Tue, 27 Sep 2022

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

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

2015-08-04 0.1.1
2015-08-03 0.1.0

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New package OrdCD with initial version 1.0.0
Package: OrdCD
Title: Ordinal Causal Discovery
Version: 1.0.0
Date: 2022-09-23
Description: Algorithms for ordinal causal discovery. This package aims to enable users to discover causality for observational ordinal categorical data with greedy and exhaustive search. See Ni, Y., & Mallick, B. (2022) <https://proceedings.mlr.press/v180/ni22a/ni22a.pdf> "Ordinal Causal Discovery. Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, (UAI 2022), PMLR 180:1530–1540".
License: MIT + file LICENSE
Encoding: UTF-8
Imports: gRbase, MASS, bnlearn, igraph, stats
URL: https://github.com/nySTAT/OCD
BugReports: https://github.com/nySTAT/OCD/issues
NeedsCompilation: no
Packaged: 2022-09-27 02:50:05 UTC; yangn
Author: Yang Ni [aut, cre]
Maintainer: Yang Ni <yni@stat.tamu.edu>
Repository: CRAN
Date/Publication: 2022-09-27 10:30:02 UTC

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New package OptimalSurrogate with initial version 1.0
Package: OptimalSurrogate
Title: Model Free Approach to Quantifying Surrogacy
Version: 1.0
Description: Identifies an optimal transformation of a surrogate marker such that the proportion of treatment effect explained can be inferred based on the transformation of the surrogate and nonparametrically estimates two model-free quantities of this proportion. Details are described in Wang et al (2020) <doi:10.1093/biomet/asz065>.
License: GPL-3
Depends: R (>= 3.0)
Imports: splines, MASS, stats
NeedsCompilation: no
Packaged: 2022-09-27 00:03:52 UTC; parastlm
Author: Xuan Wang [aut], Layla Parast [aut, cre], Ming Yang [aut], Lu Tian [aut], Tianxi Cai [aut]
Maintainer: Layla Parast <parast@austin.utexas.edu>
Repository: CRAN
Date/Publication: 2022-09-27 10:20:07 UTC

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New package less with initial version 0.1.0
Package: less
Title: Learning with Subset Stacking
Version: 0.1.0
Description: "Learning with Subset Stacking" is a supervised learning algorithm that is based on training many local estimators on subsets of a given dataset, and then passing their predictions to a global estimator. You can find the details about LESS in our manuscript at <arXiv:2112.06251>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: caret, e1071, FNN, MLmetrics, pracma, R6, randomForest, RANN, rpart, wordspace
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2022-09-27 10:19:15 UTC; ozerc
Author: Ilker Birbil [aut], Burhan Ozer Cavdar [aut, trl, cre]
Maintainer: Burhan Ozer Cavdar <bcavdar17@ku.edu.tr>
Repository: CRAN
Date/Publication: 2022-09-27 11:00:02 UTC

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New package getpublist with initial version 0.1.0
Package: getpublist
Title: Obtain a List of Publications from 'PubMed' and 'Google Scholar'
Version: 0.1.0
Maintainer: Xuefei Jia <xuefeij.ai@gmail.com>
Description: Use web scraping for 'PubMed'(<https://pubmed.ncbi.nlm.nih.gov>) and 'Google Scholar' profile page (for example <https://scholar.google.com/citations?user=lOOV8rwAAAAJ&hl=en>) to get all of the published information from the search page. Then placing it on a table.
License: GPL-3
Imports: dplyr, magrittr, rvest, stringr, tibble, tidyr, xml2
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-09-27 01:12:38 UTC; jiax
Author: Xuefei Jia [aut, ctb, cre]
Repository: CRAN
Date/Publication: 2022-09-27 10:20:02 UTC

