Wed, 22 Oct 2025

Package teal.modules.general updated to version 0.5.1 with previous version 0.5.0 dated 2025-08-20

Title: General Modules for 'teal' Applications
Description: Prebuilt 'shiny' modules containing tools for viewing data, visualizing data, understanding missing and outlier values within your data and performing simple data analysis. This extends 'teal' framework that supports reproducible research and analysis.
Author: Dawid Kaledkowski [aut, cre], Pawel Rucki [aut], Mahmoud Hallal [aut], Ondrej Slama [ctb], Maciej Nasinski [aut], Konrad Pagacz [aut], Nikolas Burkoff [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@roche.com>

Diff between teal.modules.general versions 0.5.0 dated 2025-08-20 and 0.5.1 dated 2025-10-22

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More information about teal.modules.general at CRAN
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Package mev updated to version 2.0 with previous version 1.17 dated 2024-07-09

Title: Modelling of Extreme Values
Description: Various tools for the analysis of univariate, multivariate and functional extremes. Exact simulation from max-stable processes (Dombry, Engelke and Oesting, 2016, <doi:10.1093/biomet/asw008>, R-Pareto processes for various parametric models, including Brown-Resnick (Wadsworth and Tawn, 2014, <doi:10.1093/biomet/ast042>) and Extremal Student (Thibaud and Opitz, 2015, <doi:10.1093/biomet/asv045>). Threshold selection methods, including Wadsworth (2016) <doi:10.1080/00401706.2014.998345>, and Northrop and Coleman (2014) <doi:10.1007/s10687-014-0183-z>. Multivariate extreme diagnostics. Estimation and likelihoods for univariate extremes, e.g., Coles (2001) <doi:10.1007/978-1-4471-3675-0>.
Author: Leo Belzile [aut, cre] , Jennifer L. Wadsworth [aut], Paul J. Northrop [aut] , Raphael Huser [aut] , Scott D. Grimshaw [aut] , Jin Zhang [ctb], Michael A. Stephens [ctb], Art B. Owen [ctb]
Maintainer: Leo Belzile <belzilel@gmail.com>

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Package biodosetools updated to version 3.7.1 with previous version 3.7 dated 2025-10-14

Title: 'shiny' Application for Biological Dosimetry
Description: A tool to perform all different statistical tests and calculations needed by Biological dosimetry Laboratories. Detailed documentation is available in <https://biodosetools-team.github.io/documentation/>.
Author: Alfredo Hernandez [aut] , Anna Frances-Abellan [aut, cre] , David Endesfelder [aut], Pere Puig [aut]
Maintainer: Anna Frances-Abellan <anna.frances@uab.cat>

Diff between biodosetools versions 3.7 dated 2025-10-14 and 3.7.1 dated 2025-10-22

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Permanent link

Package warbleR readmission to version 1.1.37 with previous version 1.1.36 dated 2025-07-28

Title: Streamline Bioacoustic Analysis
Description: Functions aiming to facilitate the analysis of the structure of animal acoustic signals in 'R'. 'warbleR' makes use of the basic sound analysis tools from the packages 'tuneR' and 'seewave', and offers new tools for exploring and quantifying acoustic signal structure. The package allows to organize and manipulate multiple sound files, create spectrograms of complete recordings or individual signals in different formats, run several measures of acoustic structure, and characterize different structural levels in acoustic signals (Araya-Salas et al 2016 <doi:10.1111/2041-210X.12624>).
Author: Marcelo Araya-Salas [aut, cre] , Grace Smith-Vidaurre [aut]
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>

This is a re-admission after prior archival of version 1.1.36 dated 2025-07-28

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Package unitizer updated to version 1.4.23 with previous version 1.4.22 dated 2025-03-18

Title: Interactive R Unit Tests
Description: Simplifies regression tests by comparing objects produced by test code with earlier versions of those same objects. If objects are unchanged the tests pass, otherwise execution stops with error details. If in interactive mode, tests can be reviewed through the provided interactive environment.
Author: Brodie Gaslam [aut, cre], Michael https://github.com/MichaelChirico [ctb], R Core Team [cph]
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>

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Package rfars readmission to version 2.0.2 with previous version 2.0.1 dated 2025-10-02

Title: Download and Analyze Crash Data
Description: Easily Download Analysis-Ready Crash Data from the U.S. National Highway Traffic Safety Administration.
Author: Steve Jackson [aut, cre]
Maintainer: Steve Jackson <steve.jackson@toxcel.com>

This is a re-admission after prior archival of version 2.0.1 dated 2025-10-02

Diff between rfars versions 2.0.1 dated 2025-10-02 and 2.0.2 dated 2025-10-22

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Package promises updated to version 1.4.0 with previous version 1.3.3 dated 2025-05-29

Title: Abstractions for Promise-Based Asynchronous Programming
Description: Provides fundamental abstractions for doing asynchronous programming in R using promises. Asynchronous programming is useful for allowing a single R process to orchestrate multiple tasks in the background while also attending to something else. Semantics are similar to 'JavaScript' promises, but with a syntax that is idiomatic R.
Author: Joe Cheng [aut], Barret Schloerke [aut, cre] , Winston Chang [aut] , Charlie Gao [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Barret Schloerke <barret@posit.co>

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Package depower updated to version 2025.10.21 with previous version 2025.1.20 dated 2025-01-23

Title: Power Analysis for Differential Expression Studies
Description: Provides a convenient framework to simulate, test, power, and visualize data for differential expression studies with lognormal or negative binomial outcomes. Supported designs are two-sample comparisons of independent or dependent outcomes. Power may be summarized in the context of controlling the per-family error rate or family-wise error rate. Negative binomial methods are described in Yu, Fernandez, and Brock (2017) <doi:10.1186/s12859-017-1648-2> and Yu, Fernandez, and Brock (2020) <doi:10.1186/s12859-020-3541-7>.
Author: Brett Klamer [aut, cre] , Lianbo Yu [aut]
Maintainer: Brett Klamer <code@brettklamer.com>

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Package cmsafops updated to version 1.4.2 with previous version 1.4.1 dated 2025-04-08

Title: Tools for CM SAF NetCDF Data
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<https://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsafops' R-package provides a collection of R-operators for the analysis and manipulation of CM SAF NetCDF formatted data. Other CF conform NetCDF data with time, longitude and latitude dimension should be applicable, but there is no guarantee for an error-free application. CM SAF climate data records are provided for free via (<https://wui.cmsaf.eu/safira>). Detailed information and test data are provided on the CM SAF webpage (<http://www.cmsaf.eu/R_toolbox& [...truncated...]
Author: Steffen Kothe [aut, cre], Danny Parsons [ctb]
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>

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 R/get_time_bounds_timrange.R             |   54 
 R/get_time_bounds_year.R                 |   26 
 R/get_time_info.R                        |   42 
 R/get_var_atts.R                         |   36 
 R/get_var_from_vars.R                    |   26 
 R/get_var_from_vars_all.R                |   26 
 R/get_var_prec.R                         |   16 
 R/gridboxmax.R                           |  130 -
 R/gridboxmean.R                          |  130 -
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 R/gridboxsd.R                            |  130 -
 R/gridboxsum.R                           |  130 -
 R/gridboxvar.R                           |  130 -
 R/gridboxx_wrapper.R                     |  558 ++---
 R/hourmean.R                             |  128 -
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 R/hourx_wrapper.R                        |  236 +-
 R/is_leap_year.R                         |    6 
 R/is_url.R                               |    4 
 R/keep_sig_alongside.R                   |only
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 R/map_regular.R                          |  598 +++---
 R/mermean.R                              |  126 -
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 R/monavg.R                               |  136 -
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 R/monmax.R                               |  124 -
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 R/monpctl.R                              |  134 -
 R/monsd.R                                |  126 -
 R/monsum.R                               |  124 -
 R/monvar.R                               |  126 -
 R/monx_wrapper.R                         |  342 +--
 R/muldpm.R                               |  130 -
 R/multimonmean.R                         |  342 +--
 R/multimonsum.R                          |  364 +--
 R/multiplelm.R                           |   34 
 R/ncinfo.R                               |  242 +-
 R/num_above.R                            |  134 -
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 R/num_equal.R                            |  134 -
 R/num_wrapper.R                          |  182 -
 R/read_file.R                            |  163 -
 R/read_file_all.R                        |  144 -
 R/read_gridfile.R                        |   54 
 R/read_ncvar.R                           |  174 -
 R/redefine_grid_vars.R                   |   72 
 R/release_questions.R                    |   36 
 R/remap.R                                |  660 +++---
 R/runmax.R                               |  132 -
 R/runmean.R                              |  126 -
 R/runmin.R                               |  130 -
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 R/seasmean.R                             |  128 -
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 R/seasvar.R                              |  130 -
 R/seasx_wrapper.R                        |  322 +--
 R/sellonlatbox.R                         |  446 ++--
 R/selmon.R                               |  310 +--
 R/selperiod.R                            |  356 +--
 R/selpoint.R                             |  506 ++---
 R/selpoint.multi.R                       |  800 ++++----
 R/seltime.R                              |  310 +--
 R/selyear.R                              |  314 +--
 R/set_seasons.R                          |   54 
 R/simplelm.R                             |   46 
 R/simplelm2.R                            |   50 
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 R/timavg.R                               |  138 -
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 R/timcovar.R                             |  152 -
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 R/wfldmean.R                             |  130 -
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 R/xdpm_wrapper.R                         |  244 +-
 R/ydaymax.R                              |  124 -
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 R/ydaymin.R                              |  124 -
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 R/ydrunmean.R                            |  132 -
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 R/ydrunsum.R                             |  132 -
 R/ydrunx_wrapper.R                       |   98 -
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 R/yearmax.R                              |  126 -
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 R/yearmin.R                              |  124 -
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 R/yearvar.R                              |  124 -
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 R/zonmean.R                              |  126 -
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 man/cmsaf.abs.Rd                         |  188 -
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 man/ncinfo.Rd                            |  126 -
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 man/zonmean.Rd                           |  170 -
 man/zonsum.Rd                            |  170 -
 tests/spelling.R                         |    6 
 tests/testdata/SelpointRef_A.csv         |   74 
 tests/testdata/SelpointRef_B.csv         |   74 
 tests/testthat.R                         |    8 
 tests/testthat/create_testdata.R         | 2964 +++++++++++++++----------------
 tests/testthat/helper.R                  |   16 
 tests/testthat/test_add_grid_info.R      | 1252 ++++++-------
 tests/testthat/test_box_mergetime.R      | 2314 ++++++++++++------------
 tests/testthat/test_change_att.R         | 1384 +++++++-------
 tests/testthat/test_cmsaf.abs.R          |  406 ++--
 tests/testthat/test_cmsaf.add.R          | 1934 ++++++++++----------
 tests/testthat/test_cmsaf.addc.R         | 1954 ++++++++++----------
 tests/testthat/test_cmsaf.cat.R          | 1562 ++++++++--------
 tests/testthat/test_cmsaf.detrend.R      |  394 ++--
 tests/testthat/test_cmsaf.div.R          | 1978 ++++++++++----------
 tests/testthat/test_cmsaf.divc.R         | 1808 +++++++++---------
 tests/testthat/test_cmsaf.mul.R          | 1944 ++++++++++----------
 tests/testthat/test_cmsaf.mulc.R         | 1946 ++++++++++----------
 tests/testthat/test_cmsaf.regres.R       |  378 +--
 tests/testthat/test_cmsaf.sub.R          | 1890 +++++++++----------
 tests/testthat/test_cmsaf.subc.R         | 1934 ++++++++++----------
 tests/testthat/test_dayavg.R             | 1376 +++++++-------
 tests/testthat/test_daymax.R             | 1376 +++++++-------
 tests/testthat/test_daymean.R            | 1376 +++++++-------
 tests/testthat/test_daymin.R             | 1376 +++++++-------
 tests/testthat/test_daypctl.R            | 1376 +++++++-------
 tests/testthat/test_dayrange.R           | 1256 ++++++-------
 tests/testthat/test_daysd.R              | 1376 +++++++-------
 tests/testthat/test_daysum.R             | 1376 +++++++-------
 tests/testthat/test_dayvar.R             | 1376 +++++++-------
 tests/testthat/test_divdpm.R             | 1180 ++++++------
 tests/testthat/test_extract.level.R      | 1546 +++-------------
 tests/testthat/test_extract.period.R     |  744 +++----
 tests/testthat/test_fldcor.R             |  168 -
 tests/testthat/test_fldcovar.R           |  168 -
 tests/testthat/test_fldmax.R             |  392 ++--
 tests/testthat/test_fldmean.R            |  390 ++--
 tests/testthat/test_fldmin.R             |  390 ++--
 tests/testthat/test_fldrange.R           |  392 ++--
 tests/testthat/test_fldsd.R              |  392 ++--
 tests/testthat/test_fldsum.R             |  392 ++--
 tests/testthat/test_gridboxmax.R         |  244 +-
 tests/testthat/test_gridboxmean.R        |  244 +-
 tests/testthat/test_gridboxmin.R         |  244 +-
 tests/testthat/test_gridboxrange.R       |  244 +-
 tests/testthat/test_gridboxsd.R          |  244 +-
 tests/testthat/test_gridboxsum.R         |  244 +-
 tests/testthat/test_gridboxvar.R         |  244 +-
 tests/testthat/test_levbox_mergetime.R   |  192 +-
 tests/testthat/test_mermean.R            |  184 -
 tests/testthat/test_mon.anomaly.R        |  226 +-
 tests/testthat/test_monavg.R             |  422 ++--
 tests/testthat/test_monmax.R             |  412 ++--
 tests/testthat/test_monmean.R            |  410 ++--
 tests/testthat/test_monmin.R             |  410 ++--
 tests/testthat/test_monpctl.R            |  428 ++--
 tests/testthat/test_monsd.R              |  416 ++--
 tests/testthat/test_monsum.R             |  414 ++--
 tests/testthat/test_monvar.R             |  428 ++--
 tests/testthat/test_muldpm.R             |  178 -
 tests/testthat/test_multimonmean.R       |  178 -
 tests/testthat/test_multimonsum.R        |  180 -
 tests/testthat/test_runmax.R             |  188 -
 tests/testthat/test_runmean.R            |  192 +-
 tests/testthat/test_runmin.R             |  190 -
 tests/testthat/test_runrange.R           |  172 -
 tests/testthat/test_runsd.R              |  188 -
 tests/testthat/test_runsum.R             |  190 -
 tests/testthat/test_seasmean.R           |  178 -
 tests/testthat/test_seassd.R             |  260 +-
 tests/testthat/test_seassum.R            |  178 -
 tests/testthat/test_seasvar.R            |  260 +-
 tests/testthat/test_sellonlatbox.R       | 2264 +++++++++++------------
 tests/testthat/test_selmon.R             | 1834 +++++++++----------
 tests/testthat/test_selperiod.R          | 1832 +++++++++----------
 tests/testthat/test_selpoint.R           | 1728 +++++++++---------
 tests/testthat/test_selpoint.multi.R     |  144 -
 tests/testthat/test_seltime.R            | 1518 +++++++--------
 tests/testthat/test_selyear.R            | 1832 +++++++++----------
 tests/testthat/test_timavg.R             | 1462 +++++++--------
 tests/testthat/test_timcor.R             |  234 +-
 tests/testthat/test_timcovar.R           |  232 +-
 tests/testthat/test_timcumsum.R          |  762 +++----
 tests/testthat/test_timmax.R             | 1612 ++++++++--------
 tests/testthat/test_timmean.R            | 1462 +++++++--------
 tests/testthat/test_timmin.R             | 1612 ++++++++--------
 tests/testthat/test_timpctl.R            | 1922 ++++++++++----------
 tests/testthat/test_timsd.R              | 1608 ++++++++--------
 tests/testthat/test_timselmean.R         |  192 +-
 tests/testthat/test_timselsum.R          |  192 +-
 tests/testthat/test_timsum.R             | 1460 +++++++--------
 tests/testthat/test_wfldmean.R           |  382 +--
 tests/testthat/test_ydaymax.R            |  534 ++---
 tests/testthat/test_ydaymean.R           |  508 ++---
 tests/testthat/test_ydaymin.R            |  534 ++---
 tests/testthat/test_ydayrange.R          |  466 ++--
 tests/testthat/test_ydaysd.R             |  466 ++--
 tests/testthat/test_ydaysum.R            |  534 ++---
 tests/testthat/test_ydrunmean.R          |  242 +-
 tests/testthat/test_ydrunsd.R            |  246 +-
 tests/testthat/test_ydrunsum.R           |  238 +-
 tests/testthat/test_year.anomaly.R       |  386 ++--
 tests/testthat/test_yearmax.R            |  406 ++--
 tests/testthat/test_yearmean.R           |  388 ++--
 tests/testthat/test_yearmin.R            |  406 ++--
 tests/testthat/test_yearrange.R          |  406 ++--
 tests/testthat/test_yearsd.R             |  406 ++--
 tests/testthat/test_yearsum.R            |  396 ++--
 tests/testthat/test_yearvar.R            |  406 ++--
 tests/testthat/test_ymonmax.R            |  886 ++++-----
 tests/testthat/test_ymonmean.R           |  408 ++--
 tests/testthat/test_ymonmin.R            |  408 ++--
 tests/testthat/test_ymonsd.R             |  414 ++--
 tests/testthat/test_ymonsum.R            |  408 ++--
 tests/testthat/test_yseasmax.R           |  404 ++--
 tests/testthat/test_yseasmean.R          |  404 ++--
 tests/testthat/test_yseasmin.R           |  404 ++--
 tests/testthat/test_yseassd.R            |  408 ++--
 tests/testthat/test_zonmean.R            |  176 -
 tests/testthat/test_zonsum.R             |  176 -
 507 files changed, 79228 insertions(+), 80102 deletions(-)

More information about cmsafops at CRAN
Permanent link

Package clusterGGM updated to version 0.1.1 with previous version 0.1.0 dated 2025-10-17

Title: Sparse Gaussian Graphical Modeling with Variable Clustering
Description: Perform sparse estimation of a Gaussian graphical model (GGM) with node aggregation through variable clustering. Currently, the package implements the clusterpath estimator of the Gaussian graphical model (CGGM) (Touw, Alfons, Groenen & Wilms, 2025; <doi:10.48550/arXiv.2407.00644>).
Author: Daniel J.W. Touw [aut] , Andreas Alfons [aut, cre] , Ines Wilms [aut] , Patrick J.F. Groenen [ths]
Maintainer: Andreas Alfons <alfons@ese.eur.nl>

Diff between clusterGGM versions 0.1.0 dated 2025-10-17 and 0.1.1 dated 2025-10-22

 clusterGGM-0.1.0/clusterGGM/src/clock.h         |only
 clusterGGM-0.1.1/clusterGGM/DESCRIPTION         |    8 +-
 clusterGGM-0.1.1/clusterGGM/MD5                 |   16 ++---
 clusterGGM-0.1.1/clusterGGM/NEWS                |only
 clusterGGM-0.1.1/clusterGGM/R/cggm.R            |    3 -
 clusterGGM-0.1.1/clusterGGM/R/cggm_wrapper.R    |    2 
 clusterGGM-0.1.1/clusterGGM/build/partial.rdb   |binary
 clusterGGM-0.1.1/clusterGGM/man/cggm.Rd         |    3 -
 clusterGGM-0.1.1/clusterGGM/src/cggm_export.cpp |   66 ------------------------
 clusterGGM-0.1.1/clusterGGM/src/utils.cpp       |   14 +++++
 10 files changed, 26 insertions(+), 86 deletions(-)

More information about clusterGGM at CRAN
Permanent link

Package lsirm12pl updated to version 1.3.9 with previous version 1.3.8 dated 2025-10-14

Title: Latent Space Item Response Model
Description: Analysis of dichotomous and continuous response data using latent factor by both 1PL LSIRM and 2PL LSIRM as described in Jeon et al. (2021) <doi:10.1007/s11336-021-09762-5>. It includes original 1PL LSIRM and 2PL LSIRM provided for binary response data and its extension for continuous response data. Bayesian model selection with spike-and-slab prior and method for dealing data with missing value under missing at random, missing completely at random are also supported. Various diagnostic plots are available to inspect the latent space and summary of estimated parameters.
Author: Dongyoung Go [aut], Gwanghee Kim [aut, cre], Jina Park [aut], Ickhoon Jin [ctb], Minjeong Jeon [ctb]
Maintainer: Gwanghee Kim <musagh08@yonsei.ac.kr>

Diff between lsirm12pl versions 1.3.8 dated 2025-10-14 and 1.3.9 dated 2025-10-22

 DESCRIPTION                             |    8 
 MD5                                     |  162 ++++++-------
 R/RcppExports.R                         |  144 ++++++------
 R/lsirm.R                               |  243 ++++++++++----------
 R/lsirm1pl_fixed_gamma.R                |   11 
 R/lsirm1pl_fixed_gamma_mar.R            |   10 
 R/lsirm1pl_fixed_gamma_mcar.R           |   11 
 R/lsirm1pl_mar.R                        |    9 
 R/lsirm1pl_mar_ss.R                     |   14 -
 R/lsirm1pl_mcar.R                       |    9 
 R/lsirm1pl_mcar_ss.R                    |    8 
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 src/RcppExports.cpp                     |  378 +++++++++++++++++++-------------
 src/lsirm1pl.cpp                        |  256 ++++++++++++---------
 src/lsirm2pl.cpp                        |  334 +++++++++++++++-------------
 src/utility_cpp.cpp                     |   93 ++++---
 82 files changed, 1623 insertions(+), 1156 deletions(-)

More information about lsirm12pl at CRAN
Permanent link

Package psychonetrics updated to version 0.13.2 with previous version 0.13.1 dated 2025-06-02

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

Diff between psychonetrics versions 0.13.1 dated 2025-06-02 and 0.13.2 dated 2025-10-22

