Tue, 28 Jul 2026

Package visreg updated to version 3.0.0 with previous version 2.8.1 dated 2026-07-08

Title: Visualization of Regression Models
Description: Provides a convenient interface for constructing plots to visualize the fit of regression models arising from a wide variety of models in R ('lm', 'glm', 'coxph', 'rlm', 'gam', 'locfit', 'lmer', 'randomForest', etc.)
Author: Patrick Breheny [aut, cre] , Woodrow Burchett [ctb]
Maintainer: Patrick Breheny <patrick-breheny@uiowa.edu>

Diff between visreg versions 2.8.1 dated 2026-07-08 and 3.0.0 dated 2026-07-28

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 visreg-3.0.0/visreg/R/visreg.R                            |  292 ++++------
 visreg-3.0.0/visreg/R/visreg2d.R                          |  151 ++---
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 visreg-3.0.0/visreg/inst/tinytest/enhances-randomForest.R |   12 
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 visreg-3.0.0/visreg/inst/tinytest/missing-data.R          |   97 +--
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 visreg-3.0.0/visreg/inst/tinytest/top.R                   |   45 -
 visreg-3.0.0/visreg/inst/tinytest/unusual-formulas.R      |   61 +-
 visreg-3.0.0/visreg/inst/tinytest/visreg-contrast.R       |   51 +
 visreg-3.0.0/visreg/inst/tinytest/visreg-coxph.R          |   37 -
 visreg-3.0.0/visreg/inst/tinytest/visreg-glm.R            |   59 +-
 visreg-3.0.0/visreg/inst/tinytest/visreg-interactions.R   |  156 ++++-
 visreg-3.0.0/visreg/inst/tinytest/visreg-lm.R             |  159 ++---
 visreg-3.0.0/visreg/inst/tinytest/visreg-mlm.R            |   67 +-
 visreg-3.0.0/visreg/inst/tinytest/visreg2d-glm.R          |   23 
 visreg-3.0.0/visreg/inst/tinytest/visreg2d-lm.R           |   92 +--
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 129 files changed, 1735 insertions(+), 1530 deletions(-)

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New package UniCensorEM with initial version 0.1.0
Package: UniCensorEM
Title: EM Algorithm for Parameter Estimation Under Censoring Schemes
Version: 0.1.0
Description: Performs parameter estimation using the Expectation-Maximization (EM) algorithm of Dempster, Laird, and Rubin (1977) <doi:10.1111/j.2517-6161.1977.tb01600.x> for arbitrary univariate probability distributions under numerous censoring and truncation schemes. Users supply the probability density function (PDF), cumulative distribution function (CDF), survival function, initial parameter vector, support bounds, and observed data; the package automatically estimates parameters using the EM algorithm under the specified censoring scheme. Supported schemes include complete data, right censoring, left censoring, interval censoring, random censoring, block random censoring, Type-I censoring, Type-II censoring, progressive Type-II censoring (Balakrishnan and Aggarwala (2000, ISBN:978-1-4612-1334-5)), progressive first failure censoring, joint Type-I censoring, joint Type-II censoring, balanced joint progressive Type-II censoring, hybrid censoring, hybrid Type-I censoring, hybrid Type-II c [...truncated...]
License: GPL-3
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices, utils, methods, numDeriv
Suggests: testthat (>= 3.0.0), maxLik, bbmle, survival, boot, future, furrr, parallel, foreach, doParallel, ggplot2, cubature, pracma, knitr, rmarkdown
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-19 23:17:39 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-28 16:50:16 UTC

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New package stLMM with initial version 0.0.2
Package: stLMM
Title: Bayesian Spatial and Space-Time Linear Mixed Models
Version: 0.0.2
Author: Andrew O. Finley [aut, cre], Sudipto Banerjee [ctb], Abhirup Datta [ctb], Paul B. May [ctb]
Maintainer: Andrew O. Finley <finleya@msu.edu>
Description: Fits Bayesian linear mixed models for spatial and space-time data with fixed effects, independent and identically distributed (iid) grouped random effects, and structured latent processes. The formula interface supports first-order autoregressive (AR(1)) effects, dense Gaussian processes, nearest-neighbor Gaussian processes, proper and Leroux conditional autoregressive (CAR) effects, ordered directed acyclic graph autoregressive (DAGAR) effects, separable CAR-time and DAGAR-time effects, and spatially varying coefficients. The sampler uses sparse precision matrix calculations when available and includes post-fitting tools for latent process recovery, fitted values, prediction, pointwise log likelihoods, and posterior sample extraction. Method details include Datta et al. (2016) <doi:10.1080/01621459.2015.1044091>, Finley et al. (2019) <doi:10.1080/10618600.2018.1537924>, Datta et al. (2019) <doi:10.1214/19-BA1177>, and May and Finley (2025) <doi:10.1016/j.spasta.20 [...truncated...]
URL: https://github.com/finleya/stLMM, https://finleya.github.io/stLMM/
BugReports: https://github.com/finleya/stLMM/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.4.0)
Imports: BayesLogit (>= 2.4), coda, Matrix (>= 1.7-0), stats
LinkingTo: BayesLogit (>= 2.4), Matrix (>= 1.7-0)
Suggests: ggplot2, knitr, loo, quarto, sf, testthat (>= 3.0.0)
VignetteBuilder: quarto
NeedsCompilation: yes
Packaged: 2026-07-19 13:59:19 UTC; andy
Repository: CRAN
Date/Publication: 2026-07-28 16:30:03 UTC

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New package ssel with initial version 0.3.1
Package: ssel
Title: Semi-Supervised Ensemble Learning
Version: 0.3.1
Description: Weighted-ensemble regression over base learners supported by 'caret' (Kuhn (2008) <doi:10.18637/jss.v028.i05>), with cross-validated hyperparameter selection, out-of-fold diagnostics, and signed residual- offset estimates. Multi-response problems use iterative input-space expansion related to Spyromitros-Xioufis et al. (2016) <doi:10.1007/s10994-016-5546-z>, with Jacobi or 'Gauss-Seidel' sweeps, package-defined companion gates and per-response iteration stitching. A package-defined pseudo-label stage promotes prediction rows by a cross-model and cross-dataset range ratio and accepts rounds with an out-of-fold squared-correlation gauge.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://averriK.github.io/ssel/
Depends: R (>= 4.1.0)
Imports: caret, crayon, data.table, dbscan, digest, doParallel, earth, foreach, gbm, jsonlite, ranger, stats, utils
Suggests: devtools, htmlwidgets, knitr, pak, pkgdown, rcmdcheck, rmarkdown, roxygen2, rhub, testthat (>= 3.0.0), webshot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-19 22:10:50 UTC; averrik
Author: Alejandro Verri Kozlowski [aut, cre, cph]
Maintainer: Alejandro Verri Kozlowski <averri@fi.uba.ar>
Repository: CRAN
Date/Publication: 2026-07-28 16:50:02 UTC

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New package shinyglass with initial version 0.1.0
Package: shinyglass
Title: Liquid Glass Design Themes for 'shiny' Applications
Version: 0.1.0
Description: Drop-in Liquid Glass themes for 'shiny'. Call glass_theme() and pass the result to fluidPage(), navbarPage(), or any 'bslib'-aware page function to get translucent surfaces, backdrop blur, and system typography on 'Bootstrap' components. Light and dark presets are included, with options for accent color, blur, and corner radius.
License: GPL-3
URL: https://ericrayanderson.github.io/shinyglass/, https://github.com/ericrayanderson/shinyglass
BugReports: https://github.com/ericrayanderson/shinyglass/issues
Encoding: UTF-8
Imports: bslib (>= 0.5.0), htmltools (>= 0.5.0), sass (>= 0.4.0)
Suggests: DT, ggplot2, shiny (>= 1.5.0), testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-19 12:54:32 UTC; ericrayanderson
Author: Eric Anderson [aut, cre]
Maintainer: Eric Anderson <eric.ray.anderson@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-28 16:30:10 UTC

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New package risdr with initial version 0.3.1
Package: risdr
Title: Regularised and Information-Theoretic Sufficient Dimension Reduction
Version: 0.3.1
Description: Implements covariance-stabilised sufficient dimension reduction for continuous responses with information-theoretic structural dimension selection. Supported methods include sliced inverse regression, sliced average variance estimation, directional regression, and principal Hessian directions. Sample, ridge, Oracle Approximating Shrinkage, Ledoit-Wolf, and Maximum Entropy Covariance (MEC) estimators are provided alongside prediction, resampling, simulation, and diagnostic utilities. The sufficient dimension reduction methods build on Li (1991) <doi:10.1080/01621459.1991.10475035>, Li (1992) <doi:10.1080/01621459.1992.10476258>, and Li and Wang (2007) <doi:10.1198/016214507000000536>. Covariance shrinkage follows Olorede and Yahya (2019) <doi:10.48550/arXiv.1909.13017>, Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4> and Chen et al. (2010) <doi:10.1109/TSP.2010.2053029>.
License: GPL (>= 3)
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: stats, graphics, utils, MASS, Matrix
Suggests: dplyr, knitr, readr, rmarkdown, testthat (>= 3.0.0), VIM
VignetteBuilder: knitr, rmarkdown
URL: https://github.com/ilovemaths/risdr, https://ilovemaths.github.io/risdr/
BugReports: https://github.com/ilovemaths/risdr/issues
NeedsCompilation: no
Packaged: 2026-07-19 20:33:30 UTC; DR OLOREDE
Author: Kabir Olorede [aut, cre]
Maintainer: Kabir Olorede <kabirolorede@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-28 16:40:02 UTC

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New package pphotspot with initial version 0.1-2
Package: pphotspot
Version: 0.1-2
Date: 2026-07-18
Title: Hotspot Detection of Point Events on a Linear Network
Encoding: UTF-8
Maintainer: Mari Myllymaeki <mari.myllymaki@luke.fi>
Imports: GET, parallel, sf, spatstat.geom, spatstat.Knet, spatstat.linnet, spatstat.random, stats
Suggests: R.rsp, spatstat.explore, spatstat.model, testthat
Description: Detection of hotspots of point events on a linear network as proposed by Mrkvička et al. (2025) <doi:10.2139/ssrn.5337003> using the R package 'GET', see Myllymäki and Mrkvička (2024) <doi:10.18637/jss.v111.i03>.
License: GPL-3
URL: https://github.com/myllym/pphotspot
BugReports: https://github.com/myllym/pphotspot/issues
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2026-07-18 20:13:18 UTC; marmylly
Author: Mari Myllymaeki [aut, cre] , Michal Konopa [aut], Tomas Mrkvicka [aut], Mikko Kuronen [ctb]
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2026-07-28 16:10:02 UTC

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New package MultiEFM with initial version 0.1.3
Package: MultiEFM
Title: Robust Estimation for Multi-Study High-Dimensional Elliptical Factor Analytics
Version: 0.1.3
Date: 2026-07-19
Description: We introduce a multi-study high-dimensional factor analysis toolbox 'MultiEFM' based on the elliptical factor model framework, which learns latent heterogeneous features and accounts for cross-study variation among sources. It provides robust estimation algorithms for heterogeneous datasets, particularly tailored for multi-study RNA sequencing arrays and complex spatial multi-omics layers. The package implements highly efficient initialization strategies, identifiability constraints alignment, and computationally scalable parameter estimation paradigms.
License: GPL-3
Depends: R (>= 3.5.0)
Imports: MASS, irlba, mvtnorm, Rcpp (>= 1.0.8.3), stats
URL: https://RRuihan-Zhang.github.io/MultiEFM/
BugReports: https://github.com/RRuihan-Zhang/MultiEFM/issues
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Suggests: cowplot, ggplot2, knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2026-07-19 14:14:55 UTC; think
Author: Ruihan Zhang [aut, cre], Wei Liu [aut]
Maintainer: Ruihan Zhang <ruihanzhang6166@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-28 16:30:20 UTC

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New package muiCharts with initial version 0.1.0
Package: muiCharts
Title: 'MUI X Charts' for 'shiny' Apps and 'Quarto'
Version: 0.1.0
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>
Description: 'MUI X Charts' React chart components for data visualization for building 'shiny' applications and 'quarto' documents. Bundles the MIT-licensed community edition of the '@mui/x-charts' JavaScript library (the commercial 'Pro' tier is not included).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 3.5)
Imports: muiMaterial (>= 0.2.1), htmltools, shiny.react (>= 0.4.0), utils
Suggests: dplyr, tidyr, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/lgnbhl/muiCharts
BugReports: https://github.com/lgnbhl/muiCharts/issues
NeedsCompilation: no
Packaged: 2026-07-19 10:30:22 UTC; felix
Author: Felix Luginbuhl [aut, cre, cph] , MUI [cph] helpers; see LICENSE.note), Mike Bostock [cph] , vendored via '@mui/x-charts-vendor'; see LICENSE.note), Meta Platforms, Inc. and affiliates [cph]
Repository: CRAN
Date/Publication: 2026-07-28 16:20:02 UTC

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New package LISTC with initial version 1.0.0
Package: LISTC
Title: Pivot-Style Statistical Tables for Large-Scale Assessment Data
Version: 1.0.0
Description: Turns assessment and survey sample data (demographics, scores, sampling weights, ability estimates with individual item response theory standard errors, replicate weights and plausible values) into fully customizable pivot-style statistical tables in which every cell carries a design-appropriate standard error. Provides weighted means, proportions above cut scores, proficiency-level percentages and quantiles; sampling variance via linearization, Woodruff (1952) <doi:10.1080/01621459.1952.10483443> intervals for quantiles, or balanced repeated replication and jackknife replicate weights including Fay's method; measurement variance via delta-method propagation of individual standard errors or Rubin (1987) <doi:10.1002/9780470316696> combination across plausible values. Imports data from 'CSV', 'Excel', 'SPSS', 'SAS', 'Stata' and item response theory software person files ('Winsteps', 'ConQuest'); a configuration-file interface serves non-programmers and automation; results ex [...truncated...]
License: GPL (>= 2)
Copyright: See file inst/COPYRIGHTS.
Encoding: UTF-8
Language: zh-CN
Depends: R (>= 4.1)
Imports: data.table, haven, jsonlite, openxlsx, readxl, rlang, stats, tibble, utils, yaml
Suggests: covr, knitr, readr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/weiandata/LISTC
BugReports: https://github.com/weiandata/LISTC/issues
NeedsCompilation: no
Packaged: 2026-07-18 20:11:21 UTC; makunxiang
Author: Kunxiang Ma [aut, cre], WEIAN DATA TECH Co., Ltd. [cph, fnd]
Maintainer: Kunxiang Ma <makunxiang@weiandata.com>
Repository: CRAN
Date/Publication: 2026-07-28 16:10:17 UTC

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New package jsslintr with initial version 1.1.0-1
Package: jsslintr
Title: JSS LaTeX/BibTeX Style Checker
Version: 1.1.0-1
Description: Lints LaTeX/BibTeX manuscripts against the Journal of Statistical Software (JSS) style guide. Wraps the same Rust rule engine used by the standalone jsslint binary, the browser/WASM build, and the Python binding, exposed to R via extendr.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/kollerma/jss-style-checker, https://kollerma.github.io/jss-style-checker/
BugReports: https://github.com/kollerma/jss-style-checker/issues
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.85
Depends: R (>= 4.2)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-19 19:56:59 UTC; kollerma
Author: Manuel Koller [aut, cre]
Maintainer: Manuel Koller <kollerma@proton.me>
Repository: CRAN
Date/Publication: 2026-07-28 16:40:11 UTC

More information about jsslintr at CRAN
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New package hydromeso with initial version 0.1.0
Package: hydromeso
Title: Classify Fluvial Mesohabitats from Depth and Velocity
Version: 0.1.0
Date: 2026-07-19
Description: Classifies hydraulic conditions into nominal fluvial mesohabitat categories using water depth and velocity. It implements the eight-class scheme in the preprint by Cordero and Harris <doi:10.2139/ssrn.7100727>, supports validated rectangular custom schemes, and works with tabular and spatial data through 'terra'. Outputs describe hydraulic classes and do not by themselves establish biological habitat quality or species occurrence.
License: GPL-3
URL: https://el-cordero.github.io/hydromeso/, https://github.com/el-cordero/hydromeso
BugReports: https://github.com/el-cordero/hydromeso/issues
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1)
Imports: terra
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-19 22:33:37 UTC; ec
Author: Elvin Cordero [aut, cre]
Maintainer: Elvin Cordero <elvin.cordero@seamountgeo.com>
Repository: CRAN
Date/Publication: 2026-07-28 16:50:10 UTC

More information about hydromeso at CRAN
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New package ebaTools with initial version 0.1.0
Package: ebaTools
Title: Evidence-Based Assessment Tools for Diagnostic Test Evaluation
Version: 0.1.0
Description: Provides functions for evidence-based assessment of diagnostic tests. Includes calculation of common diagnostic accuracy statistics, Bayesian updating of probabilities, interpretation of likelihood ratios, and visualization using a Fagan nomogram.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/rmcgill777/ebaTools
BugReports: https://github.com/rmcgill777/ebaTools/issues
NeedsCompilation: no
Packaged: 2026-07-19 17:06:19 UTC; rmcgill777
Author: Ryan McGill [aut, cre]
Maintainer: Ryan McGill <rmcgill@wm.edu>
Repository: CRAN
Date/Publication: 2026-07-28 16:40:16 UTC

More information about ebaTools at CRAN
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New package diffHTS with initial version 0.1.0
Package: diffHTS
Title: Differential Drug Sensitivity Analysis for Two-Condition High-Throughput Screens
Version: 0.1.0
Description: A complete workflow for large-scale, two-condition high-throughput drug screening (HTS). It compares drug sensitivity between any two experimental conditions - for example irradiated versus non-irradiated cells, cancer versus normal cell lines, or treated versus untreated samples - across many plates and experiments. The package covers the full pipeline: control-based normalisation, plate-level quality-control metrics (Z-factor, Z-prime, signal-to-background, signal-to-noise and strictly standardised mean difference), replicate-consistency checks, four-parameter logistic dose-response fitting with area under the curve (AUC) estimation, differential (delta) AUC scoring with within-plate standardisation, cut-off and sigma-based hit selection, and publication-ready heatmap, scatter and quality-control visualisations.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: tidyr, rlang, ggplot2, graphics, stats, utils
Suggests: ComplexHeatmap, circlize, ggprism, ggrepel, grid, readxl, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-18 17:37:57 UTC; wd979071
Author: Liang Tang [aut, cre]
Maintainer: Liang Tang <xphdtangliang@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-28 16:10:08 UTC

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New package circlecorR with initial version 0.1.0
Package: circlecorR
Title: Circular Correlation Wheel Plots
Version: 0.1.0
Description: Draws circular "correlation wheel" plots in R, straight from a data frame of one row per observation. Variables are arranged around a circle, grouped and colour-tiled by category, and connected by curved links whose colour maps to the correlation coefficient, computed via a thin wrapper around corr.test() from the 'psych' package. Non-significant, weak, and within-category correlations can be masked. Categories, colours, and labels are all user-configurable.
License: MIT + file LICENSE
Language: en-GB
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: circlize (>= 0.4.0), graphics, psych, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
LazyData: true
VignetteBuilder: knitr
URL: https://kriz98.github.io/circlecorR/, https://github.com/kriz98/circlecorR
BugReports: https://github.com/kriz98/circlecorR/issues
NeedsCompilation: no
Packaged: 2026-07-19 00:48:19 UTC; cvar706
Author: Chris Varghese [aut, cre], Armen A. Gharibans [aut]
Maintainer: Chris Varghese <chris.varghese@auckland.ac.nz>
Repository: CRAN
Date/Publication: 2026-07-28 16:20:09 UTC

More information about circlecorR at CRAN
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New package cdlogit with initial version 1.0.0
Package: cdlogit
Title: Context-Dependent Discrete Choice Models
Version: 1.0.0
Description: Implements a class of context-dependent discrete choice models, including the standard random utility maximization (RUM) model, classical and generalized random regret minimization (RRM) models, the random advantage maximization (RAM) model, as well as the Emergent Value (EV) model and the contextual random utility maximization (CRUM) model, which explicitly incorporate measures of context dependence. In addition, pairwise normalization (PN) and range normalization (RN) models are supported. Both fixed-parameter and random-parameter specifications can be estimated, the latter allowing for preference heterogeneity. All models are formulated within a logit framework under the assumption of independently and identically distributed (i.i.d.) Gumbel error terms. The implemented methods are based on Tversky and Simonson (1993) <doi:10.1287/mnsc.39.10.1179>, Chorus et al. (2014) <doi:10.1016/j.jbusres.2014.02.010>, Rooderkerk et al. (2011) <doi:10.1509/jmkr.48.4.767>, Guevar [...truncated...]
Author: Yuan Xi [aut, cre], Michel Meulders [ctb], Martina Vandebroek [ctb]
Maintainer: Yuan Xi <yuan.xi@kuleuven.be>
License: GPL (>= 3)
Encoding: UTF-8
Imports: randtoolbox
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-19 14:27:58 UTC; u0150119
Repository: CRAN
Date/Publication: 2026-07-28 16:30:15 UTC

More information about cdlogit at CRAN
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New package ausOpenData with initial version 0.1.0
Package: ausOpenData
Title: A Lightweight Interface to the Austin, Texas Open Data APIs
Version: 0.1.0
Description: Provides a unified set of helper functions to access datasets from the Austin, Texas Open Data platform <https://data.austintexas.gov/>. Functions return results as tidy tibbles and support optional filtering, sorting, and row limits via the Socrata API.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr, jsonlite, tibble, janitor, curl, dplyr, rlang
Suggests: ggplot2, knitr, rmarkdown, scales, testthat (>= 3.0.0), tidyr, vcr (>= 0.6.0), webmockr
URL: https://martinezc1.github.io/ausOpenData/, https://github.com/martinezc1/ausOpenData
BugReports: https://github.com/martinezc1/ausOpenData/issues
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-07-19 06:10:55 UTC; christianmartinez
Author: Christian Martinez [aut, cre] , Emma Tupone [ctb]
Maintainer: Christian Martinez <c.martinez0@outlook.com>
Repository: CRAN
Date/Publication: 2026-07-28 16:20:15 UTC

More information about ausOpenData at CRAN
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New package agenticr with initial version 0.3.3
Package: agenticr
Title: AI-Powered R Console Assistant
Version: 0.3.3
Description: An AI-powered assistant for the R console. Type natural language or incorrect R code directly in the console, and 'agenticr' routes it to an AI agent for processing. Focused on statistical analysis, data transformation, and visualization, <https://github.com/panlanfeng/AgenticR>.
License: MIT + file LICENSE
SystemRequirements: ripgrep (optional, for fast file search; install with 'winget install BurntSushi.ripgrep.MSVC' on Windows or see https://github.com/BurntSushi/ripgrep)
Encoding: UTF-8
Imports: httr, jsonlite, cli, utils, yaml, processx
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-19 15:08:19 UTC; lf
Author: Lanfeng Pan [aut, cre]
Maintainer: Lanfeng Pan <panlanfeng@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-28 16:40:21 UTC

More information about agenticr at CRAN
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Package unexcel updated to version 0.2.0 with previous version 0.1.0 dated 2025-10-08

