Imports: Rcpp (>= 1.0.8), RcppArmadillo (>= 0.11.1.1.0)
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Suggests: MASS, pracma
URL: https://github.com/Jarod-Smithy/baygel
NeedsCompilation: yes
Packaged: 2023-01-28 12:11:41 UTC; QXZ0GWG
Author: Jarod Smith [aut, cre] , Mohammad Arashi [aut] , Andriette Bekker [aut]
Maintainer: Jarod Smith <jarodsmith706@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-30 16:40:04 UTC

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New package CropScapeR with initial version 1.1.5
Package: CropScapeR
Title: Access Cropland Data Layer Data via the 'CropScape' Web Service
Version: 1.1.5
Description: Interface to easily access Cropland Data Layer (CDL) data for any area of interest via the 'CropScape' <https://nassgeodata.gmu.edu/CropScape/> web service.
Encoding: UTF-8
License: GPL (>= 2)
LazyData: true
Depends: R (>= 3.6.0)
Imports: dplyr (>= 0.8.3), magrittr (>= 1.5), raster (>= 3.0), sf (>= 0.8), data.table (>= 1.12.8), httr (>= 1.4.1), RJSONIO (>= 1.3), utils (>= 3.6.1)
NeedsCompilation: no
Packaged: 2023-01-30 03:03:45 UTC; BC
Author: Bowen Chen [aut, cre] , Benjamin Gramig [ctb], Taro Mieno [ctb]
Maintainer: Bowen Chen <bwchen0719@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-30 15:30:11 UTC

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New package HypergeoMat with initial version 4.0.2
Package: HypergeoMat
Title: Hypergeometric Function of a Matrix Argument
Version: 4.0.2
Author: Stephane Laurent
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Description: Evaluates the hypergeometric functions of a matrix argument, which appear in random matrix theory. This is an implementation of Koev & Edelman's algorithm (2006) <doi:10.1090/S0025-5718-06-01824-2>.
License: GPL-3
URL: https://github.com/stla/HypergeoMat
BugReports: https://github.com/stla/HypergeoMat/issues
Imports: EigenR, gsl, JuliaConnectoR, Rcpp (>= 1.0.2)
Suggests: Bessel, jack, knitr, rmarkdown, testthat
LinkingTo: Rcpp, RcppEigen
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2023-01-30 12:12:05 UTC; stla
Repository: CRAN
Date/Publication: 2023-01-30 13:10:02 UTC

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New package httpgd with initial version 1.3.1
Package: httpgd
Title: A 'HTTP' Server Graphics Device
Version: 1.3.1
Description: A graphics device for R that is accessible via network protocols. This package was created to make it easier to embed live R graphics in integrated development environments and other applications. The included 'HTML/JavaScript' client (plot viewer) aims to provide a better overall user experience when dealing with R graphics. The device asynchronously serves graphics via 'HTTP' and 'WebSockets'.
License: GPL (>= 2)
Depends: R (>= 3.2.0)
Imports: later (>= 1.1.0), systemfonts (>= 1.0.0)
LinkingTo: cpp11 (>= 0.2.4), BH (>= 1.75.0), later, systemfonts
Suggests: testthat, xml2 (>= 1.0.0), fontquiver (>= 0.2.0), knitr, rmarkdown
Encoding: UTF-8
SystemRequirements: C++17, libpng, cairo, freetype2, fontconfig
URL: https://github.com/nx10/httpgd, https://nx10.github.io/httpgd/
BugReports: https://github.com/nx10/httpgd/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-01-30 03:20:54 UTC; flo
Author: Florian Rupprecht [aut, cre] , Kun Ren [ctb], Tatsuya Shima [ctb], Jeroen Ooms [ctb] , Hadley Wickham [cph] , Lionel Henry [cph] , Thomas Lin Pedersen [cph] , T Jake Luciani [cph] , Matthieu Decorde [cph] , Vaudor Lise [cph] , Tony Plate [cph] , Davi [...truncated...]
Maintainer: Florian Rupprecht <floruppr@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-30 14:00:02 UTC

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New package graph4lg with initial version 1.8.0
Package: graph4lg
Title: Build Graphs for Landscape Genetics Analysis
Version: 1.8.0
Maintainer: Paul Savary <psavary@protonmail.com>
Description: Build graphs for landscape genetics analysis. This set of functions can be used to import and convert spatial and genetic data initially in different formats, import landscape graphs created with 'GRAPHAB' software (Foltete et al., 2012) <doi:10.1016/j.envsoft.2012.07.002>, make diagnosis plots of isolation by distance relationships in order to choose how to build genetic graphs, create graphs with a large range of pruning methods, weight their links with several genetic distances, plot and analyse graphs, compare them with other graphs. It uses functions from other packages such as 'adegenet' (Jombart, 2008) <doi:10.1093/bioinformatics/btn129> and 'igraph' (Csardi et Nepusz, 2006) <https://igraph.org/>. It also implements methods commonly used in landscape genetics to create graphs, described by Dyer et Nason (2004) <doi:10.1111/j.1365-294X.2004.02177.x> and Greenbaum et Fefferman (2017) <doi:10.1111/mec.14059>, and to analyse distance data (van Strien et [...truncated...]
Depends: R(>= 3.1.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: adegenet, ggplot2, stringr, igraph, stats, spatstat.geom, spatstat.linnet, Matrix, vegan, utils, methods, pegas, MASS, tidyr, sp, sf, hierfstat, rappdirs, gdistance, raster, foreign, ecodist, Rdpack
Suggests: knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2023-01-30 00:23:37 UTC; paul
Author: Paul Savary [aut, cre] , Gilles Vuidel [ctb] , Tyler Rudolph [ctb], Alexandrine Daniel [ctb]
Repository: CRAN
Date/Publication: 2023-01-30 14:00:05 UTC

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New package CensMFM with initial version 3.0
Package: CensMFM
Title: Finite Mixture of Multivariate Censored/Missing Data
Version: 3.0
Date: 2023-01-28
Imports: MomTrunc (>= 5.87), mvtnorm (>= 1.0.11), gridExtra, ggplot2, tlrmvnmvt (>= 1.1.0)
Suggests: mixsmsn
Description: It fits finite mixture models for censored or/and missing data using several multivariate distributions. Point estimation and asymptotic inference (via empirical information matrix) are offered as well as censored data generation. Pairwise scatter and contour plots can be generated. Possible multivariate distributions are the well-known normal, Student-t and skew-normal distributions. This package is an complement of Lachos, V. H., Moreno, E. J. L., Chen, K. & Cabral, C. R. B. (2017) <doi:10.1016/j.jmva.2017.05.005> for the multivariate skew-normal case.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-01-28 18:59:35 UTC; cgala
Author: Francisco H. C. de Alencar [aut, cre], Christian E. Galarza [aut], Larissa A. Matos [ctb], Victor H. Lachos [ctb]
Maintainer: Francisco H. C. de Alencar <hildemardealencar@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-30 14:00:10 UTC

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Sat, 28 Jan 2023

New package sdmTMB with initial version 0.3.0
Package: sdmTMB
Title: Spatial and Spatiotemporal SPDE-Based GLMMs with 'TMB'
Version: 0.3.0
Description: Implements spatial and spatiotemporal predictive-process GLMMs (Generalized Linear Mixed Effect Models) using 'TMB', 'INLA', and the SPDE (Stochastic Partial Differential Equation) approximation to Gaussian random fields. One common application is for spatially explicit (and optionally dynamic) species distribution models (SDMs). See Anderson et al. (2022) <doi:10.1101/2022.03.24.485545>.
License: GPL-3
Copyright: inst/COPYRIGHTS
URL: https://pbs-assess.github.io/sdmTMB/index.html, https://pbs-assess.github.io/sdmTMB/
BugReports: https://github.com/pbs-assess/sdmTMB/issues
Depends: R (>= 3.5.0)
Imports: assertthat, clisymbols, cli, fishMod, generics, glmmTMB, graphics, lifecycle, Matrix, methods, mgcv, mvtnorm, nlme, rlang, stats, TMB (>= 1.8.0)
Suggests: dplyr, effects (>= 4.0-1), estimability, emmeans (>= 1.4), future, future.apply, ggeffects, ggforce, ggplot2, INLA, knitr, lme4, rgdal, rmarkdown, sf, splancs, testthat, tibble, visreg
LinkingTo: RcppEigen, TMB
VignetteBuilder: knitr
Additional_repositories: https://inla.r-inla-download.org/R/stable
ByteCompile: true
Config/testthat/parallel: true
Encoding: UTF-8
LazyData: true
SystemRequirements: GNU make, C++17
NeedsCompilation: yes
Packaged: 2023-01-27 18:06:23 UTC; seananderson
Author: Sean C. Anderson [aut, cre] , Eric J. Ward [aut] , Lewis A. K. Barnett [aut] , Philina A. English [aut] , James T. Thorson [ctb, cph] , Joe Watson [ctb] , Julia Indivero [ctb] , Cole C. Monnahan [ctb, cph] , Mollie Brooks [ctb, cph] , Ben Bolker [ctb [...truncated...]
Maintainer: Sean C. Anderson <sean@seananderson.ca>
Repository: CRAN
Date/Publication: 2023-01-28 07:30:02 UTC

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Fri, 27 Jan 2023

New package glmmrMCML with initial version 0.2.2
Package: glmmrMCML
Title: Markov Chain Monte Carlo Maximum Likelihood for Generalised Linear Mixed Models
Version: 0.2.2
Date: 2023-01-27
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>
Description: Markov Chain Monte Carlo Maximum Likelihood model fitting for generalised linear mixed models. Uses the package 'glmmrBase' for model specification, see <https://github.com/samuel-watson/glmmrBase/blob/master/README.md> for a detailed manual on model specification.
License: GPL (>= 3)
Imports: methods, Rcpp (>= 1.0.7)
LinkingTo: glmmrBase (>= 0.2.3), BH, digest, SparseChol, Rcpp (>= 0.12.0), RcppEigen, RcppParallel (>= 5.0.1), rminqa (>= 0.2.2)
NeedsCompilation: yes
Author: Sam Watson [aut, cre], Yi Pan [aut]
URL: https://github.com/samuel-watson/glmmrMCML
BugReports: https://github.com/samuel-watson/glmmrMCML/issues
Suggests: testthat, cmdstanr (>= 0.4.0)
Biarch: true
Depends: R (>= 3.4.0), glmmrBase (>= 0.2.0), Matrix
SystemRequirements: GNU make
Encoding: UTF-8
Packaged: 2023-01-27 10:20:19 UTC; samue
Repository: CRAN
Date/Publication: 2023-01-27 20:40:02 UTC

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New package optiSel with initial version 2.0.6
Package: optiSel
Title: Optimum Contribution Selection and Population Genetics
Version: 2.0.6
Date: 2023-01-27
Author: Robin Wellmann
Maintainer: Robin Wellmann <r.wellmann@uni-hohenheim.de>
Depends: R (>= 3.5.0)
Description: A framework for the optimization of breeding programs via optimum contribution selection and mate allocation. An easy to use set of function for computation of optimum contributions of selection candidates, and of the population genetic parameters to be optimized. These parameters can be estimated using pedigree or genotype information, and include kinships, kinships at native haplotype segments, and breed composition of crossbred individuals. They are suitable for managing genetic diversity, removing introgressed genetic material, and accelerating genetic gain. Additionally, functions are provided for computing genetic contributions from ancestors, inbreeding coefficients, the native effective size, the native genome equivalent, pedigree completeness, and for preparing and plotting pedigrees.
License: GPL-2
Imports: Matrix, plyr, kinship2, nadiv, pedigree, pspline, stringr, MASS, methods, stats, purrr, graphics, quadprog, data.table, magic, parallel, doParallel, foreach, ECOSolveR, reshape2, optiSolve, Rcpp (>= 0.12.4)
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, ggplot2, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-01-27 09:50:20 UTC; rowel
Repository: CRAN
Date/Publication: 2023-01-27 17:10:02 UTC

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New package simIDM with initial version 0.0.5
Package: simIDM
Title: Simulating Oncology Trials using an Illness-Death Model
Version: 0.0.5
Description: Based on the illness-death model a large number of clinical trials with oncology endpoints progression-free survival (PFS) and overall survival (OS) can be simulated, see Meller, Beyersmann and Rufibach (2019) <doi:10.1002/sim.8295>. The simulation set-up allows for random and event-driven censoring, an arbitrary number of treatment arms, staggered study entry and drop-out. Exponentially, Weibull and piecewise exponentially distributed survival times can be generated.
License: Apache License 2.0
URL: https://github.com/insightsengineering/simIDM/
BugReports: https://github.com/insightsengineering/simIDM/issues
Depends: R (>= 3.6)
Imports: checkmate, stats
Suggests: coxphw, knitr, mvna, prodlim, rmarkdown, survival, testthat (>= 2.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2023-01-27 10:08:23 UTC; sabanesd
Author: Alexandra Erdmann [aut, cre], Kaspar Rufibach [aut], Daniel Sabanes Bove [ctb], F. Hoffmann-La Roche AG [cph, fnd], University of Ulm [cph, fnd]
Maintainer: Alexandra Erdmann <alexandra.erdmann@uni-ulm.de>
Repository: CRAN
Date/Publication: 2023-01-27 16:40:02 UTC

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New package RationalMatrix with initial version 1.0.0
Package: RationalMatrix
Title: Exact Matrix Algebra for Rational Matrices
Version: 1.0.0
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Description: Provides functions to deal with matrix algebra for matrices with rational entries: determinant, rank, image and kernel, inverse, Cholesky decomposition. All computations are exact.
License: GPL-3
URL: https://github.com/stla/RationalMatrix
BugReports: https://github.com/stla/RationalMatrix/issues
Imports: gmp, Rcpp (>= 1.0.9)
LinkingTo: BH, Rcpp, RcppEigen
Encoding: UTF-8
SystemRequirements: C++ 17, gmp
NeedsCompilation: yes
Packaged: 2023-01-27 13:10:50 UTC; stla
Author: Stephane Laurent [aut, cre]
Repository: CRAN
Date/Publication: 2023-01-27 16:50:09 UTC

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New package idarps with initial version 0.0.1
Package: idarps
Title: Datasets and Functions for the Class "Modelling and Data Analysis for Pharmaceutical Sciences"
Version: 0.0.1
Description: Provides datasets and functions for the class "Modelling and Data Analysis for Pharmaceutical Sciences". The datasets can be used to present various methods of data analysis and statistical modeling. Functions for data visualization and allowing to analyze the empirical distribution of the data are also implemented.
License: AGPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-01-27 09:23:56 UTC; lionel
Author: Lionel Voirol [aut, cre], Stephane Guerrier [aut]
Maintainer: Lionel Voirol <lionelvoirol@hotmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2023-01-27 16:40:06 UTC

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New package clugenr with initial version 0.1.0
Package: clugenr
Title: Multidimensional Cluster Generation Using Support Lines
Version: 0.1.0
Description: An implementation of the clugen algorithm for generating multidimensional clusters. Each cluster is supported by a line segment, the position, orientation and length of which guide where the respective points are placed. This package is described in Fachada & de Andrade (2023) <doi:10.48550/arXiv.2301.10327>.
Depends: R (>= 3.6.0)
Imports: mathjaxr
Suggests: devtools, ggplot2, knitr, lintr, patchwork, rgl, rmarkdown, roxygen2, testthat (>= 3.0.0)
License: MIT + file LICENSE
URL: https://github.com/clugen/clugenr
BugReports: https://github.com/clugen/clugenr/issues
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-26 17:15:28 UTC; nuno
Author: Nuno Fachada [aut, cre, cph]
Maintainer: Nuno Fachada <faken@fakenmc.com>
Repository: CRAN
Date/Publication: 2023-01-27 16:30:02 UTC

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New package mritc with initial version 0.5-3
Package: mritc
Title: MRI Tissue Classification
Date: 2023-01-26
Version: 0.5-3
Description: Implements various methods for tissue classification in magnetic resonance (MR) images of the brain, including normal mixture models and hidden Markov normal mixture models, as outlined in Feng & Tierney (2011) <doi:10.18637/jss.v044.i07>. These methods allow a structural MR image to be classified into gray matter, white matter and cerebrospinal fluid tissue types.
Depends: R (>= 2.14.0), lattice (>= 0.18-8), misc3d (>= 0.8-1), oro.nifti (>= 0.4.0)
Imports: methods
Suggests: tkrplot (>= 0.0-23)
License: GPL
URL: https://github.com/jonclayden/mritc
BugReports: https://github.com/jonclayden/mritc/issues
NeedsCompilation: yes
Packaged: 2023-01-27 12:28:18 UTC; jon
Author: Dai Feng [aut], Luke Tierney [aut], Jon Clayden [cre, aut]
Maintainer: Jon Clayden <code@clayden.org>
Repository: CRAN
Date/Publication: 2023-01-27 14:10:04 UTC

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New package templateICAr with initial version 0.6.2
Package: templateICAr
Title: Estimate Brain Networks and Connectivity with ICA and Empirical Priors
Version: 0.6.2
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>
Description: Implements the template ICA (independent components analysis) model proposed in Mejia et al. (2020) <doi:10.1080/01621459.2019.1679638> and the spatial template ICA model proposed in proposed in Mejia et al. (2022) <doi:10.1080/10618600.2022.2104289>. Both models estimate subject-level brain as deviations from known population-level networks, which are estimated using standard ICA algorithms. Both models employ an expectation-maximization algorithm for estimation of the latent brain networks and unknown model parameters. Includes direct support for 'CIFTI', 'GIFTI', and 'NIFTI' neuroimaging file formats.
Depends: R (>= 3.6.0)
License: GPL-3
Additional_repositories: https://inla.r-inla-download.org/R/testing
Encoding: UTF-8
Imports: abind, excursions, expm, fMRItools (>= 0.2.2), ica, Matrix, matrixStats, methods, pesel, Rcpp, SQUAREM, stats
Suggests: ciftiTools, RNifti, oro.nifti, gifti, covr, doParallel, foreach, knitr, rmarkdown, INLA, parallel, testthat (>= 3.0.0)
URL: https://github.com/mandymejia/templateICAr
BugReports: https://github.com/mandymejia/templateICAr/issues
LinkingTo: RcppEigen, Rcpp
NeedsCompilation: yes
Packaged: 2023-01-26 17:25:57 UTC; ddpham
Author: Amanda Mejia [aut, cre], Damon Pham [aut] , Daniel Spencer [ctb] , Mary Beth Nebel [ctb]
Repository: CRAN
Date/Publication: 2023-01-27 09:10:02 UTC

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New package MVT with initial version 0.3-8
Package: MVT
Version: 0.3-8
Date: 2023-01-26
Title: Estimation and Testing for the Multivariate t-Distribution
Author: Felipe Osorio
Maintainer: Felipe Osorio <felipe.osorios@usm.cl>
Description: Routines to perform estimation and inference under the multivariate t-distribution <doi:10.1007/s10182-022-00468-2>. Currently, the following methodologies are implemented: multivariate mean and covariance estimation, hypothesis testing about equicorrelation and homogeneity of variances, the Wilson-Hilferty transformation, QQ-plots with envelopes and random variate generation.
Depends: R(>= 3.5.0), fastmatrix
LinkingTo: fastmatrix
Imports: stats, utils, graphics
License: GPL-3
URL: http://mvt.mat.utfsm.cl/
NeedsCompilation: yes
LazyLoad: yes
Packaged: 2023-01-26 14:22:13 UTC; root
Repository: CRAN
Date/Publication: 2023-01-27 09:30:08 UTC

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Thu, 26 Jan 2023

New package mcr with initial version 1.3.2
Package: mcr
Version: 1.3.2
Date: 2023-01-24
Title: Method Comparison Regression
Maintainer: Sergej Potapov <sergej.potapov@roche.com>
Depends: R (>= 3.0.0), parallel, robslopes
Imports: stats, graphics, grDevices, methods
Description: Regression methods to quantify the relation between two measurement methods are provided by this package. In particular it addresses regression problems with errors in both variables and without repeated measurements. It implements the CLSI recommendations (see J. A. Budd et al. (2018, <https://clsi.org/standards/products/method-evaluation/documents/ep09/>) for analytical method comparison and bias estimation using patient samples. Furthermore, algorithms for Theil-Sen and equivariant Passing-Bablok estimators are implemented, see F. Dufey (2020, <doi:10.1515/ijb-2019-0157>) and J. Raymaekers and F. Dufey (2022, <arXiv:2202:08060>). A comprehensive overview over the implemented methods and references can be found in the manual pages "mcr-package" and "mcreg".
License: GPL (>= 3)
LazyData: true
NeedsCompilation: yes
Packaged: 2023-01-25 16:35:59 UTC; potapovs
Author: Sergej Potapov [aut, cre], Fabian Model [aut], Andre Schuetzenmeister [aut] , Ekaterina Manuilova [aut], Florian Dufey [aut] , Jakob Raymaekers [aut] , Roche [cph, fnd]
Repository: CRAN
Date/Publication: 2023-01-26 22:00:19 UTC

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New package vvfiller with initial version 0.6.7
Package: vvfiller
Title: Fill Data Points
Version: 0.6.7
Description: Provides numerous functions to fill data. These can be applied either to missing or skewed data. The functions are designed within the scope of Student Analytics.
URL: https://github.com/vusaverse/vvfiller
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: dplyr, purrr, rlang
NeedsCompilation: no
Packaged: 2023-01-25 14:51:36 UTC; tomer
Author: Tomer Iwan [aut, cre, cph]
Maintainer: Tomer Iwan <t.iwan@vu.nl>
Repository: CRAN
Date/Publication: 2023-01-26 18:50:02 UTC