 DESCRIPTION                                         |    7 
 MD5                                                 |  512 ++--
 NAMESPACE                                           |  400 +--
 NEWS                                                |  382 +--
 R/00_codeOrganization.R                             |   44 
 R/00_steps_to_implement_distribution.R              |   20 
 R/00_steps_to_implement_estimator.R                 |   18 
 R/00_steps_to_implement_model.R                     |   30 
 R/01_classes.R                                      |  444 ++--
 R/02_algebrahelpers_Solve.R                         |  122 -
 R/02_algebrahelpers_blockToeplitz.R                 |   40 
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 R/02_algebrahelpers_expectedmodel.R                 |   48 
 R/02_algebrahelpers_kronecker.R                     |    2 
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 R/02_algebrahelpers_matrixexponent.R                |   20 
 R/02_algebrahelpers_maxcor.R                        |   22 
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 R/02_algebrahelpers_trysolve.R                      |   52 
 R/02_algebrahelpers_vectorize.R                     |   56 
 R/02_algebrahelpers_vectorizeMatrices.R             |  116 -
 R/02_algebrahelpers_weighted_geomean.R              |    2 
 R/02_modelformation_PCCPDC.R                        |   32 
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 R/04_generalfit_FisherInformation.R                 |  468 ++--
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 R/a_models_bifactor.R                               |   90 
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 257 files changed, 27068 insertions(+), 26941 deletions(-)

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Package galaxias updated to version 0.1.1 with previous version 0.1.0 dated 2025-07-07

Title: Describe, Package, and Share Biodiversity Data
Description: The Darwin Core data standard is widely used to share biodiversity information, most notably by the Global Biodiversity Information Facility and its partner nodes; but converting data to this standard can be tricky. 'galaxias' is functionally similar to 'devtools', but with a focus on building Darwin Core Archives rather than R packages, enabling data to be shared and re-used with relative ease. For details see Wieczorek and colleagues (2012) <doi:10.1371/journal.pone.0029715>.
Author: Martin Westgate [aut, cre], Shandiya Balasubramaniam [aut], Dax Kellie [aut]
Maintainer: Martin Westgate <martin.westgate@csiro.au>

Diff between galaxias versions 0.1.0 dated 2025-07-07 and 0.1.1 dated 2025-10-22

 DESCRIPTION                         |    6 
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 13 files changed, 229 insertions(+), 196 deletions(-)

More information about galaxias at CRAN
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Package Directional updated to version 7.3 with previous version 7.2 dated 2025-07-02

Title: A Collection of Functions for Directional Data Analysis
Description: A collection of functions for directional data (including massive data, with millions of observations) analysis. Hypothesis testing, discriminant and regression analysis, MLE of distributions and more are included. The standard textbook for such data is the "Directional Statistics" by Mardia, K. V. and Jupp, P. E. (2000). Other references include: a) Paine J.P., Preston S.P., Tsagris M. and Wood A.T.A. (2018). "An elliptically symmetric angular Gaussian distribution". Statistics and Computing 28(3): 689-697. <doi:10.1007/s11222-017-9756-4>. b) Tsagris M. and Alenazi A. (2019). "Comparison of discriminant analysis methods on the sphere". Communications in Statistics: Case Studies, Data Analysis and Applications 5(4):467--491. <doi:10.1080/23737484.2019.1684854>. c) Paine J.P., Preston S.P., Tsagris M. and Wood A.T.A. (2020). "Spherical regression models with general covariates and anisotropic errors". Statistics and Computing 30(1): 153--165. <doi:10.1007/s11222-019-09872 [...truncated...]
Author: Michail Tsagris [aut, cre], Giorgos Athineou [aut], Christos Adam [aut], Zehao Yu [aut], Anamul Sajib [ctb], Eli Amson [ctb], Micah J. Waldstein [ctb], Panagiotis Papastamoulis [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between Directional versions 7.2 dated 2025-07-02 and 7.3 dated 2025-10-22

 DESCRIPTION                |   12 +++++-----
 MD5                        |   54 ++++++++++++++++++++++-----------------------
 R/cardio.mle.R             |   23 ++++++++++++-------
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Package arcgislayers updated to version 0.5.1 with previous version 0.5.0 dated 2025-09-19

Title: Harness ArcGIS Data Services
Description: Enables users of 'ArcGIS Enterprise', 'ArcGIS Online', or 'ArcGIS Platform' to read, write, publish, or manage vector and raster data via ArcGIS location services REST API endpoints <https://developers.arcgis.com/rest/>.
Author: Josiah Parry [aut, cre] , Eli Pousson [ctb] , Kenneth Vernon [ctb] , Martha Bass [ctb] , Antony Barja [ctb]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

Diff between arcgislayers versions 0.5.0 dated 2025-09-19 and 0.5.1 dated 2025-10-22

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Package ggscidca updated to version 0.2.6 with previous version 0.2.5 dated 2025-09-05

Title: Plotting Decision Curve Analysis with Coloured Bars
Description: Decision curve analysis is a method for evaluating and comparing prediction models that incorporates clinical consequences, requires only the data set on which the models are tested, and can be applied to models that have either continuous or dichotomous results. The 'ggscidca' package adds coloured bars of discriminant relevance to the traditional decision curve. Improved practicality and aesthetics. This method was described by Balachandran VP (2015) <doi:10.1016/S1470-2045(14)71116-7>.
Author: Qiang Liu [aut, cre]
Maintainer: Qiang Liu <dege857@163.com>

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Tue, 21 Oct 2025

Package writeAlizer updated to version 1.7.0 with previous version 1.6.4 dated 2025-09-30

Title: Generate Predicted Writing Quality Scores
Description: Imports variables from 'ReaderBench' (Dascalu et al., 2018)<doi:10.1007/978-3-319-66610-5_48>, 'Coh-Metrix' (McNamara et al., 2014)<doi:10.1017/CBO9780511894664>, and/or 'GAMET' (Crossley et al., 2019) <doi:10.17239/jowr-2019.11.02.01> output files; downloads predictive scoring models described in Mercer & Cannon (2022)<doi:10.31244/jero.2022.01.03> and Mercer et al.(2021)<doi:10.1177/0829573520987753>; and generates predicted writing quality and curriculum-based measurement (McMaster & Espin, 2007)<doi:10.1177/00224669070410020301> scores.
Author: Sterett H. Mercer [aut, cre]
Maintainer: Sterett H. Mercer <sterett.mercer@ubc.ca>

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Package UComp updated to version 5.1.3 with previous version 5.1.2 dated 2025-10-21

Title: Automatic Univariate Time Series Modelling of many Kinds
Description: Comprehensive analysis and forecasting of univariate time series using automatic time series models of many kinds. Harvey AC (1989) <doi:10.1017/CBO9781107049994>. Pedregal DJ and Young PC (2002) <doi:10.1002/9780470996430>. Durbin J and Koopman SJ (2012) <doi:10.1093/acprof:oso/9780199641178.001.0001>. Hyndman RJ, Koehler AB, Ord JK, and Snyder RD (2008) <doi:10.1007/978-3-540-71918-2>. Gómez V, Maravall A (2000) <doi:10.1002/9781118032978>. Pedregal DJ, Trapero JR and Holgado E (2024) <doi:10.1016/j.ijforecast.2023.09.004>.
Author: Diego J. Pedregal [aut, cre]
Maintainer: Diego J. Pedregal <Diego.Pedregal@uclm.es>

Diff between UComp versions 5.1.2 dated 2025-10-21 and 5.1.3 dated 2025-10-21

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Package medfate updated to version 4.8.4 with previous version 4.8.3 dated 2025-08-27

Title: Mediterranean Forest Simulation
Description: Simulate Mediterranean forest functioning and dynamics using cohort-based description of vegetation [De Caceres et al. (2015) <doi:10.1016/j.agrformet.2015.06.012>; De Caceres et al. (2021) <doi:10.1016/j.agrformet.2020.108233>].
Author: Miquel De Caceres [aut, cre, cph] , Nicolas Martin-StPaul [aut] , Victor Granda [aut] , Antoine Cabon [aut] , Arsene Druel [aut] , Julien Ruffault [aut] , Jordi Martinez-Vilalta [ctb] , Maurizio Mencuccini [ctb] , Francois Pimont [ctb] , Herve Cochar [...truncated...]
Maintainer: Miquel De Caceres <miquelcaceres@gmail.com>

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Package RSSL updated to version 0.9.8 with previous version 0.9.7 dated 2023-12-07

Title: Implementations of Semi-Supervised Learning Approaches for Classification
Description: A collection of implementations of semi-supervised classifiers and methods to evaluate their performance. The package includes implementations of, among others, Implicitly Constrained Learning, Moment Constrained Learning, the Transductive SVM, Manifold regularization, Maximum Contrastive Pessimistic Likelihood estimation, S4VM and WellSVM.
Author: Jesse Krijthe [aut, cre]
Maintainer: Jesse Krijthe <jkrijthe@gmail.com>

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Package robflreg updated to version 1.3 with previous version 1.2 dated 2024-01-23

Title: Robust Functional Linear Regression
Description: Functions for implementing robust methods for functional linear regression. In the functional linear regression, we consider scalar-on-function linear regression and function-on-function linear regression.
Author: Ufuk Beyaztas [aut, cre, cph] , Han Lin Shang [aut]
Maintainer: Ufuk Beyaztas <ufukbeyaztas@gmail.com>

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Package lax updated to version 1.2.4 with previous version 1.2.3 dated 2024-02-25

Title: Loglikelihood Adjustment for Extreme Value Models
Description: Performs adjusted inferences based on model objects fitted, using maximum likelihood estimation, by the extreme value analysis packages 'eva' <https://cran.r-project.org/package=eva>, 'evd' <https://cran.r-project.org/package=evd>, 'evir' <https://cran.r-project.org/package=evir>, 'extRemes' <https://cran.r-project.org/package=extRemes>, 'fExtremes' <https://cran.r-project.org/package=fExtremes>, 'ismev' <https://cran.r-project.org/package=ismev>, 'mev' <https://cran.r-project.org/package=mev>, 'POT' <https://cran.r-project.org/package=POT> and 'texmex' <https://cran.r-project.org/package=texmex>. Adjusted standard errors and an adjusted loglikelihood are provided, using the 'chandwich' package <https://cran.r-project.org/package=chandwich> and the object-oriented features of the 'sandwich' package <https://cran.r-project.org/package=sandwich>. The adjustment is based on a robust sandwich estimator of the parameter covar [...truncated...]
Author: Paul J. Northrop [aut, cre, cph], Camellia Yin [aut, cph]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>

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Package IssueTrackeR updated to version 1.3.0 with previous version 1.2.0 dated 2025-07-16

Title: List Things to Do
Description: Manage a 'GitHub' problem using R: wrangle issues, labels and milestones. It includes functions for storing, prioritizing (sorting), displaying, adding, deleting, and selecting (filtering) issues based on qualitative and quantitative information. Issues (labels and milestones) are written in lists and categorized into the S3 class to be easily manipulated as datasets in R.
Author: Tanguy Barthelemy [aut, cre]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>

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Package momentuHMM updated to version 1.5.7 with previous version 1.5.6 dated 2025-07-21

Title: Maximum Likelihood Analysis of Animal Movement Behavior Using Multivariate Hidden Markov Models
Description: Extended tools for analyzing telemetry data using generalized hidden Markov models. Features of momentuHMM (pronounced ``momentum'') include data pre-processing and visualization, fitting HMMs to location and auxiliary biotelemetry or environmental data, biased and correlated random walk movement models, hierarchical HMMs, multiple imputation for incorporating location measurement error and missing data, user-specified design matrices and constraints for covariate modelling of parameters, random effects, decoding of the state process, visualization of fitted models, model checking and selection, and simulation. See McClintock and Michelot (2018) <doi:10.1111/2041-210X.12995>.
Author: Brett McClintock [aut, cre], Theo Michelot [aut]
Maintainer: Brett McClintock <brett.mcclintock@noaa.gov>

Diff between momentuHMM versions 1.5.6 dated 2025-07-21 and 1.5.7 dated 2025-10-21

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New package GHRmodel with initial version 0.1.0
Package: GHRmodel
Title: Bayesian Hierarchical Modelling of Spatio-Temporal Health Data
Version: 0.1.0
Description: Supports modeling health outcomes using Bayesian hierarchical spatio-temporal models with complex covariate effects (e.g., linear, non-linear, interactions, distributed lag linear and non-linear models) in the 'INLA' framework. It is designed to help users identify key drivers and predictors of disease risk by enabling streamlined model exploration, comparison, and visualization of complex covariate effects. See an application of the modelling framework in Lowe, Lee, O'Reilly et al. (2021) <doi:10.1016/S2542-5196(20)30292-8>.
License: GPL (>= 2)
URL: https://gitlab.earth.bsc.es/ghr/ghrmodel, https://bsc-es.github.io/GHRtools/docs/GHRmodel/GHRmodel
BugReports: https://gitlab.earth.bsc.es/ghr/ghrmodel/-/issues
Depends: R (>= 4.1.0)
Imports: cowplot, dlnm, dplyr, ggplot2 (>= 3.5.0), GHRexplore, rlang, scales, tidyr, tidyselect
Suggests: INLA, sf, sn, RColorBrewer, colorspace, testthat (>= 3.0.0), spdep, knitr, rmarkdown
Additional_repositories: https://inla.r-inla-download.org/R/stable
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-17 13:18:53 UTC; cmilagar
Author: Carles Mila [aut, cre] , Giovenale Moirano [aut] , Anna B. Kawiecki [aut] , Rachel Lowe [aut]
Maintainer: Carles Mila <carles.milagarcia@bsc.es>
Repository: CRAN
Date/Publication: 2025-10-21 18:10:02 UTC

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New package testthatdocs with initial version 1.0.23
Package: testthatdocs
Title: Automated and Idempotent Unit Tests Documentation for Reproducible Quality Assurance
Version: 1.0.23
Description: Automates documentation of test_that() calls within R test files. The package scans test sources, extracts human-readable test titles (even when composed with functions like paste() or glue::glue(), ... etc.), and generates reproducible roxygen2-style listings that can be inserted both globally and per-section. It ensures idempotent updates and supports customizable numbering templates with hierarchical indices. Designed for developers, QA teams, and package maintainers seeking consistent, self-documenting test inventories.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Imports:
Suggests: testthat (>= 3.0.0), glue, knitr, rmarkdown, withr
VignetteBuilder: knitr
URL: https://github.com/urniaz/testthatdocs
BugReports: https://github.com/urniaz/testthatdocs/issues
NeedsCompilation: no
Packaged: 2025-10-16 21:53:04 UTC; urniaz
Author: Rafal Urniaz [aut, cre]
Maintainer: Rafal Urniaz <rafal.urniaz@cantab.net>
Repository: CRAN
Date/Publication: 2025-10-21 17:50:02 UTC

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New package LLMing with initial version 1.0.0
Package: LLMing
Title: Large Language Model (LLM) Tools for Psychological Text Analysis
Version: 1.0.0
Maintainer: Lindley Slipetz <ddj6tu@virginia.edu>
Description: A collection of large language model (LLM) text analysis methods designed with psychological data in mind. Currently, LLMing (aka "lemming") includes a text anomaly detection method based on the angle-based subspace approach described by Zhang, Lin, and Karim (2015) <doi:10.1016/j.ress.2015.05.025>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rdpack, quanteda, stopwords, stringi, reticulate, text, dbscan, pracma, stats
URL: https://github.com/sliplr19/LLMing
BugReports: https://github.com/sliplr19/LLMing/issues
NeedsCompilation: no
Packaged: 2025-10-16 16:16:03 UTC; ddj6tu
Author: Lindley Slipetz [aut, cre], Teague Henry [aut], Siqi Sun [ctb]
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2025-10-21 17:50:06 UTC

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New package FracFixR with initial version 1.0.0
Package: FracFixR
Title: Compositional Statistical Framework for RNA Fractionation Analysis
Version: 1.0.0
Date: 2025-10-16
Description: A compositional statistical framework for absolute proportion estimation between fractions in RNA sequencing data. 'FracFixR' addresses the fundamental challenge in fractionated RNA-seq experiments where library preparation and sequencing depth obscure the original proportions of RNA fractions. It reconstructs original fraction proportions using non-negative linear regression, estimates the "lost" unrecoverable fraction, corrects individual transcript frequencies, and performs differential proportion testing between conditions. Supports any RNA fractionation protocol including polysome profiling, sub-cellular localization, and RNA-protein complex isolation.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: future.apply (>= 1.8.1), nnls (>= 1.4), ggplot2 (>= 3.3.5), dplyr (>= 1.0.7), RColorBrewer (>= 1.1-2), tidyr (>= 1.1.3), matrixStats (>= 0.60.0), aod (>= 1.3.1), stats, utils, future, grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-16 02:59:56 UTC; acleynen
Author: Alice Cleynen [aut, cre] , Agin Ravindran [aut], Nikolay Shirokikh [aut]
Maintainer: Alice Cleynen <alice.cleynen@cnrs.fr>
Repository: CRAN
Date/Publication: 2025-10-21 17:40:02 UTC

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New package EFM with initial version 0.5.0
Package: EFM
Version: 0.5.0
Title: Elliptical Factor Models
Description: The elliptical factor model, as an extension of the traditional factor model, effectively overcomes the limitations of the traditional model when dealing with heavy-tailed characteristic data. This package implements sparse principal component methods (SPC) and bi-sparse online principal component estimation (SPOC) for parameter estimation. Includes functionality for calculating mean squared error, relative error, and loading matrix sparsity.The philosophy of the package is described in Guo G. (2023) <doi:10.1007/s00180-022-01270-z>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: MASS, stats, SOPC, matrixcalc
Suggests: testthat (>= 3.0.0), ggplot2, pracma, psych, sn
Depends: R (>= 3.5.0)
NeedsCompilation: no
Language: en-US
Maintainer: Guangbao Guo <ggb11111111@163.com>
Packaged: 2025-10-17 03:33:53 UTC; 86187
Author: Guangbao Guo [aut, cre], Yuanyuan Zhou [aut]
Repository: CRAN
Date/Publication: 2025-10-21 18:00:02 UTC

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New package AgeTopicModels with initial version 0.1.0
Package: AgeTopicModels
Title: Inferring Age-Dependent Disease Topic from Diagnosis Data
Version: 0.1.0
Description: We propose an age-dependent topic modelling (ATM) model, providing a low-rank representation of longitudinal records of hundreds of distinct diseases in large electronic health record data sets. The model assigns to each individual topic weights for several disease topics; each disease topic reflects a set of diseases that tend to co-occur as a function of age, quantified by age-dependent topic loadings for each disease. The model assumes that for each disease diagnosis, a topic is sampled based on the individual’s topic weights (which sum to 1 across topics, for a given individual), and a disease is sampled based on the individual’s age and the age-dependent topic loadings (which sum to 1 across diseases, for a given topic at a given age). The model generalises the Latent Dirichlet Allocation (LDA) model by allowing topic loadings for each topic to vary with age. References: Jiang (2023) <doi:10.1038/s41588-023-01522-8>.
License: MIT + file LICENSE
Depends: R (>= 3.5)
Imports: dplyr, ggplot2, ggrepel, grDevices, gtools, magrittr, pROC, reshape2, rlang, stats, stringr, tibble, tidyr, utils
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2025-10-16 18:35:44 UTC; xj262
Author: Xilin Jiang [aut, cre]
Maintainer: Xilin Jiang <jiangxilin1@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-21 17:50:11 UTC

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Package VSURF updated to version 1.2.1 with previous version 1.2.0 dated 2022-12-15

Title: Variable Selection Using Random Forests
Description: Three steps variable selection procedure based on random forests. Initially developed to handle high dimensional data (for which number of variables largely exceeds number of observations), the package is very versatile and can treat most dimensions of data, for regression and supervised classification problems. First step is dedicated to eliminate irrelevant variables from the dataset. Second step aims to select all variables related to the response for interpretation purpose. Third step refines the selection by eliminating redundancy in the set of variables selected by the second step, for prediction purpose. Genuer, R. Poggi, J.-M. and Tuleau-Malot, C. (2015) <https://journal.r-project.org/articles/RJ-2015-018/>.
Author: Robin Genuer [aut, cre], Jean-Michel Poggi [aut], Christine Tuleau-Malot [aut]
Maintainer: Robin Genuer <Robin.Genuer@u-bordeaux.fr>

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Package svglite updated to version 2.2.2 with previous version 2.2.1 dated 2025-05-12

Title: An 'SVG' Graphics Device
Description: A graphics device for R that produces 'Scalable Vector Graphics'. 'svglite' is a fork of the older 'RSvgDevice' package.
Author: Hadley Wickham [aut], Lionel Henry [aut], Thomas Lin Pedersen [cre, aut] , T Jake Luciani [aut], Matthieu Decorde [aut], Vaudor Lise [aut], Tony Plate [ctb] , David Gohel [ctb] , Yixuan Qiu [ctb] , Hakon Malmedal [ctb] , Posit Software, PBC [cph, fnd [...truncated...]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package numbat updated to version 1.5.1 with previous version 1.4.2 dated 2024-09-20

Title: Haplotype-Aware CNV Analysis from scRNA-Seq
Description: A computational method that infers copy number variations (CNVs) in cancer scRNA-seq data and reconstructs the tumor phylogeny. 'numbat' integrates signals from gene expression, allelic ratio, and population haplotype structures to accurately infer allele-specific CNVs in single cells and reconstruct their lineage relationship. 'numbat' can be used to: 1. detect allele-specific copy number variations from single-cells; 2. differentiate tumor versus normal cells in the tumor microenvironment; 3. infer the clonal architecture and evolutionary history of profiled tumors. 'numbat' does not require tumor/normal-paired DNA or genotype data, but operates solely on the donor scRNA-data data (for example, 10x Cell Ranger output). Additional examples and documentations are available at <https://kharchenkolab.github.io/numbat/>. For details on the method please see Gao et al. Nature Biotechnology (2022) <doi:10.1038/s41587-022-01468-y>.
Author: Teng Gao [cre, aut], Ruslan Soldatov [aut], Hirak Sarkar [aut], Evan Biederstedt [aut], Peter Kharchenko [aut]
Maintainer: Teng Gao <tgaoteng@gmail.com>

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Package mets updated to version 1.3.8 with previous version 1.3.7 dated 2025-08-30

Title: Analysis of Multivariate Event Times
Description: Implementation of various statistical models for multivariate event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>. Modern methods for survival analysis, including regression modelling (Cox, Fine-Gray, Ghosh-Lin, Binomial regression) with fast computation of influence functions.
Author: Klaus K. Holst [aut, cre], Thomas Scheike [aut]
Maintainer: Klaus K. Holst <klaus@holst.it>

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Package copre updated to version 0.2.2 with previous version 0.2.1 dated 2024-05-21

