Wed, 16 Oct 2019

Package mixsqp updated to version 0.2-2 with previous version 0.1-97 dated 2019-02-18

Title: Sequential Quadratic Programming for Fast Maximum-Likelihood Estimation of Mixture Proportions
Description: Provides optimization algorithms based on sequential quadratic programming (SQP) for maximum likelihood estimation of the mixture proportions in a finite mixture model where the component densities are known. The algorithms are expected to obtain solutions that are at least as accurate as the state-of-the-art MOSEK interior-point solver (called by function "KWDual" in the 'REBayes' package), and they are expected to arrive at solutions more quickly in large data sets. The algorithms are described in Y. Kim, P. Carbonetto, M. Stephens & M. Anitescu (2018) <arXiv:1806.01412>.
Author: Youngseok Kim [aut], Peter Carbonetto [aut, cre], Mihai Anitescu [aut], Matthew Stephens [aut], Jason Willwerscheid [ctb], Jean Morrison [ctb]
Maintainer: Peter Carbonetto <peter.carbonetto@gmail.com>

Diff between mixsqp versions 0.1-97 dated 2019-02-18 and 0.2-2 dated 2019-10-16

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Package metScanR updated to version 1.2.3 with previous version 1.2.2 dated 2019-02-02

Title: Find, Map, and Gather Environmental Data and Metadata
Description: A tool for locating, mapping, and gathering environmental data and metadata, worldwide. Users can search for and filter metadata from > 157,000 environmental monitoring stations among 219 countries/territories and >20 networks/organizations via elevation, location, active dates, elements measured (e.g., temperature, precipitation), country, network, and/or known identifier. Future updates to the package will allow the user to obtain datasets from stations within the database.
Author: Josh Roberti [aut, cre], Cody Flagg [aut], Lee Stanish [aut], Robert Lee [aut]
Maintainer: Josh Roberti <jaroberti87@gmail.com>

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Package dlsem updated to version 2.4.4 with previous version 2.4.3 dated 2019-08-20

Title: Distributed-Lag Linear Structural Equation Models
Description: Inference functionalities for distributed-lag linear structural equation models (DLSEMs). DLSEMs are Markovian structural causal models where each factor of the joint probability distribution is a distributed-lag linear regression (Magrini, 2018 <doi:10.2478/bile-2018-0012>; Magrini et al., 2019 <doi:10.1007/s11135-019-00855-z>). DLSEMs account for temporal delays in the dependence relationships among the variables and allow to perform dynamic causal inference by assessing causal effects at different time lags. Endpoint-constrained quadratic, quadratic decreasing and gamma lag shapes are available.
Author: Alessandro Magrini
Maintainer: Alessandro Magrini <alessandro.magrini@unifi.it>

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Package DChaos updated to version 0.1-3 with previous version 0.1-2 dated 2019-05-29

Title: Chaotic Time Series Analysis
Description: Provides several algorithms for the purpose of detecting chaotic signals inside univariate time series. We focus on methods derived from chaos theory which estimate the complexity of a dataset through exploring the structure of the attractor. We have taken into account the Lyapunov exponents as an ergodic measure. We have implemented the Jacobian method by a fit through neural networks in order to estimate both the largest and the spectrum of Lyapunov exponents. We have considered the full sample and three different methods of subsampling by blocks (non-overlapping, equally spaced and bootstrap) to estimate them. In addition, it is possible to make inference about them and know if the estimated Lyapunov exponents values are or not statistically significant. This library can be used with time series whose time-lapse is fixed or variable. That is, it considers time series whose observations are sampled at fixed or variable time intervals. For a review see David Ruelle and Floris Takens (1971) <doi:10.1007/BF01646553>, Ramazan Gencay and W. Davis Dechert (1992) <doi:10.1016/0167-2789(92)90210-E>, Jean-Pierre Eckmann and David Ruelle (1995) <doi:10.1103/RevModPhys.57.617>, Mototsugu Shintani and Oliver Linton (2004) <doi:10.1016/S0304-4076(03)00205-7>, Jeremy P. Huke and David S. Broomhead (2007) <doi:10.1088/0951-7715/20/9/011>.
Author: Julio E. Sandubete [aut, cre], Lorenzo Escot [aut]
Maintainer: Julio E. Sandubete <jsandube@ucm.es>

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Package ctrdata updated to version 1.0 with previous version 0.18.2 dated 2019-05-01

Title: Retrieve and Analyze Clinical Trials in Public Registers
Description: Provides functions for querying, retrieving and analysing protocol- and results-related information on clinical trials from two public registers, the European Union Clinical Trials Register (EUCTR, <https://www.clinicaltrialsregister.eu/>) and ClinicalTrials.gov (CTGOV, <https://clinicaltrials.gov/>). The information is transformed and then stored in a database (mongo). Functions are provided for accessing and analysing the locally stored information on the clinical trials, as well as for identifying duplicate records. The package is motivated by the need for aggregating and trend-analysing the design, conduct and outcomes across clinical trials.
Author: Ralf Herold [aut, cre] (<https://orcid.org/0000-0002-8148-6748>)
Maintainer: Ralf Herold <ralf.herold@mailbox.org>