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New package rhoneycomb with initial version 1.0.0
Package: rhoneycomb
Title: Analysis of Honeycomb Selection Designs
Version: 1.0.0
Description: A useful statistical tool for the construction and analysis of Honeycomb Selection Designs. More information about this type of designs: Fasoula V. (2013) <doi:10.1002/9781118497869.ch6> Fasoula V.A., and Tokatlidis I.S. (2012) <doi:10.1007/s13593-011-0034-0> Fasoulas A.C., and Fasoula V.A. (1995) <doi:10.1002/9780470650059.ch3> Tokatlidis I. (2016) <doi:10.1017/S0014479715000150> Tokatlidis I., and Vlachostergios D. (2016) <doi:10.3390/d8040029>.
Depends: R (>= 4.2)
License: GPL (>= 2)
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
Imports: stats, utils, graphics
NeedsCompilation: no
Packaged: 2023-01-26 15:53:31 UTC; User
Author: Anastasios Katsileros [aut], Nikos Antonetsis [aut, cre], Marietta Gkika [aut], Eleni Tani [aut], Ioannis Tokatlidis [aut], Penelope Bebeli [aut]
Maintainer: Nikos Antonetsis <stud610027@aua.gr>
Repository: CRAN
Date/Publication: 2023-01-26 19:00:02 UTC

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New package lolliplot with initial version 0.2.2
Package: lolliplot
Title: Plot Variants and Somatic Mutations
Version: 0.2.2
Maintainer: Zhang Renliang <zhang_renliang@163.com>
Description: Draw lolliplot using GRanges objects. this package was designed only for drawing lolliplot. So, it's faster than 'trackViewer', but un-related functions has been derived.
Depends: R (>= 3.5.0)
Imports: methods, scales, grDevices, IRanges, grid, grImport, GenomicRanges
Suggests: knitr, rmarkdown
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-01-26 12:25:54 UTC; zhang
Author: Zhang Renliang [aut, cre]
Repository: CRAN
Date/Publication: 2023-01-26 18:50:05 UTC

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New package itol.toolkit with initial version 1.0.0
Package: itol.toolkit
Title: Helper Functions for 'Interactive Tree Of Life'
Version: 1.0.0
Description: The 'Interactive Tree Of Life' <https://itol.embl.de/> online server can edit and annotate trees interactively. The 'itol.toolkit' package can support all types of annotation templates.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, stringr, stats, seqinr, utils, methods, Biostrings, tidyr, ape, data.table, purrr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2023-01-26 11:11:54 UTC; zhoutong
Author: Tong Zhou [aut, cre]
Maintainer: Tong Zhou <tongzhou2017@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-26 18:50:08 UTC

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New package fnets with initial version 0.1.1
Package: fnets
Title: Factor-Adjusted Network Estimation and Forecasting for High-Dimensional Time Series
Version: 0.1.1
Maintainer: Haeran Cho <haeran.cho@bristol.ac.uk>
Description: Implements methods for network estimation and forecasting of high-dimensional time series exhibiting strong serial and cross-sectional correlations under a factor-adjusted vector autoregressive model. See Barigozzi, Cho and Owens (2022) <arXiv:2201.06110> for further descriptions of FNETS methodology and Owens, Cho and Barigozzi (2023) <https://drive.google.com/file/d/1Rw-xgpijF8ZIBUzjIU9emr-ucAvAhKL4/view?usp=sharing> accompanying the R package.
Depends: R (>= 4.1.0)
Imports: lpSolve, parallel, doParallel, foreach, MASS, fields, igraph, RColorBrewer
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-01-25 10:09:51 UTC; do16317
Author: Matteo Barigozzi [aut], Haeran Cho [cre, aut], Dom Owens [aut]
Repository: CRAN
Date/Publication: 2023-01-26 18:40:02 UTC

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New package findPackage with initial version 0.2.0
Package: findPackage
Title: Find 'CRAN' Package by Topic
Version: 0.2.0
URL: <https://CRAN.R-project.org/package=findPackage>
Description: Finds 'CRAN' packages by the topic requested. The topic can be given as a character string or as a regular expression and will help users to locate 'CRAN' packages matching their specified requirement. findPackage(<string>) returns a data frame of packages with description containing the input string.
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-26 12:13:58 UTC; amarnath
Author: Amarnath Bose [aut, cre]
Maintainer: Amarnath Bose <amarnath.bose@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-26 18:50:12 UTC

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New package polished with initial version 0.8.0
Package: polished
Title: Authentication and Hosting for 'shiny' Apps
Version: 0.8.0
Maintainer: Andy Merlino <andy.merlino@tychobra.com>
Description: Authentication, user administration, hosting, and additional infrastructure for 'shiny' apps. See <https://polished.tech> for additional documentation and examples.
License: MIT + file LICENSE
URL: https://github.com/tychobra/polished, https://polished.tech
BugReports: https://github.com/tychobra/polished/issues
Encoding: UTF-8
Imports: automagic, digest, dplyr, desc, DT, htmltools, httr, jose, jsonlite, lubridate, otp, purrr, rlang, rmarkdown, shiny, shinycssloaders, shinydashboard, shinyFeedback, shinyjs, shinyWidgets, stats, stringr, tibble, tidyr, utils, uuid, yaml
Suggests: base64enc, config, knitr, plumber, testthat (>= 3.0.0), xfun
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-26 13:24:34 UTC; andy
Author: Andy Merlino [aut, cre], Patrick Howard [aut], Tychobra LLC [cph, fnd]
Repository: CRAN
Date/Publication: 2023-01-26 15:00:08 UTC

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New package scanstatistics with initial version 1.1.1
Package: scanstatistics
Title: Space-Time Anomaly Detection using Scan Statistics
Description: Detection of anomalous space-time clusters using the scan statistics methodology. Focuses on prospective surveillance of data streams, scanning for clusters with ongoing anomalies. Hypothesis testing is made possible by Monte Carlo simulation. Allévius (2018) <doi:10.21105/joss.00515>.
Version: 1.1.1
Date: 2023-01-25
Encoding: UTF-8
License: GPL (>= 3)
URL: https://github.com/promerpr/scanstatistics
BugReports: https://github.com/promerpr/scanstatistics/issues
Depends: R (>= 3.4)
Imports: dplyr, ismev, magrittr, plyr, Rcpp, stats, sets, tibble, tidyr
Suggests: purrr, doParallel, foreach, ggplot2, knitr, MASS, pscl, reshape2, rmarkdown, sp, testthat, gamlss.dist
VignetteBuilder: knitr
ByteCompile: true
SystemRequirements: C++11
LinkingTo: Rcpp, RcppArmadillo
LazyData: true
NeedsCompilation: yes
Packaged: 2023-01-25 19:57:56 UTC; promerpr
Author: Benjamin Allevius [aut], Paul Romer Present [ctb, cre]
Maintainer: Paul Romer Present <paul.romerpresent@fastmail.fm>
Repository: CRAN
Date/Publication: 2023-01-26 12:40:02 UTC

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New package pulsar with initial version 0.3.10
Package: pulsar
Title: Parallel Utilities for Lambda Selection along a Regularization Path
Version: 0.3.10
Encoding: UTF-8
Description: Model selection for penalized graphical models using the Stability Approach to Regularization Selection ('StARS'), with options for speed-ups including Bounded StARS (B-StARS), batch computing, and other stability metrics (e.g., graphlet stability G-StARS). Christian L. Müller, Richard Bonneau, Zachary Kurtz (2016) <arXiv:1605.07072>.
URL: https://github.com/zdk123/pulsar, https://arxiv.org/abs/1605.07072
BugReports: https://github.com/zdk123/pulsar/issues
Depends: R (>= 3.2.0)
License: GPL (>= 2)
Suggests: batchtools (>= 0.9.10), fs (>= 1.2.2), checkmate (>= 1.8.5), orca, huge, MASS, clime, glmnet, network, cluster, testthat, knitr, rmarkdown
Imports: methods, parallel, graphics, stats, utils, tools, Matrix
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-26 02:26:18 UTC; zkurtz
Author: Zachary Kurtz [aut, cre], Christian Mueller [aut, ctb]
Maintainer: Zachary Kurtz <zdkurtz@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-26 12:20:02 UTC

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New package palaeoSig with initial version 2.0-7
Package: palaeoSig
Title: Significance Tests for Palaeoenvironmental Reconstructions
Version: 2.0-7
URL: https://github.com/richardjtelford/palaeoSig
BugReports: https://github.com/richardjtelford/palaeoSig/issues
Depends: R (>= 2.10)
Suggests: fields, knitr, rmarkdown, gstat, sp, analogue
Imports: TeachingDemos, rioja, mgcv, MASS, tibble, dplyr, magrittr, ggplot2, forcats, assertr, vegan, rlang, ggrepel, tidyr, purrr
Description: Several tests of quantitative palaeoenvironmental reconstructions from microfossil assemblages, including the null model tests of the statistically significant of reconstructions developed by Telford and Birks (2011) <doi:10.1016/j.quascirev.2011.03.002>, and tests of the effect of spatial autocorrelation on transfer function model performance using methods from Telford and Birks (2009) <doi:10.1016/j.quascirev.2008.12.020> and Trachsel and Telford (2016) <doi:10.5194/cp-12-1215-2016>. Age-depth models with generalized mixed-effect regression from Heegaard et al (2005) <doi:10.1191/0959683605hl836rr> are also included.
License: GPL-3
LazyLoad: yes
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2023-01-25 20:08:39 UTC; gbsrt
Author: Richard Telford [aut, cre, cph], Mathias Trachsel [ctb]
Maintainer: Richard Telford <Richard.Telford@uib.no>
Repository: CRAN
Date/Publication: 2023-01-26 12:30:02 UTC

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New package matrixprofiler with initial version 0.1.9
Package: matrixprofiler
Title: Matrix Profile for R
Version: 0.1.9
Maintainer: Francisco Bischoff <fbischoff@med.up.pt>
Description: This is the core functions needed by the 'tsmp' package. The low level and carefully checked mathematical functions are here. These are implementations of the Matrix Profile concept that was created by CS-UCR <http://www.cs.ucr.edu/~eamonn/MatrixProfile.html>.
License: GPL-3
URL: https://github.com/matrix-profile-foundation/matrixprofiler
BugReports: https://github.com/matrix-profile-foundation/matrixprofiler/issues
Depends: R (>= 4.1)
Imports: checkmate (>= 2.1.0), Rcpp (>= 1.0.9), RcppParallel (>= 5.1.5)
Suggests: debugme (>= 1.1.0), spelling (>= 2.2.0), testthat (>= 3.1.4), xml2 (>= 1.3.3)
LinkingTo: Rcpp (>= 1.0.9), RcppParallel (>= 5.1.5), RcppProgress (>= 0.4.2), RcppThread (>= 2.1.3)
Config/testthat/parallel: false
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: yes
SystemRequirements: GNU make
Packaged: 2023-01-26 02:13:50 UTC; franz
Author: Francisco Bischoff [aut, cre] , Michael Yeh [res, ccp, ctb] , Diego Silva [res, ccp, ctb] , Yan Zhu [res, ccp, ctb] , Hoang Dau [res, ccp, ctb] , Michele Linardi [res, ccp, ctb]
Repository: CRAN
Date/Publication: 2023-01-26 12:30:06 UTC

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New package tangram with initial version 0.8.2
Package: tangram
Title: The Grammar of Tables
Version: 0.8.2
Description: Provides an extensible formula system to quickly and easily create production quality tables. The processing steps are a formula parser, statistical content generation from data as defined by formula, followed by rendering into a table. Each step of the processing is separate and user definable thus creating a set of composable building blocks for highly customizable table generation. A user is not limited by any of the choices of the package creator other than the formula grammar. For example, one could chose to add a different S3 rendering function and output a format not provided in the default package, or possibly one would rather have Gini coefficients for their statistical content in a resulting table. Routines to achieve New England Journal of Medicine style, Lancet style and Hmisc::summaryM() statistics are provided. The package contains rendering for HTML5, Rmarkdown and an indexing format for use in tracing and tracking are provided.
Author: Shawn Garbett [aut, cre], Thomas Stewart [ctb], Jennifer Thompson [ctb], Frank Harrell [ctb], Ahra Kim [ctb]
Maintainer: Shawn Garbett <Shawn.Garbett@vumc.org>
Depends: R (>= 3.5.0), R6, magrittr, knitr
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: testthat, rms, rmarkdown, Hmisc, sandwich, dplyr, Matching, epitools
Imports: stringi, stringr, base64enc, digest, htmltools
NeedsCompilation: no
URL: https://github.com/spgarbet/tangram
BugReports: https://github.com/spgarbet/tangram/issues
Packaged: 2023-01-25 16:21:42 UTC; garbetsp
Repository: CRAN
Date/Publication: 2023-01-26 10:20:02 UTC

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New package neatR with initial version 0.1.0
Package: neatR
Title: Neat Data for Presentation
Version: 0.1.0
Description: Utilities for unambiguous, neat and legible representation of data (date, time stamp, numbers, percentages and strings) for presentation of analysis , aiming for elegance and consistency. The purpose of this package is to format data, that is better for presentation and any automation jobs that reports numbers.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table, magrittr, tools
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-01-26 01:34:28 UTC; shiva
Author: Shivaprakash Suresh [aut, cre, cph]
Maintainer: Shivaprakash Suresh <dswithai@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-26 10:30:02 UTC

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New package polyglotr with initial version 1.0.2
Package: polyglotr
Title: Translate Text
Version: 1.0.2
Description: The goal of the this package is to provide easy methods to translate pieces of text. Functions send requests to translation services online.
License: MIT + file LICENSE
URL: https://github.com/Tomeriko96/polyglotr/
Encoding: UTF-8
Imports: httr, magrittr, rvest, stringr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-25 14:57:18 UTC; tomer
Author: Tomer Iwan [aut, cre, cph]
Maintainer: Tomer Iwan <t.iwan@vu.nl>
Repository: CRAN
Date/Publication: 2023-01-26 10:00:02 UTC

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New package interpret with initial version 0.1.28
Package: interpret
Title: Fit Interpretable Machine Learning Models
Version: 0.1.28
Date: 2023-01-25
Description: Package for training interpretable machine learning models. Historically, the most interpretable machine learning models were not very accurate, and the most accurate models were not very interpretable. Microsoft Research has developed an algorithm called the Explainable Boosting Machine (EBM) which has both high accuracy and interpretable characteristics. EBM uses machine learning techniques like bagging and boosting to breathe new life into traditional GAMs (Generalized Additive Models). This makes them as accurate as random forests and gradient boosted trees, and also enhances their intelligibility and editability. Details on the EBM algorithm can be found in the paper by Rich Caruana, Yin Lou, Johannes Gehrke, Paul Koch, Marc Sturm, and Noemie Elhadad (2015, <doi:10.1145/2783258.2788613>).
URL: https://github.com/interpretml/interpret
BugReports: https://github.com/interpretml/interpret/issues
License: MIT + file LICENSE
Depends: R (>= 3.0.0)
NeedsCompilation: yes
SystemRequirements: C++11
Packaged: 2023-01-25 14:09:31 UTC; admins
Author: Samuel Jenkins [aut], Harsha Nori [aut], Paul Koch [aut], Rich Caruana [aut, cre], Microsoft Corporation [cph]
Maintainer: Rich Caruana <interpretml@outlook.com>
Repository: CRAN
Date/Publication: 2023-01-26 09:50:02 UTC

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New package injurytools with initial version 1.0.0
Package: injurytools
Title: A Toolkit for Sports Injury Data Analysis
Version: 1.0.0
Description: Sports Injury Data analysis aims to identify and describe the magnitude of the injury problem, and to gain more insights (e.g. determine potential risk factors) by statistical modelling approaches. The 'injurytools' package provides standardized routines and utilities that simplify such analyses. It offers functions for data preparation, informative visualizations and descriptive and model-based analyses.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: covr, gridExtra, kableExtra, knitr, RColorBrewer, rmarkdown, spelling, testthat (>= 3.0.0)
Language: en-US
Imports: checkmate, dplyr, forcats, ggplot2, lubridate, magrittr, metR, purrr, rlang, stats, stringr, tidyr, tidyselect, withr
Depends: R (>= 2.10)
VignetteBuilder: knitr
URL: https://github.com/lzumeta/injurytools, https://lzumeta.github.io/injurytools/
BugReports: https://github.com/lzumeta/injurytools/issues
NeedsCompilation: no
Packaged: 2023-01-25 10:07:55 UTC; lzumeta
Author: Lore Zumeta Olaskoaga [aut, cre] , Dae-Jin Lee [aut]
Maintainer: Lore Zumeta Olaskoaga <lzumeta@bcamath.org>
Repository: CRAN
Date/Publication: 2023-01-26 09:40:06 UTC

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Wed, 25 Jan 2023

New package groupedSurv with initial version 1.0.5
Package: groupedSurv
Title: Efficient Estimation of Grouped Survival Models Using the Exact Likelihood Function
Version: 1.0.5
Date: 2023-01-24
Author: Jiaxing Lin [aut], Alexander Sibley [aut], Tracy Truong [aut], Kouros Owzar [aut], Zhiguo Li [aut], Layne Rogers [ctb], Yu Jiang [ctb], Janice McCarthy [ctb], Andrew Allen [ctb]
Maintainer: Alexander Sibley <dcibioinformatics@duke.edu>
Description: These 'Rcpp'-based functions compute the efficient score statistics for grouped time-to-event data (Prentice and Gloeckler, 1978), with the optional inclusion of baseline covariates. Functions for estimating the parameter of interest and nuisance parameters, including baseline hazards, using maximum likelihood are also provided. A parallel set of functions allow for the incorporation of family structure of related individuals (e.g., trios). Note that the current implementation of the frailty model (Ripatti and Palmgren, 2000) is sensitive to departures from model assumptions, and should be considered experimental. For these data, the exact proportional-hazards-model-based likelihood is computed by evaluating multiple variable integration. The integration is accomplished using the 'Cuba' library (Hahn, 2005), and the source files are included in this package. The maximization process is carried out using Brent's algorithm, with the C++ code file from John Burkardt and John Denker (Brent [...truncated...]
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.4), doParallel, parallel, foreach, qvalue
LinkingTo: Rcpp, RcppEigen, BH
Suggests: knitr, snplist, BEDMatrix
VignetteBuilder: knitr
BuildVignettes: yes
NeedsCompilation: yes
Packaged: 2023-01-24 18:10:11 UTC; lwr11
Repository: CRAN
Date/Publication: 2023-01-25 14:20:02 UTC

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New package clarify with initial version 0.1.0
Package: clarify
Title: Simulation-Based Inference for Regression Models
Version: 0.1.0
Description: Performs simulation-based inference as an alternative to the delta method for obtaining valid confidence intervals and p-values for regression post-estimation quantities, such as average marginal effects and predictions at representative values. This framework for simulation-based inference is especially useful when the resulting quantity is not normally distributed and the delta method approximation fails. The methodology is described in King, Tomz, and Wittenberg (2000) <doi:10.2307/2669316>. 'clarify' is meant to replace some of the functionality of the archived package 'Zelig'; see the vignette "Translating Zelig to clarify" for replicating this functionality.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: ggplot2, pbapply, chk (>= 0.8.1), rlang, insight (>= 0.18.8), marginaleffects (>= 0.8.1), mvnfast
Suggests: testthat (>= 3.0.0), MatchIt (>= 4.0.0), parallel, knitr, rmarkdown, Amelia, MASS, betareg, survey, estimatr, fixest, logistf, geepack, rms, robustbase, robust, AER, ivreg, mgcv, sandwich
URL: https://github.com/iqss/clarify, https://iqss.github.io/clarify/
BugReports: https://github.com/iqss/clarify/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-25 03:58:24 UTC; NoahGreifer
Author: Noah Greifer [aut, cre] , Steven Worthington [aut] , Stefano Iacus [aut] , Gary King [aut]
Maintainer: Noah Greifer <ngreifer@iq.harvard.edu>
Repository: CRAN
Date/Publication: 2023-01-25 10:10:10 UTC

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New package AnanseSeurat with initial version 1.1.0
Package: AnanseSeurat
Title: Construct ANANSE GRN-Analysis Seurat
Version: 1.1.0
Description: Enables gene regulatory network (GRN) analysis on single cell clusters, using the GRN analysis software 'ANANSE', Xu et al.(2021) <doi:10.1093/nar/gkab598>. Export data from 'Seurat' objects, for GRN analysis by 'ANANSE' implemented in 'snakemake'. Finally, incorporate results for visualization and interpretation.
License: Apache License (>= 2)
BugReports: https://github.com/JGASmits/AnanseSeurat/issues
URL: https://github.com/JGASmits/AnanseSeurat/
Encoding: UTF-8
Imports: dplyr, ggplot2, ggpubr, magrittr, patchwork, png, purrr, rlang, Seurat, stringr, utils
Suggests: covr, knitr, rmarkdown, Signac, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 3.50)
NeedsCompilation: no
Packaged: 2023-01-25 09:13:52 UTC; jsmits
Author: Jos Smits [aut, cre, cph] , Huiqing Jo Zhou [aut, fnd, cph]
Maintainer: Jos Smits <Jsmits@science.ru.nl>
Repository: CRAN
Date/Publication: 2023-01-25 10:10:18 UTC

