Wed, 15 Jun 2022

Package cpfa updated to version 1.0-3 with previous version 1.0-2 dated 2022-05-16

Title: Classification with Parallel Factor Analysis
Description: Classification using Richard A. Harshman's Parallel Factor Analysis (Parafac) model-1 fit to a three-way or four-way data tensor/array. See Harshman (1994) <doi:10.1016/0167-9473(94)90132-5>. Uses Parafac factor weights from one mode of this model as predictors to tune parameters for one or more classification methods via a k-fold cross-validation procedure. Supports penalized logistic regression, support vector machine, random forest, and feed-forward neural network. Supports binary and multiclass classification. Predicts class labels or class probabilities and calculates multiple classification performance measures. Parallel computing is implemented via the 'parallel' and 'doParallel' packages.
Author: Matthew A. Snodgress <snodg031@umn.edu>
Maintainer: Matthew A. Snodgress <snodg031@umn.edu>

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Package tinytex updated to version 0.40 with previous version 0.39 dated 2022-05-16

Title: Helper Functions to Install and Maintain TeX Live, and Compile LaTeX Documents
Description: Helper functions to install and maintain the 'LaTeX' distribution named 'TinyTeX' (<https://yihui.org/tinytex/>), a lightweight, cross-platform, portable, and easy-to-maintain version of 'TeX Live'. This package also contains helper functions to compile 'LaTeX' documents, and install missing 'LaTeX' packages automatically.
Author: Yihui Xie [aut, cre, cph] , RStudio, PBC [cph], Christophe Dervieux [ctb] , Devon Ryan [ctb] , Ethan Heinzen [ctb], Fernando Cagua [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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New package MomTrunc with initial version 6.0
Package: MomTrunc
Title: Moments of Folded and Doubly Truncated Multivariate Distributions
Version: 6.0
Date: 2022-06-15
Author: Christian E. Galarza [aut, cre, trl] , Raymond Kan [ctb] , Victor H. Lachos [aut, ths]
Maintainer: Christian E. Galarza <cgalarza88@gmail.com>
Description: It computes arbitrary products moments (mean vector and variance-covariance matrix), for some double truncated (and folded) multivariate distributions. These distributions belong to the family of selection elliptical distributions, which includes well known skewed distributions as the unified skew-t distribution (SUT) and its particular cases as the extended skew-t (EST), skew-t (ST) and the symmetric student-t (T) distribution. Analogous normal cases unified skew-normal (SUN), extended skew-normal (ESN), skew-normal (SN), and symmetric normal (N) are also included. Density, probabilities and random deviates are also offered for these members.
License: GPL (>= 2)
Depends: R (>= 3.6.0)
Imports: Rcpp (>= 1.0.1), mvtnorm (>= 1.0.11), tlrmvnmvt (>= 1.1.0), hypergeo
LinkingTo: Rcpp (>= 1.0.1), RcppArmadillo, mvtnorm
Suggests: tmvtnorm
NeedsCompilation: yes
Packaged: 2022-06-15 18:51:55 UTC; cgala
Repository: CRAN
Date/Publication: 2022-06-15 23:10:05 UTC

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Package BayesTools updated to version 0.2.11 with previous version 0.2.10 dated 2022-05-10

Title: Tools for Bayesian Analyses
Description: Provides tools for conducting Bayesian analyses. The package contains functions for creating a wide range of prior distribution objects, mixing posterior samples from 'JAGS' and 'Stan' models, plotting posterior distributions, and etc... The tools for working with prior distribution span from visualization, generating 'JAGS' and 'bridgesampling' syntax to basic functions such as rng, quantile, and distribution functions.
Author: Frantisek Bartos [aut, cre]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

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Package tabxplor updated to version 1.1.0 with previous version 1.0.3 dated 2022-04-09

Title: User-Friendly Tables with Color Helpers for Data Exploration
Description: Make it easy to deal with multiple cross-tables in data exploration, by creating them, manipulating them, and adding color helpers to highlight important informations (differences from totals, comparisons between lines or columns, contributions to variance, margins of error, etc.). All functions are pipe-friendly and render data frames which can be easily manipulated. In the same time, time-taking operations are done with `data.table` to go faster with big dataframes. Tables can be exported to Excel and in html with formats and colors.
Author: Brice Nocenti [aut, cre]
Maintainer: Brice Nocenti <brice.nocenti@gmail.com>

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Package MSclust updated to version 1.0.1 with previous version 1.0 dated 2022-04-08

Title: Multiple-Scaled Clustering
Description: Model based clustering using the multivariate multiple Scaled t (MST) and multivariate multiple scaled contaminated normal (MSCN) distributions. The MST is an extension of the multivariate Student-t distribution to include flexible tail behaviors, Forbes, F. & Wraith, D. (2014) <doi:10.1007/s11222-013-9414-4>. The MSCN represents a heavy-tailed generalization of the multivariate normal (MN) distribution to model elliptical contoured scatters in the presence of mild outliers (also referred to as "bad" points) and automatically detect bad points, Punzo, A. & Tortora, C. (2021) <doi:10.1177/1471082X19890935>.
Author: Cristina Tortora [aut, cre, cph] , Antonio Punzo [aut] , Louis Tran [aut]
Maintainer: Cristina Tortora <grikris1@gmail.com>

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Package lmeInfo updated to version 0.2.0 with previous version 0.1.3 dated 2021-02-02

Title: Information Matrices for 'lmeStruct' and 'glsStruct' Objects
Description: Provides analytic derivatives and information matrices for fitted linear mixed effects (lme) models and generalized least squares (gls) models estimated using lme() (from package 'nlme') and gls() (from package 'nlme'), respectively. The package includes functions for estimating the sampling variance-covariance of variance component parameters using the inverse Fisher information. The variance components include the parameters of the random effects structure (for lme models), the variance structure, and the correlation structure. The expected and average forms of the Fisher information matrix are used in the calculations, and models estimated by full maximum likelihood or restricted maximum likelihood are supported. The package also includes a function for estimating standardized mean difference effect sizes (Pustejovsky, Hedges, and Shadish (2014) <DOI:10.3102/1076998614547577>) based on fitted lme or gls models.
Author: James Pustejovsky [aut] , Man Chen [aut, cre]
Maintainer: Man Chen <manchen9005@gmail.com>

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Package Ecdat updated to version 0.4-0 with previous version 0.3-9 dated 2020-11-03

Title: Data Sets for Econometrics
Description: Data sets for econometrics, including political science.
Author: Yves Croissant <yves.croissant@let.ish-lyon.cnrs.fr> and Spencer Graves
Maintainer: Spencer Graves <spencer.graves@effectivedefense.org>

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Package DALEX updated to version 2.4.2 with previous version 2.4.1 dated 2022-05-21

Title: moDel Agnostic Language for Exploration and eXplanation
Description: Any unverified black box model is the path to failure. Opaqueness leads to distrust. Distrust leads to ignoration. Ignoration leads to rejection. DALEX package xrays any model and helps to explore and explain its behaviour. Machine Learning (ML) models are widely used and have various applications in classification or regression. Models created with boosting, bagging, stacking or similar techniques are often used due to their high performance. But such black-box models usually lack direct interpretability. DALEX package contains various methods that help to understand the link between input variables and model output. Implemented methods help to explore the model on the level of a single instance as well as a level of the whole dataset. All model explainers are model agnostic and can be compared across different models. DALEX package is the cornerstone for 'DrWhy.AI' universe of packages for visual model exploration. Find more details in (Biecek 2018) <arXiv:1806.08915>.
Author: Przemyslaw Biecek [aut, cre] , Szymon Maksymiuk [aut] , Hubert Baniecki [aut]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

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Package AlphaSimR updated to version 1.2 with previous version 1.1.2 dated 2022-02-17