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Package covr updated to version 3.3.2 with previous version 3.3.1 dated 2019-08-23

Title: Test Coverage for Packages
Description: Track and report code coverage for your package and (optionally) upload the results to a coverage service like 'Codecov' <http://codecov.io> or 'Coveralls' <http://coveralls.io>. Code coverage is a measure of the amount of code being exercised by a set of tests. It is an indirect measure of test quality and completeness. This package is compatible with any testing methodology or framework and tracks coverage of both R code and compiled C/C++/FORTRAN code.
Author: Jim Hester [aut, cre], Willem Ligtenberg [ctb], Kirill Müller [ctb], Henrik Bengtsson [ctb], Steve Peak [ctb], Kirill Sevastyanenko [ctb], Jon Clayden [ctb], Robert Flight [ctb], Eric Brown [ctb], Brodie Gaslam [ctb], Will Beasley [ctb], Robert Krzyzanowski [ctb], Markus Wamser [ctb], Karl Forner [ctb], Gergely Daróczi [ctb], Jouni Helske [ctb], Kun Ren [ctb], Jeroen Ooms [ctb], Ken Williams [ctb], Chris Campbell [ctb], David Hugh-Jones [ctb], Qin Wang [ctb], Ivan Sagalaev [ctb, cph] (highlight.js library), Mark Otto [ctb] (Bootstrap library), Jacob Thornton [ctb] (Bootstrap library), Bootstrap contributors [ctb] (Bootstrap library), Twitter, Inc [cph] (Bootstrap library)
Maintainer: Jim Hester <james.f.hester@gmail.com>

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Package decisionSupport updated to version 1.105.2 with previous version 1.103.8 dated 2018-10-15

Title: Quantitative Support of Decision Making under Uncertainty
Description: Supporting the quantitative analysis of binary welfare based decision making processes using Monte Carlo simulations. Decision support is given on two levels: (i) The actual decision level is to choose between two alternatives under probabilistic uncertainty. This package calculates the optimal decision based on maximizing expected welfare. (ii) The meta decision level is to allocate resources to reduce the uncertainty in the underlying decision problem, i.e to increase the current information to improve the actual decision making process. This problem is dealt with using the Value of Information Analysis. The Expected Value of Information for arbitrary prospective estimates can be calculated as well as Individual Expected Value of Perfect Information. The probabilistic calculations are done via Monte Carlo simulations. This Monte Carlo functionality can be used on its own.
Author: Eike Luedeling [cre, aut] (University of Bonn), Lutz Goehring [aut] (ICRAF and Lutz Goehring Consulting), Katja Schiffers [aut] (University of Bonn)
Maintainer: Eike Luedeling <eike@eikeluedeling.com>

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Package coil updated to version 1.0.1 with previous version 1.0.0 dated 2019-10-09

Title: Contextualization and Evaluation of COI-5P Barcode Data
Description: Designed for the cleaning, contextualization and assessment of cytochrome c oxidase I DNA barcode data (COI-5P, or the five prime portion of COI). It contains functions for placing COI-5P barcode sequences into a common reading frame, translating DNA sequences to amino acids and for assessing the likelihood that a given barcode sequence includes an insertion or deletion error. The error assessment relies on the comparison of input sequences against nucleotide and amino acid profile hidden Markov models (for details see Durbin et al. 1998, ISBN: 9780521629713) trained on a taxonomically diverse set of reference sequences. The functions are provided as a complete pipeline and are also available individually for efficient and targeted analysis of barcode data.
Author: Cameron M. Nugent
Maintainer: Cameron M. Nugent <nugentc@uoguelph.ca>

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Package simstudy updated to version 0.1.15 with previous version 0.1.14 dated 2019-08-09

Title: Simulation of Study Data
Description: Simulates data sets in order to explore modeling techniques or better understand data generating processes. The user specifies a set of relationships between covariates, and generates data based on these specifications. The final data sets can represent data from randomized control trials, repeated measure (longitudinal) designs, and cluster randomized trials. Missingness can be generated using various mechanisms (MCAR, MAR, NMAR).
Author: Keith Goldfeld [aut, cre]
Maintainer: Keith Goldfeld <Keith.Goldfeld@nyumc.org>

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Package nhdplusTools updated to version 0.3.9 with previous version 0.3.8 dated 2019-08-27

Title: NHDPlus Tools
Description: Tools for traversing and working with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'nhdplusTools' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>.
Author: David Blodgett [aut, cre], Michael Johnson [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package exact2x2 updated to version 1.6.3.1 with previous version 1.6.3 dated 2018-07-27