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New package SK4FGA with initial version 0.1.0
Package: SK4FGA
Title: Scott-Knott for Forensic Glass Analysis
Version: 0.1.0
Maintainer: Toby Hayward <tobyhayward13@gmail.com>
Description: In forensics, it is common and effective practice to analyse glass fragments from the scene and suspects to gain evidence of placing a suspect at the crime scene. This kind of analysis involves comparing the physical and chemical attributes of glass fragments that exist on both the person and at the crime scene, and assessing the significance in a likeness that they share. The package implements the Scott-Knott Modification 2 algorithm (SKM2) (Christopher M. Triggs and James M. Curran and John S. Buckleton and Kevan A.J. Walsh (1997) <doi:10.1016/S0379-0738(96)02037-3> "The grouping problem in forensic glass analysis: a divisive approach", Forensic Science International, 85(1), 1--14) for small sample glass fragment analysis using the refractive index (ri) of a set of glass samples. It also includes an experimental multivariate analog to the Scott-Knott algorithm for similar analysis on glass samples with multiple chemical concentration variables and multiple samples of the same [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
LinkingTo: Rcpp
Imports: Rcpp
NeedsCompilation: yes
Packaged: 2023-01-25 01:13:35 UTC; tobiw
Author: Toby Hayward [aut, cre] , James Curran [aut, ctb] , Lewis Kendall-Jones [ctb]
Repository: CRAN
Date/Publication: 2023-01-25 10:00:02 UTC

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New package BayesDLMfMRI with initial version 0.0.1
Package: BayesDLMfMRI
Title: Statistical Analysis for Task-Based Fmri Data
Version: 0.0.1
Date: 2023-01-23
URL: https://github.com/JohnatanLAB/BayesDLMfMRI/
Maintainer: Carlos Perez <caaperezag@unal.edu.co>
Description: The 'BayesDLMfMRI' package performs statistical analysis for task-based functional magnetic resonance imaging (fMRI) data at both individual and group levels. The analysis to detect brain activation at the individual level is based on modeling the fMRI signal using Matrix-Variate Dynamic Linear Models (MDLM). The analysis for the group stage is based on posterior distributions of the state parameter obtained from the modeling at the individual level. In this way, this package offers several R functions with different algorithms to perform inference on the state parameter to assess brain activation for both individual and group stages. Those functions allow for parallel computation when the analysis is performed for the entire brain as well as analysis at specific voxels when it is required. References: Cardona-Jiménez (2017) <doi:10.1016/j.csda.2021.107297>; Cardona-Jiménez (2018) <arXiv:2111.01318>.
License: GPL-2
Imports: abind, oro.nifti, pbapply, Rcpp (>= 1.0.4), Rdpack, mathjaxr
LinkingTo: Rcpp, RcppArmadillo, RcppDist
Encoding: UTF-8
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: yes
Packaged: 2023-01-25 02:13:43 UTC; carlos
Author: Johnatan Cardona-Jimenez [aut], Carlos Perez [cre, aut], Isabel Ramirez [aut]
Repository: CRAN
Date/Publication: 2023-01-25 10:00:05 UTC

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New package mnda with initial version 1.0.9
Package: mnda
Title: Multiplex Network Differential Analysis (MNDA)
Version: 1.0.9
Description: Interactions between different biological entities are crucial for the function of biological systems. In such networks, nodes represent biological elements, such as genes, proteins and microbes, and their interactions can be defined by edges, which can be either binary or weighted. The dysregulation of these networks can be associated with different clinical conditions such as diseases and response to treatments. However, such variations often occur locally and do not concern the whole network. To capture local variations of such networks, we propose multiplex network differential analysis (MNDA). MNDA allows to quantify the variations in the local neighborhood of each node (e.g. gene) between the two given clinical states, and to test for statistical significance of such variation. Yousefi et al. (2023) <doi:10.1101/2023.01.22.525058>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: assertthat, igraph, Matrix, keras, tensorflow, reticulate, MASS, ggraph, ggplot2, aggregation, usethis, magrittr, stats, graphics
NeedsCompilation: no
Packaged: 2023-01-24 22:21:54 UTC; behnam
Author: Behnam Yousefi [aut, cre, cph], Farzaneh Firoozbakht [aut]
Maintainer: Behnam Yousefi <yousefi.bme@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-25 08:30:02 UTC

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New package amazonspR with initial version 0.1.0
Package: amazonspR
Title: Get Amazon Sp Data via the 'Windsor.ai' API
Version: 0.1.0
Description: Collect your data on digital marketing campaigns from Amazon Sp using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.
License: GPL-3
URL: https://windsor.ai/
Depends: R (>= 3.5.0)
Imports: jsonlite (>= 1.7.2)
Suggests: knitr, rmarkdown, dplyr, ggplot2, tidyr, curl
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2023-01-24 19:31:01 UTC; pablo
Author: Pablo Sanchez [cre, aut], Windsor.ai [cph]
Maintainer: Pablo Sanchez <pablosama@outlook.es>
Repository: CRAN
Date/Publication: 2023-01-25 08:30:05 UTC

More information about amazonspR at CRAN
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New package poolHelper with initial version 1.0.0
Package: poolHelper
Title: Simulates Pooled Sequencing Genetic Data
Version: 1.0.0
Description: Simulates pooled sequencing data under a variety of conditions. Also allows for the evaluation of the average absolute difference between allele frequencies computed from genotypes and those computed from pooled data. Carvalho et al., (2022) <doi:10.1101/2023.01.20.524733>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: MCMCpack, Metrics, scrm, stats
Suggests: knitr, rmarkdown, ggplot2, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/joao-mcarvalho/poolHelper
BugReports: https://github.com/joao-mcarvalho/poolHelper/issues
NeedsCompilation: no
Packaged: 2023-01-24 13:57:28 UTC; jcarvalho
Author: Joao Carvalho [aut, cre] , Vitor Sousa [aut]
Maintainer: Joao Carvalho <jgcarvalho@fc.ul.pt>
Repository: CRAN
Date/Publication: 2023-01-25 08:00:10 UTC

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New package play with initial version 0.1.3
Package: play
Title: Visualize Sports Data
Version: 0.1.3
Description: Provides functions to visualise sports data. Converts data into a format suitable for plotting charts. Helps to ease the process of working with messy sports data to a more user friendly format. Football data is accessed through 'worldfootballR' '<https://github.com/JaseZiv/worldfootballR>' which gets data from 'FBref' <https://fbref.com/en>, 'Transfermarkt' <https://www.transfermarkt.com/>, 'Understat' <https://understat.com/>, and 'fotmob' <https://www.fotmob.com/>.
URL: https://joe-chelladurai.github.io/play/
BugReports: https://github.com/joe-chelladurai/play/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, forcats, ggplot2, purrr, stringr, tibble, tidyr, worldfootballR
NeedsCompilation: no
Packaged: 2023-01-24 15:56:16 UTC; Home
Author: Joe Chelladurai [aut, cre]
Maintainer: Joe Chelladurai <joe.chelladurai@yahoo.com>
Repository: CRAN
Date/Publication: 2023-01-25 08:00:13 UTC

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New package actuaRE with initial version 0.1.2
Package: actuaRE
Title: Handling Hierarchically Structured Risk Factors using Random Effects Models
Version: 0.1.2
Description: Using this package, you can fit a random effects model using either the hierarchical credibility model, a combination of the hierarchical credibility model with a generalized linear model or a Tweedie generalized linear mixed model. See Campo, B.D.C. and Antonio, K. (2022) <arXiv:2206.15244>.
License: GPL (>= 3)
Depends: R (>= 3.5.0), stats, methods, cplm
Imports: statmod, nlme, lme4, magrittr, speedglm, data.table, ggplot2, knitr
Suggests: plyr, insuranceData, actuar, utils, lattice
LazyData: true
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://bavodc.github.io/websiteactuaRE/index.html
NeedsCompilation: no
Packaged: 2023-01-24 15:17:35 UTC; u0095171
Author: Campo Bavo D.C. [aut, cre]
Maintainer: Campo Bavo D.C. <bavo.decock@kuleuven.be>
Repository: CRAN
Date/Publication: 2023-01-25 08:00:31 UTC

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Tue, 24 Jan 2023

New package PERK with initial version 0.0.9.1
Package: PERK
Title: Predicting Environmental Concentration and Risk
Version: 0.0.9.1
Description: A Shiny Web Application to predict and visualize concentrations of pharmaceuticals in the aqueous environment. Jagadeesan K., Barden R. and Kasprzyk-Hordern B. (2022) <https://www.ssrn.com/abstract=4306129>.
License: GPL (>= 3)
URL: https://github.com/jkkishore85/PERK/, https://jkkishore85.github.io/PERK/
BugReports: https://github.com/jkkishore85/PERK/issues
Depends: bs4Dash, DT, shiny, stats, tibble, utils
Imports: colourpicker, config (>= 0.3.1), dplyr, forcats, ggplot2, golem (>= 0.3.3), grDevices, magrittr, plotly, readr, shinyjs, shinyWidgets, tidyr, tools, viridis, zoo
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2023-01-23 21:26:16 UTC; kjj28
Author: Kishore Kumar Jagadeesan [cre, aut, cph]
Maintainer: Kishore Kumar Jagadeesan <jkkishore85@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-24 15:40:22 UTC

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New package networkLite with initial version 1.0.0
Package: networkLite
Version: 1.0.0
Date: 2023-01-23
Title: An Simplified Implementation of the 'network' Package Functionality
Description: An implementation of some of the core 'network' package functionality based on a simplified data structure that is faster in many research applications. This package is designed for back-end use in the 'statnet' family of packages, including 'EpiModel'. Support is provided for binary and weighted, directed and undirected, bipartite and unipartite networks; no current support for multigraphs, hypergraphs, or loops.
Maintainer: Samuel Jenness <samuel.m.jenness@emory.edu>
License: GPL-3
URL: https://github.com/EpiModel/networkLite/
BugReports: https://github.com/EpiModel/networkLite/issues
Depends: R (>= 3.5), network (>= 1.17.2)
Imports: statnet.common (>= 4.6.0), tibble, dplyr
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-01-23 19:14:33 UTC; sjennes
Author: Samuel Jenness [cre, aut], Steven M. Goodreau [aut], Martina Morris [aut], Adrien Le Guillou [aut], Chad Klumb [aut], Skye Bender-deMoll [ctb]
Repository: CRAN
Date/Publication: 2023-01-24 15:30:02 UTC

More information about networkLite at CRAN
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New package hbal with initial version 1.2.8
Package: hbal
Title: Hierarchically Regularized Entropy Balancing
Version: 1.2.8
Date: 2023-01-23
Maintainer: Yiqing Xu <yiqingxu@stanford.edu>
Description: Implements hierarchically regularized entropy balancing proposed by Xu and Yang (2022) <doi:10.1017/pan.2022.12>. The method adjusts the covariate distributions of the control group to match those of the treatment group. 'hbal' automatically expands the covariate space to include higher order terms and uses cross-validation to select variable penalties for the balancing conditions.
URL: https://yiqingxu.org/packages/hbal/
License: MIT + file LICENSE
Depends: R (>= 3.6.0)
Imports: Rcpp (>= 1.0.1), estimatr, glmnet, gtable, gridExtra, ggplot2, stringr, nloptr
Suggests: MASS, knitr, rmarkdown, broom, ebal
LinkingTo: Rcpp, RcppEigen
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2023-01-23 20:41:40 UTC; yiqingxu
Author: Yiqing Xu [aut, cre] , Eddie Yang [aut]
Repository: CRAN
Date/Publication: 2023-01-24 15:30:05 UTC

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New package TOSI with initial version 0.2.0
Package: TOSI
Title: Two-Directional Simultaneous Inference for High-Dimensional Models
Version: 0.2.0
Date: 2023-01-23
Author: Wei Liu [aut, cre], Huazhen Lin [aut]
Maintainer: Wei Liu <weiliu@smail.swufe.edu.cn>
Description: A general framework of two directional simultaneous inference is provided for high-dimensional as well as the fixed dimensional models with manifest variable or latent variable structure, such as high-dimensional mean models, high- dimensional sparse regression models, and high-dimensional latent factors models. It is making the simultaneous inference on a set of parameters from two directions, one is testing whether the estimated zero parameters indeed are zero and the other is testing whether there exists zero in the parameter set of non-zero. More details can be referred to Wei Liu, et al. (2022) <doi:10.48550/arXiv.2012.11100>.
Depends: R (>= 4.0.0)
Imports: MASS, hdi, scalreg, glmnet
URL: https://github.com/feiyoung/TOSI
BugReports: https://github.com/feiyoung/TOSI/issues
License: GPL
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-01-23 12:48:11 UTC; Liuxianju
Repository: CRAN
Date/Publication: 2023-01-24 10:30:04 UTC

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New package stRoke with initial version 23.1.7
Package: stRoke
Title: Clinical Stroke Research
Version: 23.1.7
Description: This is an R-toolbox of custom functions for convenient data management and analysis in clinical health research and teaching. The package is mainly collected for personal use, but any use beyond that is encouraged. This package has migrated functions from 'agdamsbo/daDoctoR', and new functions has been added. Version follows months and year. See NEWS/Changelog for release notes. This package includes sampled data from the TALOS trial (Kraglund et al (2018) <doi:10.1161/STROKEAHA.117.020067>). The win_prob() function is based on work by Zou et al (2022) <doi:10.1161/STROKEAHA.121.037744>. The age_calc() function is based on work by Becker (2020) <doi:10.18637/jss.v093.i02>.
URL: https://agdamsbo.github.io/stRoke/, https://github.com/agdamsbo/stRoke
BugReports: https://github.com/agdamsbo/stRoke/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Language: en-US
Imports: dplyr, ggplot2, gtsummary, MASS, rankinPlot, stats, tidyr, utils
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-23 11:27:19 UTC; au301842
Author: Andreas Gammelgaard Damsbo [aut, cre]
Maintainer: Andreas Gammelgaard Damsbo <agdamsbo@clin.au.dk>
Repository: CRAN
Date/Publication: 2023-01-24 10:20:09 UTC

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New package StochBlock with initial version 0.1.2
Package: StochBlock
Title: Stochastic Blockmodeling of One-Mode and Linked Networks
Version: 0.1.2
Date: 2023-01-20
Maintainer: Ales Ziberna <ales.ziberna@fdv.uni-lj.si>
Description: Stochastic blockmodeling of one-mode and linked networks as implemented in Škulj and Žiberna (2022) <doi:10.1016/j.socnet.2022.02.001>. The optimization is done via CEM (Classification Expectation Maximization) algorithm that can be initialized by random partitions or the results of k-means algorithm. The development of this package is financially supported by the Slovenian Research Agency (<https://www.arrs.si/>) within the research programs P5-0168 and the research projects J7-8279 (Blockmodeling multilevel and temporal networks) and J5-2557 (Comparison and evaluation of different approaches to blockmodeling dynamic networks by simulations with application to Slovenian co-authorship networks).
License: GPL (>= 2)
Imports: blockmodeling, doParallel, doRNG, foreach, Rcpp (>= 1.0.0)
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2023-01-23 06:21:33 UTC; zibernaa
Author: Ales Ziberna [aut, cre] , Fabio Ashtar Telarico [ctb]
Repository: CRAN
Date/Publication: 2023-01-24 10:20:12 UTC

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New package shiny.fluent with initial version 0.3.0
Package: shiny.fluent
Title: Microsoft Fluent UI for Shiny Apps
Version: 0.3.0
Description: A rich set of UI components for building Shiny applications, including inputs, containers, overlays, menus, and various utilities. All components from Fluent UI (the underlying JavaScript library) are available and have usage examples in R.
URL: https://appsilon.github.io/shiny.fluent/, https://github.com/appsilon/shiny.fluent
License: LGPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Depends: R (>= 2.10)
Imports: htmltools, jsonlite, rlang, shiny, shiny.react (>= 0.3.0)
Suggests: dplyr, DT, ggplot2, glue, knitr, leaflet, mockery, plotly, purrr, rcmdcheck, RColorBrewer, rmarkdown, sass, shiny.router, stringi, testthat (>= 3.0.0), tibble, tidyverse, withr
NeedsCompilation: no
Packaged: 2023-01-23 14:45:14 UTC; kamil
Author: Kamil Zyla [aut, cre], Jakub Sobolewski [aut], Marek Rogala [aut], Appsilon Sp. z o.o. [cph]
Maintainer: Kamil Zyla <opensource+kamil@appsilon.com>
Repository: CRAN
Date/Publication: 2023-01-24 10:40:05 UTC

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New package k5 with initial version 0.0.5
Package: k5
Title: Kiernan Nicholls Miscellaneous
Version: 0.0.5
Description: Quality of life functions for interactive programming. Shortcuts for common combinations of functions or different default arguments. Not to be used in production level scripts, but useful for exploring and quickly manipulating data for easy analysis. Also imports a variety of packages to facilitate the installation of those imported packages on the host machine.
License: GPL-3
URL: https://github.com/kiernann/k5, https://kiernann.github.io/k5/
BugReports: https://github.com/kiernann/k5/issues
Depends: R (>= 2.10)
Imports: aws.s3 (>= 0.3.21), clipr (>= 0.8.0), dplyr (>= 1.0.10), fs (>= 1.5.2), ggplot2 (>= 3.4.0), glue (>= 1.6.2), lubridate (>= 1.9.0), magrittr (>= 2.0.3), pacman (>= 0.5.1), readr (>= 2.1.3), stringr (>= 1.5.0), tibble (>= 3.1.8), usethis (>= 2.1.6), utils
Suggests: covr (>= 3.6.1), crayon (>= 1.5.2), gluedown (>= 1.0.6), here (>= 1.0.1), httr (>= 1.4.4), janitor (>= 2.1.0), knitr (>= 1.41), readxl (>= 1.4.1), rvest (>= 1.0.3), scales (>= 1.2.1), testthat (>= 3.1.6)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-01-23 16:17:09 UTC; kiernan
Author: Kiernan Nicholls [aut, cre]
Maintainer: Kiernan Nicholls <kiernann@protonmail.com>
Repository: CRAN
Date/Publication: 2023-01-24 10:50:02 UTC

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New package jtdm with initial version 0.1-0
Package: jtdm
Title: Joint Modelling of Functional Traits
Version: 0.1-0
Description: Fitting and analyzing a Joint Trait Distribution Model. The Joint Trait Distribution Model is implemented in the Bayesian framework using conjugate priors and posteriors, thus guaranteeing fast inference. In particular the package computes joint probabilities and multivariate confidence intervals, and enables the investigation of how they depend on the environment through partial response curves.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: ggforce, mniw, mvtnorm, parallel, stats, utils, ggplot2, gridExtra, reshape2
Depends: R (>= 3.5.0)
URL: https://github.com/giopogg/jtdm, https://giopogg.github.io/jtdm/
VignetteBuilder: knitr
BugReports: https://github.com/giopogg/jtdm/issues
Suggests: knitr, rmarkdown, devtools
NeedsCompilation: no
Packaged: 2023-01-23 16:44:56 UTC; poggiatg
Author: Giovanni Poggiato [aut, cre, cph]
Maintainer: Giovanni Poggiato <giov.poggiato@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-24 10:50:05 UTC

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New package brada with initial version 1.0
Package: brada
Title: Bayesian Response-Adaptive Design Analysis
Version: 1.0
Date: 2023-01-18
Description: Provides access to a range of functions for analyzing, applying and visualizing Bayesian response-adaptive trial designs for a binary endpoint. Includes the predictive probability approach and the predictive evidence value designs for binary endpoints.
Imports: methods, fbst, extraDistr, doParallel, foreach, parallel, doSNOW, progress, cli
Suggests: knitr, rmarkdown, DT
License: GPL-3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-23 14:46:54 UTC; riko
Author: Riko Kelter [aut, cre]
Maintainer: Riko Kelter <riko.kelter@uni-siegen.de>
Repository: CRAN
Date/Publication: 2023-01-24 10:40:11 UTC

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New package accumulate with initial version 0.8.1
Package: accumulate
Title: Split-Apply-Combine with Dynamic Groups
Version: 0.8.1
Date: 2023-01-20
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>
Description: Estimate group aggregates, where one can set user-defined conditions that each group of records must satisfy to be suitable for aggregation. If a group of records is not suitable, it is expanded using a collapsing scheme defined by the user.
License: EUPL
URL: https://github.com/markvanderloo/accumulate
LazyData: TRUE
VignetteBuilder: simplermarkdown
Depends: R (>= 3.5.0)
Suggests: tinytest, simplermarkdown, validate
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-01-23 12:26:45 UTC; mark
Author: Mark van der Loo [aut, cre]
Repository: CRAN
Date/Publication: 2023-01-24 10:30:02 UTC

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New package CDSS with initial version 0.1-0
Package: CDSS
Title: Course-Dependent Skill Structures
Version: 0.1-0
Date: 2023-01-23
Depends: R (>= 4.2.0)
Imports: readODS (>= 1.7.0), openxlsx (>= 4.2.0)
Maintainer: Cord Hockemeyer <cord.hockemeyer@uni-graz.at>
License: GPL-3
NeedsCompilation: no
Description: Deriving skill structures from skill assignment data for courses (sets of learning objects).
Encoding: UTF-8
Packaged: 2023-01-23 09:53:09 UTC; hockemey
Author: Cord Hockemeyer [aut, cre]
Repository: CRAN
Date/Publication: 2023-01-24 10:00:02 UTC

