Mon, 25 Oct 2021

Package updog updated to version 2.1.1 with previous version 2.0.2 dated 2020-07-21

Title: Flexible Genotyping for Polyploids
Description: Implements empirical Bayes approaches to genotype polyploids from next generation sequencing data while accounting for allele bias, overdispersion, and sequencing error. The main functions are flexdog() and multidog(), which allow the specification of many different genotype distributions. Also provided are functions to simulate genotypes, rgeno(), and read-counts, rflexdog(), as well as functions to calculate oracle genotyping error rates, oracle_mis(), and correlation with the true genotypes, oracle_cor(). These latter two functions are useful for read depth calculations. Run browseVignettes(package = "updog") in R for example usage. See Gerard et al. (2018) <doi:10.1534/genetics.118.301468> and Gerard and Ferrao (2020) <doi:10.1093/bioinformatics/btz852> for details on the implemented methods.
Author: David Gerard [aut, cre] (<https://orcid.org/0000-0001-9450-5023>)
Maintainer: David Gerard <gerard.1787@gmail.com>

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Package KODAMA updated to version 1.8 with previous version 1.7 dated 2021-09-27

Title: Knowledge Discovery by Accuracy Maximization
Description: An unsupervised and semi-supervised learning algorithm that performs feature extraction from noisy and high-dimensional data. It facilitates identification of patterns representing underlying groups on all samples in a data set. Based on 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>.
Author: Stefano Cacciatore [aut, trl, cre] (<https://orcid.org/0000-0001-7052-7156>), Leonardo Tenori [aut] (<https://orcid.org/0000-0001-6438-059X>)
Maintainer: Stefano Cacciatore <tkcaccia@gmail.com>

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Package drpop updated to version 0.0.2 with previous version 0.0.1 dated 2021-10-11

Title: Efficient Doubly Robust Population Size Estimation
Description: Estimation of the total population size from capture-recapture data efficiently and with low bias implementing the methods from Das M, Kennedy EH, and Jewell NP (2021) <arXiv:2104.14091>. The estimator is doubly robust against errors in the estimation of the intermediate nuisance parameters. Users can choose from the flexible estimation models provided in the package, or use any other preferred model.
Author: Manjari Das [aut, cre] (<https://orcid.org/0000-0002-6781-6368>), Edward H. Kennedy [aut] (<https://orcid.org/0000-0002-1510-8175>)
Maintainer: Manjari Das <manjari8d@gmail.com>

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Package bravo updated to version 2.1.1 with previous version 2.0.1 dated 2021-09-22

Title: Bayesian Screening and Variable Selection
Description: Performs Bayesian variable screening and selection for ultra-high dimensional linear regression models.
Author: Dongjin Li [aut, cre], Somak Dutta [aut], Vivekananda Roy [ctb]
Maintainer: Dongjin Li <liyangxiaobei@gmail.com>

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Package psychonetrics updated to version 0.10 with previous version 0.9 dated 2021-02-23

Title: Structural Equation Modeling and Confirmatory Network Analysis
Description: Multi-group (dynamical) structural equation models in combination with confirmatory network models from cross-sectional, time-series and panel data <doi:10.31234/osf.io/8ha93>. Allows for confirmatory testing and fit as well as exploratory model search.
Author: Sacha Epskamp
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

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Package generics updated to version 0.1.1 with previous version 0.1.0 dated 2020-10-31

Title: Common S3 Generics not Provided by Base R Methods Related to Model Fitting
Description: In order to reduce potential package dependencies and conflicts, generics provides a number of commonly used S3 generics.
Author: Hadley Wickham [aut, cre], Max Kuhn [aut], Davis Vaughan [aut], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package ggfortify updated to version 0.4.13 with previous version 0.4.12 dated 2021-07-07

Title: Data Visualization Tools for Statistical Analysis Results
Description: Unified plotting tools for statistics commonly used, such as GLM, time series, PCA families, clustering and survival analysis. The package offers a single plotting interface for these analysis results and plots in a unified style using 'ggplot2'.
Author: Masaaki Horikoshi [aut], Yuan Tang [aut, cre] (<https://orcid.org/0000-0001-5243-233X>), Austin Dickey [ctb], Matthias Grenié [ctb], Ryan Thompson [ctb], Luciano Selzer [ctb], Dario Strbenac [ctb], Kirill Voronin [ctb], Damir Pulatov [ctb]
Maintainer: Yuan Tang <terrytangyuan@gmail.com>

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Package Rmpi updated to version 0.6-9.2 with previous version 0.6-9.1 dated 2021-02-23

Title: Interface (Wrapper) to MPI (Message-Passing Interface)
Description: An interface (wrapper) to MPI. It also provides interactive R manager and worker environment.
Author: Hao Yu [aut]
Maintainer: Hao Yu <hyu@stats.uwo.ca>

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Package cchsflow updated to version 2.0.0 with previous version 1.8.2 dated 2021-06-23

Title: Transforming and Harmonizing CCHS Variables
Description: Supporting the use of the Canadian Community Health Survey (CCHS) by transforming variables from each cycle into harmonized, consistent versions that span survey cycles (currently, 2001 to 2018). CCHS data used in this library is accessed and adapted in accordance to the Statistics Canada Open Licence Agreement. This package uses rec_with_table(), which was developed from 'sjmisc' rec(). Lüdecke D (2018). "sjmisc: Data and Variable Transformation Functions". Journal of Open Source Software, 3(26), 754. <doi:10.21105/joss.00754>.
Author: Doug Manuel [aut, cph] (<https://orcid.org/0000-0003-0912-0845>), Warsame Yusuf [aut, cre], Rostyslav Vyuha [aut], Kitty Chen [aut], Carol Bennett [aut], Yulric Sequeira [ctb], The Ottawa Hospital [cph]
Maintainer: Warsame Yusuf <waryusuf@ohri.ca>

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Package nombre updated to version 0.4.0 with previous version 0.3.0 dated 2020-09-12

Title: Number Names
Description: Converts numeric vectors to character vectors of English number names. Provides conversion to cardinals, ordinals, numerators, and denominators. Supports negative and non-integer numbers.
Author: Alexander Rossell Hayes [aut, cre] (<https://orcid.org/0000-0001-9412-0457>), Eli Pousson [ctb]
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>

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Package logitr updated to version 0.4.0 with previous version 0.3.0 dated 2021-08-13

Title: Logit Models w/Preference & WTP Space Utility Parameterizations
Description: Fast estimation of multinomial (MNL) and mixed logit (MXL) models in R. Models can be estimated using "Preference" space or "Willingness-to-pay" (WTP) space utility parameterizations. Weighted models can also be estimated. An option is available to run a multistart optimization loop with random starting points in each iteration, which is useful for non-convex problems like MXL models or models with WTP space utility parameterizations. The main optimization loop uses the 'nloptr' package to minimize the negative log-likelihood function. Additional functions are available for computing and comparing WTP from both preference space and WTP space models and for predicting expected choices and choice probabilities for sets of alternatives based on an estimated model. MXL models assume uncorrelated heterogeneity covariances and are estimated using maximum simulated likelihood based on the algorithms in Train (2009) "Discrete Choice Methods with Simulation, 2nd Edition" <doi:10.1017/CBO9780511805271>.
Author: John Helveston [aut, cre, cph] (<https://orcid.org/0000-0002-2657-9191>), Connor Forsythe [ctb]
Maintainer: John Helveston <john.helveston@gmail.com>

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Package subtee updated to version 1.0.0 with previous version 0.3-7.1 dated 2021-02-25

