Thu, 07 May 2026

Package rsmatrix updated to version 0.2.10 with previous version 0.2.9 dated 2024-12-14

Title: Matrices for Repeat-Sales Price Indexes
Description: Calculate the matrices in Shiller (1991, <doi:10.1016/S1051-1377(05)80028-2>) that serve as the foundation for many repeat-sales price indexes.
Author: Steve Martin [aut, cre, cph]
Maintainer: Steve Martin <marberts@protonmail.com>

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Package nmw updated to version 0.3.0 with previous version 0.2.0 dated 2026-04-07

Title: Understanding Nonlinear Mixed Effects Modeling for Population Pharmacokinetics
Description: This shows how NONMEM(R) software works. NONMEM's classical estimation methods like 'First Order(FO) approximation', 'First Order Conditional Estimation(FOCE)', and 'Laplacian approximation' are explained. Additionally, provides functions for post-run processing of NONMEM output files, generating comprehensive PDF diagnostic reports including objective function value analysis, parameter estimates, prediction diagnostics, residual diagnostics, empirical Bayes estimate (EBE) analysis, input data summary, and individual pharmacokinetic parameter distributions.
Author: Kyun-Seop Bae [aut, cre]
Maintainer: Kyun-Seop Bae <k@acr.kr>

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Package ghclass updated to version 0.4.0 with previous version 0.3.1 dated 2025-05-06

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 cpfa updated to version 1.2-9 with previous version 1.2-8 dated 2026-04-13

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

Diff between cpfa versions 1.2-8 dated 2026-04-13 and 1.2-9 dated 2026-05-07

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Package adelie updated to version 1.0.9 with previous version 1.0.8 dated 2025-07-01

Title: Group Lasso and Elastic Net Solver for Generalized Linear Models
Description: Extremely efficient procedures for fitting the entire group lasso and group elastic net regularization path for GLMs, multinomial, the Cox model and multi-task Gaussian models. Similar to the R package 'glmnet' in scope of models, and in computational speed. This package provides R bindings to the C++ code underlying the corresponding Python package 'adelie'. These bindings offer a general purpose group elastic net solver, a wide range of matrix classes that can exploit special structure to allow large-scale inputs, and an assortment of generalized linear model classes for fitting various types of data. The package is an implementation of Yang, J. and Hastie, T. (2024) <doi:10.48550/arXiv.2405.08631>.
Author: James Yang [aut, cph], Trevor Hastie [aut, cph, cre], Balasubramanian Narasimhan [aut]
Maintainer: Trevor Hastie <hastie@stanford.edu>

Diff between adelie versions 1.0.8 dated 2025-07-01 and 1.0.9 dated 2026-05-07

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Package ATbounds updated to version 0.1.1 with previous version 0.1.0 dated 2021-11-24

Title: Bounding Treatment Effects by Limited Information Pooling
Description: Estimation and inference methods for bounding average treatment effects (on the treated) that are valid under an unconfoundedness assumption. The bounds are designed to be robust in challenging situations, for example, when the conditioning variables take on a large number of different values in the observed sample, or when the overlap condition is violated. This robustness is achieved by only using limited "pooling" of information across observations. For more details, see the paper by Lee and Weidner, "Bounding Treatment Effects by Pooling Limited Information across Observations," forthcoming at the Journal of Econometrics, <doi:10.48550/arXiv.2111.05243>.
Author: Sokbae Lee [aut, cre], Martin Weidner [aut]
Maintainer: Sokbae Lee <sl3841@columbia.edu>

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New package wrictools with initial version 1.0.1
Package: wrictools
Title: Analyze Whole Room Indirect Calorimetry (WRIC) Data
Version: 1.0.1
Description: Provides functions, tutorials, and examples to preprocess, analyze, and visualize data from whole room indirect calorimeters (WRIC) by Maastricht Instruments, using the 'OmniCal' software. Some functions may also work with WRICs from other manufacturers, though full functionality has only been validated for Maastricht Instruments devices.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: dplyr, ggplot2, magrittr, RCurl, readr, rlang, tidyr, readxl
URL: https://github.com/NinaZiegenbein/wrictools, https://ninaziegenbein.github.io/wrictools/
BugReports: https://github.com/NinaZiegenbein/wrictools/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-05 10:37:37 UTC; au698484
Author: Nina Ziegenbein [aut, cre, cph] , Anders Isaksen [rev]
Maintainer: Nina Ziegenbein <nina.ziegenbein@web.de>
Repository: CRAN
Date/Publication: 2026-05-07 20:30:44 UTC

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New package fb4package with initial version 2.0.0
Package: fb4package
Title: 'Fish Bioenergetics 4.0' Model Implementation with High-Performance 'TMB' Backend
Version: 2.0.0
Description: An implementation of the 'Fish Bioenergetics 4.0' framework described in Deslauriers et al. (2017) <doi:10.1080/03632415.2017.1377558>. Provides automated parameter optimization, multi-prey diet modeling, and comprehensive energy budget simulations for fisheries research and aquaculture applications. An optional 'TMB' (Template Model Builder) backend delivers 10-50x speedup in maximum likelihood estimation while maintaining full backward compatibility. Includes species-specific parameter databases and tools for modeling fish growth, consumption, and metabolism under varying environmental conditions.
URL: https://hansttito.github.io/fb4package/, https://github.com/HansTtito/fb4package
BugReports: https://github.com/HansTtito/fb4package/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Depends: R (>= 4.0.0)
Imports: graphics, grDevices, stats, tools, utils, Rcpp, TMB (>= 1.7.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, pkgdown, microbenchmark, future, furrr, spelling
LinkingTo: TMB, RcppEigen
Language: en-US
NeedsCompilation: yes
Packaged: 2026-05-04 20:49:54 UTC; hkev2
Author: Hans Ttito [aut, cre]
Maintainer: Hans Ttito <kvttitos@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-07 20:40:13 UTC

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Package CoSMoS updated to version 2.2.0 with previous version 2.1.2 dated 2026-01-27

Title: Complete Stochastic Modelling Solution
Description: Makes univariate, multivariate, or random fields simulations precise and simple. Just select the desired time series or random fields’ properties and it will do the rest. CoSMoS is based on the framework described in Papalexiou (2018, <doi:10.1016/j.advwatres.2018.02.013>), extended for random fields in Papalexiou and Serinaldi (2020, <doi:10.1029/2019WR026331>), and further advanced in Papalexiou et al. (2021, <doi:10.1029/2020WR029466>) to allow fine-scale space-time simulation of storms (or even cyclone-mimicking fields).
Author: Simon Michael Papalexiou [aut], Francesco Serinaldi [aut], Filip Strnad [aut], Yannis Markonis [aut], Kevin Shook [ctb, cre]
Maintainer: Kevin Shook <kshook@kshook.ca>

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Package SSIMmap updated to version 0.4.0 with previous version 0.1.1 dated 2023-09-26

Title: The Structural Similarity Index Measure for Maps
Description: Extends the classical SSIM method proposed by 'Wang', 'Bovik', 'Sheikh', and 'Simoncelli'(2004) <doi:10.1109/TIP.2003.819861>. for irregular lattice-based maps and raster images. The geographical SSIM method incorporates well-developed 'geographically weighted summary statistics'('Brunsdon', 'Fotheringham' and 'Charlton' 2002) <doi:10.1016/S0198-9715(01)00009-6> with an adaptive bandwidth kernel function for irregular lattice-based maps.
Author: Hui Jeong Ha [aut, cre] , Jed Long [aut]
Maintainer: Hui Jeong (Hailyee) Ha <hha24@uwo.ca>

