Fri, 05 Jun 2026

Package pgenlibr updated to version 0.6.2 with previous version 0.6.1 dated 2026-03-28

Title: 'PLINK' 2 Binary (.pgen) Reader
Description: A thin wrapper over 'PLINK' 2's core libraries which provides an R interface for reading .pgen files. A minimal .pvar loader is also included. Chang et al. (2015) <doi:10.1186/s13742-015-0047-8>.
Author: Christopher Chang [aut, cre], Eric Biggers [ctb, cph] , Yann Collet [ctb] , Meta Platforms, Inc. [cph] , Evan Nemerson [ctb, cph] , Przemyslaw Skibinski [ctb] , Nick Terrell [ctb]
Maintainer: Christopher Chang <chrchang@alumni.caltech.edu>

Diff between pgenlibr versions 0.6.1 dated 2026-03-28 and 0.6.2 dated 2026-06-05

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Permanent link

Package multivarious updated to version 0.3.2 with previous version 0.3.0 dated 2026-01-21

Title: Extensible Data Structures for Multivariate Analysis
Description: Provides a set of basic and extensible data structures and functions for multivariate analysis, including dimensionality reduction techniques, projection methods, and preprocessing functions. The aim of this package is to offer a flexible and user-friendly framework for multivariate analysis that can be easily extended for custom requirements and specific data analysis tasks.
Author: Bradley Buchsbaum [aut, cre]
Maintainer: Bradley Buchsbaum <brad.buchsbaum@gmail.com>

Diff between multivarious versions 0.3.0 dated 2026-01-21 and 0.3.2 dated 2026-06-05

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More information about multivarious at CRAN
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Package smriti updated to version 0.2.0 with previous version 0.1.0 dated 2026-05-21

Title: Automated Routing Engine for Longitudinal Missing Data
Description: Provides an automated routing engine for longitudinal missing data. It utilizes a Lagrange-constrained Random Forest based on sample size, missingness rate, and skew to preserve structural variance.
Author: Xiyuan Guo [aut, cre]
Maintainer: Xiyuan Guo <tommyguo039@gmail.com>

Diff between smriti versions 0.1.0 dated 2026-05-21 and 0.2.0 dated 2026-06-05

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Permanent link

Package tablet updated to version 0.8.1 with previous version 0.7.1 dated 2026-01-09

Title: Tabulate Descriptive Statistics in Multiple Formats
Description: Creates a table of descriptive statistics for factor and numeric columns in a data frame. Displays these by groups, if any. Highly customizable, with support for 'html' and 'pdf' provided by 'kableExtra'. Respects original column order, column labels, and factor level order. See ?tablet.data.frame and vignettes.
Author: Tim Bergsma [aut, cre]
Maintainer: Tim Bergsma <bergsmat@gmail.com>

Diff between tablet versions 0.7.1 dated 2026-01-09 and 0.8.1 dated 2026-06-05

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More information about tablet at CRAN
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Package realestatebr readmission to version 1.0.1 with previous version 1.0.0 dated 2026-05-27

Title: Import Brazilian Real Estate Data into R
Description: Provides access to Brazilian real estate market data from multiple official sources: the Central Bank of Brazil (BCB), the Brazilian Association of Real Estate Developers (ABRAINC), the Brazilian Association of Real Estate Credit and Savings Entities (ABECIP), the Getulio Vargas Foundation (FGV), and the Bank for International Settlements (BIS).
Author: Vinicius Oike Reginatto [aut, cre, cph]
Maintainer: Vinicius Oike Reginatto <viniciusoike@gmail.com>

This is a re-admission after prior archival of version 1.0.0 dated 2026-05-27

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More information about realestatebr at CRAN
Permanent link

Package lang updated to version 0.1.1 with previous version 0.1.0 dated 2025-10-30

Title: Translates R Help Documentation using Large Language Models
Description: Translates R help documentation on the fly by using a Large Language model of your choice. If you are using 'RStudio' or 'Positron' the translated help will appear in the help pane.
Author: Edgar Ruiz [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Edgar Ruiz <edgar@posit.co>

Diff between lang versions 0.1.0 dated 2025-10-30 and 0.1.1 dated 2026-06-05

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Package ggpicrust2 updated to version 2.5.17 with previous version 2.5.16 dated 2026-05-20

Title: Make 'PICRUSt2' Output Analysis and Visualization Easier
Description: Provides a convenient way to analyze and visualize 'PICRUSt2' output with pre-defined plots and functions. Allows for generating statistical plots about microbiome functional predictions and offers customization options. Features a one-click option for creating publication-level plots, saving time and effort in producing professional-grade figures. Streamlines the 'PICRUSt2' analysis and visualization process. For more details, see Yang et al. (2023) <doi:10.1093/bioinformatics/btad470>.
Author: Chen Yang [aut, cre], Liangliang Zhang [aut]
Maintainer: Chen Yang <cafferychen7850@gmail.com>

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Package dunn.test updated to version 1.4.1 with previous version 1.4.0 dated 2026-05-28