Title: Subgroup Treatment Effect Estimation in Clinical Trials
Description: Naive and adjusted treatment effect estimation for subgroups. Model averaging (Bornkamp et.al, 2016 <doi:10.1002/pst.1796>) and bagging (Rosenkranz, 2016 <doi:10.1002/bimj.201500147>) are proposed to address the problem of selection bias in treatment effect estimates for subgroups. The package can be used for all commonly encountered type of outcomes in clinical trials (continuous, binary, survival, count). Additional functions are provided to build the subgroup variables to be used and to plot the results using forest plots. For details, see Ballarini et.al. (2021) <doi:10.18637/jss.v099.i14>.
Author: Nicolas Ballarini [aut, cre], Bjoern Bornkamp [aut], Marius Thomas [aut, cre], Baldur Magnusson [ctb]
Maintainer: Nicolas Ballarini <nicoballarini@gmail.com>

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Package previsionio updated to version 11.3.1 with previous version 11.3.0 dated 2021-10-13

Title: 'Prevision.io' R SDK
Description: For working with the 'Prevision.io' AI model management platform's API <https://prevision.io/>.
Author: Florian Laroumagne [aut, cre], Prevision.io Inc [cph]
Maintainer: Florian Laroumagne <florian.laroumagne@prevision.io>

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Package PowerUpR updated to version 1.1.0 with previous version 1.0.4 dated 2019-06-01

Title: Power Analysis Tools for Multilevel Randomized Experiments
Description: Includes tools to calculate statistical power, minimum detectable effect size (MDES), MDES difference (MDESD), and minimum required sample size for various multilevel randomized experiments (MRE) with continuous outcomes. Accomodates 14 types of MRE designs to detect main treatment effect, seven types of MRE designs to detect moderated treatment effect (2-1-1, 2-1-2, 2-2-1, 2-2-2, 3-3-1, 3-3-2, and 3-3-3 designs; <total.lev> - <trt.lev> - <mod.lev>), five types of MRE designs to detect mediated treatment effects (2-1-1, 2-2-1, 3-1-1, 3-2-1, and 3-3-1 designs; <trt.lev> - <med.lev> - <out.lev>), four types of partially nested (PN) design to detect main treatment effect, and three types of PN designs to detect mediated treatment effects (2/1, 3/1, 3/2; <trt.arm.lev> / <ctrl.arm.lev>). See 'PowerUp!' Excel series at <https://www.causalevaluation.org/>.
Author: Metin Bulus [aut, cre], Nianbo Dong [aut], Benjamin Kelcey [aut], Jessaca Spybrook [aut]
Maintainer: Metin Bulus <bulusmetin@gmail.com>

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Package bootnet updated to version 1.5 with previous version 1.4.3 dated 2020-06-02

Title: Bootstrap Methods for Various Network Estimation Routines
Description: Bootstrap methods to assess accuracy and stability of estimated network structures and centrality indices <doi:10.3758/s13428-017-0862-1>. Allows for flexible specification of any undirected network estimation procedure in R, and offers default sets for various estimation routines.
Author: Sacha Epskamp [aut, cre], Eiko I. Fried [ctb]
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

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Package nimbleSCR updated to version 0.1.3 with previous version 0.1.2 dated 2021-07-01

Title: Spatial Capture-Recapture (SCR) Methods Using 'nimble'
Description: Provides utility functions, distributions, and methods for improving Markov chain Monte Carlo (MCMC) sampling efficiency for ecological Spatial Capture-Recapture (SCR) and Open Population Spatial Capture-Recapture (OPSCR) models. The methods provided implement the techniques presented in "Estimation of Large-Scale Spatial Capture-Recapture Models" (Turek, et al (2021); Eco-sphere 12(2):e03385. <doi:10.1002/ecs2.3385>).
Author: Richard Bischof [aut], Daniel Turek [aut, cre], Cyril Milleret [aut], Torbjørn Ergon [aut], Pierre Dupont [aut], Soumen Dey [aut], Wei Zhang [aut], Perry de Valpine [aut]
Maintainer: Daniel Turek <danielturek@gmail.com>

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Package twang updated to version 2.5 with previous version 2.4 dated 2021-07-26

Title: Toolkit for Weighting and Analysis of Nonequivalent Groups
Description: Provides functions for propensity score estimating and weighting, nonresponse weighting, and diagnosis of the weights.
Author: Matthew Cefalu <Matthew_Cefalu@rand.org>, Greg Ridgeway, Dan McCaffrey, Andrew Morral, Beth Ann Griffin, and Lane Burgette
Maintainer: Matthew Cefalu <Matthew_Cefalu@rand.org>

Diff between twang versions 2.4 dated 2021-07-26 and 2.5 dated 2021-10-25

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Package sparseMVN updated to version 0.2.2 with previous version 0.2.1.1 dated 2018-03-26

Title: Multivariate Normal Functions for Sparse Covariance and Precision Matrices
Description: Computes multivariate normal (MVN) densities, and samples from MVN distributions, when the covariance or precision matrix is sparse.
Author: Michael Braun [aut, cre, cph] (<https://orcid.org/0000-0003-4774-2119>)
Maintainer: Michael Braun <braunm@smu.edu>

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Package Matching updated to version 4.9-11 with previous version 4.9-10 dated 2021-10-09

Title: Multivariate and Propensity Score Matching with Balance Optimization
Description: Provides functions for multivariate and propensity score matching and for finding optimal balance based on a genetic search algorithm. A variety of univariate and multivariate metrics to determine if balance has been obtained are also provided. For details, see the paper by Jasjeet Sekhon (2007, <doi:10.18637/jss.v042.i07>).
Author: Jasjeet Singh Sekhon <jas.sekhon@yale.edu>
Maintainer: Jasjeet Singh Sekhon <jas.sekhon@yale.edu>

Diff between Matching versions 4.9-10 dated 2021-10-09 and 4.9-11 dated 2021-10-25

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Package drmdel updated to version 1.3.2 with previous version 1.3.1 dated 2015-01-21

Title: Dual Empirical Likelihood Inference under Density Ratio Models in the Presence of Multiple Samples
Description: Dual empirical likelihood (DEL) inference under semiparametric density ratio models (DRM) in the presence of multiple samples, including population cumulative distribution function estimation, quantile estimation and comparison, density estimation, composite hypothesis testing for DRM parameters which encompasses testing for changes in population distribution functions as a special case, etc.
Author: Song Cai
Maintainer: Song Cai <scai@math.carleton.ca>

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Package DArand updated to version 0.0.1.1 with previous version 0.0.1.0 dated 2021-09-27

Title: Differential Analysis with Random Reference Genes
Description: Differential Analysis of short RNA transcripts that can be modeled by either Poisson or Negative binomial distribution. The statistical methodology implemented in this package is based on the random selection of references genes (Desaulle et al. (2021) <arXiv:2103.09872>).
Author: Dorota Desaulle [aut, cre] (<https://orcid.org/0000-0002-3419-9447>), Yves Rozenholc [aut] (<https://orcid.org/0000-0002-3907-5101>)
Maintainer: Dorota Desaulle <dorota.desaulle@u-paris.fr>

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Package archive updated to version 1.1.2 with previous version 1.1.1 dated 2021-10-13

Title: Multi-Format Archive and Compression Support
Description: Bindings to 'libarchive' <http://www.libarchive.org> the Multi-format archive and compression library. Offers R connections and direct extraction for many archive formats including 'tar', 'ZIP', '7-zip', 'RAR', 'CAB' and compression formats including 'gzip', 'bzip2', 'compress', 'lzma' and 'xz'.
Author: Jim Hester [aut, cre] (<https://orcid.org/0000-0002-2739-7082>), Ondrej Holy [cph] (archive_write_add_filter implementation), RStudio [cph, fnd]
Maintainer: Jim Hester <jim.hester@rstudio.com>