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Permanent link

Package Rduckhts updated to version 1.2.1-0.1.0 with previous version 1.1.6-0.0.2 dated 2026-04-09

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>.
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] , DuckDB C Extension API Authors [ctb]
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>

Diff between Rduckhts versions 1.1.6-0.0.2 dated 2026-04-09 and 1.2.1-0.1.0 dated 2026-05-07

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Package ggversa updated to version 0.1.1 with previous version 0.0.1 dated 2017-08-05

Title: Conjuntos de Datos para 'Graficas Versatiles con ggplot2'
Description: Una coleccion de conjuntos de datos para el libro "Graficas versatiles con ggplot: Analisis visuales de datos", por Raymond L. Tremblay y Julian Hernandez-Serrano. Incluye datos de ecologia, salud publica, educacion, economia y biodiversidad para la ensenanza de visualizacion de datos con 'ggplot2'.
Author: Raymond L. Tremblay [aut, cre] , Julian Hernandez-Serrano [aut]
Maintainer: Raymond L. Tremblay <raymondtremblay1@mac.com>

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Package vntrs updated to version 0.2.1 with previous version 0.2.0 dated 2025-10-25

Title: Variable Neighborhood Trust Region Search
Description: Implements the variable neighborhood trust region search (VNTRS) algorithm for nonlinear global optimization, following Bierlaire et al. (2009) "A Heuristic for Nonlinear Global Optimization" <doi:10.1287/ijoc.1090.0343>. The method combines neighborhood exploration with a trust-region framework to search the solution space efficiently. It can terminate a local search early when the iterates converge toward a previously visited local optimum or when further improvement within the current region is unlikely. The algorithm can also be used to identify multiple local optima.
Author: Lennart Oelschlaeger [aut, cre]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

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Package md4r updated to version 0.5.3.0 with previous version 0.5.2.0 dated 2024-02-05

Title: Markdown Parser Implemented using the 'MD4C' Library
Description: Provides an R wrapper for the 'MD4C' (Markdown for 'C') library. Functions exist for parsing markdown ('CommonMark' compliant) along with support for other common markdown extensions (e.g. 'GitHub' flavored markdown, 'LaTeX' equation support, etc.). The package also provides a number of higher level functions for exploring and manipulating markdown abstract syntax trees as well as translating and displaying the documents.
Author: Colin Rundel [aut, cre], Martin Mitas [cph] , RStudio, PBC [cph] , John MacFarlane [cph]
Maintainer: Colin Rundel <rundel@gmail.com>

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New package toro with initial version 0.1.0
Package: toro
Title: Interactive & Customisable Maps using the 'MapLibre GL JS' Library
Version: 0.1.0
Description: Create interactive maps that can keep up with complex visualisations and large datasets, with this useful interface to the 'MapLibre GL JS' (<https://maplibre.org/maplibre-gl-js/docs/>) library. Users can create maps directly in the console, or as an HTML widget within 'Shiny' web applications, and render spatial data quickly with many customisable options (clusters, custom icons, map layers, and backgrounds). The goal of the package is to make it easier to interpret and explore large spatial datasets within the context of a 'Shiny' dashboard, without having long loading times waiting for a map to update with new data.
URL: https://epi-interactive-ltd.github.io/toro/, https://github.com/Epi-interactive-Ltd/toro/
BugReports: https://github.com/Epi-interactive-Ltd/toro/issues
License: AGPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.5.0)
Imports: htmlwidgets, shiny, jsonlite, geojsonsf, base64enc, sf
Suggests: knitr, usethis, rmarkdown, lintr, devtools, dplyr, webshot2, mapview, webshot, devtools, spData, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-04 23:05:58 UTC; poppy
Author: Poppy Pakinui [aut, cre], Jocelyn Qian [ctb], Nick Snellgrove [ctb], MapLibre contributors [cph] , Turf contributors [cph] , Mapbox contributors [cph] , epi [cph, fnd]
Maintainer: Poppy Pakinui <poppy@epi.group>
Repository: CRAN
Date/Publication: 2026-05-07 16:40:56 UTC

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New package solidauthr with initial version 0.1.2
Package: solidauthr
Title: Solid OIDC Client Credentials Authentication
Version: 0.1.2
Description: Authenticates against Community Solid Server identity providers using OAuth client credentials with DPoP proofs and performs authenticated requests against Solid resources.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: httr2, jose, jsonlite, openssl, R6, uuid
Suggests: testthat (>= 3.0.0)
URL: https://github.com/SetMeld/solidauthr
BugReports: https://github.com/SetMeld/solidauthr/issues
NeedsCompilation: no
Packaged: 2026-05-04 17:35:55 UTC; jacksonmorgan
Author: Jackson Morgan [aut, cre, cph]
Maintainer: Jackson Morgan <jackson@setmeld.com>
Repository: CRAN
Date/Publication: 2026-05-07 16:10:03 UTC

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New package s7contract with initial version 0.1.0
Package: s7contract
Title: 'Go'-Like Interfaces and 'Rust'-Like Traits with 'S7'
Version: 0.1.0
Description: Contract helpers built with 'S7' for expressing runtime protocols around ordinary 'S7' dispatch. Structural interfaces describe small sets of required 'S7' generics, while explicit traits record registered implementations with optional default methods and associated metadata. Optional runtime checks can validate argument and return specifications in contract-scoped evaluation.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: S7
Suggests: knitr, rmarkdown, tinytest
VignetteBuilder: knitr
URL: https://github.com/sounkou-bioinfo/s7contract, https://sounkou-bioinfo.github.io/s7contract/
BugReports: https://github.com/sounkou-bioinfo/s7contract/issues
NeedsCompilation: no
Packaged: 2026-05-04 17:03:53 UTC; sounkoutoure
Author: Sounkou Mahamane Toure [aut, cre]
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-07 16:10:08 UTC

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New package rocTools with initial version 0.1.3
Package: rocTools
Title: Tools for Distribution-Based ROC Smoothing Using 'pROC'
Version: 0.1.3
Description: Extends the functionality of the 'pROC' package for conducting smoothed receiver operating characteristic (ROC) curve analysis. Enables automated selection of the distribution families to be fit when smoothing ROC curves via the population probability density function estimation strategy described by Leeflang et al. (2008) <doi:10.1373/clinchem.2007.096032>, as well as generation of diagnostic performance and cutoff estimates from the resultant smoothed curves.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: MASS, pROC (>= 1.19.0)
Suggests: testthat (>= 3.0.0)
Author: Grant C. O'Connell [aut, cre]
Maintainer: Grant C. O'Connell <goconnell.phd@gmail.com>
Repository: CRAN
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-05-04 15:00:56 UTC; gco6
Date/Publication: 2026-05-07 16:10:13 UTC