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New package freebird with initial version 1.0
Package: freebird
Title: Estimation and Inference for High Dimensional Mediation and Surrogate Analysis
Version: 1.0
Description: Estimates and provides inference for quantities that assess high dimensional mediation and potential surrogate markers including the direct effect of treatment, indirect effect of treatment, and the proportion of treatment effect explained by a surrogate/mediator; details are described in Zhou et al (2022) <doi:10.1002/sim.9352> and Zhou et al (2020) <doi:10.1093/biomet/asaa016>. This package relies on the optimization software 'MOSEK', <https://www.mosek.com>.
Depends: R (>= 3.5.0), scalreg, Rmosek, Matrix
Imports: stats, MASS
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-09-27 00:47:45 UTC; parastlm
Author: Ruixuan Zhou [aut, cph], Dave Zhao [aut, cph], Layla Parast [cre]
Maintainer: Layla Parast <parast@austin.utexas.edu>
Repository: CRAN
Date/Publication: 2022-09-27 10:20:05 UTC

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New package correspondenceTables with initial version 0.7.4
Package: correspondenceTables
Title: Creating Correspondence Tables Between Two Statistical Classifications
Date: 2022-09-25
Version: 0.7.4
Description: A candidate correspondence table between two classifications can be created when there are correspondence tables leading from the first classification to the second one via intermediate 'pivot' classifications. The correspondence table between two statistical classifications can be updated when one of the classifications gets updated to a new version.
License: EUPL
Encoding: UTF-8
Imports: data.table
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
URL: https://github.com/eurostat/correspondenceTables
BugReports: https://github.com/eurostat/correspondenceTables/issues
Maintainer: Matyas Meszaros <matyas.meszaros@ec.europa.eu>
Packaged: 2022-09-27 08:43:52 UTC; mmeszaros
Author: Vasilis Chasiotis [aut] , Photis Stavropoulos [aut] , Martin Karlberg [aut], Matyas Meszaros [cre]
Repository: CRAN
Date/Publication: 2022-09-27 10:50:02 UTC

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New package ContRespPP with initial version 0.4.1
Package: ContRespPP
Title: Predictive Probability for a Continuous Response with an ANOVA Structure
Version: 0.4.1
Description: A Bayesian approach to using predictive probability in an ANOVA construct with a continuous normal response, when threshold values must be obtained for the question of interest to be evaluated as successful (Sieck and Christensen (2021) <doi:10.1002/qre.2802>). The Bayesian Mission Mean (BMM) is used to evaluate a question of interest (that is, a mean that randomly selects combination of factor levels based on their probability of occurring instead of averaging over the factor levels, as in the grand mean). Under this construct, in contrast to a Gibbs sampler (or Metropolis-within-Gibbs sampler), a two-stage sampling method is required. The nested sampler determines the conditional posterior distribution of the model parameters, given Y, and the outside sampler determines the marginal posterior distribution of Y (also commonly called the predictive distribution for Y). This approach provides a sample from the joint posterior distribution of Y and the model parameters, while also [...truncated...]
URL: https://github.com/jcliff89/ContRespPP
BugReports: https://github.com/jcliff89/ContRespPP/issues
License: CC0
Encoding: UTF-8
LazyData: true
Imports: stats
Suggests: rjags, coda, knitr, devtools, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-09-26 21:58:05 UTC; jcliff
Author: Victoria Sieck [aut, cre] , Joshua Clifford [aut] , Fletcher Christensen [aut]
Maintainer: Victoria Sieck <vcarrillo314@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-27 10:20:10 UTC

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New package pompp with initial version 0.1.0
Package: pompp
Title: Presence-Only for Marked Point Process
Version: 0.1.0
Description: Inspired by Moreira and Gamerman (2022) <doi:10.1214/21-AOAS1569>, this methodology expands the idea by including Marks in the point process. Using efficient 'C++' code, the estimation is possible and made faster with 'OpenMP' <https://www.openmp.org/> enabled computers.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 2.14.0)
LinkingTo: Rcpp, RcppEigen, RcppProgress
Imports: Rcpp, coda, geoR, parallel, methods, graphics, stats, tools
Suggests: bayesplot, ggplot2, MASS
NeedsCompilation: yes
Packaged: 2022-09-26 20:30:08 UTC; anthorg
Author: Guido Alberti Moreira [cre, aut]
Maintainer: Guido Alberti Moreira <guidoalber@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-27 09:20:02 UTC

