Tue, 02 Sep 2025

Package simEd updated to version 2.0.2 with previous version 2.0.1 dated 2023-11-26

Title: Simulation Education
Description: Contains various functions to be used for simulation education, including simple Monte Carlo simulation functions, queueing simulation functions, variate generation functions capable of producing independent streams and antithetic variates, functions for illustrating random variate generation for various discrete and continuous distributions, and functions to compute time-persistent statistics. Also contains functions for visualizing: event-driven details of a single-server queue model; a Lehmer random number generator; variate generation via acceptance-rejection; and of generating a non-homogeneous Poisson process via thinning. Also contains two queueing data sets (one fabricated, one real-world) to facilitate input modeling. More details on the use of these functions can be found in Lawson and Leemis (2015) <doi:10.1109/WSC.2017.8248124>, in Kudlay, Lawson, and Leemis (2020) <doi:10.1109/WSC48552.2020.9384010>, and in Lawson and Leemis (2021) <doi:10.1109/WSC52266.2 [...truncated...]
Author: Barry Lawson [aut, cre, cph], Larry Leemis [aut], Vadim Kudlay [aut]
Maintainer: Barry Lawson <blawson@bates.edu>

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Package NetOrigin updated to version 1.1-7 with previous version 1.1-6 dated 2023-09-04

Title: Origin Estimation for Propagation Processes on Complex Networks
Description: Performs network-based source estimation. Different approaches are available: effective distance median, recursive backtracking, and centrality-based source estimation. Additionally, we provide public transportation network data as well as methods for data preparation, source estimation performance analysis and visualization.
Author: Juliane Manitz [aut, cre], Jonas Harbering [ctb], Jun Li [ctb]
Maintainer: Juliane Manitz <r@manitz.org>

Diff between NetOrigin versions 1.1-6 dated 2023-09-04 and 1.1-7 dated 2025-09-02

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Package brolgar updated to version 1.0.2 with previous version 1.0.1 dated 2024-05-10

Title: Browse Over Longitudinal Data Graphically and Analytically in R
Description: Provides a framework of tools to summarise, visualise, and explore longitudinal data. It builds upon the tidy time series data frames used in the 'tsibble' package, and is designed to integrate within the 'tidyverse', and 'tidyverts' (for time series) ecosystems. The methods implemented include calculating features for understanding longitudinal data, including calculating summary statistics such as quantiles, medians, and numeric ranges, sampling individual series, identifying individual series representative of a group, and extending the facet system in 'ggplot2' to facilitate exploration of samples of data. These methods are fully described in the paper "brolgar: An R package to Browse Over Longitudinal Data Graphically and Analytically in R", Nicholas Tierney, Dianne Cook, Tania Prvan (2020) <doi:10.32614/RJ-2022-023>.
Author: Nicholas Tierney [aut, cre] , Di Cook [aut] , Tania Prvan [aut], Stuart Lee [ctb], Earo Wang [ctb]
Maintainer: Nicholas Tierney <nicholas.tierney@gmail.com>

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Package virustotal updated to version 0.3.0 with previous version 0.2.2 dated 2021-11-04

Title: R Client for the VirusTotal API
Description: Use VirusTotal, a Google service that analyzes files and URLs for viruses, worms, trojans etc., provides category of the content hosted by a domain from a variety of prominent services, provides passive DNS information, among other things. See <https://www.virustotal.com> for more information.
Author: Gaurav Sood [aut, cre]
Maintainer: Gaurav Sood <gsood07@gmail.com>

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Package stR updated to version 0.7.1 with previous version 0.7 dated 2024-07-28

Title: Seasonal Trend Decomposition Using Regression
Description: Methods for decomposing seasonal data: STR (a Seasonal-Trend time series decomposition procedure based on Regression) and Robust STR. In some ways, STR is similar to Ridge Regression and Robust STR can be related to LASSO. They allow for multiple seasonal components, multiple linear covariates with constant, flexible and seasonal influence. Seasonal patterns (for both seasonal components and seasonal covariates) can be fractional and flexible over time; moreover they can be either strictly periodic or have a more complex topology. The methods provide confidence intervals for the estimated components. The methods can also be used for forecasting.
Author: Alexander Dokumentov [aut] , Rob Hyndman [aut, cre]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

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Package survminer updated to version 0.5.1 with previous version 0.5.0 dated 2024-10-30

Title: Drawing Survival Curves using 'ggplot2'
Description: Contains the function 'ggsurvplot()' for drawing easily beautiful and 'ready-to-publish' survival curves with the 'number at risk' table and 'censoring count plot'. Other functions are also available to plot adjusted curves for `Cox` model and to visually examine 'Cox' model assumptions.
Author: Alboukadel Kassambara [aut, cre], Marcin Kosinski [aut], Przemyslaw Biecek [aut], Scheipl Fabian [ctb]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>

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Package doRedis updated to version 3.0.3 with previous version 3.0.2 dated 2023-05-02

Title: 'Foreach' Parallel Adapter Using the 'Redis' Database
Description: Create and manage fault-tolerant task queues for the 'foreach' package using the 'Redis' key/value database.
Author: B. W. Lewis [aut, cre]
Maintainer: B. W. Lewis <blewis@illposed.net>

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Package divseg updated to version 0.1.0 with previous version 0.0.5 dated 2022-12-17

Title: Calculate Diversity and Segregation Indices
Description: Implements common measures of diversity and spatial segregation. This package has tools to compute the majority of measures are reviewed in Massey and Denton (1988) <doi:10.2307/2579183>. Multiple common measures of within-geography diversity are implemented as well. All functions operate on data frames with a 'tidyselect' based workflow.
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>

Diff between divseg versions 0.0.5 dated 2022-12-17 and 0.1.0 dated 2025-09-02

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More information about divseg at CRAN
Permanent link

Package xpose updated to version 0.4.20 with previous version 0.4.19 dated 2025-01-07

Title: Diagnostics for Pharmacometric Models
Description: Diagnostics for non-linear mixed-effects (population) models from 'NONMEM' <https://www.iconplc.com/solutions/technologies/nonmem/>. 'xpose' facilitates data import, creation of numerical run summary and provide 'ggplot2'-based graphics for data exploration and model diagnostics.
Author: Benjamin Guiastrennec [aut, cre, cph], Andrew C. Hooker [aut, cph], Sebastian Ueckert [aut, cph], Mike K. Smith [ctb], Mats O. Karlsson [aut, cph]
Maintainer: Benjamin Guiastrennec <guiastrennec@gmail.com>

Diff between xpose versions 0.4.19 dated 2025-01-07 and 0.4.20 dated 2025-09-02

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Package NetLogoR updated to version 1.0.6 with previous version 1.0.5 dated 2024-01-08

Title: Build and Run Spatially Explicit Agent-Based Models
Description: Build and run spatially explicit agent-based models using only the R platform. 'NetLogoR' follows the same framework as the 'NetLogo' software (Wilensky (1999) <https://www.netlogo.org>) and is a translation in R of the structure and functions of 'NetLogo'. 'NetLogoR' provides new R classes to define model agents and functions to implement spatially explicit agent-based models in the R environment. This package allows benefiting of the fast and easy coding phase from the highly developed 'NetLogo' framework, coupled with the versatility, power and massive resources of the R software. Examples of two models from the NetLogo software repository (Ants <https://ccl.northwestern.edu/netlogo/models/Ants>) and Wolf-Sheep-Predation (<https://ccl.northwestern.edu/netlogo/models/WolfSheepPredation>), and a third, Butterfly, from Railsback and Grimm (2012) <https://www.railsback-grimm-abm-book.com/>, all written using 'NetLogoR' are available. The 'NetLogo' code of the ori [...truncated...]
Author: Sarah Bauduin [aut] , Eliot J B McIntire [aut, cre] , Alex M Chubaty [aut] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

Diff between NetLogoR versions 1.0.5 dated 2024-01-08 and 1.0.6 dated 2025-09-02

 DESCRIPTION                                                                  |   56 +-
 MD5                                                                          |  214 ++++-----
 NAMESPACE                                                                    |    1 
 NEWS.md                                                                      |   31 -
 R/NetLogoR-package.R                                                         |    5 
 R/agentMatrix-Class-methods.R                                                |   41 -
 R/agentset-functions.R                                                       |   68 +-
 R/patch-functions.R                                                          |   54 +-
 R/turtle-functions.R                                                         |  174 +++----
 R/world-functions.R                                                          |   28 -
 R/worldNLR-classes-methods.R                                                 |    4 
 README.md                                                                    |   88 +--
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 inst/WORDLIST                                                                |   24 -
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 inst/doc/NLR-Dictionary.html                                                 |   31 -
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 man/NLall.Rd                                                                 |    4 
 man/NLany.Rd                                                                 |    4 
 man/NLcount.Rd                                                               |    4 
 man/NLdist.Rd                                                                |    6 
 man/NLset.Rd                                                                 |    4 
 man/NLwith.Rd                                                                |    4 
 man/NetLogoR-package.Rd                                                      |    9 
 man/agentMatrix-show-methods.Rd                                              |   11 
 man/agentMatrix.Rd                                                           |    2 
 man/bbox.Rd                                                                  |    9 
 man/bk.Rd                                                                    |    6 
 man/canMove.Rd                                                               |    4 
 man/clearPatches.Rd                                                          |    4 
 man/coordinates.Rd                                                           |    8 
 man/createOTurtles.Rd                                                        |    4 
 man/createTurtles.Rd                                                         |    4 
 man/createWorld.Rd                                                           |    2 
 man/die.Rd                                                                   |    4 
 man/diffuse.Rd                                                               |    6 
 man/downhill.Rd                                                              |    4 
 man/dx.Rd                                                                    |    4 
 man/dy.Rd                                                                    |    4 
 man/extent.Rd                                                                |    4 
 man/face.Rd                                                                  |    6 
 man/fd.Rd                                                                    |    6 
 man/hatch.Rd                                                                 |    4 
 man/home.Rd                                                                  |    4 
 man/inCone.Rd                                                                |    4 
 man/inRadius.Rd                                                              |    4 
 man/inspect.Rd                                                               |    4 
 man/isNLclass.Rd                                                             |    4 
 man/layoutCircle.Rd                                                          |    4 
 man/left.Rd                                                                  |    4 
 man/maxNof.Rd                                                                |    4 
 man/maxOneOf.Rd                                                              |    4 
 man/maxPxcor.Rd                                                              |    4 
 man/maxPycor.Rd                                                              |    4 
 man/minNof.Rd                                                                |    4 
 man/minOneOf.Rd                                                              |    4 
 man/minPxcor.Rd                                                              |    4 
 man/minPycor.Rd                                                              |    4 
 man/moveTo.Rd                                                                |    4 
 man/nOf.Rd                                                                   |    4 
 man/neighbors.Rd                                                             |    4 
 man/noPatches.Rd                                                             |    4 
 man/noTurtles.Rd                                                             |    4 
 man/of.Rd                                                                    |    4 
 man/oneOf.Rd                                                                 |    4 
 man/other.Rd                                                                 |    4 
 man/pExist.Rd                                                                |    4 
 man/patch.Rd                                                                 |    4 
 man/patchAhead.Rd                                                            |    4 
 man/patchAt.Rd                                                               |    6 
 man/patchDistDir.Rd                                                          |    4 
 man/patchHere.Rd                                                             |    4 
 man/patchLeft.Rd                                                             |    4 
 man/patchRight.Rd                                                            |    4 
 man/patchSet.Rd                                                              |    4 
 man/patches.Rd                                                               |    4 
 man/randomPxcor.Rd                                                           |    4 
 man/randomPycor.Rd                                                           |    4 
 man/randomXcor.Rd                                                            |    4 
 man/randomYcor.Rd                                                            |    4 
 man/right.Rd                                                                 |    4 
 man/setXY.Rd                                                                 |    4 
 man/sortOn.Rd                                                                |    4 
 man/sprout.Rd                                                                |    4 
 man/subHeadings.Rd                                                           |    4 
 man/tExist.Rd                                                                |    4 
 man/towards.Rd                                                               |    6 
 man/turtle.Rd                                                                |    4 
 man/turtleSet.Rd                                                             |    4 
 man/turtlesAt.Rd                                                             |    6 
 man/turtlesOn.Rd                                                             |    4 
 man/turtlesOwn.Rd                                                            |    8 
 man/updateList.Rd                                                            |    6 
 man/uphill.Rd                                                                |    4 
 man/withMax.Rd                                                               |    4 
 man/withMin.Rd                                                               |    4 
 man/worldHeight.Rd                                                           |    4 
 man/worldMatrix-class.Rd                                                     |    2 
 man/worldWidth.Rd                                                            |    4 
 tests/testthat/test-agentMatrix.R                                            |    4 
 tests/testthat/test-turtle-functions.R                                       |   36 +
 vignettes/NLR-Dictionary.Rmd                                                 |    4 
 vignettes/ProgrammingGuide.Rmd                                               |    2 
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More information about NetLogoR at CRAN
Permanent link

Package mlbplotR updated to version 1.2.0 with previous version 1.1.0 dated 2023-06-20