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New package RMeDPower2 with initial version 1.0.1
Package: RMeDPower2
Title: Design and Modeling for Repeated Measures Studies
Version: 1.0.1
Description: Provides complete functionality to analyse data from repeated measures experiments with hierarchical or crossed experimental designs. Supports testing modeling assumptions, identifying outlier observations and experimental units, estimating statistical power, and performing sample size calculations. Uses linear mixed effects models via 'lme4' and simulation-based power analysis via 'simr'. Handles both normal and non-normal error distributions including binomial and Poisson families. For more details see Shin et al. (2022) <doi:10.1101/2022.07.18.500490>, Bates et al. (2015) <doi:10.18637/jss.v067.i01>, Green and MacLeod (2016) <doi:10.1111/2041-210X.12504>, Hartig (2024) <doi:10.32614/CRAN.package.DHARMa>, Nieuwenhuis et al. (2012) <doi:10.32614/RJ-2012-011>, Millard (2013) <doi:10.1007/978-1-4614-8456-1> and Kuznetsova et al. (2017) <doi:10.18637/jss.v082.i13>.
License: GPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Depends: R (>= 4.0)
Imports: lme4, dplyr, simr, magrittr, ggplot2, ggtext, quantreg, tibble, lmerTest, DHARMa, influence.ME, EnvStats, jsonlite, methods, stats, grDevices, graphics
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-04 19:51:15 UTC; rthomas
Author: Min-Gyoung Shin [aut], Reuben Thomas [aut, cre]
Maintainer: Reuben Thomas <reuben.thomas@gladstone.ucsf.edu>
Repository: CRAN
Date/Publication: 2026-05-07 16:20:34 UTC

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New package qgarch with initial version 0.1.0
Package: qgarch
Title: Quadratic GARCH-in-Mean Models for Volatility Feedback
Version: 0.1.0
Description: Fits quadratic generalized autoregressive conditional heteroskedasticity-in-mean (QGARCH-M) models motivated by Campbell and Hentschel (1992). The package supports models with lambda fixed at zero, lambda restricted to a function of the remaining parameters, lambda estimated freely, and a threshold extension with state-dependent lambda. It also provides tools for starting values, estimation, forecasting, likelihood-ratio testing, moment diagnostics, and replication with the included monthly U.S. stock market dataset.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: MASS
Suggests: testthat (>= 3.0.0)
LazyData: true
URL: https://github.com/sho-125/qgarch
BugReports: https://github.com/sho-125/qgarch/issues
NeedsCompilation: no
Packaged: 2026-05-05 03:06:02 UTC; sho125
Author: Jedrzej Bialkowski [aut], Sanghyun Hong [aut, cre], Moritz Wagner [aut]
Maintainer: Sanghyun Hong <sanghyun.hong@canterbury.ac.nz>
Repository: CRAN
Date/Publication: 2026-05-07 16:41:03 UTC

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Package pharmaversesdtmjnj updated to version 0.0.4 with previous version 0.0.1 dated 2025-07-07

Title: J&J Innovative Medicine SDTM Test Data
Description: A set of Study Data Tabulation Model (SDTM) datasets constructed by modifying the 'pharmaversesdtm' package to meet J&J Innovative Medicine's standard data structure for Clinical and Statistical Programming.
Author: David Munoz Tord [aut, cre], Nicholas Masel [aut], Joe Kovach [aut], Renfei Mao [ctb], J&J Innovative Medicine [cph, fnd]
Maintainer: David Munoz Tord <david.munoztord@mailbox.org>

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Package pharmaverseadamjnj updated to version 0.0.4 with previous version 0.0.2 dated 2025-12-10

Title: J&J Innovative Medicine ADaM Test Data
Description: A set of Analysis Data Model (ADaM) datasets constructed by modifying the ADaM datasets in the 'pharmaverseadam' package to meet J&J Innovative Medicine's standard data structure for Clinical and Statistical Programming.
Author: David Munoz Tord [aut, cre], Nicholas Masel [aut], Joe Kovach [aut], Mahesh Divakaran [ctb], J&J Innovative Medicine [cph, fnd]
Maintainer: David Munoz Tord <david.munoztord@mailbox.org>

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Package mafR updated to version 1.1.14 with previous version 1.1.6 dated 2024-09-26

Title: Interface for Masked Autoregressive Flows
Description: Interfaces the 'python' library 'zuko' implementing Masked Autoregressive Flows. See Rozet, Divo and Schnake (2023) <doi:10.5281/zenodo.7625672> and Papamakarios, Pavlakou and Murray (2017) <doi:10.48550/arXiv.1705.07057>.
Author: Jean-Michel Marin [aut, cph], Francois Rousset [aut, cre, cph]
Maintainer: Francois Rousset <francois.rousset@umontpellier.fr>

Diff between mafR versions 1.1.6 dated 2024-09-26 and 1.1.14 dated 2026-05-07

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New package dbProject with initial version 0.1.0
Package: dbProject
Title: Database Connection Management and Utilities for 'dbverse'
Version: 0.1.0
Description: Provides an R6-based project container for managing 'DuckDB' connections, reconnecting lazy database tables after session restarts, and storing metadata for database-backed objects used by packages in the 'dbverse'. The package supplies S4 base classes and generics for database-backed data, helpers for validating 'DuckDB' connections and table names, utilities for creating persistent database views, and methods for writing and restoring pinned lazy tables through the 'pins' package. These tools help package authors and analysts keep database paths, cached connections, and table references synchronized across interactive sessions and project directories.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/dbverse-org/dbproject-r, https://dbverse-org.github.io/dbproject-r/
BugReports: https://github.com/dbverse-org/dbproject-r/issues
Depends: R (>= 4.1.0)
Imports: dplyr, duckdb (>= 1.4.0), DBI, pins, dbplyr, methods, glue, cli, R6, connections, yaml
Suggests: knitr, rmarkdown, withr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-04 19:45:00 UTC; ecruiz
Author: Edward C. Ruiz [aut, cre] , Jiaji George Chen [aut], Ruben Dries [aut]
Maintainer: Edward C. Ruiz <ecr7407@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-07 16:41:19 UTC

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New package datazoom.social with initial version 0.1.0
Package: datazoom.social
Title: Simplify Access to Brazilian Social Data
Version: 0.1.0
Description: Provides tools for downloading and processing microdata from the PNAD ContĂ­nua (PNADC, Continuous National Household Sample Survey), a rotating panel survey published quarterly by IBGE (Brazilian Institute of Geography and Statistics). Includes panel identification algorithms for linking individuals across survey waves.
License: MIT + file LICENSE
URL: https://datazoom.com.br/en/
Imports: arrow, data.table, dplyr, magrittr, PNADcIBGE, purrr, readr, rlang, stringr, tidyr
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
BugReports: https://github.com/datazoompuc/datazoom.social/issues
LazyData: true
NeedsCompilation: no
Packaged: 2026-05-04 14:18:36 UTC; Bernardo
Author: Laura Tavares Regadas [aut, cre], DataZoom [fnd], Igor Rigolon Veiga [aut], Arthur Lins de Vasconcellos [aut], Giulia Toscano Imbuzeiro [aut], Guilherme Jardim [aut], Pablo Chaves [aut], Breno Avidos [aut], Bernardo Sieira [aut]
Maintainer: Laura Tavares Regadas <lauratregadas@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-07 16:01:37 UTC

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Package CERFIT updated to version 0.2.0 with previous version 0.1.1 dated 2025-09-26