Title: Exact Tests and Confidence Intervals for 2x2 Tables
Description: Calculates conditional exact tests (Fisher's exact test, Blaker's exact test, or exact McNemar's test) and unconditional exact tests (including score-based tests on differences in proportions, ratios of proportions, and odds ratios, and Boshcloo's test) with appropriate matching confidence intervals, and provides power and sample size calculations. Gives melded confidence intervals for the binomial case. Gives boundary-optimized rejection region test (Gabriel, et al, 2018, <DOI:10.1002/sim.7579>), an unconditional exact test for the situation where the controls are all expected to fail.
Author: Michael P. Fay, Sally A. Hunsberger, Martha Nason, Erin Gabriel
Maintainer: Michael P. Fay <mfay@niaid.nih.gov>

Diff between exact2x2 versions 1.6.3 dated 2018-07-27 and 1.6.3.1 dated 2019-10-16

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 inst/doc/exact2x2Validation.pdf         |binary
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 tests/testthat/test_Exact.R             |   14 +++++++-------
 10 files changed, 24 insertions(+), 21 deletions(-)

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Package bigreadr updated to version 0.1.11 with previous version 0.1.10 dated 2019-09-17

Title: Read Large Text Files
Description: Read large text files by splitting them in smaller files. Package 'bigreadr' also provides some convenient wrappers around fread() and fwrite() from package 'data.table'.
Author: Florian Privé [aut, cre]
Maintainer: Florian Privé <florian.prive.21@gmail.com>

Diff between bigreadr versions 0.1.10 dated 2019-09-17 and 0.1.11 dated 2019-10-16

 bigreadr-0.1.10/bigreadr/R/utils.R                    |only
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 bigreadr-0.1.11/bigreadr/NAMESPACE                    |    6 ++
 bigreadr-0.1.11/bigreadr/R/bigreadr-package.R         |    1 
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 bigreadr-0.1.11/bigreadr/man/cbind_df.Rd              |    2 
 bigreadr-0.1.11/bigreadr/man/rbind_df.Rd              |    2 
 bigreadr-0.1.11/bigreadr/tests/testthat/test-nlines.R |    4 -
 11 files changed, 33 insertions(+), 65 deletions(-)

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Package logNormReg updated to version 0.3-0 with previous version 0.2-0 dated 2018-10-16

Title: log Normal Linear Regression
Description: Functions to fits simple linear regression models with log normal errors and identity link (taking the responses on the original scale). See Muggeo (2018) <doi:10.13140/RG.2.2.18118.16965>.
Author: Vito M. R. Muggeo [aut, cre] (<https://orcid.org/0000-0002-3386-4054>)
Maintainer: Vito M. R. Muggeo <vito.muggeo@unipa.it>

Diff between logNormReg versions 0.2-0 dated 2018-10-16 and 0.3-0 dated 2019-10-16

 DESCRIPTION               |    8 +-
 MD5                       |   19 +++--
 NAMESPACE                 |    3 
 NEWS                      |   11 ++-
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 R/lognlm.R                |  144 ++++++++++++++++++++++-----------------------
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Package details updated to version 0.1.1 with previous version 0.1.0 dated 2019-10-09

Title: Create Details HTML Tag for Markdown and Package Documentation
Description: Create a details HTML tag around R objects to place in a Markdown, 'Rmarkdown' and 'roxygen2' documentation.
Author: Jonathan Sidi [aut, cre]
Maintainer: Jonathan Sidi <yonicd@gmail.com>

Diff between details versions 0.1.0 dated 2019-10-09 and 0.1.1 dated 2019-10-16

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 tests/testthat/test-basic.R      |    7 ++
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 vignettes/sessioninfo.Rmd        |    4 +
 25 files changed, 321 insertions(+), 215 deletions(-)

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New package pancor with initial version 0.1.0
Package: pancor
Type: Package
Title: Calculation and Plot of Gene Correlationship in TCGA/GTEx/CCLE
Description: The data of TCGA (The Cancer Genome Atlas), GTEx (Genotype-Tissue Expression), and CCLE (Broad Institute Cancer Cell Line Encyclopedia) are downloaded and preprocessed. With the help of 'pancor', one can easily calculate the correlation of two gene in any cancer type. Reference: Huang, H. (2019) <doi:10.1038/s41586-019-1016-7>.
Version: 0.1.0
Authors@R: c(person(given = "Zhougeng", family = "Xu", email = "xuzhougeng@163.com", role = c("aut", "cre")), person(given = "Shipeng", family = "Guo", role = c("aut", "ctb")))
Maintainer: Zhougeng Xu <xuzhougeng@163.com>
License: Artistic-2.0
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 3.5.0)
Imports: ggplot2, rlang
Suggests: testthat
NeedsCompilation: no
Packaged: 2019-10-15 01:28:54 UTC; DELL
Author: Zhougeng Xu [aut, cre], Shipeng Guo [aut, ctb]
Repository: CRAN
Date/Publication: 2019-10-16 12:20:02 UTC