Diff between archive versions 1.1.1 dated 2021-10-13 and 1.1.2 dated 2021-10-25

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Package mlVAR updated to version 0.5 with previous version 0.4.4 dated 2019-10-21

Title: Multi-Level Vector Autoregression
Description: Estimates the multi-level vector autoregression model on time-series data. Three network structures are obtained: temporal networks, contemporaneous networks and between-subjects networks.
Author: Sacha Epskamp [aut, cre], Marie K. Deserno [aut], Laura F. Bringmann [aut], Myrthe Veenman [ctb]
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

Diff between mlVAR versions 0.4.4 dated 2019-10-21 and 0.5 dated 2021-10-25

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Package ggbreak updated to version 0.0.7 with previous version 0.0.6 dated 2021-10-09

Title: Set Axis Break for 'ggplot2'
Description: An implementation of scale functions for setting axis breaks of a 'gg' plot.
Author: Guangchuang Yu [aut, cre, cph] (<https://orcid.org/0000-0002-6485-8781>), Shuangbin Xu [aut] (<https://orcid.org/0000-0003-3513-5362>)
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package fastai updated to version 2.1.0 with previous version 2.0.9 dated 2021-07-28

Title: Interface to 'fastai'
Description: The 'fastai' <https://docs.fast.ai/index.html> library simplifies training fast and accurate neural networks using modern best practices. It is based on research in to deep learning best practices undertaken at 'fast.ai', including 'out of the box' support for vision, text, tabular, audio, time series, and collaborative filtering models.
Author: Turgut Abdullayev [ctb, cre, cph, aut]
Maintainer: Turgut Abdullayev <turqut.a.314@gmail.com>

Diff between fastai versions 2.0.9 dated 2021-07-28 and 2.1.0 dated 2021-10-25

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Package aRtsy updated to version 0.1.4 with previous version 0.1.3 dated 2021-09-26

Title: Generative Art with 'ggplot2'
Description: Provides algorithms for creating artworks in the 'ggplot2' language that incorporate some form of randomness.
Author: Koen Derks [aut, cre]
Maintainer: Koen Derks <koen-derks@hotmail.com>

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Package robust updated to version 0.6-0 with previous version 0.5-0.0 dated 2020-03-07

Title: Port of the S+ "Robust Library"
Description: Methods for robust statistics, a state of the art in the early 2000s, notably for robust regression and robust multivariate analysis.
Author: Jiahui Wang, Ruben Zamar <ruben@stat.ubc.ca>, Alfio Marazzi <Alfio.Marazzi@inst.hospvd.ch>, Victor Yohai <vyohai@dm.uba.ar>, Matias Salibian-Barrera <matias@stat.ubc.ca>, Ricardo Maronna <maron@mate.unlp.edu.ar>, Eric Zivot <ezivot@u.washington.edu>, David Rocke <dmrocke@ucdavis.edu>, Doug Martin, Martin Maechler <maechler@stat.math.ethz.ch>, Kjell Konis <kjell.konis@me.com>.
Maintainer: Valentin Todorov <valentin.todorov@chello.at>

Diff between robust versions 0.5-0.0 dated 2020-03-07 and 0.6-0 dated 2021-10-25

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Package usethis updated to version 2.1.2 with previous version 2.1.0 dated 2021-10-16

Title: Automate Package and Project Setup
Description: Automate package and project setup tasks that are otherwise performed manually. This includes setting up unit testing, test coverage, continuous integration, Git, 'GitHub', licenses, 'Rcpp', 'RStudio' projects, and more.
Author: Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>), Jennifer Bryan [aut, cre] (<https://orcid.org/0000-0002-6983-2759>), Malcolm Barrett [aut] (<https://orcid.org/0000-0003-0299-5825>), RStudio [cph, fnd]
Maintainer: Jennifer Bryan <jenny@rstudio.com>

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New package uFTIR with initial version 0.1.4
Package: uFTIR
Title: Process and Analyze Agilent Cary 620 FTIR Microscope Images
Version: 0.1.4
Date: 2021-10-19
Maintainer: Fabio Corradini <fabio.corradini@inia.cl>
Description: A set of tools to read, process, and summarize Agilent Cary 620 uFTIR Microscope hyperspectral images primarily intended for microplastic analysis.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.4.0), parallel (>= 4.0.4)
Imports: Rcpp (>= 1.0.7), methods (>= 4.0.4), raster (>= 3.5.2), sp (>= 1.4.5)
Suggests: testthat (>= 3.1.0), rgeos (>= 0.5.8), signal (>= 0.7.7), rgdal (>= 1.5.27)
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2021-10-22 16:14:07 UTC; fabio
Author: Fabio Corradini [aut, cre] (<https://orcid.org/0000-0001-9696-7643>)
Repository: CRAN
Date/Publication: 2021-10-25 07:10:02 UTC

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Package tryCatchLog updated to version 1.3.1 with previous version 1.2.4 dated 2021-05-21

Title: Advanced 'tryCatch()' and 'try()' Functions
Description: Advanced tryCatch() and try() functions for better error handling (logging, stack trace with source code references and support for post-mortem analysis via dump files).
Author: Juergen Altfeld [aut, cre, cph], Charles Epaillard [ctb], Brandon Bertelsen [ctb], Valerian Wrobel [ctb]
Maintainer: Juergen Altfeld <jaltfeld@altfeld-im.de>

Diff between tryCatchLog versions 1.2.4 dated 2021-05-21 and 1.3.1 dated 2021-10-25

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New package simplermarkdown with initial version 0.0.2
Package: simplermarkdown
Title: Simple Engine for Generating Reports using R
Version: 0.0.2
Description: Runs R-code present in a pandoc markdown file and includes the resulting output in the resulting markdown file. This file can then be converted into any of the output formats supported by pandoc. The package can also be used as an engine for writing package vignettes.
BugReports: https://github.com/djvanderlaan/simplermarkdown/issues
URL: https://github.com/djvanderlaan/simplermarkdown
License: GPL (>= 3)
Encoding: UTF-8
Imports: rjson, tools
Suggests: MASS
VignetteBuilder: simplermarkdown
SystemRequirements: Pandoc (http://pandoc.org) needs to installed and available in the search path.
NeedsCompilation: no
Packaged: 2021-10-23 15:30:08 UTC; eoos
Author: Jan van der Laan [aut, cre] (<https://orcid.org/0000-0002-0693-1514>)
Maintainer: Jan van der Laan <r@eoos.dds.nl>
Repository: CRAN
Date/Publication: 2021-10-25 07:50:02 UTC

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New package shinyGovstyle with initial version 0.0.6
Package: shinyGovstyle
Title: Custom Gov Style Inputs for Shiny
Version: 0.0.6
Description: Collection of 'shiny' application styling that are the based on the GOV.UK Design System. See <https://design-system.service.gov.uk/components/> for details.
Depends: R (>= 3.1.0)
License: GPL-3
Encoding: UTF-8
URL: https://github.com/moj-analytical-services/shinyGovstyle
BugReports: https://github.com/moj-analytical-services/shinyGovstyle/issues
Imports: shiny (>= 0.14), htmltools, shinyjs, jsonlite
Suggests: testthat
NeedsCompilation: no
Packaged: 2021-10-21 17:18:13 UTC; rosswyatt
Author: Ross Wyatt [aut, cre]
Maintainer: Ross Wyatt <ross.wyatt@justice.gov.uk>
Repository: CRAN
Date/Publication: 2021-10-25 07:30:09 UTC