Title: Dunn's Test of Multiple Comparisons Using Rank Sums
Description: Computes Dunn's test (1964) for stochastic superiority and reports the results among multiple pairwise comparisons after a Kruskal-Wallis test for stochastic superiority among k groups (Kruskal and Wallis, 1952). 'dunn.test' makes k(k-1)/2 multiple pairwise comparisons based on Dunn's z-test-statistic approximations to the actual rank statistics. The null hypothesis for each pairwise comparison is that the probability of observing a randomly selected value from the first group that is larger than a randomly selected value from the second group equals one half; this null hypothesis corresponds to that of the Wilcoxon-Mann-Whitney rank-sum test. 'dunn.test' accounts for tied ranks.
Author: Alexis Dinno [aut, cre, cph]
Maintainer: Alexis Dinno <alexis.dinno@pdx.edu>

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Package tram updated to version 1.4-3 with previous version 1.4-2 dated 2026-05-09

Title: Transformation Models
Description: Formula-based user-interfaces to specific transformation models implemented in package 'mlt' (<DOI:10.32614/CRAN.package.mlt>, <DOI:10.32614/CRAN.package.mlt.docreg>). Available models include Cox models, some parametric survival models (Weibull, etc.), models for ordered categorical variables, normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression (Lohse et al., 2017, <DOI:10.12688/f1000research.12934.1>). The underlying theory is described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>. An extension to transformation models for clustered data is provided (Barbanti and Hothorn, 2022, <DOI:10.1093/biostatistics/kxac048>) and a tutorial explains applications in survival analysis (Siegfried et al., 2025, <DOI:10.48550/arXiv.2402.06428>). Multivariate conditional transformation models (Klein et al, 2022, <DOI:10.1111/sjos.12501>) and shift-scale transformation models (Siegfried et al, 2023, <DOI:10.108 [...truncated...]
Author: Torsten Hothorn [aut, cre] , Luisa Barbanti [ctb] , Sandra Siegfried [aut] , Lucas Kook [aut] , Susanne Dandl [ctb] , Brian Ripley [ctb], Bill Venables [ctb], Douglas M. Bates [ctb], Nadja Klein [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package famish updated to version 0.2.1 with previous version 0.2.0 dated 2025-12-08

Title: Flexibly Tune Families of Probability Distributions
Description: Fits probability distributions to data and plugs into the 'probaverse' suite of R packages so distribution objects are ready for further manipulation and evaluation. Supports methods such as maximum likelihood and L-moments, and provides diagnostics including empirical ranking and quantile score.
Author: Vincenzo Coia [aut, cre, cph]
Maintainer: Vincenzo Coia <vincenzo.coia@gmail.com>

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Package eyeris updated to version 3.1.0 with previous version 3.0.1 dated 2025-10-07

Title: Flexible, Extensible, & Reproducible Pupillometry Preprocessing
Description: Pupillometry offers a non-invasive window into the mind and has been used extensively as a psychophysiological readout of arousal signals linked with cognitive processes like attention, stress, and emotional states [Clewett et al. (2020) <doi:10.1038/s41467-020-17851-9>; Kret & Sjak-Shie (2018) <doi:10.3758/s13428-018-1075-y>; Strauch (2024) <doi:10.1016/j.tins.2024.06.002>]. Yet, despite decades of pupillometry research, many established packages and workflows to date lack design patterns based on Findability, Accessibility, Interoperability, and Reusability (FAIR) principles [see Wilkinson et al. (2016) <doi:10.1038/sdata.2016.18>]. 'eyeris' provides a modular, performant, and extensible preprocessing framework for pupillometry data with BIDS-like organization and interactive output reports [Esteban et al. (2019) <doi:10.1038/s41592-018-0235-4>; Gorgolewski et al. (2016) <doi:10.1038/sdata.2016.44>]. Development was supported, in part, by the S [...truncated...]
Author: Shawn Schwartz [aut, cre] , Mingjian He [ctb], Haopei Yang [ctb], Alice Xue [ctb], Gustavo Santiago-Reyes [ctb]
Maintainer: Shawn Schwartz <shawn.t.schwartz@gmail.com>

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Package Transform updated to version 1.1 with previous version 1.0 dated 2023-06-08

Title: Statistical Transformations
Description: Performs various statistical transformations; Box-Cox and Log (Box and Cox, 1964) <doi:10.1111/j.2517-6161.1964.tb00553.x>, Glog (Durbin et al., 2002) <doi:10.1093/bioinformatics/18.suppl_1.S105>, Neglog (Whittaker et al., 2005) <doi:10.1111/j.1467-9876.2005.00520.x>, Reciprocal (Tukey, 1957), Log Shift (Feng et al., 2016) <doi:10.1002/sta4.104>, Bickel-Docksum (Bickel and Doksum, 1981) <doi:10.1080/01621459.1981.10477649>, Yeo-Johnson (Yeo and Johnson, 2000) <doi:10.1093/biomet/87.4.954>, Square Root (Medina et al., 2019), Manly (Manly, 1976) <doi:10.2307/2988129>, Modulus (John and Draper, 1980) <doi:10.2307/2986305>, Dual (Yang, 2006) <doi:10.1016/j.econlet.2006.01.011>, Gpower (Kelmansky et al., 2013) <doi:10.1515/sagmb-2012-0030>. It also performs graphical approaches, assesses the success of the transformation via tests and plots.
Author: Muge Coskun Yildirim [aut], Osman Dag [aut, cre]
Maintainer: Osman Dag <osman.dag@outlook.com>

