Thu, 20 Aug 2026

Package SynergyLMM updated to version 1.1.4 with previous version 1.1.3 dated 2026-05-12

Title: Statistical Framework for in Vivo Drug Combination Studies
Description: A framework for evaluating drug combination effects in preclinical in vivo studies. 'SynergyLMM' provides functions to analyze longitudinal tumor growth experiments using mixed-effects models, perform time-resolved analyses of synergy and antagonism, evaluate model diagnostics and performance, and assess both post-hoc and a priori statistical power. The calculation of drug combination synergy follows the statistical framework provided by Demidenko and Miller (2019, <doi:10.1371/journal.pone.0224137>). The implementation and analysis of linear mixed-effect models is based on the methods described by Pinheiro and Bates (2000, <doi:10.1007/b98882>), and Gałecki and Burzykowski (2013, <doi:10.1007/978-1-4614-3900-4>).
Author: Rafael Romero-Becerra [aut, cre] , Zhi Zhao [ctb], Tero Aittokallio [ctb]
Maintainer: Rafael Romero-Becerra <rafrombec@gmail.com>

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Package surveyframe updated to version 0.4.0 with previous version 0.3.4 dated 2026-07-24

Title: Survey Instrument Workflows
Description: Supports survey research workflows built around a typed instrument object (the sframe). Features include visual instrument design via a browser-based builder or 'Shiny' studio, export to a self-contained static HTML survey, an embeddable 'Shiny' module, SHA-256 integrity-checked serialisation to the '.sframe' format, multi-page survey rendering, branching logic, response quality checking, scale scoring, psychometric diagnostics, analysis-plan execution, model syntax planning, an interactive response dashboard, codebook generation, and reproducible HTML reporting. This release adds three capability themes: multi-criteria decision analysis (AHP, ANP, DEMATEL, TOPSIS, VIKOR, MOORA, SMART, WASPAS, PROMETHEE II, ELECTRE I), small-sample survey helpers, and text and open-ended response analysis (term and n-gram frequency, keyword in context, co-occurrence and co-occurrence networks, sentiment, document-feature matrices, and topic modelling via LDA or structural topic models).
Author: Mohammed Ali Sharafuddin [aut, cre]
Maintainer: Mohammed Ali Sharafuddin <mohammedali.page@gmail.com>

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Package RobustLPA updated to version 1.0.0 with previous version 0.1.0 dated 2026-07-05

Title: Robust Latent Profile Analysis
Description: Provides a comprehensive toolset for estimating Latent Profile Analysis (LPA) models that are robust to multivariate outliers and missing data. By integrating a high-performance 'C++' engine via 'RcppArmadillo', it reliably extracts latent profiles using both Expectation-Maximization (EM) and Markov Chain Monte Carlo (MCMC) Bayesian estimation. The EM engine implements a Full Information Maximum Likelihood (FIML) approach, Huber weighting, and LASSO regularization with k-fold cross-validation for optimal penalty tuning. The MCMC engine utilizes a Bayesian Lasso approach with Laplace priors, the same Huber down-weighting available in the EM engine, multiple chains (4 by default), and classic Gelman-Rubin/effective sample size convergence diagnostics. It supports multiple geometric variance-covariance models, along with functions for bootstrapped likelihood ratio tests (BLRT), BCH auxiliary variable analysis, and plotting. For methodological details on the Bootstrapped Likelihood Ratio T [...truncated...]
Author: Valerio Riccardo Aquila [aut, cre]
Maintainer: Valerio Riccardo Aquila <valerio_aquila@hotmail.it>

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Package RNifti updated to version 1.10.0 with previous version 1.9.0 dated 2026-01-13

Title: Fast R and C++ Access to NIfTI Images
Description: Provides very fast read and write access to images stored in the NIfTI-1, NIfTI-2 and ANALYZE-7.5 formats, with seamless synchronisation of in-memory image objects between compiled C and interpreted R code. Also provides a simple image viewer, and a C/C++ API that can be used by other packages. Not to be confused with 'RNiftyReg', which performs image registration and applies spatial transformations.
Author: Jon Clayden [cre, aut] , Bob Cox [aut], Mark Jenkinson [aut], Matt Hall [ctb], Rick Reynolds [ctb], Kate Fissell [ctb], Jean-loup Gailly [cph], Mark Adler [cph]
Maintainer: Jon Clayden <code@clayden.org>

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Package RCtest updated to version 1.1 with previous version 1.0 dated 2026-06-02

Title: Reality Check and Predictive Ability Tests for Forecast Evaluation
Description: Implements a comprehensive suite of statistical tests for evaluating the accuracy of forecasting models against a benchmark. The package is grounded in the reality check framework of White (2000) <doi:10.1111/1468-0262.00152>, extended by Hansen (2005) <doi:10.1198/073500105000000063> for Superior Predictive Ability (SPA), Giacomini & White (2006) <doi:10.1111/j.1468-0262.2006.00718.x> for Conditional Predictive Ability (CPA), and Corradi & Swanson (2006) <doi:10.1016/j.jeconom.2005.07.026> for predictive density evaluation via the Kullback-Leibler Information Criterion (KLIC) and ZP Quantile Loss test, the Continuous Ranked Probability Score (CRPS) (Gneiting & Raftery, 2007) <doi:10.1198/016214506000001437>, coverage tests (Kupiec, 1995) <doi:10.3905/jod.1995.407942>, HAC covariance estimation (Newey & West, 1987) <doi:10.2307/1913610>, and Moving Block Bootstrap resampling (Kunsch, 1989) <doi:10.1214/aos/1176347265>.
Author: Joanna Jedrzejewska [aut, cre] , Krzysztof Drachal [ctb]
Maintainer: Joanna Jedrzejewska <j.jedrzejewska3@uw.edu.pl>

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Package prova updated to version 2.3.0 with previous version 1.0.0 dated 2026-07-16

Title: Nonparametric Probabilistic-Statistical Variate Analysis
Description: Calculate posterior joint and conditional probabilities, probability distributions of population frequencies, information-theoretic measures, and expected utilities, by means of Bayesian nonparametrics. Data can be any combination of nominal, ordinal, continuous, censored, rounded types. Data imputation is automatic and done in a principled way. Markov-chain Monte Carlo calculations are automatically handled and do not require user supervision. Applications range from statistical estimation and probabilistic hypothesis testing to evidence-based inference and decision making, in a wide range of disciplines from astrophysics to medicine. For more details and examples see for instance Porta Mana & al. (2026) <doi:10.31219/osf.io/8nr56>, Dunson & Bhattacharya (2011) <doi:10.1093/acprof:oso/9780199694587.003.0005>, Lindley & Novick (1981) <doi:10.1214/aos/1176345331>, Bernardo & Smith (2000) <doi:10.1002/9780470316870>, Müller et al. (2015) <doi:10 [...truncated...]
Author: PierGianLuca Porta Mana [aut, cre, cph] , Aurora Grefsrud [ctb] , Hakon Mydland [ctb] , Maksim Ohvrill [ctb], Simen Hesthamar Hauge [ctb]
Maintainer: PierGianLuca Porta Mana <pgl@portamana.org>

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Package glmMisrep updated to version 0.1.2 with previous version 0.1.1 dated 2024-04-18

Title: Generalized Linear Models Adjusting for Misrepresentation
Description: Fit Generalized Linear Models to continuous and count outcomes, as well as estimate the prevalence of misrepresentation of an important binary predictor. Misrepresentation typically arises when there is an incentive for the binary factor to be misclassified in one direction (e.g., in insurance settings where policy holders may purposely deny a risk status in order to lower the insurance premium). This is accomplished by treating a subset of the response variable as resulting from a mixture distribution. Model parameters are estimated via the Expectation Maximization algorithm and standard errors of the estimates are obtained from closed forms of the Observed Fisher Information. For an introduction to the models and the misrepresentation framework, see Xia et. al., (2023) <https://variancejournal.org/article/73151-maximum-likelihood-approaches-to-misrepresentation-models-in-glm-ratemaking-model-comparisons>.
Author: Patrick Rafael [cre, aut], Xia Michelle [aut], Rexford Akakpo [aut]
Maintainer: Patrick Rafael <pbr2608@vt.edu>

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Package BIDistances updated to version 1.0.1 with previous version 1.0.0 dated 2026-08-19

Title: Bioinformatic Distances
Description: Provides a unified interface for computing, comparing, and examining distances, dissimilarities, divergences, and selected similarities for bioinformatics data. The core installation exposes 60 canonical named routes for numerical data and more than 90 when the suggested 'philentropy' backend is installed; aliases, user-defined functions, and mixed-data combinations are not included in these counts. Weighted Minkowski distances can be computed through 'parallelDist', an internal multicore implementation, or optional 'OpenCL' kernels, while the established weighted Euclidean GPU implementation is retained as the optimized p = 2 route. The package also supports theory-guided comparison of distance distributions for clustering, explicit mathematical property classifications, mixed-data constructions through 'manydist', and a specialized Gene Ontology-derived TF-IDF distance.
Author: Quirin Stier [aut, rev, ctb] , Michael Thrun [aut, cre] , Luca Brinkmann [ctb]
Maintainer: Michael Thrun <m.thrun@gmx.net>

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Package Argentum updated to version 2.1.0 with previous version 1.0.0 dated 2025-02-12

Title: Access Argentine WFS and WMS Geospatial Web Services
Description: Discovers and reads geospatial layers published by Argentine public organizations through the Open Geospatial Consortium standards Web Feature Service (WFS) and Web Map Service (WMS). Provides a cached catalogue of endpoints, capability parsing with version negotiation, paginated vector downloads returned as 'sf' objects, and raster map retrieval returned as 'terra' objects. For the underlying standards see <https://www.ogc.org/standards/wfs/> and <https://www.ogc.org/standards/wms/>.
Author: Thomas Artopoulos [aut, cre]
Maintainer: Thomas Artopoulos <thomas.artopoulos@gmail.com>

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Package agridatasets updated to version 0.1.1 with previous version 0.1.0 dated 2026-08-08

Title: A Comprehensive Collection of Agricultural and Agronomic Datasets
Description: Offers a rich and diverse collection of datasets focused on agriculture, agronomy, animal science, and related fields. The package includes experimental, observational, and field-trial data on crops such as rice, wheat, corn, soybean, cotton, coffee, avocado, and orange, as well as forestry species including bamboo, eucalyptus, and timber. Datasets cover plant breeding and genetics, factorial and randomized block experiments, herbicide and insecticide efficacy trials, pest and disease infestation, soil characteristics and land suitability, plant growth regulators, seed germination, and crop yield modeling. Additional datasets address animal science topics such as cattle insemination and conception, pig and broiler growth, lamb births, and toxicology studies on aquatic and non-target species. Data sources include peer-reviewed agronomic studies, uniformity and Latin square field trials, glasshouse experiments, and international agricultural surveys. Designed for agronomists, researchers [...truncated...]
Author: Renzo Caceres Rossi [aut, cre] , Prabhanjan Tattar [ctb] , A.P. Gore [ctb] , S.A. Paranjape [ctb] , M.B. Kulkarni [ctb] , Gabriel Danilo Shimizu [ctb] , Rodrigo Yudi Palhaci Marubayashi [ctb] , Leandro Simoes Azeredo Goncalves [ctb] , Al-Ahmadgaid B. [...truncated...]
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>

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Package TransHDM updated to version 1.1.3 with previous version 1.0.1 dated 2026-03-17

Title: High-Dimensional Mediation Analysis via Transfer Learning
Description: Provides a framework for high-dimensional mediation analysis using transfer learning. The main function TransHDM() integrates large-scale source data to improve the detection power of potential mediators in small-sample target studies. It addresses data heterogeneity via transfer regularization and debiased estimation while controlling the false discovery rate. The package also includes utilities for data generation (gen_simData_homo(), gen_simData_hetero()), baseline methods such as lasso() and dblasso(), sure independence screening via SIS(), and model diagnostics through source_detection(). The methodology is described in Pan et al. (2025) <doi:10.1093/bib/bbaf460>.
Author: Huer Gao [aut, cre, cph], Lulu Pan [aut, cph], Yongfu Yu [ctb, cph], Guoyou Qin [ctb, cph]
Maintainer: Huer Gao <26111020050@m.fudan.edu.cn>

Diff between TransHDM versions 1.0.1 dated 2026-03-17 and 1.1.3 dated 2026-08-20

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Package rjd3xjars updated to version 0.1.2 with previous version 0.1.1 dated 2026-07-08

Title: Interface to 'JDemetra+ 3.x' Time Series Analysis Software
Description: R Interface to 'JDemetra+ 3.x' (<https://github.com/jdemetra>) time series analysis software. It provides functions allowing to decompose a time series, including high-frequency data with multiple periodicities.
Author: Jean Palate [aut], Tanguy Barthelemy [aut, cre, cph]
Maintainer: Tanguy Barthelemy <timeserieswithjdemetraandr@gmail.com>

Diff between rjd3xjars versions 0.1.1 dated 2026-07-08 and 0.1.2 dated 2026-08-20

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Package admiralneuro updated to version 0.3.0 with previous version 0.2.0 dated 2026-02-04

Title: Neuroscience Extension Package for ADaM in 'R' Asset Library
Description: Programming neuroscience specific Clinical Data Standards Interchange Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in 'R'. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam>). This package extends the 'admiral' package.
Author: Jian Wang [aut] , Meilin Jiang [aut, cre] , Miles Almond [aut] , Xiao Chen [aut] , Fanny Gautier [aut] , Gayatri G. [aut], Leena Khatri [aut] , Edoardo Mancini [aut] , Eric Nantz [aut], Lina Patil [aut], Chris Pelentrides [aut], Katie Withycombe [aut [...truncated...]
Maintainer: Meilin Jiang <meilin.jiang@lilly.com>

Diff between admiralneuro versions 0.2.0 dated 2026-02-04 and 0.3.0 dated 2026-08-20