More information about shinyGovstyle at CRAN
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New package rnpn with initial version 1.2.3
Package: rnpn
Title: Interface to the National 'Phenology' Network 'API'
Description: Programmatic interface to the Web Service methods provided by the National 'Phenology' Network (<https://usanpn.org/>), which includes data on various life history events that occur at specific times.
Version: 1.2.3
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: httr (>= 1.1.0), jsonlite (>= 0.9.19), data.table (>= 1.9.6), sp (>= 1.1-0), tibble, curl, raster, rgdal, plyr, XML, magrittr
Suggests: ggplot2, testthat, covr, knitr, markdown, rmarkdown, RColorBrewer, vcr
VignetteBuilder: knitr
URL: https://docs.ropensci.org/rnpn/ (website) https://github.com/ropensci/rnpn/ (devel)
NeedsCompilation: no
Packaged: 2021-10-22 21:07:54 UTC; usanpn
Author: Alyssa Rosemartin [aut, cre], Scott Chamberlain [aut], Lee Marsh [aut], Kevin Wong [aut]
Maintainer: Alyssa Rosemartin <alyssa@usanpn.org>
Repository: CRAN
Date/Publication: 2021-10-25 07:10:10 UTC

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Package Rmpfr updated to version 0.8-6 with previous version 0.8-5 dated 2021-10-06

Title: R MPFR - Multiple Precision Floating-Point Reliable
Description: Arithmetic (via S4 classes and methods) for arbitrary precision floating point numbers, including transcendental ("special") functions. To this end, the package interfaces to the 'LGPL' licensed 'MPFR' (Multiple Precision Floating-Point Reliable) Library which itself is based on the 'GMP' (GNU Multiple Precision) Library.
Author: Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Richard M. Heiberger [ctb] (formatHex(), *Bin, *Dec), John C. Nash [ctb] (hjkMpfr(), origin of unirootR()), Hans W. Borchers [ctb] (optimizeR(*, "GoldenRatio"); origin of hjkMpfr())
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between Rmpfr versions 0.8-5 dated 2021-10-06 and 0.8-6 dated 2021-10-25

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Package migraph updated to version 0.8.2 with previous version 0.8.1 dated 2021-10-22

Title: Multimodal and Multilevel Network Analysis
Description: A set of tools that extend common social network analysis packages for analysing multimodal and multilevel networks. It includes functions for one- and two-mode (and sometimes three-mode) centrality, centralization, clustering, and constraint, as well as for one- and two-mode network regression and block-modelling. All functions operate with matrices, edge lists, and 'igraph', 'network'/'sna', and 'tidygraph' objects. The package is released as a complement to 'Multimodal Political Networks' (2021, ISBN:9781108985000), and includes various datasets used in the book.
Author: James Hollway [cph, cre, aut, ctb] (IHEID, <https://orcid.org/0000-0002-8361-9647>)
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

Diff between migraph versions 0.8.1 dated 2021-10-22 and 0.8.2 dated 2021-10-25

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Package kayadata updated to version 1.0.0 with previous version 0.5.1 dated 2021-03-27

Title: Kaya Identity Data for Nations and Regions
Description: Provides data for Kaya identity variables (population, gross domestic product, primary energy consumption, and energy-related CO2 emissions) for the world and for individual nations, and utility functions for looking up data, plotting trends of Kaya variables, and plotting the fuel mix for a given country or region. The Kaya identity (Yoichi Kaya and Keiichi Yokobori, "Environment, Energy, and Economy: Strategies for Sustainability" (United Nations University Press, 1998) and <https://en.wikipedia.org/wiki/Kaya_identity>) expresses a nation's or region's greenhouse gas emissions in terms of its population, per-capita Gross Domestic Product, the energy intensity of its economy, and the carbon-intensity of its energy supply.
Author: Jonathan Gilligan [cre, aut] (<https://orcid.org/0000-0003-1375-6686>)
Maintainer: Jonathan Gilligan <jonathan.gilligan@vanderbilt.edu>

Diff between kayadata versions 0.5.1 dated 2021-03-27 and 1.0.0 dated 2021-10-25

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New package gpx with initial version 1.0.0
Package: gpx
Title: Process GPX Files into R Data Structures
Version: 1.0.0
Description: Process open standard GPX files into data.frames for further use and analysis in R.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: xml2, rvest, lubridate
Suggests: testthat
NeedsCompilation: no
Packaged: 2021-10-23 11:39:19 UTC; mark
Author: Mark Ewing [aut, cre]
Maintainer: Mark Ewing <b.mark@ewingsonline.com>
Repository: CRAN
Date/Publication: 2021-10-25 07:40:02 UTC

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New package epidemia with initial version 1.0.0
Package: epidemia
Title: Modeling of Epidemics using Hierarchical Bayesian Models
Version: 1.0.0
Description: Flexibly specify and fit Bayesian statistical models for epidemics. 'epidemia' leverages Rs formula interface so that users can parameterize reproduction numbers and ascertainment rates in terms of predictors. Infections are propagated over time using self-exciting point processes. Multiple regions can be modeled simultaneously with multilevel models. The models and framework behind the package are described in Bhatt et al. (2021) <arXiv:2012.00394>. The design of the package has been inspired by, and has borrowed from, 'rstanarm' (Goodrich et al., 2020) <https://mc-stan.org/rstanarm/>. 'rstan' (Stan Development Team, 2020) <https://mc-stan.org/> is used as the back end for fitting models.
License: GPL-3
URL: https://github.com/ImperialCollegeLondon/epidemia/
Encoding: UTF-8
LazyData: true
Biarch: true
Depends: R (>= 3.5.0)
Imports: dplyr (>= 0.8.5), methods, Rcpp (>= 0.12.0), rstan (>= 2.18.1), rstantools (>= 2.0.0), magrittr, rstanarm, lme4, ggplot2, Matrix, scales, Rdpack, stats, zoo, tidyr, rlang, bayesplot, hrbrthemes
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
Suggests: testthat, knitr, gridExtra, bookdown, EpiEstim, lubridate, kableExtra, extrafont
RdMacros: Rdpack
NeedsCompilation: yes
Packaged: 2021-10-23 13:26:11 UTC; jamesscott
Author: James Scott [aut, cre] (<https://orcid.org/0000-0003-0106-5618>), Axel Gandy [aut] (<https://orcid.org/0000-0002-6777-0451>), Swapnil Mishra [aut] (<https://orcid.org/0000-0002-8759-5902>), Juliette Unwin [aut] (<https://orcid.org/0000-0002-9120-4003>), Seth Flaxman [aut] (<https://orcid.org/0000-0002-2477-4217>), Samir Bhatt [aut] (<https://orcid.org/0000-0002-0891-4611>), Jonathan Ish-Horowicz [ctb] (<https://orcid.org/0000-0002-5386-6620>), Leon Wu [ctb], Ben Goodrich [ctb], Jonah Gabry [ctb], Trustees of Columbia University [cph] (R/helpers.R), Paul-Christian Burkner [cph] (R/misc.R), Triad Sou [cph] (R/geom_stepribbon.R), Kengo Nagashima [cph] (R/geom_stepribbon.R)
Maintainer: James Scott <james.scott15@imperial.ac.uk>
Repository: CRAN
Date/Publication: 2021-10-25 07:50:05 UTC

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Package eirm updated to version 0.5 with previous version 0.4 dated 2021-07-04

Title: Explanatory Item Response Modeling for Dichotomous and Polytomous Items
Description: Analysis of dichotomous and polytomous response data using the explanatory item response modeling framework, as described in Bulut, Gorgun, & Yildirim-Erbasli (2021) <doi:10.3390/psych3030023>, Stanke & Bulut (2019) <doi:10.21449/ijate.515085>, and De Boeck & Wilson (2004) <doi:10.1007/978-1-4757-3990-9>. Generalized linear mixed modeling is used for estimating the effects of item-related and person-related variables on dichotomous and polytomous item responses.
Author: Okan Bulut [aut, cre] (<https://orcid.org/0000-0001-5853-1267>)
Maintainer: Okan Bulut <bulut@ualberta.ca>