Title: Create 'ggplot2' and 'gt' Visuals with Major League Baseball Logos
Description: Tools to help visualize Major League Baseball analysis in 'ggplot2' and 'gt'. You provide team/player information and 'mlbplotR' will transform that information into team colors, logos, or player headshots for graphics.
Author: Sebastian Carl [aut], Camden Kay [aut, cre, cph]
Maintainer: Camden Kay <camden.kay23@gmail.com>

Diff between mlbplotR versions 1.1.0 dated 2023-06-20 and 1.2.0 dated 2025-09-02

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More information about mlbplotR at CRAN
Permanent link

Package FFTrees updated to version 2.1.0 with previous version 2.0.0 dated 2023-06-05

Title: Generate, Visualise, and Evaluate Fast-and-Frugal Decision Trees
Description: Create, visualize, and test fast-and-frugal decision trees (FFTs) using the algorithms and methods described by Phillips, Neth, Woike & Gaissmaier (2017), <doi:10.1017/S1930297500006239>. FFTs are simple and transparent decision trees for solving binary classification problems. FFTs can be preferable to more complex algorithms because they require very little information, are easy to understand and communicate, and are robust against overfitting.
Author: Nathaniel Phillips [aut] , Hansjoerg Neth [aut, cre] , Jan Woike [aut] , Wolfgang Gaissmaier [aut]
Maintainer: Hansjoerg Neth <h.neth@uni.kn>

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Package AssocBin updated to version 1.1-2 with previous version 1.1-1 dated 2025-08-29

Title: Measuring Association with Recursive Binning
Description: An iterative implementation of a recursive binary partitioning algorithm to measure pairwise dependence with a modular design that allows user specification of the splitting logic and stop criteria. Helper functions provide suggested versions of both and support visualization and the computation of summary statistics on final binnings. For a thorough discussion and demonstration of the algorithm, see Salahub and Oldford (2025) <doi:10.1002/sam.70042>.
Author: Chris Salahub [aut, cre] , Wayne Oldford [aut]
Maintainer: Chris Salahub <chris.salahub@uwaterloo.ca>

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Package vol2birdR updated to version 1.2.1 with previous version 1.2.0 dated 2025-09-02

Title: Vertical Profiles of Biological Signals in Weather Radar Data
Description: 'R' implementation of the 'vol2bird' software for generating vertical profiles of birds and other biological signals in weather radar data. See Dokter et al. (2011) <doi:10.1098/rsif.2010.0116> for a paper describing the methodology.
Author: Anders Henja [aut] , Adriaan M. Dokter [aut, cre] , Alexander Tedeschi [ctb] , Tsung-Yu Lin [ctb] , Subranshu Maji [ctb] , Daniel Sheldon [ctb] , Bart Kranstauber [ctb] , Jurriaan H. Spaaks [ctb] , Lourens Veen [ctb] , Iwan Holleman [ctb] , Hidde Lei [...truncated...]
Maintainer: Adriaan M. Dokter <vol2birdr@cornell.edu>

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Package unicol updated to version 0.4.0 with previous version 0.3.0 dated 2024-05-01

Title: The Colors of your University
Description: Most universities use specific color combinations to express their unique brand identity. The 'unicol' package provides the colors and color palettes of various universities for easy plotting and printing in R. We collect and provide a diverse range of color palettes for creating scientific visualizations.
Author: Hansjoerg Neth [aut, cre] , Constantin Basler [ctb], Paula Bauer [ctb], Kaethe Bodenstein [ctb], Franziska Drechsel [ctb], Gina-Loretta Franz [ctb], Karolin Heiss [ctb], Julia Koenig [ctb], Isabelle Krist [ctb], Larissa Schwab [ctb], Alina Sohst [ctb [...truncated...]
Maintainer: Hansjoerg Neth <h.neth@uni.kn>

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 unicol-0.4.0/unicol/man/cmu_3.Rd                                          |   10 
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 unicol-0.4.0/unicol/man/columbia_2.Rd                                     |   10 
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 unicol-0.4.0/unicol/man/concordia_2.Rd                                    |   10 
 unicol-0.4.0/unicol/man/concordia_3.Rd                                    |   10 
 unicol-0.4.0/unicol/man/concordia_4.Rd                                    |   10 
 unicol-0.4.0/unicol/man/cornell_1.Rd                                      |   10 
 unicol-0.4.0/unicol/man/cornell_2.Rd                                      |   10 
 unicol-0.4.0/unicol/man/cornell_3_accent.Rd                               |   10 
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 unicol-0.4.0/unicol/man/dartmouth_3.Rd                                    |   12 
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 unicol-0.4.0/unicol/man/dundee_block.Rd                                   |   12 
 unicol-0.4.0/unicol/man/dundee_core.Rd                                    |   12 
 unicol-0.4.0/unicol/man/dundee_highlight.Rd                               |   12 
 unicol-0.4.0/unicol/man/edinburgh.Rd                                      |   10 
 unicol-0.4.0/unicol/man/eth_1.Rd                                          |   10 
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 unicol-0.4.0/unicol/man/eth_3.Rd                                          |   10 
 unicol-0.4.0/unicol/man/example.Rd                                        |   10 
 unicol-0.4.0/unicol/man/figures/README-unicol-pals-example-1-figure-1.png |binary
 unicol-0.4.0/unicol/man/fu_0_2023.Rd                                      |only
 unicol-0.4.0/unicol/man/fu_1.Rd                                           |   41 
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 unicol-0.4.0/unicol/man/galway_1.Rd                                       |   10 
 unicol-0.4.0/unicol/man/galway_2.Rd                                       |   10 
 unicol-0.4.0/unicol/man/glasgow_1.Rd                                      |   10 
 unicol-0.4.0/unicol/man/glasgow_2.Rd                                      |   10 
 unicol-0.4.0/unicol/man/gothenburg.Rd                                     |   12 
 unicol-0.4.0/unicol/man/groningen_1.Rd                                    |   10 
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 unicol-0.4.0/unicol/man/harvard_3.Rd                                      |   10 
 unicol-0.4.0/unicol/man/helsinki_1.Rd                                     |   14 
 unicol-0.4.0/unicol/man/helsinki_2.Rd                                     |   14 
 unicol-0.4.0/unicol/man/helsinki_3.Rd                                     |   14 
 unicol-0.4.0/unicol/man/hu_1.Rd                                           |   16 
 unicol-0.4.0/unicol/man/hu_1_2022.Rd                                      |   18 
 unicol-0.4.0/unicol/man/hu_1_digital.Rd                                   |   16 
 unicol-0.4.0/unicol/man/hu_2.Rd                                           |   16 
 unicol-0.4.0/unicol/man/hu_2_2022.Rd                                      |   18 
 unicol-0.4.0/unicol/man/hu_3_accent.Rd                                    |   16 
 unicol-0.4.0/unicol/man/jhu_0.Rd                                          |   10 
 unicol-0.4.0/unicol/man/jhu_1.Rd                                          |   10 
 unicol-0.4.0/unicol/man/jhu_2.Rd                                          |   10 
 unicol-0.4.0/unicol/man/jhu_3_accent.Rd                                   |   10 
 unicol-0.4.0/unicol/man/jhu_4_gray.Rd                                     |   10 
 unicol-0.4.0/unicol/man/ku_1.Rd                                           |   10 
 unicol-0.4.0/unicol/man/ku_2.Rd                                           |   10 
 unicol-0.4.0/unicol/man/lancaster_1.Rd                                    |   10 
 unicol-0.4.0/unicol/man/lancaster_2.Rd                                    |   10 
 unicol-0.4.0/unicol/man/laval.Rd                                          |   10 
 unicol-0.4.0/unicol/man/limerick_1.Rd                                     |   10 
 unicol-0.4.0/unicol/man/limerick_2.Rd                                     |   10 
 unicol-0.4.0/unicol/man/lmu_1.Rd                                          |   16 
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 unicol-0.4.0/unicol/man/minnesotatwin_2.Rd                                |   12 
 unicol-0.4.0/unicol/man/mit.Rd                                            |   10 
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 unicol-0.4.0/unicol/man/mq_2.Rd                                           |   12 
 unicol-0.4.0/unicol/man/msu.Rd                                            |   10 
 unicol-0.4.0/unicol/man/mun_1.Rd                                          |   10 
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 unicol-0.4.0/unicol/man/notredame_2.Rd                                    |   10 
 unicol-0.4.0/unicol/man/nottingham_1.Rd                                   |   10 
 unicol-0.4.0/unicol/man/nottingham_2.Rd                                   |   10 
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 unicol-0.4.0/unicol/man/nyu_neutral.Rd                                    |   10 
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 unicol-0.4.0/unicol/man/ohio_uni_2.Rd                                     |   10 
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 unicol-0.4.0/unicol/man/stirling_3.Rd                                     |   14 
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 unicol-0.4.0/unicol/man/stockholm_2.Rd                                    |   10 
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 unicol-0.4.0/unicol/man/ucalgary_2.Rd                                     |   10 
 unicol-0.4.0/unicol/man/ucalgary_accent.Rd                                |   10 
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 unicol-0.4.0/unicol/man/ucla_1.Rd                                         |   10 
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 unicol-0.4.0/unicol/man/uflorida_3.Rd                                     |   10 
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 unicol-0.4.0/unicol/man/umass_2.Rd                                        |   10 
 unicol-0.4.0/unicol/man/umass_neutrals.Rd                                 |   10 
 unicol-0.4.0/unicol/man/uni_bonn_1.Rd                                     |   18 
 unicol-0.4.0/unicol/man/uni_bonn_2.Rd                                     |   18 
 unicol-0.4.0/unicol/man/uni_freiburg_0.Rd                                 |   18 
 unicol-0.4.0/unicol/man/uni_freiburg_1.Rd                                 |   18 
 unicol-0.4.0/unicol/man/uni_freiburg_2.Rd                                 |   18 
 unicol-0.4.0/unicol/man/uni_freiburg_blue.Rd                              |   16 
 unicol-0.4.0/unicol/man/uni_freiburg_br.Rd                                |   16 
 unicol-0.4.0/unicol/man/uni_freiburg_grey.Rd                              |   16 
 unicol-0.4.0/unicol/man/uni_freiburg_info.Rd                              |   16 
 unicol-0.4.0/unicol/man/uni_goettingen_1.Rd                               |   16 
 unicol-0.4.0/unicol/man/uni_goettingen_2.Rd                               |   16 
 unicol-0.4.0/unicol/man/uni_goettingen_3.Rd                               |   16 
 unicol-0.4.0/unicol/man/uni_halle.Rd                                      |   16 
 unicol-0.4.0/unicol/man/uni_hamburg_1.Rd                                  |   18 
 unicol-0.4.0/unicol/man/uni_hamburg_2.Rd                                  |   16 
 unicol-0.4.0/unicol/man/uni_heidelberg.Rd                                 |   16 
 unicol-0.4.0/unicol/man/uni_jena_1.Rd                                     |   20 
 unicol-0.4.0/unicol/man/uni_jena_2.Rd                                     |   18 
 unicol-0.4.0/unicol/man/uni_kassel.Rd                                     |   18 
 unicol-0.4.0/unicol/man/uni_kiel_1.Rd                                     |   18 
 unicol-0.4.0/unicol/man/uni_kiel_2.Rd                                     |   18 
 unicol-0.4.0/unicol/man/uni_koeln_1.Rd                                    |   16 
 unicol-0.4.0/unicol/man/uni_koeln_2.Rd                                    |   16 
 unicol-0.4.0/unicol/man/uni_konstanz_1.Rd                                 |   18 
 unicol-0.4.0/unicol/man/uni_konstanz_2.Rd                                 |   18 
 unicol-0.4.0/unicol/man/uni_lisbon.Rd                                     |   12 
 unicol-0.4.0/unicol/man/uni_magdeburg_1.Rd                                |   16 
 unicol-0.4.0/unicol/man/uni_magdeburg_2.Rd                                |   16 
 unicol-0.4.0/unicol/man/uni_magdeburg_3.Rd                                |   16 
 unicol-0.4.0/unicol/man/uni_manchester.Rd                                 |   10 
 unicol-0.4.0/unicol/man/uni_mannheim_1.Rd                                 |   18 
 unicol-0.4.0/unicol/man/uni_mannheim_2.Rd                                 |   16 
 unicol-0.4.0/unicol/man/uni_potsdam.Rd                                    |   18 
 unicol-0.4.0/unicol/man/uni_regensburg_1.Rd                               |   18 
 unicol-0.4.0/unicol/man/uni_regensburg_2.Rd                               |   18 
 unicol-0.4.0/unicol/man/uni_regensburg_3.Rd                               |   18 
 unicol-0.4.0/unicol/man/uni_stuttgart_1.Rd                                |   16 
 unicol-0.4.0/unicol/man/uni_stuttgart_print.Rd                            |   16 
 unicol-0.4.0/unicol/man/uni_ulm_1.Rd                                      |   18 
 unicol-0.4.0/unicol/man/uni_ulm_2.Rd                                      |   18 
 unicol-0.4.0/unicol/man/unicol_data.Rd                                    |   12 
 unicol-0.4.0/unicol/man/uottawa.Rd                                        |   10 
 unicol-0.4.0/unicol/man/upenn_1.Rd                                        |   10 
 unicol-0.4.0/unicol/man/upenn_2.Rd                                        |   10 
 unicol-0.4.0/unicol/man/uppsala.Rd                                        |   12 
 unicol-0.4.0/unicol/man/utoronto.Rd                                       |   10 
 unicol-0.4.0/unicol/man/uvic_1.Rd                                         |   12 
 unicol-0.4.0/unicol/man/uvic_2.Rd                                         |   12 
 unicol-0.4.0/unicol/man/uwaterloo_arts.Rd                                 |   12 
 unicol-0.4.0/unicol/man/uwaterloo_engineering.Rd                          |   12 
 unicol-0.4.0/unicol/man/uwaterloo_environment.Rd                          |   12 
 unicol-0.4.0/unicol/man/uwaterloo_health.Rd                               |   12 
 unicol-0.4.0/unicol/man/uwaterloo_main.Rd                                 |   12 
 unicol-0.4.0/unicol/man/uwaterloo_math.Rd                                 |   12 
 unicol-0.4.0/unicol/man/uwaterloo_science.Rd                              |   12 
 unicol-0.4.0/unicol/man/vanderbilt_1.Rd                                   |   10 
 unicol-0.4.0/unicol/man/vanderbilt_2.Rd                                   |   10 
 unicol-0.4.0/unicol/man/vanderbilt_3.Rd                                   |   10 
 unicol-0.4.0/unicol/man/waikato.Rd                                        |   10 
 unicol-0.4.0/unicol/man/western_uni.Rd                                    |   10 
 unicol-0.4.0/unicol/man/willamette.Rd                                     |   10 
 unicol-0.4.0/unicol/man/wm_1.Rd                                           |   10 
 unicol-0.4.0/unicol/man/wm_2.Rd                                           |   10 
 unicol-0.4.0/unicol/man/wm_3.Rd                                           |   10 
 unicol-0.4.0/unicol/man/wollongong_1.Rd                                   |   10 
 unicol-0.4.0/unicol/man/wollongong_2.Rd                                   |   10 
 unicol-0.4.0/unicol/man/yale.Rd                                           |   10 
 unicol-0.4.0/unicol/man/yeshiva.Rd                                        |   10 
 unicol-0.4.0/unicol/man/yorku_1.Rd                                        |   10 
 unicol-0.4.0/unicol/man/yorku_2.Rd                                        |   10 
 unicol-0.4.0/unicol/vignettes/color_pals.Rmd                              |   54 
 unicol-0.4.0/unicol/vignettes/using_pals.Rmd                              |    1 
 412 files changed, 4471 insertions(+), 3877 deletions(-)