Title: Revert Spreadsheet Date Auto-Conversion to the Numbers Typed
Description: Spreadsheets silently turn entries such as '30.3' into dates, so the imported data carry date serials instead of the numbers that were typed. Reading the workbook directly recovers those numbers without guesswork: an 'xlsx' file states its own date system, and records which cells are formatted as dates and in which field order, so the values to repair are identified from the file rather than inferred from their magnitude. Functions are also provided for data already imported, where that evidence is no longer available, using conservative and configurable detection.
Author: Hercules R. Freitas [aut, cre, cph]
Maintainer: Hercules R. Freitas <hercules.freitas@uerj.br>

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Package rchime updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-23

Title: Detect and Remove Chimeras from Amplicon Sequence Analysis Data
Description: Detect and remove chimeras from your amplicon sequence analysis using reference-based or de novo approaches. The 'rchime' package implements the 'VSEARCH' algorithms described in Rognes et al. (2016) <doi:10.7717/peerj.2584>. 'VSEARCH' builds on the work of Edgar,R.C. et al. (2011) <doi:10.1093/bioinformatics/btr381>.
Author: Sarah Westcott [aut] , Pat Schloss [cph, cre] , Torbjorn Rognes [cph], Frederic Mahe [cph], Tomas Flouri [cph], Christopher Quince [cph], Ben Nichols [cph]
Maintainer: Pat Schloss <pschloss@umich.edu>

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Package plavaan updated to version 0.0.2 with previous version 0.0.1 dated 2025-12-30

Title: Penalized Estimation for Latent Variable Models with 'lavaan'
Description: Extends the popular 'lavaan' package by adding penalized estimation capabilities. It supports penalty on individual parameters as well as the difference between parameters.
Author: Hok Chio Lai [aut, cre]
Maintainer: Hok Chio (Mark) Lai <marklhc@gmail.com>

Diff between plavaan versions 0.0.1 dated 2025-12-30 and 0.0.2 dated 2026-07-28

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New package pgt with initial version 0.5.0
Package: pgt
Title: Data Envelopment Analysis for Pollution-Generating Technologies
Version: 0.5.0
Description: Nonparametric efficiency analysis for pollution-generating technologies under the materials-balance principle. Implements the weak-G-disposability model of Rodseth (2025) <doi:10.1007/s11123-025-00768-0> and its factorially determined multi-output representation, the by-production intersection technology of Murty, Russell and Levkoff (2012) <doi:10.1016/j.jeem.2012.02.005>, the materials-balance cost model of Coelli, Lauwers and Van Huylenbroeck (2007) <doi:10.1007/s11123-007-0052-8> and a weak-disposability reference model, with an enforced materials-balance identity, a pre-estimation feasibility audit, metafrontier decompositions, bad-output shadow prices, marginal abatement cost curves, a cross-axiom comparison harness, a global Malmquist-Luenberger productivity index and subsampling inference. Estimators are solved with 'lpSolveAPI'.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, graphics, utils, lpSolveAPI
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, frontier
VignetteBuilder: knitr
LazyData: true
URL: https://github.com/iik1/pgt
BugReports: https://github.com/iik1/pgt/issues
NeedsCompilation: no
Packaged: 2026-07-18 10:22:12 UTC; s14454
Author: Erik Enstad [aut, cre]
Maintainer: Erik Enstad <erik.enstad@nhh.no>
Repository: CRAN
Date/Publication: 2026-07-28 15:50:02 UTC

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Package lcsm updated to version 0.3.3 with previous version 0.3.2 dated 2023-02-25

Title: Univariate and Bivariate Latent Change Score Modelling
Description: Helper functions to implement univariate and bivariate latent change score models in R using the 'lavaan' package. For details about Latent Change Score Modeling (LCSM) see McArdle (2009) <doi:10.1146/annurev.psych.60.110707.163612> and Grimm, An, McArdle, Zonderman and Resnick (2012) <doi:10.1080/10705511.2012.659627>. The package automatically generates 'lavaan' syntax for different model specifications and varying timepoints. The 'lavaan' syntax generated by this package can be returned and further specifications can be added manually. Longitudinal plots as well as simplified path diagrams can be created to visualise data and model specifications. Estimated model parameters and fit statistics can be extracted as data frames. Data for different univariate and bivariate LCSM can be simulated by specifying estimates for model parameters to explore their effects. This package combines the strengths of other R packages like 'lavaan', 'broom', and 'semPlot' by generating 'lava [...truncated...]
Author: Milan Wiedemann [aut, cre] , Graham M Thew [ctb] , Urska Kosir [ctb] , Anke Ehlers [ths] , Mental Health Research UK [fnd]
Maintainer: Milan Wiedemann <milan.wiedemann@gmail.com>

Diff between lcsm versions 0.3.2 dated 2023-02-25 and 0.3.3 dated 2026-07-28

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New package fluxCore with initial version 2.0.0
Package: fluxCore
Title: Probabilistic Simulation of Single-Entity Systems in Irregular Time
Version: 2.0.0
Author: Jarrod Dalton [aut, cre]
Maintainer: Jarrod Dalton <daltonj@ccf.org>
Description: A foundation for probabilistic simulation of single-entity systems in which events occur at irregular times and each event updates only a small, sparse subset of the entity's state. Models are assembled from a declared schema and a 'ModelBundle' of callback functions (event proposal, state transition, stopping rule) and run through a single validated entry point, 'load_model()'. Supports competing event processes, schema-declared decision points with user-supplied policies, typed parameter draws for representing uncertainty, and optional trajectory recording for auditing simulated decisions. Designed to be domain agnostic: this package contains no model of any particular system, only the scaffolding for building one.
License: LGPL-3
Encoding: UTF-8
Imports: R6
Suggests: future, future.apply, jsonlite, parallel, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-17 23:10:01 UTC; daltonj
Repository: CRAN
Date/Publication: 2026-07-28 16:00:08 UTC

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Package wid updated to version 0.0.3 with previous version 0.0.2 dated 2026-07-08

Title: Download Data from the World Inequality Database
Description: Download data from the online World Inequality Database directly into R. Data are retrieved from WID.world's online data service. The World Inequality Database is an extensive source on the historical evolution of the distribution of income and wealth both within and between countries. It relies on the combined effort of an international network of over a hundred researchers covering more than seventy countries from all continents.
Author: Thomas Blanchet [aut], Ignacio Flores [cre]
Maintainer: Ignacio Flores <stats@wid.world>

Diff between wid versions 0.0.2 dated 2026-07-08 and 0.0.3 dated 2026-07-28

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Package stbl updated to version 0.4.0 with previous version 0.3.0 dated 2026-04-04

Title: Stabilize Function Arguments
Description: A set of consistent, opinionated functions to quickly check function arguments, coerce them to the desired configuration, or deliver informative error messages when that is not possible.
Author: Jon Harmon [aut, cre, cph]
Maintainer: Jon Harmon <jonthegeek@gmail.com>

Diff between stbl versions 0.3.0 dated 2026-04-04 and 0.4.0 dated 2026-07-28

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More information about stbl at CRAN
Permanent link

New package possum with initial version 0.1.0
Package: possum
Title: Surgical Risk Prediction with the POSSUM Score Family
Version: 0.1.0
Description: Computes the Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity (POSSUM), its Portsmouth modification (P-POSSUM), and the colorectal (CR-POSSUM), vascular (V-POSSUM) and ruptured aortic aneurysm (RAAA-POSSUM) variants, risk-adjustment systems used in surgical audit. Functions map physiological and operative variables to their component scores and return the predicted probabilities of morbidity and mortality from the published logistic equations. The coefficients follow Copeland and others (1991) <doi:10.1002/bjs.1800780327> for POSSUM, Prytherch and others (1998) <doi:10.1046/j.1365-2168.1998.00840.x> for P-POSSUM, Tekkis and others (2004) <doi:10.1002/bjs.4430> for the colorectal variant (CR-POSSUM), and Neary and others (2003) <doi:10.1002/bjs.4041> for the vascular variant (V-POSSUM). The package is intended for audit and research; it is not a validated medical device and must not be used as the sole basis for clinical d [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/chrislongros/possum
BugReports: https://github.com/chrislongros/possum/issues
Imports: stats
Suggests: tinytest
NeedsCompilation: no
Packaged: 2026-07-18 10:23:31 UTC; chris
Author: Christos Longros [aut, cre] , Daniel Enrique Chourio Barboza [aut]
Maintainer: Christos Longros <chris.longros@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-28 14:30:07 UTC

More information about possum at CRAN
Permanent link

New package PiChange with initial version 0.0.6
Package: PiChange
Title: Pi-Change: Change Point Detection with Prior-Informed Penalties
Version: 0.0.6
Description: PI-Change is a prior-informed multiple change point detection method that incorporates prespecified plausible change point locations through a time-varying penalized likelihood. The method extends multiple change point detection beyond purely data-driven segmentation by allowing external knowledge about plausible change point locations to enter the objective function; see Jacobs and Chen (2026) <doi:10.48550/arXiv.2605.01003>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: grid, ggplot2, Rcpp (>= 1.0.10), rlang, stats
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-17 20:13:09 UTC; schen3
Author: Jonathon Jacobs [aut, cph], Shanshan Chen [aut, cre, cph]
Maintainer: Shanshan Chen <schen3@vcu.edu>
Repository: CRAN
Date/Publication: 2026-07-28 15:00:02 UTC

More information about PiChange at CRAN
Permanent link

Package GenoTriplo updated to version 2.2.1 with previous version 1.1.3 dated 2025-03-25

Title: Genotyping Triploids/Tetraploids (or Diploids) from Luminescence Data
Description: Genotyping of triploid individuals from luminescence data (marker probeset A and B). Works also for diploids and tetraploids. Three main functions: Create_Dataset_from_file() to build dataset ; Clustering_parallele_from_dir() that regroups individuals with a same genotype based on proximity and Genotyping_parallele_from_dir() that assigns a genotype to each cluster. For Shiny interface use: launch_GenoShiny().
Author: Julien Roche [aut, cre], Florence Phocas [aut], Mathieu Besson [aut], Pierre Patrice [aut], Marc Vandeputte [aut], Francois Allal [aut], Pierrick Haffray [aut]
Maintainer: Julien Roche <julien.roche@inrae.fr>

Diff between GenoTriplo versions 1.1.3 dated 2025-03-25 and 2.2.1 dated 2026-07-28

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More information about GenoTriplo at CRAN
Permanent link

Package DWBmodelUN readmission to version 2.0.1 with previous version 1.0.0 dated 2020-08-18

Title: Dynamic Water Balance a Hydrological Model
Description: A tool for hydrologic modelling using the Budyko framework and the Dynamic Water Balance model with Dynamical Dimension Search algorithm to calibrate the model and analyze the outputs from interactive graphics. It allows to calculate the water availability in basins and also some water fluxes represented by the structure of the model. See Zhang, L., N., Potter, K., Hickel, Y., Zhang, Q., Shao (2008) <DOI:10.1016/j.jhydrol.2008.07.021> "Water balance modeling over variable time scales based on the Budyko framework - Model development and testing", Journal of Hydrology, 360, 117–131. See Tolson, B., C., Shoemaker (2007) <DOI:10.1029/2005WR004723> "Dynamically dimensioned search algorithm for computationally efficient watershed model calibration", Water Resources Research, 43, 1–16.
Author: Nicolas Duque [aut] , Carolina Vega [aut] , Jeffer Canon [aut], Pedro Arboleda [aut] , David Zamora [aut, cre] , Camila Garcia [cot]
Maintainer: David Zamora <dazamoraa@unal.edu.co>

This is a re-admission after prior archival of version 1.0.0 dated 2020-08-18

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Package vartest updated to version 1.6 with previous version 1.5 dated 2026-04-22

Title: Tests for Variance Homogeneity
Description: Performs 18 omnibus tests yielding a total of 28 distinct methodological variations for testing the composite hypothesis of variance homogeneity.
Author: Gozde Cosar [aut], Muhammed Ali Yilmaz [aut], Merve Kasikci [aut], Osman Dag [aut, cre]
Maintainer: Osman Dag <osman.dag@outlook.com>

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Package testassay updated to version 0.1.3 with previous version 0.1.1 dated 2020-06-03

Title: A Hypothesis Testing Framework for Validating an Assay for Precision
Description: A common way of validating a biological assay for is through a procedure, where m levels of an analyte are measured with n replicates at each level, and if all m estimates of the coefficient of variation (CV) are less than some prespecified level, then the assay is declared validated for precision within the range of the m analyte levels. Two limitations of this procedure are: there is no clear statistical statement of precision upon passing, and it is unclear how to modify the procedure for assays with constant standard deviation. We provide tools to convert such a procedure into a set of m hypothesis tests. This reframing motivates the m:n:q procedure, which upon completion delivers a 100q% upper confidence limit on the CV. Additionally, for a post-validation assay output of y, the method gives an ``effective standard deviation interval'' of log(y) plus or minus r, which is a 68% confidence interval on log(mu), where mu is the expected value of the assay output for that sample. Furth [...truncated...]
Author: Michael C Sachs [aut, cre], Michael P Fay [aut]
Maintainer: Michael C Sachs <sachsmc@gmail.com>

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Package smfa updated to version 1.0.1 with previous version 1.0.0 dated 2026-04-28

Title: Stochastic Metafrontier Analysis
Description: Implements stochastic metafrontier analysis for productivity and performance benchmarking across firms operating under different technologies. Contains routines for the deterministic metafrontier envelope of O'Donnell et al. (2008) <doi:10.1007/s00181-007-0119-4> via linear and quadratic programming, and the stochastic metafrontier of Huang et al. (2014) <doi:10.1007/s11123-014-0402-2>. Also supports latent class stochastic metafrontier analysis and sample selection correction stochastic metafrontier models. Depends on the 'sfaR' package by Dakpo et al. (2023) <https://CRAN.R-project.org/package=sfaR>.
Author: Sulman Olieko Owili [aut, cre]
Maintainer: Sulman Olieko Owili <oliekosulman@gmail.com>

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Package BsplineQuantReg updated to version 0.2.2 with previous version 0.2.1 dated 2026-07-24

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. This R implementation is intended for demonstration and prototyping. All B-spline and polynomial functions have been rewritten for consistency. An equivalent Python package is available at <https://pypi.org/project/BsplineQuantRegpy/>.
Author: Alexandre Abbes [aut, cre]
Maintainer: Alexandre Abbes <alexandre.abbes@proton.me>

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Package Bayesrel updated to version 0.7.9 with previous version 0.7.8 dated 2025-03-24

Title: Bayesian Reliability Estimation
Description: Functionality for reliability estimates. For 'unidimensional' tests: Coefficient alpha, 'Guttman's' lambda-2/-4/-6, the Greatest lower bound and coefficient omega_u ('unidimensional') in a Bayesian and a frequentist version. For multidimensional tests: omega_t (total) and omega_h (hierarchical). The results include confidence and credible intervals, the probability of a coefficient being larger than a cutoff, and a check for the factor models, necessary for the omega coefficients. The method for the Bayesian 'unidimensional' estimates, except for omega_u, is sampling from the posterior inverse 'Wishart' for the covariance matrix based measures (see 'Murphy', 2007, <https://groups.seas.harvard.edu/courses/cs281/papers/murphy-2007.pdf>). The Bayesian omegas (u, t, and h) are obtained by 'Gibbs' sampling from the conditional posterior distributions of (1) the single factor model, (2) the second-order factor model, (3) the bi-factor model, (4) the correlated factor model ('Lee', 2007 [...truncated...]
Author: Julius M. Pfadt [aut, cre] , Don van den Bergh [aut] , Joris Goosen [aut]
Maintainer: Julius M. Pfadt <julius.pfadt@gmail.com>

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Package treeSS updated to version 0.2.6 with previous version 0.2.5 dated 2026-07-11

Title: Tree-Spatial Scan Statistic for Cluster Detection
Description: Implements the tree-spatial scan statistic for detecting clusters that combine both spatial and hierarchical structures, as proposed by Cancado et al. (2025) <doi:10.1007/s10651-025-00670-w>. The method extends Kulldorff (1997) <doi:10.1080/03610929708831995> circular spatial scan statistic and the tree-based scan statistic of Kulldorff et al. (2003) <doi:10.1111/1541-0420.00039> by searching for anomalies in both geographic regions and branches of hierarchical trees simultaneously. The package also provides standalone implementations of Kulldorff's circular spatial scan statistic and the tree-based scan statistic. Statistical significance is assessed via Monte Carlo simulation under a Poisson or binomial model, with optional 'OpenMP' parallelization.
Author: Allan Quadros [aut, cre] , Andre L. F. Cancado [aut]
Maintainer: Allan Quadros <allanvcq@gmail.com>

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Package GCCfactor updated to version 1.2.1 with previous version 1.2.0 dated 2026-07-27

Title: GCC Estimation of the Multilevel Factor Model
Description: Provides methods for model selection, estimation, inference, and simulation for the multilevel factor model, based on the principal component estimation and generalised canonical correlation approach. Details can be found in "Generalised Canonical Correlation Estimation of the Multilevel Factor Model." Lin and Shin (2025) <doi:10.2139/ssrn.4295429>.
Author: Rui Lin [aut, cre], Yongcheol Shin [aut]
Maintainer: Rui Lin <ruilin1081@gmail.com>

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Package covtracer updated to version 0.0.3 with previous version 0.0.2 dated 2026-01-30

Title: Contextualizing Tests
Description: Dissects a package environment or 'covr' coverage object in order to cross reference tested code with the lines that are evaluated, as well as linking those evaluated lines to the documentation that they are described within. Connecting these three pieces of information provides a mechanism of linking tests to documented behaviors.
Author: Doug Kelkhoff [aut] , Szymon Maksymiuk [aut, cre] , Andrew McNeil [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Szymon Maksymiuk <sz.maksymiuk@gmail.com>

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Package camtrapR updated to version 3.1.0 with previous version 3.0.4 dated 2026-04-30

Title: Camera Trap Data Management and Analysis Framework
Description: Management and analysis of camera trap wildlife data through an integrated workflow. Provides functions for image/video organization and metadata extraction, species/individual identification. Creates detection histories for occupancy and spatial capture-recapture analyses, with support for multi-season studies. Includes tools for fitting community occupancy models in JAGS and NIMBLE, and an interactive dashboard for survey data visualization and analysis. Features visualization of species distributions and activity patterns, plus export capabilities for GIS and reports. Emphasizes automation and reproducibility while maintaining flexibility for different study designs.
Author: Juergen Niedballa [aut, cre] , Alexandre Courtiol [aut] , Rahel Sollmann [aut] , John Mathai [ctb], Seth Timothy Wong [ctb] , An The Truong Nguyen [ctb] , Azlan bin Mohamed [ctb] , Andrew Tilker [ctb] , Roshan Guharajan [ctb] , Ioannis Alexiou [ctb] [...truncated...]
Maintainer: Juergen Niedballa <camtrapr@gmail.com>

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 camtrapR-3.1.0/camtrapR/R/detectionHistory.R                                                               |   55 
 camtrapR-3.1.0/camtrapR/R/filterRecordTable.R                                                              |   10 
 camtrapR-3.1.0/camtrapR/R/plot.R                                                                           |   15 
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 camtrapR-3.1.0/camtrapR/R/readWildlifeInsights.R                                                           |   32 
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Package assemblykor updated to version 0.1.3 with previous version 0.1.2 dated 2026-04-15

Title: Korean National Assembly Data for Political Science Education
Description: Provides ready-to-use datasets from the Korean National Assembly (assemblies 20 through 22, 2016-2026) for teaching quantitative methods in political science. Includes legislator metadata, bill proposals, roll call votes, asset declarations, and policy seminar records. Designed as a Korean politics counterpart to packages like 'palmerpenguins', enabling students to practice regression, panel data analysis, text analysis, and network analysis with real legislative data. Roll call vote data and spatial voting models are described in Poole and Rosenthal (1985) <doi:10.2307/2111172>. Legislative data is sourced from the Korean National Assembly Open API.
Author: Kyusik Yang [aut, cre]
Maintainer: Kyusik Yang <kyusik.yang@nyu.edu>

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Package wordvector updated to version 0.6.3 with previous version 0.6.2 dated 2026-04-06

Title: Word and Document Vector Models
Description: Create dense vector representation of words and documents using 'quanteda'. Implements Word2vec (Mikolov et al., 2013) <doi:10.48550/arXiv.1310.4546>, Doc2vec (Le & Mikolov, 2014) <doi:10.48550/arXiv.1405.4053> and Latent Semantic Analysis (Deerwester et al., 1990) <doi:10.1002/(SICI)1097-4571(199009)41:6%3C391::AID-ASI1%3E3.0.CO;2-9>.
Author: Kohei Watanabe [aut, cre, cph] , Jan Wijffels [aut] , BNOSAC [cph] , Max Fomichev [ctb, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

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Package tmbstan updated to version 1.2.0 with previous version 1.1.0 dated 2026-03-20

Title: MCMC Sampling from 'TMB' Model Object using 'Stan'
Description: Enables all 'rstan' functionality for a 'TMB' model object, in particular MCMC sampling and chain visualization. Sampling can be performed with or without Laplace approximation for the random effects. This is demonstrated in Monnahan & Kristensen (2018) <DOI:10.1371/journal.pone.0197954>.
Author: Kasper Kristensen [aut, cre]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

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Package PsyToolkit updated to version 1.1.6 with previous version 1.1.4 dated 2026-03-07

Title: Analysis Tools for 'PsyToolkit'
Description: Analyses and reports questionnaire and experiment data exported from 'PsyToolkit'. The package reads downloaded study folders, parses questionnaire structure, optionally merges demographic exports from CloudResearch or Prolific, and produces summary overviews of responses and completion times. It also provides helper functions to extract and aggregate experiment measures and survey variables, and to export results to spreadsheet files for further analysis and archiving. See Stoet (2017) <doi:10.1177/0098628316677643> for the 'PsyToolkit' platform.
Author: Gijsbert Stoet [cre, aut]
Maintainer: Gijsbert Stoet <stoet@gmx.co.uk>

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Package hexbin updated to version 1.28.6 with previous version 1.28.5 dated 2024-11-13

Title: Hexagonal Binning Routines
Description: Binning and plotting functions for hexagonal bins.
Author: Dan Carr [aut], Nicholas Lewin-Koh [aut], Martin Maechler [aut], Deepayan Sarkar [aut], Edzer Pebesma [cre]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package flametree updated to version 0.2.0 with previous version 0.1.3 dated 2021-11-29

Title: Generate Random Tree-Like Images
Description: A generative art system for producing tree-like images using a stochastic branching process to create the structures. The package includes tools for generating the data structures and visualising them in a variety of styles.
Author: Danielle Navarro [aut, cre, cph]
Maintainer: Danielle Navarro <djnavarro@protonmail.com>

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Package distilleR updated to version 1.1.0 with previous version 1.0.0 dated 2026-04-23

Title: A Wrap Around the 'DistillerSR' APIs
Description: Interface to 'DistillerSR' APIs. See <https://apidocs.evidencepartners.com/> for more details.
Author: Lorenzo Copelli [aut] , Fulvio Barizzone [aut] , Dayana Stephanie Buzle [aut] , Rafael Vieira [aut] , Luca Belmonte [aut, cre]
Maintainer: Luca Belmonte <luca.belmonte@efsa.europa.eu>

