Wed, 30 Sep 2026

Package xtrec updated to version 1.0.1 with previous version 1.0.0 dated 2026-03-29

Title: Panel Unit Root Test Based on Recursive Detrending
Description: Implements the recursively detrended panel unit root tests proposed by Westerlund (2015) <doi:10.1016/j.jeconom.2014.06.015>. Two variants are provided: the basic t-REC test assuming iid errors, and the robust t-RREC test that accounts for serial correlation, cross-sectional dependence, and heteroskedasticity via defactoring and BIC-selected lag augmentation. Both tests have a standard normal null distribution requiring no mean or variance correction. The panel must be strongly balanced.
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>

Diff between xtrec versions 1.0.0 dated 2026-03-29 and 1.0.1 dated 2026-09-30

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Package xtbreakcoint updated to version 1.0.6 with previous version 1.0.4 dated 2026-03-16

Title: Panel Cointegration Tests with Structural Breaks
Description: Implements panel cointegration tests allowing for structural breaks and cross-section dependence following the methodology of Banerjee and Carrion-i-Silvestre (2015) <doi:10.1002/jae.2348>. The package provides iterative factor-break estimation, individual ADF tests on defactored residuals, standardized panel test statistics, and the Bai and Ng (2004) <doi:10.1111/j.1468-0262.2004.00528.x> MQ test for identifying common stochastic trends. Supports five model specifications with varying deterministic components and break structures.
Author: Muhammad Alkhalaf [aut, cre, cph] , Anindya Banerjee [ctb] , Josep Lluis Carrion-i-Silvestre [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>

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Package WeightIt updated to version 2.1.0 with previous version 2.0.0 dated 2026-08-03

Title: Weighting for Covariate Balance in Observational Studies
Description: Generates balancing weights for causal effect estimation in observational studies with binary, multi-category, or continuous point or longitudinal treatments by easing and extending the functionality of several R packages and providing in-house estimation methods. Available methods include those that rely on parametric modeling, optimization, and machine learning. Also allows for assessment of weights and checking of covariate balance by interfacing directly with the 'cobalt' package. Methods for estimating weighted regression models that take into account uncertainty in the estimation of the weights via M-estimation or bootstrapping are available. See the vignette "Installing Supporting Packages" for instructions on how to install any optional package 'WeightIt' uses, including those that may not be on CRAN.
Author: Noah Greifer [aut, cre, cph]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

Diff between WeightIt versions 2.0.0 dated 2026-08-03 and 2.1.0 dated 2026-09-30

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Package vrpr updated to version 0.2.1 with previous version 0.2.0 dated 2026-09-28

Title: Vehicle Routing Problem Solver Built on 'PyVRP'
Description: A 'tidyverse'-style interface to high-performance vehicle routing problem (VRP) solving. Vendors the C++ core of the 'PyVRP' solver (<https://github.com/PyVRP/PyVRP>) and rewires it through 'cpp11', with no 'Python' runtime dependency. Supports the capacitated VRP, time windows, multiple depots, heterogeneous fleets, prize-collecting and multi-trip variants, driven by an iterated local search metaheuristic.
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut] , Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Julia Nascimento Barreto [aut] , Niels Wouda [ctb, cph] , Thibaut Vidal [cph] , ORTEC [cph]
Maintainer: Andre Leite <leite@castlab.org>

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Package underdisp updated to version 0.1.2 with previous version 0.1.1 dated 2026-09-28

Title: Diagnostics and Models for Underdispersed Count Data
Description: Tools for detecting and modeling underdispersion in count data (conditional variance below the conditional mean), the case the Poisson and negative binomial defaults cannot represent. Provides a screening diagnostic that benchmarks at-risk dispersion against a zero-truncated Poisson, regression-adjusted tests of equidispersion, and a dispersion profile that compares the variance-to-mean curves of competing families against the data; the continuous parameter binomial (CPB) and generalized event count (Katz) regressions with zero-truncated, hurdle, and zero-inflated forms and high-dimensional fixed effects with a split-panel jackknife bias correction; matched Poisson, negative binomial, COM-Poisson (rate- and mean-parameterized), generalized Poisson, gamma-count, and double Poisson regressions through the same interface, with frequency weights, offsets, and analytic, robust, and cluster-robust standard errors; bootstrap and profile-likelihood inference; proper scoring rules, rootograms, [...truncated...]
Author: Benjamin E. Bagozzi [aut, cre]
Maintainer: Benjamin E. Bagozzi <bagozzib@udel.edu>

Diff between underdisp versions 0.1.1 dated 2026-09-28 and 0.1.2 dated 2026-09-30

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Package taxify updated to version 0.6.0 with previous version 0.5.5 dated 2026-09-18

Title: Offline Taxonomic Name Matching Against Darwin Core Backbones
Description: Match taxonomic names against locally stored Darwin Core backbone databases ('WFO', 'COL', 'GBIF', 'ITIS', 'NCBI Taxonomy', 'Open Tree of Life', 'WoRMS', 'Euro+Med', 'Species Fungorum', 'AlgaeBase', 'FishBase', 'SeaLifeBase', 'Reptile Database', 'LCVP', 'WCVP', 'Mammal Diversity Database', 'AviList', 'LPSN'). Provides offline fuzzy and exact matching with synonym resolution, hybrid name detection, and a unified output schema across all sources. All heavy computation runs in the 'vectra' C11 columnar engine.
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package staat1cho updated to version 0.2.0 with previous version 0.1.0 dated 2026-05-18

Title: Study Indicators Based on Dutch Higher Education Data (1CHO)
Description: Calculates enrolment, graduation, dropout, and programme-switch indicators from the Dutch higher education registration data (1CHO) supplied by DUO. Includes an interactive 'Shiny' dashboard for exploring results.
Author: Aslam Tanjung [aut, cre], Veerle van Son [aut], Damiette Bakx-van den Brink [aut]
Maintainer: Aslam Tanjung <aslam.tanjung@surf.nl>

Diff between staat1cho versions 0.1.0 dated 2026-05-18 and 0.2.0 dated 2026-09-30

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Package serad updated to version 0.2.5 with previous version 0.2.4 dated 2026-09-03

Title: Standardized Economic Reporting and Automated Dynamic Writing / Synthèse d'Écrits Avec des Règles Automatisées et Dynamiques
Description: Provides tools for generating dynamic and standardized economic narratives in R Markdown documents. The package is primarily designed for French-language statistical and economic publications. It includes functions to describe changes in levels, percentages, trends, accelerations and short-term economic developments using consistent linguistic rules. The package supports automated reporting workflows and reproducible economic writing. Fournit des outils permettant de générer des textes économiques dynamiques et standardisés dans des documents R Markdown. Le package est principalement conçu pour les publications statistiques et économiques en français. Il propose des fonctions permettant de décrire les évolutions de niveaux, de pourcentages, de tendances, d'accélérations et les évolutions conjoncturelles à l'aide de règles linguistiques homogènes. Le package facilite l'automatisation de la rédaction et la reproductibilité des publications économiques.
Author: Alexandre Cazenave-Lacroutz [aut] , Jules Lejas [cre], Direction de l'animation de la recherche, des etudes et des statistiques [cph]
Maintainer: Jules Lejas <jules.lejas@gmail.com>

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Package qadf updated to version 1.0.2 with previous version 1.0.0 dated 2026-03-20

Title: Quantile Autoregressive Distributed Lag Unit Root Test
Description: Implements the Quantile Autoregressive Distributed Lag (QADF) unit root test proposed by Koenker and Xiao (2004) <doi:10.1198/016214504000001114>. The test examines unit root behaviour across the conditional distribution of a time series using quantile regression, providing a richer characterisation of persistence than standard ADF tests. Critical values follow Hansen (1995) <doi:10.1017/S0266466600009993>. Lag order selection is supported via AIC, BIC, or the t-statistic sequential testing approach.
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>

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Package ParBayesianOptimization readmission to version 1.3.0 with previous version 1.2.6 dated 2022-10-18

Title: Parallel Bayesian Optimization of Hyperparameters
Description: Fast, flexible framework for implementing Bayesian optimization of model hyperparameters according to the methods described in Snoek et al. (2012) <doi:10.48550/arXiv.1206.2944>. The package allows the user to run scoring function in parallel, save intermediary results, and tweak other aspects of the process to fully utilize the computing resources available to the user.
Author: Novica Nakov [cre], Samuel Wilson [aut]
Maintainer: Novica Nakov <nnovica@gmail.com>

This is a re-admission after prior archival of version 1.2.6 dated 2022-10-18

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Package inti updated to version 0.7.5 with previous version 0.7.4 dated 2026-09-06

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] , Victor-Hugo Baldera-Chaponan [aut] , Maria Belen Kistner [ctb] , QuipoLab [ctb], Inkaverse [cph]
Maintainer: Flavio Lozano-Isla <flozanoisla@gmail.com>

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Package huito updated to version 0.2.8 with previous version 0.2.7 dated 2026-08-21

Title: Reproducible and Flexible Label Design
Description: An open-source R package to deploys reproducible and flexible labels using layers. The 'huito' package is part of the 'inkaverse' project for developing different procedures and tools used in plant science and experimental designs. Learn more about the 'inkaverse' project at <https://inkaverse.com/>.
Author: Flavio Lozano-Isla [aut, cre] , Victor-Hugo Baldera-Chaponan [aut] , Inkaverse [cph]
Maintainer: Flavio Lozano-Isla <flozanoisla@gmail.com>

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Package gcf updated to version 0.1.1 with previous version 0.1.0 dated 2026-09-26

Title: Generalized Covariate Field
Description: Generates generalized covariate field (GCF) variables from spatial covariates observed at projected coordinates, and selects a stable subset of them for geospatial prediction. For each input covariate the method builds spatial-pattern features (local indicator of spatial association, local Geary's c, log local variance, rank quantile entropy, geocomplexity, log scale variance, local variogram exponent, and signed z-score and median absolute deviation outlier strengths over a series of buffer radii) and neighbourhood-distribution features (buffer-wise quantiles of the covariate values surrounding each location), reduces the buffer and quantile sweeps to a compact set of interpretable functional summaries, and selects variables by random forest importance combined with spatial-block stability resampling and group voting. The GCF method is positioned as prediction-oriented feature construction: its output feeds any downstream regression learner. Methods are described in Song (2026) <do [...truncated...]
Author: Yongze Song [aut, cre, cph]
Maintainer: Yongze Song <yongze.song@outlook.com>

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Package fqardl updated to version 1.0.6 with previous version 1.0.5 dated 2026-09-28

Title: Fourier ARDL Methods: Quantile, Nonlinear, Multi-Threshold & Unit Root Tests
Description: Comprehensive implementation of advanced ARDL methodologies for cointegration analysis with structural breaks and asymmetric effects. Includes: (1) Fourier Quantile ARDL (FQARDL) - quantile regression with Fourier approximation for analyzing relationships across the conditional distribution; (2) Fourier Nonlinear ARDL (FNARDL) - asymmetric cointegration with partial sum decomposition following Shin, Yu & Greenwood-Nimmo (2014) <doi:10.1007/978-1-4899-8008-3_9>; (3) Multi-Threshold NARDL (MTNARDL) - multiple regime asymmetry analysis; (4) Fourier Unit Root Tests - ADF and KPSS tests with Fourier terms following Enders & Lee (2012) <doi:10.1016/j.econlet.2012.04.081> and Becker, Enders & Lee (2006) <doi:10.1111/j.1467-9892.2006.00478.x>. Features automatic lag and frequency selection, PSS bounds testing following Pesaran, Shin & Smith (2001) <doi:10.1002/jae.616>, bootstrap cointegration tests, Wald tests for asymmetry, dynamic multiplier computati [...truncated...]
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>

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Package fbardl updated to version 1.1.0 with previous version 1.0.2 dated 2026-03-12