More information about unicol at CRAN
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New package notionapi with initial version 0.1.0
Package: notionapi
Title: Client for the 'Notion API'
Version: 0.1.0
Description: Enable programmatic interaction with 'Notion' pages, databases, blocks, comments, and users through the 'Notion API' <https://developers.notion.com/>. Provides both synchronous and asynchronous client interfaces for building workflows and automations that integrate with 'Notion' workspaces. Supports all 'Notion API' endpoints including content creation, data retrieval, and workspace management.
License: MIT + file LICENSE
URL: https://brenwin1.github.io/notionapi/, https://github.com/brenwin1/notionapi
BugReports: https://github.com/brenwin1/notionapi/issues
Imports: cli, httr2, jsonlite, R6, rlang
Suggests: promises, testthat (>= 3.0.0), vcr (>= 2.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-08-28 12:57:44 UTC; brenwin
Author: Brenwin Ang [aut, cre, cph]
Maintainer: Brenwin Ang <brenwinalj@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-02 21:10:02 UTC

More information about notionapi at CRAN
Permanent link

New package GTRT with initial version 0.1.0
Package: GTRT
Title: Graph Theoretic Randomness Tests
Version: 0.1.0
Date: 2025-08-28
Description: A collection of functions for testing randomness (or mutual independence) in linear and circular data as proposed in Gehlot and Laha (2025a) <doi:10.48550/arXiv.2506.21157> and Gehlot and Laha (2025b) <doi:10.48550/arXiv.2506.23522>, respectively.
License: GPL-3
Encoding: UTF-8
Imports: stats, circular
Suggests: knitr, rmarkdown, timeSeriesDataSets
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-28 12:49:17 UTC; gehlo
Author: Shriya Gehlot [aut, cre], Arnab Kumar Laha [aut]
Maintainer: Shriya Gehlot <phd20shriyag@iima.ac.in>
Repository: CRAN
Date/Publication: 2025-09-02 21:10:20 UTC

More information about GTRT at CRAN
Permanent link

Package ghql updated to version 0.1.2 with previous version 0.1.0 dated 2020-03-04

Title: General Purpose 'GraphQL' Client
Description: A 'GraphQL' client, with an R6 interface for initializing a connection to a 'GraphQL' instance, and methods for constructing queries, including fragments and parameterized queries. Queries are checked with the 'libgraphqlparser' C++ parser via the 'graphql' package.
Author: Scott Chamberlain [aut] , Mark Padgham [aut, cre]
Maintainer: Mark Padgham <mark.padgham@email.com>

Diff between ghql versions 0.1.0 dated 2020-03-04 and 0.1.2 dated 2025-09-02

 ghql-0.1.0/ghql/README.md                           |only
 ghql-0.1.2/ghql/DESCRIPTION                         |   45 ++++---
 ghql-0.1.2/ghql/LICENSE                             |    4 
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More information about ghql at CRAN
Permanent link

New package gclink with initial version 1.1
Package: gclink
Title: Gene-Cluster Discovery, Annotation and Visualization
Version: 1.1
Description: Performs end-to-end analysis of gene clusters—such as photosynthesis, carbon/nitrogen/sulfur cycling, carotenoid, antibiotic, or viral marker genes (e.g., capsid, polymerase, integrase)—from genomes and metagenomes. It parses Basic Local Alignment Search Tool (BLAST) results in tab-delimited format produced by tools like NCBI BLAST+ and Diamond BLASTp, filters Open Reading Frames (ORFs) by length, detects contiguous clusters of reference genes, optionally extracts genomic coordinates, merges functional annotations, and generates publication-ready arrow plots. The package works seamlessly with or without the coding sequences input and skips plotting when no functional groups are found. For more details see Li et al. (2023) <doi:10.1038/s41467-023-42193-7>.
URL: https://github.com/LiuyangLee/gclink
BugReports: https://github.com/LiuyangLee/gclink/issues
License: GPL-3
Encoding: UTF-8
Imports: dplyr (>= 1.1.4), gggenes (>= 0.5.1), ggplot2 (>= 3.5.2), utils
Depends: R (>= 3.5)
LazyData: false
NeedsCompilation: no
Packaged: 2025-08-28 14:44:20 UTC; Administrator
Author: Liuyang Li [aut, cre]
Maintainer: Liuyang Li <cyanobacteria@yeah.net>
Repository: CRAN
Date/Publication: 2025-09-02 21:10:08 UTC

More information about gclink at CRAN
Permanent link

Package DT updated to version 0.34.0 with previous version 0.33 dated 2024-04-04

Title: A Wrapper of the JavaScript Library 'DataTables'
Description: Data objects in R can be rendered as HTML tables using the JavaScript library 'DataTables' (typically via R Markdown or Shiny). The 'DataTables' library has been included in this R package. The package name 'DT' is an abbreviation of 'DataTables'.
Author: Yihui Xie [aut], Joe Cheng [aut], Xianying Tan [aut], Garrick Aden-Buie [aut, cre] , JJ Allaire [ctb], Maximilian Girlich [ctb], Greg Freedman Ellis [ctb], Johannes Rauh [ctb], SpryMedia Limited [ctb, cph] , Brian Reavis [ctb, cph] , Leon Gersen [ctb [...truncated...]
Maintainer: Garrick Aden-Buie <garrick@posit.co>

Diff between DT versions 0.33 dated 2024-04-04 and 0.34.0 dated 2025-09-02

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More information about DT at CRAN
Permanent link

Package bdsm updated to version 0.2.2 with previous version 0.2.1 dated 2025-05-02

Title: Bayesian Dynamic Systems Modeling
Description: Implements methods for building and analyzing models based on panel data as described in the paper by Moral-Benito (2013, <doi:10.1080/07350015.2013.818003>). The package provides functions to estimate dynamic panel data models and analyze the results of the estimation.
Author: Mateusz Wyszynski [aut], Marcin Dubel [ctb, cre], Krzysztof Beck [ctb]
Maintainer: Marcin Dubel <marcindubel@gmail.com>

Diff between bdsm versions 0.2.1 dated 2025-05-02 and 0.2.2 dated 2025-09-02

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More information about bdsm at CRAN
Permanent link

Package animbook updated to version 1.0.1 with previous version 1.0.0 dated 2023-12-05

Title: Visualizing Changes in Performance Measures and Demographic Affiliations using Animation
Description: Create an interactive visualization to be used for communication purposes. Providing the function for preparing, plotting, and animating the data. Krisanat Anukarnsakulchularp (2023) <https://github.com/KrisanatA/animbook-journal>.
Author: Krisanat Anukarnsakulchularp [aut, cre, cph] , Dianne Cook [aut]
Maintainer: Krisanat Anukarnsakulchularp <krisanat.anu@gmail.com>

Diff between animbook versions 1.0.0 dated 2023-12-05 and 1.0.1 dated 2025-09-02

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More information about animbook at CRAN
Permanent link

Package typr updated to version 0.0.4 with previous version 0.0.3 dated 2025-05-30

Title: Write and Render 'Typst' Documents
Description: Compile 'Typst' files using the 'typst-cli' (<https://typst.app>) command line tool. Automatically falls back to rendering via embedded 'Typst' from 'Quarto' (<https://quarto.org>) if 'Typst' is not installed. Includes utilities to check for 'typst-cli' availability and run 'Typst' commands.
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>

Diff between typr versions 0.0.3 dated 2025-05-30 and 0.0.4 dated 2025-09-02

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More information about typr at CRAN
Permanent link

New package StreamCatTools with initial version 0.6.0
Package: StreamCatTools
Title: StreamCat Tools
Version: 0.6.0
Description: Tools for using the 'StreamCat' and 'LakeCat' API and interacting with the 'StreamCat' and 'LakeCat' database. Convenience functions in the package wrap the API for 'StreamCat' on <https://api.epa.gov/StreamCat/streams/metrics>.
Depends: R (>= 4.1.0)
Imports: sf, nhdplusTools, jsonlite, httr2, curl (>= 6.0.0)
Suggests: dplyr, ggplot2, mapview, testthat, knitr, rmarkdown, devtools, xml2, magrittr, readr, tidyr, stringr, purrr
Encoding: UTF-8
URL: https://usepa.github.io/StreamCatTools/, https://github.com/USEPA/StreamCatTools
BugReports: https://github.com/USEPA/StreamCatTools/issues
VignetteBuilder: knitr,rmarkdown
License: CC0
NeedsCompilation: no
Packaged: 2025-08-27 21:01:13 UTC; mweber
Author: Marc Weber [aut, cre], Ryan Hill [ctb], Travis Hudson [ctb], Allen Brookes [ctb], David Rebhuhn [ctb], Zachary Smith [ctb]
Maintainer: Marc Weber <weber.marc@epa.gov>
Repository: CRAN
Date/Publication: 2025-09-02 20:40:02 UTC

More information about StreamCatTools at CRAN
Permanent link

Package SpaDES.core updated to version 2.1.6 with previous version 2.1.0 dated 2024-06-02

Title: Core Utilities for Developing and Running Spatially Explicit Discrete Event Models
Description: Provides the core framework for a discrete event system to implement a complete data-to-decisions, reproducible workflow. The core components facilitate the development of modular pieces, and enable the user to include additional functionality by running user-built modules. Includes conditional scheduling, restart after interruption, packaging of reusable modules, tools for developing arbitrary automated workflows, automated interweaving of modules of different temporal resolution, and tools for visualizing and understanding the within-project dependencies. The suggested package 'NLMR' can be installed from the repository (<https://PredictiveEcology.r-universe.dev>).
Author: Alex M Chubaty [aut] , Eliot J B McIntire [aut, cre] , Yong Luo [ctb], Steve Cumming [ctb], Ceres Barros [ctb] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

Diff between SpaDES.core versions 2.1.0 dated 2024-06-02 and 2.1.6 dated 2025-09-02

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More information about SpaDES.core at CRAN
Permanent link