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New package rsocsim with initial version 1.9.18
Package: rsocsim
Title: SOCSIM
Version: 1.9.18
Date: 2026-06-01
Maintainer: Tom Theile <theile@demogr.mpg.de>
Description: Tools for preparing inputs, running SOCSIM (SOCial SIMulator) demographic kinship microsimulations, and reading simulation outputs from R. The package includes helpers for creating simulation folders, downloading demographic rate schedules, starting simulations, and loading population and marriage result files.
License: GPL-3
Imports: Rcpp (>= 1.0.5), magrittr, dplyr, tidyr, utils
LinkingTo: Rcpp
Suggests: future, parallel, testthat (>= 3.0.0)
URL: https://github.com/MPIDR/rsocsim, https://mpidr.github.io/rsocsim/
BugReports: https://github.com/MPIDR/rsocsim/issues
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-06-01 06:20:57 UTC; Theile
Author: Tom Theile [aut, cre, cph] , Diego Alburez-Gutierrez [aut] , Mallika Snyder [aut], Liliana P. Calderon-Bernal [aut]
Repository: CRAN
Date/Publication: 2026-06-05 15:00:02 UTC

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Package Rrepest updated to version 1.6.13 with previous version 1.6.12 dated 2026-04-03

Title: An Analyzer of International Large Scale Assessments in Education
Description: An easy way to analyze international large-scale assessments and surveys in education or any other dataset that includes replicated weights (Balanced Repeated Replication (BRR) weights, Jackknife replicate weights,...) while also allowing for analysis with multiply imputed variables (plausible values). It supports the estimation of univariate statistics (e.g. mean, variance, standard deviation, quantiles), frequencies, correlation, linear regression and any other model already implemented in R that takes a data frame and weights as parameters. It also includes options to prepare the results for publication, following the table formatting standards of the Organization for Economic Cooperation and Development (OECD).
Author: Rodolfo Ilizaliturri [aut, cre], Francesco Avvisati [aut], Francois Keslair [aut]
Maintainer: Rodolfo Ilizaliturri <rodolfo.ilizaliturri@oecd.org>

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New package RiskyCNV with initial version 0.1.0
Package: RiskyCNV
Title: Risk Analysis of Genomic Copy Number Variation
Version: 0.1.0
Description: Provides a complete seven-step workflow for copy number variation (CNV) analysis applicable to any disease or condition where samples with genomic copy number data is available. Supports built-in grading and risk stratification presets for seven major cancers (viz. prostate, breast, colorectal, lung, cervical, lymphoma, melanoma) based on clinically validated systems including ISUP Grade Groups, Nottingham Grading System, Dukes staging, IASLC TNM, FIGO, Ann Arbor/Lugano classification, and Breslow depth. Generalizable to other disease types. An automatic mode derives a normalised Risk Score from the data using min-max normalisation and adaptive binning. Custom user-defined thresholds are supported for any other disease type. Downstream functions for CNV aberration detection, recurrence analysis, gene annotation, CNV matrix generation, and CNV-RNA expression correlation are disease-type agnostic.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, GenomicRanges, rlang, S4Vectors, stats, tidyr, tools, utils
Suggests: BiocManager, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-14 08:37:47 UTC; ida_titus
Author: Ashok Palaniappan [aut, cre] , Priyanka Ramesh [aut], Ida Titus [aut], Sangeetha Muthamilselvan [aut]
Maintainer: Ashok Palaniappan <apalania@scbt.sastra.edu>
Repository: CRAN
Date/Publication: 2026-06-05 15:00:17 UTC

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Package quadrupen updated to version 1.0-0 with previous version 0.2-13 dated 2025-10-09

Title: Sparse and Group Sparse Linear Models
Description: Fits the solution paths of classical sparse regression models with efficient active set algorithms by solving small sub-problems. Include LASSO, SCAD, MCP, (Sparse) Group-LASSO, Cooperative-LASSO, (Group) LAVA, (Generalized) Fused-Lasso and (Generalized) Elastic-Net. Also provides methods for model selection purpose (information criteria, cross-validation, stability selection).
Author: Julien Chiquet [aut, cre]
Maintainer: Julien Chiquet <julien.chiquet@inrae.fr>

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Package NNS updated to version 12.1 with previous version 12.0 dated 2026-04-10

Title: Nonlinear Nonparametric Statistics
Description: NNS (Nonlinear Nonparametric Statistics) leverages partial moments – the fundamental elements of variance that asymptotically approximate the area under f(x) – to provide a robust foundation for nonlinear analysis while maintaining linear equivalences. Designed for real-world data that violates symmetry, linearity, or distributional assumptions, NNS delivers a comprehensive suite of advanced statistical techniques, including: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modeling, Normalization, Stochastic superiority / dominance and Advanced Monte Carlo sampling. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995, Second edition: <https://ovvo-financial.github.io/NNS/book/>).
Author: Fred Viole [aut, cre], Roberto Spadim [ctb]
Maintainer: Fred Viole <ovvo.open.source@gmail.com>

