Tue, 14 Apr 2026

Package vandalico updated to version 0.2.2 with previous version 0.2.1 dated 2026-01-08

Title: Evaluation of Presence-Absence Models
Description: Collection of functions to evaluate presence-absence models. It comprises functions to adjust discrimination statistics for the representativeness effect through case-weighting, along with functions for visualizing the outcomes. Originally outlined in: Jiménez-Valverde (2022) The uniform AUC: dealing with the representativeness effect in presence-absence models. Methods Ecol. Evol, 13, 1224-1236.
Author: Alberto Jimenez-Valverde [aut, cre]
Maintainer: Alberto Jimenez-Valverde <alberto.jimenez.valverde@gmail.com>

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Package svyROC updated to version 1.1.0 with previous version 1.0.0 dated 2024-10-25

Title: Estimation of the ROC Curve and the AUC for Complex Survey Data
Description: Estimate the receiver operating characteristic (ROC) curve, area under the curve (AUC) and optimal cut-off points for individual classification taking into account complex sampling designs when working with complex survey data. Methods implemented in this package are described in: A. Iparragirre, I. Barrio, I. Arostegui (2024) <doi:10.1002/sta4.635>; A. Iparragirre, I. Barrio, J. Aramendi, I. Arostegui (2022) <doi:10.2436/20.8080.02.121>; A. Iparragirre, I. Barrio (2024) <doi:10.1007/978-3-031-65723-8_7>.
Author: Amaia Iparragirre [aut, cre, cph] , Irantzu Barrio [aut], Inmaculada Arostegui [aut]
Maintainer: Amaia Iparragirre <amaia.iparragirre@ehu.eus>

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Package lavaangui updated to version 0.4.0 with previous version 0.3.2 dated 2025-11-30

Title: Graphical User Interface with Integrated 'Diagrammer' for 'Lavaan'
Description: Provides a graphical user interface with an integrated diagrammer for latent variable models from the 'lavaan' package. It offers two core functions: first, lavaangui() launches a web application that allows users to specify models by drawing path diagrams, fitting them, assessing model fit, and more; second, plot_lavaan() creates interactive path diagrams from models specified in 'lavaan'. After customizing a diagram interactively, export_plot() saves it to a file, enabling reproducible scripts without sacrificing fine-grained control over appearance. Karch (2024) <doi: 10.1080/10705511.2024.2420678> contains a tutorial.
Author: Julian D. Karch [aut, cre, cph]
Maintainer: Julian D. Karch <j.d.karch@fsw.leidenuniv.nl>

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Package insight updated to version 1.5.0 with previous version 1.4.6 dated 2026-02-04

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Vincent Arel-Bundock [aut, ctb] , Etienne Bacher [aut, ctb] , Ale [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

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Package MatchingPursuit updated to version 1.0.1 with previous version 1.0.0 dated 2026-04-09

Title: Processing Time Series Data Using the Matching Pursuit Algorithm
Description: Provides tools for analysing and decomposing time series data using the Matching Pursuit (MP) algorithm, a greedy signal decomposition technique that represents complex signals as a linear combination of simpler functions (called atoms) selected from a redundant dictionary. For more details see Mallat and Zhang (1993) <doi:10.1109/78.258082>, Pati et al. (1993) <doi:10.1109/ACSSC.1993.342465>, Elad (2010) <doi:10.1007/978-1-4419-7011-4> and Różański (2024) <doi:10.1145/3674832>.
Author: Artur Gramacki [aut, cre] , Jaroslaw Gramacki [ctb] , Piotr T. Rożanski [ctb]
Maintainer: Artur Gramacki <a.gramacki@gmail.com>

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Package maplegend updated to version 0.6.2 with previous version 0.6.1 dated 2026-04-10

Title: Legends for Maps
Description: Create legends for maps and other graphics. Thematic maps need to be accompanied by legible legends to be fully comprehensible. This package offers a wide range of legends useful for cartography, some of which may also be useful for other types of graphics.
Author: Timothee Giraud [cre, aut]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

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Package immunogenetr updated to version 1.2.0 with previous version 1.1.0 dated 2026-04-06

Title: A Comprehensive Toolkit for Clinical HLA Informatics
Description: A comprehensive toolkit for clinical Human Leukocyte Antigen (HLA) informatics, built on 'tidyverse' <https://tidyverse.tidyverse.org/> principles and making use of genotype list string (GL string, Mack et al. (2023) <doi:10.1111/tan.15126>) for storing and computing HLA genotype data. Specific functionalities include: coercion of HLA data in tabular format to and from GL string; calculation of matching and mismatching in all directions, with multiple output formats; automatic formatting of HLA data for searching within a GL string; truncation of molecular HLA data to a specific number of fields; and reading HLA genotypes in HML files and extracting the GL string. This library is intended for research use. Any application making use of this package in a clinical setting will need to be independently validated according to local regulations.
Author: Nicholas Brown [cre, aut] , Busra Coskun [aut]
Maintainer: Nicholas Brown <nicholas.brown@pennmedicine.upenn.edu>

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Package hpa updated to version 1.3.4 with previous version 1.3.3 dated 2023-11-29

Title: Distributions Hermite Polynomial Approximation
Description: Multivariate conditional and marginal densities, moments, cumulative distribution functions as well as binary choice and sample selection models based on the Hermite polynomial approximation which was proposed and described by A. Gallant and D. W. Nychka (1987) <doi:10.2307/1913241>.
Author: Bogdan Potanin [aut, cre, ctb], Sofiia Dolgikh [ctb]
Maintainer: Bogdan Potanin <bogdanpotanin@gmail.com>

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

Title: Pretty 'ggplot2' Themes
Description: A set of complete 'ggplot2' themes and refine functions for plot appearance. The themes are designed to work seamlessly with the refine functions, which adjust gridlines and axis elements to suit the particulars of a plot.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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Package bfboinet updated to version 1.0.0 with previous version 0.4.0 dated 2025-06-03

Title: Backfill Bayesian Optimal Interval Design Using Efficacy and Toxicity
Description: Implements the Backfill Bayesian Optimal Interval Design (BF-BOIN-ET), a novel clinical trial methodology for dose optimization that simultaneously consider both efficacy and toxicity outcome as described in (Takeda et al (2025) <doi:10.1002/pst.2470>). The package has been extended to include a seamless two-stage phase I/II trial design with backfill and joint efficacy and toxicity monitoring as described in (Takeda et al (2026) <doi:10.1002/pst.70092>).
Author: Jing Zhu [cre, aut], Kentaro Takeda [aut], Yimer Belay Birlie [aut]
Maintainer: Jing Zhu <zhujing716@gmail.com>

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Package osmextract updated to version 0.6.0 with previous version 0.5.3 dated 2025-04-09

Title: Download and Import Open Street Map Data Extracts
Description: Match, download, convert and import Open Street Map data extracts obtained from several providers.
Author: Andrea Gilardi [aut, cre] , Robin Lovelace [aut] , Barry Rowlingson [ctb] , Salva Fernandez [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/395>), Nicholas Potter [rev] for rOpenSci, see <https://github.com/ropensci/soft [...truncated...]
Maintainer: Andrea Gilardi <andrea.gilardi@unimib.it>

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Package obr readmission to version 0.2.5 with previous version 0.2.4 dated 2026-03-17

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

This is a re-admission after prior archival of version 0.2.4 dated 2026-03-17

Diff between obr versions 0.2.4 dated 2026-03-17 and 0.2.5 dated 2026-04-14

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More information about obr at CRAN
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Package LitFetchR updated to version 0.2.2 with previous version 0.2.1 dated 2026-02-10

Title: Automatically Fetching References Metadata from Literature Databases
Description: Provides functions to automatically retrieve and deduplicate reference metadata based on saved search strings. Access to Web of Science and Scopus requires personal API keys, while PubMed can be queried without one. The optional deduplication functionality requires the package 'ASySD' available from <https://github.com/camaradesuk/ASySD>.
Author: Thomas Dumond [cre, aut, cph] , Charles Caraguel [ctb] , Torben Nielsen [ctb]
Maintainer: Thomas Dumond <thomas.dumond@adelaide.edu.au>

Diff between LitFetchR versions 0.2.1 dated 2026-02-10 and 0.2.2 dated 2026-04-14

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Package DCEM readmission to version 2.0.6 with previous version 2.0.5 dated 2022-01-15

Title: Clustering Big Data using Expectation Maximization Star (EM*) Algorithm
Description: Implements the Improved Expectation Maximisation EM* and the traditional EM algorithm for clustering big data (gaussian mixture models for both multivariate and univariate datasets). This version implements the faster alternative-EM* that expedites convergence via structure based data segregation. The implementation supports both random and K-means++ based initialization. Reference: Parichit Sharma, Hasan Kurban, Mehmet Dalkilic (2022) <doi:10.1016/j.softx.2021.100944>. Hasan Kurban, Mark Jenne, Mehmet Dalkilic (2016) <doi:10.1007/s41060-017-0062-1>.
Author: Sharma Parichit [aut, cre, ctb], Kurban Hasan [aut, ctb], Dalkilic Mehmet [aut]
Maintainer: Sharma Parichit <parishar@iu.edu>

This is a re-admission after prior archival of version 2.0.5 dated 2022-01-15

Diff between DCEM versions 2.0.5 dated 2022-01-15 and 2.0.6 dated 2026-04-14

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Package impectR updated to version 2.5.5 with previous version 2.5.4 dated 2026-02-16

Title: Access Data from the 'Impect' API
Description: Pull data from the 'Impect' Customer API <https://glossary.impect.com/api-design>. The package can retrieve data such as events or match sums.
Author: Impect GmbH [cph], Florian Schmitt [aut, cre], Thomas Walentin [ctb]
Maintainer: Florian Schmitt <florian.schmitt@impect.com>

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Package stlplus updated to version 0.5.2 with previous version 0.5.1 dated 2016-01-06

Title: Enhanced Seasonal Decomposition of Time Series by Loess
Description: Decompose a time series into seasonal, trend, and remainder components using an implementation of Seasonal Decomposition of Time Series by Loess (STL) that provides several enhancements over the STL method in the stats package. These enhancements include handling missing values, providing higher order (quadratic) loess smoothing with automated parameter choices, frequency component smoothing beyond the seasonal and trend components, and some basic plot methods for diagnostics.
Author: Ryan Hafen [aut, cre]
Maintainer: Ryan Hafen <rhafen@gmail.com>

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Package cancensus updated to version 0.6.0 with previous version 0.5.10 dated 2025-11-05

Title: Access, Retrieve, and Work with Canadian Census Data and Geography
Description: Integrated, convenient, and uniform access to Canadian Census data and geography retrieved using the 'CensusMapper' API. This package produces analysis-ready tidy data frames and spatial data in multiple formats, as well as convenience functions for working with Census variables, variable hierarchies, and region selection. API keys are freely available with free registration at <https://censusmapper.ca/api>. Census data and boundary geometries are reproduced and distributed on an "as is" basis with the permission of Statistics Canada (Statistics Canada 1996; 2001; 2006; 2011; 2016; 2021).
Author: Jens von Bergmann [aut] , Dmitry Shkolnik [aut, cre] , Aaron Jacobs [aut]
Maintainer: Dmitry Shkolnik <shkolnikd@gmail.com>

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Mon, 13 Apr 2026

Package twbparser updated to version 0.4.0 with previous version 0.3.1 dated 2025-12-10

Title: Parse 'Tableau' Workbooks into Functional Data
Description: High-performance parsing of 'Tableau' workbook files into tidy data frames and dependency graphs for other visualization tools like R 'Shiny' or 'Power BI' replication.
Author: George Arthur [aut, cre]
Maintainer: George Arthur <prigasgenthian48@gmail.com>

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Package geocodebr updated to version 0.6.2 with previous version 0.6.1 dated 2026-01-27

Title: Geolocalização De Endereços Brasileiros (Geocoding Brazilian Addresses)
Description: Método simples e eficiente de geolocalizar dados no Brasil. O pacote é baseado em conjuntos de dados espaciais abertos de endereços brasileiros, utilizando como fonte principal o Cadastro Nacional de Endereços para Fins Estatísticos (CNEFE). O CNEFE é publicado pelo Instituto Brasileiro de Geografia e Estatística (IBGE), órgão oficial de estatísticas e geografia do Brasil. (A simple and efficient method for geolocating data in Brazil. The package is based on open spatial datasets of Brazilian addresses, primarily using the Cadastro Nacional de Endereços para Fins Estatísticos (CNEFE), published by the Instituto Brasileiro de Geografia e Estatística (IBGE), Brazil's official statistics and geography agency.)
Author: Rafael H. M. Pereira [aut, cre] , Daniel Herszenhut [aut] , Gabriel Garcia de Almeida [aut] , Arthur Bazolli [ctb], Pedro Milreu Cunha [ctb], ITpS - Instituto Todos pela Saude [fnd], Ipea - Instituto de Pesquisa Economica Aplicada [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

Diff between geocodebr versions 0.6.1 dated 2026-01-27 and 0.6.2 dated 2026-04-13

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Package wizaRdry updated to version 0.6.7 with previous version 0.6.6 dated 2026-03-09

Title: A Magical Framework for Collaborative & Reproducible Data Analysis
Description: A comprehensive data analysis framework for NIH-funded research that streamlines workflows for both data cleaning and preparing NIH Data Archive ('NDA') submission templates. Provides unified access to multiple data sources ('REDCap', 'MongoDB', 'Qualtrics', 'SQL', 'ORACLE') through interfaces to their APIs, with specialized functions for data cleaning, filtering, merging, and parsing. Features automatic validation, field harmonization, and memory-aware processing to enhance reproducibility in multi-site collaborative research as described in Mittal et al. (2021) <doi:10.20900/jpbs.20210011>.
Author: Joshua G. Kenney [aut, cre], Trevor F. Williams [aut], Minerva K. Pappu [aut], Michael J. Spilka [aut], Danielle N. Pratt [ctb], Victor J. Pokorny [ctb], Santiago Castiello de Obeso [ctb], Praveen Suthaharan [ctb], Christian R. Horgan [ctb]
Maintainer: Joshua G. Kenney <joshua.kenney@yale.edu>

Diff between wizaRdry versions 0.6.6 dated 2026-03-09 and 0.6.7 dated 2026-04-13

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Package syncdr updated to version 0.1.2 with previous version 0.1.1 dated 2026-01-27

Title: Facilitate File Handling, Directory Comparison & Synchronization
Description: Compare directories flexibly (by date, content, or both) and synchronize files efficiently, with asymmetric and symmetric modes, helper tools, and visualization support for file management.
Author: R.Andres Castaneda [aut], Rossana Tatulli [aut, cre], Global Poverty and Inequality Data Team World Bank [cph]
Maintainer: Rossana Tatulli <rtatulli@worldbank.org>

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Package RcmdrPlugin.UCA updated to version 5.1-3 with previous version 5.1-2 dated 2024-09-26

Title: UCA Rcmdr Plug-in
Description: Some extensions to Rcmdr (R Commander), randomness test, variance test for one normal sample and predictions using active model, made by R-UCA project and used in teaching statistics at University of Cadiz (UCA).
Author: Manuel Munoz-Marquez [aut, cre]
Maintainer: Manuel Munoz-Marquez <manuel.munoz@uca.es>

Diff between RcmdrPlugin.UCA versions 5.1-2 dated 2024-09-26 and 5.1-3 dated 2026-04-13

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Package cpfa updated to version 1.2-8 with previous version 1.2-7 dated 2026-03-29

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

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Package BFpack updated to version 1.6.0 with previous version 1.5.3 dated 2026-01-10

Title: Flexible Bayes Factor Testing of Scientific Expectations
Description: Implementation of default Bayes factors for testing statistical hypotheses under various statistical models. The package is intended for applied quantitative researchers in the social and behavioral sciences, medical research, and related fields. The Bayes factor tests can be executed for statistical models such as univariate and multivariate normal linear models, correlation analysis, generalized linear models, special cases of linear mixed models, survival models, relational event models. Parameters that can be tested are location parameters (e.g., group means, regression coefficients), variances (e.g., group variances), and measures of association (e.g,. polychoric/polyserial/biserial/tetrachoric/product moments correlations), among others. Relevant references on the methodology The statistical underpinnings are described in O'Hagan (1995) <DOI:10.1111/j.2517-6161.1995.tb02017.x>, Mulder and Xin (2022) <DOI:10.1080/00273171.2021.1904809>, Mulder and Gelissen (2019) <D [...truncated...]
Author: Joris Mulder [aut, cre], Caspar van Lissa [aut, ctb], Donald R. Williams [aut, ctb], Xin Gu [aut, ctb], Anton Olsson-Collentine [aut, ctb], Florian Boeing-Messing [aut, ctb], Jean-Paul Fox [aut, ctb], Janosch Menke [ctb], Robbie van Aert [ctb], Barry [...truncated...]
Maintainer: Joris Mulder <j.mulder3@tilburguniversity.edu>

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Package eddington updated to version 4.3.0 with previous version 4.2.0 dated 2024-08-16

Title: Compute a Cyclist's Eddington Number
Description: Compute a cyclist's Eddington number, including efficiently computing cumulative E over a vector. A cyclist's Eddington number <https://en.wikipedia.org/wiki/Arthur_Eddington#Eddington_number_for_cycling> is the maximum number satisfying the condition such that a cyclist has ridden E miles or greater on E distinct days. The algorithm in this package is an improvement over the conventional approach because both summary statistics and cumulative statistics can be computed in linear time, since it does not require initial sorting of the data. These functions may also be used for computing h-indices for authors, a metric described by Hirsch (2005) <doi:10.1073/pnas.0507655102>. Both are specific applications of computing the side length of a Durfee square <https://en.wikipedia.org/wiki/Durfee_square>. Some additional author-level metrics such as g-index and i10-index are also included in the package.
Author: Paul Egeler [aut, cre], Tashi Reigle [ctb]
Maintainer: Paul Egeler <paulegeler@gmail.com>

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Package TrialSimulator updated to version 1.16.0 with previous version 1.10.0 dated 2026-02-15

Title: Clinical Trial Simulator
Description: Simulate phase II and/or phase III clinical trials. It supports various types of endpoints and adaptive strategies. Tools for carrying out graphical testing procedure and combination test under group sequential design are also provided.
Author: Han Zhang [cre, aut]
Maintainer: Han Zhang <zhangh.ustc@gmail.com>

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Package toml updated to version 1.1.0 with previous version 1.0.0 dated 2025-10-16

Title: Read, Write, and Modify TOML Files
Description: Simple toolkit for working with TOML text. Based on tomledit which allows for modifying TOML while preserving order, comments,and whitespace.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package Pursuit updated to version 1.1.0 with previous version 1.0.9 dated 2025-04-18

Title: Projection Pursuit
Description: Projection pursuit (PP) with 17 methods and grand tour with 3 methods. Being that projection pursuit searches for low-dimensional linear projections in high-dimensional data structures, while grand tour is a technique used to explore multivariate statistical data through animation.
Author: Paulo Cesar Ossani [aut, cre] , Marcelo Angelo Cirillo [aut]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package nflreadr updated to version 1.5.1 with previous version 1.5.0 dated 2025-09-02