Title: Fourier Bootstrap ARDL Cointegration Test
Description: Implements the Fourier Bootstrap Autoregressive Distributed Lag (FBARDL) bounds testing approach for cointegration analysis. Combines the Pesaran, Shin & Smith (2001) <doi:10.1002/jae.616> ARDL bounds testing framework with Fourier terms to capture structural breaks following Yilanci, Bozoklu & Gorus (2020) <doi:10.1016/j.scs.2020.102035>, and bootstrap critical values based on McNown, Sam & Goh (2018) <doi:10.1080/00036846.2017.1366643> and Bertelli, Vacca & Zoia (2022) <doi:10.1016/j.econmod.2022.105987>, with finite-sample bounds test critical values from Kripfganz and Schneider (2020) <doi:10.1111/obes.12377>. Features include automatic lag selection via AIC/BIC, optimal Fourier frequency selection by minimum SSR, long-run and short-run coefficient estimation, diagnostic tests, and dynamic multiplier analysis.
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>

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Package FAfA readmission to version 1.4 with previous version 1.2 dated 2026-08-02

Title: Factor Analysis for All
Description: Provides a comprehensive Shiny-based graphical user interface for conducting a wide range of factor analysis procedures. 'FAfA' (Factor Analysis for All) guides users through data uploading, assumption checking (descriptives, collinearity, multivariate normality, outliers), data wrangling (variable exclusion, data splitting), factor retention analysis (e.g., Parallel Analysis, Hull method, EGA), Exploratory Factor Analysis (EFA) with various rotation and extraction methods, internal split-sample EFA replication analysis, Confirmatory Factor Analysis (CFA) for model testing, Reliability Analysis (e.g., Cronbach's Alpha, McDonald's Omega), Measurement Invariance testing across groups, and item weighting techniques. The application leverages established R packages such as 'lavaan' and 'psych' to perform these analyses, offering an accessible platform for researchers and students. Results are presented in user-friendly tables and plots, with options for downloading outputs. Analysis projec [...truncated...]
Author: Abdullah Faruk KILIC [aut, cre, cph], Ahmet Caliskan [aut, cph], Melissa G. Wolf [ctb, cph] , Daniel McNeish [ctb, cph] , Brian P. O'Connor [ctb, cph]
Maintainer: Abdullah Faruk KILIC <afarukkilic@trakya.edu.tr>

This is a re-admission after prior archival of version 1.2 dated 2026-08-02

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Package enrichwith updated to version 0.6 with previous version 0.5.0 dated 2026-04-29

Title: Methods to Enrich R Objects with Extra Components
Description: Provides the "enrich()" method for augmenting list-like R objects with additional, model-specific components. Methods are currently available for objects of class "family", "link-glm", "lm", "glm", and "betareg". Enriched objects retain their original class and remain compatible with existing methods. For example, enriching a "glm" object produces an "enriched_glm" object that also inherits from "glm". In addition to the standard components, the "enriched_glm" object includes methods for simulation and functions to compute scores, observed and expected information matrices, first-order bias, and other model quantities such as densities, probabilities, and quantiles, which can be evaluated at use-supplied parameter values. The package also provides tools for generating customizable source code templates for the structured implementation of methods to compute new components and enrich arbitrary objects.
Author: Ioannis Kosmidis [aut, cre]
Maintainer: Ioannis Kosmidis <ioannis.kosmidis@warwick.ac.uk>

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Package easybgm updated to version 0.5.1 with previous version 0.5.0 dated 2026-09-10

Title: Extracting and Visualizing Bayesian Graphical Models
Description: Fit and visualize the results of a Bayesian analysis of networks commonly found in psychology. The package supports cross-sectional network models for ordinal, binary, continuous, and mixed data, fitted using the packages 'bgms' (default), 'BDgraph', and 'BGGM', as well as network comparison tests fitted using the packages 'bgms' and 'BGGM'. The package provides the parameter estimates, posterior inclusion probabilities, inclusion Bayes factor, and the posterior density of the parameters. In addition, for 'BDgraph' and 'bgms' it allows to assess the posterior structure space. Furthermore, the package comes with an extensive suite for visualizing results.
Author: Karoline Huth [aut, cre] , Sara Keetelaar [ctb], Nikola Sekulovski [ctb], Gali Geller [ctb]
Maintainer: Karoline Huth <k.huth@uva.nl>

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Package crawlee updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-03

Title: Tidy Interface for Reproducible Web Crawling
Description: A tidy, pipe-friendly toolkit for reproducible web crawling and structured data collection, inspired by the architecture of the 'Crawlee' library. Provides a unified crawler with a deduplicating, resumable request queue, content-type aware handlers, structured storage backends and rich console logging via 'cli'. Supports crawling HTML pages, sitemaps, RSS and Atom feeds and PDF documents, with optional headless-browser rendering and helpers for retrieval-augmented generation.
Author: Andre Leite [aut, cre], Marcos Wasiliew [aut] , Hugo Vasconcelos [aut], Carlos Amorim [aut], Diogo Bezerra [aut], Julia Nascimento Barreto [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Package couplr updated to version 1.8.0 with previous version 1.7.1 dated 2026-09-16

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>

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Package confoundvis updated to version 0.2.0 with previous version 0.1.0 dated 2026-03-30

Title: Visualization Tools for Sensitivity Analysis of Unmeasured Confounding
Description: Visualization and reporting tools for sensitivity analysis to unmeasured confounding in observational studies. A common 'confoundsens' object stores a sensitivity path (the treatment effect as a function of hypothetical confounder strength) regardless of the framework that produced it, so the same robustness curves, contour plots, covariate benchmark ("sensitivity Love") plots, and plain-language reports can be drawn for impact threshold analysis (Frank, 2000, <doi:10.1177/0049124100029002001>), partial R-squared omitted-variable bias analysis (Cinelli and Hazlett, 2020, <doi:10.1111/rssb.12348>), and E-values (VanderWeele and Ding, 2017, <doi:10.7326/M16-2607>). Paths can be computed directly from fitted linear models or converted from results produced by the 'sensemakr', 'konfound', and 'EValue' packages.
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>

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Package caustests updated to version 1.1.4 with previous version 1.1.1 dated 2026-04-05

Title: Multiple Granger Causality Tests for Time Series and Panel Data
Description: Comprehensive suite of Granger causality tests for time series and panel data. For time series: Toda-Yamamoto (1995) <doi:10.1016/0304-4076(94)01616-8>, Fourier-based tests with single frequency (Enders and Jones, 2016) <doi:10.1515/snde-2014-0101> and cumulative frequencies (Nazlioglu et al., 2019) <doi:10.1080/1540496X.2018.1434072>, quantile causality tests (Cai et al., 2023) <doi:10.1016/j.frl.2023.104327>, and Bootstrap Fourier Granger Causality in Quantiles (Cheng et al., 2021) <doi:10.1007/s12076-020-00263-0>. For panel data: Panel Fourier Toda-Yamamoto (Yilanci and Gorus, 2020) <doi:10.1007/s11356-020-10092-9> and Panel Quantile Causality tests (Wang and Nguyen, 2022) <doi:10.1080/1331677X.2021.1948436>, as well as Group-Mean and Pooled Fully Modified OLS estimators for panel cointegrating polynomial regressions (Wagner and Reichold, 2023) <doi:10.1080/07474938.2023.2178141>. All tests include bootstrap inference for robust p-valu [...truncated...]
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>

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Package ardlverse updated to version 2.0.3 with previous version 2.0.2 dated 2026-09-28

Title: Comprehensive ARDL: Panel, Bootstrap and Fourier Methods
Description: A unified framework for Autoregressive Distributed Lag (ARDL) modeling and cointegration analysis. Implements Panel ARDL with Pooled Mean Group (PMG), Mean Group (MG), and Dynamic Fixed Effects (DFE) estimators following Pesaran, Shin and Smith (1999) <doi:10.1080/01621459.1999.10474156>. Provides bootstrap-based bounds testing per Pesaran, Shin & Smith (2001) <doi:10.1002/jae.616>. Includes Quantile Nonlinear ARDL (QNARDL) combining distributional and asymmetric effects based on Shin, Yu & Greenwood-Nimmo (2014) <doi:10.1007/978-1-4899-8008-3_9>, and Fourier ARDL for modeling smooth structural breaks following Enders & Lee (2012) <doi:10.1016/j.econlet.2012.04.081>. Features include Augmented ARDL (AARDL) with deferred t and F tests, Multiple-Threshold NARDL for complex asymmetries, Rolling/Recursive ARDL for time-varying relationships, and Panel NARDL for nonlinear panel cointegration. All methods include comprehensive diagnostics, publication-read [...truncated...]
Author: Muhammad Abdullah Alkhalaf [aut, cre] , Yeleazar Levchenko [ctb] )
Maintainer: Muhammad Abdullah Alkhalaf <muhammedalkhalaf@gmail.com>

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Package svySE updated to version 0.3.0 with previous version 0.2.1 dated 2026-07-31

Title: Sampling Error Estimation for Complex Surveys
Description: Estimates sampling errors and produces indicator tables for complex survey data. Supports weighted totals, proportions, standard errors, confidence intervals (Wald or logit-transformed for proportions), coefficients of variation, design effects, unweighted frequencies, grouped estimates, domain estimates, optional stratification and clustering variables, and customizable exports to '.xlsx' files. Survey estimation is based on design-based inference using Taylor series linearization implemented in the 'survey' package (Lumley, 2004, <doi:10.18637/jss.v009.i08>; Lumley, 2010, ISBN:9780470284308). The package provides a reproducible workflow for official statistics, household surveys, and applied survey research.
Author: Luis Burgos [aut, cre]
Maintainer: Luis Burgos <lburgoss1996@gmail.com>

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Package staggR updated to version 0.2.2 with previous version 0.2.1 dated 2026-09-22

Title: Fit Difference-in-Differences Models with Staggered Interventions
Description: Fits linear difference-in-differences models in scenarios where intervention roll-outs are staggered over time. The package implements a version of an approach proposed by Sun and Abraham (2021) <doi:10.1016/j.jeconom.2020.09.006> to estimate cohort- and time-since-treatment specific difference-in-differences parameters, and it provides convenience functions both for specifying the model and for flexibly aggregating coefficients to answer a variety of research questions.
Author: Kyle Hart [aut, cre, cph] , Stephan Lindner [aut]
Maintainer: Kyle Hart <hartky@ohsu.edu>

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Package R.matlab updated to version 3.8.1 with previous version 3.8.0 dated 2026-09-09

Title: Read and Write MAT Files and Call MATLAB from Within R
Description: Methods readMat() and writeMat() for reading and writing MAT files. For users with MATLAB v6 or newer installed (either locally or on a remote host), the package also provides methods for controlling MATLAB (trademark) via R and sending and retrieving data between R and MATLAB.
Author: Henrik Bengtsson [aut, cre, cph] , Andy Jacobson [ctb] , Jason Riedy [ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package poweRbal updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-15

Title: Phylogenetic Tree Models and the Power of Tree Shape Statistics
Description: The first goal of this package is to provide a multitude of tree models, i.e., functions that generate rooted binary trees with a given number of leaves. Second, the package allows for an easy evaluation and comparison of tree shape statistics by estimating their power to differentiate between different tree models. Please note that this R package was developed alongside the manuscript 'Tree balance in phylogenetic models' by S. J. Kersting, K. Wicke, and M. Fischer (2025) <doi:10.1098/rstb.2023.0303>, which provides further background and the respective mathematical definitions. This project was supported by the project ArtIGROW, which is a part of the WIR!-Alliance ArtIFARM – Artificial Intelligence in Farming funded by the German Federal Ministry of Education and Research (No. 03WIR4805).
Author: Sophie Kersting [aut, cre] , Kristina Wicke [aut] , Mareike Fischer [aut]
Maintainer: Sophie Kersting <sophie.kersting@uni-greifswald.de>

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Package modisfast updated to version 2.0.0 with previous version 1.0.2 dated 2025-07-17

Title: Fast and Efficient Access to MODIS Earth Observation Data
Description: Programmatic interface to several NASA Earth Observation 'OPeNDAP' servers (Open-source Project for a Network Data Access Protocol) (<https://www.opendap.org/>). Allows for easy downloads of MODIS subsets, as well as other Earth Observation datacubes, in a time-saving and efficient way : by sampling it at the very downloading phase (spatially, temporally and dimensionally).
Author: Paul Taconet [aut, cre, cph] , Nicolas Moiroux [fnd] , French National Research Institute for Sustainable Development, IRD [fnd]
Maintainer: Paul Taconet <paul.taconet@gmail.com>