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New package FDboost with initial version 1.1-1
Package: FDboost
Title: Boosting Functional Regression Models
Version: 1.1-1
Date: 2022-09-08
Maintainer: David Ruegamer <david.ruegamer@gmail.com>
Description: Regression models for functional data, i.e., scalar-on-function, function-on-scalar and function-on-function regression models, are fitted by a component-wise gradient boosting algorithm. For a manual on how to use 'FDboost', see Brockhaus, Ruegamer, Greven (2017) <doi:10.18637/jss.v094.i10>.
Depends: R (>= 3.5.0), mboost (>= 2.9-0)
Imports: methods, graphics, grDevices, utils, stats, Matrix, gamboostLSS (>= 2.0-0), stabs, mgcv, MASS, zoo
Suggests: fda, fields, ggplot2, maps, mapdata, knitr, refund, testthat
License: GPL-2
Packaged: 2022-09-26 20:18:38 UTC; david
Encoding: UTF-8
BugReports: https://github.com/boost-R/FDboost/issues
URL: https://github.com/boost-R/FDboost
VignetteBuilder: knitr
NeedsCompilation: no
Author: Sarah Brockhaus [aut], David Ruegamer [aut, cre], Almond Stoecker [aut], Torsten Hothorn [ctb], with contributions by many others [ctb]
Repository: CRAN
Date/Publication: 2022-09-27 09:20:05 UTC

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Package bootCT updated to version 1.1.1 with previous version 1.1 dated 2022-07-18

Title: Bootstrapping the ARDL Tests for Cointegration
Description: The bootstrap ARDL tests for cointegration is the main functionality of this package. It also acts as a wrapper of the most commond ARDL testing procedures for cointegration: the bound tests of Pesaran, Shin and Smith (PSS; 2001 - <doi:10.1002/jae.616>) and the asymptotic test on the independent variables of Sam, McNown and Goh (SMG: 2019 - <doi:10.1016/j.econmod.2018.11.001>). Bootstrap and bound tests are performed under both the conditional and unconditional ARDL models.
Author: Gianmarco Vacca, Stefano Bertelli
Maintainer: Gianmarco Vacca <gianmarco.vacca@unicatt.it>

Diff between bootCT versions 1.1 dated 2022-07-18 and 1.1.1 dated 2022-09-27

 DESCRIPTION          |   14 +++++++-------
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New package squat with initial version 0.0.1
Package: squat
Title: Statistics for Quaternion Temporal Data
Version: 0.0.1
Description: An implementation of statistical tools for the analysis of unit quaternion time series. It relies on pre-existing quaternion data structure provided by the 'Eigen' C++ library.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, fdacluster
Imports: cli, dtw, fdacluster, funData, furrr, ggplot2, ggrepel, MFPCA, pbapply, purrr, Rcpp, roahd, scales, tibble, tidyr
Depends: R (>= 4.1.0)
Suggests: covr, gghighlight, testthat (>= 3.0.0), vdiffr, withr
URL: https://lmjl-alea.github.io/squat/
NeedsCompilation: yes
Packaged: 2022-09-26 19:04:50 UTC; stamm-a
Author: Lise Bellanger [aut], Pierre Drouin [aut], Aymeric Stamm [aut, cre] , Benjamin Martineau [ctb]
Maintainer: Aymeric Stamm <aymeric.stamm@math.cnrs.fr>
Repository: CRAN
Date/Publication: 2022-09-27 09:00:02 UTC

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New package shinyXYpad with initial version 0.2.0
Package: shinyXYpad
Title: XY Controller for 'Shiny'
Version: 0.2.0
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Description: Provides an XY pad input for the 'Shiny' framework. An XY pad is like a bivariate slider. It allows to pick up a pair of numbers.
License: GPL-3
Encoding: UTF-8
Imports: shiny
URL: https://github.com/stla/shinyXYpad
BugReports: https://github.com/stla/shinyXYpad/issues
NeedsCompilation: no
Packaged: 2022-09-26 14:24:37 UTC; stla
Author: Stephane Laurent [aut, cre], Anthony Terrien [cph]
Repository: CRAN
Date/Publication: 2022-09-27 08:10:02 UTC