Title: Download 'nflverse' Data
Description: A minimal package for downloading data from 'GitHub' repositories of the 'nflverse' project.
Author: Tan Ho [aut, cre, cph] , Sebastian Carl [aut], John Edwards [ctb], Ben Baldwin [ctb], Thomas Mock [ctb], Lee Sharpe [ctb], Pranav Rajaram [ctb]
Maintainer: Tan Ho <tan@tanho.ca>

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Package MVar.pt updated to version 2.2.8 with previous version 2.2.7 dated 2025-04-18

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

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Package MVar updated to version 2.2.8 with previous version 2.2.7 dated 2025-04-18

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

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Package multinma updated to version 0.9.0 with previous version 0.8.1 dated 2025-05-30

Title: Bayesian Network Meta-Analysis of Individual and Aggregate Data
Description: Network meta-analysis and network meta-regression models for aggregate data, individual patient data, and mixtures of both individual and aggregate data using multilevel network meta-regression as described by Phillippo et al. (2020) <doi:10.1111/rssa.12579>. Models are estimated in a Bayesian framework using 'Stan'.
Author: David M. Phillippo [aut, cre] , Samuel J. Perren [ctb] , Niels Dunnewind [ctb]
Maintainer: David M. Phillippo <david.phillippo@bristol.ac.uk>

Diff between multinma versions 0.8.1 dated 2025-05-30 and 0.9.0 dated 2026-04-13

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Package MFAg updated to version 2.3 with previous version 2.2 dated 2025-04-18

Title: Multiple Factor Analysis (MFA)
Description: Performs Multiple Factor Analysis method for quantitative, categorical, frequency and mixed data, in addition to generating a lot of graphics, also has other useful functions.
Author: Paulo Cesar Ossani [aut, cre] , Marcelo Angelo Cirillo [aut]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

Diff between MFAg versions 2.2 dated 2025-04-18 and 2.3 dated 2026-04-13

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Package Kira updated to version 1.0.8 with previous version 1.0.7 dated 2025-04-18

Title: Machine Learning
Description: Machine learning, containing several algorithms for supervised and unsupervised classification, in addition to a function that plots the Receiver Operating Characteristic (ROC) and Precision-Recall (PRC) curve graphs, and also a function that returns several metrics used for model evaluation, the latter can be used in ranking results from other packs.
Author: Paulo Cesar Ossani [aut, cre]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

Diff between Kira versions 1.0.7 dated 2025-04-18 and 1.0.8 dated 2026-04-13

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Package duckdb updated to version 1.5.2 with previous version 1.5.1 dated 2026-03-26

Title: DBI Package for the DuckDB Database Management System
Description: The DuckDB project is an embedded analytical data management system with support for the Structured Query Language (SQL). This package includes all of DuckDB and an R Database Interface (DBI) connector.
Author: Hannes Muehleisen [aut] , Mark Raasveldt [aut] , Kirill Mueller [cre] , Stichting DuckDB Foundation [cph], Apache Software Foundation [cph], PostgreSQL Global Development Group [cph], The Regents of the University of California [cph], Cameron Desrocher [...truncated...]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package connectapi updated to version 0.12.0 with previous version 0.11.1 dated 2026-03-21

Title: Utilities for Interacting with the 'Posit Connect' Server API
Description: Provides a helpful 'R6' class and methods for interacting with the 'Posit Connect' Server API along with some meaningful utility functions for regular tasks. API documentation varies by 'Posit Connect' installation and version, but the latest documentation is also hosted publicly at <https://docs.posit.co/connect/api/>.
Author: Kara Woo [aut, cre], Toph Allen [aut], Neal Richardson [aut], Sean Lopp [aut], Cole Arendt [aut], Posit, PBC [cph, fnd]
Maintainer: Kara Woo <kara.woo@posit.co>

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Package Blendstat updated to version 1.0.6 with previous version 1.0.5 dated 2024-06-21

Title: Joint Analysis of Experiments with Mixtures and Random Effects
Description: Performs a joint analysis of experiments with mixtures and random effects, taking on a process variable represented by a covariable.
Author: Paulo Cesar Ossani [aut, cre] , Marcelo Angelo Cirillo [aut]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

Diff between Blendstat versions 1.0.5 dated 2024-06-21 and 1.0.6 dated 2026-04-13

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Package auth0 updated to version 0.3.0 with previous version 0.2.3 dated 2023-03-26

Title: Authentication in Shiny with Auth0
Description: Uses Auth0 API (see <https://auth0.com> for more information) to use a simple authentication system. It provides tools to log in and out a shiny application using social networks or a list of e-mails.
Author: Julio Trecenti [cre], Daniel Falbel [aut], Jose Jesus [ctb], Dean Attali [ctb], William Amorim [ctb], C Lente [ctb]
Maintainer: Julio Trecenti <julio.trecenti@gmail.com>

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Package AIscreenR updated to version 0.3.1 with previous version 0.3.0 dated 2026-04-13

Title: AI Screening Tools in R for Systematic Reviewing
Description: Provides functions to conduct title and abstract screening in systematic reviews using large language models, such as the Generative Pre-trained Transformer (GPT) models from 'OpenAI' <https://developers.openai.com/>. These functions can enhance the quality of title and abstract screenings while reducing the total screening time significantly. In addition, the package includes tools for quality assessment of title and abstract screenings, as described in Vembye, Christensen, Mølgaard, and Schytt (2025) <DOI:10.1037/met0000769>.
Author: Mikkel H. Vembye [aut, cre] , Thomas Olsen [aut]
Maintainer: Mikkel H. Vembye <mikkel.vembye@gmail.com>

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Package mcca updated to version 0.8.2 with previous version 0.8.1 dated 2026-02-17

Title: Multi-Category Classification Accuracy
Description: It contains six common multi-category classification accuracy evaluation measures. All of these measures could be found in Li and Ming (2019) <doi:10.1002/sim.8103>. Specifically, Hypervolume Under Manifold (HUM), described in Li and Fine (2008) <doi:10.1093/biostatistics/kxm050>. Correct Classification Percentage (CCP), Integrated Discrimination Improvement (IDI), Net Reclassification Improvement (NRI), R-Squared Value (RSQ), described in Li, Jiang and Fine (2013) <doi:10.1093/biostatistics/kxs047>. Polytomous Discrimination Index (PDI), described in Van Calster et al. (2012) <doi:10.1007/s10654-012-9733-3>. Li et al. (2018) <doi:10.1177/0962280217692830>. PDI with variance estimation using Dover et al. (2021) <doi:10.1002/sim.9187>. We described all these above measures and our mcca package in Li, Gao and D'Agostino (2019) <doi:10.1002/sim.8103>.
Author: Ming Gao [aut], Jialiang Li [aut, cre], Pan Liu [aut], Ben Van Calster [aut]
Maintainer: Jialiang Li <stalj@nus.edu.sg>

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Package depCensoring updated to version 0.1.10 with previous version 0.1.8 dated 2025-11-06

Title: Statistical Methods for Survival Data with Dependent Censoring
Description: Several statistical methods for analyzing survival data under various forms of dependent censoring are implemented in the package. In addition to accounting for dependent censoring, it offers tools to adjust for unmeasured confounding factors. The implemented approaches allow users to estimate the dependency between survival time and dependent censoring time, based solely on observed survival data. For more details on the methods, refer to Deresa and Van Keilegom (2021) <doi:10.1093/biomet/asaa095>, Czado and Van Keilegom (2023) <doi:10.1093/biomet/asac067>, Crommen et al. (2024) <doi:10.1007/s11749-023-00903-9>, Deresa and Van Keilegom (2024) <doi:10.1080/01621459.2022.2161387>, Willems et al. (2025) <doi:10.48550/arXiv.2403.11860>, Ding and Van Keilegom (2025) and D'Haen et al. (2025) <doi:10.1007/s10985-025-09647-0>.
Author: Ilias Willems [aut] , Gilles Crommen [aut] , Negera Wakgari Deresa [aut, cre] , Jie Ding [aut] , Claudia Czado [aut] , Myrthe D'Haen [aut] , Ingrid Van Keilegom [aut]
Maintainer: Negera Wakgari Deresa <negera.deresa@gmail.com>

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Package uteals updated to version 0.0.3 with previous version 0.0.2 dated 2026-02-17

Title: Shared Utilities to Extend the 'teal' Modules
Description: Provides decorators, transformators, and utility functions to extend the 'teal' framework for interactive data analysis applications. Implements methods for data visualization enhancement, statistical data transformations, and workflow integration tools. Designed to support clinical and pharmaceutical research workflows within the 'teal' ecosystem through modular and reusable components.
Author: Nadia Abraham [aut], Chanchal Bhalla [aut], Peyman Eshghi [aut, cre], Pranith Gourisetty [aut], Sohan Lal [aut], Przemyslaw Posiadala [aut], Alina Tselinina [aut], Konrad Pagacz [aut], PHUSE [cph]
Maintainer: Peyman Eshghi <peymaan.es@gmail.com>

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Package lgspline updated to version 1.0.2 with previous version 1.0.1 dated 2026-03-15

Title: Lagrangian Multiplier Smoothing Splines for Smooth Function Estimation
Description: Implements Lagrangian multiplier smoothing splines for flexible nonparametric regression and function estimation. Provides tools for fitting, prediction, and inference using a constrained optimization approach to enforce smoothness. Supports generalized linear models, Weibull accelerated failure time (AFT) models, quadratic programming constraints, and customizable working-correlation structures, with options for parallel fitting. The core spline construction builds on Ezhov et al. (2018) <doi:10.1515/jag-2017-0029>. Quadratic-programming and SQP details follow Goldfarb & Idnani (1983) <doi:10.1007/BF02591962> and Nocedal & Wright (2006) <doi:10.1007/978-0-387-40065-5>. For smoothing spline and penalized spline background, see Wahba (1990) <doi:10.1137/1.9781611970128> and Wood (2017) <doi:10.1201/9781315370279>. For variance-component and correlation-parameter estimation, see Searle et al. (2006) <ISBN:978-0470009598>. The default multivaria [...truncated...]
Author: Matthew Davis [aut, cre]
Maintainer: Matthew Davis <matthewlouisdavis@gmail.com>

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

Title: Automated Mendelian Randomization Workflows and Visualizations
Description: Provides tools to summarize, analyze, and visualize results from Mendelian randomization studies using summarized genetic association data. The package includes functions for generating forest plots and scatter plots at the single-nucleotide polymorphism and Mendelian randomization method levels, and for fitting multiple estimators in a unified workflow, including inverse-variance weighted estimation, Mendelian randomization Egger regression, the weighted median estimator, the robust adjusted profile score, Mendelian randomization pleiotropy residual sum and outlier, Mendelian randomization with the genotype recoding invariance property, and a Bayesian horseshoe method. Related methods are described by Burgess (2013) <doi:10.1002/gepi.21758>, Bowden (2015) <doi:10.1093/ije/dyv080>, Bowden (2016) <doi:10.1002/gepi.21965>, Zhao (2020) <doi:10.1214/19-AOS1866>, Verbanck (2018) <doi:10.1038/s41588-018-0099-7>, Dudbridge (2025) <doi:10.1371/journal.pgen.1011 [...truncated...]
Author: Kelin Zhong [aut, cre], Chia-Ling Kuo [aut]
Maintainer: Kelin Zhong <kelinzhonguconn@gmail.com>

Diff between autoMR versions 1.0.0 dated 2026-04-04 and 1.1.0 dated 2026-04-13

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Package EGAnet updated to version 2.4.1 with previous version 2.4.0 dated 2025-12-06

Title: Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics
Description: Implements the Exploratory Graph Analysis (EGA) framework for dimensionality and psychometric assessment. EGA estimates the number of dimensions in psychological data using network estimation methods and community detection algorithms. A bootstrap method is provided to assess the stability of dimensions and items. Fit is evaluated using the Entropy Fit family of indices. Unique Variable Analysis evaluates the extent to which items are locally dependent (or redundant). Network loadings provide similar information to factor loadings and can be used to compute network scores. A bootstrap and permutation approach are available to assess configural and metric invariance. Hierarchical structures can be detected using Hierarchical EGA. Time series and intensive longitudinal data can be analyzed using Dynamic EGA, supporting individual, group, and population level assessments.
Author: Hudson Golino [aut, cre] , Alexander Christensen [aut] , Robert Moulder [ctb] , Luis E. Garrido [ctb] , Laura Jamison [ctb] , Dingjing Shi [ctb] , John Fox [cph, ctb] , Yves Rosseel [cph, ctb] , Alexander Robitzsch [cph, ctb] , David Blackman [ctb] , [...truncated...]
Maintainer: Hudson Golino <hfg9s@virginia.edu>

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Package string2path updated to version 0.3.0 with previous version 0.2.2 dated 2025-03-25

Title: Rendering Font into 'data.frame'
Description: Extract glyph information from font data, and translate the outline curves to flattened paths or tessellated polygons. The converted data is returned as a 'data.frame' in easy-to-plot format.
Author: Hiroaki Yutani [aut, cre] , The authors of the dependency Rust crates [ctb]
Maintainer: Hiroaki Yutani <yutani.ini@gmail.com>

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Package ItemRest updated to version 0.2.4 with previous version 0.2.3 dated 2025-10-09

Title: Automated Item Removal Strategies for Exploratory Factor Analysis
Description: Automates the identification and comparative evaluation of item-removal strategies in exploratory factor analysis, producing transparent summaries (explained variance, loading ranges, reliability) to support comfortable, reproducible decisions. The criteria are based on best practices and established heuristics (e.g., Costello & Osborne (2005) <doi:10.7275/jyj1-4868>, Howard (2016) <doi:10.1080/10447318.2015.1087664>). Includes flexible thresholds for factor loadings (min_loading) and cross-loading differences (loading_diff).
Author: Ahmet Caliskan [aut, cre], Abdullah Faruk Kilic [aut]
Maintainer: Ahmet Caliskan <ahmetcaliskan1987@gmail.com>

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Package causalDisco updated to version 1.1.0 with previous version 1.0.1 dated 2026-02-24

Title: Tools for Causal Discovery on Observational Data
Description: Tools for causal structure learning from observational data, with emphasis on temporally ordered variables. The package implements the Temporal Peter–Clark (TPC) algorithm (Petersen, Osler & Ekstrøm, 2021; <doi:10.1093/aje/kwab087>), the Temporal Greedy Equivalence Search (TGES) algorithm (Larsen, Ekstrøm & Petersen, 2025; <doi:10.48550/arXiv.2502.06232>) and Temporal Fast Causal Inference (TFCI). It provides a unified framework for specifying background knowledge, which can be incorporated into the implemented algorithms from the R packages 'bnlearn' (Scutari, 2010; <doi:10.18637/jss.v035.i03>) and 'pcalg' (Kalish et al., 2012; <doi:10.18637/jss.v047.i11>), as well as the Java library 'Tetrad' (Scheines et al., 1998; <doi:10.1207/s15327906mbr3301_3>). The package further includes utilities for visualization, comparison, and evaluation of graph structures, facilitating performance evaluation and methodological studies.
Author: Bjarke Hautop Kristensen [aut, cre], Frederik Fabricius-Bjerre [aut], Anne Helby Petersen [aut], Claus Thorn Ekstroem [aut], Tobias Ellegaard Larsen [ctb]
Maintainer: Bjarke Hautop Kristensen <bjarke.kristensen@sund.ku.dk>

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Package mixedBayes updated to version 0.2.4 with previous version 0.2.3 dated 2026-03-16

Title: Bayesian Longitudinal Regularized Quantile Mixed Model
Description: With high-dimensional omics features, repeated measure ANOVA leads to longitudinal gene-environment interaction studies that have intra-cluster correlations, outlying observations and structured sparsity arising from the ANOVA design. In this package, we have developed robust sparse Bayesian mixed effect models tailored for the above studies (Fan et al. (2025) <doi:10.1093/jrsssc/qlaf027>). An efficient Gibbs sampler has been developed to facilitate fast computation. The Markov chain Monte Carlo algorithms of the proposed and alternative methods are efficiently implemented in 'C++'. The development of this software package and the associated statistical methods have been partially supported by an Innovative Research Award from Johnson Cancer Research Center, Kansas State University.
Author: Kun Fan [aut, cre], Shejuty Devnath [aut], Cen Wu [aut]
Maintainer: Kun Fan <fzt0428@gmail.com>

Diff between mixedBayes versions 0.2.3 dated 2026-03-16 and 0.2.4 dated 2026-04-13

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Package MapperAlgo updated to version 1.1.0 with previous version 1.0.9 dated 2026-02-02

Title: Topological Data Analysis: Mapper Algorithm
Description: The Mapper algorithm from Topological Data Analysis, the steps are as follows 1. Define a filter (lens) function on the data. 2. Perform clustering within each level set. 3. Generate a complex from the clustering results.
Author: ChiChien Wang [aut, cre, trl], Paul Pearson [ctb], Daniel Muellner [ctb], Gurjeet Singh [ctb]
Maintainer: ChiChien Wang <kennywang2003@gmail.com>

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Package EEMDlstm readmission to version 1.0.1 with previous version 0.1.0 dated 2022-09-26

Title: EEMD Based LSTM Model for Time Series Forecasting
Description: Forecasting univariate time series with ensemble empirical mode decomposition (EEMD) with long short-term memory (LSTM). For method details see Jaiswal, R. et al. (2022). <doi:10.1007/s00521-021-06621-3>.
Author: Kapil Choudhary [aut], Girish Kumar Jha [aut, ths, ctb], Ronit Jaiswal [ctb, cre], Rajeev Ranjan Kumar [ctb]
Maintainer: Ronit Jaiswal <ronitjaiswal2912@gmail.com>

This is a re-admission after prior archival of version 0.1.0 dated 2022-09-26

Diff between EEMDlstm versions 0.1.0 dated 2022-09-26 and 1.0.1 dated 2026-04-13

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Package shinyGovstyle updated to version 0.2.0 with previous version 0.1.1 dated 2026-01-08

Title: Custom Gov Style Inputs for Shiny
Description: Collection of 'shiny' application styling that are based on the GOV.UK Design System. See <https://design-system.service.gov.uk/components/> for details.
Author: Ross Wyatt [aut], Cam Race [aut, cre], Sarah Wong [aut], Richard Bielby [ctb], Charlotte Foster [ctb], Jeni Martin [ctb], Andrew Baker [ctb]
Maintainer: Cam Race <camrace8@gmail.com>

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Package multiScaleR updated to version 0.6.6 with previous version 0.5.0 dated 2026-03-26

Title: Methods for Optimizing Scales of Effect
Description: A tool for optimizing scales of effect when modeling ecological processes in space. Specifically, the scale parameter of a distance-weighted kernel distribution is identified for all environmental layers included in the model. Includes functions to assist in model selection, model evaluation, efficient transformation of raster surfaces using fast Fourier transformation, and projecting models. For more details see Peterman (2026) <doi:10.1007/s10980-025-02267-x>.
Author: Bill Peterman [aut, cre]
Maintainer: Bill Peterman <Peterman.73@osu.edu>