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Package deltabreedquery updated to version 1.0.4 with previous version 1.0.3 dated 2026-08-25

Title: Fast, Simple API Tools for Retrieving Data from 'DeltaBreed'
Description: Simplified data retrieval from the 'DeltaBreed' breeding data management platform (<https://sandbox.breedinginsight.net/>) via the 'BrAPI' open-source breeding data API (<https://brapi.org/specification>). Each of the four main data types stored in 'DeltaBreed' (germplasm, trait variables, experiments/environments, and observations) are handled by a get_datatype() function that constructs and executes the request, handles paginated responses, and parses the retrieved data. Responses are reformatted into a consistent, R-friendly data frame format that resembles how the data appears on the 'DeltaBreed' web interface as closely as possible.
Author: Tyr Wiesner-Hanks [aut, cre]
Maintainer: Tyr Wiesner-Hanks <twiesnerhanks@ufl.edu>

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Package coin updated to version 1.4-6 with previous version 1.4-5 dated 2026-07-10

Title: Conditional Inference Procedures in a Permutation Test Framework
Description: Conditional inference procedures for the general independence problem including two-sample, K-sample (non-parametric ANOVA), correlation, censored, ordered and multivariate problems described in <doi:10.18637/jss.v028.i08>.
Author: Torsten Hothorn [aut, cre] , Henric Winell [aut] , Kurt Hornik [aut] , Mark A. van de Wiel [aut] , Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package yrnd updated to version 0.1.7 with previous version 0.1.6 dated 2026-08-28

Title: Extracts Risk Neutral Densities of Prices, Money Market Rates and Government Bond Yields from Interest Rates Futures Options Prices
Description: Provides with parametric Risk Neutral Densities (RNDs) and cumulative densities of futures prices on fixed-income products. It relies on options on Short Term Interest Rate futures or options on government bond futures. It models the futures price at options' maturity as a mixture of lognormal densities. Leveraging on this, the package provides with the RNDs and cumulative densities of the money market rate or the government bond yield inferred from the futures price, using the RND of the futures price. The package also extracts from options prices on bond futures in one go the RND of the cheapest-to-deliver (ctd) bond repo rate from options' to futures' maturity and the RND of the ctd bond yield at options' maturity. The package also provides with the probability attached to each bond in the delivery basket of a government bond futures to be the cheapest at options' maturity from an examination of either the implied repo rate or the net basis of bonds in the delivery basket. At last, [...truncated...]
Author: William Arrata [aut, cre]
Maintainer: William Arrata <william.arrata@gmail.com>

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Package spatialrisk updated to version 0.8.3 with previous version 0.8.2 dated 2026-09-01

Title: Spatial Concentration and Radius-Based Risk Calculations
Description: Provides computational building blocks for fixed-radius spatial aggregation, weighted circle-placement problems, hotspot detection, and polygon-based spatial summaries. The package focuses on efficient determination of the sum of observations within a given radius, identifying areas of high local concentration, and aggregating point data to polygon geometries. These methods are useful for applications such as insurance, urban analytics, environmental exposure analysis, and other spatial point pattern workflows. The fixed-radius circle placement problem is discussed by Chazelle and Lee (1986) <doi:10.1007/BF02238188>, and related maximum covering problems are described by Church (1974) <doi:10.1007/BF01942293>.
Author: Martin Haringa [aut, cre]
Maintainer: Martin Haringa <mtharinga@gmail.com>

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Package rtpcr updated to version 2.2.0 with previous version 2.1.9 dated 2026-08-21

Title: qPCR Data Analysis
Description: Tools for qPCR data analysis using Delta Ct and Delta Delta Ct methods, including t-test, Wilcoxon-test, ANOVA models, and publication-ready visualizations. The package supports multiple target, and multiple reference genes, and uses a calculation framework adopted from Ganger et al. (2017) <doi:10.1186/s12859-017-1949-5> and Taylor et al. (2019) <doi:10.1016/j.tibtech.2018.12.002>, covering both the Livak and Pfaffl methods.
Author: Ghader Mirzaghaderi [aut, cre, cph]
Maintainer: Ghader Mirzaghaderi <mirzaghaderi@gmail.com>

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Package RcppFastFloat updated to version 0.0.6 with previous version 0.0.5 dated 2025-01-15

Title: 'Rcpp' Bindings for the 'fast_float' Header-Only Library for Number Parsing
Description: Converting ascii text into (floating-point) numeric values is a very common problem. The 'fast_float' header-only 'C++' library by Daniel Lemire does it very well and very fast at up to or over to 1 gigabyte per second as described in more detail in <doi:10.1002/spe.2984>. 'fast_float' is licensed under the Apache 2.0 license and provided here for use by other R packages via a simple 'LinkingTo:' statement.
Author: Dirk Eddelbuettel [aut, cre] , Brendan Knapp [aut] , Daniel Lemire [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package modeltools updated to version 0.2-25 with previous version 0.2-24 dated 2025-05-02

Title: Tools and Classes for Statistical Models
Description: A collection of tools to deal with statistical models. The functionality is experimental and the user interface is likely to change in the future. The documentation is rather terse, but packages `coin' and `party' have some working examples. However, if you find the implemented ideas interesting we would be very interested in a discussion of this proposal. Contributions are more than welcome!
Author: Torsten Hothorn [aut, cre] , Friedrich Leisch [aut] , Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package IndexConstruction updated to version 0.2-1 with previous version 0.1-3 dated 2020-06-02

Title: Index Construction for Time Series Data
Description: Derivation of indexes for benchmarking purposes. A methodology with flexible number of constituents is implemented. Also functions for market capitalization and volume weighted indexes with fixed number of constituents are available. The main function of the package, indexComp(), provides the derived index, suitable for analysis purposes. The functions indexUpdate(), indexMemberSelection() and indexMembersUpdate() are components of indexComp() and enable one to construct and continuously update an index, e.g. for display on a website. The methodology behind the functions provided gets introduced in Trimborn and Haerdle (2018) <doi:10.1016/j.jempfin.2018.08.004>.
Author: Simon Trimborn [aut, cre]
Maintainer: Simon Trimborn <trimborn.econometrics@gmail.com>

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Package ggpop updated to version 1.9.0 with previous version 1.8.0 dated 2026-08-23

Title: Icon-Based Population Charts and Plots for 'ggplot2'
Description: Create engaging population charts and point plots in R. 'ggpop' allows users to represent population data and points proportionally using customizable icons, facilitating the creation of circular representative population charts as well as any point-plots.
Author: Jorge A. Roa-Contreras [aut, cre] , Ralitza Soultanova [aut] , Fernando Alarid-Escudero [aut] , Carlos Pineda-Antunez [aut]
Maintainer: Jorge A. Roa-Contreras <jorgeroa@stanford.edu>

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Package datadiff updated to version 0.6.1 with previous version 0.6.0 dated 2026-07-12

Title: Data Validation Based on 'YAML' Rules
Description: A comprehensive data validation package that allows comparing datasets using configurable validation rules defined in 'YAML' files. Built on top of the 'pointblank' package for robust data validation, it supports exact matching, tolerance-based numeric comparisons, text normalization, and row count validation.
Author: Vincent Guyader [cre, aut] , ThinkR [cph], Agence technique de l'information sur l'hospitalisation [spn]
Maintainer: Vincent Guyader <vincent@thinkr.fr>

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Package bayesics updated to version 3.1.0 with previous version 3.0.2 dated 2026-08-28

Title: Bayesian Analyses for One- and Two-Sample Inference and Regression Methods
Description: Perform fundamental analyses using Bayesian parametric and non-parametric inference (regression, anova, 1 and 2 sample inference, non-parametric tests, etc.). (Practically) no Markov chain Monte Carlo (MCMC) is used; all exact finite sample inference is completed via closed form solutions or else through posterior sampling automated to ensure precision in interval estimate bounds. Diagnostic plots for model assessment, and key inferential quantities (point and interval estimates, probability of direction, region of practical equivalence, and Bayes factors) and model visualizations are provided. Bayes factors are computed either by the Savage Dickey ratio given in Dickey (1971) <doi:10.1214/aoms/1177693507> or by Chib's method as given in <doi:10.1080/01621459.1995.10476635>. Interpretations are from Kass and Raftery (1995) <doi:10.1080/01621459.1995.10476572>. ROPE bounds are based on discussions in Kruschke (2018) <doi:10.1177/2515245918771304>. Methods for d [...truncated...]
Author: Daniel K. Sewell [aut, cre, cph] , Alan Arakkal [aut]
Maintainer: Daniel K. Sewell <daniel-sewell@uiowa.edu>

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Package attachment updated to version 1.2.0 with previous version 1.1.0 dated 2026-08-20

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

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Package tm updated to version 0.7-20 with previous version 0.7-19 dated 2026-08-13

Title: Text Mining Package
Description: A framework for text mining applications within R.
Author: Ingo Feinerer [aut] , Kurt Hornik [aut, cre] , Artifex Software, Inc. [ctb, cph]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package priorsense updated to version 1.4.0 with previous version 1.2.0 dated 2025-10-28

Title: Prior Diagnostics and Sensitivity Analysis
Description: Provides functions for prior and likelihood sensitivity analysis in Bayesian models. Currently it implements methods to determine the sensitivity of the posterior to power-scaling perturbations of the prior and likelihood.
Author: Noa Kallioinen [aut, cre] , Topi Paananen [aut] , Paul-Christian Buerkner [aut] , Aki Vehtari [aut] , Frank Weber [ctb] , Simon Taylor [rev], Dylan Dijk [rev]
Maintainer: Noa Kallioinen <noa.kallioinen@helsinki.fi>

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Package pgenlibr updated to version 0.7.0 with previous version 0.6.2 dated 2026-06-05

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

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Package nlmixr2scm updated to version 0.4.1 with previous version 0.4 dated 2026-09-24

Title: Stepwise Covariate Modeling for 'nlmixr2' Models
Description: Stepwise covariate modeling (SCM) for nonlinear mixed-effects models fitted with 'nlmixr2'. Forward inclusion and backward elimination are driven by likelihood-ratio tests, and the covariate terms are generated inside the model body, so continuous covariates are centered and categorical covariates expanded into indicator columns without editing the model by hand. Candidate fits can be cached and resumed, fitted in parallel, and reviewed through per-step and all-candidate summary tables. The approach follows Jonsson and Karlsson (1998) <doi:10.1023/A:1011970125687>, and the implementation in 'Perl-speaks-NONMEM' described by Lindbom, Ribbing and Jonsson (2004) <doi:10.1016/j.cmpb.2003.11.003>.
Author: Justin Wilkins [aut, cre, cph] , Matthew Fidler [aut] , Yaping Liu [aut] , Bill Denney [aut] , Vipul Mann [aut], Vishal Sarsani [aut] , Christian Bartels [ctb]
Maintainer: Justin Wilkins <justin.wilkins@occams.com>

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Package mvProbit updated to version 0.1-12 with previous version 0.1-10 dated 2021-01-11

Title: Multivariate Probit Models
Description: Tools for estimating multivariate probit models, calculating conditional and unconditional expectations, and calculating marginal effects on conditional and unconditional expectations.
Author: Arne Henningsen [aut, cre]
Maintainer: Arne Henningsen <arne.henningsen@gmail.com>

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Package infoxtr updated to version 0.3 with previous version 0.2 dated 2026-03-30

Title: Information-Theoretic Measures for Revealing Variable Interactions
Description: Implements information-theoretic measures to explore variable interactions, including KSG mutual information estimation for continuous variables from Kraskov et al. (2004) <doi:10.1103/PhysRevE.69.066138>, knockoff conditional mutual information described in Zhang & Chen (2025) <doi:10.1126/sciadv.adu6464>, synergistic-unique-redundant decomposition introduced by Martinez-Sanchez et al. (2024) <doi:10.1038/s41467-024-53373-4>, and information imbalance gain following Del Tatto et al. (2024) <doi:10.1073/pnas.2317256121>, allowing detection of complex and diverse relationships among variables.
Author: Wenbo Lyu [aut, cre, cph]
Maintainer: Wenbo Lyu <lyu.geosocial@gmail.com>