Title: Tools for Nonparametric Martingale Posterior Sampling
Description: Performs Bayesian nonparametric density estimation using Martingale posterior distributions including the Copula Resampling (CopRe) algorithm. Also included are a Gibbs sampler for the marginal Gibbs-type mixture model and an extension to include full uncertainty quantification via a predictive sequence resampling (SeqRe) algorithm. The CopRe and SeqRe samplers generate random nonparametric distributions as output, leading to complete nonparametric inference on posterior summaries. Routines for calculating arbitrary functionals from the sampled distributions are included as well as an important algorithm for finding the number and location of modes, which can then be used to estimate the clusters in the data using, for example, k-means. Implements work developed in Moya B., Walker S. G. (2022). <doi:10.48550/arxiv.2206.08418>, Fong, E., Holmes, C., Walker, S. G. (2021) <doi:10.48550/arxiv.2103.15671>, and Escobar M. D., West, M. (1995) <doi:10.1080/01621459.1995.10476550 [...truncated...]
Author: Blake Moya [cre, aut], The University of Texas at Austin [cph, fnd]
Maintainer: Blake Moya <blakemoya@utexas.edu>

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Package cmsafvis updated to version 1.3.0 with previous version 1.2.9 dated 2024-09-30

Title: Tools to Visualize CM SAF NetCDF Data
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<https://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsafvis' R-package provides a collection of R-operators for the analysis and visualization of CM SAF NetCDF data. CM SAF climate data records are provided for free via (<https://wui.cmsaf.eu/safira>). Detailed information and test data are provided on the CM SAF webpage (<http://www.cmsaf.eu/R_toolbox>).
Author: Steffen Kothe [aut, cre], Danny Parsons [ctb]
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>

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Package MLwrap updated to version 0.2.1 with previous version 0.2.0 dated 2025-10-11

Title: Machine Learning Modelling for Everyone
Description: A minimal library specifically designed to make the estimation of Machine Learning (ML) techniques as easy and accessible as possible, particularly within the framework of the Knowledge Discovery in Databases (KDD) process in data mining. The package provides essential tools to structure and execute each stage of a predictive or classification modeling workflow, aligning closely with the fundamental steps of the KDD methodology, from data selection and preparation, through model building and tuning, to the interpretation and evaluation of results using Sensitivity Analysis. The 'MLwrap' workflow is organized into four core steps; preprocessing(), build_model(), fine_tuning(), and sensitivity_analysis(). These steps correspond, respectively, to data preparation and transformation, model construction, hyperparameter optimization, and sensitivity analysis. The user can access comprehensive model evaluation results including fit assessment metrics, plots, predictions, and performance diagn [...truncated...]
Author: Javier Martinez Garcia [aut] , Juan Jose Montano Moreno [ctb] , Albert Sese [cre, ctb]
Maintainer: Albert Sese <albert.sese@uib.es>

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Package modelSelection updated to version 1.0.4 with previous version 1.0.3 dated 2025-09-21

Title: High-Dimensional Model Selection
Description: Model selection and averaging for regression, generalized linear models, generalized additive models, graphical models and mixtures, focusing on Bayesian model selection and information criteria (Bayesian information criterion etc.). See Rossell (2025) <doi:10.5281/zenodo.17119597> (see the URL field below for its URL) for a hands-on book describing the methods, examples and suggested citations if you use the package.
Author: David Rossell [aut, cre], John D. Cook [ctb], Donatello Telesca [aut], P. Roebuck [ctb], Oriol Abril [aut], Miquel Torrens [aut], Peter Mueller [ctb], William Hallahan [ctb]
Maintainer: David Rossell <rosselldavid@gmail.com>

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Package DominoDataR updated to version 0.3.0 with previous version 0.2.3 dated 2023-08-17

Title: 'Domino Data R SDK'
Description: A wrapper on top of the 'Domino Data Python SDK' library. It lets you query and access 'Domino Data Sources' directly from your R environment. Under the hood, 'Domino Data R SDK' leverages the API provided by the 'Domino Data Python SDK', which must be installed as a prerequisite. 'Domino' is a platform that makes it easy to run your code on scalable hardware, with integrated version control and collaboration features designed for analytical workflows. See <https://docs.dominodatalab.com/en/latest/api_guide/140b48/domino-data-api> for more information.
Author: Gabriel Haim [aut, cre]
Maintainer: Gabriel Haim <gabriel.haim@dominodatalab.com>

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Package R2MLwiN updated to version 0.8-10 with previous version 0.8-9 dated 2024-01-29

Title: Running 'MLwiN' from Within R
Description: An R command interface to the 'MLwiN' multilevel modelling software package.
Author: Zhengzheng Zhang [aut, cre], Chris Charlton [aut], Richard Parker [aut], George Leckie [aut], William Browne [aut]
Maintainer: Zhengzheng Zhang <zhengzheng236@gmail.com>

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Package inDAGO updated to version 1.0.3 with previous version 1.0.2 dated 2025-09-19

Title: A GUI for Dual and Bulk RNA-Sequencing Analysis
Description: A 'shiny' app that supports both dual and bulk RNA-seq, with the dual RNA-seq functionality offering the flexibility to perform either a sequential approach (where reads are mapped separately to each genome) or a combined approach (where reads are aligned to a single merged genome). The user-friendly interface automates the analysis process, providing step-by-step guidance, making it easy for users to navigate between different analysis steps, and download intermediate results and publication-ready plots.
Author: Carmine Fruggiero [aut, cre], Gaetano Aufiero [aut]
Maintainer: Carmine Fruggiero <fruggierocarmine3@gmail.com>

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Package atime updated to version 2025.9.30 with previous version 2025.5.24 dated 2025-05-27

Title: Asymptotic Timing
Description: Computing and visualizing comparative asymptotic timings of different algorithms and code versions. Also includes functionality for comparing empirical timings with expected references such as linear or quadratic, <https://en.wikipedia.org/wiki/Asymptotic_computational_complexity> Also includes functionality for measuring asymptotic memory and other quantities.
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

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Package SEMID updated to version 0.4.2 with previous version 0.4.1 dated 2023-07-19

Title: Identifiability of Linear Structural Equation Models
Description: Provides routines to check identifiability or non-identifiability of linear structural equation models as described in Drton, Foygel, and Sullivant (2011) <doi:10.1214/10-AOS859>, Foygel, Draisma, and Drton (2012) <doi:10.1214/12-AOS1012>, and other works. The routines are based on the graphical representation of structural equation models.
Author: Rina Foygel Barber [aut], Mathias Drton [aut], Luca Weihs [aut], Nils Sturma [cre, aut]
Maintainer: Nils Sturma <nils.sturma@epfl.ch>

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Package AnthropMMD updated to version 4.1.0 with previous version 4.0.3 dated 2023-11-29

Title: An R Package for the Mean Measure of Divergence (MMD)
Description: Offers a graphical user interface for the calculation of the mean measure of divergence, with facilities for trait selection and graphical representations <doi:10.1002/ajpa.23336>.
Author: Frederic Santos [aut, cre]
Maintainer: Frederic Santos <frederic.santos@u-bordeaux.fr>

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Package sulcimap updated to version 1.0.6 with previous version 1.0.5 dated 2025-10-14

Title: Mapping Cortical Folding Patterns
Description: Visualizes sulcal morphometry data derived from 'BrainVisa' <https://brainvisa.info/> including width, depth, surface area, and length. The package enables mapping of statistical group results or subject-level values onto cortical surface maps, with options to focus on all sulci or only selected regions of interest. Users can display all four measures simultaneously or restrict plots to chosen measures, creating composite, publication-quality brain visualizations in R to support the analysis and interpretation of sulcal morphology.
Author: Mahan Shafie [aut, cre], Fabrizio Pizzagalli [aut]
Maintainer: Mahan Shafie <mahan.shafie@unito.it>

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Package SerolyzeR updated to version 1.3.1 with previous version 1.3.0 dated 2025-07-18

Title: Reading, Quality Control and Preprocessing of MBA (Multiplex Bead Assay) Data
Description: Speeds up the process of loading raw data from MBA (Multiplex Bead Assay) examinations, performs quality control checks, and automatically normalises the data, preparing it for more advanced, downstream tasks. The main objective of the package is to create a simple environment for a user, who does not necessarily have experience with R language. The package is developed within the project 'PvSTATEM', which is an international project aiming for malaria elimination.
Author: Jakub Grzywaczewski [aut, cre], Tymoteusz Kwiecinski [aut] , Mateusz Nizwantowski [aut], Przemyslaw Biecek [ths] , Nuno Sepulveda [ths]
Maintainer: Jakub Grzywaczewski <jakubzgrzywaczewski@gmail.com>

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Package pubh updated to version 3.0.0 with previous version 2.0.0 dated 2024-10-08

Title: A Toolbox for Public Health and Epidemiology
Description: A toolbox for making R functions and capabilities more accessible to students and professionals from Epidemiology and Public Health related disciplines. Includes a function to report coefficients and confidence intervals from models using robust standard errors (when available), functions that expand 'ggplot2' plots and functions relevant for introductory papers in Epidemiology or Public Health. Please note that use of the provided data sets is for educational purposes only.
Author: Josie Athens [aut, cre], Frank Harell [ctb], John Fox [ctb], R-Core [ctb]
Maintainer: Josie Athens <josie.athens@gmail.com>

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Package ino updated to version 1.1.1 with previous version 1.1.0 dated 2025-07-05

Title: Initialization of Numerical Optimization
Description: Analysis of the initialization for numerical optimization of real-valued functions, particularly likelihood functions of statistical models. See <https://loelschlaeger.de/ino/> for more details.
Author: Lennart Oelschlaeger [aut, cre] , Marius Oetting [aut] , Dietmar Bauer [ctb]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

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More information about ino at CRAN
Permanent link

Package GerminaR updated to version 2.1.6 with previous version 2.1.5 dated 2025-03-05

Title: Indices and Graphics for Assess Seed Germination Process
Description: A collection of different indices and visualization techniques for evaluate the seed germination process in ecophysiological studies (Lozano-Isla et al. 2019) <doi:10.1111/1440-1703.1275>.
Author: Flavio Lozano-Isla [aut, cre] , Omar Benites Alfaro [aut] , Marcelo F. Pompelli [aut, ths] , Denise Garcia de Santana [aut], Marli A. Ranal [aut], Federal University of Pernambuco [cph] , Federal Rural University of Pernambuco [cph] , Inkaverse [ctb]
Maintainer: Flavio Lozano-Isla <flozanoisla@gmail.com>

Diff between GerminaR versions 2.1.5 dated 2025-03-05 and 2.1.6 dated 2025-10-21

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 NEWS.md                                                            |   15 
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 R/webTable.R                                                       |   11 
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 man/ger_ASG.Rd                                                     |   54 +-
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Package eco readmission to version 4.0-4 with previous version 4.0-3 dated 2022-11-03

Title: Ecological Inference in 2x2 Tables
Description: Implements the Bayesian and likelihood methods proposed in Imai, Lu, and Strauss (2008 <doi:10.1093/pan/mpm017>) and (2011 <doi:10.18637/jss.v042.i05>) for ecological inference in 2 by 2 tables as well as the method of bounds introduced by Duncan and Davis (1953). The package fits both parametric and nonparametric models using either the Expectation-Maximization algorithms (for likelihood models) or the Markov chain Monte Carlo algorithms (for Bayesian models). For all models, the individual-level data can be directly incorporated into the estimation whenever such data are available. Along with in-sample and out-of-sample predictions, the package also provides a functionality which allows one to quantify the effect of data aggregation on parameter estimation and hypothesis testing under the parametric likelihood models.
Author: Kosuke Imai [aut, cre], Ying Lu [aut], Aaron Strauss [aut], Hubert Jin [ctb]
Maintainer: Kosuke Imai <imai@Harvard.Edu>

This is a re-admission after prior archival of version 4.0-3 dated 2022-11-03

Diff between eco versions 4.0-3 dated 2022-11-03 and 4.0-4 dated 2025-10-21

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More information about eco at CRAN
Permanent link

Package BNPmix updated to version 1.1.0 with previous version 1.0.2 dated 2022-07-15

Title: Bayesian Nonparametric Mixture Models
Description: Functions to perform Bayesian nonparametric univariate and multivariate density estimation and clustering, by means of Pitman-Yor mixtures, and dependent Dirichlet process mixtures for partially exchangeable data. See Corradin et al. (2021) <doi:10.18637/jss.v100.i15> for more details.
Author: Riccardo Corradin [aut, cre], Antonio Canale [ctb], Bernardo Nipoti [ctb]
Maintainer: Riccardo Corradin <riccardo.corradin@gmail.com>

Diff between BNPmix versions 1.0.2 dated 2022-07-15 and 1.1.0 dated 2025-10-21

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More information about BNPmix at CRAN
Permanent link

Package VertexWiseR updated to version 1.4.3 with previous version 1.4.2 dated 2025-10-01

Title: Simplified Vertex-Wise Analyses of Whole-Brain and Hippocampal Surface
Description: Provides functions to run statistical analyses on surface-based neuroimaging data, computing measures including cortical thickness and surface area of the whole-brain and of the hippocampi. It can make use of 'FreeSurfer', 'fMRIprep', 'XCP-D', 'HCP' and 'CAT12' preprocessed datasets and 'HippUnfold' hippocampal segmentation outputs for a given sample by restructuring the data values into a single file. The single file can then be used by the package for analyses independently from its base dataset and without need for its access.
Author: Junhong Yu [aut] , Charly Billaud [aut, cre]
Maintainer: Charly Billaud <charly.billaud@ntu.edu.sg>

Diff between VertexWiseR versions 1.4.2 dated 2025-10-01 and 1.4.3 dated 2025-10-21

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Permanent link

Package sgd updated to version 1.1.3 with previous version 1.1.2 dated 2024-01-31

Title: Stochastic Gradient Descent for Scalable Estimation
Description: A fast and flexible set of tools for large scale estimation. It features many stochastic gradient methods, built-in models, visualization tools, automated hyperparameter tuning, model checking, interval estimation, and convergence diagnostics.
Author: Junhyung Lyle Kim [cre, aut], Dustin Tran [aut], Panos Toulis [aut], Tian Lian [ctb], Ye Kuang [ctb], Edoardo Airoldi [ctb]
Maintainer: Junhyung Lyle Kim <jlylekim@gmail.com>

Diff between sgd versions 1.1.2 dated 2024-01-31 and 1.1.3 dated 2025-10-21

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More information about sgd at CRAN
Permanent link

Package umx readmission to version 4.59.0 with previous version 4.21.0 dated 2024-11-14

Title: Structural Equation Modeling and Twin Modeling in R
Description: Quickly create, run, and report structural equation models, and twin models. See '?umx' for help, and umx_open_CRAN_page("umx") for NEWS. Timothy C. Bates, Michael C. Neale, Hermine H. Maes, (2019). umx: A library for Structural Equation and Twin Modelling in R. Twin Research and Human Genetics, 22, 27-41. <doi:10.1017/thg.2019.2>.
Author: Timothy C. Bates [aut, cre] , Nathan Gillespie [wit], Hermine Maes [ctb], Michael C. Neale [ctb], Joshua N. Pritikin [ctb], Luis De Araujo [ctb], Brenton Wiernik [ctb], Michael Zakharin [wit]
Maintainer: Timothy C. Bates <timothy.c.bates@gmail.com>

This is a re-admission after prior archival of version 4.21.0 dated 2024-11-14

Diff between umx versions 4.21.0 dated 2024-11-14 and 4.59.0 dated 2025-10-21

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More information about umx at CRAN
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New package Rfuzzycoco with initial version 0.1.0
Package: Rfuzzycoco
Title: Provides an R Interface to the 'FuzzyCoCo' C++ Library and Extends It
Version: 0.1.0
Description: Provides and extends the 'Fuzzy Coco' algorithm by wrapping the 'FuzzyCoCo' 'C++' Library, cf <https://github.com/Lonza-RND-Data-Science/fuzzycoco>. 'Fuzzy Coco' constructs systems that predict the outcome of a human decision-making process while providing an understandable explanation of a possible reasoning leading to it. The constructed fuzzy systems are composed of rules and linguistic variables. This package provides a 'S3' classic interface (fit_xy()/fit()/predict()/evaluate()) and a 'tidymodels'/'parsnip' interface, a custom engine with custom iteration stop criterion and progress bar support as well as a systematic implementation that do not rely on genetic programming but rather explore all possible combinations.
License: GPL (>= 3)
URL: https://github.com/Lonza-RND-Data-Science/Rfuzzycoco
BugReports: https://github.com/Lonza-RND-Data-Science/Rfuzzycoco/issues
Depends: R (>= 4.1.0)
Imports: generics, methods, Rcpp, stats, utils
Suggests: knitr, parsnip, progressr, rlang, rmarkdown, testthat
LinkingTo: Rcpp
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2025-10-16 13:11:13 UTC; ubuntu
Author: Karl Forner [aut, cre]
Maintainer: Karl Forner <karl.forner@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-21 09:10:51 UTC

More information about Rfuzzycoco at CRAN
Permanent link

Package openalexR updated to version 2.0.2 with previous version 2.0.1 dated 2025-05-04

Title: Getting Bibliographic Records from 'OpenAlex' Database Using 'DSL' API
Description: A set of tools to extract bibliographic content from 'OpenAlex' database using API <https://docs.openalex.org>.
Author: Massimo Aria [aut, cre, cph] , Corrado Cuccurullo [ctb] , Trang Le [aut] , June Choe [aut]
Maintainer: Massimo Aria <aria@unina.it>

Diff between openalexR versions 2.0.1 dated 2025-05-04 and 2.0.2 dated 2025-10-21

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Package letsRept updated to version 1.1.0 with previous version 1.0.1 dated 2025-08-23

Title: An Interface to the Reptile Database
Description: Provides tools to retrieve and summarize taxonomic information and synonymy data for reptile species using data scraped from The Reptile Database website (<https://reptile-database.reptarium.cz/>). Outputs include clean and structured data frames useful for ecological, evolutionary, and conservation research.
Author: Joao Paulo dos Santos Vieira-Alencar [aut, cre] , Christoph Liedtke [aut]
Maintainer: Joao Paulo dos Santos Vieira-Alencar <joaopaulo.valencar@gmail.com>

Diff between letsRept versions 1.0.1 dated 2025-08-23 and 1.1.0 dated 2025-10-21

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Package guideR updated to version 0.5.1 with previous version 0.5.0 dated 2025-10-19

Title: Miscellaneous Statistical Functions Used in 'guide-R'
Description: Companion package for the manual 'guide-R : Guide pour l’analyse de données d’enquêtes avec R' available at <https://larmarange.github.io/guide-R/>. 'guideR' implements miscellaneous functions introduced in 'guide-R' to facilitate statistical analysis and manipulation of survey data.
Author: Joseph Larmarange [aut, cre]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

Diff between guideR versions 0.5.0 dated 2025-10-19 and 0.5.1 dated 2025-10-21

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 MD5                                         |   12 -
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More information about guideR at CRAN
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Package stevemisc updated to version 1.9.0 with previous version 1.8.0 dated 2024-08-23

Title: Steve's Miscellaneous Functions
Description: These are miscellaneous functions that I find useful for my research and teaching. The contents include themes for plots, functions for simulating quantities of interest from regression models, functions for simulating various forms of fake data for instructional/research purposes, and many more. All told, the functions provided here are broadly useful for data organization, data presentation, data recoding, and data simulation.
Author: Steve Miller [aut, cre], Ben Bolker [ctb], Dave Armstrong [ctb], John Fox [ctb], Winston Chang [ctb], Brian Ripley [ctb], Bill Venables [ctb], Pascal van Kooten [ctb], Gerko Vink [ctb], Paul Williamson [ctb], Andreas Beger [ctb] , Vincent Arel-Bundoc [...truncated...]
Maintainer: Steve Miller <steven.v.miller@gmail.com>

Diff between stevemisc versions 1.8.0 dated 2024-08-23 and 1.9.0 dated 2025-10-21

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New package paisaje with initial version 0.1.1
Package: paisaje
Title: Spatial and Environmental Data Tools for Landscape Ecology
Version: 0.1.1
Maintainer: Manuel Spinola <mspinola10@gmail.com>
Description: Provides functions for landscape analysis and data retrieval. The package allows users to download environmental variables from global datasets (e.g., WorldClim, ESA WorldCover, Nighttime Lights), and to compute spatial and landscape metrics using a hexagonal grid system based on the H3 spatial index. It is useful for ecological modeling, biodiversity studies, and spatial data processing in landscape ecology. Fick and Hijmans (2017) <doi:10.1002/joc.5086>. Zanaga et al. (2022) <doi:10.5281/zenodo.7254221>. Uber Technologies Inc. (2022) "H3: Hexagonal hierarchical spatial index".
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://manuelspinola.github.io/paisaje/, https://github.com/ManuelSpinola/paisaje
BugReports: https://github.com/ManuelSpinola/paisaje/issues
Imports: rlang, dplyr, tidyr, sf, terra, h3jsr, rvest, httr, landscapemetrics, spocc, exactextractr, progress, magrittr
Suggests: ggplot2, rmarkdown, knitr
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-15 22:48:31 UTC; manuelspinola
Author: Manuel Spinola [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-21 08:20:02 UTC

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Package MAGEE updated to version 1.4.4 with previous version 1.4.3 dated 2025-07-12

Title: Mixed Model Association Test for GEne-Environment Interaction
Description: Use a 'glmmkin' class object (GMMAT package) from the null model to perform generalized linear mixed model-based single-variant and variant set main effect tests, gene-environment interaction tests, and joint tests for association, as proposed in Wang et al. (2020) <DOI:10.1002/gepi.22351>.
Author: Xinyu Wang [aut], Han Chen [aut, cre], Duy Pham [aut], Kenneth Westerman [ctb], Cong Pan [aut], Eric Biggers [ctb, cph] , Tino Reichardt [ctb, cph] library), Meta Platforms, Inc. and affiliates [cph] library)
Maintainer: Han Chen <hanchenphd@gmail.com>

Diff between MAGEE versions 1.4.3 dated 2025-07-12 and 1.4.4 dated 2025-10-21

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Package DiceKriging updated to version 1.6.1 with previous version 1.6.0 dated 2021-02-23

Title: Kriging Methods for Computer Experiments
Description: Estimation, validation and prediction of kriging models. Important functions : km, print.km, plot.km, predict.km.
Author: Olivier Roustant [aut, cre] , David Ginsbourger [aut] , Yves Deville [aut] , Clement Chevalier [ctb], Yann Richet [ctb]
Maintainer: Olivier Roustant <roustant@insa-toulouse.fr>

Diff between DiceKriging versions 1.6.0 dated 2021-02-23 and 1.6.1 dated 2025-10-21