Title: Breeding Program Simulations
Description: The successor to the 'AlphaSim' software for breeding program simulation [Faux et al. (2016) <doi:10.3835/plantgenome2016.02.0013>]. Used for stochastic simulations of breeding programs to the level of DNA sequence for every individual. Contained is a wide range of functions for modeling common tasks in a breeding program, such as selection and crossing. These functions allow for constructing simulations of highly complex plant and animal breeding programs via scripting in the R software environment. Such simulations can be used to evaluate overall breeding program performance and conduct research into breeding program design, such as implementation of genomic selection. Included is the 'Markovian Coalescent Simulator' ('MaCS') for fast simulation of biallelic sequences according to a population demographic history [Chen et al. (2009) <doi:10.1101/gr.083634.108>].
Author: Chris Gaynor [aut, cre] , Gregor Gorjanc [ctb] , John Hickey [ctb] , Daniel Money [ctb] , David Wilson [ctb], Thiago Oliveira [ctb]
Maintainer: Chris Gaynor <gaynor.robert@hotmail.com>

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Package EESPCA updated to version 0.7.0 with previous version 0.6.0 dated 2022-05-16

Title: Eigenvectors from Eigenvalues Sparse Principal Component Analysis (EESPCA)
Description: Contains logic for computing sparse principal components via the EESPCA method, which is based on an approximation of the eigenvector/eigenvalue identity. Includes logic to support execution of the TPower and rifle sparse PCA methods, as well as logic to estimate the sparsity parameters used by EESPCA, TPower and rifle via cross-validation to minimize the out-of-sample reconstruction error. H. Robert Frost (2021) <doi:10.1080/10618600.2021.1987254>.
Author: H. Robert Frost
Maintainer: H. Robert Frost <rob.frost@dartmouth.edu>

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Package Rsmlx updated to version 5.0.1 with previous version 4.0.2 dated 2022-03-04

Title: R Speaks 'Monolix'
Description: Provides methods for model building and model evaluation of mixed effects models using 'Monolix' <https://monolix.lixoft.com>. 'Monolix' is a software tool for nonlinear mixed effects modeling that must have been installed in order to use 'Rsmlx'. Among other tasks, 'Rsmlx' provides a powerful tool for automatic PK model building, performs statistical tests for model assessment, bootstrap simulation and likelihood profiling for computing confidence intervals. 'Rsmlx' also proposes several automatic covariate search methods for mixed effects models.
Author: Marc Lavielle [aut, cre], Jonathan Chauvin [ctb], Clemence Pinaud [ctb]
Maintainer: Marc Lavielle <Marc.Lavielle@inria.fr>

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Package moreparty updated to version 0.3 with previous version 0.2.1 dated 2021-07-14

Title: A Toolbox for Conditional Inference Trees and Random Forests
Description: Additions to 'party' and 'partykit' packages : tools for the interpretation of forests (surrogate trees, prototypes, etc.), feature selection (see Gregorutti et al (2017) <arXiv:1310.5726>, Hapfelmeier and Ulm (2013) <doi:10.1016/j.csda.2012.09.020>, Altmann et al (2010) <doi:10.1093/bioinformatics/btq134>) and parallelized versions of conditional forest and variable importance functions. Also modules and a shiny app for conditional inference trees.
Author: Nicolas Robette
Maintainer: Nicolas Robette <nicolas.robette@uvsq.fr>

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Package reReg updated to version 1.4.4 with previous version 1.4.3 dated 2022-04-19

Title: Recurrent Event Regression
Description: A comprehensive collection of practical and easy-to-use tools for regression analysis of recurrent events, with or without the presence of a (possibly) informative terminal event. The modeling framework is based on a joint frailty scale-change model, that includes models described in Wang et al. (2001) <doi:10.1198/016214501753209031>, Huang and Wang (2004) <doi:10.1198/016214504000001033>, Xu et al. (2017) <doi:10.1080/01621459.2016.1173557>, and Xu et al. (2019) <doi:10.5705/SS.202018.0224> as special cases. The implemented estimating procedure does not require any parametric assumption on the frailty distribution. The package also allows the users to specify different model forms for both the recurrent event process and the terminal event.
Author: Sy Han Chiou [aut, cre], Chiung-Yu Huang [aut]
Maintainer: Sy Han (Steven) Chiou <schiou@utdallas.edu>

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New package hisse with initial version 2.1.9
Package: hisse
Version: 2.1.9
Date: 2022-06-15
Title: Hidden State Speciation and Extinction
Maintainer: Jeremy Beaulieu <jmbeauli@uark.edu>
Depends: ape, deSolve, GenSA, subplex, nloptr
Suggests: testthat, knitr, rmarkdown, markdown
Imports: parallel, phytools, data.table, igraph, methods, diversitree, paleotree, plotrix, geiger, phangorn, TreeSim, corHMM
Description: Sets up and executes a HiSSE model (Hidden State Speciation and Extinction) on a phylogeny and character sets to test for hidden shifts in trait dependent rates of diversification. Beaulieu and O'Meara (2016) <doi:10.1093/sysbio/syw022>.
License: GPL (>= 2)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-06-15 14:31:28 UTC; jeremybeaulieu
Author: Jeremy Beaulieu [aut, cre], Brian O'Meara [aut], Daniel Caetano [aut], James Boyko [aut], Thais Vasconcelos [aut]
Repository: CRAN
Date/Publication: 2022-06-15 15:40:02 UTC

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New package germinationmetrics with initial version 0.1.6
Package: germinationmetrics
Title: Seed Germination Indices and Curve Fitting
Version: 0.1.6
Description: Provides functions to compute various germination indices such as germinability, median germination time, mean germination time, mean germination rate, speed of germination, Timson's index, germination value, coefficient of uniformity of germination, uncertainty of germination process, synchrony of germination etc. from germination count data. Includes functions for fitting cumulative seed germination curves using four-parameter hill function and computation of associated parameters. See the vignette for more, including full list of citations for the methods implemented.
Copyright: 2017-2022, ICAR-NBPGR
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
Imports: broom, data.table, ggplot2, ggrepel, mathjaxr, minpack.lm, plyr, Rdpack, utils, stats
Suggests: knitr, rmarkdown, reshape2, pander, XML, httr, RCurl
URL: https://github.com/aravind-j/germinationmetrics, https://aravind-j.github.io/germinationmetrics/ https://CRAN.R-project.org/package=germinationmetrics https://doi.org/10.5281/zenodo.1219630
BugReports: https://github.com/aravind-j/germinationmetrics/issues
NeedsCompilation: no
Packaged: 2022-06-15 09:31:42 UTC; J. Aravind
Author: J. Aravind [aut, cre] , S. Vimala Devi [aut], J. Radhamani [aut], Sherry Rachel Jacob [aut], Kalyani Srinivasan [aut], ICAR-NBGPR [cph]
Maintainer: J. Aravind <j.aravind@icar.gov.in>
Repository: CRAN
Date/Publication: 2022-06-15 16:00:02 UTC

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Package DanielBiostatistics10th updated to version 0.1.6 with previous version 0.1.5 dated 2022-06-07

Title: Functions for Wayne W. Daniel's Biostatistics, Tenth Edition
Description: Functions to accompany Wayne W. Daniel's Biostatistics: A Foundation for Analysis in the Health Sciences, Tenth Edition.
Author: Tingting Zhan [aut, cre, cph]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package dail updated to version 1.3.1 with previous version 1.3 dated 2022-04-01

Title: Data from Access to Information Law
Description: Downloads the public data available from the Brazilian Access to Information Law and and performs a search on information requests and appeals made since 2015.
Author: Igor Laltuf [aut, cre]
Maintainer: Igor Laltuf <igorlaltuf@gmail.com>

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Package bimets updated to version 2.1.1 with previous version 2.1.0 dated 2022-04-02