Title: Causal Effect Random Forest of Interaction Trees
Description: Fits a Causal Effect Random Forest of Interaction Trees (CERFIT) which is a modification of the Random Forest algorithm where each split is chosen to maximize subgroup treatment heterogeneity. Doing this allows it to estimate the individualized treatment effect for each observation in either randomized controlled trial (RCT) or observational data. For more information see L. Li, R. A. Levine, and J. Fan (2022) <doi:10.1002/sta4.457>.
Author: Justin Thorp [aut, cre], Joshua Moffat [aut], Luo Li [aut], Juanjuan Fan [aut]
Maintainer: Justin Thorp <jjtthorp@gmail.com>

Diff between CERFIT versions 0.1.1 dated 2025-09-26 and 0.2.0 dated 2026-05-07

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New package CepalStatR with initial version 0.9.0
Package: CepalStatR
Title: Access to the 'CEPALSTAT API'
Version: 0.9.0
Description: Explore metadata and retrieve indicators from the statistical portal of the Economic Commission for Latin America and the Caribbean <https://statistics.cepal.org/portal/cepalstat/>. Provides a reproducible interface to access the 'CEPALSTAT API', organize data into tidy formats, and generate both static and interactive visualizations.
License: MIT + file LICENSE
URL: https://github.com/Henry-Osorto/CepalStatR, https://henry-osorto.github.io/CepalStatR/
BugReports: https://github.com/Henry-Osorto/CepalStatR/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: base64enc, dplyr, httr2, htmltools, jsonlite, magrittr, reactable, stringr, tidyselect, rlang, collapsibleTree, gridExtra, htmlwidgets
Suggests: ggplot2, gt, knitr, rmarkdown, svglite, testthat (>= 3.0.0), vcr, webmockr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-05 05:00:20 UTC; henry
Author: Henry Osorto [aut, cre]
Maintainer: Henry Osorto <henry.osorto@unah.edu.hn>
Repository: CRAN
Date/Publication: 2026-05-07 16:43:28 UTC

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New package amp.sim with initial version 0.1.0
Package: amp.sim
Title: Flexible Simulation Utilities for Pharmacometric Modeling
Version: 0.1.0
Description: The goal of 'amp.sim' is to transform 'NONMEM' models into R syntax so they can be used for simulations using the 'deSolve', 'nlmixr2' or 'mrgsolve' package. Additionally, functionality is included to aid simulations performed directly in 'NONMEM' and to automatically create shiny apps for simulation models.
URL: https://leidenadvancedpkpd.github.io/amp.sim/, https://github.com/LeidenAdvancedPKPD/amp.sim
BugReports: https://github.com/LeidenAdvancedPKPD/amp.sim/issues
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: quarto
Depends: R (>= 4.1.0)
Imports: stats, utils, MASS, whisker, rlang, cli, lifecycle, NMdata (>= 0.2.3)
Suggests: nonmem2rx, tidyr, shiny, shinyjs, bslib, rstudioapi, deSolve, rxode2, mrgsolve, R3port, ggplot2, dplyr, testthat, quarto
NeedsCompilation: no
Packaged: 2026-05-05 07:57:10 UTC; r.hooijmaijers
Author: Richard Hooijmaijers [aut, cre, cph], LAPP Consultants [fnd, cph]
Maintainer: Richard Hooijmaijers <richardhooijmaijers@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-07 16:41:25 UTC

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New package surveysearch with initial version 0.1.0
Package: surveysearch
Title: Search and Examine Variables Across Survey Datasets
Version: 0.1.0
Description: Search for variables across multiple survey datasets, examine variable properties (labels, values, missingness), and explore variable context within datasets. Useful for navigating complex survey data with many variables and understanding variable relationships and metadata.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-04 09:57:24 UTC; malor
Author: Malo Raballand [aut, cre]
Maintainer: Malo Raballand <malo.raballand@sciencespo.fr>
Repository: CRAN
Date/Publication: 2026-05-07 15:51:26 UTC

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Package MKmisc updated to version 2.0 with previous version 1.9 dated 2022-11-19

Title: Miscellaneous Functions from M. Kohl
Description: Contains several functions for statistical data analysis; e.g. for sample size and power calculations, computation of confidence intervals and tests, and generation of similarity matrices.
Author: Matthias Kohl [aut, cre]
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

Diff between MKmisc versions 1.9 dated 2022-11-19 and 2.0 dated 2026-05-07

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Package collinear updated to version 3.0.1 with previous version 3.0.0 dated 2025-12-08

Title: Automated Multicollinearity Management
Description: Provides a comprehensive and automated workflow for managing multicollinearity in data frames with numeric and/or categorical variables. The package integrates five robust methods into a single function: (1) target encoding of categorical variables based on response values (Micci-Barreca, 2001 (Micci-Barreca, D. 2001 <doi:10.1145/507533.507538>); (2) automated feature prioritization to preserve key predictors during filtering; (3 and 4) pairwise correlation and VIF filtering across all variable types (numeric–numeric, numeric–categorical, and categorical–categorical); (5) adaptive correlation and VIF thresholds. Together, these methods enable a reliable multicollinearity management in most use cases while maintaining model integrity. The package also supports parallel processing and progress tracking via the packages 'future' and 'progressr', and provides seamless integration with the 'tidymodels' ecosystem through a dedicated recipe step.
Author: Blas M. Benito [aut, cre, cph]
Maintainer: Blas M. Benito <blasbenito@gmail.com>

Diff between collinear versions 3.0.0 dated 2025-12-08 and 3.0.1 dated 2026-05-07

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More information about collinear at CRAN
Permanent link

Package bfbin2arm updated to version 0.1.2 with previous version 0.1.0 dated 2026-02-24

Title: Bayes Factor Design for Two-Arm Binomial Trials
Description: Design and analysis of one- and two-stage two-arm binomial clinical phase II trials using Bayes factors. Implements Bayes factors for point-null and directional hypotheses, predictive densities under different hypotheses, and power and sample size calibration.
Author: Riko Kelter [aut, cre]
Maintainer: Riko Kelter <rkelter@uni-koeln.de>

Diff between bfbin2arm versions 0.1.0 dated 2026-02-24 and 0.1.2 dated 2026-05-07

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Permanent link

Package wallace readmission to version 2.2.1 with previous version 2.2.0 dated 2025-03-06

Title: A Modular Platform for Reproducible Modeling of Species Niches and Distributions
Description: The 'shiny' application Wallace is a modular platform for reproducible modeling of species niches and distributions. Wallace guides users through a complete analysis, from the acquisition of species occurrence and environmental data to visualizing model predictions on an interactive map, thus bundling complex workflows into a single, streamlined interface. An extensive vignette, which guides users through most package functionality can be found on the package's GitHub Pages website: <https://wallaceecomod.github.io/wallace/articles/tutorial-v2.html>.
Author: Daniel F. Lopez-Lozano [aut], Bethany A. Johnson [aut], Jamie M. Kass [aut], Gonzalo E. Pinilla-Buitrago [aut], Andrea Paz [aut], Valentina Grisales-Betancur [aut], Dean Attali [aut], Matthew E. Aiello-Lammens [aut], Cory Merow [aut], Mary E. Blair [ [...truncated...]
Maintainer: Mary E. Blair <mblair1@amnh.org>

This is a re-admission after prior archival of version 2.2.0 dated 2025-03-06

Diff between wallace versions 2.2.0 dated 2025-03-06 and 2.2.1 dated 2026-05-07

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More information about wallace at CRAN
Permanent link

Package ronfig updated to version 0.0.10 with previous version 0.0.9 dated 2026-03-16