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Package ggtaichi updated to version 0.3.0 with previous version 0.2.0 dated 2026-08-24

Title: Taichi-Diagram Visualization for Two Data Sources
Description: A data visualization design that compares two (usually on a par with each other) data sources on one grid of taichi (yin-yang) diagrams, where the two interlocking fish of every symbol are filled by the two sources, while inheriting 'ggplot2' features.
Author: Youzhi Yu [aut, cre]
Maintainer: Youzhi Yu <yuyouzhi666@icloud.com>

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Package easysurv updated to version 2.0.3 with previous version 2.0.2 dated 2025-10-08

Title: Simplify Survival Data Analysis and Model Fitting
Description: Inspect survival data, plot Kaplan-Meier curves, assess the proportional hazards assumption, fit parametric survival models, predict and plot survival and hazards, and export the outputs to 'Excel'. A simple interface for fitting survival models using flexsurv::flexsurvreg(), flexsurv::flexsurvspline(), flexsurvcure::flexsurvcure(), and survival::survreg().
Author: Niall Davison [aut, cre] , Brad Kievit [aut], Maple Health Group, LLC [cph, fnd]
Maintainer: Niall Davison <niall.davison@maplehealthgroup.com>

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Package Certara.Xpose.NLME updated to version 2.1.0 with previous version 2.0.2 dated 2025-01-28

Title: Enhances 'xpose' Diagnostics for Pharmacometric Models from 'Certara.RsNLME' and Phoenix NLME
Description: Facilitates the creation of 'xpose' data objects from Nonlinear Mixed Effects (NLME) model outputs produced by 'Certara.RsNLME' or Phoenix NLME. This integration enables users to utilize all 'ggplot2'-based plotting functions available in 'xpose' for thorough model diagnostics and data visualization. Additionally, the package introduces specialized plotting functions tailored for covariate model evaluation, extending the analytical capabilities beyond those offered by 'xpose' alone.
Author: James Craig [aut, cre], Michael Tomashevskiy [aut], Soltanshahi Fred [aut], Shuhua Hu [ctb], Certara USA, Inc [cph, fnd]
Maintainer: James Craig <james.craig@certara.com>

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Package BradleyTerry2 updated to version 1.1.4 with previous version 1.1.3 dated 2025-04-10

Title: Bradley-Terry Models
Description: Specify and fit the Bradley-Terry model, including structured versions in which the parameters are related to explanatory variables through a linear predictor and versions with contest-specific effects, such as a home advantage.
Author: Heather Turner [aut, cre], David Firth [aut]
Maintainer: Heather Turner <ht@heatherturner.net>

Diff between BradleyTerry2 versions 1.1.3 dated 2025-04-10 and 1.1.4 dated 2026-09-30

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Package reflectR updated to version 2.2.0 with previous version 2.1.4 dated 2025-08-27

Title: Automatic Scoring of the Cognitive Reflection Test
Description: Automatic coding of open-ended responses to the Cognitive Reflection Test (CRT), a widely used class of tests in cognitive science and psychology that assess the tendency to override an initial intuitive (but incorrect) answer and engage in reflection to reach a correct solution. The package standardizes CRT response coding across datasets in cognitive psychology, decision-making, and related fields. Automated coding reduces manual effort and improves reproducibility by limiting variability from subjective interpretation of open-ended responses. The package supports automatic coding and machine scoring for the original English-language CRT (Frederick, 2005) <doi:10.1257/089533005775196732>, CRT4 and CRT7 (Toplak et al., 2014) <doi:10.1080/13546783.2013.844729>, CRT-long (Primi et al., 2016) <doi:10.1002/bdm.1883>, and CRT-2 (Thomson & Oppenheimer, 2016) <doi:10.1017/s1930297500007622>.
Author: Giuseppe Corbelli [aut, cre]
Maintainer: Giuseppe Corbelli <giuseppe.corbelli@uninettunouniversity.net>

Diff between reflectR versions 2.1.4 dated 2025-08-27 and 2.2.0 dated 2026-09-30

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Permanent link

Package OptimalBinningWoE updated to version 1.14.0 with previous version 1.13.5 dated 2026-08-31

Title: Optimal Binning and Weight of Evidence Framework for Modeling
Description: High-performance implementation of 37 optimal binning algorithms (16 categorical, 21 numerical) for Weight of Evidence ('WoE') transformation, credit scoring, and risk modeling. Includes advanced methods such as Mixed Integer Linear Programming ('MILP'), Genetic Algorithms, Simulated Annealing, and Monotonic Regression. Features automatic method selection based on Information Value ('IV') maximization, strict monotonicity enforcement, and efficient handling of large datasets via 'Rcpp'. Provides automated variable screening by Information Value strength and bin ordering, and generation of the equivalent 'SQL' 'CASE' expressions for in-database scoring. Fully integrated with the 'tidymodels' ecosystem for building robust machine learning pipelines. Based on methods described in Siddiqi (2006) <doi:10.1002/9781119201731> and Navas-Palencia (2020) <doi:10.48550/arXiv.2001.08025>.
Author: Jose Evandeilton Lopes [aut, cre, cph]
Maintainer: Jose Evandeilton Lopes <evandeilton@gmail.com>

Diff between OptimalBinningWoE versions 1.13.5 dated 2026-08-31 and 1.14.0 dated 2026-09-30

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Package GFDsurv updated to version 0.1.3 with previous version 0.1.2 dated 2026-05-14

Title: Tests for Survival Data in General Factorial Designs
Description: Implemented are three Wald-type statistic and respective permuted versions for null hypotheses formulated in terms of cumulative hazard rate functions, medians and the concordance measure, respectively, in the general framework of survival factorial designs with possibly heterogeneous survival and/or censoring distributions, for crossed designs with an arbitrary number of factors and nested designs with up to three factors. Ditzhaus, Dobler and Pauly (2020) <doi:10.1177/0962280220980784> Ditzhaus, Genuneit, Janssen, Pauly (2023) <doi:10.1111/biom.13575> Dobler and Pauly (2019) <doi:10.1177/0962280219831316>.
Author: Marc Ditzhaus [aut], Dennis Dobler [aut], Markus Pauly [aut], Philipp Steinhauer [aut], Merle Munko [aut, cre]
Maintainer: Merle Munko <mmunko@novaims.unl.pt>

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Package forestploter updated to version 1.2.0 with previous version 1.1.4 dated 2026-04-27

Title: Create a Flexible Forest Plot
Description: Create a forest plot based on the layout of the data. Confidence intervals in multiple columns by groups can be done easily. The plot is built step by step with the pipe, adding the axis, the labels and a style, editing the plot, inserting/adding text, and much more.
Author: Alimu Dayimu [aut, cre]
Maintainer: Alimu Dayimu <ad938@cam.ac.uk>

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Package AISanalyze updated to version 3.1.3 with previous version 3.1.2 dated 2026-08-26

Title: Processing and Analyzing AIS Vessel Tracking Data
Description: Processes Automatic Identification System (AIS) vessel tracking data, including travel estimation, trajectory correction, interpolation, extraction, and summarising vessel information. The package is designed to facilitate reproducible analyses of maritime traffic in ecological, environmental, and marine spatial planning applications. For more details see <https://remip48.github.io/AISanalyze/>.
Author: Remi Pigeault [aut, cre]
Maintainer: Remi Pigeault <remi.pigeault@tiho-hannover.de>

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Package fuzzyRankTests (with last version 0.5) was removed from CRAN

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

2025-11-09 0.5
2021-08-14 0.4
2017-03-15 0.3-10
2015-07-07 0.3-7
2013-07-15 0.3-5
2013-03-31 0.3-4
2007-10-09 0.3-2
2006-01-01 0.3-1

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Package mombf (with last version 3.5.4) was removed from CRAN

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

2024-02-06 3.5.4
2024-01-29 3.5.2
2023-09-28 3.4.2
2023-07-01 3.4.1
2023-06-06 3.4.0
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2022-11-03 3.2.0
2022-08-19 3.1.4
2022-04-01 3.1.3
2021-11-03 3.0.7
2021-09-30 3.0.6
2021-07-13 3.0.4
2021-06-01 3.0.3
2020-11-26 3.0.1
2019-12-06 2.2.9
2019-06-07 2.2.4
2019-04-28 2.2.3
2019-04-25 2.2.2
2019-04-08 2.2.1
2018-06-22 2.1.2
2018-05-08 2.1.1
2018-01-05 1.9.6
2017-05-26 1.9.5
2017-03-08 1.9.4
2017-03-07 1.9.3
2017-03-06 1.9.2
2016-11-18 1.8.3
2016-11-04 1.8.2
2016-08-06 1.8.1
2016-08-05 1.8.0
2016-05-17 1.7.1
2015-11-17 1.6.1
2015-07-24 1.6.0
2014-11-11 1.5.9
2014-04-04 1.5.7
2013-08-23 1.5.4
2013-06-17 1.5.2
2013-04-05 1.4.1
2013-03-27 1.4.0
2013-03-26 1.3.8
2013-03-22 1.3.7
2012-09-05 1.3.5
2012-01-04 1.3.4
2011-11-25 1.3.3
2011-02-28 1.1.2
2011-01-24 1.1.1
2009-07-24 1.0.4
2009-01-26 1.0.3
2008-07-05 1.0.2
2008-04-24 1.0.0
2008-04-14 0.0.1
2008-04-03 0.0.0

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Package bapred (with last version 1.1) was removed from CRAN

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2022-06-22 1.1

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Package SimplicialComplex updated to version 0.2.1 with previous version 0.1.2 dated 2026-08-24

Title: Topological Data Analysis: Simplicial Complex
Description: Provides an implementation of simplicial complexes for Topological Data Analysis (TDA). The package includes functions to compute faces, boundary operators, Betti numbers, Euler characteristic, and to construct simplicial complexes, including Vietoris-Rips, Cech, Alpha, Delaunay, Witness, flood, and (via a Freudenthal triangulation) cubical complexes for grid and image data. It also implements persistent homology, from building filtrations (via a single build_filtration() entry point covering all of the above) to computing persistence diagrams, persistence landscapes, and Wasserstein/bottleneck distances between diagrams, with the aim of helping readers understand the core concepts of computational topology. Methods are based on standard references in persistent homology such as Zomorodian and Carlsson (2005) <doi:10.1007/s00454-004-1146-y>, Chazal and Michel (2021) <doi:10.3389/frai.2021.667963>, and Otter, Porter, Tillmann, Grindrod and Harrington (2017) <doi:10.1140/e [...truncated...]
Author: ChiChien Wang [aut, cre, trl]
Maintainer: ChiChien Wang <kennywang2003@gmail.com>

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Package octawave updated to version 0.1.1 with previous version 0.1.0 dated 2026-09-08

Title: Spatial Octahedral Quantum Wave Functions
Description: Provides mathematical tools for simulating and visualizing three-dimensional octahedral quantum wave interferences and spatial resonance fields. Includes functions for MRI slice generation of fullerene structures and wave models. Computational modeling and three-dimensional visualization of fullerene and octahedral topologies are implemented within the R statistical environment, with interactive plotting powered by 'plotly'. Theoretical foundations are based on the topological frameworks of Cataldo et al. (2015) <doi:10.1002/wcms.1207>, Dresselhaus et al. (1996, ISBN:9780122218200), and Coxeter (1973, ISBN:9780486614809); the geometric principles of equations of the octahedron type are outlined in Bobenko and Suris (2012) <doi:10.1093/imrn/rnr083>. Additional structural and biological symmetry contexts are derived from Bragg (1914) <doi:10.1098/rspa.1914.0015> and Caspar and Klug (1962) <doi:10.1101/sqb.1962.027.001.005>.
Author: Katharina Brecht [aut, cre]
Maintainer: Katharina Brecht <katharina.quantumdata@proton.me>

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Package netUtils updated to version 1.0.0 with previous version 0.8.6 dated 2026-06-12