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Package wilson readmission to version 2.4.4 with previous version 2.4.2 dated 2021-04-19

Title: Web-Based Interactive Omics Visualization
Description: Tool-set of modules for creating web-based applications that use plot based strategies to visualize and analyze multi-omics data. This package utilizes the 'shiny' and 'plotly' frameworks to provide a user friendly dashboard for interactive plotting.
Author: Hendrik Schultheis [aut, cre], Jens Preussner [aut], Looso Mario [aut]
Maintainer: Hendrik Schultheis <hendrik.schultheis@mpi-bn.mpg.de>

This is a re-admission after prior archival of version 2.4.2 dated 2021-04-19

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Package SteadyStateBVAR updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-24

Title: Bayesian Vector Autoregressions with Steady-State Priors
Description: Provides estimation of Bayesian vector autoregression (BVAR) models with steady-state priors via 'Stan', along with functions for unconditional and conditional forecasting, as well as impulse response analysis. For details on the steady-state BVAR model see Villani (2009) <doi:10.1002/jae.1065>.
Author: Mark Becker [aut, cre, cph]
Maintainer: Mark Becker <mark.jw.becker@gmail.com>

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Package smatr updated to version 3.5-1 with previous version 3.4-8 dated 2018-03-18

Title: (Standardised) Major Axis Estimation and Testing Routines
Description: Methods for fitting bivariate lines in allometry using the major axis (MA) or standardised major axis (SMA), and for making inferences about such lines. The available methods of inference include confidence intervals and one-sample tests for slope and elevation, testing for a common slope or elevation amongst several allometric lines, constructing a confidence interval for a common slope or elevation, and testing for no shift along a common axis, amongst several samples. See Warton et al. 2012 <doi:10.1111/j.2041-210X.2011.00153.x> for methods description.
Author: David Warton [aut], Remko Duursma [aut], Daniel Falster [aut, cre] , Sara Taskinen [aut], Fonti Kar [aut]
Maintainer: Daniel Falster <daniel.falster@unsw.edu.au>

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More information about smatr at CRAN
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Package rxode2 updated to version 5.1.5 with previous version 5.1.4 dated 2026-07-20

Title: Facilities for Simulating from ODE-Based Models
Description: Facilities for running simulations from ordinary differential equation ('ODE') models, such as pharmacometrics and other compartmental models. A compilation manager translates the ODE model into C, compiles it, and dynamically loads the object code into R for improved computational efficiency. An event table object facilitates the specification of complex dosing regimens (optional) and sampling schedules. NB: The use of this package requires both C and Fortran compilers, for details on their use with R please see Section 6.3, Appendix A, and Appendix D in the "R Administration and Installation" manual. Also the code is mostly released under GPL. The 'VODE' and 'LSODA' are in the public domain. The vendored 'SUNDIALS' 'CVODE' sources and headers are released under the BSD-3-Clause license. The information is available in the inst/COPYRIGHTS.
Author: Matthew L. Fidler [aut, cre] , Wenping Wang [aut], Aaron Collier [ctb] , Alan Hindmarsh [ctb], Arun Srinivasan [ctb], Ashley Crawford [ctb] , Awad H. Al-Mohy [ctb], Bill Denney [ctb] , Cleve Moler [ctb], Cody J. Balos [ctb] , Dan Shumaker [ctb] , Dan [...truncated...]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

Diff between rxode2 versions 5.1.4 dated 2026-07-20 and 5.1.5 dated 2026-07-28

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More information about rxode2 at CRAN
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Package RcppDate updated to version 0.0.7 with previous version 0.0.6 dated 2025-05-29

Title: 'date' C++ Header Library for Date and Time Functionality
Description: A header-only C++ library is provided with support for dates, time zones, ISO weeks, Julian dates, and Islamic dates. 'date' offers extensive date and time functionality for the C++11, C++14 and C++17 standards and was written by Howard Hinnant and released under the MIT license. A slightly modified version has been accepted (along with 'tz.h') as part of C++20. This package regroups all header files from the upstream repository by Howard Hinnant so that other R packages can use them in their C++ code. At present, few of the types have explicit 'Rcpp' wrappers though these may be added as needed.
Author: Dirk Eddelbuettel [aut, cre] , Howard Hinnant [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppDate versions 0.0.6 dated 2025-05-29 and 0.0.7 dated 2026-07-28

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More information about RcppDate at CRAN
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Package MAGMA.R updated to version 1.1 with previous version 1.0.4 dated 2025-05-26

Title: MAny-Group MAtching
Description: Balancing quasi-experimental field research for effects of covariates is fundamental for drawing causal inference. (Propensity Score) Matching deals with this issue but current techniques are restricted to binary treatment variables. Moreover, they provide several solutions without providing a comprehensive framework on choosing the best model. The MAGMA R-package addresses these restrictions by offering nearest neighbor matching based on Propensity Scores or the Mahalanobis Distance for two to four groups. It also includes the option to match data of a 2x2 design. In addition, MAGMA includes a framework for evaluating the post-matching balance. The package includes functions for the matching process and matching reporting. We provide a General tutorial on MAGMA and a tutorial for Mahalanobis Distance Matching as vignettes. More information on MAGMA can be found in Feuchter, M. D., Urban, J., Scherrer V., Breit, M. L., and Preckel F. (2022) <https://osf.io/p47nc/>.
Author: Julian Urban [aut, cre], Markus D. Feuchter [aut], Vsevolod Scherrer [aut], Moritz L. Breit [aut], Franzis Preckel [aut]
Maintainer: Julian Urban <julian.urban@uni-potsdam.de>

Diff between MAGMA.R versions 1.0.4 dated 2025-05-26 and 1.1 dated 2026-07-28

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Package firmmatchr updated to version 0.2.0 with previous version 0.1.3 dated 2026-03-06

Title: Robust Probabilistic Matching of Company Names
Description: A pipeline for matching messy company name strings against a clean dictionary (e.g., 'Orbis'). Implements a cascading strategy: Exact -> Fuzzy ('zoomerjoin') -> 'FTS5' ('SQLite') -> Rarity Weighted. Name normalization covers German, French, Italian and English legal forms and conventions, which suits multilingual registers such as the Swiss one. Normalization discards detail, so several dictionary entries can collapse onto one string; these groups are matched once and a crosswalk back to every original entry is retained. References: Beniamino Green (2025) <https://github.com/beniaminogreen/zoomerjoin>; <https://www.sqlite.org/fts5.html>.
Author: Giulian Etingin-Frati [aut, cre]
Maintainer: Giulian Etingin-Frati <etingin-frati@kof.ethz.ch>

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Package EMCluster updated to version 0.2-18 with previous version 0.2-17 dated 2025-01-08

Title: EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution
Description: EM algorithms and several efficient initialization methods for model-based clustering of finite mixture Gaussian distribution with unstructured dispersion in both of unsupervised and semi-supervised learning.
Author: Wei-Chen Chen [aut, cre], Ranjan Maitra [aut], Volodymyr Melnykov [ctb], Dan Nettleton [ctb], David Faden [ctb], Rouben Rostamian [ctb], R Core team [ctb]
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

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Package dbrobust updated to version 1.1.1 with previous version 1.1.0 dated 2026-07-23

Title: Robust Distance-Based Visualization and Analysis of Mixed-Type Data
Description: Robust distance-based methods applied to matrices and data frames, producing distance matrices that can be used as input for various visualization techniques such as graphs, heatmaps, or multidimensional scaling configurations. See Boj and Grané (2024) <doi:10.1016/j.seps.2024.101992>, Boj et al. (2026) <doi:10.1007/s10260-026-00860-1>, and Grané et al. (2026) <doi:10.1007/s10182-026-00565-6>.
Author: Marcos Alvarez [aut], Eva Boj [aut, cre], Aurea Grane [aut]
Maintainer: Eva Boj <evaboj@ub.edu>

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Package astronomR updated to version 0.3.0 with previous version 0.1.0 dated 2026-05-27

Title: Cosmic Insights: Statistical Frameworks for Astronomers
Description: A comprehensive toolkit for astronomical and cosmological computations. Provides functions for angular coordinate conversions (degrees, hours-minutes-seconds, degrees-minutes-seconds, and radians), access to fundamental physical constants, queries to the Gaia Archive TAP (Table Access Protocol) service, cosmological distance calculations, early-universe thermal physics including photon density, 'Saha' equation solutions, and a full thermal-cosmology module covering the Hubble rate in the radiation-dominated era, effective relativistic degrees of freedom, entropy density, equilibrium yields, the Boltzmann relic-abundance ('pebble') equation for WIMP freeze-out, the freeze-out temperature solver, and the Peebles equation for hydrogen recombination. Also includes the Drake equation for estimating the number of communicating extraterrestrial civilisations in the Milky Way.
Author: Samrit Pramanik [aut, cre] , Kazi Abu Rousan [aut]
Maintainer: Samrit Pramanik <samrit.2442@gmail.com>

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Package seeclickfixr (with last version 1.1.0) was removed from CRAN

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

2016-12-07 1.1.0
2015-11-13 1.0.0

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Package glinvci (with last version 1.2.4) was removed from CRAN

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2024-04-18 1.2.4

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Package preregr (with last version 0.2.9) was removed from CRAN

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

2023-05-05 0.2.9
2023-03-05 0.2.8
2022-08-22 0.2.5
2022-01-25 0.2.1
2022-01-12 0.2.0
2021-10-13 0.1.9
2021-09-30 0.1.3

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Package NSR (with last version 0.1.0) was removed from CRAN

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2024-10-16 0.1.0

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Package flan (with last version 1.0) was removed from CRAN

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

2024-08-22 1.0
2021-06-07 0.9
2020-04-29 0.8

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Package Rduckhts updated to version 1.5.1-0.1.3 with previous version 1.5.0-0.1.0 dated 2026-07-24

Title: 'DuckDB' High Throughput Sequencing File Formats Reader Extension
Description: Bundles the 'duckhts' 'DuckDB' extension for reading High Throughput Sequencing file formats with 'DuckDB'. The 'DuckDB' C extension API <https://duckdb.org/docs/stable/clients/c/api> and its 'htslib' dependency are compiled from vendored sources during package installation. James K Bonfield and co-authors (2021) <doi:10.1093/gigascience/giab007>. VariantKey / RegionKey support follows Nicola Asuni (2018) <doi:10.1101/473744>.
Author: Sounkou Mahamane Toure [aut, cre], James K Bonfield, John Marshall,Petr Danecek ,Heng Li , Valeriu Ohan, Andrew Whitwham,Thomas Keane , Robert M Davies [ctb] , Brent Pedersen [cph] , Giulio Genovese [cph] , Nicola Asuni [cph] , Devon Ryan [cph] , Duc [...truncated...]
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>

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Package npwbs updated to version 0.4.0 with previous version 0.3.0 dated 2026-05-02

Title: Nonparametric Multiple Change Point Detection Using Wild Binary Segmentation
Description: Implements nonparametric multiple change-point detection for univariate sequences using Wild Binary Segmentation, as described in Ross (2026) "Nonparametric Detection of Multiple Location-Scale Change Points via Wild Binary Segmentation" <doi:10.48550/arXiv.2107.01742>. The package provides Mann--Whitney, Mood, Lepage, Cramér--von Mises, and modified Baumgartner rank-based statistics, together with method-specific thresholds for controlling the probability of incorrectly detecting a change point in a homogeneous sequence.
Author: Gordon J. Ross [aut, cre]
Maintainer: Gordon J. Ross <gordon.ross@ed.ac.uk>

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Package liureg updated to version 1.1.3 with previous version 1.1.2 dated 2018-04-08

Title: Liu Regression with Liu Biasing Parameters and Statistics
Description: Linear Liu regression coefficient's estimation and testing with different Liu related measures such as MSE, R-squared etc. REFERENCES i. Akdeniz and Kaciranlar (1995) \doi{10.1080/03610929508831585} ii. Druilhet and Mom (2008) \doi{10.1016/j.jmva.2006.06.011} iii. Imdadullah, Aslam, and Saima (2017) iv. Liu (1993) \doi{10.1080/03610929308831027} v. Liu (2001) \doi{10.1016/j.jspi.2010.05.030}.
Author: Imdad Ullah Muhammad [aut, cre] , Aslam Muhammad [aut, ctb]
Maintainer: Imdad Ullah Muhammad <mimdadasad@gmail.com>

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Package inlabru updated to version 2.15.0 with previous version 2.14.1 dated 2026-05-01

Title: Bayesian Latent Gaussian Modelling using INLA and Extensions
Description: Facilitates spatial and general latent Gaussian modelling using integrated nested Laplace approximation via the INLA package (<https://www.r-inla.org>). Additionally, extends the GAM-like model class to more general nonlinear predictor expressions, and implements a log Gaussian Cox process likelihood for modelling univariate and spatial point processes based on ecological survey data. Model components are specified with general inputs and mapping methods to the latent variables, and the predictors are specified via general R expressions, with separate expressions for each observation likelihood model in multi-likelihood models. A prediction method based on fast Monte Carlo sampling allows posterior prediction of general expressions of the latent variables. Ecology-focused introduction in Bachl, Lindgren, Borchers, and Illian (2019) <doi:10.1111/2041-210X.13168>.
Author: Finn Lindgren [aut, cre, cph] , Fabian E. Bachl [aut, cph] , David L. Borchers [ctb, dtc, cph] , Daniel Simpson [ctb, cph] , Lindesay Scott-Howard [ctb, dtc, cph] , Andy Seaton [ctb] , Man Ho Suen [ctb, cph] , Pierre Roudier [ctb, cph] , Tim Meehan [ [...truncated...]
Maintainer: Finn Lindgren <finn.lindgren@gmail.com>

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Package GPArotation updated to version 2026.7-1 with previous version 2026.6-1 dated 2026-06-18

Title: Gradient Projection Factor Rotation
Description: Gradient projection algorithms for orthogonal and oblique rotation of factor loadings matrices in factor analysis. Implements a comprehensive set of rotation criteria including quartimax, quartimin, oblimin, geomin, simplimax, the Crawford-Ferguson family, and target rotation, among others. Supports multiple random starts. For details see Bernaards and Jennrich (2005) <doi:10.1177/0013164404272507>.
Author: Coen Bernaards [aut, cre], Paul Gilbert [aut], Robert Jennrich [aut]
Maintainer: Coen Bernaards <cab.gparotation@gmail.com>

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Package emstreeR updated to version 3.2.0 with previous version 3.1.3 dated 2025-12-17

Title: Tools for Fast Computing and Visualizing Euclidean Minimum Spanning Trees
Description: Fast and easy computation of Euclidean Minimum Spanning Trees (EMST) from data, relying on the R API for 'mlpack' - the C++ Machine Learning Library (Curtin et. al., 2013). 'emstreeR' uses the Dual-Tree Boruvka (March, Ram, Gray, 2010, <doi:10.1145/1835804.1835882>), which is theoretically and empirically the fastest algorithm for computing an EMST. This package also provides functions and an S3 method for readily visualizing Minimum Spanning Trees (MST) using either the style of the 'base', 'scatterplot3d', or 'ggplot2' libraries; and functions to export the MST output to shapefiles.
Author: Allan Quadros [aut, cre], Duncan Garmonsway [ctb]
Maintainer: Allan Quadros <allanvcq@gmail.com>

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Package CHOIRBM updated to version 0.0.3 with previous version 0.0.2 dated 2021-02-15

Title: Plots the CHOIR Body Map
Description: Collection of utility functions for visualizing body map data collected with the Collaborative Health Outcomes Information Registry.
Author: Eric Cramer [aut, cre] , Stanford University School of Medicine [cph, fnd]
Maintainer: Eric Cramer <dev.emc503@gmail.com>

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Package ameras updated to version 0.5.2 with previous version 0.5.1 dated 2026-07-16

Title: Analyze Multiple Exposure Realizations in Association Studies
Description: Analyze association studies with multiple realizations of a noisy or uncertain exposure. These can be obtained from e.g. a two-dimensional Monte Carlo dosimetry system (Simon et al 2015 <doi:10.1667/RR13729.1>) to characterize exposure uncertainty. The implemented methods are regression calibration (Carroll et al. 2006 <doi:10.1201/9781420010138>), extended regression calibration (Little et al. 2023 <doi:10.1038/s41598-023-42283-y>), Monte Carlo maximum likelihood (Stayner et al. 2007 <doi:10.1667/RR0677.1>), frequentist model averaging (Kwon et al. 2023 <doi:10.1371/journal.pone.0290498>), and Bayesian model averaging (Kwon et al. 2016 <doi:10.1002/sim.6635>). Supported model families are Gaussian, binomial, multinomial, Poisson, proportional hazards, and conditional logistic.
Author: Sander Roberti [aut, cre] , William Wheeler [aut], Deukwoo Kwon [aut] , Ruth Pfeiffer [ctb] , NCI [cph, fnd]
Maintainer: Sander Roberti <statspackages@sanderroberti.nl>

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Package spatstat.model updated to version 3.7-2 with previous version 3.7-1 dated 2026-05-29

Title: Parametric Statistical Modelling and Inference for the 'spatstat' Family
Description: Functionality for parametric statistical modelling and inference for spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Supports parametric modelling, formal statistical inference, and model validation. Parametric models include Poisson point processes, Cox point processes, Neyman-Scott cluster processes, Gibbs point processes and determinantal point processes. Models can be fitted to data using maximum likelihood, maximum pseudolikelihood, maximum composite likelihood and the method of minimum contrast. Fitted models can be simulated and predicted. Formal inference includes hypothesis tests (quadrat counting tests, Cressie-Read tests, Clark-Evans test, Berman test, Diggle-Cressie-Loosmore-Ford test, scan test, studentised permutation test, segregation test, ANOVA tests of fitted models, adjusted composite likelihood ratio test, envelope t [...truncated...]
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Achmad Choiruddin [ctb, cph], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Julian Gilbey [ctb], Yongtao [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package hdnom updated to version 6.2.1 with previous version 6.2.0 dated 2026-05-12

Title: Benchmarking and Visualization Toolkit for Penalized Cox Models
Description: Creates nomogram visualizations for penalized Cox regression models, with the support of reproducible survival model building, validation, calibration, and comparison for high-dimensional data.
Author: Nan Xiao [aut, cre] , Qing-Song Xu [aut], Miao-Zhu Li [aut], Frank Harrell [ctb] , Sergej Potapov [ctb] , Werner Adler [ctb] , Matthias Schmid [ctb]
Maintainer: Nan Xiao <me@nanx.me>

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Package CustomDerivative updated to version 0.2.0 with previous version 0.1.1 dated 2023-09-30

Title: Extensible Derivative Pricing and Risk Analytics
Description: Tools for pricing and analysing financial derivatives under the classical lognormal diffusion model and geometric Brownian motion assumptions. The package provides analytical European option prices, Monte Carlo pricing with antithetic and control variates, confidence intervals, finite-difference Greeks, and path simulation for path-dependent payoffs. The simulation interfaces accept user-defined payoff functions, enabling transparent construction of custom contracts while reporting numerical uncertainty.
Author: Amit Kumar Jha [aut, cre, cph]
Maintainer: Amit Kumar Jha <jha.8@iitj.ac.in>

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Package mRpostman updated to version 1.4.0 with previous version 1.2.2 dated 2026-07-11

Title: An IMAP Client for R
Description: A session-based IMAP client that implements the full functionality of the IMAP4rev1 protocol (RFC 3501), allowing virtually all e-mail operations to be performed from within R, paving the way for e-mail data analysis.
Author: Allan Quadros [aut, cre] , Paul Smith [ctb], Kurt Hornik [ctb]
Maintainer: Allan Quadros <allanvcq@gmail.com>

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Package groupedHyperframe updated to version 0.4.4 with previous version 0.4.3 dated 2026-06-21

Title: Grouped Hyper Data Frame
Description: To aggregate a hyper data frame, defined in the package 'spatstat.geom', according to a grouping structure. To facilitate downstream analysis based on a "grouped" hyper data frame. The author has retired from academic research. Accordingly, this package should not be considered a validated tool for use in peer-reviewed publications or as the basis for grant applications. Backward compatibility with user-code published in <doi:10.1093/bioinformatics/btaf430> is not maintained in versions >= 0.4.0 (June 2026) of this package. The authors of those publications are the appropriate contacts for reproducibility inquiries.
Author: Tingting Zhan [aut, cre]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package gets updated to version 0.40 with previous version 0.38 dated 2024-07-14

Title: General-to-Specific (GETS) Modelling and Indicator Saturation Methods
Description: Automated General-to-Specific (GETS) modelling of the mean and variance of a regression, and indicator saturation methods for detecting and testing for structural breaks in the mean, see Pretis, Reade and Sucarrat (2018) <doi:10.18637/jss.v086.i03> for an overview of the package. In advanced use, the estimator and diagnostics tests can be fully user-specified, see Sucarrat (2021) <doi:10.32614/RJ-2021-024>.
Author: Genaro Sucarrat [aut, cre] , Felix Pretis [aut], James Reade [aut], Jonas Kurle [ctb], Moritz Schwarz [ctb]
Maintainer: Genaro Sucarrat <genaro.sucarrat@bi.no>

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Package rim (with last version 0.8.1) was removed from CRAN

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

2025-07-18 0.8.1

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Package inti updated to version 0.7.2 with previous version 0.7.1 dated 2026-06-22

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 boinet updated to version 1.6.0 with previous version 1.5.0 dated 2025-10-26

Title: Conduct Simulation Study of Bayesian Optimal Interval Design with BOIN-ET Family
Description: Bayesian optimal interval based on both efficacy and toxicity outcomes (BOIN-ET) design is a model-assisted oncology phase I/II trial design, aiming to establish an optimal biological dose accounting for efficacy and toxicity in the framework of dose-finding. Some extensions of BOIN-ET design are also available to allow for time-to-event efficacy and toxicity outcomes based on cumulative and pending data (time-to-event BOIN-ET: TITE-BOIN-ET), ordinal graded efficacy and toxicity outcomes (generalized BOIN-ET: gBOIN-ET), and their combination (TITE-gBOIN-ET). 'boinet' is a package to implement the BOIN-ET design family and supports the conduct of simulation studies to assess operating characteristics of BOIN-ET, TITE-BOIN-ET, gBOIN-ET, and TITE-gBOIN-ET, where users can choose design parameters in flexible and straightforward ways depending on their own application.
Author: Yusuke Yamaguchi [aut, cre], Kentaro Takeda [aut]
Maintainer: Yusuke Yamaguchi <yamagubed@gmail.com>

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Mon, 27 Jul 2026

Package mi updated to version 1.3.1 with previous version 1.2 dated 2025-09-02

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

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Package ERDbuilder updated to version 2.0.0 with previous version 1.0.0 dated 2024-04-01

Title: Entity Relationship Diagrams Builder
Description: Build entity relationship diagrams (ERD) to specify the nature of the relationship between tables in a database.
Author: Jonathan Wood [aut] , Guillermo Basulto-Elias [aut, cre]
Maintainer: Guillermo Basulto-Elias <basulto@iastate.edu>