Title: Load Configuration Values
Description: A simple approach to configuring R projects with different parameter values. Configurations are specified using a reduced subset of base R and parsed accordingly.
Author: Tim Taylor [aut, cre, cph]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

Diff between ronfig versions 0.0.9 dated 2026-03-16 and 0.0.10 dated 2026-05-07

 DESCRIPTION        |    8 ++---
 MD5                |   10 +++----
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Package MVar.pt updated to version 2.2.9 with previous version 2.2.8 dated 2026-04-13

Title: Analise multivariada (brazilian portuguese)
Description: Analise multivariada, tendo funcoes que executam analise de correspondencia simples (CA) e multipla (MCA), analise de componentes principais (PCA), analise de correlacao canonica (CCA), analise fatorial (FA), escalonamento multidimensional (MDS), analise discriminante linear (LDA) e quadratica (QDA), analise de cluster hierarquico e nao hierarquico, regressao linear simples e multipla, analise de multiplos fatores (MFA) para dados quantitativos, qualitativos, de frequencia (MFACT) e dados mistos, biplot, scatter plot, projection pursuit (PP), grant tour e outras funcoes uteis para a analise multivariada.
Author: Paulo Cesar Ossani [aut, cre] , Marcelo Angelo Cirillo [aut]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

Diff between MVar.pt versions 2.2.8 dated 2026-04-13 and 2.2.9 dated 2026-05-07

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Package ggguides updated to version 1.1.10 with previous version 1.1.6 dated 2026-04-23

Title: Simplified Legend and Guide Alignment for 'ggplot2'
Description: Provides one-liner functions for common legend and guide operations in 'ggplot2'. Simplifies legend positioning, styling, wrapping, and collection across multi-panel plots created with 'patchwork' or 'cowplot'.
Author: Gilles Colling [aut, cre]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package campsismod updated to version 1.3.2 with previous version 1.3.1 dated 2026-03-17

Title: Generic Implementation of a PK/PD Model
Description: A generic, easy-to-use and expandable implementation of a pharmacokinetic (PK) / pharmacodynamic (PD) model based on the S4 class system. This package allows the user to read and write pharmacometric models from and to files, including a JSON-based interface to import Campsis models defined using a formal JSON schema distributed with the package. Models can be adapted further on the fly in the R environment using an intuitive API to add, modify or delete equations, ordinary differential equations (ODEs), model parameters or compartment properties (such as infusion duration or rate, bioavailability and initial values). The package also provides export facilities for use with the simulation packages 'rxode2' and 'mrgsolve'. The package itself is licensed under the GPL (>= 3); the JSON schema file shipped in inst/extdata is licensed separately under the Creative Commons Attribution 4.0 International (CC BY 4.0). This package is designed and intended to be used with the package 'campsi [...truncated...]
Author: Nicolas Luyckx [aut, cre]
Maintainer: Nicolas Luyckx <nicolas.luyckx@calvagone.com>

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Package ananke updated to version 0.2.0 with previous version 0.1.0 dated 2025-04-18

Title: Quantitative Chronology in Archaeology
Description: Simple radiocarbon calibration and chronological analysis. This package allows the calibration of radiocarbon ages and modern carbon fraction values using multiple calibration curves. It allows the calculation of highest density region intervals and credible intervals. The package also provides tools for visualising results and estimating statistical summaries.
Author: Nicolas Frerebeau [aut, cre] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package RoBMA updated to version 4.0.0 with previous version 3.6.1 dated 2025-12-17

Title: Robust Bayesian Meta-Analyses
Description: A framework for Bayesian meta-analysis, including model estimation, prior specification, model comparison, prediction, summaries, visualizations, and diagnostics. The package fits single and model-averaged meta-analytic, meta-regression, multilevel, publication bias adjusted, and generalized linear mixed models The model-averaged meta-analytic models combine competing models based on their predictive performance, weight inference by posterior model probabilities, and test model components using Bayes factors (e.g., effect vs. no effect; Bartoš et al., 2022, <doi:10.1002/jrsm.1594>; Maier, Bartoš & Wagenmakers, 2022, <doi:10.1037/met0000405>; Bartoš et al., 2025, <doi:10.1037/met0000737>). Users can specify flexible prior distributions for effect sizes, heterogeneity, publication bias (including selection models and PET-PEESE), and moderators.
Author: Frantisek Bartos [aut, cre] , Maximilian Maier [aut] , Eric-Jan Wagenmakers [ths] , Joris Goosen [ctb], Matthew Denwood [cph] , Martyn Plummer [cph]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

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Package oolong updated to version 0.7.0 with previous version 0.6.1 dated 2024-04-15

Title: Create Validation Tests for Automated Content Analysis
Description: Intended to create standard human-in-the-loop validity tests for typical automated content analysis such as topic modeling and dictionary-based methods. This package offers a standard workflow with functions to prepare, administer and evaluate a human-in-the-loop validity test. This package provides functions for validating topic models using word intrusion, topic intrusion (Chang et al. 2009, <https://papers.nips.cc/paper/3700-reading-tea-leaves-how-humans-interpret-topic-models>) and word set intrusion (Ying et al. 2021) <doi:10.1017/pan.2021.33> tests. This package also provides functions for generating gold-standard data which are useful for validating dictionary-based methods. The default settings of all generated tests match those suggested in Chang et al. (2009) and Song et al. (2020) <doi:10.1080/10584609.2020.1723752>.
Author: Chung-hong Chan [aut, cre] , Marius Saeltzer [aut]
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

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Package MVar updated to version 2.2.9 with previous version 2.2.8 dated 2026-04-13

Title: Multivariate Analysis
Description: Multivariate analysis, having functions that perform simple correspondence analysis (CA) and multiple correspondence analysis (MCA), principal components analysis (PCA), canonical correlation analysis (CCA), factorial analysis (FA), multidimensional scaling (MDS), linear (LDA) and quadratic discriminant analysis (QDA), hierarchical and non-hierarchical cluster analysis, simple and multiple linear regression, multiple factor analysis (MFA) for quantitative, qualitative, frequency (MFACT) and mixed data, biplot, scatter plot, projection pursuit (PP), grant tour method and other useful functions for the multivariate analysis.
Author: Paulo Cesar Ossani [aut, cre] , Marcelo Angelo Cirillo [aut]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package MKomics updated to version 0.8 with previous version 0.7 dated 2021-08-08

Title: Omics Data Analysis
Description: Similarity plots based on correlation and median absolute deviation (MAD); adjusting colors for heatmaps; aggregate technical replicates; calculate pairwise fold-changes and log fold-changes; compute one- and two-way ANOVA; simplified interface to package 'limma' (Ritchie et al. (2015), <doi:10.1093/nar/gkv007> ) for moderated t-test and one-way ANOVA; Hamming and Levenshtein (edit) distance of strings as well as optimal alignment scores for global (Needleman-Wunsch) and local (Smith-Waterman) alignments with constant gap penalties (Merkl and Waack (2009), ISBN:978-3-527-32594-8).
Author: Matthias Kohl [aut, cre]
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

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Package lfebd3 updated to version 0.2.0 with previous version 0.1.0 dated 2026-04-24

