Wed, 20 Jul 2022

Package partitions updated to version 1.10-7 with previous version 1.10-4 dated 2021-10-23

Title: Additive Partitions of Integers
Description: Additive partitions of integers. Enumerates the partitions, unequal partitions, and restricted partitions of an integer; the three corresponding partition functions are also given. Set partitions and now compositions and riffle shuffles are included.
Author: Robin K. S. Hankin [aut, cre] , Paul Egeler [ctb]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between partitions versions 1.10-4 dated 2021-10-23 and 1.10-7 dated 2022-07-20

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Package phenocamr updated to version 1.1.5 with previous version 1.1.4 dated 2020-03-22

Title: Facilitates 'PhenoCam' Data Access and Time Series Post-Processing
Description: Programmatic interface to the 'PhenoCam' web services (<https://phenocam.nau.edu/webcam>). Allows for easy downloading of 'PhenoCam' data directly to your R workspace or your computer and provides post-processing routines for consistent and easy timeseries outlier detection, smoothing and estimation of phenological transition dates. Methods for this package are described in detail in Hufkens et. al (2018) <doi:10.1111/2041-210X.12970>.
Author: Koen Hufkens [aut, cre] , BlueGreen Labs [cph, fnd]
Maintainer: Koen Hufkens <koen.hufkens@gmail.com>

Diff between phenocamr versions 1.1.4 dated 2020-03-22 and 1.1.5 dated 2022-07-20

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Package npreg updated to version 1.0-9 with previous version 1.0-8 dated 2022-03-31

Title: Nonparametric Regression via Smoothing Splines
Description: Multiple and generalized nonparametric regression using smoothing spline ANOVA models and generalized additive models, as described in Helwig (2020) <doi:10.4135/9781526421036885885>. Includes support for Gaussian and non-Gaussian responses, smoothers for multiple types of predictors, interactions between smoothers of mixed types, eight different methods for smoothing parameter selection, and flexible tools for prediction and inference.
Author: Nathaniel E. Helwig <helwig@umn.edu>
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

Diff between npreg versions 1.0-8 dated 2022-03-31 and 1.0-9 dated 2022-07-20

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Package toxpiR updated to version 1.2.1 with previous version 1.0.3 dated 2022-02-18

Title: Create ToxPi Prioritization Models
Description: Enables users to build 'ToxPi' prioritization models and provides functionality within the grid framework for plotting ToxPi graphs. 'toxpiR' allows for more customization than the 'ToxPi GUI' (<https://toxpi.org>) and integration into existing workflows for greater ease-of-use, reproducibility, and transparency. toxpiR package behaves nearly identically to the GUI; the package documentation includes notes about all differences. The vignettes download example files from <https://github.com/ToxPi/ToxPi-example-files>.
Author: Dayne L Filer [aut, cre, fnd] , Dillon T Lloyd [aut], Preethi Thunga [aut] , Skylar W Marvel [aut], Alison A Motsinger-Reif [fnd] , David M Reif [aut, fnd]
Maintainer: Dayne L Filer <dayne.filer@gmail.com>

Diff between toxpiR versions 1.0.3 dated 2022-02-18 and 1.2.1 dated 2022-07-20

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Package ggtikz updated to version 0.1.1 with previous version 0.1.0 dated 2021-11-04

Title: Post-Process 'ggplot2' Plots with 'TikZ' Code Using Plot Coordinates
Description: Annotation of 'ggplot2' plots with arbitrary 'TikZ' code, using absolute data or relative plot coordinates.
Author: Oliver Thomas [aut, cre]
Maintainer: Oliver Thomas <oliver.thomas@sgbm.uni-freiburg.de>

Diff between ggtikz versions 0.1.0 dated 2021-11-04 and 0.1.1 dated 2022-07-20

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Package binsegRcpp updated to version 2022.7.19 with previous version 2022.1.24 dated 2022-01-26

Title: Efficient Implementation of Binary Segmentation
Description: Standard template library containers are used to implement an efficient binary segmentation algorithm, which is log-linear on average and quadratic in the worst case.
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

Diff between binsegRcpp versions 2022.1.24 dated 2022-01-26 and 2022.7.19 dated 2022-07-20

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Package MazamaCoreUtils updated to version 0.4.12 with previous version 0.4.10 dated 2021-11-11

Title: Utility Functions for Production R Code
Description: A suite of utility functions providing functionality commonly needed for production level projects such as logging, error handling, cache management and date-time parsing. Functions for date-time parsing and formatting require that time zones be specified explicitly, avoiding a common source of error when working with environmental time series.
Author: Jonathan Callahan [aut, cre], Eli Grosman [ctb], Spencer Pease [ctb], Thomas Bergamaschi [ctb]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

Diff between MazamaCoreUtils versions 0.4.10 dated 2021-11-11 and 0.4.12 dated 2022-07-20

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Package aroma.cn updated to version 1.7.0 with previous version 1.6.1 dated 2015-10-27

Title: Copy-Number Analysis of Large Microarray Data Sets
Description: Methods for analyzing DNA copy-number data. Specifically, this package implements the multi-source copy-number normalization (MSCN) method for normalizing copy-number data obtained on various platforms and technologies. It also implements the TumorBoost method for normalizing paired tumor-normal SNP data.
Author: Henrik Bengtsson [aut, cre, cph], Pierre Neuvial [aut]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between aroma.cn versions 1.6.1 dated 2015-10-27 and 1.7.0 dated 2022-07-20