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Package BayesPower updated to version 1.0.4 with previous version 1.0.3 dated 2026-03-16

Title: Sample Size and Power Calculation for Bayesian Testing with Bayes Factor
Description: The goal of 'BayesPower' is to provide tools for Bayesian sample size determination and power analysis across a range of common hypothesis testing scenarios using Bayes factors. The main function, BayesPower_BayesFactor(), launches an interactive 'shiny' application for performing these analyses. The application also provides command-line code for reproducibility. Details of the methods are described in the tutorial by Wong, Pawel, and Tendeiro (2025) <doi:10.31234/osf.io/pgdac_v3>.
Author: Tsz Keung Wong [aut, cre], Samuel Pawel [aut], Jorge Tendeiro [aut]
Maintainer: Tsz Keung Wong <t.k.wong3004@gmail.com>

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Package RMVL updated to version 1.1.0.3 with previous version 1.1.0.2 dated 2025-09-23

Title: Mappable Vector Library for Handling Large Datasets
Description: Mappable vector library provides convenient way to access large datasets. Use all of your data at once, with few limits. Memory mapped data can be shared between multiple R processes. Access speed depends on storage medium, so solid state drive is recommended, preferably with PCI Express (or M.2 nvme) interface or a fast network file system. The data is memory mapped into R and then accessed using usual R list and array subscription operators. Convenience functions are provided for merging, grouping and indexing large vectors and data.frames. The layout of underlying MVL files is optimized for large datasets. The vectors are stored to guarantee alignment for vector intrinsics after memory map. The package is built on top of libMVL, which can be used as a standalone C library. libMVL has simple C API making it easy to interchange datasets with outside programs. Large MVL datasets are distributed via Academic Torrents <https://academictorrents.com/collection/mvl-datasets>.
Author: Vladimir Dergachev [aut, cre]
Maintainer: Vladimir Dergachev <support@altumrete.com>

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Package OHPL updated to version 1.4.2 with previous version 1.4.1 dated 2024-07-20

Title: Ordered Homogeneity Pursuit Lasso for Group Variable Selection
Description: Ordered homogeneity pursuit lasso (OHPL) algorithm for group variable selection proposed in Lin et al. (2017) <DOI:10.1016/j.chemolab.2017.07.004>. The OHPL method exploits the homogeneity structure in high-dimensional data and enjoys the grouping effect to select groups of important variables automatically. This feature makes it particularly useful for high-dimensional datasets with strongly correlated variables, such as spectroscopic data.
Author: You-Wu Lin [aut], Nan Xiao [aut, cre]
Maintainer: Nan Xiao <me@nanx.me>

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Package AIscreenR updated to version 0.3.0 with previous version 0.2.0 dated 2025-08-18

Title: AI Screening Tools in R for Systematic Reviewing
Description: Provides functions to conduct title and abstract screening in systematic reviews using large language models, such as the Generative Pre-trained Transformer (GPT) models from 'OpenAI' <https://developers.openai.com/>. These functions can enhance the quality of title and abstract screenings while reducing the total screening time significantly. In addition, the package includes tools for quality assessment of title and abstract screenings, as described in Vembye, Christensen, Mølgaard, and Schytt (2025) <DOI:10.1037/met0000769>.
Author: Mikkel H. Vembye [aut, cre] , Thomas Olsen [aut]
Maintainer: Mikkel H. Vembye <mikkel.vembye@gmail.com>

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Package topr updated to version 2.0.4 with previous version 2.0.3 dated 2026-04-12

Title: Create Custom Plots for Viewing Genetic Association Results
Description: A collection of functions for visualizing,exploring and annotating genetic association results.Association results from multiple traits can be viewed simultaneously along with gene annotation, over the entire genome (Manhattan plot) or in the more detailed regional view.
Author: Thorhildur Juliusdottir [cph, aut, cre], Andri Stefansson [aut], Kyle Scott [ctb]
Maintainer: Thorhildur Juliusdottir <totajuliusd@gmail.com>

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Package SNPassoc readmission to version 2.3.1 with previous version 2.1-2 dated 2024-10-28

Title: SNPs-Based Whole Genome Association Studies
Description: Functions to perform most of the common analysis in genome association studies are implemented. These analyses include descriptive statistics and exploratory analysis of missing values, calculation of Hardy-Weinberg equilibrium, analysis of association based on generalized linear models (either for quantitative or binary traits), and analysis of multiple SNPs (haplotype and epistasis analysis). Permutation test and related tests (sum statistic and truncated product) are also implemented. Max-statistic and genetic risk-allele score exact distributions are also possible to be estimated. The methods are described in Gonzalez JR et al., 2007 <doi: 10.1093/bioinformatics/btm025>. This version includes internal copies of functions from the archived 'haplo.stats' package to maintain functionality.
Author: Victor Moreno [aut], Juan R Gonzalez [aut] , Dolors Pelegri [aut, cre]
Maintainer: Dolors Pelegri <dolors.pelegri@isglobal.org>

This is a re-admission after prior archival of version 2.1-2 dated 2024-10-28

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Package W3CMarkupValidator updated to version 0.2-3 with previous version 0.2-2 dated 2025-12-10

Title: R Interface to W3C Markup Validation Services
Description: R interface to a W3C Markup Validation service. See <https://validator.w3.org/> for more information.
Author: Kurt Hornik [aut, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package qcluster updated to version 2.0.0 with previous version 1.2.1 dated 2025-01-13

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

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Package huge updated to version 1.6 with previous version 1.5.1 dated 2026-03-31

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

Diff between huge versions 1.5.1 dated 2026-03-31 and 1.6 dated 2026-04-13

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Permanent link

Package virustotal updated to version 0.6.0 with previous version 0.5.0 dated 2025-12-16

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

Diff between virustotal versions 0.5.0 dated 2025-12-16 and 0.6.0 dated 2026-04-13

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Package TSdeeplearning readmission to version 1.0.1 with previous version 0.1.0 dated 2022-09-09

Title: Deep Learning Model for Time Series Forecasting
Description: Provides deep learning models for time series forecasting using Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU). These models capture temporal dependencies and address vanishing gradient issues in sequential data. The package enables efficient forecasting for univariate time series. For methodological details see Jaiswal and co-authors (2022). <doi:10.1007/s00521-021-06621-3>.
Author: Ronit Jaiswal [aut, cre], Girish Kumar Jha [aut, ths, ctb], Rajeev Ranjan Kumar [aut, ctb], Kapil Choudhary [aut, ctb]
Maintainer: Ronit Jaiswal <ronitjaiswal2912@gmail.com>

This is a re-admission after prior archival of version 0.1.0 dated 2022-09-09

Diff between TSdeeplearning versions 0.1.0 dated 2022-09-09 and 1.0.1 dated 2026-04-13

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Package soilassessment readmission to version 0.3.2 with previous version 0.3.1 dated 2026-02-22

Title: Soil Health Assessment Models for Assessing Soil Conditions and Suitability
Description: Soil health assessment builds information to improve decision in soil management. It facilitates assessment of soil conditions for crop suitability [such as those given by FAO <https://www.fao.org/land-water/databases-and-software/crop-information/en/>], groundwater recharge, fertility, erosion, salinization [<doi:10.1002/ldr.4211>], carbon sequestration, irrigation potential, and status of soil resources.
Author: Christian Thine Omuto [aut, cre]
Maintainer: Christian Thine Omuto <thineomuto@yahoo.com>

This is a re-admission after prior archival of version 0.3.1 dated 2026-02-22

Diff between soilassessment versions 0.3.1 dated 2026-02-22 and 0.3.2 dated 2026-04-13

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Permanent link

Package rtpcr updated to version 2.1.7 with previous version 2.1.6 dated 2026-03-14

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>

Diff between rtpcr versions 2.1.6 dated 2026-03-14 and 2.1.7 dated 2026-04-13

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Package readODS updated to version 2.3.5 with previous version 2.3.4 dated 2026-04-10

Title: Read and Write ODS Files
Description: Read ODS (OpenDocument Spreadsheet) into R as data frame. Also support writing data frame into ODS file.
Author: Gerrit-Jan Schutten [aut], Chung-hong Chan [aut, cre] , Peter Brohan [aut], Detlef Steuer [aut] , Thomas J. Leeper [aut] , John Foster [ctb], Sergio Oller [ctb], Jim Hester [ctb] , Stephen Watts [ctb], Arthur Katossky [ctb], Stas Malavin [ctb], Dunca [...truncated...]
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

Diff between readODS versions 2.3.4 dated 2026-04-10 and 2.3.5 dated 2026-04-13

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Permanent link

Package notionapi updated to version 0.2.0 with previous version 0.1.0 dated 2025-09-02

Title: Client for the 'Notion API'
Description: Enable programmatic interaction with 'Notion' pages, databases, blocks, comments, and users through the 'Notion API' <https://developers.notion.com/>. Provides both synchronous and asynchronous client interfaces for building workflows and automations that integrate with 'Notion' workspaces. Supports all 'Notion API' endpoints including content creation, data retrieval, and workspace management.
Author: Brenwin Ang [aut, cre, cph]
Maintainer: Brenwin Ang <brenwinalj@gmail.com>

Diff between notionapi versions 0.1.0 dated 2025-09-02 and 0.2.0 dated 2026-04-13

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Package wired updated to version 1.0.1 with previous version 1.0.0 dated 2026-02-06

Title: Weighted Adaptive Prediction with Structured Dependence
Description: Builds a joint probabilistic forecast across series and horizons using adaptive copulas (Gaussian/t) with shrinkage-repaired correlations. At the low level it calls a probabilistic mixer per series and horizon, which backtests several simple predictors, predicts next-window Continuous Ranked Probability Score (CRPS), and converts those scores into softmax weights to form a calibrated mixture (r/q/p/dfun). The mixer blends eight simple predictors: a naive predictor that wraps the last move in a PERT distribution; an arima predictor using auto.arima for one-step forecasts; an Exponentially Weighted Moving Average (EWMA) gaussian predictor with mean/variance under a Gaussian; a historical bootstrap predictor that resamples past horizon-aligned moves; a drift residual bootstrap predictor combining linear trend with bootstrapped residuals; a volatility-scaled naive predictor centering on the last move and scaling by recent volatility; a robust median mad predictor using median/MAD with Lapl [...truncated...]
Author: Giancarlo Vercellino [aut, cre, cph]
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>

Diff between wired versions 1.0.0 dated 2026-02-06 and 1.0.1 dated 2026-04-13

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Package tinytest2JUnit updated to version 1.1.3 with previous version 1.1.2 dated 2024-05-30

Title: Convert 'tinytest' Output to JUnit XML
Description: Unit testing is a solid component of automated CI/CD pipelines. 'tinytest' - a lightweight, zero-dependency alternative to 'testthat' was developed. To be able to integrate 'tinytests' results into common CI/CD systems the 'tinytests'-object is converted to JUnit XML format. 'tinytest2JUnit' enables this conversion while staying lightweight, having only 'tinytest' as its dependency.
Author: Anne-Katrin Hess [aut], Lennart Tuijnder [aut, cre]
Maintainer: Lennart Tuijnder <lennart.tuijnder@openanalytics.eu>

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Package eclipseplot updated to version 0.9.6 with previous version 0.9.4 dated 2026-02-19

Title: Graphical Visualizations for ROBUST-RCT Risk of Bias Assessments
Description: Provides visual representations of risk-of-bias assessments using the ROBUST-RCT framework, as described in Wang et al. (2025) <doi:10.1136/bmj-2024-081199>. The graphical visualization displays both factual evaluation (Step 1) and judgment (Step 2).
Author: Pedro Rodrigues Vidor [aut, cre], Yohan Casiraghi [ctb], Sofia Simoni Rossi Fermo [ctb], Adolfo Moraes de Souza [ctb], Patricia Klarmann Ziegelmann [ctb], Maria Ines Schmidt [ctb], Maicon Falavigna [ctb]
Maintainer: Pedro Rodrigues Vidor <pedro.vidor@ufrgs.br>

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Package cpp4r updated to version 0.5.0 with previous version 0.4.0 dated 2025-12-04

Title: Header-Only 'C++' and 'R' Interface
Description: Provides a header only, 'C++' interface to 'R' with enhancements over 'cpp11'. Enforces copy-on-write semantics consistent with 'R' behavior. Offers native support for ALTREP objects, 'UTF-8' string handling, modern 'C++11' features and idioms, and reduced memory requirements. Allows for vendoring, making it useful for restricted environments. Compared to 'cpp11', it adds support for converting 'C++' maps to 'R' lists, 'Roxygen' documentation directly in 'C++' code, proper handling of matrix attributes, support for nullable external pointers, bidirectional copy of complex number types, flexibility in type conversions, use of nullable pointers, and various performance optimizations.
Author: Mauricio Vargas Sepulveda [aut, cre] , Posit Software, PBC [aut]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>

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Package agrobox updated to version 0.3.0 with previous version 0.2.1 dated 2026-01-10

Title: Data Visualization and Statistical Tools for Agroindustrial Experiments
Description: Set of tools for statistical analysis, visualization, and reporting of agroindustrial and agricultural experiments. The package provides functions to perform one-way and two-way ANOVA with post-hoc tests (Tukey HSD and Duncan MRT), Welch ANOVA for heteroscedastic data, and the Games-Howell post-hoc test as a robust alternative when variance homogeneity fails. Normality of residuals is assessed with the Shapiro-Wilk test and homoscedasticity with the Fligner-Killeen test; the appropriate statistical path is selected automatically based on these diagnostics. Coefficients of variation and statistical power (via one-way ANOVA power analysis) are reported alongside the post-hoc letter display. High-level wrappers allow automated multi-variable analysis with optional clustering by one or two experimental factors, with support for custom level ordering and relabeling. Results are returned as 'ggplot2' boxplots with mean and letter annotations, wide-format summary tables ready for publication [...truncated...]
Author: Joaquin Alejandro Salinas Angeles [aut, cre]
Maintainer: Joaquin Alejandro Salinas Angeles <joaquinsa03@gmail.com>

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Sun, 12 Apr 2026

Package nnmf updated to version 1.4 with previous version 1.3 dated 2026-03-17

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

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Package tidytuesdayR updated to version 1.3.2 with previous version 1.2.1 dated 2025-04-29

Title: Access the Weekly 'TidyTuesday' Project Dataset
Description: 'TidyTuesday' is a project by the 'Data Science Learning Community' in which they post a weekly dataset in a public data repository (<https://github.com/rfordatascience/tidytuesday>) for people to analyze and visualize. This package provides the tools to easily download this data and the description of the source.
Author: Jon Harmon [aut, cre] , Ellis Hughes [aut], Thomas Mock [ctb], Data Science Learning Community [dtc]
Maintainer: Jon Harmon <jonthegeek@gmail.com>

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Package epifitter updated to version 1.0.0 with previous version 0.3.0 dated 2021-06-14

Title: Analysis and Simulation of Plant Disease Progress Curves
Description: Tools for analysis, visualization, and simulation of plant disease progress curves. Includes functions to calculate area-under-the-curve summaries, fit and compare exponential, monomolecular, logistic, and Gompertz models using linear or nonlinear regression, work with single or multiple epidemics, and produce 'ggplot2'-based visualizations. Also includes an experimental powdery mildew dataset for reproducible teaching and research workflows. See Madden, Hughes, and van den Bosch (2007) <doi:10.1094/9780890545058> for background on the epidemiological methods.
Author: Kaique dos S. Alves [aut, cre] , Emerson M. Del Ponte [aut] , Adam H. Sparks [aut]
Maintainer: Kaique dos S. Alves <kaiquedsalves@gmail.com>

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Package nnsolve updated to version 0.0.2 with previous version 0.0.1 dated 2026-03-24

Title: Fast Non-Negative Least Squares
Description: Provides a fast algorithm for solving non-negative least squares problems. It implements the Fast Non-Negative Least Squares algorithm. of Bro and De Jong (1997)<doi:10.1002/(SICI)1099-128X(199709/10)11:53.0.CO;2-L>.
Author: Nikolaos Kontemeniotis [aut, cre], Michail Tsagris [aut]
Maintainer: Nikolaos Kontemeniotis <kontemeniotisn@gmail.com>

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Package hsrecombi readmission to version 1.1.1 with previous version 1.1.0 dated 2026-03-27

Title: Estimation of Recombination Rate and Maternal LD in Half-Sibs
Description: Paternal recombination rate and maternal linkage disequilibrium (LD) are estimated for pairs of biallelic markers such as single nucleotide polymorphisms (SNPs) from progeny genotypes and sire haplotypes. The implementation relies on paternal half-sib families. If maternal half-sib families are used, the roles of sire/dam are swapped. Multiple families can be considered. For parameter estimation, at least one sire has to be double heterozygous at the investigated pairs of SNPs. Based on recombination rates, genetic distances between markers can be estimated. Markers with unusually large recombination rate to markers in close proximity (i.e. putatively misplaced markers) shall be discarded in this derivation. *A pipeline is available at GitHub* <https://github.com/wittenburg/hsrecombi> Hampel, Teuscher, Gomez-Raya, Doschoris, Wittenburg (2018) "Estimation of recombination rate and maternal linkage disequilibrium in half-sibs" <doi:10.3389/fgene.2018.00186>. Gomez-Raya (2012) [...truncated...]
Author: Doerte Wittenburg [aut, cre]
Maintainer: Doerte Wittenburg <wittenburg@fbn-dummerstorf.de>

This is a re-admission after prior archival of version 1.1.0 dated 2026-03-27

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Package tubern updated to version 0.5.0 with previous version 0.2.1 dated 2025-03-24

Title: R Client for the YouTube Analytics and Reporting API
Description: Provides access to YouTube Analytics API v2 for retrieving YouTube Analytics data including views, engagement metrics, demographics, and revenue data. Supports OAuth 2.0 authentication and channel group management. See <https://developers.google.com/youtube/analytics/> for API documentation.
Author: Gaurav Sood [aut, cre]
Maintainer: Gaurav Sood <gsood07@gmail.com>

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Package SurrogateParadoxTest updated to version 2.2 with previous version 2.0 dated 2025-01-20

Title: Empirical Testing of Surrogate Paradox Assumptions
Description: Provides functions to nonparametrically assess assumptions sufficient to prevent the surrogate paradox through hypothesis tests of stochastic dominance, monotonicity of conditional mean functions, and non-negative residual treatment effect. Details are described in: Hsiao E, Tian L, and Parast L (2026). "Avoiding the surrogate paradox: an empirical framework for assessing assumptions." Journal of Nonparametric Statistics <doi:10.1080/10485252.2025.2498609>. There are also functions to assess resilience to the surrogate paradox via calculation of the resilience probability, the resilience bound, and the resilience set. Details will be available in Hsiao E, Tian L, and Parast L, "Resilience Measures for the Surrogate Paradox" (Under Review). Lastly, there is a function to assess resilience to the surrogate paradox in the met-analytic setting, described in Hsiao E and Parast L, "A Functional-Class Meta-Analytic Framework for Quantifying Surrogate Resilience" (Under Review). A tutor [...truncated...]
Author: Emily Hsiao [aut], Layla Parast [aut, cre]
Maintainer: Layla Parast <parast@austin.utexas.edu>