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Package FlexParamCurve updated to version 1.5-8 with previous version 1.5-7 dated 2025-08-26

Title: Tools to Fit Flexible Parametric Curves
Description: Model selection tools and 'selfStart' functions to fit parametric curves in 'nls', 'nlsList' and 'nlme' frameworks.
Author: Stephen Oswald [aut, cre]
Maintainer: Stephen Oswald <steve.oswald@psu.edu>

Diff between FlexParamCurve versions 1.5-7 dated 2025-08-26 and 1.5-8 dated 2026-07-27

 DESCRIPTION          |    8 ++++----
 MD5                  |    6 +++---
 R/SSposnegRichards.R |    6 +++---
 inst/NEWS.Rd         |    6 ++++++
 4 files changed, 16 insertions(+), 10 deletions(-)

More information about FlexParamCurve at CRAN
Permanent link

Package mqriskR updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-27

Title: Actuarial Risk Modeling and Life Contingencies
Description: Provides functions for actuarial risk modeling, including survival models, life annuities, multiple-decrement models, and mortality improvement projections. The package is designed to align with standard actuarial notation and supports teaching, exam preparation, and reproducible actuarial analysis. The methods are based on standard actuarial references including Camilli, Duncan and London (2014, ISBN:9781625423474) "Models for Quantifying Risk" and Dickson, Hardy and Waters (2020, ISBN:9781108478083) "Actuarial Mathematics for Life Contingent Risks".
Author: Nii Okine [aut, cre]
Maintainer: Nii Okine <okinean@appstate.edu>

Diff between mqriskR versions 0.1.0 dated 2026-04-27 and 0.1.1 dated 2026-07-27

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 mqriskR-0.1.1/mqriskR/DESCRIPTION                                        |    8 
 mqriskR-0.1.1/mqriskR/MD5                                                |  570 +--
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 mqriskR-0.1.1/mqriskR/R/annuity_annual.R                                 |  476 +--
 mqriskR-0.1.1/mqriskR/R/annuity_approximations.R                         |   19 
 mqriskR-0.1.1/mqriskR/R/annuity_mthly.R                                  |  395 +-
 mqriskR-0.1.1/mqriskR/R/annuity_relationships.R                          |  286 +
 mqriskR-0.1.1/mqriskR/R/annuity_varying_payments.R                       |  426 +-
 mqriskR-0.1.1/mqriskR/R/chapter14_multiple_decrement.R                   |  968 ++----
 mqriskR-0.1.1/mqriskR/R/chapter15_variable_interest.R                    |  994 +++---
 mqriskR-0.1.1/mqriskR/R/chapter16_universal_life.R                       |  780 +++--
 mqriskR-0.1.1/mqriskR/R/chapter17_profit_analysis.R                      |  582 ++-
 mqriskR-0.1.1/mqriskR/R/chapter18_pensions.R                             | 1057 +++++-
 mqriskR-0.1.1/mqriskR/R/decrement_ch13_ext.R                             | 1074 +++++-
 mqriskR-0.1.1/mqriskR/R/insurance_continuous.R                           |  182 -
 mqriskR-0.1.1/mqriskR/R/insurance_discrete.R                             |  154 
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 mqriskR-0.1.1/mqriskR/R/insurance_utils.R                                |   90 
 mqriskR-0.1.1/mqriskR/R/insurance_varying_benefits.R                     |  257 +
 mqriskR-0.1.1/mqriskR/R/interest_theory.R                                |  259 +
 mqriskR-0.1.1/mqriskR/R/life_table_conversions.R                         |   24 
 mqriskR-0.1.1/mqriskR/R/life_table_core.R                                |  228 +
 mqriskR-0.1.1/mqriskR/R/life_table_expectations.R                        |  236 -
 mqriskR-0.1.1/mqriskR/R/life_table_fractional.R                          |  117 
 mqriskR-0.1.1/mqriskR/R/life_table_select.R                              |  156 -
 mqriskR-0.1.1/mqriskR/R/mortality_improvement.R                          |  291 -
 mqriskR-0.1.1/mqriskR/R/mqriskR-package.R                                |    6 
 mqriskR-0.1.1/mqriskR/R/multilife_ch12.R                                 | 1547 +++++++---
 mqriskR-0.1.1/mqriskR/R/multilife_ch12_ext.R                             | 1287 ++++++--
 mqriskR-0.1.1/mqriskR/R/premium_ch9.R                                    |  805 +++--
 mqriskR-0.1.1/mqriskR/R/reserve_ch10.R                                   |  200 -
 mqriskR-0.1.1/mqriskR/R/reserve_ch10_ext.R                               | 1547 +++++++---
 mqriskR-0.1.1/mqriskR/R/reserve_ch11.R                                   | 1478 ++++++---
 mqriskR-0.1.1/mqriskR/R/survival_models.R                                |  402 +-
 mqriskR-0.1.1/mqriskR/README.md                                          |   84 
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 mqriskR-0.1.1/mqriskR/inst/extdata/LifeTable.csv                         |only
 mqriskR-0.1.1/mqriskR/inst/extdata/LifeTable.xls                         |binary
 mqriskR-0.1.1/mqriskR/inst/scripts/ch02/ch02_listings.R                  |    2 
 mqriskR-0.1.1/mqriskR/inst/scripts/ch04/ch04_examples_exercises.R        |   28 
 mqriskR-0.1.1/mqriskR/inst/scripts/ch04/ch04_listings.R                  |    2 
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 mqriskR-0.1.1/mqriskR/man/Axj_md.Rd                                      |   41 
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 mqriskR-0.1.1/mqriskR/man/Axn_m.Rd                                       |    3 
 mqriskR-0.1.1/mqriskR/man/DAbarxn1.Rd                                    |    3 
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 mqriskR-0.1.1/mqriskR/man/IAbarx.Rd                                      |    3 
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 mqriskR-0.1.1/mqriskR/man/hazard0.Rd                                     |   21 
 mqriskR-0.1.1/mqriskR/man/htVx.Rd                                        |   10 
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 mqriskR-0.1.1/mqriskR/man/iP_eiul.Rd                                     |    7 
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 mqriskR-0.1.1/mqriskR/man/insurance_discrete.Rd                          |   21 
 mqriskR-0.1.1/mqriskR/man/insurance_mthly.Rd                             |   18 
 mqriskR-0.1.1/mqriskR/man/insurance_utils.Rd                             |    4 
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 mqriskR-0.1.1/mqriskR/man/lx.Rd                                          |    4 
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 mqriskR-0.1.1/mqriskR/man/lx_to_S0.Rd                                    |    4 
 mqriskR-0.1.1/mqriskR/man/markov_nstep_prob.Rd                           |   23 
 mqriskR-0.1.1/mqriskR/man/md_table.Rd                                    |   30 
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 mqriskR-0.1.1/mqriskR/man/mqriskR-package.Rd                             |   11 
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 mqriskR-0.1.1/mqriskR/man/nAbarx.Rd                                      |    2 
 mqriskR-0.1.1/mqriskR/man/nAx.Rd                                         |    2 
 mqriskR-0.1.1/mqriskR/man/nAx_m.Rd                                       |    2 
 mqriskR-0.1.1/mqriskR/man/nEx.Rd                                         |    2 
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 mqriskR-0.1.1/mqriskR/tests/testthat/test-annuity_annual.R               |   23 
 mqriskR-0.1.1/mqriskR/tests/testthat/test-annuity_mthly.R                |   29 
 mqriskR-0.1.1/mqriskR/tests/testthat/test-annuity_relationships.R        |   30 
 mqriskR-0.1.1/mqriskR/tests/testthat/test-annuity_varying_payments.R     |   39 
 mqriskR-0.1.1/mqriskR/tests/testthat/test-ch01-interest.R                |   40 
 mqriskR-0.1.1/mqriskR/tests/testthat/test-chapter14_multiple_decrement.R |  358 ++
 mqriskR-0.1.1/mqriskR/tests/testthat/test-chapter15_variable_interest.R  |  237 +
 mqriskR-0.1.1/mqriskR/tests/testthat/test-chapter16_universal_life.R     |  404 ++
 mqriskR-0.1.1/mqriskR/tests/testthat/test-chapter17_profit_analysis.R    |  458 ++
 mqriskR-0.1.1/mqriskR/tests/testthat/test-chapter18_pensions.R           |  536 +++
 mqriskR-0.1.1/mqriskR/tests/testthat/test-decrement_ch13_ext.R           |  262 +
 mqriskR-0.1.1/mqriskR/tests/testthat/test-insurance_continuous.R         |   22 
 mqriskR-0.1.1/mqriskR/tests/testthat/test-insurance_discrete.R           |   20 
 mqriskR-0.1.1/mqriskR/tests/testthat/test-insurance_mthly.R              |   24 
 mqriskR-0.1.1/mqriskR/tests/testthat/test-life_table_core.R              |   42 
 mqriskR-0.1.1/mqriskR/tests/testthat/test-mortality_improvement.R        |   37 
 mqriskR-0.1.1/mqriskR/tests/testthat/test-multilife_ch12.R               |  354 ++
 mqriskR-0.1.1/mqriskR/tests/testthat/test-multilife_ch12_ext.R           |  260 +
 mqriskR-0.1.1/mqriskR/tests/testthat/test-premium_ch9.R                  |  143 
 mqriskR-0.1.1/mqriskR/tests/testthat/test-reserve_ch10.R                 |  188 +
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 mqriskR-0.1.1/mqriskR/tests/testthat/test-reserve_ch11.R                 |  572 +++
 mqriskR-0.1.1/mqriskR/tests/testthat/test-survival_models.R              |    2 
 336 files changed, 17137 insertions(+), 7592 deletions(-)

More information about mqriskR at CRAN
Permanent link

Package owidapi updated to version 0.1.2 with previous version 0.1.1 dated 2025-06-23

Title: Access the Our World in Data Chart API
Description: Retrieve data from the Our World in Data (OWID) Chart API <https://docs.owid.io/projects/etl/api/>. OWID provides public access to more than 4,000 charts focusing on global problems such as poverty, disease, hunger, climate change, war, existential risks, and inequality.
Author: Christoph Scheuch [aut, cre, cph]
Maintainer: Christoph Scheuch <christoph@tidy-intelligence.com>

Diff between owidapi versions 0.1.1 dated 2025-06-23 and 0.1.2 dated 2026-07-27

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 MD5                                     |   39 +++--
 NEWS.md                                 |   16 ++
 R/helpers.R                             |   28 +++-
 R/owid_get_catalog.R                    |  120 +++++++++++++----
 R/owid_search.R                         |   11 +
 README.md                               |  223 +++++++++++++++++---------------
 man/owid_get.Rd                         |    2 
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 tests/testthat/test-owid_get.R          |  127 ++++++++++++------
 tests/testthat/test-owid_get_catalog.R  |  129 ++++++++++++++++--
 tests/testthat/test-owid_get_metadata.R |   40 ++++-
 19 files changed, 536 insertions(+), 234 deletions(-)

More information about owidapi at CRAN
Permanent link

Package CWT updated to version 0.2.3 with previous version 0.2.1 dated 2024-06-27

Title: Continuous Wavelet Transformation for Spectroscopy
Description: Fast application of Continuous Wavelet Transformation ('CWT') on time series with special attention to spectroscopy. It is written using data.table and 'C++' language and in some functions it is possible to use parallel processing to speed-up the computation over samples. Currently, only the second derivative of a Gaussian wavelet function is implemented.
Author: J. Antonio Guzman Q. [cre, aut, cph]
Maintainer: J. Antonio Guzman Q. <antguz06@gmail.com>

Diff between CWT versions 0.2.1 dated 2024-06-27 and 0.2.3 dated 2026-07-27

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 R/resampling_FWHM.R     |    3 ++-
 man/CWT-package.Rd      |    5 +++++
 man/resampling_FWHM.Rd  |    3 ++-
 src/resampling_FWHM.cpp |    3 ++-
 8 files changed, 50 insertions(+), 24 deletions(-)

More information about CWT at CRAN
Permanent link

Package EDIutils updated to version 3.0.0 with previous version 2.1.0 dated 2026-05-05

Title: An API Client for the Environmental Data Initiative Repository
Description: A client for the Environmental Data Initiative repository REST API. The 'EDI' data repository <https://portal.edirepository.org/nis/home.jsp> is for publication and reuse of ecological data with emphasis on metadata accuracy and completeness. It is built upon the 'PASTA+' software stack <https://pastaplus-core.readthedocs.io/en/latest/index.html#> and was developed in collaboration with the US 'LTER' Network <https://lternet.edu/>. 'EDIutils' includes functions to search and access existing data, evaluate and upload new data, and assist other data management tasks common to repository users.
Author: Colin Smith [aut, cre] , Corinna Gries [ctb] , Jasmine Lai [rev] , Rodrigo Pires [rev]
Maintainer: Colin Smith <colin.smith@wisc.edu>

Diff between EDIutils versions 2.1.0 dated 2026-05-05 and 3.0.0 dated 2026-07-27

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 man/update_data_package.Rd                        |   12 
 tests/testthat/setup-EDIutils.R                   |    8 
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 tests/testthat/test_list_recent_changes.R         |    3 
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 tests/testthat/test_utilities.R                   |   74 +++++
 vignettes/evaluate_and_upload.Rmd                 |   22 -
 vignettes/retrieve_downloads.Rmd                  |    9 
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 162 files changed, 1625 insertions(+), 1357 deletions(-)

More information about EDIutils at CRAN
Permanent link

Package visStatistics updated to version 0.3.0 with previous version 0.2.0 dated 2026-05-12

Title: Automated Selection and Visualisation of Statistical Hypothesis Tests
Description: Automated test selection, visualised. 'visStatistics' automatically selects and visualises statistical hypothesis tests comparing two vectors, based on their class and distribution. Visual outputs, including box plots, bar charts, regression lines with confidence bands, mosaic plots, residual plots, and Q-Q plots, are annotated with relevant test statistics, assumption checks, and post-hoc analyses where applicable. The algorithmic workflow shifts attention from ad-hoc test selection to visual diagnostic assessment and statistical interpretation. It is particularly suited for server-side R applications, where end users interact solely through a web interface to select data groups and receive a complete visual statistical analysis automatically. The same automation makes it useful in time-constrained contexts such as statistical consulting, where it reduces effort spent on test selection and leaves more room for interpretation. The implemented tests cover the most frequently applied i [...truncated...]
Author: Sabine Schilling [cre, aut, cph] , Peter Kauf [ctb]
Maintainer: Sabine Schilling <sabineschilling@gmx.ch>

Diff between visStatistics versions 0.2.0 dated 2026-05-12 and 0.3.0 dated 2026-07-27

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Package nhdplusTools updated to version 1.5.1 with previous version 1.5.0 dated 2026-05-26

Title: NHDPlus Tools
Description: Tools for traversing and working with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'nhdplusTools' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>.
Author: David Blodgett [aut, cre] , Mike Johnson [aut] , Marc Weber [ctb] , Josh Erickson [ctb], Lauren Koenig [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package vol2birdR updated to version 1.3.1 with previous version 1.3.0 dated 2026-06-09

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

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Package teal.reporter updated to version 0.6.3 with previous version 0.6.2 dated 2026-06-29

Title: Reporting Tools for 'shiny' Modules
Description: Prebuilt 'shiny' modules containing tools for the generation of 'rmarkdown' reports, supporting reproducible research and analysis.
Author: Dawid Kaledkowski [aut] , Kartikeya Kirar [aut] , Marcin Kosinski [aut], Maciej Nasinski [aut], Konrad Pagacz [aut], Mahmoud Hallal [aut], Chendi Liao [rev], Dony Unardi [rev, cre], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Dony Unardi <unardid@gene.com>

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Package obr updated to version 0.5.1 with previous version 0.2.5 dated 2026-04-14

Title: Access 'Office for Budget Responsibility' Data
Description: Provides clean, tidy access to data published by the 'Office for Budget Responsibility' ('OBR'), the UK's independent fiscal watchdog. Covers the Public Finances Databank (outturn for PSNB, PSND, receipts, and expenditure since 1946), the Historical Official Forecasts Database (every 'OBR' forecast since 2010), the Economic and Fiscal Outlook detailed forecast tables (five-year projections from the latest Budget), the Welfare Trends Report (incapacity benefit spending and caseloads), and the Fiscal Risks and Sustainability Report (50-year state pension projections). All returned objects carry provenance metadata recording the source URL, publication vintage, retrieval time, and file fingerprint, so analyses can be audited and reproduced. Data is downloaded from the 'OBR' on first use and cached locally for subsequent calls. Data is sourced from the 'OBR' website <https://obr.uk>.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package DSAIDE updated to version 1.0.0 with previous version 0.9.6 dated 2023-08-23

Title: Dynamical Systems Approach to Infectious Disease Epidemiology (Ecology/Evolution)
Description: Exploration of simulation models (apps) of various infectious disease transmission dynamics scenarios. The purpose of the package is to help individuals learn about infectious disease epidemiology (ecology/evolution) from a dynamical systems perspective. All apps include explanations of the underlying models and instructions on what to do with the models.
Author: Andreas Handel [aut, cre] , Cody Dailey [ctb], Isaac Chun-Hai Fung [ctb], Ronald Galiwango [ctb], Salil Goyal [ctb], Spencer Hall [ctb], Ben Listyg [ctb], Brian McKay [ctb], John Rossow [ctb], Sina Solaimanpour [ctb], Alexis Vittengl [ctb], Henok Wol [...truncated...]
Maintainer: Andreas Handel <andreas.handel@gmail.com>

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Package tidyactuarial updated to version 0.1.6 with previous version 0.1.5 dated 2026-07-27

Title: Tidy Tools for Actuarial Mathematics and Life Contingencies
Description: Provides tidyverse-aligned tools for actuarial mathematics and life contingencies, including life tables, survival probabilities, actuarial present values of cash flows, life annuities, life insurance, premiums, reserves, multiple-life calculations, Monte Carlo simulation, and deterministic cash-flow diagrams. The package emphasizes clear actuarial notation, reproducible workflows, and pipe-friendly tools for actuarial education and applied actuarial analysis.
Author: Julian Fajardo [aut, cre]
Maintainer: Julian Fajardo <julian.fajardo1908@gmail.com>

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Package nhanesdiva updated to version 1.0.2 with previous version 1.0.0 dated 2026-05-19

Title: NHANES Data Search, Preview, and Download Tools
Description: Search, preview, and download datasets from the National Health and Nutrition Examination Survey (NHANES) across survey cycles. The package provides functions to identify relevant datasets by keyword, inspect available .XPT files before downloading, and organize retrieved data locally. Data are retrieved from the NHANES web services available at <https://wwwn.cdc.gov/nchs/nhanes/> .
Author: Sushma Dahal [aut, cre]
Maintainer: Sushma Dahal <sushdahal@gmail.com>

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Package guideR updated to version 0.10.0 with previous version 0.9.0 dated 2026-01-08

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

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Package ggplotplus updated to version 0.5.6 with previous version 0.5.5 dated 2026-06-17

Title: Universal Design-Oriented Enhancements for 'ggplot2'
Description: A collection of enhancements to 'ggplot2', with a focus on creating Universally Designed, accessible graphs easily and quickly.
Author: Alex Bajcz [aut, cre]
Maintainer: Alex Bajcz <bajcz003@umn.edu>

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Package ackwards updated to version 0.2.0 with previous version 0.1.1 dated 2026-07-24

Title: Bass-Ackwards Hierarchical Structural Analysis
Description: Implements Goldberg's (2006) <doi:10.1016/j.jrp.2006.01.001> bass-ackwards method and modern descendants for hierarchical structural analysis. Extracts solutions from 1 to k factors using principal component analysis (PCA), exploratory factor analysis (EFA), or exploratory structural equation modeling (ESEM) engines, then characterizes the hierarchy via between-level factor-score correlations computed via exact linear algebra (Waller, 2007, <doi:10.1016/j.jrp.2006.08.005>) or materialized scores. Includes the Forbes (2023) <doi:10.1037/met0000546> extension for redundancy pruning and all-levels cross-correlations.
Author: Jeffrey M. Girard [aut, cre] , Miriam K. Forbes [cph] , CC-BY 4.0)
Maintainer: Jeffrey M. Girard <me@jmgirard.com>

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Package RMark updated to version 3.1.0 with previous version 3.0.8 dated 2026-06-14

Title: R Code for Mark Analysis
Description: An interface to the software package MARK that constructs input files for MARK and extracts the output. MARK was developed by Gary White and is freely available at <http://www.phidot.org/software/mark/downloads/> but is not open source.
Author: Simon Bonner [cre], Jeff Laake [aut], Eldar Rakhimberdiev [ctb], Ben Augustine [ctb], Daniel Turek [ctb], Brett McClintock [ctb], Jim Hines [ctb], Bret Collier [ctb], Jay Rotella [ctb], David Pavlacky [ctb], Andrew Paul [ctb], Luke Eberhart- Phillips [...truncated...]
Maintainer: Simon Bonner <simon.bonner@uwo.ca>

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Package nnmf updated to version 1.6 with previous version 1.4 dated 2026-04-12

Title: Nonnegative Matrix Factorization
Description: Nonnegative matrix factorization (NMF) is a technique to factorize a matrix with nonnegative values into the product of two matrices. Covariates are also allowed. Parallel computing is an option to enhance the speed and high-dimensional and large scale (and/or sparse) data are allowed. Relevant papers include: Sevinc V., Kontemeniotis N., Perdikis T. and Tsagris M. (2026). Non-negative matrix factorization using the R package nnmf <doi:10.48550/arXiv.2607.20084>, Wang Y. X. and Zhang Y. J. (2012). Nonnegative matrix factorization: A comprehensive review. IEEE Transactions on Knowledge and Data Engineering, 25(6): 1336-1353 <doi:10.1109/TKDE.2012.51> and Kim H. and Park H. (2008). Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method. SIAM Journal on Matrix Analysis and Applications, 30(2): 713-730 <doi:10.1137/07069239X>.
Author: Michail Tsagris [aut, cre], Nikolaos Kontemeniotis [aut], Christos Adam [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package LLMRagent updated to version 0.8.1 with previous version 0.8.0 dated 2026-07-21

Title: Reproducible Language-Model Agents for Research
Description: Large language model agents as governed research instruments, built on 'LLMR'. The package supports designed conversations and factorial experiments with declared tools and budgets. Each run produces an inspectable record that can be archived and checked.
Author: Ali Sanaei [aut, cre]
Maintainer: Ali Sanaei <sanaei@uchicago.edu>

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Permanent link

Package ClassDiscovery updated to version 3.4.10 with previous version 3.4.9 dated 2025-09-03

Title: Classes and Methods for "Class Discovery" with Microarrays or Proteomics
Description: Defines the classes used for "class discovery" problems in the OOMPA project (<http://oompa.r-forge.r-project.org/>). Class discovery primarily consists of unsupervised clustering methods with attempts to assess their statistical significance.
Author: Kevin R. Coombes [aut, cre]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

Diff between ClassDiscovery versions 3.4.9 dated 2025-09-03 and 3.4.10 dated 2026-07-27

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More information about ClassDiscovery at CRAN
Permanent link