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New package ivdtools with initial version 0.1.2
Package: ivdtools
Title: Statistical Tools for Evaluation of in Vitro Diagnostic Reagents
Version: 0.1.2
Description: Provides statistical workflows used in the evaluation of in vitro diagnostic reagents. Facilities include method comparison and Bland-Altman analysis, receiver operating characteristic analysis, qualitative agreement, precision and variance-component analysis, reference intervals, stability studies, quality-control charts, curve fitting, analytical sensitivity, outlier and normality assessment, and sample-size calculations. For methodological details, see Bland and Altman (1986) <doi:10.1016/S0140-6736(86)90837-8>, Passing and Bablok (1983) <doi:10.1515/cclm.1983.21.11.709>, Linnet (1993) <doi:10.1093/clinchem/39.3.424>, Hanley and McNeil (1982) <doi:10.1148/radiology.143.1.7063747>, Horn et al. (1998) <doi:10.1093/clinchem/44.3.622>, Westgard et al. (1981) <doi:10.1093/clinchem/27.3.493>, and Lu et al. (2016) <doi:10.1515/ijb-2015-0039>.
License: MIT + file LICENSE
URL: https://github.com/hiox-tech/ivdtools
BugReports: https://github.com/hiox-tech/ivdtools/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2, ggrepel, minpack.lm, nloptr, nls2, nortest, rlang, stats, utils, VCA, VFP
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-19 14:34:51 UTC; zhangkai
Author: hiox-tech [cph, aut, cre]
Maintainer: hiox-tech <GeorgeBinDragon@outlook.com>
Repository: CRAN
Date/Publication: 2026-08-20 17:00:02 UTC

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New package dgraphs with initial version 0.1.0
Package: dgraphs
Title: Data-Derived Graph Construction Utilities
Version: 0.1.0
Description: Constructs data-derived graphs from numerical observations using mutual, shared-neighbor, intersection, geodesic, radius, adaptive-radius, and minimum-spanning-tree completion methods. Provides graph conversion, pruning, diagnostics, spectral embedding, endpoint detection, and path utilities. The implemented graph constructions include methods described by Jarvis and Patrick (1973) <doi:10.1109/T-C.1973.223640>, Brito et al. (1997) <doi:10.1016/S0167-7152(96)00213-1>, Berry and Sauer (2019) <doi:10.3934/fods.2019001>, and Gower and Ross (1969) <doi:10.2307/2346439>.
License: MIT + file LICENSE
Copyright: file inst/COPYRIGHTS
URL: https://github.com/pgajer/dgraphs
BugReports: https://github.com/pgajer/dgraphs/issues
Encoding: UTF-8
Language: en-US
SystemRequirements: C++17
Depends: R (>= 4.1.0)
Imports: FNN, igraph (>= 2.2.0), parallel
LinkingTo: Rcpp, RcppEigen
Suggests: Matrix, testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-08-06 07:57:36 UTC; pgajer
Author: Peter Gajer [aut, cre], Sunil Arya [ctb] , David M. Mount [ctb] , University of Maryland [cph] , Yixuan Qiu [ctb, cph] , Anna Araslanova [ctb, cph] , Gael Guennebaud [ctb, cph] , Jitse Niesen [ctb, cph] , Netherlands eScience Center [ctb, cph]
Maintainer: Peter Gajer <pgajer@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-20 17:00:11 UTC

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New package underdisp with initial version 0.1.0
Package: underdisp
Title: Diagnostics and Models for Underdispersed Count Data
Version: 0.1.0
Description: Tools for detecting and modeling underdispersion in count data (conditional variance below the conditional mean), a phenomenon overlooked by the Poisson and negative binomial defaults. Provides a screening diagnostic that benchmarks at-risk dispersion against a zero-truncated Poisson; the continuous parameter binomial (CPB) regression and its zero-truncated variant, with an interpretable observation-specific bound and high-dimensional fixed-effects support; validated bootstrap (for coefficients) and profile-likelihood (for the dispersion parameter) inference; and quantities of interest including predicted probabilities and the implied ceiling. The likelihood is implemented in C++ for speed.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0)
Imports: Rcpp, stats, MASS, VGAM, graphics, methods, numDeriv
LinkingTo: Rcpp
Suggests: sandwich, pscl, DHARMa, testthat (>= 3.0.0), knitr, rmarkdown, broom, modelsummary, texreg
VignetteBuilder: knitr
URL: https://github.com/bagozzib/underdisp
BugReports: https://github.com/bagozzib/underdisp/issues
NeedsCompilation: yes
Packaged: 2026-08-19 12:44:18 UTC; bagoz
Author: Benjamin E. Bagozzi [aut, cre]
Maintainer: Benjamin E. Bagozzi <bagozzib@udel.edu>
Repository: CRAN
Date/Publication: 2026-08-20 16:40:02 UTC

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New package scanr with initial version 0.1.0
Package: scanr
Title: Sequential Change-Point Detection via Nonparametric Inference
Version: 0.1.0
Description: Detects change points in long univariate time series using the SCAN framework. The implementation uses a native Rust backend exposed to R via 'extendr'.
License: GPL-3
Language: en-US
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc, Quarto CLI
Imports: ggplot2, jsonlite, rlang
Suggests: knitr, quarto, testthat (>= 3.0.0)
VignetteBuilder: quarto
URL: https://github.com/Prabashoka/scanr, https://prabashoka.github.io/scanr-vignette/
BugReports: https://github.com/Prabashoka/scanr/issues
NeedsCompilation: yes
Packaged: 2026-08-19 14:18:45 UTC; aseelappumud
Author: Ashoka Prabashwara [aut, cre], Patricia Menendez [aut], Liam Hodgkinson [aut], Stuart Lee [aut]
Maintainer: Ashoka Prabashwara <smashoka123@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-20 16:50:02 UTC

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Package bvpSolve readmission to version 1.4.4.2 with previous version 1.4.4.1 dated 2023-09-21

Title: Solvers for Boundary Value Problems of Differential Equations
Description: Functions that solve boundary value problems ('BVP') of systems of ordinary differential equations ('ODE') and differential algebraic equations ('DAE'). The functions provide an interface to the FORTRAN functions 'twpbvpC', 'colnew/colsys', and an R-implementation of the shooting method. Mazzia, F., J.R. Cash and K. Soetaert (2014), "Solving Boundary Value Problems in the Open Source Software R: Package bvpSolve" <doi:10.7494/OpMath.2014.34.2.387>.
Author: Karline Soetaert [aut] , Jeff Cash [aut], Francesca Mazzia [aut], Uri M. Ascher [ctb] , G. Bader [ctb] , J. Christiansen [ctb] , Robert R. Russell [ctb] , George Helffrich [cre, ctb]
Maintainer: George Helffrich <ghfbsd@gmail.com>

This is a re-admission after prior archival of version 1.4.4.1 dated 2023-09-21

Diff between bvpSolve versions 1.4.4.1 dated 2023-09-21 and 1.4.4.2 dated 2026-08-20

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New package weatherMRJD with initial version 0.1.1
Package: weatherMRJD
Title: Weather Analysis and Markov Regime Switching Jump Diffusion Models
Version: 0.1.1
Description: Provides statistical tools for analyzing weather patterns, temperature anomalies, and climate risk. Implements Markov regime-switching jump diffusion (MRJD) models to capture abrupt shifts, extreme weather events, and structural breaks in environmental time series data. Estimates model parameters using maximum likelihood estimation and offers utility functions for simulating regime-dependent stochastic processes. The regime-switching methodology is based on Hamilton (1989) "Analysis of Time Series Subject to Changes in Regime" <doi:10.2307/1912559>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-19 16:35:46 UTC; Dr. O. J. Obulezi
Author: Okechukwu J. Obulezi [aut, cre]
Maintainer: Okechukwu J. Obulezi <oj.obulezi@unizik.edu.ng>
Repository: CRAN
Date/Publication: 2026-08-20 15:20:02 UTC

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New package robustrcp with initial version 0.1.0
Package: robustrcp
Title: Outlier-Robust Ratio-cum-Product Estimators of Finite Population Mean
Version: 0.1.0
Description: Implements robust ratio-cum-product estimators using auxiliary medians for estimating the population mean under simple random sampling without replacement (SRSWOR). Provides analytical optimal tuning parameters, bias, Mean Squared Error (MSE), and Percent Relative Efficiency (PRE) evaluations.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: stats
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-08-06 20:15:01 UTC; Dr. O. J. Obulezi
Author: Okechukwu J. Obulezi [aut, cre]
Maintainer: Okechukwu J. Obulezi <oj.obulezi@unizik.edu.ng>
Repository: CRAN
Date/Publication: 2026-08-20 15:30:02 UTC

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New package MLMES with initial version 0.1.2
Package: MLMES
Title: Model-Based Effect Sizes for Multilevel Models
Version: 0.1.2
Description: Computes model-based effect sizes for fixed-effect coefficients in multilevel (hierarchical) models. The coefficient effect sizes are standardized mean differences from zero (d) and unique variance-explained measures (squared semi-partial correlations, sr2). The package also reports variance components and level-specific and total R-squared values. It supports 2-level and 3-level linear and binary logistic models fitted with 'lme4' (Bates et al., 2015) <doi:10.18637/jss.v067.i01>, and 2-level Gaussian and Bernoulli models fitted with 'brms' (Bürkner, 2017) <doi:10.18637/jss.v080.i01>. Sanders, Konold, and Cheng (in press), "Model-based effect sizes for multilevel linear regression coefficients," Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, describe the 2-level linear-model methods.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: lme4 (>= 1.1.34), Matrix (>= 1.6-5), dplyr, stats
Suggests: brms, bayestestR, lmerTest (>= 3.1-0), testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-06 14:14:22 UTC; zigzag
Author: Yijun Cheng [aut, cre], Elizabeth A. Sanders [aut], Timothy R. Konold [aut], Zhigang Zhang [aut], Zixie Zheng [aut]
Maintainer: Yijun Cheng <chengxb@uw.edu>
Repository: CRAN
Date/Publication: 2026-08-20 15:52:04 UTC

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New package caverify with initial version 0.1.2
Package: caverify
Title: Fast Strength-t Coverage Verification for Covering Arrays
Version: 0.1.2
Description: Verifies that an array covers every t-way interaction, the certificate check for covering arrays, using compiled C code with optional 'OpenMP' threading. Missing values are treated as wildcard ("flexible") entries that count as every symbol. Designed to be easy to embed in other packages: a single C file with a registered .Call entry point and one R wrapper.
License: MIT + file LICENSE
URL: https://github.com/chrispbsmolen/ca-tools
BugReports: https://github.com/chrispbsmolen/ca-tools/issues
Encoding: UTF-8
Language: en-US
Imports: parallel
NeedsCompilation: yes
Packaged: 2026-08-19 16:02:20 UTC; root
Author: Christopher Smolen [aut, cre]
Maintainer: Christopher Smolen <chrispbsmolen@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-20 15:02:05 UTC

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Package xegaDfGene updated to version 1.0.0.10 with previous version 1.0.0.9 dated 2026-02-16

Title: Gene Operations for Real-Coded Genes
Description: Representation-dependent gene-level operations for genetic and evolutionary algorithms with real-coded genes used in the R-package 'xega' <https://CRAN.R-project.org/package=xega> are collected in this package. The common feature of the gene operations is that all of them are useful for derivation-free optimization algorithms. At the moment the package implements initialization, mutation, crossover, and replication operations for differential evolution as described in Price, Kenneth V., Storn, Rainer M. and Lampinen, Jouni A. (2005) <doi:10.1007/3-540-31306-0>. In addition, several (more recent) methods for determining the scale factor are provided. For 'xega''s architecture, see Geyer-Schulz, A. (2025) <doi:10.5445/IR/1000187255>.
Author: Andreas Geyer-Schulz [aut, cre]
Maintainer: Andreas Geyer-Schulz <Andreas.Geyer-Schulz@kit.edu>

Diff between xegaDfGene versions 1.0.0.9 dated 2026-02-16 and 1.0.0.10 dated 2026-08-20

 DESCRIPTION         |    6 +++---
 MD5                 |    6 +++---
 NEWS                |    4 ++++
 R/xegaDfReplicate.R |    2 +-
 4 files changed, 11 insertions(+), 7 deletions(-)

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Package vecvec updated to version 1.3.0 with previous version 1.2.0 dated 2026-06-23

Title: Construct Mixed Type Data Structures with Vectors of Vectors
Description: Mixed type vectors are useful for combining semantically similar classes. Some examples of semantically related classes include time across different granularities (e.g. daily, monthly, annual) and probability distributions (e.g. Normal, Uniform, Poisson). These groups of vector types typically share common statistical operations which vary in results with the attributes of each vector. The 'vecvec' data structure facilitates efficient storage and computation across multiple vectors within the same object.
Author: Mitchell O'Hara-Wild [aut, cre]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

Diff between vecvec versions 1.2.0 dated 2026-06-23 and 1.3.0 dated 2026-08-20

 DESCRIPTION                       |   10 +-
 MD5                               |   54 ++++++++------
 NAMESPACE                         |    2 
 NEWS.md                           |   42 +++++++++++
 R/apply.R                         |  121 +++++++++++++++++++++++++++++++++
 R/coercion.R                      |   13 +++
 R/compare.R                       |   59 +++++++++++++++-
 R/group-methods.R                 |   54 ++++++++------
 R/hook.R                          |   24 ++++--
 R/predicates.R                    |   41 +++++++++--
 R/replacement.R                   |   87 +++++++++++++++++++++--
 R/utils.R                         |   97 ++++++++++++++++++++++++--
 R/vctrs.R                         |  102 +++++++++++++++++++++++----
 R/vecvec-package.R                |    1 
 R/vecvec.R                        |  105 ++++++++++++++++------------
 README.md                         |    6 -
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 tests/testthat/test-math.R        |   22 ++++++
 tests/testthat/test-predicates.R  |   77 +++++++++++++++++++++
 tests/testthat/test-replacement.R |   44 ++++++++++++
 tests/testthat/test-utils.R       |only
 tests/testthat/test-vctrs.R       |  139 ++++++++++++++++++++++++++++++++++++++
 tests/testthat/test-vecvec.R      |   19 +++++
 30 files changed, 1095 insertions(+), 154 deletions(-)