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New package evanverse with initial version 0.3.7
Package: evanverse
Title: Utility Functions for Data Analysis and Visualization
Version: 0.3.7
Date: 2025-10-16
Author: Evan Zhou [aut, cre]
Maintainer: Evan Zhou <evanzhou.bio@gmail.com>
Description: A comprehensive collection of utility functions for data analysis and visualization in R. The package provides 55+ functions for data manipulation, file handling, color palette management, bioinformatics workflows, plotting, and package management. Features include void value handling, custom infix operators, flexible file I/O, and publication-ready visualizations with sensible defaults. Implementation follows tidyverse principles (Wickham et al. (2019) <doi:10.21105/joss.01686>) and incorporates best practices from the R community.
License: MIT + file LICENSE
License_is_FOSS: yes
License_restricts_use: no
Encoding: UTF-8
URL: https://github.com/evanbio/evanverse, https://evanbio.github.io/evanverse/
BugReports: https://github.com/evanbio/evanverse/issues
VignetteBuilder: knitr
Depends: R (>= 4.1)
Imports: cli, tibble, tidyr, data.table, dplyr, ggplot2, jsonlite, curl, openxlsx, readxl, tictoc, fs, rlang, withr, ggpubr, utils, tools, stats, grDevices
Suggests: BiocManager, GSEABase, Biobase, GEOquery, biomaRt, knitr, rmarkdown, testthat (>= 3.0.0), ggvenn, ggVennDiagram, writexl, R.utils, janitor, RColorBrewer, devtools, digest, forestploter, purrr, reactable
NeedsCompilation: no
Packaged: 2025-10-16 11:46:30 UTC; 84241
Repository: CRAN
Date/Publication: 2025-10-21 09:00:02 UTC

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Package UComp updated to version 5.1.2 with previous version 5.1.1 dated 2025-07-21

Title: Automatic Univariate Time Series Modelling of many Kinds
Description: Comprehensive analysis and forecasting of univariate time series using automatic time series models of many kinds. Harvey AC (1989) <doi:10.1017/CBO9781107049994>. Pedregal DJ and Young PC (2002) <doi:10.1002/9780470996430>. Durbin J and Koopman SJ (2012) <doi:10.1093/acprof:oso/9780199641178.001.0001>. Hyndman RJ, Koehler AB, Ord JK, and Snyder RD (2008) <doi:10.1007/978-3-540-71918-2>. Gómez V, Maravall A (2000) <doi:10.1002/9781118032978>. Pedregal DJ, Trapero JR and Holgado E (2024) <doi:10.1016/j.ijforecast.2023.09.004>.
Author: Diego J. Pedregal [aut, cre]
Maintainer: Diego J. Pedregal <Diego.Pedregal@uclm.es>

Diff between UComp versions 5.1.1 dated 2025-07-21 and 5.1.2 dated 2025-10-21

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 22 files changed, 3621 insertions(+), 3487 deletions(-)

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Package bimets (with last version 4.1.0) was removed from CRAN

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

2025-10-20 4.1.0
2025-05-28 4.0.4
2024-11-25 4.0.3
2024-08-16 4.0.2
2024-07-10 4.0.1
2023-12-13 3.0.2
2023-05-15 3.0.1
2023-02-09 2.3.0
2022-09-02 2.2.0
2022-06-15 2.1.1
2022-04-02 2.1.0
2022-02-22 2.0.2
2022-01-06 2.0.1
2021-02-04 1.5.3
2021-01-05 1.5.2
2020-06-01 1.5.1
2020-05-29 1.5.0
2020-03-17 1.4.3
2019-10-19 1.4.2
2019-09-03 1.4.1
2019-06-06 1.4.0

Permanent link
Package SSN2 updated to version 0.4.0 with previous version 0.3.1 dated 2025-09-30

Title: Spatial Modeling on Stream Networks
Description: Spatial statistical modeling and prediction for data on stream networks, including models based on in-stream distance (Ver Hoef, J.M. and Peterson, E.E., (2010) <DOI:10.1198/jasa.2009.ap08248>.) Models are created using moving average constructions. Spatial linear models, including explanatory variables, can be fit with (restricted) maximum likelihood. Mapping and other graphical functions are included.
Author: Michael Dumelle [aut, cre] , Jay M. Ver Hoef [aut], Erin Peterson [aut], Alan Pearse [ctb], Dan Isaak [ctb], Ryan A. Hill [ctb], Marc Weber [ctb]
Maintainer: Michael Dumelle <Dumelle.Michael@epa.gov>

Diff between SSN2 versions 0.3.1 dated 2025-09-30 and 0.4.0 dated 2025-10-21

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Package smoothr updated to version 1.2.1 with previous version 1.1.0 dated 2025-06-25

Title: Smooth and Tidy Spatial Features
Description: Tools for smoothing and tidying spatial features (i.e. lines and polygons) to make them more aesthetically pleasing. Smooth curves, fill holes, and remove small fragments from lines and polygons.
Author: Matthew Strimas-Mackey [aut, cre]
Maintainer: Matthew Strimas-Mackey <mstrimas@gmail.com>

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Package SAMtool updated to version 1.9.0 with previous version 1.8.2 dated 2025-09-05

Title: Stock Assessment Methods Toolkit
Description: Simulation tools for closed-loop simulation are provided for the 'MSEtool' operating model to inform data-rich fisheries. 'SAMtool' provides a conditioning model, assessment models of varying complexity with standardized reporting, model-based management procedures, and diagnostic tools for evaluating assessments inside closed-loop simulation.
Author: Quang Huynh [aut, cre], Tom Carruthers [aut], Adrian Hordyk [aut]
Maintainer: Quang Huynh <quang@bluematterscience.com>

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Package psychotools updated to version 0.7-5 with previous version 0.7-4 dated 2024-05-11

Title: Psychometric Modeling Infrastructure
Description: Infrastructure for psychometric modeling such as data classes (for item response data and paired comparisons), basic model fitting functions (for Bradley-Terry, Rasch, parametric logistic IRT, generalized partial credit, rating scale, multinomial processing tree models), extractor functions for different types of parameters (item, person, threshold, discrimination, guessing, upper asymptotes), unified inference and visualizations, and various datasets for illustration. Intended as a common lightweight and efficient toolbox for psychometric modeling and a common building block for fitting psychometric mixture models in package "psychomix" and trees based on psychometric models in package "psychotree".
Author: Achim Zeileis [aut, cre] , Carolin Strobl [aut] , Florian Wickelmaier [aut], Basil Komboz [aut], Julia Kopf [aut], Lennart Schneider [aut] , Rudolf Debelak [aut]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package mapsPERU updated to version 2.0.1 with previous version 2.0.0 dated 2023-08-14

Title: Maps of Peru
Description: Information of the centroids and geographical limits of the regions, departments, provinces and districts of Peru.
Author: Jorge L. C. Musaja [aut, cre]
Maintainer: Jorge L. C. Musaja <musajajorge@gmail.com>

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Package MakefileR updated to version 1.1.0 with previous version 1.0 dated 2016-01-08

Title: Create 'Makefiles' Using R
Description: A user-friendly interface for the construction of 'Makefiles'.
Author: Andreas Dominik Cullmann [aut, cre], Kirill Mueller [aut]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

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Package epiR updated to version 2.0.88 with previous version 2.0.87 dated 2025-09-29

Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson [aut, cre] , Evan Sergeant [aut], Cord Heuer [ctb], Telmo Nunes [ctb], Cord Heuer [ctb], Jonathon Marshall [ctb], Javier Sanchez [ctb], Ron Thornton [ctb], Jeno Reiczigel [ctb], Jim Robison-Cox [ctb], Paola Sebastiani [ctb], Peter Soly [...truncated...]
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

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Mon, 20 Oct 2025

Package ZVCV updated to version 2.1.3 with previous version 2.1.2 dated 2022-11-02

Title: Zero-Variance Control Variates
Description: Stein control variates can be used to improve Monte Carlo estimates of expectations when the derivatives of the log target are available. This package implements a variety of such methods, including zero-variance control variates (ZV-CV, Mira et al. (2013) <doi:10.1007/s11222-012-9344-6>), regularised ZV-CV (South et al., 2023 <doi:10.1214/22-BA1328>), control functionals (CF, Oates et al. (2017) <doi:10.1111/rssb.12185>) and semi-exact control functionals (SECF, South et al., 2022 <doi:10.1093/biomet/asab036>). ZV-CV is a parametric approach that is exact for (low order) polynomial integrands with Gaussian targets. CF is a non-parametric alternative that offers better than the standard Monte Carlo convergence rates. SECF has both a parametric and a non-parametric component and it offers the advantages of both for an additional computational cost. Functions for applying ZV-CV and CF to two estimators for the normalising constant of the posterior distribution in [...truncated...]
Author: Leah F. South [aut, cre]
Maintainer: Leah F. South <leah.south@hdr.qut.edu.au>

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Package PortfolioTesteR updated to version 0.1.3 with previous version 0.1.2 dated 2025-09-29

Title: Test Investment Strategies with English-Like Code
Description: Design, backtest, and analyze portfolio strategies using simple, English-like function chains. Includes technical indicators, flexible stock selection, portfolio construction methods (equal weighting, signal weighting, inverse volatility, hierarchical risk parity), and a compact backtesting engine for portfolio returns, drawdowns, and summary metrics.
Author: Alberto Pallotta [aut, cre]
Maintainer: Alberto Pallotta <pallottaalberto@gmail.com>

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Permanent link

Package fastTopics updated to version 0.7-30 with previous version 0.6-192 dated 2024-07-09

Title: Fast Algorithms for Fitting Topic Models and Non-Negative Matrix Factorizations to Count Data
Description: Implements fast, scalable optimization algorithms for fitting topic models ("grade of membership" models) and non-negative matrix factorizations to count data. The methods exploit the special relationship between the multinomial topic model (also, "probabilistic latent semantic indexing") and Poisson non-negative matrix factorization. The package provides tools to compare, annotate and visualize model fits, including functions to efficiently create "structure plots" and identify key features in topics. The 'fastTopics' package is a successor to the 'CountClust' package. For more information, see <doi:10.48550/arXiv.2105.13440> and <doi:10.1186/s13059-023-03067-9>. Please also see the GitHub repository for additional vignettes not included in the package on CRAN.
Author: Peter Carbonetto [aut, cre], Kevin Luo [aut], Kushal Dey [aut], Joyce Hsiao [ctb], Abhishek Sarkar [ctb], Anthony Hung [ctb], Xihui Lin [ctb], Paul C. Boutros [ctb], Minzhe Wang [ctb], Tracy Ke [ctb], Eric Weine [ctb], Matthew Stephens [aut]
Maintainer: Peter Carbonetto <peter.carbonetto@gmail.com>

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Package HCTDesign updated to version 0.7.4 with previous version 0.7.3 dated 2025-08-29

Title: Group Sequential Design for Historical Control Trial with Survival Outcome
Description: It provides functions to design historical controlled trials with survival outcome by group sequential method. The options for interim look boundaries are efficacy only, efficacy & futility or futility only. It also provides the function to monitor the trial for any unplanned look. The package is based on Jianrong Wu, Xiaoping Xiong (2016) <doi:10.1002/pst.1756> and Jianrong Wu, Yimei Li (2020) <doi:10.1080/10543406.2019.1684305>.
Author: Tushar Patni [aut, cre], Yimei Li [aut], Jianrong Wu [aut]
Maintainer: Tushar Patni <tushar.patni006@gmail.com>

Diff between HCTDesign versions 0.7.3 dated 2025-08-29 and 0.7.4 dated 2025-10-20

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New package tteICE with initial version 1.0.1
Package: tteICE
Title: Treatment Effect Estimation for Time-to-Event Data with Intercurrent Events
Version: 1.0.1
Author: Yuhao Deng [aut], Yi Zhou [cre]
Maintainer: Yi Zhou <yzhou@pku.edu.cn>
Description: Analyzing treatment effects in clinical trials with time-to-event outcomes is complicated by intercurrent events. This package implements methods for estimating and inferring the cumulative incidence functions for time-to-event (TTE) outcomes with intercurrent events (ICEs) under the five strategies outlined in the ICH E9 (R1) addendum, see Deng (2025)<doi:10.1002/sim.70091>. This package can be used for analyzing data from both randomized controlled trials and observational studies. In general, we have a primary outcome event and possibly an intercurrent event. Two data structures are allowed: competing risks, where only the time to the first event is recorded, and semicompeting risks, where the times to both the primary outcome event and intercurrent event (or censoring) are recorded. For estimation methods, users can choose nonparametric estimation (which does not use covariates) and semiparametrically efficient estimation.
URL: https://github.com/mephas/tteICE
BugReports: https://github.com/mephas/tteICE/issues
License: GPL-3
Encoding: UTF-8
Language: en-US
LazyData: True
Imports: cmprsk, MASS, survival, shiny, shinythemes, shinyWidgets, DT, psych
Depends: R (>= 3.5)
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-10-15 06:05:06 UTC; zhouy
Repository: CRAN
Date/Publication: 2025-10-20 19:40:02 UTC

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New package SimplicialComplex with initial version 0.1.0
Package: SimplicialComplex
Title: Topological Data Analysis: Simplicial Complex
Version: 0.1.0
Maintainer: ChiChien Wang <kennywang2003@gmail.com>
Description: Provides an implementation of simplicial complexes for Topological Data Analysis (TDA). The package includes functions to compute faces, boundary operators, Betti numbers, Euler characteristic, and to construct simplicial complexes. It also implements persistent homology, from building filtrations to computing persistence diagrams, with the aim of helping readers understand the core concepts of computational topology. Methods are based on standard references in persistent homology such as Zomorodian and Carlsson (2005) <doi:10.1007/s00454-004-1146-y> and Chazal and Michel (2021) <doi:10.3389/frai.2021.667963>.
Imports: Matrix, gtools, igraph, ggplot2
License: MIT + file LICENSE
URL: https://github.com/TDA-R/SimplicialComplex
BugReports: https://github.com/TDA-R/SimplicialComplex/issues
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-15 08:39:54 UTC; wangqiqian
Author: ChiChien Wang [aut, cre, trl]
Repository: CRAN
Date/Publication: 2025-10-20 19:30:15 UTC

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Package rvolleydata updated to version 1.1.0 with previous version 1.0.0 dated 2025-09-02

Title: Extract Data from Professional Volleyball Leagues in North America
Description: Gather boxscore, play-by-play, and auxiliary data from Major League Volleyball (MLV) <https://provolleyball.com>, League One Volleyball Pro (LOVB Pro) <https://www.lovb.com/pro-league>, and Athletes Unlimited Pro Volleyball <https://auprosports.com/volleyball/> to create a repository of basic and advanced statistics for teams and players.
Author: David Awosoga [aut, cre, cph] , Matthew Chow [aut] , Ryan Du [aut]
Maintainer: David Awosoga <odo.awosoga@gmail.com>

Diff between rvolleydata versions 1.0.0 dated 2025-09-02 and 1.1.0 dated 2025-10-20

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New package rosario with initial version 0.1.0
Package: rosario
Title: A Null Model Algorithm to Analyze Cyclical Data in Ecology
Version: 0.1.0
Description: Implements a null model analysis to quantify concurrent temporal niche overlap (i.e., activity or phenology) among biological identities (e.g., individuals, populations, species) using the Rosario randomization algorithm Castro-Arellano et al. (2010) <doi:10.1111/j.2041-210X.2010.00031.x>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: broom, magrittr, purrr, furrr, future, rlang
URL: https://alrobles.github.io/rosario/
Suggests: rmarkdown, ggplot2, spelling
Depends: R (>= 4.1.0)
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-14 16:57:45 UTC; maria.h.m_1995
Author: Angel L. Robles-Fernandez [aut], Maria A. Hurtado-Materon [aut], Tatiana Velasquez-Roa [aut, ths], Ivan Castro-Arellano [cre]
Maintainer: Ivan Castro-Arellano <ic13@txstate.edu>
Repository: CRAN
Date/Publication: 2025-10-20 19:10:02 UTC

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Package FSinR readmission to version 2.0.8 with previous version 2.0.5 dated 2020-11-23

Title: Feature Selection
Description: Feature subset selection algorithms modularized in search algorithms and measure utilities.
Author: Alfonso Jimenez-Vilchez [aut, cre], Francisco Aragon-Royon [aut], Adan M. Rodriguez [aut], Antonio Arauzo-Azofra [aut], Jose Manuel Benitez [aut]
Maintainer: Alfonso Jimenez-Vilchez <i52jivia@uco.es>

This is a re-admission after prior archival of version 2.0.5 dated 2020-11-23

Diff between FSinR versions 2.0.5 dated 2020-11-23 and 2.0.8 dated 2025-10-20

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New package faunabr with initial version 1.0.0
Package: faunabr
Title: Explore Catálogo Taxônomico da Fauna do Brasil Database
Version: 1.0.0
Description: A collection of functions designed to retrieve, filter and spatialize data from the Catálogo Taxônomico da Fauna do Brasil. For more information about the dataset, please visit <http://fauna.jbrj.gov.br/fauna/listaBrasil/>.
Imports: XML (>= 3.99.0.14), data.table (>= 1.14.8), httr (>= 1.4.6), terra (>= 1.7.39), stats (>= 4.2.3), utils(>= 4.2.3),
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
BugReports: https://github.com/wevertonbio/faunabr/issues
URL: https://wevertonbio.github.io/faunabr/
NeedsCompilation: no
Packaged: 2025-10-15 02:25:42 UTC; wever
Author: Weverton Trindade [aut, cre]
Maintainer: Weverton Trindade <wevertonf1993@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-20 19:30:09 UTC

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New package epmfd with initial version 1.1.1
Package: epmfd
Title: Exploratory and Person/Item Misfit Diagnostics for Polytomous Data
Version: 1.1.1
Description: Analysis of items and persons in data. To identify and remove person misfit in polytomous item-response data using either 'mokken' or a graded response model (GRM, via 'mirt'). Provides automatic thresholds, visual diagnostics (2D/3D), and export utilities. Methods build on Mokken scaling as in Mokken (1971, ISBN:9789027968821) and on the graded response model of Samejima (1969) <doi:10.1007/BF03372160>.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/hsnbulut/epmfd
BugReports: https://github.com/hsnbulut/epmfd/issues
Imports: dplyr, fs, ggplot2, mirt, mokken, PerFit, readr, rlang, tibble
Suggests: plotly, ggrepel, openxlsx, haven, patchwork, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-15 21:10:27 UTC; hsn
Author: Hasan Bulut [aut, cre] , Asiye Şenguel Avsar [aut]
Maintainer: Hasan Bulut <hasan.bulut@omu.edu.tr>
Repository: CRAN
Date/Publication: 2025-10-20 19:40:08 UTC

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New package CortSineScore with initial version 0.1.0
Package: CortSineScore
Title: Compute Cortisol Sine Score (CSS) for Diurnal Cortisol Analysis
Version: 0.1.0
Description: Computes a single scalar metric for diurnal cortisol cycle analysis, the Cortisol Sine Score (CSS). The score is calculated as the sum over time points of concentration multiplied by sin(2 * pi * time / 24), giving positive weights to morning time points and negative weights to evening ones. The method is model-free, robust, and suitable for regression, classification, clustering, and biomarker research.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: purrr, magrittr, dplyr
Suggests: tibble
URL: https://github.com/simone-anza/CortSineScore
BugReports: https://github.com/simone-anza/CortSineScore/issues
NeedsCompilation: no
Packaged: 2025-10-15 20:33:06 UTC; simon
Author: Simone Anza [aut, cre]
Maintainer: Simone Anza <simoneanza@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-20 19:40:14 UTC

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New package compIndexBuilder with initial version 1.0.0
Package: compIndexBuilder
Version: 1.0.0
Title: Composite Index Builder & Analytics 'shiny' App
Description: Provides an interactive 'shiny' web application for constructing, analyzing, and visualizing composite indices from multidimensional datasets. Users can upload or select indicator data, group variables into logical categories, apply normalization and weighting methods (such as 'equal' or 'custom' schemes), and compute aggregate composite indices. The 'shiny' interface includes tools for exploring results through tables, plots, and data exports, making it useful for researchers, policymakers, and analysts interested in index-based evaluations.
License: GPL-3
Depends: R (>= 4.1.0)
Imports: shiny, plotly, shinydashboard, dplyr, readxl, forecast, tidyr, corrplot, missForest, zoo, tibble, DT, ggplot2, networkD3, psych
Suggests: testthat (>= 3.0.0)
Maintainer: Leila Marvian Mashhad <Leila.marveian@gmail.com>
NeedsCompilation: no
Encoding: UTF-8
Packaged: 2025-10-14 19:22:03 UTC; HAMIAN
Author: Hossein Hassani [aut], Leila Marvian Mashhad [aut, cre], Steve Macfeely [aut], Petra Kynclova [aut], Nour Barnat [aut], Fernando CANTU BAZALDUA [aut]
Repository: CRAN
Date/Publication: 2025-10-20 19:20:02 UTC

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Package cbcTools updated to version 0.7.1 with previous version 0.6.4 dated 2025-09-23

Title: Design and Analyze Choice-Based Conjoint Experiments
Description: Design and evaluate choice-based conjoint survey experiments. Generate a variety of survey designs, including random designs, frequency-based designs, and D-optimal designs, as well as "labeled" designs (also known as "alternative-specific designs"), designs with "no choice" options, and designs with dominant alternatives removed. Conveniently inspect and compare designs using a variety of metrics, including design balance, overlap, and D-error, and simulate choice data for a survey design either randomly or according to a utility model defined by user-provided prior parameters. Conduct a power analysis for a given survey design by estimating the same model on different subsets of the data to simulate different sample sizes. Bayesian D-efficient designs using the 'cea' and 'modfed' methods are obtained using the 'idefix' package by Traets et al (2020) <doi:10.18637/jss.v096.i03>. Choice simulation and model estimation in power analyses are handled using the 'logitr' package by He [...truncated...]
Author: John Helveston [cre, aut, cph]
Maintainer: John Helveston <john.helveston@gmail.com>

