Thu, 04 Jun 2020

Package tsibbledata updated to version 0.2.0 with previous version 0.1.0 dated 2019-06-15

Title: Diverse Datasets for 'tsibble'
Description: Provides diverse datasets in the 'tsibble' data structure. These datasets are useful for learning and demonstrating how tidy temporal data can tidied, visualised, and forecasted.
Author: Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut], Earo Wang [aut]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

Diff between tsibbledata versions 0.1.0 dated 2019-06-15 and 0.2.0 dated 2020-06-04

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Package spatialEco updated to version 1.3-2 with previous version 1.3-1 dated 2020-04-01

Title: Spatial Analysis and Modelling Utilities
Description: Utilities to support spatial data manipulation, query, sampling and modelling. Functions include models for species population density, download utilities for climate and global deforestation spatial products, spatial smoothing, multivariate separability, point process model for creating pseudo- absences and sub-sampling, polygon and point-distance landscape metrics, auto-logistic model, sampling models, cluster optimization, statistical exploratory tools and raster-based metrics.
Author: Jeffrey S. Evans [aut, cre], Melanie A. Murphy [ctb], Karthik Ram [ctb]
Maintainer: Jeffrey S. Evans <jeffrey_evans@tnc.org>

Diff between spatialEco versions 1.3-1 dated 2020-04-01 and 1.3-2 dated 2020-06-04

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Package MachineShop updated to version 2.4.0 with previous version 2.3.0 dated 2020-05-13

Title: Machine Learning Models and Tools
Description: Meta-package for statistical and machine learning with a unified interface for model fitting, prediction, performance assessment, and presentation of results. Approaches for model fitting and prediction of numerical, categorical, or censored time-to-event outcomes include traditional regression models, regularization methods, tree-based methods, support vector machines, neural networks, ensembles, data preprocessing, filtering, and model tuning and selection. Performance metrics are provided for model assessment and can be estimated with independent test sets, split sampling, cross-validation, or bootstrap resampling. Resample estimation can be executed in parallel for faster processing and nested in cases of model tuning and selection. Modeling results can be summarized with descriptive statistics; calibration curves; variable importance; partial dependence plots; confusion matrices; and ROC, lift, and other performance curves.
Author: Brian J Smith [aut, cre]
Maintainer: Brian J Smith <brian-j-smith@uiowa.edu>

Diff between MachineShop versions 2.3.0 dated 2020-05-13 and 2.4.0 dated 2020-06-04

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Package jsr223 updated to version 0.3.4 with previous version 0.3.3 dated 2018-12-12

Title: A 'Java' Platform Integration for 'R' with Programming Languages 'Groovy', 'JavaScript', 'JRuby' ('Ruby'), 'Jython' ('Python'), and 'Kotlin'
Description: Provides a high-level integration for the 'Java' platform that makes 'Java' objects easy to use from within 'R'; provides a unified interface to integrate 'R' with several programming languages; and features extensive data exchange between 'R' and 'Java'. The 'jsr223'-supported programming languages include 'Groovy', 'JavaScript', 'JRuby' ('Ruby'), 'Jython' ('Python'), and 'Kotlin'. Any of these languages can use and extend 'Java' classes in natural syntax. Furthermore, solutions developed in any of the 'jsr223'-supported languages are also accessible to 'R' developers. The 'jsr223' package also features callbacks, script compiling, and string interpolation. In all, 'jsr223' significantly extends the computing capabilities of the 'R' software environment.
Author: Floid R. Gilbert [aut, cre], David B. Dahl [aut]
Maintainer: Floid R. Gilbert <floid.r.gilbert@gmail.com>

Diff between jsr223 versions 0.3.3 dated 2018-12-12 and 0.3.4 dated 2020-06-04

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Package visreg updated to version 2.7.0 with previous version 2.6.1 dated 2020-03-13

Title: Visualization of Regression Models
Description: Provides a convenient interface for constructing plots to visualize the fit of regression models arising from a wide variety of models in R ('lm', 'glm', 'coxph', 'rlm', 'gam', 'locfit', 'lmer', 'randomForest', etc.)
Author: Patrick Breheny, Woodrow Burchett
Maintainer: Patrick Breheny <patrick-breheny@uiowa.edu>

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Package rms updated to version 6.0-0 with previous version 5.1-4 dated 2019-11-17

Title: Regression Modeling Strategies
Description: Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. 'rms' is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. 'rms' works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression. Bayesian methods are implemented for binary and ordinal logistic regression with or without random effects.
Author: Frank E Harrell Jr <f.harrell@vanderbilt.edu>
Maintainer: Frank E Harrell Jr <f.harrell@vanderbilt.edu>

Diff between rms versions 5.1-4 dated 2019-11-17 and 6.0-0 dated 2020-06-04

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Package r2dii.match updated to version 0.0.2 with previous version 0.0.1 dated 2020-03-28

Title: Tools to Match Financial Portfolios with Climate Data
Description: These tools implement in R a fundamental part of the software 'PACTA' (Paris Agreement Capital Transition Assessment), which is a free tool that calculates the alignment between financial portfolios and climate scenarios (<https://2degrees-investing.org/>). Financial institutions use 'PACTA' to study how their capital allocation impacts the climate. This package matches data from financial portfolios to asset level data from market-intelligence databases (e.g. power plant capacities, emission factors, etc.). This is the first step to assess if a financial portfolio aligns with climate goals.
Author: Mauro Lepore [aut, cre, ctr] (<https://orcid.org/0000-0002-1986-7988>), Jackson Hoffart [aut] (<https://orcid.org/0000-0002-8600-5042>), Klaus Hagedorn [aut], Florence Palandri [aut], Evgeny Petrovsky [aut], 2 Degrees Investing Initiative [cph, fnd]
Maintainer: Mauro Lepore <maurolepore@gmail.com>

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Package jdx updated to version 0.1.4 with previous version 0.1.3 dated 2018-03-29

Title: 'Java' Data Exchange for 'R' and 'rJava'
Description: Simplifies and extends data exchange between 'R' and 'Java'.
Author: Floid R. Gilbert [aut, cre], David B. Dahl [aut]
Maintainer: Floid R. Gilbert <floid.r.gilbert@gmail.com>

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Package utile.tools updated to version 0.2.6 with previous version 0.2.5 dated 2020-04-30

Title: Summarize Data for Publication
Description: A set of tools for preparing and summarizing data for publication purposes. Includes functions for tabulating models, means to produce human-readable summary statistics from raw data, macros for calculating duration of time, and simplistic hypothesis testing tools.
Author: Eric Finnesgard [aut, cre]
Maintainer: Eric Finnesgard <efinite@outlook.com>

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Package MIIVsem updated to version 0.5.5 with previous version 0.5.4 dated 2019-05-01

Title: Model Implied Instrumental Variable (MIIV) Estimation of Structural Equation Models
Description: Functions for estimating structural equation models using instrumental variables.
Author: Zachary Fisher [aut, cre], Kenneth Bollen [aut], Kathleen Gates [aut], Mikko Rönkkö [aut]
Maintainer: Zachary Fisher <fish.zachary@gmail.com>

Diff between MIIVsem versions 0.5.4 dated 2019-05-01 and 0.5.5 dated 2020-06-04

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Package rRofex updated to version 2.0.0 with previous version 1.6.11 dated 2020-05-26

Title: Interface to 'Matba Rofex' Trading API
Description: Execute API calls to the 'Matba Rofex' <https://apihub.primary.com.ar> trading platform. Functionality includes accessing account data and current holdings, retrieving investment quotes, placing and canceling orders, and getting reference data for instruments.
Author: Augusto Hassel [aut, cre], Juan Francisco Gomez [ctb], Matba Rofex [cph]
Maintainer: Augusto Hassel <ahassel@primary.com.ar>

Diff between rRofex versions 1.6.11 dated 2020-05-26 and 2.0.0 dated 2020-06-04

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Package pmd updated to version 0.1.9 with previous version 0.1.5 dated 2019-08-22

Title: Paired Mass Distance Analysis for GC/LC-MS Based Non-Targeted Analysis
Description: Paired mass distance (PMD) analysis proposed in Yu, Olkowicz and Pawliszyn (2018) <doi:10.1016/j.aca.2018.10.062> for gas/liquid chromatography–mass spectrometry (GC/LC-MS) based non-targeted analysis. PMD analysis including GlobalStd algorithm and structure/reaction directed analysis. GlobalStd algorithm could found independent peaks in m/z-retention time profiles based on retention time hierarchical cluster analysis and frequency analysis of paired mass distances within retention time groups. Structure directed analysis could be used to find potential relationship among those independent peaks in different retention time groups based on frequency of paired mass distances. A GUI for PMD analysis is also included as a 'shiny' application.
Author: Miao YU [aut, cre] (<https://orcid.org/0000-0002-2804-6014>)
Maintainer: Miao YU <yufreecas@gmail.com>

Diff between pmd versions 0.1.5 dated 2019-08-22 and 0.1.9 dated 2020-06-04

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New package raincin with initial version 1.0.3
Package: raincin
Title: Ranking with Incomplete Information
Version: 1.0.3
Date: 2020-05-26
Authors@R: c( person("Jiangtao", "Gou", email = "gouRpackage@gmail.com", role = c("aut", "cre")), person("Fengqing", "Zhang", role = "aut"), person("Shuyi", "Wu", role = "aut"))
Description: Various statistical and mathematical ranking and rating methods with incomplete information are included. This package is initially designed for the scoring system in a high school project showcase to rank student research projects, where each judge can only evaluate a set of projects in a limited time period. See Langville, A. N. and Meyer, C. D. (2012), Who is Number 1: The Science of Rating and Ranking, Princeton University Press <doi:10.1515/9781400841677>, and Gou, J. and Wu, S. (2020), A Judging System for Project Showcase: Rating and Ranking with Incomplete Information, Technical Report.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: lme4, popdemo, stats
RoxygenNote: 7.1.0.9000
NeedsCompilation: no
Packaged: 2020-06-04 14:51:23 UTC; jgou
Author: Jiangtao Gou [aut, cre], Fengqing Zhang [aut], Shuyi Wu [aut]
Maintainer: Jiangtao Gou <gouRpackage@gmail.com>
Repository: CRAN
Date/Publication: 2020-06-04 16:10:02 UTC

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Package mason updated to version 0.3.0 with previous version 0.2.6 dated 2018-07-05

Title: Build Data Structures for Common Statistical Analysis
Description: Use a consistent syntax to create data structures of common statistical techniques that can be continued in a pipe chain. Design the analysis, add settings and variables, construct the results, and polish the final structure. Rinse and repeat for any number of statistical techniques.
Author: Luke Johnston [aut, cre] (<https://orcid.org/0000-0003-4169-2616>)
Maintainer: Luke Johnston <lwjohnst@gmail.com>

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Package jsmodule updated to version 1.0.8 with previous version 1.0.7 dated 2020-04-29

Title: 'RStudio' Addins and 'Shiny' Modules for Medical Research
Description: 'RStudio' addins and 'Shiny' modules for descriptive statistics, regression and survival analysis.
Author: Jinseob Kim [aut, cre] (<https://orcid.org/0000-0002-9403-605X>), Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

Diff between jsmodule versions 1.0.7 dated 2020-04-29 and 1.0.8 dated 2020-06-04

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Package BGPhazard updated to version 2.0.1 with previous version 2.0.0 dated 2020-01-13

Title: Markov Beta and Gamma Processes for Modeling Hazard Rates
Description: Computes the hazard rate estimate as described by Nieto-Barajas and Walker (2002), Nieto-Barajas (2003) and Nieto-Barajas, L. E., & Yin, G. (2008).
Author: L. E. Nieto-Barajas, J. A. Garcia Bueno and E.A. Morones Ishikawa
Maintainer: Emilio Akira Morones Ishikawa <emiliomorones@gmail.com>

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New package nntrf with initial version 0.1.0
Package: nntrf
Title: Supervised Data Transformation by Means of Neural Network Hidden Layers
Version: 0.1.0
Authors@R: c(person("Ricardo", "Aler", email = "ricardo.aler@uc3m.es", role = c("aut", "cre")), person("Jose", "Valls", email = "jvalls@inf.uc3m.es", role = c("aut")))
Description: A supervised transformation of datasets is performed. The aim is similar to that of Principal Component Analysis (PCA), that is, to carry out data transformation and dimensionality reduction, but in a non-linear supervised way. This is achieved by first training a 3-layer Multi-Layer Perceptron and then using the activations of the hidden layer as a transformation of the input features. In fact, it takes advantage of the change of representation provided by the hidden layer of a neural network. This can be useful as data pre-processing for Machine Learning methods in general, specially for those that do not work well with many irrelevant or redundant features. Rumelhart, D.E., Hinton, G.E. and Williams, R.J. (1986) "Learning representations by back-propagating errors" <doi:10.1038/323533a0>.
Depends: R (>= 3.2.4),
Imports: nnet, NeuralNetTools, FNN, pracma
Suggests: dplyr, knitr, rmarkdown, ggplot2, ggridges, tidyr, forcats
License: GPL (>= 2)
LazyData: true
Encoding: UTF-8
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-06-02 14:49:38 UTC; aler
Author: Ricardo Aler [aut, cre], Jose Valls [aut]
Maintainer: Ricardo Aler <ricardo.aler@uc3m.es>
Repository: CRAN
Date/Publication: 2020-06-04 15:20:02 UTC

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Package iSTATS updated to version 1.4 with previous version 1.3 dated 2020-05-29