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New package oceCens with initial version 0.1.1
Package: oceCens
Title: Ordered Composite Endpoints with Censoring
Version: 0.1.1
Description: Estimates win ratio or Mann-Whitney parameter for two group comparisons using ordered composite endpoints with right censoring as described in Follmann, Fay, Hamasaki, and Evans (2020)<doi:10.1002/sim.7890>.
License: GPL-3
Depends: R (>= 3.5.0), survival
Suggests: testthat (>= 3.0.0),knitr, rmarkdown
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-09-26 13:31:46 UTC; faym
Author: Michael P. Fay [aut, cre], Dean Follmann [aut]
Maintainer: Michael P. Fay <mfay@niaid.nih.gov>
Repository: CRAN
Date/Publication: 2022-09-27 08:10:05 UTC

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New package eixport with initial version 0.5.4
Package: eixport
Title: Export Emissions to Atmospheric Models
Version: 0.5.4
Date: 2022-09-26
Description: Emissions are the mass of pollutants released into the atmosphere. Air quality models need emissions data, with spatial and temporal distribution, to represent air pollutant concentrations. This package, 'eixport', creates inputs for the air quality models 'WRF-Chem' Grell et al (2005) <doi:10.1016/j.atmosenv.2005.04.027>, 'MUNICH' Kim et al (2018) <doi:10.5194/gmd-11-611-2018> , 'BRAMS-SPM' Freitas et al (2005) <doi:10.1016/j.atmosenv.2005.07.017> and 'RLINE' Snyder et al (2013) <doi:10.1016/j.atmosenv.2013.05.074>. See the 'eixport' website (<https://atmoschem.github.io/eixport/>) for more information, documentations and examples. More details in Ibarra-Espinosa et al (2018) <doi:10.21105/joss.00607>.
License: MIT + file LICENSE
URL: https://atmoschem.github.io/eixport/
BugReports: https://github.com/atmoschem/eixport/issues/
Depends: R (>= 3.5.0)
Imports: sf, ncdf4, raster, sp, methods, cptcity, utils, parallel, data.table, rgdal
Encoding: UTF-8
LazyData: no
Suggests: testthat, covr, lwgeom, units, knitr, rmarkdown, vein
NeedsCompilation: no
Packaged: 2022-09-26 15:32:50 UTC; sergio
Author: Sergio Ibarra-Espinosa [aut, cre] , Daniel Schuch [aut] , Edmilson Freitas [ths] , Umur Dinc [ctb]
Maintainer: Sergio Ibarra-Espinosa <zergioibarra@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-27 08:20:02 UTC

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New package dogesr with initial version 0.1.0
Package: dogesr
Title: Work with the Doges/Dogaresse Dataset
Version: 0.1.0
Author: Juan Julian Merelo-Guervos
Maintainer: Juan Julian Merelo-Guervos <jjmerelo@gmail.com>
Description: Work with data on Venetian doges and dogaresse, and use it for social network analysis.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0)
Imports: dplyr
NeedsCompilation: no
Packaged: 2022-09-26 16:35:14 UTC; jmerelo
Repository: CRAN
Date/Publication: 2022-09-27 08:30:02 UTC

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New package Blaunet with initial version 2.2.1
Package: Blaunet
Version: 2.2.1
Title: Calculate and Analyze Blau Statuses for Measuring Social Distance
Depends: R (>= 3.0.0)
Imports: digest, gWidgets2, gWidgets2tcltk, plot3D, plot3Drgl, rgl, network, sna, ergm, statnet.common, haven, foreign
Description: Calculate and analyze Blau statuses for quantifying social distance between individuals belonging to organizations. Relational (network) data can be incorporated for additional analyses. This project is supported by Defense Threat Reduction Agency (DTRA) Grant HDTRA-10-1-0043.
License: GPL-3
License_restricts_use: no
URL: https://www.facebook.com/groups/425015561030239/
Packaged: 2022-09-26 13:29:05 UTC; cheng
Repository: CRAN
Date/Publication: 2022-09-27 08:10:08 UTC
NeedsCompilation: no
Author: Cheng Wang [aut, cre], Michael Genkin [aut], George Berry [aut], Liyuan Chen [aut], Matthew Brashears [aut]
Maintainer: Cheng Wang <chengwang@wayne.edu>