Title: A Collection of Tools for Network Analysis
Description: Provides a collection of network analytic (convenience) functions which are missing in other standard packages. This includes triad census with attributes <doi:10.1016/j.socnet.2019.04.003>, core-periphery models <doi:10.1016/S0378-8733(99)00019-2>, and several graph generators. Most functions are build upon 'igraph'.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david@schochastics.net>

Diff between netUtils versions 0.8.6 dated 2026-06-12 and 1.0.0 dated 2026-09-30

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More information about netUtils at CRAN
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Package deepspat updated to version 0.3.4 with previous version 0.3.3 dated 2026-09-16

Title: Deep Compositional Spatial Models
Description: Deep compositional spatial models are standard spatial covariance models coupled with an injective warping function of the spatial domain. The warping function is constructed through a composition of multiple elemental injective functions in a deep-learning framework. The package implements two cases for the univariate setting; first, when these warping functions are known up to some weights that need to be estimated, and, second, when the weights in each layer are random. In the multivariate setting only the former case is available. Estimation and inference is done using `tensorflow`, which makes use of graphics processing units. For more details see Zammit-Mangion et al. (2022) <doi:10.1080/01621459.2021.1887741>, Vu et al. (2022) <doi:10.5705/ss.202020.0156>, Vu et al. (2023) <doi:10.1016/j.spasta.2023.100742>, and Shao et al. (2025) <doi:10.48550/arXiv.2505.12548>.
Author: Andrew Zammit-Mangion [aut], Quan Vu [aut, cre], Xuanjie Shao [aut]
Maintainer: Quan Vu <quanvustats@gmail.com>

Diff between deepspat versions 0.3.3 dated 2026-09-16 and 0.3.4 dated 2026-09-30

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Permanent link

Package cograph updated to version 2.7.2 with previous version 2.4.4 dated 2026-07-10

Title: Analysis and Visualization of Complex Networks
Description: Provides tools for the analysis, visualization, and manipulation of dynamical, social (Saqr et al. (2024) <doi:10.1007/978-3-031-54464-4_10>) and complex networks (Saqr et al. (2025) <doi:10.1145/3706468.3706513>). The package supports multiple network formats and offers flexible tools for heterogeneous, multi-layer, and hierarchical network analysis with simple syntax and extensive toolset.
Author: Mohammed Saqr [aut, cph], Sonsoles Lopez-Pernas [aut, cre, cph]
Maintainer: Sonsoles Lopez-Pernas <sonsoles.lopez@uef.fi>

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Package chevron updated to version 0.2.15 with previous version 0.2.14 dated 2026-09-16

Title: Standard TLGs for Clinical Trials Reporting
Description: Provide standard tables, listings, and graphs (TLGs) libraries used in clinical trials. This package implements a structure to reformat the data with 'dunlin', create reporting tables using 'rtables' and 'tern' with standardized input arguments to enable quick generation of standard outputs. In addition, it also provides comprehensive data checks and script generation functionality.
Author: Liming Li [aut] , Benoit Falquet [aut] , Xiaoli Duan [aut], Adrian Waddell [ctb], Chenkai Lv [ctb], Pawel Rucki [ctb], Tim Barnett [ctb], Tian Fang [ctb], Joe Zhu [cre] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package text2speech readmission to version 1.2.0 with previous version 1.0.0 dated 2023-07-19

Title: Text to Speech Conversion
Description: Converts text into speech using various text-to-speech (TTS) engines and provides an unified interface for accessing their functionality. With this package, users can easily generate audio files of spoken words, phrases, or sentences from plain text data. The package supports multiple TTS engines, including Google's 'Cloud Text-to-Speech API', 'Amazon Polly', Microsoft's 'Cognitive Services Text to Speech REST API', the 'Speechify Text-to-Speech API', and a free TTS engine called 'Coqui TTS'.
Author: Howard Baek [aut] , John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

This is a re-admission after prior archival of version 1.0.0 dated 2023-07-19

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Package SSLfmm updated to version 0.2.2 with previous version 0.2.1 dated 2026-09-07

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

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Package rjd3production readmission to version 1.2.0 with previous version 1.1.1 dated 2026-07-17

Title: Prepare for Production of Seasonal Adjustment with 'JDemetra+'
Description: A comprehensive tool for setting up seasonal data pipelines using 'JDemetra+' (version 3) and 'rjdverse'. This includes setting up a new working environment, creating and selecting calendar regressors, managing specifications (trading-days regressors and outliers) at the workspace level, making a workspace usable by the 'cruncher', removing insignificant outliers, and comparing workspaces.
Author: Tanguy Barthelemy [aut, cre, art, cph], Eulalie Delaune [aut]
Maintainer: Tanguy Barthelemy <timeserieswithjdemetraandr@gmail.com>

This is a re-admission after prior archival of version 1.1.1 dated 2026-07-17

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Package querychat readmission to version 0.4.1 with previous version 0.4.0 dated 2026-09-13

Title: Filter and Query Data Frames in 'shiny' Using an LLM Chat Interface
Description: Adds an LLM-powered chatbot to your 'shiny' app, that can turn your users' natural language questions into 'SQL' queries that run against your data, and return the result as a reactive data frame. Use it to drive reactive calculations, visualizations, downloads, and more.
Author: Garrick Aden-Buie [aut, cre] , Joe Cheng [aut, ccp], Carson Sievert [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Garrick Aden-Buie <garrick@posit.co>

This is a re-admission after prior archival of version 0.4.0 dated 2026-09-13

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Package punycoder updated to version 1.3.0 with previous version 1.2.1 dated 2026-07-19

Title: Unicode and Punycode Domain Name Processing
Description: High-performance Unicode and Punycode processing for internationalized domain names. The 'puny_encode()' / 'puny_decode()' helpers are a low-level, RFC 3492 compliant Punycode codec for domain labels (the 'xn--' ASCII-Compatible Encoding of RFC 5890/5891); they perform the raw transform plus letter-digit-hyphen checks and do not apply Unicode IDNA normalization. 'host_normalize()' is the Unicode Technical Standard #46 host-normalization entry point, mapping a host name to a canonical lowercase ASCII comparison form (non-transitional profile, pinned default Unicode version, selectable per call from the set the build ships). Aimed at host normalization and data analysis workflows. Used as the Punycode and IDNA engine by the 'pslr' and 'rurl' packages.
Author: Bart Turczynski [aut, cre]
Maintainer: Bart Turczynski <bartek@turczynski.pl>

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Package PublicationBiasBenchmark updated to version 0.3.0 with previous version 0.2.1 dated 2026-05-23

Title: Benchmark for Publication Bias Correction Methods
Description: Implements a unified interface for benchmarking meta-analytic publication bias correction methods through simulation studies (see Bartoš et al., 2025, <doi:10.48550/arXiv.2510.19489>). It provides 1) predefined data-generating mechanisms from the literature, 2) functions for running meta-analytic methods on simulated data, 3) pre-simulated datasets and pre-computed results for reproducible benchmarks, 4) tools for visualizing and comparing method performance.
Author: Frantisek Bartos [aut, cre] , Samuel Pawel [aut] , Bjoern S. Siepe [aut] , Petr Čala [aut]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

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Package psych updated to version 2.6.9 with previous version 2.6.5 dated 2026-05-15

Title: Procedures for Psychological, Psychometric, and Personality Research
Description: A general purpose toolbox developed originally for personality, psychometric theory and experimental psychology. Functions are primarily for multivariate analysis and scale construction using factor analysis, principal component analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for analyzing data at multiple levels include within and between group statistics, including correlations and factor analysis. Validation and cross validation of scales developed using basic machine learning algorithms are provided, as are functions for simulating and testing particular item and test structures. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, including mediation models, factor analysis and structural equation models are created using basic graphics. Some of the fu [...truncated...]
Author: William Revelle [aut, cre]
Maintainer: William Revelle <revelle@northwestern.edu>

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Package polle updated to version 1.6.5 with previous version 1.6.4 dated 2026-05-17

Title: Policy Learning
Description: Package for learning and evaluating (subgroup) policies via doubly robust loss functions. Policy learning methods include doubly robust blip/conditional average treatment effect learning and sequential policy tree learning. Methods for (subgroup) policy evaluation include doubly robust cross-fitting and online estimation/sequential validation. See Nordland and Holst (2026) <doi:10.18637/jss.v116.i04> for documentation and references.
Author: Andreas Nordland [aut, cre], Klaus Holst [aut]
Maintainer: Andreas Nordland <andreasnordland@gmail.com>

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Permanent link

Package pipr readmission to version 1.5.0 with previous version 1.4.0 dated 2025-12-22

Title: Client for the Poverty and Inequality Platform ('PIP') API
Description: An interface to compute poverty and inequality indicators for more than 160 countries and regions from the World Bank's database of household surveys, through the Poverty and Inequality Portal (PIP).
Author: Tony Fujs [aut], Aleksander Eilertsen [aut], Ronak Shah [aut], R.Andres Castaneda [aut, cre], Giorgia Cecchinato [aut], World Bank [cph]
Maintainer: R.Andres Castaneda <acastanedaa@worldbank.org>

This is a re-admission after prior archival of version 1.4.0 dated 2025-12-22

Diff between pipr versions 1.4.0 dated 2025-12-22 and 1.5.0 dated 2026-09-30

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Permanent link

Package openCR updated to version 2.2.8 with previous version 2.2.7 dated 2024-10-23

Title: Open Population Capture-Recapture
Description: Non-spatial and spatial open-population capture-recapture analysis.
Author: Murray Efford [aut, cre]
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

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Package NetSimR updated to version 0.3.2 with previous version 0.3.1 dated 2026-09-22

Title: Actuarial Functions for Non-Life Insurance Modelling
Description: Assists actuaries and other insurance modellers in pricing, reserving and capital modelling for non-life insurance and reinsurance modelling. Provides functions that help model excess levels, capping and pure Incurred but not reported claims (pure IBNR). Includes capped mean, exposure curves and increased limit factor curves (ILFs) for LogNormal, Gamma, Pareto, Sliced LogNormal-Pareto and Sliced Gamma-Pareto distributions. Includes mean, probability density function (pdf), cumulative probability function (cdf) and inverse cumulative probability function for Sliced LogNormal-Pareto and Sliced Gamma-Pareto distributions. Includes calculating pure IBNR exposure with LogNormal and Gamma distribution for reporting delay. Includes three 'shiny' tools: a claims simulator with reinsurance structures, a generalised linear model fitting tool, and a claims frequency and severity distribution fitting tool. Methods used in the package refer to Free for All by Yiannis Parizas (2023) <https://www. [...truncated...]
Author: Yiannis Parizas [aut, cre]
Maintainer: Yiannis Parizas <yiannis.parizas@gmail.com>

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Package netrankr updated to version 2.0.0 with previous version 1.2.4 dated 2025-02-05

Title: Analyzing Partial Rankings in Networks
Description: Implements methods for centrality related analyses of networks. While the package includes the possibility to build more than 20 indices, its main focus lies on index-free assessment of centrality via partial rankings obtained by neighborhood-inclusion or positional dominance. These partial rankings can be analyzed with different methods, including probabilistic methods like computing expected node ranks and relative rank probabilities (how likely is it that a node is more central than another?). The methodology is described in depth in the vignettes and in Schoch (2018) <doi:10.1016/j.socnet.2017.12.003>.
Author: David Schoch [aut, cre] , Julian Mueller [ctb]
Maintainer: David Schoch <david@schochastics.net>

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Package mlmoderator updated to version 0.3.0 with previous version 0.2.1 dated 2026-04-03

Title: Probing, Plotting, and Interpreting Multilevel Interaction Effects
Description: Provides a workflow for probing, plotting, and checking cross-level interaction effects in two-level mixed-effects models fitted with 'lme4' (Bates et al., 2015) <doi:10.18637/jss.v067.i01>. Implements simple slopes analysis following Aiken and West (1991, ISBN:9780761907121), Johnson-Neyman intervals following Johnson and Fay (1950) <doi:10.1007/BF02288864> and Bauer and Curran (2005) <doi:10.1207/s15327906mbr4003_5>, and grand- or group-mean centering as described in Enders and Tofighi (2007) <doi:10.1037/1082-989X.12.2.121>. Tests and intervals use Satterthwaite degrees of freedom via 'lmerTest' (Kuznetsova et al., 2017) <doi:10.18637/jss.v082.i13> by default, with Kenward-Roger and between-cluster alternatives. Also provides confidence and new-cluster prediction intervals for simple slopes in random-slope models, contour plots of predicted outcomes over the predictor-by-moderator space, and leave-one-cluster-out influence diagnostics for the interactio [...truncated...]
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>