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 aroma.cn-1.7.0/aroma.cn/R/C1C2.R                                                                        |   46 
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 aroma.cn-1.7.0/aroma.cn/R/MultiSourceCopyNumberNormalization.XTRAS.R                                    |  273 
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 aroma.cn-1.7.0/aroma.cn/R/PairedPSCBS.BOOT.R                                                            | 1286 ++--
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 aroma.cn-1.7.0/aroma.cn/R/PairedPSCBS.NORM.R                                                            |  600 +-
 aroma.cn-1.7.0/aroma.cn/R/PairedPSCBS.PLOT3.R                                                           |   63 
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 aroma.cn-1.7.0/aroma.cn/R/PairedPSCBS.findAtomicAberrations.R                                           |  194 
 aroma.cn-1.7.0/aroma.cn/R/PairedPSCBS.fitC1C2Peaks.R                                                    |  120 
 aroma.cn-1.7.0/aroma.cn/R/PairedPSCBSFile.R                                                             |   46 
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 aroma.cn-1.7.0/aroma.cn/R/PairedPscbsModel.R                                                            | 1190 +---
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 aroma.cn-1.7.0/aroma.cn/R/PolarSnpData.R                                                                |   46 
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 aroma.cn-1.7.0/aroma.cn/R/PrincipalCurveNormalization.R                                                 |   33 
 aroma.cn-1.7.0/aroma.cn/R/PruneCNA.EXTS.R                                                               |   57 
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 aroma.cn-1.7.0/aroma.cn/R/RawAlleleBFractions.XTRAS.R                                                   |   49 
 aroma.cn-1.7.0/aroma.cn/R/RawGenotypeCalls.R                                                            |   49 
 aroma.cn-1.7.0/aroma.cn/R/SnpData.R                                                                     |   22 
 aroma.cn-1.7.0/aroma.cn/R/TotalCnBinnedSmoothing.R                                                      |   71 
 aroma.cn-1.7.0/aroma.cn/R/TotalCnKernelSmoothing.R                                                      |   91 
 aroma.cn-1.7.0/aroma.cn/R/TotalCnSmoothing.R                                                            |  850 +-
 aroma.cn-1.7.0/aroma.cn/R/TotalFracBSnpData.R                                                           |  108 
 aroma.cn-1.7.0/aroma.cn/R/TumorBoostNormalization.R                                                     | 1021 +--
 aroma.cn-1.7.0/aroma.cn/R/XYCurveNormalization.R                                                        |   14 
 aroma.cn-1.7.0/aroma.cn/R/calculatePairedPSCNByGenotype.R                                               |  224 
 aroma.cn-1.7.0/aroma.cn/R/callXXorXY.numeric.R                                                          |   67 
 aroma.cn-1.7.0/aroma.cn/R/cnr.R                                                                         |   40 
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 aroma.cn-1.7.0/aroma.cn/R/normalizeMirroredBAFsByRegions.R                                              |  110 
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 aroma.cn-1.7.0/aroma.cn/R/principal.curve.pairs2.R                                                      |   44 
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 aroma.cn-1.7.0/aroma.cn/R/segmentByPruneCBS.R                                                           |  799 +-
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 aroma.cn-1.7.0/aroma.cn/R/utils.R                                                                       |only
 aroma.cn-1.7.0/aroma.cn/R/zzz.R                                                                         |   22 
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 aroma.cn-1.7.0/aroma.cn/inst/testScripts/system/tracks/utils.R                                          |    2 
 aroma.cn-1.7.0/aroma.cn/man/AbstractCurveNormalization.Rd                                               |    2 
 aroma.cn-1.7.0/aroma.cn/man/MultiSourceCopyNumberNormalization.Rd                                       |   10 
 aroma.cn-1.7.0/aroma.cn/man/PairedPscbsModel.Rd                                                         |    2 
 aroma.cn-1.7.0/aroma.cn/man/PrincipalCurveNormalization.Rd                                              |    2 
 aroma.cn-1.7.0/aroma.cn/man/TotalCnBinnedSmoothing.Rd                                                   |    2 
 aroma.cn-1.7.0/aroma.cn/man/TotalCnKernelSmoothing.Rd                                                   |    2 
 aroma.cn-1.7.0/aroma.cn/man/TotalCnSmoothing.Rd                                                         |    2 
 aroma.cn-1.7.0/aroma.cn/man/TumorBoostNormalization.Rd                                                  |    2 
 aroma.cn-1.7.0/aroma.cn/man/XYCurveNormalization.Rd                                                     |    2 
 aroma.cn-1.7.0/aroma.cn/man/aroma.cn-package.Rd                                                         |    4 
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Package optparse updated to version 1.7.3 with previous version 1.7.1 dated 2021-10-08

Title: Command Line Option Parser
Description: A command line parser inspired by Python's 'optparse' library to be used with Rscript to write "#!" shebang scripts that accept short and long flag/options.
Author: Trevor L Davis [aut, cre] , Allen Day [ctb] , Python Software Foundation [ctb] , Steve Lianoglou [ctb], Jim Nikelski [ctb], Kirill Mueller [ctb], Peter Humburg [ctb], Rich FitzJohn [ctb], Gyu Jin Choi [ctb]
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

Diff between optparse versions 1.7.1 dated 2021-10-08 and 1.7.3 dated 2022-07-20

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Package ggarchery updated to version 0.3.0 with previous version 0.2.0 dated 2022-02-25

Title: Flexible Segment Geoms with Arrows for 'ggplot2'
Description: Geoms for placing arrowheads at multiple points along a segment, not just at the end; position function to shift starts and ends of arrows to avoid exactly intersecting points.
Author: Matthew Hall [aut, cre]
Maintainer: Matthew Hall <matthew.hall@bdi.ox.ac.uk>

Diff between ggarchery versions 0.2.0 dated 2022-02-25 and 0.3.0 dated 2022-07-20

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 README.md                      |   19 +++++++++++++------
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Package devtools updated to version 2.4.4 with previous version 2.4.3 dated 2021-11-30

Title: Tools to Make Developing R Packages Easier
Description: Collection of package development tools.
Author: Hadley Wickham [aut], Jim Hester [aut], Winston Chang [aut], Jennifer Bryan [aut, cre] , RStudio [cph, fnd]
Maintainer: Jennifer Bryan <jenny@rstudio.com>