Title: Time Series and Econometric Modeling
Description: Time series analysis, (dis)aggregation and manipulation, e.g. time series extension, merge, projection, lag, lead, delta, moving and cumulative average and product, selection by index, date and year-period, conversion to daily, monthly, quarterly, (semi)annually. Simultaneous equation models definition, estimation, simulation and forecasting with coefficient restrictions, error autocorrelation, exogenization, add-factors, impact and interim multipliers analysis, conditional equation evaluation, endogenous targeting and model renormalization, structural stability, stochastic simulation and forecast, optimal control.
Author: Andrea Luciani [aut, cre] , Roberto Stok [aut], Bank of Italy [cph]
Maintainer: Andrea Luciani <andrea.luciani@bancaditalia.it>

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Package bibliometrix updated to version 4.0.0 with previous version 3.2.1 dated 2022-02-21

Title: Comprehensive Science Mapping Analysis
Description: Tool for quantitative research in scientometrics and bibliometrics. It provides various routines for importing bibliographic data from 'SCOPUS', 'Clarivate Analytics Web of Science' (<https://www.webofknowledge.com/>), 'Digital Science Dimensions' (<https://www.dimensions.ai/>), 'Cochrane Library' (<https://www.cochranelibrary.com/>), 'Lens' (<https://lens.org>), and 'PubMed' (<https://pubmed.ncbi.nlm.nih.gov/>) databases, performing bibliometric analysis and building networks for co-citation, coupling, scientific collaboration and co-word analysis.
Author: Massimo Aria [cre, aut], Corrado Cuccurullo [aut]
Maintainer: Massimo Aria <aria@unina.it>

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Package nlme updated to version 3.1-158 with previous version 3.1-157 dated 2022-03-25

Title: Linear and Nonlinear Mixed Effects Models
Description: Fit and compare Gaussian linear and nonlinear mixed-effects models.
Author: Jose Pinheiro [aut] , Douglas Bates [aut] , Saikat DebRoy [ctb] , Deepayan Sarkar [ctb] , EISPACK authors [ctb] , Siem Heisterkamp [ctb] , Bert Van Willigen [ctb] , Johannes Ranke [ctb] ), R Core Team [aut, cre]
Maintainer: R Core Team <R-core@R-project.org>

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Package RapidoPGS updated to version 2.2.0 with previous version 2.1.0 dated 2021-06-17

Title: A Fast and Light Package to Compute Polygenic Risk Scores
Description: Quickly computes polygenic scores from GWAS summary statistics of either case-control or quantitative traits, without LD matrix computation or parameter tuning. Reales,G., Vigorito, E., Kelemen,M., Wallace,C. (2021) <doi:10.1101/2020.07.24.220392> "RápidoPGS: A rapid polygenic score calculator for summary GWAS data without a test dataset".
Author: Guillermo Reales [aut, cre] , Chris Wallace [aut] , Olly Burren [ctb]
Maintainer: Guillermo Reales <gr440@cam.ac.uk>

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Package inflection updated to version 1.3.6 with previous version 1.3.5 dated 2019-06-28

Title: Finds the Inflection Point of a Curve
Description: Implementation of methods Extremum Surface Estimator (ESE) and Extremum Distance Estimator (EDE) to identify the inflection point of a curve . Christopoulos, DT (2014) <doi:10.48550/arXiv.1206.5478> . Christopoulos, DT (2016) <https://veltech.edu.in/wp-content/uploads/2016/04/Paper-04-2016.pdf> . Christopoulos, DT (2016) <doi:10.2139/ssrn.3043076> .
Author: Demetris T. Christopoulos
Maintainer: Demetris T. Christopoulos <dchristop@econ.uoa.gr>

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Package hgwrr updated to version 0.2-3 with previous version 0.2-2 dated 2022-05-20

Title: Hierarchical and Geographically Weighted Regression
Description: This model divides coefficients into three types, i.e., local fixed effects, global fixed effects, and random effects (Hu et al., 2022)<doi:10.1177/23998083211063885>. If data have spatial hierarchical structures (especially are overlapping on some locations), it is worth trying this model to reach better fitness.
Author: Yigong Hu, Richard Harris, Richard Timmerman
Maintainer: Yigong Hu <yigong.hu@bristol.ac.uk>

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New package annotater with initial version 0.2.1
Package: annotater
Title: Annotate Package Load Calls
Version: 0.2.1
Description: Provides non-invasive annotation of package load calls such as \code{library()}, \code{p_load()}, and \code{require()} so that we can have an idea of what the packages we are loading are meant for.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stringr, purrr, tibble, dplyr, stringi, readr, rstudioapi, tidyr, rlang
URL: https://github.com/luisDVA/annotater, https://annotater.liomys.mx
BugReports: https://github.com/luisDVA/annotater/issues
Suggests: testthat, knitr, rmarkdown, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-14 18:14:33 UTC; luisd
Author: Luis D. Verde Arregoitia [aut, cre]
Maintainer: Luis D. Verde Arregoitia <luis@liomys.mx>
Repository: CRAN
Date/Publication: 2022-06-15 13:20:02 UTC

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Package rpact updated to version 3.3.0 with previous version 3.2.3 dated 2022-03-02

Title: Confirmatory Adaptive Clinical Trial Design and Analysis
Description: Design and analysis of confirmatory adaptive clinical trials with continuous, binary, and survival endpoints according to the methods described in the monograph by Wassmer and Brannath (2016) <doi:10.1007/978-3-319-32562-0>. This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.
Author: Gernot Wassmer [aut], Friedrich Pahlke [aut, cre]
Maintainer: Friedrich Pahlke <friedrich.pahlke@rpact.com>

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Package huxtable updated to version 5.5.0 with previous version 5.4.0 dated 2021-05-14

Title: Easily Create and Style Tables for LaTeX, HTML and Other Formats
Description: Creates styled tables for data presentation. Export to HTML, LaTeX, RTF, 'Word', 'Excel', and 'PowerPoint'. Simple, modern interface to manipulate borders, size, position, captions, colours, text styles and number formatting. Table cells can span multiple rows and/or columns. Includes a 'huxreg' function for creation of regression tables, and 'quick_*' one-liners to print data to a new document.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

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Package fspe updated to version 0.1.1 with previous version 0.1.0 dated 2021-02-24

Title: Estimating the Number of Factors in EFA with Out-of-Sample Prediction Errors
Description: Estimating the number of factors in Exploratory Factor Analysis (EFA) with out-of-sample prediction errors using a cross-validation scheme. Haslbeck & van Bork (Preprint) <https://psyarxiv.com/qktsd>.
Author: Jonas Haslbeck [aut, cre], Riet van Bork [ctb]
Maintainer: Jonas Haslbeck <jonashaslbeck@gmail.com>

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Package ggpmisc updated to version 0.4.7 with previous version 0.4.6 dated 2022-04-10

Title: Miscellaneous Extensions to 'ggplot2'
Description: Extensions to 'ggplot2' respecting the grammar of graphics paradigm. Statistics: locate and tag peaks and valleys; label plot with the equation of a fitted polynomial or other types of models; labels with P-value, R^2 or adjusted R^2 or information criteria for fitted models; label with ANOVA table for fitted models; label with summary for fitted models. Model fit classes for which suitable methods are provided by package 'broom' and 'broom.mixed' are supported. Scales and stats to build volcano and quadrant plots based on outcomes, fold changes, p-values and false discovery rates.
Author: Pedro J. Aphalo [aut, cre] , Kamil Slowikowski [ctb] , Samer Mouksassi [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package car updated to version 3.1-0 with previous version 3.0-13 dated 2022-05-02