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New package IndexNumber with initial version 1.0
Package: IndexNumber
Type: Package
Title: Index Numbers in Social Sciences
Version: 1.0
Date: 2019-10-11
Author: Alejandro Saavedra-Nieves, Paula Saavedra-Nieves
Maintainer: Alejandro Saavedra-Nieves <alejandro.saavedra.nieves@gmail.com>
Description: We provide an R tool to determine index numbers. It is a measure of the evolution of a fixed magnitude for only a product of for several products. It is very useful in Social Sciences. Among others, we obtain simple index numbers (in chain or in serie), index numbers for not only a product or weighted index numbers as the Laspeyres index (Laspeyres, 1864), the Paasche index (Paasche, 1874) or the Fisher index (Lapedes, 1978).
License: GPL-2
NeedsCompilation: no
Packaged: 2019-10-14 15:57:43 UTC; alexs
Repository: CRAN
Date/Publication: 2019-10-16 12:10:05 UTC

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New package govdown with initial version 0.7.0
Package: govdown
Title: GOV.UK Style Templates for R Markdown
Version: 0.7.0
Authors@R: c(person(given = "Crown Copyright 2018", role = "cph"), person(given = "Duncan", family = "Garmonsway", role = c("aut", "cre"), email = "duncan.garmonsway@digital.cabinet-office.gov.uk"))
Description: A suite of custom R Markdown formats and templates for authoring web pages styled with the GOV.UK Design System.
License: MIT + file LICENSE
URL: https://ukgovdatascience.github.io/govdown
BugReports: https://github.com/ukgovdatascience/govdown/issues
Imports: rmarkdown
Suggests: reticulate, testthat (>= 2.1.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
SystemRequirements: pandoc (>= 2.0) - http://pandoc.org
NeedsCompilation: no
Packaged: 2019-10-14 16:01:40 UTC; nacnudus
Author: Crown Copyright 2018 [cph], Duncan Garmonsway [aut, cre]
Maintainer: Duncan Garmonsway <duncan.garmonsway@digital.cabinet-office.gov.uk>
Repository: CRAN
Date/Publication: 2019-10-16 12:10:02 UTC

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New package BFS with initial version 0.2.1
Package: BFS
Type: Package
Title: Search and Download Data from the Swiss Federal Statistical Office (BFS)
Version: 0.2.1
Authors@R: person("Felix", "Luginbuhl", email = "felix.luginbuhl@protonmail.ch", role = c("aut", "cre"))
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>
Description: Search and download data from the Swiss Federal Statistical Office <https://www.bfs.admin.ch/>.
License: MIT + file LICENSE
Depends: R (>= 3.0.1)
Imports: xml2, rvest, tibble, magrittr, purrr, janitor, progress, pxR
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
URL: https://felixluginbuhl.com/BFS, https://github.com/lgnbhl/BFS
BugReports: https://github.com/lgnbhl/BFS/issues
NeedsCompilation: no
Packaged: 2019-10-14 16:26:40 UTC; Felix
Author: Felix Luginbuhl [aut, cre]
Repository: CRAN
Date/Publication: 2019-10-16 12:10:08 UTC

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New package ANOVAIREVA with initial version 0.1.0
Package: ANOVAIREVA
Type: Package
Title: Interactive Document for Working with Analysis of Variance
Version: 0.1.0
Author: Kartikeya Bolar
Maintainer: Kartikeya Bolar <kartikeya.bolar@tapmi.edu.in>
Description: An interactive document on the topic of one-way and two-way analysis of variance using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at <https://tinyurl.com/ANOVAStatsTool>.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 3.0.3)
Imports: shiny,rmarkdown,dplyr,datasets,car,ggplot2,plotly
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-10-15 06:54:03 UTC; KARTIKEYA
Repository: CRAN
Date/Publication: 2019-10-16 12:40:02 UTC

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New package ALassoSurvIC with initial version 0.1.0
Package: ALassoSurvIC
Type: Package
Title: Adaptive Lasso for the Cox Regression with Interval Censored and Possibly Left Truncated Data
Version: 0.1.0
Author: Chenxi Li, Daewoo Pak and David Todem
Maintainer: Daewoo Pak <heavyrain.pak@gmail.com>
Description: Penalized variable selection tools for the Cox proportional hazards model with interval censored and possibly left truncated data. It performs variable selection via penalized nonparametric maximum likelihood estimation with an adaptive lasso penalty. The optimal thresholding parameter can be searched by the package based on the profile Bayesian information criterion (BIC). The asymptotic validity of the methodology is established in Li et al. (2019 <doi:10.1177/0962280219856238>). The unpenalized nonparametric maximum likelihood estimation for interval censored and possibly left truncated data is also available.
Depends: R (>= 3.5.0)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: Rcpp, parallel
LinkingTo: Rcpp
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-10-14 19:34:35 UTC; dpak
Repository: CRAN
Date/Publication: 2019-10-16 12:20:05 UTC