Package cevcmm updated to version 0.1.4 with previous version 0.1.3 dated 2026-07-24

Title: Communication-Efficient Varying Coefficient Mixed-Effects Models
Description: Scalable inference for Varying Coefficient Mixed-Effects Models (VCMMs) with large, correlated random effects. Implements sufficient-statistics, one-step communication-efficient surrogate likelihood, and SVD-stabilized (Singular Value Decomposition) estimators with Kronecker and separable covariance structures. Implements the methodology of Jalili and Lin (2025) <doi:10.48550/arXiv.2511.12732>.
Author: Lida Jalili [aut, cre], Li-Hsiang Lin [aut]
Maintainer: Lida Jalili <lchalangarjalilideh1@gsu.edu>

Diff between cevcmm versions 0.1.3 dated 2026-07-24 and 0.1.4 dated 2026-07-27

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 MD5                                  |    8 ++++----
 NEWS.md                              |   18 ++++++++++++++++++
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Permanent link

Package VizModules updated to version 0.3.0 with previous version 0.2.0 dated 2026-06-16

Title: Flexible, Interactive 'shiny' Modules for Almost Any Plot
Description: Offers a core selection of interactivity-first 'shiny' modules for many plot types meant to serve as flexible building blocks for applications and as the base for more complex modules. These modules allow for the rapid and convenient construction of 'shiny' apps with very few lines of code and decouple plotting from the underlying data. These modules allow for full plot aesthetic customization by the end user through UI inputs. Utility functions for simple UI organization, automated UI tooltips, and additional plot enhancements are also provided. Includes a multi-panel figure builder app for arranging multiple modules together in a free-form layout.
Author: Jared Andrews [aut, cre] , Jacob Martin [aut]
Maintainer: Jared Andrews <jared.andrews07@gmail.com>

Diff between VizModules versions 0.2.0 dated 2026-06-16 and 0.3.0 dated 2026-07-27

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Package SimDesign updated to version 2.26 with previous version 2.25 dated 2026-03-31

Title: Structure for Organizing Monte Carlo Simulation Designs
Description: Provides tools to safely and efficiently organize and execute Monte Carlo simulation experiments in R. The package controls the structure and back-end of Monte Carlo simulation experiments by utilizing a generate-analyse-summarise workflow. The workflow safeguards against common simulation coding issues, such as automatically re-simulating non-convergent results, prevents inadvertently overwriting simulation files, catches error and warning messages during execution, implicitly supports parallel processing with high-quality random number generation, and provides tools for managing high-performance computing (HPC) array jobs submitted to schedulers such as SLURM. For a pedagogical introduction to the package see Sigal and Chalmers (2016) <doi:10.1080/10691898.2016.1246953>. For a more in-depth overview of the package and its design philosophy see Chalmers and Adkins (2020) <doi:10.20982/tqmp.16.4.p248>.
Author: Phil Chalmers [aut, cre] , Matthew Sigal [ctb], Ogreden Oguzhan [ctb], Mikko Roenkkoe [aut], Moritz Ketzer [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

Diff between SimDesign versions 2.25 dated 2026-03-31 and 2.26 dated 2026-07-27

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Package mllrnrs updated to version 0.0.9 with previous version 0.0.8 dated 2026-01-17

Title: R6-Based ML Learners for 'mlexperiments'
Description: Enhances 'mlexperiments' <https://CRAN.R-project.org/package=mlexperiments> with additional machine learning ('ML') learners. The package provides R6-based learners for the following algorithms: 'glmnet' <https://CRAN.R-project.org/package=glmnet>, 'ranger' <https://CRAN.R-project.org/package=ranger>, 'xgboost' <https://CRAN.R-project.org/package=xgboost>, and 'lightgbm' <https://CRAN.R-project.org/package=lightgbm>. These can be used directly with the 'mlexperiments' R package.
Author: Lorenz A. Kapsner [cre, aut, cph]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>

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Package fable.intermittent updated to version 0.2.0 with previous version 0.1.1 dated 2026-06-24

Title: Forecasting Models for Intermittent Time Series
Description: Extends the 'fable' framework to support forecasting methods specifically designed for intermittent time series data, where demand occurs sporadically with many zero values. All methods produce probabilistic forecasts returned as 'distributional' objects. The returned forecasts can be used to evaluate accuracy, plot and print the results seamlessly with 'fable'. The methods include: Harvey, Fernandes (1989) <doi:10.1080/07350015.1989.10509750>, Willemain, Smart, Schwarz (2004) <doi:10.1016/S0169-2070(03)00013-X>, Zhou, Viswanathan (2011) <doi:10.1016/j.ijpe.2010.09.021>, Snyder, Ord, Beaumont (2012) <doi:10.1016/j.ijforecast.2011.03.009>, Kolassa (2016) <doi:10.1016/j.ijforecast.2015.12.004>, Hasni, Aguir, Babai, Jemai (2019) <doi:10.1080/00207543.2018.1424375>, Damato, Azzimonti, Corani (2025) <doi:10.1016/j.ijforecast.2025.10.001>, Sbrana (2025) <doi:10.1080/01605682.2025.2569661>.
Author: Stefano Damato [aut, cre, cph] , Lorenzo Zambon [aut] , Dario Azzimonti [aut]
Maintainer: Stefano Damato <stefanodamato128@gmail.com>

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Package stream updated to version 2.0.6 with previous version 2.0-3 dated 2025-03-12

Title: Infrastructure for Data Stream Mining
Description: A framework for data stream modeling and associated data mining tasks such as clustering and classification. The development of this package was supported in part by NSF IIS-0948893, NSF CMMI 1728612, and NIH R21HG005912. Hahsler et al (2017) <doi:10.18637/jss.v076.i14>.
Author: Michael Hahsler [aut, cre, cph] , Matthew Bolanos [ctb], John Forrest [ctb], Matthias Carnein [ctb], Dennis Assenmacher [ctb], Dalibor Krleza [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package mcptools updated to version 1.0.1 with previous version 1.0.0 dated 2026-07-02

Title: Model Context Protocol Servers and Clients
Description: Implements the Model Context Protocol (MCP). Users can start 'R'-based servers, serving functions as tools for large language models to call before responding to the user in MCP-compatible apps like 'Claude Desktop' and 'Claude Code', with options to run those tools inside of interactive 'R' sessions. On the other end, when 'R' is the client via the 'ellmer' package, users can register tools from third-party MCP servers to integrate additional context into chats.
Author: Simon Couch [aut, cre] , Winston Chang [aut] , Charlie Gao [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Simon Couch <simon.couch@posit.co>

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Package semlbci updated to version 0.12.1 with previous version 0.12.0 dated 2026-07-08

Title: Likelihood-Based Confidence Interval in Structural Equation Models
Description: Forms likelihood-based confidence intervals (LBCIs) for parameters in structural equation modeling, introduced in Cheung and Pesigan (2023) <doi:10.1080/10705511.2023.2183860>. Currently implements the algorithm illustrated by Pek and Wu (2018) <doi:10.1037/met0000163>, and supports the robust LBCI proposed by Falk (2018) <doi:10.1080/10705511.2017.1367254>.
Author: Shu Fai Cheung [aut, cre] , Ivan Jacob Agaloos Pesigan [ctb]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

Diff between semlbci versions 0.12.0 dated 2026-07-08 and 0.12.1 dated 2026-07-27

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Package semfindr updated to version 0.2.1 with previous version 0.2.0 dated 2026-03-06

Title: Influential Cases in Structural Equation Modeling
Description: Sensitivity analysis in structural equation modeling using influence measures and diagnostic plots. Support leave-one-out casewise sensitivity analysis presented by Pek and MacCallum (2011) <doi:10.1080/00273171.2011.561068> and approximate casewise influence using scores and casewise likelihood. An introduction to the package can be found in Cheung and Lai (2026) <doi:10.1080/00273171.2026.2634293>.
Author: Shu Fai Cheung [aut, cre] , Mark Hok Chio Lai [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

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Package RcppParallel updated to version 6.1.1 with previous version 6.1.0 dated 2026-07-25

Title: Parallel Programming Tools for 'Rcpp'
Description: High level functions for parallel programming with 'Rcpp'. For example, the 'parallelFor()' function can be used to convert the work of a standard serial "for" loop into a parallel one and the 'parallelReduce()' function can be used for accumulating aggregate or other values.
Author: Kevin Ushey [aut, cre] , JJ Allaire [aut], Romain Francois [aut, cph], Gregory Vandenbrouck [aut], Marcus Geelnard [aut, cph] , Hamada S. Badr [ctb] , Dirk Eddelbuettel [aut] , Intel [aut, cph] , UXL Foundation [aut, cph] , Microsoft [cph], Posit, PB [...truncated...]
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between RcppParallel versions 6.1.0 dated 2026-07-25 and 6.1.1 dated 2026-07-27

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Package gsClusterDetect updated to version 1.0.1 with previous version 1.0.0 dated 2026-03-23

Title: Utilities for Geo-Spatial Cluster Detection and Significance Classification
Description: Provides utilities for manipulating time series of location-based counts of events to detect geo-spatial clusters. Significance of these clusters is determined using a set of models that classify based on a learned relationship between observed and the log(observed/expected) ratio of counts. The approach implemented here is similar to prospective space-time estimation of clusters using the scan statistic.
Author: Luke C. Mullany [aut, cre], Howard S. Burkom [aut]
Maintainer: Luke C. Mullany <luke.mullany@jhuapl.edu>

Diff between gsClusterDetect versions 1.0.0 dated 2026-03-23 and 1.0.1 dated 2026-07-27

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Package alphaN updated to version 0.3.0 with previous version 0.2.0 dated 2026-07-12

Title: Set Alpha Based on Sample Size Using Bayes Factors
Description: Sets the alpha level for coefficients in a regression model as a decreasing function of the sample size through the use of Jeffreys' Approximate Bayes factor. You tell alphaN() your sample size, and it tells you to which value you must lower alpha to avoid Lindley's Paradox. For details, see Wulff and Taylor (2024) <doi:10.1177/14761270231214429>. Alpha can also be calibrated to the effect-size and moment Bayes factors of Klauer, Meyer-Grant, and Kellen (2025) <doi:10.3758/s13423-024-02612-2>, which center the alternative hypothesis on an effect size of your choosing.
Author: Jesper Wulff [aut, cre] , Luke Taylor [aut]
Maintainer: Jesper Wulff <jwulff@econ.au.dk>

Diff between alphaN versions 0.2.0 dated 2026-07-12 and 0.3.0 dated 2026-07-27

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New package TextAnalysisR with initial version 0.1.4
Package: TextAnalysisR
Title: A Text Mining Workflow Tool
Version: 0.1.4
Description: Provides a text mining and natural language processing workflow for documents. Includes preprocessing via 'quanteda', lexical analysis (term frequency-inverse document frequency, log-odds ratios, lexical diversity) via 'tidytext', topic modeling via 'stm' and the 'BERTopic' approach, semantic similarity and document clustering on transformer representations, an interactive 'Shiny' interface with 'ggplot2' visualization, optional 'spaCy' preprocessing, and local 'sentence-transformers' or web-based ('OpenAI', 'Gemini') model providers for retrieval-augmented generation, as described in Shin et al. (2026) <doi:10.1177/07319487251412879>.
License: GPL (>= 3)
Language: en-US
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Imports: dplyr, DT, ggplot2, htmltools, htmlwidgets, igraph, magrittr, Matrix, methods, quanteda, quanteda.textstats, RColorBrewer, rlang, scales, shiny, tibble, tidyr, tidytext, widyr, withr
Suggests: aricode, tidylo, broom, patchwork, cluster, clusterCrit, colourpicker, covr, dbscan, digest, httr, jsonlite, knitr, markdown, MASS, moments, numform, officer, openxlsx, pdftools, progress, proxy, pscl, purrr, readxl, reticulate (>= 1.28), rmarkdown, roxygen2, Rtsne, shinyBS, shinybusy, shinyjs, spelling, stm, stopwords, stringr, syuzhet, testthat (>= 3.0.0), textdata, umap, plotly
Depends: R (>= 4.0)
SystemRequirements: Python (>= 3.8) with spaCy (>= 3.5) for lemmatization and sentence-transformers (>= 2.2) for embeddings (optional)
URL: https://mshin77.github.io/TextAnalysisR/, https://github.com/mshin77/TextAnalysisR
BugReports: https://github.com/mshin77/TextAnalysisR/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-17 17:44:05 UTC; shinm
Author: Mikyung Shin [aut, cre]
Maintainer: Mikyung Shin <shin.mikyung@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-27 14:40:13 UTC

More information about TextAnalysisR at CRAN
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New package postshock with initial version 0.2.0
Package: postshock
Title: Donor-Adjusted Post-Shock Forecasting
Version: 0.2.0
Description: Implements donor-adjusted methods for forecasting conditional means and variances after structural shocks. Historical donor episodes are weighted using covariates observed before each shock, and their estimated post-shock effects are combined with forecasts from a target-series model. The methods build on Lin and Eck (2021) <doi:10.1016/j.ijforecast.2021.03.010>. The package supports donor balancing weights, structured donor pools, autoregressive integrated moving average models, and generalized autoregressive conditional heteroscedasticity models with external regressors.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: Rsolnp, garchx, forecast, lmtest, xts, zoo
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-17 17:38:07 UTC; wangqiyang
Author: Qiyang Wang [aut, cre] , Daniel J. Eck [aut]
Maintainer: Qiyang Wang <wangqiyang497@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-27 14:40:02 UTC

More information about postshock at CRAN
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Package PLNmodels updated to version 1.3.0 with previous version 1.2.2 dated 2025-03-21

Title: Poisson Lognormal Models
Description: The Poisson-lognormal model and variants (Chiquet, Mariadassou and Robin, 2021 <doi:10.3389/fevo.2021.588292>) can be used for a variety of multivariate problems when count data are at play, including principal component analysis for count data, discriminant analysis, model-based clustering and network inference. Implements variational algorithms to fit such models accompanied with a set of functions for visualization and diagnostic.
Author: Julien Chiquet [aut, cre] , Mahendra Mariadassou [aut] , Stephane Robin [aut], Francois Gindraud [aut], Julie Aubert [ctb], Bastien Batardiere [ctb], Giovanni Poggiato [ctb], Cole Trapnell [ctb], Maddy Duran [ctb]
Maintainer: Julien Chiquet <julien.chiquet@inrae.fr>

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New package MVLs with initial version 2.1
Package: MVLs
Title: Model Validation Levels
Version: 2.1
Description: Calculates Model Validation Levels from user provided model data, referent data, and scope files as described by Stafford, Provost, & Jones (2025) <doi:10.1080/17477778.2025.2536096>. Data files must be structured according to one of the accepted Excel templates as shown by Jones, Provost, Stafford, & Young (2026) <https://www.afit.edu/docs/MVL%20User%20Guide%20v4.pdf>.
License: MIT + file LICENSE
Imports: dplyr, DT, geometry, htmlwidgets, lhs, magrittr, openxlsx, purrr, RANN, readxl, shiny, shinyWidgets, stats, tibble, tidyselect, markdown, utils
Encoding: UTF-8
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-17 17:13:51 UTC; cweeks
Author: Kyle Provost [aut], Corinne Stafford [aut, cre], Ronald Prescott [ctb], Chloe Young [ctb], Nicholas Jones [ctb]
Maintainer: Corinne Stafford <corinne.stafford.ctr@us.af.mil>
Repository: CRAN
Date/Publication: 2026-07-27 14:40:24 UTC

More information about MVLs at CRAN
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New package hashtable with initial version 1.0.0
Package: hashtable
Title: Hash Table and Hash Set
Version: 1.0.0
Date: 2026-7-17
Depends: R (>= 4.0.0)
Imports: methods, Rcpp, fastmatch
LinkingTo: Rcpp
Suggests: knitr, rmarkdown
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.
URL: https://github.com/jokergoo/hashtable, https://jokergoo.github.io/hashtable/
VignetteBuilder: knitr
BugReports: https://github.com/jokergoo/hashtable/issues
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-07-17 16:59:57 UTC; guz
Author: Zuguang Gu [aut, cre]
Maintainer: Zuguang Gu <guzuguang@suat-sz.edu.cn>
Repository: CRAN
Date/Publication: 2026-07-27 14:40:08 UTC

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Package crmPack updated to version 2.2.1 with previous version 2.2.0 dated 2026-07-05

Title: Object-Oriented Implementation of Dose Escalation Designs
Description: Implements a wide range of dose escalation designs. The focus is on model-based designs, ranging from classical and modern continual reassessment methods (CRMs) based on dose-limiting toxicity endpoints to dual-endpoint designs taking into account a biomarker/efficacy outcome. Bayesian inference is performed via MCMC sampling in JAGS, and it is easy to setup a new design with custom JAGS code. However, it is also possible to implement 3+3 designs for comparison or models with non-Bayesian estimation. The whole package is written in a modular form in the S4 class system, making it very flexible for adaptation to new models, escalation or stopping rules. Further details are presented in Sabanés Bové et al. (2019) <doi:10.18637/jss.v089.i10>.
Author: Daniel Sabanes Bove [aut, cre] , Wai Yin Yeung [aut], Burak Kuersad Guenhan [aut], Giuseppe Palermo [aut], Thomas Jaki [aut], Jiawen Zhu [aut], Ziwei Liao [aut], Dimitris Kontos [aut], Marlene Schulte-Goebel [aut], Doug Kelkhoff [aut] , Oliver Boix [ [...truncated...]
Maintainer: Daniel Sabanes Bove <daniel.sabanes_bove@rconis.com>

Diff between crmPack versions 2.2.0 dated 2026-07-05 and 2.2.1 dated 2026-07-27

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Package poseticDataAnalysis updated to version 1.1.1 with previous version 1.1.0 dated 2026-05-18

Title: Posetic Data Analysis
Description: Build and manipulate partially ordered sets (posets), to perform some data analysis on them and to implement multi-criteria decision making procedures. Several efficient ways for generating linear extensions are implemented, together with functions for building mutual ranking probabilities, incomparability, dominance and separation scores (Fattore, M., De Capitani, L., Avellone, A., Suardi, A. (2024). A fuzzy posetic toolbox for multi-criteria evaluation on ordinal data systems. ANNALS OF OPERATIONS RESEARCH <doi:10.1007/s10479-024-06352-3>).
Author: Alessandro Avellone [aut, cre], Lucio De Capitani [aut], Marco Fattore [aut]
Maintainer: Alessandro Avellone <alessandro.avellone@unimib.it>

Diff between poseticDataAnalysis versions 1.1.0 dated 2026-05-18 and 1.1.1 dated 2026-07-27

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Package ctreeMI updated to version 1.0.0 with previous version 0.3.0 dated 2026-07-25

Title: Conditional Inference Trees with Stacked Multiple Imputation
Description: Implements the stacked-imputation workflow for conditional inference trees ('ctree') described in Sherlock et al. (2026) <doi:10.1080/00273171.2026.2661244>. When data contain missing values, multiply imputed datasets (e.g., from 'mice') are stacked vertically and a single 'ctree' is fit on the combined data. To correct for the artificially inflated sample size introduced by stacking, every node-level test statistic is divided by the number of imputations M, the node-level p-values are recomputed from the chi-squared reference distribution 'ctree' uses (including its multiplicity adjustment across candidate splitting variables), and the tree is compressed bottom-up (the Stack/M correction). Degrees of freedom are derived for each node and each candidate variable, so univariate, bivariate and higher-dimensional outcomes are all handled, as are unordered factor predictors, whose degrees of freedom depend on how many levels remain in a node. The result is a conservative but interpre [...truncated...]
Author: Phillip Sherlock [aut, cre]
Maintainer: Phillip Sherlock <phillip.sherlock@ufl.edu>

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Package rvif updated to version 3.2.1 with previous version 3.2 dated 2025-10-09

Title: Collinearity Detection using Redefined Variance Inflation Factor and Graphical Methods
Description: The detection of troubling approximate collinearity in a multiple linear regression model is a classical problem in Econometrics. This package is focused on determining whether or not the degree of approximate multicollinearity in a multiple linear regression model is of concern, meaning that it affects the statistical analysis (i.e. individual significance tests) of the model. This objective is achieved by using the variance inflation factor redefined and the scatterplot between the variance inflation factor and the coefficient of variation. For more details see Salmerón R., García C.B. and García J. (2018) <doi:10.1080/00949655.2018.1463376>, Salmerón, R., Rodríguez, A. and García C. (2020) <doi:10.1007/s00180-019-00922-x>, Salmerón, R., García, C.B, Rodríguez, A. and García, C. (2022) <doi:10.32614/RJ-2023-010>, Salmerón, R., García, C.B. and García, J. (2025) <doi:10.1007/s10614-024-10575-8> and Salmerón, R., García, C.B, García J. (2023, working paper) < [...truncated...]
Author: R. Salmeron [aut, cre], C.B. Garcia [aut]
Maintainer: R. Salmeron <romansg@ugr.es>

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Package cardargus updated to version 0.2.5 with previous version 0.2.3 dated 2026-06-14

Title: Generate SVG Information Cards with Embedded Fonts and Badges
Description: Create self-contained SVG information cards with embedded 'Google Fonts', shields-style badges, and custom logos. Cards are fully portable SVG files ideal for dashboards, reports, and web applications. Includes functions to export cards to PNG and PDF formats and display them in 'R Markdown' and 'Quarto' documents.
Author: Andre Leite [aut, cre], Marcos Wasiliew [aut], Hugo Vasconcelos [aut], Carlos Amorim [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Package iNZightTools readmission to version 2.0.4 with previous version 2.0.3 dated 2025-07-29

Title: Tools for 'iNZight'
Description: Provides a collection of wrapper functions for common variable and dataset manipulation workflows primarily used by 'iNZight', a graphical user interface providing easy exploration and visualisation of data for students of statistics, available in both desktop and online versions. Additionally, many of the functions return the 'tidyverse' code used to obtain the result in an effort to bridge the gap between GUI and coding.
Author: Tom Elliott [aut, cre] , Daniel Barnett [aut], Yiwen He [aut], Zhaoming Su [aut], Lushi Cai [ctb], Akshay Gupta [ctb], Owen Jin [ctb], Christoph Knopf [ctb]
Maintainer: Tom Elliott <tom.elliott@auckland.ac.nz>

This is a re-admission after prior archival of version 2.0.3 dated 2025-07-29

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Package gerda updated to version 0.8.1 with previous version 0.8.0 dated 2026-07-24

Title: German Election Database (GERDA)
Description: Provides tools to download datasets of German elections covering local, state, federal, mayoral, European Parliament, and county (Kreistag) elections, with federal county-level coverage from 1953 and other families extending through 2025. The package supplies turnout, vote shares, and derived indicators at the municipal and county level, including geographically harmonized datasets that account for changes in municipal boundaries over time and incorporate mail-in voting districts. Bundled data includes county-level INKAR covariates (1995-2022) and municipality-level Zensus 2022 indicators. Data is sourced from <https://github.com/awiedem/german_election_data>.
Author: Hanno Hilbig [aut, cre]
Maintainer: Hanno Hilbig <hhilbig@ucdavis.edu>