Title: Companion to Applied Regression
Description: Functions to Accompany J. Fox and S. Weisberg, An R Companion to Applied Regression, Third Edition, Sage, 2019.
Author: John Fox [aut, cre], Sanford Weisberg [aut], Brad Price [aut], Daniel Adler [ctb], Douglas Bates [ctb], Gabriel Baud-Bovy [ctb], Ben Bolker [ctb], Steve Ellison [ctb], David Firth [ctb], Michael Friendly [ctb], Gregor Gorjanc [ctb], Spencer Graves [c [...truncated...]
Maintainer: John Fox <jfox@mcmaster.ca>

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New package worldfootballR with initial version 0.5.6
Package: worldfootballR
Title: Extract and Clean World Football (Soccer) Data
Version: 0.5.6
Description: Allow users to obtain clean and tidy football (soccer) game, team and player data. Data is collected from a number of popular sites, including 'FBref'<https://fbref.com/en/>, transfer and valuations data from 'Transfermarkt'<https://www.transfermarkt.com/> and shooting location and other match stats data from 'Understat'<https://understat.com/> and 'fotmob'<https://www.fotmob.com/>. It gives users the ability to access data more efficiently, rather than having to export data tables to files before being able to complete their analysis.
License: GPL-3
URL: https://github.com/JaseZiv/worldfootballR
BugReports: https://github.com/JaseZiv/worldfootballR/issues
Depends: R (>= 4.0.0)
Imports: dplyr, glue, httr, janitor, jsonlite, lubridate, magrittr, progress, purrr, qdapRegex, readr, rlang, rvest (>= 1.0.0), stats, stringi, stringr, tidyr (>= 1.2.0), utils, withr, xml2, tibble, cli
Suggests: knitr, rmarkdown, testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-14 23:44:46 UTC; zivkovij
Author: Jason Zivkovic [aut, cre, cph], Tony ElHabr [ctb], Tan Ho [ctb]
Maintainer: Jason Zivkovic <jaseziv83@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-15 09:50:02 UTC

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Package webchem updated to version 1.1.3 with previous version 1.1.2 dated 2021-12-06

Title: Chemical Information from the Web
Description: Chemical information from around the web. This package interacts with a suite of web services for chemical information. Sources include: Alan Wood's Compendium of Pesticide Common Names, Chemical Identifier Resolver, ChEBI, Chemical Translation Service, ChemIDplus, ChemSpider, ETOX, Flavornet, NIST Chemistry WebBook, OPSIN, PAN Pesticide Database, PubChem, SRS, Wikidata.
Author: Eduard Szoecs [aut], Robert Allaway [ctb], Daniel Muench [ctb], Johannes Ranke [ctb], Andreas Scharmueller [ctb], Eric R Scott [ctb], Jan Stanstrup [ctb], Joao Vitor F Cavalcante [ctb], Gordon Getzinger [ctb], Tamas Stirling [ctb, cre]
Maintainer: Tamas Stirling <stirling.tamas@gmail.com>

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Package RNAseqQC updated to version 0.1.4 with previous version 0.1.3 dated 2022-05-27

Title: Quality Control for RNA-Seq Data
Description: Functions for semi-automated quality control of bulk RNA-seq data.
Author: Frederik Ziebell [aut, cre] , GlaxoSmithKline Research & Development Limited [cph]
Maintainer: Frederik Ziebell <frederik.x.ziebell@gsk.com>

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Package ppmSuite updated to version 0.2.4 with previous version 0.2.3 dated 2022-06-13

Title: A Collection of Models that Employ a Product Partition Distribution as a Prior on Partitions
Description: Provides a suite of functions that fit models that use PPM type priors for partitions. Models include hierarchical Gaussian and probit ordinal models with a (covariate dependent) PPM. If a covariate dependent product partition model is selected, then all the options detailed in Page, G.L.; Quintana, F.A. (2018) <doi:10.1007/s11222-017-9777-z> are available. If covariate values are missing, then the approach detailed in Page, G.L.; Quintana, F.A.; Mueller, P (2020) <doi:10.1080/10618600.2021.1999824> is employed. Also included in the package is a function that fits a Gaussian likelihood spatial product partition model that is detailed in Page, G.L.; Quintana, F.A. (2016) <doi:10.1214/15-BA971>, and multivariate PPM change point models that are detailed in Quinlan, J.J.; Page, G.L.; Castro, L.M. (2021) <arXiv:2201.07830>.
Author: Garritt L. Page [aut, cre, cph], Jose J. Quinlan [aut, cph], S. McKay Curtis [ctb, cph], Radford M. Neal [ctb, cph]
Maintainer: Garritt L. Page <page@stat.byu.edu>

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New package OUwie with initial version 2.10
Package: OUwie
Version: 2.10
Date: 2022-06-06
Title: Analysis of Evolutionary Rates in an OU Framework
Author: Jeremy M. Beaulieu <jmbeauli@uark.edu>, Brian O'Meara <bomeara@utk.edu>
Maintainer: Jeremy Beaulieu <jmbeauli@uark.edu>
Depends: R (>= 3.2.0), ape, corpcor, nloptr, geiger, RColorBrewer
Suggests: testthat, knitr, rmarkdown
Imports: igraph, numDeriv, phytools, paleotree, phangorn, stats, lhs, interp, grDevices, parallel, phylolm
Description: Estimates rates for continuous character evolution under Brownian motion and a new set of Ornstein-Uhlenbeck based Hansen models that allow both the strength of the pull and stochastic motion to vary across selective regimes. Beaulieu et al (2012).
URL: https://github.com/thej022214/OUwie
License: GPL (>= 2)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-07 12:37:26 UTC; jeremybeaulieu
Repository: CRAN
Date/Publication: 2022-06-15 09:10:02 UTC

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New package mdsOpt with initial version 0.6-3
Package: mdsOpt
Title: Searching for Optimal MDS Procedure for Metric and Interval-Valued Data
Version: 0.6-3
Date: 2022-06-14
Depends: R (>= 3.6.0), smacof, clusterSim, symbolicDA
Imports: animation, plotrix, spdep
Suggests: testthat, R.rsp
VignetteBuilder: R.rsp
Description: Selecting the optimal multidimensional scaling (MDS) procedure for metric data via metric MDS (ratio, interval, mspline) and nonmetric MDS (ordinal). Selecting the optimal multidimensional scaling (MDS) procedure for interval-valued data via metric MDS (ratio, interval, mspline).Selecting the optimal multidimensional scaling procedure for interval-valued data by varying all combinations of normalization and optimization methods.Selecting the optimal MDS procedure for statistical data referring to the evaluation of tourist attractiveness of Lower Silesian counties. (Borg, I., Groenen, P.J.F., Mair, P. (2013) <doi:10.1007/978-3-642-31848-1>, Groenen, P.J.F., Winsberg, S., Rodriguez, O., Diday, E. (2006) <doi:10.1016/j.csda.2006.04.003>, Walesiak, M. (2016) <doi:10.15611/ekt.2016.2.01>, Walesiak, M. (2017) <doi:10.15611/ekt.2017.3.01>).
License: GPL (>= 2)
URL: http://keii.ue.wroc.pl/mdsOpt/
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-06-14 19:14:13 UTC; andrzej
Author: Marek Walesiak [aut] , Andrzej Dudek [aut, cre]
Maintainer: Andrzej Dudek <andrzej.dudek@ue.wroc.pl>
Repository: CRAN
Date/Publication: 2022-06-15 09:20:02 UTC

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Package ggpolar updated to version 0.2.1 with previous version 0.2.0 dated 2021-11-10

Title: Dots and Their Connections in Polar Coordinate System
Description: Provides basic graphing functions to fully demonstrate point-to-point connections in a polar coordinate space.
Author: Shixiang Wang [aut, cre]
Maintainer: Shixiang Wang <w_shixiang@163.com>