Diff between eirm versions 0.4 dated 2021-07-04 and 0.5 dated 2021-10-25

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New package EDFtest with initial version 0.1.0
Package: EDFtest
Title: Goodness of Fit Based on Empirical Distribution Function
Version: 0.1.0
Date: 2021-10-22
Description: This repository contains software for the calculation of goodness-of-fit test statistics and their P-values. The three statistics computed are the Empirical Distribution function statistics called Cramer-von Mises, Anderson-Darling, and Watson statistics. The statistics and their P-values can be used to assess an assumed distribution.The following distributions are available: Uniform, Normal, Gamma, Logistic, Laplace, Weibull, Extreme Value, and Exponential.
License: MIT + file LICENSE
Encoding: UTF-8
BugReports: https://github.com/LiYao-sfu/EDFtest/issues
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, stringi, testthat (>= 3.0.0)
Imports: CompQuadForm (>= 1.4.3), rmutil (>= 1.1.5), stats
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-10-24 03:08:14 UTC; liyao
Author: Li Yao [aut, cre], Richard Lockhart [aut]
Maintainer: Li Yao <yaoliy@sfu.ca>
Repository: CRAN
Date/Publication: 2021-10-25 07:20:14 UTC

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New package DominoPredictionLogging with initial version 0.1.0
Package: DominoPredictionLogging
Language: en-US
Title: Domino Prediction Logging
Version: 0.1.0
Date: 2021-10-20
Description: Instrument prediction code that lets you capture inputs to the model, predictions, prediction properties, and other metadata.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: covr, DT, lintr, testthat, spelling, rhub
URL: https://www.dominodatalab.com
Imports: rjson, methods, uuid, lgr
NeedsCompilation: no
Packaged: 2021-10-23 12:54:57 UTC; vivekanandatadala
Author: Vivekananda Tadala [aut, cre], Domino Data Lab Inc. [cph]
Maintainer: Vivekananda Tadala <vivekananda.tadala@dominodatalab.com>
Repository: CRAN
Date/Publication: 2021-10-25 07:50:13 UTC

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New package DMCfun with initial version 2.0.2
Package: DMCfun
Title: Diffusion Model of Conflict (DMC) in Reaction Time Tasks
Version: 2.0.2
Date: 2021-10-12
Description: DMC model simulation detailed in Ulrich, R., Schroeter, H., Leuthold, H., & Birngruber, T. (2015). Automatic and controlled stimulus processing in conflict tasks: Superimposed diffusion processes and delta functions. Cognitive Psychology, 78, 148-174. Ulrich et al. (2015) <doi:10.1016/j.cogpsych.2015.02.005>. Decision processes within choice reaction-time (CRT) tasks are often modelled using evidence accumulation models (EAMs), a variation of which is the Diffusion Decision Model (DDM, for a review, see Ratcliff & McKoon, 2008). Ulrich et al. (2015) introduced a Diffusion Model for Conflict tasks (DMC). The DMC model combines common features from within standard diffusion models with the addition of superimposed controlled and automatic activation. The DMC model is used to explain distributional reaction time (and error rate) patterns in common behavioural conflict-like tasks (e.g., Flanker task, Simon task). This R-package implements the DMC model and provides functionality to fit the model to observed data. Further details are provided in the following paper: Mackenzie, I. G., & Dudschig, C. (2021). DMCfun: An R package for fitting Diffusion Model of Conflict (DMC) to reaction time and error rate data. Methods in Psychology, 100074. <doi:10.1016/j.metip.2021.100074>.
URL: https://github.com/igmmgi/DMCfun, https://CRAN.R-project.org/package=DMCfun, https://www.sciencedirect.com/science/article/pii/S259026012100031X
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: DEoptim, Rcpp (>= 0.12.16), dplyr (>= 1.0.0), parallel, pbapply, shiny, tidyr
Suggests: testthat
LinkingTo: Rcpp, BH
LazyData: true
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2021-10-21 10:35:44 UTC; ian
Author: Ian G. Mackenzie [cre, aut], Carolin Dudschig [aut]
Maintainer: Ian G. Mackenzie <ian.mackenzie@uni-tuebingen.de>
Repository: CRAN
Date/Publication: 2021-10-25 07:30:14 UTC

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New package collateral with initial version 0.5.2
Package: collateral
Title: Quickly Evaluate Captured Side Effects
Version: 0.5.2
Description: Map functions while capturing results, errors, warnings, messages and other output tidily, then filter and summarise data frames or lists on the basis of those side effects.
URL: https://collateral.jamesgoldie.dev, https://github.com/jimjam-slam/collateral
Language: en-AU
Depends: R (>= 3.1.0)
Imports: purrr, crayon, methods, pillar
License: MIT + file LICENSE
Encoding: UTF-8
BugReports: https://github.com/jimjam-slam/collateral/issues
Suggests: dplyr, tibble, tidyr, furrr, ggplot2, knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-10-24 05:58:40 UTC; rensa
Author: James Goldie [aut, cre] (<https://orcid.org/0000-0002-5024-6207>), Jean-Francois Zinque [ctb], Mikhail Balyasin [ctb]
Maintainer: James Goldie <me@jamesgoldie.dev>
Repository: CRAN
Date/Publication: 2021-10-25 07:50:09 UTC

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Package castor updated to version 1.7.0 with previous version 1.6.9 dated 2021-08-16

Title: Efficient Phylogenetics on Large Trees
Description: Efficient phylogenetic analyses on massive phylogenies comprising up to millions of tips. Functions include pruning, rerooting, calculation of most-recent common ancestors, calculating distances from the tree root and calculating pairwise distances. Calculation of phylogenetic signal and mean trait depth (trait conservatism), ancestral state reconstruction and hidden character prediction of discrete characters, simulating and fitting models of trait evolution, fitting and simulating diversification models, dating trees, comparing trees, and reading/writing trees in Newick format. Citation: Louca, Stilianos and Doebeli, Michael (2017) <doi:10.1093/bioinformatics/btx701>.
Author: Stilianos Louca
Maintainer: Stilianos Louca <louca@zoology.ubc.ca>

Diff between castor versions 1.6.9 dated 2021-08-16 and 1.7.0 dated 2021-10-25

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 54 files changed, 674 insertions(+), 174 deletions(-)

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Package rabhit (with last version 0.1.5) was removed from CRAN

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

2020-07-11 0.1.5

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Package spNetwork (with last version 0.2.0) was removed from CRAN

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

2021-10-09 0.2.0
2021-01-21 0.1.1
2021-01-18 0.1.0

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Package RNRCS (with last version 0.2.5) was removed from CRAN

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

2018-03-21 0.2.5
2017-07-13 0.2.0
2017-04-07 0.1.1
2017-04-06 0.1.0

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Package lightgbm (with last version 3.3.0) was removed from CRAN

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

2021-10-09 3.3.0
2021-04-13 3.2.1
2021-03-22 3.2.0
2020-12-08 3.1.1
2020-11-18 3.1.0

Permanent link
New package tidysmd with initial version 0.1.0
Package: tidysmd
Title: Tidy Standardized Mean Differences
Version: 0.1.0
Description: Tidy standardized mean differences ('SMDs'). 'tidysmd' uses the 'smd' package to calculate standardized mean differences for variables in a data frame, returning the results in a tidy format.
License: MIT + file LICENSE
URL: https://github.com/malcolmbarrett/tidysmd, https://malcolmbarrett.github.io/tidysmd/
BugReports: https://github.com/malcolmbarrett/tidysmd/issues
Depends: R (>= 2.10)
Imports: dplyr, ellipsis, glue, purrr, rlang, smd, stats, tidyr, tidyselect
Suggests: spelling, covr, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2021-10-22 13:45:22 UTC; malcolmbarrett
Author: Malcolm Barrett [aut, cre] (<https://orcid.org/0000-0003-0299-5825>)
Maintainer: Malcolm Barrett <malcolmbarrett@gmail.com>
Repository: CRAN
Date/Publication: 2021-10-25 07:00:02 UTC