New package Rnaught with initial version 0.1.0
Package: Rnaught
Title: Estimate the Basic Reproduction Number (R0)
Version: 0.1.0
Description: A collection of methods for estimating the basic reproduction number (R0) of infectious diseases. Features a web application to interface with the estimators. Uses the models from: Fisman et al. (2013) <DOI:10.1371/journal.pone.0083622>, Bettencourt and Ribeiro (2008) <DOI:10.1371/journal.pone.0002185>, and White and Pagano (2008) <DOI:10.1002/sim.3136>. Includes datasets for Canadian national and provincial COVID-19 case counts provided by Berry et al. (2021) <DOI:10.1038/s41597-021-00955-2>.
License: AGPL (>= 3)
URL: https://mi2yorku.github.io/Rnaught/, https://github.com/MI2YorkU/Rnaught
BugReports: https://github.com/MI2YorkU/Rnaught/issues
Imports: stats, utils
Suggests: knitr, rmarkdown, shiny, bslib, DT, plotly, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-28 09:30:30 UTC; nmode
Author: Naeem Model [aut, cph, cre], Sawitree Boonpatcharanon [aut, cph], Jane Heffernan [aut, cph], Hanna Jankowski [aut, cph], Tatiana Krikella [aut, cph], Kseniia Lipikhin [ctb, cph]
Maintainer: Naeem Model <me@nmode.ca>
Repository: CRAN
Date/Publication: 2025-09-02 21:00:07 UTC

More information about Rnaught at CRAN
Permanent link

Package MplusAutomation updated to version 1.2 with previous version 1.1.1 dated 2024-01-30

Title: An R Package for Facilitating Large-Scale Latent Variable Analyses in Mplus
Description: Leverages the R language to automate latent variable model estimation and interpretation using 'Mplus', a powerful latent variable modeling program developed by Muthen and Muthen (<https://www.statmodel.com>). Specifically, this package provides routines for creating related groups of models, running batches of models, and extracting and tabulating model parameters and fit statistics.
Author: Michael Hallquist [aut, cre], Joshua Wiley [aut], Caspar van Lissa [ctb], Daniel Morillo [ctb]
Maintainer: Michael Hallquist <michael.hallquist@gmail.com>

Diff between MplusAutomation versions 1.1.1 dated 2024-01-30 and 1.2 dated 2025-09-02

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More information about MplusAutomation at CRAN
Permanent link

New package mLLMCelltype with initial version 1.3.2
Package: mLLMCelltype
Title: Cell Type Annotation Using Large Language Models
Version: 1.3.2
Description: Automated cell type annotation for single-cell RNA sequencing data using consensus predictions from multiple large language models (LLMs). LLMs are artificial intelligence models trained on vast text corpora to understand and generate human-like text. This package integrates with 'Seurat' objects and provides uncertainty quantification for annotations. Supports various LLM providers including 'OpenAI', 'Anthropic', and 'Google'. The package leverages these models through their respective APIs (Application Programming Interfaces) <https://platform.openai.com/docs>, <https://docs.anthropic.com/>, and <https://ai.google.dev/gemini-api/docs>. For details see Yang et al. (2025) <doi:10.1101/2025.04.10.647852>.
License: MIT + file LICENSE
BugReports: https://github.com/cafferychen777/mLLMCelltype/issues
URL: https://cafferyang.com/mLLMCelltype/
Encoding: UTF-8
Imports: dplyr, httr (>= 1.4.0), jsonlite (>= 1.7.0), R6 (>= 2.5.0), digest (>= 0.6.25), magrittr, utils
Suggests: knitr, rmarkdown, Seurat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-28 09:18:39 UTC; apple
Author: Chen Yang [aut, cre, cph]
Maintainer: Chen Yang <cafferychen777@tamu.edu>
Repository: CRAN
Date/Publication: 2025-09-02 20:50:12 UTC

More information about mLLMCelltype at CRAN
Permanent link

Package missoNet updated to version 1.5.1 with previous version 1.2.0 dated 2023-07-19

Title: Joint Sparse Regression & Network Learning with Missing Data
Description: Simultaneously estimates sparse regression coefficients and response network structure in multivariate models with missing data. Unlike traditional approaches requiring imputation, handles missingness natively through unbiased estimating equations (MCAR/MAR compatible). Employs dual L1 regularization with automated selection via cross-validation or information criteria. Includes parallel computation, warm starts, adaptive grids, publication-ready visualizations, and prediction methods. Ideal for genomics, neuroimaging, and multi-trait studies with incomplete high-dimensional outcomes. See Zeng et al. (2025) <doi:10.48550/arXiv.2507.05990>.
Author: Yixiao Zeng [aut, cre, cph], Celia Greenwood [ths, aut]
Maintainer: Yixiao Zeng <yixiao.zeng@mail.mcgill.ca>

Diff between missoNet versions 1.2.0 dated 2023-07-19 and 1.5.1 dated 2025-09-02

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More information about missoNet at CRAN
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Package ie2misc updated to version 0.9.2 with previous version 0.9.1 dated 2023-09-20

Title: Irucka Embry's Miscellaneous USGS Functions
Description: A collection of Irucka Embry's miscellaneous USGS functions (processing .exp and .psf files, statistical error functions, "+" dyadic operator for use with NA, creating ADAPS and QW spreadsheet files, calculating saturated enthalpy). Irucka created these functions while a Cherokee Nation Technology Solutions (CNTS) United States Geological Survey (USGS) Contractor and/or USGS employee.
Author: Irucka Embry [aut, cre], Anne Hoos [ctb], Timothy H. Diehl [ctb]
Maintainer: Irucka Embry <iembry@ecoccs.com>

Diff between ie2misc versions 0.9.1 dated 2023-09-20 and 0.9.2 dated 2025-09-02

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More information about ie2misc at CRAN
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Package ggfocus updated to version 1.0.1 with previous version 1.0.0 dated 2020-01-23

Title: Scales that Focus Specific Levels in your ggplot()
Description: A 'ggplot2' extension that provides tools for automatically creating scales to focus on subgroups of the data plotted without losing other information.
Author: Victor Freguglia [aut, cre]
Maintainer: Victor Freguglia <victorfreguglia@gmail.com>

Diff between ggfocus versions 1.0.0 dated 2020-01-23 and 1.0.1 dated 2025-09-02

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Package fdaPOIFD updated to version 2.0.1 with previous version 2.0.0 dated 2025-06-25

Title: Partially Observed Integrated Functional Depth
Description: Integrated Functional Depth for Partially Observed Functional Data and applications to visualization, outlier detection and classification. It implements the methods proposed in: Elías, A., Jiménez, R., Paganoni, A. M. and Sangalli, L. M., (2023), "Integrated Depth for Partially Observed Functional Data", Journal of Computational and Graphical Statistics, <doi:10.1080/10618600.2022.2070171>. Elías, A., Jiménez, R., & Shang, H. L. (2023), "Depth-based reconstruction method for incomplete functional data", Computational Statistics, <doi:10.1007/s00180-022-01282-9>. Elías, A., Nagy, S. (2024), "Statistical properties of partially observed integrated functional depths", TEST, <doi:10.1007/s11749-024-00954-6>.
Author: Antonio Elias [aut, cre], Raul Jimenez [ctb], Anna M. Paganoni [ctb], Laura M. Sangalli [ctb], Stanislav Nagy [ctb], Maximiliam Ofner [ctb]
Maintainer: Antonio Elias <antonioefz91@gmail.com>

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New package ddModel with initial version 0.2.9.0
Package: ddModel
Title: The Decision Diffusion Model
Version: 0.2.9.0
Date: 2025-08-07
Maintainer: Yi-Shin Lin <yishinlin001@gmail.com>
Description: Provides functions for computing the density, distribution, and random generation of the Decision Diffusion model (DDM), a widely used cognitive model for analysing choice and response time data. The package allows model specification, including the ability to fix, constrain, or vary parameters across experimental conditions. While it does not include a built-in optimiser, it supports likelihood evaluation and can be integrated with external tools for parameter estimation. Functions for simulating synthetic datasets are also provided. This package is intended for researchers modelling speeded decision-making in behavioural and cognitive experiments. For more information, see Voss, Rothermund, and Voss (2004) <doi:10.3758/BF03196893>, Voss and Voss (2007) <doi:10.3758/BF03192967>, and Ratcliff and McKoon (2008) <doi:10.1162/neco.2008.12-06-420>.
License: GPL (>= 2)
Imports: ggdmcPrior, ggdmcModel, Rcpp (>= 1.0.7), methods
Depends: R (>= 3.3.0)
LinkingTo: Rcpp (>= 1.0.7), RcppArmadillo (>= 0.10.7.5.0), ggdmcHeaders
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-08-28 00:15:59 UTC; yslin
Author: Yi-Shin Lin [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-02 20:50:24 UTC

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Package cvap updated to version 0.1.6 with previous version 0.1.5 dated 2024-03-21

Title: Citizen Voting Age Population
Description: Works with the Citizen Voting Age Population special tabulation from the US Census Bureau <https://www.census.gov/programs-surveys/decennial-census/about/voting-rights/cvap.html>. Provides tools to download and process raw data. Also provides a downloading interface to processed data. Implements a very basic approach to estimate block level citizen voting age population from block group data.
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>

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Package piecewiseSEM updated to version 2.3.1 with previous version 2.3.0.1 dated 2024-06-11

Title: Piecewise Structural Equation Modeling
Description: Implements piecewise structural equation modeling from a single list of structural equations, with new methods for non-linear, latent, and composite variables, standardized coefficients, query-based prediction and indirect effects. See <http://jslefche.github.io/piecewiseSEM/> for more.
Author: Jon Lefcheck [aut, cre], Jarrett Byrnes [aut], James Grace [aut]
Maintainer: Jon Lefcheck <jslefche@gmail.com>

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Package emuR updated to version 2.5.2 with previous version 2.5.0 dated 2024-03-15

Title: Main Package of the EMU Speech Database Management System
Description: Provide the EMU Speech Database Management System (EMU-SDMS) with database management, data extraction, data preparation and data visualization facilities. See <https://ips-lmu.github.io/The-EMU-SDMS-Manual/> for more details.
Author: Markus Jochim [aut, cre] , Raphael Winkelmann [aut], Klaus Jaensch [aut, ctb], Steve Cassidy [aut, ctb], Jonathan Harrington [aut, ctb]
Maintainer: Markus Jochim <markusjochim@phonetik.uni-muenchen.de>

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Package Boom updated to version 0.9.16 with previous version 0.9.15 dated 2024-02-03

Title: Bayesian Object Oriented Modeling
Description: A C++ library for Bayesian modeling, with an emphasis on Markov chain Monte Carlo. Although boom contains a few R utilities (mainly plotting functions), its primary purpose is to install the BOOM C++ library on your system so that other packages can link against it.
Author: Steven L. Scott [aut, cre]
Maintainer: Steven L. Scott <steve.the.bayesian@gmail.com>

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Package gamstransfer updated to version 3.0.7 with previous version 3.0.6 dated 2025-06-04

Title: A Data Interface Between 'GAMS' and R
Description: Read, analyze, modify, and write 'GAMS' (General Algebraic Modeling System) data. The main focus of 'gamstransfer' is the highly efficient transfer of data with 'GAMS' <https://www.gams.com/>, while keeping these operations as simple as possible for the user. The transfer of data usually takes place via an intermediate GDX (GAMS Data Exchange) file. Additionally, 'gamstransfer' provides utility functions to get an overview of 'GAMS' data and to check its validity.
Author: Atharv Bhosekar [aut, cre], GAMS Development Corp. [cph, fnd], GAMS Software GmbH [cph, fnd]
Maintainer: Atharv Bhosekar <abhosekar@gams.com>

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Package ImpactEffectsize updated to version 0.8 with previous version 0.7 dated 2024-04-14

Title: Calculation and Visualization of the Impact Effect Size Measure
Description: A non-parametric effect size measure capturing changes in central tendency or shape of data distributions. The package provides the necessary functions to calculate and plot the Impact effect size measure between two groups.
Author: Jorn Lotsch [aut, cre] , Alfred Ultsch [aut]
Maintainer: Jorn Lotsch <j.loetsch@em.uni-frankfurt.de>

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Package usa updated to version 0.1.3 with previous version 0.1.2 dated 2024-03-11

Title: Updated US State Facts and Figures
Description: Updated versions of the 1970's "US State Facts and Figures" objects from the 'datasets' package included with R. The new data is compiled from a number of sources, primarily from United States Census Bureau or the relevant federal agency.
Author: Kiernan Nicholls [aut, cre, cph]
Maintainer: Kiernan Nicholls <k5cents@gmail.com>

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Package tractor.base updated to version 3.4.5.1 with previous version 3.4.2 dated 2024-02-27

Title: Read, Manipulate and Visualise Magnetic Resonance Images
Description: Functions for working with magnetic resonance images. Reading and writing of popular file formats (DICOM, Analyze, NIfTI-1, NIfTI-2, MGH); interactive and non-interactive visualisation; flexible image manipulation; metadata and sparse image handling.
Author: Jon Clayden [cre, aut]
Maintainer: Jon Clayden <code@clayden.org>

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Package slca updated to version 1.4.0 with previous version 1.3.2 dated 2025-08-24

Title: Structural Modeling for Multiple Latent Class Variables
Description: Provides comprehensive tools for the implementation of Structural Latent Class Models (SLCM), including Latent Transition Analysis (LTA; Linda M. Collins and Stephanie T. Lanza, 2009) <doi:10.1002/9780470567333>, Latent Class Profile Analysis (LCPA; Hwan Chung et al., 2010) <doi:10.1111/j.1467-985x.2010.00674.x>, and Joint Latent Class Analysis (JLCA; Saebom Jeon et al., 2017) <doi:10.1080/10705511.2017.1340844>, and any other extended models involving multiple latent class variables.
Author: Youngsun Kim [aut, cre] , Hwan Chung [aut]
Maintainer: Youngsun Kim <yskstat@gmail.com>