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Package copula updated to version 1.1-0 with previous version 1.0-1 dated 2020-12-12

Title: Multivariate Dependence with Copulas
Description: Classes (S4) of commonly used elliptical, Archimedean, extreme-value and other copula families, as well as their rotations, mixtures and asymmetrizations. Nested Archimedean copulas, related tools and special functions. Methods for density, distribution, random number generation, bivariate dependence measures, Rosenblatt transform, Kendall distribution function, perspective and contour plots. Fitting of copula models with potentially partly fixed parameters, including standard errors. Serial independence tests, copula specification tests (independence, exchangeability, radial symmetry, extreme-value dependence, goodness-of-fit) and model selection based on cross-validation. Empirical copula, smoothed versions, and non-parametric estimators of the Pickands dependence function.
Author: Marius Hofert [aut] , Ivan Kojadinovic [aut] , Martin Maechler [aut, cre] , Jun Yan [aut] , Johanna G. Neslehova [ctb] , <https://orcid.org/0000-0001-9634-4796>), Rebecca Morger [ctb] : code for free mixCopula weight parameters)
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package clubSandwich updated to version 0.5.7 with previous version 0.5.6 dated 2022-04-23

Title: Cluster-Robust (Sandwich) Variance Estimators with Small-Sample Corrections
Description: Provides several cluster-robust variance estimators (i.e., sandwich estimators) for ordinary and weighted least squares linear regression models, including the bias-reduced linearization estimator introduced by Bell and McCaffrey (2002) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2002002/article/9058-eng.pdf> and developed further by Pustejovsky and Tipton (2017) <DOI:10.1080/07350015.2016.1247004>. The package includes functions for estimating the variance- covariance matrix and for testing single- and multiple- contrast hypotheses based on Wald test statistics. Tests of single regression coefficients use Satterthwaite or saddle-point corrections. Tests of multiple- contrast hypotheses use an approximation to Hotelling's T-squared distribution. Methods are provided for a variety of fitted models, including lm() and mlm objects, glm(), ivreg() (from package 'AER'), plm() (from package 'plm'), gls() and lme() (from 'nlme'), lmer() (from `lme4`), robu() (from 'robumeta'), and rma.uni() and rma.mv() (from 'metafor').
Author: James Pustejovsky [aut, cre]
Maintainer: James Pustejovsky <jepusto@gmail.com>

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Package cleanTS updated to version 0.1.1 with previous version 0.1.0 dated 2021-08-26

Title: Testbench for Univariate Time Series Cleaning
Description: A reliable and efficient tool for cleaning univariate time series data. It implements reliable and efficient procedures for automating the process of cleaning univariate time series data. The package provides integration with already developed and deployed tools for missing value imputation and outlier detection. It also provides a way of visualizing large time-series data in different resolutions.
Author: Mayur Shende [aut, cre] , Neeraj Bokde [aut] , Andres E. Feijoo-Lorenzo [aut]
Maintainer: Mayur Shende <mayur.k.shende@gmail.com>

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Package arkhe updated to version 0.5.0 with previous version 0.4.0 dated 2021-09-18

Title: Representation of Archaeological Data
Description: A collection of classes that represent archaeological data. This package provides a set of S4 classes that represent different special types of matrix (absolute/relative frequency, presence/absence data, co-occurrence matrix, etc.) upon which package developers can build subclasses. It also provides a set of generic methods (mutators and coercion mechanisms) and functions (e.g. summary statistics, predicates). In addition, a few classes of general interest (e.g. that represent stratigraphic relationships) are implemented.
Author: Nicolas Frerebeau [aut, cre] , Brice Lebrun [ctb]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package poissonreg updated to version 1.0.0 with previous version 0.2.0 dated 2022-03-09

Title: Model Wrappers for Poisson Regression
Description: Bindings for Poisson regression models for use with the 'parsnip' package. Models include simple generalized linear models, Bayesian models, and zero-inflated Poisson models (Zeileis, Kleiber, and Jackman (2008) <doi:10.18637/jss.v027.i08>).
Author: Max Kuhn [aut] , Hannah Frick [aut, cre] , RStudio [cph, fnd]
Maintainer: Hannah Frick <hannah@rstudio.com>

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Package PointedSDMs updated to version 1.0.6 with previous version 1.0.5 dated 2022-06-14

Title: Fit Models Derived from Point Processes to Species Distributions using 'inlabru'
Description: Integrated species distribution modeling is a rising field in quantitative ecology thanks to significant rises in the quantity of data available, increases in computational speed and the proven benefits of using such models. Despite this, the general software to help ecologists construct such models in an easy-to-use framework is lacking. We therefore introduce the R package 'PointedSDMs': which provides the tools to help ecologists set up integrated models and perform inference on them. There are also functions within the package to help run spatial cross-validation for model selection, as well as generic plotting and predicting functions. An introduction to these methods is discussed in Issac, Jarzyna, Keil, Dambly, Boersch-Supan, Browning, Freeman, Golding, Guillera-Arroita, Henrys, Jarvis, Lahoz-Monfort, Pagel, Pescott, Schmucki, Simmonds and O’Hara (2020) <doi:10.1016/j.tree.2019.08.006>.
Author: Philip Mostert [aut, cre], Bob O'hara [aut]
Maintainer: Philip Mostert <philip.s.mostert@ntnu.no>

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Package permutes updated to version 2.5 with previous version 2.4 dated 2022-05-20

Title: Permutation Tests for Time Series Data
Description: Helps you determine the analysis window to use when analyzing densely-sampled time-series data, such as EEG data, using permutation testing (Maris & Oostenveld, 2007) <doi:10.1016/j.jneumeth.2007.03.024>. These permutation tests can help identify the timepoints where significance of an effect begins and ends, and the results can be plotted in various types of heatmap for reporting. Mixed-effects models are supported using an implementation of the approach by Lee & Braun (2012) <doi:10.1111/j.1541-0420.2011.01675.x>.
Author: Cesko C. Voeten [aut, cre]
Maintainer: Cesko C. Voeten <cvoeten@gmail.com>

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Package funcharts updated to version 1.2.0 with previous version 1.1.0 dated 2021-10-01

Title: Functional Control Charts
Description: Provides functional control charts for statistical process monitoring of functional data, using the methods of Capezza et al. (2020) <doi:10.1002/asmb.2507> and Centofanti et al. (2020) <doi:10.1080/00401706.2020.1753581>.
Author: Christian Capezza [cre, aut], Fabio Centofanti [aut], Antonio Lepore [aut], Alessandra Menafoglio [aut], Biagio Palumbo [aut], Simone Vantini [aut]
Maintainer: Christian Capezza <christian.capezza@unina.it>

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Package Ecfun updated to version 0.2-6 with previous version 0.2-5 dated 2021-06-30

Title: Functions for 'Ecdat'
Description: Functions and vignettes to update data sets in 'Ecdat' and to create, manipulate, plot, and analyze those and similar data sets.
Author: Spencer Graves <spencer.graves@effectivedefense.org>
Maintainer: Spencer Graves <spencer.graves@effectivedefense.org>

Diff between Ecfun versions 0.2-5 dated 2021-06-30 and 0.2-6 dated 2022-06-15

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Package beastier updated to version 2.4.10 with previous version 2.4.9 dated 2022-06-03

Title: Call 'BEAST2'
Description: 'BEAST2' (<https://www.beast2.org>) is a widely used Bayesian phylogenetic tool, that uses DNA/RNA/protein data and many model priors to create a posterior of jointly estimated phylogenies and parameters. 'BEAST2' is a command-line tool. This package provides a way to call 'BEAST2' from an 'R' function call.
Author: Richel J.C. Bilderbeek [aut, cre] , Joelle Barido-Sottani [rev] , David Winter [rev] , Jason Griffiths [ctb] , Thijs Janzen [ctb]
Maintainer: Richel J.C. Bilderbeek <richel@richelbilderbeek.nl>