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New package stepjglm with initial version 0.0.1
Package: stepjglm
Title: Variable Selection for Joint Modeling of Mean and Dispersion
Version: 0.0.1
Description: A Package for selecting variables for the joint modeling of mean and dispersion (including models for mixture experiments) based on hypothesis testing and the quality of model's fit. In each iteration of the selection process, a criterion for checking the goodness of fit is used as a filter for choosing the terms that will be evaluated by a hypothesis test. Pinto & Pereira (2021) <arXiv:2109.07978>.
Author: Leandro A. Pereira [aut, cre], Edmilson R. Pinto [aut]
Maintainer: Leandro A. Pereira <leandro.ap@ufu.br>
License: GPL-3
Depends: R (>= 3.5.0), stats
LazyData: true
Imports: rsq
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-10-22 18:16:33 UTC; lealv
Repository: CRAN
Date/Publication: 2021-10-25 06:50:02 UTC

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New package RepertoiR with initial version 0.0.1
Package: RepertoiR
Title: Repertoire Graphical Visualization
Version: 0.0.1
Description: Visualization platform for T cell receptor repertoire analysis output results. It includes comparison of sequence frequency among samples, network of similar sequences and convergent recombination source between species. Currently repertoire analysis is in early stage of development and requires new approaches for repertoire data examination and assessment as we intend to develop. No publication is available yet (will be available in the near future), Efroni (2021) <https:>.
License: MIT + file LICENSE
URL: https://github.com/systemsbiomed/RepertoiR
BugReports: https://github.com/systemsbiomed/RepertoiR/issues
Imports: circlize, grDevices, igraph, reshape2, stringdist, stringi, stringr
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-10-22 09:16:57 UTC; User
Author: Ido Hasson [aut, cre] (<https://orcid.org/0000-0001-8382-5638>), Sol Efroni [aut], Hagit Philip [aut], Alona Zilberberg [aut]
Maintainer: Ido Hasson <idoh@systemsbiomed.org>
Repository: CRAN
Date/Publication: 2021-10-25 07:00:21 UTC

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New package meteospain with initial version 0.0.2
Package: meteospain
Title: Access to Spanish Meteorological Stations Services
Version: 0.0.2
Description: Access to different Spanish meteorological stations data services and APIs (AEMET, SMC, MG, Meteoclimatic...).
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: ggforce, ggplot2, keyring, knitr, rmarkdown, testthat (>= 3.0.0)
Imports: assertthat, crayon, dplyr, glue, httr, jsonlite, lubridate, magrittr, purrr, rlang, sf, stringr, tidyr, units, xml2, vctrs
Config/testthat/parallel: true
VignetteBuilder: knitr
URL: https://emf-creaf.github.io/meteospain/, https://github.com/emf-creaf/meteospain
BugReports: https://github.com/emf-creaf/meteospain/issues
NeedsCompilation: no
Packaged: 2021-10-22 11:42:33 UTC; malditobarbudo
Author: Victor Granda [aut, cre] (<https://orcid.org/0000-0002-0469-1991>), Miquel de Caceres [ctb] (<https://orcid.org/0000-0001-7132-2080>), Aitor Ameztegui [ctb] (<https://orcid.org/0000-0003-2006-1559>)
Maintainer: Victor Granda <victorgrandagarcia@gmail.com>
Repository: CRAN
Date/Publication: 2021-10-25 07:00:05 UTC

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Package individual updated to version 0.1.7 with previous version 0.1.6 dated 2021-10-14

Title: Framework for Specifying and Simulating Individual Based Models
Description: A framework which provides users a set of useful primitive elements for specifying individual based simulation models, with special attention models for infectious disease epidemiology. Users build models by specifying variables for each characteristic of individuals in the simulated population by using data structures exposed by the package. The package provides efficient methods for finding subsets of individuals based on these variables, or cohorts. Cohorts can then be targeted for variable updates or scheduled for events. Variable updates queued during a time step are executed at the end of a discrete time step, and the code places no restrictions on how individuals are allowed to interact. These data structures are designed to provide an intuitive way for users to turn their conceptual model of a system into executable code, which is fast and memory efficient.
Author: Giovanni Charles [aut, cre] (<https://orcid.org/0000-0002-7024-1200>), Sean L. Wu [aut] (<https://orcid.org/0000-0002-5781-9493>), Peter Winskill [aut] (<https://orcid.org/0000-0003-3001-4959>), Imperial College of Science, Technology and Medicine [cph]
Maintainer: Giovanni Charles <giovanni.charles@gmail.com>

Diff between individual versions 0.1.6 dated 2021-10-14 and 0.1.7 dated 2021-10-25

 DESCRIPTION                                  |    8 
 MD5                                          |   72 +-
 NEWS.md                                      |    4 
 R/bitset.R                                   |   48 -
 R/catch-routine-registration.R               |    2 
 R/categorical_variable.R                     |   14 
 R/double_variable.R                          |    8 
 R/event.R                                    |   12 
 R/integer_variable.R                         |   10 
 R/prefab.R                                   |   88 +--
 R/render.R                                   |   22 
 R/targeted_event.R                           |   12 
 README.md                                    |   61 +-
 inst/doc/API.html                            |  728 +++++++++++++++------------
 inst/doc/Contributing.html                   |  402 ++++++++------
 inst/doc/Performance.html                    |  676 ++++++++++++++-----------
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 man/bernoulli_process.Rd                     |   10 
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 man/fixed_probability_multinomial_process.Rd |   12 
 man/infection_age_process.Rd                 |   22 
 man/multi_probability_bernoulli_process.Rd   |   10 
 man/multi_probability_multinomial_process.Rd |   10 
 man/reschedule_listener.Rd                   |    8 
 man/update_category_listener.Rd              |    6 
 src/RcppExports.cpp                          |    9 
 src/categorical_variable.cpp                 |    3 
 tests/testthat/test-categoricalvariable.R    |   21 
 tests/testthat/test-cpp.R                    |    5 
 37 files changed, 1732 insertions(+), 1332 deletions(-)

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New package FORTLS with initial version 1.0.4
Package: FORTLS
Title: Automatic Processing of TLS Point Cloud Data for Forestry Purposes
Version: 1.0.4
Date: 2021-10-22
Author: Juan Alberto Molina-Valero [aut, cph, cre], María José Ginzo Villamayor [aut, com], Manuel Antonio Novo Pérez [aut, com], Adela Martínez-Calvo [aut, com], Juan Gabriel Álvarez-González [aut, ths], Fernando Montes [aut], César Pérez-Cruzado [aut, ths]
Maintainer: Juan Alberto Molina-Valero <juanalberto.molina.valero@usc.es>
Description: Process automation of Terrestrial Laser Scanner (TLS) point cloud data derived from single scans. 'FORTLS' enables (i) detection of trees and estimation of diameter at breast height (dbh), (ii) estimation of some stand variables (e.g. density, basal area, mean and dominant height), (iii) computation of metrics related to important forest attributes estimated in Forest Inventories (FIs) at stand level and (iv) optimization of plot design for combining TLS data and field measured data. Documentation about 'FORTLS' is described in Molina-Valero et al. (2020, <doi:10.3390/IECF2020-08066>).
URL: https://github.com/Molina-Valero/FORTLS
BugReports: https://github.com/Molina-Valero/FORTLS/issues
License: GPL-3
Depends: R (>= 3.5.0)
Imports: dbscan, Distance, ggvoronoi, htmlwidgets, lidR, moments, plotly, progress, Rcpp(>= 1.0.7), raster, RCSF, scales, sp, tidyr, vroom
Suggests: testthat
LinkingTo: Rcpp, RcppEigen
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2021-10-22 14:48:00 UTC; Juan
Repository: CRAN
Date/Publication: 2021-10-25 07:00:23 UTC