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Permanent link

Package igraph updated to version 2.3.4 with previous version 2.3.3 dated 2026-06-26

Title: Network Analysis and Visualization
Description: Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.
Author: Gabor Csardi [aut] , Tamas Nepusz [aut] , Vincent Traag [aut] , Szabolcs Horvat [aut] , Fabio Zanini [aut] , Daniel Noom [aut], Kirill Mueller [aut, cre] , Michael Antonov [ctb], Chan Zuckerberg Initiative [fnd] , David Schoch [aut] , Maelle Salmon [a [...truncated...]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Permanent link

Package EFA.dimensions updated to version 0.1.9.2 with previous version 0.1.9.1 dated 2026-09-14

Title: Exploratory Factor Analysis Functions for Assessing Dimensionality
Description: Functions for an assortment of factor analysis-related procedures, including eleven procedures for determining the number of factors; for factor analysis with multiple options for methods of extraction and rotation; for bi-factor analysis; for extension factor analysis; options for running the analyses using either raw data or correlation matrices as input and with options for conducting the analyses using Pearson correlations, Kendall correlations, Spearman correlations, gamma correlations, or polychoric correlations; wrapper 'lavaan'-based functions for factorial invariance and exploratory structural equation modeling; functions for the factor-ability of a correlation matrix, for the congruence between factors from different datasets, for the assessment of local independence, for the assessment of factor solution complexity, for internal consistency, and for correcting Pearson correlation coefficients for attenuation due to unreliability. Auerswald & Moshagen (2019, <doi:10.10 [...truncated...]
Author: Brian P. O'Connor [aut, cre]
Maintainer: Brian P. O'Connor <brian.oconnor@ubc.ca>

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Package bigPLSR updated to version 0.8.0 with previous version 0.7.2 dated 2025-12-01

Title: Partial Least Squares Regression Models with Big Matrices
Description: Fast partial least squares (PLS) for dense and out-of-core data. Provides SIMPLS (straightforward implementation of a statistically inspired modification of the PLS method) and NIPALS (non-linear iterative partial least-squares) solvers, plus kernel-style PLS variants ('kernelpls' and 'widekernelpls') with parity to 'pls'. Optimized for 'bigmemory'-backed matrices with streamed cross-products and chunked BLAS (Basic Linear Algebra Subprograms) (XtX/XtY and XXt/YX), optional file-backed score sinks, and deterministic testing helpers. Includes an auto-selection strategy that chooses between XtX SIMPLS, XXt (wide) SIMPLS, and NIPALS based on (n, p) and a configurable memory budget. About the package, Bertrand and Maumy (2023) <https://hal.science/hal-05352069>, and <https://hal.science/hal-05352061> highlighted fitting and cross-validating PLS regression models to big data. For more details about some of the techniques featured in the package, Dayal and MacGregor (1997) <d [...truncated...]
Author: Frederic Bertrand [cre, aut] , Myriam Maumy [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

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Package artma updated to version 0.5.0 with previous version 0.4.1 dated 2026-08-20

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

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Permanent link

Package whep readmission to version 0.3.1 with previous version 0.3.0 dated 2026-03-03

Title: Processing Agro-Environmental Data
Description: A set of tools for processing and analyzing data developed in the context of the "Who Has Eaten the Planet" (WHEP) project, funded by the European Research Council (ERC). For more details on multi-regional input–output model "Food and Agriculture Biomass Input–Output" (FABIO) see Bruckner et al. (2019) <doi:10.1021/acs.est.9b03554>.
Author: Catalin Covaci [aut, cre] , Eduardo Aguilera [aut, cph] , Alice Beckmann [aut] , Juan Infante [aut] , Justin Morgan [aut] , Joao Serra [ctb] , European Research Council [fnd]
Maintainer: Catalin Covaci <catalin.covaci@csic.es>

This is a re-admission after prior archival of version 0.3.0 dated 2026-03-03

Diff between whep versions 0.3.0 dated 2026-03-03 and 0.3.1 dated 2026-09-30

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 12 files changed, 16 insertions(+), 31 deletions(-)

More information about whep at CRAN
Permanent link

Package telegramR updated to version 0.0.2 with previous version 0.0.1 dated 2026-06-02

Title: Interact with the 'Telegram' 'MTProto' API
Description: Provides a full-featured client for the 'Telegram' 'MTProto' protocol (<https://core.telegram.org/api>), enabling programmatic access to 'Telegram' chats, channels, messages, media, and stories. Implements binary encoding and decoding of the 'Telegram' 'TL' (Type Language) schema, authentication (including two-factor), encrypted transport, and high-level helpers for downloading channel history and reactions at scale. Intended for social-science research and data collection tasks that require direct API access rather than the 'Bot API'.
Author: Roman Kyrychenko [aut, cre, cph]
Maintainer: Roman Kyrychenko <roman.kyrychenko@helsinki.fi>

Diff between telegramR versions 0.0.1 dated 2026-06-02 and 0.0.2 dated 2026-09-30

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 96 files changed, 83156 insertions(+), 45138 deletions(-)

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New package svpChange with initial version 0.2.0
Package: svpChange
Title: Smallest Valid Partitioning for Change-Point Detection
Version: 0.2.0
Author: Vincent Runge [aut, cre, cph], Alexandre Combeau [aut], Gaetano Romano [aut], Anica Kostic [ctb]
Maintainer: Vincent Runge <vincent.runge@univ-evry.fr>
Description: Provides methods for detecting multiple change-points and segmenting univariate time series using Smallest Valid Partitioning (SVP). SVP searches for a partition with the smallest number of segments whose segments satisfy a user-defined or built-in validity test. Among partitions with the same number of segments, it minimizes a within-segment sum-of-squared-errors criterion.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/vrunge/svpChange
BugReports: https://github.com/vrunge/svpChange/issues
Imports: Rcpp (>= 1.0.10), stats
Suggests: stepR, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2026-09-22 14:39:49 UTC; vrunge
Repository: CRAN
Date/Publication: 2026-09-30 13:40:02 UTC

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New package hobbs with initial version 0.4.4
Package: hobbs
Title: High Dimensional Bayesian Omnibus Sampler
Version: 0.4.4
Description: Enables high dimensional statistical modeling using Bayesian inference and provides a probabilistic programming language for high dimensional problems. See Kleinsasser (2026) <doi:10.5281/zenodo.22309216>.
License: GPL-3
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc, C compiler
URL: https://hobbs-dev.github.io/
BugReports: https://github.com/hobbs-dev/hobbs/issues
Suggests: testthat (>= 3.0.0), rjags, rstan
NeedsCompilation: yes
Packaged: 2026-09-22 13:58:28 UTC; mk
Author: Mike Kleinsasser [aut, cre]
Maintainer: Mike Kleinsasser <mjkleinsa@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-30 13:30:02 UTC

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New package xtifedml with initial version 0.1.4
Package: xtifedml
Title: Double Machine Learning for Static Panel Models with Interactive Fixed Effects
Version: 0.1.4
Date: 2026-09-22
Maintainer: Annalivia Polselli <apolselli.econ@gmail.com>
Description: Implements partially linear panel regression (PLPR) models with interactive fixed effects, high-dimensional confounding variables, and an exogenous treatment variable within the double machine learning framework. Estimates the structural parameter (treatment effect) in static panel data models with interactive fixed effects using the approach established in Chen et al. (2026) <doi:10.48550/arXiv.2608.01137>. Builds on the object-oriented package 'DoubleML' (Bach et al., 2024) <doi:10.18637/jss.v108.i03> and 'xtdml' (Polselli, 2025) <doi:10.48550/arXiv.2512.15965>, using the 'mlr3' ecosystem.
License: GPL-2 | GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: R6 (>= 2.4.1), data.table (>= 1.12.8), mlr3 (>= 1.3.0), mlr3tuning (>= 1.5.0), mlr3learners (>= 0.13.0), mlr3misc (>= 0.19.0), mvtnorm, utils, clusterGeneration, readstata13, magrittr, dplyr (>= 1.1.0), stats, MLmetrics, checkmate
Suggests: rpart, bbotk (>= 1.8.0), testthat (>= 3.0.0), paradox, mlr3pipelines, ranger, xgboost, glmnet
NeedsCompilation: no
Packaged: 2026-09-22 09:53:10 UTC; annal
Author: Binzhi Chen [aut] , Annalivia Polselli [aut, cre]
Repository: CRAN
Date/Publication: 2026-09-30 12:10:02 UTC

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New package sensorLeak with initial version 0.1.0
Package: sensorLeak
Title: Leakage Detection for Environmental Sensor Data
Version: 0.1.0
Description: Provides tools for identifying potential information leakage and validation risks in machine learning workflows using environmental sensor data. The package includes checks for temporal ordering, shared sensors, spatial proximity, and overlapping temporal windows. The diagnostics are motivated by considerations of spatial and temporal structure in model validation (Roberts et al., 2017) <doi:10.1111/ecog.02881>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/division55/sensorLeak
BugReports: https://github.com/division55/sensorLeak/issues
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-22 11:02:26 UTC; iamua
Author: Divya Umai Raja [aut, cre, cph], Sanjana Sujil [aut, cph]
Maintainer: Divya Umai Raja <iamuayvid@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-30 12:10:07 UTC

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New package FARM with initial version 0.1.5.15
Package: FARM
Title: Forward Angular Relevance Measure
Version: 0.1.5.15
Description: The original implementation of the Forward Angular Relevance Measure (FARM). The algorithm relies on a forward alignment approach for compared time series based on the dynamic time warping (DTW) principle. It considers the differences between data point as source in a combined distance metric that is used for series alignment. The algorithm returns a global and a series of local relevance measures relying on correlation coefficients. A normalization of time series is not part of the algorithm but recommended for best results. The FARM method is introduced in: Christen et al. (2023) <doi:10.48550/arXiv.2304.11028>.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, stats, utils
NeedsCompilation: no
Packaged: 2026-09-22 09:56:28 UTC; prypjat
Author: Ramon Christen [aut, cre]
Maintainer: Ramon Christen <hiroshima@bluewin.ch>
Repository: CRAN
Date/Publication: 2026-09-30 12:00:02 UTC

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New package estbanr with initial version 0.1.1
Package: estbanr
Title: Brazilian Monthly Banking Statistics by Municipality (ESTBAN)
Version: 0.1.1
Description: Download, read and tidy the ESTBAN (Estatistica Bancaria Mensal por Municipio, Monthly Banking Statistics by Municipality) files published by the Brazilian Central Bank (Banco Central do Brasil) for every bank branch and municipality in Brazil. Each file reports balance-sheet accounts of the COSIF (Plano Contabil das Instituicoes do Sistema Financeiro Nacional, the chart of accounts of the Brazilian financial system) such as credit operations, deposits and savings. Files are fetched from the official site <https://www.bcb.gov.br/estatisticas/estatisticabancariamunicipios> with an idempotent local cache, read from their Latin-1 encoded CSV (comma-separated values) layout into tibbles, optionally filtered by state, and aggregated by municipality. Includes tools to detect and impute institution-month non-reports (an institution present in the file with every account equal to zero), which would otherwise be mistaken for zero balances.
License: MIT + file LICENSE
URL: https://strategicprojects.github.io/estbanr/, https://github.com/StrategicProjects/estbanr
BugReports: https://github.com/StrategicProjects/estbanr/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), dplyr (>= 1.1.0), httr2 (>= 1.0.0), readr (>= 2.1.0), rlang (>= 1.1.0), stats, stringi (>= 1.7.0), tibble (>= 3.2.0), utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-22 11:51:01 UTC; leite
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut], Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Julia Nascimento Barreto [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-09-30 12:40:02 UTC