Diff between devtools versions 2.4.3 dated 2021-11-30 and 2.4.4 dated 2022-07-20

 devtools-2.4.3/devtools/man/devtools.Rd                                               |only
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 devtools-2.4.4/devtools/MD5                                                           |  133 +++--
 devtools-2.4.4/devtools/NAMESPACE                                                     |    4 
 devtools-2.4.4/devtools/NEWS.md                                                       |   20 
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New package promor with initial version 0.1.0
Package: promor
Title: Proteomics Data Analysis and Modeling Tools
Version: 0.1.0
Description: A comprehensive, user-friendly package for label-free proteomics data analysis and machine learning-based modeling. Data generated from 'MaxQuant' can be easily used to conduct differential expression analysis, build predictive models with top protein candidates, and assess model performance. promor includes a suite of tools for quality control, visualization, missing data imputation (Lazar et. al. (2016) <doi:10.1021/acs.jproteome.5b00981>), differential expression analysis (Ritchie et. al. (2015) <doi:10.1093/nar/gkv007>), and machine learning-based modeling (Kuhn (2008) <doi:10.18637/jss.v028.i05>).
License: LGPL (>= 2.1)
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
URL: https://github.com/caranathunge/promor, https://caranathunge.github.io/promor/
Imports: reshape2, ggplot2, ggrepel, gridExtra, limma, statmod, pcaMethods, VIM, missForest, caret, kernlab, xgboost, viridis, pROC
LazyData: true
BugReports: https://github.com/caranathunge/promor/issues
NeedsCompilation: no
Packaged: 2022-07-19 20:40:22 UTC; ranathca
Author: Chathurani Ranathunge [aut, cre, cph]
Maintainer: Chathurani Ranathunge <caranathunge86@gmail.com>
Repository: CRAN
Date/Publication: 2022-07-20 17:30:02 UTC

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New package lnmCluster with initial version 0.3.1
Package: lnmCluster
Title: Perform Logistic Normal Multinomial Clustering for Microbiome Compositional Data
Version: 0.3.1
Maintainer: Wangshu Tu <wangshu.tu@carleton.ca>
Description: An implementation of logistic normal multinomial (LNM) clustering. It is an extension of LNM mixture model proposed by Fang and Subedi (2020) <arXiv:2011.06682>, and is designed for clustering compositional data. The package includes 3 extended models: LNM Factor Analyzer (LNM-FA), LNM Bicluster Mixture Model (LNM-BMM) and Penalized LNM Factor Analyzer (LNM-FA). There are several advantages of LNM models: 1. LNM provides more flexible covariance structure; 2. Factor analyzer can reduce the number of parameters to estimate; 3. Bicluster can simultaneously cluster subjects and taxa, and provides significant biological insights; 4. Penalty term allows sparse estimation in the covariance matrix. Details for model assumptions and interpretation can be found in papers: Tu and Subedi (2021) <arXiv:2101.01871> and Tu and Subedi (2022) <doi:10.1002/sam.11555>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: mclust, foreach, MASS, stringr, gtools, pgmm, utils
Suggests: knitr, rmarkdown, testthat, mvtnorm
VignetteBuilder: knitr
Depends: R (>= 3.50)
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2022-07-19 19:53:07 UTC; wangshutu
Author: Wangshu Tu [aut, cre], Sanjeena Dang [aut], Yuan Fang [aut]
Repository: CRAN
Date/Publication: 2022-07-20 17:50:02 UTC

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New package giedata with initial version 0.1.0
Package: giedata
Title: API Wrapper for GIE's AGSI+/ALSI+ Natural Gas Storage Transparency Platform
Version: 0.1.0
Description: Functions to access the API for Gas Infrastructure Europe's (GIE) AGSI+/ALSI+ natural gas storage transparency platform (<https://agsi.gie.eu/> and <https://alsi.gie.eu/>). Lets the user easily download metadata on companies and gas storage units covered by the API as well as the respective data on regional, country, company or facility level.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, httr, lubridate, magrittr, purrr
Suggests: vcr (>= 0.6.0), testthat
NeedsCompilation: no
Packaged: 2022-07-20 15:53:29 UTC; Nutzer
Author: Yannik Buhl [aut, cre]
Maintainer: Yannik Buhl <ybuhl@posteo.de>
Repository: CRAN
Date/Publication: 2022-07-20 17:50:04 UTC

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Package ggdensity updated to version 0.1.0 with previous version 0.0.1 dated 2022-02-15

Title: Interpretable Bivariate Density Visualization with 'ggplot2'
Description: The 'ggplot2' package provides simple functions for visualizing contours of 2-d kernel density estimates. 'ggdensity' implements several additional density estimators as well as more interpretable visualizations based on highest density regions instead of the traditional height of the estimated density surface.
Author: James Otto [aut, cre] , David Kahle [aut]
Maintainer: James Otto <jamesotto852@gmail.com>

Diff between ggdensity versions 0.0.1 dated 2022-02-15 and 0.1.0 dated 2022-07-20

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New package cito with initial version 1.0.0
Package: cito
Date: 2022-07-17
Title: Building and Training Neural Networks
Version: 1.0.0
Description: Building and training custom neural networks in the typical R syntax. The 'torch' package is used for numerical calculations, which allows for training on CPU as well as on a graphics card.
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: coro, checkmate, torch
License: GPL (>= 3)
Suggests: rmarkdown, knitr, testthat, plotly, ggraph, igraph, ggplot2
VignetteBuilder: knitr
BugReports: https://github.com/citoverse/cito/issues
NeedsCompilation: no
Packaged: 2022-07-19 06:32:03 UTC; chris
Author: Christian Amesoeder [aut, cre], Maximilian Pichler [aut]
Maintainer: Christian Amesoeder <Christian.Amesoeder@stud.uni-regensburg.de>
Repository: CRAN
Date/Publication: 2022-07-20 17:10:02 UTC