Title: Generation and Analysis of 3-Level and 5-Level Factorial Block Designs
Description: Provides tools to generate and analyze 3-level and 5-level linear factorial block designs, including complete factorial layouts, fractional factorial layouts, confounded factorial layouts, and design-characteristic summaries. The package includes utilities for recursive construction, defining-contrast identification, alias and confounding summaries, incidence matrix construction, and selected design-characteristic diagnostics. The methodological framework follows foundational work on factorial block designs, including Gupta (1983) <doi:10.1111/j.2517-6161.1983.tb01253.x>.
Author: Vankudoth Kumar [aut], Sukanta Dash [aut, cre], Med Ram Verma [aut]
Maintainer: Sukanta Dash <sukanta.iasri@gmail.com>

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Package graphpcor readmission to version 0.1.25 with previous version 0.1.24 dated 2026-03-23

Title: Models for Correlation Matrices Based on Graphs
Description: Implement some models for correlation/covariance matrices including two approaches to model correlation matrices from a graphical structure. One use latent parent variables as proposed in Sterrantino et. al. (2024) <doi:10.1007/s10260-025-00788-y>. The other uses a graph to specify conditional relations between the variables. The graphical structure makes correlation matrices interpretable and avoids the quadratic increase of parameters as a function of the dimension. In the first approach a natural sequence of simpler models along with a complexity penalization is used. The second penalizes deviations from a base model. These can be used as prior for model parameters, considering C code through the 'cgeneric' interface for the 'INLA' package (<https://www.r-inla.org>). This allows one to use these models as building blocks combined and to other latent Gaussian models in order to build complex data models.
Author: Elias Teixeira Krainski [cre, aut, cph] , Denis Rustand [aut, cph] , Anna Freni-Sterrantino [aut, cph] , Janet van Niekerk [aut, cph] , Haavard Rue’ [aut]
Maintainer: Elias Teixeira Krainski <elias.krainski@kaust.edu.sa>

This is a re-admission after prior archival of version 0.1.24 dated 2026-03-23

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Package RoBSA updated to version 1.0.4 with previous version 1.0.3 dated 2025-03-24

Title: Robust Bayesian Survival Analysis
Description: A framework for estimating ensembles of parametric survival models with different parametric families. The RoBSA framework uses Bayesian model-averaging to combine the competing parametric survival models into a model ensemble, weights the posterior parameter distributions based on posterior model probabilities and uses Bayes factors to test for the presence or absence of the individual predictors or preference for a parametric family (Bartoš, Aust & Haaf, 2022, <doi:10.1186/s12874-022-01676-9>). The user can define a wide range of informative priors for all parameters of interest. The package provides convenient functions for summary, visualizations, fit diagnostics, and prior distribution calibration.
Author: Frantisek Bartos [aut, cre] , Julia M. Haaf [ths] , Matthew Denwood [cph] , Martyn Plummer [cph]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

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Package medrxivr readmission to version 0.1.3 with previous version 0.1.1 dated 2024-10-04

Title: Access and Search MedRxiv and BioRxiv Preprint Data
Description: An increasingly important source of health-related bibliographic content are preprints - preliminary versions of research articles that have yet to undergo peer review. The two preprint repositories most relevant to health-related sciences are medRxiv <https://www.medrxiv.org/> and bioRxiv, both of which are operated by the Cold Spring Harbor Laboratory. 'medrxivr' provides programmatic access to the 'Cold Spring Harbour Laboratory (CSHL)' API <https://api.biorxiv.org/>, allowing users to easily download medRxiv and bioRxiv preprint metadata (e.g. title, abstract, publication date, author list, etc) into R. 'medrxivr' also provides functions to search the downloaded preprint records using regular expressions and Boolean logic, as well as helper functions that allow users to export their search results to a .BIB file for easy import to a reference manager and to download the full-text PDFs of preprints matching their search criteria.
Author: Yaoxiang Li [aut, cre] , Luke McGuinness [aut], Lena Schmidt [aut], Tuija Sonkkila [rev], Najko Jahn [rev]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>

This is a re-admission after prior archival of version 0.1.1 dated 2024-10-04

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Package iotarelr updated to version 0.1.9 with previous version 0.1.8 dated 2026-04-21

Title: Iota Inter Coder Reliability for Content Analysis
Description: Routines and tools for assessing the quality of content analysis on the basis of the Iota Reliability Concept. The concept is inspired by item response theory and can be applied to any kind of content analysis which uses a standardized coding scheme and discrete categories. It is also applicable for content analysis conducted by artificial intelligence. The package provides reliability measures for a complete scale as well as for every single category. Analysis of subgroup-invariance and error corrections are implemented. This information can support the development process of a coding scheme and allows a detailed inspection of the quality of the generated data. Equations and formulas working in this package are part of Berding et al. (2022)<doi:10.3389/feduc.2022.818365> and Berding and Pargmann (2022) <doi:10.30819/5581>.
Author: Berding Florian [aut, cre] , Pargmann Julia [ctb]
Maintainer: Berding Florian <florian.berding@uni-hamburg.de>

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Package IDetect updated to version 0.1.1 with previous version 0.1.0 dated 2018-03-09

Title: Isolate-Detect Method for Multiple Change-Point Detection
Description: The IDetect provides efficient implementation of the ID methodology for the consistent estimation of the number and location of multiple change-points in one-dimensional data sequences from the `deterministic + noise' model. Currently implemented scenarios are: piecewise-constant signal, piecewise-constant signal with a heavy-tailed noise, continuous piecewise-linear signal, continuous piecewise-linear signal with a heavy-tailed noise.
Author: Andreas Anastasiou [aut, cre], Piotr Fryzlewicz [aut]
Maintainer: Andreas Anastasiou <anastasiou.andreas@ucy.ac.cy>

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Package greeks updated to version 1.5.3 with previous version 1.5.1 dated 2025-11-17

Title: Sensitivities of Prices of Financial Options and Implied Volatilities
Description: Methods to calculate sensitivities of financial option prices for European, geometric and arithmetic Asian, and American options, with various payoff functions in the Black Scholes model, and in more general jump diffusion models. A shiny app to interactively plot the results is included. Furthermore, methods to compute implied volatilities are provided for a wide range of option types and custom payoff functions. Classical formulas are implemented for European options in the Black Scholes Model, as is presented in Hull, J. C. (2017), Options, Futures, and Other Derivatives. In the case of Asian options, Malliavin Monte Carlo Greeks are implemented, see Hudde, A. & Rüschendorf, L. (2023). European and Asian Greeks for exponential Lévy processes. <doi:10.1007/s11009-023-10014-5>. For American options, the Binomial Tree Method is implemented, as is presented in Hull, J. C. (2017).
Author: Anselm Hudde [aut, cre]
Maintainer: Anselm Hudde <anselmhudde@gmx.de>

Diff between greeks versions 1.5.1 dated 2025-11-17 and 1.5.3 dated 2026-05-07

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Package fru updated to version 0.0.7 with previous version 0.0.6 dated 2026-04-24

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

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Package aelab updated to version 1.1.3 with previous version 1.1.1 dated 2026-02-26

Title: Data Processing for Aquatic Ecology
Description: Facilitate the analysis of data related to aquatic ecology, specifically the establishment of carbon budget. Currently, the package allows the below analysis. (i) the calculation of greenhouse gas flux based on data obtained from trace gas analyzer using the method described in Lin et al. (2024). (ii) the calculation of Dissolved Oxygen (DO) metabolism based on data obtained from dissolved oxygen data logger using the method described in Staehr et al. (2010). Yong et al. (2024) <doi:10.5194/bg-21-5247-2024>. Staehr et al. (2010) <doi:10.4319/lom.2010.8.0628>.
Author: Zhao-Jun Yong [cre, aut]
Maintainer: Zhao-Jun Yong <nuannuan0425@gmail.com>