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New package ecoGLMM with initial version 0.1.3
Package: ecoGLMM
Title: Reproducible Ecological Generalized Linear Mixed Model Pipelines
Version: 0.1.3
Description: Fits and compares generalized linear mixed models for multiple ecological responses and environmental predictors. The package supports additive and temporal-interaction candidate models, AICc model selection, likelihood-ratio tests, coefficient extraction, Nakagawa R-squared, simulation-based diagnostics, figures, and spreadsheet exports. Model selection follows Burnham and Anderson (2002, ISBN:9780387953649); marginal and conditional R-squared follow Nakagawa and Schielzeth (2013) <doi:10.1111/j.2041-210x.2012.00261.x>.
License: MIT + file LICENSE
URL: https://github.com/andre-fcsantos/ecoGLMM
BugReports: https://github.com/andre-fcsantos/ecoGLMM/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: DHARMa, ggeffects, ggplot2, glmmTMB, MuMIn, performance, stats, writexl
Suggests: knitr, readxl, remotes, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-22 12:54:21 UTC; andre.fcsantos
Author: Andre Felipe Carneiro dos Santos [aut, cre] , Bruna Martins Bezerra [aut] , Barbara Lins Caldas de Moraes [aut]
Maintainer: Andre Felipe Carneiro dos Santos <andre.fcsantos@ufpe.br>
Repository: CRAN
Date/Publication: 2026-09-30 12:40:08 UTC

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New package cagedr with initial version 0.1.0
Package: cagedr
Title: Access Novo CAGED Microdata from the Brazilian Ministry of Labour
Version: 0.1.0
Description: Download and read the public, non-identified microdata of the Novo CAGED (Cadastro Geral de Empregados e Desempregados), the monthly registry of formal employment movements published by the Brazilian Ministry of Labour and Employment through the PDET FTP server <ftp://ftp.mtps.gov.br/pdet/microdados/>. Lists the reference months available on the server, downloads the three monthly files (movements declared on time, declared late, and exclusions) with an idempotent local cache, and reads the national 7z archives as a stream, filtering by state and selecting columns before anything is kept in memory, so that a single state can be extracted without loading the full national file. Also provides the official record layout and a helper to consolidate admissions, separations and net balance by reference month.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: archive (>= 1.1.0), cli (>= 3.6.0), curl (>= 5.0.0), readr (>= 2.1.0), rlang (>= 1.1.0), stringi (>= 1.7.0), tibble (>= 3.2.0)
Suggests: dplyr, knitr, rmarkdown, testthat (>= 3.0.0), withr
SystemRequirements: libarchive (via the 'archive' package)
VignetteBuilder: knitr
URL: https://github.com/StrategicProjects/cagedr, https://strategicprojects.github.io/cagedr/
BugReports: https://github.com/StrategicProjects/cagedr/issues
NeedsCompilation: no
Packaged: 2026-09-22 12:05:26 UTC; leite
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut], Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Julia Nascimento Barreto [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-09-30 12:40:14 UTC

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New package searchlight with initial version 0.1.0
Package: searchlight
Title: Audited Analysis of Police Stop and Search Records
Version: 0.1.0
Description: Acquire and audit public police stop and search archives for England and Wales, retaining provenance and explicit coverage information. Designed for exposure-based ethnic disparity analysis with separately reported sampling and assumption uncertainty. Contains public sector information licensed under the Open Government Licence v3.0.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: CARBayes (>= 6.1.1), cli, commonmark, digest, dplyr (>= 1.1.1), httr2, jsonlite, MASS, readr, rlang, sf, spdep, splines, suncalc, posterior, ggplot2, tidyr, tibble, withr, xml2
URL: https://github.com/BlackThrive/searchlight, https://blackthrive.github.io/searchlight/
BugReports: https://github.com/BlackThrive/searchlight/issues
Suggests: testthat (>= 3.0.0), httptest2, knitr, rmarkdown, lme4, lintr, spelling, vdiffr, zip
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-22 04:33:08 UTC; musta
Author: Mustapha Wasseja [aut, cre], Sarah Hamed [aut], Souci Frissa [aut], Black Thrive Global [cph, fnd]
Maintainer: Mustapha Wasseja <mustapha.wasseja.mohammed@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-30 11:40:02 UTC

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New package limpidR with initial version 0.1.0
Package: limpidR
Title: Reproducible Analysis of Freshwater Microplastic Data
Version: 0.1.0
Author: Chanikya Naidu [aut, cre]
Maintainer: Chanikya Naidu <thefisherieschanikyaneeti@gmail.com>
Description: Provides validation, harmonization, descriptive analysis, compositional analysis, transparent risk components, grouped cross-validation, visualization, and predictive modelling tools for freshwater microplastic datasets. The package includes synthetic demonstration data conforming to the LIMPID-India data model and emphasizes explicit units, provenance, percentage closure, non-imputation of missing environmental covariates, and leakage-aware model evaluation.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2
Suggests: knitr, rmarkdown, readxl, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-22 08:50:13 UTC; chani
Repository: CRAN
Date/Publication: 2026-09-30 11:50:02 UTC

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New package geoaddSAE2 with initial version 0.1.0
Package: geoaddSAE2
Title: Geoadditive Small Area Estimation for Area-Level Model
Version: 0.1.0
Description: Fits area-level geoadditive small area estimation (SAE) models by extending the Fay-Herriot area-level model with linear, nonlinear, and spatial effects. The Fay-Herriot model is described by Fay and Herriot (1979) <doi:10.1080/01621459.1979.10482505>. Geoadditive models combine nonlinear covariate effects and spatial variation as described by Kammann and Wand (2003) <doi:10.1111/1467-9876.00385>, while their application to small area estimation is discussed by Pusponegoro et al. (2019) <doi:10.21108/JDSA.2019.2.15>. Nonlinear covariate effects are represented using penalized splines, while spatial effects are represented using a smooth function of geographic coordinates. Models are estimated using restricted maximum likelihood (REML), and mean squared error (MSE) is estimated using a parametric bootstrap. The package also provides comparisons with the Fay-Herriot and spatial Fay-Herriot (SFH) models.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
Imports: mgcv, sae, stats
NeedsCompilation: no
Packaged: 2026-09-22 08:16:08 UTC; alya
Author: Amalyah Rizky Khairunnisa Sutarto [aut, cre], Novi Hidayat Pusponegoro [aut, ths]
Maintainer: Amalyah Rizky Khairunnisa Sutarto <222212489@stis.ac.id>
Repository: CRAN
Date/Publication: 2026-09-30 11:40:09 UTC

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New package admetshiny with initial version 1.0.0
Package: admetshiny
Title: Interactive ADMET and Drug-Likeness Analysis of Small Molecules
Version: 1.0.0
Date: 2026-08-29
Maintainer: Xavier Clemente Garcia Cevallos <xgarcia@unicauca.edu.co>
Description: Provides an interactive Shiny application and a toolbox of R functions for the management, calculation, filtering, visualization and exploratory analysis of molecular descriptors and ADMET (Absorption, Distribution, Metabolism, Excretion and Toxicity) properties of small molecules. Computes descriptors locally via the Chemistry Development Kit (CDK), and offers drug-likeness filters (Lipinski, Veber, Ghose, Egan, Muegge), the BOILED-Egg model for gastrointestinal absorption and blood-brain barrier permeability, a P-glycoprotein (P-gp, also known as ATP-binding cassette sub-family B member 1, ABCB1) substrate Random Forest classifier, Principal Component Analysis (PCA), t-Distributed Stochastic Neighbor Embedding (t-SNE), Uniform Manifold Approximation and Projection (UMAP), radar plots and Tanimoto / AGglomerative NESting (AGNES) clustering to support compound prioritization in early-stage drug discovery.
License: MIT + file LICENSE
URL: https://github.com/xavierclementegarcia/admetshiny
BugReports: https://github.com/xavierclementegarcia/admetshiny/issues
Depends: R (>= 3.5.0)
Imports: cluster, dplyr, DT, fingerprint, fmsb, GGally, ggplot2, ggrepel, graphics, grDevices, grid, magrittr, openxlsx, rcdk, rmarkdown, Rtsne, shiny, stats, tools, utils, uwot, viridisLite, webchem
Suggests: knitr, testthat
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: Java (>= 8); only required for the optional CDK-based descriptor calculation (rcdk) module.
NeedsCompilation: no
Packaged: 2026-09-22 06:11:21 UTC; XavierPC
Author: Xavier Clemente Garcia Cevallos [aut, cre]
Repository: CRAN
Date/Publication: 2026-09-30 11:30:02 UTC

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New package MIML with initial version 0.1.0
Package: MIML
Title: Machine Learning Imputation, Clustering and Survival Analysis for Longitudinal Proteomic Data
Version: 0.1.0
Description: Imputes missing biomarker measurements in a wide longitudinal serum panel with gradient-boosted decision trees, groups the completed panel by Bayesian consensus clustering, and compares the resulting patient subgroups by Kaplan-Meier, log-rank and Cox analysis. The imputation learner is described in Ke et al. (2017) <https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision-tree> and the clustering method in Lock and Dunson (2013) <doi:10.1093/bioinformatics/btt425>. Imputed values are conditional-mean predictions, so the procedure is a machine-learning single imputation; the completions carry no between-imputation variance and must not be pooled by Rubin's rules. Two panels from Gene Expression Omnibus accession 'GSE65622' are included, one for each survival endpoint.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: lightgbm (>= 3.3.0), data.table, survival, stats, utils
Suggests: BCClong, testthat (>= 3.0.0)
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2026-09-21 12:50:13 UTC; DELL
Author: Neelesh Kumar [aut, cre], Atanu Bhattacharjee [aut], Gajendra K. Vishwakarma [aut], Tanmoy Majumdar [aut]
Maintainer: Neelesh Kumar <neelesh2302@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-30 10:10:02 UTC

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New package R4VN with initial version 1.6
Package: R4VN
Title: Health Data Analysis and Publication-Ready Reporting
Version: 1.6
Description: Provides short and consistent commands for data management, descriptive and inferential statistics, epidemiological analyses, regression models, survival and longitudinal analyses, diagnostic accuracy, scale assessment, meta-analysis, machine learning, study design, publication-ready tables, graphics, and reporting. Commands accept an explicit data frame or an active data frame selected with usedf().
License: MIT + file LICENSE
Encoding: UTF-8
Language: en
Depends: R (>= 4.1.0)
Imports: grDevices, graphics, splines, stats, tools, utils, survey
Suggests: arrow, Boruta, bslib (>= 0.7.0), curl, DBI, dbscan, DT, e1071, flextable, forecast, foreign, geepack, ggplot2, glmnet, haven, htmltools, jsonlite, keyring, knitr, lavaan, leaflet, nortest, lme4, MASS, metafor, mgcv, nlme, nnet, officer, openxlsx, pagedown, pkgdown, pmsampsize, pROC, presize, psych, quantreg, ranger, readstata13, readxl, rmarkdown, RMariaDB, ROSE, rpart, rstudioapi, sampling, sandwich, scales, sf, shiny (>= 1.8.0), spdep, statpsych, survival, testthat (>= 3.0.0), TrialSize, tseries, WebPower, webshot2, writexl, xgboost
NeedsCompilation: no
Packaged: 2026-09-21 06:14:15 UTC; thait
Author: Thai Thanh Truc [aut, cre]
Maintainer: Thai Thanh Truc <thaithanhtruc@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-30 09:30:07 UTC

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New package presto with initial version 1.1.0
Package: presto
Title: Fast Functions for Differential Expression Using Wilcoxon and AUC
Version: 1.1.0
Description: Scalable implementation of the Wilcoxon rank sum test and the area under the receiver operating characteristic curve (also known as auROC or AUC) statistic. Interfaces to dense and sparse matrices, as well as the genomics analysis frameworks 'Seurat' and 'SingleCellExperiment'.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, data.table, dplyr, methods, tidyr, purrr, tibble, Matrix, rlang, stats, utils
Suggests: knitr, rmarkdown, testthat, Seurat, SingleCellExperiment, SummarizedExperiment, DelayedArray, broom, BiocStyle, DESeq2
NeedsCompilation: yes
VignetteBuilder: knitr
Packaged: 2026-09-20 20:34:12 UTC; ks38
Author: Ilya Korsunsky [aut] , Aparna Nathan [aut], Nghia Millard [aut] , Soumya Raychaudhuri [aut] , Kamil Slowikowski [cre, ctb] , Austin Hartman [ctb]
Maintainer: Kamil Slowikowski <kslowikowski@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-30 09:10:02 UTC