Title: A Graphical Interface to Perform STOCSY Analyses on NMR Data
Description: Launches a 'shiny' based application for Nuclear Magnetic Resonance (NMR)data importation and Statistical TOtal Correlation SpectroscopY (STOCSY) analyses in a full interactive approach. The theoretical background and applications of STOCSY method could be found at Cloarec, O., Dumas, M. E., Craig, A., Barton, R. H., Trygg, J., Hudson, J., Blancher, C., Gauguier, D., Lindon, J. C., Holmes, E. & Nicholson, J. (2005) <doi:10.1021/ac048630x>. The packeage is also available on github <https://github.com/LaCiDIAUFG/iSTATS>.
Author: Luiz Henrique Keng Queiroz Junior[aut,cre], Vitor Mendes de Oliveira [aut]
Maintainer: Luiz Henrique Keng Queiroz Junior <keng@ufg.br>

Diff between iSTATS versions 1.3 dated 2020-05-29 and 1.4 dated 2020-06-04

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New package ImpactEffectsize with initial version 0.4.1
Package: ImpactEffectsize
Type: Package
Title: Calculation and Visualization of the Impact Effect Size Measure
Description: A non-parametric effect size measure capturing changes in central tendency or shape of data distributions. The package provides the necessary functions to calculate and plot the Impact effect size measure between two groups.
Version: 0.4.1
Author: Jorn Lotsch[aut,cre], Alfred Ultsch[aut]
Maintainer: Jorn Lotsch <j.loetsch@em.uni-frankfurt.de>
LazyData: true
Imports: DataVisualizations, Hmisc, pracma, matrixStats, parallelDist, methods, stats, graphics
Suggests: testthat
Depends: R (>= 3.5.0)
License: GPL-3
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-06-04 14:16:43 UTC; joern
Repository: CRAN
Date/Publication: 2020-06-04 15:40:08 UTC

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Package grizbayr updated to version 1.2.2 with previous version 1.2.1 dated 2020-05-11

Title: Bayesian Inference for A|B and Bandit Marketing Tests
Description: Uses simple Bayesian conjugate prior update rules to calculate the win probability of each option, value remaining in the test, and percent lift over the baseline for various marketing objectives. References: Fink, Daniel (1997) "A Compendium of Conjugate Priors" <https://www.johndcook.com/CompendiumOfConjugatePriors.pdf>. Stucchio, Chris (2015) "Bayesian A/B Testing at VWO" <http://cdn2.hubspot.net/hubfs/310840/VWO_SmartStats_technical_whitepaper.pdf>.
Author: Ryan Angi
Maintainer: Ryan Angi <rangi@redventures.com>

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Package enviGCMS updated to version 0.6.6 with previous version 0.6.0 dated 2020-02-03

Title: GC/LC-MS Data Analysis for Environmental Science
Description: Gas/Liquid Chromatography-Mass Spectrometer(GC/LC-MS) Data Analysis for Environmental Science. This package covered topics such molecular isotope ratio, matrix effects and Short-Chain Chlorinated Paraffins analysis etc. in environmental analysis.
Author: Miao YU [aut, cre] (<https://orcid.org/0000-0002-2804-6014>), Thanh Wang [ctb] (<https://orcid.org/0000-0002-5729-1908>)
Maintainer: Miao YU <yufreecas@gmail.com>

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New package CAWaR with initial version 0.0.2
Package: CAWaR
Type: Package
Title: CAWa Project Tools
Version: 0.0.2
Date: 2020-06-04
Authors@R: person("Ruben", "Remelgado", role = c("aut", "cre"), email="remelgado.ruben@gmail.com")
URL: https://github.com/RRemelgado/fieldRS/
BugReports: https://github.com/RRemelgado/fieldRS/issues/
Maintainer: Ruben Remelgado <remelgado.ruben@gmail.com>
Description: Tools to process ground-truth data on crop types and perform a phenology based crop type classification. These tools were developed in the scope of the CAWa project and extend on the work of Conrad et al. (2011) <doi:10.1080/01431161.2010.550647>. Moreover, they introduce an innovative classification and validation scheme that utilizes spatially independent samples as proposed by Remelgado et al. (2017) <doi:10.1002/rse2.70>.
LazyData: TRUE
Encoding: UTF-8
Imports: raster, sp, rgdal, ggplot2, grDevices, rgeos, lubridate, RStoolbox, fieldRS, rsMove
RoxygenNote: 7.1.0
License: GPL (>= 3)
Suggests: knitr, rmarkdown, kableExtra, imager, lattice
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-06-04 13:09:57 UTC; rr70wedu
Author: Ruben Remelgado [aut, cre]
Repository: CRAN
Date/Publication: 2020-06-04 15:40:11 UTC

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New package whitestrap with initial version 0.0.1
Package: whitestrap
Type: Package
Title: White Test and Bootstrapped White Test for Heteroskedasticity
Version: 0.0.1
Authors@R: c( person("Jorge", "Lopez Perez", ,"jorge@loperez.com", c("aut", "cre", "cph")), person("Jinook", "Jeong", ,"jinookjeong@gmail.com", c("ctb")) )
Description: Formal implementation of White test of heteroskedasticity and a bootstrapped version of it, developed under the methodology of Jeong, J., Lee, K. (1999) <https://yonsei.pure.elsevier.com/en/publications/bootstrapped-whites-test-for-heteroskedasticity-in-regression-mod>.
License: MIT + file LICENSE
BugReports: https://github.com/jlopezper/whitestrap/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.0
Imports: stats, graphics
Depends: R (>= 2.10)
Suggests: testthat, covr
NeedsCompilation: no
Packaged: 2020-06-01 23:15:42 UTC; jlopezper
Author: Jorge Lopez Perez [aut, cre, cph], Jinook Jeong [ctb]
Maintainer: Jorge Lopez Perez <jorge@loperez.com>
Repository: CRAN
Date/Publication: 2020-06-04 14:10:02 UTC

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Package tidyrules updated to version 0.1.5 with previous version 0.1.3 dated 2020-01-30

Title: Obtain Rules from Rule Based Models as Tidy Dataframe
Description: Utility to convert text based summary of rule based models to a tidy dataframe (where each row represents a rule) with related metrics such as support, confidence and lift. Rule based models from these packages are supported: 'C5.0', 'rpart' and 'Cubist'.
Author: Srikanth Komala Sheshachala [aut, cre], Amith Kumar Ullur Raghavendra [aut]
Maintainer: Srikanth Komala Sheshachala <sri.teach@gmail.com>

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 man/ruleRToSQL.Rd                |only
 man/tidyRules.C5.0.Rd            |   17 +++-
 man/tidyRules.cubist.Rd          |   11 ++-
 man/tidyRules.rpart.Rd           |    9 ++
 man/varSpec.Rd                   |    2 
 tests/testthat/test-c5.R         |   10 ++
 tests/testthat/test-cubist.R     |    2 
 tests/testthat/test-rpart.R      |    2 
 vignettes/tidyrules_vignette.Rmd |   22 ++++--
 23 files changed, 320 insertions(+), 112 deletions(-)

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New package synfd with initial version 0.1.3
Package: synfd
Type: Package
Title: Synthesize Dense or Sparse Functional Data/Snippets
Version: 0.1.3
Author: Zhenhua Lin
Maintainer: Zhenhua Lin <stalz@nus.edu.sg>
Description: Provides a flexible and simple tool to synthesize regular or irregular functional data and snippets to facilitate research or analysis of functional data.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: L1pack, Rdpack
Suggests: MASS, knitr, rmarkdown
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2020-05-31 04:50:37 UTC; ulyss
Repository: CRAN
Date/Publication: 2020-06-04 14:10:10 UTC

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Package sasLM updated to version 0.1.4 with previous version 0.1.3 dated 2020-05-02

Title: 'SAS' Linear Model
Description: This is a core implementation of 'SAS' procedures for linear models - GLM, REG, and ANOVA. Some packages provide type II and type III SS. However, the results of nested and complex designs are often different from those of 'SAS.' Different results does not necessarily mean incorrectness. However, many wants the same results to SAS. This package aims to achieve that. Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>

Diff between sasLM versions 0.1.3 dated 2020-05-02 and 0.1.4 dated 2020-06-04

 sasLM-0.1.3/sasLM/inst/doc/Validation-Report-GLM-2005022010.pdf |only
 sasLM-0.1.4/sasLM/DESCRIPTION                                   |    8 ++--
 sasLM-0.1.4/sasLM/MD5                                           |   20 +++++-----
 sasLM-0.1.4/sasLM/R/REG.R                                       |    8 +++-
 sasLM-0.1.4/sasLM/R/cSS.R                                       |    7 ++-
 sasLM-0.1.4/sasLM/R/e3.R                                        |   18 +++++----
 sasLM-0.1.4/sasLM/inst/NEWS.Rd                                  |    8 ++++
 sasLM-0.1.4/sasLM/inst/doc/Validation-Report-GLM-2006042258.pdf |only
 sasLM-0.1.4/sasLM/inst/doc/sasLM-manual.pdf                     |binary
 sasLM-0.1.4/sasLM/man/REG.Rd                                    |   10 ++++-
 sasLM-0.1.4/sasLM/man/cSS.Rd                                    |    4 +-
 sasLM-0.1.4/sasLM/man/sasLM-package.Rd                          |    2 -
 12 files changed, 54 insertions(+), 31 deletions(-)

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New package spatstat.sparse with initial version 1.1-0
Package: spatstat.sparse
Version: 1.1-0
Date: 2020-06-02
Title: Sparse Three-Dimensional Arrays and Linear Algebra Utilities
Authors@R: c(person("Adrian", "Baddeley", role = c("aut", "cre", "cph"), email = "Adrian.Baddeley@curtin.edu.au", comment = c(ORCID="0000-0001-9499-8382")), person("Rolf", "Turner", role = c("aut", "cph"), email="r.turner@auckland.ac.nz", comment=c(ORCID="0000-0001-5521-5218")), person("Ege", "Rubak", role = c("aut", "cph"), email = "rubak@math.aau.dk", comment=c(ORCID="0000-0002-6675-533X")))
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>
Depends: R (>= 3.3.0), stats, utils, methods, Matrix, abind, tensor
Imports: spatstat.utils (>= 1.17-0)
Description: Defines sparse three-dimensional arrays and supports standard operations on them. The package also includes utility functions for matrix calculations that are common in statistics, such as quadratic forms.
License: GPL (>= 2)
URL: http://www.spatstat.org
LazyData: no
NeedsCompilation: yes
ByteCompile: true
BugReports: https://github.com/spatstat/spatstat.sparse/issues
Packaged: 2020-06-02 01:14:21 UTC; adrian
Author: Adrian Baddeley [aut, cre, cph] (<https://orcid.org/0000-0001-9499-8382>), Rolf Turner [aut, cph] (<https://orcid.org/0000-0001-5521-5218>), Ege Rubak [aut, cph] (<https://orcid.org/0000-0002-6675-533X>)
Repository: CRAN
Date/Publication: 2020-06-04 14:20:02 UTC

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New package rrapply with initial version 1.0.0
Package: rrapply
Type: Package
Title: Revisiting Base Rapply
Version: 1.0.0
Date: 2020-06-01
Authors@R: person("Joris", "Chau", email = "joris.chau@openanalytics.eu", role = c("aut", "cre"))
Description: The 'rrapply'-package contains a single function rrapply(), providing an extended implementation of 'R'-base rapply() by allowing to recursively apply a function to elements of a nested list based on a general condition function and including the possibility to prune or aggregate nested list elements from the result. In addition, special arguments can be supplied to access the name and location in the nested list of the element under evaluation. The rrapply() function is implemented in 'R''s 'C' interface and requires no other package dependencies.
BugReports: https://github.com/JorisChau/rrapply/issues
URL: https://github.com/JorisChau/rrapply
Depends: R (>= 3.6)
Encoding: UTF-8
License: GPL-3
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: yes
Packaged: 2020-06-02 07:25:48 UTC; jchau
Author: Joris Chau [aut, cre]
Maintainer: Joris Chau <joris.chau@openanalytics.eu>
Repository: CRAN
Date/Publication: 2020-06-04 14:30:03 UTC

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New package rNeighborQTL with initial version 1.0.0
Package: rNeighborQTL
Title: Interval Mapping for Quantitative Trait Loci Underlying Neighbor Effects
Version: 1.0.0
Authors@R: c( person(given = "Yasuhiro", family = "Sato", role = c("aut", "cre"), email = "sato.yasuhiro.36c@kyoto-u.jp", comment = c(ORCID = "0000-0002-6466-723X")), person(given = "Kazuya", family = "Takeda", role = "aut"), person(given = "Atsushi J.", family = "Nagano", role = "aut", comment = c(ORCID = "0000-0001-7891-5049")) )
Description: To enable quantitative trait loci mapping of neighbor effects, this package extends a single-marker regression to interval mapping. The theoretical background of the method is described in Sato et al. (2020) <doi:10.1101/2020.05.20.089474>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Maintainer: Yasuhiro Sato <sato.yasuhiro.36c@kyoto-u.jp>
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 2.1.0)
VignetteBuilder: knitr
Imports: gaston, Matrix, qtl, parallel
NeedsCompilation: no
Packaged: 2020-06-03 00:31:57 UTC; yassa
Author: Yasuhiro Sato [aut, cre] (<https://orcid.org/0000-0002-6466-723X>), Kazuya Takeda [aut], Atsushi J. Nagano [aut] (<https://orcid.org/0000-0001-7891-5049>)
Repository: CRAN
Date/Publication: 2020-06-04 14:30:07 UTC