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New package bigPCAcpp with initial version 0.9.0
Package: bigPCAcpp
Title: Principal Component Analysis for 'bigmemory' Matrices
Version: 0.9.0
Date: 2025-10-02
Author: Frederic Bertrand [aut, cre]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: High performance principal component analysis routines that operate directly on 'bigmemory::big.matrix' objects. The package avoids materialising large matrices in memory by streaming data through 'BLAS' and 'LAPACK' kernels and provides helpers to derive scores, loadings, correlations, and contribution diagnostics, including utilities that stream results into 'bigmemory'-backed matrices for file-based workflows. Additional interfaces expose 'scalable' singular value decomposition, robust PCA, and robust SVD algorithms so that users can explore large matrices while tempering the influence of outliers. 'Scalable' principal component analysis is also implemented, Elgamal, Yabandeh, Aboulnaga, Mustafa, and Hefeeda (2015) <doi:10.1145/2723372.2751520>.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.12), methods, withr
Suggests: knitr, rmarkdown, bigmemory, ggplot2, testthat (>= 3.0.0)
LinkingTo: Rcpp, bigmemory, BH
Encoding: UTF-8
VignetteBuilder: knitr
LazyLoad: yes
NeedsCompilation: yes
URL: https://fbertran.github.io/bigPCAcpp/, https://github.com/fbertran/bigPCAcpp/
BugReports: https://github.com/fbertran/bigPCAcpp/issues/
Packaged: 2025-10-14 21:24:55 UTC; bertran7
Repository: CRAN
Date/Publication: 2025-10-20 19:20:07 UTC

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Package wdiEF updated to version 1.0.4 with previous version 1.0.3 dated 2025-02-19

Title: Calculation of the Water Deficit Index (WDI) and the Evaporative Fraction (EF) on Rasters
Description: Provides functions to calculate the Water Deficit Index (WDI) and the Evaporative Fraction (EF) using geospatial raster data such as fractional vegetation cover (FVC) and surface-air temperature difference (TS-TA). The package automates regression-based edge fitting and produces continuous spatial maps of surface moisture and evaporative dynamics.
Author: Gaelle Hamelin [aut, cre]
Maintainer: Gaelle Hamelin <gaelle.hamelin@institut-agro.fr>

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Package shazam updated to version 1.3.0 with previous version 1.2.0 dated 2023-10-02

Title: Immunoglobulin Somatic Hypermutation Analysis
Description: Provides a computational framework for analyzing mutations in immunoglobulin (Ig) sequences. Includes methods for Bayesian estimation of antigen-driven selection pressure, mutational load quantification, building of somatic hypermutation (SHM) models, and model-dependent distance calculations. Also includes empirically derived models of SHM for both mice and humans. Citations: Gupta and Vander Heiden, et al (2015) <doi:10.1093/bioinformatics/btv359>, Yaari, et al (2012) <doi:10.1093/nar/gks457>, Yaari, et al (2013) <doi:10.3389/fimmu.2013.00358>, Cui, et al (2016) <doi:10.4049/jimmunol.1502263>.
Author: Mohamed Uduman [aut], Namita Gupta [aut], Susanna Marquez [aut, cre], Julian Zhou [aut], Nima Nouri [aut], Noah Yann Lee [aut], Ang Cui [ctb], Jason Vander Heiden [aut], Gur Yaari [aut], Steven Kleinstein [aut, cph]
Maintainer: Susanna Marquez <susanna.marquez@yale.edu>

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Package longreadvqs updated to version 0.1.4 with previous version 0.1.3 dated 2024-08-26

Title: Viral Quasispecies Comparison from Long-Read Sequencing Data
Description: Performs variety of viral quasispecies diversity analyses [see Pamornchainavakul et al. (2024) <doi:10.21203/rs.3.rs-4637890/v1>] based on long-read sequence alignment. Main functions include 1) sequencing error and other noise minimization and read sampling, 2) Single nucleotide variant (SNV) profiles comparison, and 3) viral quasispecies profiles comparison and visualization.
Author: Nakarin Pamornchainavakul [aut, cre]
Maintainer: Nakarin Pamornchainavakul <pamornakarin@gmail.com>

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Package datareportR updated to version 0.1.1 with previous version 0.1 dated 2025-10-16

Title: Fast Data Summary Reports
Description: Generates an RMarkdown data report with two components: a summary of an input dataset and a diff of the dataset relative to an old version.
Author: Bryant Cong [aut, cre]
Maintainer: Bryant Cong <bryant.bcp@gmail.com>

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Package hhmR updated to version 0.0.1.1 with previous version 0.0.1 dated 2025-01-14

Title: Hierarchical Heatmaps
Description: Allows users to create high-quality heatmaps from labelled, hierarchical data. Specifically, for data with a two-level hierarchical structure, it will produce a heatmap where each row and column represents a category at the lower level. These rows and columns are then grouped by the higher-level group each category belongs to, with the names for each category and groups shown in the margins. While other packages (e.g. 'dendextend') allow heatmap rows and columns to be arranged by groups only, 'hhmR' also allows the labelling of the data at both the category and group level.
Author: Michael Mahony [cre, aut, cph] , Francisco Rowe [aut] , Carmen Cabrera-Arnau [aut]
Maintainer: Michael Mahony <michael.mahony@cantab.net>

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Package spnn updated to version 1.3.0 with previous version 1.2.1 dated 2020-01-08

Title: Scale Invariant Probabilistic Neural Networks
Description: Scale invariant version of the original PNN proposed by Specht (1990) <doi:10.1016/0893-6080(90)90049-q> with the added functionality of allowing for smoothing along multiple dimensions while accounting for covariances within the data set. It is written in the R statistical programming language. Given a data set with categorical variables, we use this algorithm to estimate the probabilities of a new observation vector belonging to a specific category. This type of neural network provides the benefits of fast training time relative to backpropagation and statistical generalization with only a small set of known observations.
Author: Romin Ebrahimi [aut, cre]
Maintainer: Romin Ebrahimi <romin.ebrahimi@utexas.edu>

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Package bimets updated to version 4.1.0 with previous version 4.0.4 dated 2025-05-28

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, rational expectations, 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 NMOF updated to version 2.11-0 with previous version 2.10-1 dated 2024-11-03

Title: Numerical Methods and Optimization in Finance
Description: Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). The package provides implementations of optimisation heuristics (Differential Evolution, Genetic Algorithms, Particle Swarm Optimisation, Simulated Annealing and Threshold Accepting), and other optimisation tools, such as grid search and greedy search. There are also functions for the valuation of financial instruments such as bonds and options, for portfolio selection and functions that help with stochastic simulations.
Author: Enrico Schumann [aut, cre]
Maintainer: Enrico Schumann <es@enricoschumann.net>

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Package manystates updated to version 1.0.3 with previous version 1.0.2 dated 2025-10-14

Title: Many Data on State and State-Like Actors in the International System
Description: Comprehensively identifying states and state-like actors is difficult. This package provides data on states and state-like entities in the international system across time. The package combines and cross-references several existing datasets consistent with the aims and functions of the manydata package. It also includes functions for identifying state references in text, and for generating fictional state names.
Author: James Hollway [cre, aut, ctb] , Bernhard Bieri [ctb] , Mylan Evrard [ctb] , Esther Peev [ctb] , Henrique Sposito [ctb] , Jael Tan [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package HARplus updated to version 1.1.2 with previous version 1.1.0 dated 2025-10-19

Title: Enhanced R Package for 'GEMPACK' .har and .sl4 Files
Description: Provides tools for processing and analyzing .har and .sl4 files, making it easier for 'GEMPACK' users and 'GTAP' researchers to handle large economic datasets. It simplifies the management of multiple experiment results, enabling faster and more efficient comparisons without complexity. Users can extract, restructure, and merge data seamlessly, ensuring compatibility across different tools. The processed data can be exported and used in 'R', 'Stata', 'Python', 'Julia', or any software that supports Text, CSV, or 'Excel' formats.
Author: Pattawee Puangchit [aut, cre]
Maintainer: Pattawee Puangchit <ppuangch@purdue.edu>

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Package combinIT updated to version 2.0.1 with previous version 2.0.0 dated 2022-10-21

Title: A Combined Interaction Test for Unreplicated Two-Way Tables
Description: There are several non-functional-form-based interaction tests for testing interaction in unreplicated two-way layouts. However, no single test can detect all patterns of possible interaction and the tests are sensitive to a particular pattern of interaction. This package combines six non-functional-form-based interaction tests for testing additivity. These six tests were proposed by Boik (1993) <doi:10.1080/02664769300000004>, Piepho (1994), Kharrati-Kopaei and Sadooghi-Alvandi (2007) <doi:10.1080/03610920701386851>, Franck et al. (2013) <doi:10.1016/j.csda.2013.05.002>, Malik et al. (2016) <doi:10.1080/03610918.2013.870196> and Kharrati-Kopaei and Miller (2016) <doi:10.1080/00949655.2015.1057821>. The p-values of these six tests are combined by Bonferroni, Sidak, Jacobi polynomial expansion, and the Gaussian copula methods to provide researchers with a testing approach which leverages many existing methods to detect disparate forms of non-additivity. This [...truncated...]
Author: Zahra Shenavari [aut], Hossein Haghbin [aut, cre] , Mahmood Kharrati-Kopaei [aut] , Seyed Morteza Najibi [aut]
Maintainer: Hossein Haghbin <haghbin@pgu.ac.ir>

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Package clifford updated to version 1.1-2 with previous version 1.1-1 dated 2025-05-07

Title: Arbitrary Dimensional Clifford Algebras
Description: A suite of routines for Clifford algebras, using the 'Map' class of the Standard Template Library. Canonical reference: Hestenes (1987, ISBN 90-277-1673-0, "Clifford algebra to geometric calculus"). Special cases including Lorentz transforms, quaternion multiplication, and Grassmann algebra, are discussed. Vignettes presenting conformal geometric algebra, quaternions and split quaternions, dual numbers, and Lorentz transforms are included. The package follows 'disordR' discipline.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package MLE updated to version 1.6 with previous version 1.5 dated 2025-04-03

Title: Maximum Likelihood Estimation of Various Univariate and Multivariate Distributions
Description: Several functions for maximum likelihood estimation of various univariate and multivariate distributions. The list includes more than 100 functions for univariate continuous and discrete distributions, distributions that lie on the real line, the positive line, interval restricted, circular distributions. Further, multivariate continuous and discrete distributions, distributions for compositional and directional data, etc. Some references include Johnson N. L., Kotz S. and Balakrishnan N. (1994). "Continuous Univariate Distributions, Volume 1" <ISBN:978-0-471-58495-7>, Johnson, Norman L. Kemp, Adrianne W. Kotz, Samuel (2005). "Univariate Discrete Distributions". <ISBN:978-0-471-71580-1> and Mardia, K. V. and Jupp, P. E. (2000). "Directional Statistics". <ISBN:978-0-471-95333-3>.
Author: Michail Tsagris [aut, cre], Sofia Piperaki [aut], Muhammad Imran [ctb], Rafail Vargiakakis [aut], Nikolaos Kontemeniotis [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between MLE versions 1.5 dated 2025-04-03 and 1.6 dated 2025-10-20

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Package cmsaf updated to version 3.6.0 with previous version 3.5.2 dated 2024-09-27

Title: A Toolbox for CM SAF NetCDF Data
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<https://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsaf' R-package includes a 'shiny' based interface for an easy application of the 'cmsafops' and 'cmsafvis' packages - the CM SAF R Toolbox. The Toolbox offers an easy way to prepare, manipulate, analyse and visualize CM SAF NetCDF formatted data. Other CF conform NetCDF data with time, longitude and latitude dimension should be applicable, but there is no guarantee for an error-free application. CM SAF climate data records are provided for free via (<https://wui.cm [...truncated...]
Author: Steffen Kothe [aut, cre], Danny Parsons [ctb]
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>

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Package stratEst updated to version 1.1.8 with previous version 1.1.7 dated 2025-04-01

Title: Strategy Estimation
Description: Variants of strategy estimation (Dal Bo & Frechette, 2011, <doi:10.1257/aer.101.1.411>), including the model with parameters for the choice probabilities of the strategies (Breitmoser, 2015, <doi:10.1257/aer.20130675>), and the model with individual level covariates for the selection of strategies by individuals (Dvorak & Fehrler, 2018, <doi:10.2139/ssrn.2986445>).
Author: Fabian Dvorak [aut, cre]
Maintainer: Fabian Dvorak <fabian.dvorak@uni.kn>

Diff between stratEst versions 1.1.7 dated 2025-04-01 and 1.1.8 dated 2025-10-20

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Package readyomics updated to version 0.2.0 with previous version 0.1.2 dated 2025-09-18

Title: Ready-to-Use Omics Formatting, Analysis, and Visualization Pipeline
Description: Provides a flexible and streamlined pipeline for formatting, analyzing, and visualizing omics data, regardless of omics type (e.g. transcriptomics, proteomics, metabolomics). The package includes tools for shaping input data into analysis-ready structures, fitting linear or mixed-effect models, extracting key contrasts, and generating a rich variety of ready-to-use publication-quality plots. Designed for transparency and reproducibility across a wide range of study designs, with customizable components for statistical modeling.
Author: Laura Martinez-Gili [cre, aut, cph]
Maintainer: Laura Martinez-Gili <martinez.gili.laura@gmail.com>

Diff between readyomics versions 0.1.2 dated 2025-09-18 and 0.2.0 dated 2025-10-20

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Package Mhorseshoe updated to version 0.1.5 with previous version 0.1.4 dated 2025-03-16

Title: Approximate Algorithm for Horseshoe Prior
Description: Provides exact and approximate algorithms for the horseshoe prior in linear regression models, which were proposed by Johndrow et al. (2020) <https://www.jmlr.org/papers/v21/19-536.html>.
Author: Kang Mingi [aut, cre], Lee Kyoungjae [aut]
Maintainer: Kang Mingi <leehuimin115@g.skku.edu>

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New package funbootband with initial version 0.2.0
Package: funbootband
Title: Simultaneous Prediction and Confidence Bands for Time Series Data
Version: 0.2.0
Description: Provides methods to compute simultaneous prediction and confidence bands for dense time series data. The implementation builds on the functional bootstrap approach proposed by Lenhoff et al. (1999) <doi:10.1016/S0966-6362(98)00043-5> and extended by Koska et al. (2023) <doi:10.1016/j.jbiomech.2023.111506> to support both independent and clustered (hierarchical) data. Includes a simple API (see band()) and an 'Rcpp' backend for performance.
License: GPL-3
URL: https://github.com/koda86/funbootband-cran
BugReports: https://github.com/koda86/funbootband-cran/issues
Depends: R (>= 3.5)
Imports: Rcpp, stats
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: C++17
ByteCompile: true
NeedsCompilation: yes
Packaged: 2025-10-14 13:25:59 UTC; daniel
Author: Daniel Koska [aut, cre, cph]
Maintainer: Daniel Koska <dkoska@proton.me>
Repository: CRAN
Date/Publication: 2025-10-20 09:20:02 UTC

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New package arete with initial version 0.1
Package: arete
Title: Automated REtrieval from TExt
Version: 0.1
Date: 2025-09-29
Author: Vasco V. Branco [cre, aut] , Vaughn Shirey [ctb] , Thomas Merrien [ctb] , Pedro Cardoso [aut]
Maintainer: Vasco V. Branco <vasco.branco@helsinki.fi>
Description: A Python based pipeline for extraction of species occurrence data through the usage of large language models. Includes validation tools designed to handle model hallucinations for a scientific, rigorous use of LLM. Currently supports usage of GPT with more planned, including local and non-proprietary models. For more details on the methodology used please consult the references listed under each function, such as Kent, A. et al. (1995) <doi:10.1002/asi.5090060209>, van Rijsbergen, C.J. (1979, ISBN:978-0408709293, Levenshtein, V.I. (1966) <https://nymity.ch/sybilhunting/pdf/Levenshtein1966a.pdf> and Klaus Krippendorff (2011) <https://repository.upenn.edu/handle/20.500.14332/2089>.
Depends: R (>= 4.3.0)
Imports: terra, cld2, stringr, reticulate, pdftools, fedmatch, kableExtra, dplyr, gecko, methods, ggplot2, jsonlite, googledrive, irr, rmarkdown
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-14 13:54:02 UTC; sauron
Repository: CRAN
Suggests: knitr
VignetteBuilder: knitr
Date/Publication: 2025-10-20 09:20:07 UTC

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Package spectacles readmission to version 0.5-5 with previous version 0.5-4 dated 2023-07-07

Title: Storing, Manipulating and Analysis Spectroscopy and Associated Data
Description: Stores and eases the manipulation of spectra and associated data, with dedicated classes for spatial and soil-related data.
Author: Pierre Roudier [aut, cre], Max Kuhn [ctb], Kristian Hovde Liland [ctb], Bjorn-Helge Mevik [ctb], Hadley Wickham [ctb], Raphael Viscarra Rossel [dtc]
Maintainer: Pierre Roudier <roudierp@landcareresearch.co.nz>

This is a re-admission after prior archival of version 0.5-4 dated 2023-07-07

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Package seqtrie updated to version 0.3.5 with previous version 0.2.9 dated 2025-03-02

Title: Radix Tree and Trie-Based String Distances
Description: A collection of Radix Tree and Trie algorithms for finding similar sequences and calculating sequence distances (Levenshtein and other distance metrics). This work was inspired by a trie implementation in Python: "Fast and Easy Levenshtein distance using a Trie." Hanov (2011) <https://stevehanov.ca/blog/index.php?id=114>.
Author: Travers Ching [aut, cre, cph], Martin Moene [ctb, cph] , Steve Hanov [ctb] , Martin Leitner-Ankerl [ctb]
Maintainer: Travers Ching <traversc@gmail.com>

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Package jointCompRisk updated to version 0.1.1 with previous version 0.1.0 dated 2025-10-14

Title: Joint Inference for Competing Risks Data Using Multiple Endpoints
Description: Tools for competing risks trials that allow simultaneous inference on recovery and mortality endpoints. Provides data preparation helpers, standard cumulative incidence estimators (restricted mean time gained/lost), and severity weighted extensions that integrate longitudinal ordinal outcomes to summarise treatment benefit. Methods follow Wen, Hu, and Wang (2023) Biometrics 79(3):1635-1645 <doi:10.1111/biom.13752>.
Author: Wenqing Zhang [aut, cre], Jiyang Wen [aut], Chen Hu [aut], Meicheng Wang [aut]
Maintainer: Wenqing Zhang <wzhan115@jhu.edu>

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Package forestdata (with last version 0.3.1) was removed from CRAN

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

2025-05-22 0.3.1

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Package ciccr (with last version 0.3.0) was removed from CRAN

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

2023-10-20 0.3.0
2020-10-29 0.2.0
2020-09-18 0.1.0

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Package whitebox updated to version 2.4.3 with previous version 2.4.2 dated 2025-10-14

Title: 'WhiteboxTools' R Frontend
Description: An R frontend for the 'WhiteboxTools' library, which is an advanced geospatial data analysis platform developed by Prof. John Lindsay at the University of Guelph's Geomorphometry and Hydrogeomatics Research Group. 'WhiteboxTools' can be used to perform common geographical information systems (GIS) analysis operations, such as cost-distance analysis, distance buffering, and raster reclassification. Remote sensing and image processing tasks include image enhancement (e.g. panchromatic sharpening, contrast adjustments), image mosaicing, numerous filtering operations, simple classification (k-means), and common image transformations. 'WhiteboxTools' also contains advanced tooling for spatial hydrological analysis (e.g. flow-accumulation, watershed delineation, stream network analysis, sink removal), terrain analysis (e.g. common terrain indices such as slope, curvatures, wetness index, hillshading; hypsometric analysis; multi-scale topographic position analysis), and LiDAR data processing. [...truncated...]
Author: Qiusheng Wu [aut], Andrew Brown [aut, cre]
Maintainer: Andrew Brown <brown.andrewg@gmail.com>

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Package multcomp updated to version 1.4-29 with previous version 1.4-28 dated 2025-01-29

Title: Simultaneous Inference in General Parametric Models
Description: Simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models. The package includes demos reproducing analyzes presented in the book "Multiple Comparisons Using R" (Bretz, Hothorn, Westfall, 2010, CRC Press).
Author: Torsten Hothorn [aut, cre] , Frank Bretz [aut], Peter Westfall [aut], Richard M. Heiberger [ctb], Andre Schuetzenmeister [ctb], Susan Scheibe [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package clhs updated to version 0.9.2 with previous version 0.9.0 dated 2021-10-14

Title: Conditioned Latin Hypercube Sampling
Description: Conditioned Latin hypercube sampling, as published by Minasny and McBratney (2006) <DOI:10.1016/j.cageo.2005.12.009>. This method proposes to stratify sampling in presence of ancillary data. An extension of this method, which propose to associate a cost to each individual and take it into account during the optimisation process, is also proposed (Roudier et al., 2012, <DOI:10.1201/b12728>).
Author: Pierre Roudier [aut, cre], Colby Brugnard [ctb], Dylan Beaudette [ctb], Benjamin Louis [ctb], Kiri Daust [ctb], David Clifford [ctb], Andrew Brown [ctb]
Maintainer: Pierre Roudier <roudierp@landcareresearch.co.nz>

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Package av updated to version 0.9.6 with previous version 0.9.5 dated 2025-08-25

Title: Working with Audio and Video in R
Description: Bindings to 'FFmpeg' <http://www.ffmpeg.org/> AV library for working with audio and video in R. Generates high quality video from images or R graphics with custom audio. Also offers high performance tools for reading raw audio, creating 'spectrograms', and converting between countless audio / video formats. This package interfaces directly to the C API and does not require any command line utilities.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between av versions 0.9.5 dated 2025-08-25 and 0.9.6 dated 2025-10-20

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Package aster updated to version 1.3-6 with previous version 1.3-5 dated 2025-06-03

Title: Aster Models
Description: Aster models (Geyer, Wagenius, and Shaw, 2007, <doi:10.1093/biomet/asm030>; Shaw, Geyer, Wagenius, Hangelbroek, and Etterson, 2008, <doi:10.1086/588063>; Geyer, Ridley, Latta, Etterson, and Shaw, 2013, <doi:10.1214/13-AOAS653>) are exponential family regression models for life history analysis. They are like generalized linear models except that elements of the response vector can have different families (e. g., some Bernoulli, some Poisson, some zero-truncated Poisson, some normal) and can be dependent, the dependence indicated by a graphical structure. Discrete time survival analysis, life table analysis, zero-inflated Poisson regression, and generalized linear models that are exponential family (e. g., logistic regression and Poisson regression with log link) are special cases. Main use is for data in which there is survival over discrete time periods and there is additional data about what happens conditional on survival (e. g., number of offspring). Uses the ex [...truncated...]
Author: Charles J. Geyer [aut, cre]
Maintainer: Charles J. Geyer <geyer@umn.edu>

Diff between aster versions 1.3-5 dated 2025-06-03 and 1.3-6 dated 2025-10-20

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Sun, 19 Oct 2025

Package sMSROC updated to version 0.1.3 with previous version 0.1.2 dated 2023-12-07