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New package themescopeR with initial version 0.1.1
Package: themescopeR
Title: Social Representation Analysis via Semantic Network Mapping
Version: 0.1.1
Description: Implements the ThemeScope framework for detecting and visualising social representations in large-scale digital text corpora. From raw documents it builds, via 'udpipe' annotation, sentence-level word co-occurrence networks and derives two community-level indicators grounded in Social Representation Theory: the Prototypical Salience Index (PSI) for anchoring and the Concreteness Score (CS) for objectification. Communities are located in a two-dimensional, theoretically grounded representational map. The whole pipeline is usable from the R console; an optional 'shiny' graphical interface calls the same exported functions. The method is described in Misuraca, Spano and D'Aniello (2026) <doi:10.1177/01655515261454276>.
License: MIT + file LICENSE
URL: https://github.com/lucadaniello/themescopeR
BugReports: https://github.com/lucadaniello/themescopeR/issues
Encoding: UTF-8
Language: en-GB
LazyData: true
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), dplyr (>= 1.1.0), ggplot2 (>= 3.4.0), ggrepel (>= 0.9.0), igraph (>= 2.1.0), Matrix (>= 1.6.0), methods, readr, readxl, rlang, stats, tools, udpipe (>= 0.8.11), utils
Suggests: bslib, DT, ggraph (>= 2.1.0), htmltools, knitr, plotly, rmarkdown, shiny, shinycssloaders, testthat (>= 3.0.0), visNetwork, writexl
NeedsCompilation: no
Packaged: 2026-08-19 10:10:22 UTC; lucadaniello
Author: Luca D'Aniello [aut, cre] , Michelangelo Misuraca [aut] , Maria Spano [aut]
Maintainer: Luca D'Aniello <luca.daniello@unina.it>
Repository: CRAN
Date/Publication: 2026-08-20 14:10:02 UTC

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New package scmix with initial version 0.1.1
Package: scmix
Title: Bayesian Model-Based Clustering with Sparse Conditional Mixture Models
Version: 0.1.1
Description: Fits Bayesian sparse conditional (Gaussian) mixture models for model-based clustering. Each mixture component factorizes into a chain of univariate polynomial regressions with per-component, per-equation Bayesian variable selection under a centered Zellner g-prior; the number of clusters is selected within a single run via an overfitted sparse mixture (Dirichlet concentration 1/K). The blocked Gibbs sampler draws the selection sets exactly by enumeration (or by validated single-flip Metropolis-Hastings in higher dimension), is provably well-posed under a documented proper fallback prior, and reports a label-invariant consensus partition (Dahl's least-squares criterion). Companion package to Dong, Liao, and Lee (2026), "Replacing three nested searches with one sweep: a Bayesian treatment of sparse conditional mixture clustering". Multiple-imputation functionality for the same engine is also exposed.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: graphics, stats
Suggests: knitr, mclust, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-15 17:13:34 UTC; july
Author: Aqi Dong [aut, cre], Yang-Li Liao [aut], Danhyang Lee [aut]
Maintainer: Aqi Dong <donga2@erau.edu>
Repository: CRAN
Date/Publication: 2026-08-20 14:30:02 UTC

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New package RtForecastR with initial version 0.1.0
Package: RtForecastR
Title: Real-Time Effective Reproduction Number Estimation and Forecasting
Version: 0.1.0
Description: Filtered (real-time/causal) and smoothed (retrospective) estimation of the time-varying effective reproduction number (Rt) from case-count time series, using the EpiFilter algorithm of Parag (2021) <doi:10.1371/journal.pcbi.1009347>, together with a one-step-ahead in-sample prediction check, a genuine out-of-sample one-step forecast with predictive intervals, elimination probability P(Rt < 1), and forecast calibration metrics (mean absolute error, mean squared error, root mean squared error, empirical coverage, and the weighted interval score of Bracher et al. (2021) <doi:10.1371/journal.pcbi.1008618>). Disease-agnostic: works for any pathogen given a known generation interval.
Language: en-US
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: graphics, grDevices, stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/rajsubediresearch/RtForecastR
BugReports: https://github.com/rajsubediresearch/RtForecastR/issues
NeedsCompilation: no
Packaged: 2026-08-19 12:33:48 UTC; razsu
Author: Raj Subedi [aut, cre, cph] ; author of R/recursPredict.R's configurable-grid maxI extension and R/recursPredictQuantiles.R), Kris V. Parag [ctb, cph] ; files R/epiFilter.R, R/epiSmoother.R and R/recursPredict.R are unmodified or lightly modified port [...truncated...]
Maintainer: Raj Subedi <rajsubediresearch@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-20 14:12:38 UTC

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New package ofemeantest with initial version 1.0.0
Package: ofemeantest
Title: On Farm Experimentation Mean Test
Version: 1.0.0
Description: Provides tools for comparing treatments in unreplicated on-farm experiments (OFE) using georeferenced data. The package includes functions for constructing spatial grids, estimating the effective sample size from spatial autocorrelation, performing repeated permutation tests, adjusting pairwise comparisons, and visualizing the results. It implements the OFE-mean test described in Córdoba, Paccioretti and Balzarini (2025) <doi:10.1007/s11119-024-10206-0>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: multcompView, permuco, sf, spatialreg, spdep, withr
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
URL: https://ppaccioretti.github.io/ofemeantest/, https://github.com/PPaccioretti/ofemeantest
BugReports: https://github.com/PPaccioretti/ofemeantest/issues
NeedsCompilation: no
Packaged: 2026-08-19 12:43:09 UTC; ariel
Author: Mariano Cordoba [aut, cph], Pablo Paccioretti [aut, cre, cph], Monica Balzarini [aut]
Maintainer: Pablo Paccioretti <pablopaccioretti@agro.unc.edu.ar>
Repository: CRAN
Date/Publication: 2026-08-20 14:20:14 UTC

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New package nwaa with initial version 0.1.4
Package: nwaa
Title: USGS NWAA Data Download
Version: 0.1.4
Description: Download and parse model outputs from the U.S. Geological Survey (USGS) National Water Availability Assessment (NWAA) Data Companion web services. Provides typed, validated wrappers for the published NWAA models across the Water Use, Water Quantity, and Integrated Water Availability families, returning results at HUC12 spatial resolution.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: httr2, jsonlite, readr, rlang, tibble
Suggests: httptest2, knitr, pkgdown, rmarkdown, sf, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://laljeet.github.io/nwaa/, https://github.com/laljeet/nwaa
BugReports: https://github.com/laljeet/nwaa/issues
NeedsCompilation: no
Packaged: 2026-08-19 16:10:13 UTC; laljeetsangha
Author: Laljeet Sangha [aut, cre]
Maintainer: Laljeet Sangha <lsanghah2o@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-20 14:40:02 UTC

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New package mditools with initial version 0.1.0
Package: mditools
Title: Microdata Infrastructure Tools for Firm-Level Microdata Research
Version: 0.1.0
License: GPL-3
URL: https://github.com/Secretariat-CompNet/mditools
BugReports: https://github.com/Secretariat-CompNet/mditools/issues
Description: Supports the full analysis pipeline for researchers working with firm-level microdata. Provides data tools for panel preparation (import, outlier detection, classification harmonization), analytical methods (production function estimation, capital stock measurement, markups, intensity measures, distributions, regression, clustering), and disclosure tools for tagging outputs with dominance and observation counts before aggregation and publication. Production function estimation implements methods by Ackerberg, Caves and Frazer (2015) <doi:10.3982/ECTA13408>, Levinsohn and Petrin (2003) <doi:10.1111/1467-937X.00246>, Wooldridge (2009) <doi:10.1016/j.econlet.2009.04.026>, Petrin, Poi and Levinsohn (2004) <doi:10.1177/1536867X0400400202>, and Arellano and Bond (1991) <doi:10.2307/2297968> with the "too many instruments" correction by Roodman (2009) <doi:10.1111/j.1468-0084.2008.00542.x>. Markup estimation follows De Loecker and Warzynski (2012) <doi:1 [...truncated...]
Encoding: UTF-8
Imports: data.table, fixest, haven, readxl, Matrix, cluster, dbscan, mclust, stats, utils, graphics, grDevices
Suggests: testthat (>= 3.0.0), arrow
NeedsCompilation: no
Packaged: 2026-08-19 16:23:58 UTC; johanna
Author: Daniele Aglio [aut], Eric Bartelsman [aut], Mirja Haelbig [aut], Marco Miorandi [aut], Johanna Weiss [aut, cre], Alessandro Zona Mattioli [aut], Julian Diaz-Acosta [ctb], Alberto Ferreira [ctb], Javier Miranda [ctb], Marcelo Piemonte Ribeiro [ctb], Re [...truncated...]
Maintainer: Johanna Weiss <johanna.weiss@iwhesl.onmicrosoft.com>
Repository: CRAN
Date/Publication: 2026-08-20 14:50:02 UTC

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New package lineager with initial version 0.1.1
Package: lineager
Title: Row-Level Data Provenance and Exclusion Tracking
Version: 0.1.1
Description: Provides row-level data provenance tracking for analytical pipelines. Tags datasets with unique lineage identifiers that persist through filter, join, and derive operations. Requires documented reasons for every row exclusion, capturing who was removed, why, and at which pipeline stage. Variable derivations are registered as structured specifications linking output variables back to their source. Any row in any downstream dataset can be traced back to its origin via lg_trace(). Generates structured HTML provenance reports suitable for regulatory submissions, internal audit, or analytical documentation. General-purpose: works for clinical data, machine learning pipelines, financial modelling, epidemiology, or any workflow where row-level accountability matters. Optional features support pharmaceutical users including population flag definitions, source-to-analysis variable mapping, and Reviewer's Guide-aligned report output. Complements the 'regulog' package for tamper-evident session-l [...truncated...]
License: MIT + file LICENSE
URL: https://reprostats.org, https://github.com/repro-stats/lineager
BugReports: https://github.com/repro-stats/lineager/issues
Imports: dplyr (>= 1.1.0), magrittr (>= 2.0.3)
Suggests: admiral, DiagrammeR, ggplot2, haven, knitr, mockery, rmarkdown, testthat (>= 3.0.0), tibble
Encoding: UTF-8
Language: en-GB
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-19 12:35:38 UTC; ndohpenn
Author: Ndoh Penn [aut, cre]
Maintainer: Ndoh Penn <ndohpenn9@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-20 14:20:20 UTC

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Package labelled updated to version 2.16.1 with previous version 2.16.0 dated 2025-10-22

Title: Manipulating Labelled Data
Description: Work with labelled data imported from 'SPSS' or 'Stata' with 'haven' or 'foreign'. This package provides useful functions to deal with "haven_labelled" and "haven_labelled_spss" classes introduced by 'haven' package.
Author: Joseph Larmarange [aut, cre] , Daniel Ludecke [ctb], Hadley Wickham [ctb], Michal Bojanowski [ctb], Francois Briatte [ctb]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

Diff between labelled versions 2.16.0 dated 2025-10-22 and 2.16.1 dated 2026-08-20

 DESCRIPTION                                |    8 -
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 NEWS.md                                    |   12 +
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 R/na_values.R                              |    4 
 R/recode.R                                 |   15 +
 R/retrocompatibility.R                     |    2 
 R/to_character.R                           |   58 ++++---
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 README.md                                  |    3 
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 inst/doc/missing_values.html               |    3 
 man/dictionary_to_variable_labels.Rd       |    6 
 man/na_values.Rd                           |    4 
 man/reexports.Rd                           |    4 
 man/to_character.Rd                        |    2 
 man/to_factor.Rd                           |    6 
 tests/testthat/test-dictionary_to_labels.R |   15 +
 tests/testthat/test-labelled.r             |   70 ++++++++-
 24 files changed, 497 insertions(+), 342 deletions(-)

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New package kpp2019 with initial version 0.0.1
Package: kpp2019
Title: Kenya Population Projections 2019
Version: 0.0.1
Description: Provides population projection data for Kenya and its 47 counties from 2020 to 2045, derived from the 2019 Kenya Population and Housing Census and subsequent projections published by the Kenya National Bureau of Statistics (KNBS). Includes annual and five-year age and sex distributions, along with components of population change such as births, deaths, and migration.
License: CC BY 4.0
URL: https://kpp2019.damurka.com, https://github.com/damurka/kpp2019
BugReports: https://github.com/damurka/kpp2019/issues
Suggests: dplyr, ggplot2, knitr, purrr, readxl, rmarkdown, spelling, stringr, tidyr, testthat (>= 3.0.0)
Depends: R (>= 2.10)
Encoding: UTF-8
Language: en-GB
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-19 12:07:26 UTC; Murage
Author: David Kariuki [aut, cre, cph]
Maintainer: David Kariuki <hello@damurka.com>
Repository: CRAN
Date/Publication: 2026-08-20 14:10:09 UTC

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Package guideR updated to version 0.12.0 with previous version 0.11.0 dated 2026-08-03

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

Diff between guideR versions 0.11.0 dated 2026-08-03 and 0.12.0 dated 2026-08-20

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 NAMESPACE                              |   19 
 NEWS.md                                |   26 
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 R/plot_categorical.R                   |   63 ++
 R/plot_continuous.R                    |   42 +
 R/plot_means.R                         |   29 +
 R/tbl_maihda.R                         |  874 +++++++++++++++++++++++++++------
 README.md                              |    2 
 inst/extdata                           |only
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 tests/testthat/test-maihda.R           |   48 +
 tests/testthat/test-plot_categorical.R |   13 
 tests/testthat/test-plot_continuous.R  |   22 
 tests/testthat/test-plot_means.R       |    7 
 23 files changed, 1253 insertions(+), 251 deletions(-)

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New package hydrogeofetch with initial version 2.0.0
Package: hydrogeofetch
Title: Hydrologic Geospatial Fabric Extraction Tool Chain
Version: 2.0.0
Description: Traverses and works with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'hydrogeofetch' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>. Previously published as 'nhdplusTools'.
URL: https://doi-usgs.github.io/nhdplusTools/ https://github.com/doi-usgs/nhdplusTools/
BugReports: https://github.com/doi-usgs/nhdplusTools/issues/
Depends: R (>= 4.1)
Imports: hydroloom, dataRetrieval, dplyr, sf, units, jsonlite, httr2, xml2, utils, data.table, methods, arrow, tools, zip, memoise, digest
Suggests: testthat, knitr, rmarkdown, ggmap, ggplot2, lwgeom, gifski, leaflet, httptest2, StreamCatTools, terra, maptiles, mapsf
License: CC0
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
LazyDataCompression: xz
Language: en-US
NeedsCompilation: no
Packaged: 2026-08-17 13:07:00 UTC; root
Author: David Blodgett [aut, cre] , Mike Johnson [ctb] , Marc Weber [ctb] , Josh Erickson [ctb], Lauren Koenig [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>
Repository: CRAN
Date/Publication: 2026-08-20 14:40:08 UTC