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New package WaveSampling with initial version 0.1.0
Package: WaveSampling
Type: Package
Title: Weakly Associated Vectors (WAVE) Sampling
Version: 0.1.0
Authors@R: c( person("Raphaël", "Jauslin", email = "raphael.jauslin@unine.ch",role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1088-3356") ), person("Yves", "Tillé",role = c("aut"), comment = c(ORCID = "0000-0003-0904-5523")) )
Description: Spatial data are generally auto-correlated, meaning that if two units selected are close to each other, then it is likely that they share the same properties. For this reason, when sampling in the population it is often needed that the sample is well spread over space. A new method to draw a sample from a population with spatial coordinates is proposed. This method is called wave (Weakly Associated Vectors) sampling. It uses the less correlated vector to a spatial weights matrix to update the inclusion probabilities vector into a sample.
URL: https://github.com/RJauslin/wave
BugReports: https://github.com/RJauslin/wave/issues
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
LinkingTo: RcppArmadillo, Rcpp
Imports: Rcpp
Depends: Matrix, R (>= 2.10)
Suggests: knitr, rmarkdown, ggplot2, ggvoronoi, sampling, BalancedSampling, sp, sf, stats
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-10-15 07:42:43 UTC; jauslinr
Author: Raphaël Jauslin [aut, cre] (<https://orcid.org/0000-0003-1088-3356>), Yves Tillé [aut] (<https://orcid.org/0000-0003-0904-5523>)
Maintainer: Raphaël Jauslin <raphael.jauslin@unine.ch>
Repository: CRAN
Date/Publication: 2019-10-16 12:00:11 UTC

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New package trekcolors with initial version 0.1.1
Package: trekcolors
Title: Star Trek Color Palettes
Version: 0.1.1
Authors@R: person("Matthew", "Leonawicz", email = "matt_leonawicz@esource.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9452-2771"))
Description: Provides a dataset of predefined color palettes based on the Star Trek science fiction series, associated color palette functions, and additional functions for generating customized palettes that are on theme. The package also offers functions for applying the palettes to plots made using the 'ggplot2' package.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/leonawicz/trekcolors
BugReports: https://github.com/leonawicz/trekcolors/issues
Depends: R (>= 2.10)
Imports: ggplot2
Suggests: testthat, knitr, rmarkdown, covr
RoxygenNote: 6.1.1
Language: en-US
NeedsCompilation: no
Packaged: 2019-10-15 02:52:51 UTC; Matt
Author: Matthew Leonawicz [aut, cre] (<https://orcid.org/0000-0001-9452-2771>)
Maintainer: Matthew Leonawicz <matt_leonawicz@esource.com>
Repository: CRAN
Date/Publication: 2019-10-16 11:50:03 UTC

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New package test2norm with initial version 0.1.1
Package: test2norm
Type: Package
Title: Normative Standards for Cognitive Tests
Version: 0.1.1
Author: Anya Umlauf
Maintainer: Anya Umlauf <aumlauf@ucsd.edu>
Description: Function test2norm() generates formulas for normative standards applied to cognitive tests. It takes raw test scores (e.g., number of correct responses) and converts them to scaled scores and demographically adjusted scores, using methods described in Heaton et al. (2003) <doi:10.1016/B978-012703570-3/50010-9> & Heaton et al. (2009, ISBN:9780199702800). The scaled scores are calculated as quantiles of the raw test scores, scaled to have the mean of 10 and standard deviation of 3, such that higher values always correspond to better performance on the test. The demographically adjusted scores are calculated from the residuals of a model that regresses scaled scores on demographic predictors (e.g., age). The norming procedure makes use of the mfp() function from the 'mfp' package to explore nonlinear associations between cognition and demographic variables.
License: CPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: mfp
Depends: R (>= 2.10)
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-10-15 21:03:19 UTC; umlauf
Repository: CRAN
Date/Publication: 2019-10-16 12:00:02 UTC