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New package CDMConnector with initial version 0.4.1
Package: CDMConnector
Title: Connect to an OMOP Common Data Model
Version: 0.4.1
Description: Provides tools for working with observational health data in the Observational Medical Outcomes Partnership (OMOP) Common Data Model format with a pipe friendly syntax. Common data model database table references are stored in a single compound object along with metadata.
License: Apache License (>= 2)
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: dplyr, DBI (>= 0.3.0), checkmate, magrittr, dbplyr, pillar, cli, purrr, rlang, tidyselect, readr, glue, waldo, arrow, methods, withr, lifecycle, jsonlite, SqlRender
Suggests: covr, knitr, rmarkdown, duckdb, RSQLite, RPostgres, odbc, ggplot2, testthat (>= 3.0.0), DatabaseConnector, lubridate
Enhances: CirceR
VignetteBuilder: knitr
Additional_repositories: https://OHDSI.github.io/drat
NeedsCompilation: no
Packaged: 2023-01-23 16:57:53 UTC; adamblack
Author: Adam Black [aut, cre]
Maintainer: Adam Black <black@ohdsi.org>
Repository: CRAN
Date/Publication: 2023-01-24 08:30:19 UTC

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Mon, 23 Jan 2023

New package fwildclusterboot with initial version 0.12.1
Package: fwildclusterboot
Title: Fast Wild Cluster Bootstrap Inference for Linear Models
Version: 0.12.1
Description: Implementation of fast algorithms for wild cluster bootstrap inference developed in 'Roodman et al' (2019, 'STATA' Journal, <doi:10.1177/1536867X19830877>) and 'MacKinnon et al' (2022), which makes it feasible to quickly calculate bootstrap test statistics based on a large number of bootstrap draws even for large samples. Multiple bootstrap types as described in 'MacKinnon, Nielsen & Webb' (2022) are supported. Further, 'multiway' clustering, regression weights, bootstrap weights, fixed effects and 'subcluster' bootstrapping are supported. Further, both restricted ('WCR') and unrestricted ('WCU') bootstrap are supported. Methods are provided for a variety of fitted models, including 'lm()', 'feols()' (from package 'fixest') and 'felm()' (from package 'lfe'). Additionally implements a 'heteroskedasticity-robust' ('HC1') wild bootstrap. Further, the package provides an R binding to 'WildBootTests.jl', which provides additional speed gains and functionality, including the 'WRE' [...truncated...]
URL: https://s3alfisc.github.io/fwildclusterboot/
BugReports: https://github.com/s3alfisc/fwildclusterboot/issues/
License: GPL-3
Imports: collapse, dreamerr, Formula, generics, dqrng, gtools, Matrix, JuliaConnectoR, MASS, Rcpp, summclust
Suggests: fixest, lfe, ivreg, clubSandwich, lmtest, data.table, fabricatr, covr, knitr, rmarkdown, broom, modelsummary, bench, testthat (>= 3.0.0), tibble, sandwich
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp,RcppArmadillo, RcppEigen
VignetteBuilder: knitr
Language: en-US
SystemRequirements: Version Requirements to run the wild bootstrap through Julia - Julia (>= 1.7), WildBootTests.jl (>=0.8.1). Julia is downloadable via the official Julia website (https://julialang.org/downloads/), WildBootTests.jl via Julia's package manager (https://docs.julialang.org/en/v1/stdlib/Pkg/) or its github repository (https://github.com/droodman/WildBootTests.jl)
NeedsCompilation: yes
Packaged: 2022-11-20 09:13:29 UTC; alexa
Author: Alexander Fischer [aut, cre], David Roodman [aut], Achim Zeileis [ctb] , Nathaniel Graham [ctb] , Susanne Koell [ctb] , Laurent Berge [ctb] , Sebastian Krantz [ctb]
Maintainer: Alexander Fischer <alexander-fischer1801@t-online.de>
Repository: CRAN
Date/Publication: 2023-01-23 14:00:06 UTC

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New package stim with initial version 1.0.0
Package: stim
Title: Incorporating Stability Information into Cross-Sectional Estimates
Version: 1.0.0
Description: The goal of 'stim' is to provide a function for estimating the Stability Informed Model. The Stability Informed Model integrates stability information (how much a variable correlates with itself in the future) into cross-sectional estimates. Wysocki and Rhemtulla (2022) <https://psyarxiv.com/vg5as>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: lavaan, Ryacas, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-20 22:37:37 UTC; annawy
Author: Anna Wysocki [aut, cre]
Maintainer: Anna Wysocki <awysocki@ucdavis.edu>
Repository: CRAN
Date/Publication: 2023-01-23 10:20:02 UTC

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New package vDiveR with initial version 1.0.0
Package: vDiveR
Title: Visualization of Viral Protein Sequence Diversity Dynamics
Version: 1.0.0
Description: To ease the visualization of outputs from Diversity Motif Analyser ('DiMA'; <https://github.com/PU-SDS/DiMA>). 'vDiveR' allows visualization of the diversity motifs (index and its variants – major, minor and unique) for elucidation of the underlying inherent dynamics. Please refer <https://vdiver-manual.readthedocs.io/en/latest/> for more information.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, gghalves, ggplot2, ggpubr, grid, gridExtra, ggtext, magrittr, plyr, tidyr, stringr, rlang
Depends: R (>= 2.10)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-01-22 09:54:57 UTC; pendy
Author: Pendy Tok [aut, cre], Li Chuin Chong [aut], Evgenia Chikina [aut]
Maintainer: Pendy Tok <pendytok0518@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-23 09:40:02 UTC

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New package shoredate with initial version 1.0.0
Package: shoredate
Title: Shoreline Dating of Stone Age Sites on the Norwegian Skagerrak Coast
Version: 1.0.0
Description: Provides tools for shoreline dating Stone Age sites located on the Norwegian Skagerrak coast using methods presented in Roalkvam (2023) <doi:10.1016/j.quascirev.2022.107880>. Shoreline dating is based on the present-day elevation of a site, a reconstruction of past relative sea-level change, and empirically derived estimates of the likely elevation of the sites above sea-level when they were in use. The geographical and temporal coverage of the method thus follows from local geological reconstructions of shoreline displacement and the degree to which settlements in the region have been found to have been located on or close to the shoreline when they were in use. Methods for numerical treatment and visualisation of the dates are provided, along with basic tools for evaluating the location of sites within the region and corresponding variation in local shoreline displacement.
Language: en-US
License: GPL (>= 3)
URL: https://github.com/isakro/shoredate
BugReports: https://github.com/isakro/shoredate/issues
Encoding: UTF-8
Imports: ggplot2, ggrepel, ggridges, ggsn, grid, scales, sf, terra, utils
Suggests: covr, elevatr, rgdal, knitr, rmarkdown, testthat (>= 3.0.0), vdiffr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-22 13:51:36 UTC; isak
Author: Isak Roalkvam [aut, cre]
Maintainer: Isak Roalkvam <isakroa@protonmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2023-01-23 09:50:02 UTC

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New package rdracor with initial version 0.7.2
Package: rdracor
Title: Access to the 'DraCor' API
Description: Provide an interface for 'Drama Corpora Project' ('DraCor') API: <https://dracor.org/documentation/api>.
Version: 0.7.2
License: GPL (>= 3)
Encoding: UTF-8
Imports: jsonlite (>= 1.6), utils, data.table (>= 1.12.2), xml2 (>= 1.2.2), igraph (>= 1.2.4.1), httr (>= 1.4.1), tibble (>= 3.1.8), purrr (>= 0.3.5), stringr (>= 1.4.1), tidyr (>= 1.2.1), Rdpack (>= 2.4)
Suggests: testthat (>= 2.1.0)
URL: https://github.com/dracor-org/rdracor
BugReports: https://github.com/dracor-org/rdracor/issues
NeedsCompilation: no
Packaged: 2023-01-22 18:21:22 UTC; ivan
Author: Ivan Pozdniakov [aut, cre]
Maintainer: Ivan Pozdniakov <bucherr@yandex.ru>
Repository: CRAN
Date/Publication: 2023-01-23 10:00:02 UTC

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New package multilink with initial version 0.1.0
Package: multilink
Title: Multifile Record Linkage and Duplicate Detection
Version: 0.1.0
Description: Implementation of the methodology of Aleshin-Guendel & Sadinle (2022) <doi:10.1080/01621459.2021.2013242>. It handles the general problem of multifile record linkage and duplicate detection, where any number of files are to be linked, and any of the files may have duplicates.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/aleshing/multilink
BugReports: https://github.com/aleshing/multilink/issues
Imports: igraph, RecordLinkage, Rcpp, utils, mcclust, geosphere, stringr
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2023-01-20 18:23:16 UTC; sergealeshin-guendel
Author: Serge Aleshin-Guendel [aut, cre]
Maintainer: Serge Aleshin-Guendel <saleshinguendel@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-23 09:20:02 UTC

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New package mixbox with initial version 1.1.1
Package: mixbox
Title: Observed Fisher Information Matrix for Finite Mixture Model
Author: Mahdi Teimouri [aut, cre, cph, ctb]
Maintainer: Mahdi Teimouri <teimouri@aut.ac.ir>
Description: Developed for approximating the observed Fisher information matrix, asymptotic standard error, and the corresponding confidence intervals for parameters of the canonical, restricted, and unrestricted finite mixture models using the method proposed by Basford et al. (1997) <https://espace.library.uq.edu.au/view/UQ:57525>.
Encoding: UTF-8
License: GPL (>= 2)
Depends: R(>= 3.1.0)
Imports: GIGrvg, stabledist
Repository: CRAN
Version: 1.1.1
Date: 2023-01-20
NeedsCompilation: no
Packaged: 2023-01-20 16:55:17 UTC; NikPardaz
Date/Publication: 2023-01-23 09:20:05 UTC

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New package MCPModBC with initial version 1.0
Package: MCPModBC
Title: Improved Inference in Multiple Comparison Procedure – Modelling
Version: 1.0
Date: 2023-01-20
Description: Implementation of Multiple Comparison Procedures with Modeling (MCP-Mod) procedure with bias-corrected estimators and second-order covariance matrices as described in Diniz, Gallardo and Magalhães (2023) <doi:10.48550/arXiv.2301.00325>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.0.0), stats
Imports: doRNG, survival, doParallel, nleqslv, foreach, DoseFinding, dplyr, rlang
NeedsCompilation: no
Packaged: 2023-01-20 18:24:26 UTC; Diego
Author: Marcio Diniz [aut], Diego Gallardo [aut, cre], Tiago Magalhaes [aut]
Maintainer: Diego Gallardo <diego.gallardo@uda.cl>
Repository: CRAN
Date/Publication: 2023-01-23 09:20:08 UTC

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New package mbreaks with initial version 1.0.0
Package: mbreaks
Title: Estimation and Inference for Structural Breaks in Linear Regression Models
Version: 1.0.0
Description: Functions provide comprehensive treatments for estimating, inferring, testing and model selecting in linear regression models with structural breaks. The tests, estimation methods, inference and information criteria implemented are discussed in Bai and Perron (1998) "Estimating and Testing Linear Models with Multiple Structural Changes" <doi:10.2307/2998540>.
URL: https://github.com/RoDivinity/mbreaks
BugReports: https://github.com/RoDivinity/mbreaks/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3)
Imports: ggplot2
Suggests: knitr, rmarkdown, graphics, testthat
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2023-01-20 18:38:09 UTC; linhnguyen
Author: Linh Nguyen [aut, cre], Yohei Yamamoto [aut], Pierre Perron [aut]
Maintainer: Linh Nguyen <nguye535@purdue.edu>
Repository: CRAN
Date/Publication: 2023-01-23 09:30:02 UTC

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New package IDSL.NPA with initial version 1.0
Package: IDSL.NPA
Title: Nominal Peak Analysis (NPA)
Version: 1.0
Depends: R (>= 4.0)
Imports: IDSL.MXP (>= 1.8), IDSL.IPA (>= 2.6), IDSL.FSA, doParallel, foreach, readxl
Author: Sadjad Fakouri-Baygi [cre, aut] , Dinesh Barupal [aut]
Maintainer: Sadjad Fakouri-Baygi <sadjad.fakouri-baygi@mssm.edu>
Description: A pipeline for processing nominal mass spectrometry data to create .msp files for untargeted nominal mass data processing.
License: MIT + file LICENSE
URL: https://github.com/idslme/idsl.npa
BugReports: https://github.com/idslme/idsl.npa/issues
Encoding: UTF-8
Archs: i386, x64
NeedsCompilation: no
Packaged: 2023-01-21 00:41:26 UTC; sfbaygi
Repository: CRAN
Date/Publication: 2023-01-23 09:30:06 UTC

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New package IDSL.CSA with initial version 1.0
Package: IDSL.CSA
Title: Composite Spectra Analysis (CSA) for High-Resolution Mass Spectrometry Analyses
Version: 1.0
Depends: R (>= 4.0)
Imports: IDSL.MXP (>= 1.8), IDSL.IPA (>= 2.6), IDSL.FSA, doParallel, foreach, readxl
Author: Sadjad Fakouri-Baygi [cre, aut] , Dinesh Barupal [aut]
Maintainer: Sadjad Fakouri-Baygi <sadjad.fakouri-baygi@mssm.edu>
Description: A fragmentation spectra detection pipeline for high-throughput LC/HRMS data processing using peaklists generated by the 'IDSL.IPA' package. The 'IDSL.CSA' package can deconvolute fragmentation spectra from Composite Spectra Analysis (CSA), Data Dependent Acquisition (DDA) analysis, and various Data-Independent Acquisition (DIA) methods such as MS^E, All-Ion Fragmentation (AIF) and SWATH analysis.
License: MIT + file LICENSE
URL: https://github.com/idslme/idsl.csa
BugReports: https://github.com/idslme/idsl.csa/issues
Encoding: UTF-8
Archs: i386, x64
NeedsCompilation: no
Packaged: 2023-01-21 00:41:52 UTC; sfbaygi
Repository: CRAN
Date/Publication: 2023-01-23 09:30:09 UTC

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New package fsemipar with initial version 1.0
Package: fsemipar
Title: Estimation, Variable Selection and Prediction for Functional Semiparametric Models
Version: 1.0
Date: 2023-01-7
Author: German Aneiros [aut], Silvia Novo [aut, cre]
Depends: R (>= 3.5.0), splines, gtools, grpreg, DiceKriging, graphics, stats
Maintainer: Silvia Novo <snovo@est-econ.uc3m.es>
Description: Routines for estimation or simultaneous estimation and variable selection of several functional semiparametric models with scalar response, such as the functional single-index model, the semi-functional partial linear model or the semi-functional partial linear single-index model. In addition, it includes algorithms for dealing with scalar covariates with linear effect coming from the discretization of a curve in the cases of the linear model, the multi-functional partial linear model and the multi-functional partial linear single-index model.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2023-01-22 11:55:36 UTC; Silvia
Repository: CRAN
Date/Publication: 2023-01-23 09:50:06 UTC

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New package taxotools with initial version 0.0.132
Package: taxotools
Title: Taxonomic List Processing
Version: 0.0.132
Date: 2023-01-22
Maintainer: Vijay Barve <vijay.barve@gmail.com>
Description: Taxonomic lists matching and merging, casting and melting scientific names, managing taxonomic lists from Global Biodiversity Information Facility 'GBIF' or Integrated Taxonomic Information System 'ITIS', harvesting names from Wikipedia and fuzzy matching.
License: CC0
Imports: taxize, wikitaxa, plyr, sqldf, stringr, stringdist, rmarkdown, stringi
Encoding: UTF-8
BugReports: https://github.com/vijaybarve/taxotools/issues
NeedsCompilation: no
Packaged: 2023-01-22 19:29:14 UTC; barve
Author: Vijay Barve [aut, cre]
Repository: CRAN
Date/Publication: 2023-01-23 08:30:02 UTC

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New package paramsim with initial version 0.1.0
Package: paramsim
Title: Parameterized Simulation
Version: 0.1.0
Maintainer: Daniel James <futathesis@gmail.com>
Description: This function obtains a Random Number Generator (RNG) or collection of RNGs that replicate the required parameter(s) of a distribution for a time series of data. Consider the case of reproducing a time series data set of size 20 that uses an autoregressive (AR) model with phi = 0.8 and standard deviation equal to 1. When one checks the arima.sin() function's estimated parameters, it's possible that after a single trial or a few more, one won't find the precise parameters. This enables one to look for the ideal RNG setting for a simulation that will accurately duplicate the desired parameters.
Depends: R (>= 4.2.0)
Imports: forecast, foreach, parallel, doParallel, future, stats, tibble
License: GPL (>= 2)
Encoding: UTF-8
Suggests: knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-20 14:06:45 UTC; economia
Author: Daniel James [cre, aut], Ayinde Kayode [aut]
Repository: CRAN
Date/Publication: 2023-01-23 07:50:06 UTC

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New package MSinference with initial version 0.0.9
Package: MSinference
Title: Multiscale Inference for Nonparametric Time Trend(s)
Version: 0.0.9
Date: 2023-01-18
Maintainer: Marina Khismatullina <khismatullina@ese.eur.nl>
Description: Performs a multiscale analysis of a nonparametric regression or nonparametric regressions with time series errors. In case of one regression, with the help of this package it is possible to detect the regions where the trend function is increasing or decreasing. In case of multiple regressions, the test identifies regions where the trend functions are different from each other. See Khismatullina and Vogt (2020) <doi:10.1111/rssb.12347>, Khismatullina and Vogt (2022) <doi:10.48550/arXiv.2209.10841> and Khismatullina and Vogt (2023) <doi:10.1016/j.jeconom.2021.04.010> for more details on theory and applications.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.9), Rdpack, foreach, parallel, doParallel
LinkingTo: Rcpp
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: yes
Packaged: 2023-01-20 10:47:15 UTC; missius
Author: Marina Khismatullina [aut, cre], Michael Vogt [aut]
Repository: CRAN
Date/Publication: 2023-01-23 07:40:05 UTC

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New package interca with initial version 0.1.2
Package: interca
Title: Multiple Correspondence Analysis Based on Interpretive Coordinates
Version: 0.1.2
Date: 2023-01-19
Description: Various functions and a Shiny app to enrich the results of Multiple Correspondence Analysis with interpretive axes and planes (see Moschidis, Markos, and Thanopoulos, 2022; <doi:10.1108/ACI-07-2022-0191>).
License: GPL-3
Depends: ggplot2, DT
Imports: shiny, shinyFeedback, waiter, dplyr,ggrepel, magrittr, openxlsx, shinyWidgets,readr, readxl, FactoMineR, factoextra, rmarkdown
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-01-20 11:57:00 UTC; amarkos
Author: Stratos Moschidis [aut, cre], Angelos Markos [aut]
Maintainer: Stratos Moschidis <smos@statistics.gr>
Repository: CRAN
Date/Publication: 2023-01-23 07:40:02 UTC

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Sun, 22 Jan 2023

New package mlmts with initial version 1.1.1
Package: mlmts
Title: Machine Learning Algorithms for Multivariate Time Series
Version: 1.1.1
Description: An implementation of several machine learning algorithms for multivariate time series. The package includes functions allowing the execution of clustering, classification or outlier detection methods, among others. It also incorporates a collection of multivariate time series datasets which can be used to analyse the performance of new proposed algorithms. Some of these datasets are stored in GitHub data packages 'ueadata1' to 'ueadata8'. To access these data packages, run 'install.packages(c('ueadata1', 'ueadata2', 'ueadata3', 'ueadata4', 'ueadata5', 'ueadata6', 'ueadata7', 'ueadata8'), repos='<https://anloor7.github.io/drat/>')'. The installation takes a couple of minutes but we strongly encourage the users to do it if they want to have available all datasets of mlmts. Practitioners from a broad variety of fields could benefit from the general framework provided by 'mlmts'.
License: GPL-2
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.0.0)
Imports: quantspec, waveslim, Rfast, TSclust, forecast, tseries, TSA, tsfeatures, tseriesChaos, freqdom, e1071, dtw, base, psych, complexplus, MTS, Matrix, ggplot2, multiwave, MASS, fda.usc, TSdist, geigen, DescTools, pracma, pspline, Rdpack, stats, ClusterR, AID, caret, ranger, igraph, randomForest
NeedsCompilation: no
Packaged: 2023-01-22 18:25:39 UTC; angel
Suggests: ueadata1, ueadata2, ueadata3, ueadata4, ueadata5, ueadata6, ueadata7, ueadata8, testthat (>= 3.0.0)
Additional_repositories: https://anloor7.github.io/drat/
Author: Angel Lopez-Oriona [aut, cre], Jose A. Vilar [aut]
Maintainer: Angel Lopez-Oriona <oriona38@hotmail.com>
Repository: CRAN
Date/Publication: 2023-01-22 21:30:02 UTC

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New package transfR with initial version 1.0.6
Package: transfR
Title: Transfer of Hydrograph from Gauged to Ungauged Catchments
Version: 1.0.6
Date: 2023-01-20
Depends: R (>= 4.1.0), stars (>= 0.4-0), sf (>= 0.8-0)
Imports: doParallel, foreach, units, Rdpack
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, elevatr, rgdal, progress, whitebox
Description: A geomorphology-based hydrological modelling for transferring streamflow measurements from gauged to ungauged catchments. Inverse modelling enables to estimate net rainfall from streamflow measurements following Boudhraâ et al. (2018) <doi:10.1080/02626667.2018.1425801>. Resulting net rainfall is then estimated on the ungauged catchments by spatial interpolation in order to finally simulate streamflow following de Lavenne et al. (2016) <doi:10.1002/2016WR018716>.
License: GPL-2
URL: https://gitlab.irstea.fr/HYCAR-Hydro/transfr
BugReports: https://gitlab.irstea.fr/HYCAR-Hydro/transfr/-/issues
NeedsCompilation: yes
Encoding: UTF-8
Author: Alban de Lavenne [aut, cre] , Christophe Cudennec [ths] , Tom Loree [ctb], Herve Squividant [ctb]
Maintainer: Alban de Lavenne <alban.delavenne@inrae.fr>
Packaged: 2023-01-20 19:38:10 UTC; delavenne
Repository: CRAN
Date/Publication: 2023-01-22 16:20:02 UTC