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New package grout with initial version 0.1.0
Package: grout
Title: Abstract Raster Tiling Schemes
Version: 0.1.0
Description: Impose a tiling scheme on a raster grid defined by its dimension and extent. Computes tile counts, pixel offsets (suitable for spatial library windowed reads), and geographic extents for each tile. Also supports standard Web Mercator and geodetic tiling profiles with zoom levels, and provides a spatial map of what each chunk covers for interrogating virtual raster stores. Based on the analysis of Lamb (1994, ISBN-13: 978-0748403158) "Tiling very large rasters" in 'Advances in GIS Research: Proceedings of the Sixth International Symposium on Spatial Data Handling', volume 1, pages 449-461.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: graphics, tibble, utils, vaster (>= 0.6.0)
Suggests: testthat (>= 3.0.0), wk
URL: https://github.com/hypertidy/grout
BugReports: https://github.com/hypertidy/grout/issues
NeedsCompilation: no
Packaged: 2026-08-19 12:57:18 UTC; mdsumner
Author: Michael D. Sumner [aut, cre, cph]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-20 14:30:13 UTC

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Package ggquiver updated to version 0.5.0 with previous version 0.4.0 dated 2025-12-18

Title: Quiver Plots for 'ggplot2'
Description: An extension of 'ggplot2' to provide quiver plots to visualise vector fields. This functionality is implemented using a geom to produce a new graphical layer, which allows aesthetic options. This layer can be overlaid on a map to improve visualisation of mapped data.
Author: Mitchell O'Hara-Wild [aut, cre]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

Diff between ggquiver versions 0.4.0 dated 2025-12-18 and 0.5.0 dated 2026-08-20

 ggquiver-0.4.0/ggquiver/R/ggquiver.R                                                            |only
 ggquiver-0.5.0/ggquiver/DESCRIPTION                                                             |    8 
 ggquiver-0.5.0/ggquiver/MD5                                                                     |   36 -
 ggquiver-0.5.0/ggquiver/NAMESPACE                                                               |    5 
 ggquiver-0.5.0/ggquiver/NEWS.md                                                                 |   10 
 ggquiver-0.5.0/ggquiver/R/geom-quiver.r                                                         |   64 +
 ggquiver-0.5.0/ggquiver/R/ggquiver-package.R                                                    |only
 ggquiver-0.5.0/ggquiver/R/stat-quiver.r                                                         |   37 -
 ggquiver-0.5.0/ggquiver/README.md                                                               |   13 
 ggquiver-0.5.0/ggquiver/man/figures/README-sealplot-custom-1.png                                |binary
 ggquiver-0.5.0/ggquiver/man/geom_quiver.Rd                                                      |   14 
 ggquiver-0.5.0/ggquiver/man/ggquiver-package.Rd                                                 |    2 
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 ggquiver-0.5.0/ggquiver/tests/testthat/test-geom_quiver.R                                       |   43 +
 ggquiver-0.5.0/ggquiver/tests/testthat/test-stat_quiver.R                                       |only
 21 files changed, 1038 insertions(+), 888 deletions(-)

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Package fluffy updated to version 1.0.1 with previous version 1.0.0 dated 2026-06-10

Title: Schema-Based Validation of 'R' Objects with User-Defined Rules
Description: A schema-based validation framework for 'R' objects using user-defined rules. Provides three 'S7' classes 'Registry', 'Schema', and 'Validator' to manage rules, define list-based schemas, and validate data in a flexible and extensible manner.
Author: Luke Jenkins [aut, cre, cph]
Maintainer: Luke Jenkins <luke-jenkins-dev@outlook.com>

Diff between fluffy versions 1.0.0 dated 2026-06-10 and 1.0.1 dated 2026-08-20

 DESCRIPTION                                                      |    6 
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 NEWS.md                                                          |   16 
 R/aaa_Schema.r                                                   |    7 
 R/abb_add_rule_generics.r                                        |    5 
 R/registry_defaults.r                                            |  404 ++++++----
 R/utils.r                                                        |    2 
 README.md                                                        |   11 
 inst/doc/custom-rules.Rmd                                        |    2 
 inst/doc/custom-rules.html                                       |   17 
 inst/doc/validating-data.R                                       |    4 
 inst/doc/validating-data.Rmd                                     |    4 
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 man/Schema.Rd                                                    |    8 
 man/add_rule.Rd                                                  |    5 
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Package favr updated to version 2.0.0 with previous version 1.0.0 dated 2025-12-15

Title: Function Argument Validation
Description: Validate function arguments succinctly with informative error messages.
Author: Luke Jenkins [aut, cre, cph]
Maintainer: Luke Jenkins <luke-jenkins-dev@outlook.com>

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Package cheddar updated to version 0.1-640 with previous version 0.1-639 dated 2024-07-24

Title: Analysis and Visualisation of Ecological Communities
Description: Provides a flexible, extendable representation of an ecological community and a range of functions for analysis and visualisation, focusing on food web, body mass and numerical abundance data. Allows inter-web comparisons such as examining changes in community structure over environmental, temporal or spatial gradients.
Author: Lawrence Hudson [aut, cre], Dan Reuman [aut], Rob Emerson [ctb]
Maintainer: Lawrence Hudson <quicklizard@googlemail.com>

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Package broom.helpers updated to version 1.23.0 with previous version 1.22.0 dated 2025-09-17

Title: Helpers for Model Coefficients Tibbles
Description: Provides suite of functions to work with regression model 'broom::tidy()' tibbles. The suite includes functions to group regression model terms by variable, insert reference and header rows for categorical variables, add variable labels, and more.
Author: Joseph Larmarange [aut, cre] , Daniel D. Sjoberg [aut]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

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Package BayesBinMix updated to version 1.4.2 with previous version 1.4.1 dated 2017-07-04

Title: Bayesian Estimation of Mixtures of Multivariate Bernoulli Distributions
Description: Fully Bayesian inference for estimating the number of clusters and related parameters to heterogeneous binary data.
Author: Panagiotis Papastamoulis [aut, cre]
Maintainer: Panagiotis Papastamoulis <papapast@yahoo.gr>

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New package alepe with initial version 0.1.0
Package: alepe
Title: Access the Open Data API of the Legislative Assembly of Pernambuco
Version: 0.1.0
Description: A tidy interface to the open data API of the Legislative Assembly of the State of Pernambuco, Brazil ('ALEPE', <https://dadosabertos.alepe.pe.gov.br>). Retrieve data on representatives, staff, positions, departments, remuneration, contracts, procurement processes, and legislative propositions as tibbles with clean names and parsed column types. Requests are cached locally and retried with exponential backoff; network failures are handled gracefully.
License: MIT + file LICENSE
URL: https://github.com/StrategicProjects/alepe, https://strategicprojects.github.io/alepe/
BugReports: https://github.com/StrategicProjects/alepe/issues
Depends: R (>= 4.1)
Imports: cli, httr2 (>= 1.0.0), readr, rlang (>= 1.1.0), tibble
Suggests: dplyr, ggplot2, httptest2, jsonlite, knitr, rmarkdown, testthat (>= 3.0.0), tidyr, withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-08-19 12:53:57 UTC; leite
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut], Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Julia Nascimento Barreto [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-08-20 14:22:29 UTC

More information about alepe at CRAN
Permanent link

Package xegaPermGene updated to version 1.0.0.2 with previous version 1.0.0.1 dated 2025-04-16

Title: Operations on Permutation Genes
Description: An implementation of representation-dependent gene level operations for genetic algorithms with genes representing permutations: Initialization of genes, mutation, and crossover. The crossover operation provided is position-based crossover (Syswerda, G., Chap. 21 in Davis, L. (1991, ISBN:0-442-00173-8). For mutation, several variants are included: Order-based mutation (Syswerda, G., Chap. 21 in Davis, L. (1991, ISBN:0-442-00173-8), randomized Lin-Kernighan heuristics (Croes, G. A. (1958) <doi:10.1287/opre.6.6.791> and Lin, S. and Kernighan. B. W. (1973) <doi:10.1287/opre.21.2.498>), and randomized greedy operators. A random mix operator for mutation selects a mutation variant randomly.
Author: Andreas Geyer-Schulz [aut, cre]
Maintainer: Andreas Geyer-Schulz <Andreas.Geyer-Schulz@kit.edu>

Diff between xegaPermGene versions 1.0.0.1 dated 2025-04-16 and 1.0.0.2 dated 2026-08-20

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Package xegaGaGene updated to version 1.0.0.7 with previous version 1.0.0.6 dated 2026-02-16

Title: Binary Gene Operations for Genetic Algorithms
Description: Representation-dependent gene level operations of a genetic algorithm with binary coded genes for the R-package 'xega' <https://CRAN.R-project.org/package=xega>: Initialization of random binary genes, several gene maps for binary genes, several mutation operators, several crossover operators with 1 and 2 kids, replication pipelines for 1 and 2 kids, and, last but not least, function factories for configuration. See Goldberg, D. E. (1989, ISBN:0-201-15767-5). For crossover operators, see Syswerda, G. (1989, ISBN:1-55860-066-3), Spears, W. and De Jong, K. (1991, ISBN:1-55860-208-9). For mutation operators, see Stanhope, S. A. and Daida, J. M. (1996, ISBN:0-18-201-031-7). For 'xega''s architecture, see Geyer-Schulz, A. (2025) <doi:10.5445/IR/1000187255>.
Author: Andreas Geyer-Schulz [aut, cre]
Maintainer: Andreas Geyer-Schulz <Andreas.Geyer-Schulz@kit.edu>

Diff between xegaGaGene versions 1.0.0.6 dated 2026-02-16 and 1.0.0.7 dated 2026-08-20

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Package xega updated to version 0.9.1.0 with previous version 0.9.0.23 dated 2026-02-17

Title: Extended Evolutionary and Genetic Algorithms
Description: Implementation of a scalable, highly configurable, and e(x)tended architecture for (e)volutionary and (g)enetic (a)lgorithms. Multiple representations (binary, real-coded, permutation, and derivation-tree), a rich collection of genetic operators, as well as an extended processing pipeline are provided for genetic algorithms (Goldberg, D. E. (1989, ISBN:0-201-15767-5)), differential evolution (Price, Kenneth V., Storn, Rainer M. and Lampinen, Jouni A. (2005) <doi:10.1007/3-540-31306-0>), simulated annealing (Aarts, E., and Korst, J. (1989, ISBN:0-471-92146-7)), grammar-based genetic programming (Geyer-Schulz (1997, ISBN:978-3-7908-0830-X)), grammatical evolution (Ryan, C., O'Neill, M., and Collins, J. J. (2018) <doi:10.1007/978-3-319-78717-6>), and grammatical differential evolution (O'Neill, M. and Brabazon, A. (2006) in Arabinia, H. (2006, ISBN:978-193-241596-3). All algorithms reuse basic adaptive mechanisms for performance optimization. For the architecture, see Geyer-Sc [...truncated...]
Author: Andreas Geyer-Schulz [aut, cre]
Maintainer: Andreas Geyer-Schulz <Andreas.Geyer-Schulz@kit.edu>

Diff between xega versions 0.9.0.23 dated 2026-02-17 and 0.9.1.0 dated 2026-08-20

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More information about xega at CRAN
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Package TKCat updated to version 1.2.3 with previous version 1.2.2 dated 2026-06-29

Title: Tailored Knowledge Catalog
Description: Facilitate the management of data from knowledge resources that are frequently used alone or together in research environments. In 'TKCat', knowledge resources are manipulated as modeled database (MDB) objects. These objects provide access to the data tables along with a general description of the resource and a detailed data model documenting the tables, their fields and their relationships. These MDBs are then gathered in catalogs that can be easily explored and shared. Finally, 'TKCat' provides tools to easily subset, filter and combine MDBs and create new catalogs suited for specific needs.
Author: Patrice Godard [aut, cre, cph]
Maintainer: Patrice Godard <patrice.godard@gmail.com>

Diff between TKCat versions 1.2.2 dated 2026-06-29 and 1.2.3 dated 2026-08-20

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Package tidySEM updated to version 0.2.11 with previous version 0.2.10 dated 2026-01-11

Title: Tidy Structural Equation Modeling
Description: A tidy workflow for generating, estimating, reporting, and plotting structural equation models using 'lavaan', 'OpenMx', or 'Mplus'. Throughout this workflow, elements of syntax, results, and graphs are represented as 'tidy' data, making them easy to customize. Includes functionality to estimate latent class analyses, and to plot 'dagitty' and 'igraph' objects.
Author: Caspar J. van Lissa [aut, cre] , Mauricio Garnier-Villarreal [ctb] , Frank C Gootjes [ctb]
Maintainer: Caspar J. van Lissa <c.j.vanlissa@tilburguniversity.edu>

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Package robust2sls updated to version 0.2.4 with previous version 0.2.3 dated 2025-05-20

Title: Outlier Robust Two-Stage Least Squares Inference and Testing
Description: An implementation of easy tools for outlier robust inference in two-stage least squares (2SLS) models. The user specifies a reference distribution against which observations are classified as outliers or not. After removing the outliers, adjusted standard errors are automatically provided. Furthermore, several statistical tests for the false outlier detection rate can be calculated. The outlier removing algorithm can be iterated a fixed number of times or until the procedure converges. The algorithms and robust inference are described in more detail in Jiao (2019) <https://drive.google.com/file/d/1qPxDJnLlzLqdk94X9wwVASptf1MPpI2w/view>.
Author: Jonas Kurle [aut, cre]
Maintainer: Jonas Kurle <mail@jonaskurle.com>

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Package rebmix updated to version 2.17.2 with previous version 2.17.1 dated 2025-11-10

Title: Finite Mixture Modeling, Clustering & Classification
Description: Random univariate and multivariate finite mixture model generation, estimation, clustering, latent class analysis and classification. Variables can be continuous, discrete, independent or dependent and may follow normal, lognormal, Weibull, gamma, Gumbel, binomial, Poisson, Dirac, uniform or circular von Mises parametric families.
Author: Marko Nagode [aut, cre] , Branislav Panic [ctb] , Jernej Klemenc [ctb] , Simon Oman [ctb]
Maintainer: Marko Nagode <marko.nagode@fs.uni-lj.si>

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Package openxlsx2 updated to version 1.29 with previous version 1.28 dated 2026-07-02

Title: Read, Write and Edit 'xlsx' Files
Description: Simplifies the creation of 'xlsx' files by providing a high level interface to writing, styling and editing worksheets.
Author: Jordan Mark Barbone [aut] , Jan Marvin Garbuszus [aut, cre], Olivier Roy [ctb], openxlsx authors [cph] , Arseny Kapoulkine [ctb, cph]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>

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Package nuggets updated to version 2.2.3 with previous version 2.2.2 dated 2026-07-22