Diff between NNS versions 12.0 dated 2026-04-10 and 12.1 dated 2026-06-05

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New package nlmixr2targets with initial version 0.1.0
Package: nlmixr2targets
Title: Targets for 'nlmixr2' Pipelines
Version: 0.1.0
Description: 'nlmixr2' often has long runtimes. A pipeline toolkit tailored to 'nlmixr2' workflows leverages 'targets' and 'nlmixr2' to ease reproducible workflows. 'nlmixr2targets' ensures minimal rework in model development with 'nlmixr2' and 'targets' by simplifying and standardizing models and datasets.
License: GPL (>= 2)
URL: https://nlmixr2.github.io/nlmixr2targets/
BugReports: https://github.com/nlmixr2/nlmixr2targets/issues
Depends: R (>= 4.1)
Imports: checkmate, digest, nlmixr2est, rxode2 (>= 2.0.14), targets
Suggests: covr, knitr, nlmixr2data, rmarkdown, spelling, tarchetypes, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-05-31 20:45:01 UTC; bill
Author: Bill Denney [aut, cre]
Maintainer: Bill Denney <wdenney@humanpredictions.com>
Repository: CRAN
Date/Publication: 2026-06-05 14:40:11 UTC

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New package NeutroIBDAnalysis with initial version 0.1.1
Package: NeutroIBDAnalysis
Title: Neutrosophic Analysis of Incomplete Block Designs
Version: 0.1.1
Maintainer: Vinaykumar L.N. <vinaymandya123@gmail.com>
Description: Provides methods for neutrosophic analysis of variance (NANOVA) and neutrosophic analysis of covariance (NANCOVA) for interval-valued data arising from incomplete block design experiments. The package supports balanced incomplete block designs (BIBDs), partially balanced incomplete block designs (PBIBDs), and lattice designs. Functions are included for treatment comparisons, least significant difference (LSD) tests, and interval-based statistical inference under neutrosophic environments.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: MASS, stats
NeedsCompilation: no
Packaged: 2026-06-01 04:29:26 UTC; admin
Author: Neethu R.S. [aut, ctb], Cini Varghese [aut, ctb], Mohd Harun [aut, ctb], Anindita Datta [aut, ctb], Vinaykumar L.N. [aut, cre]
Repository: CRAN
Date/Publication: 2026-06-05 14:50:06 UTC

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New package GeoDensityR with initial version 0.1.2
Package: GeoDensityR
Title: Generate Density Rasters from Polygon and Census Data
Version: 0.1.2
Description: Creates density rasters from polygon vector data and tabular census or survey data. The package joins polygon boundaries with attribute data, calculates densities, rasterizes outputs, and exports ASCII Grid or GeoTiff rasters. Methods are based on spatial rasterization workflows implemented in the 'terra' package Hijmans (2025) <https://rspatial.github.io/terra/>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: terra
Suggests: testthat, knitr, rmarkdown
URL: https://github.com/sahalpaladan/GeoDensityR
BugReports: https://github.com/sahalpaladan/GeoDensityR/issues
NeedsCompilation: no
Packaged: 2026-06-01 07:30:55 UTC; dell
Author: Sahal Paladan [aut, cre]
Maintainer: Sahal Paladan <sahalpaladan@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-05 15:00:22 UTC

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New package ensembleML with initial version 0.2.5
Package: ensembleML
Title: Unified Interface for Ensemble Machine Learning Methods
Version: 0.2.5
Date: 2026-05-20
Description: Provides a clean, unified interface for training, predicting, and evaluating ensemble machine learning models including Random Forest, Gradient Boosting ('XGBoost'), 'AdaBoost', and 'Bagging'. All algorithms share a consistent API: em_fit(), em_predict(), em_evaluate(), and em_tune(). Includes built-in cross-validation, feature importance, calibration diagnostics, partial dependence plots, and model comparison utilities. Methods: Breiman (2001) <doi:10.1023/A:1010933404324>; Chen and Guestrin (2016) <doi:10.1145/2939672.2939785>; Freund and Schapire (1997) <doi:10.1006/jcss.1997.1504>; Breiman (1996) <doi:10.1007/BF00058655>.
Language: en-US
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: randomForest (>= 4.7-1), xgboost (>= 1.7.0), adabag (>= 4.2), ggplot2 (>= 3.4.0), rlang (>= 1.1.0), stats, utils
Suggests: pROC (>= 1.18.0), gridExtra (>= 2.3), testthat (>= 3.0.0), knitr, rmarkdown, mlbench
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-01 07:29:28 UTC; acer
Author: Sadikul Islam [aut, cre]
Maintainer: Sadikul Islam <sadikul.islamiasri@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-05 15:00:07 UTC

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New package csbewma with initial version 1.0.1
Package: csbewma
Title: Cumulative Standardized Binomial EWMA for Multiple Stream Processes
Version: 1.0.1
Author: Faruk Muritala [aut, cre], Austin Brown [aut], Dhrubajyoti Ghosh [aut], Sherry Ni [aut]
Maintainer: Faruk Muritala <fmurital@students.kennesaw.edu>
Description: Implements the Cumulative Standardized Binomial Exponentially Weighted Moving Average (CSB-EWMA) control chart for monitoring multiple independent streams with binomial outcomes. Provides exact variance calculations, adaptive control limits, post-hoc identification with multiple testing corrections (Bonferroni, Holm, Benjamini-Hochberg), and visualization tools. The method is described in Muritala et al. (2026) <doi:10.48550/arXiv.2601.09968>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: ggplot2, stats, patchwork
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-06-01 03:15:42 UTC; fmurital
Repository: CRAN
Date/Publication: 2026-06-05 14:50:02 UTC