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Package fcaR updated to version 2.1.0 with previous version 1.5.0 dated 2026-02-13

Title: Formal Concept Analysis
Description: Provides tools to perform fuzzy formal concept analysis, presented in Wille (1982) <doi:10.1007/978-3-642-01815-2_23> and in Ganter and Obiedkov (2016) <doi:10.1007/978-3-662-49291-8>. It provides functions to load and save a formal context, extract its concept lattice and implications. In addition, one can use the implications to compute semantic closures of fuzzy sets and, thus, build recommendation systems. Boolean Matrix Factorization (BMF) is provided by several algorithms (such as GreConD, ASSO, RSF, RSF-ES, GreEss, PaNDa+, and Hyper+).
Author: Domingo Lopez Rodriguez [aut, cre] , Angel Mora [aut]
Maintainer: Domingo Lopez Rodriguez <dominlopez78@gmail.com>

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Package FastSurvival updated to version 0.2.0 with previous version 0.1.0 dated 2026-05-27

Title: Fast Survival Analysis and Simulation for Clinical Trials
Description: Provides fast alternatives to standard survival analysis functions in the 'survival' package, together with tools for time-to-event trial simulation and sequential analysis. The estimation and testing functions cover a single-time-point Kaplan-Meier estimator (survfit_fast()), log-rank tests including weighted and stratified variants (survdiff_fast()), a closed-form hazard ratio estimator based on the Pike-Halley Estimator method (coxph_fast()), restricted mean survival time (rmst_fast()), window mean survival time (wmst_fast()), milestone survival comparison (milestone_fast()), median survival time (medsurv_fast()), the max-combo test (maxcombo_fast()), the robust modestly-weighted log-rank test (rmw_fast()), the weighted Kaplan-Meier (Pepe-Fleming) test (wkm_fast()), the average hazard with survival weight (ahsw_fast()), and the Kalbfleisch-Prentice average hazard ratio (ahr_fast()). The simulation layer generates individual patient data (simdata_fast()), performs interim or sequenti [...truncated...]
Author: Gosuke Homma [aut, cre]
Maintainer: Gosuke Homma <my.name.is.gosuke@gmail.com>

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Package BayesDecon updated to version 0.1.7 with previous version 0.1.6 dated 2026-03-14

Title: Density Deconvolution Using Bayesian Semiparametric Methods
Description: Estimates the density of a variable in a measurement error setup, potentially with an excess of zero values. For more details see Sarkar (2021). <doi:10.1080/01621459.2020.1782220>.
Author: Blake Moya [aut], Mainak Manna [cre, aut], Abhra Sarkar [aut], The University of Texas at Austin [cph, fnd]
Maintainer: Mainak Manna <mainakmanna29@utexas.edu>

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Package survsim updated to version 1.1.9 with previous version 1.1.8 dated 2021-12-14

Title: Simulation of Simple and Complex Survival Data
Description: Simulation of simple and complex survival data including recurrent and multiple events and competing risks. See Moriña D, Navarro A. (2014) <doi:10.18637/jss.v059.i02> and Moriña D, Navarro A. (2017) <doi:10.1080/03610918.2016.1175621>.
Author: David Morina Soler [aut, cre] , Albert Navarro [aut]
Maintainer: David Morina Soler <david.morina@uab.cat>

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Package propagate updated to version 1.2-0 with previous version 1.1-0 dated 2026-02-25

Title: Propagation of Uncertainty
Description: Propagation of uncertainty using higher-order Taylor expansion and Monte Carlo simulation. Calculations of propagated uncertainties are based on matrix calculus including covariance structure according to Arras 1998 <doi:10.3929/ethz-a-010113668> (first order), Wang & Iyer 2005 <doi:10.1088/0026-1394/42/5/011> (second order) and BIPM Supplement 1 (Monte Carlo) <doi:10.59161/JCGM101-2008>.
Author: Andrej-Nikolai Spiess [aut, cre]
Maintainer: Andrej-Nikolai Spiess <draspiess@gmail.com>

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Package ordinal updated to version 2026.7-26 with previous version 2025.12-29 dated 2026-01-10

Title: Regression Models for Ordinal Data
Description: Implementation of cumulative link (mixed) models also known as ordered regression models, proportional odds models, proportional hazards models for grouped survival times and ordered logit/probit/... models. Estimation is via maximum likelihood and mixed models are fitted with the Laplace approximation and adaptive Gauss-Hermite quadrature. Multiple random effect terms are allowed and they may be nested, crossed or partially nested/crossed. Restrictions of symmetry and equidistance can be imposed on the thresholds (cut-points/intercepts). Standard model methods are available (summary, anova, drop-methods, step, confint, predict etc.) in addition to profile methods and slice methods for visualizing the likelihood function and checking convergence.
Author: Rune Haubo Bojesen Christensen [aut, cre]
Maintainer: Rune Haubo Bojesen Christensen <rune.haubo@gmail.com>

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Package optiSolve updated to version 1.0.1 with previous version 1.0 dated 2021-10-13

Title: Linear, Quadratic, and Rational Optimization
Description: Solver for linear, quadratic, and rational programs with linear, quadratic, and rational constraints. A unified interface to different R packages is provided. Optimization problems are transformed into equivalent formulations and solved by the respective package. For example, quadratic programming problems with linear, quadratic and rational constraints can be solved by augmented Lagrangian minimization using package 'alabama', or by sequential quadratic programming using solver 'slsqp'. Alternatively, they can be reformulated as optimization problems with second order cone constraints and solved with package 'cccp'.
Author: Robin Wellmann [aut, cre]
Maintainer: Robin Wellmann <ro.wellmann@gmail.com>

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Package messydates updated to version 1.1.0 with previous version 1.0.0 dated 2026-07-16

Title: A Flexible Class for Messy Dates
Description: Contains a set of tools for constructing and coercing into and from the "mdate" class. This date class implements ISO 8601-2:2019(E) and allows regular dates and times to be annotated to express unspecified date or time components, approximate or uncertain components, ranges, and sets of dates. The package therefore retains, represents, and reasons about data and time imprecision, resolving to a single data/time only on demand. This is useful for describing and analysing temporal information, whether historical or recent, where date or time precision may vary.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb] , Jael Tan [ctb] , Nathan Werth [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package geneset updated to version 0.2.8 with previous version 0.2.7 dated 2022-11-20

Title: Get Gene Sets for Gene Enrichment Analysis
Description: Gene sets are fundamental for gene enrichment analysis. The package 'geneset' enables querying gene sets from public databases including 'GO' (Gene Ontology Consortium. (2004) <doi:10.1093/nar/gkh036>), 'KEGG' (Minoru et al. (2000) <doi:10.1093/nar/28.1.27>), 'WikiPathway' (Marvin et al. (2020) <doi:10.1093/nar/gkaa1024>), 'MsigDb' (Arthur et al. (2015) <doi:10.1016/j.cels.2015.12.004>), 'Reactome' (David et al. (2011) <doi:10.1093/nar/gkq1018>), 'MeSH' (Ish et al. (2014) <doi:10.4103/0019-5413.139827>), 'DisGeNET' (Janet et al. (2017) <doi:10.1093/nar/gkw943>), 'Disease Ontology' (Lynn et al. (2011) <doi:10.1093/nar/gkr972>), 'Network of Cancer Genes' (Dimitra et al. (2019) <doi:10.1186/s13059-018-1612-0>) and 'COVID-19' (Maxim et al. (2020) <doi:10.21203/rs.3.rs-28582/v1>). Gene sets are stored in the list object which provides data frame of 'geneset' and 'geneset_name'. The 'geneset' has two columns of term ID and gene ID. [...truncated...]
Author: Yunze Liu [aut, cre]
Maintainer: Yunze Liu <jieandze1314@gmail.com>

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Package gasfluxes updated to version 0.7-2 with previous version 0.7 dated 2024-08-16

Title: Greenhouse Gas Flux Calculation from Chamber Measurements
Description: Functions for greenhouse gas flux calculation from chamber measurements.
Author: Roland Fuss [aut, cre] , Roman Hueppi [ctb]
Maintainer: Roland Fuss <roland.fuss@thuenen.de>

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Package spatstat.explore updated to version 3.8-2 with previous version 3.8-1 dated 2026-05-24

Title: Exploratory Data Analysis for the 'spatstat' Family
Description: Functionality for exploratory data analysis and nonparametric analysis of spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Warick Brown [cph], Achmad Choiruddin [ctb], Ya-Mei Chang [ctb], Jean-Francois Coeurjolly [ctb], Lucia Cobo Sanchez [ctb, cph], Ottma [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package radir updated to version 1.0.5 with previous version 1.0.4 dated 2019-07-03

Title: Inverse-Regression Estimation of Radioactive Doses
Description: Radioactive doses estimation using individual chromosomal aberrations information. See Higueras M, Puig P, Ainsbury E, Rothkamm K. (2015) <doi:10.1088/0952-4746/35/3/557>.
Author: David Morina Soler [aut, cre] , Manuel Higueras [aut], Pedro Puig [aut]
Maintainer: David Morina Soler <david.morina@uab.cat>

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Package ThresholdROC updated to version 2.10.0 with previous version 2.9.6 dated 2026-05-14

Title: Optimum Threshold Estimation
Description: Functions that provide point and interval estimations of optimum thresholds for continuous diagnostic tests. The methodology used is based on minimizing an overall cost function in the two- and three-state settings. We also provide functions for sample size determination and estimation of diagnostic accuracy measures. We also include graphical tools. The statistical methodology used here can be found in Perez-Jaume et al (2017) <doi:10.18637/jss.v082.i04> and in Skaltsa et al (2010, 2012) <doi:10.1002/bimj.200900294>, <doi:10.1002/sim.4369>.
Author: Sara Perez-Jaume [aut, cre] , Natalia Pallares [aut] , Konstantina Skaltsa [aut]
Maintainer: Sara Perez-Jaume <spjaume@gmail.com>

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Package spatstat.random updated to version 3.5-1 with previous version 3.5-0 dated 2026-05-24

Title: Random Generation Functionality for the 'spatstat' Family
Description: Functionality for random generation of spatial data in the 'spatstat' family of packages. Generates random spatial patterns of points according to many simple rules (complete spatial randomness, Poisson, binomial, random grid, systematic, cell), randomised alteration of patterns (thinning, random shift, jittering), simulated realisations of random point processes including simple sequential inhibition, Matern inhibition models, Neyman-Scott cluster processes (using direct, Brix-Kendall, or hybrid algorithms), log-Gaussian Cox processes, product shot noise cluster processes and Gibbs point processes (using Metropolis-Hastings birth-death-shift algorithm, alternating Gibbs sampler, or coupling-from-the-past perfect simulation). Also generates random spatial patterns of line segments, random tessellations, and random images (random noise, random mosaics). Excludes random generation on a linear network, which is covered by the separate package 'spatstat.linnet'.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Tilman Davies [aut, cph] , Kasper Klitgaard Berthelsen [ctb, cph], David Bryant [ctb, cph], Ya-Mei Chang [ctb, cph], Ute Hahn [ctb], Abdollah Jalilian [ctb], Dominic Sc [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package irtQ updated to version 1.2.0 with previous version 1.1.0 dated 2026-06-07

Title: Unidimensional Item Response Theory Modeling
Description: Fit unidimensional item response theory (IRT) models to test data, which includes both dichotomous and polytomous items, calibrate pretest item parameters, estimate examinees' abilities, and examine the IRT model-data fit on item-level in different ways as well as provide useful functions related to IRT analyses such as IRT model-data fit evaluation and differential item functioning analysis. The bring.flexmirt() and write.flexmirt() functions were written by modifying the read.flexmirt() function (Pritikin & Falk (2022) <doi:10.1177/0146621620929431>). The bring.bilog() and bring.parscale() functions were written by modifying the read.bilog() and read.parscale() functions, respectively (Weeks (2010) <doi:10.18637/jss.v035.i12>). The bisection() function was written by modifying the bisection() function (Howard (2017, ISBN:9780367657918)). The code of the inverse test characteristic curve scoring in the est_score() function was written by modifying the irt.eq.tse() func [...truncated...]
Author: Hwanggyu Lim [aut, cre], Craig S. Wells [ctb], James Howard [ctb], Joshua Pritikin [ctb], Jonathan P Weeks [ctb], Jorge Gonzalez [ctb], David Magis [ctb]
Maintainer: Hwanggyu Lim <hglim83@gmail.com>

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Package hermite updated to version 1.2.1 with previous version 1.1.2 dated 2018-05-17

Title: Generalized Hermite Distribution
Description: Probability functions and other utilities for the generalized Hermite distribution.
Author: David Morina Soler [aut, cre], Manuel Higueras [aut], Pedro Puig [aut], Maria Oliveira [aut]
Maintainer: David Morina Soler <david.morina@uab.cat>

Diff between hermite versions 1.1.2 dated 2018-05-17 and 1.2.1 dated 2026-07-27

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Package upstartr updated to version 0.2.0 with previous version 0.1.2 dated 2024-01-09

Title: Utilities Powering the Globe and Mail's Data Journalism Template
Description: Core functions necessary for using The Globe and Mail's R data journalism template, 'startr', along with utilities for day-to-day data journalism tasks, such as reading and writing files, producing graphics and cleaning up datasets.
Author: Tom Cardoso [aut, cre] , Michael Pereira [ctb], The Globe and Mail Inc. [cph]
Maintainer: Tom Cardoso <tcardoso@globeandmail.com>

Diff between upstartr versions 0.1.2 dated 2024-01-09 and 0.2.0 dated 2026-07-27

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Package tutorial.helpers updated to version 0.7.0 with previous version 0.6.1 dated 2025-12-23

Title: Helper Functions for Creating Tutorials
Description: Helper functions for creating, editing, and testing tutorials created with the 'learnr' package. Provides a simple method for allowing students to download their answers to tutorial questions. For examples of its use, see the 'r4ds.tutorials' package.
Author: David Kane [aut, cre, cph]
Maintainer: David Kane <dave.kane@gmail.com>

Diff between tutorial.helpers versions 0.6.1 dated 2025-12-23 and 0.7.0 dated 2026-07-27

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Package tidyactuarial updated to version 0.1.5 with previous version 0.1.4 dated 2026-06-01

Title: Tidy Tools for Actuarial Mathematics and Life Contingencies
Description: Provides tidyverse-aligned tools for actuarial mathematics and life contingencies, including life tables, survival probabilities, actuarial present values of cash flows, life annuities, life insurance, premiums, reserves, multiple-life calculations, Monte Carlo simulation, and deterministic cash-flow diagrams. The package emphasizes clear actuarial notation, reproducible workflows, and pipe-friendly tools for actuarial education and applied actuarial analysis.
Author: Julian Fajardo [aut, cre]
Maintainer: Julian Fajardo <julian.fajardo1908@gmail.com>

Diff between tidyactuarial versions 0.1.4 dated 2026-06-01 and 0.1.5 dated 2026-07-27

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Package PTE updated to version 2.0 with previous version 1.7 dated 2019-01-30

Title: Personalized Treatment Evaluator
Description: We provide inference for personalized medicine models. Namely, we answer the questions: (1) how much better does a purported personalized recommendation engine for treatments do over a business-as-usual approach and (2) is that difference statistically significant?
Author: Adam Kapelner [aut, cre], Alina Levine [aut], Justin Bleich [aut]
Maintainer: Adam Kapelner <kapelner@qc.cuny.edu>

Diff between PTE versions 1.7 dated 2019-01-30 and 2.0 dated 2026-07-27

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More information about PTE at CRAN
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Package mfrmr updated to version 0.2.2 with previous version 0.2.1 dated 2026-06-12

Title: Estimation and Diagnostics for Many-Facet Measurement Models
Description: Native R implementation of many-facet ordered-response measurement models with arbitrary facet counts, rating-scale and partial-credit parameterizations, a bounded generalized partial-credit extension, and both marginal and joint maximum likelihood estimation. The package provides a fit / diagnose / report pipeline covering anchoring, linking, bias and differential-functioning screening, and publication-oriented reporting summaries, with reproducibility manifests for replay. See 'Andrich' (1978) <doi:10.1007/BF02293814>, 'Masters' (1982) <doi:10.1007/BF02296272>, and 'Muraki' (1992) <doi:10.1177/014662169201600206> for the underlying ordered-response models.
Author: Ryuya Komuro [aut, cre, cph]
Maintainer: Ryuya Komuro <ryuya.komuro.c4@tohoku.ac.jp>

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Package geess updated to version 1.0.2 with previous version 1.0.1 dated 2026-04-27

Title: Modified Generalized Estimating Equations for Small-Sample Data
Description: Analyze small-sample clustered or longitudinal data using modified generalized estimating equations with bias-adjusted covariance estimator. The package provides any combination of three modified generalized estimating equations and 11 bias-adjusted covariance estimators.
Author: Ryota Ishii [aut, cre], Kazushi Maruo [ctb], Masahiko Gosho [ctb]
Maintainer: Ryota Ishii <r.ishii0808@gmail.com>

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Package GCCfactor updated to version 1.2.0 with previous version 1.1.6 dated 2026-04-18

Title: GCC Estimation of the Multilevel Factor Model
Description: Provides methods for model selection, estimation, inference, and simulation for the multilevel factor model, based on the principal component estimation and generalised canonical correlation approach. Details can be found in "Generalised Canonical Correlation Estimation of the Multilevel Factor Model." Lin and Shin (2025) <doi:10.2139/ssrn.4295429>.
Author: Rui Lin [aut, cre], Yongcheol Shin [aut]
Maintainer: Rui Lin <ruilin1081@gmail.com>

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Sun, 26 Jul 2026

Package rSCA updated to version 3.2 with previous version 3.1 dated 2020-03-10

Title: An R Package for Stepwise Cluster Analysis
Description: A statistical tool for multivariate modeling and clustering using stepwise cluster analysis. The modeling output of rSCA is constructed as a cluster tree to represent the complicated relationships between multiple dependent and independent variables. A free tool (named rSCA Tree Generator) for visualizing the cluster tree from rSCA is also released and it can be downloaded at <rscatree.weebly.com>.
Author: Xiuquan Wang [aut] , Xiuquan Wang [cre]
Maintainer: Xiuquan (Xander) Wang <xiuquan.wang@gmail.com>

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Package cld3 updated to version 1.6.2 with previous version 1.6.1 dated 2024-10-04

Title: Google's Compact Language Detector 3
Description: Google's Compact Language Detector 3 is a neural network model for language identification and the successor of 'cld2' (available from CRAN). The algorithm is still experimental and takes a novel approach to language detection with different properties and outcomes. It can be useful to combine this with the Bayesian classifier results from 'cld2'. See <https://github.com/google/cld3#readme> for more information.
Author: Jeroen Ooms [aut, cre] , Google Inc [cph]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package thinr updated to version 0.3.0 with previous version 0.2.0 dated 2026-05-27

Title: Binary Image Thinning Algorithms
Description: Thinning (skeletonization) algorithms for binary raster images. Provides seven algorithms behind a single dispatching function: Zhang-Suen (Zhang and Suen 1984) <doi:10.1145/357994.358023>, Guo-Hall (Guo and Hall 1989) <doi:10.1145/62065.62074>, a 2-D adaptation of Lee (Lee, Kashyap, and Chu 1994) <doi:10.1006/cgip.1994.1042>, K3M (Saeed, Tabedzki, Rybnik, and Adamski 2010) <doi:10.2478/v10006-010-0024-4>, the parallel form commonly attributed to Hilditch (1969, in 'Machine Intelligence 4'), OPTA / SPTA (Naccache and Shinghal 1984), and Holt and colleagues (1987) <doi:10.1145/12527.12531>. Also provides the medial axis transform (Blum 1967) and a distance transform implementation following Felzenszwalb and Huttenlocher (2012) <doi:10.4086/toc.2012.v008a019>. The thin() API selects the algorithm by name, defaulting to Zhang-Suen. Complements the morphology in the 'EBImage' package, which does not provide a thinning operator.
Author: Bill Denney [aut, cre]
Maintainer: Bill Denney <wdenney@humanpredictions.com>

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Package RGenData updated to version 1.0.1 with previous version 1.0 dated 2018-11-14

Title: Generates Multivariate Nonnormal Data and Determines How Many Factors to Retain
Description: The GenDataSample() and GenDataPopulation() functions create, respectively, a sample or population of multivariate nonnormal data using methods described in Ruscio and Kaczetow (2008). Both of these functions call a FactorAnalysis() function to reproduce a correlation matrix. The EFACompData() function allows users to determine how many factors to retain in an exploratory factor analysis of an empirical data set using a method described in Ruscio and Roche (2012). The latter function uses populations of comparison data created by calling the GenDataPopulation() function. <DOI: 10.1080/00273170802285693>. <DOI: 10.1037/a0025697>.
Author: John Ruscio [aut, cre]
Maintainer: John Ruscio <ruscio@tcnj.edu>

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Package polykde updated to version 1.2.1 with previous version 1.2.0 dated 2026-07-25

Title: Polyspherical Kernel Density Estimation
Description: Kernel density estimation on the polysphere, (hyper)sphere, and circle. Includes functions for density estimation, regression estimation, ridge estimation, bandwidth selection, kernels, samplers, and homogeneity tests. Companion package to García-Portugués and Meilán-Vila (2025) <doi:10.1080/01621459.2025.2521898> and García-Portugués and Meilán-Vila (2023) <doi:10.1007/978-3-031-32729-2_4>.
Author: Eduardo Garcia-Portugues [aut, cre] , Andrea Meilan-Vila [ctb]
Maintainer: Eduardo Garcia-Portugues <edgarcia@est-econ.uc3m.es>

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Package jamba readmission to version 1.0.5 with previous version 1.0.4 dated 2025-03-23

Title: Just Analysis Methods Base
Description: Just analysis methods ('jam') base functions focused on bioinformatics. Version- and gene-centric alphanumeric sort, unique name and version assignment, colorized console and 'HTML' output, color ramp and palette manipulation, 'Rmarkdown' cache import, styled 'Excel' worksheet import and export, interpolated raster output from smooth scatter and image plots, list to delimited vector, efficient list tools.
Author: James M. Ward [aut, cre, cph]
Maintainer: James M. Ward <jmw86069@gmail.com>

This is a re-admission after prior archival of version 1.0.4 dated 2025-03-23

Diff between jamba versions 1.0.4 dated 2025-03-23 and 1.0.5 dated 2026-07-26

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More information about jamba at CRAN
Permanent link

Package dsROCrate updated to version 0.2.0 with previous version 0.1.0 dated 2026-06-01

Title: 'DataSHIELD' RO-Crate Governance Functions
Description: Tools for wrapping 'DataSHIELD' analyses into RO-Crate (Research Object Crate) objects. Provides functions to create structured metadata for federated data analysis projects, enabling governance tracking of data access, project membership, analysis execution and output validation across distributed data sources.
Author: Roberto Villegas-Diaz [aut, cre] , Becca Wilson [aut] , Olly Butters [aut] , Stuart Wheater [aut] , University of Liverpool [cph]
Maintainer: Roberto Villegas-Diaz <r.villegas-diaz@outlook.com>

Diff between dsROCrate versions 0.1.0 dated 2026-06-01 and 0.2.0 dated 2026-07-26