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New package activAnalyzer with initial version 1.0.4
Package: activAnalyzer
Title: A 'Shiny' App to Analyze Accelerometer-Measured Daily Physical Behavior Data
Version: 1.0.4
Description: A tool to analyse 'ActiGraph' accelerometer data and to implement the use of the PROactive Physical Activity in COPD (chronic obstructive pulmonary disease) instruments. Once analysis is completed, the app allows to export results to .csv files and to generate a report of the measurement. All the configured inputs relevant for interpreting the results are recorded in the report. In addition to the existing 'R' packages that are fully integrated with the app, the app uses some functions from the 'actigraph.sleepr' package developed by Petkova (2021) <https://github.com/dipetkov/actigraph.sleepr/>.
License: GPL (>= 3)
Imports: dbplyr (>= 2.1.1), dplyr (>= 1.0.7), flextable (>= 0.6.10), forcats (>= 0.5.1), ggplot2 (>= 3.3.5), golem (>= 0.3.1), hms (>= 1.1.1), lubridate (>= 1.8.0), magrittr, modelr (>= 0.1.8), patchwork (>= 1.1.1), PhysicalActivity, reactable (>= 0.2.3), rmarkdown (>= 2.11), RSQLite, shiny (>= 1.6.0), shinycssloaders (>= 1.0.0), shinydashboard (>= 0.7.2), shinydashboardPlus (>= 2.0.3), shinyFeedback (>= 0.4.0), shinyjs (>= 2.0.0), stringr (>= 1.4.0), tidyr (>= 1.1.4), zoo
Encoding: UTF-8
URL: https://pydemull.github.io/activAnalyzer/, https://github.com/pydemull/activAnalyzer
BugReports: https://github.com/pydemull/activAnalyzer/issues
Suggests: shinytest, covr, knitr, spelling, testthat (>= 3.0.0), processx, globals, config, tidyselect, DBI, assertthat, htmltools, officer, pkgload, scales, tibble, rlang, tinytex
Language: en-US
Depends: R (>= 3.4.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-07-19 15:35:14 UTC; pydemullenheim
Author: Pierre-Yves de Muellenheim [cre, aut]
Maintainer: Pierre-Yves de Muellenheim <pydemull@uco.fr>
Repository: CRAN
Date/Publication: 2022-07-20 17:20:02 UTC

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Package tergmLite updated to version 2.6.1 with previous version 2.5.5 dated 2021-11-11

Title: Fast Simulation of Simple Temporal Exponential Random Graph Models
Description: Provides functions for the computationally efficient simulation of dynamic networks estimated with the statistical framework of temporal exponential random graph models, implemented in the 'tergm' package.
Author: Samuel M. Jenness [aut, cre], Chad Klumb [aut]
Maintainer: Samuel M. Jenness <samuel.m.jenness@emory.edu>

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Package sitar updated to version 1.3.0 with previous version 1.2.0 dated 2021-04-22

Title: Super Imposition by Translation and Rotation Growth Curve Analysis
Description: Functions for fitting and plotting SITAR (Super Imposition by Translation And Rotation) growth curve models. SITAR is a shape-invariant model with a regression B-spline mean curve and subject-specific random effects on both the measurement and age scales. The model was first described by Lindstrom (1995) <doi:10.1002/sim.4780141807> and developed as the SITAR method by Cole et al (2010) <doi:10.1093/ije/dyq115>.
Author: Tim Cole [aut, cre]
Maintainer: Tim Cole <tim.cole@ucl.ac.uk>

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Package RItools updated to version 0.3-0 with previous version 0.1-18 dated 2022-02-28

Title: Randomization Inference Tools
Description: Tools for randomization-based inference. Current focus is on the d^2 omnibus test of differences of means following Hansen and Bowers (2008) <doi:10.1214/08-STS254> . This test is useful for assessing balance in matched observational studies or for analysis of outcomes in block-randomized experiments.
Author: Jake Bowers [aut, cre], Mark Fredrickson [aut], Ben Hansen [aut], Josh Errickson [ctb]
Maintainer: Jake Bowers <jwbowers@illinois.edu>

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Package rdaisi updated to version 0.1.3 with previous version 0.1.2 dated 2022-07-05

Title: R Client for the Daisi Microservice Platform
Description: Connect, execute, and parse results from the Daisi Microservice Platform <https://www.daisi.io/>. The rdaisi client includes a set of functionality that allows remote execution of microservices directly from R. Daisis allow R users to access a wide variety of Python functionality and interact with them natively.
Author: Daisi Technology, Inc. [aut], Jean-Marie Laigle [aut], Eric Hare [aut, cre]
Maintainer: Eric Hare <eric.hare@daisi.io>

Diff between rdaisi versions 0.1.2 dated 2022-07-05 and 0.1.3 dated 2022-07-20

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New package RadOnc with initial version 1.1.7
Package: RadOnc
Title: Analytical Tools for Radiation Oncology
Version: 1.1.7
Date: 2022-07-19
Author: Reid F. Thompson <reid.thompson@gmail.com>
Maintainer: Reid F. Thompson <reid.thompson@gmail.com>
Imports: stats, utils
Depends: R (>= 3.0.0), graphics, grDevices, methods, oro.dicom (>= 0.5.0), ptinpoly
Description: Designed for the import, analysis, and visualization of dosimetric and volumetric data in Radiation Oncology, the tools herein enable import of dose-volume histogram information from multiple treatment planning system platforms and 3D structural representations and dosimetric information from 'DICOM-RT' files. These tools also enable subsequent visualization and statistical analysis of these data.
License: GPL (>= 2)
LazyData: yes
LazyLoad: yes
NeedsCompilation: no
Packaged: 2022-07-19 22:53:12 UTC; thompsre
Repository: CRAN
Date/Publication: 2022-07-20 15:50:08 UTC

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New package org with initial version 2022.7.21
Package: org
Title: Organising Projects
Version: 2022.7.21
Description: A system to help you organize projects. Most analyses have three (or more) main sections: code, results, and data, each with different requirements (version control/sharing/encryption). You provide folder locations and 'org' helps you take care of the details.
Depends: R (>= 3.3.0)
License: MIT + file LICENSE
URL: https://docs.sykdomspulsen.no/org/, https://github.com/sykdomspulsen-org/org
BugReports: https://github.com/sykdomspulsen-org/org/issues
Encoding: UTF-8
Suggests: testthat, knitr, rmarkdown, rstudioapi, glue
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-07-20 05:11:25 UTC; RIWH
Author: Richard Aubrey White [aut, cre] , Folkehelseinstituttet [cph]
Maintainer: Richard Aubrey White <hello@rwhite.no>
Repository: CRAN
Date/Publication: 2022-07-20 15:50:02 UTC