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New package betaStability with initial version 0.0.4
Package: betaStability
Title: Quantify the Compositional Stability of Each Community Based on a Single Sampling Event
Version: 0.0.4
Description: Quantify the stability of each community based on the beta diversity between communities gathered in a single sampling event rather than a series of continuous sampling activities.
URL: https://github.com/gaoyu19920914/betaStability/
BugReports: https://github.com/gaoyu19920914/betaStability/issues/
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Imports: BBmisc, gdm, ggplot2, glmnet, mgcv, randomForest, reshape2, stats, usedist, vegan, xgboost
Suggests: BiocManager, knitr, rioja, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-06-01 07:50:05 UTC; gaoyu
Author: Yu Gao [aut, cre, cph, fnd]
Maintainer: Yu Gao <gaoyu19920914@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-05 15:00:12 UTC

More information about betaStability at CRAN
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Package scModels readmission to version 1.0.5 with previous version 1.0.4 dated 2023-01-24

Title: Fitting Discrete Distribution Models to Count Data
Description: Provides functions for fitting discrete distribution models to count data. Included are the Poisson, the negative binomial, the Poisson-inverse gaussian and, most importantly, a new implementation of the Poisson-beta distribution (density, distribution and quantile functions, and random number generator) together with a needed new implementation of Kummer's function (also: confluent hypergeometric function of the first kind). Three different implementations of the Gillespie algorithm allow data simulation based on the basic, switching or bursting mRNA generating processes. Moreover, likelihood functions for four variants of each of the three aforementioned distributions are also available. The variants include one population and two population mixtures, both with and without zero-inflation. The package depends on the 'MPFR' libraries (<https://www.mpfr.org/>) which need to be installed separately (see description at <https://github.com/fuchslab/scModels>). This package is s [...truncated...]
Author: Lisa Amrhein [aut] , Kumar Harsha [aut, cre] , Christiane Fuchs [aut] , Pavel Holoborodko [ctb]
Maintainer: Kumar Harsha <kumarharsha.0292@gmail.com>

This is a re-admission after prior archival of version 1.0.4 dated 2023-01-24

Diff between scModels versions 1.0.4 dated 2023-01-24 and 1.0.5 dated 2026-06-05

 DESCRIPTION                                    |   25 
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Package primer readmission to version 1.2.1 with previous version 1.2.0 dated 2021-01-06

Title: Functions and Data for the Book, a Primer of Ecology with R
Description: Provides data and functions for "A Primer of Ecology with R" by M. Henry H. Stevens (2009) <doi:10.1007/978-0-387-89882-7>.
Author: M. Henry H. Stevens [aut, cre]
Maintainer: M. Henry H. Stevens <hank.stevens@miamioh.edu>

This is a re-admission after prior archival of version 1.2.0 dated 2021-01-06

Diff between primer versions 1.2.0 dated 2021-01-06 and 1.2.1 dated 2026-06-05

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Package WMAP updated to version 1.3.0 with previous version 1.2.0 dated 2025-06-17

Title: Weighted Meta-Analysis with Pseudo-Populations
Description: Implementation of integrative weighting approaches for multiple observational studies and causal inferences. The package features three weighting approaches, each representing a special case of the unified weighting framework, introduced by Guha and Li (2024) <doi:10.1093/biomtc/ujae070>, which includes an extension of inverse probability weights for data integration settings.
Author: Subharup Guha [aut, cre], Mengqi Xu [aut], Chayce Reed [aut], Kashish Priyam [aut], Yi Li [aut]
Maintainer: Subharup Guha <Subharup.Guha@dartmouth.edu>

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Package treeclim updated to version 2.0.8.0 with previous version 2.0.7.1 dated 2024-12-16

Title: Numerical Calibration of Proxy-Climate Relationships
Description: Bootstrapped response and correlation functions, seasonal correlations and evaluation of reconstruction skills for use in dendroclimatology and dendroecology, see Zang and Biondi (2015) <doi:10.1111/ecog.01335>.
Author: Christian Zang [aut, cre, cph, trl], Franco Biondi [ctb, cph]
Maintainer: Christian Zang <christian.zang@hswt.de>

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Package qcluster updated to version 2.0.1 with previous version 2.0.0 dated 2026-04-13

Title: Clustering via Quadratic Scoring
Description: Performs tuning of clustering models, methods and algorithms including the problem of determining an appropriate number of clusters. Validation of cluster analysis results is performed via quadratic scoring using resampling methods, as in Coraggio, L. and Coretto, P. (2023) <doi:10.1016/j.jmva.2023.105181>.
Author: Luca Coraggio [cre, aut] , Pietro Coretto [aut]
Maintainer: Luca Coraggio <luca.coraggio@unina.it>

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Package goodpractice updated to version 1.1.0 with previous version 1.0.5 dated 2024-06-04