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Package HonestDiD updated to version 0.2.8 with previous version 0.2.7 dated 2026-04-01

Title: Robust Inference in Difference-in-Differences and Event Study Designs
Description: Provides functions to conduct robust inference in difference-in-differences and event study designs by implementing the methods developed in Rambachan & Roth (2023) <doi:10.1093/restud/rdad018>, "A More Credible Approach to Parallel Trends" [Previously titled "An Honest Approach..."]. Inference is conducted under a weaker version of the parallel trends assumption. Uniformly valid confidence sets are constructed based upon conditional confidence sets, fixed-length confidence sets and hybridized confidence sets.
Author: Ashesh Rambachan [aut, cph, cre], Jonathan Roth [aut, cph]
Maintainer: Ashesh Rambachan <ashesh.a.rambachan@gmail.com>

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Package asremlPlus updated to version 4.4.58 with previous version 4.4.55 dated 2025-11-07

Title: Augments 'ASReml-R' in Fitting Mixed Models and Packages Generally in Exploring Prediction Differences
Description: Assists in automating the selection of terms to include in mixed models when 'asreml' is used to fit the models. Procedures are available for choosing models that conform to the hierarchy or marginality principle, for fitting and choosing between two-dimensional spatial models using correlation, natural cubic smoothing spline and P-spline models. A history of the fitting of a sequence of models is kept in a data frame. Also used to compute functions and contrasts of, to investigate differences between and to plot predictions obtained using any model fitting function. The content falls into the following natural groupings: (i) Data, (ii) Model modification functions, (iii) Model selection and description functions, (iv) Model diagnostics and simulation functions, (v) Prediction production and presentation functions, (vi) Response transformation functions, (vii) Object manipulation functions, and (viii) Miscellaneous functions (for further details see 'asremlPlus-package' in help). The [...truncated...]
Author: Chris Brien [aut, cre]
Maintainer: Chris Brien <chris.brien@adelaide.edu.au>

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Package mmand updated to version 1.7.0 with previous version 1.6.3 dated 2023-02-07

Title: Mathematical Morphology in Any Number of Dimensions
Description: Provides tools for performing mathematical morphology operations, such as erosion and dilation, on data of arbitrary dimensionality. Can also be used for finding connected components, resampling, filtering, smoothing and other image processing-style operations.
Author: Jon Clayden [cre, aut]
Maintainer: Jon Clayden <code@clayden.org>

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Package littler updated to version 0.3.23 with previous version 0.3.22 dated 2026-02-04

Title: R at the Command-Line via 'r'
Description: A scripting and command-line front-end is provided by 'r' (aka 'littler') as a lightweight binary wrapper around the GNU R language and environment for statistical computing and graphics. While R can be used in batch mode, the r binary adds full support for both 'shebang'-style scripting (i.e. using a hash-mark-exclamation-path expression as the first line in scripts) as well as command-line use in standard Unix pipelines. In other words, r provides the R language without the environment.
Author: Dirk Eddelbuettel [aut, cre] , Jeff Horner [aut] )
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package Westerlund updated to version 0.1.3 with previous version 0.1.2 dated 2026-02-07

Title: Panel Cointegration Tests Based on Westerlund (2007)
Description: Implements a functional approximation of the four panel cointegration tests developed by Westerlund (2007) <doi:10.1111/j.1468-0084.2007.00477.x>. The tests are based on structural rather than residual dynamics and allow for heterogeneity in both the long-run cointegrating relationship and the short-run dynamics. The package includes logic for automated lag and lead selection via AIC/BIC, Bartlett kernel long-run variance estimation, and a bootstrap procedure to handle cross-sectional dependence. It also includes a bootstrapping distribution visualization function for diagnostic purposes.
Author: Bosco Hung [aut, cre]
Maintainer: Bosco Hung <bosco.hung@st-annes.ox.ac.uk>

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Package topr updated to version 2.0.3 with previous version 2.0.2 dated 2024-06-19

Title: Create Custom Plots for Viewing Genetic Association Results
Description: A collection of functions for visualizing,exploring and annotating genetic association results.Association results from multiple traits can be viewed simultaneously along with gene annotation, over the entire genome (Manhattan plot) or in the more detailed regional view.
Author: Thorhildur Juliusdottir [cph, aut, cre], Andri Stefansson [aut], Kyle Scott [ctb]
Maintainer: Thorhildur Juliusdottir <totajuliusd@gmail.com>

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Package ukbnmr updated to version 3.3.2 with previous version 3.3.1 dated 2025-11-30

Title: Removal of Unwanted Technical Variation from UK Biobank NMR Metabolomics Biomarker Data
Description: A suite of utilities for working with the UK Biobank <https://www.ukbiobank.ac.uk/> Nuclear Magnetic Resonance spectroscopy (NMR) metabolomics data <https://biobank.ndph.ox.ac.uk/showcase/label.cgi?id=220>. Includes functions for extracting biomarkers from decoded UK Biobank field data, removing unwanted technical variation from biomarker concentrations, computing an extended set of lipid, fatty acid, and cholesterol fractions, and for re-deriving composite biomarkers and ratios after adjusting data for unwanted biological variation. For further details on methods see Ritchie SC et al. Sci Data (2023) <doi:10.1038/s41597-023-01949-y>.
Author: Scott C Ritchie [aut, cre]
Maintainer: Scott C Ritchie <sritchie73@gmail.com>

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Package NetRep updated to version 1.2.10 with previous version 1.2.9 dated 2025-10-23

Title: Permutation Testing Network Module Preservation Across Datasets
Description: Functions for assessing the replication/preservation of a network module's topology across datasets through permutation testing; Ritchie et al. (2015) <doi: 10.1016/j.cels.2016.06.012>.
Author: Scott Ritchie [aut, cre]
Maintainer: Scott Ritchie <sritchie73@gmail.com>

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Package V8 updated to version 8.1.0 with previous version 8.0.1 dated 2025-10-10

Title: Embedded JavaScript and WebAssembly Engine for R
Description: An R interface to V8 <https://v8.dev>: Google's open source JavaScript and WebAssembly engine. This package can be compiled either with V8 or NodeJS when built as a shared library.
Author: Jeroen Ooms [aut, cre] , George Stagg [ctb] , Jan Marvin Garbuszus [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package mfrmr updated to version 0.1.5 with previous version 0.1.4 dated 2026-03-30

Title: Estimation and Diagnostics for Many-Facet Measurement Models
Description: Fits many-facet measurement models and returns diagnostics, reporting helpers, and reproducible analysis bundles using a native R implementation. Supports arbitrary facet counts, rating-scale and partial-credit parameterizations ('Andrich' (1978) <doi:10.1007/BF02293814>; 'Masters' (1982) <doi:10.1007/BF02296272>), marginal maximum likelihood estimation with Gauss-Hermite quadrature and direct optimization of the marginal log-likelihood, joint maximum likelihood estimation, plus tools for anchor review, interaction screening, linking workflows, and publication-oriented summaries.
Author: Ryuya Komuro [aut, cre]
Maintainer: Ryuya Komuro <ryuya.komuro.c4@tohoku.ac.jp>

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Package coda.plot updated to version 0.2.2 with previous version 0.2.1 dated 2026-03-06

Title: Plots for Compositional Data
Description: Provides a collection of easy-to-use functions for creating visualizations of compositional data using 'ggplot2'. Includes support for common plotting techniques in compositional data analysis.
Author: Marc Comas-Cufi [aut, cre]
Maintainer: Marc Comas-Cufi <mcomas@imae.udg.edu>

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Package sendmailR updated to version 1.4-1 with previous version 1.4-0 dated 2023-01-12

Title: Send Email Using R
Description: Package contains a simple SMTP client with minimal dependencies which provides a portable solution for sending email, including file attachments and inline html reports, from within R. SMTP Authentication and SSL/STARTTLS is implemented using curl.
Author: Olaf Mersmann [aut, cre] , Quinn Weber [ctb], Marius Barth [ctb] , Are Edvardsen [ctb] , Alexander Bartel [ctb]
Maintainer: Olaf Mersmann <olafm@p-value.net>

Diff between sendmailR versions 1.4-0 dated 2023-01-12 and 1.4-1 dated 2026-04-12

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Package salso updated to version 0.3.77 with previous version 0.3.69 dated 2026-03-08

Title: Search Algorithms and Loss Functions for Bayesian Clustering
Description: The SALSO algorithm is an efficient randomized greedy search method to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. The algorithm is implemented for many loss functions, including the Binder loss and a generalization of the variation of information loss, both of which allow for unequal weights on the two types of clustering mistakes. Efficient implementations are also provided for Monte Carlo estimation of the posterior expected loss of a given clustering estimate. See Dahl, Johnson, Müller (2022) <doi:10.1080/10618600.2022.2069779>.
Author: David B. Dahl [aut, cre] , Devin J. Johnson [aut] , Peter Mueller [aut], Andres Felipe Barrientos [aut], Garritt Page [aut], David Dunson [aut], Authors of the dependency Rust crates [ctb]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

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Package renv updated to version 1.2.1 with previous version 1.2.0 dated 2026-03-25

Title: Project Environments
Description: A dependency management toolkit for R. Using 'renv', you can create and manage project-local R libraries, save the state of these libraries to a 'lockfile', and later restore your library as required. Together, these tools can help make your projects more isolated, portable, and reproducible.
Author: Kevin Ushey [aut, cre] , Hadley Wickham [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between renv versions 1.2.0 dated 2026-03-25 and 1.2.1 dated 2026-04-12

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Package enhancer updated to version 1.1.1 with previous version 1.1.0 dated 2025-11-17

Title: Mixed-Effects Models Enhancing Functions
Description: Special functions that enhance other mixed effect model packages by creating overlayed, reduced rank, and reduced model matrices together with multiple data sets to practice the use of these models. For more details see Covarrubias-Pazaran (2016) <doi:10.1371/journal.pone.0156744>.
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

Diff between enhancer versions 1.1.0 dated 2025-11-17 and 1.1.1 dated 2026-04-12

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Package archive updated to version 1.1.13 with previous version 1.1.12.1 dated 2025-12-24

Title: Multi-Format Archive and Compression Support
Description: Bindings to 'libarchive' <http://www.libarchive.org> the Multi-format archive and compression library. Offers R connections and direct extraction for many archive formats including 'tar', 'ZIP', '7-zip', 'RAR', 'CAB' and compression formats including 'gzip', 'bzip2', 'compress', 'lzma' and 'xz'.
Author: Jim Hester [aut] , Gabor Csardi [aut, cre], Ondrej Holy [cph] , RStudio [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between archive versions 1.1.12.1 dated 2025-12-24 and 1.1.13 dated 2026-04-12

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Package AIPW updated to version 0.6.9.3 with previous version 0.6.9.2 dated 2025-04-05

Title: Augmented Inverse Probability Weighting
Description: The 'AIPW' package implements the augmented inverse probability weighting, a doubly robust estimator, for average causal effect estimation with user-defined stacked machine learning algorithms. To cite the 'AIPW' package, please use: "Yongqi Zhong, Edward H. Kennedy, Lisa M. Bodnar, Ashley I. Naimi (2021). AIPW: An R Package for Augmented Inverse Probability Weighted Estimation of Average Causal Effects. American Journal of Epidemiology. <doi:10.1093/aje/kwab207>". Visit: <https://yqzhong7.github.io/AIPW/> for more information.
Author: Yongqi Zhong [aut, cre] , Ashley Naimi [aut] , Gabriel Conzuelo [ctb], Edward Kennedy [ctb]
Maintainer: Yongqi Zhong <yq.zhong7@gmail.com>

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Sat, 11 Apr 2026

Package pecanr updated to version 0.2.0 with previous version 0.1.2 dated 2026-03-17

Title: Partial Eta-Squared for Crossed, Nested, and Mixed Linear Mixed Models
Description: Computes partial eta-squared effect sizes for fixed effects in linear mixed models fitted with the 'lme4' package. Supports crossed, nested, and mixed (crossed-and-nested) random effects structures with any number of grouping factors. Mixed designs handle cases where grouping factors are simultaneously crossed with some variables and nested within others (e.g., photos nested within models, but both crossed with participants). Random slope variances are translated to the outcome scale using a variance decomposition approach, correctly accounting for predictor scaling and interaction terms. Both general and operative effect sizes are provided. Methods are based on Correll, Mellinger, McClelland, and Judd (2020) <doi:10.1016/j.tics.2019.12.009>, Correll, Mellinger, and Pedersen (2022) <doi:10.3758/s13428-021-01687-2>, and Rights and Sterba (2019) <doi:10.1037/met0000184>.
Author: Brandon Cohen [aut, cre] , Joshua Correll [aut, ths]
Maintainer: Brandon Cohen <brandon.cohen-1@colorado.edu>

Diff between pecanr versions 0.1.2 dated 2026-03-17 and 0.2.0 dated 2026-04-11

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Package gofedf updated to version 1.1.0 with previous version 1.0.0 dated 2025-05-29

Title: Goodness of Fit Tests Based on Empirical Distribution Functions
Description: Routines that allow the user to run goodness of fit tests based on empirical distribution functions for formal model evaluation in a general likelihood model. In addition, functions are provided to test if a sample follows Normal or Gamma distributions, validate the normality assumptions in a linear model, and examine the appropriateness of a Gamma distribution in generalized linear models with various link functions. Michael Arthur Stephens (1976) <http://www.jstor.org/stable/2958206>.
Author: Richard Lockhart [aut], Payman Nickchi [aut, cre]
Maintainer: Payman Nickchi <payman.nickchi@gmail.com>

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Package conText updated to version 3.0.1 with previous version 3.0.0 dated 2025-09-03

Title: 'a la Carte' on Text (ConText) Embedding Regression
Description: A fast, flexible and transparent framework to estimate context-specific word and short document embeddings using the 'a la carte' embeddings approach developed by Khodak et al. (2018) <doi:10.48550/arXiv.1805.05388> and evaluate hypotheses about covariate effects on embeddings using the regression framework developed by Rodriguez et al. (2021)<doi:10.1017/S0003055422001228>. New version of the package applies a new estimator to measure the distance between word embeddings as described in Green et al. (2025) <doi:10.1017/pan.2024.22>.
Author: Pedro L. Rodriguez [aut, cph] , Arthur Spirling [aut] , Brandon Stewart [aut] , Christopher Barrie [ctb] , Sofia Avila [cre, aut]
Maintainer: Sofia Avila <sofiaavila@princeton.edu>

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Package bioLeak updated to version 0.3.6 with previous version 0.3.5 dated 2026-03-26

Title: Leakage-Safe Modeling and Auditing for Genomic and Clinical Data
Description: Prevents and detects information leakage in biomedical machine learning. Provides leakage-resistant split policies (subject-grouped, batch-blocked, study leave-out, time-ordered), guarded preprocessing (train-only imputation, normalization, filtering, feature selection), cross-validated fitting with common learners, permutation-gap auditing, batch and fold association tests, and duplicate detection.
Author: Selcuk Korkmaz [aut, cre]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

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Package fred updated to version 0.2.0 with previous version 0.1.2 dated 2026-03-19

Title: Access 'Federal Reserve Economic Data'
Description: Provides clean, tidy access to economic data from the 'Federal Reserve Economic Data' ('FRED') API <https://fred.stlouisfed.org/docs/api/fred/>. 'FRED' is maintained by the 'Federal Reserve Bank of St. Louis' and contains over 800,000 time series from 118 sources covering GDP, employment, inflation, interest rates, trade, and more. Dedicated functions fetch series observations, search for series, browse categories, releases, and tags, and retrieve series metadata. Multiple series can be fetched in a single call, in long or wide format. Server-side unit transformations (percent change, log, etc.) and frequency aggregation are supported, with readable transform aliases such as 'yoy_pct' and 'log_diff'. Real-time and vintage helpers (built on 'ALFRED') return a series as it appeared on a given date, the first-release version, every revision, or a panel of selected vintages. Data is cached locally for subsequent calls. This product uses the 'FRED' API but is not endorsed or certified [...truncated...]
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package nycOpenData updated to version 0.2.1 with previous version 0.1.6 dated 2026-02-14

Title: Convenient Access to NYC Open Data API Endpoints
Description: Provides a unified set of helper functions to access datasets from the NYC Open Data platform <https://opendata.cityofnewyork.us/>. Functions return results as tidy tibbles and support optional filtering, sorting, and row limits via the Socrata API. The package includes endpoints for 311 service requests, DOB job applications, juvenile justice metrics, school safety, environmental data, event permitting, and additional citywide datasets.
Author: Christian Martinez [aut, cre] , Crystal Adote [ctb] , Jonah Dratfield [ctb] , Joyce Escatel-Flores [ctb] , Rob Hutto [ctb] , Isley Jean-Pierre [ctb] , Shannon Joyce [ctb] , Laura Rose-Werner [ctb] , Emma Tupone [ctb] , Xinru Wang [ctb]
Maintainer: Christian Martinez <c.martinez0@outlook.com>

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Package glasstabs updated to version 0.2.1 with previous version 0.1.1 dated 2026-03-13

Title: Animated Glass-Style Tabs and Multi-Select Filter for 'Shiny'
Description: Tools for creating animated glassmorphism-style tab navigation and multi-select dropdown filters in 'shiny' applications. The package provides a tab navigation component and a searchable multi-select widget with multiple checkbox indicator styles, select-all controls, and customizable colour themes. The widgets are compatible with standard 'shiny' layouts and 'bs4Dash' dashboards.
Author: George Arthur [aut, cre]
Maintainer: George Arthur <prigasgenthian48@gmail.com>

Diff between glasstabs versions 0.1.1 dated 2026-03-13 and 0.2.1 dated 2026-04-11

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Package pam updated to version 2.1.1 with previous version 2.1.0 dated 2026-04-11

Title: Fast and Efficient Processing of PAM Data
Description: Processing Chlorophyll Fluorescence & P700 Absorbance data. Four models are provided for the regression of Pi curves, which can be compared with each other in order to select the most suitable model for the data set. Control plots ensure the successful verification of each regression. Bundled output of alpha, ETRmax, Ik etc. enables fast and reliable further processing of the data.
Author: Julien Boehm [cre, aut] , Philipp Schrag [aut]
Maintainer: Julien Boehm <julien.boehm@uni-rostock.de>

Diff between pam versions 2.1.0 dated 2026-04-11 and 2.1.1 dated 2026-04-11

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Permanent link

Package akin updated to version 0.2.0 with previous version 0.1.4 dated 2026-04-10

Title: Functional Utilities for Data Processing
Description: Covers several areas of data processing: batch-splitting, reading and writing of large data files, data tiling, one-hot encoding and decoding of data tiles, stratified proportional (random or probabilistic) data sampling, data normalization and thresholding, substring location and commonalities inside strings and location and tabulation of amino acids, modifications or associated monoisotopic masses inside modified peptides. The extractor utility implements code from 'Matrix.utils', Varrichio C (2020), <https://cran.r-project.org/package=Matrix.utils>.
Author: Dragos Bandur [aut, cre]
Maintainer: Dragos Bandur <dbandur@sympatico.ca>