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Fri, 20 Jan 2023

New package pirouette with initial version 1.6.6
Package: pirouette
Title: Create a Bayesian Posterior from a Phylogeny
Version: 1.6.6
Maintainer: Richel J.C. Bilderbeek <richel@richelbilderbeek.nl>
Description: Theoretical biologists are interested in measuring the extent at which we can measure the truth. This package allows to create a Bayesian posterior from a phylogeny that depicts the true evolutionary relationships. The given and true phylogeny can than be compared to the posterior phylogenies. Richèl J. C. Bilderbeek, Giovanni Laudanno, Rampal S. Etienne (2020) "Quantifying the impact of an inference model in Bayesian phylogenetics" <doi:10.1111/2041-210X.13514>.
License: GPL-3
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://github.com/richelbilderbeek/pirouette/
BugReports: https://github.com/richelbilderbeek/pirouette/issues
Depends: babette (>= 2.1.1)
Imports: ape, beautier (>= 2.6.2), beastier (>= 2.4.6), DDD, forcats, magrittr, mauricer (>= 2.5), mcbette (>= 1.7), nodeSub, phangorn, phytools, plyr, pryr, readr, stringr, TESS, tibble, tidyr, tracerer (>= 2.0.2), xtable
Suggests: devtools, dplyr, ggplot2, knitr, lintr, markdown, nLTT (>= 1.4.3), rappdirs, rmarkdown, Rmpfr, testthat (>= 2.1.0)
SystemRequirements: BEAST2 (https://www.beast2.org/)
NeedsCompilation: no
Packaged: 2023-01-19 11:41:37 UTC; richel
Author: Richel J.C. Bilderbeek [aut, cre] , Giovanni Laudanno [aut], Thijs Janzen [ctb]
Repository: CRAN
Date/Publication: 2023-01-20 16:00:02 UTC

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New package p3state.msm with initial version 1.3.2
Encoding: UTF-8
Package: p3state.msm
Version: 1.3.2
Date: 2023-01-19
Title: Analyzing Survival Data from an Illness-Death Model
Depends: R (>= 2.8.1),survival,base
Description: Contains functions for data preparation, prediction of transition probabilities, estimating semi-parametric regression models and for implementing nonparametric estimators for other quantities. See Meira-Machado and Roca-Pardiñas (2011) <doi:10.18637/jss.v038.i03>.
License: GPL-3
LazyLoad: yes
LazyData: yes
NeedsCompilation: no
Packaged: 2023-01-19 20:29:21 UTC; User
Author: Luis Meira-Machado [aut, cre] , Javier Roca-Pardinas [aut] , Artur Araujo [ctb]
Maintainer: Luis Meira-Machado <lmachado@math.uminho.pt>
Repository: CRAN
Date/Publication: 2023-01-20 16:00:09 UTC

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New package stops with initial version 1.0-1
Package: stops
Title: Structure Optimized Proximity Scaling
Version: 1.0-1
Date: 2023-01-18
Author: Thomas Rusch [aut, cre], Jan de Leeuw [aut], Lisha Chen [aut], Patrick Mair [aut], Kurt Hornik [ctb]
Maintainer: Thomas Rusch <thomas.rusch@wu.ac.at>
Description: A collection of methods that fit nonlinear distance transformations in multidimensional scaling (MDS) and trade-off the fit with structure considerations to find optimal parameters also known as structure optimized proximity scaling (STOPS) (Rusch, Mair & Hornik, 2023,<doi:10.1007/s11222-022-10197-w>). The package contains various functions, wrappers, methods and classes for fitting, plotting and displaying different MDS models in a STOPS framework like Torgerson (classical) scaling, scaling by majorizing a complex function (SMACOF), Sammon mapping, elastic scaling, symmetric SMACOF, spherical SMACOF, s-stress, r-stress, power MDS, power elastic scaling, power Sammon mapping, power stress MDS (POST-MDS), approximate power stress, Box-Cox MDS, local MDS and Isomap. All of these models can also be fit individually with given hyperparameters or by optimizing over hyperparameters based on fit only (i.e., no structure considerations). The package further contains functions for opt [...truncated...]
Depends: R (>= 3.5.0), smacof, rgl
Imports: cordillera, MASS, pso, scatterplot3d, acepack, minerva, energy, DiceOptim, DiceKriging, tgp, pomp, vegan, scagnostics, clue, cmaes, dfoptim, nloptr
Enhances: stats
Suggests: sp, R.rsp
License: GPL-2 | GPL-3
LazyData: true
URL: https://r-forge.r-project.org/projects/stops/
VignetteBuilder: R.rsp
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-01-18 21:02:27 UTC; trusch
Repository: CRAN
Date/Publication: 2023-01-20 10:10:02 UTC

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New package prqlr with initial version 0.1.0
Package: prqlr
Title: R Bindings for the 'prql-compiler' Rust Library
Description: Provides a function to convert 'PRQL' strings to 'SQL' strings. Combined with other R functions that take 'SQL' as an argument, 'PRQL' can be used on R.
Version: 0.1.0
URL: https://eitsupi.github.io/prqlr/, https://github.com/eitsupi/prqlr
BugReports: https://github.com/eitsupi/prqlr/issues
Depends: R (>= 4.2)
Suggests: knitr, rmarkdown, DBI, RSQLite, tidyquery, nycflights13, dplyr, testthat (>= 3.0.0), patrick
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
SystemRequirements: Cargo (rustc package manager)
VignetteBuilder: knitr
Config/rextendr/version: 0.2.0.9000
NeedsCompilation: yes
Packaged: 2023-01-19 23:16:51 UTC; rstudio
Author: Tatsuya Shima [aut, cre]
Maintainer: Tatsuya Shima <ts1s1andn@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-20 10:40:02 UTC

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New package occUncertain with initial version 0.1.0
Package: occUncertain
Title: Addressing Occurrence Point Uncertainty When Calculating Spatial Metrics
Version: 0.1.0
Date: 2023-01-14
Description: Repeatable processing of species occurrence datasets that makes it easier to propagate georeferencing imprecisions and data input mistakes to downstream analyses, allowing analysts to assess the impacts of these imprecisions in quantifying range of occurrence (EOO) or area of occupancy (AOO) . Users can use the software to: (a) change each coordinate record's uncertainty from meters to decimal degrees, The formula for converting from meters to decimal degrees is in part based on information from the ESRI ArcUser magazine "Measuring in Arc-Seconds" at this site<https://www.esri.com/news/arcuser/0400/wdside.html> (b) deal with records that don't have uncertainty values in multiple ways, (c) create a new random location for each occurrence using a uniform distribution with a defined interval within the occurrence location uncertainty, and (d) use repetitions to quantify EOO and AOO with attribute uncertainty.
BugReports: https://github.com/mlammens/occUncertain/issues
Depends: R (>= 3.5.0), knitr, ConR, rgdal
License: GPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Suggests: rmarkdown, testthat, ggplot2, dplyr
NeedsCompilation: no
Packaged: 2023-01-18 18:21:37 UTC; samuelchang
Author: Samuel V. Chang Triguero [aut, cre], Matthew E. Aiello-Lammens [aut]
Maintainer: Samuel V. Chang Triguero <changalfsam@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-20 10:10:06 UTC

More information about occUncertain at CRAN
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New package MassWateR with initial version 2.0.0
Package: MassWateR
Title: Quality Control and Analysis of Massachusetts Water Quality Data
Version: 2.0.0
Description: Methods for quality control and exploratory analysis of surface water quality data collected in Massachusetts, USA. Functions are developed to facilitate data formatting for the Water Quality Exchange Network <https://www.epa.gov/waterdata/water-quality-data-upload-wqx> and reporting of data quality objectives to state agencies. Quality control methods are from Massachusetts Department of Environmental Protection (2020) <https://www.mass.gov/orgs/massachusetts-department-of-environmental-protection>.
Depends: R (>= 3.5)
Imports: dplyr, flextable, ggmap, ggplot2, ggrepel, ggspatial, lubridate, RColorBrewer, rmarkdown, readxl, sf, tidyr, tibble, units, writexl
License: CC0
Encoding: UTF-8
URL: <https://github.com/massbays-tech/MassWateR>, <https://massbays-tech.github.io/MassWateR/>
BugReports: https://github.com/massbays-tech/MassWateR/issues
LazyData: true
LazyDataCompression: xz
Suggests: covr, knitr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-01-18 22:23:24 UTC; MarcusBeck
Author: Marcus Beck [aut, cre] , Jill Carr [aut], Ben Wetherill [aut] , Pam DiBona [aut]
Maintainer: Marcus Beck <mbeck@tbep.org>
Repository: CRAN
Date/Publication: 2023-01-20 10:20:07 UTC

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New package grafzahl with initial version 0.0.5
Package: grafzahl
Title: Supervised Machine Learning for Textual Data Using Transformers and 'Quanteda'
Version: 0.0.5
Description: Duct tape the 'quanteda' ecosystem (Benoit et al., 2018) <doi:10.21105/joss.00774> to modern Transformer-based text classification models (Wolf et al., 2020) <doi:10.18653/v1/2020.emnlp-demos.6>, in order to facilitate supervised machine learning for textual data. This package mimics the behaviors of 'quanteda.textmodels' and provides a function to setup the 'Python' environment to use the pretrained models from 'Hugging Face' <https://huggingface.co/>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/chainsawriot/grafzahl
BugReports: https://github.com/chainsawriot/grafzahl/issues
Suggests: quanteda.textmodels, testthat (>= 3.0.0)
Imports: jsonlite, lime, quanteda, reticulate, utils, stats
LazyData: true
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2023-01-19 20:00:58 UTC; chainsawriot
Author: Chung-hong Chan [aut, cre]
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-20 10:30:08 UTC

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New package glmmrOptim with initial version 0.2.2
Package: glmmrOptim
Title: Approximate Optimal Experimental Designs Using Generalised Linear Mixed Models
Version: 0.2.2
Date: 2023-01-19
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>
Description: Optimal design analysis algorithms for any study design that can be represented or modelled as a generalised linear mixed model including cluster randomised trials, cohort studies, spatial and temporal epidemiological studies, and split-plot designs. See <https://github.com/samuel-watson/glmmrBase/blob/master/README.md> for a detailed manual on model specification. A detailed discussion of the methods in this package can be found in Watson and Pan (2022) <arXiv:2207.09183>.
License: GPL (>= 2)
Imports: methods, Rcpp (>= 1.0.7), digest
LinkingTo: Rcpp (>= 1.0.7), RcppEigen, glmmrBase (>= 0.2.3)
NeedsCompilation: yes
Author: Sam Watson [aut, cre], Yi Pan [aut]
URL: https://github.com/samuel-watson/glmmrOptim
BugReports: https://github.com/samuel-watson/glmmrOptim/issues
Suggests: testthat, CVXR
Biarch: true
Depends: R (>= 3.4.0), Matrix, glmmrBase
SystemRequirements: GNU make
Encoding: UTF-8
Packaged: 2023-01-19 17:09:04 UTC; samue
Repository: CRAN
Date/Publication: 2023-01-20 10:20:02 UTC

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New package ggplate with initial version 0.0.1
Package: ggplate
Title: Create Layout Plots of Biological Culture Plates and Microplates
Version: 0.0.1
Description: Enables users to create simple plots of biological culture plates as well as microplates. Both continuous and discrete values can be plotted onto the plate layout.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, ggplot2, scales, purrr, rlang, stringr, tidyr, utils, forcats, farver
Suggests: covr, testthat (>= 3.0.0)
Depends: R (>= 4.0)
URL: https://github.com/jpquast/ggplate, https://jpquast.github.io/ggplate/
BugReports: https://github.com/jpquast/ggplate/issues
NeedsCompilation: no
Packaged: 2023-01-20 09:33:54 UTC; jan-philippquast
Author: Jan-Philipp Quast [aut, cre]
Maintainer: Jan-Philipp Quast <quast@imsb.biol.ethz.ch>
Repository: CRAN
Date/Publication: 2023-01-20 10:40:06 UTC

More information about ggplate at CRAN
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New package convergEU with initial version 0.5.3
Package: convergEU
Title: Monitoring Convergence of EU Countries
Version: 0.5.3
Depends: R (>= 3.6.0)
Maintainer: Federico M. Stefanini <federico.stefanini@unimi.it>
URL: <https://unimi2013-my.sharepoint.com/:u:/g/personal/federico_stefanini_unimi_it/EW0cVSIgbtZAvLPNbqcxdX8Bfn5VGSRHfAH88hQwc_RIEQ?e=MgtSZu> <https://www.eurofound.europa.eu/sites/default/files/wpef20008.pdf>, <https://www.eurofound.europa.eu/sites/default/files/ef_publication/field_ef_document/ef18003en.pdf>
Description: Indicators and measures by country and time describe what happens at economic and social levels. This package provides functions to calculate several measures of convergence after imputing missing values. The automated downloading of Eurostat data, followed by the production of country fiches and indicator fiches, makes possible to produce automated reports. The Eurofound report: Bisello, M., Eiffe, F., Dubois, H., Mascherini, M. (2019) "Upward convergence in the EU: Concepts, measurements and indicators" (<doi:10.2806/68012>), is a detailed presentation of convergence.
Imports: dplyr, tibble, ggplot2, eurostat, tidyr, rlang, utils, purrr, caTools, broom, stringr, rmarkdown, ggpubr
Suggests: devtools, formattable, gridExtra, knitr, kableExtra, magrittr, readr, readxl, tidyverse, rvest, testthat, utf8
License: GPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-18 18:05:34 UTC; fred
Author: Federico M. Stefanini [arc, aut, cre], Massimiliano Mascherini [arc], Eleonora Peruffo [ctb], Nedka D. Nikiforova [ctb], Chiara Litardi [ctb]
Repository: CRAN
Date/Publication: 2023-01-20 10:10:09 UTC

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New package CJIVE with initial version 0.1.0
Package: CJIVE
Title: Canonical Joint and Individual Variation Explained (CJIVE)
Version: 0.1.0
Maintainer: Raphiel Murden <rmurden@emory.edu>
Description: Joint and Individual Variation Explained (JIVE) is a method for decomposing multiple datasets obtained on the same subjects into shared structure, structure unique to each dataset, and noise. The two most common implementations are R.JIVE, an iterative approach, and AJIVE, which uses principal angle analysis. JIVE estimates subspaces but interpreting these subspaces can be challenging with AJIVE or R.JIVE. We expand upon insights into AJIVE as a canonical correlation analysis (CCA) of principal component scores. This reformulation, which we call CJIVE, 1) provides an ordering of joint components by the degree of correlation between corresponding canonical variables; 2) uses a computationally efficient permutation test for the number of joint components, which provides a p-value for each component; and 3) can be used to predict subject scores for out-of-sample observations. Please cite the following article when utilizing this package: Murden, R., Zhang, Z., Guo, Y., & Risk, B. (202 [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rootSolve, ggplot2, reshape2, fields, gplots, psych
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-01-18 18:03:19 UTC; RMURDEN
Author: Raphiel Murden [aut, cre] , Benjamin Risk [aut]
Repository: CRAN
Date/Publication: 2023-01-20 10:10:13 UTC

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New package alone with initial version 0.1.0
Package: alone
Title: Datasets from the Survival TV Series Alone
Version: 0.1.0
Description: A collection of datasets on the Alone survival TV series in tidy format. Included in the package are 4 datasets detailing the survivors, their loadouts, episode details and season information.
Depends: R (>= 3.5.0)
Suggests: dplyr, ggplot2, forcats
License: CC0
URL: https://github.com/doehm/alone
BugReports: https://github.com/doehm/alone/issues
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-01-19 12:39:54 UTC; Dan
Author: Daniel Oehm [aut, cre]
Maintainer: Daniel Oehm <danieloehm@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-20 10:20:05 UTC

More information about alone at CRAN
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New package shiny.benchmark with initial version 0.1.1
Package: shiny.benchmark
Title: Benchmark the Performance of 'shiny' Applications
Version: 0.1.1
Description: Compare performance between different versions of a 'shiny' application based on 'git' references.
License: LGPL-3
URL: https://github.com/Appsilon/shiny.benchmark, https://github.com/Appsilon/shiny.benchmark
BugReports: https://github.com/Appsilon/shiny.benchmark/issues
SystemRequirements: yarn 1.22.17 or higher, Node 12 or higher
Encoding: UTF-8
Depends: R (>= 3.1.0)
Suggests: covr, knitr, lintr, rcmdcheck, rmarkdown, mockr, spelling
Imports: dplyr, ggplot2, glue, jsonlite, methods, progress, renv, shinytest2, stringr, testthat, fs
Language: en-US
NeedsCompilation: no
Packaged: 2023-01-18 12:30:56 UTC; kuba
Author: Douglas Azevedo [aut, cre], Appsilon Sp. z o.o. [cph]
Maintainer: Douglas Azevedo <opensource+douglas@appsilon.com>
Repository: CRAN
Date/Publication: 2023-01-20 09:50:02 UTC

More information about shiny.benchmark at CRAN
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New package phylter with initial version 0.9.6
Package: phylter
Title: Detect and Remove Outliers in Phylogenomics Datasets
Version: 0.9.6
Imports: ape, ggplot2, mrfDepth, reshape2, Rfast, RSpectra, stats, utils
Suggests: knitr, rmarkdown
License: GPL (>= 2)
Description: Analyzis and filtering of phylogenomics datasets. It takes an input either a collection of gene trees (then transformed to matrices) or directly a collection of gene matrices and performs an iterative process to identify what species in what genes are outliers, and whose elimination significantly improves the concordance between the input matrices. The methods builds upon the Distatis approach (Abdi et al. (2005) <doi:10.1101/2021.09.08.459421>), a generalization of classical multidimensional scaling to multiple distance matrices.
LazyData: true
Depends: R (>= 4.0)
BugReports: https://github.com/damiendevienne/phylter/issues
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-18 14:23:46 UTC; siberchicot
Author: Damien M. de Vienne [aut], Stephane Dray [aut], Aurelie Siberchicot [aut, cre]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>
Repository: CRAN
Date/Publication: 2023-01-20 10:00:02 UTC

More information about phylter at CRAN
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New package callsync with initial version 0.0.3
Package: callsync
Title: Recording Synchronisation, Call Detection and Assignment, Audio Analysis
Version: 0.0.3
Description: Intended to analyse recordings from multiple microphones (e.g., backpack microphones in captive setting). It allows users to align recordings even if there is non-linear drift of several minutes between them. A call detection and assignment pipeline can be used to find vocalisations and assign them to the vocalising individuals (even if the vocalisation is picked up on multiple microphones). The tracing and measurement functions allow for detailed analysis of the vocalisations and filtering of noise. Finally, the package includes a function to run spectrographic cross correlation, which can be used to compare vocalisations. It also includes multiple other functions related to analysis of vocal behaviour.
License: GPL-3
URL: https://github.com/simeonqs/callsync
BugReports: https://github.com/simeonqs/callsync/issues
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.0.10), oce (>= 1.7), seewave (>= 2.2.0), signal (>= 0.7), stringr (>= 1.4.1), tuneR (>= 1.4.0), scales (>= 1.2.1)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-01-18 12:17:07 UTC; ssmeele
Author: Simeon Q. Smeele [cre, aut], Stephen A. Tyndel [ctb]
Maintainer: Simeon Q. Smeele <simeonqs@hotmail.com>
Repository: CRAN
Date/Publication: 2023-01-20 09:50:05 UTC

More information about callsync at CRAN
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Thu, 19 Jan 2023

New package rgudhi with initial version 0.1.0
Package: rgudhi
Title: An Interface to the GUDHI Library for Topological Data Analysis
Version: 0.1.0
Description: Provides an interface to the GUDHI library which is a generic open source C++ library, with a Python interface, for topological data analysis (TDA) and higher dimensional geometry understanding. The library offers state-of-the-art data structures and algorithms to construct simplicial complexes and compute persistent homology.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/LMJL-Alea/rgudhi, https://lmjl-alea.github.io/rgudhi/
BugReports: https://github.com/lmjl-alea/rgudhi/issues
Config/reticulate: list( packages = list( list(package = "scikit-learn", version = "1.2.0"), list(package = "gudhi", version = "3.7.1") ) )
Imports: cli, curl, dplyr, fs, ggplot2, purrr, R6, Rdpack (>= 2.4.0), reticulate, rlang, tibble, withr
Suggests: covr, testthat (>= 3.0.0), vdiffr
NeedsCompilation: no
Packaged: 2023-01-19 22:28:44 UTC; stamm-a
Author: Aymeric Stamm [aut, cre] , GUDHI Editorial Board [ctb]
Maintainer: Aymeric Stamm <aymeric.stamm@cnrs.fr>
Repository: CRAN
Date/Publication: 2023-01-19 23:30:08 UTC

More information about rgudhi at CRAN
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Wed, 18 Jan 2023