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New package MTGS with initial version 0.1.0
Package: MTGS
Type: Package
Title: Genomic Selection using Multiple Traits
Version: 0.1.0
Author: Neeraj Budhlakoti, D C Mishra, Anil Rai
Maintainer: Neeraj Budhlakoti <neeraj35669@gmail.com>
Description: Genomic selection (GS) is recent development in animal and plant breeding. In GS whole genome markers information is used to predict genetic merit of an individual. This package is basically developed for genomic predictions by estimating marker effects. These marker effects are then further used for calculation of genotypic merit of individual i.e. genome estimated breeding values (GEBVs). However, as genetic correlations between quantitative traits under breeding studies are obvious. These correlations indicate that one trait carry information over other traits. Current, single-trait genomic selection (STGS) methods could not able to utilize this information. Genomic selection based on multiple traits (MTGS) could be a better alternative to STGS. This package performs genomic selection using multi traits information hence named as MTGS i.e. multi trait genomic selection. MTGS is a comprehensive package which gives single step solution for genomic selection using various MTGS based methods.
License: GPL-3
Depends: R (>= 3.6)
Imports: glmnet, kernlab, MRCE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-10-15 01:18:16 UTC; Neeraj
Repository: CRAN
Date/Publication: 2019-10-16 11:50:09 UTC

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New package miniparquet with initial version 0.1.1
Package: miniparquet
Title: Read Parquet Files
Version: 0.1.1
Authors@R: c( person("Hannes", "M\u00fchleisen", role = c("aut", "cre"), email = "hannes@cwi.nl", comment = c(ORCID = "0000-0001-8552-0029")), person("Google Inc.", role = "cph"), person("Apache Software Foundation", role = "cph"), person("Daniel", "Lemire", role = "cph"), person("Chad", "Walters", role = "cph"))
Description: Self-sufficient reader for a subset of Parquet files. Nested tables, compression besides Snappy and encryption are not supported.
Depends: R (>= 3.5.0)
Imports: methods
License: MIT + file LICENSE
Encoding: UTF-8
Collate: 'miniparquet.R'
SystemRequirements: C++11
Suggests: testthat
NeedsCompilation: yes
Packaged: 2019-10-15 08:52:48 UTC; hannes
Author: Hannes Mühleisen [aut, cre] (<https://orcid.org/0000-0001-8552-0029>), Google Inc. [cph], Apache Software Foundation [cph], Daniel Lemire [cph], Chad Walters [cph]
Maintainer: Hannes Mühleisen <hannes@cwi.nl>
Repository: CRAN
Date/Publication: 2019-10-16 12:00:04 UTC

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Package hutilscpp updated to version 0.3.0 with previous version 0.2.0 dated 2019-08-20

Title: Miscellaneous Functions in C++
Description: Provides utility functions that are simply, frequently used, but may require higher performance that what can be obtained from base R. Incidentally provides support for 'reverse geocoding', such as matching a point with its nearest neighbour in another array. Used as a complement to package 'hutils' by sacrificing compilation or installation time for higher running speeds. The name is a portmanteau of the author and 'Rcpp'.
Author: Hugh Parsonage [aut, cre]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

Diff between hutilscpp versions 0.2.0 dated 2019-08-20 and 0.3.0 dated 2019-10-16

 DESCRIPTION                              |    6 
 MD5                                      |   51 +-
 NAMESPACE                                |    1 
 NEWS.md                                  |   65 ++
 R/RcppExports.R                          |   20 
 R/are_even.R                             |  108 ++--
 R/as_integer_if_safe.R                   |   58 +-
 R/pmax_pure_C.R                          |   14 
 R/range_rcpp.R                           |  165 +++---
 R/utils.R                                |   10 
 R/which_first.R                          |  758 +++++++++++++++++--------------
 R/xor2.R                                 |only
 man/as_integer_if_safe.Rd                |   23 
 man/range_rcpp.Rd                        |    6 
 man/xor2.Rd                              |only
 src/RcppExports.cpp                      |   67 ++
 src/cpphutils.h                          |    2 
 src/do_even.cpp                          |   17 
 src/do_range.cpp                         |   88 +++
 src/do_sum_dbl_par.cpp                   |only
 src/do_which_first.cpp                   |  150 ++++++
 src/do_xor2.cpp                          |only
 src/is_safe2int.cpp                      |   41 +
 src/logical3.cpp                         |    1 
 tests/testthat/test-are_even.R           |   81 ++-
 tests/testthat/test-as_integer_if_safe.R |   18 
 tests/testthat/test-range-cpp.R          |  164 +++---
 tests/testthat/test-which_first.R        |  743 +++++++++++++++++-------------
 tests/testthat/test-xor2.R               |only
 29 files changed, 1703 insertions(+), 954 deletions(-)