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New package rmdpartials with initial version 0.5.8
Package: rmdpartials
Title: Partial 'rmarkdown' Documents to Prettify your Reports
Description: Use 'rmarkdown' partials, also know as child documents in 'knitr', so you can make components for HTML, PDF, and Word documents. The package provides various helper functions to make certain functions easier. You may want to use this package, if you want to flexibly summarise objects using a combination of figures, tables, text, and HTML widgets. Unlike HTML widgets, the output is Markdown and can hence be turn into other output formats than HTML.
Version: 0.5.8
Authors@R: c( person("Ruben", "Arslan", email = "ruben.arslan@gmail.com", role = c("aut", "cre")), person("Gjalt-Jorn", "Peters", email = "gjalt-jorn@userfriendlyscience.com", role = c("aut", "ctb")) )
Depends: R (>= 3.0.1)
Language: en-GB
URL: https://github.com/rubenarslan/rmdpartials
BugReports: https://github.com/rubenarslan/rmdpartials/issues
License: MIT + file LICENSE
Imports: stats, digest, utils, knitr, rlang
Suggests: grDevices, graphics, testthat, roxygen2, rmarkdown, pkgdown, covr, spelling, dplyr, DT, ggplot2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-06-01 21:52:08 UTC; rubenarslan
Author: Ruben Arslan [aut, cre], Gjalt-Jorn Peters [aut, ctb]
Maintainer: Ruben Arslan <ruben.arslan@gmail.com>
Repository: CRAN
Date/Publication: 2020-06-04 14:10:13 UTC

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New package fbst with initial version 1.0
Package: fbst
Type: Package
Title: The Full Bayesian Significance Test and the e-Value
Version: 1.0
Date: 2020-05-30
Author: Riko Kelter
Maintainer: Riko Kelter <riko.kelter@uni-siegen.de>
Description: Provides access to a range of functions for computing and visualising the Full Bayesian Significance Test (FBST) and the e-value for testing a sharp hypothesis against its alternative. The methods are widely applicable as long as a posterior MCMC sample is available. For details on the computation and theory of the FBST see <arXiv:2005.13181>.
Imports: bayestestR, methods, coda, Matrix
Suggests: BayesFactor
License: GPL-3
NeedsCompilation: no
Packaged: 2020-06-04 12:48:14 UTC; riko
Repository: CRAN
Date/Publication: 2020-06-04 14:20:06 UTC

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New package EviewsR with initial version 0.1.0
Package: EviewsR
Type: Package
Title: 'Eviews' Knit-Engine
Version: 0.1.0
Author: Sagiru Mati [aut, cre]
Authors@R: c( person("Sagiru", "Mati", role = c("aut", "cre"), email = "smati@smati.com.ng"))
Maintainer: Sagiru Mati <smati@smati.com.ng>
Description: It allows running 'EViews'(<https://eviews.com>) program from R Markdown. 'EViews' (Econometric Views) is a statistical software for Econometric analysis. This package serves as an 'EViews' Knit-Engine for 'knitr' package. Write all your 'EViews' commands in R Markdown chunk.
Depends: R (>= 3.2.3)
Imports: knitr (>= 1.20)
SystemRequirements: EViews (>= 8)
License: GPL
URL: https://smati.com.ng
BugReports: https://github.com/sagirumati/EviewsR/issues
Encoding: UTF-8
VignetteBuilder: knitr
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-06-02 12:07:00 UTC; SMATI
Repository: CRAN
LazyData: true
Date/Publication: 2020-06-04 14:30:10 UTC

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New package SBMSplitMerge with initial version 1.1.1
Package: SBMSplitMerge
Title: Inference for a Generalised SBM with a Split Merge Sampler
Version: 1.1.1
Authors@R: person("Matthew", "Ludkin", email = "m.ludkin1@lancaster.ac.uk", role = c("aut", "cre", "cph"))
Description: Inference in a Bayesian framework for a generalised stochastic block model. The generalised stochastic block model (SBM) can capture group structure in network data without requiring conjugate priors on the edge-states. Two sampling methods are provided to perform inference on edge parameters and block structure: a split-merge Markov chain Monte Carlo algorithm and a Dirichlet process sampler. Green, Richardson (2001) <doi:10.1111/1467-9469.00242>; Neal (2000) <doi:10.1080/10618600.2000.10474879>; Ludkin (2019) <arXiv:1909.09421>.
Depends: R (>= 3.1.0)
License: MIT + file LICENSE
Language: en-GB
LazyData: true
RoxygenNote: 7.1.0
Imports: ggplot2, scales, reshape2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-06-01 14:00:01 UTC; ludkinm
Author: Matthew Ludkin [aut, cre, cph]
Maintainer: Matthew Ludkin <m.ludkin1@lancaster.ac.uk>
Repository: CRAN
Date/Publication: 2020-06-04 13:30:05 UTC

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New package neuromplex with initial version 0.0-8
Package: neuromplex
Version: 0.0-8
Date: 2020-05-21
Title: Neural Multiplexing Analysis
Author: Surya Tokdar <surya.tokdar@duke.edu>
Maintainer: Surya Tokdar <surya.tokdar@duke.edu>
Depends: R (>= 3.6)
Imports: BayesLogit, ggplot2, dplyr, tidyr, magrittr, gridExtra
Description: Statistical methods for whole-trial and time-domain analysis of single cell neural response to multiple stimuli presented simultaneously. The package is based on the paper by C Glynn, ST Tokdar, A Zaman, VC Caruso, JT Mohl, SM Willett, and JM Groh (2020+) "Analyzing second order stochasticity of neural spiking under stimuli-bundle exposure", tentatively accepted for publication in the Annals of Applied Statistics. A preprint may be found at <arXiv:1911.04387>.
License: GPL-2
NeedsCompilation: no
Packaged: 2020-05-31 00:07:25 UTC; stokdar
Repository: CRAN
Date/Publication: 2020-06-04 14:00:03 UTC

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New package krippendorffsalpha with initial version 1.0
Package: krippendorffsalpha
Type: Package
Title: Measuring Agreement Using Krippendorff's Alpha Coefficient
Version: 1.0
Date: 2020-06-01
Author: John Hughes
Maintainer: John Hughes <drjphughesjr@gmail.com>
Suggests: parallel, pbapply
Description: Provides tools for applying Krippendorff's Alpha methodology <DOI:10.1080/19312450709336664>. The framework supports common and user-defined distance functions, and can accommodate any number of units, any number of coders, and missingness. Bootstrap inference is permitted, and the computation can be done in parallel.
License: GPL (>= 2)
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-06-01 16:10:19 UTC; jphughesjr
Repository: CRAN
Date/Publication: 2020-06-04 13:50:03 UTC

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New package ggnuplot with initial version 0.1.0
Package: ggnuplot
Title: Make 'ggplot2' Look Like 'gnuplot'
Version: 0.1.0
Authors@R: c( person("Hannes", "Riebl", , "hriebl@uni-goettingen.de", c("aut", "cre")) )
Description: Provides a theme, a discrete color palette, and continuous scales to make 'ggplot2' look like 'gnuplot'. This may be helpful if you use both 'ggplot2' and 'gnuplot' in one project.
Imports: ggplot2
License: MIT + file LICENSE
URL: https://github.com/hriebl/ggnuplot
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-06-01 14:52:18 UTC; hannes
Author: Hannes Riebl [aut, cre]
Maintainer: Hannes Riebl <hriebl@uni-goettingen.de>
Repository: CRAN
Date/Publication: 2020-06-04 13:50:06 UTC

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Package diagis updated to version 0.1.5 with previous version 0.1.4 dated 2020-05-24

Title: Diagnostic Plot and Multivariate Summary Statistics of Weighted Samples from Importance Sampling
Description: Fast functions for effective sample size, weighted multivariate mean and variance computation, and weight diagnostic plot for generic importance sampling type results.
Author: Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>

Diff between diagis versions 0.1.4 dated 2020-05-24 and 0.1.5 dated 2020-06-04

 DESCRIPTION         |    8 ++++----
 MD5                 |   12 ++++++------
 NEWS                |    5 +++++
 R/means.R           |   12 ++++++------
 R/ses.R             |    4 ++--
 R/vars.R            |   12 ++++++------
 inst/doc/diagis.pdf |binary
 7 files changed, 29 insertions(+), 24 deletions(-)

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Package CollapseLevels updated to version 0.3.0 with previous version 0.2.0 dated 2017-12-04

Title: Collapses Levels, Computes Information Value and WoE
Description: Contains functions to help in selecting and exploring features ( or variables ) in binary classification problems. Provides functions to compute and display information value and weight of evidence (WoE) of the variables , and to convert numeric variables to categorical variables by binning. Functions are also provided to determine which levels ( or categories ) of a categorical variable can be collapsed (or combined ) based on their response rates. The functions provided only work for binary classification problems.
Author: Krishanu Mukherjee
Maintainer: Krishanu Mukherjee <toton1181@gmail.com>

Diff between CollapseLevels versions 0.2.0 dated 2017-12-04 and 0.3.0 dated 2020-06-04

 DESCRIPTION                        |   18 
 MD5                                |   42 +-
 NAMESPACE                          |   20 -
 R/IVCalc.R                         |    6 
 R/IVCalc2.R                        |    6 
 R/displayIV.R                      |    6 
 R/displayResponseRatebyLevels.R    |    7 
 R/displayWOE.R                     |    6 
 R/levelsCollapser.R                |    8 
 R/numericToCategorical.R           |    8 
 build/vignette.rds                 |binary
 inst/doc/CollapseLevels.R          |   16 
 inst/doc/CollapseLevels.Rmd        |    6 
 inst/doc/CollapseLevels.html       |  709 ++++++++++++++++++++++++-------------
 man/IVCalc.Rd                      |   86 ++--
 man/IVCalc2.Rd                     |   84 ++--
 man/displayIV.Rd                   |   66 +--
 man/displayResponseRatebyLevels.Rd |   71 +--
 man/displayWOE.Rd                  |   64 +--
 man/levelsCollapser.Rd             |   88 ++--
 man/numericToCategorical.Rd        |  119 +++---
 vignettes/CollapseLevels.Rmd       |    6 
 22 files changed, 843 insertions(+), 599 deletions(-)

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New package starnet with initial version 0.0.1
Package: starnet
Version: 0.0.1
Title: Stacked Elastic Net
Description: Implements stacked elastic net regression (Rauschenberger 2020, <doi:10.1093/bioinformatics/btaa535>). The elastic net generalises ridge and lasso regularisation (Zou 2005, <doi:10.1111/j.1467-9868.2005.00503.x>). Instead of fixing or tuning the mixing parameter alpha, we combine multiple alpha by stacked generalisation (Wolpert 1992 <doi:10.1016/S0893-6080(05)80023-1>).
Depends: R (>= 3.0.0)
Imports: glmnet, survival, cornet, joinet, Matrix
Suggests: knitr, testthat, rmarkdown
Enhances: CVXR, mvtnorm
Authors@R: person("Armin","Rauschenberger",email="armin.rauschenberger@uni.lu",role=c("aut","cre"))
VignetteBuilder: knitr
License: GPL-3
LazyData: true
Language: en-GB
RoxygenNote: 7.1.0
URL: https://github.com/rauschenberger/starnet
BugReports: https://github.com/rauschenberger/starnet/issues
NeedsCompilation: no
Packaged: 2020-06-03 16:27:21 UTC; armin.rauschenberger
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger@uni.lu>
Repository: CRAN
Date/Publication: 2020-06-04 12:20:03 UTC

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New package plpoisson with initial version 0.1.1
Package: plpoisson
Type: Package
Title: Prediction Limits for Poisson Distribution
Version: 0.1.1
Date: 2020-06-01
Authors@R: c(person("Valbona", "Bejleri", role = "aut", email = "valbona.bejleri@gmail.com", comment = c(ORCID = "0000-0001-9828-968X")), person("Luca", "Sartore", role = c("aut", "cre"), email = "drwolf85@gmail.com", comment = c(ORCID = "0000-0002-0446-1328")), person("Balgobin", "Nandram", role = "aut", email = "balnan@wpi.edu", comment = c(ORCID = "0000-0002-3204-0301")))
Author: Valbona Bejleri [aut] (<https://orcid.org/0000-0001-9828-968X>), Luca Sartore [aut, cre] (<https://orcid.org/0000-0002-0446-1328>), Balgobin Nandram [aut] (<https://orcid.org/0000-0002-3204-0301>)
Maintainer: Luca Sartore <drwolf85@gmail.com>
Description: Prediction limits for the Poisson distribution are produced from both frequentist and Bayesian viewpoints. Limiting results are provided in a Bayesian setting with uniform, Jeffreys and gamma as prior distributions. More details on the methodology are discussed in Bejleri and Nandram (2018) <doi:10.1080/03610926.2017.1373814>.
License: GPL-3
NeedsCompilation: yes
Packaged: 2020-06-01 04:37:27 UTC; sartore
Repository: CRAN
Date/Publication: 2020-06-04 12:20:06 UTC

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Package distill updated to version 0.8 with previous version 0.7 dated 2019-05-03

Title: 'R Markdown' Format for Scientific and Technical Writing
Description: Scientific and technical article format for the web. 'Distill' articles feature attractive, reader-friendly typography, flexible layout options for visualizations, and full support for footnotes and citations.
Author: JJ Allaire [aut, cre], Rich Iannone [aut], Yihui Xie [aut], RStudio, Inc. [cph], Google LLC [ctb, cph] (https://distill.pub/guide/), Nick Williams [ctb, cph] (https://wicky.nillia.ms/headroom.js/), Denis Demchenko [ctb, cph] (https://github.com/lancedikson/bowser), The Polymer Authors [ctb, cph] (https://www.webcomponents.org/polyfills/), Gábor Csárdi [ctb, cph] (whoami), JooYoung Seo [ctb] (<https://orcid.org/0000-0002-4064-6012>)
Maintainer: JJ Allaire <jj@rstudio.com>