New package nemtr with initial version 0.0.1.0
Package: nemtr
Title: Nonparametric Extended Median Test - Cumulative Summation Method
Version: 0.0.1.0
Description: Calculates a cumulative summation nonparametric extended median test based on the work of Brown & Schaffer (2020) <DOI:10.1080/03610926.2020.1738492>. It then generates a control chart to assess processes and determine if any streams are out of control.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/calebgreski/nemtr
BugReports: https://github.com/calebgreski/nemtr/issues
Imports: magrittr, tidyr, dplyr, ggplot2
Suggests: testthat
Depends: R (>= 3.50)
NeedsCompilation: no
Packaged: 2023-01-18 01:45:07 UTC; caleb
Author: Caleb Greski [aut, cre], Austin Brown [aut]
Maintainer: Caleb Greski <caleb.p@greski.com>
Repository: CRAN
Date/Publication: 2023-01-18 12:10:02 UTC

More information about nemtr at CRAN
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New package ShinyLink with initial version 0.2.2
Package: ShinyLink
Title: 'Shiny' Based Record Linkage Tool
Version: 0.2.2
Description: A bridge is created between existing robust open-source record linkage algorithms and an urgently needed user-friendly platform that removes financial and technical barriers, setting a new standard for data interoperability in public health and bioinformatics. The 'fastLink' algorithms are used for matching. Ted Enamorado et al. (2019) <doi:10.1017/S0003055418000783>.
SystemRequirements: C++11
License: GPL-3
Imports: config (>= 0.3.1), DT (>= 0.25), fastLink, gender, ggplot2, ggvenn, golem (>= 0.3.5), haven, htmlwidgets, jsonlite, lubridate, magrittr, readxl, shiny (>= 1.7.2), shinydashboard, shinydashboardPlus, shinyWidgets, tidyr, tidyselect, vroom
Suggests: dplyr, knitr, purrr, rmarkdown, spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-17 23:03:00 UTC; bach
Author: Shufu Chen [aut], John Tyburski [aut], Yaoxiang Li [aut, cre], Amrita Cheema [aut]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>
Repository: CRAN
Date/Publication: 2023-01-18 11:40:05 UTC

More information about ShinyLink at CRAN
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New package SafeVote with initial version 1.0.0
Package: SafeVote
Title: Election Vote Counting with Safety Features
Version: 1.0.0
Date: 2023-01-18
Description: Fork of 'vote_2.3-2', Raftery et al. (2021) <DOI:10.32614/RJ-2021-086>, with additional support for stochastic experimentation.
Depends: R (>= 3.5.0)
Imports: formattable, knitr, fields, grDevices, graphics, utils, ggplot2, data.table, stringr, forcats, dplyr
Encoding: UTF-8
License: GPL (>= 2)
Language: EN-GB
NeedsCompilation: no
LazyData: true
URL: https://cthombor.github.io/SafeVote/
Suggests: testthat (>= 3.0.0), vote, STV
Packaged: 2023-01-18 01:25:58 UTC; cthom
Author: Clark Thomborson [cre, aut]
Maintainer: Clark Thomborson <c.thomborson@auckland.ac.nz>
Repository: CRAN
Date/Publication: 2023-01-18 11:50:06 UTC

More information about SafeVote at CRAN
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New package PBtDesigns with initial version 1.0.0
Package: PBtDesigns
Title: Partially Balanced t-Designs (PBtDesigns)
Version: 1.0.0
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>
Description: The t-designs represent a generalized class of balanced incomplete block designs in which the number of blocks in which any t-tuple of treatments (t >= 2) occur together is a constant. When the focus of an experiment lies in grading and selecting treatment subgroups, t-designs would be preferred over the conventional ones, as they have the additional advantage of t-tuple balance. t-designs can be advantageously used in identifying the best crop-livestock combination for a particular location in Integrated Farming Systems that will help in generating maximum profit. But as the number of components increases, the number of possible t-component combinations will also increase. Most often, combinations derived from specific components are only practically feasible, for example, in a specific locality, farmers may not be interested in keeping a pig or goat and hence combinations involving these may not be of any use in that locality. In such situations partially balanced t-designs with f [...truncated...]
Imports: MASS
License: GPL (>= 2)
Encoding: UTF-8
Repository: CRAN
NeedsCompilation: no
Packaged: 2023-01-18 08:32:13 UTC; Ashutosh
Author: Sayantani Karmakar [aut, ctb], Cini Varghese [aut, ctb], Ashutosh Dalal [aut, cre], Vinaykumar LN [aut, ctb], Seema Jaggi [aut, ctb], Mohd Harun [aut, ctb]
Date/Publication: 2023-01-18 11:50:10 UTC

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New package multimix with initial version 1.0-10
Package: multimix
Title: Fit Mixture Models Using the Expectation Maximisation (EM) Algorithm
Version: 1.0-10
Date: 2023-01-18
Description: A set of functions which use the Expectation Maximisation (EM) algorithm (Dempster, A. P., Laird, N. M., and Rubin, D. B. (1977) <doi:10.1111/j.2517-6161.1977.tb01600.x> Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society, 39(1), 1--22) to take a finite mixture model approach to clustering. The package is designed to cluster multivariate data that have categorical and continuous variables and that possibly contain missing values. The method is described in Hunt, L. and Jorgensen, M. (1999) <doi:10.1111/1467-842X.00071> Australian & New Zealand Journal of Statistics 41(2), 153--171 and Hunt, L. and Jorgensen, M. (2003) <doi:10.1016/S0167-9473(02)00190-1> Mixture model clustering for mixed data with missing information, Computational Statistics & Data Analysis, 41(3-4), 429--440.
Depends: mvtnorm, R (>= 4.0.0)
Encoding: UTF-8
Imports: methods
License: GPL (>= 2)
URL: https://github.com/jmcurran/multimix
BugReports: https://github.com/jmcurran/multimix/issues
NeedsCompilation: no
Packaged: 2023-01-18 00:26:06 UTC; james
Author: Murray Jorgensen [aut], James Curran [cre, ctb]
Maintainer: James Curran <j.curran@auckland.ac.nz>
Repository: CRAN
Date/Publication: 2023-01-18 11:40:02 UTC

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New package macrosyntR with initial version 0.2.14
Package: macrosyntR
Title: Draw Ordered Oxford Grids
Version: 0.2.14
Maintainer: Sami El Hilali <elhilali.sami@gmail.com>
Depends: R (>= 4.1.0)
Imports: stats, utils, ggplot2, ggthemes, igraph, tidyr, reshape2, dplyr
Description: Use standard genomics file format (BED) and a table of orthologs to illustrate pair-wise synteny conservation at the genome-wide scale. Significantly conserved linkage groups are identified as described in Simakov et al. (2020) <doi:10.1038/s41559-020-1156-z> and displayed on an Oxford Grid (Edwards (1991) <doi:10.1111/j.1469-1809.1991.tb00394.x>). The package provides a function that uses a network-based greedy algorithm to find communities (Clauset et al. (2004) <doi:10.1103/PhysRevE.70.066111>) and so automatically order the chromosomes on the plot to improve interpretability.
Encoding: UTF-8
License: GPL-3
URL: https://github.com/SamiLhll/macrosyntR
BugReports: https://github.com/SamiLhll/macrosyntR/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-18 09:56:48 UTC; sami
Author: Sami El Hilali [aut, cre] , Richard Copley [aut]
Repository: CRAN
Date/Publication: 2023-01-18 12:00:06 UTC

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New package joineR with initial version 1.2.7
Package: joineR
Title: Joint Modelling of Repeated Measurements and Time-to-Event Data
Version: 1.2.7
Encoding: UTF-8
Description: Analysis of repeated measurements and time-to-event data via random effects joint models. Fits the joint models proposed by Henderson and colleagues <doi:10.1093/biostatistics/1.4.465> (single event time) and by Williamson and colleagues (2008) <doi:10.1002/sim.3451> (competing risks events time) to a single continuous repeated measure. The time-to-event data is modelled using a (cause-specific) Cox proportional hazards regression model with time-varying covariates. The longitudinal outcome is modelled using a linear mixed effects model. The association is captured by a latent Gaussian process. The model is estimated using am Expectation Maximization algorithm. Some plotting functions and the variogram are also included. This project is funded by the Medical Research Council (Grant numbers G0400615 and MR/M013227/1).
License: GPL-3 | file LICENSE
URL: https://github.com/graemeleehickey/joineR/
BugReports: https://github.com/graemeleehickey/joineR/issues
LazyData: true
ByteCompile: true
Depends: R (>= 3.6), survival
Imports: graphics, lattice, MASS, nlme, statmod, stats, utils
Suggests: knitr, rmarkdown, testthat, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-17 17:40:35 UTC; hickey
Author: Pete Philipson [aut] , Ines Sousa [aut] , Peter J. Diggle [aut] , Paula Williamson [aut] , Ruwanthi Kolamunnage-Dona [aut] , Robin Henderson [aut], Graeme L. Hickey [aut, cre] , Maria Sudell [ctb], Medical Research Council [fnd]
Maintainer: Graeme L. Hickey <graemeleehickey@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-18 11:50:02 UTC

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New package IDSL.FSA with initial version 1.0
Package: IDSL.FSA
Title: Fragmentation Spectra Analysis (FSA)
Version: 1.0
Depends: R (>= 4.0)
Imports: doParallel, foreach, readxl
Author: Sadjad Fakouri-Baygi [cre, aut] , Dinesh Barupal [aut]
Maintainer: Sadjad Fakouri-Baygi <sadjad.fakouri-baygi@mssm.edu>
Description: The 'IDSL.FSA' package was designed to annotate standard .msp (mass spectra format) and .mgf (Mascot generic format) files using mass spectral entropy similarity, dot product (cosine) similarity, and normalized Euclidean mass error (NEME) followed by intelligent pre-filtering steps for rapid spectra searches. 'IDSL.FSA' also provides a number of modules to convert and manipulate .msp and .mgf files.
License: MIT + file LICENSE
URL: https://github.com/idslme/idsl.fsa
BugReports: https://github.com/idslme/idsl.fsa/issues
Encoding: UTF-8
Archs: i386, x64
NeedsCompilation: no
Packaged: 2023-01-18 01:08:18 UTC; sfbaygi
Repository: CRAN
Date/Publication: 2023-01-18 11:50:13 UTC

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New package Sie2nts with initial version 0.1.0
Package: Sie2nts
Title: Sieve Methods for Non-Stationary Time Series
Version: 0.1.0
Description: We provide functions for estimation and inference of locally-stationary time series using the sieve methods and bootstrapping procedure. In addition, it also contains functions to generate Daubechies and Coiflet wavelet by Cascade algorithm and to process data visualization.
License: MIT + file LICENSE
Encoding: UTF-8
Repository: CRAN
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Imports: ggplot2, Matrix, plotly, stringr, RCurl, splines, methods, utils, stats
NeedsCompilation: no
Packaged: 2023-01-17 23:38:14 UTC; xiucai admin
Author: Xiucai Ding [aut, cre, cph], Chen Qian [aut, cph]
Maintainer: Xiucai Ding <xiucaiding89@gmail.com>
Date/Publication: 2023-01-18 08:30:09 UTC

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New package MexBrewer with initial version 0.0.2
Package: MexBrewer
Title: Color Palettes Inspired by Works of Mexican Painters and Muralists
Version: 0.0.2
Description: Color palettes inspired by the works of Mexican painters and muralists. The package includes functions that return vectors of colors and also functions to use color and fill scales in 'ggplot2' visualizations.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/paezha/MexBrewer, https://paezha.github.io/MexBrewer/
BugReports: https://github.com/paezha/MexBrewer/issues
Depends: R (>= 2.10)
LazyData: true
Imports: ggplot2
NeedsCompilation: no
Packaged: 2023-01-17 18:42:59 UTC; paezha
Author: Antonio Paez [aut, cre]
Maintainer: Antonio Paez <paezha@mcmaster.ca>
Repository: CRAN
Date/Publication: 2023-01-18 08:10:06 UTC

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New package metabias with initial version 0.1.0
Package: metabias
Title: Meta-Analysis for Within-Study and/or Across-Study Biases
Description: Provides common components (classes, methods, documentation) for packages that conduct meta-analytic corrections and sensitivity analyses for within-study and/or across-study biases in meta-analysis. See the packages 'PublicationBias', 'phacking', and 'multibiasmeta'. These package implement methods described in, respectively: Mathur & VanderWeele (2020) <doi:10.31219/osf.io/s9dp6>; Mathur (2022) <doi:10.31219/osf.io/ezjsx>; Mathur (2022) <doi:10.31219/osf.io/u7vcb>.
Version: 0.1.0
Maintainer: Mika Braginsky <mika.br@gmail.com>
License: MIT + file LICENSE
URL: https://github.com/mikabr/metabias
BugReports: https://github.com/mikabr/metabias/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Rdpack
Suggests: robumeta, rstan
NeedsCompilation: no
Packaged: 2023-01-17 22:19:02 UTC; mbraginsky
Author: Mika Braginsky [aut, cre], Maya Mathur [aut]
Repository: CRAN
Date/Publication: 2023-01-18 08:20:07 UTC

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New package dggridR with initial version 3.0.0
Package: dggridR
Title: Discrete Global Grids
Version: 3.0.0
Date: 2023-01-16
Author: Richard Barnes [aut, cre], Kevin Sahr [aut, cph], Gerald Evenden [cph], Angus Johnson [cph], Frank Warmerdam [cph], Even Rouault [cph], Lian Song [ctb]
Maintainer: Richard Barnes <rijard.barnes@gmail.com>
NeedsCompilation: yes
Depends: R (>= 3.4.0), dplyr (>= 0.4), rlang (>= 0.4), sf (>= 1.0), sp (>= 1.2)
Suggests: ggplot2, knitr, rmarkdown, maps, mapproj, R.rsp, testthat
License: AGPL (>= 3)
Description: Spatial analyses involving binning require that every bin have the same area, but this is impossible using a rectangular grid laid over the Earth or over any projection of the Earth. Discrete global grids use hexagons, triangles, and diamonds to overcome this issue, overlaying the Earth with equally-sized bins. This package provides utilities for working with discrete global grids, along with utilities to aid in plotting such data.
URL: https://github.com/r-barnes/dggridR/
BugReports: https://github.com/r-barnes/dggridR/
Imports: Rcpp (>= 0.12.12), methods (>= 3.4.0)
LinkingTo: Rcpp
RcppModules: dgfuncs, gridgens, gridstats
Encoding: UTF-8
VignetteBuilder: knitr, R.rsp
SystemRequirements: C++11
Language: en-US
Packaged: 2023-01-16 19:29:20 UTC; rick
Repository: CRAN
Date/Publication: 2023-01-18 08:40:18 UTC

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New package CopernicusMarine with initial version 0.0.3
Package: CopernicusMarine
Title: Search Download and Handle Data from Copernicus Marine Service Information
Version: 0.0.3
Date: 2023-01-17
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>
Description: Subset and download data from EU Copernicus Marine Service Information: <https://data.marine.copernicus.eu>. Import data on the oceans physical and biogeochemical state from Copernicus into R without the need of external software.
Depends: R (>= 3.5.0)
Imports: crayon, dplyr, httr, jsonlite, leaflet, purrr, readr, rvest, sf, stringr, xml2
Suggests: lifecycle, stars, testthat (>= 3.0.0)
URL: <https://github.com/pepijn-devries/CopernicusMarine>
BugReports: https://github.com/pepijn-devries/CopernicusMarine/issues
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-01-17 21:05:32 UTC; vries171
Repository: CRAN
Date/Publication: 2023-01-18 08:20:09 UTC

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New package blindreview with initial version 1.0.1
Package: blindreview
Title: Blind Review Using Forward Search Procedures
Version: 1.0.1
Description: Randomly assigns identification to one of the variables of the dataset, say Treatment, and assigns random numbers to all the observations of the dataset. Reorders the database according to the random numbers, and then runs the appropriate forward search function on the blinded dataset. A file is created from which the user can identify any outliers using the graphics function in this package. An unmasking function is provided so that the user can identify the potential outliers in terms of their original values when blinding is no longer needed. Details of the forward search functions may be found in <https://CRAN.R-project.org/package=forsearch>.
Depends: R (>= 4.2)
License: GPL (>= 3)
SystemRequirements: gmp (>= 4.1)
Encoding: UTF-8
Imports: forsearch(>= 3.0.1), Hmisc(>= 4.7.2)
Suggests: rmarkdown, knitr
NeedsCompilation: no
Packaged: 2023-01-17 20:05:44 UTC; NO
Author: William Fairweather [aut, cre]
Maintainer: William Fairweather <wrf343@flowervalleyconsulting.com>
Repository: CRAN
Date/Publication: 2023-01-18 08:10:02 UTC

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Tue, 17 Jan 2023

New package parfm with initial version 2.7.7
Package: parfm
Title: Parametric Frailty Models
Version: 2.7.7
Description: Fits Parametric Frailty Models by maximum marginal likelihood. Possible baseline hazards: exponential, Weibull, inverse Weibull (Fréchet), Gompertz, lognormal, log-skew-normal, and loglogistic. Possible Frailty distributions: gamma, positive stable, inverse Gaussian and lognormal.
License: GPL-2
LazyLoad: yes
Depends: R (>= 2.10), survival, optimx
Imports: msm, graphics, sn
Encoding: UTF-8
NeedsCompilation: no
Author: Federico Rotolo [aut, cre], Marco Munda [aut], Andrea Callegaro [ctb]
Maintainer: Federico Rotolo <federico.rotolo@sanofi.com>
Packaged: 2023-01-17 14:28:01 UTC; E0492269
Repository: CRAN
Date/Publication: 2023-01-17 22:40:02 UTC

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New package survAH with initial version 1.0.0
Package: survAH
Title: Survival Data Analysis using Average Hazard
Version: 1.0.0
Date: 2023-01-16
Description: Performs two-sample comparisons based on average hazard with survival weight (AHSW) or general censoring-free incidence rate (CFIR) proposed by Uno and Horiguchi (2023) <doi:10.1002/sim.9651>.
License: GPL-2
Depends: survival, R (>= 2.10)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-16 22:31:18 UTC; miki
Author: Hajime Uno [aut] , Miki Horiguchi [aut, cre]
Maintainer: Miki Horiguchi <horiguchimiki@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-17 17:30:02 UTC

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New package rdss with initial version 1.0.0
Package: rdss
Title: Companion Datasets and Functions for Research Design in the Social Sciences
Version: 1.0.0
Description: Helper functions to accompany the Blair, Coppock, and Humphreys (2022) "Research Design in the Social Sciences: Declaration, Diagnosis, and Redesign" <https://book.declaredesign.org>. 'rdss' includes datasets, helper functions, and plotting components to enable use and replication of the book.
Imports: dplyr, rlang (>= 1.0.0), generics, ggplot2, tibble, tidyr, dataverse, readr, prediction, broom, purrr, estimatr, randomizr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0), rdrobust, DIDmultiplegt, broom.mixed, grf, CausalQueries, metafor, cjoint, lme4, rstanarm, spdep, DeclareDesign
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-01-17 01:43:01 UTC; gblair
Author: Graeme Blair [aut, cre] , Alexander Coppock [aut] , Macartan Humphreys [aut]
Maintainer: Graeme Blair <graeme.blair@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-17 17:40:02 UTC

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New package processpredictR with initial version 0.1.0
Package: processpredictR
Title: Process Prediction
Version: 0.1.0
Date: 2022-12-23
Description: Means to predict process flow, such as process outcome, next activity, next time, remaining time, and remaining trace. Off-the-shelf predictive models based on the concept of Transformers are provided, as well as multiple ways to customize the models. This package is partly based on work described in Zaharah A. Bukhsh, Aaqib Saeed, & Remco M. Dijkman. (2021). "ProcessTransformer: Predictive Business Process Monitoring with Transformer Network" <arXiv:2104.00721>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: bupaR, edeaR, dplyr, forcats, magrittr, reticulate, tidyr, tidyselect, purrr, stringr, keras, tensorflow, rlang, data.table, mltools, ggplot2, cli, glue, plotly, progress
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, lubridate, eventdataR
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-15 22:02:43 UTC; lucp8407
Author: Ivan Esin [aut], Gert Janssenswillen [cre], Hasselt University [cph]
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>
Repository: CRAN
Date/Publication: 2023-01-17 17:10:01 UTC

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New package pGRN with initial version 0.3.5
Package: pGRN
Title: Single-Cell RNA Sequencing Pseudo-Time Based Gene Regulatory Network Inference
Version: 0.3.5
Author: Gangcai Xie
Maintainer: Gangcai Xie <gcxiester@gmail.com>
Description: Inference and visualize gene regulatory network based on single-cell RNA sequencing pseudo-time information.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr, rmarkdown
Depends: R (>= 2.10),
Imports: bigmemory, doParallel, dtw, foreach, ggplot2, ggraph, igraph, lmtest, proxy, tidygraph, visNetwork, future
Suggests: knitr, webshot, rmarkdown,
NeedsCompilation: no
Packaged: 2023-01-16 14:36:55 UTC; gangcai
Repository: CRAN
Date/Publication: 2023-01-17 17:20:02 UTC

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New package OssaNMA with initial version 0.1.0
Package: OssaNMA
Title: Optimal Sample Size and Allocation with a Network Meta-Analysis
Version: 0.1.0
Description: A system for calculating the minimum total sample size needed to achieve a prespecified power or the optimal allocation for each treatment group with a fixed total sample size to maximize the power.
License: GPL-3
Imports: NlcOptim (>= 0.6), DEoptimR (>= 1.0.11)
Depends: R(>= 3.5.0)
URL: https://github.com/fangshuye/OssaNMA
BugReports: https://github.com/fangshuye/OssaNMA/issues
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, netmeta
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-16 23:19:05 UTC; fangshu
Author: Fangshu Ye [aut, cre]
Maintainer: Fangshu Ye <fye@iastate.edu>
Repository: CRAN
Date/Publication: 2023-01-17 17:30:14 UTC