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Package wru updated to version 3.1.0 with previous version 3.0.3 dated 2024-05-24

Title: Who are You? Bayesian Prediction of Racial Category Using Surname, First Name, Middle Name, and Geolocation
Description: Predicts individual race/ethnicity using surname, first name, middle name, geolocation, and other attributes, such as gender and age. The method utilizes Bayes' Rule (with optional measurement error correction) to compute the posterior probability of each racial category for any given individual. The package implements methods described in Imai and Khanna (2016) "Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Records" Political Analysis <DOI:10.1093/pan/mpw001> and Imai, Olivella, and Rosenman (2022) "Addressing census data problems in race imputation via fully Bayesian Improved Surname Geocoding and name supplements" <DOI:10.1126/sciadv.adc9824>. The package also incorporates the data described in Rosenman, Olivella, and Imai (2023) "Race and ethnicity data for first, middle, and surnames" <DOI:10.1038/s41597-023-02202-2>.
Author: Kabir Khanna [aut], Brandon Bertelsen [aut, cre], Santiago Olivella [aut], Evan Rosenman [aut], Alexander Rossell Hayes [aut], Kosuke Imai [aut], Noah Dasanaike [aut]
Maintainer: Brandon Bertelsen <brandon@bertelsen.ca>

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Package summata updated to version 0.11.5 with previous version 0.11.4 dated 2026-03-20

Title: Publication-Ready Summary Tables and Forest Plots
Description: A comprehensive framework for descriptive statistics and regression analysis that produces publication-ready tables and forest plots. Provides a unified interface from descriptive statistics through multivariable modeling, with support for linear models, generalized linear models, Cox proportional hazards, and mixed-effects models. Also includes univariable screening, multivariate regression, model comparison, and export to multiple formats including PDF, DOCX, PPTX, 'LaTeX', HTML, and RTF. Built on 'data.table' for computational efficiency.
Author: Paul Hsin-ti McClelland [aut, cre, cph]
Maintainer: Paul Hsin-ti McClelland <PaulHMcClelland@protonmail.com>

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Package fdasrvf updated to version 2.4.4 with previous version 2.4.3 dated 2026-02-20

Title: Elastic Functional Data Analysis
Description: Performs alignment, PCA, and modeling of multidimensional and unidimensional functions using the square-root velocity framework (Srivastava et al., 2011 <doi:10.48550/arXiv.1103.3817> and Tucker et al., 2014 <DOI:10.1016/j.csda.2012.12.001>). This framework allows for elastic analysis of functional data through phase and amplitude separation.
Author: J. Derek Tucker [aut, cre] , Aymeric Stamm [ctb]
Maintainer: J. Derek Tucker <jdtuck@sandia.gov>

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Package mnirs updated to version 0.6.3 with previous version 0.6.2 dated 2026-04-18

Title: Muscle Near-Infrared Spectroscopy Processing and Analysis
Description: Read, process, and analyse data from muscle near-infrared spectroscopy (mNIRS) devices. Import raw data from .csv or .xls(x) files and return time-series data and metadata. Includes standardised methods for cleaning, filtering, and pre-processing mNIRS data for subsequent analysis. Also includes a custom plot theme and colour palette. Intended for mNIRS researchers and practitioners in exercise physiology, sports science, and clinical rehabilitation with minimal coding experience required.
Author: Jem Arnold [aut, cre, cph]
Maintainer: Jem Arnold <jem.arnold@gmail.com>

Diff between mnirs versions 0.6.2 dated 2026-04-18 and 0.6.3 dated 2026-05-07

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Package kimfilter updated to version 2.0.0 with previous version 1.1.0 dated 2025-10-17

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

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Package ellmer updated to version 0.4.1 with previous version 0.4.0 dated 2025-11-15

Title: Chat with Large Language Models
Description: Chat with large language models from a range of providers including 'Claude' <https://claude.ai>, 'OpenAI' <https://chatgpt.com>, and more. Supports streaming, asynchronous calls, tool calling, and structured data extraction.
Author: Hadley Wickham [aut, cre] , Joe Cheng [aut], Aaron Jacobs [aut], Garrick Aden-Buie [aut] , Barret Schloerke [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package traumar updated to version 1.2.6 with previous version 1.2.5 dated 2026-04-16

Title: Calculate Metrics for Trauma System Performance
Description: Hospitals, hospital systems, and even trauma systems that provide care to injured patients may not be aware of robust metrics that can help gauge the efficacy of their programs in saving the lives of injured patients. 'traumar' provides robust functions driven by the academic literature to automate the calculation of relevant metrics to individuals desiring to measure the performance of their trauma center or even a trauma system. 'traumar' also provides some helper functions for the data analysis journey. Users can refer to the following publications for descriptions of the methods used in 'traumar'. TRISS methodology, including probability of survival, and the W, M, and Z Scores - Flora (1978) <doi:10.1097/00005373-197810000-00003>, Boyd et al. (1987, PMID:3106646), Llullaku et al. (2009) <doi:10.1186/1749-7922-4-2>, Singh et al. (2011) <doi:10.4103/0974-2700.86626>, Baker et al. (1974, PMID:4814394), and Champion et al. (1989) <doi:10.1097/00005373-198905000- [...truncated...]
Author: Nicolas Foss [aut, cre], Iowa Department of Health and Human Services [cph]
Maintainer: Nicolas Foss <nicolas.foss@hhs.iowa.gov>

Diff between traumar versions 1.2.5 dated 2026-04-16 and 1.2.6 dated 2026-05-07

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Package resourcecode updated to version 0.5.4 with previous version 0.5.3 dated 2026-02-06

Title: Access to the 'RESOURCECODE' Hindcast Database
Description: Utility functions to download data from the 'RESOURCECODE' hindcast database of sea-states, time series of sea-state parameters and time series of 1D and 2D wave spectra. See <https://resourcecode.ifremer.fr> for more details about the available data. Also provides facilities to plot and analyse downloaded data, such as computing the sea-state parameters from both the 1D and 2D surface elevation variance spectral density.
Author: Nicolas Raillard [aut, cre]
Maintainer: Nicolas Raillard <nicolas.raillard@ifremer.fr>

Diff between resourcecode versions 0.5.3 dated 2026-02-06 and 0.5.4 dated 2026-05-07

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Package ameras updated to version 0.3.0 with previous version 0.2.0 dated 2026-04-26

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 <sander.roberti@nih.gov>

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Package textreuse updated to version 1.0.1 with previous version 0.1.5 dated 2020-05-15

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 0.1.5 dated 2020-05-15 and 1.0.1 dated 2026-05-07

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Package promor readmission to version 0.2.3 with previous version 0.2.2 dated 2025-11-11

Title: Proteomics Data Analysis and Modeling Tools
Description: A comprehensive, user-friendly package for label-free proteomics data analysis and machine learning-based modeling. Data generated from 'MaxQuant' can be easily used to conduct differential expression analysis, build predictive models with top protein candidates, and assess model performance. promor includes a suite of tools for quality control, visualization, missing data imputation (Lazar et. al. (2016) <doi:10.1021/acs.jproteome.5b00981>), differential expression analysis (Ritchie et. al. (2015) <doi:10.1093/nar/gkv007>), and machine learning-based modeling (Kuhn (2008) <doi:10.18637/jss.v028.i05>).
Author: Chathurani Ranathunge [aut, cre, cph]
Maintainer: Chathurani Ranathunge <caranathunge86@gmail.com>