Diff between slca versions 1.3.2 dated 2025-08-24 and 1.4.0 dated 2025-09-02

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Package fluxfinder updated to version 1.2.1 with previous version 1.2.0 dated 2025-08-21

Title: Parsing, Computation, and Diagnostics for Greenhouse Gas Measurements
Description: Parse static-chamber greenhouse gas measurement files generated by a variety of instruments; compute flux rates using multi-observation metadata; and generate diagnostic metrics and plots. Designed to be easy to integrate into reproducible scientific workflows.
Author: Stephanie Wilson [cre] , Ben Bond-Lamberty [aut] , Genevieve Noyce [ctb] , Roberta Bittencourt Peixoto [ctb] , Patrick Megonigal [ctb] , Smithsonian Institution [cph, fnd]
Maintainer: Stephanie Wilson <sjw22120@gmail.com>

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Package dynutils updated to version 1.0.12 with previous version 1.0.11 dated 2022-10-11

Title: Common Functionality for the 'dynverse' Packages
Description: Provides common functionality for the 'dynverse' packages. 'dynverse' is created to support the development, execution, and benchmarking of trajectory inference methods. For more information, check out <https://dynverse.org>.
Author: Robrecht Cannoodt [aut, cre] , Wouter Saelens [aut]
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>

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Package bfpwr updated to version 0.1.6 with previous version 0.1.5 dated 2025-05-15

Title: Power and Sample Size Calculations for Bayes Factor Analysis
Description: Implements z-test, t-test, and normal moment prior Bayes factors based on summary statistics, along with functionality to perform corresponding power and sample size calculations as described in Pawel and Held (2025) <doi:10.1080/00031305.2025.2467919>.
Author: Samuel Pawel [aut, cre]
Maintainer: Samuel Pawel <samuel.pawel@uzh.ch>

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Package vol2birdR updated to version 1.2.0 with previous version 1.1.1 dated 2025-06-25

Title: Vertical Profiles of Biological Signals in Weather Radar Data
Description: 'R' implementation of the 'vol2bird' software for generating vertical profiles of birds and other biological signals in weather radar data. See Dokter et al. (2011) <doi:10.1098/rsif.2010.0116> for a paper describing the methodology.
Author: Anders Henja [aut] , Adriaan M. Dokter [aut, cre] , Alexander Tedeschi [ctb] , Tsung-Yu Lin [ctb] , Subranshu Maji [ctb] , Daniel Sheldon [ctb] , Bart Kranstauber [ctb] , Jurriaan H. Spaaks [ctb] , Lourens Veen [ctb] , Iwan Holleman [ctb] , Hidde Lei [...truncated...]
Maintainer: Adriaan M. Dokter <vol2birdr@cornell.edu>

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Package puniform updated to version 0.2.8 with previous version 0.2.7 dated 2023-09-19

Title: Meta-Analysis Methods Correcting for Publication Bias
Description: Provides meta-analysis methods that correct for publication bias and outcome reporting bias. Four methods and a visual tool are currently included in the package. The p-uniform method as described in van Assen, van Aert, and Wicherts (2015) <doi:10.1037/met0000025> can be used for estimating the average effect size, testing the null hypothesis of no effect, and testing for publication bias using only the statistically significant effect sizes of primary studies. The second method in the package is the p-uniform* method as described in van Aert and van Assen (2023) <doi:10.31222/osf.io/zqjr9>. This method is an extension of the p-uniform method that allows for estimation of the average effect size and the between-study variance in a meta-analysis, and uses both the statistically significant and nonsignificant effect sizes. The third method in the package is the hybrid method as described in van Aert and van Assen (2018) <doi:10.3758/s13428-017-0967-6>. The hybrid metho [...truncated...]
Author: Robbie C.M. van Aert [aut, cre]
Maintainer: Robbie C.M. van Aert <R.C.M.vanAert@tilburguniversity.edu>

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Package gecko updated to version 1.0.2 with previous version 1.0.1 dated 2024-12-17

Title: Geographical Ecology and Conservation Knowledge Online
Description: Includes a collection of geographical analysis functions aimed primarily at ecology and conservation science studies, allowing processing of both point and raster data. Now integrates SPECTRE (<https://biodiversityresearch.org/spectre/>), a dataset of global geospatial threat data, developed by the authors.
Author: Vasco V. Branco [cre, aut] , Pedro Cardoso [aut] , Luis Correia [ctb]
Maintainer: Vasco V. Branco <vasco.branco@helsinki.fi>

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Package dynr updated to version 0.1.16-114 with previous version 0.1.16-105 dated 2023-11-28

Title: Dynamic Models with Regime-Switching
Description: Intensive longitudinal data have become increasingly prevalent in various scientific disciplines. Many such data sets are noisy, multivariate, and multi-subject in nature. The change functions may also be continuous, or continuous but interspersed with periods of discontinuities (i.e., showing regime switches). The package 'dynr' (Dynamic Modeling in R) is an R package that implements a set of computationally efficient algorithms for handling a broad class of linear and nonlinear discrete- and continuous-time models with regime-switching properties under the constraint of linear Gaussian measurement functions. The discrete-time models can generally take on the form of a state-space or difference equation model. The continuous-time models are generally expressed as a set of ordinary or stochastic differential equations. All estimation and computations are performed in C, but users are provided with the option to specify the model of interest via a set of simple and easy-to-learn model s [...truncated...]
Author: Lu Ou [aut], Michael D. Hunter [aut, cre] , Sy-Miin Chow [aut] , Linying Ji [aut], Meng Chen [aut], Hui-Ju Hung [aut], Jungmin Lee [aut], Yanling Li [aut], Jonathan Park [aut], Massachusetts Institute of Technology [cph], S. G. Johnson [cph], Benoit [...truncated...]
Maintainer: Michael D. Hunter <mike.dynr@gmail.com>

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Package visOmopResults updated to version 1.2.0 with previous version 1.1.1 dated 2025-06-19

Title: Graphs and Tables for OMOP Results
Description: Provides methods to transform omop_result objects into formatted tables and figures, facilitating the visualisation of study results working with the Observational Medical Outcomes Partnership (OMOP) Common Data Model.
Author: Marti Catala [aut] , Nuria Mercade-Besora [aut, cre] , Yuchen Guo [ctb] , Elin Rowlands [ctb] , Marta Alcalde-Herraiz [ctb] , Edward Burn [ctb]
Maintainer: Nuria Mercade-Besora <nuria.mercadebesora@ndorms.ox.ac.uk>

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Package scan updated to version 0.66.0 with previous version 0.65.1 dated 2025-07-13

Title: Single-Case Data Analyses for Single and Multiple Baseline Designs
Description: A collection of procedures for analysing, visualising, and managing single-case data. These include regression models (multilevel, multivariate, bayesian), between case standardised mean difference, overlap indices ('PND', 'PEM', 'PAND', 'PET', 'tau-u', 'IRD', 'baseline corrected tau', 'CDC'), and randomization tests. Data preparation functions support outlier detection, handling missing values, scaling, and custom transformations. An export function helps to generate html, word, and latex tables in a publication friendly style. A shiny app allows to use scan in a graphical user interface. More details can be found in the online book 'Analyzing single-case data with R and scan', Juergen Wilbert (2025) <https://jazznbass.github.io/scan-Book/>.
Author: Juergen Wilbert [cre, aut] , Timo Lueke [aut]
Maintainer: Juergen Wilbert <juergen.wilbert@uni-muenster.de>

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Package rasterdiv updated to version 0.3.8 with previous version 0.3.7 dated 2025-09-01

Title: Diversity Indices for Numerical Matrices
Description: Provides methods for calculating diversity indices on numerical matrices, based on information theory, following Rocchini, Marcantonio and Ricotta (2017) <doi:10.1016/j.ecolind.2016.07.039> and Rocchini et al. (2021) <doi:10.1101/2021.01.23.427872>.
Author: Matteo Marcantonio [aut, cre], Martina Iannacito [ctb] , Elisa Marchetto [ctb] , Elisa Thouverai [ctb] , Michele Torresani [ctb] , Daniele Da Re [ctb] , Clara Tattoni [ctb] , Giovanni Bacaro [ctb] , Saverio Vicario [aut], Carlo Ricotta [ctb] , Duccio [...truncated...]
Maintainer: Matteo Marcantonio <marcantoniomatteo@gmail.com>

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Package nflreadr updated to version 1.5.0 with previous version 1.4.1 dated 2024-07-29

Title: Download 'nflverse' Data
Description: A minimal package for downloading data from 'GitHub' repositories of the 'nflverse' project.
Author: Tan Ho [aut, cre, cph] , Sebastian Carl [aut], John Edwards [ctb], Ben Baldwin [ctb], Thomas Mock [ctb], Lee Sharpe [ctb], Pranav Rajaram [ctb]
Maintainer: Tan Ho <tan@tanho.ca>

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Package ltertools updated to version 2.1.0 with previous version 2.0.0 dated 2025-03-26

Title: Tools Developed by the Long Term Ecological Research Community
Description: Set of the data science tools created by various members of the Long Term Ecological Research (LTER) community. These functions were initially written largely as standalone operations and have later been aggregated into this package.
Author: Nicholas Lyon [aut, cre] , Angel Chen [aut] , Miguel C. Leon [ctb] , National Science Foundation [fnd] , University of California, Santa Barbara [cph]
Maintainer: Nicholas Lyon <lyon@nceas.ucsb.edu>

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Package wql updated to version 1.0.3 with previous version 1.0.2 dated 2025-01-23

Title: Exploring Water Quality Monitoring Data
Description: Functions to assist in the processing and exploration of data from environmental monitoring programs. The package name stands for "water quality" and reflects the original focus on time series data for physical and chemical properties of water, as well as the biota. Intended for programs that sample approximately monthly, quarterly or annually at discrete stations, a feature of many legacy data sets. Most of the functions should be useful for analysis of similar-frequency time series regardless of the subject matter.
Author: Alan Jassby [aut], James Cloern [ctb], Jemma Stachelek [ctb, cre]
Maintainer: Jemma Stachelek <jemma.stachelek@gmail.com>

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Package simplecolors updated to version 0.1.4 with previous version 0.1.3 dated 2025-08-22

Title: Access Color Names Using a Standardized Nomenclature
Description: A curated set of colors that are called using a standardized syntax: saturation + hue + lightness. For example, "brightblue4" and "mutedred2". Functions exists to return individual colors by name or to build palettes across or within hues. Most functions allow you to visualize the palettes in addition to returning the desired hex codes.
Author: Jake Riley [aut, cre]
Maintainer: Jake Riley <rjake@sas.upenn.edu>

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Package reda updated to version 0.5.6 with previous version 0.5.5 dated 2025-06-14

Title: Recurrent Event Data Analysis
Description: Contains implementations of recurrent event data analysis routines including (1) survival and recurrent event data simulation from stochastic process point of view by the thinning method proposed by Lewis and Shedler (1979) <doi:10.1002/nav.3800260304> and the inversion method introduced in Cinlar (1975, ISBN:978-0486497976), (2) the mean cumulative function (MCF) estimation by the Nelson-Aalen estimator of the cumulative hazard rate function, (3) two-sample recurrent event responses comparison with the pseudo-score tests proposed by Lawless and Nadeau (1995) <doi:10.2307/1269617>, (4) gamma frailty model with spline rate function following Fu, et al. (2016) <doi:10.1080/10543406.2014.992524>.
Author: Wenjie Wang [aut, cre] , Haoda Fu [aut], Sy Han Chiou [ctb], Jun Yan [ctb]
Maintainer: Wenjie Wang <wang@wwenjie.org>

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Package rcaiman updated to version 2.0.1 with previous version 1.2.2 dated 2023-11-14

Title: CAnopy IMage ANalysis
Description: Tools for preprocessing and processing canopy photographs with support for raw data reading. Provides methods to address variability in sky brightness and to mitigate errors from image acquisition in non-diffuse light. Works with all types of fish-eye lenses, and some methods also apply to conventional lenses.
Author: Gaston Mauro Diaz [aut, cre]
Maintainer: Gaston Mauro Diaz <gastonmaurodiaz@gmail.com>

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Package datana updated to version 1.1.3 with previous version 1.1.2 dated 2025-08-18

Title: Datasets and Functions to Accompany Analisis De Datos Con R
Description: Datasets and functions to accompany the book 'Analisis de datos con el programa estadistico R: una introduccion aplicada' by Salas-Eljatib (2021, ISBN: 9789566086109). The package helps carry out data management, exploratory analyses, and model fitting.
Author: Christian Salas-Eljatib [aut, cre] , Campos Nicolas [ctb] , Pino Nicolas [ctb] , Riquelme Joaquin [ctb]
Maintainer: Christian Salas-Eljatib <cseljatib@gmail.com>

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Package albatross updated to version 0.3-9 with previous version 0.3-8 dated 2024-05-07