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More information about dsROCrate at CRAN
Permanent link

Package RWeka updated to version 0.4-50 with previous version 0.4-49 dated 2026-07-13

Title: R/Weka Interface
Description: An R interface to Weka (Version 3.9.3). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data pre-processing, classification, regression, clustering, association rules, and visualization. Package 'RWeka' contains the interface code, the Weka jar is in a separate package 'RWekajars'. For more information on Weka see <https://www.cs.waikato.ac.nz/ml/weka/>.
Author: Kurt Hornik [aut, cre] , Christian Buchta [ctb], Torsten Hothorn [ctb], Alexandros Karatzoglou [ctb], David Meyer [ctb], Achim Zeileis [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between RWeka versions 0.4-49 dated 2026-07-13 and 0.4-50 dated 2026-07-26

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More information about RWeka at CRAN
Permanent link

Package multcompView updated to version 0.1-12 with previous version 0.1-11 dated 2026-02-16

Title: Visualizations of Paired Comparisons
Description: Convert a logical vector or a vector of p-values or a correlation, difference, or distance matrix into a display identifying the pairs for which the differences were not significantly different. Designed for use in conjunction with the output of functions like TukeyHSD, dist (stats), simint, simtest, csimint, csimtest (multcomp), friedmanmc, kruskalmc (pgirmess).
Author: Spencer Graves [aut], Hans-Peter Piepho [aut], Luciano Selzer [aut, cre], Sundar Dorai-Raj [ctb]
Maintainer: Luciano Selzer <luciano.selzer@gmail.com>

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Permanent link

Package xpose.xtras updated to version 0.2.0 with previous version 0.1.4 dated 2026-04-21

Title: Extra Functionality for the 'xpose' Package
Description: Adding some at-present missing functionality, or functions unlikely to be added to the base 'xpose' package. This includes some diagnostic plots that have been missing in translation from 'xpose4', but also some useful features that truly extend the capabilities of what can be done with 'xpose'. These extensions include the concept of a set of 'xpose' objects, and diagnostics for likelihood-based models.
Author: John Prybylski [aut, cre, cph]
Maintainer: John Prybylski <jprybylski@gmail.com>

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Package washr updated to version 1.0.2 with previous version 1.0.1 dated 2024-11-07

Title: Publication Toolkit for Water, Sanitation and Hygiene (WASH) Data
Description: A toolkit to set up an R data package in a consistent structure. Automates tasks like tidy data export, data dictionary documentation, README and website creation, and citation management.
Author: Mian Zhong [aut] , Margaux Goetschmann [aut] , Colin Walder [aut] , Lars Schoebitz [aut, cre] , Global Health Engineering, ETH Zurich [cph]
Maintainer: Lars Schoebitz <lschoebitz@ethz.ch>

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Package huge updated to version 2.0.0 with previous version 1.6 dated 2026-04-13

Title: High-Dimensional Undirected Graph Estimation
Description: Provides a general framework for high-dimensional undirected graph estimation. It integrates data preprocessing, neighborhood screening, graph estimation, and model selection techniques into a pipeline. In preprocessing stage, the nonparanormal(npn) transformation is applied to help relax the normality assumption. In the graph estimation stage, the graph structure is estimated by Meinshausen-Buhlmann graph estimation, the graphical lasso, or the TIGER (tuning-insensitive graph estimation and regression) method, and the first two can be further accelerated by the lossy screening rule preselecting the neighborhood of each variable by correlation thresholding. We target on high-dimensional data analysis usually d >> n, and the computation is memory-optimized using the sparse matrix output. We also provide a computationally efficient approach, correlation thresholding graph estimation. Three regularization/thresholding parameter selection methods are included in this package: (1)stab [...truncated...]
Author: Haoming Jiang [aut], Xinyu Fei [aut], Han Liu [aut], Kathryn Roeder [aut], John Lafferty [aut], Larry Wasserman [aut], Xingguo Li [aut], Tuo Zhao [aut, cre]
Maintainer: Tuo Zhao <tourzhao@gatech.edu>

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Package DrugExposureDiagnostics updated to version 1.1.10 with previous version 1.1.9 dated 2026-06-30

Title: Diagnostics for OMOP Common Data Model Drug Records
Description: Ingredient specific diagnostics for drug exposure records in the Observational Medical Outcomes Partnership (OMOP) common data model.
Author: Ger Inberg [aut, cre] , Edward Burn [aut] , Theresa Burkard [aut] , Yuchen Guo [ctb] , Marti Catala [ctb] , Mike Du [ctb] , Xintong Li [ctb] , Ross Williams [ctb] , Erasmus MC [cph]
Maintainer: Ger Inberg <g.inberg@erasmusmc.nl>

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Package Ckmeans.1d.dp updated to version 4.3.6 with previous version 4.3.5 dated 2023-08-19

Title: Optimal, Fast, and Reproducible Univariate Clustering
Description: Fast, optimal, and reproducible univariate clustering by dynamic programming. Four problems are solved, including univariate k-means (Wang & Song 2011) <doi:10.32614/RJ-2011-015> (Song & Zhong 2020) <doi:10.1093/bioinformatics/btaa613>, k-median, k-segments, and multi-channel weighted k-means. Dynamic programming is used to minimize the sum of (weighted) within-cluster distances using respective metrics. It substantially outperforms heuristic clustering in both efficiency and accuracy as the number of clusters increases. Multi-channel weighted k-means groups multiple univariate signals into k clusters. An auxiliary function generates histograms adaptive to patterns in data. This package provides a powerful set of tools for univariate data analysis with guaranteed optimality, efficiency, and reproducibility, useful for peak calling on temporal, spatial, and spectral data in addition to univariate clustering.
Author: Joe Song [aut, cre] , Hua Zhong [aut] , Haizhou Wang [aut]
Maintainer: Joe Song <joemsong@nmsu.edu>

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Package mlr3mbo updated to version 1.2.1 with previous version 1.2.0 dated 2026-07-21

Title: Flexible Bayesian Optimization
Description: A modern and flexible approach to Bayesian Optimization / Model Based Optimization building on the 'bbotk' package. 'mlr3mbo' is a toolbox providing both ready-to-use optimization algorithms as well as their fundamental building blocks allowing for straightforward implementation of custom algorithms. Single- and multi-objective optimization is supported as well as mixed continuous, categorical and conditional search spaces. Moreover, using 'mlr3mbo' for hyperparameter optimization of machine learning models within the 'mlr3' ecosystem is straightforward via 'mlr3tuning'. Examples of ready-to-use optimization algorithms include Efficient Global Optimization by Jones et al. (1998) <doi:10.1023/A:1008306431147>, ParEGO by Knowles (2006) <doi:10.1109/TEVC.2005.851274> and SMS-EGO by Ponweiser et al. (2008) <doi:10.1007/978-3-540-87700-4_78>.
Author: Marc Becker [cre, aut] , Lennart Schneider [aut] , Jakob Richter [aut] , Michel Lang [aut] , Bernd Bischl [aut] , Florian Pfisterer [aut] , Martin Binder [aut], Sebastian Fischer [aut] , Michael H. Buselli [cph], Wessel Dankers [cph], Carlos Fonseca [...truncated...]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package gips updated to version 1.3.0 with previous version 1.2.3 dated 2025-03-18

Title: Gaussian Model Invariant by Permutation Symmetry
Description: Find the permutation symmetry group such that the covariance matrix of the given data is approximately invariant under it. Discovering such a permutation decreases the number of observations needed to fit a Gaussian model, which is of great use when it is smaller than the number of variables. Even if that is not the case, the covariance matrix found with 'gips' approximates the actual covariance with less statistical error. The methods implemented in this package are described in Graczyk et al. (2022) <doi:10.1214/22-AOS2174>. Documentation about 'gips' is provided via its website at <https://przechoj.github.io/gips/> and the paper by Chojecki, Morgen, Kołodziejek (2025, <doi:10.18637/jss.v112.i07>).
Author: Adam Przemyslaw Chojecki [aut, cre] , Pawel Morgen [aut], Bartosz Kolodziejek [aut]
Maintainer: Adam Przemyslaw Chojecki <adam.prze.choj@gmail.com>

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Package dtametaTMB updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-16

Title: Diagnostic Test Accuracy Meta-Analysis using Template Model Builder
Description: Fits the hierarchical summary receiver operating characteristic (HSROC) model of Rutter and Gatsonis (2001) <doi:10.1002/sim.942>, the bivariate binomial-normal model of Reitsma et al. (2005) <doi:10.1016/j.jclinepi.2005.02.022>, the threshold-based bivariate time-to-event model of Hoyer et al. (2018) <doi:10.1002/jrsm.1273>, and the latent class extensions of Liu et al. (2015) <doi:10.1111/biom.12264> for diagnostic studies without a perfect reference standard. Provides subgroup analyses, HSROC meta-regression, likelihood-ratio tests, summary ROC plots, and coupled forest plots.
Author: Claus Nowak [aut, cre]
Maintainer: Claus Nowak <claus.nowak@donau-uni.ac.at>

Diff between dtametaTMB versions 0.1.0 dated 2026-07-16 and 0.1.1 dated 2026-07-26

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Package DemogAnr updated to version 0.2.0 with previous version 0.1.0 dated 2026-07-23

Title: Demographic Analysis
Description: Tool for demographic modeling and analysis, combining stochastic simulation-based projections with classic demographic methods. Provides utilities for disaggregating population data using Karup-King interpolation, fitting Brass relational logit models, calculating fertility and mortality metrics, building complete and abridged life tables with model-based separation factors, estimating child mortality indirectly from children ever born and surviving (Brass-Trussell method), decomposing and standardizing rates, and performing hierarchical subnational population projections. Relational life table estimation and interpolation methods are described in Brass (1975) "Methods for Estimating Fertility and Mortality from Limited and Defective Data", Preston et al. (2001, ISBN:978-0631226161) "Demography: Measuring and Modeling Population Processes", Siegel and Swanson (2004, ISBN:978-0126419559) "The Methods and Materials of Demography", and Raftery et al. (2012) "Bayesian probabilistic populat [...truncated...]
Author: Edward Owusu Manu [aut, cre]
Maintainer: Edward Owusu Manu <edward.manu@statsghana.gov.gh>

Diff between DemogAnr versions 0.1.0 dated 2026-07-23 and 0.2.0 dated 2026-07-26

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Package glmbayes updated to version 0.9.72 with previous version 0.9.7 dated 2026-07-19

Title: Bayesian Generalized Linear Models (IID Samples)
Description: Provides Bayesian linear and generalized linear model fitting with independent and identically distributed (iid) posterior samples. The main functions mirror R's lm() and glm() interfaces while adding prior family specifications for Gaussian, Poisson, binomial, and Gamma models with log-concave likelihoods. Sampling for supported non-conjugate models uses accept-reject methods based on likelihood subgradients as in Nygren and Nygren (2006) <doi:10.1198/016214506000000357>. The package also includes tools for prior setup, posterior summaries, prediction, diagnostics, simulation, vignettes, and optional 'OpenCL' acceleration for larger models.
Author: Kjell Nygren [aut, cre], The R Core Team [ctb, cph] , The R Foundation [cph] , Ross Ihaka [ctb, cph] , Robert Gentleman [ctb, cph] , Simon Davies [ctb] , Morten Welinder [ctb, cph] , Martin Maechler [ctb]
Maintainer: Kjell Nygren <kjell.a.nygren@gmail.com>

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Package nprcgenekeepr readmission to version 2.0.0 with previous version 1.0.8 dated 2025-07-25

Title: Genetic Tools for Colony Management
Description: Provides genetic tools for colony management and is a derivation of the work in Amanda Vinson and Michael J Raboin (2015) <https://pmc.ncbi.nlm.nih.gov/articles/PMC4671785/> "A Practical Approach for Designing Breeding Groups to Maximize Genetic Diversity in a Large Colony of Captive Rhesus Macaques ('Macaca' 'mulatta')". It provides a 'Shiny' application with an exposed API. The application supports five groups of functions: (1) Quality control of studbooks contained in text files or 'Excel' workbooks and of pedigrees within 'LabKey' Electronic Health Records (EHR); (2) Creation of pedigrees from a list of animals using the 'LabKey' EHR integration; (3) Creation and display of an age by sex pyramid plot of the living animals within the designated pedigree; (4) Generation of genetic value analysis reports; and (5) Creation of potential breeding groups with and without proscribed sex ratios and defined maximum kinships.
Author: Michael Raboin [aut], Terry Therneau [aut], Amanda Vinson [aut, dtc], R. Mark Sharp [aut, cre, cph, dtc] , Matthew Schultz [aut] , Southwest National Primate Research Center NIH grant P51 RR13986 [fnd], Oregon National Primate Research Center grant P [...truncated...]
Maintainer: R. Mark Sharp <rmsharp@me.com>

This is a re-admission after prior archival of version 1.0.8 dated 2025-07-25

Diff between nprcgenekeepr versions 1.0.8 dated 2025-07-25 and 2.0.0 dated 2026-07-26

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 nprcgenekeepr-2.0.0/nprcgenekeepr/R/getMaxAx.R                                                 |   13 
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New package MAARTS with initial version 1.0.0
Package: MAARTS
Title: Merger and Acquisition Autoregressive Time-Series Models
Version: 1.0.0
Description: Implements comprehensive Merger and Acquisition ('M&A') Autoregressive ('AR') time-series models with full statistical analysis capabilities. The package provides parameter estimation, forecasting with confidence intervals (80%, 90%, 95%, 99%), descriptive statistics, stationarity tests (Augmented Dickey-Fuller ('ADF'), Phillips-Perron, Kwiatkowski-Phillips-Schmidt-Shin ('KPSS'), Dickey-Fuller Generalized Least Squares ('DF-GLS')), autocorrelation analysis (Autocorrelation Function ('ACF'), Partial Autocorrelation Function ('PACF')), model diagnostics (Ljung-Box, Box-Pierce), accuracy measures (Mean Squared Error ('MSE'), Mean Absolute Error ('MAE'), Mean Absolute Scaled Error ('MASE'), Root Mean Squared Error ('RMSE'), Symmetric Mean Absolute Percentage Error ('SMAPE'), F-statistic), residual diagnostics (normality tests, heteroscedasticity tests), model stability analysis, impulse response, information criteria (Akaike Information Criterion ('AIC'), Bayesian Information Criterion [...truncated...]
License: GPL-3
Depends: R (>= 4.0.0)
Imports: forecast, tseries, urca, stats, graphics, grDevices, utils, lmtest, sandwich, nortest, moments, strucchange, ggplot2, gridExtra, MASS, numDeriv
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
Language: en-US
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-17 15:09:00 UTC; 30017827
Author: Shikhar Tyagi [aut, cre] , Mohd Mudassir [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-26 11:00:02 UTC

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New package boostPM with initial version 0.1.0
Package: boostPM
Title: Unsupervised Tree Boosting for Learning Probability Distributions
Version: 0.1.0
Description: Implements the unsupervised tree boosting method for learning probability distributions introduced by Awaya and Ma (2024). Provides model fitting, density evaluation, simulation, and diagnostic methods.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/nawaya040/boostPM-cran
BugReports: https://github.com/nawaya040/boostPM-cran/issues
Imports: graphics, Rcpp (>= 1.0.7), stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), knitr (>= 1.43), rmarkdown (>= 2.20)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-17 11:27:46 UTC; naway
Author: Naoki Awaya [aut, cre]
Maintainer: Naoki Awaya <nawaya@waseda.jp>
Repository: CRAN
Date/Publication: 2026-07-26 10:30:02 UTC

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Package wnl updated to version 0.8.6 with previous version 0.8.5 dated 2026-03-07

Title: Minimization Tool for Pharmacokinetic-Pharmacodynamic Data Analysis
Description: This is a set of minimization tools (maximum likelihood estimation and least square fitting) to solve examples in the Johan Gabrielsson and Dan Weiner's book "Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications" 5th ed. (ISBN:9198299107). Examples include linear and nonlinear compartmental model, turn-over model, single or multiple dosing bolus/infusion/oral models, allometry, toxicokinetics, reversible metabolism, in-vitro/in-vivo extrapolation, enterohepatic circulation, metabolite modeling, Emax model, inhibitory model, tolerance model, oscillating response model, enantiomer interaction model, effect compartment model, drug-drug interaction model, receptor occupancy model, and rebound phenomena model.
Author: Kyun-Seop Bae [aut, cre, cph]
Maintainer: Kyun-Seop Bae <k@acr.kr>

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Package pwranova updated to version 1.1.5 with previous version 1.0.3 dated 2026-01-19

Title: Power Analysis of Flexible ANOVA Designs and Related Tests
Description: Provides functions for conducting power analysis in ANOVA designs, including between-, within-, and mixed-factor designs, with full support for both main effects and interactions. The package allows calculation of statistical power, required total sample size, significance level, and minimal detectable effect sizes expressed as partial eta squared or Cohen's f for ANOVA terms and planned contrasts. In addition, complementary functions are included for common related tests such as t-tests and correlation tests, making the package a convenient toolkit for power analysis in experimental psychology and related fields.
Author: Hiroyuki Muto [aut, cre]
Maintainer: Hiroyuki Muto <mutopsy@omu.ac.jp>

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Package lingtypology updated to version 1.1.26 with previous version 1.1.25 dated 2026-03-02

Title: Linguistic Typology and Mapping
Description: Provides R with the Glottolog database <https://glottolog.org/> and some more abilities for purposes of linguistic mapping. The Glottolog database contains the catalogue of languages of the world. This package helps researchers to make a linguistic maps, using philosophy of the Cross-Linguistic Linked Data project <https://clld.org/>, which allows for while at the same time facilitating uniform access to the data across publications. A tutorial for this package is available on GitHub pages <https://docs.ropensci.org/lingtypology/> and package vignette. Maps created by this package can be used both for the investigation and linguistic teaching. In addition, package provides an ability to download data from typological databases such as WALS, AUTOTYP and some others and to create your own database website.
Author: George Moroz [aut, cre] , Kirill Koncha [ctb] , Mikhail Leonov [ctb], Anna Smirnova [ctb], Ekaterina Zalivina [ctb]
Maintainer: George Moroz <agricolamz@gmail.com>

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Package fanc updated to version 2.4.0 with previous version 2.3.13 dated 2026-06-04

Title: Penalized Likelihood Factor Analysis via Nonconvex Penalty
Description: Computes the penalized maximum likelihood estimates of factor loadings and unique variances for various tuning parameters. The pathwise coordinate descent along with EM algorithm is used. This package also includes a graphical tool which outputs path diagrams, heatmaps, goodness-of-fit indices and model selection criteria for each regularization parameter (Yamamoto, M., Hirose, K. and Nagata, H., 2017 <doi:10.1007/s41237-016-0007-3>). The user can change the regularization parameter interactively with a built-in self-contained HTML viewer (no additional packages required), which is helpful to find a suitable value of regularization parameter. As a penalty, we can choose either the minimax concave penalty (Hirose, K. and Yamamoto, M., 2015 <doi:10.1007/s11222-014-9458-0>; Hirose, K. and Yamamoto, M., 2014 <doi:10.1016/j.csda.2014.05.011>) or the product-based elastic net penalty (Hirose, K. and Terada, Y., 2023 <doi:10.1007/s11336-022-09868-4>).
Author: Kei Hirose [aut, cre] , Michio Yamamoto [aut], Haruhisa Nagata [aut]
Maintainer: Kei Hirose <mail@keihirose.com>

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

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

2019-01-10 1.3.2
2014-08-21 1.3.1
2014-01-15 1.3.0
2013-10-30 1.2.1
2013-10-14 1.2
2013-09-26 1.1

Permanent link
Package jamba (with last version 1.0.4) was removed from CRAN

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

2025-03-23 1.0.4
2025-03-10 1.0.2

Permanent link
Package xwf updated to version 0.2-4 with previous version 0.2-3 dated 2020-02-20

Title: Extrema-Weighted Feature Extraction
Description: Extrema-weighted feature extraction for varying length functional data. Functional data analysis method that performs dimensionality reduction based on predefined features and allows for quantile weighting. Method implemented as presented in van den Boom et al. (2018) <doi:10.1093/bioinformatics/bty120>.
Author: Willem van den Boom [aut, cre]
Maintainer: Willem van den Boom <willem@wvdboom.nl>

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Package minioclient updated to version 0.0.7 with previous version 0.0.6 dated 2023-11-07

Title: Interface to the 'MinIO' Client
Description: An R interface to the 'MinIO' Client. The 'MinIO' Client ('mc') provides a modern alternative to UNIX commands like 'ls', 'cat', 'cp', 'mirror', 'diff', 'find' etc. It supports 'filesystems' and Amazon "S3" compatible cloud storage service ("AWS" Signature v2 and v4). This package provides convenience functions for installing the 'MinIO' client and running any operations, as described in the official documentation, <https://docs.min.io/aistor/reference/cli/>. This package provides a flexible and high-performance alternative to 'aws.s3'.
Author: Carl Boettiger [aut, cre] , Markus Skyttner [ctb]
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Sat, 25 Jul 2026

Package dispRity updated to version 1.9.12 with previous version 1.9 dated 2024-11-13

Title: Measuring Disparity
Description: A modular package for measuring disparity (multidimensional space occupancy). Disparity can be calculated from any matrix defining a multidimensional space. The package provides a set of implemented metrics to measure properties of the space and allows users to provide and test their own metrics. The package also provides functions for looking at disparity in a serial way (e.g. disparity through time) or per groups as well as visualising the results. Finally, this package provides several statistical tests for disparity analysis.
Author: Thomas Guillerme [aut, cre, cph] , Jack Hatfield [aut, cph], Mark Puttick [aut, cph], Caleb Scutt [aut, cph]
Maintainer: Thomas Guillerme <guillert@tcd.ie>

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Package usmapdata updated to version 1.1.0 with previous version 1.0.0 dated 2025-08-22

Title: Mapping Data for 'usmap' Package
Description: Provides a container for data used by the 'usmap' package. The data used by 'usmap' has been extracted into this package so that the file size of the 'usmap' package can be reduced greatly. The data in this package will be updated roughly once per year as new map data files are provided by the US Census Bureau.
Author: Paolo Di Lorenzo [aut, cre]
Maintainer: Paolo Di Lorenzo <paolo@dilorenzo.org>

Diff between usmapdata versions 1.0.0 dated 2025-08-22 and 1.1.0 dated 2026-07-25

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Package rotasym updated to version 1.3.1 with previous version 1.2.0 dated 2025-07-27

Title: Tests for Rotational Symmetry on the Hypersphere
Description: Implementation of the tests for rotational symmetry on the hypersphere proposed in García-Portugués, Paindaveine and Verdebout (2020) <doi:10.1080/01621459.2019.1665527>. The package also implements the proposed distributions on the hypersphere, based on the tangent-normal decomposition, and allows for the replication of the data application considered in the paper.
Author: Eduardo Garcia-Portugues [aut, cre] , Davy Paindaveine [aut], Thomas Verdebout [aut]
Maintainer: Eduardo Garcia-Portugues <edgarcia@est-econ.uc3m.es>

Diff between rotasym versions 1.2.0 dated 2025-07-27 and 1.3.1 dated 2026-07-25

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Package quartose updated to version 0.2.0 with previous version 0.1.0 dated 2025-07-09