Title: Advice on R Package Building
Description: Give advice about good practices when building R packages. Advice includes functions and syntax to avoid, package structure, code complexity, code formatting, etc.
Author: Mark Padgham [aut, cre] , Ascent Digital Services UK Limited [cph] , Karina Marks [aut] , Daniel de Bortoli [aut] , Gabor Csardi [aut], Hannah Frick [aut], Owen Jones [aut] , Hannah Alexander [aut], Ana Simmons [ctb] , Fabian Scheipl [ctb] , Athanasi [...truncated...]
Maintainer: Mark Padgham <mark@ropensci.org>

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Package ggforestplotR updated to version 0.2.2 with previous version 0.2.1 dated 2026-05-29

Title: Publication-Ready Forest Plots with 'ggplot2'
Description: Transform model coefficients into flexible forest plots using 'ggplot2'. Provides helpers to standardize coefficient data from a range of modelling workflows and render publication-ready forest plots with a consistent interface.
Author: Carson Richardson [aut, cre, cph]
Maintainer: Carson Richardson <carson.richardson@outlook.com>

Diff between ggforestplotR versions 0.2.1 dated 2026-05-29 and 0.2.2 dated 2026-06-05

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Package CompositionalClust updated to version 1.3 with previous version 1.2 dated 2025-11-03

Title: Clustering with Compositional Data
Description: Cluster analysis with compositional data using the alpha--transformation. Relevant papers include: Tsagris M. and Kontemeniotis N. (2025). Lobachevskii Journal of Mathematics <doi:10.1134/S1995080225613700>. Tsagris M.T., Preston S. and Wood A.T.A. (2011), <doi:10.48550/arXiv.1106.1451>. Garcia-Escudero Luis A., Gordaliza Alfonso, Matran Carlos, Mayo-Iscar Agustin. (2008), <doi:10.1214/07-AOS515>.
Author: Michail Tsagris [aut, cre], Nikolaos Kontemeniotis [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package callr updated to version 3.8.0 with previous version 3.7.6 dated 2024-03-25

Title: Call R from R
Description: It is sometimes useful to perform a computation in a separate R process, without affecting the current R process at all. This packages does exactly that.
Author: Gabor Csardi [aut, cre, cph] , Winston Chang [aut], Posit Software, PBC [cph, fnd] , Ascent Digital Services [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package AIGRA updated to version 0.1.2 with previous version 0.1.1 dated 2026-06-03

Title: Agentic Item Generation, Review, and Analysis
Description: Provides tools for validating, generating, reviewing, reporting, and visualising assessment item generation workflows. The package supports tabular item-bank templates, item-bank validation, 'Python'-backed agentic generation workflows, multimodal diagram generation, quality summaries, and 'HTML' reporting. External artificial intelligence services and related 'API' calls require user-supplied credentials and are not called during package checks. The workflow is informed by automatic item generation methods described by Gierl and Haladyna (2013, ISBN:9780415897518) and evidence-centered assessment design described by Mislevy et al. (2003) <doi:10.1002/j.2333-8504.2003.tb01908.x>.
Author: Moses O. Omopekunola [aut, cre]
Maintainer: Moses O. Omopekunola <omopekunola.m@hse.ru>

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Package PRECAST updated to version 1.9 with previous version 1.8 dated 2025-12-15

Title: Embedding and Clustering with Alignment for Spatial Omics Datasets
Description: An efficient data integration method is provided for multiple spatial transcriptomics data with non-cluster-relevant effects such as the complex batch effects. It unifies spatial factor analysis simultaneously with spatial clustering and embedding alignment, requiring only partially shared cell/domain clusters across datasets. More details can be referred to Wei Liu, et al. (2023) <doi:10.1038/s41467-023-35947-w>.
Author: Wei Liu [aut, cre], Yi Yang [aut], Jin Liu [aut]
Maintainer: Wei Liu <liuweideng@gmail.com>

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Package aggregation updated to version 1.0.2 with previous version 1.0.1 dated 2018-01-25

Title: p-Value Aggregation Methods
Description: Contains functionality for performing the following methods of p-value aggregation: Fisher's method [Fisher, RA (1932, ISBN: 9780028447308)], the Lancaster method (weighted Fisher's method) [Lancaster, HO (1961, <doi:10.1111/j.1467-842X.1961.tb00058.x>)], and Sidak correction [Sidak, Z (1967, <doi:10.1080/01621459.1967.10482935>)]. Please cite Yi et al., the manuscript corresponding to this package [Yi, L et al., (2017), <doi:10.1101/190199>].
Author: Lynn Yi [aut], Lior Pachter [aut], Elise Maigne [cre]
Maintainer: Elise Maigne <elise.maigne@inrae.fr>

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Package tongfen updated to version 0.3.7 with previous version 0.3.6 dated 2025-05-01

Title: Make Data Based on Different Geographies Comparable
Description: Several functions to allow comparisons of data across different geographies, in particular for Canadian census data from different censuses.
Author: Jens von Bergmann [aut, cre]
Maintainer: Jens von Bergmann <jens@mountainmath.ca>

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Package sglg updated to version 0.2.7 with previous version 0.2.6 dated 2026-01-14