Diff between distill versions 0.7 dated 2019-05-03 and 0.8 dated 2020-06-04

 DESCRIPTION                                                     |   17 -
 MD5                                                             |   32 +-
 NEWS.md                                                         |   13 -
 R/appendices.R                                                  |  129 ++++++++++
 R/collections.R                                                 |   42 ++-
 R/listing.R                                                     |   33 ++
 R/metadata.R                                                    |   76 +++++
 R/navigation.R                                                  |    9 
 R/rstudio.R                                                     |    2 
 R/sitemap.R                                                     |   98 ++++++-
 R/utils.R                                                       |    9 
 inst/rmarkdown/templates/distill_article/resources/distill.html |   10 
 man/create_post.Rd                                              |   10 
 man/distill_article.Rd                                          |   40 ++-
 man/distill_website.Rd                                          |    2 
 man/import_post.Rd                                              |   12 
 man/publish_website.Rd                                          |   14 -
 17 files changed, 466 insertions(+), 82 deletions(-)

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New package dformula with initial version 0.1
Package: dformula
Type: Package
Version: 0.1
Date: 2020-06-01
Title: Data Manipulation using Formula
Description: A tool for manipulating data using the generic formula. A single formula allows to easily add, replace and remove variables before running the analysis.
Authors@R: c(person("Alessio", "Serafini", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-8579-5695"), email = "srf.alessio@gmail.com"))
Depends: R (>= 3.5.0)
Imports: utils, stats, formula.tools(>= 1.7.1)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: GPL (>= 2)
Repository: CRAN
URL: https://github.com/dataallaround/dformula
BugReports: https://github.com/dataallaround/dformula/issues
NeedsCompilation: no
Encoding: UTF-8
LazyData: true
Packaged: 2020-06-01 08:02:17 UTC; alessioserafini
Author: Alessio Serafini [aut, cre] (<https://orcid.org/0000-0002-8579-5695>)
Maintainer: Alessio Serafini <srf.alessio@gmail.com>
Date/Publication: 2020-06-04 12:40:02 UTC

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New package ComparisonCR with initial version 1.0.4
Package: ComparisonCR
Type: Package
Title: Comparison of Cumulative Incidence Between Two Groups Under Competing Risks
Version: 1.0.4
Date: 2020-05-23
Authors@R: c(person("Jingjing", "Lyu", role = "aut", email="lyu.j@foxmail.com"), person("Zheng", "Chen", role = "cre", email="zheng-chen@hotmail.com"), person("Jinbao", "Chen", role = "ctb"), person("Yawen", "Hou", role = "ctb"))
Description: Statistical methods for competing risks data in comparing cumulative incidence function curves between two groups, including overall hypothesis tests and arbitrary tests in Lyu et al. (2020) <doi:10.1002/pst.2028>, and the fixed-point tests in Chen et al. (2018) <doi:10.1080/03610918.2018.1476697>.
Depends: R (>= 4.0.0), stats, graphics
Imports: boot, CIFsmry, cmprsk
License: GPL-2
Encoding: UTF-8
Author: Jingjing Lyu [aut], Zheng Chen [cre], Jinbao Chen [ctb], Yawen Hou [ctb]
Maintainer: Zheng Chen <zheng-chen@hotmail.com>
NeedsCompilation: no
Packaged: 2020-05-23 14:03:30 UTC; Administrator
Repository: CRAN
Date/Publication: 2020-06-04 12:30:02 UTC

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New package word2vec with initial version 0.1.0
Package: word2vec
Type: Package
Title: Distributed Representations of Words
Version: 0.1.0
Authors@R: c( person('Jan', 'Wijffels', role = c('aut', 'cre', 'cph'), email = 'jwijffels@bnosac.be', comment = "R wrapper"), person('BNOSAC', role = 'cph', comment = "R wrapper"), person('Max', 'Fomichev', role = c('ctb', 'cph'), comment = "Code in src/word2vec"))
Maintainer: Jan Wijffels <jwijffels@bnosac.be>
Description: Learn vector representations of words by continuous bag of words and skip-gram implementations of the 'word2vec' algorithm. The techniques are detailed in the paper "Distributed Representations of Words and Phrases and their Compositionality" by Mikolov et al. (2013), available at <arXiv:1310.4546>.
URL: https://github.com/bnosac/word2vec
License: Apache License (>= 2.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: R (>= 2.10)
Imports: Rcpp (>= 0.11.5)
LinkingTo: Rcpp, RcppProgress
Suggests: udpipe
NeedsCompilation: yes
Packaged: 2020-05-31 06:51:53 UTC; Jan
Author: Jan Wijffels [aut, cre, cph] (R wrapper), BNOSAC [cph] (R wrapper), Max Fomichev [ctb, cph] (Code in src/word2vec)
Repository: CRAN
Date/Publication: 2020-06-04 11:20:03 UTC

More information about word2vec at CRAN
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Package tsibble updated to version 0.9.0 with previous version 0.8.6 dated 2020-01-31

Title: Tidy Temporal Data Frames and Tools
Description: Provides a 'tbl_ts' class (the 'tsibble') for temporal data in an data- and model-oriented format. The 'tsibble' provides tools to easily manipulate and analyse temporal data, such as filling in time gaps and aggregating over calendar periods.
Author: Earo Wang [aut, cre] (<https://orcid.org/0000-0001-6448-5260>), Di Cook [aut, ths] (<https://orcid.org/0000-0002-3813-7155>), Rob Hyndman [aut, ths] (<https://orcid.org/0000-0002-2140-5352>), Mitchell O'Hara-Wild [aut] (<https://orcid.org/0000-0001-6729-7695>)
Maintainer: Earo Wang <earo.wang@gmail.com>

Diff between tsibble versions 0.8.6 dated 2020-01-31 and 0.9.0 dated 2020-06-04

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Package sen2r updated to version 1.3.6 with previous version 1.3.5 dated 2020-06-01

Title: Find, Download and Process Sentinel-2 Data
Description: Functions to download Sentinel-2 optical images and perform preliminary processing operations. 'sen2r' provides the instruments required to easily perform (and eventually automate) the steps necessary to build a complete Sentinel-2 processing chain. A Graphical User Interface to facilitate data processing is also provided. For additional documentation refer to the following article: Ranghetti et al. (2020) <doi:10.1016/j.cageo.2020.104473>.
Author: Luigi Ranghetti [aut, cre] (<https://orcid.org/0000-0001-6207-5188>), Lorenzo Busetto [aut] (<https://orcid.org/0000-0001-9634-6038>)
Maintainer: Luigi Ranghetti <luigi@ranghetti.info>

Diff between sen2r versions 1.3.5 dated 2020-06-01 and 1.3.6 dated 2020-06-04

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New package regions with initial version 0.1.3
Package: regions
Title: Processing Regional Statistics
Version: 0.1.3
Authors@R: c( person(given = "Daniel", family = "Antal", role = c("aut", "cre"), email = "daniel.antal@ceemid.eu", comment = c(ORCID = "0000-0001-7513-6760")), person(given = "Istvan", family = "Zsoldos", role = c("ctb"), email = "istvan.zsoldos@gmail.com", comment = c(ORCID = "0000-0001-5712-2103")) )
Description: Validating sub-national statistical typologies, re-coding across standard typologies of sub-national statistics, and making valid aggregate level imputation, re-aggregation, re-weighting and projection down to lower hierarchical levels to create meaningful data panels and time series.
License: GPL-3
Encoding: UTF-8
Language: en-GB
URL: https://regions.danielantal.eu/
BugReports: https://github.com/rOpenGov/regions
LazyData: true
RoxygenNote: 7.1.0
Depends: R (>= 2.10)
Imports: dplyr, testthat, magrittr, countrycode, tidyselect, utils, purrr, rlang, glue, stats, tidyr
Suggests: knitr, rmarkdown, covr, spelling
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-06-03 18:11:25 UTC; Daniel Antal
Author: Daniel Antal [aut, cre] (<https://orcid.org/0000-0001-7513-6760>), Istvan Zsoldos [ctb] (<https://orcid.org/0000-0001-5712-2103>)
Maintainer: Daniel Antal <daniel.antal@ceemid.eu>
Repository: CRAN
Date/Publication: 2020-06-04 11:20:06 UTC

More information about regions at CRAN
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Package ratPASTA updated to version 0.1.1 with previous version 0.1.0 dated 2020-04-28

Title: Processing Acoustic Startle Experimental Data
Description: Used for processing data obtained from behaviour experiments studying acoustic startle response, a reflex to a loud sound, modulated by several brain regions. The input data is generated with PASTA (Platform for Acoustic STArtle), a DIY device made from a kitchen scale that measures the twitch of an animal standing on the device and records it as time-series data. The function of this package is to import all data, process it in accordance with default or custom metadata describing the experiment protocol, calculate measurements and visualize the results. The PASTA solution and this package are described in Virag et al. (2020) <doi:10.1101/2020.04.10.035766>.
Author: Ivan Kodvanj [aut, cre] (<https://orcid.org/0000-0002-1359-3701>), Davor Virag [aut] (<https://orcid.org/0000-0003-3574-7107>), Jan Homolak [aut] (<https://orcid.org/0000-0003-1508-3243>)
Maintainer: Ivan Kodvanj <ikodvanj@gmail.com>

Diff between ratPASTA versions 0.1.0 dated 2020-04-28 and 0.1.1 dated 2020-06-04

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New package pepr with initial version 0.3.2
Package: pepr
Type: Package
Title: Reading Portable Encapsulated Projects
Version: 0.3.2
Date: 2020-06-03
Authors@R: c(person("Nathan", "Sheffield", email = "nathan@code.databio.org", role = c("aut", "cph")),person("Michal","Stolarczyk",email="michal@virginia.edu",role=c("aut","cre")))
Maintainer: Michal Stolarczyk <michal@virginia.edu>
Description: A PEP, or Portable Encapsulated Project, is a dataset that subscribes to the PEP structure for organizing metadata. It is written using a simple YAML + CSV format, it is your one-stop solution to metadata management across data analysis environments. This package reads this standardized project configuration structure into R.
Imports: yaml, stringr, pryr, data.table, methods
Suggests: knitr, testthat, rmarkdown
VignetteBuilder: knitr
License: BSD_2_clause + file LICENSE
BugReports: https://github.com/pepkit/pepr
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-06-03 17:03:47 UTC; mstolarczyk
Author: Nathan Sheffield [aut, cph], Michal Stolarczyk [aut, cre]
Repository: CRAN
Date/Publication: 2020-06-04 11:20:14 UTC

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New package oem with initial version 2.0.10
Package: oem
Type: Package
Title: Orthogonalizing EM: Penalized Regression for Big Tall Data
Version: 2.0.10
Authors@R: c( person("Bin", "Dai", , "bdai@uwalumni.com", role = c("aut")), person("Jared", "Huling", , "jaredhuling@gmail.com", c("aut", "cre"), comment = c(ORCID = "0000-0003-0670-4845")), person("Yixuan", "Qiu", , , c("ctb")), person("Gael", "Guennebaud", , , c("cph")), person("Jitse", "Niesen", , , c("cph")) )
Maintainer: Jared Huling <jaredhuling@gmail.com>
Description: Solves penalized least squares problems for big tall data using the orthogonalizing EM algorithm of Xiong et al. (2016) <doi:10.1080/00401706.2015.1054436>. The main fitting function is oem() and the functions cv.oem() and xval.oem() are for cross validation, the latter being an accelerated cross validation function for linear models. The big.oem() function allows for out of memory fitting.
URL: https://arxiv.org/abs/1801.09661, https://github.com/jaredhuling/oem, https://jaredhuling.github.io/oem
BugReports: https://github.com/jaredhuling/oem/issues
License: GPL (>= 2)
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 3.2.0), bigmemory
Imports: Rcpp (>= 0.11.0), Matrix, foreach, methods
LinkingTo: Rcpp, RcppEigen, BH, bigmemory, RcppArmadillo
RoxygenNote: 7.1.0
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-06-04 01:39:49 UTC; Jared
Author: Bin Dai [aut], Jared Huling [aut, cre] (<https://orcid.org/0000-0003-0670-4845>), Yixuan Qiu [ctb], Gael Guennebaud [cph], Jitse Niesen [cph]
Repository: CRAN
Date/Publication: 2020-06-04 12:00:05 UTC

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Package nnTensor updated to version 1.0.5 with previous version 1.0.4 dated 2020-04-20

Title: Non-Negative Tensor Decomposition
Description: Some functions for performing non-negative matrix factorization, non-negative CANDECOMP/PARAFAC (CP) decomposition, non-negative Tucker decomposition, and generating toy model data. See Andrzej Cichock et al (2009) <doi:10.1002/9780470747278> and the reference section of GitHub README.md <https://github.com/rikenbit/nnTensor>, for details of the methods.
Author: Koki Tsuyuzaki, Manabu Ishii, Itoshi Nikaido
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