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New package mallet with initial version 1.3.0
Package: mallet
Title: An R Wrapper for the Java Mallet Topic Modeling Toolkit
Version: 1.3.0
Date: 2022-07-19
Maintainer: Måns Magnusson <mons.magnusson@gmail.com>
Description: An R interface for the Java Machine Learning for Language Toolkit (mallet) <http://mallet.cs.umass.edu/> to estimate probabilistic topic models, such as Latent Dirichlet Allocation. We can use the R package to read textual data into mallet from R objects, run the Java implementation of mallet directly in R, and extract results as R objects. The Mallet toolkit has many functions, this wrapper focuses on the topic modeling sub-package written by David Mimno. The package uses the rJava package to connect to a JVM.
License: MIT + file LICENSE
URL: https://github.com/mimno/RMallet
BugReports: https://github.com/mimno/RMallet/issues
SystemRequirements: java
Encoding: UTF-8
Depends: R (>= 3.6.3)
Imports: rJava, checkmate
Suggests: knitr, rmarkdown, dplyr, testthat
VignetteBuilder: rmarkdown, knitr
LazyData: TRUE
NeedsCompilation: no
Packaged: 2022-07-19 14:10:22 UTC; mansmagnusson
Author: Måns Magnusson [cre, aut] , David Mimno [aut, cph]
Repository: CRAN
Date/Publication: 2022-07-20 15:50:05 UTC

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New package geneticae with initial version 0.4.0
Package: geneticae
Title: Statistical Tools for the Analysis of Multi Environment Agronomic Trials
Version: 0.4.0
Description: Data from multi environment agronomic trials, which are often carried out by plant breeders, can be analyzed with the tools offered by this package such as the Additive Main effects and Multiplicative Interaction model or 'AMMI' ('Gauch' 1992, ISBN:9780444892409) and the Site Regression model or 'SREG' ('Cornelius' 1996, <doi:10.1201/9780367802226>). Since these methods present a poor performance under the presence of outliers and missing values, this package includes robust versions of the 'AMMI' model ('Rodrigues' 2016, <doi:10.1093/bioinformatics/btv533>), and also imputation techniques specifically developed for this kind of data ('Arciniegas-Alarcón' 2014, <doi:10.2478/bile-2014-0006>).
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: stats, GGEBiplots, ggforce, ggplot2, scales, MASS, pcaMethods, rrcov, dplyr, missMDA, calibrate, graphics, reshape2, matrixStats, tidyr, prettydoc, rlang
Suggests: agridat, spelling, knitr, rmarkdown, testthat
VignetteBuilder: knitr
Depends: R (>= 2.12.0)
URL: https://jangelini.github.io/geneticae/
BugReports: https://github.com/jangelini/geneticae/issues
Language: en-US
NeedsCompilation: no
Packaged: 2022-07-20 12:32:08 UTC; julia-fedora
Author: Julia Angelini [aut, cre] , Marcos Prunello [aut] , Gerardo Cervigni [aut]
Maintainer: Julia Angelini <jangelini_93@hotmail.com>
Repository: CRAN
Date/Publication: 2022-07-20 15:40:06 UTC

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Package educationdata updated to version 0.1.2 with previous version 0.1.1 dated 2021-05-31

Title: Retrieve Records from the Urban Institute's Education Data Portal API
Description: Allows R users to retrieve and parse data from the Urban Institute's Education Data API <https://educationdata.urban.org/> into a 'data.frame' for analysis.
Author: Erika Tyagi [cre], Kyle Ueyama [aut], The Urban Institute [cph]
Maintainer: Erika Tyagi <etyagi@urban.org>

Diff between educationdata versions 0.1.1 dated 2021-05-31 and 0.1.2 dated 2022-07-20

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New package did with initial version 2.1.2
Package: did
Title: Treatment Effects with Multiple Periods and Groups
Version: 2.1.2
URL: https://bcallaway11.github.io/did/, https://github.com/bcallaway11/did/
Description: The standard Difference-in-Differences (DID) setup involves two periods and two groups -- a treated group and untreated group. Many applications of DID methods involve more than two periods and have individuals that are treated at different points in time. This package contains tools for computing average treatment effect parameters in Difference in Differences setups with more than two periods and with variation in treatment timing using the methods developed in Callaway and Sant'Anna (2021) <doi:10.1016/j.jeconom.2020.12.001>. The main parameters are group-time average treatment effects which are the average treatment effect for a particular group at a a particular time. These can be aggregated into a fewer number of treatment effect parameters, and the package deals with the cases where there is selective treatment timing, dynamic treatment effects, calendar time effects, or combinations of these. There are also functions for testing the Difference in Differences assumption, and plotting group-time average treatment effects.
Depends: R (>= 3.5),
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: BMisc (>= 1.4.4), Matrix, pbapply, ggplot2, ggpubr, DRDID, generics, methods, tidyr
VignetteBuilder: knitr
Suggests: rmarkdown, plm, here, knitr, covr
NeedsCompilation: no
Packaged: 2022-07-20 03:09:38 UTC; brant
Author: Brantly Callaway [aut, cre], Pedro H. C. Sant'Anna [aut]
Maintainer: Brantly Callaway <brantly.callaway@uga.edu>
Repository: CRAN
Date/Publication: 2022-07-20 16:00:05 UTC

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Package worcs updated to version 0.1.10 with previous version 0.1.9 dated 2022-07-16

Title: Workflow for Open Reproducible Code in Science
Description: Create reproducible and transparent research projects in 'R'. This package is based on the Workflow for Open Reproducible Code in Science (WORCS), a step-by-step procedure based on best practices for Open Science. It includes an 'RStudio' project template, several convenience functions, and all dependencies required to make your project reproducible and transparent. WORCS is explained in the tutorial paper by Van Lissa, Brandmaier, Brinkman, Lamprecht, Struiksma, & Vreede (2021). <doi:10.3233/DS-210031>.
Author: Caspar J. Van Lissa [aut, cre] , Aaron Peikert [aut] , Andreas M. Brandmaier [aut]
Maintainer: Caspar J. Van Lissa <c.j.vanlissa@tilburguniversity.edu>

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Package TreeTools updated to version 1.7.3 with previous version 1.7.2 dated 2022-05-24