Title: Fitting Semi-Parametric Generalized log-Gamma Regression Models
Description: Set of tools to fit a linear multiple or semi-parametric regression models with the possibility of non-informative random right or left censoring. Under this setup, the localization parameter of the response variable distribution is modeled by using linear multiple regression or semi-parametric functions, whose non-parametric components may be approximated by natural cubic spline or P-splines. The supported distribution for the model error is a generalized log-gamma distribution which includes the generalized extreme value and standard normal distributions as important special cases. Inference is based on likelihood, penalized likelihood and bootstrap methods. Lastly, some numerical and graphical devices for diagnostic of the fitted models are offered.
Author: Carlos Alberto Cardozo Delgado [aut, cre, cph] , Gilberto Paula [aut], Luis Vanegas [aut]
Maintainer: Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com>

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Package KRLS updated to version 1.7-0 with previous version 1.1-0 dated 2026-04-30

Title: Kernel-Based Regularized Least Squares
Description: Implements Kernel-based Regularized Least Squares (KRLS), a machine learning method to fit multidimensional functions y = f(x) for regression and classification problems without relying on linearity or additivity assumptions. KRLS finds the best fitting function by minimizing the squared loss of a Tikhonov regularization problem, using Gaussian kernels as radial basis functions. For further details see Hainmueller and Hazlett (2014, <doi:10.1093/pan/mpt019>).
Author: Jens Hainmueller [aut, cre], Chad Hazlett [aut]
Maintainer: Jens Hainmueller <jhain@stanford.edu>

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Package ezTrack updated to version 0.1.1 with previous version 0.1.0 dated 2025-09-16

Title: Tools for Exploring Animal Movement Data
Description: Provides tools for exploring animal tracking data, from raw telemetry points to summaries, interactive maps, and home range estimates. It is designed to be beginner-friendly and requires minimal data wrangling.
Author: Taylor Craft [aut, cre]
Maintainer: Taylor Craft <taylor.craft.mail@gmail.com>

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Package eventPred updated to version 0.3.0 with previous version 0.2.9 dated 2025-06-10

Title: Event Prediction
Description: Predicts enrollment and events at the design or analysis stage using specified enrollment and time-to-event models through simulations.
Author: Kaifeng Lu [aut, cre]
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>

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Package CCMnet updated to version 1.1.1 with previous version 1.1.0 dated 2026-05-25

Title: Congruence Class Models for Networks
Description: Provides an implementation of Congruence Class Models (CCMs) for generating networks. For additional details on CCMs see Goyal, Blitzstein, and De Gruttola (2014) <doi:10.1017/nws.2014.2> and Goyal, De Gruttola, Martin, Rennert, and Onnela <doi:10.48550/arXiv.2603.02467>. 'ccmnet' facilitates sampling networks based on specific topological properties and attribute mixing patterns using a Markov Chain Monte Carlo framework. The implementation builds upon code from the 'ergm' package; see Handcock, Hunter, Butts, Goodreau, and Morris (2008) <doi:10.18637/jss.v024.i01>.
Author: Ravi Goyal [aut, cre], Statnet Development Team [ctb, cph]
Maintainer: Ravi Goyal <ravi.j.goyal@gmail.com>

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Package bvhar updated to version 2.4.1 with previous version 2.4.0 dated 2026-02-01

Title: Bayesian Vector Heterogeneous Autoregressive Modeling
Description: Tools to model and forecast multivariate time series including Bayesian Vector heterogeneous autoregressive (VHAR) model by Kim & Baek (2023) (<doi:10.1080/00949655.2023.2281644>). 'bvhar' can model Vector Autoregressive (VAR), VHAR, Bayesian VAR (BVAR), and Bayesian VHAR (BVHAR) models.
Author: Young Geun Kim [aut, cre, cph] , Changryong Baek [ctb]
Maintainer: Young Geun Kim <ygeunkimstat@gmail.com>

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Package bmm updated to version 1.3.1 with previous version 1.3.0 dated 2026-03-30

Title: Easy and Accessible Bayesian Measurement Models Using 'brms'
Description: Fit computational and measurement models using full Bayesian inference. The package provides a simple and accessible interface by translating complex domain-specific models into 'brms' syntax, a powerful and flexible framework for fitting Bayesian regression models using 'Stan'. The package is designed so that users can easily apply state-of-the-art models in various research fields, and so that researchers can use it as a new model development framework. References: Frischkorn and Popov (2025) <doi:10.3758/s13428-025-02643-0>.
Author: Vencislav Popov [aut, cre, cph] , Gidon T. Frischkorn [aut, cph] , Chenyu Li [ctb], Paul-Christian Buerkner [cph]
Maintainer: Vencislav Popov <vencislav.popov@gmail.com>

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Package tipmap updated to version 1.0.1 with previous version 1.0.0 dated 2026-05-27

Title: Tipping Point Analysis for Bayesian Dynamic Borrowing
Description: Tipping point analysis for clinical trials that employ Bayesian dynamic borrowing via robust meta-analytic predictive (MAP) priors. Further functions facilitate expert elicitation of a primary weight of the informative component of the robust MAP prior and computation of operating characteristics. Intended use is the planning, analysis and interpretation of extrapolation studies in pediatric drug development, but applicability is generally wider.
Author: Christian Stock [aut, cre] , Morten Dreher [aut], Lars Andersen [aut], Emma Torrini [ctb], Boehringer Ingelheim Pharma GmbH & Co. KG [cph, fnd]
Maintainer: Christian Stock <christian.stock@boehringer-ingelheim.com>