Diff between nnTensor versions 1.0.4 dated 2020-04-20 and 1.0.5 dated 2020-06-04

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New package nametagger with initial version 0.1.0
Package: nametagger
Type: Package
Title: Named Entity Recognition in Texts using 'NameTag'
Version: 0.1.0
Authors@R: c( person('Jan', 'Wijffels', role = c('aut', 'cre', 'cph'), email = 'jwijffels@bnosac.be'), person('BNOSAC', role = 'cph'), person("Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic", role = 'cph'), person('Milan Straka', role = c('ctb', 'cph'), email = 'straka@ufal.mff.cuni.cz'), person('Jana Straková', role = c('ctb', 'cph'), email = 'strakova@ufal.mff.cuni.cz'))
Maintainer: Jan Wijffels <jwijffels@bnosac.be>
Description: Wraps the 'nametag' library <https://github.com/ufal/nametag>, allowing users to find and extract entities (names, persons, locations, addresses, ...) in raw text and build your own entity recognition models. Based on a maximum entropy Markov model which is described in Strakova J., Straka M. and Hajic J. (2013) <http://ufal.mff.cuni.cz/~straka/papers/2013-tsd_ner.pdf>.
URL: https://github.com/bnosac/nametagger
License: MPL-2.0
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: R (>= 2.10)
Imports: Rcpp (>= 0.11.5), udpipe (>= 0.8.1), utils
Suggests: crfsuite
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2020-05-30 09:53:18 UTC; Jan
Author: Jan Wijffels [aut, cre, cph], BNOSAC [cph], Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic [cph], Milan Straka [ctb, cph], Jana Straková [ctb, cph]
Repository: CRAN
Date/Publication: 2020-06-04 11:10:03 UTC

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Package IndexNumber updated to version 1.2 with previous version 1.1 dated 2020-03-02

Title: Index Numbers in Social Sciences
Description: We provide an R tool for teaching in Social Sciences. It allows the computation of 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).
Author: Alejandro Saavedra-Nieves, Paula Saavedra-Nieves
Maintainer: Alejandro Saavedra-Nieves <alejandro.saavedra.nieves@gmail.com>

Diff between IndexNumber versions 1.1 dated 2020-03-02 and 1.2 dated 2020-06-04

 DESCRIPTION       |   10 +++++-----
 MD5               |    4 ++--
 build/partial.rdb |binary
 3 files changed, 7 insertions(+), 7 deletions(-)

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New package ggtext with initial version 0.1.0
Package: ggtext
Type: Package
Title: Improved Text Rendering Support for 'ggplot2'
Version: 0.1.0
Authors@R: person( given = "Claus O.", family = "Wilke", role = c("aut", "cre"), email = "wilke@austin.utexas.edu", comment = c(ORCID = "0000-0002-7470-9261") )
Description: A 'ggplot2' extension that enables the rendering of complex formatted plot labels (titles, subtitles, facet labels, axis labels, etc.). Text boxes with automatic word wrap are also supported.
URL: https://wilkelab.org/ggtext
BugReports: https://github.com/wilkelab/ggtext/issues
License: GPL-2
Depends: R (>= 3.5)
Imports: ggplot2 (>= 3.3.0), grid, gridtext, rlang, scales
Suggests: cowplot, dplyr, glue, knitr, rmarkdown, testthat, vdiffr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-05-31 16:12:46 UTC; clauswilke
Author: Claus O. Wilke [aut, cre] (<https://orcid.org/0000-0002-7470-9261>)
Maintainer: Claus O. Wilke <wilke@austin.utexas.edu>
Repository: CRAN
Date/Publication: 2020-06-04 11:40:02 UTC

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New package fishbc with initial version 0.0.1
Package: fishbc
Title: Fishes of British Columbia
Version: 0.0.1
Authors@R: c(person(given = "Evan", family = "Amies-Galonski", role = c("aut", "cre"), email = "evan@poissonconsulting.ca", comment = c(ORCID = "https://orcid.org/0000-0003-1096-2089")), person(given = "Joe", family = "Thorley", role = "aut", email = "joe@poissonconsulting.ca", comment = c(ORCID = "https://orcid.org/0000-0002-7683-4592")), person(given = "Bronwen", family = "Lewis", role = "ctb"), person(given = "Jesse", family = "Patterson", role = "ctb"), person(given = "Gordon", family = "Oliphant", role = "ctb"), person(given = "Seb", family = "Dalgarno", role = "ctb"), person(given = "Poisson Consulting", role = c("cph", "fnd")), person(given = "Province of British Columbia", role = "cph"))
Description: Provides raw and curated data on the codes, classification and conservation status of freshwater fishes in British Columbia. Marine fishes will be added in a future release.
License: CC BY 4.0
URL: https://github.com/poissonconsulting/fishbc
BugReports: https://github.com/poissonconsulting/fishbc/issues
Depends: R (>= 3.3)
Suggests: chk, testthat
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-29 22:28:38 UTC; evanamies-galonski
Author: Evan Amies-Galonski [aut, cre] (<https://orcid.org/0000-0003-1096-2089>), Joe Thorley [aut] (<https://orcid.org/0000-0002-7683-4592>), Bronwen Lewis [ctb], Jesse Patterson [ctb], Gordon Oliphant [ctb], Seb Dalgarno [ctb], Poisson Consulting [cph, fnd], Province of British Columbia [cph]
Maintainer: Evan Amies-Galonski <evan@poissonconsulting.ca>
Repository: CRAN
Date/Publication: 2020-06-04 11:40:06 UTC

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Package fastlogranktest updated to version 0.2.1 with previous version 0.1.1 dated 2020-02-02

Title: A Fast Way to Calculate the p-Value of One or Multiple Log-Rank-Tests
Description: A very fast Log-Rank-Test implementation that is several orders of magnitude faster than the implementation in the 'survival' package. Log-Rank-Tests can be computed individually or concurrently using threading.
Author: Andreas Stelzer, Manuela Lautizi, Tim Kacprowski, Research group of Computational Systems Medicine, Chair of Experimental Bioinformatics, TU Munich
Maintainer: Tim Kacprowski <tim.kacprowski@wzw.tum.de>

Diff between fastlogranktest versions 0.1.1 dated 2020-02-02 and 0.2.1 dated 2020-06-04

 DESCRIPTION                                             |   17 +-
 MD5                                                     |   25 ++--
 NAMESPACE                                               |   12 -
 R/RcppExports.R                                         |   30 ++--
 R/logrank_test.R                                        |  100 ++++++++--------
 man/logrank_test.Rd                                     |   64 +++++-----
 man/multi_logrank_test.Rd                               |   85 +++++++------
 src/RcppExports.cpp                                     |   27 ++--
 src/logrank_r.cpp                                       |   34 +++--
 tests/testthat.R                                        |    8 -
 tests/testthat/test-benchmarks.R                        |   90 +++++++-------
 tests/testthat/test-logrank_example.R                   |   16 +-
 tests/testthat/test-multi_logrank_example.R             |   22 +--
 tests/testthat/test-multi_logrank_example_multithread.R |only
 14 files changed, 276 insertions(+), 254 deletions(-)

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New package dendRoAnalyst with initial version 0.1.0
Package: dendRoAnalyst
Type: Package
Date: 2020-05-27
Title: A Complete Tool for Processing and Analyzing Dendrometer Data
Version: 0.1.0
Authors@R: c( person("Sugam", "Aryal", email = "sugam.aryal@fau.de", role = c("aut", "cre", "dtc")), person("Martin", "Häusser", email = "martin.haeusser@fau.de", role = "aut"), person("Jussi", "Grießinger", email = "jussi.griessinger@fau.de", role = "aut"), person("Ze-Xin", "Fan", email = "fanzexin@xtbg.org.cn", role = "aut"), person("Achim", "Bräuning", email = "achim.braeuning@fau.de", role = c("aut", "dgs")))
Maintainer: Sugam Aryal <sugam.aryal@fau.de>
Description: There are various functions for managing and cleaning data before the application of different approaches. This includes identifying and erasing sudden jumps in dendrometer data not related to environmental change, identifying the time gaps of recordings, and changing the temporal resolution of data to different frequencies. Furthermore, the package calculates daily statistics of dendrometer data, including the daily amplitude of tree growth. Various approaches can be applied to separate radial growth from daily cyclic shrinkage and expansion due to uptake and loss of stem water. In addition, it identifies periods of consecutive days with user-defined climatic conditions in daily meteorological data, then check what trees are doing during that period.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: R (>= 2.10), boot, pspline, zoo, graphics, grDevices, stats, base
NeedsCompilation: no
Packaged: 2020-06-03 17:44:41 UTC; local-admin
Author: Sugam Aryal [aut, cre, dtc], Martin Häusser [aut], Jussi Grießinger [aut], Ze-Xin Fan [aut], Achim Bräuning [aut, dgs]
Repository: CRAN
Date/Publication: 2020-06-04 11:10:06 UTC

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New package datasetsICR with initial version 1.0
Package: datasetsICR
Type: Package
Title: Datasets from the Book "An Introduction to Clustering with R"
Version: 1.0
Date: 2020-05-31
Author: Paolo Giordani, Maria Brigida Ferraro, Francesca Martella
Maintainer: Paolo Giordani <paolo.giordani@uniroma1.it>
Description: Companion to the book "An Introduction to Clustering with R" by P. Giordani, M.B. Ferraro and F. Martella (Springer, Singapore, 2020). The datasets are used in some case studies throughout the text.
Depends: R (>= 3.5.0)
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2020-05-31 14:30:04 UTC; paolo
Repository: CRAN
Date/Publication: 2020-06-04 11:40:10 UTC

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New package confintr with initial version 0.1.0
Type: Package
Package: confintr
Title: Confidence Intervals
Version: 0.1.0
Date: 2020-05-31
Authors@R: person(given = "Michael", family = "Mayer", role = c("aut", "cre"), email = "mayermichael79@gmail.com")
Maintainer: Michael Mayer <mayermichael79@gmail.com>
Description: Calculates classic and/or bootstrap confidence intervals for many parameters such as the population mean, variance, interquartile range (IQR), median absolute deviation (MAD), skewness, kurtosis, Cramer's V, R-squared, quantiles (incl. median), proportions, different types of correlation measures, difference in means, quantiles and medians. Many of the classic confidence intervals are described in Smithson, M. (2003, ISBN: 978-0761924999). Bootstrap confidence intervals are calculated with the R package 'boot'. Both one- and two-sided intervals are supported.
License: GPL (>= 2)
URL: https://github.com/mayer79/confintr
BugReports: https://github.com/mayer79/confintr/issues
Depends: R (>= 3.1.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: stats, boot
Suggests: knitr, testthat
NeedsCompilation: no
Packaged: 2020-05-31 14:11:22 UTC; Michael
Author: Michael Mayer [aut, cre]
Repository: CRAN
Date/Publication: 2020-06-04 11:30:02 UTC