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Package tinytex updated to version 0.42 with previous version 0.41 dated 2022-08-16

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>

Diff between tinytex versions 0.41 dated 2022-08-16 and 0.42 dated 2022-09-27

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Package RPresto updated to version 1.4.0 with previous version 1.3.7 dated 2021-09-04

Title: DBI Connector to Presto
Description: Implements a 'DBI' compliant interface to Presto. Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes: <https://prestodb.io/>.
Author: Onur Ismail Filiz [aut], Sergey Goder [aut], Jarod G.R. Meng [aut, cre], Thomas J. Leeper [ctb], John Myles White [ctb]
Maintainer: Jarod G.R. Meng <jarodm@fb.com>

Diff between RPresto versions 1.3.7 dated 2021-09-04 and 1.4.0 dated 2022-09-27

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Package rocbc updated to version 0.1.1 with previous version 0.1.0 dated 2022-09-20

Title: Statistical Inference for Box-Cox Based Receiver Operating Characteristic Curves
Description: Generation of Box-Cox based ROC curves and several aspects of inferences and hypothesis testing. Can be used when inferences for one biomarker (Bantis LE, Nakas CT, Reiser B. (2018) <doi:10.1002/bimj.201700107>) are of interest or when comparisons of two correlated biomarkers (Bantis LE, Nakas CT, Reiser B. (2021) <doi:10.1002/bimj.202000128>) are of interest. Provides inferences and comparisons around the AUC, the Youden index, the sensitivity at a given specificity level (and vice versa), the optimal operating point of the ROC curve (in the Youden sense), and the Youden based cutoff.
Author: Leonidas Bantis [aut], Benjamin Brewer [cre, ctb], Christos Nakas [ctb], Benjamin Reiser [ctb]
Maintainer: Benjamin Brewer <tennisbenj@gmail.com>

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Package migraph updated to version 0.12.0 with previous version 0.11.3 dated 2022-09-13

Title: Tools for Multimodal Network Analysis
Description: A set of tools for analysing multimodal networks. All functions operate with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects, and on one-mode, two-mode (bipartite), and sometimes three-mode networks. It includes functions for measuring centrality, centralization, cohesion, closure, and constraint, as well as for network block-modelling and regression. The package is released as a complement to 'Multimodal Political Networks' (2021, ISBN:9781108985000), and includes various datasets used in the book in addition to other network data.
Author: James Hollway [cre, aut, ctb] , Jael Tan [ctb] , Bernhard Bieri [ctb] , Henrique Sposito [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package iheiddown updated to version 0.9.5 with previous version 0.9.3 dated 2022-05-13

Title: For Writing Geneva Graduate Institute Documents
Description: A set of tools for writing documents according to Geneva Graduate Institute conventions and regulations. The most common use is for writing and compiling theses or thesis chapters, as drafts or for examination with correct preamble formatting. However, the package also offers users to create HTML presentation slides with 'xaringan', complete problem sets, format posters, and, for course instructors, prepare a syllabus. The package includes additional functions for institutional color palettes, an institutional 'ggplot' theme, a function for counting manuscript words, and a bibliographical analysis toolkit.
Author: James Hollway [aut, cre, cph] , Bernhard Bieri [ctb] , Henrique Sposito [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package IDSL.MXP updated to version 1.6 with previous version 1.5 dated 2022-07-07

Title: Parser for mzML, mzXML, and netCDF Files (Mass Spectrometry Data)
Description: A tiny parser to extract mass spectra data and metadata table of MS acquisition properties from mzML, mzXML and netCDF mass spectrometry files.
Author: Sadjad Fakouri-Baygi [cre, aut] , Dinesh Barupal [aut]
Maintainer: Sadjad Fakouri-Baygi <sadjad.fakouri-baygi@mssm.edu>