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Package quincunx readmission to version 0.2.0 with previous version 0.1.10 dated 2025-05-31

Title: REST API Client for the 'PGS' Catalog
Description: Programmatic access to the 'PGS' Catalog. This package provides easy access to 'PGS' Catalog data by accessing the REST API <https://www.pgscatalog.org/rest/>.
Author: Ramiro Magno [aut, cre] , Isabel Duarte [aut] , Ana-Teresa Maia [aut] , Rise Health [cph, fnd], Pattern Institute [cph, fnd] , Acuity Analytics [cph, fnd]
Maintainer: Ramiro Magno <ramiro.morgado@acuityanalytics.com>

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Package papaja updated to version 0.1.5 with previous version 0.1.4 dated 2025-09-26

Title: Prepare American Psychological Association Journal Articles with R Markdown
Description: Tools to create dynamic, submission-ready manuscripts, which conform to American Psychological Association manuscript guidelines. We provide R Markdown document formats for manuscripts (PDF and Word) and revision letters (PDF). Helper functions facilitate reporting statistical analyses or create publication-ready tables and plots.
Author: Frederik Aust [aut, cre] , Marius Barth [aut] , Birk Diedenhofen [ctb], Christoph Stahl [ctb], Joseph V. Casillas [ctb], Rudolf Siegel [ctb]
Maintainer: Frederik Aust <frederik.aust@uni-koeln.de>

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Package mumarinex updated to version 2.0 with previous version 1.0 dated 2025-10-14

Title: Computation of the Multivariate Marine Recovery Index
Description: Computation of the multivariate marine recovery index, including functions for data visualization and ecological diagnostics of marine ecosystems. The computational details are described in the original publication. Reference: Chauvel, N., Grall, J., Thiébaut, E., Houbin, C., Pezy, J.-P., 2026. A general-purpose multivariate marine recovery index (MUMARINEX) for quantifying the influence of human activities on benthic habitat ecological status. Ecological Indicators 188, 115002.
Author: Nathan Chauvel [aut, cre]
Maintainer: Nathan Chauvel <nathan.chauvel@outlook.fr>

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Package moewishart updated to version 1.2 with previous version 1.1 dated 2026-04-21

Title: Mixture-of-Experts Wishart Models for Covariance Data
Description: Methods for maximum likelihood and Bayesian estimation for the Wishart mixture model and the mixture-of-experts Wishart (MoE-Wishart) model. The package provides four inference algorithms for these models, each implemented using the expectation–maximization (EM) algorithm for maximum likelihood estimation and a fully Bayesian approach via Gibbs-within-Metropolis–Hastings sampling.
Author: The Tien Mai [aut], Zhi Zhao [aut, cre]
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>

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Package ivolcano updated to version 0.0.6 with previous version 0.0.5 dated 2026-02-14

Title: Interactive Volcano Plot
Description: Generate interactive volcano plots for exploring gene expression data. Built with 'ggplot2', the plots are rendered interactive using 'ggiraph', enabling users to hover over points to display detailed information or click to trigger custom actions.
Author: Guangchuang Yu [aut, cre, cph]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package cvms updated to version 2.0.1 with previous version 2.0.0 dated 2025-11-10

Title: Cross-Validation for Model Selection
Description: Cross-validate one or multiple regression and classification models and get relevant evaluation metrics in a tidy format. Validate the best model on a test set and compare it to a baseline evaluation. Alternatively, evaluate predictions from an external model. Currently supports regression and classification (binary and multiclass). Described in chp. 5 of Jeyaraman, B. P., Olsen, L. R., & Wambugu M. (2019, ISBN: 9781838550134).
Author: Ludvig Renbo Olsen [aut, cre] , Hugh Benjamin Zachariae [aut], Indrajeet Patil [ctb] , Daniel Luedecke [ctb]
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>

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Package candisc updated to version 1.1.1 with previous version 1.1.0 dated 2025-11-25

Title: Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis
Description: Functions for computing and visualizing generalized canonical discriminant analyses and canonical correlation analysis for a multivariate linear model. Traditional canonical discriminant analysis is restricted to a one-way 'MANOVA' design and is equivalent to canonical correlation analysis between a set of quantitative response variables and a set of dummy variables coded from the factor variable. The 'candisc' package generalizes this to higher-way 'MANOVA' designs for all factors in a multivariate linear model, computing canonical scores and vectors for each term. The graphic functions provide low-rank (1D, 2D, 3D) visualizations of terms in an 'mlm' via the 'plot.candisc' and 'heplot.candisc' methods. Related plots are now provided for canonical correlation analysis when all predictors are quantitative. Methods for linear discriminant analysis are now included.
Author: Michael Friendly [aut, cre] , John Fox [aut]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package bayespmtools updated to version 0.0.2 with previous version 0.0.1 dated 2026-03-29

Title: Bayesian Sample Size and Precision Considerations for Risk Prediction Models
Description: Performs Bayesian sample size, precision, and value-of-information analysis for external validation of existing multi-variable prediction models using the approach proposed by Sadatsafavi and colleagues (2026) <doi:10.1002/sim.70389>.
Author: Mohsen Sadatsafavi [aut, cre] , Anna Luo [ctb]
Maintainer: Mohsen Sadatsafavi <mohsen.sadatsafavi@ubc.ca>

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