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New package geometr with initial version 0.1.1
Package: geometr
Title: Generate and Modify Interoperable Geometric Shapes
Version: 0.1.1
Authors@R: c( person("Steffen", "Ehrmann", role = c("aut", "cre"), email = "steffen@funroll-loops.de", comment = c(ORCID = "0000-0002-2958-0796")), person("Dan", "Sunday", role = c("cph"), comment = "fast point-in-polygon algorithm.") )
Description: Provides tools that generate and process fully accessible and tidy geometric shapes. The package improves interoperability of spatial and other geometric classes by providing getters and setters that produce identical output from various classes.
URL: https://github.com/EhrmannS/geometr
BugReports: https://github.com/EhrmannS/geometr/issues
Depends: R (>= 2.10)
Language: en-gb
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: checkmate, sf, sp, spatstat, raster, crayon, deldir, dplyr, grDevices, grid, methods, rgdal, rlang, tibble
Suggests: testthat, rmarkdown, magrittr, covr, knitr, readr
LinkingTo: Rcpp
RoxygenNote: 6.1.1
SystemRequirements: C++11
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-10-15 11:48:38 UTC; se87kuhe
Author: Steffen Ehrmann [aut, cre] (<https://orcid.org/0000-0002-2958-0796>), Dan Sunday [cph] (fast point-in-polygon algorithm.)
Maintainer: Steffen Ehrmann <steffen@funroll-loops.de>
Repository: CRAN
Date/Publication: 2019-10-16 12:00:07 UTC

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Package comorbidity updated to version 0.5.1 with previous version 0.5.0 dated 2019-08-20

Title: Computing Comorbidity Scores
Description: Computing comorbidity scores such as the weighted Charlson score (Charlson, 1987 <doi:10.1016/0021-9681(87)90171-8>) and the Elixhauser comorbidity score (Elixhauser, 1998 <doi:10.1097/00005650-199801000-00004>) using ICD-9-CM or ICD-10 codes (Quan, 2005 <doi:10.1097/01.mlr.0000182534.19832.83>).
Author: Alessandro Gasparini [aut, cre] (<https://orcid.org/0000-0002-8319-7624>), Hojjat Salmasian [ctb] (ICD-9-CM scores), Jonathan Williman [ctb] (<https://orcid.org/0000-0001-5080-4435>)
Maintainer: Alessandro Gasparini <alessandro.gasparini@ki.se>

Diff between comorbidity versions 0.5.0 dated 2019-08-20 and 0.5.1 dated 2019-10-16

 DESCRIPTION                     |   12 +-
 MD5                             |   18 ++-
 NEWS.md                         |    6 +
 R/comorbidity-package.R         |    5 -
 R/comorbidity.R                 |   18 +--
 README.md                       |    6 -
 build/partial.rdb               |binary
 inst/doc/comorbidityscores.html |  182 ++++++++++++++++++++--------------------
 man/comorbidity-package.Rd      |    2 
 tests/testthat/test-#20.R       |only
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 11 files changed, 130 insertions(+), 119 deletions(-)

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New package CensMFM with initial version 1.4
Package: CensMFM
Type: Package
Title: Finite Mixture of Multivariate Censored/Missing Data
Version: 1.4
Date: 2019-10-14
Authors@R: c( person("Francisco H. C.", "de Alencar", email = "hildemardealencar@gmail.com", role = c("aut", "cre")), person("Christian E.", "Galarza", email = "cgalarza88@gmail.com", role = "aut"), person("Larissa A.", "Matos", email = "larissa.amatos@gmail.com", role = "ctb"), person("Victor H.", "Lachos", email = "hlachos@gmail.com", role = "ctb"))
Imports: MomTrunc, mnormt, mvtnorm, gridExtra, ggplot2
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
LazyData: true
NeedsCompilation: no
Packaged: 2019-10-14 18:17:24 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: 2019-10-16 11:50:12 UTC

More information about CensMFM at CRAN
Permanent link

New package agrostab with initial version 0.1.0
Package: agrostab
Type: Package
Title: Stability Analysis for Agricultural Research
Version: 0.1.0
Date: 2019-10-01
Author: Anna Cheshkova [aut, cre]
Maintainer: Anna Cheshkova <cheshanf@gmail.com>
Description: Statistical procedures to perform stability analysis in plant breeding and to identify stable genotypes under diverse environments. It is possible to calculate coefficient of homeostaticity by Khangildin et al. (1979), variance of specific adaptive ability by Kilchevsky&Khotyleva (1989), weighted homeostaticity index by Martynov (1990), steadiness of stability index by Udachin (1990), superiority measure by Lin&Binn (1988) <doi:10.4141/cjps88-018>, regression on environmental index by Erberhart&Rassel (1966) <doi:10.2135/cropsci1966.0011183X000600010011x>, Tai's (1971) stability parameters <doi:10.2135/cropsci1971.0011183X001100020006x>, stability variance by Shukla (1972) <doi:10.1038/hdy.1972.87>, ecovalence by Wricke (1962), nonparametric stability parameters by Nassar&Huehn (1987) <doi:10.2307/2531947>, Francis&Kannenberg's parameters of stability (1978) <doi:10.4141/cjps78-157>.
Depends: R (>= 3.1)
Imports: ggplot2, dplyr, graphics, stats, rlang
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-10-15 01:17:51 UTC; anna
Repository: CRAN
Date/Publication: 2019-10-16 11:50:06 UTC