Title: PARAFAC Analysis of Fluorescence Excitation-Emission Matrices
Description: Perform parallel factor analysis (PARAFAC: Hitchcock, 1927) <doi:10.1002/sapm192761164> on fluorescence excitation-emission matrices: handle scattering signal and inner filter effect, scale the dataset, fit the model; perform split-half validation or jack-knifing. Modified approaches such as Whittaker interpolation, randomised split-half, and fluorescence and scattering model estimation are also available. The package has a low dependency footprint and has been tested on a wide range of R versions.
Author: Ivan Krylov [aut, cre] , Timur Labutin [ths] , Anastasia Drozdova [rev]
Maintainer: Ivan Krylov <ikrylov@laser.chem.msu.ru>

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Package VoronoiBiomedPlot updated to version 0.2 with previous version 0.1.1 dated 2025-06-19

Title: Projection Visualization Plots for Dimensionally Reduced Data
Description: Creates visualization plots for 2D projected data including ellipse plots, Voronoi diagram plots, and combined ellipse-Voronoi plots. Designed to visualize class separation in dimensionally reduced data from techniques like principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA) or others. For more details see Lotsch and Ultsch (2024) <doi:10.1016/j.imu.2024.101573>.
Author: Jorn Lotsch [aut, cre]
Maintainer: Jorn Lotsch <j.lotsch@em.uni-frankfurt.de>

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Package textshaping updated to version 1.0.3 with previous version 1.0.2 dated 2025-09-01

Title: Bindings to the 'HarfBuzz' and 'Fribidi' Libraries for Text Shaping
Description: Provides access to the text shaping functionality in the 'HarfBuzz' library and the bidirectional algorithm in the 'Fribidi' library. 'textshaping' is a low-level utility package mainly for graphic devices that expands upon the font tool-set provided by the 'systemfonts' package.
Author: Thomas Lin Pedersen [cre, aut] , Posit Software, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package stRoke updated to version 25.9.1 with previous version 24.10.1 dated 2024-10-25

Title: Clinical Stroke Research
Description: A collection of tools for clinical trial data management and analysis in research and teaching. The package is mainly collected for personal use, but any use beyond that is encouraged. This package has migrated functions from 'agdamsbo/daDoctoR', and new functions has been added. Version follows months and year. See NEWS/Changelog for release notes. This package includes sampled data from the TALOS trial (Kraglund et al (2018) <doi:10.1161/STROKEAHA.117.020067>). The win_prob() function is based on work by Zou et al (2022) <doi:10.1161/STROKEAHA.121.037744>. The age_calc() function is based on work by Becker (2020) <doi:10.18637/jss.v093.i02>.
Author: Andreas Gammelgaard Damsbo [aut, cre]
Maintainer: Andreas Gammelgaard Damsbo <agdamsbo@clin.au.dk>

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Package rcompendium updated to version 1.4 with previous version 1.3 dated 2023-10-26

Title: Create a Package or Research Compendium Structure
Description: Makes easier the creation of R package or research compendium (i.e. a predefined files/folders structure) so that users can focus on the code/analysis instead of wasting time organizing files. A full ready-to-work structure is set up with some additional features: version control, remote repository creation, CI/CD configuration (check package integrity under several OS, test code with 'testthat', and build and deploy website using 'pkgdown'). This package heavily relies on the R packages 'devtools' and 'usethis' and follows recommendations made by Wickham H. (2015) <ISBN:9781491910597> and Marwick B. et al. (2018) <doi:10.7287/peerj.preprints.3192v2>.
Author: Nicolas Casajus [aut, cre, cph]
Maintainer: Nicolas Casajus <nicolas.casajus@fondationbiodiversite.fr>

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Package cmAnalysis updated to version 1.0.1 with previous version 1.0.0 dated 2025-03-13

Title: Process and Visualise Concept Mapping Data
Description: Concept maps are versatile tools used across disciplines to enhance understanding, teaching, brainstorming, and information organization. This package provides functions for processing and visualizing concept mapping data, involving the sequential use of cluster analysis (for sorting participants and statements), multidimensional scaling (for positioning statements in a conceptual space), and visualization techniques, including point cluster maps and dendrograms. The methodology and its validity are discussed in Kampen, J.K., Hageman, J.A., Breuer, M., & Tobi, H. (2025). "The validity of concept mapping: let's call a spade a spade." Qual Quant. <doi:10.1007/s11135-025-02351-z>.
Author: Jos Hageman [aut, cre], Jarl Kampen [aut]
Maintainer: Jos Hageman <jos.hageman@wur.nl>

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Package brpop updated to version 0.6.2 with previous version 0.6.0 dated 2025-02-24

Title: Brazilian Population Estimatives
Description: Functions to handle and aggregate population estimates for Brazilian municipalities by sex and age groups.
Author: Raphael Saldanha [aut, cre]
Maintainer: Raphael Saldanha <raphael.saldanha@fiocruz.br>

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Package TH.data updated to version 1.1-4 with previous version 1.1-3 dated 2025-01-17

Title: TH's Data Archive
Description: Contains data sets used in other packages Torsten Hothorn maintains.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package snowflakeauth updated to version 0.2.0 with previous version 0.1.2 dated 2025-06-19

Title: Authentication Helpers for 'Snowflake'
Description: Authentication helpers for 'Snowflake'. It provides compatibility with authentication approaches supported by the 'Snowflake Connector for Python' <https://pypi.org/project/snowflake-connector-python> and the 'Snowflake CLI' <https://pypi.org/project/snowflake-cli>.
Author: Aaron Jacobs [aut], E. David Aja [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: E. David Aja <david@posit.co>

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Package kanjistat updated to version 0.14.2 with previous version 0.14.1 dated 2024-06-04

Title: A Statistical Framework for the Analysis of Japanese Kanji Characters
Description: Various tools and data sets that support the study of kanji, including their morphology, decomposition and concepts of distance and similarity between them.
Author: Dominic Schuhmacher [aut, cre] , Lennart Finke [aut]
Maintainer: Dominic Schuhmacher <dominic.schuhmacher@mathematik.uni-goettingen.de>

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Package insight updated to version 1.4.2 with previous version 1.4.1 dated 2025-08-29

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Vincent Arel-Bundock [aut, ctb] , Etienne Bacher [aut, ctb] , Ale [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

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Package GUTS updated to version 1.2.6 with previous version 1.2.5 dated 2023-10-20

Title: Fast Calculation of the Likelihood of a Stochastic Survival Model
Description: Given exposure and survival time series as well as parameter values, GUTS allows for the fast calculation of the survival probabilities as well as the logarithm of the corresponding likelihood (see Albert, C., Vogel, S. and Ashauer, R. (2016) <doi:10.1371/journal.pcbi.1004978>).
Author: Carlo Albert [aut], Soeren Vogel [aut], Oliver Jakoby [aut, cre], Alexander Singer [aut], Dirk Nickisch [aut]
Maintainer: Oliver Jakoby <oliver.jakoby@rifcon.de>

Diff between GUTS versions 1.2.5 dated 2023-10-20 and 1.2.6 dated 2025-09-02

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Package dataPreparation updated to version 1.1.2 with previous version 1.1.1 dated 2023-07-04

Title: Automated Data Preparation
Description: Do most of the painful data preparation for a data science project with a minimum amount of code; Take advantages of 'data.table' efficiency and use some algorithmic trick in order to perform data preparation in a time and RAM efficient way.
Author: Emmanuel-Lin Toulemonde [aut, cre]
Maintainer: Emmanuel-Lin Toulemonde <el.toulemonde@protonmail.com>

Diff between dataPreparation versions 1.1.1 dated 2023-07-04 and 1.1.2 dated 2025-09-02

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Package bibliometrix updated to version 5.1.1 with previous version 5.1.0 dated 2025-07-15

Title: Comprehensive Science Mapping Analysis
Description: Tool for quantitative research in scientometrics and bibliometrics. It implements the comprehensive workflow for science mapping analysis proposed in Aria M. and Cuccurullo C. (2017) <doi:10.1016/j.joi.2017.08.007>. 'bibliometrix' provides various routines for importing bibliographic data from 'SCOPUS', 'Clarivate Analytics Web of Science' (<https://www.webofknowledge.com/>), 'Digital Science Dimensions' (<https://www.dimensions.ai/>), 'OpenAlex' (<https://openalex.org/>), 'Cochrane Library' (<https://www.cochranelibrary.com/>), 'Lens' (<https://lens.org>), and 'PubMed' (<https://pubmed.ncbi.nlm.nih.gov/>) databases, performing bibliometric analysis and building networks for co-citation, coupling, scientific collaboration and co-word analysis.
Author: Massimo Aria [cre, aut, cph] , Corrado Cuccurullo [aut]
Maintainer: Massimo Aria <aria@unina.it>

Diff between bibliometrix versions 5.1.0 dated 2025-07-15 and 5.1.1 dated 2025-09-02

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Package icesTAF updated to version 4.3.0 with previous version 4.2.0 dated 2023-03-21

Title: Functions to Support the ICES Transparent Assessment Framework
Description: Functions to support the ICES Transparent Assessment Framework <https://taf.ices.dk> to organize data, methods, and results used in ICES assessments. ICES is an organization facilitating international collaboration in marine science.
Author: Colin Millar [aut, cre]
Maintainer: Colin Millar <colin.millar@ices.dk>

Diff between icesTAF versions 4.2.0 dated 2023-03-21 and 4.3.0 dated 2025-09-02

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Package CDSE updated to version 0.3.0 with previous version 0.2.1 dated 2024-08-31

Title: 'Copernicus Data Space Ecosystem' API Wrapper
Description: Provides interface to the 'Copernicus Data Space Ecosystem' API <https://dataspace.copernicus.eu/analyse/apis>, mainly for searching the catalog of available data from Copernicus Sentinel missions and obtaining the images for just the area of interest based on selected spectral bands. The package uses the 'Sentinel Hub' REST API interface <https://dataspace.copernicus.eu/analyse/apis/sentinel-hub> that provides access to various satellite imagery archives. It allows you to access raw satellite data, rendered images, statistical analysis, and other features. This package is in no way officially related to or endorsed by Copernicus.
Author: Zivan Karaman [aut, cre, cph]
Maintainer: Zivan Karaman <zivan.karaman@gmail.com>

Diff between CDSE versions 0.2.1 dated 2024-08-31 and 0.3.0 dated 2025-09-02

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

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

2025-03-07 0.1.1
2025-01-14 0.1.0

Permanent link
Package dsm updated to version 2.3.4 with previous version 2.3.3 dated 2022-08-20

Title: Density Surface Modelling of Distance Sampling Data
Description: Density surface modelling of line transect data. A Generalized Additive Model-based approach is used to calculate spatially-explicit estimates of animal abundance from distance sampling (also presence/absence and strip transect) data. Several utility functions are provided for model checking, plotting and variance estimation.
Author: Laura Marshall [cre], David L. Miller [aut], Eric Rexstad [ctb], Louise Burt [ctb], Mark V. Bravington [ctb], Sharon Hedley [ctb], Megan Ferguson [ctb], Natalie Kelly [ctb]
Maintainer: Laura Marshall <lhm@st-andrews.ac.uk>

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Permanent link

Package TAF updated to version 4.3.0 with previous version 4.2.0 dated 2023-03-21

Title: Transparent Assessment Framework for Reproducible Research
Description: General framework to organize data, methods, and results used in reproducible scientific analyses. A TAF analysis consists of four scripts (data.R, model.R, output.R, report.R) that are run sequentially. Each script starts by reading files from a previous step and ends with writing out files for the next step. Convenience functions are provided to version control the required data and software, run analyses, clean residues from previous runs, manage files, manipulate tables, and produce figures. With a focus on stability and reproducible analyses, the TAF package comes with no dependencies. TAF forms a base layer for the 'icesTAF' package and other scientific applications.
Author: Arni Magnusson [aut, cre], Colin Millar [aut], Iago Mosqueira [aut], Alexandros Kokkalis [ctb], Ibrahim Umar [ctb], Hjalte Parner [ctb]
Maintainer: Arni Magnusson <thisisarni@gmail.com>

Diff between TAF versions 4.2.0 dated 2023-03-21 and 4.3.0 dated 2025-09-02

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Package OnAge updated to version 1.0.2 with previous version 1.0.1 dated 2017-10-20

Title: Test of Between-Group Differences in the Onset of Senescence
Description: Implementation of a likelihood ratio test of differential onset of senescence between two groups. Given two groups with measures of age and of an individual trait likely to be subjected to senescence (e.g. body mass), 'OnAge' provides an asymptotic p-value for the null hypothesis that senescence starts at the same age in both groups. The package implements the procedure used in Douhard et al. (2017) <doi:10.1111/oik.04421>.
Author: Laurent Jacob [aut], Frederic Douhard [aut] , Jean-Francois Lemaître [aut], Jean-Michel Gaillard [aut] , Aurelie Siberchicot [ctb, cre]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

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Package dbcsp updated to version 0.0.2.2 with previous version 0.0.2.1 dated 2022-06-30