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Package sstn updated to version 1.0.1 with previous version 1.0.0 dated 2025-09-16

Title: Self-Similarity Test for Normality
Description: Implements the Self-Similarity Test for Normality (SSTN), a new statistical test designed to assess whether a given sample originates from a normal distribution. The method exploits the self-similarity property of the normal characteristic function by iteratively transforming and comparing standardized empirical characteristic functions. The null distribution of the test statistic is obtained via Monte Carlo simulation. Details of the methodology are described in Anarat and Schwender (2026), "A test for normality based on self-similarity", <doi:10.48550/arXiv.2604.03810>.
Author: Akin Anarat [aut, cre]
Maintainer: Akin Anarat <akin.anarat@hhu.de>

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Package scaledescr updated to version 0.2.4 with previous version 0.2.3 dated 2026-03-21

Title: Descriptive, Reliability, and Inferential Tables for Psychometric Scales and Demographic Data
Description: Provides functions to format and summarise already computed outputs from commonly used statistical and psychometric functions into compact, single-row tables and simple graphs, with utilities to export results to CSV, Word, and Excel formats. The package does not implement new statistical methods or estimation procedures; instead, it organises and presents results obtained from existing functions such as psych::describe(), psych::alpha(), stats::t.test(), and gtsummary::tbl_summary() to streamline reporting workflows in clinical and psychological research.
Author: Darshankumar Dharaiya [aut, cre]
Maintainer: Darshankumar Dharaiya <dharaiya.darshan@gmail.com>

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Package dials updated to version 1.4.3 with previous version 1.4.2 dated 2025-09-04

Title: Tools for Creating Tuning Parameter Values
Description: Many models contain tuning parameters (i.e. parameters that cannot be directly estimated from the data). These tools can be used to define objects for creating, simulating, or validating values for such parameters.
Author: Max Kuhn [aut], Hannah Frick [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Hannah Frick <hannah@posit.co>

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Package geodata updated to version 0.6-9 with previous version 0.6-6 dated 2025-09-29

Title: Access Geographic Data
Description: Functions for downloading of geographic data for use in spatial analysis and mapping. The package facilitates access to climate, crops, elevation, land use, soil, species occurrence, accessibility, administrative boundaries and other data.
Author: Robert J. Hijmans [cre, aut] , Marcia Barbosa [ctb] , Aniruddha Ghosh [ctb], Alex Mandel [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between geodata versions 0.6-6 dated 2025-09-29 and 0.6-9 dated 2026-04-11

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Package fluxfixer updated to version 1.1.0 with previous version 1.0.0 dated 2026-02-02

Title: Advanced Framework for Sap Flow Data Post-Process
Description: Provides a flexible framework for post-processing thermal dissipation sap flow data using statistical methods and machine learning. This framework includes anomaly correction, outlier removal, gap-filling, trend removal, signal damping correction, and sap flux density calculation. The functions in this package can also apply to other time series with various artifacts.
Author: Yoshiaki Hata [aut, cre, cph]
Maintainer: Yoshiaki Hata <yoshiakihata0806@gmail.com>

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Package pdftools updated to version 3.8.0 with previous version 3.7.0 dated 2026-01-30

Title: Text Extraction, Rendering and Converting of PDF Documents
Description: Utilities based on 'libpoppler' <https://poppler.freedesktop.org> for extracting text, fonts, attachments and metadata from a PDF file. Also supports high quality rendering of PDF documents into PNG, JPEG, TIFF format, or into raw bitmap vectors for further processing in R.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between pdftools versions 3.7.0 dated 2026-01-30 and 3.8.0 dated 2026-04-11

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Package RMySQL updated to version 0.11.3 with previous version 0.11.2 dated 2026-03-02

Title: Database Interface and 'MySQL' Driver for R
Description: Legacy 'DBI' interface to 'MySQL' / 'MariaDB' based on old code ported from S-PLUS. A modern 'MySQL' client written in 'C++' is available from the 'RMariaDB' package.
Author: Jeroen Ooms [aut, cre] , David James [aut], Saikat DebRoy [aut], Hadley Wickham [aut], Jeffrey Horner [aut], RStudio [cph]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between RMySQL versions 0.11.2 dated 2026-03-02 and 0.11.3 dated 2026-04-11

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Package kstIO updated to version 0.5-1 with previous version 0.5-0 dated 2026-03-08

Title: Knowledge Space Theory Input/Output
Description: Knowledge space theory by Doignon and Falmagne (1999) <doi:10.1007/978-3-642-58625-5> is a set- and order-theoretical framework which proposes mathematical formalisms to operationalize knowledge structures in a particular domain. The 'kstIO' package provides basic functionalities to read and write KST data from/to files to be used together with the 'kst', 'kstMatrix', 'pks', or 'DAKS' packages.
Author: Cord Hockemeyer [aut, cre]
Maintainer: Cord Hockemeyer <cord.hockemeyer@uni-graz.at>

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Package pam updated to version 2.1.0 with previous version 2.0.2 dated 2026-02-23

Title: Fast and Efficient Processing of PAM Data
Description: Processing Chlorophyll Fluorescence & P700 Absorbance data. Four models are provided for the regression of Pi curves, which can be compared with each other in order to select the most suitable model for the data set. Control plots ensure the successful verification of each regression. Bundled output of alpha, ETRmax, Ik etc. enables fast and reliable further processing of the data.
Author: Julien Boehm [cre, aut] , Philipp Schrag [aut]
Maintainer: Julien Boehm <julien.boehm@uni-rostock.de>

Diff between pam versions 2.0.2 dated 2026-02-23 and 2.1.0 dated 2026-04-11

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Package eq5dsuite updated to version 1.0.3 with previous version 1.0.2 dated 2026-03-24

Title: Handling and Analysing EQ-5d Data
Description: The EQ-5D is a widely-used standarized instrument for measuring Health Related Quality Of Life (HRQOL), developed by the EuroQol group <https://euroqol.org/>. It assesses five dimensions; mobility, self-care, usual activities, pain/discomfort, and anxiety/depression, using either a three-level (EQ-5D-3L) or five-level (EQ-5D-5L) scale. Scores from these dimensions are commonly converted into a single utility index using country-specific value sets, which are critical in clinical and economic evaluations of healthcare and in population health surveys. The eq5dsuite package enables users to calculate utility index values for the EQ-5D instruments, including crosswalk utilities using the original crosswalk developed by van Hout et al. (2012) <doi:10.1016/j.jval.2012.02.008> (mapping EQ-5D-5L responses to EQ-5D-3L index values), or the recently developed reverse crosswalk by van Hout et al. (2021) <doi:10.1016/j.jval.2021.03.009> (mapping EQ-5D-3L responses to EQ-5D-5L in [...truncated...]
Author: Kim Rand [aut, cre] , Oliver Rivero-Arias [aut] , Iryna Schlackow [aut] , Anabel Estevez-Carrillo [aut]
Maintainer: Kim Rand <krand@mathsinhealth.com>

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Package autoharp updated to version 0.3.2 with previous version 0.3.1 dated 2026-04-10

Title: Semi-Automatic Grading of R and Rmd Scripts
Description: A customisable set of tools for assessing and grading R or R-markdown scripts from students. It allows for checking correctness of code output, runtime statistics and static code analysis. The latter feature is made possible by representing R expressions using a tree structure.
Author: Vik Gopal [aut], Agrawal Naman [aut, cre], Yuting Huang [ctb], Samuel Seah [aut], Viknesh Jeya Kumar [aut], Gabriel Ang [aut], Ruofan Liu [ctb], National University of Singapore [cph]
Maintainer: Agrawal Naman <naman.a@nus.edu.sg>

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Package easyComment updated to version 2.1.0 with previous version 2.0.0 dated 2026-04-03

Title: Generate Comment Boxes with Custom Alignment
Description: Provides a function to generate comment boxes framed with '#' characters, with configurable width and text alignment (left, center, or right). Useful for formatting scripts and improving code readability.
Author: Gregoire Muller [aut, cre]
Maintainer: Gregoire Muller <muller.gregoire@protonmail.com>

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Package PPSFS updated to version 0.1.3 with previous version 0.1.1 dated 2025-07-03

Title: Partial Profile Score Feature Selection in High-Dimensional Generalized Linear Interaction Models
Description: This is an implementation of the partial profile score feature selection (PPSFS) approach to generalized linear (interaction) models. The PPSFS is highly scalable even for ultra-high-dimensional feature space. See the paper by Xu, Luo and Chen (2022) <doi:10.4310/21-SII706>.
Author: Zengchao Xu [aut, cre], Shan Luo [aut], Zehua Chen [aut]
Maintainer: Zengchao Xu <zengc.xu@aliyun.com>

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Package PerformanceAnalytics updated to version 2.1.0 with previous version 2.0.8 dated 2024-12-09

Title: Econometric Tools for Performance and Risk Analysis
Description: Collection of econometric functions for performance and risk analysis. In addition to standard risk and performance metrics, this package aims to aid practitioners and researchers in utilizing the latest research in analysis of non-normal return streams. In general, it is most tested on return (rather than price) data on a regular scale, but most functions will work with irregular return data as well, and increasing numbers of functions will work with P&L or price data where possible.
Author: Brian G. Peterson [cre, aut, cph], Peter Carl [aut, cph], Kris Boudt [ctb, cph], Ross Bennett [ctb], Joshua Ulrich [ctb], Eric Zivot [ctb], Dries Cornilly [ctb], Eric Hung [ctb], Matthieu Lestel [ctb], Kyle Balkissoon [ctb], Diethelm Wuertz [ctb], An [...truncated...]
Maintainer: Brian G. Peterson <brian@braverock.com>

Diff between PerformanceAnalytics versions 2.0.8 dated 2024-12-09 and 2.1.0 dated 2026-04-11

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 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/AppraisalRatio.R                                                   |    2 
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 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/BurkeRatio.R                                                       |    2 
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 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/CalmarRatio.R                                                      |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/CoMoments.R                                                        |    2 
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 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/FamaBeta.R                                                         |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Frequency.R                                                        |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/HerfindahlIndex.R                                                  |    2 
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 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/InformationRatio.R                                                 |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Kappa.R                                                            |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/KellyRatio.R                                                       |    8 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Level.calculate.R                                                  |  386 +++--
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/M2Sortino.R                                                        |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/MM.NCE.R                                                           |  439 +++---
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/MSquared.R                                                         |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/MSquaredExcess.R                                                   |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/MarketTiming.R                                                     |    6 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/MartinRatio.R                                                      |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/MeanAbsoluteDeviation.R                                            |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/MinTRL.R                                                           |    5 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/MultivariateMoments.R                                              |    6 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/NetSelectivity.R                                                   |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Omega.R                                                            |  263 ++-
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/OmegaExcessReturn.R                                                |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/OmegaSharpeRatio.R                                                 |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/PainIndex.R                                                        |   76 -
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/PainRatio.R                                                        |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/PerformanceAnalytics-package.R                                     |  332 ++--
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/PortfolioRisk.R                                                    |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/ProbSharpeRatio.R                                                  |  197 +-
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/ProspectRatio.R                                                    |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Return.Geltner.R                                                   |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Return.annualized.R                                                |  116 -
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Return.calculate.R                                                 |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Return.clean.R                                                     |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Return.convert.R                                                   |  199 ++
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Return.cumulative.R                                                |   62 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Return.excess.R                                                    |   92 -
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Return.locScaleRob.R                                               |    8 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Return.portfolio.R                                                 |  676 +++++-----
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Return.read.R                                                      |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Return.relative.R                                                  |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Selectivity.R                                                      |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/SemiDeviation.R                                                    |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/SharpeRatio.R                                                      |  349 +++--
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/SharpeRatio.annualized.R                                           |   87 -
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/SkewnessKurtosisRatio.R                                            |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/SmoothingIndex.R                                                   |  205 +--
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/SortinoRatio.R                                                     |  117 -
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/SpecificRisk.R                                                     |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/StdDev.R                                                           |  249 ++-
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/StdDev.annualized.R                                                |  119 +
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/SystematicRisk.R                                                   |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/TotalRisk.R                                                        |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/TrackingError.R                                                    |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/TreynorRatio.R                                                     |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/UlcerIndex.R                                                       |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/UpDownRatios.R                                                     |  160 +-
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/UpsideFrequency.R                                                  |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/UpsidePotentialRatio.R                                             |   97 -
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/UpsideRisk.R                                                       |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/VaR.Marginal.R                                                     |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/VaR.R                                                              |  563 ++++----
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/VaR.backtest.R                                                     |only
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/VaR.gpd.R                                                          |only
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/VaR.lognormal.R                                                    |only
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/VaR.montecarlo.R                                                   |only
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/VolatilitySkewness.R                                               |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/apply.fromstart.R                                                  |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/apply.rolling.R                                                    |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.ACF.R                                                        |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.ACFplus.R                                                    |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.Bar.R                                                        |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.BarVaR.R                                                     |  617 ++++-----
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.Boxplot.R                                                    |  231 +--
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.CaptureRatios.R                                              |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.Correlation.R                                                |  144 +-
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.CumReturns.R                                                 |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.Drawdown.R                                                   |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.ECDF.R                                                       |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.Events.R                                                     |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.Histogram.R                                                  |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.QQPlot.R                                                     |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.Regression.R                                                 |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.RelativePerformance.R                                        |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.RiskReturnScatter.R                                          |  200 +-
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.RollingCorrelation.R                                         |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.RollingMean.R                                                |    2 
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 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.RollingRegression.R                                          |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.Scatter.R                                                    |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.SnailTrail.R                                                 |  230 +--
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.StackedBar.R                                                 |  384 ++---
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.TimeSeries.R                                                 |  339 ++---
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.TimeSeries.base.R                                            |  221 +--
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.TimeSeries.builtin.R                                         |  270 ++-
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.TimeSeries.dygraph.R                                         |   18 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.TimeSeries.ggplot2.R                                         |  157 +-
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.TimeSeries.googlevis.R                                       |   37 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.TimeSeries.plotly.R                                          |   54 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.VaRSensitivity.R                                             |   29 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/charts.Bar.R                                                       |   51 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/charts.BarVaR.R                                                    |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/charts.PerformanceSummary.R                                        |  448 +++---
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/charts.RollingPerformance.R                                        |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/charts.RollingRegression.R                                         |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/charts.TimeSeries.R                                                |   57 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/checkData.R                                                        |  196 +-
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/checkSeedValue.R                                                   |   59 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/findDrawdowns.R                                                    |  140 +-
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/kurtosis.R                                                         |  159 +-
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/legend.R                                                           |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/lpm.R                                                              |  185 +-
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/maxDrawdown.R                                                      |  295 ++--
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/mean.utils.R                                                       |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/na.skip.R                                                          |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/replaceTabs.R                                                      |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/skewness.R                                                         |  144 +-
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/sortDrawdowns.R                                                    |   54 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/table.AnnualizedReturns.R                                          |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/table.Arbitrary.R                                                  |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/table.Autocorrelation.R                                            |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/table.CAPM.R                                                       |    2 
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 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/table.Drawdowns.R                                                  |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/table.DrawdownsRatio.R                                             |    2 
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 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/table.InformationRatio.R                                           |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/table.MonthlyReturns.R                                             |    2 
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 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/table.SpecificRisk.R                                               |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/table.UpDownRatios.R                                               |   61 
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 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/textplot.R                                                         |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/to.period.contributions.R                                          |    6 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/zerofill.R                                                         |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/zzz.R                                                              |   20 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/README.md                                                            |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/build/vignette.rds                                                   |binary
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 PerformanceAnalytics-2.1.0/PerformanceAnalytics/inst/doc/portfolio_returns.R                                         |    4 
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 PerformanceAnalytics-2.1.0/PerformanceAnalytics/inst/doc/textplotPresentation-CRUG-2011.pdf                          |binary
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/CAPM.jensenAlpha.Rd                                              |   26 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/CDD.Rd                                                           |   24 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/CDaR.alpha.Rd                                                    |   14 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/DownsideDeviation.Rd                                             |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/DrawdownPeak.Rd                                                  |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/ES.Rd                                                            |  106 +
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/HurstIndex.Rd                                                    |   22 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/KellyRatio.Rd                                                    |    4 
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 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/NCE.Rd                                                           |   35 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/Omega.Rd                                                         |   29 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/PainIndex.Rd                                                     |   20 
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 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/ProbSharpeRatio.Rd                                               |   34 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/Return.annualized.Rd                                             |   10 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/Return.convert.Rd                                                |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/Return.cumulative.Rd                                             |   14 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/Return.excess.Rd                                                 |    8 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/Return.locScaleRob.Rd                                            |    6 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/Return.portfolio.Rd                                              |  143 +-
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/SharpeRatio.Rd                                                   |   38 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/SharpeRatio.annualized.Rd                                        |   16 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/SmoothingIndex.Rd                                                |    9 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/SortinoRatio.Rd                                                  |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/StdDev.Rd                                                        |   27 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/StdDev.annualized.Rd                                             |   17 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/UpDownRatios.Rd                                                  |   20 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/UpsidePotentialRatio.Rd                                          |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/VaR.Rd                                                           |  110 +
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/VaR.backtest.Rd                                                  |only
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/chart.Bar.Rd                                                     |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/chart.Boxplot.Rd                                                 |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/chart.Correlation.Rd                                             |    9 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/chart.RiskReturnScatter.Rd                                       |    7 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/chart.SnailTrail.Rd                                              |   14 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/chart.StackedBar.Rd                                              |    8 
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 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/charts.PerformanceSummary.Rd                                     |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/checkData.Rd                                                     |   16 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/edhec.Rd                                                         |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/findDrawdowns.Rd                                                 |   20 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/kurtosis.Rd                                                      |   24 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/lpm.Rd                                                           |    6 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/managers.Rd                                                      |    8 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/maxDrawdown.Rd                                                   |    6 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/skewness.Rd                                                      |   16 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/sortDrawdowns.Rd                                                 |   16 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/table.CalendarReturns.Rd                                         |    5 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/table.CaptureRatios.Rd                                           |   27 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/table.Distributions.Rd                                           |   20 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/table.DownsideRiskRatio.Rd                                       |   22 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/table.RollingPeriods.Rd                                          |   43 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/table.Variability.Rd                                             |   20 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/man/to.period.contributions.Rd                                       |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/tests/testthat                                                       |only
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/tests/testthat.R                                                     |only
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 PerformanceAnalytics-2.1.0/PerformanceAnalytics/vignettes/PerformanceAnalyticsPresentation-UseR-2007.Rnw             |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/vignettes/portfolio_returns.Rnw                                      |   12 
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Permanent link

Package optimflex readmission to version 0.1.6 with previous version 0.1.0 dated 2026-02-07

Title: Derivative-Based Optimization with User-Defined Convergence Criteria
Description: Provides a derivative-based optimization framework that allows users to combine eight convergence criteria. Unlike standard optimization functions, this package includes a built-in mechanism to verify the positive definiteness of the Hessian matrix at the point of convergence. This additional check helps prevent the solver from falsely identifying non-optimal solutions, such as saddle points, as valid minima.
Author: Eunseong Cho [aut, cre]
Maintainer: Eunseong Cho <bene@kw.ac.kr>