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New package missCforest with initial version 0.0.8
Package: missCforest
Title: Ensemble Conditional Trees for Missing Data Imputation
Version: 0.0.8
Description: Single imputation based on the Ensemble Conditional Trees (i.e. Cforest algorithm Strobl, C., Boulesteix, A. L., Zeileis, A., & Hothorn, T. (2007) <doi:10.1186/1471-2105-8-25>).
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/ielbadisy/missCforest
BugReports: https://github.com/ielbadisy/missCforest/issues
Depends: partykit
Imports: stats
Suggests: testthat
NeedsCompilation: no
Packaged: 2023-01-16 16:53:57 UTC; elbadisy
Author: Imad El Badisy [aut, cre], Roch Giorgi [ctb]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-17 17:30:05 UTC

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New package mathml with initial version 0.5
Package: mathml
Title: Translate R Expressions to 'MathML' and 'LaTeX'/'MathJax'
Version: 0.5
Date: 2023-01-16
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>
Description: Translate R expressions to 'MathML' or 'MathJax' so that they can be rendered in 'rmarkdown' documents and shiny apps.
License: FreeBSD
Depends: rolog (>= 0.9.10)
Encoding: UTF-8
Suggests: rmarkdown, knitr, testthat
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2023-01-16 12:54:46 UTC; gondan
Author: Matthias Gondan [aut, cre, cph] , Irene Alfarone [ctb]
Repository: CRAN
Date/Publication: 2023-01-17 17:30:08 UTC

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New package hydflood with initial version 0.5.2
Package: hydflood
Title: Flood Extents and Durations along the Rivers Elbe and Rhine
Version: 0.5.2
Date: 2023-01-13
Description: Raster based flood modelling internally using 'hyd1d', an R package to interpolate 1d water level and gauging data. The package computes flood extent and durations through strategies originally developed for 'INFORM', an 'ArcGIS'-based hydro-ecological modelling framework. It does not provide a full, physical hydraulic modelling algorithm, but a simplified, near real time 'GIS' approach for flood extent and duration modelling. Computationally demanding annual flood durations have been computed already and data products were published by Weber (2022) <doi:10.1594/PANGAEA.948042>.
Depends: R (>= 4.0.0), sf, terra, raster, hyd1d
Imports: stats, Rdpack, grDevices
Suggests: knitr, rmarkdown, devtools, pkgdown, roxygen2, testthat, plot3D, plotrix, shiny, shinyjs, shiny.i18n, leaflet, leaflet.extras, leaflet.esri, pangaear, rgrass, tidyverse, stringr
License: GPL-2
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
BugReports: https://github.com/bafg-bund/hydflood/issues/
URL: https://hydflood.bafg.de, https://github.com/bafg-bund/hydflood
NeedsCompilation: no
Packaged: 2023-01-16 14:41:00 UTC; WeberA
Author: Arnd Weber [aut, cre] , Stephan Rosenzweig [ctb]
Maintainer: Arnd Weber <arnd.weber@bafg.de>
Repository: CRAN
Date/Publication: 2023-01-17 17:20:04 UTC

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New package getspanel with initial version 0.1.2
Package: getspanel
Title: General-to-Specific Modelling of Panel Data
Version: 0.1.2
Date: 2023-01-15
Description: Uses several types of indicator saturation and automated General-to-Specific (GETS) modelling from the 'gets' package and applies it to panel data. This allows the detection of structural breaks in panel data, operationalising a reverse causal approach of causal inference, see Pretis and Schwarz (2022) <doi:10.2139/ssrn.4022745>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/moritzpschwarz/getspanel, http://moritzschwarz.org/getspanel/
BugReports: https://github.com/moritzpschwarz/getspanel/issues
LazyData: true
Suggests: testthat, knitr, rmarkdown, lfe, prettydoc, plm, fixest, lmtest, sandwich
Imports: gets, fastDummies, Matrix, ggplot2, stats, mvtnorm
Depends: R (>= 3.5.0)
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2023-01-15 22:41:57 UTC; morit
Author: Felix Pretis [aut], Moritz Schwarz [aut, cre]
Maintainer: Moritz Schwarz <moritz.schwarz@scmo.eu>
Repository: CRAN
Date/Publication: 2023-01-17 17:20:08 UTC

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New package evoTS with initial version 1.0.0
Package: evoTS
Title: Analyses of Evolutionary Time-Series
Version: 1.0.0
Description: Facilitates univariate and multivariate analysis of evolutionary sequences of phenotypic change. The package extends the modeling framework available in the 'paleoTS' package. Please see <https://klvoje.github.io/evoTS/index.html> for information about the package and the implemented models.
License: GPL (>= 2)
Encoding: UTF-8
Imports: paleoTS (>= 0.4-4), mvtnorm, plotly, pracma, MASS, stats, utils
Maintainer: Kjetil Lysne Voje <k.l.voje@nhm.uio.no>
LazyData: true
Suggests: rmarkdown, knitr
Depends: R (>= 3.5.0)
URL: https://klvoje.github.io/evoTS/index.html
BugReports: https://github.com/klvoje/evoTS/issues
NeedsCompilation: no
Packaged: 2023-01-17 08:43:49 UTC; kjetillv
Author: Kjetil Lysne Voje [aut, cre]
Repository: CRAN
Date/Publication: 2023-01-17 17:40:05 UTC

More information about evoTS at CRAN
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New package df2yaml with initial version 0.3.0
Package: df2yaml
Title: Convert Dataframe to 'YAML'
Version: 0.3.0
Maintainer: Yabing Song <songyb0519@gmail.com>
Description: The 'df2yaml' aims to simplify the process of converting 'dataframe' to 'YAML' <https://yaml.org/>. The 'dataframe' with multiple key columns and one value column will be converted to the multi-level hierarchy.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, rrapply, tibble, yaml, magrittr, rlang
Suggests: rmarkdown, prettydoc, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-16 12:24:53 UTC; songyabing
Author: Yabing Song [aut, cre]
Repository: CRAN
Date/Publication: 2023-01-17 17:30:11 UTC

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New package SLPresElection with initial version 1.0.0
Package: SLPresElection
Title: Presidential Election Data of "Sri Lanka" from 1982 to 2015
Version: 1.0.0
Description: Presidential Election data of "Sri Lanka"" is stored in Pdf files, through Pdf scraping they are converted into data-frames and stored in this R package.
License: MIT + file LICENSE
URL: https://github.com/Amalan-ConStat/SLPresElection, https://amalan-constat.github.io/SLPresElection/index.html
BugReports: https://github.com/Amalan-ConStat/SLPresElection/issues
Depends: R (>= 4.0.0)
Suggests: spelling, testthat
Encoding: UTF-8
Language: en-US
LazyData: TRUE
NeedsCompilation: no
Packaged: 2023-01-15 04:50:13 UTC; amala
Author: Amalan Mahendran [aut, cre]
Maintainer: Amalan Mahendran <amalan0595@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-17 16:40:05 UTC

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New package RSP with initial version 0.1
Package: RSP
Title: 'shiny' Applications for Statistical and Psychometric Analysis
Version: 0.1
Maintainer: Eren Can Aybek <erencan@aybek.net>
Description: Toolbox with 'shiny' applications for widely used psychometric methods. Those methods include following analysis: Item analysis, item response theory calibration, principal component analysis, confirmatory factor analysis - structural equation modeling, generating simulated data. References: Chalmers (2012, <doi:10.18637/jss.v048.i06>); Revelle (2022, <https://CRAN.R-project.org/package=psych Version = 2.2.9.>); Rosseel (2012, <doi:10.18637/jss.v048.i02>); Magis & Raiche (2012, <doi:10.18637/jss.v048.i08>); Magis & Barrada (2017, <doi:10.18637/jss.v076.c01>).
License: GPL-3
Encoding: UTF-8
Imports: DT, GPArotation, MVN, Metrics, ShinyItemAnalysis, catR, foreign, gt, hornpa, igraph, lavaan, mirt, plyr, polycor, psych, rJava, semPlot, shinyBS, shinycustomloader, shinyjs, shinythemes, xlsx, shiny, utils, rstudioapi
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-12 20:17:06 UTC; Eren Can
Author: Celal Deha Dogan [aut] , Eren Can Aybek [aut, cre]
Repository: CRAN
Date/Publication: 2023-01-17 16:50:02 UTC

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New package readmet with initial version 1.6.6
Package: readmet
Title: Read some less Popular Formats Used in Meteorology
Version: 1.6.6
Date: 2023-01-14
Author: Clemens Druee, Universitaet Trier
Maintainer: Clemens Druee <druee@uni-trier.de>
Description: Contains tools for reading and writing data from or to files in dmna, Scintec Format-1, and Campbell Scientific TOA5 formats.
License: GPL-3
NeedsCompilation: no
Packaged: 2023-01-15 16:53:44 UTC; clemens
Repository: CRAN
Date/Publication: 2023-01-17 17:00:12 UTC

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New package evreg with initial version 1.0.0
Package: evreg
Title: Evidential Regression
Version: 1.0.0
Date: 2023-01-12
Description: An implementation of the 'Evidential Neural Network for Regression' model recently introduced in Denoeux (2023) <doi:10.36227/techrxiv.21791831.v1>. In this model, prediction uncertainty is quantified by Gaussian random fuzzy numbers as introduced in Denoeux (2023) <doi:10.1016/j.fss.2022.06.004>. The package contains functions for training the network, tuning hyperparameters by cross-validation or the hold-out method, and making predictions. It also contains utilities for making calculations with Gaussian random fuzzy numbers (such as, e.g., computing the degrees of belief and plausibility of an interval, or combining Gaussian random fuzzy numbers).
License: GPL-3
Depends: R (>= 3.1.0)
Imports: evclust,stats
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr,rmarkdown,nnet,MASS,ggplot2
NeedsCompilation: no
Packaged: 2023-01-15 06:19:34 UTC; Thierry
Author: Thierry Denoeux [aut, cre]
Maintainer: Thierry Denoeux <tdenoeux@utc.fr>
Repository: CRAN
Date/Publication: 2023-01-17 16:40:02 UTC

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New package MagmaClustR with initial version 1.1.1
Package: MagmaClustR
Title: Clustering and Prediction using Multi-Task Gaussian Processes with Common Mean
Version: 1.1.1
Description: An implementation for the multi-task Gaussian processes with common mean framework. Two main algorithms, called 'Magma' and 'MagmaClust', are available to perform predictions for supervised learning problems, in particular for time series or any functional/continuous data applications. The corresponding articles has been respectively proposed by Arthur Leroy, Pierre Latouche, Benjamin Guedj and Servane Gey (2022) <doi:10.1007/s10994-022-06172-1>, and Arthur Leroy, Pierre Latouche, Benjamin Guedj and Servane Gey (2020) <arXiv:2011.07866>. Theses approaches leverage the learning of cluster-specific mean processes, which are common across similar tasks, to provide enhanced prediction performances (even far from data) at a linear computational cost (in the number of tasks). 'MagmaClust' is a generalisation of 'Magma' where the tasks are simultaneously clustered into groups, each being associated to a specific mean process. User-oriented functions in the package are decomposed [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/ArthurLeroy/MagmaClustR, https://arthurleroy.github.io/MagmaClustR/
BugReports: https://github.com/ArthurLeroy/MagmaClustR/issues
Imports: broom, dplyr, ggplot2, magrittr, methods, mvtnorm, plyr, purrr, Rcpp, rlang, stats, tibble, tidyr, tidyselect
Suggests: gganimate, gifski, gridExtra, knitr, plotly, png, rmarkdown, testthat (>= 3.0.0), transformr
LinkingTo: Rcpp
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2023-01-16 15:25:56 UTC; Arthur Leroy
Author: Arthur Leroy [aut, cre] , Pierre Latouche [aut], Pierre Pathe [ctb], Alexia Grenouillat [ctb], Hugo Lelievre [ctb]
Maintainer: Arthur Leroy <arthur.leroy.pro@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-17 09:40:16 UTC

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New package gausscov with initial version 1.0.1
Package: gausscov
Version: 1.0.1
Date: 2022-12-15
Title: The Gaussian Covariate Method for Variable Selection
Author: Laurie Davies [aut, cre]
Maintainer: Laurie Davies <pldavies44@cantab.net>
Description: Given the standard linear model the traditional way of deciding whether to include the jth covariate is to apply the F-test to decide whether the corresponding beta coefficient is zero. The Gaussian covariate method is completely different. The question as to whether the beta coefficient is or is not zero is replaced by the question as to whether the covariate is better or worse than i.i.d. Gaussian noise. The P-value for the covariate is the probability that Gaussian noise is better. Surprisingly this can be given exactly and it is the same a the P-value for the classical model based on the F-distribution. The Gaussian covariate P-value is model free, it is the same for any data set. Using the idea it is possible to do covariate selection for a small number of covariates 25 by considering all subsets. Post selection inference causes no problems as the P-values hold whatever the data. The idea extends to stepwise regression again with exact probabilities. In the simplest version the [...truncated...]
LazyData: true
License: GPL-3
Depends: R (>= 3.5.0), stats
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-01-16 12:59:02 UTC; laurie
Repository: CRAN
Date/Publication: 2023-01-17 09:40:13 UTC

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Mon, 16 Jan 2023

New package torchaudio with initial version 0.2.1
Package: torchaudio
Title: R Interface to 'pytorch''s 'torchaudio'
Version: 0.2.1
Description: Provides access to datasets, models and processing facilities for deep learning in audio.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat, tuneR, knitr, rmarkdown, stringr, numbers, purrr, scales, httr, viridis, av
Imports: torch (>= 0.3.0), fs, rlang, utils, tools, glue, Rcpp, methods
VignetteBuilder: knitr
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2023-01-16 16:57:59 UTC; key
Author: Sigrid Keydana [aut, cre], Athos Damiani [aut], Daniel Falbel [aut]
Maintainer: Sigrid Keydana <sigrid@posit.co>
Repository: CRAN
Date/Publication: 2023-01-16 19:20:02 UTC

More information about torchaudio at CRAN
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New package symphony with initial version 0.1.1
Package: symphony
Title: Efficient and Precise Single-Cell Reference Atlas Mapping
Version: 0.1.1
Description: Implements the Symphony single-cell reference building and query mapping algorithms and additional functions described in Kang et al <https://www.nature.com/articles/s41467-021-25957-x>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat, ggthemes, ggrastr, ggrepel
LinkingTo: Rcpp, RcppArmadillo
Imports: methods, Rcpp, harmony, uwot, irlba, class, purrr, dplyr, ggplot2, stats, utils, magrittr, data.table, tibble, Matrix, tidyr, rlang, RColorBrewer, RANN
VignetteBuilder: knitr
Depends: R (>= 3.5)
NeedsCompilation: yes
Packaged: 2023-01-16 18:27:53 UTC; jbk37
Author: Joyce Kang [aut, cre] , Ilya Korsunsky [aut] , Soumya Raychaudhuri [aut]
Maintainer: Joyce Kang <joyce_kang@hms.harvard.edu>
Repository: CRAN
Date/Publication: 2023-01-16 19:30:02 UTC

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New package SIPmg with initial version 1.4
Package: SIPmg
Title: Statistical Analysis to Identify Isotope Incorporating MAGs
Version: 1.4
Description: Statistical analysis as part of a stable isotope probing (SIP) metagenomics study to identify isotope incorporating taxa recovered as metagenome-assembled genomes (MAGs). Helpful reading and a vignette in bookdown format is provided on the package site <https://zielslab.github.io/SIPmg.github.io/>.
URL: https://zielslab.github.io/SIPmg.github.io/
BugReports: https://github.com/ZielsLab/SIPmg
License: GPL-2
Encoding: UTF-8
Imports: HTSSIP, dplyr, lazyeval, phyloseq, plyr, stringr, tibble, tidyr, magrittr, ggplot2, ggpubr, purrr, rlang, MASS, DESeq2, data.table, utils
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-01-13 19:28:40 UTC; psampara
Depends: R (>= 3.5.0)
Suggests: rmarkdown, knitr, EBImage, readr, BiocManager, tidyverse
LazyData: true
Author: Pranav Sampara [aut, cre], Kate Waring [ctb], Ryan Ziels [aut]
Maintainer: Pranav Sampara <pranav.sai.4@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-16 10:20:02 UTC

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New package SAME with initial version 0.1.0
Package: SAME
Title: Seamless Adaptive Multi-Arm Multi-Stage Enrichment
Version: 0.1.0
Maintainer: Chengxue Zhong <czhong9106@gmail.com>
Description: Design a Bayesian seamless multi-arm biomarker-enriched phase II/III design with the survival endpoint with allowing sample size re-estimation. James M S Wason, Jean E Abraham, Richard D Baird, Ioannis Gournaris, Anne-Laure Vallier, James D Brenton, Helena M Earl, Adrian P Mander (2015) <doi:10.1038/bjc.2015.278>. Guosheng Yin, Nan Chen, J. Jack Lee (2018) <doi:10.1007/s12561-017-9199-7>. Ying Yuan, Beibei Guo, Mark Munsell, Karen Lu, Amir Jazaeri (2016) <doi:10.1002/sim.6971>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: boot, rjags, coda, extraDistr, survival, ggplot2, expint
Suggests: testthat, mockery, knitr, rmarkdown
Depends: R (>= 3.3.0)
NeedsCompilation: no
Packaged: 2023-01-13 14:24:41 UTC; alexz
Author: Chengxue Zhong [aut, cre], Haitao Pan [aut], Hongyu Miao [aut]
Repository: CRAN
Date/Publication: 2023-01-16 10:10:08 UTC

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New package ldt with initial version 0.1.1.0
Package: ldt
Title: Let Data Talk
Version: 0.1.1.0
Description: Methods and tools for creating a model set and estimating and evaluating the explanation or prediction power of its members. 'SUR' modelling (for parameter estimation), 'logit'/'probit' modelling (for binary classification), and 'VARMA' modelling (for time-series forecasting) are implemented. Evaluations are both in-sample and out-of-sample. It can be used for stepwise regression analysis <https://en.wikipedia.org/wiki/Stepwise_regression>, automatic model selection and model averaging (Claeskens and Hjort (2008, ISBN:1139471805, 9781139471800)), calculating benchmarks, and doing sensitivity analysis (Leamer (1983) <https://www.jstor.org/stable/1803924> proposal).
License: GPL (>= 3)
URL: https://github.com/rmojab63/LDT
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: C++17
Depends: R (>= 3.5.0)
Imports: Rcpp, readxl, jsonlite
Suggests: knitr, testthat, rmarkdown, kableExtra, MASS
LinkingTo: BH, Rcpp
LazyData: true
NeedsCompilation: yes
Packaged: 2023-01-14 03:15:54 UTC; rmoja
Author: Ramin Mojab [aut, cre], Microsoft Corporation [cph] , Michael Hutt [cph] , Stephen Becker [cph] by Ciyou Zhu . L-BFGS-B Version 3.0 is an algorithmic update from 2011, with coding changes by J. L. Morales), Math.NET [cph] , Christian Ammer [cph]
Maintainer: Ramin Mojab <rmojab63@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-16 10:30:02 UTC

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New package eoa3 with initial version 1.0
Package: eoa3
Title: Wildlife Mortality Estimator for Low Fatality Rates and Imperfect Detection
Version: 1.0
Date: 2023-01-11
Description: Evidence of Absence software (EoA) is a user-friendly application for estimating bird and bat fatalities at wind farms and designing search protocols. The software is particularly useful in addressing whether the number of fatalities has exceeded a given threshold and what search parameters are needed to give assurance that thresholds were not exceeded. The models are applicable even when zero carcasses have been found in searches, following Huso et al. (2015) <doi:10.1890/14-0764.1>, Dalthorp et al. (2017) <doi:10.3133/ds1055>, and Dalthorp and Huso (2015) <doi:10.3133/ofr20151227>.
Depends: R (>= 3.5.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: actuar, GenEst, MASS, rjags, survival, VGAM
NeedsCompilation: no
Packaged: 2023-01-13 15:53:31 UTC; ddalt
Author: Daniel Dalthorp [aut, cre]
Maintainer: Daniel Dalthorp <ddalthorp@protonmail.com>
Repository: CRAN
Date/Publication: 2023-01-16 10:10:02 UTC

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New package chatgpt with initial version 0.1.4
Package: chatgpt
Title: Interface to 'ChatGPT' from R
Version: 0.1.4
Maintainer: Juan Cruz Rodriguez <jcrodriguez@unc.edu.ar>
Description: 'OpenAI's 'ChatGPT' <https://openai.com/blog/chatgpt/> coding assistant for 'RStudio'. A set of functions and 'RStudio' addins that aim to help the R developer in tedious coding tasks.
License: GPL (>= 3)
URL: https://github.com/jcrodriguez1989/chatgpt
BugReports: https://github.com/jcrodriguez1989/chatgpt/issues
Encoding: UTF-8
Imports: httr, jsonlite, miniUI, rstudioapi, shiny, utils
NeedsCompilation: no
Packaged: 2023-01-14 12:37:17 UTC; jcrodriguez
Author: Juan Cruz Rodriguez [aut, cre]
Repository: CRAN
Date/Publication: 2023-01-16 10:30:06 UTC