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New package sentencepiece with initial version 0.1.1
Package: sentencepiece
Type: Package
Title: Text Tokenization using Byte Pair Encoding and Unigram Modelling
Version: 0.1.1
Authors@R: c( person('Jan', 'Wijffels', role = c('aut', 'cre', 'cph'), email = 'jwijffels@bnosac.be', comment = "R wrapper"), person('BNOSAC', role = 'cph', comment = "R wrapper"), person('Google Inc.', role = c('ctb', 'cph'), comment = "Files at src/sentencepiece/src (Apache License, Version 2.0"), person('The Abseil Authors', role = c('ctb', 'cph'), comment = "Files at src/third_party/absl (Apache License, Version 2.0"), person('Google Inc.', role = c('ctb', 'cph'), comment = "Files at src/third_party/protobuf-lite (BSD-3 License)"), person('Kenton Varda (Google Inc.)', role = c('ctb', 'cph'), comment = "Files at src/third_party/protobuf-lite: coded_stream.cc, extension_set.cc, generated_message_util.cc, generated_message_util.cc, message_lite.cc, repeated_field.cc, wire_format_lite.cc, zero_copy_stream.cc, zero_copy_stream_impl_lite.cc, google/protobuf/extension_set.h, google/protobuf/generated_message_util.h, google/protobuf/wire_format_lite.h, google/protobuf/wire_format_lite_inl.h, google/protobuf/message_lite.h, google/protobuf/repeated_field.h, google/protobuf/io/coded_stream.h, google/protobuf/io/zero_copy_stream_impl_lite.h, google/protobuf/io/zero_copy_stream.h, google/protobuf/stubs/common.h, google/protobuf/stubs/hash.h, google/protobuf/stubs/once.h, google/protobuf/stubs/once.h.org (BSD-3 License)"), person('Sanjay Ghemawat (Google Inc.)', role = c('ctb', 'cph'), comment = "Design of files at src/third_party/protobuf-lite: coded_stream.cc, extension_set.cc, generated_message_util.cc, generated_message_util.cc, message_lite.cc, repeated_field.cc, wire_format_lite.cc, zero_copy_stream.cc, zero_copy_stream_impl_lite.cc, google/protobuf/extension_set.h, google/protobuf/generated_message_util.h, google/protobuf/wire_format_lite.h, google/protobuf/wire_format_lite_inl.h, google/protobuf/message_lite.h, google/protobuf/repeated_field.h, google/protobuf/io/coded_stream.h, google/protobuf/io/zero_copy_stream_impl_lite.h, google/protobuf/io/zero_copy_stream.h (BSD-3 License)"), person('Jeff Dean (Google Inc.)', role = c('ctb', 'cph'), comment = "Design of files at src/third_party/protobuf-lite: coded_stream.cc, extension_set.cc, generated_message_util.cc, generated_message_util.cc, message_lite.cc, repeated_field.cc, wire_format_lite.cc, zero_copy_stream.cc, zero_copy_stream_impl_lite.cc, google/protobuf/extension_set.h, google/protobuf/generated_message_util.h, google/protobuf/wire_format_lite.h, google/protobuf/wire_format_lite_inl.h, google/protobuf/message_lite.h, google/protobuf/repeated_field.h, google/protobuf/io/coded_stream.h, google/protobuf/io/zero_copy_stream_impl_lite.h, google/protobuf/io/zero_copy_stream.h (BSD-3 License)"), person('Laszlo Csomor (Google Inc.)', role = c('ctb', 'cph'), comment = "Files at src/third_party/protobuf-lite: io_win32.cc, google/protobuf/stubs/io_win32.h (BSD-3 License)"), person('Wink Saville (Google Inc.)', role = c('ctb', 'cph'), comment = "Files at src/third_party/protobuf-lite: message_lite.cc, google/protobuf/wire_format_lite.h, google/protobuf/wire_format_lite_inl.h, google/protobuf/message_lite.h (BSD-3 License)"), person('Jim Meehan (Google Inc.)', role = c('ctb', 'cph'), comment = "Files at src/third_party/protobuf-lite: structurally_valid.cc (BSD-3 License)"), person('Chris Atenasio (Google Inc.)', role = c('ctb', 'cph'), comment = "Files at src/third_party/protobuf-lite: google/protobuf/wire_format_lite.h (BSD-3 License)"), person('Jason Hsueh (Google Inc.)', role = c('ctb', 'cph'), comment = "Files at src/third_party/protobuf-lite: google/protobuf/io/coded_stream_inl.h (BSD-3 License)"), person('Anton Carver (Google Inc.)', role = c('ctb', 'cph'), comment = "Files at src/third_party/protobuf-lite: google/protobuf/stubs/map_util.h (BSD-3 License)"), person('Maxim Lifantsev (Google Inc.)', role = c('ctb', 'cph'), comment = "Files at src/third_party/protobuf-lite: google/protobuf/stubs/mathlimits.h (BSD-3 License)"), person('Susumu Yata', role = c('ctb', 'cph'), comment = "Files at src/third_party/darts_clone (BSD-3 License"), person('Daisuke Okanohara', role = c('ctb', 'cph'), comment = "File src/third_party/esaxx/esa.hxx (MIT License)"), person('Yuta Mori', role = c('ctb', 'cph'), comment = "File src/third_party/esaxx/sais.hxx (MIT License)"), person('Benjamin Heinzerling', role = c('ctb', 'cph'), comment = "Files data/models/nl.wiki.bpe.vs1000.d25.w2v.txt and data/models/nl.wiki.bpe.vs1000.model (MIT License)"))
Maintainer: Jan Wijffels <jwijffels@bnosac.be>
Description: Unsupervised text tokenizer allowing to perform byte pair encoding and unigram modelling. Wraps the 'sentencepiece' library <https://github.com/google/sentencepiece> which provides a language independent tokenizer to split text in words and smaller subword units. The techniques are explained in the paper "SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing" by Taku Kudo and John Richardson (2018) <doi:10.18653/v1/D18-2012>. Provides as well straightforward access to pretrained byte pair encoding models and subword embeddings trained on Wikipedia using 'word2vec', as described in "BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages" by Benjamin Heinzerling and Michael Strube (2018) <http://www.lrec-conf.org/proceedings/lrec2018/pdf/1049.pdf>.
URL: https://github.com/bnosac/sentencepiece
License: MPL-2.0
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: R (>= 2.10)
Imports: Rcpp (>= 0.11.5)
Suggests: tokenizers.bpe
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2020-05-29 19:27:35 UTC; Jan
Author: Jan Wijffels [aut, cre, cph] (R wrapper), BNOSAC [cph] (R wrapper), Google Inc. [ctb, cph] (Files at src/sentencepiece/src (Apache License, Version 2.0), The Abseil Authors [ctb, cph] (Files at src/third_party/absl (Apache License, Version 2.0), Google Inc. [ctb, cph] (Files at src/third_party/protobuf-lite (BSD-3 License)), Kenton Varda (Google Inc.) [ctb, cph] (Files at src/third_party/protobuf-lite: coded_stream.cc, extension_set.cc, generated_message_util.cc, generated_message_util.cc, message_lite.cc, repeated_field.cc, wire_format_lite.cc, zero_copy_stream.cc, zero_copy_stream_impl_lite.cc, google/protobuf/extension_set.h, google/protobuf/generated_message_util.h, google/protobuf/wire_format_lite.h, google/protobuf/wire_format_lite_inl.h, google/protobuf/message_lite.h, google/protobuf/repeated_field.h, google/protobuf/io/coded_stream.h, google/protobuf/io/zero_copy_stream_impl_lite.h, google/protobuf/io/zero_copy_stream.h, google/protobuf/stubs/common.h, google/protobuf/stubs/hash.h, google/protobuf/stubs/once.h, google/protobuf/stubs/once.h.org (BSD-3 License)), Sanjay Ghemawat (Google Inc.) [ctb, cph] (Design of files at src/third_party/protobuf-lite: coded_stream.cc, extension_set.cc, generated_message_util.cc, generated_message_util.cc, message_lite.cc, repeated_field.cc, wire_format_lite.cc, zero_copy_stream.cc, zero_copy_stream_impl_lite.cc, google/protobuf/extension_set.h, google/protobuf/generated_message_util.h, google/protobuf/wire_format_lite.h, google/protobuf/wire_format_lite_inl.h, google/protobuf/message_lite.h, google/protobuf/repeated_field.h, google/protobuf/io/coded_stream.h, google/protobuf/io/zero_copy_stream_impl_lite.h, google/protobuf/io/zero_copy_stream.h (BSD-3 License)), Jeff Dean (Google Inc.) [ctb, cph] (Design of files at src/third_party/protobuf-lite: coded_stream.cc, extension_set.cc, generated_message_util.cc, generated_message_util.cc, message_lite.cc, repeated_field.cc, wire_format_lite.cc, zero_copy_stream.cc, zero_copy_stream_impl_lite.cc, google/protobuf/extension_set.h, google/protobuf/generated_message_util.h, google/protobuf/wire_format_lite.h, google/protobuf/wire_format_lite_inl.h, google/protobuf/message_lite.h, google/protobuf/repeated_field.h, google/protobuf/io/coded_stream.h, google/protobuf/io/zero_copy_stream_impl_lite.h, google/protobuf/io/zero_copy_stream.h (BSD-3 License)), Laszlo Csomor (Google Inc.) [ctb, cph] (Files at src/third_party/protobuf-lite: io_win32.cc, google/protobuf/stubs/io_win32.h (BSD-3 License)), Wink Saville (Google Inc.) [ctb, cph] (Files at src/third_party/protobuf-lite: message_lite.cc, google/protobuf/wire_format_lite.h, google/protobuf/wire_format_lite_inl.h, google/protobuf/message_lite.h (BSD-3 License)), Jim Meehan (Google Inc.) [ctb, cph] (Files at src/third_party/protobuf-lite: structurally_valid.cc (BSD-3 License)), Chris Atenasio (Google Inc.) [ctb, cph] (Files at src/third_party/protobuf-lite: google/protobuf/wire_format_lite.h (BSD-3 License)), Jason Hsueh (Google Inc.) [ctb, cph] (Files at src/third_party/protobuf-lite: google/protobuf/io/coded_stream_inl.h (BSD-3 License)), Anton Carver (Google Inc.) [ctb, cph] (Files at src/third_party/protobuf-lite: google/protobuf/stubs/map_util.h (BSD-3 License)), Maxim Lifantsev (Google Inc.) [ctb, cph] (Files at src/third_party/protobuf-lite: google/protobuf/stubs/mathlimits.h (BSD-3 License)), Susumu Yata [ctb, cph] (Files at src/third_party/darts_clone (BSD-3 License), Daisuke Okanohara [ctb, cph] (File src/third_party/esaxx/esa.hxx (MIT License)), Yuta Mori [ctb, cph] (File src/third_party/esaxx/sais.hxx (MIT License)), Benjamin Heinzerling [ctb, cph] (Files data/models/nl.wiki.bpe.vs1000.d25.w2v.txt and data/models/nl.wiki.bpe.vs1000.model (MIT License))
Repository: CRAN
Date/Publication: 2020-06-04 10:10:03 UTC

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New package rsyncrosim with initial version 1.2.4
Package: rsyncrosim
Type: Package
Title: The R Interface to 'SyncroSim'
Version: 1.2.4
Authors@R: c( person("Colin", "Daniel", email = "colin.daniel@apexrms.com", role = c("aut", "cre")), person("Josie", "Hughes", email = "josie.hughes@canada.ca", role = "aut"), person("Alex", "Embrey", role = "aut"), person("Leonardo", "Frid", role = "aut"), person("Valentin", "Lucet", role = "aut"), person("ApexRMS", role="cph"))
Description: 'SyncroSim' is a generalized framework for managing scenario-based datasets (<https://syncrosim.com/>). 'rsyncrosim' provides an interface to 'SyncroSim'. Simulation models can be added to 'SyncroSim' in order to transform these datasets, taking advantage of general features such as defining scenarios of model inputs, running Monte Carlo simulations, and summarizing model outputs. 'rsyncrosim' requires 'Syncrosim' 2.2.13 or higher (API documentation: <http://docs.syncrosim.com/>).
License: MIT + file LICENSE
LazyData: TRUE
Encoding: UTF-8
Imports: methods, DBI, RSQLite, raster
Suggests: knitr, testthat, ggplot2, Rcpp, rgdal, rmarkdown
SystemRequirements: SyncroSim (>=2.2.13)
Collate: 'AAAClassDefinitions.R' 'addModule.R' 'addPackage.R' 'addPackageFile.R' 'addRow.R' 'addon.R' 'backup.R' 'basePackage.R' 'breakpoint.R' 'command.R' 'datasheet.R' 'datasheetRaster.R' 'dateModified.R' 'delete.R' 'deleteModule.R' 'deletePackage.R' 'dependency.R' 'description.R' 'disableAddon.R' 'enableAddon.R' 'filepath.R' 'info.R' 'internalHelpers.R' 'name.R' 'scenarioId.R' 'projectId.R' 'sqlStatement.R' 'scenario.R' 'project.R' 'ssimLibrary.R' 'session.R' 'internalWrappers.R' 'mergeDependencies.R' 'model.R' 'module.R' 'owner.R' 'package.R' 'parentId.R' 'print.R' 'printCmd.R' 'readOnly.R' 'rsyncrosim.R' 'run.R' 'runLog.R' 'saveDatasheet.R' 'silent.R' 'ssimEnvironment.R' 'ssimUpdate.R' 'updatePackage.R' 'version.R'
RoxygenNote: 7.1.0
VignetteBuilder: knitr
URL: https://github.com/syncrosim/rsyncrosim
BugReports: https://github.com/syncrosim/rsyncrosim/issues
NeedsCompilation: no
Packaged: 2020-05-29 23:01:34 UTC; Administrator
Author: Colin Daniel [aut, cre], Josie Hughes [aut], Alex Embrey [aut], Leonardo Frid [aut], Valentin Lucet [aut], ApexRMS [cph]
Maintainer: Colin Daniel <colin.daniel@apexrms.com>
Repository: CRAN
Date/Publication: 2020-06-04 10:10:07 UTC

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Package microseq updated to version 2.1.1 with previous version 2.1 dated 2020-05-29

Title: Basic Biological Sequence Handling
Description: Basic functions for microbial sequence data analysis. The idea is to use generic R data structures as much as possible, making R data wrangling possible also for sequence data.
Author: Lars Snipen, Kristian Hovde Liland
Maintainer: Lars Snipen <lars.snipen@nmbu.no>

Diff between microseq versions 2.1 dated 2020-05-29 and 2.1.1 dated 2020-06-04

 DESCRIPTION           |    8 ++++----
 MD5                   |    6 +++---
 R/fasta.R             |    2 +-
 inst/doc/vignette.pdf |binary
 4 files changed, 8 insertions(+), 8 deletions(-)

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New package ipa with initial version 0.1.0
Package: ipa
Title: Convert Between Phonetic Alphabets
Version: 0.1.0
Authors@R: person(given = "Alexander", family = "Rossell Hayes", role = c("aut", "cre", "cph"), email = "alexander@rossellhayes.com", comment = c(ORCID = "0000-0001-9412-0457"))
Description: Converts character vectors between phonetic representations. Supports IPA (International Phonetic Alphabet), X-SAMPA (Extended Speech Assessment Methods Phonetic Alphabet), and ARPABET (used by the CMU Pronouncing Dictionary).
License: MIT + file LICENSE
URL: https://github.com/rossellhayes/ipa
BugReports: https://github.com/rossellhayes/ipa/issues
Depends: R (>= 2.10)
Imports: stringi
Suggests: covr, testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-30 08:56:18 UTC; Alex
Author: Alexander Rossell Hayes [aut, cre, cph] (<https://orcid.org/0000-0001-9412-0457>)
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>
Repository: CRAN
Date/Publication: 2020-06-04 10:20:02 UTC