Title: Fast and Extensible Pattern Discovery in Tabular Data
Description: Fast and extensible framework for discovering interesting patterns in tabular data. The package searches combinations of fuzzy or Boolean predicates and evaluates the resulting subgroups using statistical, logical, or structural measures. It supports a broad range of pattern-discovery tasks, including association rules (Agrawal et al., 1994, <https://www.vldb.org/conf/1994/P487.PDF>), contrast patterns (Chen, 2022, <doi:10.48550/arXiv.2209.13556>), emerging patterns (Dong et al., 1999, <doi:10.1145/312129.312191>), subgroup discovery (Atzmueller, 2015, <doi:10.1002/widm.1144>), and conditional correlations (Hájek, 1978, <doi:10.1007/978-3-642-66943-9>). User-defined functions may be supplied to guide custom pattern searches, making the framework applicable beyond traditional association-rule mining. Efficient implementation enables pattern discovery on large and dense data sets. Package includes methods for visualization and supports interactive explo [...truncated...]
Author: Michal Burda [aut, cre]
Maintainer: Michal Burda <michal.burda@osu.cz>

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Package fracreg updated to version 1.1.0 with previous version 1.0.1 dated 2026-08-05

Title: Fractional Response Regressions
Description: Provides routines for the estimation and specification analysis of fractional response models. Includes univariate one-part, two-part, and double-inflated three-part fractional models. Further incorporates estimators for panel data settings and addresses unobserved heterogeneity and endogeneity via correlated random effects and control function approaches. Extends fractional methodology to multivariate data via fractional multinomial logit models and handles high-dimensional multicollinear data via fractional ridge regression. Calculates analytical partial effects across all model types and includes generalised goodness-of-functional-form (GGOFF) and Regression Equation Specification Error Test (RESET) hypothesis tests. Methods are described in Papke and Wooldridge (1996) <doi:10.1002/(SICI)1099-1255(199611)11:6%3C619::AID-JAE418%3E3.0.CO;2-1>, Papke and Wooldridge (2008) <doi:10.1016/j.jeconom.2008.05.009>, Buis (2008) <http://maartenbuis.nl/software/likelihoodFmlogit.p [...truncated...]
Author: Sulman Olieko Owili [aut, cre]
Maintainer: Sulman Olieko Owili <oliekosulman@gmail.com>

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Package ambiR updated to version 0.2.0 with previous version 0.1.1 dated 2025-12-19

Title: Calculate AZTI’s Marine Biotic Index
Description: Calculate AZTI’s Marine Biotic Index - AMBI. The included list of benthic fauna species according to their sensitivity to pollution. Matching species in sample data to the list allows the calculation of fractions of individuals in the different sensitivity categories and thereafter the AMBI index. The Shannon Diversity Index H' and the Danish benthic fauna quality index DKI (Dansk Kvalitetsindeks) can also be calculated, as well as the multivariate M-AMBI index. Borja, A., Franco, J. ,Pérez, V. (2000) "A marine biotic index to establish the ecological quality of soft bottom benthos within European estuarine and coastal environments" <doi:10.1016/S0025-326X(00)00061-8>.
Author: Ciaran J. Murray [aut, cre, cph] , Angel Borja [aut] , Sarai Pouso [aut] , Inigo Muxika [aut] , Joxe Mikel Garmendia [aut] , Steen Knudsen [ctb] , GES4SEAS [fnd]
Maintainer: Ciaran J. Murray <cjm@niva-dk.dk>

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Package SSLfmm updated to version 0.2.0 with previous version 0.1.0 dated 2025-12-09

Title: Semi-Supervised Learning with Mixed Missingness in Finite Mixture Models
Description: Semi-supervised Gaussian finite mixture models for partially labelled data under complete-case, missing completely at random (MCAR), entropy-dependent missing at random (MAR), and mixed MCAR/MAR label-missingness formulations. For the mixed formulation, the source of a missing label may be observed or latent. The package supports equal and component-specific covariance matrices, model fitting, simulation, initialization, prediction, classification performance assessment, and entropy-based diagnostics. A semi-synthetic Blood Transfusion data set is included to illustrate the applied workflow.
Author: Geoffrey J. McLachlan [aut] , Jinran Wu [aut, cre]
Maintainer: Jinran Wu <jinran.wu@uq.edu.au>

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Package FESta updated to version 1.0.2 with previous version 1.0.1 dated 2026-08-03

Title: Fishing Effort Standardization
Description: Marine fisheries governance and management rely heavily on reliable indicators of stock abundance and fishing pressure to ensure the sustainable utilization of marine resources. Catch Per Unit Effort (CPUE) is widely used as an index of relative abundance, but direct comparison of catch rates is often affected by differences in fishing effort, vessel characteristics, gear efficiency, and operational practices. The FESta package provides methods for fishing effort and CPUE standardization, including vessel-based, gear-based, relative effort, derived effort, generalized linear models, generalized additive models, generalized linear mixed models, ordered quantile transformation models, and multi-gear standardization techniques for fisheries stock assessment and monitoring. To cite our package run this command, citation("FESta").
Author: Eldho Varghese [aut, cre], Jayasankar J [aut], Ashutosh Dalal [aut, ctb], Sathianandan T V [aut], Sreepriya V [aut, ctb], Reshma Gills [ctb], Grinson George [ctb]
Maintainer: Eldho Varghese <eldhoiasri@gmail.com>

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Package BayesRTMB updated to version 0.3.0 with previous version 0.2.4 dated 2026-07-24

Title: Bayesian Inference Using 'RTMB'
Description: Provides tools for Markov chain Monte Carlo (MCMC) and Maximum A Posteriori (MAP) estimation utilizing the 'RTMB' package. It supports various statistical models including generalized linear mixed models, factor analysis, item response theory, and multidimensional unfolding. The package allows users to easily transition between frequentist and Bayesian paradigms using a unified interface. Automatic differentiation and Laplace approximation follow Kristensen et al. (2016) <doi:10.18637/jss.v070.i05>, and MCMC sampling uses the No-U-Turn Sampler described by Hoffman and Gelman (2014) <https://jmlr.org/papers/v15/hoffman14a.html>.
Author: Hiroshi Shimizu [aut, cre]
Maintainer: Hiroshi Shimizu <simizu706@gmail.com>

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Package virustotal updated to version 0.7.0 with previous version 0.6.0 dated 2026-04-13

Title: R Client for the 'VirusTotal' API
Description: Provides a comprehensive R interface to the 'VirusTotal' API v3.0 <https://docs.virustotal.com/>, a Google service that analyzes files and URLs for viruses, worms, trojans and other malware. Features include file/URL scanning, domain categorization, passive DNS information, IP reputation analysis, IoC relationships, sandbox analysis, and comment/voting systems. Implements rate limiting, error handling, and response validation for robust security analysis workflows.
Author: Gaurav Sood [aut, cre]
Maintainer: Gaurav Sood <gsood07@gmail.com>

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 164 files changed, 2164 insertions(+), 1431 deletions(-)

More information about virustotal at CRAN
Permanent link

Package tuber updated to version 2.0.0 with previous version 1.4.1 dated 2026-08-02

Title: Client for the YouTube Data API
Description: Search public YouTube data and retrieve channels, videos, playlists, comments, captions, live broadcasts, and reference data. Authenticated methods support common uploads, playlist changes, comment moderation, and media updates. See the YouTube Data API documentation at <https://developers.google.com/youtube/v3/>.
Author: Gaurav Sood [aut, cre], Kate Lyons [ctb], John Muschelli [ctb]
Maintainer: Gaurav Sood <gsood07@gmail.com>

Diff between tuber versions 1.4.1 dated 2026-08-02 and 2.0.0 dated 2026-08-20

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Package TCpRepDesigns updated to version 0.0.2 with previous version 0.0.1 dated 2026-06-25

Title: Partially Replicated Test-Control Designs for Early Generation Varietal Trials
Description: Provides functions for generating partially replicated (p-rep) test-control designs for early generation varietal trials conducted across multiple environments. The package implements three construction methods for obtaining p-rep test-control designs with one or more control treatments. The package extends the partially replicated design framework of Vinaykumar et al. (2026) <doi:10.1007/s12355-025-01684-1> to accommodate test-control comparisons in breeding trials. Functions are provided for generating randomized and non-randomized layouts and for displaying the design parameters and treatment allocations for each environment. The proposed designs are useful for large-scale varietal evaluation trials where a large number of test lines are assessed under limited experimental resources.
Author: Vinaykumar L.N. [aut, cre], Cini Varghese [aut, ctb], Mohd Harun [aut, ctb], Sayantani Karmakar [aut, ctb], Vinayaka [aut, ctb]
Maintainer: Vinaykumar L.N. <vinaymandya123@gmail.com>

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Package statease updated to version 1.4.0 with previous version 1.3.0 dated 2026-07-02

Title: Simplified Statistical Analysis with Plain-English Interpretation
Description: A toolkit for common statistical analyses including descriptive statistics, Student's t-tests (one-sample, independent, and paired), one-way and two-way Analysis of Variance (ANOVA), Multivariate Analysis of Variance (MANOVA), chi-square tests, Fisher's Exact Test, McNemar's Test, correlation analysis, simple and multiple linear regression, logistic regression, Friedman Test, and non-parametric tests (Mann-Whitney U, Wilcoxon Signed Rank, and Kruskal-Wallis). Each function automatically interprets results in plain English, reporting effect sizes, confidence intervals, and p-value interpretations, and prints relevant assumption checks by default. A context argument allows users to describe their study design, echoed back alongside the interpretation as a reminder to read results in that context. Post-hoc tests are automatically applied following significant results. A master function automatically detects the appropriate test based on the structure of the input data. Methods are based o [...truncated...]
Author: Uwakmfon Paul [aut, cre, cph]
Maintainer: Uwakmfon Paul <uwakmfon31@gmail.com>

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Package hashtable updated to version 1.0.1 with previous version 1.0.0 dated 2026-07-27

Title: Hash Table and Hash Set
Description: It provides three implementations of hash tables and hash maps: 1. using 'std::unordered_map' and 'std::unordered_set' C++ libraries, 2. wrapping around the 'fastmatch' package, 3. using R environment.
Author: Zuguang Gu [aut, cre]
Maintainer: Zuguang Gu <guzuguang@suat-sz.edu.cn>

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Package dowser updated to version 2.5.1 with previous version 2.4.1 dated 2026-03-26

Title: B Cell Receptor Phylogenetics Toolkit
Description: Provides a set of functions for inferring, visualizing, and analyzing B cell phylogenetic trees. Provides methods to 1) reconstruct unmutated ancestral sequences, 2) build B cell phylogenetic trees using multiple methods, 3) visualize trees with metadata at the tips, 4) reconstruct intermediate sequences, 5) detect biased ancestor-descendant relationships among metadata types Workflow examples available at documentation site (see URL). Citations: Hoehn et al (2022) <doi:10.1371/journal.pcbi.1009885>, Hoehn et al (2021) <doi:10.1101/2021.01.06.425648>.
Author: Kenneth Hoehn [aut, cre], Cole Jensen [aut], Jessie Fielding [aut], Hunter Melton [aut], Susanna Marquez [ctb], Jason Vander Heiden [ctb], Erick Matsen [ctb], Steven Kleinstein [aut, cph]
Maintainer: Kenneth Hoehn <kenneth.b.hoehn@dartmouth.edu>

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Package dataSDA updated to version 0.2.7 with previous version 0.2.6 dated 2026-06-12

Title: Datasets and Basic Statistics for Symbolic Data Analysis
Description: Provides benchmark datasets and foundational tools for Symbolic Data Analysis (SDA). The package includes functions for constructing symbolic data objects from classical data, converting among different interval-valued data formats, managing interval-valued, histogram-valued, modal-valued, and multi-valued data, and performing basic descriptive statistics. It is designed to support teaching, methodological research, and the development of SDA techniques.
Author: Po-Wei Chen [aut], Chun-houh Chen [aut], Han-Ming Wu [cre]
Maintainer: Han-Ming Wu <wuhm@g.nccu.edu.tw>

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Package blockCV updated to version 4.0-0 with previous version 3.2-0 dated 2025-08-21

Title: Spatial and Environmental Blocking for Cross-Validation
Description: Creates spatially or environmentally separated, or group-preserving, training and testing folds for k-fold, leave-group-out, and leave-one-out cross-validation. Provides spatial blocking, clustering, buffering, and nearest-neighbour distance-matching methods, together with tools to visualise folds, summarise fold sizes and class balance, and assess train–test separation and environmental novelty. Also estimates spatial autocorrelation ranges in point samples and continuous raster covariates to provide an initial distance scale for designing spatial folds. Methods are described in Valavi, R. et al. (2019) <doi:10.1111/2041-210X.13107>.
Author: Roozbeh Valavi [aut, cre] , Jane Elith [aut], Jose Lahoz-Monfort [aut], Ian Flint [aut], Gurutzeta Guillera-Arroita [aut]
Maintainer: Roozbeh Valavi <valavi.r@gmail.com>

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Package bbssr updated to version 2.0.0 with previous version 1.0.2 dated 2025-06-18

Title: Blinded Sample Size Re-Estimation for Binary Endpoints
Description: Tools for blinded sample size re-estimation (BSSR) in two-arm clinical trials with binary endpoints, together with the exact power and sample size calculations that the re-estimation relies on. Five exact statistical tests are implemented: Pearson chi-squared, Fisher exact, Fisher mid-p, Z-pooled exact unconditional, and Boschloo exact unconditional. Each test is available with a one-sided or a two-sided alternative, and the exact unconditional tests can be combined with the Berger-Boos procedure. Sample sizes can be re-estimated either at the planning stage, to study the operating characteristics of a design, or from the blinded data of a trial that is under way. Statistical methods based on Mehrotra et al. (2003) <doi:10.1111/1541-0420.00051>, Berger and Boos (1994) <doi:10.1080/01621459.1994.10476836> and Kieser (2020) <doi:10.1007/978-3-030-49528-2_21>.
Author: Gosuke Homma [aut, cre]
Maintainer: Gosuke Homma <my.name.is.gosuke@gmail.com>

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Package tidyweather updated to version 0.3.0 with previous version 0.2.0 dated 2026-02-19

Title: Analysis the Weather Data for Agriculture
Description: Functions are collected to analyse weather data for agriculture purposes including to read weather records in multiple formats, calculate extreme climate index. Demonstration data are included the SILO daily climate data (licensed under CC BY 4.0, <https://www.longpaddock.qld.gov.au/silo/>).
Author: Bangou Zheng [aut, cre]
Maintainer: Bangou Zheng <zheng.bangyou@gmail.com>

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Package salmonMSE updated to version 3.0.0 with previous version 2.1.0 dated 2026-04-25