This is a re-admission after prior archival of version 0.2.2 dated 2025-11-11

Diff between promor versions 0.2.2 dated 2025-11-11 and 0.2.3 dated 2026-05-07

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Permanent link

Package pensynth updated to version 0.8.2 with previous version 0.8.1 dated 2025-10-13

Title: Penalized Synthetic Control Estimation
Description: Estimate penalized synthetic control models and perform hold-out validation to determine their penalty parameter. This method is based on the work by Abadie & L'Hour (2021) <doi:10.1080/01621459.2021.1971535>. Penalized synthetic controls smoothly interpolate between one-to-one matching and the synthetic control method.
Author: Erik-Jan van Kesteren [cre, aut] , Isaac Slaughter [ctb]
Maintainer: Erik-Jan van Kesteren <erikjanvankesteren@pm.me>

Diff between pensynth versions 0.8.1 dated 2025-10-13 and 0.8.2 dated 2026-05-07

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Permanent link

Package ibkrcp updated to version 0.1.1 with previous version 0.1.0 dated 2026-05-06

Title: R Client for the Interactive Brokers Client Portal API
Description: Provides a lightweight R interface to the Interactive Brokers (IBKR) Client Portal REST API. Functions cover session management, account and portfolio queries, market data retrieval, and order placement and cancellation. Requires a locally running IBKR Client Portal Gateway.
Author: Nagappan Karuppiah [aut, cre]
Maintainer: Nagappan Karuppiah <sactyr@gmail.com>

Diff between ibkrcp versions 0.1.0 dated 2026-05-06 and 0.1.1 dated 2026-05-07

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Package AntClassify updated to version 0.2.1 with previous version 0.1.0 dated 2026-04-09

Title: Functional Guilds, Invasion Status, Endemism, and Rarity of Ants
Description: Provides functions for the analysis of ant communities, aiming to standardize workflows in myrmecology. The package automates the assignment of species to functional guilds based on trophic strategies, feeding habits, and foraging behavior, using established classification frameworks (Silva et al., 2015 <doi:10.7476/9788574554419>; Silvestre et al., 2003 <isbn:9588151236>; Delabie et al., 2000 <https://www.researchgate.net/publication/44961742_Sampling_Ground-Dwelling_Ants_Case_Studies_from_the_World%27s_Rain_Forests>), and also includes a novel classification system implemented within the package, developed from ant species occurring in urban environments. It also includes routines to flag exotic species of Brazil (Vieira, 2025, unpublished master's thesis), identify endemic species (Silva et al., 2025 <doi:10.37885/250920259>), and classify species rarity and rarity forms of the Atlantic Forest (Silva et al., 2024 <doi:10.1016/j.biocon.2024.110640>). The [...truncated...]
Author: Debora C. O. Goncalves [aut, cre], Nathalia S. Silva [aut], Rony P. S. Almeida [aut], Livia P. Prado [aut], Maria S. C. Morini [aut]
Maintainer: Debora C. O. Goncalves <debora_cog@outlook.com>

Diff between AntClassify versions 0.1.0 dated 2026-04-09 and 0.2.1 dated 2026-05-07

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Package matrixCorr (with last version 0.11.1) was removed from CRAN

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

2026-04-18 0.11.1
2026-04-03 0.10.0
2026-03-20 0.8.5
2026-03-03 0.8.4
2025-12-22 0.8.3
2025-12-03 0.7.2
2025-11-15 0.6.2
2025-09-22 0.5.1
2025-08-26 0.3.1

Permanent link
Package dcifer updated to version 1.5.2 with previous version 1.5.0 dated 2025-11-11

Title: Genetic Relatedness Between Polyclonal Infections
Description: An implementation of Dcifer (Distance for complex infections: fast estimation of relatedness), an identity by descent (IBD) based method to calculate genetic relatedness between polyclonal infections from biallelic and multiallelic data. The package includes functions that format and preprocess the data, implement the method, and visualize the results. Gerlovina et al. (2022) <doi:10.1093/genetics/iyac126>.
Author: Inna Gerlovina [aut, cre]
Maintainer: Inna Gerlovina <innager@berkeley.edu>

Diff between dcifer versions 1.5.0 dated 2025-11-11 and 1.5.2 dated 2026-05-07

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Package mwTensor updated to version 1.2.2 with previous version 1.1.0 dated 2023-07-06

Title: Multi-Way Component Analysis
Description: For single tensor data, any matrix factorization method can be specified the matricised tensor in each dimension by Multi-way Component Analysis (MWCA). An originally extended MWCA is also implemented to specify and decompose multiple matrices and tensors simultaneously (CoupledMWCA). See the reference section of GitHub README.md <https://github.com/rikenbit/mwTensor>, for details of the methods.
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

Diff between mwTensor versions 1.1.0 dated 2023-07-06 and 1.2.2 dated 2026-05-07

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Package ggblanket updated to version 20.0.0 with previous version 12.4.0 dated 2025-06-03

Title: Publication-Quality 'ggplot2' Visualisation
Description: Wrapper 'ggplot2' functions for publication-quality visualisation. Aligned with 'ggplot2' and 'tidyverse'. Covers much of what 'ggplot2' does.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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Package cgmguru updated to version 0.2.0 with previous version 0.1.0 dated 2025-11-05

Title: Advanced Continuous Glucose Monitoring Analysis with High-Performance C++ Backend
Description: Tools for advanced analysis of continuous glucose monitoring (CGM) time-series, implementing GRID (Glucose Rate Increase Detector) and GRID-based algorithms for postprandial peak detection, and detection of hypoglycemic and hyperglycemic episodes (Levels 1/2/Extended) aligned with international consensus CGM metrics. Core algorithms are implemented in optimized C++ using 'Rcpp' to provide accurate and fast analysis on large datasets.
Author: Sang Ho Park [aut, cre], Rosa Oh [aut, ctb], Sang-Man Jin [aut, ctb]
Maintainer: Sang Ho Park <shstat1729@gmail.com>

Diff between cgmguru versions 0.1.0 dated 2025-11-05 and 0.2.0 dated 2026-05-07

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Package lmtp updated to version 1.5.4 with previous version 1.5.3 dated 2025-07-24

Title: Non-Parametric Causal Effects of Feasible Interventions Based on Modified Treatment Policies
Description: Non-parametric estimators for casual effects based on longitudinal modified treatment policies as described in Diaz, Williams, Hoffman, and Schenck <doi:10.1080/01621459.2021.1955691>, traditional point treatment, and traditional longitudinal effects. Continuous, binary, categorical treatments, and multivariate treatments are allowed as well are censored outcomes. The treatment mechanism is estimated via a density ratio classification procedure irrespective of treatment variable type. For both continuous and binary outcomes, additive treatment effects can be calculated and relative risks and odds ratios may be calculated for binary outcomes. Supports survival outcomes with competing risks (Diaz, Hoffman, and Hejazi; <doi:10.1007/s10985-023-09606-7>).
Author: Nicholas Williams [aut, cre, cph] , Ivan Diaz [aut, cph] , Beaudan Campbell-Brown [ctb]
Maintainer: Nicholas Williams <ntwilliams.personal@gmail.com>

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