Title: Assessment of Diagnostic and Prognostic Markers
Description: Provides estimations of the Receiver Operating Characteristic (ROC) curve and the Area Under the Curve (AUC) based on the two-stages mixed-subjects ROC curve estimator (Diaz-Coto et al. (2020) <doi:10.1515/ijb-2019-0097> and Diaz-Coto et al. (2020) <doi:10.1080/00949655.2020.1736071>).
Author: Susana Diaz-Coto [aut], Susana Diaz-Coto [cre]
Maintainer: Susana Diaz-Coto <susanacoto@gmail.com>

Diff between sMSROC versions 0.1.2 dated 2023-12-07 and 0.1.3 dated 2025-10-19

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Package RMSD updated to version 0.1.1 with previous version 0.1.0 dated 2023-11-06

Title: Refined Modified Stahel-Donoho Estimators for Outlier Detection
Description: A function for multivariate outlier detection named Modified Stahel-Donoho (MSD) estimators is contained. The function is for elliptically distributed datasets and recognizes outliers based on Mahalanobis distance. The function is called the single core version in Wada & Tsubaki (2013) <doi:10.1109/CLOUDCOM-ASIA.2013.86> and evaluated with other methods in Wada, Kawano & Tsubaki (2020) <doi:10.17713/ajs.v49i2.872>.
Author: Kazumi Wada [aut, cre]
Maintainer: Kazumi Wada <kazwd2008@gmail.com>

Diff between RMSD versions 0.1.0 dated 2023-11-06 and 0.1.1 dated 2025-10-19

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Package semmcci updated to version 1.1.5 with previous version 1.1.4 dated 2024-03-17

Title: Monte Carlo Confidence Intervals in Structural Equation Modeling
Description: Monte Carlo confidence intervals for free and defined parameters in models fitted in the structural equation modeling package 'lavaan' can be generated using the 'semmcci' package. 'semmcci' has three main functions, namely, MC(), MCMI(), and MCStd(). The output of 'lavaan' is passed as the first argument to the MC() function or the MCMI() function to generate Monte Carlo confidence intervals. Monte Carlo confidence intervals for the standardized estimates can also be generated by passing the output of the MC() function or the MCMI() function to the MCStd() function. A description of the package and code examples are presented in Pesigan and Cheung (2024) <doi:10.3758/s13428-023-02114-4>.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph] , Shu Fai Cheung [ctb]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

Diff between semmcci versions 1.1.4 dated 2024-03-17 and 1.1.5 dated 2025-10-19

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Package deforestable updated to version 3.1.2 with previous version 3.1.1 dated 2022-10-15

Title: Classify RGB Images into Forest or Non-Forest
Description: Implements two out-of box classifiers presented in <doi:10.1002/env.2848> for distinguishing forest and non-forest terrain images. Under these algorithms, there are frequentist approaches: one parametric, using stable distributions, and another one- non-parametric, using the squared Mahalanobis distance. The package also contains functions for data handling and building of new classifiers as well as some test data set.
Author: Jesper Muren [aut] , Dmitry Otryakhin [aut, cre]
Maintainer: Dmitry Otryakhin <d.otryakhin.acad@protonmail.ch>

Diff between deforestable versions 3.1.1 dated 2022-10-15 and 3.1.2 dated 2025-10-19

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Package betaSandwich updated to version 1.0.8 with previous version 1.0.7 dated 2024-04-14

Title: Robust Confidence Intervals for Standardized Regression Coefficients
Description: Generates robust confidence intervals for standardized regression coefficients using heteroskedasticity-consistent standard errors for models fitted by lm() as described in Dudgeon (2017) <doi:10.1007/s11336-017-9563-z>. The package can also be used to generate confidence intervals for R-squared, adjusted R-squared, and differences of standardized regression coefficients. A description of the package and code examples are presented in Pesigan, Sun, and Cheung (2023) <doi:10.1080/00273171.2023.2201277>.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

Diff between betaSandwich versions 1.0.7 dated 2024-04-14 and 1.0.8 dated 2025-10-19

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Package betaNB updated to version 1.0.6 with previous version 1.0.5 dated 2025-01-09

Title: Bootstrap for Regression Effect Sizes
Description: Generates nonparametric bootstrap confidence intervals (Efron and Tibshirani, 1993: <doi:10.1201/9780429246593>) for standardized regression coefficients (beta) and other effect sizes, including multiple correlation, semipartial correlations, improvement in R-squared, squared partial correlations, and differences in standardized regression coefficients, for models fitted by lm().
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

Diff between betaNB versions 1.0.5 dated 2025-01-09 and 1.0.6 dated 2025-10-19

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More information about betaNB at CRAN
Permanent link

Package betaMC updated to version 1.3.3 with previous version 1.3.2 dated 2024-04-14

Title: Monte Carlo for Regression Effect Sizes
Description: Generates Monte Carlo confidence intervals for standardized regression coefficients (beta) and other effect sizes, including multiple correlation, semipartial correlations, improvement in R-squared, squared partial correlations, and differences in standardized regression coefficients, for models fitted by lm(). 'betaMC' combines ideas from Monte Carlo confidence intervals for the indirect effect (Pesigan and Cheung, 2024 <doi:10.3758/s13428-023-02114-4>) and the sampling covariance matrix of regression coefficients (Dudgeon, 2017 <doi:10.1007/s11336-017-9563-z>) to generate confidence intervals effect sizes in regression.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

Diff between betaMC versions 1.3.2 dated 2024-04-14 and 1.3.3 dated 2025-10-19

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Package betaDelta updated to version 1.0.6 with previous version 1.0.5 dated 2024-04-14

Title: Confidence Intervals for Standardized Regression Coefficients
Description: Generates confidence intervals for standardized regression coefficients using delta method standard errors for models fitted by lm() as described in Yuan and Chan (2011) <doi:10.1007/s11336-011-9224-6> and Jones and Waller (2015) <doi:10.1007/s11336-013-9380-y>. The package can also be used to generate confidence intervals for differences of standardized regression coefficients and as a general approach to performing the delta method. A description of the package and code examples are presented in Pesigan, Sun, and Cheung (2023) <doi:10.1080/00273171.2023.2201277>.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

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Package HDShOP updated to version 0.1.6 with previous version 0.1.5 dated 2024-03-25

Title: High-Dimensional Shrinkage Optimal Portfolios
Description: Constructs shrinkage estimators of high-dimensional mean-variance portfolios and performs high-dimensional tests on optimality of a given portfolio. The techniques developed in Bodnar et al. (2018 <doi:10.1016/j.ejor.2017.09.028>, 2019 <doi:10.1109/TSP.2019.2929964>, 2020 <doi:10.1109/TSP.2020.3037369>, 2021 <doi:10.1080/07350015.2021.2004897>) are central to the package. They provide simple and feasible estimators and tests for optimal portfolio weights, which are applicable for 'large p and large n' situations where p is the portfolio dimension (number of stocks) and n is the sample size. The package also includes tools for constructing portfolios based on shrinkage estimators of the mean vector and covariance matrix as well as a new Bayesian estimator for the Markowitz efficient frontier recently developed by Bauder et al. (2021) <doi:10.1080/14697688.2020.1748214>.
Author: Taras Bodnar [aut] , Solomiia Dmytriv [aut] , Yarema Okhrin [aut] , Dmitry Otryakhin [aut, cre] , Nestor Parolya [aut]
Maintainer: Dmitry Otryakhin <d.otryakhin.acad@protonmail.ch>

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Package henna updated to version 0.3.4 with previous version 0.2.5 dated 2025-09-18

Title: A Versatile Visualization Suite
Description: A visualization suite primarily designed for single-cell RNA-sequencing data analysis applications, but adaptable to other purposes as well. It introduces novel plots to represent two-variable and frequency data and optimizes some commonly used plotting options (e.g., correlation, network, density and alluvial plots) for ease of usage and flexibility.
Author: Andrei-Florian Stoica [aut, cre]
Maintainer: Andrei-Florian Stoica <andreistoica@foxmail.com>

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New package RPIV with initial version 1.0.0
Package: RPIV
Title: Residual Prediction Test for Well-Specification of Instrumental Variable Models
Version: 1.0.0
Description: A test for the well-specification of the linear instrumental variable model. The test is based on trying to predict the residuals of a two-stage least-squares regression using a random forest. Details can be found in Scheidegger, Londschien and Bühlmann (2025) "A residual prediction test for the well-specification of linear instrumental variable models" <doi:10.48550/arXiv.2506.12771>.
URL: https://github.com/cyrillsch/RPIV
License: GPL (>= 3)
Encoding: UTF-8
Imports: ranger, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-14 12:07:48 UTC; scyrill
Author: Cyrill Scheidegger [aut, cre, cph]
Maintainer: Cyrill Scheidegger <cyrill.scheidegger@stat.math.ethz.ch>
Repository: CRAN
Date/Publication: 2025-10-19 13:10:07 UTC

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New package lightsf with initial version 0.1.0
Package: lightsf
Title: A Curated Collection of Georeferenced and Spatial Datasets
Version: 0.1.0
Maintainer: Ingrid Romero Pinilla <ingridpinilla11@gmail.com>
Description: Provides a diverse collection of georeferenced and spatial datasets from different domains including urban studies, housing markets, environmental monitoring, transportation, and socio-economic indicators. The package consolidates datasets from multiple open sources such as Kaggle, chopin, spData, adespatial, and bivariateLeaflet. It is designed for researchers, analysts, and educators interested in spatial analysis, geostatistics, and geographic data visualization. The datasets include point patterns, polygons, socio-economic data frames, and network-like structures, allowing flexible exploration of geospatial phenomena.
License: GPL-3
URL: https://github.com/roming20/lightsf, https://roming20.github.io/lightsf/
BugReports: https://github.com/roming20/lightsf/issues
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, dplyr, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-14 03:40:58 UTC; ingri
Author: Ingrid Romero Pinilla [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-10-19 13:10:02 UTC

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Package import updated to version 1.3.4 with previous version 1.3.3 dated 2025-10-11

Title: An Import Mechanism for R
Description: Alternative mechanism for importing objects from packages and R modules. The syntax allows for importing multiple objects with a single command in an expressive way. The import package bridges some of the gap between using library (or require) and direct (single-object) imports. Furthermore the imported objects are not placed in the current environment.
Author: Stefan Milton Bache [aut], Magnus Thor Torfason [aut, cre]
Maintainer: Magnus Thor Torfason <m@zulutime.net>

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Package visualpred updated to version 0.1.2 with previous version 0.1.1 dated 2024-11-07

Title: Visualization 2D of Binary Classification Models
Description: Visual contour and 2D point and contour plots for binary classification modeling under algorithms such as 'glm', 'rf', 'gbm', 'nnet' and 'svm', presented over two dimensions generated by 'famd' and 'mca' methods. Package 'FactoMineR' for multivariate reduction functions and package 'MBA' for interpolation functions are used. The package can be used to visualize the discriminant power of input variables and algorithmic modeling, explore outliers, compare algorithm behaviour, etc. It has been created initially for teaching purposes, but it has also many practical uses under the 'XAI' paradigm.
Author: Javier Portela [aut, cre]
Maintainer: Javier Portela <javipgm@gmail.com>

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Package mlt updated to version 1.7-0 with previous version 1.6-6 dated 2025-06-17

Title: Most Likely Transformations
Description: Likelihood-based estimation of conditional transformation models via the most likely transformation approach described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291> and Hothorn (2020) <DOI:10.18637/jss.v092.i01>. Shift-scale (Siegfried et al, 2023, <DOI:10.1080/00031305.2023.2203177>) and multivariate (Klein et al, 2022, <DOI:10.1111/sjos.12501>) transformation models are part of this package. A package vignette is available from <DOI:10.32614/CRAN.package.mlt.docreg> and more convenient user interfaces to many models from <DOI:10.32614/CRAN.package.tram>.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package guideR updated to version 0.5.0 with previous version 0.4.1 dated 2025-09-16

Title: Miscellaneous Statistical Functions Used in 'guide-R'
Description: Companion package for the manual 'guide-R : Guide pour l’analyse de données d’enquêtes avec R' available at <https://larmarange.github.io/guide-R/>. 'guideR' implements miscellaneous functions introduced in 'guide-R' to facilitate statistical analysis and manipulation of survey data.
Author: Joseph Larmarange [aut, cre]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

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Package AssumpSure updated to version 1.1.2 with previous version 1.1.1 dated 2025-09-18

Title: 'shiny' Application for Statistical Test Assumption Checking and Guidance
Description: A 'shiny' application to assess statistical assumptions and guide users toward appropriate tests. The app is designed for researchers with minimal statistical training and provides diagnostics, plots, and test recommendations for a wide range of analyses. Many statistical assumptions are implemented using the package 'rstatix' (Kassambara, 2019) <doi:10.32614/CRAN.package.rstatix> and 'performance' (Lüdecke et al., 2021) <doi:10.21105/joss.03139>.
Author: Ahmed Bargheet [aut, cre]
Maintainer: Ahmed Bargheet <ahmed.bargheet@yahoo.com>

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Package ebirdst updated to version 3.2023.1 with previous version 3.2023.0 dated 2025-05-07

Title: Access and Analyze eBird Status and Trends Data Products
Description: Tools for accessing and analyzing eBird Status and Trends Data Products (<https://science.ebird.org/en/status-and-trends>). eBird (<https://ebird.org/home>) is a global database of bird observations collected by member of the public. eBird Status and Trends uses these data to model global bird distributions, abundances, and population trends at a high spatial and temporal resolution.
Author: Matthew Strimas-Mackey [aut, cre] , Shawn Ligocki [aut], Tom Auer [aut] , Daniel Fink [aut] , Cornell Lab of Ornithology [cph]
Maintainer: Matthew Strimas-Mackey <mes335@cornell.edu>

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Package brfinance updated to version 0.2.2 with previous version 0.2.1 dated 2025-10-17

Title: Simplified Access to Brazilian Financial and Macroeconomic Data
Description: It offers simplified access to Brazilian macroeconomic and financial indicators selected from official sources, such as the 'IBGE' (Brazilian Institute of Geography and Statistics) via the 'SIDRA' API and the 'Central Bank of Brazil' via the 'SGS' API. It allows users to quickly retrieve and visualize data series such as the unemployment rate and the Selic interest rate. This package was developed for data access and visualization purposes, without generating forecasts or statistical results. For more information, see the official APIs: <https://sidra.ibge.gov.br/> and <https://dadosabertos.bcb.gov.br/dataset/>.
Author: Joao Paulo dos Santos Pereira Barbosa [aut, cre]
Maintainer: Joao Paulo dos Santos Pereira Barbosa <joao.31582129@gmail.com>

Diff between brfinance versions 0.2.1 dated 2025-10-17 and 0.2.2 dated 2025-10-19

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Package PMwR updated to version 1.1-0 with previous version 1.0-1 dated 2024-10-19

Title: Portfolio Management with R
Description: Tools for the practical management of financial portfolios: backtesting investment and trading strategies, computing profit/loss and returns, analysing trades, handling lists of transactions, reporting, and more. The package provides a small set of reliable, efficient and convenient tools for processing and analysing trade/portfolio data. The manual provides all the details; it is available from <https://enricoschumann.net/R/packages/PMwR/manual/PMwR.html>. Examples and descriptions of new features are provided at <https://enricoschumann.net/notes/PMwR/>.
Author: Enrico Schumann [aut, cre]
Maintainer: Enrico Schumann <es@enricoschumann.net>

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Package baker (with last version 1.0.3) was removed from CRAN

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

2024-01-30 1.0.3
2023-12-21 1.0.2

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Package matrixCorr (with last version 0.5.1) was removed from CRAN

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

2025-09-22 0.5.1
2025-08-26 0.3.1

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Package tinytable updated to version 0.15.0 with previous version 0.14.0 dated 2025-09-29

Title: Simple and Configurable Tables in 'HTML', 'LaTeX', 'Markdown', 'Word', 'PNG', 'PDF', and 'Typst' Formats
Description: Create highly customized tables with this simple and dependency-free package. Data frames can be converted to 'HTML', 'LaTeX', 'Markdown', 'Word', 'PNG', 'PDF', or 'Typst' tables. The user interface is minimalist and easy to learn. The syntax is concise. 'HTML' tables can be customized using the flexible 'Bootstrap' framework, and 'LaTeX' code with the 'tabularray' package.
Author: Vincent Arel-Bundock [aut, cre]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package Synth updated to version 1.1-9 with previous version 1.1-8 dated 2023-06-02

Title: Synthetic Control Group Method for Comparative Case Studies
Description: Implements the synthetic control group method for comparative case studies as described in Abadie and Gardeazabal (2003) and Abadie, Diamond, and Hainmueller (2010, 2011, 2014). The synthetic control method allows for effect estimation in settings where a single unit (a state, country, firm, etc.) is exposed to an event or intervention. It provides a data-driven procedure to construct synthetic control units based on a weighted combination of comparison units that approximates the characteristics of the unit that is exposed to the intervention. A combination of comparison units often provides a better comparison for the unit exposed to the intervention than any comparison unit alone.
Author: Jens Hainmueller [aut, cre], Alexis Diamond [aut]
Maintainer: Jens Hainmueller <jhain@stanford.edu>

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Package HARplus updated to version 1.1.0 with previous version 1.0.1 dated 2025-03-13

Title: Enhanced R Package for 'GEMPACK' .har and .sl4 Files
Description: Provides tools for processing and analyzing .har and .sl4 files, making it easier for 'GEMPACK' users and 'GTAP' researchers to handle large economic datasets. It simplifies the management of multiple experiment results, enabling faster and more efficient comparisons without complexity. Users can extract, restructure, and merge data seamlessly, ensuring compatibility across different tools. The processed data can be exported and used in 'R', 'Stata', 'Python', 'Julia', or any software that supports Text, CSV, or 'Excel' formats.
Author: Pattawee Puangchit [aut, cre]
Maintainer: Pattawee Puangchit <ppuangch@purdue.edu>

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Package growthPheno updated to version 3.1.18 with previous version 3.1.13 dated 2025-07-22

Title: Functional Analysis of Phenotypic Growth Data to Smooth and Extract Traits
Description: Assists in the plotting and functional smoothing of traits measured over time and the extraction of features from these traits, implementing the SET (Smoothing and Extraction of Traits) method described in Brien et al. (2020) Plant Methods, 16. Smoothing of growth trends for individual plants using natural cubic smoothing splines or P-splines is available for removing transient effects and segmented smoothing is available to deal with discontinuities in growth trends. There are graphical tools for assessing the adequacy of trait smoothing, both when using this and other packages, such as those that fit nonlinear growth models. A range of per-unit (plant, pot, plot) growth traits or features can be extracted from the data, including single time points, interval growth rates and other growth statistics, such as maximum growth or days to maximum growth. The package also has tools adapted to inputting data from high-throughput phenotyping facilities, such from a Lemna-Tec Scananalyzer 3D ( [...truncated...]
Author: Chris Brien [aut, cre]
Maintainer: Chris Brien <chris.brien@adelaide.edu.au>

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Package diffdf updated to version 1.1.2 with previous version 1.1.1 dated 2024-09-24

Title: Dataframe Difference Tool
Description: Functions for comparing two data.frames against each other. The core functionality is to provide a detailed breakdown of any differences between two data.frames as well as providing utility functions to help narrow down the source of problems and differences.
Author: Craig Gower-Page [cre, aut], Kieran Martin [aut]
Maintainer: Craig Gower-Page <craiggower@gmail.com>

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Package tidypaleo updated to version 0.1.4 with previous version 0.1.3 dated 2023-01-18

Title: Tidy Tools for Paleoenvironmental Archives
Description: Provides a set of functions with a common framework for age-depth model management, stratigraphic visualization, and common statistical transformations. The focus of the package is stratigraphic visualization, for which 'ggplot2' components are provided to reproduce the scales, geometries, facets, and theme elements commonly used in publication-quality stratigraphic diagrams. Helpers are also provided to reproduce the exploratory statistical summaries that are frequently included on stratigraphic diagrams. See Dunnington et al. (2021) <doi:10.18637/jss.v101.i07>.
Author: Dewey Dunnington [aut, cre, cph]
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>

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Sat, 18 Oct 2025

Package cohorttools updated to version 0.1.7 with previous version 0.1.6 dated 2022-11-23

Title: Cohort Data Analyses
Description: Functions to make lifetables and to calculate hazard function estimate using Poisson regression model with splines. Includes function to draw simple flowchart of cohort study. Function boxesLx() makes boxes of transition rates between states. It utilizes 'Epi' package 'Lexis' data.
Author: Jari Haukka [aut, cre]
Maintainer: Jari Haukka <jari.haukka@helsinki.fi>

Diff between cohorttools versions 0.1.6 dated 2022-11-23 and 0.1.7 dated 2025-10-18

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Package highlightr updated to version 1.2.0 with previous version 1.1.2 dated 2025-06-26

Title: Highlight Conserved Edits Across Versions of a Document
Description: Input multiple versions of a source document, and receive HTML code for a highlighted version of the source document indicating the frequency of occurrence of phrases in the different versions. This method is described in Chapter 3 of Rogers (2024) <https://digitalcommons.unl.edu/dissertations/AAI31240449/>.
Author: Center for Statistics and Applications in Forensic Evidence [aut, cph, fnd], Rachel Rogers [aut, cre] , Susan VanderPlas [aut]
Maintainer: Rachel Rogers <rrogers.rpackages@gmail.com>

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Package cpfa updated to version 1.2-2 with previous version 1.2-1 dated 2025-07-07

Title: Classification with Parallel Factor Analysis
Description: Classification using Richard A. Harshman's Parallel Factor Analysis-1 (Parafac) model or Parallel Factor Analysis-2 (Parafac2) model fit to a three-way or four-way data array. See Harshman and Lundy (1994): <doi:10.1016/0167-9473(94)90132-5>. Uses component weights from one mode of a Parafac or Parafac2 model as features to tune parameters for one or more classification methods via a k-fold cross-validation procedure. Allows for constraints on different tensor modes. Supports penalized logistic regression, support vector machine, random forest, feed-forward neural network, regularized discriminant analysis, and gradient boosting machine. Supports binary and multiclass classification. Predicts class labels or class probabilities and calculates multiple classification performance measures. Implements parallel computing via the 'parallel' and 'doParallel' packages.
Author: Matthew A. Asisgress [aut, cre]
Maintainer: Matthew A. Asisgress <mattgress@protonmail.ch>

Diff between cpfa versions 1.2-1 dated 2025-07-07 and 1.2-2 dated 2025-10-18

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Package wikiTools updated to version 1.2.15 with previous version 1.2.14 dated 2025-07-11