Title: Management Strategy Evaluation for Salmon Species
Description: Simulation tools to evaluate the long-term effects of salmon management strategies, including a combination of habitat, harvest, and habitat actions. The stochastic age-structured operating model accommodates complex life histories, including freshwater survival across early life stages, juvenile survival and fishery exploitation in the marine life stage, partial maturity by age class, and fitness impacts of hatchery programs on natural spawning populations. 'salmonMSE' also provides an age-structured conditioning model to develop operating models fitted to data.
Author: Quang Huynh [aut, cre]
Maintainer: Quang Huynh <quang@bluematterscience.com>

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Package Rdrw updated to version 1.0.4 with previous version 1.0.3 dated 2026-07-02

Title: Univariate and Multivariate Damped Random Walk Processes
Description: Provides tools for fitting and simulating univariate and multivariate damped random walk processes, also known as Ornstein-Uhlenbeck processes or first-order continuous-time autoregressive models, CAR(1) or CARMA(1, 0). The package supports irregularly spaced observation times, heteroscedastic measurement errors, missing measurements across multivariate time series, and polynomial mean trends in normalized time. The current implementation models up to ten time series jointly. Kalman filtering is used to evaluate the likelihood efficiently. Polynomial mean coefficients are handled conditionally within the Kalman recursion, reducing the dimension of numerical maximum likelihood optimization and permitting exact Gaussian conditional updates during Bayesian posterior sampling. Maximum likelihood estimation is computationally efficient and suitable for large-scale data analysis, while Bayesian posterior sampling is better suited to small-scale analyses requiring more careful uncertainty qua [...truncated...]
Author: Zhirui Hu [aut], Hyungsuk Tak [aut, cre]
Maintainer: Hyungsuk Tak <hyungsuk.tak@gmail.com>

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Package rcatfish updated to version 1.0.5 with previous version 1.0.4 dated 2026-07-07

Title: An R Interface to the California Academy of Sciences Eschmeyer's Catalog of Fishes
Description: Accesses the California Academy of Sciences Eschmeyer's Catalog of Fishes in R using web requests. The Catalog of fishes is the leading authority in fish taxonomy. Functions in the package allow users to search for fish taxa and valid names, retrieve taxonomic references, retrieve monthly taxonomic changes, obtain natural history collection information, and see the number of species by taxonomic group. For more information on the Catalog: Fricke, R., Eschmeyer, W. N. & R. van der Laan (eds) 2025. ESCHMEYER'S CATALOG OF FISHES <https://researcharchive.calacademy.org/research/ichthyology/catalog/fishcatmain.asp>.
Author: Samuel R. Borstein [aut, cre], Brandon Dominy [aut], Brian O'Meara [aut]
Maintainer: Samuel R. Borstein <sam@borstein.com>

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Package nimbleMacros updated to version 0.1.3 with previous version 0.1.1 dated 2025-03-11

Title: Macros Generating 'nimble' Code
Description: Macros to generate 'nimble' code from a concise syntax. Included are macros for generating linear modeling code using a formula-based syntax and for building for() loops. For more details review the 'nimble' manual: <https://r-nimble.org/manual/cha-user-defined.html#sec:user-macros>.
Author: Ken Kellner [cre, aut], Perry de Valpine [aut], Christopher Paciorek [aut], Daniel Turek [aut]
Maintainer: Ken Kellner <contact@kenkellner.com>

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Package inti updated to version 0.7.3 with previous version 0.7.2 dated 2026-07-28

Title: Tools and Statistical Procedures in Plant Science
Description: The 'inti' package is part of the 'inkaverse' project for developing different procedures and tools used in plant science and experimental designs. The mean aim of the package is to support researchers during the planning of experiments and data collection (tarpuy()), data analysis and graphics (yupana()) , and scientific writing. Learn more about the 'inkaverse' project at <https://inkaverse.com/>.
Author: Flavio Lozano-Isla [aut, cre] , Yoel Diaz-Saucedo [aut] , Maria Belen Kistner [ctb] , QuipoLab [ctb], Inkaverse [cph]
Maintainer: Flavio Lozano-Isla <flozanoisla@gmail.com>

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Package exametrika updated to version 2.0.0 with previous version 1.15.0 dated 2026-07-15

Title: Test Data Engineering
Description: Implements comprehensive test data engineering methods as described in Shojima (2022, ISBN:978-9811699856). Provides statistical techniques for engineering and processing test data: Classical Test Theory (CTT) with reliability coefficients for continuous ability assessment; Item Response Theory (IRT) including Rasch, 2PL, and 3PL models with item/test information functions; Latent Class Analysis (LCA) for nominal clustering; Latent Rank Analysis (LRA) for ordinal clustering with automatic determination of cluster numbers; Biclustering methods including infinite relational models for simultaneous clustering of examinees and items without predefined cluster numbers; and Bayesian Network Models (BNM) for visualizing inter-item dependencies. Features local dependence analysis through LRA and biclustering, parameter estimation, dimensionality assessment, and network structure visualization for educational, psychological, and social science research.
Author: Koji Kosugi [aut, cre]
Maintainer: Koji Kosugi <kosugitti@gmail.com>

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Package DEoptimR updated to version 1.2-1 with previous version 1.2-0 dated 2026-06-07

Title: Differential Evolution Optimization in Pure R
Description: Differential Evolution (DE) stochastic heuristic algorithms for global optimization of problems with and without general constraints. The aim is to curate a collection of its variants that (1) do not sacrifice simplicity of design, (2) are essentially tuning-free, and (3) can be efficiently implemented directly in the R language. Currently, it provides implementations of the algorithms 'jDE' by Brest et al. (2006) <doi:10.1109/TEVC.2006.872133> for single-objective optimization and 'NCDE' by Qu et al. (2012) <doi:10.1109/TEVC.2011.2161873> for multimodal optimization (single-objective problems with multiple solutions).
Author: Eduardo L. T. Conceicao [aut, cre], Martin Maechler [ctb]
Maintainer: Eduardo L. T. Conceicao <mail@eduardoconceicao.org>

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Package BsplineQuantReg updated to version 0.2.5 with previous version 0.2.2 dated 2026-07-28

Title: 'Constrained Quantile Regression with B-Splines'
Description: Quantile regression with B-splines under shape constraints. The initial version with cubic splines is now augmented with splines of degree 1 to 4. Constraints for degrees 3 (monotone) and 4 (monotone and convex) use the Karlin-Studden SOCP characterization for the sign of the polynomial, while other constraints applied at the knots are added as linear problems. The method for cubic splines is described in 'Abbes (2026)' <doi:10.5281/zenodo.17427913>. Other formulations are simple consequences of the other given references. All B-spline and polynomial functions have been rewritten for consistency. This package provides an original B-spline library for conversion between PP-form and B-spline representation, evaluation, differentiation, callable and non-callable objects, print human readable pp forms, view basis, all based on "De Boor\'s" theory. It also extends to multiple knots to catch up singularities. This feature is robust in the package including for constrained regression. T [...truncated...]
Author: Alexandre Abbes [aut, cre]
Maintainer: Alexandre Abbes <alexandre.abbes@proton.me>

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Package BioTooltipR updated to version 0.1.1 with previous version 0.1.0 dated 2026-06-30

Title: Add Bio Tooltips to HTML Reports
Description: Provides lightweight helpers for adding gene and chemical tooltips to 'R Markdown', 'Quarto', 'shiny', 'pkgdown', and other HTML outputs. The package emits small HTML spans with module-specific data attributes and attaches the browser-side 'bio-tooltips' JavaScript and CSS assets through 'htmltools'. Entity lookup and rendering are handled in the browser by 'bio-tooltips'; this package does not query biological databases from R during package checks.
Author: Matthew J. Meier [aut, cre]
Maintainer: Matthew J. Meier <matthew.meier@hc-sc.gc.ca>

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Package bayesqm updated to version 0.2.0 with previous version 0.1.0 dated 2026-06-17

Title: Bayesian Q Methodology: Exact Rank-Order Likelihood for Forced Q Sorts
Description: A Bayesian analysis for Q methodology, alongside the classical one. Models the forced Q sort as an ordered partition of the statements through an exact rank-order likelihood (the design quotas fix the partition margins, so the likelihood of the observed sorting event is exact), fits it by a parameter-expanded Gibbs sampler in R with no compiled code and a convergence gate on rotation-invariant functionals, resolves rotational ambiguity via the MatchAlign post-processing of Poworoznek et al. (2025) <doi:10.1214/25-BA1544>, and returns the familiar Q tables as posterior summaries: credible intervals for bounded participant loadings, flag probabilities with an explicit unclassified state, quota-respecting factor arrays, distinguishing and consensus statements judged against a posterior critical difference and a grid-width equivalence region, one posterior false-discovery rule for all published claims, and a two-signal posterior-predictive workflow for the number of factors.
Author: Raymond Dacosta Azadda [aut, cre] , Henry Ofoe Agbi-Kaiser [aut] , Hannah D. Robinson [aut] , AK-ACE Team [aut], Karsten Hueffer [aut], Taa'aii Peter [aut], Stacy Rasmus [aut]
Maintainer: Raymond Dacosta Azadda <rdazadda@alaska.edu>

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Package tteICE updated to version 1.1.5 with previous version 1.1.4 dated 2026-03-16

Title: Treatment Effect Estimation for Time-to-Event Data with Intercurrent Events
Description: Analysis of treatment effects in clinical trials with time-to-event outcomes is complicated by intercurrent events. This package implements methods for estimating and inferring the cumulative incidence functions for time-to-event (TTE) outcomes with intercurrent events (ICE) under the five strategies outlined in the ICH E9 (R1) addendum, see Deng (2025) <doi:10.1002/sim.70091>. This package can be used for analyzing data from both randomized controlled trials and observational studies. In general, the data involve a primary outcome event and, potentially, an intercurrent event. Two data structures are allowed: competing risks, where only the time to the first event is recorded, and semicompeting risks, where the times to both the primary outcome event and intercurrent event (or censoring) are recorded. For estimation methods, users can choose nonparametric estimation (which does not use covariates) and semiparametrically efficient estimation.
Author: Yuhao Deng [aut], Yi Zhou [cre]
Maintainer: Yi Zhou <yzhou@pku.edu.cn>

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Package REDCapR updated to version 1.7.0 with previous version 1.6.0 dated 2025-10-08

Title: Interaction Between R and REDCap
Description: Encapsulates functions to streamline calls from R to the REDCap API. REDCap (Research Electronic Data CAPture) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The Application Programming Interface (API) offers an avenue to access and modify data programmatically, improving the capacity for literate and reproducible programming.
Author: Will Beasley [aut, cre] , David Bard [ctb] , Thomas Wilson [ctb], John J Aponte [ctb], Rollie Parrish [ctb] , Benjamin Nutter [ctb], Andrew Peters [ctb] , Hao Zhu [ctb] , Janosch Linkersdoerfer [ctb] , Jonathan Mang [ctb] , Felix Torres [ctb], Philip [...truncated...]
Maintainer: Will Beasley <wibeasley@hotmail.com>

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 REDCapR-1.7.0/REDCapR/R/skippers.R                                                                          |   38 
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Permanent link

Package phylopath updated to version 1.4.0 with previous version 1.3.1 dated 2025-09-06

Title: Perform Phylogenetic Path Analysis
Description: A comprehensive and easy to use R implementation of confirmatory phylogenetic path analysis as described by Von Hardenberg and Gonzalez-Voyer (2012) <doi:10.1111/j.1558-5646.2012.01790.x>. Note that the required package 'ggm' depends on 'graph' from Bioconductor, which is not installed automatically; the simplest route is install.packages("BiocManager"); BiocManager::install("phylopath").
Author: Wouter van der Bijl [aut, cre]
Maintainer: Wouter van der Bijl <wouter@zoology.ubc.ca>

Diff between phylopath versions 1.3.1 dated 2025-09-06 and 1.4.0 dated 2026-08-20

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More information about phylopath at CRAN
Permanent link

Package outliertree updated to version 1.10.0-2 with previous version 1.10.0-1 dated 2026-03-05

Title: Explainable Outlier Detection Through Decision Tree Conditioning
Description: Outlier detection method that flags suspicious values within observations, constrasting them against the normal values in a user-readable format, potentially describing conditions within the data that make a given outlier more rare. Full procedure is described in Cortes (2020) <doi:10.48550/arXiv.2001.00636>. Loosely based on the 'GritBot' <https://www.rulequest.com/gritbot-info.html> software.
Author: David Cortes [aut, cre]
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

Diff between outliertree versions 1.10.0-1 dated 2026-03-05 and 1.10.0-2 dated 2026-08-20

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More information about outliertree at CRAN
Permanent link

Package ncpen readmission to version 1.0.1 with previous version 1.0.0 dated 2018-11-17

Title: Unified Algorithm for Non-Convex Penalized Estimation for Generalized Linear Models
Description: An efficient unified nonconvex penalized estimation algorithm for Gaussian (linear), binomial Logit (logistic), Poisson, multinomial Logit, and Cox proportional hazard regression models. The unified algorithm is implemented based on the convex concave procedure and the algorithm can be applied to most of the existing nonconvex penalties. The algorithm also supports convex penalty: least absolute shrinkage and selection operator (LASSO). Supported nonconvex penalties include smoothly clipped absolute deviation (SCAD), minimax concave penalty (MCP), truncated LASSO penalty (TLP), clipped LASSO (CLASSO), sparse ridge (SRIDGE), modified bridge (MBRIDGE) and modified log (MLOG). For high-dimensional data (data set with many variables), the algorithm selects relevant variables producing a parsimonious regression model. Kim, D., Lee, S. and Kwon, S. (2021) <doi:10.32614/RJ-2021-003>, Lee, S., Kwon, S. and Kim, Y. (2016) <doi:10.1016/j.csda.2015.08.019>, Kwon, S., Lee, S. and Kim, [...truncated...]
Author: Dongshin Kim [aut, cre, cph], Sunghoon Kwon [aut, cph], Sangin Lee [aut, cph]
Maintainer: Dongshin Kim <dongshin.kim@outlook.com>

This is a re-admission after prior archival of version 1.0.0 dated 2018-11-17

Diff between ncpen versions 1.0.0 dated 2018-11-17 and 1.0.1 dated 2026-08-20

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Permanent link

Package mirt updated to version 1.47 with previous version 1.46.1 dated 2026-03-07