Title: Distance-Based Common Spatial Patterns
Description: A way to apply Distance-Based Common Spatial Patterns (DB-CSP) techniques in different fields, both classical Common Spatial Patterns (CSP) as well as DB-CSP. The method is composed of two phases: applying the DB-CSP algorithm and performing a classification. The main idea behind the CSP is to use a linear transform to project data into low-dimensional subspace with a projection matrix, in such a way that each row consists of weights for signals. This transformation maximizes the variance of two-class signal matrices.The dbcsp object is created to compute the projection vectors. For exploratory and descriptive purpose, plot and boxplot functions can be used. Functions train, predict and selectQ are implemented for the classification step.
Author: Itziar Irigoien [aut], Concepcion Arenas [aut], Itsaso Rodriguez-Moreno [cre, aut]
Maintainer: Itsaso Rodriguez-Moreno <itsaso.rodriguez@ehu.eus>

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Package CINID updated to version 1.3-1 with previous version 1.3-0 dated 2020-05-22

Title: Curculionidae INstar IDentification
Description: Method for identifying the instar of Curculionid larvae from the observed distribution of the headcapsule size of mature larvae.
Author: Aurelie Siberchicot [ctb, cre] , Adrien Merville [aut], Marie-Claude Bel-Venner [aut] , Samuel Venner [aut]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

Diff between CINID versions 1.3-0 dated 2020-05-22 and 1.3-1 dated 2025-09-02

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Package amregtest updated to version 1.0.5 with previous version 1.0.3 dated 2024-04-12

Title: Runs Allelematch Regression Tests
Description: Automates regression testing of package 'allelematch'. Over 2500 tests covers all functions in 'allelematch', reproduces the examples from the documentation and includes negative tests. The implementation is based on 'testthat'.
Author: Department of Wildlife, Fish and Environmental Studies at Swedish University of Agricultural Sciences [cph], Goeran Spong [cph] , Paul Galpern [ctb] , Torvald Staxler [aut, cre]
Maintainer: Torvald Staxler <torvald.staxler@telia.com>

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Package SUMO updated to version 1.2.1 with previous version 1.2.0 dated 2025-05-29

Title: Generating Multi-Omics Datasets for Testing and Benchmarking
Description: Provides tools to simulate multi-omics datasets with predefined signal structures. The generated data can be used for testing, validating, and benchmarking integrative analysis methods such as factor models and clustering approaches. This version includes enhanced signal customization, visualization tools (scatter, histogram, 3D), MOFA-based analysis pipelines, PowerPoint export, and statistical profiling of datasets. Designed for both method development and teaching, SUMO supports real and synthetic data pipelines with interpretable outputs. Tini, Giulia, et al (2019) <doi:10.1093/bib/bbx167>.
Author: Bernard Isekah Osang'ir [aut, cre] , Ziv Shkedy [ctb], Surya Gupta [ctb], Juergen Claesen [ctb]
Maintainer: Bernard Isekah Osang'ir <Bernard.Osangir@sckcen.be>

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Package rigr readmission to version 1.0.8 with previous version 1.0.7 dated 2025-04-18

Title: Regression, Inference, and General Data Analysis Tools in R
Description: A set of tools to streamline data analysis. Learning both R and introductory statistics at the same time can be challenging, and so we created 'rigr' to facilitate common data analysis tasks and enable learners to focus on statistical concepts. We provide easy-to-use interfaces for descriptive statistics, one- and two-sample inference, and regression analyses. 'rigr' output includes key information while omitting unnecessary details that can be confusing to beginners. Heteroscedasticity-robust ("sandwich") standard errors are returned by default, and multiple partial F-tests and tests for contrasts are easy to specify. A single regression function can fit both linear and generalized linear models, allowing students to more easily make connections between different classes of models.
Author: Amy D Willis [aut, cre] , Taylor Okonek [aut], Charles J Wolock [aut], Brian D Williamson [aut], Scott S Emerson [aut], Andrew J Spieker [aut], Yiqun T Chen [aut], Travis Y Hee Wai [ctb], James P Hughes [ctb], R Core Team [ctb], Akhil S Bhel [ctb], T [...truncated...]
Maintainer: Amy D Willis <adwillis@uw.edu>

This is a re-admission after prior archival of version 1.0.7 dated 2025-04-18

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Package ragg updated to version 1.5.0 with previous version 1.4.0 dated 2025-04-10

Title: Graphic Devices Based on AGG
Description: Anti-Grain Geometry (AGG) is a high-quality and high-performance 2D drawing library. The 'ragg' package provides a set of graphic devices based on AGG to use as alternative to the raster devices provided through the 'grDevices' package.
Author: Thomas Lin Pedersen [cre, aut] , Maxim Shemanarev [aut, cph] , Tony Juricic [ctb, cph] , Milan Marusinec [ctb, cph] , Spencer Garrett [ctb] , Posit Software, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package pycno updated to version 1.4.1 with previous version 1.4 dated 2023-09-28

Title: Pycnophylactic Interpolation
Description: Given a SpatialPolygonsDataFrame and a set of populations for each polygon, compute a population density estimate based on Tobler's pycnophylactic interpolation algorithm. The result is a SpatialGridDataFrame. Methods are described in Tobler Waldo R. (1979) <doi:10.1080/01621459.1979.10481647>.
Author: Chris Brunsdon [aut], Francesca Bitonti [cre]
Maintainer: Francesca Bitonti <francesca.bitonti@unict.it>

Diff between pycno versions 1.4 dated 2023-09-28 and 1.4.1 dated 2025-09-02

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Package mi updated to version 1.2 with previous version 1.1 dated 2022-06-06

Title: Missing Data Imputation and Model Checking
Description: The mi package provides functions for data manipulation, imputing missing values in an approximate Bayesian framework, diagnostics of the models used to generate the imputations, confidence-building mechanisms to validate some of the assumptions of the imputation algorithm, and functions to analyze multiply imputed data sets with the appropriate degree of sampling uncertainty.
Author: Andrew Gelman [ctb], Jennifer Hill [ctb], Yu-Sung Su [aut], Masanao Yajima [ctb], Maria Pittau [ctb], Ben Goodrich [cre, aut], Yajuan Si [ctb], Jon Kropko [aut]
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

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Package haldensify updated to version 0.2.8 with previous version 0.2.3 dated 2022-02-09

Title: Highly Adaptive Lasso Conditional Density Estimation
Description: An algorithm for flexible conditional density estimation based on application of pooled hazard regression to an artificial repeated measures dataset constructed by discretizing the support of the outcome variable. To facilitate flexible estimation of the conditional density, the highly adaptive lasso, a non-parametric regression function shown to estimate cadlag (RCLL) functions at a suitably fast convergence rate, is used. The use of pooled hazards regression for conditional density estimation as implemented here was first described for by Díaz and van der Laan (2011) <doi:10.2202/1557-4679.1356>. Building on the conditional density estimation utilities, non-parametric inverse probability weighted (IPW) estimators of the causal effects of additive modified treatment policies are implemented, using conditional density estimation to estimate the generalized propensity score. Non-parametric IPW estimators based on this can be coupled with undersmoothing of the generalized propensit [...truncated...]
Author: Nima Hejazi [aut, cre, cph] , David Benkeser [aut] , Mark van der Laan [aut, ths] , Rachael Phillips [ctb]
Maintainer: Nima Hejazi <nh@nimahejazi.org>

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Package gtexture updated to version 1.0.1 with previous version 1.0.0 dated 2024-04-08

Title: Generalized Application of Co-Occurrence Matrices and Haralick Texture
Description: Generalizes application of gray-level co-occurrence matrix (GLCM) metrics to objects outside of images. The current focus is to apply GLCM metrics to the study of biological networks and fitness landscapes that are used in studying evolutionary medicine and biology, particularly the evolution of cancer resistance. The package was developed as part of the author's publication in Physics in Medicine and Biology Barker-Clarke et al. (2023) <doi:10.1088/1361-6560/ace305>. A general reference to learn more about mathematical oncology can be found at Rockne et al. (2019) <doi:10.1088/1478-3975/ab1a09>.
Author: Rowan Barker-Clarke [aut, cre] , Raoul Wadhwa [aut] , Davis Weaver [aut], Jacob Scott [aut]
Maintainer: Rowan Barker-Clarke <rowanbarkerclarke@gmail.com>

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Package crayons updated to version 0.0.4 with previous version 0.0.3 dated 2024-03-21

Title: Color Palettes from Crayon Boxes
Description: Provides color palettes based on crayon colors since the early 1900s. Colors are based on various crayon colors, sets, and promotional palettes, most of which can be found at <https://en.wikipedia.org/wiki/List_of_Crayola_crayon_colors>. All palettes are discrete palettes and are not necessarily color-blind friendly. Provides scales for 'ggplot2' for discrete coloring.
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>

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Package congress updated to version 0.1.0 with previous version 0.0.3 dated 2024-01-09

Title: Access the Congress.gov API
Description: Download and read data on United States congressional proceedings. Data is read from the Library of Congress's Congress.gov Application Programming Interface (<https://github.com/LibraryOfCongress/api.congress.gov/>). Functions exist for all version 3 endpoints, including for bills, amendments, congresses, summaries, members, reports, communications, nominations, and treaties.
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>

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 congress-0.1.0/congress/man/cong_summaries.Rd                                                        |    2 
 congress-0.1.0/congress/man/cong_treaty.Rd                                                           |    3 
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 congress-0.1.0/congress/tests/testthat/test-congress.R                                               |   10 
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 congress-0.1.0/congress/tests/testthat/test-record.R                                                 |    4 
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 congress-0.1.0/congress/tests/testthat/test-senate_communication.R                                   |   10 
 congress-0.1.0/congress/tests/testthat/test-summaries.R                                              |   10 
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Package celestial updated to version 1.5.8 with previous version 1.4.6 dated 2018-11-29

Title: Collection of Common Astronomical Conversion Routines and Functions
Description: Contains a number of common astronomy utility functions for cosmology and angular coordinates.
Author: Aaron Robotham [aut, cre]
Maintainer: Aaron Robotham <aaron.robotham@uwa.edu.au>

Diff between celestial versions 1.4.6 dated 2018-11-29 and 1.5.8 dated 2025-09-02

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Package camtrapR updated to version 2.3.1 with previous version 2.3.0 dated 2024-02-26

Title: Camera Trap Data Management and Preparation of Occupancy and Spatial Capture-Recapture Analyses
Description: Management of and data extraction from camera trap data in wildlife studies. The package provides a workflow for storing and sorting camera trap photos (and videos), tabulates records of species and individuals, and creates detection/non-detection matrices for occupancy and spatial capture-recapture analyses with great flexibility. In addition, it can visualise species activity data and provides simple mapping functions with GIS export.
Author: Juergen Niedballa [aut, cre] , Alexandre Courtiol [aut] , Rahel Sollmann [aut] , John Mathai [ctb], Seth Timothy Wong [ctb] , An The Truong Nguyen [ctb] , Azlan bin Mohamed [ctb] , Andrew Tilker [ctb] , Roshan Guharajan [ctb] , Ioannis Alexiou [ctb] [...truncated...]
Maintainer: Juergen Niedballa <camtrapr@gmail.com>

Diff between camtrapR versions 2.3.0 dated 2024-02-26 and 2.3.1 dated 2025-09-02

 DESCRIPTION                         |   38 +++--
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New package phase12designs with initial version 0.3.1
Package: phase12designs
Title: Comprehensive Tools for Running Model-Assisted Phase I/II Trial Simulations
Version: 0.3.1
Author: Angela Cao [aut, cre], Haolun Shi [ctb]
Maintainer: Angela Cao <cao.t.angela@gmail.com>
Description: Provides a comprehensive set of tools to simulate, evaluate, and compare model-assisted designs for early-phase (Phase I/II) clinical trials, including: - BOIN12 (Bayesian optimal interval phase 1/11 trial design; Lin et al. (2020) <doi:10.1200/PO.20.00257>), - BOIN-ET (Takeda, K., Taguri, M., & Morita, S. (2018) <doi:10.1002/pst.1864>), - EffTox (Thall, P. F., & Cook, J. D. (2004) <doi:10.1111/j.0006-341X.2004.00218.x>), - Ji3+3 (Joint i3+3 design; Lin, X., & Ji, Y. (2020) <doi:10.1080/10543406.2020.1818250>), - PRINTE (probability intervals of toxicity and efficacy design; Lin, X., & Ji, Y. (2021) <doi:10.1177/0962280220977009>), - STEIN (simple toxicity and efficacy interval design; Lin, R., & Yin, G. (2017) <doi:10.1002/sim.7428>), - TEPI (toxicity and efficacy probability interval design; Li, D. H., Whitmore, J. B., Guo, W., & Ji, Y. (2017) <doi:10.1158/1078-0432.CCR-16-1125>), - uTPI (utility-based toxicity Probabi [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: trialr, Iso
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-27 21:35:29 UTC; angela
Repository: CRAN
Date/Publication: 2025-09-02 06:30:02 UTC