Title: Create, Modify and Analyse Phylogenetic Trees
Description: Efficient implementations of functions for the creation, modification and analysis of phylogenetic trees. Applications include: generation of trees with specified shapes; tree rearrangement; analysis of tree shape; rooting of trees and extraction of subtrees; calculation and depiction of split support; plotting the position of rogue taxa (Klopfstein & Spasojevic 2019) <doi:10.1371/journal.pone.0212942>; calculation of ancestor-descendant relationships, of 'stemwardness' (Asher & Smith, 2022) <doi:10.1093/sysbio/syab072>, and of tree balance (Mir et al. 2013) <doi:10.1016/j.mbs.2012.10.005>; artificial extinction (Asher & Smith, 2022) <doi:10.1093/sysbio/syab072>; import and export of trees from Newick, Nexus (Maddison et al. 1997) <doi:10.1093/sysbio/46.4.590>, and TNT <http://www.lillo.org.ar/phylogeny/tnt/> formats; and analysis of splits and cladistic information.
Author: Martin R. Smith [aut, cre, cph] , Emmanuel Paradis [cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between TreeTools versions 1.7.2 dated 2022-05-24 and 1.7.3 dated 2022-07-20

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Package TreeDist updated to version 2.4.1 with previous version 2.4.0 dated 2022-03-23

Title: Calculate and Map Distances Between Phylogenetic Trees
Description: Implements measures of tree similarity, including information-based generalized Robinson-Foulds distances (Phylogenetic Information Distance, Clustering Information Distance, Matching Split Information Distance; Smith 2020) <doi:10.1093/bioinformatics/btaa614>; Jaccard-Robinson-Foulds distances (Bocker et al. 2013) <doi:10.1007/978-3-642-40453-5_13>, including the Nye et al. (2006) metric <doi:10.1093/bioinformatics/bti720>; the Matching Split Distance (Bogdanowicz & Giaro 2012) <doi:10.1109/TCBB.2011.48>; Maximum Agreement Subtree distances; the Kendall-Colijn (2016) distance <doi:10.1093/molbev/msw124>, and the Nearest Neighbour Interchange (NNI) distance, approximated per Li et al. (1996) <doi:10.1007/3-540-61332-3_168>. Includes tools for visualizing mappings of tree space (Smith 2022) <doi:10.1093/sysbio/syab100>, for calculating the median of sets of trees, and for computing the information content of trees and splits.
Author: Martin R. Smith [aut, cre, cph, prg] , Roy Jonker [prg, cph], Yong Yang [ctb, cph], Yi Cao [ctb, cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between TreeDist versions 2.4.0 dated 2022-03-23 and 2.4.1 dated 2022-07-20

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Package tealeaves updated to version 1.0.6 with previous version 1.0.5 dated 2020-06-18

Title: Solve for Leaf Temperature Using Energy Balance
Description: Implements models of leaf temperature using energy balance. It uses units to ensure that parameters are properly specified and transformed before calculations. It allows separate lower and upper surface conductances to heat and water vapour, so sensible and latent heat loss are calculated for each surface separately as in Foster and Smith (1986) <doi:10.1111/j.1365-3040.1986.tb02108.x>. It's straightforward to model leaf temperature over environmental gradients such as light, air temperature, humidity, and wind. It can also model leaf temperature over trait gradients such as leaf size or stomatal conductance. Other references are Monteith and Unsworth (2013, ISBN:9780123869104), Nobel (2009, ISBN:9780123741431), and Okajima et al. (2012) <doi:10.1007/s11284-011-0905-5>.
Author: Chris Muir [aut, cre]
Maintainer: Chris Muir <cdmuir@hawaii.edu>

Diff between tealeaves versions 1.0.5 dated 2020-06-18 and 1.0.6 dated 2022-07-20

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Package Rdpack updated to version 2.4 with previous version 2.3.1 dated 2022-06-07

Title: Update and Manipulate Rd Documentation Objects
Description: Functions for manipulation of R documentation objects, including functions reprompt() and ereprompt() for updating 'Rd' documentation for functions, methods and classes; 'Rd' macros for citations and import of references from 'bibtex' files for use in 'Rd' files and 'roxygen2' comments; 'Rd' macros for evaluating and inserting snippets of 'R' code and the results of its evaluation or creating graphics on the fly; and many functions for manipulation of references and Rd files.
Author: Georgi N. Boshnakov [aut, cre], Duncan Murdoch [ctb]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

Diff between Rdpack versions 2.3.1 dated 2022-06-07 and 2.4 dated 2022-07-20

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New package PRSPGx with initial version 0.3.0
Package: PRSPGx
Title: Construct PGx PRS
Version: 0.3.0
Maintainer: Song Zhai <zsviolet1993@gmail.com>
Description: Construct pharmacogenomics (PGx) polygenic risk score (PRS) with PRS-PGx-Unadj (unadjusted), PRS-PGx-CT (clumping and thresholding), PRS-PGx-L, -GL, -SGL (penalized regression), PRS-PGx-Bayes (Bayesian regression). Package is based on ''Pharmacogenomics Polyenic Risk Score for Drug Response Prediction Using PRS-PGx Methods'' by Zhai, S., Zhang, H., Mehrotra, D.V., and Shen, J., 2021 (submitted).
License: GPL (>= 2)
Depends: R (>= 4.0.0)
Imports: gglasso (>= 1.5.0), SGL (>= 1.3.0), glmnet (>= 4.0.2), bigsnpr (>= 1.5.2), Matrix (>= 1.2.18), GIGrvg (>= 0.5.0), MCMCpack (>= 1.4.6), bdsmatrix (>= 1.3.4), bigsparser (>= 0.4.0), lmtest (>= 0.9.37), mvtnorm (>= 1.1.0), propagate (>= 1.0.6), bigparallelr (>= 0.2.3), methods (>= 3.6.3), bigstatsr (>= 1.2.3), Rfast (>= 1.9.9), matrixcalc (>= 1.0-3)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2022-07-19 15:16:57 UTC; zhaiso
Author: Song Zhai [aut, cre]
Repository: CRAN
Date/Publication: 2022-07-20 15:00:02 UTC

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Package preferably updated to version 0.4.1 with previous version 0.4 dated 2021-12-02