Diff between beastier versions 2.4.9 dated 2022-06-03 and 2.4.10 dated 2022-06-15

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Package agridat updated to version 1.21 with previous version 1.20 dated 2021-12-20

Title: Agricultural Datasets
Description: Datasets from books, papers, and websites related to agriculture. Example graphics and analyses are included. Data come from small-plot trials, multi-environment trials, uniformity trials, yield monitors, and more.
Author: Kevin Wright [aut, cre]
Maintainer: Kevin Wright <kw.stat@gmail.com>

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Package obs.agree (with last version 1.0) was removed from CRAN

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

2013-12-04 1.0

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Package opentraj (with last version 1.0) was removed from CRAN

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

2014-09-19 1.0

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Package tlemix (with last version 0.1.3) was removed from CRAN

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

2013-08-23 0.1.3
2012-02-16 0.1
2011-10-18 0.0.9
2011-01-17 0.0.8
2009-11-08 0.0.7
2009-07-02 0.0.6
2009-05-06 0.0.5
2009-03-04 0.0.4

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Package nparLD (with last version 2.1) was removed from CRAN

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

2012-09-18 2.1
2012-02-27 2.0
2011-02-14 1.3
2009-12-30 1.2
2009-10-15 1.1
2009-09-18 1.0

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Package sfa (with last version 1.0-1) was removed from CRAN

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

2014-01-06 1.0-1
2011-01-24 1.0-0

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Package pom (with last version 1.0) was removed from CRAN

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2013-05-19 1.0
2013-05-19 1.1

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Package rivervis (with last version 0.46.0) was removed from CRAN

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

2015-05-18 0.46.0
2015-04-10 0.45.0
2014-06-18 0.39.4
2014-06-09 0.39.1
2014-04-23 0.38.3
2014-04-03 0.38.2

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Package robustgam (with last version 0.1.7) was removed from CRAN

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

2013-05-10 0.1.7
2013-04-08 0.1.6
2013-01-07 0.1.5
2012-11-26 0.1.4

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Package pycno (with last version 1.2) was removed from CRAN

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2014-08-15 1.2

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

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2014-02-10 2.0

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Package support (with last version 0.1.6) was removed from CRAN

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2022-05-31 0.1.6

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Package selfea (with last version 1.0.1) was removed from CRAN

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

2015-06-22 1.0.1
2015-05-31 1.0

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New package simodels with initial version 0.0.4
Package: simodels
Title: Flexible Framework for Developing Spatial Interaction Models
Version: 0.0.4
Description: Develop spatial interaction models (SIMs). SIMs predict the amount of interaction, for example number of trips per day, between geographic entities representing trip origins and destinations. Contains functions for creating origin-destination datasets from geographic input datasets and calculating movement between origin-destination pairs with constrained, production-constrained, and attraction-constrained models (Wilson 1979) <doi:10.1068/a030001>.
License: AGPL (>= 3)
URL: https://github.com/robinlovelace/simodels, https://robinlovelace.github.io/simodels/
BugReports: https://github.com/robinlovelace/simodels/issues
Depends: R (>= 2.10)
Imports: dplyr, geodist, od (>= 0.4.0), rlang, sf
Suggests: ggplot2, knitr, minpack.lm, rmarkdown, tmap
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-06-13 22:56:18 UTC; robin
Author: Robin Lovelace [aut, cre] , Jakub Nowosad [aut]
Maintainer: Robin Lovelace <rob00x@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-15 07:10:02 UTC

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Package sandwich updated to version 3.0-2 with previous version 3.0-1 dated 2021-05-18

Title: Robust Covariance Matrix Estimators
Description: Object-oriented software for model-robust covariance matrix estimators. Starting out from the basic robust Eicker-Huber-White sandwich covariance methods include: heteroscedasticity-consistent (HC) covariances for cross-section data; heteroscedasticity- and autocorrelation-consistent (HAC) covariances for time series data (such as Andrews' kernel HAC, Newey-West, and WEAVE estimators); clustered covariances (one-way and multi-way); panel and panel-corrected covariances; outer-product-of-gradients covariances; and (clustered) bootstrap covariances. All methods are applicable to (generalized) linear model objects fitted by lm() and glm() but can also be adapted to other classes through S3 methods. Details can be found in Zeileis et al. (2020) <doi:10.18637/jss.v095.i01>, Zeileis (2004) <doi:10.18637/jss.v011.i10> and Zeileis (2006) <doi:10.18637/jss.v016.i09>.
Author: Achim Zeileis [aut, cre] , Thomas Lumley [aut], Nathaniel Graham [ctb], Susanne Koell [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between sandwich versions 3.0-1 dated 2021-05-18 and 3.0-2 dated 2022-06-15

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More information about sandwich at CRAN
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Package RcppArmadillo updated to version 0.11.2.0.0 with previous version 0.11.1.1.0 dated 2022-05-15

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'. Armadillo requires a C++11 compiler.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates, Binxiang Ni, and Conrad Sanderson
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 0.11.1.1.0 dated 2022-05-15 and 0.11.2.0.0 dated 2022-06-15

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 RcppArmadillo-0.11.2.0.0/RcppArmadillo/inst/include/armadillo_bits/fn_norm.hpp                             |   26 
 RcppArmadillo-0.11.2.0.0/RcppArmadillo/inst/include/armadillo_bits/fn_ones.hpp                             |   23 
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 RcppArmadillo-0.11.2.0.0/RcppArmadillo/inst/include/armadillo_bits/glue_kron_meat.hpp                      |   19 
 RcppArmadillo-0.11.2.0.0/RcppArmadillo/inst/include/armadillo_bits/glue_solve_meat.hpp                     |    2 
 RcppArmadillo-0.11.2.0.0/RcppArmadillo/inst/include/armadillo_bits/include_hdf5.hpp                        |   35 +
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 RcppArmadillo-0.11.2.0.0/RcppArmadillo/inst/include/armadillo_bits/memory.hpp                              |    2 
 RcppArmadillo-0.11.2.0.0/RcppArmadillo/inst/include/armadillo_bits/newarp_SparseGenRealShiftSolve_meat.hpp |    3 
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 RcppArmadillo-0.11.2.0.0/RcppArmadillo/inst/include/armadillo_bits/spop_norm_bones.hpp                     |    2 
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Package precommit updated to version 0.3.1 with previous version 0.3.0 dated 2022-05-20

Title: Pre-Commit Hooks
Description: Useful git hooks for R building on top of the multi-language framework 'pre-commit' for hook management. This package provides git hooks for common tasks like formatting files with 'styler' or spell checking as well as wrapper functions to access the 'pre-commit' executable.
Author: Lorenz Walthert
Maintainer: Lorenz Walthert <lorenz.walthert@icloud.com>

Diff between precommit versions 0.3.0 dated 2022-05-20 and 0.3.1 dated 2022-06-15

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 R/assert.R                                              |    2 
 R/release.R                                             |    2 
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 R/zzz.R                                                 |    4 +
 README.md                                               |    1 
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New package MissingPlotRBD with initial version 0.1.0
Package: MissingPlotRBD
Title: Missing Plot in RBD
Version: 0.1.0
Description: A system for Analysis of RBD when there is one missing observation. Methods for this process is described in A.M.Gun,M.K.Gupta,B.Dasgupta(2019,ISBN:81-87567-81-3).
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-13 22:06:59 UTC; USER
Author: Arnab Roy [aut, cre], Debarghya Baul [aut]
Maintainer: Arnab Roy <arnabroy7640@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-15 07:10:14 UTC