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New package MLmorph with initial version 0.1.0
Package: MLmorph
Title: Integrating Morphological Modeling and Machine Learning for Decision Support
Version: 0.1.0
Description: Integrating morphological modeling with machine learning to support structured decision-making (e.g., in management and consulting). The package enumerates a morphospace of feasible configurations and uses random forests to estimate class probabilities over that space, bridging deductive model exploration with empirical validation. It includes utilities for factorizing inputs, model training, morphospace construction, and an interactive 'shiny' app for scenario exploration.
License: MIT + file LICENSE
URL: https://github.com/theogrost/MLmorph
BugReports: https://github.com/theogrost/MLmorph/issues
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: caret (>= 6.0.94), jsonlite (>= 1.8.8), magrittr, openxlsx (>= 4.2.5.2), randomForest (>= 4.7.1.1), shiny (>= 1.10.0), stats (>= 4.3.0), tidyr (>= 1.3.1), utils (>= 4.3.0)
Suggests: testthat (>= 3.0.0)
Language: en-US
NeedsCompilation: no
Packaged: 2025-08-27 19:06:23 UTC; theog
Author: Oskar Kosch [aut, cre, cph]
Maintainer: Oskar Kosch <contact@oskarkosch.com>
Repository: CRAN
Date/Publication: 2025-09-02 06:20:02 UTC

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New package flex with initial version 0.1.0
Package: flex
Title: Fuzzy Linear Squares Estimation with Explicit Formula (FLEX)
Version: 0.1.0
Date: 2025-08-27
Description: The FLEX method, developed by Yoon and Choi (2013) <doi:10.1007/978-3-642-33042-1_21>, performs least squares estimation for fuzzy predictors and outcomes, generating crisp regression coefficients by minimizing the distance between observed and predicted outcomes. It also provides functions for fuzzifying data and inference tasks, including significance testing, fit indices, and confidence interval estimation.
License: MIT + file LICENSE
BugReports: https://github.com/cwlee-quantpsych/flex/issues
Depends: R (>= 3.5.0)
Encoding: UTF-8
Imports: ggplot2, plotly, rlang, magrittr
NeedsCompilation: no
Packaged: 2025-08-27 21:23:07 UTC; chaewon
Author: Chaewon Lee [aut, cre], Jin Hee Yoon [ctb]
Maintainer: Chaewon Lee <chaewon.lee@unc.edu>
Repository: CRAN
Date/Publication: 2025-09-02 06:30:07 UTC

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New package trendtestR with initial version 1.0.1
Package: trendtestR
Title: Exploratory Trend Analysis and Visualization for Time-Series and Grouped Data
Version: 1.0.1
Description: Provides a set of exploratory data analysis (EDA) tools for visualizing trends, diagnosing data types for beginner-friendly workflows, and automatically routing to suitable statistical tests or trend exploration models. Includes unified plotting functions for trend lines, grouped boxplots, and comparative scatterplots; automated statistical testing (e.g., t-test, Wilcoxon, ANOVA, Kruskal-Wallis, Tukey, Dunn) with optional effect size calculation; and model-based trend analysis using generalized additive models (GAM) for count data, generalized linear models (GLM) for continuous data, and zero-inflated models (ZIP/ZINB) for count data with potential zero-inflation. Also supports time-window continuity checks, cross-year handling in compare_monthly_cases(), and ARIMA-ready preparation with stationarity diagnostics, ensuring consistent parameter styles for reproducible research and user-friendly workflows.Methods are based on R Core Team (2024) <https://www.R-project.org/>, Wood, S. [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, ggplot2 (>= 3.3.0), lubridate, emmeans, e1071, forecast, MASS, multcomp, tidyselect, tidyr, tseries, car, FSA, ggpubr, rlang, splines, pscl, mgcv
Suggests: testthat (>= 3.0.0), mockr, knitr, rmarkdown
URL: https://github.com/GrahnH/trendtestR
BugReports: https://github.com/GrahnH/trendtestR/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-27 15:32:51 UTC; 10025
Author: Gelan Huang [aut, cre]
Maintainer: Gelan Huang <huanggelan97@icloud.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-09-02 05:40:02 UTC

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New package rvolleydata with initial version 1.0.0
Package: rvolleydata
Title: Extract Data from Professional Volleyball Leagues in North America
Version: 1.0.0
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.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/awosoga/rvolleydata, https://awosoga.github.io/rvolleydata/
BugReports: https://github.com/awosoga/rvolleydata/issues
Depends: R (>= 4.1.0)
Imports: dplyr, lubridate, readr, tibble
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-27 15:18:40 UTC; ddawosog
Author: David Awosoga [aut, cre, cph] , Matthew Chow [aut] , Ryan Du [aut]
Maintainer: David Awosoga <odo.awosoga@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-02 05:30:01 UTC

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New package RobustMetrics with initial version 0.1.1
Package: RobustMetrics
Title: Calculates Robust Performance Metrics for Imbalanced Classification Problems
Version: 0.1.1
Maintainer: Bernhard Klar <bernhard.klar@kit.edu>
Description: Calculates robust Matthews Correlation Coefficient (MCC) and robust F-Beta Scores, as introduced by Holzmann and Klar (2024) <doi:10.48550/arXiv.2404.07661>. These performance metrics are designed for imbalanced classification problems. Plots the receiver operating characteristic curve (ROC curve) together with the recall / 1-precision curve.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://github.com/BernhardKlar/RobustMetrics
BugReports: https://github.com/BernhardKlar/RobustMetrics/issues
NeedsCompilation: no
Packaged: 2025-08-27 14:14:55 UTC; Klar
Author: Bernhard Klar [aut, cre], Hajo Holzmann [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-09-02 05:30:07 UTC

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New package regress3d with initial version 1.0.0
Package: regress3d
Title: Create 3D Regression Surfaces
Version: 1.0.0
Description: Plot regression surfaces and marginal effects in three dimensions. The plots are 'plotly' objects and can be customized using functions and arguments from the 'plotly' package.
License: GPL (>= 3)
Encoding: UTF-8
Imports: broom, dplyr, magrittr, plotly, rlang, stats, tibble
Depends: R (>= 3.5)
LazyData: true
Suggests: knitr, rmarkdown, scales, stargazer, testthat (>= 3.0.0)
URL: https://github.com/ellaFosterMolina/regress3d, https://ellafostermolina.github.io/regress3d/
BugReports: https://github.com/ellaFosterMolina/regress3d/issues
NeedsCompilation: no
Packaged: 2025-08-27 17:50:39 UTC; Ella
Author: Ella Foster-Molina [aut, cre, cph]
Maintainer: Ella Foster-Molina <ella.fostermolina@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-02 05:40:07 UTC

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New package multiScaleR with initial version 0.4.5
Package: multiScaleR
Title: Methods for Optimizing Scales of Effect
Version: 0.4.5
Description: A tool for optimizing scales of effect when modeling ecological processes in space. Specifically, the scale parameter of a distance-weighted kernel distribution is identified for all environmental layers included in the model. Includes functions to assist in model selection, model evaluation, efficient transformation of raster surfaces using fast Fourier transformation, and projecting models. For more details see Peterman (2025) <doi:10.21203/rs.3.rs-7246115/v1>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: Rcpp, Matrix, cowplot, dplyr, fields, ggplot2, insight, stats, utils, unmarked, exactextractr, crayon, parallel, optimParallel, AICcmodavg, methods, pscl
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 4.3), terra, sf
Suggests: knitr, rmarkdown
URL: https://github.com/wpeterman/multiScaleR
BugReports: https://github.com/wpeterman/multiScaleR/issues
BuildVignettes: true
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-08-27 15:32:19 UTC; peterman.73
Author: Bill Peterman [aut, cre]
Maintainer: Bill Peterman <Peterman.73@osu.edu>
Repository: CRAN
Date/Publication: 2025-09-02 05:40:12 UTC

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New package mitey with initial version 0.2.0
Package: mitey
Title: Serial Interval and Case Reproduction Number Estimation
Version: 0.2.0
Description: Provides methods to estimate serial intervals and time-varying case reproduction numbers from infectious disease outbreak data. Serial intervals measure the time between symptom onset in linked transmission pairs, while case reproduction numbers quantify how many secondary cases each infected individual generates over time. These parameters are essential for understanding transmission dynamics, evaluating control measures, and informing public health responses. The package implements the maximum likelihood framework from Vink et al. (2014) <doi:10.1093/aje/kwu209> for serial interval estimation and the retrospective method from Wallinga & Lipsitch (2007) <doi:10.1098/rspb.2006.3754> for reproduction number estimation. Originally developed for scabies transmission analysis but applicable to other infectious diseases including influenza, COVID-19, and emerging pathogens. Designed for epidemiologists, public health researchers, and infectious disease modelers working with [...truncated...]
Date: 2025-08-16
License: EUPL-1.2
Encoding: UTF-8
Imports: fdrtool, ggplot2, stats
URL: https://github.com/kylieainslie/mitey, https://kylieainslie.github.io/mitey/
BugReports: https://github.com/kylieainslie/mitey/issues
Suggests: brms, broom, cowplot, dplyr, EpiLPS, flextable, forcats, ftExtra, ggridges, gt, here, ISOweek, knitr, lubridate, officer, openxlsx, outbreaks, purrr, rmarkdown, stringr, testthat (>= 3.0.0), tidybayes, tidyr, viridis, zoo
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2025-08-27 15:22:05 UTC; kylieainslie
Author: Kylie Ainslie [aut, cre, cph]
Maintainer: Kylie Ainslie <ainslie.kylie@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-02 05:40:18 UTC

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Package TFunHDDC updated to version 1.0.2 with previous version 1.0.1 dated 2023-06-04

Title: Clustering of Functional Data via Mixtures of t-Distributions
Description: Extension of 'funHDDC' Schmutz et al. (2018) <doi:10.1007/s00180-020-00958-4> for cases including outliers by fitting t-distributions for robust groups. 'TFunHDDC' can cluster univariate or multivariate data produced by the 'fda' package for data using a b-splines or Fourier basis.
Author: Cristina Anton [aut, cre], Iain Smith [aut], Malcolm Nielsen [aut], Jeffrey Andrews [ctb], Jaymeson Wickins [ctb], Nicholas Boers [ctb], Paul McNicholas [ctb], Amandine Schmutz [ctb], Julien Jacques [ctb], Charles Bouveyron [ctb]
Maintainer: Cristina Anton <popescuc@macewan.ca>

Diff between TFunHDDC versions 1.0.1 dated 2023-06-04 and 1.0.2 dated 2025-09-02

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Package magicaxis updated to version 2.5.1 with previous version 2.4.5 dated 2024-01-31

Title: Pretty Scientific Plotting with Minor-Tick and Log Minor-Tick Support
Description: Functions to make useful (and pretty) plots for scientific plotting. Additional plotting features are added for base plotting, with particular emphasis on making attractive log axis plots.
Author: Aaron Robotham [aut, cre]
Maintainer: Aaron Robotham <aaron.robotham@uwa.edu.au>

Diff between magicaxis versions 2.4.5 dated 2024-01-31 and 2.5.1 dated 2025-09-02

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Package hyper.fit updated to version 1.2.2 with previous version 1.2.1 dated 2024-06-06

Title: N-Dimensional Hyperplane Fitting with Errors
Description: High level functions for hyperplane fitting (hyper.fit()) and visualising (hyper.plot2d() / hyper.plot3d()). In simple terms this allows the user to produce robust 1D linear fits for 2D x vs y type data, and robust 2D plane fits to 3D x vs y vs z type data. This hyperplane fitting works generically for any N-1 hyperplane model being fit to a N dimension dataset. All fits include intrinsic scatter in the generative model orthogonal to the hyperplane.
Author: Aaron Robotham [cre, aut, cph] , Danail Obreschkow [aut, ctb]
Maintainer: Aaron Robotham <aaron.robotham@uwa.edu.au>

Diff between hyper.fit versions 1.2.1 dated 2024-06-06 and 1.2.2 dated 2025-09-02

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 hyper.fit-1.2.2/hyper.fit/data/TFR.tab.gz            |only
 hyper.fit-1.2.2/hyper.fit/data/convtest1dNorm.tab.gz |only
 hyper.fit-1.2.2/hyper.fit/data/convtest2dLD.tab.gz   |only
 hyper.fit-1.2.2/hyper.fit/data/convtest2dOpt.tab.gz  |only
 hyper.fit-1.2.2/hyper.fit/data/hogg.tab.gz           |only
 hyper.fit-1.2.2/hyper.fit/data/intrin.tab.gz         |only
 hyper.fit-1.2.2/hyper.fit/data/trumpet.tab.gz        |only
 hyper.fit-1.2.2/hyper.fit/man/hyper.fit-data.Rd      |   15 --------
 hyper.fit-1.2.2/hyper.fit/man/hyper.fit-package.Rd   |    2 -
 hyper.fit-1.2.2/hyper.fit/man/hyper.fit.Rd           |   10 +++--
 hyper.fit-1.2.2/hyper.fit/man/hyper.plot.Rd          |    3 +
 hyper.fit-1.2.2/hyper.fit/man/hyper.summary.Rd       |    2 -
 28 files changed, 36 insertions(+), 42 deletions(-)

More information about hyper.fit at CRAN
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