Title: A 'pkgdown' Template
Description: This is an accessible template for 'pkgdown'. It uses two bootstrap themes, Flatly and Darkly and utilizes the 'prefers-color-scheme' CSS variable to automatically serve either of the two based on user’s operating system setting, or allowing them to manually toggle between them.
Author: Amir Masoud Abdol [aut, cre]
Maintainer: Amir Masoud Abdol <i@amirmasoudabdol.name>

Diff between preferably versions 0.4 dated 2021-12-02 and 0.4.1 dated 2022-07-20

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Package pencal updated to version 1.2.2 with previous version 1.2.1 dated 2022-06-22

Title: Penalized Regression Calibration (PRC)
Description: Computes penalized regression calibration (PRC), a statistical method that allows to predict survival from high-dimensional longitudinal predictors. PRC is described in Signorelli et al. (2021, <doi:10.1002/sim.9178>)).
Author: Mirko Signorelli [aut, cre, cph] , Pietro Spitali [ctb], Roula Tsonaka [ctb]
Maintainer: Mirko Signorelli <msignorelli.rpackages@gmail.com>

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Package nhdplusTools updated to version 0.5.5 with previous version 0.5.4 dated 2022-07-19

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

Diff between nhdplusTools versions 0.5.4 dated 2022-07-19 and 0.5.5 dated 2022-07-20

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Package netassoc updated to version 0.7.0 with previous version 0.6.3 dated 2017-06-05

Title: Inference of Species Associations from Co-Occurrence Data
Description: Infers species associations from community matrices. Uses local and (optional) regional-scale co-occurrence data by comparing observed partial correlation coefficients between species to those estimated from regional species distributions. Extends Gaussian graphical models to a null modeling framework. Provides interface to a variety of inverse covariance matrix estimation methods.
Author: Benjamin Blonder, Naia Morueta-Holme
Maintainer: Benjamin Blonder <benjamin.blonder@berkeley.edu>

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Package IDF updated to version 2.1.2 with previous version 2.1.1 dated 2022-03-03

Title: Estimation and Plotting of IDF Curves
Description: Intensity-duration-frequency (IDF) curves are a widely used analysis-tool in hydrology to assess extreme values of precipitation [e.g. Mailhot et al., 2007, <doi:10.1016/j.jhydrol.2007.09.019>]. The package 'IDF' provides functions to estimate IDF parameters for given precipitation time series on the basis of a duration-dependent generalized extreme value distribution [Koutsoyiannis et al., 1998, <doi:10.1016/S0022-1694(98)00097-3>].
Author: Felix S. Fauer [aut, cre], Jana Ulrich [aut], Laura Mack [ctb], Oscar E. Jurado [ctb], Christoph Ritschel [aut], Carola Detring [ctb], Sarah Joedicke [ctb]
Maintainer: Felix S. Fauer <felix.fauer@met.fu-berlin.de>

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Package ggside updated to version 0.2.1 with previous version 0.2.0 dated 2021-12-11

Title: Side Grammar Graphics
Description: The grammar of graphics as shown in 'ggplot2' has provided an expressive API for users to build plots. 'ggside' extends 'ggplot2' by allowing users to add graphical information about one of the main panel's axis using a familiar 'ggplot2' style API with tidy data. This package is particularly useful for visualizing metadata on a discrete axis, or summary graphics on a continuous axis such as a boxplot or a density distribution.
Author: Justin Landis [aut, cre]
Maintainer: Justin Landis <jtlandis314@gmail.com>

Diff between ggside versions 0.2.0 dated 2021-12-11 and 0.2.1 dated 2022-07-20

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Package geoknife updated to version 1.6.7 with previous version 1.6.6 dated 2021-12-10

Title: Web-Processing of Large Gridded Datasets
Description: Processes gridded datasets found on the U.S. Geological Survey Geo Data Portal web application or elsewhere, using a web-enabled workflow that eliminates the need to download and store large datasets that are reliably hosted on the Internet. The package provides access to several data subset and summarization algorithms that are available on remote web processing servers (Read et al. (2015) <doi:10.1111/ecog.01880>).
Author: Jordan Read [aut], Jordan Walker [aut], Alison Appling [aut], David Blodgett [aut, cre], Emily Read [aut], Luke Winslow [aut], Lindsay Carr [aut], David Watkins [aut]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package fontawesome updated to version 0.3.0 with previous version 0.2.2 dated 2021-07-02

Title: Easily Work with 'Font Awesome' Icons
Description: Easily and flexibly insert 'Font Awesome' icons into 'R Markdown' documents and 'Shiny' apps. These icons can be inserted into HTML content through inline 'SVG' tags or 'i' tags. There is also a utility function for exporting 'Font Awesome' icons as 'PNG' images for those situations where raster graphics are needed.
Author: Richard Iannone [aut, cre] , Christophe Dervieux [ctb] , Winston Chang [ctb], Dave Gandy [ctb, cph] , RStudio [cph, fnd]
Maintainer: Richard Iannone <rich@rstudio.com>

Diff between fontawesome versions 0.2.2 dated 2021-07-02 and 0.3.0 dated 2022-07-20

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Package Rogue updated to version 2.1.1 with previous version 2.1.0 dated 2022-01-13

Title: Identify Rogue Taxa in Sets of Phylogenetic Trees
Description: Rogue ("wildcard") taxa are leaves with uncertain phylogenetic position. Their position may vary from tree to tree under inference methods that yield a tree set (e.g. bootstrapping, Bayesian tree searches, maximum parsimony). The presence of rogue taxa in a tree set can potentially remove all information from a consensus tree. The information content of a consensus tree - a function of its resolution and branch support values - can often be increased by removing rogue taxa. 'Rogue' provides an explicitly information-theoretic approach to rogue detection (Smith 2022) <doi:10.1093/sysbio/syab099>, and an interface to 'RogueNaRok' (Aberer et al. 2013) <doi:10.1093/sysbio/sys078>.
Author: Martin R. Smith [aut, cre, cph] , Andre J. Aberer [aut, cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between Rogue versions 2.1.0 dated 2022-01-13 and 2.1.1 dated 2022-07-20

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Package mlrCPO updated to version 0.3.7-4 with previous version 0.3.7-3 dated 2021-11-10