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New package volcano3D with initial version 1.0.0
Package: volcano3D
Type: Package
Title: Interactive Plotting of Three-Way Differential Expression Analysis
Version: 1.0.0
Authors@R: c(person("Katriona", "Goldmann", role = c("aut", "cre"), email = "k.goldmann@qmul.ac.uk"), person("Myles", "Lewis", role = c("aut", "ctb")))
Maintainer: Katriona Goldmann <k.goldmann@qmul.ac.uk>
URL: https://github.com/KatrionaGoldmann/volcano3D
BugReports: https://github.com/KatrionaGoldmann/volcano3D/issues
Description: Differential expression (DE) analysis can be used to discover quantitative changes in expression levels between experimental groups. Such results are typically visualised using volcano plots, however in cases where more than two experimental groups are involved, visualising results can become convoluted and it quickly becomes difficult to see the wood for the trees. This package provides easy-to-use functions to extract and visualise outputs from DE between three groups (primarily aimed at 'limma' and 'DESeq2' outputs). We present novel methods to map DE results into polar coordinates to enable users to combine and simultaneously view three sets of results. These graphics also possess optional 'plotly' outputs for interactive and three-dimensional functionality, as seen in Lewis et. al. (2019) <doi:10.1016/j.celrep.2019.07.091>.
Language: en-gb
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
VignetteBuilder: knitr
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-29 16:36:58 UTC; kgoldmann
Imports: plotly, ggplot2, ggpubr, ggrepel, methods
Suggests: knitr, rmarkdown, kableExtra, usethis
Author: Katriona Goldmann [aut, cre], Myles Lewis [aut, ctb]
Repository: CRAN
Date/Publication: 2020-06-04 09:50:02 UTC

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Package stringfish updated to version 0.12 with previous version 0.11 dated 2020-05-31

Title: Alt String Implementation
Description: Provides an extendable and performant 'alt-string' implementation backed by 'C++' vectors and strings.
Author: Travers Ching [aut, cre, cph], Phillip Hazel [ctb] (Bundled PCRE2 code), Zoltan Herczeg [ctb, cph] (Bundled PCRE2 code), University of Cambridge [cph] (Bundled PCRE2 code), Tilera Corporation [cph] (Stack-less Just-In-Time compiler bundled with PCRE2)
Maintainer: Travers Ching <traversc@gmail.com>

Diff between stringfish versions 0.11 dated 2020-05-31 and 0.12 dated 2020-06-04

 ChangeLog                  |    9 +++-
 DESCRIPTION                |    7 ++-
 MD5                        |   18 ++++-----
 README.md                  |    2 -
 configure                  |   86 +++++++++++++++++++++++++++++++--------------
 configure.ac               |   49 +++++++++++++++++++++----
 inst/doc/vignette.html     |    2 -
 inst/include/sf_internal.h |    5 ++
 src/Makevars.in            |    3 +
 src/sf_altrep.h            |    6 +--
 10 files changed, 133 insertions(+), 54 deletions(-)

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New package survRM2perm with initial version 0.1.0
Package: survRM2perm
Type: Package
Title: Permutation Test for Comparing Restricted Mean Survival Time
Version: 0.1.0
Date: 2020-05-21
Author: Miki Horiguchi, Hajime Uno
Maintainer: Miki Horiguchi <horiguchimiki@gmail.com>
Depends: R (>= 3.6.0)
Imports: survival, methods, stats4
Description: Performs the permutation test using difference in the restricted mean survival time (RMST) between groups as a summary measure of the survival time distribution. When the sample size is less than 50 per group, it has been shown that there is non-negligible inflation of the type I error rate in the commonly used asymptotic test for the RMST comparison. Generally, permutation tests can be useful in such a situation. However, when we apply the permutation test for the RMST comparison, particularly in small sample situations, there are some cases where the survival function in either group cannot be defined due to censoring in the permutation process. Horiguchi and Uno (2020) <doi:10.1002/sim.8565> have examined six workable solutions to handle this numerical issue. It performs permutation tests with implementation of the six methods outlined in the paper when the numerical issue arises during the permutation process. The result of the asymptotic test is also provided for a reference.
License: GPL-2
LazyData: true
RoxygenNote: 7.1.0.9000
NeedsCompilation: no
Packaged: 2020-05-29 18:08:51 UTC; miki
Repository: CRAN
Date/Publication: 2020-06-04 10:00:02 UTC

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Package rphylopic updated to version 0.3.0 with previous version 0.2.0 dated 2018-11-19

Title: Get 'Silhouettes' of 'Organisms' from 'Phylopic'
Description: Work with 'Phylopic' web service (<http://phylopic.org/api/>) to get 'silhouette' images of 'organisms', search names, and more. Includes functions for adding 'silhouettes' to both base plots and ggplot2 plots.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), David Miller [ctb]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between rphylopic versions 0.2.0 dated 2018-11-19 and 0.3.0 dated 2020-06-04

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 30 files changed, 454 insertions(+), 375 deletions(-)

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New package rvmethod with initial version 0.1.0
Package: rvmethod
Type: Package
Title: Radial Velocity Method for Detecting Exoplanets
Version: 0.1.0
Author: Parker Holzer
Maintainer: Parker Holzer <parker.holzer@yale.edu>
Description: Has various functions designed to implement the Hermite-Gaussian Radial Velocity (HGRV) estimation approach of Holzer et al. (2020) <arXiv:2005.14083>, which is a particular application of the radial velocity method for detecting exoplanets. The overall approach consists of four sequential steps, each of which has a function in this package: (1) estimate the template spectrum with the function estimate_template(), (2) find absorption features in the estimated template with the function findabsorptionfeatures(), (3) fit Gaussians to the absorption features with the function Gaussfit(), (4) apply the HGRV with simple linear regression by calling the function hgrv(). This package is meant to be open source. But please cite the paper Holzer et al. (2020) <arXiv:2005.14083> when publishing results that use this package.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: parallel, locfit, assertthat
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-05-29 14:40:09 UTC; parkerholzer
Repository: CRAN
Date/Publication: 2020-06-04 09:30:02 UTC

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New package pathfindR.data with initial version 1.0.0
Package: pathfindR.data
Title: Data Package for 'pathfindR'
Version: 1.0.0
Authors@R: c(person("Ege", "Ulgen", role = c("cre", "cph"), email = "egeulgen@gmail.com", comment = c(ORCID = "0000-0003-2090-3621")), person("Ozan", "Ozisik", role = "aut", email = "ozanytu@gmail.com", comment = c(ORCID = "0000-0001-5980-8002")))
Maintainer: Ege Ulgen <egeulgen@gmail.com>
Description: This is a data-only package, containing data needed to run the CRAN package 'pathfindR', a package for enrichment analysis utilizing active subnetworks. This package contains protein-protein interaction network data, data related to gene sets and example input/output data.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0)
RoxygenNote: 7.1.0
URL: https://github.com/egeulgen/pathfindR.data
BugReports: https://github.com/egeulgen/pathfindR.data/issues
NeedsCompilation: no
Packaged: 2020-05-29 15:03:42 UTC; egeulgen
Author: Ege Ulgen [cre, cph] (<https://orcid.org/0000-0003-2090-3621>), Ozan Ozisik [aut] (<https://orcid.org/0000-0001-5980-8002>)
Repository: CRAN
Date/Publication: 2020-06-04 09:40:03 UTC

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New package MetGen with initial version 0.5
Package: MetGen
Type: Package
Title: Stochastic Weather Generator
Version: 0.5
Date: 2020-05-29
Author: Julie Carreau, Nesrine Farhani
Maintainer: Nesrine Farhani <nesrine.farhani@ird.fr>
Description: An adaptation of the multi-variable stochastic weather generator proposed in 'Rglimclim' to perform gap-filling and temporal extension at sub-daily resolution. Simulation is performed based on large scale variables and climatic observation data that could be generated from different gauged stations having geographical proximity. SWG relies on reanalyses. Multi-variable dependence is taking into account by using the decomposition of the product rule (in statistics) into conditional probabilities. See <https://hal.archives-ouvertes.fr/hal-02554676>.
License: GPL (>= 2.0)
LazyLoad: yes
LazyData: true
Depends: R (>= 3.5.0), chron, glmnet, MASS
URL: www.r-project.org
NeedsCompilation: no
Packaged: 2020-05-29 15:14:13 UTC; farhani
Repository: CRAN
Date/Publication: 2020-06-04 09:40:10 UTC

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New package mcmcOutput with initial version 0.1.1
Package: mcmcOutput
Type: Package
Title: Functions to Store, Manipulate and Display Markov Chain Monte Carlo (MCMC) Output
Version: 0.1.1
Date: 2020-05-29
Depends: R (>= 2.10)
Imports: HDInterval, coda, MASS
Authors@R: c( person("Mike", "Meredith", role=c("aut", "cre"), email=("mike@mmeredith.net")), person("John", "Kruschke", role="ctb"))
URL: https://github.com/mikemeredith/mcmcOutput
BugReports: https://github.com/mikemeredith/mcmcOutput/issues
Description: Implements a class ('mcmcOutput') for efficiently storing and handling Markov chain Monte Carlo (MCMC) output, intended as an aid for those writing customized MCMC samplers. A range of constructor methods are provided covering common output formats. Functions are provided to generate summary and diagnostic statistics and to display histograms or density plots of posterior distributions, for the entire output, or subsets of draws, nodes, or parameters.
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2020-05-29 01:50:17 UTC; User
Author: Mike Meredith [aut, cre], John Kruschke [ctb]
Maintainer: Mike Meredith <mike@mmeredith.net>
Repository: CRAN
Date/Publication: 2020-06-04 09:10:02 UTC

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New package DriveML with initial version 0.1.0
Package: DriveML
Type: Package
Title: Self-Drive Machine Learning Projects
Version: 0.1.0
Authors@R: c(person("Dayanand Ubrangala", role = c("aut", "cre"), email = "daya6489@gmail.com"), person("Sayan", "Putatunda", role = c("aut","ctb")), person("Kiran", "R", role = c("aut","ctb")), person("Ravi", "Prasad Kondapalli", role = c("aut","ctb")))
Maintainer: Dayanand Ubrangala <daya6489@gmail.com>
Depends: R (>= 3.3.0)
Imports: sampling(>= 2.8), rmarkdown(>= 1.9), data.table(>= 1.10.4-3), SmartEDA(>= 0.3.1) , caTools, ParamHelpers(>= 1.12), mlr(>= 2.15.0), ggplot2(>= 2.2.1), iml
Description: Implementing some of the pillars of an automated machine learning pipeline such as (i) Automated data preparation, (ii) Feature engineering, (iii) Model building in classification context that includes techniques such as (a) Regularised regression [1], (b) Logistic regression [2], (c) Random Forest [3], (d) Decision tree [4] and (e) Extreme Gradient Boosting (xgboost) [5], and finally, (iv) Model explanation (using lift chart and partial dependency plots). Accomplishes the above tasks by running the function instead of writing lengthy R codes. Also provides some additional features such as generating missing at random (MAR) variables and automated exploratory data analysis. Moreover, function exports the model results with the required plots in an HTML vignette report format that follows the best practices of the industry and the academia. [1] Gonzales G B and De Saeger (2018) <doi:10.1038/s41598-018-21851-7>, [2] Sperandei S (2014) <doi:10.11613/BM.2014.003>, [3] Breiman L (2001) <doi:10.1023/A:1010933404324>, [4] Kingsford C and Salzberg S (2008) <doi:10.1038/nbt0908-1011>, [5] Chen Tianqi and Guestrin Carlos (2016) <doi:10.1145/2939672.2939785>.
License: MIT + file LICENSE
Suggests: testthat, knitr, ranger, glmnet, randomForest, rpart, xgboost, stats, graphics, tidyr, MASS
Encoding: UTF-8
LazyData: true
Repository: CRAN
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-05-29 15:46:10 UTC; dubrangala
Author: Dayanand Ubrangala [aut, cre], Sayan Putatunda [aut, ctb], Kiran R [aut, ctb], Ravi Prasad Kondapalli [aut, ctb]
Date/Publication: 2020-06-04 09:50:06 UTC

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New package dash with initial version 0.5.0
Package: dash
Title: An Interface to the 'dash' Ecosystem for Authoring Reactive Web Applications
Version: 0.5.0
Authors@R: c(person("Chris", "Parmer", role = c("aut"), email = "chris@plotly.com"), person("Ryan Patrick", "Kyle", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5829-9867"), email = "ryan@plotly.com"), person("Carson", "Sievert", role = c("aut"), comment = c(ORCID = "0000-0002-4958-2844")), person("Hammad", "Khan", role = c("aut"), email = "hammadkhan@plotly.com"), person(family = "Plotly Technologies", role = "cph"))
Description: A framework for building analytical web applications, 'dash' offers a pleasant and productive development experience. No JavaScript required.
Depends: R (>= 3.0.2)
Imports: dashHtmlComponents (== 1.0.3), dashCoreComponents (== 1.10.0), dashTable (== 4.7.0), R6, fiery (> 1.0.0), routr (> 0.2.0), plotly, reqres (>= 0.2.3), jsonlite, htmltools, assertthat, digest, base64enc, mime, crayon, brotli
Suggests: testthat
Collate: 'utils.R' 'dependencies.R' 'dash-package.R' 'dash.R' 'imports.R' 'print.R' 'internal.R'
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
KeepSource: true
RoxygenNote: 7.1.0
URL: https://github.com/plotly/dashR
BugReports: https://github.com/plotly/dashR/issues
NeedsCompilation: no
Packaged: 2020-05-29 14:56:48 UTC; rpkyle
Author: Chris Parmer [aut], Ryan Patrick Kyle [aut, cre] (<https://orcid.org/0000-0001-5829-9867>), Carson Sievert [aut] (<https://orcid.org/0000-0002-4958-2844>), Hammad Khan [aut], Plotly Technologies [cph]
Maintainer: Ryan Patrick Kyle <ryan@plotly.com>
Repository: CRAN
Date/Publication: 2020-06-04 09:40:06 UTC