Title: Multidimensional Item Response Theory
Description: Analysis of discrete response data using unidimensional and multidimensional item analysis models under the Item Response Theory paradigm (Chalmers (2012) <doi:10.18637/jss.v048.i06>). Exploratory and confirmatory item factor analysis models are estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory bi-factor and two-tier models are available for modeling item testlets using dimension reduction EM algorithms, while multiple group analyses and mixed effects designs are included for detecting differential item, bundle, and test functioning, and for modeling item and person covariates. Finally, latent class models such as the DINA, DINO, multidimensional latent class, mixture IRT models, and zero-inflated response models are supported, as well as a wide family of probabilistic unfolding models.
Author: Phil Chalmers [aut, cre] , Joshua Pritikin [ctb], Alexander Robitzsch [ctb], Mateusz Zoltak [ctb], KwonHyun Kim [ctb], Carl F. Falk [ctb], Adam Meade [ctb], Lennart Schneider [ctb], David King [ctb], Chen-Wei Liu [ctb], Ogreden Oguzhan [ctb], Samuel [...truncated...]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

Diff between mirt versions 1.46.1 dated 2026-03-07 and 1.47 dated 2026-08-20

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Package lava updated to version 1.9.3 with previous version 1.9.2 dated 2026-06-30

Title: Latent Variable Models
Description: A general implementation of Structural Equation Models with latent variables (MLE, 2SLS, and composite likelihood estimators) with both continuous, censored, and ordinal outcomes (Holst and Budtz-Joergensen (2013) <doi:10.1007/s00180-012-0344-y>). Mixture latent variable models and non-linear latent variable models (Holst and Budtz-Joergensen (2020) <doi:10.1093/biostatistics/kxy082>). The package also provides methods for graph exploration (d-separation, back-door criterion), simulation of general non-linear latent variable models, and estimation of influence functions for a broad range of statistical models.
Author: Klaus K. Holst [aut, cre], Benedikt Sommer [ctb], Brice Ozenne [ctb], Thomas Gerds [ctb]
Maintainer: Klaus K. Holst <klaus@holst.it>

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Package tirt updated to version 0.4.0 with previous version 0.3.1 dated 2026-03-24

Title: Testlet Item Response Theory
Description: Implementation of Testlet and Item Response Theory. A light-version yet comprehensive and streamlined framework for psychometric analysis using unidimensional and multidimensional Item Response Theory (IRT; Baker & Kim (2004) <doi:10.1201/9781482276725>) and Testlet Response Theory (TRT; Wainer et al., (2007) <doi:10.1017/CBO9780511618765>). Designed for researchers, this package supports the estimation of item and person parameters for a wide variety of models, including binary (i.e., Rasch, 2-Parameter Logistic, 3-Parameter Logistic) and polytomous (Partial Credit Model, Generalized Partial Credit Model, Graded Response Model) formats. It also supports the estimation of Testlet models (Rasch Testlet, 2-Parameter Logistic Testlet, 3-Parameter Logistic Testlet, Bifactor, Partial Credit Model Testlet, Graded Response), allowing users to account for local item dependence in bundled items. A key feature is the specialized support for combination use and joint estimation of [...truncated...]
Author: Jiawei Xiong [aut, cre], Cheng Tang [ctb], Qidi Liu [ctb]
Maintainer: Jiawei Xiong <jiawei.xiong@uga.edu>

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Package SVEMnet updated to version 3.5.0 with previous version 3.2.3 dated 2026-07-02

Title: Self-Validated Ensemble Models with Lasso and Relaxed Elastic Net Regression
Description: Tools for fitting self-validated ensemble models (SVEM; Lemkus et al. (2021) <doi:10.1016/j.chemolab.2021.104439>) in small-sample design-of-experiments and related workflows, using elastic net and relaxed elastic net regression via 'glmnet' (Friedman et al. (2010) <doi:10.18637/jss.v033.i01>). Fractional random-weight bootstraps with anti-correlated validation copies are used to tune penalty paths by validation-weighted AIC/BIC. Supports Gaussian and binomial responses, deterministic expansion helpers for shared factor spaces, prediction with bootstrap uncertainty, a random-search optimizer that respects mixture constraints and combines multiple responses via desirability functions, and a batch sequential-design proposer based on Thompson sampling from the bootstrap ensemble (Thompson (1933) <doi:10.1093/biomet/25.3-4.285>; Kandasamy et al. (2018) <doi:10.48550/arXiv.1705.09236>). Also includes a permutation-based whole-model test for Gaussian SVEM fits (Karl ( [...truncated...]
Author: Andrew T. Karl [cre, aut]
Maintainer: Andrew T. Karl <akarl@asu.edu>

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Package RIFanalysis updated to version 0.9.2 with previous version 0.9.1 dated 2026-08-08

Title: Relative Importance Factor Analysis
Description: Tools for estimating, comparing, and visualizing Relative Importance Factor (RIF) indices based on rank-frequency distributions and discrete power-law models. The package provides reproducible workflows for data preparation, model fitting, goodness-of-fit assessment, bootstrap inference, and publication-ready outputs. The implemented methodology is described in Llinas et al. (2026) <doi:10.3390/math14060966>.
Author: Humberto J. Llinas M. [aut, cre], Humberto J. Llinas S. [aut], Javier A. De la Hoz M. [aut], Brian J. Llinas M. [aut], Jose J. Padilla [aut]
Maintainer: Humberto J. Llinas M. <lhumberto@uninorte.edu.co>

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Package praznik updated to version 13.0.0 with previous version 12.0.0 dated 2025-11-11

Title: Tools for Information-Based Feature Selection and Scoring
Description: A toolbox of fast, native and parallel implementations of various information-based importance criteria estimators and feature selection filters based on them, inspired by the overview by Brown, Pocock, Zhao and Lujan (2012) <https://www.jmlr.org/papers/v13/brown12a.html>. Contains, among other, minimum redundancy maximal relevancy ('mRMR') method by Peng, Long and Ding (2005) <doi:10.1109/TPAMI.2005.159>; joint mutual information ('JMI') method by Yang and Moody (1999) <https://papers.nips.cc/paper/1779-data-visualization-and-feature-selection-new-algorithms-for-nongaussian-data>; double input symmetrical relevance ('DISR') method by Meyer and Bontempi (2006) <doi:10.1007/11732242_9> as well as joint mutual information maximisation ('JMIM') method by Bennasar, Hicks and Setchi (2015) <doi:10.1016/j.eswa.2015.07.007>.
Author: Miron B. Kursa [aut, cre]
Maintainer: Miron B. Kursa <m@mbq.me>

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Package isodistrreg updated to version 0.5.2 with previous version 0.1.0 dated 2021-03-22

Title: Isotonic Distributional Regression (IDR)
Description: Distributional regression under stochastic order restrictions for numeric and binary response variables and partially ordered covariates, including right-censored responses via Survival-IDR. See Henzi, Ziegel, Gneiting (2021) <doi:10.1111/rssb.12450> and Bladt, Henzi, van den Heuvel, Ziegel (2026) <doi:10.48550/arXiv.2608.02914>.
Author: Bram van den Heuvel [aut, cre], Alexander Henzi [aut], Martin Bladt [aut], Johanna Ziegel [ths]
Maintainer: Bram van den Heuvel <bram.vandenheuvel@stat.math.ethz.ch>

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Package fru updated to version 1.0.0 with previous version 0.0.7 dated 2026-05-07

Title: A Blazing Fast Implementation of Random Forest
Description: Yet another implementation of the Random Forest method by Breiman (2001) <doi:10.1023/A:1010933404324>, written in Rust and tailored towards stability, correctness, efficiency and scalability on modern multi-core machines. Handles both classification and regression, as well as provides permutation feature importance via a novel, highly optimised algorithm.
Author: Miron Bartosz Kursa [aut, cre] , Krzysztof Piotr Piwonski [aut]
Maintainer: Miron Bartosz Kursa <m@mbq.me>

Diff between fru versions 0.0.7 dated 2026-05-07 and 1.0.0 dated 2026-08-20

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Package FCPS updated to version 1.4.1 with previous version 1.4.0 dated 2026-07-15

Title: Fundamental Clustering Problems Suite
Description: Over sixty clustering algorithms are provided in this package with consistent input and output, which enables the user to try out algorithms swiftly. Additionally, 26 statistical approaches for the estimation of the number of clusters as well as the mirrored density plot (MD-plot) of clusterability are implemented. The packages is published in Thrun, M.C., Stier Q.: "Fundamental Clustering Algorithms Suite" (2021), SoftwareX, <DOI:10.1016/j.softx.2020.100642>. Moreover, the fundamental clustering problems suite (FCPS) offers a variety of clustering challenges any algorithm should handle when facing real world data, see Thrun, M.C., Ultsch A.: "Clustering Benchmark Datasets Exploiting the Fundamental Clustering Problems" (2020), Data in Brief, <DOI:10.1016/j.dib.2020.105501>.
Author: Michael Thrun [aut, cre, cph] , Peter Nahrgang [ctr, ctb], Felix Pape [ctr, ctb], Vasyl Pihur [ctb], Guy Brock [ctb], Susmita Datta [ctb], Somnath Datta [ctb], Luis Winckelmann [com], Alfred Ultsch [dtc, ctb], Quirin Stier [ctb, rev]
Maintainer: Michael Thrun <m.thrun@gmx.net>

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Package broadcast updated to version 0.1.9.5 with previous version 0.1.9 dated 2026-05-29

Title: Broadcasted Array Operations Like 'NumPy'
Description: Implements efficient 'NumPy'-like broadcasted operations for atomic and recursive arrays. In the context of operations involving 2 (or more) arrays, “broadcasting” (AKA singleton expansion) refers to efficiently recycling array dimensions, without making copies. Besides linking to 'Rcpp', 'broadcast' does not use any external libraries in any way; 'broadcast' was essentially made from scratch and can be installed out-of-the-box. The implementations available in 'broadcast' include, but are not limited to, the following. 1) Broadcasted element-wise operations on any 2 arrays; they support a large set of relational, arithmetic, Boolean, string, and bit-wise operations. 2) A faster, more memory efficient, and broadcasted abind-like function, for binding arrays along an arbitrary dimension. 3) Broadcasted ifelse-like and apply-like functions. 4) Casting functions, that cast subset-groups of an array to a new dimension, cast nested lists to dimensional lists, and vice-versa. 5) A few linear [...truncated...]
Author: Tony Wilkes [aut, cre, cph]
Maintainer: Tony Wilkes <tonywilkes.nl@gmail.com>

Diff between broadcast versions 0.1.9 dated 2026-05-29 and 0.1.9.5 dated 2026-08-20

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Package acR updated to version 0.3.3 with previous version 0.3.2 dated 2026-08-07

Title: Content Analysis in R: Integrated Qualitative (LLMs) and Quantitative Pipeline
Description: Provides an integrated pipeline for content analysis combining qualitative coding assisted by large language models (LLMs) with classical quantitative text analysis. Includes modules for pre-processing (tokenization, stopwords for Brazilian Portuguese), descriptive statistics, keyness, co-occurrence networks, word clouds (including comparative and X-ray variants), sentiment analysis via OpLexicon, Latent Dirichlet Allocation (LDA), inter-coder reliability metrics (Krippendorff, Gwet), and modern visualizations based on ggplot2. Special focus on Brazilian corpora and political-institutional codebooks. Inspired by Maerz and Benoit (2025) <https://quallmer.github.io/quallmer/>.
Author: Anderson Henrique [aut, cre]
Maintainer: Anderson Henrique <anderson.henrique@usp.br>

Diff between acR versions 0.3.2 dated 2026-08-07 and 0.3.3 dated 2026-08-20

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Package vasicekreg updated to version 1.1.0 with previous version 1.0.2 dated 2026-01-12

Title: Regression Modeling Using Vasicek Distribution
Description: Provides density, cumulative distribution, quantile, and random generation functions for Vasicek distributions with standard normal and standard logistic kernels. The normal-kernel distribution is parameterized by either its mean or a fixed quantile, whereas the logistic-kernel distribution uses a fixed-quantile parameterization. Zero-adjusted, one-adjusted, and zero-and-one-adjusted extensions of the normal-kernel mean parameterization are also provided for responses that include boundary values. The corresponding 'NVASIM', 'NVASIQ', 'LVASIQ', 'ZANVASIM', 'OANVASIM', and 'ZOANVASIM' families are available for fitting Generalized Additive Models for Location, Scale and Shape, as introduced by Rigby and Stasinopoulos (2005, <doi:10.1111/j.1467-9876.2005.00510.x>). Some functions are written in 'C++' using 'Rcpp', developed by Eddelbuettel and Francois (2011, <doi:10.18637/jss.v040.i08>).
Author: Josmar Mazucheli [aut, cre], Bruna Alves [ctb]
Maintainer: Josmar Mazucheli <jmazucheli@gmail.com>

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Package TrackTrap updated to version 1.0.1 with previous version 1.0.0 dated 2026-06-13

Title: Model Cumulative Growing Degree-Days for Pest Monitoring
Description: Pest monitoring is crucial, especially during the early season, to understand the distribution and the proliferation of the target pest. Raw count data from pest monitoring/traps can be coupled with derived environmental variables such as growing degree-day ('GDD') to get useful insights about the pest phenology. This package pulls temperature data from the 'Daymet' application programming interface ('API', <https://daymet.ornl.gov>), or 'Open-Meteo' ('API', <https://open-meteo.com/>) or manual user-supplied CSV file from the California Irrigation Management Information System ('CIMIS', <https://cimis.water.ca.gov>), for a user-specified time period and calculates cumulative growing degree-days. Users provide intended date range, pest of concern, and the geographic coordinates of the trap location to track pest emergence and phenology throughout the growing season.
Author: Santosh Bhandari [aut, cre], Lalit Kharel [aut], Mahesh Ghimire [aut]
Maintainer: Santosh Bhandari <santoshbhandari4556@gmail.com>

Diff between TrackTrap versions 1.0.0 dated 2026-06-13 and 1.0.1 dated 2026-08-20

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Package WDI updated to version 2.8.0 with previous version 2.7.10 dated 2026-04-05

Title: World Development Indicators and Other World Bank Data
Description: Search and download data from over 40 databases hosted by the World Bank, including the World Development Indicators ('WDI'), International Debt Statistics, Doing Business, Human Capital Index, and Sub-national Poverty indicators.
Author: Vincent Arel-Bundock [aut, cre] , Etienne Bacher [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

Diff between WDI versions 2.7.10 dated 2026-04-05 and 2.8.0 dated 2026-08-20

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Package unmarked updated to version 1.5.2 with previous version 1.5.1 dated 2025-09-26