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Package npordtests updated to version 1.2 with previous version 1.1 dated 2018-11-26

Title: Nonparametric Tests for Equality of Location Against Ordered Alternatives
Description: Performs nonparametric tests for equality of location against ordered alternatives.
Author: Bulent Altunkaynak [aut, cre], Hamza Gamgam [aut]
Maintainer: Bulent Altunkaynak <bulenta@gazi.edu.tr>

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Package MTA updated to version 0.2.0 with previous version 0.1.2 dated 2018-05-14

Title: Multiscalar Territorial Analysis
Description: Build multiscalar territorial analysis based on various contexts.
Author: Ronan Ysebaert [aut], Nicolas Lambert [aut], Timothée Giraud [aut, cre]
Maintainer: Timothée Giraud <timothee.giraud@cnrs.fr>

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Package Rclean (with last version 1.0.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2018-03-23 1.0.0

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Package sbart (with last version 0.1.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2018-05-01 0.1.1
2017-03-23 0.1.0

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Package rsggm (with last version 0.3.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2019-10-01 0.3.1
2015-08-21 0.3

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Package OsteoBioR (with last version 0.1.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2018-11-15 0.1.1

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Package RSocrata (with last version 1.7.9-5) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2019-06-25 1.7.9-5
2019-05-15 1.7.8-4
2019-04-27 1.7.7-1
2019-04-22 1.7.6-3
2019-01-25 1.7.5-3
2017-12-21 1.7.4-7

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Package CompGLM (with last version 2.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2018-04-29 2.0
2014-07-04 1.0

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Package WeightIt updated to version 0.7.0 with previous version 0.6.0 dated 2019-09-05

Title: Weighting for Covariate Balance in Observational Studies
Description: Generates weights to form equivalent groups in observational studies with point or longitudinal treatments by easing and extending the functionality of the R packages 'twang' for generalized boosted modeling (McCaffrey, Ridgeway & Morral, 2004) <doi:10.1037/1082-989X.9.4.403>, 'CBPS' for covariate balancing propensity score weighting (Imai & Ratkovic, 2014) <doi:10.1111/rssb.12027>, 'ebal' for entropy balancing (Hainmueller, 2012) <doi:10.1093/pan/mpr025>, 'optweight' for optimization-based weights (Zubizarreta, 2015) <doi:10.1080/01621459.2015.1023805>, 'ATE' for empirical balancing calibration weighting (Chan, Yam, & Zhang, 2016) <doi:10.1111/rssb.12129>, and 'SuperLearner' for stacked machine learning-based propensity scores (Pirracchio, Petersen, & van der Laan, 2015) <doi:10.1093/aje/kwu253>. Also allows for assessment of weights and checking of covariate balance by interfacing directly with 'cobalt'.
Author: Noah Greifer [aut, cre] (<https://orcid.org/0000-0003-3067-7154>)
Maintainer: Noah Greifer <noah.greifer@gmail.com>

Diff between WeightIt versions 0.6.0 dated 2019-09-05 and 0.7.0 dated 2019-10-16

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Package StepReg updated to version 1.3.0 with previous version 1.2.1 dated 2019-09-20

Title: Stepwise Regression Analysis
Description: Stepwise regression analysis for variable selection can be used to get the best candidate final regression model in univariate or multivariate regression analysis with the 'forward', 'backward' and 'bidirection' steps. Besides, best subset selection is included in this package. Procedure can use Akaike information criterion, corrected Akaike information criterion, Bayesian information criterion, Hannan and Quinn information criterion, corrected Hannan and Quinn information criterion, Schwarz criterion and significance levels as selection criteria. Multicollinearity detection in regression model are performed by checking tolerance value. Continuous variables nested within class effect and weighted stepwise regression are also considered.
Author: Junhui Li,Xiaohuan Lu,Kun Cheng,Wenxin Liu
Maintainer: Junhui Li <junhuili@cau.edu.cn>

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Package loon updated to version 1.2.3 with previous version 1.2.2 dated 2019-03-23

Title: Interactive Statistical Data Visualization
Description: An extendable toolkit for interactive data visualization and exploration.
Author: Adrian Waddell [aut], R. Wayne Oldford [aut, cre, ths], Zehao Xu [ctb], Martin Gauch [ctb]
Maintainer: R. Wayne Oldford <rwoldford@uwaterloo.ca>

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Package BiocManager updated to version 1.30.8 with previous version 1.30.7 dated 2019-10-07

Title: Access the Bioconductor Project Package Repository
Description: A convenient tool to install and update Bioconductor packages.
Author: Martin Morgan [aut] (<https://orcid.org/0000-0002-5874-8148>), Marcel Ramos [ctb, cre] (<https://orcid.org/0000-0002-3242-0582>)
Maintainer: Marcel Ramos <marcel.ramos@roswellpark.org>

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