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New package corrgrapher with initial version 1.0.2
Package: corrgrapher
Type: Package
Title: Explore Correlations Between Variables in a Machine Learning Model
Version: 1.0.2
Encoding: UTF-8
Authors@R: c(person("Pawel", "Morgen", email = "seriousmorgen@protonmail.com", role = c("aut", "cre")), person("Przemyslaw", "Biecek", role = c("aut")))
Maintainer: Pawel Morgen <seriousmorgen@protonmail.com>
Description: When exploring data or models we often examine variables one by one. This analysis is incomplete if the relationship between these variables is not taken into account. The 'corrgrapher' package facilitates simultaneous exploration of the Partial Dependence Profiles and the correlation between variables in the model. The package 'corrgrapher' is a part of the 'DrWhy.AI' universe.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: visNetwork, DALEX, ingredients, htmltools, jsonlite, ggplot2, knitr
Suggests: rmarkdown, testthat, gbm, ranger, spelling, covr
RoxygenNote: 7.1.0
URL: https://modeloriented.github.io/corrgrapher/, https://github.com/ModelOriented/corrgrapher
BugReports: https://github.com/ModelOriented/corrgrapher/issues
Language: en-US
NeedsCompilation: no
Packaged: 2020-05-29 14:41:23 UTC; mrdomani
Author: Pawel Morgen [aut, cre], Przemyslaw Biecek [aut]
Repository: CRAN
Date/Publication: 2020-06-04 09:30:05 UTC

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New package ArchaeoPhases.dataset with initial version 0.1.0
Package: ArchaeoPhases.dataset
Type: Package
Title: Data Sets for 'ArchaeoPhases' Vignettes
Version: 0.1.0
Date: 2020-05-23
Author: Anne Philippe [aut, cre], Thomas S. Dye [ctb]
Authors@R: c( person("Anne", "Philippe", role = c("aut", "cre"), email = "anne.philippe@univ-nantes.fr"), person("Thomas S.", "Dye", role = c("ctb")) )
Description: Provides the data sets used to build the 'ArchaeoPhases' vignettes. The data sets were formerly distributed with 'ArchaeoPhases', however they exceed current CRAN policy for package size.
License: GPL-3
Depends: R (>= 3.5.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Maintainer: Anne Philippe <anne.philippe@univ-nantes.fr>
Packaged: 2020-05-29 06:17:25 UTC; annephilippe
Repository: CRAN
Date/Publication: 2020-06-04 09:10:06 UTC

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Package tsfknn updated to version 0.4.0 with previous version 0.3.0 dated 2019-05-31

Title: Time Series Forecasting Using Nearest Neighbors
Description: Allows to forecast time series using nearest neighbors regression Francisco Martinez, Maria P. Frias, Maria D. Perez-Godoy and Antonio J. Rivera (2017) <doi:10.1007/s10462-017-9593-z>. When the forecasting horizon is higher than 1, two multi-step ahead forecasting strategies can be used. The model built is autoregressive, that is, it is only based on the observations of the time series. The nearest neighbors used in a prediction can be consulted and plotted.
Author: Francisco Martinez [aut, cre]
Maintainer: Francisco Martinez <fmartin@ujaen.es>

Diff between tsfknn versions 0.3.0 dated 2019-05-31 and 0.4.0 dated 2020-06-04

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Package showtextdb updated to version 3.0 with previous version 2.0 dated 2017-09-11

Title: Font Files for the 'showtext' Package
Description: Providing font files that can be used by the 'showtext' package.
Author: Yixuan Qiu and authors/contributors of the included fonts. See file AUTHORS for details.
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

Diff between showtextdb versions 2.0 dated 2017-09-11 and 3.0 dated 2020-06-04

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 12 files changed, 80 insertions(+), 48 deletions(-)

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Package polyMatrix updated to version 0.3.1 with previous version 0.2.5 dated 2020-02-03

Title: Infrastructure for Manipulation Polynomial Matrices
Description: Implementation of class "polyMatrix" for storing a matrix of polynomials and implements basic matrix operations; including a determinant and characteristic polynomial. It is based on the package 'polynom' and uses a lot of its methods to implement matrix operations. This package includes 3 methods of triangularization of polynomial matrices: Extended Euclidean algorithm which is most classical but numerically unstable; Sylvester algorithm based on LQ decomposition; Interpolation algorithm is based on LQ decomposition and Newton interpolation. Both methods are described in D. Henrion & M. Sebek, Reliable numerical methods for polynomial matrix triangularization, IEEE Transactions on Automatic Control (Volume 44, Issue 3, Mar 1999, Pages 497-508) <doi:10.1109/9.751344> and in Salah Labhalla, Henri Lombardi & Roger Marlin, Algorithmes de calcule de la reduction de Hermite d'une matrice a coefficients polynomeaux, Theoretical Computer Science (Volume 161, Issue 1-2, July 1996, Pages 69-92) <doi:10.1016/0304-3975(95)00090-9>.
Author: Tamas Prohle [aut], Peter Prohle [aut], Nikolai Ryzhkov [aut, cre], Ildiko Laszlo [aut] (<https://orcid.org/0000-0003-2324-8183>), Ulas Onat Alakent [ctb]
Maintainer: Nikolai Ryzhkov <namezys@gmail.com>

Diff between polyMatrix versions 0.2.5 dated 2020-02-03 and 0.3.1 dated 2020-06-04

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 polyMatrix-0.3.1/polyMatrix/R/pMconvert.R               |   10 ++---
 polyMatrix-0.3.1/polyMatrix/R/trans.R                   |   23 ++++++++++++-
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New package gclm with initial version 0.0.1
Package: gclm
Type: Package
Title: Graphical Continuous Lyapunov Models
Version: 0.0.1
Authors@R: c( person(given = "Gherardo", family = "Varando", role = c("aut", "cre", "cph"), email = "gherardo.varando@gmail.com", comment = c(ORCID = "0000-0002-6708-1103")), person(given = "Niels Richard", family = "Hansen", role = "aut", comment = c(ORCID = "0000-0003-3883-365X")) )
Description: Estimation of covariance matrices as solutions of continuous time Lyapunov equations. Sparse coefficient matrix and diagonal noise are estimated with a proximal gradient method for an l1-penalized loss minimization problem. Varando G, Hansen NR (2020) <arXiv:2005.10483>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
URL: https://github.com/gherardovarando/gclm
BugReports: https://github.com/gherardovarando/gclm/issues
Suggests: testthat
NeedsCompilation: yes
Packaged: 2020-05-25 06:55:33 UTC; gherardo
Author: Gherardo Varando [aut, cre, cph] (<https://orcid.org/0000-0002-6708-1103>), Niels Richard Hansen [aut] (<https://orcid.org/0000-0003-3883-365X>)
Maintainer: Gherardo Varando <gherardo.varando@gmail.com>
Repository: CRAN
Date/Publication: 2020-06-04 08:40:07 UTC

More information about gclm at CRAN
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Package rsample updated to version 0.0.7 with previous version 0.0.6 dated 2020-03-31

Title: General Resampling Infrastructure
Description: Classes and functions to create and summarize different types of resampling objects (e.g. bootstrap, cross-validation).
Author: Max Kuhn [aut, cre], Fanny Chow [aut], Hadley Wickham [aut], RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

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Package mcprofile updated to version 1.0-0 with previous version 0.2-3 dated 2016-10-09

Title: Testing Generalized Linear Hypotheses for Generalized Linear Model Parameters by Profile Deviance
Description: Calculation of signed root deviance profiles for linear combinations of parameters in a generalized linear model. Multiple tests and simultaneous confidence intervals are provided.
Author: Daniel Gerhard [aut, cre]
Maintainer: Daniel Gerhard <00gerhard@gmail.com>

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Package grf updated to version 1.2.0 with previous version 1.1.0 dated 2020-03-12

Title: Generalized Random Forests
Description: A pluggable package for forest-based statistical estimation and inference. GRF currently provides methods for non-parametric least-squares regression, quantile regression, survival regression and treatment effect estimation (optionally using instrumental variables), with support for missing values.
Author: Julie Tibshirani [aut, cre], Susan Athey [aut], Rina Friedberg [ctb], Vitor Hadad [ctb], David Hirshberg [ctb], Luke Miner [ctb], Erik Sverdrup [ctb], Stefan Wager [aut], Marvin Wright [ctb]
Maintainer: Julie Tibshirani <jtibs@cs.stanford.edu>

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Package goric updated to version 1.1-1 with previous version 1.1-0 dated 2018-05-29

Title: Generalized Order-Restricted Information Criterion
Description: Generalized Order-Restricted Information Criterion (GORIC) value for a set of hypotheses in multivariate linear models and generalised linear models.
Author: Daniel Gerhard [aut, cre], Rebecca M. Kuiper [aut]
Maintainer: Daniel Gerhard <00gerhard@gmail.com>

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Package cobalt updated to version 4.2.0 with previous version 4.1.0 dated 2020-04-11

Title: Covariate Balance Tables and Plots
Description: Generate balance tables and plots for covariates of groups preprocessed through matching, weighting or subclassification, for example, using propensity scores. Includes integration with 'MatchIt', 'twang', 'Matching', 'optmatch', 'CBPS', 'ebal', 'WeightIt', 'cem', 'sbw', and 'designmatch' for assessing balance on the output of their preprocessing functions. Users can also specify data for balance assessment not generated through the above packages. Also included are methods for assessing balance in clustered or multiply imputed data sets or data sets with longitudinal treatments.
Author: Noah Greifer [aut, cre] (<https://orcid.org/0000-0003-3067-7154>)
Maintainer: Noah Greifer <noah.greifer@gmail.com>

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Package scipub updated to version 1.1.0 with previous version 1.0.0 dated 2020-05-18

Title: Summarize Data for Scientific Publication
Description: Create and format tables and APA statistics for scientific publication. This includes making a 'Table 1' to summarize demographics across groups, correlation tables with significance indicated by stars, and extracting formatted statistical summarizes from simple tests for in-text notation. The package also includes functions for Winsorizing data based on a Z-statistic cutoff.
Author: David Pagliaccio [aut, cre] (<https://orcid.org/0000-0002-1214-1965>)
Maintainer: David Pagliaccio <david.pagliaccio@gmail.com>

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Package AtelieR (with last version 0.24) was removed from CRAN

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

2013-09-22 0.24
2012-11-22 0.23
2011-11-14 0.22

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Package PKgraph (with last version 1.7) was removed from CRAN

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2012-03-14 1.7
2011-12-19 1.6
2011-10-10 1.5
2011-03-01 1.4
2011-02-24 1.3
2010-12-02 1.2
2010-06-16 1.1
2010-06-01 1.0

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Package MissingDataGUI (with last version 0.2-5) was removed from CRAN

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2016-04-25 0.2-5
2015-12-27 0.2-4
2014-09-14 0.2-2
2014-03-20 0.2-0
2013-01-31 0.1-5
2013-01-30 0.1-4
2012-05-17 0.1-3

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Package gWidgetsRGtk2 (with last version 0.0-86.1) was removed from CRAN

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2020-05-20 0.0-86.1
2018-03-01 0.0-86
2018-01-04 0.0-85
2017-07-17 0.0-84
2014-11-26 0.0-83
2013-11-11 0.0-82
2012-04-10 0.0-81
2012-04-03 0.0-80
2012-02-22 0.0-79
2011-12-22 0.0-78
2011-10-24 0.0-77
2011-09-02 0.0-76
2011-07-23 0.0-75
2011-05-08 0.0-74
2011-04-30 0.0-73
2011-01-21 0.0-72
2011-01-11 0.0-70
2010-09-26 0.0-69
2010-07-29 0.0-68
2010-07-09 0.0-67
2010-06-29 0.0-66
2010-05-06 0.0-65
2010-03-25 0.0-64
2010-03-19 0.0-63
2010-03-09 0.0-62
2010-03-07 0.0-61
2010-02-13 0.0-59
2010-01-05 0.0-58
2009-12-20 0.0-57
2009-12-16 0.0-56
2009-12-15 0.0-55
2009-09-09 0.0-54
2009-08-01 0.0-53
2009-06-14 0.0-52
2009-03-03 0.0-51
2009-02-13 0.0-50
2009-02-03 0.0-49
2008-12-18 0.0-48
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2008-10-30 0.0-46
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2008-05-04 0.0-33
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2007-08-09 0.0-21
2007-08-02 0.0-20
2007-07-12 0.0-19
2007-05-21 0.0-16

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Package econetwork (with last version 0.4) was removed from CRAN

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2020-04-06 0.4
2020-03-10 0.3

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Package jstor updated to version 0.3.9 with previous version 0.3.8 dated 2020-04-03

Title: Read Data from JSTOR/DfR
Description: Functions and helpers to import metadata, ngrams and full-texts delivered by Data for Research by JSTOR.
Author: Thomas Klebel [aut, cre] (<https://orcid.org/0000-0002-7331-4751>)
Maintainer: Thomas Klebel <t.klebel@hotmail.com>

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Package heritEWAS updated to version 0.2.0 with previous version 0.1.0 dated 2020-04-29

Title: Identify Heritable Methylation Marks
Description: A novel statistical method based on expectation maximisation (EM) algorithm and genetic segregation analysis to identify heritable DNA methylation marks. Details about the method can be found in Joo et al. (2018) <doi:10.1038/s41467-018-03058-6>.
Author: James Dowty [aut], Kevin Wong [aut, cre]
Maintainer: Kevin Wong <wongck.kevin@gmail.com>

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Package envirem updated to version 2.2 with previous version 2.1 dated 2019-11-25

Title: Generation of ENVIREM Variables
Description: Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables.
Author: Pascal O. Title, Jordan B. Bemmels
Maintainer: Pascal Title <ptitle@iu.edu>

Diff between envirem versions 2.1 dated 2019-11-25 and 2.2 dated 2020-06-04

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