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Package DSMolgenisArmadillo updated to version 1.4.0 with previous version 1.3.7 dated 2021-10-14

Title: 'DataSHIELD' Client for 'MOLGENIS Armadillo'
Description: 'DataSHIELD' is an infrastructure and series of R packages that enables the remote and 'non-disclosive' analysis of sensitive research data. This package is the 'DataSHIELD' interface implementation to analyze data shared on a 'MOLGENIS Armadillo' server. 'MOLGENIS Armadillo' is a light-weight 'DataSHIELD' server using a file store and an 'RServe' server.
Author: Sido Haakma [aut, cre] (<https://orcid.org/0000-0003-1278-9144>), Tommy de Boer [aut] (<https://orcid.org/0000-0002-4492-7225>), Fleur Kelpin [aut] (<https://orcid.org/0000-0003-1527-5130>), MOLGENIS org [cph, fnd]
Maintainer: Sido Haakma <s.haakma@rug.nl>

Diff between DSMolgenisArmadillo versions 1.3.7 dated 2021-10-14 and 1.4.0 dated 2021-10-25

 DESCRIPTION                               |   10 +--
 MD5                                       |   18 +++---
 NEWS.md                                   |    6 +-
 R/ArmadilloConnection.R                   |   13 ++++
 R/ArmadilloDriver.R                       |   13 +++-
 man/DSMolgenisArmadillo-package.Rd        |    6 --
 man/dsConnect-ArmadilloDriver-method.Rd   |    3 +
 tests/testthat/helper.R                   |    2 
 tests/testthat/test-ArmadilloConnection.R |   31 ++++++++++
 tests/testthat/test-ArmadilloDriver.R     |   88 +++++++++++++++++++++++++-----
 10 files changed, 154 insertions(+), 36 deletions(-)

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Package discretefit updated to version 0.1.0 with previous version 0.0.0 dated 2021-10-08

Title: Simulated Goodness-of-Fit Tests for Discrete Distributions
Description: Implements Monte Carlo simulations for goodness-of-fit (GOF) tests for discrete distributions. This includes tests based on the Chi-squared statistic, the log-likelihood-ratio (G^2) statistic, the Freeman-Tukey (Hellinger-distance) statistic, the Kolmogorov-Smirnov statistic, the Cramer-von Mises statistic as described in Choulakian, Lockhart and Stephens (1994) <doi:10.2307/3315828>, and the root-mean-square statistic, see Perkins, Tygert, and Ward (2011) <doi:10.1016/j.amc.2011.03.124>.
Author: Josh McCormick [aut, cre]
Maintainer: Josh McCormick <josh.mccormick@aya.yale.edu>

Diff between discretefit versions 0.0.0 dated 2021-10-08 and 0.1.0 dated 2021-10-25

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 discretefit-0.0.0/discretefit/src/ks_gof.cpp                     |only
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 discretefit-0.1.0/discretefit/NAMESPACE                          |    2 
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 discretefit-0.1.0/discretefit/R/RcppExports.R                    |   16 
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 discretefit-0.1.0/discretefit/R/utils.R                          |    4 
 discretefit-0.1.0/discretefit/README.md                          |  246 +++++-----
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 discretefit-0.1.0/discretefit/inst/doc/package_introduction.Rmd  |  113 ++--
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 discretefit-0.1.0/discretefit/src/discretefit.h                  |   30 +
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 discretefit-0.1.0/discretefit/src/statistics.cpp                 |   42 +
 discretefit-0.1.0/discretefit/tests/testthat/test-results.R      |   99 +++-
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 33 files changed, 830 insertions(+), 547 deletions(-)

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Permanent link

New package conText with initial version 1.0.0
Package: conText
Version: 1.0.0
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), ggplot2, methods
URL: https://github.com/prodriguezsosa/EmbeddingRegression
BugReports: https://github.com/prodriguezsosa/ConText/issues
Maintainer: Pedro L. Rodriguez <pedro.rodriguez@Vanderbilt.Edu>
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Language: en-US
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2021-10-22 15:45:18 UTC; pedrorodriguez
Author: Pedro L. Rodriguez [aut, cre, cph] (<https://orcid.org/0000-0003-4762-4550>), Arthur Spirling [aut] (<https://orcid.org/0000-0001-9959-1805>), Brandon Stewart [aut] (<https://orcid.org/0000-0002-7657-3089>), Christopher Barrie [ctb] (<https://orcid.org/0000-0002-9156-990X>)
Repository: CRAN
Date/Publication: 2021-10-25 07:00:16 UTC

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Package BuyseTest updated to version 2.3.5 with previous version 2.3.0 dated 2021-04-23

Title: Generalized Pairwise Comparisons
Description: Implementation of the Generalized Pairwise Comparisons (GPC) as defined in Buyse (2010) <doi:10.1002/sim.3923> for complete observations, and extended in Peron (2018) <doi:10.1177/0962280216658320> to deal with right-censoring. GPC compare two groups of observations (intervention vs. control group) regarding several prioritized endpoints to estimate the probability that a random observation drawn from one group performs better than a random observation drawn from the other group (Mann-Whitney parameter). The net benefit and win ratio statistics, i.e. the difference and ratio between the probabilities relative to the intervention and control groups, can then also be estimated. Confidence intervals and p-values are obtained based on asymptotic results (Ozenne 2021 <doi:10.1177/09622802211037067>), non-parametric bootstrap, or permutations. The software enables the use of thresholds of minimal importance difference, stratification, non-prioritized endpoints (O Brien test), and can handle right-censoring and competing-risks.
Author: Brice Ozenne [aut, cre] (<https://orcid.org/0000-0001-9694-2956>), Julien Peron [ctb], Eva Cantagallo [aut]
Maintainer: Brice Ozenne <brice.mh.ozenne@gmail.com>

Diff between BuyseTest versions 2.3.0 dated 2021-04-23 and 2.3.5 dated 2021-10-25