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New package LogisticCurveFitting with initial version 0.1.0
Package: LogisticCurveFitting
Title: Logistic Curve Fitting by Rhodes Method
Version: 0.1.0
Description: A system for fitting Logistic Curve by Rhodes Method. Method for fitting logistic curve by Rhodes Method is described in A.M.Gun,M.K.Gupta and B.Dasgupta(2019,ISBN:81-87567-81-3).
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-13 19:09:38 UTC; USER
Author: Debarghya Baul [aut, cre], Arnab Roy [aut]
Maintainer: Debarghya Baul <debarghyabaul@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-15 07:10:17 UTC

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New package dsims with initial version 0.2.3
Package: dsims
Depends: dssd (>= 0.2.2)
Imports: mrds, Distance, sf, sp, ggplot2, mgcv, rgeos, methods, rstudioapi, gridExtra, rlang
Suggests: testthat, parallel, pbapply, knitr, lwgeom, rmarkdown
VignetteBuilder: knitr
Title: Distance Sampling Simulations
Version: 0.2.3
Author: Laura Marshall <lhm@st-and.ac.uk>
Maintainer: Laura Marshall <lhm@st-and.ac.uk>
Description: Performs distance sampling simulations. 'dsims' repeatedly generates instances of a user defined population within a given survey region. It then generates realisations of a survey design and simulates the detection process. The data are then analysed so that the results can be compared for accuracy and precision across all replications. This process allows users to optimise survey designs for their specific set of survey conditions. The effects of uncertainty in population distribution or parameters can be investigated under a number of simulations so that users can be confident that they have achieved a robust survey design before deploying vessels into the field. The distance sampling designs used in this package from 'dssd' are detailed in Chapter 7 of Advanced Distance Sampling, Buckland et. al. (2008, ISBN-13: 978-0199225873). General distance sampling methods are detailed in Introduction to Distance Sampling: Estimating Abundance of Biological Populations, Buckland et. al. (2004, ISBN-13: 978-0198509271). Find out more about estimating animal/plant abundance with distance sampling at <http://distancesampling.org/>.
License: GPL (>= 2)
Language: en-GB
URL: https://github.com/DistanceDevelopment/dsims
BugReports: https://github.com/DistanceDevelopment/dsims/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-14 12:09:25 UTC; laura
Repository: CRAN
Date/Publication: 2022-06-15 07:30:02 UTC

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New package concom with initial version 1.0.0
Package: concom
Title: Connected Components of an Undirected Graph
Version: 1.0.0
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Description: Provides a function for fast computation of the connected components of an undirected graph (though not faster than the components() function of the 'igraph' package) from the edges or the adjacency matrix of the graph. Based on this one, a function to compute the connected components of a triangle 'rgl' mesh is also provided.
License: GPL-3
URL: https://github.com/stla/concom
BugReports: https://github.com/stla/concom/issues
Imports: english, Rcpp (>= 1.0.8), rgl, Rvcg
Suggests: rmarchingcubes
LinkingTo: BH, Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-06-14 09:24:00 UTC; SDL96354
Author: Stephane Laurent [cre, aut]
Repository: CRAN
Date/Publication: 2022-06-15 07:30:05 UTC

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New package cmhc with initial version 0.2.0
Package: cmhc
Title: Access, Retrieve, and Work with CMHC Data
Version: 0.2.0
Author: Jens von Bergmann
Maintainer: Jens von Bergmann <jens@mountainmath.ca>
Description: Wrapper around the Canadian Mortgage and Housing Corporation (CMHC) web interface. It enables programmatic and reproducible access to a wide variety of housing data from CMHC.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
ByteCompile: yes
NeedsCompilation: no
Depends: R (>= 4.1)
Imports: dplyr (>= 1.0), digest (>= 0.1), httr, readr, stringr, tibble, rlang, aws.s3
Suggests: knitr, scales, cancensus, ggplot2, tidyr, rmarkdown, sf
VignetteBuilder: knitr
URL: https://github.com/mountainMath/cmhc, https://mountainmath.github.io/cmhc/, https://www03.cmhc-schl.gc.ca/hmip-pimh/en
BugReports: https://github.com/mountainMath/cmhc/issues
Packaged: 2022-06-14 17:11:44 UTC; jens
Repository: CRAN
Date/Publication: 2022-06-15 08:00:02 UTC

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New package abjData with initial version 1.1.2
Package: abjData
Title: Databases Used Routinely by the Brazilian Jurimetrics Association
Version: 1.1.2
Description: The Brazilian Jurimetrics Association (ABJ in Portuguese, see <https://abj.org.br/> for more information) is a non-profit organization which aims to investigate and promote the use of statistics and probability in the study of Law and its institutions. This package has a set of datasets commonly used in our book.
Depends: R (>= 3.3.1)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://abjur.github.io/abjData/
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2022-06-14 00:23:12 UTC; julio
Author: Julio Trecenti [aut, cre] , Renata Hirota [ctb], Katerine Witkoski [aut] , Associacao Brasileira de Jurimetria [cph, fnd]
Maintainer: Julio Trecenti <julio.trecenti@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-15 07:20:05 UTC

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Package ecostats (with last version 1.1.8) was removed from CRAN

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

2022-05-30 1.1.8
2020-11-11 0.1.4

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Package cstar (with last version 1.0) was removed from CRAN

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2014-05-17 1.0

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Package dropR (with last version 0.1) was removed from CRAN

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

2015-01-02 0.1

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Package introgress (with last version 1.2.3) was removed from CRAN

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

2010-03-25 1.2.3
2010-01-23 1.2.2
2009-10-20 1.2.1
2009-09-07 1.2
2009-03-08 1.1
2009-02-25 1.0

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Package hcc (with last version 0.54) was removed from CRAN

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2013-03-23 0.54

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Package mvc (with last version 1.3) was removed from CRAN

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

2014-02-24 1.3
2012-08-03 1.2
2012-08-01 1.1
2012-07-16 1.0

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Package hazus (with last version 0.1) was removed from CRAN

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2014-06-18 0.1

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Package edgeRun (with last version 1.0.9) was removed from CRAN

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

2014-09-19 1.0.9
2014-09-18 1.0.8
2014-08-13 1.0.7

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Package iFad (with last version 3.0) was removed from CRAN

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2014-03-27 3.0

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Package jtrans (with last version 0.2.1) was removed from CRAN

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

2015-03-18 0.2.1
2013-07-24 0.1

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Package informR (with last version 1.0-5) was removed from CRAN

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2015-03-09 1.0-5
2012-04-07 1.0.04
2011-12-22 1.0.03
2011-08-30 1.0.01
2011-07-05 1.0.0

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

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2015-01-29 1.0.0

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Package lllcrc (with last version 1.2) was removed from CRAN

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2014-10-05 1.2
2014-03-12 1.1
2014-01-07 1.0

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Package frontiles (with last version 1.2) was removed from CRAN

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2013-11-25 1.2
2012-07-17 1.1

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Package hydroApps (with last version 0.1-1) was removed from CRAN

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2014-05-14 0.1-1
2013-09-18 0.0-1

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Package exptest (with last version 1.2) was removed from CRAN

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2013-12-01 1.2
2013-09-16 1.1
2011-12-13 1.0

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

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2013-10-23 2.0
2013-03-31 1.1
2013-03-29 1.0

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Package neuRosim (with last version 0.2-12) was removed from CRAN

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2015-01-10 0.2-12

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Package lsdv (with last version 1.1) was removed from CRAN

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2014-03-24 1.1
2013-07-20 1.0

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Package crossReg (with last version 1.0) was removed from CRAN

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2014-07-09 1.0

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Package strucchange updated to version 1.5-3 with previous version 1.5-2 dated 2019-10-12