Title: Dynamically Generate 'Quarto' Syntax
Description: Provides helper functions to work programmatically within a 'Quarto' document. It allows the user to create section headers, tabsets, divs, and spans, and formats these objects into 'Quarto' syntax when printed into a document.
Author: Danielle Navarro [aut, cre, cph]
Maintainer: Danielle Navarro <djnavarro@protonmail.com>

Diff between quartose versions 0.1.0 dated 2025-07-09 and 0.2.0 dated 2026-07-25

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More information about quartose at CRAN
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Package mlr3viz updated to version 0.11.1 with previous version 0.11.0 dated 2026-02-22

Title: Visualizations for 'mlr3'
Description: Visualization package of the 'mlr3' ecosystem. It features plots for mlr3 objects such as tasks, learners, predictions, benchmark results, tuning instances and filters via the 'autoplot()' generic of 'ggplot2'. The package draws plots with the 'viridis' color palette and applies the minimal theme. Visualizations include barplots, boxplots, histograms, ROC curves, and Precision-Recall curves.
Author: Michel Lang [aut] , Patrick Schratz [aut] , Raphael Sonabend [aut] , Marc Becker [cre, aut] , Jakob Richter [aut] , Damir Pulatov [ctb], John Zobolas [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3viz versions 0.11.0 dated 2026-02-22 and 0.11.1 dated 2026-07-25

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More information about mlr3viz at CRAN
Permanent link

Package mlr3tuning updated to version 1.6.1 with previous version 1.6.0 dated 2026-03-16

Title: Hyperparameter Optimization for 'mlr3'
Description: Hyperparameter optimization package of the 'mlr3' ecosystem. It features highly configurable search spaces via the 'paradox' package and finds optimal hyperparameter configurations for any 'mlr3' learner. 'mlr3tuning' works with several optimization algorithms e.g. Random Search, Iterated Racing, Bayesian Optimization (in 'mlr3mbo') and Hyperband (in 'mlr3hyperband'). Moreover, it can automatically optimize learners and estimate the performance of optimized models with nested resampling.
Author: Marc Becker [cre, aut] , Michel Lang [aut] , Jakob Richter [aut] , Bernd Bischl [aut] , Daniel Schalk [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3tuning versions 1.6.0 dated 2026-03-16 and 1.6.1 dated 2026-07-25

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Package dqcheckr updated to version 0.3.0 with previous version 0.2.5 dated 2026-07-18

Title: Automated Data Quality Checks for Recurring Dataset Deliveries
Description: Automates quality verification of recurring external dataset deliveries. For each new file arrival, it runs single-snapshot quality checks, compares the file to the previous delivery, writes a self-contained 'HTML' report, and records summary statistics in a local 'SQLite' database for long-term trend tracking. Supports 'CSV' and fixed-width formats. Custom organisation-specific checks can be supplied as plain R files.
Author: Mick Mioduszewski [aut, cre]
Maintainer: Mick Mioduszewski <mick@mioduszewski.net>

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Package Rtinycc updated to version 0.1.15 with previous version 0.1.12 dated 2026-07-19

Title: Builds the 'TinyCC' Command-Line Interface and Library for 'C' Scripting in 'R'
Description: Builds the 'TinyCC' (Tiny 'C' Compiler) command-line interface and library for package use in 'R'. The package compiles 'TinyCC' from source and provides R functions to interact with the compiler. 'TinyCC' can be used for header preprocessing, just-in-time compilation of 'C' code in 'R', and lightweight 'C' scripting workflows.
Author: Sounkou Mahamane Toure [aut, cre], Mike Cheng [cph] , Adam Dunkels [ctb] , Swedish Institute of Computer Science [cph] , Fabrice Bellard and TinyCC authors [cph]
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>

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Package rstantools updated to version 2.7.0 with previous version 2.6.0 dated 2026-01-10

Title: Tools for Developing R Packages Interfacing with 'Stan'
Description: Provides various tools for developers of R packages interfacing with 'Stan' <https://mc-stan.org>, including functions to set up the required package structure, S3 generics and default methods to unify function naming across 'Stan'-based R packages, and vignettes with recommendations for developers.
Author: Jonah Gabry [aut], Ben Goodrich [aut], Martin Lysy [aut], Andrew Johnson [aut, cre], Hamada S. Badr [ctb], Marco Colombo [ctb], Stefan Siegert [ctb], Visruth Srimath Kandali [ctb], Trustees of Columbia University [cph]
Maintainer: Andrew Johnson <andrew.johnson@arjohnsonau.com>

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Package ghclass updated to version 0.4.1 with previous version 0.4.0 dated 2026-05-07

Title: Tools for Managing Classes on GitHub
Description: Interface for the GitHub API that enables efficient management of courses on GitHub. It has a functionality for managing organizations, teams, repositories, and users on GitHub and helps automate most of the tedious and repetitive tasks around creating and distributing assignments.
Author: Colin Rundel [aut, cre], Mine Cetinkaya-Rundel [aut], Therese Anders [ctb]
Maintainer: Colin Rundel <rundel@gmail.com>

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Package RcppParallel updated to version 6.1.0 with previous version 6.0.0 dated 2026-07-23

Title: Parallel Programming Tools for 'Rcpp'
Description: High level functions for parallel programming with 'Rcpp'. For example, the 'parallelFor()' function can be used to convert the work of a standard serial "for" loop into a parallel one and the 'parallelReduce()' function can be used for accumulating aggregate or other values.
Author: Kevin Ushey [aut, cre] , JJ Allaire [aut], Romain Francois [aut, cph], Gregory Vandenbrouck [aut], Marcus Geelnard [aut, cph] , Hamada S. Badr [ctb] , Dirk Eddelbuettel [aut] , Intel [aut, cph] , UXL Foundation [aut, cph] , Microsoft [cph], Posit, PB [...truncated...]
Maintainer: Kevin Ushey <kevin@rstudio.com>

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Package GLmom updated to version 2.0.1 with previous version 2.0.0 dated 2026-07-05

Title: Generalized L-Moments Estimation for Extreme Value Distributions
Description: Provides generalized L-moments estimation methods for the generalized extreme value ('GEV') distribution. Implements both stationary 'GEV' and non-stationary 'GEV11' models where location and scale parameters vary with time. Includes various penalty functions (Martins-Stedinger, Park, Cannon, Coles-Dixon) for shape parameter regularization. Also provides model averaging estimation ('ma.gev') that combines MLE and L-moment methods with multiple weighting schemes for robust high quantile estimation. The 'GLME' methodology is described in Shin et al. (2025a) <doi:10.48550/arXiv.2512.20385>. The non-stationary L-moment method is based on Shin et al. (2025b) <doi:10.1007/s42952-025-00325-3>. The model averaging method is described in Shin et al. (2026) <doi:10.1007/s00477-025-03167-x>. See also Hosking (1990) <doi:10.1111/j.2517-6161.1990.tb01775.x> for L-moments theory and Martins and Stedinger (2000) <doi:10.1029/1999WR900330> for penalized likelihood methods [...truncated...]
Author: Yonggwan Shin [aut, cre] , Seokkap Ko [aut, ctb] , Jihong Park [ctb] , Yire Shin [aut, dtc] , Jeong-Soo Park [aut, ths]
Maintainer: Yonggwan Shin <syg.stat@etri.re.kr>

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Package eigencore updated to version 1.0.2 with previous version 1.0.1 dated 2026-07-24

Title: Certified Partial Eigenvalue and Singular Value Computation
Description: Computes the top-k singular triplets or eigenpairs of large sparse and structured matrices: the computation behind principal component analysis on big sparse data, spectral embeddings, and low-rank approximation. Every result carries a numerical certificate with residuals, a backward-error bound, orthogonality loss, and a pass/fail flag, and bounds that can only be estimated are reported as such rather than passed. Centered, scaled, and composed operators are solved through native 'C++' kernels without forming dense matrices. Drop-in replacements for the 'RSpectra' interface are included.
Author: Bradley Buchsbaum [aut, cre, cph]
Maintainer: Bradley Buchsbaum <brad.buchsbaum@gmail.com>

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Package ctreeMI updated to version 0.3.0 with previous version 0.2.0 dated 2026-07-23

Title: Conditional Inference Trees with Stacked Multiple Imputation
Description: Implements the stacked-imputation workflow for conditional inference trees ('ctree') described in Sherlock et al. (2026) <doi:10.1080/00273171.2026.2661244>. When data contain missing values, multiply imputed datasets (e.g., from 'mice') are stacked vertically and a single 'ctree' is fit on the combined data. To correct for the artificially inflated sample size introduced by stacking, each node-level test statistic is divided by the number of imputations M and its p-value recomputed before nodes are pruned (the Stack/M correction), producing a conservative but interpretable single tree that incorporates imputation uncertainty without requiring pooling of structurally different trees. Also exports stack_imputations(), rescale_statistic() and prune_stackM() as standalone utilities. The underlying 'ctree' algorithm is provided by 'partykit' (Hothorn & Zeileis, 2015; Hothorn, Hornik & Zeileis, 2006 <doi:10.1198/106186006X133933>).
Author: Phillip Sherlock [aut, cre]
Maintainer: Phillip Sherlock <phillip.sherlock@ufl.edu>

Diff between ctreeMI versions 0.2.0 dated 2026-07-23 and 0.3.0 dated 2026-07-25

 DESCRIPTION                             |   19 ++--
 MD5                                     |   20 ++---
 NEWS.md                                 |   48 ++++++++++++
 R/ctree_stacked.R                       |  125 ++++++++++++++++++++++----------
 R/methods.R                             |   18 +++-
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 R/utils.R                               |   54 ++++++++++---
 build/partial.rdb                       |binary
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 12 files changed, 235 insertions(+), 87 deletions(-)

More information about ctreeMI at CRAN
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Package picasso updated to version 2.0.1 with previous version 1.5 dated 2026-03-12

Title: Sparse Learning with Convex and Concave Penalties
Description: Fast regularization paths for sparse Gaussian, binomial, Poisson, square-root-lasso, and multinomial models with lasso, smoothly clipped absolute deviation, or minimax concave penalties. Computation uses pathwise coordinate optimization, active-set updates, warm starts, screening rules, Proximal Newton iterations, quadratic majorization, and adaptive local linear approximation where appropriate. Core solvers are implemented in C++, and coefficient paths are returned as Matrix-compatible objects.
Author: Jason Ge [aut], Xingguo Li [aut], Haoming Jiang [aut], Mengdi Wang [aut], Tong Zhang [aut], Han Liu [aut], Tuo Zhao [aut, cre], Gael Guennebaud [ctb] , Benoit Jacob [ctb] , Eigen Library Authors [cph]
Maintainer: Tuo Zhao <tourzhao@gatech.edu>

Diff between picasso versions 1.5 dated 2026-03-12 and 2.0.1 dated 2026-07-25

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 picasso-2.0.1/picasso/DESCRIPTION                                                                        |   28 
 picasso-2.0.1/picasso/MD5                                                                                |  637 -
 picasso-2.0.1/picasso/NAMESPACE                                                                          |   31 
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 picasso-2.0.1/picasso/R/sqrtlasso_solver.R                                                               |   24 
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 picasso-2.0.1/picasso/inst/COPYRIGHTS                                                                    |    1 
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 picasso-2.0.1/picasso/man/predict.sqrtlasso.Rd                                                           |   35 
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 picasso-2.0.1/picasso/src/include/eigen3/Eigen/Core                                                      |  381 
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 picasso-2.0.1/picasso/src/include/eigen3/Eigen/QR                                                        |    5 
 picasso-2.0.1/picasso/src/include/eigen3/Eigen/QtAlignedMalloc                                           |    1 
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 picasso-2.0.1/picasso/src/include/eigen3/Eigen/SparseLU                                                  |    4 
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Package couplr updated to version 1.5.3 with previous version 1.5.0 dated 2026-07-19

Title: Optimal Pairing and Matching via Linear Assignment
Description: Solves optimal pairing and matching problems using linear assignment algorithms. Provides implementations of the Hungarian method (Kuhn 1955) <doi:10.1002/nav.3800020109>, Jonker-Volgenant shortest path algorithm (Jonker and Volgenant 1987) <doi:10.1007/BF02278710>, Auction algorithm (Bertsekas 1988) <doi:10.1007/BF02186476>, cost-scaling (Goldberg and Kennedy 1995) <doi:10.1007/BF01585996>, scaling algorithms (Gabow and Tarjan 1989) <doi:10.1137/0218069>, push-relabel (Goldberg and Tarjan 1988) <doi:10.1145/48014.61051>, and Sinkhorn entropy-regularized transport (Cuturi 2013) <doi:10.48550/arxiv.1306.0895>. Designed for matching plots, sites, samples, or any pairwise optimization problem. Supports rectangular matrices, forbidden assignments, data frame inputs, batch solving, k-best solutions, and pixel-level image morphing for visualization. Includes automatic preprocessing with variable health checks, multiple scaling methods (standardized, [...truncated...]
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

Diff between couplr versions 1.5.0 dated 2026-07-19 and 1.5.3 dated 2026-07-25

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Package bWGR updated to version 2.2.18 with previous version 2.2.17 dated 2025-12-11

Title: Bayesian Whole-Genome Regression
Description: Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, single step (<doi:10.1534/g3.119.400728>), univariate and multivariate (<doi:10.1186/s12711-022-00730-w>, <doi:10.1093/genetics/iyae179>), with optional kernel term and sampling techniques (<doi:10.1186/s12859-017-1582-3>).
Author: Alencar Xavier [aut, cre] , William Muir [aut], David Habier [aut], Kyle Kocak [aut], Shizhong Xu [aut], Katy Rainey [aut]
Maintainer: Alencar Xavier <alenxav@gmail.com>

Diff between bWGR versions 2.2.17 dated 2025-12-11 and 2.2.18 dated 2026-07-25

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Package RcppArmadillo updated to version 15.4.2-1 with previous version 15.4.0-1 dated 2026-06-19

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library aiming towards a good balance between speed and ease of use. It provides high-level syntax and functionality deliberately similar to Matlab. It is useful for algorithm development directly in C++, or quick conversion of research code into production environments. It provides efficient classes for vectors, matrices and cubes where dense and sparse matrices are supported. Integer, floating point and complex numbers are supported. A sophisticated expression evaluator (based on template meta-programming) automatically combines several operations to increase speed and efficiency. Dynamic evaluation automatically chooses optimal code paths based on detected matrix structures. Matrix decompositions are provided through integration with LAPACK, or one of its high performance drop-in replacements (such as 'MKL' or 'OpenBLAS'). It can automatically use 'OpenMP' multi-threading (parallelisation) to speed up computationally expensive operations [...truncated...]
Author: Dirk Eddelbuettel [aut, cre] , Romain Francois [aut] , Doug Bates [aut] , Binxiang Ni [aut], Conrad Sanderson [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 15.4.0-1 dated 2026-06-19 and 15.4.2-1 dated 2026-07-25

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More information about RcppArmadillo at CRAN
Permanent link

Package polykde updated to version 1.2.0 with previous version 1.1.7 dated 2025-07-27

Title: Polyspherical Kernel Density Estimation
Description: Kernel density estimation on the polysphere, (hyper)sphere, and circle. Includes functions for density estimation, regression estimation, ridge estimation, bandwidth selection, kernels, samplers, and homogeneity tests. Companion package to García-Portugués and Meilán-Vila (2025) <doi:10.1080/01621459.2025.2521898> and García-Portugués and Meilán-Vila (2023) <doi:10.1007/978-3-031-32729-2_4>.
Author: Eduardo Garcia-Portugues [aut, cre] , Andrea Meilan-Vila [ctb]
Maintainer: Eduardo Garcia-Portugues <edgarcia@est-econ.uc3m.es>

Diff between polykde versions 1.1.7 dated 2025-07-27 and 1.2.0 dated 2026-07-25

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Package textreuse updated to version 1.0.2 with previous version 1.0.1 dated 2026-05-07

Title: Detect Text Reuse and Document Similarity
Description: Tools for measuring similarity among documents and detecting passages which have been reused. Implements shingled n-gram, skip n-gram, and other tokenizers; similarity/dissimilarity functions; pairwise comparisons; minhash and locality sensitive hashing algorithms; and a version of the Smith-Waterman local alignment algorithm suitable for natural language.
Author: Lincoln Mullen [aut] , Yaoxiang Li [aut, cre]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>

Diff between textreuse versions 1.0.1 dated 2026-05-07 and 1.0.2 dated 2026-07-25

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Package cumulcalib updated to version 0.1.0 with previous version 0.0.1 dated 2024-06-13

Title: Cumulative Calibration Assessment for Prediction Models
Description: Tools for visualization of, and inference on, the calibration of prediction models on the cumulative domain. This provides a method for evaluating calibration of risk prediction models without having to group the data or use tuning parameters (e.g., loess bandwidth). This package implements the methodology described in Sadatsafavi and Petkau (2024) <doi:10.1002/sim.10138>. The core of the package is cumulcalib(), which takes in vectors of binary responses and predicted risks. The package also implements non-parametric assessment of the calibration of individualized treatment effect (ITE) models using data from a randomized trial, via cumulcalibITE(), as described in Sadatsafavi et al. (2025) <doi:10.48550/arXiv.2512.08140>. The plot() and summary() methods are implemented for the results returned by cumulcalib() and cumulcalibITE().
Author: Mohsen Sadatsafavi [aut, cre]
Maintainer: Mohsen Sadatsafavi <mohsen.sadatsafavi@ubc.ca>

Diff between cumulcalib versions 0.0.1 dated 2024-06-13 and 0.1.0 dated 2026-07-25

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More information about cumulcalib at CRAN
Permanent link

Package palimpsestr updated to version 0.24.0 with previous version 0.10.0 dated 2026-04-09

Title: Probabilistic Decomposition of Archaeological Palimpsests
Description: Probabilistic framework for the analysis of archaeological palimpsests based on the Stratigraphic Entanglement Field (SEF). Integrates spatial proximity, stratigraphic depth, chronological overlap, and cultural similarity to estimate latent depositional phases via diagonal Gaussian mixture Expectation-Maximisation (EM). Provides the Stratigraphic Entanglement Index (SEI), Excavation Stratigraphic Energy (ESE), and Palimpsest Dissolution Index (PDI) for quantifying depositional coherence, detecting intrusive finds, and measuring palimpsest formation. Includes simulation, diagnostics, phase-count selection, publication-quality plots, and Geographic Information System (GIS) export via 'sf'. Methods are described in Cocca (2026) <https://github.com/enzococca/palimpsestr>.
Author: Enzo Cocca [aut, cre]
Maintainer: Enzo Cocca <enzo.ccc@gmail.com>

Diff between palimpsestr versions 0.10.0 dated 2026-04-09 and 0.24.0 dated 2026-07-25

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Package IDConverter readmission to version 0.4.0 with previous version 0.3.4 dated 2023-03-14

Title: Convert Identifiers in Biological Databases
Description: Identifiers in biological databases connect different levels of metadata, phenotype data or genotype data. This tool is designed to easily convert identifiers within or between different biological databases (Wang, Shixiang, et al. (2021) <DOI:10.1371/journal.pgen.1009557>).
Author: Shixiang Wang [aut, cre]
Maintainer: Shixiang Wang <w_shixiang@163.com>

This is a re-admission after prior archival of version 0.3.4 dated 2023-03-14

Diff between IDConverter versions 0.3.4 dated 2023-03-14 and 0.4.0 dated 2026-07-25

 IDConverter-0.3.4/IDConverter/R/globalVars.R                                             |only
 IDConverter-0.4.0/IDConverter/DESCRIPTION                                                |   23 +-
 IDConverter-0.4.0/IDConverter/MD5                                                        |   65 +++---
 IDConverter-0.4.0/IDConverter/NAMESPACE                                                  |    5 
 IDConverter-0.4.0/IDConverter/NEWS.md                                                    |   51 ++++
 IDConverter-0.4.0/IDConverter/R/IDConverter-package.R                                    |    8 
 IDConverter-0.4.0/IDConverter/R/annotables-data.R                                        |   28 +-
 IDConverter-0.4.0/IDConverter/R/build_annotables.R                                       |only
 IDConverter-0.4.0/IDConverter/R/common_human_and_mouse_ids.R                             |   44 +++-
 IDConverter-0.4.0/IDConverter/R/convert_hm_orthologs.R                                   |only
 IDConverter-0.4.0/IDConverter/R/load_data.R                                              |   61 ++++-
 IDConverter-0.4.0/IDConverter/R/pair_gdc_samples.R                                       |only
 IDConverter-0.4.0/IDConverter/R/parse_gdc_uuid.R                                         |    5 
 IDConverter-0.4.0/IDConverter/README.md                                                  |  106 ++++++----
 IDConverter-0.4.0/IDConverter/build/partial.rdb                                          |binary
 IDConverter-0.4.0/IDConverter/build/vignette.rds                                         |only
 IDConverter-0.4.0/IDConverter/data/icgc.rda                                              |binary
 IDConverter-0.4.0/IDConverter/data/pcawg_full.rda                                        |binary
 IDConverter-0.4.0/IDConverter/data/pcawg_simple.rda                                      |binary
 IDConverter-0.4.0/IDConverter/data/tcga.rda                                              |binary
 IDConverter-0.4.0/IDConverter/inst/doc                                                   |only
 IDConverter-0.4.0/IDConverter/man/IDConverter-package.Rd                                 |    5 
 IDConverter-0.4.0/IDConverter/man/build_annotables.Rd                                    |only
 IDConverter-0.4.0/IDConverter/man/convert_hm_genes.Rd                                    |   16 +
 IDConverter-0.4.0/IDConverter/man/convert_hm_orthologs.Rd                                |only
 IDConverter-0.4.0/IDConverter/man/convert_icgc.Rd                                        |    2 
 IDConverter-0.4.0/IDConverter/man/convert_pcawg.Rd                                       |    4 
 IDConverter-0.4.0/IDConverter/man/convert_tcga.Rd                                        |    2 
 IDConverter-0.4.0/IDConverter/man/load_data.Rd                                           |   11 -
 IDConverter-0.4.0/IDConverter/man/ls_annotables.Rd                                       |   22 +-
 IDConverter-0.4.0/IDConverter/man/pair_gdc_samples.Rd                                    |only
 IDConverter-0.4.0/IDConverter/man/parse_gdc_file_uuid.Rd                                 |    7 
 IDConverter-0.4.0/IDConverter/man/resolve_gene_aliases.Rd                                |only
 IDConverter-0.4.0/IDConverter/tests/testthat/test-roxytest-testexamples-convert_custom.R |    4 
 IDConverter-0.4.0/IDConverter/tests/testthat/test-roxytest-testexamples-convert_icgc.R   |   16 -
 IDConverter-0.4.0/IDConverter/tests/testthat/test-roxytest-testexamples-convert_pcawg.R  |   20 -
 IDConverter-0.4.0/IDConverter/tests/testthat/test-roxytest-testexamples-convert_tcga.R   |   14 -
 IDConverter-0.4.0/IDConverter/vignettes                                                  |only
 38 files changed, 360 insertions(+), 159 deletions(-)

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