Title: Tools for Wikidata and Wikipedia
Description: A set of wrappers intended to check, read and download information from the Wikimedia sources. It is specifically created to work with names of celebrities, in which case their information and statistics can be downloaded. Additionally, it also builds links and snippets to use in combination with the function gallery() in netCoin package.
Author: Modesto Escobar [aut, cph, cre] , Angel Zazo [aut], Carlos Prieto [aut] , David Barrios [aut], Cristina Calvo [aut]
Maintainer: Modesto Escobar <modesto@usal.es>

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Package MIAmaxent updated to version 1.4.0 with previous version 1.3.1 dated 2024-08-23

Title: A Modular, Integrated Approach to Maximum Entropy Distribution Modeling
Description: Tools for training, selecting, and evaluating maximum entropy (and standard logistic regression) distribution models. This package provides tools for user-controlled transformation of explanatory variables, selection of variables by nested model comparison, and flexible model evaluation and projection. It follows principles based on the maximum- likelihood interpretation of maximum entropy modeling, and uses infinitely- weighted logistic regression for model fitting. The package is described in Vollering et al. (2019; <doi:10.1002/ece3.5654>).
Author: Julien Vollering [aut, cre], Sabrina Mazzoni [aut], Rune Halvorsen [aut], Steven Phillips [cph], Michael Bedward [ctb]
Maintainer: Julien Vollering <julienvollering@gmail.com>

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Package marlod updated to version 0.2.2 with previous version 0.2.1 dated 2025-05-27

Title: Marginal Modeling for Exposure Data with Values Below the LOD
Description: Functions of marginal mean and quantile regression models are used to analyze environmental exposure and biomonitoring data with repeated measurements and non-detects (i.e., values below the limit of detection (LOD)), as well as longitudinal exposure data that include non-detects and time-dependent covariates. For more details see Chen IC, Bertke SJ, Curwin BD (2021) <doi:10.1038/s41370-021-00345-1>, Chen IC, Bertke SJ, Estill CF (2024) <doi:10.1038/s41370-024-00640-7>, Chen IC, Bertke SJ, Dahm MM (2024) <doi:10.1093/annweh/wxae068>, and Chen IC (2025) <doi:10.1038/s41370-025-00752-8>.
Author: I-Chen Chen [cre, aut] , Philip Westgate [ctb], Liya Fu [ctb]
Maintainer: I-Chen Chen <flecsh@gmail.com>

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Package scINSIGHT updated to version 0.1.5 with previous version 0.1.4 dated 2022-05-29

Title: Interpretation of Heterogeneous Single-Cell Gene Expression Data
Description: We develop a novel matrix factorization tool named 'scINSIGHT' to jointly analyze multiple single-cell gene expression samples from biologically heterogeneous sources, such as different disease phases, treatment groups, or developmental stages. Given multiple gene expression samples from different biological conditions, 'scINSIGHT' simultaneously identifies common and condition-specific gene modules and quantify their expression levels in each sample in a lower-dimensional space. With the factorized results, the inferred expression levels and memberships of common gene modules can be used to cluster cells and detect cell identities, and the condition-specific gene modules can help compare functional differences in transcriptomes from distinct conditions. Please also see Qian K, Fu SW, Li HW, Li WV (2022) <doi:10.1186/s13059-022-02649-3>.
Author: Kun Qian [aut, ctb, cre] , Wei Vivian Li [aut, ctb]
Maintainer: Kun Qian <Kun_Qian@foxmail.com>

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Package SSDforR updated to version 2.2 with previous version 2.1 dated 2025-06-17

Title: Functions to Analyze Single System Data
Description: Functions to visually and statistically analyze single system data.
Author: Charles Auerbach [aut, cre], Wendy Zeitlin [aut]
Maintainer: Charles Auerbach <auerbach@yu.edu>

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Package fmpapi updated to version 1.0.0 with previous version 0.2.1 dated 2025-05-07

Title: Flexible Client for the 'Financial Modeling Prep' API
Description: Provides a flexible interface to the 'Financial Modeling Prep' API <https://site.financialmodelingprep.com/developer/docs>. The package supports all available endpoints and parameters, enabling R users to interact with a wide range of financial data.
Author: Christoph Scheuch [aut, cre, cph]
Maintainer: Christoph Scheuch <christoph@tidy-intelligence.com>

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Package tna updated to version 1.1.0 with previous version 1.0.0 dated 2025-07-15

Title: Transition Network Analysis (TNA)
Description: Provides tools for performing Transition Network Analysis (TNA) to study relational dynamics, including functions for building and plotting TNA models, calculating centrality measures, and identifying dominant events and patterns. TNA statistical techniques (e.g., bootstrapping and permutation tests) ensure the reliability of observed insights and confirm that identified dynamics are meaningful. See (Saqr et al., 2025) <doi:10.1145/3706468.3706513> for more details on TNA.
Author: Mohammed Saqr [aut], Santtu Tikka [aut], Sonsoles Lopez-Pernas [aut, cre]
Maintainer: Sonsoles Lopez-Pernas <sonsoles.lopez@uef.fi>

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Package huito updated to version 0.2.6 with previous version 0.2.5 dated 2024-09-05

Title: Reproducible and Flexible Label Design
Description: An open-source R package to deploys reproducible and flexible labels using layers. The 'huito' package is part of the 'inkaverse' project for developing different procedures and tools used in plant science and experimental designs. Learn more about the 'inkaverse' project at <https://inkaverse.com/>.
Author: Flavio Lozano-Isla [aut, cre] , Inkaverse [cph]
Maintainer: Flavio Lozano-Isla <flozanoisla@gmail.com>

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Package ggalign updated to version 1.2.0 with previous version 1.1.0 dated 2025-09-11

Title: A 'ggplot2' Extension for Composable Visualization
Description: A 'ggplot2' extension providing an integrative framework for composable visualization, enabling the creation of complex multi-plot layouts such as insets, circular arrangements, and multi-panel compositions. Built on the grammar of graphics, it offers tools to align, stack, and nest plots, simplifying the construction of richly annotated figures for high-dimensional data contexts—such as genomics, transcriptomics, and microbiome studies—by making it easy to link related plots, overlay clustering results, or highlight shared patterns.
Author: Yun Peng [aut, cre] , Shixiang Wang [aut] , Guangchuang Yu [ths]
Maintainer: Yun Peng <yunyunp96@163.com>

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Package ClusterR updated to version 1.3.5 with previous version 1.3.4 dated 2025-09-14

Title: Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids and Affinity Propagation Clustering
Description: Gaussian mixture models, k-means, mini-batch-kmeans, k-medoids and affinity propagation clustering with the option to plot, validate, predict (new data) and estimate the optimal number of clusters. The package takes advantage of 'RcppArmadillo' to speed up the computationally intensive parts of the functions. For more information, see (i) "Clustering in an Object-Oriented Environment" by Anja Struyf, Mia Hubert, Peter Rousseeuw (1997), Journal of Statistical Software, <doi:10.18637/jss.v001.i04>; (ii) "Web-scale k-means clustering" by D. Sculley (2010), ACM Digital Library, <doi:10.1145/1772690.1772862>; (iii) "Armadillo: a template-based C++ library for linear algebra" by Sanderson et al (2016), The Journal of Open Source Software, <doi:10.21105/joss.00026>; (iv) "Clustering by Passing Messages Between Data Points" by Brendan J. Frey and Delbert Dueck, Science 16 Feb 2007: Vol. 315, Issue 5814, pp. 972-976, <doi:10.1126/science.1136800>.
Author: Lampros Mouselimis [aut, cre] , Conrad Sanderson [cph] , Ryan Curtin [cph] , Siddharth Agrawal [cph] ), Brendan Frey [cph] ), Delbert Dueck [cph] , Vitalie Spinu [ctb] , Frederiek - Maarten Kerckhof [ctb]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between ClusterR versions 1.3.4 dated 2025-09-14 and 1.3.5 dated 2025-10-18

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Package rstatix updated to version 0.7.3 with previous version 0.7.2 dated 2023-02-01

Title: Pipe-Friendly Framework for Basic Statistical Tests
Description: Provides a simple and intuitive pipe-friendly framework, coherent with the 'tidyverse' design philosophy, for performing basic statistical tests, including t-test, Wilcoxon test, ANOVA, Kruskal-Wallis and correlation analyses. The output of each test is automatically transformed into a tidy data frame to facilitate visualization. Additional functions are available for reshaping, reordering, manipulating and visualizing correlation matrix. Functions are also included to facilitate the analysis of factorial experiments, including purely 'within-Ss' designs (repeated measures), purely 'between-Ss' designs, and mixed 'within-and-between-Ss' designs. It's also possible to compute several effect size metrics, including "eta squared" for ANOVA, "Cohen's d" for t-test and 'Cramer V' for the association between categorical variables. The package contains helper functions for identifying univariate and multivariate outliers, assessing normality and homogeneity of variances.
Author: Alboukadel Kassambara [aut, cre]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>

Diff between rstatix versions 0.7.2 dated 2023-02-01 and 0.7.3 dated 2025-10-18

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Package lessSEM updated to version 1.5.7 with previous version 1.5.6 dated 2025-08-25

Title: Non-Smooth Regularization for Structural Equation Models
Description: Provides regularized structural equation modeling (regularized SEM) with non-smooth penalty functions (e.g., lasso) building on 'lavaan'. The package is heavily inspired by the ['regsem'](<https://github.com/Rjacobucci/regsem>) and ['lslx'](<https://github.com/psyphh/lslx>) packages.
Author: Jannik H. Orzek [aut, cre, cph]
Maintainer: Jannik H. Orzek <jannik.orzek@mailbox.org>

Diff between lessSEM versions 1.5.6 dated 2025-08-25 and 1.5.7 dated 2025-10-18

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Permanent link

Package metacoder (with last version 0.3.8) was removed from CRAN

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

2025-02-11 0.3.8

Permanent link
Package DescrTab2 (with last version 2.1.16) was removed from CRAN

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

2022-09-06 2.1.16
2022-01-20 2.1.9
2021-12-02 2.1.7
2021-03-15 2.0.7
2020-12-16 2.0.3

Permanent link
Package tidystats (with last version 0.6.3) was removed from CRAN

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

2025-04-06 0.6.3
2024-07-14 0.6.2
2024-04-09 0.6.1
2023-10-16 0.6.0

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Package fclust updated to version 2.1.3 with previous version 2.1.2 dated 2025-07-22

Title: Fuzzy Clustering
Description: Algorithms for fuzzy clustering, cluster validity indices and plots for cluster validity and visualizing fuzzy clustering results.
Author: Paolo Giordani [aut, cre], Maria Brigida Ferraro [aut], Alessio Serafini [aut]
Maintainer: Paolo Giordani <paolo.giordani@uniroma1.it>

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Package spatstat.data updated to version 3.1-9 with previous version 3.1-8 dated 2025-08-18

Title: Datasets for 'spatstat' Family
Description: Contains all the datasets for the 'spatstat' family of packages.
Author: Adrian Baddeley [aut, cre] , Rolf Turner [aut] , Ege Rubak [aut] , W Aherne [ctb], Freda Alexander [ctb], Qi Wei Ang [ctb], Sourav Banerjee [ctb], Mark Berman [ctb], R Bernhardt [ctb], Thomas Berndtsen [ctb], Andrew Bevan [ctb], Jeffrey Betts [ctb], [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package textmineR updated to version 3.0.6 with previous version 3.0.5 dated 2021-06-28

Title: Functions for Text Mining and Topic Modeling
Description: An aid for text mining in R, with a syntax that should be familiar to experienced R users. Provides a wrapper for several topic models that take similarly-formatted input and give similarly-formatted output. Has additional functionality for analyzing and diagnostics for topic models.
Author: Tommy Jones [aut, cre], William Doane [ctb], Mattias Attbom [ctb]
Maintainer: Tommy Jones <jones.thos.w@gmail.com>

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Package kalmanfilter updated to version 2.2.0 with previous version 2.1.1 dated 2024-03-07

Title: Kalman Filter
Description: 'Rcpp' implementation of the multivariate Kalman filter for state space models that can handle missing values and exogenous data in the observation and state equations. There is also a function to handle time varying parameters. Kim, Chang-Jin and Charles R. Nelson (1999) "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications" <doi:10.7551/mitpress/6444.001.0001><http://econ.korea.ac.kr/~cjkim/>.
Author: Alex Hubbard [aut, cre]
Maintainer: Alex Hubbard <hubbard.alex@gmail.com>

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Package FastJM updated to version 1.5.2 with previous version 1.5.1 dated 2025-07-23

Title: Semi-Parametric Joint Modeling of Longitudinal and Survival Data
Description: Maximum likelihood estimation for the semi-parametric joint modeling of competing risks and (multivariate) longitudinal data applying customized linear scan algorithms, proposed by Li and colleagues (2022) <doi:10.1155/2022/1362913>. The time-to-event data is modelled using a (cause-specific) Cox proportional hazards regression model with time-fixed covariates. The longitudinal outcome is modelled using a linear mixed effects model. The association is captured by shared random effects. The model is estimated using an Expectation Maximization algorithm.
Author: Shanpeng Li [aut, cre], Ning Li [ctb], Hong Wang [ctb], Jin Zhou [ctb], Hua Zhou [ctb], Gang Li [ctb]
Maintainer: Shanpeng Li <lishanpeng0913@ucla.edu>

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Package PRTree updated to version 1.0.1 with previous version 1.0.0 dated 2025-10-09

Title: Probabilistic Regression Trees
Description: Implementation of Probabilistic Regression Trees (PRTree), providing functions for model fitting and prediction, with specific adaptations to handle missing values. The main computations are implemented in 'Fortran' for high efficiency. The package is based on the PRTree methodology described in Alkhoury et al. (2020), "Smooth and Consistent Probabilistic Regression Trees" <https://proceedings.neurips.cc/paper_files/paper/2020/file/8289889263db4a40463e3f358bb7c7a1-Paper.pdf>. Details on the treatment of missing data and implementation aspects are presented in Prass, T.S.; Neimaier, A.S.; Pumi, G. (2025), "Handling Missing Data in Probabilistic Regression Trees: Methods and Implementation in R" <doi:10.48550/arXiv.2510.03634>.
Author: Alisson Silva Neimaier [aut] , Taiane Schaedler Prass [aut, ths, cre]
Maintainer: Taiane Schaedler Prass <taianeprass@gmail.com>

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Package lme4breeding updated to version 1.0.90 with previous version 1.0.80 dated 2025-09-22

Title: Breeding-Related Mixed-Effects Models
Description: Fit relationship-based and customized mixed-effects models with complex variance-covariance structures using the 'lme4' machinery. The core computational algorithms are implemented using the 'Eigen' 'C++' library for numerical linear algebra and 'RcppEigen' 'glue'.
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

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Package choroplethr updated to version 5.0.1 with previous version 5.0.0 dated 2025-06-26

Title: Create Color-Coded Choropleth Maps in R
Description: Easily create color-coded (choropleth) maps in R. No knowledge of cartography or shapefiles needed; go directly from your geographically identified data to a highly customizable map with a single line of code! Supported geographies: U.S. states, counties, census tracts, and zip codes, world countries and sub-country regions (e.g., provinces, prefectures, etc.).
Author: Ari Lamstein [aut], Zhaochen He [ctb, cre], Brian Johnson [ctb], Trulia, Inc. [cph]
Maintainer: Zhaochen He <zhaochen.he@cnu.edu>

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Fri, 17 Oct 2025

Package rmcmc updated to version 0.1.2 with previous version 0.1.1 dated 2025-02-04

Title: Robust Markov Chain Monte Carlo Methods
Description: Functions for simulating Markov chains using the Barker proposal to compute Markov chain Monte Carlo (MCMC) estimates of expectations with respect to a target distribution on a real-valued vector space. The Barker proposal, described in Livingstone and Zanella (2022) <doi:10.1111/rssb.12482>, is a gradient-based MCMC algorithm inspired by the Barker accept-reject rule. It combines the robustness of simpler MCMC schemes, such as random-walk Metropolis, with the efficiency of gradient-based methods, such as the Metropolis adjusted Langevin algorithm. The key function provided by the package is sample_chain(), which allows sampling a Markov chain with a specified target distribution as its stationary distribution. The chain is sampled by generating proposals and accepting or rejecting them using a Metropolis-Hasting acceptance rule. During an initial warm-up stage, the parameters of the proposal distribution can be adapted, with adapters available to both: tune the scale of the prop [...truncated...]
Author: Matthew M. Graham [aut, cre] , Samuel Livingstone [aut] , University College London [cph], Engineering and Physical Sciences Research Council [fnd]
Maintainer: Matthew M. Graham <m.graham@ucl.ac.uk>

Diff between rmcmc versions 0.1.1 dated 2025-02-04 and 0.1.2 dated 2025-10-17

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Package rlibkriging readmission to version 0.9-2.3 with previous version 0.9-2.2 dated 2025-08-27

Title: Kriging Models using the 'libKriging' Library
Description: Interface to 'libKriging' 'C++' library <https://github.com/libKriging> that should provide most standard Kriging / Gaussian process regression features (like in 'DiceKriging', 'kergp' or 'RobustGaSP' packages). 'libKriging' relies on Armadillo linear algebra library (Apache 2 license) by Conrad Sanderson, 'lbfgsb_cpp' is a 'C++' port around by Pascal Have of 'lbfgsb' library (BSD-3 license) by Ciyou Zhu, Richard Byrd, Jorge Nocedal and Jose Luis Morales used for hyperparameters optimization.
Author: Yann Richet [aut, cre] , Pascal Have [aut], Yves Deville [aut], Conrad Sanderson [ctb], Ciyou Zhu [ctb], Richard Byrd [ctb], Jorge Nocedal [ctb], Jose Luis Morales [ctb], Mike Smith [ctb]
Maintainer: Yann Richet <yann.richet@asnr.fr>

This is a re-admission after prior archival of version 0.9-2.2 dated 2025-08-27

Diff between rlibkriging versions 0.9-2.2 dated 2025-08-27 and 0.9-2.3 dated 2025-10-17

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Package kimfilter updated to version 1.1.0 with previous version 1.0.3 dated 2024-03-08

Title: Kim Filter
Description: 'Rcpp' implementation of the multivariate Kim filter, which combines the Kalman and Hamilton filters for state probability inference. The filter is designed for state space models and can handle missing values and exogenous data in the observation and state equations. Kim, Chang-Jin and Charles R. Nelson (1999) "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications" <doi:10.7551/mitpress/6444.001.0001><http://econ.korea.ac.kr/~cjkim/>.
Author: Alex Hubbard [aut, cre]
Maintainer: Alex Hubbard <hubbard.alex@gmail.com>

Diff between kimfilter versions 1.0.3 dated 2024-03-08 and 1.1.0 dated 2025-10-17

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Package impectR updated to version 2.5.2 with previous version 2.5.1 dated 2025-10-15

Title: Access Data from the 'Impect' API
Description: Pull data from the 'Impect' Customer API <https://glossary.impect.com/api-design>. The package can retrieve data such as events or match sums.
Author: Impect GmbH [cph], Florian Schmitt [aut, cre], Thomas Walentin [ctb]
Maintainer: Florian Schmitt <florian.schmitt@impect.com>

Diff between impectR versions 2.5.1 dated 2025-10-15 and 2.5.2 dated 2025-10-17

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Package rspacer updated to version 0.3.0 with previous version 0.2.0 dated 2025-07-05

Title: 'RSpace' API Wrapper
Description: Wrapper for the 'RSpace' Electronic Lab Notebook (<https://www.researchspace.com/>) API. This packages provides convenience functions to browse, search, create, and edit your 'RSpace' documents. In addition, it enables filling 'RSpace' templates from R Markdown/Quarto templates or tabular data (e.g., 'Excel' files). This R package is not developed or endorsed by 'Research Space'.
Author: Gerhard Burger [aut, cre] , Hanneke Leegwater [aut]
Maintainer: Gerhard Burger <burger.ga@gmail.com>

Diff between rspacer versions 0.2.0 dated 2025-07-05 and 0.3.0 dated 2025-10-17

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New package partialling.out with initial version 0.2.0
Package: partialling.out
Title: Residuals from Partial Regressions
Version: 0.2.0
Description: Creates a data frame with the residuals of partial regressions of the main explanatory variable and the variable of interest. This method follows the Frisch-Waugh-Lovell theorem, as explained in Lovell (2008) <doi:10.3200/JECE.39.1.88-91>.
License: GPL (>= 3)
BugReports: https://github.com/ropensci/partialling.out/issues/
Suggests: tinytest, tinysnapshot, knitr, rmarkdown, palmerpenguins, tinytable, fwlplot, tsibble, units, purrr, fontquiver, rsvg, svglite
Encoding: UTF-8
VignetteBuilder: knitr
Imports: glue, lifecycle, rlang, fixest, lfe, stats, tinyplot
URL: https://docs.ropensci.org/partialling.out/, https://github.com/ropensci/partialling.out/
NeedsCompilation: no
Packaged: 2025-10-12 18:55:10 UTC; marc
Author: Marc Bosch-Matas [aut, cre] , Christian Testa [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/703>), Kyle Butts [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/703>), Adam Loy [rev] for rOpen [...truncated...]
Maintainer: Marc Bosch-Matas <mboschmatas@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2025-10-17 20:10:02 UTC

More information about partialling.out at CRAN
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New package nbpInference with initial version 1.0.3
Package: nbpInference
Title: Inference on Average Treatment Effects for Continuous Treatments
Version: 1.0.3
Maintainer: Anthony Frazier <anthony.frazier@colostate.edu>
Description: Conduct inference on the sample average treatment effect for a matched (observational) dataset with a continuous treatment. Equipped with calipered non-bipartite matching, bias-corrected sample average treatment effect estimation, and covariate-adjusted variance estimation. Matching, estimation, and inference methods are described in Frazier, Heng and Zhou (2024) <doi:10.48550/arXiv.2409.11701>.
Imports: nbpMatching, stats, Rdpack
URL: https://github.com/AnthonyFrazierCSU/nbpInference
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
BugReports: https://github.com/AnthonyFrazierCSU/nbpInference/issues
NeedsCompilation: no
Packaged: 2025-10-12 21:17:37 UTC; iaman
Author: Anthony Frazier [aut, cre, cph], Siyu Heng [aut], Wen Zhou [aut]
Repository: CRAN
Date/Publication: 2025-10-17 20:10:07 UTC