Title: Testing, Monitoring, and Dating Structural Changes
Description: Testing, monitoring and dating structural changes in (linear) regression models. strucchange features tests/methods from the generalized fluctuation test framework as well as from the F test (Chow test) framework. This includes methods to fit, plot and test fluctuation processes (e.g., CUSUM, MOSUM, recursive/moving estimates) and F statistics, respectively. It is possible to monitor incoming data online using fluctuation processes. Finally, the breakpoints in regression models with structural changes can be estimated together with confidence intervals. Emphasis is always given to methods for visualizing the data.
Author: Achim Zeileis [aut, cre] , Friedrich Leisch [aut], Kurt Hornik [aut], Christian Kleiber [aut], Bruce Hansen [ctb], Edgar C. Merkle [ctb], Nikolaus Umlauf [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between strucchange versions 1.5-2 dated 2019-10-12 and 1.5-3 dated 2022-06-15

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Package NonCompart updated to version 0.5.1 with previous version 0.5.0 dated 2022-02-26

Title: Noncompartmental Analysis for Pharmacokinetic Data
Description: Conduct a noncompartmental analysis with industrial strength. Some features are 1) Use of CDISC SDTM terms 2) Automatic or manual slope selection 3) Supporting both 'linear-up linear-down' and 'linear-up log-down' method 4) Interval(partial) AUCs with 'linear' or 'log' interpolation method * Reference: Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications. 5th ed. 2016. (ISBN:9198299107).
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>

Diff between NonCompart versions 0.5.0 dated 2022-02-26 and 0.5.1 dated 2022-06-15

 DESCRIPTION                    |    8 ++++----
 MD5                            |    9 +++++----
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Package mwTensor updated to version 0.99.6 with previous version 0.99.5 dated 2021-10-12

Title: Multi-Way Component Analysis
Description: For single tensor data, any matrix factorization method can be specified the matricised tensor in each dimension by Multi-way Component Analysis (MWCA). An originally extended MWCA is also implemented to specify and decompose multiple matrices and tensors simultaneously (CoupledMWCA). See the reference section of GitHub README.md <https://github.com/rikenbit/mwTensor>, for details of the methods.
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

Diff between mwTensor versions 0.99.5 dated 2021-10-12 and 0.99.6 dated 2022-06-15

 DESCRIPTION       |   10 +++++-----
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 build/partial.rdb |binary
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Package melt updated to version 1.5.2 with previous version 1.5.1 dated 2022-05-06

Title: Multiple Empirical Likelihood Tests
Description: Performs multiple empirical likelihood tests for linear and generalized linear models. The core computational routines are implemented using the 'Eigen' C++ library and 'RcppEigen' interface, with OpenMP for parallel computation. Details of multiple testing procedures are given in Kim et al. (2021) <arxiv:2112.09206>.
Author: Eunseop Kim [aut, cre], Steven MacEachern [aut, ths], Mario Peruggia [aut, ths]
Maintainer: Eunseop Kim <kim.7302@osu.edu>

Diff between melt versions 1.5.1 dated 2022-05-06 and 1.5.2 dated 2022-06-15

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New package IIProductionUnknown with initial version 0.0.1
Package: IIProductionUnknown
Title: Analyzing Data Through of Percentage of Importance Indice (Production Unknown) and Its Derivations
Version: 0.0.1
Description: The Importance Index (I.I.) can determine the loss and solution sources for a system in certain knowledge areas (e.g., agronomy), when production (e.g., fruits) is known (Demolin-Leite, 2021). Events (e.g., agricultural pest) can have different magnitudes (numerical measurements), frequencies, and distributions (aggregate, random, or regular) of event occurrence, and I.I. bases in this triplet (Demolin-Leite, 2021) <https://cjascience.com/index.php/CJAS/article/view/1009/1319>. Usually, the higher the magnitude and frequency of aggregated distribution, the greater the problem or the solution (e.g., natural enemies versus pests) for the system (Demolin-Leite, 2021). However, the final production of the system is not always known or is difficult to determine (e.g., degraded area recovery). A derivation of the I.I. is the percentage of Importance Index-Production Unknown (% I.I.-PU) that can detect the loss or solution sources, when production is unknown for the system (Demolin-Leite, 2024) <DOI:10.1590/1519-6984.253218>.
License: GPL-3
Depends: crayon
Encoding: UTF-8
Language: en-US
LazyData: false
NeedsCompilation: no
Packaged: 2022-06-13 11:50:26 UTC; Alcinei
Author: Germano Leao Demolin-Leite [aut] , Alcinei Mistico Azevedo [aut, cre]
Maintainer: Alcinei Mistico Azevedo <alcineimistico@hotmail.com>
Repository: CRAN
Date/Publication: 2022-06-15 07:00:02 UTC

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Package AgroR updated to version 1.3.0 with previous version 1.2.9 dated 2022-04-06

Title: Experimental Statistics and Graphics for Agricultural Sciences
Description: Performs the analysis of completely randomized experimental designs (CRD), randomized blocks (RBD) and Latin square (LSD), experiments in double and triple factorial scheme (in CRD and RBD), experiments in subdivided plot scheme (in CRD and RBD), subdivided and joint analysis of experiments in CRD and RBD, linear regression analysis, test for two samples. The package performs analysis of variance, ANOVA assumptions and multiple comparison test of means or regression, according to Pimentel-Gomes (2009, ISBN: 978-85-7133-055-9), nonparametric test (Conover, 1999, ISBN: 0471160687), test for two samples, joint analysis of experiments according to Ferreira (2018, ISBN: 978-85-7269-566-4) and generalized linear model (glm) for binomial and Poisson family in CRD and RBD (Carvalho, FJ (2019), <doi:10.14393/ufu.te.2019.1244>). It can also be used to obtain descriptive measures and graphics, in addition to correlations and creative graphics used in agricultural sciences (Agronomy, Zootechnics, Food Science and related areas).
Author: Gabriel Danilo Shimizu [aut, cre] , Rodrigo Yudi Palhaci Marubayashi [aut, ctb] , Leandro Simoes Azeredo Goncalves [aut, ctb]
Maintainer: Gabriel Danilo Shimizu <shimizu@uel.br>

Diff between AgroR versions 1.2.9 dated 2022-04-06 and 1.3.0 dated 2022-06-15

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 R/ibarplot_double.R     |only
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 R/sk_graph_function.R   |    2 +-
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 man/logistic.Rd         |    2 +-
 man/sketch.Rd           |    2 +-
 27 files changed, 133 insertions(+), 68 deletions(-)

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Package SCORER2 (with last version 0.99.0) was removed from CRAN

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2014-01-17 0.99.0

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2014-07-05 1.3.0
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2012-10-01 1.0

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2014-08-27 0.0-67
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Package WilcoxCV (with last version 1.0-2) was removed from CRAN

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2009-05-29 1.0-2
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2013-12-10 0.3
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2015-03-03 0.2-2
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2015-04-14 1.0

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2013-04-10 1.0

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2015-04-15 0.1

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2015-04-15 1.0.1

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2015-03-10 1.1
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Package binomialcftp (with last version 1.0) was removed from CRAN

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2012-09-20 1.0

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2014-03-06 1.0

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2015-06-03 0.4-2
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Package FieldSim (with last version 3.2.1) was removed from CRAN

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2015-03-03 3.2.1
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2010-06-16 3.1.2
2010-04-23 3.1
2009-10-05 2.1
2007-11-20 1.2
2007-09-13 1.1

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Package EILA (with last version 0.1-2) was removed from CRAN

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2013-09-14 0.1-2
2013-09-12 0.1-1

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Package MILC (with last version 1.0) was removed from CRAN

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2014-04-24 1.0

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Package GetR (with last version 0.1) was removed from CRAN

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2013-02-17 0.1

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Package GaDiFPT (with last version 1.0) was removed from CRAN

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2015-02-17 1.0

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Package fitTetra (with last version 1.0) was removed from CRAN

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2013-05-28 1.0

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