This is a re-admission after prior archival of version 0.1.0 dated 2026-02-07

Diff between optimflex versions 0.1.0 dated 2026-02-07 and 0.1.6 dated 2026-04-11

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More information about optimflex at CRAN
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Package MM updated to version 1.7-0 with previous version 1.6-8 dated 2024-05-16

Title: The Multiplicative Multinomial Distribution
Description: Various utilities for the Multiplicative Multinomial distribution.
Author: Robin K. S. Hankin [aut, cre], P. M. E. Altham [aut]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between MM versions 1.6-8 dated 2024-05-16 and 1.7-0 dated 2026-04-11

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Permanent link

Package cvasi updated to version 1.5.1 with previous version 1.5.0 dated 2025-09-11

Title: Calibration, Validation, and Simulation of TKTD Models
Description: Eases the use of ecotoxicological effect models. Can simulate common toxicokinetic-toxicodynamic (TK/TD) models such as General Unified Threshold models of Survival (GUTS) and Lemna. It can derive effects and effect profiles (EPx) from scenarios. It supports the use of 'tidyr' workflows employing the pipe symbol. Time-consuming tasks can be parallelized.
Author: Nils Kehrein [aut, cre], Dirk Nickisch [aut], Peter Vermeiren [aut], Torben Wittwer [ctb], Johannes Witt [ctb], Andre Gergs [ctb]
Maintainer: Nils Kehrein <nils.kehrein@gmail.com>

Diff between cvasi versions 1.5.0 dated 2025-09-11 and 1.5.1 dated 2026-04-11

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Package vctrs updated to version 0.7.3 with previous version 0.7.2 dated 2026-03-21

Title: Vector Helpers
Description: Defines new notions of prototype and size that are used to provide tools for consistent and well-founded type-coercion and size-recycling, and are in turn connected to ideas of type- and size-stability useful for analysing function interfaces.
Author: Hadley Wickham [aut], Lionel Henry [aut], Davis Vaughan [aut, cre], data.table team [cph] and their contribution to R's order), Posit Software, PBC [cph, fnd]
Maintainer: Davis Vaughan <davis@posit.co>

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Package torch updated to version 0.17.0 with previous version 0.16.3 dated 2025-11-02

Title: Tensors and Neural Networks with 'GPU' Acceleration
Description: Provides functionality to define and train neural networks similar to 'PyTorch' by Paszke et al (2019) <doi:10.48550/arXiv.1912.01703> but written entirely in R using the 'libtorch' library. Also supports low-level tensor operations and 'GPU' acceleration.
Author: Tomasz Kalinowski [ctb, cre], Daniel Falbel [aut, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], Hamada S. Badr [ctb], Sebastian Fischer [ctb], Maximilian Pichler [ctb] [...truncated...]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

Diff between torch versions 0.16.3 dated 2025-11-02 and 0.17.0 dated 2026-04-11

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Package SeuratObject updated to version 5.4.0 with previous version 5.3.0 dated 2025-12-12

Title: Data Structures for Single Cell Data
Description: Defines S4 classes for single-cell genomic data and associated information, such as dimensionality reduction embeddings, nearest-neighbor graphs, and spatially-resolved coordinates. Provides data access methods and R-native hooks to ensure the Seurat object is familiar to other R users. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, and Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>, Hao Y, Hao S, et al (2021) <doi:10.1016/j.cell.2021.04.048> and Hao Y, et al (2023) <doi:10.1101/2022.02.24.481684> for more details.
Author: Paul Hoffman [aut] , Rahul Satija [aut, cre] , David Collins [aut] , Yuhan Hao [aut] , Austin Hartman [aut] , Gesmira Molla [aut] , Andrew Butler [aut] , Tim Stuart [aut] , Madeline Kowalski [ctb] , Saket Choudhary [ctb] , Skylar Li [ctb], Longda Jia [...truncated...]
Maintainer: Rahul Satija <seurat@nygenome.org>

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Package Rcmdr updated to version 2.12.2 with previous version 2.9-5 dated 2024-10-24

Title: R Commander
Description: A platform-independent basic-statistics GUI (graphical user interface) for R, based on the tcltk package.
Author: John Fox [aut], Milan Bouchet-Valat [aut], Manuel Munoz-Marquez [aut, cre], Liviu Andronic [ctb], Michael Ash [ctb], Theophilius Boye [ctb], Stefano Calza [ctb], Andy Chang [ctb], Vilmantas Gegzna [ctb], Philippe Grosjean [ctb], Richard Heiberger [ct [...truncated...]
Maintainer: Manuel Munoz-Marquez <manuel.munoz@uca.es>

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Package polyCub updated to version 0.9.3 with previous version 0.9.2 dated 2025-02-11

Title: Cubature over Polygonal Domains
Description: Numerical integration of continuously differentiable functions f(x,y) over simple closed polygonal domains. The following cubature methods are implemented: product Gauss cubature (Sommariva and Vianello, 2007, <doi:10.1007/s10543-007-0131-2>), the simple two-dimensional midpoint rule (wrapping 'spatstat.geom' functions), and adaptive cubature for radially symmetric functions via line integrate() along the polygon boundary (Meyer and Held, 2014, <doi:10.1214/14-AOAS743>, Supplement B). For simple integration along the axes, the 'cubature' package is more appropriate.
Author: Sebastian Meyer [aut, cre, trl] , Leonhard Held [ths], Michael Hoehle [ths]
Maintainer: Sebastian Meyer <seb.meyer@fau.de>

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Package netmeta updated to version 3.4-0 with previous version 3.3-1 dated 2026-01-28

Title: Network Meta-Analysis using Frequentist Methods
Description: A comprehensive set of functions providing frequentist methods for network meta-analysis (Balduzzi et al., 2023) <doi:10.18637/jss.v106.i02> and supporting Schwarzer et al. (2015) <doi:10.1007/978-3-319-21416-0>, Chapter 8 "Network Meta-Analysis": - frequentist network meta-analysis following Rücker (2012) <doi:10.1002/jrsm.1058>; - additive network meta-analysis for combinations of treatments (Rücker et al., 2020) <doi:10.1002/bimj.201800167>; - network meta-analysis of binary data using the Mantel-Haenszel or non-central hypergeometric distribution method (Efthimiou et al., 2019) <doi:10.1002/sim.8158>, or penalised logistic regression (Evrenoglou et al., 2022) <doi:10.1002/sim.9562>; - rankograms and ranking of treatments by the Surface under the cumulative ranking curve (SUCRA) (Salanti et al., 2013) <doi:10.1016/j.jclinepi.2010.03.016>; - ranking of treatments using P-scores (frequentist analogue of SUCRAs without resampling) according to [...truncated...]
Author: Gerta Ruecker [aut] , Ulrike Krahn [aut], Jochem Koenig [aut] , Orestis Efthimiou [aut] , Annabel Davies [aut] , Theodoros Papakonstantinou [aut] , Theodoros Evrenoglou [ctb] , Krzysztof Ciomek [ctb] , Nana-Adjoa Kwarteng [ctb] , Guido Schwarzer [aut, [...truncated...]
Maintainer: Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de>

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More information about netmeta at CRAN
Permanent link

Package nanoparquet updated to version 0.5.0 with previous version 0.4.3 dated 2025-12-17

Title: Read and Write 'Parquet' Files
Description: Self-sufficient reader and writer for flat 'Parquet' files. Can read most 'Parquet' data types. Can write many 'R' data types, including factors and temporal types. See docs for limitations.
Author: Gabor Csardi [aut, cre], Hannes Muehleisen [aut, cph] , Google Inc. [cph], Apache Software Foundation [cph], Posit Software, PBC [cph], RAD Game Tools [cph], Valve Software [cph], Tenacious Software LLC [cph], Facebook, Inc. [cph]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between nanoparquet versions 0.4.3 dated 2025-12-17 and 0.5.0 dated 2026-04-11

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More information about nanoparquet at CRAN
Permanent link

Package metacoder readmission to version 0.3.9 with previous version 0.3.8 dated 2025-02-11

Title: Tools for Parsing, Manipulating, and Graphing Taxonomic Abundance Data
Description: Reads, plots, and manipulates large taxonomic data sets, like those generated from modern high-throughput sequencing, such as metabarcoding (i.e. amplification metagenomics, 16S metagenomics, etc). It provides a tree-based visualization called "heat trees" used to depict statistics for every taxon in a taxonomy using color and size. It also provides various functions to do common tasks in microbiome bioinformatics on data in the 'taxmap' format defined by the 'taxa' package. The 'metacoder' package is described in the publication by Foster et al. (2017) <doi:10.1371/journal.pcbi.1005404>.
Author: Zachary Foster [aut, cre], Niklaus Grunwald [ths], Kamil Slowikowski [ctb], Scott Chamberlain [ctb], Rob Gilmore [ctb]
Maintainer: Zachary Foster <zacharyfoster1989@gmail.com>

This is a re-admission after prior archival of version 0.3.8 dated 2025-02-11

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More information about metacoder at CRAN
Permanent link

Package lightr updated to version 2.0.0 with previous version 1.9.0 dated 2025-07-21

Title: Read Spectrometric Data and Metadata
Description: Parse various reflectance/transmittance/absorbance spectra file formats to extract spectral data and metadata, as described in Gruson, White & Maia (2019) <doi:10.21105/joss.01857>. Among other formats, it can import files from 'Avantes' <https://www.avantes.com/>, 'CRAIC' <https://www.microspectra.com/>, and 'OceanOptics'/'OceanInsight' <https://www.oceanoptics.com/> brands.
Author: Hugo Gruson [cre, aut, cph] , Rafael Maia [aut, cph] , Thomas White [aut, cph] , Kotya Karapetyan [ctb, cph] )
Maintainer: Hugo Gruson <hugo.gruson+R@normalesup.org>

Diff between lightr versions 1.9.0 dated 2025-07-21 and 2.0.0 dated 2026-04-11

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Package crs updated to version 0.15-41 with previous version 0.15-39 dated 2026-01-29

Title: Categorical Regression Splines
Description: Regression splines that handle a mix of continuous and categorical (discrete) data often encountered in applied settings. I would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <https://www.nserc-crsng.gc.ca>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <https://www.sshrc-crsh.gc.ca>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <https://www.sharcnet.ca>). We would also like to acknowledge the contributions of the GNU GSL authors. In particular, we adapt the GNU GSL B-spline routine gsl_bspline.c adding automated support for quantile knots (in addition to uniform knots), providing missing functionality for derivatives, and for extending the splines beyond their endpoints.
Author: Jeffrey S. Racine [aut, cre], Zhenghua Nie [aut], Brian D. Ripley [ctb]
Maintainer: Jeffrey S. Racine <racinej@mcmaster.ca>

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Fri, 10 Apr 2026

Package rregm updated to version 1.1 with previous version 1.0 dated 2026-01-28

Title: Reparameterized Regression Models
Description: Provides estimation and data generation tools for several new regression models, including the gamma, beta, inverse gamma and beta prime distributions. These models can be parameterized based on the mean, median, mode, geometric mean and harmonic mean, as specified by the user. For details, see Bourguignon and Gallardo (2025a) <doi:10.1016/j.chemolab.2025.105382> and Bourguignon and Gallardo (2025b) <doi:10.1111/stan.70007>.
Author: Diego Gallardo [aut, cre], Marcelo Bourguignon [aut], Marcia Brandao [aut]
Maintainer: Diego Gallardo <dgallardo@ubiobio.cl>

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Package highlightr updated to version 2.0.0 with previous version 1.2.0 dated 2025-10-18

Title: Highlight Conserved Edits Across Versions of a Document
Description: Input multiple versions of a source document, and receive HTML code for a highlighted version of the source document indicating the frequency of occurrence of phrases in the different versions. This method is described in Chapter 3 of Rogers (2024) <https://digitalcommons.unl.edu/dissertations/AAI31240449/>.
Author: Center for Statistics and Applications in Forensic Evidence [aut, cph, fnd], Rachel Rogers [aut, cre] , Susan VanderPlas [aut]
Maintainer: Rachel Rogers <rrogers.rpackages@gmail.com>

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Package spicy updated to version 0.8.0 with previous version 0.7.0 dated 2026-03-30

Title: Descriptive Statistics, Summary Tables, and Data Management Tools
Description: Provides tools for descriptive data analysis, variable inspection, data management, and tabulation workflows in 'R'. Summarizes variable metadata, labels, classes, missing values, and representative values, with support for readable frequency tables, cross-tabulations, association measures for contingency tables (Cramer's V, Phi, Goodman-Kruskal Gamma, Kendall's Tau-b, Somers' D, and others), categorical and continuous summary tables, and model-based bivariate tables for continuous outcomes, including APA-style reporting outputs. Includes helpers for interactive codebooks, variable label extraction, clipboard export, and row-wise descriptive summaries. Designed to make descriptive analysis and reporting faster, clearer, and easier to work with in practice.
Author: Amal Tawfik [aut, cre, cph]
Maintainer: Amal Tawfik <amal.tawfik@hesav.ch>

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Package transreg updated to version 1.0.6 with previous version 1.0.5 dated 2025-07-26

Title: Penalised Regression with Multiple Sets of Prior Effects ('Transfer Learning')
Description: Improves the predictive performance of ridge and lasso regression exploiting one or more sources of prior information on the importance and direction of effects (Rauschenberger and others 2023, <doi:10.1093/bioinformatics/btad680>). For running the vignette (optional), install 'fwelnet' and 'ecpc' from <https://github.com/kjytay/fwelnet> and <https://github.com/Mirrelijn/ecpc>, respectively.
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger@uni.lu>

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Package iglm updated to version 1.2.3 with previous version 1.2.2 dated 2026-03-30

Title: Regression under Interference in Connected Populations
Description: An implementation of generalized linear models (GLMs) for studying relationships among attributes in connected populations, where responses of connected units can be dependent, as introduced by Fritz et al. (2025) <doi:10.1080/01621459.2025.2565851>. 'igml' extends GLMs for independent responses to dependent responses and can be used for studying spillover in connected populations and other network-mediated phenomena.
Author: Cornelius Fritz [aut, cre], Michael Schweinberger [aut]
Maintainer: Cornelius Fritz <corneliusfritz2010@gmail.com>

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Package kDGLM updated to version 1.2.14 with previous version 1.2.12 dated 2026-02-04

Title: Bayesian Analysis of Dynamic Generalized Linear Models
Description: Provide routines for filtering and smoothing, forecasting, sampling and Bayesian analysis of Dynamic Generalized Linear Models using the methodology described in Alves et al. (2024)<doi:10.48550/arXiv.2201.05387> and dos Santos Jr. et al. (2024)<doi:10.48550/arXiv.2403.13069>.
Author: Silvaneo dos Santos Jr. [aut, cre], Mariane Branco Alves [aut], Helio dos Santos Migon [aut]
Maintainer: Silvaneo dos Santos Jr. <silvaneojunior@utexas.edu>

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Package tdarec updated to version 0.2.1 with previous version 0.2.0 dated 2025-06-20

Title: A 'recipes' Extension for Persistent Homology and Its Vectorizations
Description: Topological data analytic methods in machine learning rely on vectorizations of the persistence diagrams that encode persistent homology, as surveyed by Ali &al (2000) <doi:10.48550/arXiv.2212.09703>. Persistent homology can be computed using 'TDA' and 'ripserr' and vectorized using 'TDAvec'. The Tidymodels package collection modularizes machine learning in R for straightforward extensibility; see Kuhn & Silge (2022, ISBN:978-1-4920-9644-3). These 'recipe' steps and 'dials' tuners make efficient algorithms for computing and vectorizing persistence diagrams available for Tidymodels workflows.
Author: Jason Cory Brunson [cre, aut]
Maintainer: Jason Cory Brunson <cornelioid@gmail.com>

Diff between tdarec versions 0.2.0 dated 2025-06-20 and 0.2.1 dated 2026-04-10

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Package dataverifyr updated to version 0.1.11 with previous version 0.1.8 dated 2024-01-10

Title: A Lightweight, Flexible, and Fast Data Validation Package that Can Handle All Sizes of Data
Description: Allows you to define rules which can be used to verify a given dataset. The package acts as a thin wrapper around more powerful data packages such as 'dplyr', 'data.table', 'arrow', and 'DBI' ('SQL'), which do the heavy lifting.
Author: David Zimmermann-Kollenda [aut, cre], Beniamino Green [ctb]
Maintainer: David Zimmermann-Kollenda <david_j_zimmermann@hotmail.com>

Diff between dataverifyr versions 0.1.8 dated 2024-01-10 and 0.1.11 dated 2026-04-10

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Package equatiomatic updated to version 0.4.8 with previous version 0.4.4 dated 2025-08-26

Title: Transform Models into 'LaTeX' Equations
Description: The goal of 'equatiomatic' is to reduce the pain associated with writing 'LaTeX' formulas from fitted models. The primary function of the package, extract_eq(), takes a fitted model object as its input and returns the corresponding 'LaTeX' code for the model.
Author: Daniel Anderson [aut] , Andrew Heiss [aut] , Jay Sumners [aut], Joshua Rosenberg [ctb] , Jonathan Sidi [ctb] , Ellis Hughes [ctb] , Thomas Fung [ctb] , Reza Norouzian [ctb] , Indrajeet Patil [ctb] , Quinn White [ctb] , David Kane [ctb], Philippe Gros [...truncated...]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

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Package AgeBandDecomposition updated to version 2.0.1 with previous version 2.0.0 dated 2026-02-04

Title: Age Band Decomposition Method for Tree Ring Standardization
Description: Implements the Age Band Decomposition (ABD) method for standardizing tree ring width data while preserving both low and high frequency variability. Unlike traditional detrending approaches that can distort long term growth trends, ABD decomposes ring width series into multiple age classes, detrends each class separately, and then recombines them to create standardized chronologies. This approach improves the detection of growth signals linked to past climatic and environmental factors, making it particularly valuable for dendroecological and dendroclimatological studies. The package provides functions to perform ABD-based standardization, compare results with other common methods (e.g., BAI, C method, RCS), and facilitate the interpretation of growth patterns under current and future climate variability.
Author: Nicola Puletti [aut, cre] , Gianluigi Mazza [aut] , Dimitrios Sarris [ctb]
Maintainer: Nicola Puletti <nicola.puletti@crea.gov.it>

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Package wbwdi updated to version 1.0.4 with previous version 1.0.3 dated 2025-11-20

Title: Seamless Access to World Bank World Development Indicators (WDI)
Description: Access and analyze the World Bank's World Development Indicators (WDI) using the corresponding API <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation>. WDI provides more than 24,000 country or region-level indicators for various contexts. 'wbwdi' enables users to download, process and work with WDI series across multiple countries, aggregates, and time periods.
Author: Christoph Scheuch [aut, cre, cph]
Maintainer: Christoph Scheuch <christoph@tidy-intelligence.com>

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Package shidashi updated to version 0.2.0 with previous version 0.1.8 dated 2026-03-23