Title: Composable Preprocessing Operators and Pipelines for Machine Learning
Description: Toolset that enriches 'mlr' with a diverse set of preprocessing operators. Composable Preprocessing Operators ("CPO"s) are first-class R objects that can be applied to data.frames and 'mlr' "Task"s to modify data, can be attached to 'mlr' "Learner"s to add preprocessing to machine learning algorithms, and can be composed to form preprocessing pipelines.
Author: Martin Binder [aut, cre], Bernd Bischl [ctb], Michel Lang [ctb], Lars Kotthoff [ctb]
Maintainer: Martin Binder <developer.mb706@doublecaret.com>

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Package hdme updated to version 0.5.0 with previous version 0.4.0 dated 2022-07-03

Title: High-Dimensional Regression with Measurement Error
Description: Penalized regression for generalized linear models for measurement error problems (aka. errors-in-variables). The package contains a version of the lasso (L1-penalization) which corrects for measurement error (Sorensen et al. (2015) <doi:10.5705/ss.2013.180>). It also contains an implementation of the Generalized Matrix Uncertainty Selector, which is a version the (Generalized) Dantzig Selector for the case of measurement error (Sorensen et al. (2018) <doi:10.1080/10618600.2018.1425626>).
Author: Oystein Sorensen [aut, cre]
Maintainer: Oystein Sorensen <oystein.sorensen.1985@gmail.com>

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Package processanimateR updated to version 1.0.5 with previous version 1.0.4 dated 2021-10-11

Title: Process Map Token Replay Animation
Description: Provides animated process maps based on the 'procesmapR' package. Cases stored in event logs created with with 'bupaR' S3 class eventlog() are rendered as tokens (SVG shapes) and animated according to their occurrence times on top of the process map. For rendering SVG animations ('SMIL') and the 'htmlwidget' package are used.
Author: Felix Mannhardt [aut, cre], Gert Janssenswillen [ctb]
Maintainer: Felix Mannhardt <f.mannhardt@tue.nl>

Diff between processanimateR versions 1.0.4 dated 2021-10-11 and 1.0.5 dated 2022-07-20

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Package serpstatr updated to version 0.2.0 with previous version 0.1.0 dated 2021-01-10

Title: 'Serpstat' API Wrapper
Description: The primary goal of 'Serpstat' API <https://serpstat.com/api/> is to reduce manual SEO (search engine optimization) and PPC (pay-per-click) tasks. You can automate your keywords research or competitors analysis with this API wrapper.
Author: Alex Danilin [aut, cre]
Maintainer: Alex Danilin <alexnikdanilin@gmail.com>

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Package container updated to version 1.0.2 with previous version 1.0.1 dated 2022-02-19

Title: Extending Base R List
Description: Extends the functionality of base R list and provides specialized data structures deque, set, dict, and 'dict.table', the latter to extend the 'data.table' package.
Author: Roman Pahl [aut, cre]
Maintainer: Roman Pahl <roman.pahl@gmail.com>

Diff between container versions 1.0.1 dated 2022-02-19 and 1.0.2 dated 2022-07-20

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Package gyro updated to version 1.1.0 with previous version 1.0.1 dated 2022-06-13

Title: Hyperbolic Geometry
Description: Hyperbolic geometry in the Minkowski model and the Poincaré model. The methods are based on the gyrovector space theory developed by A. A. Ungar that can be found in the book 'Analytic Hyperbolic Geometry: Mathematical Foundations And Applications' <doi:10.1142/5914>. The package provides functions to plot three-dimensional hyperbolic polyhedra and to plot hyperbolic tilings of the Poincaré disk.
Author: Stephane Laurent
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between gyro versions 1.0.1 dated 2022-06-13 and 1.1.0 dated 2022-07-20

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Package quantreg updated to version 5.94 with previous version 5.93 dated 2022-05-02

Title: Quantile Regression
Description: Estimation and inference methods for models for conditional quantile functions: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also now included. See Koenker, R. (2005) Quantile Regression, Cambridge U. Press, <doi:10.1017/CBO9780511754098> and Koenker, R. et al. (2017) Handbook of Quantile Regression, CRC Press, <doi:10.1201/9781315120256>.
Author: Roger Koenker [cre, aut], Stephen Portnoy [ctb] , Pin Tian Ng [ctb] , Blaise Melly [ctb] , Achim Zeileis [ctb] , Philip Grosjean [ctb] , Cleve Moler [ctb] , Yousef Saad [ctb] , Victor Chernozhukov [ctb] , Ivan Fernandez-Val [ctb] , Brian D Ripley [tr [...truncated...]
Maintainer: Roger Koenker <rkoenker@illinois.edu>

Diff between quantreg versions 5.93 dated 2022-05-02 and 5.94 dated 2022-07-20

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Package fNonlinear updated to version 4021.80 with previous version 3042.79 dated 2017-11-16

Title: Rmetrics - Nonlinear and Chaotic Time Series Modelling
Description: Provides a collection of functions for testing various aspects of univariate time series including independence and neglected nonlinearities. Further provides functions to investigate the chaotic behavior of time series processes and to simulate different types of chaotic time series maps.
Author: Diethelm Wuertz [aut], Tobias Setz [aut], Yohan Chalabi [aut], Paul Smith [cre]
Maintainer: Paul Smith <paul@waternumbers.co.uk>

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Package fCopulae updated to version 4021.84 with previous version 3042.82.1 dated 2020-03-07

Title: Rmetrics - Bivariate Dependence Structures with Copulae
Description: Provides a collection of functions to manage, to investigate and to analyze bivariate financial returns by Copulae. Included are the families of Archemedean, Elliptical, Extreme Value, and Empirical Copulae.
Author: Diethelm Wuertz [aut], Tobias Setz [aut], Yohan Chalabi [ctb], Paul Smith [cre]
Maintainer: Paul Smith <paul@waternumbers.co.uk>

Diff between fCopulae versions 3042.82.1 dated 2020-03-07 and 4021.84 dated 2022-07-20

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Package qgg (with last version 1.1.0) was removed from CRAN

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

2022-06-27 1.1.0
2020-06-29 1.0.4
2020-04-21 1.0.3

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