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New package mvalpha with initial version 0.5.1
Package: mvalpha
Title: Krippendorff's Alpha for Multi-Valued Data
Version: 0.5.1
Description: Calculate Krippendorff's alpha for multi-valued data using the methods introduced by Krippendorff and Craggs (2016) <doi:10.1080/19312458.2016.1228863>. Nominal, ordinal, interval, and ratio data types are supported, with options to create bootstrapped estimates of alpha and/or parallelize calculations.
License: AGPL (>= 3)
Encoding: UTF-8
URL: https://github.com/therealcfdrake/mvalpha
BugReports: https://github.com/therealcfdrake/mvalpha/issues
Depends: R (>= 4.2.0)
LazyData: true
Imports: stats, utils, rlang, Rdpack
Suggests: parallel
NeedsCompilation: no
Packaged: 2025-10-13 15:24:27 UTC; corie
Author: Corie Drake [aut, cre, cph]
Maintainer: Corie Drake <therealcfdrake@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-17 20:20:07 UTC

More information about mvalpha at CRAN
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New package MSUthemes with initial version 1.0.0
Package: MSUthemes
Title: Michigan State University (MSU) Palettes and Themes
Version: 1.0.0
Maintainer: Emilio Xavier Esposito <emilio.esposito@gmail.com>
Description: Defines colour palettes and themes for Michigan State University (MSU) publications and presentations. Palettes and themes are supported in both base R and 'ggplot2' graphics, and are intended to provide consistency between those creating documents and presentations.
License: CC BY-SA 4.0
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: ggplot2, graphics, grDevices, purrr, showtext, sysfonts, systemfonts
Suggests: covr, devtools, ggrepel, scales, dplyr, knitr, markdown, quarto, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: quarto
URL: https://github.com/emilioxavier/MSUthemes, https://emilioxavier.github.io/MSUthemes/
BugReports: https://github.com/emilioxavier/MSUthemes/issues
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-13 20:25:05 UTC; emilio
Author: Emilio Xavier Esposito [aut, cre, cph] , Nicola Rennie [aut], Michigan State University [fnd]
Repository: CRAN
Date/Publication: 2025-10-17 20:30:02 UTC

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Package CoImp updated to version 2.1.1 with previous version 2.1.0 dated 2025-04-30

Title: Parametric and Nonparametric Copula-Based Imputation Methods
Description: Copula-based imputation methods: parametric and nonparametric algorithms for missing multivariate data through conditional copulas.
Author: Francesca Marta Lilja Di Lascio [aut, cre], Aurora Gatto [aut], Simone Giannerini [aut]
Maintainer: Francesca Marta Lilja Di Lascio <marta.dilascio@unibz.it>

Diff between CoImp versions 2.1.0 dated 2025-04-30 and 2.1.1 dated 2025-10-17

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New package clusterGGM with initial version 0.1.0
Package: clusterGGM
Title: Sparse Gaussian Graphical Modeling with Variable Clustering
Version: 0.1.0
Date: 2025-10-13
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.9), dplyr, parallel, rlang, stats
Suggests: mvtnorm
LinkingTo: Rcpp, RcppEigen
Description: Perform sparse estimation of a Gaussian graphical model (GGM) with node aggregation through variable clustering. Currently, the package implements the clusterpath estimator of the Gaussian graphical model (CGGM) (Touw, Alfons, Groenen & Wilms, 2025; <doi:10.48550/arXiv.2407.00644>).
License: GPL (>= 3)
URL: https://github.com/aalfons/clusterGGM
BugReports: https://github.com/aalfons/clusterGGM/issues
Author: Daniel J.W. Touw [aut] , Andreas Alfons [aut, cre] , Ines Wilms [aut] , Patrick J.F. Groenen [ths]
Maintainer: Andreas Alfons <alfons@ese.eur.nl>
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-10-13 15:58:42 UTC; alfons
Repository: CRAN
Date/Publication: 2025-10-17 20:20:13 UTC

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Package BayesChange updated to version 2.1.1 with previous version 2.1.0 dated 2025-04-28

Title: Bayesian Methods for Change Points Analysis
Description: Perform change points detection on univariate and multivariate time series according to the methods presented by Asael Fabian Martínez and Ramsés H. Mena (2014) <doi:10.1214/14-BA878> and Corradin, Danese and Ongaro (2022) <doi:10.1016/j.ijar.2021.12.019>. It also clusters different types of time dependent data with common change points, see "Model-based clustering of time-dependent observations with common structural changes" (Corradin,Danese,KhudaBukhsh and Ongaro, 2024) <doi:10.48550/arXiv.2410.09552> for details.
Author: Luca Danese [aut, cre, cph] , Riccardo Corradin [aut], Andrea Ongaro [aut]
Maintainer: Luca Danese <l.danese1@campus.unimib.it>

Diff between BayesChange versions 2.1.0 dated 2025-04-28 and 2.1.1 dated 2025-10-17

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Package resemble updated to version 2.2.5 with previous version 2.2.4 dated 2025-05-19

Title: Memory-Based Learning in Spectral Chemometrics
Description: Functions for dissimilarity analysis and memory-based learning (MBL, a.k.a local modeling) in complex spectral data sets. Most of these functions are based on the methods presented in Ramirez-Lopez et al. (2013) <doi:10.1016/j.geoderma.2012.12.014>.
Author: Leonardo Ramirez-Lopez [aut, cre] , Antoine Stevens [aut, ctb] , Claudio Orellano [ctb], Raphael Viscarra Rossel [ctb] , Alex Wadoux [ctb]
Maintainer: Leonardo Ramirez-Lopez <ramirez.lopez.leo@gmail.com>

Diff between resemble versions 2.2.4 dated 2025-05-19 and 2.2.5 dated 2025-10-17

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Package polymapR updated to version 1.1.7 with previous version 1.1.6 dated 2024-05-31

Title: Linkage Analysis in Outcrossing Polyploids
Description: Creation of linkage maps in polyploid species from marker dosage scores of an F1 cross from two heterozygous parents. Currently works for outcrossing diploid, autotriploid, autotetraploid and autohexaploid species, as well as segmental allotetraploids. Methods are described in a manuscript of Bourke et al. (2018) <doi:10.1093/bioinformatics/bty371>. Since version 1.1.0, both discrete and probabilistic genotypes are acceptable input; for more details on the latter see Liao et al. (2021) <doi:10.1007/s00122-021-03834-x>.
Author: Peter Bourke [aut, cre], Geert van Geest [aut], Roeland Voorrips [ctb], Yanlin Liao [ctb]
Maintainer: Peter Bourke <pbourkey@gmail.com>

Diff between polymapR versions 1.1.6 dated 2024-05-31 and 1.1.7 dated 2025-10-17

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Package eudract updated to version 1.0.5 with previous version 1.0.4 dated 2025-03-20

Title: Creates Safety Results Summary in XML to Upload to EudraCT, or ClinicalTrials.gov
Description: The remit of the European Clinical Trials Data Base (EudraCT <https://eudract.ema.europa.eu/> ), or ClinicalTrials.gov <https://clinicaltrials.gov/>, is to provide open access to summaries of all registered clinical trial results; thus aiming to prevent non-reporting of negative results and provide open-access to results to inform future research. The amount of information required and the format of the results, however, imposes a large extra workload at the end of studies on clinical trial units. In particular, the adverse-event-reporting component requires entering: each unique combination of treatment group and safety event; for every such event above, a further 4 pieces of information (body system, number of occurrences, number of subjects, number exposed) for non-serious events, plus an extra three pieces of data for serious adverse events (numbers of causally related events, deaths, causally related deaths). This package prepares the required statistics needed by Eudr [...truncated...]
Author: Simon Bond [cre], Beatrice Pantaleo [aut]
Maintainer: Simon Bond <simon.bond7@nhs.net>

Diff between eudract versions 1.0.4 dated 2025-03-20 and 1.0.5 dated 2025-10-17

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Package brfinance updated to version 0.2.1 with previous version 0.2.0 dated 2025-10-16

Title: Simplified Access to Brazilian Financial and Macroeconomic Data
Description: It offers simplified access to Brazilian macroeconomic and financial indicators selected from official sources, such as the 'IBGE' (Brazilian Institute of Geography and Statistics) via the 'SIDRA' API and the 'Central Bank of Brazil' via the 'SGS' API. It allows users to quickly retrieve and visualize data series such as the unemployment rate and the Selic interest rate. This package was developed for data access and visualization purposes, without generating forecasts or statistical results. For more information, see the official APIs: <https://sidra.ibge.gov.br/> and <https://dadosabertos.bcb.gov.br/dataset/>.
Author: Joao Paulo dos Santos Pereira Barbosa [aut, cre]
Maintainer: Joao Paulo dos Santos Pereira Barbosa <joao.31582129@gmail.com>

Diff between brfinance versions 0.2.0 dated 2025-10-16 and 0.2.1 dated 2025-10-17

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Package ProjectManagement updated to version 2.1.4 with previous version 2.0.2 dated 2024-10-24

Title: Management of Deterministic and Stochastic Projects
Description: Management problems of deterministic and stochastic projects. It obtains the duration of a project and the appropriate slack for each activity in a deterministic context. In addition it obtains a schedule of activities' time (Castro, Gómez & Tejada (2007) <doi:10.1016/j.orl.2007.01.003>). It also allows the management of resources. When the project is done, and the actual duration for each activity is known, then it can know how long the project is delayed and make a fair delivery of the delay between each activity (Bergantiños, Valencia-Toledo & Vidal-Puga (2018) <doi:10.1016/j.dam.2017.08.012>). In a stochastic context it can estimate the average duration of the project and plot the density of this duration, as well as, the density of the early and last times of the chosen activities. As in the deterministic case, it can make a distribution of the delay generated by observing the project already carried out.
Author: Juan Carlos Goncalves Dosantos [aut, cre], Ignacio Garcia Jurado [aut], Julian Costa Bouzas [aut]
Maintainer: Juan Carlos Goncalves Dosantos <juan.carlos.goncalves@udc.es>

Diff between ProjectManagement versions 2.0.2 dated 2024-10-24 and 2.1.4 dated 2025-10-17

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Package tune updated to version 2.0.1 with previous version 2.0.0 dated 2025-09-01

Title: Tidy Tuning Tools
Description: The ability to tune models is important. 'tune' contains functions and classes to be used in conjunction with other 'tidymodels' packages for finding reasonable values of hyper-parameters in models, pre-processing methods, and post-processing steps.
Author: Max Kuhn [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

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Package qualpalr updated to version 1.0.1 with previous version 1.0.0 dated 2025-08-18

Title: Automatic Generation of Qualitative Color Palettes
Description: Automatic generation of maximally distinct qualitative color palettes, optionally tailored to color deficiency. A list of colors or a subspace of a color space is used as input and then projected to the DIN99d color space, where colors that are maximally distinct are chosen algorithmically.
Author: Johan Larsson [aut, cre]
Maintainer: Johan Larsson <jolars@posteo.com>

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Package diseasystore updated to version 0.3.2 with previous version 0.3.1 dated 2025-02-28

Title: Feature Stores for the 'diseasy' Framework
Description: Simple feature stores and tools for creating personalised feature stores. 'diseasystore' powers feature stores which can automatically link and aggregate features to a given stratification level. These feature stores are automatically time-versioned (powered by the 'SCDB' package) and allows you to easily and dynamically compute features as part of your continuous integration.
Author: Rasmus Skytte Randloev [aut, cre] , Kaare Graesboell [rev] , Kasper Schou Telkamp [rev] , Lasse Engbo Christiansen [rev] , Marcus Munch Gruenewald [rev] , Sofia Myrup Otero [rev], Statens Serum Institut, SSI [cph, fnd]
Maintainer: Rasmus Skytte Randloev <rske@ssi.dk>

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Package CovCorTest updated to version 1.1.0 with previous version 1.0.0 dated 2025-06-06

Title: Statistical Tests for Covariance and Correlation Matrices and their Structures
Description: A compilation of tests for hypotheses regarding covariance and correlation matrices for one or more groups. The hypothesis can be specified through a corresponding hypothesis matrix and a vector or by choosing one of the basic hypotheses, while for the structure test, only the latter works. Thereby Monte-Carlo and Bootstrap-techniques are used, and the respective method must be chosen, and the functions provide p-values and mostly also estimators of calculated covariance matrices of test statistics. For more details on the methodology, see Sattler et al. (2022) <doi:10.1016/j.jspi.2021.12.001>, Sattler and Pauly (2024) <doi:10.1007/s11749-023-00906-6>, and Sattler and Dobler (2025) <doi:10.48550/arXiv.2310.11799>.
Author: Paavo Sattler [aut] , Svenja Jedhoff [cre, aut] , Markus Pauly [ctb] , Arne C Bathke [ctb] , Dennis Dobler [ctb]
Maintainer: Svenja Jedhoff <jedhoff@statistik.tu-dortmund.de>

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Package timeDate updated to version 4051.111 with previous version 4041.110 dated 2024-09-22

Title: Rmetrics - Chronological and Calendar Objects
Description: The 'timeDate' class fulfils the conventions of the ISO 8601 standard as well as of the ANSI C and POSIX standards. Beyond these standards it provides the "Financial Center" concept which allows to handle data records collected in different time zones and mix them up to have always the proper time stamps with respect to your personal financial center, or alternatively to the GMT reference time. It can thus also handle time stamps from historical data records from the same time zone, even if the financial centers changed day light saving times at different calendar dates.
Author: Diethelm Wuertz [aut] , Tobias Setz [aut], Yohan Chalabi [aut], Martin Maechler [ctb] , Joe W. Byers [ctb], Georgi N. Boshnakov [cre, aut]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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Package tcpl updated to version 3.3.1 with previous version 3.3.0 dated 2025-05-05

Title: ToxCast Data Analysis Pipeline
Description: The ToxCast Data Analysis Pipeline ('tcpl') is an R package that manages, curve-fits, plots, and stores ToxCast data to populate its linked MySQL database, 'invitrodb'. The package was developed for the chemical screening data curated by the US EPA's Toxicity Forecaster (ToxCast) program, but 'tcpl' can be used to support diverse chemical screening efforts.
Author: Dayne L Filer [aut], Jason Brown [ctb] , Madison Feshuk [cre] , Carter Thunes [ctb], Sarah E Davidson-Fritz [ctb] , Kelly Carstens [ctb] , Elizabeth Gilson [ctb], Lindsay Knupp [ctb], Lori Kolaczkowski [ctb], Ashley Ko [ctb], Zhihui Zhao [ctb], Kurt [...truncated...]
Maintainer: Madison Feshuk <feshuk.madison@epa.gov>

Diff between tcpl versions 3.3.0 dated 2025-05-05 and 3.3.1 dated 2025-10-17

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Package sbw updated to version 1.2 with previous version 1.1.9 dated 2024-07-27

Title: Stable Balancing Weights for Causal Inference and Missing Data
Description: Implements the Stable Balancing Weights by Zubizarreta (2015) <DOI:10.1080/01621459.2015.1023805>. These are the weights of minimum variance that approximately balance the empirical distribution of the observed covariates. For an overview, see Chattopadhyay, Hase and Zubizarreta (2020) <DOI:10.1002/sim.8659>. To solve the optimization problem in 'sbw', the default solver is 'quadprog', which is readily available through CRAN. The solver 'osqp' is also posted on CRAN. To enhance the performance of 'sbw', users are encouraged to install other solvers such as 'gurobi' and 'Rmosek', which require special installation. For the installation of gurobi and pogs, please follow the instructions at <https://docs.gurobi.com/projects/optimizer/en/current/reference/r.html> and <http://foges.github.io/pogs/stp/r>.
Author: Jose R. Zubizarreta [aut, cre], Yige Li [aut], Kwangho Kim [aut], Amine Allouah [ctb], Noah Greifer [ctb]
Maintainer: Jose R. Zubizarreta <zubizarreta@hcp.med.harvard.edu>

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Package LLMTranslate updated to version 0.2.0 with previous version 0.1.3 dated 2025-09-05

Title: 'shiny' App for TRAPD/ISPOR Survey Translation with LLMs
Description: A 'shiny' application to automate forward and back survey translation with optional reconciliation using large language models (LLMs). Supports OpenAI (GPT), Google Gemini, and Anthropic Claude models. It follows the TRAPD (Translation, Review, Adjudication, Pretesting, Documentation) framework and ISPOR (International Society for Pharmacoeconomics and Outcomes Research) recommendations. See Harkness et al. (2010) <doi:10.1002/9780470609927.ch7> and Wild et al. (2005) <doi:10.1111/j.1524-4733.2005.04054.x>.
Author: Jonas R. Kunst [aut, cre]
Maintainer: Jonas R. Kunst <jonas.r.kunst@bi.no>

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Package agriutilities readmission to version 1.2.2 with previous version 1.2.1 dated 2025-01-17

Title: Utilities for Data Analysis in Agriculture
Description: Utilities designed to make the analysis of field trials easier and more accessible for everyone working in plant breeding. It provides a simple and intuitive interface for conducting single and multi-environmental trial analysis, with minimal coding required. Whether you're a beginner or an experienced user, 'agriutilities' will help you quickly and easily carry out complex analyses with confidence. With built-in functions for fitting Linear Mixed Models, 'agriutilities' is the ideal choice for anyone who wants to save time and focus on interpreting their results. Some of the functions require the R package 'asreml' for the 'ASReml' software, this can be obtained upon purchase from 'VSN' international <https://vsni.co.uk/software/asreml-r/>.
Author: Johan Aparicio [aut, cre], Alexia Bornhorst [aut], The Alliance of Bioversity International and CIAT [cph]
Maintainer: Johan Aparicio <johanstevenapa@gmail.com>

This is a re-admission after prior archival of version 1.2.1 dated 2025-01-17

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Package lqmix updated to version 1.2 with previous version 1.1 dated 2025-03-21

Title: Linear Quantile Mixture Models
Description: Estimate linear quantile mixtures based on Time-Constant (TC) and/or Time-Varying (TV), discrete, random coefficients.
Author: Maria Francesca Marino [aut, cre], Marco Alfo' [aut], Nicola Salvati [aut], Maria Giovanna Ranalli [aut]
Maintainer: Maria Francesca Marino <mariafrancesca.marino@unifi.it>

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 man/print.lqr.Rd                  |    4 
 man/print.search_lqmix.Rd         |    4 
 man/print.summary.lqmix.Rd        |    4 
 man/print.summary.lqr.Rd          |    4 
 man/print.summary.search_lqmix.Rd |    4 
 man/residuals.lqmix.Rd            |only
 man/residuals.lqr.Rd              |only
 man/residuals.search_lqmix.Rd     |only
 man/search_lqmix.Rd               |   42 ++--
 man/summary.lqmix.Rd              |   10 
 man/summary.lqr.Rd                |    4 
 man/summary.search_lqmix.Rd       |   26 +-
 man/varAL.Rd                      |   17 +
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 man/vcov.lqr.Rd                   |only
 man/vcov.search_lqmix.Rd          |only
 tests                             |only
 86 files changed, 1400 insertions(+), 1456 deletions(-)

More information about lqmix at CRAN
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Package readMzXmlData updated to version 2.8.4 with previous version 2.8.3 dated 2023-08-19

Title: Reads Mass Spectrometry Data in mzXML Format
Description: Functions for reading mass spectrometry data in mzXML format.
Author: Sebastian Gibb [aut, cre]
Maintainer: Sebastian Gibb <mail@sebastiangibb.de>

Diff between readMzXmlData versions 2.8.3 dated 2023-08-19 and 2.8.4 dated 2025-10-17

 DESCRIPTION                  |   15 ++++++++-------
 MD5                          |   16 ++++++++--------
 NEWS                         |    4 ++++
 R/package.R                  |    3 +--
 R/readMzXmlDir-functions.R   |    2 --
 R/readMzXmlFile-functions.R  |    2 --
 man/readMzXmlData-package.Rd |    1 +
 man/readMzXmlDir.Rd          |    2 --
 man/readMzXmlFile.Rd         |    2 --
 9 files changed, 22 insertions(+), 25 deletions(-)

More information about readMzXmlData at CRAN
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Package spinebil updated to version 1.0.5 with previous version 1.0.4 dated 2025-09-17

Title: Investigating New Projection Pursuit Index Functions
Description: Projection pursuit is used to find interesting low-dimensional projections of high-dimensional data by optimizing an index over all possible projections. The 'spinebil' package contains methods to evaluate the performance of projection pursuit index functions using tour methods. A paper describing the methods can be found at <doi:10.1007/s00180-020-00954-8>.
Author: Ursula Laa [aut] , Dianne Cook [aut] , Tina Rashid Jafari [aut, cre]
Maintainer: Tina Rashid Jafari <tina.rashidjafari@gmail.com>

Diff between spinebil versions 1.0.4 dated 2025-09-17 and 1.0.5 dated 2025-10-17

 DESCRIPTION                     |    7 ++-
 MD5                             |   16 ++++----
 NEWS.md                         |    5 ++
 R/index_mean.R                  |    5 --
 R/index_scale.R                 |    3 +
 R/sample_size_effect.R          |    2 -
 inst/doc/more_descriptives.html |   39 ++-------------------
 inst/doc/ppi_diagnostics.html   |   73 ++++++++++++----------------------------
 inst/doc/spinebil.html          |   41 +++-------------------
 9 files changed, 54 insertions(+), 137 deletions(-)

More information about spinebil at CRAN
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Package neurobase updated to version 1.34.0 with previous version 1.33.0 dated 2025-07-23

Title: 'Neuroconductor' Base Package with Helper Functions for 'nifti' Objects
Description: Base package for 'Neuroconductor', which includes many helper functions that interact with objects of class 'nifti', implemented by package 'oro.nifti', for reading/writing and also other manipulation functions.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between neurobase versions 1.33.0 dated 2025-07-23 and 1.34.0 dated 2025-10-17

 DESCRIPTION                |    6 +++---
 MD5                        |   22 +++++++++++-----------
 NEWS.md                    |    5 +++++
 R/flip_img.R               |    2 +-
 R/ortho2.R                 |   42 ++++++++++++++++++++++++++++++++++--------
 R/overlay2.R               |   12 ++++++++----
 inst/doc/neurobase.html    |    4 ++--
 inst/doc/nifti_basics.html |    6 +++---
 inst/doc/simple_io.html    |    2 +-
 man/flip_img.Rd            |    2 +-
 man/multi_overlay.Rd       |    5 +++--
 man/ortho2.Rd              |    8 ++++++++
 12 files changed, 80 insertions(+), 36 deletions(-)

More information about neurobase at CRAN
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