Title: A Shiny Dashboard Template Modular System with Chat Bot Support
Description: A template dashboard system with AI agent integrated. Comes with default themes that can be customized. Developers can upload modified templates on 'Github', and users can easily download templates with 'RStudio' project wizard. The key features of the default template include light and dark theme switcher, resizing graphs, synchronizing inputs across sessions, new notification system, fancy progress bars, and card-like flip panels with back sides, as well as various of 'HTML' tool widgets.
Author: Zhengjia Wang [cph, aut, cre] , ColorlibHQ [cph] , Bootstrap contributors [ctb] , Twitter, Inc [cph] , Ivan Sagalaev [ctb, cph] , Rene Haas [ctb, cph] , Zeno Rocha [ctb, cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package purrr updated to version 1.2.2 with previous version 1.2.1 dated 2026-01-09

Title: Functional Programming Tools
Description: A complete and consistent functional programming toolkit for R.
Author: Hadley Wickham [aut, cre] , Lionel Henry [aut], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

Diff between purrr versions 1.2.1 dated 2026-01-09 and 1.2.2 dated 2026-04-10

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Package photon readmission to version 1.0.0-1 with previous version 1.0.0 dated 2026-02-28

Title: High-Performance Geocoding using 'photon'
Description: Features unstructured, structured and reverse geocoding using the 'photon' geocoding API <https://photon.komoot.io/>. Facilitates the setup of local 'photon' instances to enable offline geocoding.
Author: Jonas Lieth [aut, cre, cph]
Maintainer: Jonas Lieth <jslth@outlook.com>

This is a re-admission after prior archival of version 1.0.0 dated 2026-02-28

Diff between photon versions 1.0.0 dated 2026-02-28 and 1.0.0-1 dated 2026-04-10

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Package normref updated to version 0.1.1 with previous version 0.0.0.1 dated 2025-10-06

Title: Continuous Norming
Description: A toolbox for continuous norming of psychological and educational tests, supporting regression-based norming where norms can vary as a continuous function of age or another norm predictor. Norms are estimated using Generalized Additive Models for Location, Scale, and Shape (GAMLSS), enabling flexible modelling of the full score distribution in a normative sample. The package supports applications in psychometrics and psychological testing, and includes functions for model selection, reliability estimation, norm calculation, including confidence intervals, and sample size planning. For more details, see Timmerman et al. (2021) <doi:10.1037/met0000348>.
Author: Klazien de Vries [aut] , Hannah Heister [aut] , Julian Urban [aut] , Lieke Voncken [ctb] , Marieke Timmerman [aut, cre]
Maintainer: Marieke Timmerman <m.e.timmerman@rug.nl>

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Package InterpretMSSpectrum updated to version 1.5.3 with previous version 1.5.2 dated 2025-12-03

Title: Interpreting High Resolution Mass Spectra
Description: High resolution mass spectrometry yields often large data sets of spectra from compounds which are not present in available libraries. These spectra need to be annotated and interpreted. 'InterpretMSSpectrum' provides a set of functions to perform such tasks for Electrospray-Ionization and Atmospheric-Pressure-Chemical-Ionization derived data in positive and negative ionization mode.
Author: Jan Lisec [aut, cre] , Jaeger Carsten [aut]
Maintainer: Jan Lisec <jan.lisec@bam.de>

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Package ggrounded updated to version 0.1.0 with previous version 0.0.3 dated 2023-05-11

Title: Rounded Bar Plots
Description: Creates bar plots with rounded corners using 'ggplot2'. The code in this package was adapted from a solution provided by Stack Overflow user 'sthoch' in the following post <https://stackoverflow.com/questions/62176038/r-ggplot2-bar-chart-with-round-corners-on-top-of-bar>.
Author: Botan Agin [aut, cre, cph]
Maintainer: Botan Agin <aginbotan@gmail.com>

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Package ggpicrust2 updated to version 2.5.12 with previous version 2.5.10 dated 2026-02-12

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

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Package traits readmission to version 0.6.0 with previous version 0.5.1 dated 2024-05-17

Title: Species Trait Data from Around the Web
Description: Species trait data from many sources, including sequence data from NCBI (<https://www.ncbi.nlm.nih.gov/>), plant traits from BETYdb, and data from EOL Traitbank and BirdLife International.
Author: David LeBauer [aut, cre] , Scott Chamberlain [aut, cph] , Zachary Foster [aut], Ignasi Bartomeus [aut], Chris Black [aut], David Harris [aut], Rupert Collins [ctb]
Maintainer: David LeBauer <dlebauer@gmail.com>

This is a re-admission after prior archival of version 0.5.1 dated 2024-05-17

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Package sfcurve updated to version 1.0.1 with previous version 1.0.0 dated 2024-09-13

Title: 2x2, 3x3 and Nxn Space-Filling Curves
Description: Implementation of all possible forms of 2x2 and 3x3 space-filling curves, i.e., the generalized forms of the Hilbert curve <https://en.wikipedia.org/wiki/Hilbert_curve>, the Peano curve <https://en.wikipedia.org/wiki/Peano_curve> and the Peano curve in the meander type (Figure 5 in <https://eudml.org/doc/141086>). It can generates nxn curves expanded from any specific level-1 units. It also implements the H-curve and the three-dimensional Hilbert curve. See <doi:10.48550/arXiv.2412.16962> for more details.
Author: Zuguang Gu [aut, cre]
Maintainer: Zuguang Gu <guzuguang@suat-sz.edu.cn>

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Package sccic updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-09

Title: Synthetic Control Changes-in-Changes Estimator
Description: Implements the Changes-in-Changes (CIC) estimator of Athey and Imbens (2006) <doi:10.1111/j.1468-0262.2006.00668.x> combined with synthetic control methods. Provides both the continuous CIC estimator (Theorem 3.1) and the discrete CIC estimator (Theorem 4.1) for integer-valued outcomes, with analytic and bootstrap inference. Also provides nonparametric estimation of the entire counterfactual distribution of outcomes for a treated group, allowing evaluation of average, quantile, and distributional treatment effects. Synthetic control weights are constructed via elastic net regularization to handle settings with many potential control units.
Author: Neil Hwang [aut, cre]
Maintainer: Neil Hwang <neil.hwang@bcc.cuny.edu>

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Package rTPC updated to version 1.1.0 with previous version 1.0.4 dated 2023-08-17

Title: Fitting and Analysing Thermal Performance Curves
Description: Helps to fit thermal performance curves (TPCs). 'rTPC' contains 49 model formulations previously used to fit TPCs and has helper functions to set sensible start parameters, upper and lower parameter limits and estimate parameters useful in downstream analyses, such as cardinal temperatures, maximum rate and optimum temperature. See Padfield et al. (2021) <doi:10.1111/2041-210X.13585>.
Author: Daniel Padfield [aut, cre], Hannah O'Sullivan [aut], Francis Windram [aut]
Maintainer: Daniel Padfield <d.padfield@exeter.ac.uk>

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Package pc updated to version 0.2 with previous version 0.1 dated 2026-03-30

Title: Pattern Causality Analysis
Description: Infer causation from observational data through pattern causality analysis (PC), with original algorithm for time series data from Stavroglou et al. (2020) <doi:10.1073/pnas.1918269117>, as well as methodological extensions for spatial cross-sectional data introduced by Zhang & Wang (2025) <doi:10.1080/13658816.2025.2581207>, together with a systematic description proposed in Lyu et al. (2026) <doi:10.1016/j.compenvurbsys.2026.102435>.
Author: Wenbo Lyu [aut, cre, cph]
Maintainer: Wenbo Lyu <lyu.geosocial@gmail.com>

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Package cre.dcf updated to version 0.0.5 with previous version 0.0.3 dated 2026-01-12

Title: Discounted Cash Flow Tools for Commercial Real Estate
Description: Provides 'R' utilities to build unlevered and levered discounted cash flow (DCF) tables for commercial real estate (CRE) assets. Functions generate bullet and amortising debt schedules, compute credit metrics such as debt service coverage ratios (DSCR), debt yield ratios, and forward loan-to-value ratios (LTV), and expose an explicit property-level operating chain from gross effective income (GEI) to net operating income (NOI) and property before-tax cash flow (PBTCF). The toolkit supports end-to-end scenario execution from a YAML (YAML Ain't Markup Language) configuration file parsed with 'yaml', includes helpers for effective rent, constrained loan underwriting, and simplified SPV-level tax simulations, and ships reproducible vignettes for methodological and applied use cases.
Author: Kevin Poisson [aut, cre]
Maintainer: Kevin Poisson <kevin.poisson@parisgeo.cnrs.fr>

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Package mxcc updated to version 0.0.5 with previous version 0.0.4 dated 2025-08-19

Title: Maxwell Control Charts
Description: Computes Control limits, coefficients of control limits, various performance metrics and depicts control charts for monitoring Maxwell-distributed quality characteristics.
Author: Zahid Khan [aut], Zsolt T. Kosztyan [aut, cre]
Maintainer: Zsolt T. Kosztyan <kosztyan.zsolt@gtk.uni-pannon.hu>

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Package multiDEGGs updated to version 1.2.1 with previous version 1.2.0 dated 2026-03-24

Title: Multi-Omic Differentially Expressed Gene-Gene Pairs
Description: Performs multi-omic differential network analysis by revealing differential interactions between molecular entities (genes, proteins, transcription factors, or other biomolecules) across the omic datasets provided. For each omic dataset, a differential network is constructed where links represent statistically significant differential interactions between entities. These networks are then integrated into a comprehensive visualization using distinct colors to distinguish interactions from different omic layers. This unified display allows interactive exploration of cross-omic patterns, such as differential interactions present at both transcript and protein levels. For each link, users can access differential statistical significance metrics (p values or adjusted p values, calculated via robust or traditional linear regression with interaction term) and differential regression plots. The methods implemented in this package are described in Sciacca et al. (2023) <doi:10.1093/bioinform [...truncated...]
Author: Elisabetta Sciacca [aut, cre, cph] , Myles Lewis [ctb]
Maintainer: Elisabetta Sciacca <e.sciacca@qmul.ac.uk>

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Package moodlequiz updated to version 0.2.1 with previous version 0.2.0 dated 2025-12-06

Title: R Markdown format for 'Moodle' XML cloze quizzes
Description: Enables the creation of 'Moodle' quiz questions using literate programming with R Markdown. This makes it easy to quickly create a quiz that can be randomly replicated with new datasets, questions, and options for answers.
Author: Mitchell O'Hara-Wild [aut, cre] , Emi Tanaka [aut]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

Diff between moodlequiz versions 0.2.0 dated 2025-12-06 and 0.2.1 dated 2026-04-10

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Package LabRS updated to version 0.2.1 with previous version 0.2.0 dated 2026-02-07

Title: Laboratorio di Ricerca Sociale con R
Description: Libreria di dati, scripts e funzioni che accompagna il libro "Ricerca sociale con R. Concetti e funzioni base per la ricerca sociale".
Author: Agnese Vardanega [aut, cre]
Maintainer: Agnese Vardanega <avardanega@unite.it>

Diff between LabRS versions 0.2.0 dated 2026-02-07 and 0.2.1 dated 2026-04-10

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Package jgsbook updated to version 1.0.8 with previous version 1.0.7 dated 2024-06-24

Title: Package of the German Book "Statistik mit R und RStudio" by Joerg grosse Schlarmann
Description: All datasets and functions used in the german book "Statistik mit R und RStudio" by grosse Schlarmann (2010-2024) <https://www.produnis.de/R/>.
Author: Joerg grosse Schlarmann [aut, cre]
Maintainer: Joerg grosse Schlarmann <schlarmann@produnis.de>

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Package BlanketStatsments readmission to version 0.1.3 with previous version 0.1.2 dated 2021-08-02

Title: Build and Compare Statistical Models
Description: Build and compare nested statistical models with sets of equal and different independent variables. An analysis using this package is Marquardt et al. (2021) <https://github.com/p-mq/Percentile_based_averaging>.
Author: Dr J. Peter Amin Marquardt [aut, cre]
Maintainer: Dr J. Peter Amin Marquardt <peter@kmarquardt.de>

This is a re-admission after prior archival of version 0.1.2 dated 2021-08-02

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Package TrialEmulation updated to version 0.0.4.11 with previous version 0.0.4.9 dated 2026-01-14

Title: Causal Analysis of Observational Time-to-Event Data
Description: Implements target trial emulation methods to apply randomized clinical trial design and analysis in an observational setting. Using marginal structural models, it can estimate intention-to-treat and per-protocol effects in emulated trials using electronic health records. A description and application of the method can be found in Danaei et al (2013) <doi:10.1177/0962280211403603>.
Author: Isaac Gravestock [aut, cre] , Li Su [aut], Roonak Rezvani [aut] , Julia Moesch [aut], Medical Research Council [fnd], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Isaac Gravestock <isaac.gravestock@roche.com>

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Package this.path updated to version 2.8.0 with previous version 2.7.1 dated 2025-11-07

Title: Get Executing Script's Path
Description: Determine the path of the executing script. Compatible with several popular GUIs: 'Rgui', 'RStudio', 'Positron', 'VSCode', 'Jupyter', 'Emacs', and 'Rscript' (shell). Compatible with several functions and packages: 'source()', 'sys.source()', 'debugSource()' in 'RStudio', 'compiler::loadcmp()', 'utils::Sweave()', 'box::use()', 'knitr::knit()', 'plumber::plumb()', 'shiny::runApp()', 'package:targets', and 'testthat::source_file()'.
Author: Iris Simmons [aut, cre]
Maintainer: Iris Simmons <ikwsimmo@gmail.com>

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Package telescope updated to version 0.2-2 with previous version 0.2-1 dated 2025-08-18

Title: Bayesian Mixtures with an Unknown Number of Components
Description: Fits Bayesian finite mixtures with an unknown number of components using the telescoping sampler and different component distributions. For more details see Frühwirth-Schnatter et al. (2021) <doi:10.1214/21-BA1294>, Malsiner-Walli et al. (in press) <doi:10.1007/s11634-025-00640-x> and Malsiner-Walli et al. (2026) <doi:10.48550/arXiv.2603.00277>.
Author: Gertraud Malsiner-Walli [aut, cre] , Bettina Gruen [aut] , Sylvia Fruehwirth-Schnatter [aut]
Maintainer: Gertraud Malsiner-Walli <Gertraud.Malsiner-Walli@wu.ac.at>

Diff between telescope versions 0.2-1 dated 2025-08-18 and 0.2-2 dated 2026-04-10

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Permanent link

Package TAG readmission to version 0.7.1 with previous version 0.5.1 dated 2021-06-07

Title: Transformed Additive Gaussian Processes
Description: Implement the transformed additive Gaussian (TAG) process and the transformed approximately additive Gaussian (TAAG) process proposed in Lin and Joseph (2020) <DOI:10.1080/00401706.2019.1665592>. These functions can be used to model deterministic computer experiments, obtain predictions at new inputs, and quantify the uncertainty of the predictions. This research is supported by a U.S. National Science Foundation grant DMS-1712642 and a U.S. Army Research Office grant W911NF-17-1-0007.
Author: Li-Hsiang Lin [aut, cre], V. Roshan Joseph [aut]
Maintainer: Li-Hsiang Lin <lhlin@gsu.edu>

This is a re-admission after prior archival of version 0.5.1 dated 2021-06-07

Diff between TAG versions 0.5.1 dated 2021-06-07 and 0.7.1 dated 2026-04-10

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Package scip updated to version 1.10.0-3 with previous version 1.10.0-2 dated 2026-04-03

Title: Interface to the SCIP Optimization Suite
Description: Provides an R interface to SCIP (Solving Constraint Integer Programs), a framework for mixed-integer programming (MIP), mixed-integer nonlinear programming (MINLP), and constraint integer programming (2025, <doi:10.48550/arXiv.2511.18580>). Supports linear, quadratic, SOS, indicator, and knapsack constraints with continuous, binary, and integer variables. Includes a one-shot solver interface and a model-building API for incremental problem construction.
Author: Balasubramanian Narasimhan [aut, cre] , SCIP Optimization Suite Authors [cph]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>

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Package rvMF updated to version 0.1.2 with previous version 0.1.1 dated 2026-02-15

Title: Fast Generation of von Mises-Fisher Distributed Pseudo-Random Vectors
Description: Generates pseudo-random vectors that follow an arbitrary von Mises-Fisher distribution on a sphere. This method is fast and efficient when generating a large number of pseudo-random vectors. Functions to generate random variates and compute density for the distribution of an inner product between von Mises-Fisher random vector and its mean direction are also provided. Details are in Kang and Oh (2024) <doi:10.1007/s11222-024-10419-3>.
Author: Seungwoo Kang [aut, cre] , Hee-Seok Oh [aut]
Maintainer: Seungwoo Kang <kangsw@skku.edu>

Diff between rvMF versions 0.1.1 dated 2026-02-15 and 0.1.2 dated 2026-04-10

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Package RFIF updated to version 1.0.1 with previous version 1.0 dated 2026-03-31

Title: Fast Iterative Filtering (FIF) with Portable FFT Backend
Description: Provides an R interface to a C implementation of Fast Iterative Filtering (FIF) for decomposing a univariate signal into intrinsic mode functions (IMFs) and a residual. The package uses Fast Fourier Transform library FFTW, if found. If not, it provides instructions to install it for your OS. This is recommended, as R's internal fft(), while avoiding external FFT dependencies, is two orders of magnitude slower. See vignette 'Installing FFTW for RFIF' for RFIF installation instructions.
Author: Chuck Coleman [aut, cre]
Maintainer: Chuck Coleman <cdcoleman113@gmail.com>

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Package quasar updated to version 0.2.1 with previous version 0.2.0 dated 2026-01-09

Title: Valid Inference on Multiple Quantile Regressions
Description: The approach is based on the closed testing procedure to control familywise error rate in a strong sense. The local tests implemented are Wald-type and rank-score. The method is described in De Santis, et al., (2026), <doi:10.48550/arXiv.2511.07999>.
Author: Angela Andreella [aut, cre], Anna Vesely [aut], Riccardo De Santis [aut]
Maintainer: Angela Andreella <angela.andreella@unive.it>

Diff between quasar versions 0.2.0 dated 2026-01-09 and 0.2.1 dated 2026-04-10

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Package panelView updated to version 1.3.0 with previous version 1.2.1 dated 2026-03-21

Title: Visualizing Panel Data
Description: Visualizes panel data. It has four main functionalities: (1) it plots the treatment status and missing values in a panel dataset; (2) it visualizes the temporal dynamics of a main variable of interest; (3) it depicts the bivariate relationships between a treatment variable and an outcome variable either by unit or in aggregate; (4) it displays the network structure of multi-way fixed effects as a k-partite graph, identifying connected components, singletons, and duplicate observations. For details, see <doi:10.18637/jss.v107.i07>.
Author: Yiqing Xu [aut, cre] , Hongyu Mou [aut], Licheng Liu [aut]
Maintainer: Yiqing Xu <yiqingxu@stanford.edu>

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Package interflex updated to version 1.4.0 with previous version 1.2.8 dated 2025-12-17