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Package IDSL.IPA updated to version 2.3 with previous version 2.2 dated 2022-09-09

Title: Intrinsic Peak Analysis (IPA) for HRMS Data
Description: A sophisticated pipeline for processing LC/HRMS data to extract signals of organic compounds. The package performs isotope pairing, peak detection, alignment, RT correction, gap filling, peak annotation and visualization of extracted ion chromatograms (EIC) and total ion chromatograms (TIC).
Author: Sadjad Fakouri-Baygi [cre, aut] , Dinesh Barupal [aut]
Maintainer: Sadjad Fakouri-Baygi <sadjad.fakouri-baygi@mssm.edu>

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More information about IDSL.IPA at CRAN
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Package EFAtools updated to version 0.4.2 with previous version 0.4.1 dated 2022-04-24

Title: Fast and Flexible Implementations of Exploratory Factor Analysis Tools
Description: Provides functions to perform exploratory factor analysis (EFA) procedures and compare their solutions. The goal is to provide state-of-the-art factor retention methods and a high degree of flexibility in the EFA procedures. This way, for example, implementations from R 'psych' and 'SPSS' can be compared. Moreover, functions for Schmid-Leiman transformation and the computation of omegas are provided. To speed up the analyses, some of the iterative procedures, like principal axis factoring (PAF), are implemented in C++.
Author: Markus Steiner [aut, cre], Silvia Grieder [aut], William Revelle [ctb], Max Auerswald [ctb], Morten Moshagen [ctb], John Ruscio [ctb], Brendan Roche [ctb], Urbano Lorenzo-Seva [ctb], David Navarro-Gonzalez [ctb]
Maintainer: Markus Steiner <markus.d.steiner@gmail.com>

Diff between EFAtools versions 0.4.1 dated 2022-04-24 and 0.4.2 dated 2022-09-27

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Package shinymanager updated to version 1.0.410 with previous version 1.0.400 dated 2021-06-16

Title: Authentication Management for 'Shiny' Applications
Description: Simple and secure authentification mechanism for single 'Shiny' applications. Credentials are stored in an encrypted 'SQLite' database. Source code of main application is protected until authentication is successful.
Author: Benoit Thieurmel [aut, cre], Victor Perrier [aut]
Maintainer: Benoit Thieurmel <bthieurmel@gmail.com>

Diff between shinymanager versions 1.0.400 dated 2021-06-16 and 1.0.410 dated 2022-09-27

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Package rsprite2 updated to version 0.2.0 with previous version 0.1.0 dated 2021-09-22

Title: Identify Distributions that Match Reported Sample Parameters (SPRITE)
Description: The SPRITE algorithm creates possible distributions of discrete responses based on reported sample parameters, such as mean, standard deviation and range (Heathers et al., 2018, <doi:10.7287/peerj.preprints.26968v1>). This package implements it, drawing heavily on the code for Nick Brown's 'rSPRITE' Shiny app <https://shiny.ieis.tue.nl/sprite/>. In addition, it supports the modeling of distributions based on multi-item (Likert-type) scales and the use of restrictions on the frequency of particular responses.
Author: Lukas Wallrich [aut, cre] , Aurelien Allard [ctb]
Maintainer: Lukas Wallrich <lukas.wallrich@gmail.com>

Diff between rsprite2 versions 0.1.0 dated 2021-09-22 and 0.2.0 dated 2022-09-27

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Package chameleon updated to version 0.2-3 with previous version 0.2-1 dated 2022-07-13

Title: Automatic Colors for Multi-Dimensional Data
Description: Assign distinct colors to arbitrary multi-dimensional data, considering its structure.
Author: Oren Ben-Kiki [aut, cre], Weizmann Institute of Science [cph]
Maintainer: Oren Ben-Kiki <oren@ben-kiki.org>

Diff between chameleon versions 0.2-1 dated 2022-07-13 and 0.2-3 dated 2022-09-27

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Package AGread (with last version 1.3.2) was removed from CRAN

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

2022-09-13 1.3.2

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