Title: Models for Data from Unmarked Animals
Description: Fits hierarchical models of animal abundance and occurrence to data collected using survey methods such as point counts, site occupancy sampling, distance sampling, removal sampling, and double observer sampling. Parameters governing the state and observation processes can be modeled as functions of covariates. References: Kellner et al. (2023) <doi:10.1111/2041-210X.14123>, Fiske and Chandler (2011) <doi:10.18637/jss.v043.i10>.
Author: Richard Chandler [aut], Ken Kellner [cre, aut], Ian Fiske [aut], David Miller [aut], Andy Royle [aut], Jeff Hostetler [aut], Rebecca Hutchinson [aut], Adam Smith [aut], Lea Pautrel [aut], Marc Kery [ctb], Mike Meredith [ctb], Auriel Fournier [ctb], A [...truncated...]
Maintainer: Ken Kellner <contact@kenkellner.com>

Diff between unmarked versions 1.5.1 dated 2025-09-26 and 1.5.2 dated 2026-08-20

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Package tweedieDistr updated to version 0.2.0 with previous version 0.1.1 dated 2026-07-23

Title: Tweedie Distribution
Description: Provides density, distribution function, quantile function, and random generation for the Tweedie distribution under the compound Poisson-Gamma parameterisation with power parameter in (1, 2). The density is evaluated using the series expansion of Dunn and Smyth (2005) <doi:10.1007/s11222-005-4070-y>, implemented in C++ via 'Rcpp' and 'RcppArmadillo' for performance. A constructor compatible with the 'distributional' package is also provided for use in tidy modelling workflows.
Author: Stefano Damato [aut, cre]
Maintainer: Stefano Damato <stefanodamato128@gmail.com>

Diff between tweedieDistr versions 0.1.1 dated 2026-07-23 and 0.2.0 dated 2026-08-20

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Package tinytable updated to version 0.18.0 with previous version 0.17.0 dated 2026-06-26

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

Diff between tinytable versions 0.17.0 dated 2026-06-26 and 0.18.0 dated 2026-08-20

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Package smerc updated to version 1.8.6 with previous version 1.8.4 dated 2024-10-24

Title: Statistical Methods for Regional Counts
Description: Implements statistical methods for analyzing the counts of areal data, with a focus on the detection of spatial clusters and clustering. The package has a heavy emphasis on spatial scan methods, which were first introduced by Kulldorff and Nagarwalla (1995) <doi:10.1002/sim.4780140809> and Kulldorff (1997) <doi:10.1080/03610929708831995>.
Author: Joshua French [aut, cre] , Mohammad Meysami [ctb]
Maintainer: Joshua French <joshua.french@ucdenver.edu>

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Package rstudio.prefs updated to version 0.2.0 with previous version 0.1.9 dated 2022-07-16

Title: Manage 'RStudio' Preferences and Addin Shortcuts
Description: Provides an interface for working with 'RStudio' preference files to modify settings and addin shortcuts without using point-and-click option menus. Useful for ensuring a unified experience across devices and for enforcing best practices. Also exposes some settings not available in the Global Options dialog.
Author: S.A. van der Wulp [aut, cre, cph], Daniel D. Sjoberg [aut, cph]
Maintainer: S.A. van der Wulp <vdwulp@gmail.com>

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Package RcppCWB updated to version 0.6.11 with previous version 0.6.10 dated 2025-09-30

Title: 'Rcpp' Bindings for the 'Corpus Workbench' ('CWB')
Description: 'Rcpp' Bindings for the C code of the 'Corpus Workbench' ('CWB'), an indexing and query engine to efficiently analyze large corpora (<https://cwb.sourceforge.io>). 'RcppCWB' is licensed under the GNU GPL-3, in line with the GPL-3 license of the 'CWB' (<https://www.r-project.org/Licenses/GPL-3>). The 'CWB' relies on 'pcre2' (BSD license, see <https://github.com/PCRE2Project/pcre2/blob/master/LICENCE.md>) and 'GLib' (LGPL license, see <https://www.gnu.org/licenses/lgpl-3.0.en.html>). See the file LICENSE.note for further information. The package includes modified code of the 'rcqp' package (GPL-2, see <https://cran.r-project.org/package=rcqp>). The original work of the authors of the 'rcqp' package is acknowledged with great respect, and they are listed as authors of this package. To achieve cross-platform portability (including Windows), using 'Rcpp' for wrapper code is the approach used by 'RcppCWB'.
Author: Andreas Blaette [aut, cre], Bernard Desgraupes [aut], Sylvain Loiseau [aut], Oliver Christ [ctb], Bruno Maximilian Schulze [ctb], Stephanie Evert [ctb], Arne Fitschen [ctb], Jeroen Ooms [ctb], Marius Bertram [ctb], Tomas Kalibera [ctb]
Maintainer: Andreas Blaette <andreas.blaette@uni-due.de>

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Package rcompanion updated to version 2.5.4 with previous version 2.5.2 dated 2026-01-11

Title: Functions to Support Extension Education Program Evaluation
Description: Functions and datasets to support Summary and Analysis of Extension Program Evaluation in R, and An R Companion for the Handbook of Biological Statistics. Vignettes are available at <https://rcompanion.org>.
Author: Salvatore Mangiafico [aut, cre]
Maintainer: Salvatore Mangiafico <mangiafico@njaes.rutgers.edu>

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Package rangr updated to version 1.0.10 with previous version 1.0.9 dated 2026-01-23

Title: Mechanistic Simulation of Species Range Dynamics
Description: Integrates population dynamics and dispersal into a mechanistic virtual species simulator. The package can be used to study the effects of environmental change on population growth and range shifts. It allows for simple and straightforward definition of population dynamics (including positive density dependence), extensive possibilities for defining dispersal kernels, and the ability to generate virtual ecologist data. Learn more about the 'rangr' at <https://docs.ropensci.org/rangr/>.
Author: Katarzyna Markowska [aut, cre], Lechoslaw Kuczynski [aut], Tad Dallas [rev], Joanne Potts [rev]
Maintainer: Katarzyna Markowska <katarzyna.markowska@amu.edu.pl>

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Package palm updated to version 1.1.7 with previous version 1.1.6 dated 2025-07-25

Title: Fitting Point Process Models via the Palm Likelihood
Description: Functions to fit point process models using the Palm likelihood. First proposed by Tanaka, Ogata, and Stoyan (2008) <DOI:10.1002/bimj.200610339>, maximisation of the Palm likelihood can provide computationally efficient parameter estimation for point process models in situations where the full likelihood is intractable. This package is chiefly focused on Neyman-Scott point processes, but can also fit the void processes proposed by Jones-Todd et al. (2019) <DOI:10.1002/sim.8046>. The development of this package was motivated by the analysis of capture-recapture surveys on which individuals cannot be identified---the data from which can conceptually be seen as a clustered point process (Stevenson, Borchers, and Fewster, 2019 <DOI:10.1111/biom.12983>). As such, some of the functions in this package are specifically for the estimation of cetacean density from two-camera aerial surveys.
Author: Ben C. Stevenson [aut, cre]
Maintainer: Ben C. Stevenson <ben.stevenson@st-andrews.ac.uk>

Diff between palm versions 1.1.6 dated 2025-07-25 and 1.1.7 dated 2026-08-20

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Package msigdbr updated to version 26.1.1 with previous version 26.1.0 dated 2026-03-12

Title: MSigDB Gene Sets for Multiple Organisms in a Tidy Data Format
Description: Provides the 'Molecular Signatures Database' (MSigDB) gene sets typically used with the 'Gene Set Enrichment Analysis' (GSEA) software (Subramanian et al. 2005 <doi:10.1073/pnas.0506580102>, Liberzon et al. 2015 <doi:10.1016/j.cels.2015.12.004>, Castanza et al. 2023 <doi:10.1038/s41592-023-02014-7>) as an R data frame. The package includes the human genes as listed in MSigDB as well as the corresponding symbols and IDs for frequently studied model organisms such as mouse, rat, pig, fly, and yeast.
Author: Igor Dolgalev [aut, cre, cph]
Maintainer: Igor Dolgalev <igor.dolgalev@nyumc.org>

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Package mritc updated to version 0.6.2 with previous version 0.6.1 dated 2026-08-04

Title: MRI Tissue Classification
Description: Implements various methods for tissue classification in magnetic resonance (MR) images of the brain, including normal mixture models and hidden Markov normal mixture models, as outlined in Feng & Tierney (2011) <doi:10.18637/jss.v044.i07>. These methods allow a structural MR image to be classified into gray matter, white matter and cerebrospinal fluid tissue types.
Author: Dai Feng [aut], Luke Tierney [aut], Jon Clayden [cre, aut]
Maintainer: Jon Clayden <code@clayden.org>

Diff between mritc versions 0.6.1 dated 2026-08-04 and 0.6.2 dated 2026-08-20

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Package MAIVE updated to version 0.2.5 with previous version 0.2.4 dated 2026-02-04

Title: Meta Analysis Instrumental Variable Estimator
Description: Meta-analysis traditionally assigns more weight to studies with lower standard errors, assuming higher precision. However, in observational research, precision must be estimated and is vulnerable to manipulation, such as p-hacking, to achieve statistical significance. This can lead to spurious precision, invalidating inverse-variance weighting and bias-correction methods like funnel plots. Common methods for addressing publication bias, including selection models, often fail or exacerbate the problem. This package introduces an instrumental variable approach to limit bias caused by spurious precision in meta-analysis. Methods are described in 'Irsova et al.' (2025) <doi:10.1038/s41467-025-63261-0>.
Author: Zuzana Irsova [aut] , Pedro R. D. Bom [aut] , Tomas Havranek [aut] , Heiko Rachinger [aut] , Petr Cala [aut, cre]
Maintainer: Petr Cala <cala.p@seznam.cz>

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Package distributions3 updated to version 0.3.0 with previous version 0.2.4 dated 2026-07-22

Title: Probability Distributions as S3 Objects
Description: Tools to create and manipulate probability distributions using S3. Generics pdf(), cdf(), quantile(), and random() provide replacements for base R's d/p/q/r style functions. Functions and arguments have been named carefully to minimize confusion for students in intro stats courses. The documentation for each distribution contains detailed mathematical notes.
Author: Alex Hayes [aut] , Ralph Moller-Trane [aut] , Daniel Jordan [aut], Paul Northrop [aut] , Moritz N. Lang [aut] , Reto Stauffer [aut] , Achim Zeileis [aut, cre] , Emil Hvitfeldt [ctb] , Bruna Wundervald [ctb] , Alessandro Gasparini [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package countrycode updated to version 1.9.0 with previous version 1.8.0 dated 2026-04-16

Title: Convert Country Names and Country Codes
Description: Standardize country names, convert them into one of 40 different coding schemes, convert between coding schemes, and assign region descriptors.
Author: Vincent Arel-Bundock [aut, cre] , CJ Yetman [ctb] , Nils Enevoldsen [ctb] , Etienne Bacher [ctb] , Samuel Meichtry [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

Diff between countrycode versions 1.8.0 dated 2026-04-16 and 1.9.0 dated 2026-08-20

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Package box updated to version 1.2.3 with previous version 1.2.2 dated 2026-04-10

Title: Write Reusable, Composable and Modular R Code
Description: A modern module system for R. Organise code into hierarchical, composable, reusable modules, and use it effortlessly across projects via a flexible, declarative dependency loading syntax.
Author: Konrad Rudolph [aut, cre] , Michael Schubert [ctb]
Maintainer: Konrad Rudolph <konrad.rudolph@gmail.com>

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Package bit64 updated to version 4.8.4 with previous version 4.8.2 dated 2026-05-19

Title: A S3 Class for Vectors of 64bit Integers
Description: Package 'bit64' provides serializable S3 atomic 64bit (signed) integers. These are useful for handling database keys and exact counting in +-2^63. WARNING: do not use them as replacement for 32bit integers, integer64 are not supported for subscripting by R-core and they have different semantics when combined with double, e.g. integer64 + double => integer64. Class integer64 can be used in vectors, matrices, arrays and data.frames. Methods are available for coercion from and to logicals, integers, doubles, characters and factors as well as many elementwise and summary functions. Many fast algorithmic operations such as 'match' and 'order' support inter- active data exploration and manipulation and optionally leverage caching.
Author: Michael Chirico [aut, cre], Jens Oehlschlaegel [aut], Leonardo Silvestri [ctb], Ofek Shilon [ctb], Christian Ullerich [ctb]
Maintainer: Michael Chirico <michaelchirico4@gmail.com>

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Package attachment updated to version 1.1.0 with previous version 1.0.0 dated 2026-04-25

Title: Deal with Dependencies
Description: Manage dependencies during package development. This can retrieve all dependencies that are used in ".R" files in the "R/" directory, in ".Rmd" files in "vignettes/" directory and in 'roxygen2' documentation of functions. There is a function to update the "DESCRIPTION" file of your package with 'CRAN' packages or any other remote package. All functions to retrieve dependencies of ".R" scripts and ".Rmd" or ".qmd" files can be used independently of a package development.
Author: Vincent Guyader [cre, aut] , Sebastien Rochette [aut] , Murielle Delmotte [aut] , Swann Floc'hlay [aut] , ThinkR [cph, fnd]
Maintainer: Vincent Guyader <vincent@thinkr.fr>

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Package artma updated to version 0.4.1 with previous version 0.3.3 dated 2026-02-11

Title: Automatic Replication Tools for Meta-Analysis
Description: Provides a unified and straightforward interface for performing a variety of meta-analysis methods directly from user data. Users can input a data frame, specify key parameters, and effortlessly execute and compare multiple common meta-analytic models. Designed for immediate usability, the package facilitates transparent, reproducible research without manual implementation of each analytical method. Ideal for researchers aiming for efficiency and reproducibility, it streamlines workflows from data preparation to results interpretation.
Author: Petr Čala [aut, cre]
Maintainer: Petr Čala <61505008@fsv.cuni.cz>

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Package jointNmix updated to version 1.0-1 with previous version 1.0 dated 2016-11-11

Title: Joint N-Mixture Models for Site-Associated Species
Description: Fits univariate and joint N-mixture models for data on two unmarked site-associated species. Includes functions to estimate latent abundances through empirical Bayes methods.
Author: Rafael de Andrade Moral [aut, cre], Clarice Garcia Borges Demetrio [aut], John Hinde [aut]
Maintainer: Rafael de Andrade Moral <rafael_moral@yahoo.com.br>

Diff between jointNmix versions 1.0 dated 2016-11-11 and 1.0-1 dated 2026-08-20

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More information about jointNmix at CRAN
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