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New package pediatric.zcalc with initial version 0.1.1
Package: pediatric.zcalc
Title: Z-Score Calculator for Biomarkers: Childhood to Young Adulthood
Version: 0.1.1
Description: Provides tools to compute individual percentile ranks and z-scores for clinical biomarkers in children, adolescents and young adults, based on age-, sex-, and height-specific reference data from the IDEFICS (Identification and prevention of Dietary and lifestyle-induced health EFfects In Children and infantS) study and the Biomarkers4Pediatrics collaboration. Supports the computation of a composite Metabolic Syndrome (MetS) score and associated monitoring/action levels for health monitoring. For more details see Ahrens et al. (2014) <doi:10.1038/ijo.2014.130>.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/bips-hb/pediatric.zcalc
BugReports: https://github.com/bips-hb/pediatric.zcalc/issues
LazyData: true
Depends: R (>= 3.5.0)
Imports: gamlss.dist, pracma
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-21 13:27:56 UTC; maendle
Author: Andreas Maendle [aut, cre], Timm Intemann [aut], Zuelal Bekerecioglu [aut]
Maintainer: Andreas Maendle <maendle@leibniz-bips.de>
Repository: CRAN
Date/Publication: 2026-09-30 09:40:02 UTC

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New package mvPred with initial version 0.1.0
Package: mvPred
Title: Methods for Handling Missing Values in Linear Modeling
Version: 0.1.0
Maintainer: Billy Ouattara <ouattarabilly33@hotmail.com>
Description: Provides user-friendly methods for handling missing data in regression modeling, including available-case linear regression, multiple imputation, random-forest imputation, and the Tower method. Implemented approaches include chained-equation imputation described by van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>, multiple imputation described by Honaker, King and Blackwell (2011) <doi:10.18637/jss.v045.i07>, random-forest imputation described by Stekhoven and Buehlmann (2012) <doi:10.1093/bioinformatics/btr597>, and the Tower method described by Matloff and Mohanty (2023) <https://CRAN.R-project.org/package=toweranNA>.
Depends: R (>= 4.0.0)
Imports: regtools, mice, Amelia, missForest, toweranNA, stats, utils, qeML
License: MIT + file LICENSE
URL: https://github.com/matloff/mvPred
BugReports: https://github.com/matloff/mvPred/issues
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-09-20 20:17:20 UTC; ouatt
Author: Norman Matloff [aut], Cynthia Mascarenhas [aut], Billy Ouattara [aut, cre], Alekya Veluri [aut]
Repository: CRAN
Date/Publication: 2026-09-30 09:10:09 UTC

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New package mizu with initial version 0.0.1
Package: mizu
Title: Single-Producer Single-Consumer Channels
Version: 0.0.1
Description: Provides a single-producer single-consumer channel with bounded capacity, optional timeouts on receives, and sentinel return values for full, timeout, and closed states. The ring buffer is implemented in C: sends and receives are constant-time operations, values are delivered in first-in first-out order, and a closed channel drains its buffered values before reporting the closed state. The transport is in-process: both ends of a channel live in the calling R process, which suits the channel to prototyping producer and consumer designs and to testing channel-based logic.
License: MIT + file LICENSE
URL: https://github.com/shikokuchuo/mizu-r
BugReports: https://github.com/shikokuchuo/mizu-r/issues
Depends: R (>= 4.1)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-09-21 10:22:47 UTC; shikokuchuo
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Charlie Gao <charlie.gao@posit.co>
Repository: CRAN
Date/Publication: 2026-09-30 09:40:07 UTC

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New package latexr with initial version 0.3.0
Package: latexr
Title: Translate 'LaTeX' Formulas to R Code
Version: 0.3.0
Description: Implements a minimal 'LaTeX' parser that translates mathematical formulas into R code strings. Supports arithmetic operators, implicit multiplication, fractions, Greek letters, common mathematical functions, and statistical notation for means, medians, and rolling sums. Input from visual formula editors such as 'MathQuill' is normalized automatically, and the resulting string can be evaluated with parse() and eval(), or converted into an R function with latex2fun(). The implementation follows the tree-walking interpreter design of Nystrom (2021) <https://craftinginterpreters.com/>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: R6 (>= 2.4.0), purrr (>= 0.3.0)
Suggests: testthat
URL: https://github.com/rodrigoesborges/latexr
BugReports: https://github.com/rodrigoesborges/latexr/issues
NeedsCompilation: no
Packaged: 2026-09-21 11:43:39 UTC; rodrigo
Author: Rodrigo Borges [aut, cre], Tomas Capretto [aut, ctb]
Maintainer: Rodrigo Borges <rodrigo@borges.net.br>
Repository: CRAN
Date/Publication: 2026-09-30 09:40:13 UTC

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New package HanNLP with initial version 0.1.1
Package: HanNLP
Title: Korean Morphological Analysis and Hangul Utilities
Version: 0.1.1
Maintainer: Jonghyeon Park <jng.hyn.park@gmail.com>
Description: Provides Korean morphological analysis, part-of-speech (POS) tagging, noun extraction, Hangul (Korean script) conversion utilities, concordance search, mutual information statistics, and user dictionary management tools for Korean text research. The morphological analyzer backend is derived from the 'KoNLP' package and the 'HanNanum' analyzer, and is reimplemented in native C so that no Java runtime is required. Bundled dictionary and statistical resources allow analysis to work out of the box, and optional dictionaries can be loaded at runtime from the 'Sejong' and 'NIADic' packages when they are installed and loaded.
License: GPL-3
Copyright: See inst/COPYRIGHTS for bundled third-party code and data.
URL: https://github.com/ShapeLayer/HanNLP
BugReports: https://github.com/ShapeLayer/HanNLP/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: utils
NeedsCompilation: yes
Packaged: 2026-09-21 09:22:36 UTC; runner
Author: Jonghyeon Park [aut, cre], Heewon Jeon [aut], Taekyung Kim [ctb], Semantic Web Research Center, KAIST [cph]
Repository: CRAN
Date/Publication: 2026-09-30 09:40:19 UTC

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New package fastsae with initial version 0.1.0
Package: fastsae
Title: Fast Implementation of Small Area Estimation Methods
Version: 0.1.0
Description: Provides high-performance implementations of Small Area Estimation (SAE) methods leveraging C++ ('Rcpp', 'RcppArmadillo') and 'OpenMP' multi-threading. Supports standard area-level Fay-Herriot models (Fay and Herriot, 1979 <doi:10.1080/01621459.1979.10482505>), Spatial Fay-Herriot models (Pratesi and Salvati, 2008 <doi:10.1002/env.861>), Spatio-Temporal Fay-Herriot models (Marhuenda et al., 2013 <doi:10.1016/j.csda.2013.01.016>), and unit-level Battese-Harter-Fuller models (Battese et al., 1988 <doi:10.1080/01621459.1988.10478561>). Features include empirical best linear unbiased prediction (EBLUP), analytical and bootstrap Mean Squared Error (MSE) estimation, automatic handling of unsampled domains, and modern S3 diagnostic methods.
License: GPL (>= 3)
URL: https://ridsonap.github.io/fastsae/, https://github.com/ridsonap/fastsae
BugReports: https://github.com/ridsonap/fastsae/issues
Encoding: UTF-8
LazyData: true
Imports: cli, ggplot2, lme4, methods, Rcpp, rlang, stats, utils
Suggests: doParallel, dplyr, emdi, foreach, MASS, parallel, sae, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 4.1.0)
NeedsCompilation: yes
Packaged: 2026-09-21 13:12:35 UTC; macbook
Author: Ridson Al Farizal P [aut, cre, cph] , Azka Ubaidillah [aut]
Maintainer: Ridson Al Farizal P <alfrzlp@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-30 09:50:02 UTC

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New package cncleanr with initial version 0.2.5
Package: cncleanr
Title: Parse Compact Numbers in Chinese Data
Version: 0.2.5
Description: Parses compact numeric values, qualified quantities, and ranges commonly found in Chinese tables and spreadsheets. It handles Chinese magnitude suffixes, currencies, percentages, full-width characters, financial negatives, and configurable missing-value markers while reporting values that cannot be parsed safely.
License: MIT + file LICENSE
URL: https://github.com/Jorungandr/cncleanr
BugReports: https://github.com/Jorungandr/cncleanr/issues
Encoding: UTF-8
Language: en-US
Suggests: spelling, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-21 04:37:14 UTC; ASUS
Author: Haotian Liu [aut, cre, cph]
Maintainer: Haotian Liu <wyvern06@163.com>
Repository: CRAN
Date/Publication: 2026-09-30 09:30:02 UTC

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New package classbound with initial version 1.0.0
Package: classbound
Title: Visualization for Classification Decision Boundaries
Version: 1.0.0
Description: Exploring, visualizing, and comparing classification decision boundaries. Provides a unified interface for fitting classifiers and rendering 2D decision boundary plots, with support for 2D slice visualization (fixing non-plotted dimensions at reference values) and projection-based visualization for high-dimensional data (including Principal Component Analysis (PCA) and tour projections from the 'tourr' package). Supports native 'R' classifiers, 'tidymodels' workflows, and custom user-supplied models via a flexible adapter system. Includes an interactive 'Shiny' application ('explorapp') for visual exploration, data simulation, drawing, model comparison, probability surfaces, and reproducible exports.
License: GPL (>= 2)
URL: https://github.com/natydasilva/classbound, https://natydasilva.github.io/classbound/
LazyData: yes
Depends: R (>= 4.3.0)
Imports: class, ggplot2, rlang, ggnewscale, shiny, DT, RColorBrewer
Suggests: tidymodels, workflowsets, workflows, parsnip, tourr, rpart, roxygen2 (>= 7.3.0), PPtreeViz, PPtreeExt, ppforest2, randomForest, testthat (>= 3.0.0), knitr, rmarkdown, palmerpenguins, e1071, MixSim, MASS, jsonlite
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-20 18:35:46 UTC; Manihar
Author: Vaibhav Manihar [aut, cre], Natalia da Silva [aut] , Ignacio Alvarez-Castro [aut]
Maintainer: Vaibhav Manihar <vaibhav.manihar@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-30 09:10:15 UTC

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New package ACRER with initial version 1.0.1
Package: ACRER
Title: Accessibility for Recreation in R
Version: 1.0.1
Date: 2026-09-21
Description: Recreation model that simulates household types, group types, expected visiting duration, and total visits from city zip codes to surrounding destination areas. The methodology is based on the accessibility model described in Bervaes et al. (1996) "Een model voor het gebruik van de groene ruimte in stadslandschappen (Fase I)" <https://www.wur.nl/en/library>, with optimization procedures based on Goldfarb and Idnani (1983) <doi:10.1007/BF02591962> and Vanderbei et al. (1986) <doi:10.1007/BF01840454>.
Depends: R (>= 3.5.0)
License: GPL (>= 3)
Encoding: UTF-8
Imports: DBI, data.table, dplyr, knitr, pivottabler, magrittr, quadprog, reshape2, RSQLite, sf, sqldf, tibble, pracma
Suggests: testthat (>= 3.0.0), rmarkdown, curl, DT, mapview, WriteXLS, flextable, ggmap, htmltools, htmlwidgets, kableExtra, openxlsx, pander, rstudioapi, svDialogs
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-21 13:39:55 UTC; georgiosmartakis
Author: Georgios Martakis [aut, cre], Jan Bervaes [ctb] , Bert van der Werf [ctb]
Maintainer: Georgios Martakis <georgios.martakis@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-30 09:50:09 UTC

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Package whep (with last version 0.3.0) was removed from CRAN

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

2026-03-03 0.3.0
2025-10-15 0.2.0
2025-07-25 0.1.0

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