 DESCRIPTION                                   |   26 
 MD5                                           |  259 ++-
 NAMESPACE                                     |  143 +-
 NEWS                                          |  388 +++--
 R/0-onLoad.R                                  |   16 
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 R/BuyseMultComp.R                             |only
 R/BuyseTTEM.R                                 | 1290 +++++++++----------
 R/BuyseTest-Peron.R                           |  628 ++++-----
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 R/BuyseTest-inference.R                       |  772 ++++-------
 R/BuyseTest-initialization.R                  | 1419 ++++++++++-----------
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 R/BuyseTest-print.R                           |  324 ++--
 R/BuyseTest.R                                 | 1355 ++++++++++----------
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 R/PairScore.R                                 |  106 -
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 R/S4-BuyseTest-coef.R                         |  357 +++--
 R/S4-BuyseTest-confint.R                      | 1604 ++++++++++++------------
 R/S4-BuyseTest-get.R                          | 1387 ++++++++++----------
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 R/S4-BuyseTest-summary.R                      | 1064 ++++++++--------
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 man/testArgs.Rd                               |   87 -
 man/validFCTs.Rd                              |  310 ++--
 src/FCT_buyseTest.cpp                         |  702 +++++-----
 src/FCT_calcAllPairs.h                        |   58 
 src/FCT_calcOnePair.h                         |   33 
 src/FCT_calcStatistic.h                       |  357 +++--
 src/RcppExports.cpp                           |   18 
 tests/testthat.R                              |   83 -
 tests/testthat/test-BuysePower.R              |  396 +++--
 tests/testthat/test-BuyseTTEM.R               |  504 +++----
 tests/testthat/test-BuyseTest-CR.R            |  466 +++----
 tests/testthat/test-BuyseTest-PairScore.R     |  238 +--
 tests/testthat/test-BuyseTest-Pairs.R         | 1196 +++++++++---------
 tests/testthat/test-BuyseTest-checkValues.R   | 1085 ++++++++--------
 tests/testthat/test-BuyseTest-correctionTTE.R |  446 +++---
 tests/testthat/test-BuyseTest-engine.R        |  218 +--
 tests/testthat/test-BuyseTest-iid.R           | 1519 ++++++++++++----------
 tests/testthat/test-BuyseTest-neutralAsUnif.R |  204 +--
 tests/testthat/test-BuyseTest-operator.R      |  198 +-
 tests/testthat/test-BuyseTest-previousBug.R   | 1015 +++++++--------
 tests/testthat/test-BuyseTest-resampling.R    | 1198 +++++++++---------
 tests/testthat/test-auc.R                     |  218 ++-
 tests/testthat/test-initSurvival.R            |  438 +++---
 tests/testthat/test-initThreshold.R           |  168 +-
 tests/testthat/test-otherPackages.R           |  296 ++--
 vignettes/overview.pdf.asis                   |   10 
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 137 files changed, 20597 insertions(+), 19718 deletions(-)

More information about BuyseTest at CRAN
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Package BTSPAS updated to version 2021.11.2 with previous version 2021.11.1 dated 2021-10-11

Title: Bayesian Time-Stratified Population Analysis
Description: Provides advanced Bayesian methods to estimate abundance and run-timing from temporally-stratified Petersen mark-recapture experiments. Methods include hierarchical modelling of the capture probabilities and spline smoothing of the daily run size. Theory described in Bonner and Schwarz (2011) <doi:10.1111/j.1541-0420.2011.01599.x>.
Author: Carl J Schwarz <cschwarz.stat.sfu.ca@gmail.com> and Simon J Bonner <sbonner6@uwo.ca>
Maintainer: Carl J Schwarz <cschwarz.stat.sfu.ca@gmail.com>

Diff between BTSPAS versions 2021.11.1 dated 2021-10-11 and 2021.11.2 dated 2021-10-25

 DESCRIPTION                                         |    8 
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 R/RunTime.R                                         |    2 
 R/TimeStratPetersenDiagErrorWHChinook2_fit.R        |   17 -
 R/TimeStratPetersenDiagErrorWHChinook_fit.R         |   78 ++---
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 R/TimeStratPetersenDiagError_fit.R                  |   67 +---
 R/TimeStratPetersenNonDiagErrorNPMarkAvail_fit.R    |   77 ++--
 R/TimeStratPetersenNonDiagErrorNP_fit.R             |   75 +---
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 R/plot_logit.R                                      |   22 -
 R/zzz.R                                             |    2 
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 inst/doc/b-Diagonal-model-with-multiple-ages.html   |   38 +-
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 inst/doc/e-Bias-from-incomplete-sampling.html       |   32 +-
 inst/doc/f-Interpolating-run-earlier-and-later.html |   12 
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Package maotai updated to version 0.2.2 with previous version 0.2.1 dated 2021-09-21

Title: Tools for Matrix Algebra, Optimization and Inference
Description: Matrix is an universal and sometimes primary object/unit in applied mathematics and statistics. We provide a number of algorithms for selected problems in optimization and statistical inference. For general exposition to the topic with focus on statistical context, see the book by Banerjee and Roy (2014, ISBN:9781420095388).
Author: Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)
Maintainer: Kisung You <kisungyou@outlook.com>

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Package mma updated to version 10.5-1 with previous version 10.5-0 dated 2020-12-11

Title: Multiple Mediation Analysis
Description: Used for general multiple mediation analysis. The analysis method is described in Yu et al. (2014) <doi:10.4172/2155-6180.1000189> "General Multiple Mediation Analysis With an Application to Explore Racial Disparity in Breast Cancer Survival", published on Journal of Biometrics & Biostatistics, 5(2):189; and Yu et al.(2017) <DOI:10.1016/j.sste.2017.02.001> "Exploring racial disparity in obesity: a mediation analysis considering geo-coded environmental factors", published on Spatial and Spatio-temporal Epidemiology, 21, 13-23.
Author: Qingzhao Yu and Bin Li
Maintainer: Qingzhao Yu <qyu@lsuhsc.edu>

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Package metavcov updated to version 2.1.2 with previous version 2.1.1 dated 2021-10-07

Title: Computing Variances and Covariances, Visualization and Missing Data Solution for Multivariate Meta-Analysis
Description: Collection of functions to compute covariances for different effect sizes, data visualization, and single and multiple imputations for missing data. Effect sizes include correlation (r), mean difference (MD), standardized mean difference (SMD), log odds ratio (logOR), log risk ratio (logRR), and risk difference (RD).
Author: Min Lu <m.lu6@umiami.edu>
Maintainer: Min Lu <m.lu6@umiami.edu>

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Package lessR updated to version 4.0.6 with previous version 4.0.5 dated 2021-10-05

Title: Less Code, More Results
Description: Each function accomplishes the work of several or more standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for descriptive statistics, a comprehensive regression analysis, analysis of variance and t-test, plotting including the introduced here Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, color themes, Trellis graphics and a built-in help system. Also includes a confirmatory factor analysis of multiple indicator measurement models, pedagogical routines for data simulation such as for the Central Limit Theorem, and generation and rendering of R markdown instructions for interpretative output.
Author: David Gerbing, The School of Business, Portland State University
Maintainer: David W. Gerbing <gerbing@pdx.edu>

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Package hyper2 updated to version 2.0-1 with previous version 2.0-0 dated 2021-03-04

Title: The Hyperdirichlet Distribution, Mark 2
Description: A suite of routines for the hyperdirichlet distribution; supersedes the 'hyperdirichlet' package.
Author: Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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More information about hyper2 at CRAN
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Package fracture updated to version 0.2.0 with previous version 0.1.3 dated 2021-05-25

Title: Convert Decimals to Fractions
Description: Provides functions for converting decimals to a matrix of numerators and denominators or a character vector of fractions. Supports mixed or improper fractions, finding common denominators for vectors of fractions, limiting denominators to powers of ten, and limiting denominators to a maximum value. Also includes helper functions for finding the least common multiple and greatest common divisor for a vector of integers. Implemented using C++ for maximum speed.
Author: Alexander Rossell Hayes [aut, cre, cph] (<https://orcid.org/0000-0001-9412-0457>)
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>

Diff between fracture versions 0.1.3 dated 2021-05-25 and 0.2.0 dated 2021-10-25

 DESCRIPTION                             |   11 
 MD5                                     |   31 +-
 NAMESPACE                               |   38 +--
 NEWS.md                                 |   13 +
 R/RcppExports.R                         |   30 +-
 R/check_dots_empty0.R                   |only
 R/frac_mat.R                            |   56 +++-
 R/fracture.R                            |   13 -
 README.md                               |  378 ++++++++++++++++----------------
 man/frac_mat.Rd                         |    8 
 man/fracture-package.Rd                 |    9 
 man/fracture.Rd                         |    8 
 src/RcppExports.cpp                     |    5 
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 tests/testthat/test-check_dots_empty0.R |only
 tests/testthat/test-frac_mat.R          |    4 
 tests/testthat/test-frac_style.R        |   35 --
 tests/testthat/test-fracture.R          |   36 ++-
 18 files changed, 375 insertions(+), 300 deletions(-)

More information about fracture at CRAN
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