Title: Estimation, Diagnostics and Visualization of Conditional Marginal Effects
Description: Performs estimation, diagnostics, and visualization of conditional marginal effects and group average treatment effects of a treatment on an outcome across different values of a moderator. Optionally integrates with the 'mlr3extralearners' package for additional machine learning backends compatible with the double machine learning estimators. 'mlr3extralearners' is not on CRAN but can be obtained from <https://github.com/mlr-org/mlr3extralearners>.
Author: Yiqing Xu [aut, cre], Jens Hainmueller [aut], Jonathan Mummolo [aut], Tianzhu Qin [aut], Jiehan Liu [aut], Ziyi Liu [aut]
Maintainer: Yiqing Xu <yiqingxu@stanford.edu>

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Package gecko updated to version 1.0.3 with previous version 1.0.2 dated 2025-09-02

Title: Geographical Ecology and Conservation Knowledge Online
Description: Includes a collection of geographical analysis functions aimed primarily at ecology and conservation science studies, allowing processing of both point and raster data. Now integrates SPECTRE (<https://biodiversityresearch.org/spectre/>), a dataset of global geospatial threat data, developed by the authors.
Author: Vasco V. Branco [cre, aut] , Pedro Cardoso [aut] , Luis Correia [ctb]
Maintainer: Vasco V. Branco <vasco.branco@helsinki.fi>

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Package colorRamp2 updated to version 0.1.1 with previous version 0.1.0 dated 2022-12-21

Title: Generate Color Mapping Functions
Description: A color mapping is generated according to the break values and corresponding colors. Other colors are generated by interpolating in a certain color space. The functions were part of the 'circlize' package <https://CRAN.R-project.org/package=circlize>.
Author: Zuguang Gu [aut, cre]
Maintainer: Zuguang Gu <guzuguang@suat-sz.edu.cn>

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Package babynamesIL updated to version 0.2.3 with previous version 0.2.1 dated 2026-03-05

Title: Israel Baby Names 1949-2024
Description: Israeli baby names provided by Israel's Central Bureau of Statistics (CBS/LAMAS). Contains names used for at least 5 children in a given year, covering sectors "Jewish", "Muslim", "Christian-Arab", and "Druze" from 1949-2024. Legacy 1948 data and archived "Other" sector data are provided as separate datasets. Primary data source: CBS Release 391/2025 <https://www.cbs.gov.il/he/mediarelease/DocLib/2025/391/11_25_391t1.xlsx>.
Author: Aviezer Lifshitz [aut, cre]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>

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Package TSSS updated to version 1.3.4-7 with previous version 1.3.4-5 dated 2023-09-29

Title: Time Series Analysis with State Space Model
Description: Functions for statistical analysis, modeling and simulation of time series with state space model, based on the methodology in Kitagawa (2020, ISBN: 978-0-367-18733-0).
Author: Yoshinori Kawasaki [aut, cre], Junji Nakano [aut], Masami Saga [aut], The Institute of Statistical Mathematics [cph, fnd]
Maintainer: Yoshinori Kawasaki <kawasaki@ism.ac.jp>

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Package timeROC updated to version 0.4.1 with previous version 0.4 dated 2019-12-18

Title: Time-Dependent ROC Curve and AUC for Censored Survival Data
Description: Estimation of time-dependent ROC curve and area under time dependent ROC curve (AUC) in the presence of censored data, with or without competing risks. Confidence intervals of AUCs and tests for comparing AUCs of two rival markers measured on the same subjects can be computed, using the iid-representation of the AUC estimator. Plot functions for time-dependent ROC curves and AUC curves are provided. Time-dependent Positive Predictive Values (PPV) and Negative Predictive Values (NPV) can also be computed. See Blanche et al. (2013) <doi:10.1002/sim.5958> and references therein for the details of the methods implemented in the package.
Author: Paul Blanche [aut, cre]
Maintainer: Paul Blanche <paulfblanche@gmail.com>

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Package SeleMix updated to version 1.0.4 with previous version 1.0.3 dated 2025-01-23

Title: Selective Editing via Mixture Models
Description: Detection of outliers and influential errors using a latent variable model.
Author: Ugo Guarnera [aut], Teresa Buglielli [aut], Davide Di Cecco [aut, cre]
Maintainer: Davide Di Cecco <dicecco@istat.it>

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Package samr updated to version 3.0.1 with previous version 3.0 dated 2018-10-16

Title: SAM: Significance Analysis of Microarrays
Description: Significance Analysis of Microarrays for differential expression analysis, RNAseq data and related problems.
Author: Rob Tibshirani [aut, cre], Michael J. Seo [aut], G. Chu [aut], Balasubramanian Narasimhan [aut], Jun Li [aut]
Maintainer: Rob Tibshirani <tibs@stanford.edu>

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Package psychReport readmission to version 4.0.1 with previous version 3.0.2 dated 2022-09-09

Title: Reproducible Reports in Psychology
Description: Helper functions for producing reports in Psychology (Reproducible Research). Provides required formatted strings (APA style) for use in 'Knitr'/'Latex' integration within *.Rnw files.
Author: Ian G Mackenzie [cre, aut], Carolin Dudschig [aut]
Maintainer: Ian G Mackenzie <ian.mackenzie@uni-tuebingen.de>

This is a re-admission after prior archival of version 3.0.2 dated 2022-09-09

Diff between psychReport versions 3.0.2 dated 2022-09-09 and 4.0.1 dated 2026-04-10

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Package netdiffuseR readmission to version 1.25.0 with previous version 1.24.0 dated 2025-12-09

Title: Analysis of Diffusion and Contagion Processes on Networks
Description: Empirical statistical analysis, visualization and simulation of diffusion and contagion processes on networks. The package implements algorithms for calculating network diffusion statistics such as transmission rate, hazard rates, exposure models, network threshold levels, infectiousness (contagion), and susceptibility. The package is inspired by work published in Valente, et al., (2015) <DOI:10.1016/j.socscimed.2015.10.001>; Valente (1995) <ISBN: 9781881303213>, Myers (2000) <DOI:10.1086/303110>, Iyengar and others (2011) <DOI:10.1287/mksc.1100.0566>, Burt (1987) <DOI:10.1086/228667>; among others.
Author: George Vega Yon [aut, cre] , Thomas Valente [aut, cph] , Anibal Olivera Morales [aut, ctb] , Stephanie Dyal [ctb] , Timothy Hayes [ctb]
Maintainer: George Vega Yon <g.vegayon@gmail.com>

This is a re-admission after prior archival of version 1.24.0 dated 2025-12-09

Diff between netdiffuseR versions 1.24.0 dated 2025-12-09 and 1.25.0 dated 2026-04-10

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Package nestedcv readmission to version 0.8.2 with previous version 0.8.0 dated 2025-03-10

Title: Nested Cross-Validation with 'glmnet' and 'caret'
Description: Implements nested k*l-fold cross-validation for lasso and elastic-net regularised linear models via the 'glmnet' package and other machine learning models via the 'caret' package <doi:10.1093/bioadv/vbad048>. Cross-validation of 'glmnet' alpha mixing parameter and embedded fast filter functions for feature selection are provided. Described as double cross-validation by Stone (1977) <doi:10.1111/j.2517-6161.1977.tb01603.x>. Also implemented is a method using outer CV to measure unbiased model performance metrics when fitting Bayesian linear and logistic regression shrinkage models using the horseshoe prior over parameters to encourage a sparse model as described by Piironen & Vehtari (2017) <doi:10.1214/17-EJS1337SI>.
Author: Myles Lewis [aut, cre] , Athina Spiliopoulou [aut] , Cankut Cubuk [ctb] , Katriona Goldmann [ctb] , Ryan C. Thompson [ctb]
Maintainer: Myles Lewis <myles.lewis@qmul.ac.uk>

This is a re-admission after prior archival of version 0.8.0 dated 2025-03-10

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Package microeco updated to version 2.1.0 with previous version 2.0.0 dated 2026-01-27

Title: Microbial Community Ecology Data Analysis
Description: A series of statistical and plotting approaches in microbial community ecology based on the R6 class. The classes are designed for data preprocessing, taxa abundance plotting, alpha diversity analysis, beta diversity analysis, differential abundance test, null model analysis, network analysis, machine learning, environmental data analysis and functional analysis.
Author: Chi Liu [aut, cre], Felipe R. P. Mansoldo [ctb], Minjie Yao [ctb], Xiangzhen Li [ctb]
Maintainer: Chi Liu <liuchi0426@126.com>

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Package maplegend updated to version 0.6.1 with previous version 0.6.0 dated 2026-04-07

Title: Legends for Maps
Description: Create legends for maps and other graphics. Thematic maps need to be accompanied by legible legends to be fully comprehensible. This package offers a wide range of legends useful for cartography, some of which may also be useful for other types of graphics.
Author: Timothee Giraud [cre, aut]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

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Package FORTLS readmission to version 2.0.0 with previous version 1.6.2 dated 2026-01-19

Title: Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes
Description: Process automation of point cloud data derived from terrestrial-based technologies such as Terrestrial Laser Scanner (TLS) or Mobile Laser Scanner. 'FORTLS' enables (i) detection of trees and estimation of tree-level attributes (e.g. diameters and heights), (ii) estimation of stand-level variables (e.g. density, basal area, mean and dominant height), (iii) computation of metrics related to important forest attributes estimated in Forest Inventories at stand-level, and (iv) optimization of plot design for combining TLS data and field measured data. Documentation about 'FORTLS' is described in Molina-Valero et al. (2022, <doi:10.1016/j.envsoft.2022.105337>).
Author: Juan Alberto Molina-Valero [aut, cph, cre], Adela Martinez-Calvo [aut, com], Juan Gabriel Alvarez-Gonzalez [aut, ths], Fernando Montes [aut], Cesar Perez-Cruzado [aut, ths]
Maintainer: Juan Alberto Molina-Valero <jamolinavalero@gmail.com>

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Package CePa updated to version 0.8.2 with previous version 0.8.1 dated 2024-10-08

Title: Centrality-Based Pathway Enrichment
Description: It aims to find significant pathways through network topology information. It has several advantages compared with current pathway enrichment tools. First, pathway node instead of single gene is taken as the basic unit when analysing networks to meet the fact that genes must be constructed into complexes to hold normal functions. Second, multiple network centrality measures are applied simultaneously to measure importance of nodes from different aspects to make a full view on the biological system. CePa extends standard pathway enrichment methods, which include both over-representation analysis procedure and gene-set analysis procedure. <doi:10.1093/bioinformatics/btt008>.
Author: Zuguang Gu [aut, cre]
Maintainer: Zuguang Gu <guzuguang@suat-sz.edu.cn>

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Package boostmtree readmission to version 2.0.0 with previous version 1.5.1 dated 2022-03-10

Title: Boosted Multivariate Trees for Longitudinal Data
Description: Implements Friedman's gradient descent boosting algorithm for modeling longitudinal response using multivariate tree base learners. Longitudinal response could be continuous, binary, nominal or ordinal. A time-covariate interaction effect is modeled using penalized B-splines (P-splines) with estimated adaptive smoothing parameter. Although the package is design for longitudinal data, it can handle cross-sectional data as well. Implementation details are provided in Pande et al. (2017), Mach Learn <DOI:10.1007/s10994-016-5597-1>.
Author: Hemant Ishwaran [aut], Amol Pande [aut], Udaya B. Kogalur [aut, cre]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

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Package wordPuzzleR updated to version 0.1.2 with previous version 0.1.1 dated 2024-02-24

Title: Word Puzzle Game
Description: The word puzzle game requires you to find out the letters in a word within a limited number of guesses. In each round, if your guess hit any letters in the word, they reveal themselves. If all letters are revealed before your guesses run out, you win this game; otherwise you fail. You may run multiple games to guess different words.
Author: Xiurui Zhu [aut, cre], @olivroy [ctb]
Maintainer: Xiurui Zhu <zxr6@163.com>

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Package rsconnect updated to version 1.8.0 with previous version 1.7.0 dated 2025-12-06

Title: Deploy Docs, Apps, and APIs to 'Posit Connect', 'shinyapps.io', and 'RPubs'
Description: Programmatic deployment interface for 'RPubs', 'shinyapps.io', and 'Posit Connect'. Supported content types include R Markdown documents, Shiny applications, Plumber APIs, plots, and static web content.
Author: Aron Atkins [aut, cre], Toph Allen [aut], Hadley Wickham [aut], Jonathan McPherson [aut], JJ Allaire [aut], Posit Software, PBC [cph, fnd]
Maintainer: Aron Atkins <aron@posit.co>

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Package box updated to version 1.2.2 with previous version 1.2.1 dated 2025-11-28

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

Diff between box versions 1.2.1 dated 2025-11-28 and 1.2.2 dated 2026-04-10

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Package readODS updated to version 2.3.4 with previous version 2.3.2 dated 2025-01-13

Title: Read and Write ODS Files
Description: Read ODS (OpenDocument Spreadsheet) into R as data frame. Also support writing data frame into ODS file.
Author: Gerrit-Jan Schutten [aut], Chung-hong Chan [aut, cre] , Peter Brohan [aut], Detlef Steuer [aut] , Thomas J. Leeper [aut] , John Foster [ctb], Sergio Oller [ctb], Jim Hester [ctb] , Stephen Watts [ctb], Arthur Katossky [ctb], Stas Malavin [ctb], Dunca [...truncated...]
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

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Package randomForestSRC updated to version 3.6.1 with previous version 3.6.0 dated 2026-03-25

Title: Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
Description: Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. New Mahalanobis splitting for correlated outcomes. Extreme random forests and randomized splitting. Suite of imputation methods for missing data. Fast random forests using subsampling. Confidence regions and standard errors for variable importance. New improved holdout importance. Case-specific importance. Minimal depth variable importance. Visualize trees on your Safari or Google Chrome browser. Anonymous random forests for data privacy.
Author: Hemant Ishwaran [aut], Udaya B. Kogalur [aut, cre]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

Diff between randomForestSRC versions 3.6.0 dated 2026-03-25 and 3.6.1 dated 2026-04-10

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Package PortfolioAnalytics updated to version 2.1.2 with previous version 2.1.1 dated 2026-02-04

Title: Portfolio Analysis, Including Numerical Methods for Optimization of Portfolios
Description: Portfolio optimization and analysis routines and graphics.
Author: Brian G. Peterson [cre, aut, cph], Peter Carl [aut, cph], Ross Bennett [ctb, cph], Kris Boudt [ctb, cph], Xinran Zhao [ctb, cph], R. Douglas Martin [ctb], Guy Yollin [ctb], Hezky Varon [ctb], Xiaokang Feng [ctb], Yifu Kang [ctb]
Maintainer: Brian G. Peterson <brian@braverock.com>

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Package NNS updated to version 12.0 with previous version 11.6.5 dated 2026-03-11

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

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Package nleqslv updated to version 3.3.7 with previous version 3.3.6 dated 2026-03-05

Title: Solve Systems of Nonlinear Equations
Description: Solve a system of nonlinear equations using a Broyden or a Newton method with a choice of global strategies such as line search and trust region. There are options for using a numerical or user supplied Jacobian, for specifying a banded numerical Jacobian and for allowing a singular or ill-conditioned Jacobian.
Author: Berend Hasselman [aut] , Rob Carnell [aut, cre]
Maintainer: Rob Carnell <bertcarnell@gmail.com>

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Package mixediffusion updated to version 1.0.1 with previous version 1.0.0 dated 2026-03-20

Title: Mixed-Effects Diffusion Models with General Drift
Description: Provides tools for likelihood-based inference in one-dimensional stochastic differential equations with mixed effects using expectation–maximization (EM) algorithms. The package supports Wiener and Ornstein–Uhlenbeck diffusion processes with user-specified drift functions, allowing flexible parametric forms including polynomial, exponential, and trigonometric structures. Estimation is performed via Markov chain Monte Carlo EM.
Author: Pedro Abraham Montoya Calzada [aut, cre, cph] , Rogelio Salinas Gutierrez [aut, cph] , Silvia Rodriguez-Narciso [aut, cph] , Netzahualcoyotl Castaneda-Leyva [aut, cph]
Maintainer: Pedro Abraham Montoya Calzada <pedroabraham.montoya@gmail.com>

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Package LCPA updated to version 1.0.2 with previous version 1.0.1 dated 2026-02-27

Title: A General Framework for Latent Classify and Profile Analysis
Description: A unified latent class modeling framework that encompasses both latent class analysis (LCA) and latent profile analysis (LPA), offering a one-stop solution for latent class modeling. It implements state-of-the-art parameter estimation methods, including the expectation–maximization (EM) algorithm, neural network estimation (NNE; requires users to have 'Python' and its dependent libraries installed on their computer), and integration with 'Mplus' (requires users to have 'Mplus' installed on their computer). In addition, it provides commonly used model fit indices such as the Akaike information criterion (AIC) and Bayesian information criterion (BIC), as well as classification accuracy measures such as entropy. The package also includes fully functional likelihood ratio tests (LRT) and bootstrap likelihood ratio tests (BLRT) to facilitate model comparison, along with bootstrap-based and observed information matrix-based standard error estimation. Furthermore, it supports the standard thr [...truncated...]
Author: Haijiang Qin [aut, cre, cph] , Lei Guo [aut, cph]
Maintainer: Haijiang Qin <haijiang133@outlook.com>

Diff between LCPA versions 1.0.1 dated 2026-02-27 and 1.0.2 dated 2026-04-10

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Package autoharp updated to version 0.3.1 with previous version 0.2.0 dated 2026-02-19

Title: Semi-Automatic Grading of R and Rmd Scripts
Description: A customisable set of tools for assessing and grading R or R-markdown scripts from students. It allows for checking correctness of code output, runtime statistics and static code analysis. The latter feature is made possible by representing R expressions using a tree structure.
Author: Vik Gopal [aut], Agrawal Naman [aut, cre], Yuting Huang [ctb], Samuel Seah [aut], Viknesh Jeya Kumar [aut], Gabriel Ang [aut], Ruofan Liu [ctb], National University of Singapore [cph]
Maintainer: Agrawal Naman <naman.a@nus.edu.sg>

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Thu, 09 Apr 2026

Package SSVS updated to version 2.2.0 with previous version 2.1.0 dated 2025-03-19

Title: Functions for Stochastic Search Variable Selection (SSVS)
Description: Functions for performing stochastic search variable selection (SSVS) for binary and continuous outcomes and visualizing the results. SSVS is a Bayesian variable selection method used to estimate the probability that individual predictors should be included in a regression model. Using MCMC estimation, the method samples thousands of regression models in order to characterize the model uncertainty regarding both the predictor set and the regression parameters. For details see Bainter, McCauley, Wager, and Losin (2020) Improving practices for selecting a subset of important predictors in psychology: An application to predicting pain, Advances in Methods and Practices in Psychological Science 3(1), 66-80 <DOI:10.1177/2515245919885617>.
Author: Sierra Bainter [cre, aut] , Thomas McCauley [aut], Mahmoud Fahmy [aut], Dean Attali [aut]
Maintainer: Sierra Bainter <sbainter@miami.edu>

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