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New package autoGO with initial version 0.9
Package: autoGO
Title: Auto-GO: Reproducible, Robust and High Quality Ontology Enrichment Visualizations
Version: 0.9
Description: Auto-GO is a framework that enables automated, high quality Gene Ontology enrichment analysis visualizations. It also features a handy wrapper for Differential Expression analysis around the 'DESeq2' package described in Love et al. (2014) <doi:10.1186/s13059-014-0550-8>. The whole framework is structured in different, independent functions, in order to let the user decide which steps of the analysis to perform and which plot to produce.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), readr (>= 2.1.2), enrichR
Imports: ape, ComplexHeatmap, DESeq2, dichromat, dplyr, ggplot2, ggrepel, grDevices, GSVA, imguR, openxlsx, purrr, RColorBrewer, reshape2, stats, stringr, SummarizedExperiment, textshape, tidyr, tidyselect, utils
Suggests: knitr, rlang, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-13 15:39:56 UTC; fabio
Author: Isabella Grassucci [aut] , Eleonora Sperandio [aut] , Fabio Ticconi [cre] , Alice Massacci [aut] , Lorenzo D'Ambrosio [aut] , Matteo Pallocca [aut]
Maintainer: Fabio Ticconi <fabio.ticconi@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-16 10:10:05 UTC

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New package viscomp with initial version 1.0.0
Package: viscomp
Title: Visualize Multi-Component Interventions in Network Meta-Analysis
Version: 1.0.0
Maintainer: Georgios Seitidis <g.seitidis@uoi.gr>
Description: A set of functions providing several visualization tools for exploring the behavior of the components in a network meta-analysis of multi-component (complex) interventions: - components descriptive analysis - heat plot of the two-by-two component combinations - leaving one component combination out scatter plot - violin plot for specific component combinations' effects - density plot for components' effects - waterfall plot for the interventions' effects that differ by a certain component combination - network graph of components - rank heat plot of components for multiple outcomes. The implemented tools are described by Seitidis et al. (2023) <doi:10.1002/jrsm.1617>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10),
Imports: circlize (>= 0.4.15), dplyr (>= 1.0.9), ggExtra (>= 0.10.0), ggnewscale (>= 0.4.8), ggplot2 (>= 3.3.6), Hmisc (>= 4.7.0), MASS (>= 7.3.56), netmeta (>= 1.3-0), plyr (>= 1.8.7), qgraph (>= 1.9.2), reshape2 (>= 1.4.4), tibble (>= 3.1.7), tidyr (>= 1.2.0)
Suggests: covr, knitr, rmarkdown
URL: https://github.com/georgiosseitidis/viscomp, https://georgiosseitidis.github.io/viscomp/
BugReports: https://github.com/georgiosseitidis/viscomp/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-13 11:50:46 UTC; delse
Author: Georgios Seitidis [aut, cre] , Sofia Tsokani [aut] , Christos Christogiannis [aut], Katerina Maria Kontouli [aut], Alexandros Fyraridis [aut], Stavros Nikolakopoulos [aut] , Areti Angeliki Veroniki [aut] , Dimitris Mavridis [aut]
Repository: CRAN
Date/Publication: 2023-01-16 09:50:02 UTC

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New package usedthese with initial version 0.1.0
Package: usedthese
Title: Summarises Package & Function Usage
Version: 0.1.0
Description: Consistent with 'knitr' syntax highlighting, 'usedthese' adds a summary table of R package & function usage to a Quarto document and enables aggregation of usage across a Quarto website. Learn more about 'usedthese' at <https://cgoo4.github.io/usedthese/>.
Language: en-GB
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: covr, rmarkdown, spelling, testthat (>= 3.0.0), tidyverse, xts
Imports: dplyr, highr, httr, kableExtra, knitr, purrr, readr, rlang, rvest, stringr, tibble, tidyr, withr
Depends: R (>= 4.1)
URL: https://cgoo4.github.io/usedthese/
BugReports: https://github.com/cgoo4/usedthese/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-13 12:03:13 UTC; carl
Author: Carl Goodwin [aut, cre]
Maintainer: Carl Goodwin <carl.goodwin@quantumjitter.com>
Repository: CRAN
Date/Publication: 2023-01-16 09:50:06 UTC

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Sun, 15 Jan 2023

New package ILS with initial version 0.3
Package: ILS
Title: Interlaboratory Study
Version: 0.3
Date: 2023-01-14
Depends: R (>= 3.1.0), lattice, multcomp, depthTools, fda.usc, MASS, stats
Description: It performs interlaboratory studies (ILS) to detect those laboratories that provide non-consistent results when comparing to others. It permits to work simultaneously with various testing materials, from standard univariate, and functional data analysis (FDA) perspectives. The univariate approach based on ASTM E691-08 consist of estimating the Mandel's h and k statistics to identify those laboratories that provide more significant different results, testing also the presence of outliers by Cochran and Grubbs tests, Analysis of variance (ANOVA) techniques are provided (F and Tuckey tests) to test differences in means corresponding to different laboratories per each material. Taking into account the functional nature of data retrieved in analytical chemistry, applied physics and engineering (spectra, thermograms, etc.). ILS package provides a FDA approach for finding the Mandel's k and h statistics distribution by smoothing bootstrap resampling.
License: GPL (>= 2)
LazyData: yes
Author: Miguel Flores [aut, cre], Ruben Fernandez [aut], Salvador Naya [aut], Javier Tarrio-Saavedra [aut]
Maintainer: Miguel Flores <ma.flores@outlook.com>
Repository: CRAN
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-01-15 19:48:16 UTC; UsuarioEPN
Date/Publication: 2023-01-15 22:20:02 UTC
URL: https://github.com/mflores72000/ILS/
BugReports: https://github.com/mflores72000/ILS/issues
Suggests: knitr, rmarkdown

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New package repoRter.nih with initial version 0.1.4
Package: repoRter.nih
Title: R Interface to the 'NIH RePORTER Project' API
Version: 0.1.4
Description: Methods to easily build requests in the non-standard JSON schema required by the National Institute of Health (NIH)'s 'RePORTER Project API' <https://api.reporter.nih.gov/#/Search/post_v2_projects_search>. Also retrieve and process result sets as either a ragged or flattened 'tibble'.
License: MIT + file LICENSE
URL: https://github.com/bikeactuary/repoRter.nih
BugReports: https://github.com/bikeactuary/repoRter.nih/issues
Depends: R (>= 4.0.0)
Imports: assertthat (>= 0.2.1), crayon (>= 1.4.1), dplyr (>= 1.0.7), httr (>= 1.4.2), janitor (>= 2.1.0), jsonlite (>= 1.7.2), lubridate (>= 1.7.10), magrittr (>= 2.0.1), purrr (>= 0.3.4), tibble (>= 3.1.3)
Suggests: devtools, ggplot2, ggrepel, knitr, tinytex, rmarkdown, scales, tufte, spelling
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2023-01-14 02:23:49 UTC; mbarr
Author: Michael Barr, ACAS, MAAA, CPCU [cre, aut]
Maintainer: "Michael Barr, ACAS, MAAA, CPCU" <mike@bikeactuary.com>
Repository: CRAN
Date/Publication: 2023-01-15 17:10:02 UTC

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New package IGP with initial version 0.2.1
Package: IGP
Title: Interchangeable Gaussian Process Models
Version: 0.2.1
Description: Creates a Gaussian process model using the specified package. Makes it easy to try different packages in same code, only the package argument needs to be changed. It is essentially a wrapper for the other Gaussian process software packages. For more info about Gaussian process software and comparison of various options, see Erickson et al. (2018) <doi:10.1016/j.ejor.2017.10.002>.
License: GPL-3
Imports: R6, reticulate
Suggests: GPfit, laGP, mlegp, tgp, DiceKriging, CGP, GauPro, hetGP, testthat, lhs, ggplot2, reshape, ContourFunctions, numDeriv
URL: https://github.com/CollinErickson/IGP
BugReports: https://github.com/CollinErickson/IGP/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-01-15 14:09:42 UTC; colli
Author: Collin Erickson [aut, cre]
Maintainer: Collin Erickson <collinberickson@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-15 17:10:05 UTC

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Sat, 14 Jan 2023

New package sca with initial version 0.9-1
Package: sca
Title: Simple Component Analysis
Version: 0.9-1
Date: 2023-01-14
Description: Simple Component Analysis (SCA) often provides much more interpretable components than Principal Components (PCA) while still representing much of the variability in the data.
Author: Valentin Rousson <rousson@ifspm.unizh.ch> and Martin Maechler
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>
Imports: grDevices, graphics, stats
Suggests: MASS, Matrix
BuildResaveData: no
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2023-01-13 16:21:40 UTC; maechler
Repository: CRAN
Date/Publication: 2023-01-14 13:20:02 UTC

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Fri, 13 Jan 2023

New package conText with initial version 1.4.2
Package: conText
Version: 1.4.2
Title: 'a la Carte' on Text (ConText) Embedding Regression
Description: A fast, flexible and transparent framework to estimate context-specific word and short document embeddings using the 'a la carte' embeddings approach developed by Khodak et al. (2018) <arXiv:1805.05388> and evaluate hypotheses about covariate effects on embeddings using the regression framework developed by Rodriguez et al. (2021)<https://github.com/prodriguezsosa/EmbeddingRegression>.
License: GPL-3
Depends: R (>= 3.6.0)
Imports: dplyr, Matrix (>= 1.3-2), quanteda (>= 3.0.0), text2vec (>= 0.6), reshape2 (>= 1.4.4), fastDummies (>= 1.6.3), stringr (>= 1.4.0), tidyr (>= 1.1.3), ggplot2, methods
URL: https://github.com/prodriguezsosa/EmbeddingRegression
BugReports: https://github.com/prodriguezsosa/ConText/issues
Maintainer: Pedro L. Rodriguez <pedro.rodriguezsosa@gmail.com>
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Language: en-US
Suggests: SnowballC (>= 0.7.0), hunspell, knitr, rmarkdown, formatR
NeedsCompilation: no
Packaged: 2023-01-13 19:14:29 UTC; prodriguezsosa
Author: Pedro L. Rodriguez [aut, cre, cph] , Arthur Spirling [aut] , Brandon Stewart [aut] , Christopher Barrie [ctb]
Repository: CRAN
Date/Publication: 2023-01-13 23:50:05 UTC

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New package multilevelcoda with initial version 1.0.0
Package: multilevelcoda
Title: Estimate Bayesian Multilevel Models for Compositional Data
Version: 1.0.0
URL: https://florale.github.io/multilevelcoda/, https://github.com/florale/multilevelcoda
BugReports: https://github.com/florale/multilevelcoda/issues
Description: Implement Bayesian Multilevel Modelling for compositional data in a multilevel framework. Compute multilevel compositional data and Isometric log ratio (ILR) at between and within-person levels, fit Bayesian multilevel models for compositional predictors and outcomes, and run post-hoc analyses such as isotemporal substitution models.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: stats, data.table (>= 1.12.0), compositions, zCompositions, bayestestR, brms, extraoperators, ggplot2, emmeans, insight, ggsci, foreach
Suggests: testthat (>= 3.0.0), covr, withr, knitr, rmarkdown, doFuture, lme4
Config/testthat/parallel: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-13 00:09:26 UTC; florale
Author: Flora Le [aut, cre] , Joshua F. Wiley [aut]
Maintainer: Flora Le <13florale@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-13 19:10:02 UTC

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New package emplikAUC with initial version 0.3
Package: emplikAUC
Version: 0.3
Title: Empirical Likelihood Ratio Test/Confidence Interval for AUC or pAUC
Maintainer: Mai Zhou <maizhou@gmail.com>
Depends: R (>= 3.2.5), emplik2, rootSolve
Imports: stats
Description: Test hypotheses and construct confidence intervals for AUC (area under Receiver Operating Characteristic curve) and pAUC (partial area under ROC curve), from the given two samples of test data with disease/healthy subjects. The method used is based on two sample empirical likelihood, as described in <https://www.ms.uky.edu/~mai/research/eAUC1.pdf>.
License: GPL (>= 2)
NeedsCompilation: no
Author: Mai Zhou [aut, cre, cph], Xue Ding [aut]
Packaged: 2023-01-13 04:37:26 UTC; maizh
Repository: CRAN
Date/Publication: 2023-01-13 19:20:02 UTC

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New package qfa with initial version 1.2
Package: qfa
Title: Quantile-Frequency Analysis (QFA) of Time Series
Version: 1.2
Date: 2023-01-06
Maintainer: Ta-Hsin Li <thl@us.ibm.com>
Description: Quantile-frequency analysis (QFA) of univariate or multivariate time series based on the method of trigonometric quantile regression. See Li, T.-H. (2012) "Quantile periodograms", Journal of the American Statistical Association, 107, 765–776, <doi:10.1080/01621459.2012.682815>; Li, T.-H. (2014) Time Series with Mixed Spectra, CRC Press, <doi:10.1201/b15154>; Li, T.-H. (2022) "Quantile Fourier transform, quantile series, and nonparametric estimation of quantile spectra", <doi:10.48550/arXiv.2211.05844>.
Depends: R (>= 3.5)
Imports: RhpcBLASctl, doParallel, fields, foreach, mgcv, nlme, parallel, quantreg, splines, stats, graphics, colorRamps
License: GPL (>= 2)
URL: https://www.r-project.org, https://github.com/IBM/qfa
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2023-01-12 15:10:06 UTC; 991216897
Author: Ta-Hsin Li [cre, aut]
X-CRAN-Comment: Archived on 2014-09-19 as vignette locations were never updated for R 3.1.0.
Repository: CRAN
Date/Publication: 2023-01-13 18:50:07 UTC

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New package gravmagsubs with initial version 1.0.0
Package: gravmagsubs
Title: Gravitational and Magnetic Attraction of 3-D Vertical Rectangular Prisms
Version: 1.0.0
Description: Computes the gravitational and magnetic anomalies generated by 3-D vertical rectangular prisms at specific observation points using the method of Plouff (1976) <doi:10.1190/1.1440645>.
License: CC0
Imports: Rcpp (>= 1.0.5)
LinkingTo: Rcpp
SystemRequirements: GNU make
Suggests: knitr, rmarkdown, fields, ggplot2, gridExtra, scales, scatterplot3d
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-01-12 16:22:10 UTC; ccronkite-ratcliff
Author: C. Cronkite-Ratcliff [aut, cre] , G. Phelps [aut] , D. Scheirer [aut]
Maintainer: C. Cronkite-Ratcliff <ccronkite-ratcliff@usgs.gov>
Repository: CRAN
Date/Publication: 2023-01-13 19:00:02 UTC

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New package AllelicSeries with initial version 0.0.2.2
Package: AllelicSeries
Title: Allelic Series Test
Version: 0.0.2.2
Description: Implementation of gene-level rare variant association tests targeting allelic series: genes where increasingly deleterious mutations have increasingly large phenotypic effects. The COding-variant Allelic Series Test (COAST) operates on the benign missense variants (BMVs), deleterious missense variants (DMVs), and protein truncating variants (PTVs) within a gene. COAST uses a set of adjustable weights that tailor the test towards rejecting the null hypothesis for genes where the average magnitude of effect increases monotonically from BMVs to DMVs to PTVs. See McCaw ZR, Somineni H, Bereket M, Klein C, Karaletsos T, Casale FP, Koller D, Soare TW. (2022) "An allelic series rare variant association test for candidate gene discovery" <doi:10.1101/2022.12.23.521658>.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Imports: Rcpp, RNOmni, SKAT
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-01-12 19:20:21 UTC; zmccaw
Author: Zachary McCaw [aut, cre] , Christoph Klein [ctb] , insitro [cph]
Maintainer: Zachary McCaw <zmccaw@insitro.com>
Repository: CRAN
Date/Publication: 2023-01-13 19:00:05 UTC

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New package dblcens with initial version 1.1.9
Package: dblcens
Title: Compute the NPMLE of Distribution Function from Doubly Censored Data, Plus the Empirical Likelihood Ratio for F(T)
Version: 1.1.9
Depends: R (>= 3.5)
Suggests: testthat (>= 3.0.0)
Description: Doubly censored data, as described in Chang and Yang (1987) <doi: 10.1214/aos/1176350608>), are commonly seen in many fields. We use EM algorithm to compute the non-parametric MLE (NPMLE) of the cummulative probability function/survival function and the two censoring distributions. One can also specify a constraint F(T)=C, it will return the constrained NPMLE and the -2 log empirical likelihood ratio for this constraint. This can be used to test the hypothesis about the constraint and, by inverting the test, find confidence intervals for probability or quantile via empirical likelihood ratio theorem. Influence functions of hat F may also be calculated, but currently, the it may be slow.
Maintainer: Yifan Yang <yfyang.86@hotmail.com>
URL: https://github.com/yfyang86/dblcens/
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: yes
Date: 2023-1-13 16:00:00
Packaged: 2023-01-13 08:30:18 UTC; yifanyang
Author: Mai Zhou [aut], Li Lee [aut], Kun Chen [aut], Yifan Yang [aut, cre, cph]
Date/Publication: 2023-01-13 13:50:05 UTC

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New package scenes with initial version 0.1.0
Package: scenes
Title: Switch Between Alternative 'shiny' UIs
Version: 0.1.0
Description: Sometimes it is useful to serve up alternative 'shiny' UIs depending on information passed in the request object, such as the value of a cookie or a query parameter. This packages facilitates such switches.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/r4ds/scenes, https://r4ds.github.io/scenes/
BugReports: https://github.com/r4ds/scenes/issues
Imports: cli, cookies, glue, purrr, rlang, shiny
Suggests: covr, knitr, pkgload, rmarkdown, stringr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-11 20:29:14 UTC; jonth
Author: Jon Harmon [aut, cre, cph]
Maintainer: Jon Harmon <jonthegeek@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-13 09:30:02 UTC

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New package parquetize with initial version 0.5.0
Package: parquetize
Title: Convert Files to Parquet Format
Version: 0.5.0
Description: Collection of functions to get files in parquet format. Parquet is a columnar storage file format <https://parquet.apache.org/>. The files to convert can be of several formats ("csv", "duckdb", "RData", "rds", "RSQLite", "json", "ndjson", "SAS", "SPSS"...).
License: Apache License (>= 2.0)
Encoding: UTF-8
URL: https://ddotta.github.io/parquetize/, https://github.com/ddotta/parquetize
BugReports: https://github.com/ddotta/parquetize/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: haven, arrow, curl, readr, dplyr, jsonlite, DBI, duckdb, RSQLite, cli
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-12 08:27:18 UTC; AQEW8W
Author: Damien Dotta [aut, cre]
Maintainer: Damien Dotta <damien.dotta@live.fr>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2023-01-13 09:50:02 UTC

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New package kidsides with initial version 0.4.0
Package: kidsides
Title: Download, Cache, and Connect to KidSIDES
Version: 0.4.0
Maintainer: Nicholas Giangreco <nick.giangreco@gmail.com>
Description: Caches and then connects to a 'sqlite' database containing half a million pediatric drug safety signals. The database is part of a family of resources catalogued at <https://nsides.io>. The database contains 17 tables where the description table provides a map between the fields the field's details. The database was created by Nicholas Giangreco during his PhD thesis which you can read in Giangreco (2022) <doi:10.7916/d8-5d9b-6738>. The observations are from the Food and Drug Administration's Adverse Event Reporting System. Generalized additive models estimated drug effects across child development stages for the occurrence of an adverse event when exposed to a drug compared to other drugs. Read more at the methods detailed in Giangreco (2022) <doi:10.1016/j.medj.2022.06.001>.
License: CC BY 4.0
Encoding: UTF-8
Imports: DBI, RSQLite, R.utils, tools
Suggests: ggplot2, dbplyr, tidyr, stringr, ggthemes, rlang, ggrepel, scales, pacman, dplyr, rmarkdown, knitr, covr, testthat (>= 3.0.0)
URL: https://github.com/ngiangre/kidsides, https://ngiangre.github.io/kidsides/, https://nsides.io
VignetteBuilder: knitr
Depends: R (>= 4.0)
NeedsCompilation: no
Packaged: 2023-01-11 22:48:21 UTC; nickgiangreco
Author: Nicholas Giangreco [aut, cph, cre]
Repository: CRAN
Date/Publication: 2023-01-13 09:40:02 UTC

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New package Hassani.Silva with initial version 1.0
Package: Hassani.Silva
Title: A Test for Comparing the Predictive Accuracy of Two Sets of Forecasts
Version: 1.0
Date: 2023-01-11
Description: A non-parametric test founded upon the principles of the Kolmogorov-Smirnov (KS) test, referred to as the KS Predictive Accuracy (KSPA) test. The KSPA test is able to serve two distinct purposes. Initially, the test seeks to determine whether there exists a statistically significant difference between the distribution of forecast errors, and secondly it exploits the principles of stochastic dominance to determine whether the forecasts with the lower error also reports a stochastically smaller error than forecasts from a competing model, and thereby enables distinguishing between the predictive accuracy of forecasts. KSPA test has been described in : Hassani and Silva (2015) <doi:10.3390/econometrics3030590>.
License: GPL-3
Depends: stats
Maintainer: Leila Marvian Mashhad <Leila.marveian@gmail.com>
NeedsCompilation: no
Packaged: 2023-01-12 05:13:17 UTC; ne_da
Author: Hossein Hassani [aut], Emmanuel Sirimal Silva [aut], Leila Marvian Mashhad [aut, cre]
Repository: CRAN
Date/Publication: 2023-01-13 09:50:05 UTC

More information about Hassani.Silva at CRAN
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