Mon, 04 May 2026

Package roxigraph updated to version 0.1.2 with previous version 0.1.1 dated 2026-02-12

Title: 'RDF' and 'SPARQL' for R using 'Oxigraph'
Description: Provides 'RDF' storage and 'SPARQL' 1.1 query capabilities by wrapping the 'Oxigraph' graph database library <https://github.com/oxigraph/oxigraph>. Supports in-memory and persistent ('RocksDB') storage, multiple 'RDF' serialization formats ('Turtle', 'N-Triples', 'RDF-XML', 'N-Quads', 'TriG'), and full 'SPARQL' 1.1 Query and Update support. Built using the 'extendr' framework for 'Rust'-R bindings.
Author: Carl Boettiger [aut, cre] , Oxigraph Contributors [cph] , Authors of the dependency Rust crates [aut]
Maintainer: Carl Boettiger <cboettig@gmail.com>

Diff between roxigraph versions 0.1.1 dated 2026-02-12 and 0.1.2 dated 2026-05-04

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Package diversityArch updated to version 0.3.0 with previous version 0.2.0 dated 2026-04-27

Title: Computes Diversity Indices with Archaeological Data
Description: Companion package of Arnaud Barat, Andreu Sansó, Maite Arilla-Osuna, Ruth Blasco, Iñaki Pérez-Fernández, Gabriel Cifuentes-Alcobenda, Rubén Llorente, Daniel Vivar-Ríos, Ella Assaf, Ran Barkai, Avi Gopher, & Jordi Rosell-Ardèvol (2025), "Quantifying Diversity through Entropy Decomposition. Insights into Hominin Occupation and Carcass Processing at Qesem cave".
Author: Andreu Sanso [aut, cre], Arnaud Barat [aut], Jordi Rosell [aut]
Maintainer: Andreu Sanso <andreu.sanso@uib.eu>

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Package inTextSummaryTable updated to version 3.4.0 with previous version 3.3.5 dated 2025-09-25

Title: Creation of in-Text Summary Table
Description: Creation of tables of summary statistics or counts for clinical data (for 'TLFs'). These tables can be exported as in-text table (with the 'flextable' package) for a Clinical Study Report (Word format) or a 'topline' presentation (PowerPoint format), or as interactive table (with the 'DT' package) to an html document for clinical data review.
Author: Laure Cougnaud [aut, cre], Michela Pasetto [aut], Margaux Faes [rev] , Open Analytics [cph]
Maintainer: Laure Cougnaud <laure.cougnaud@openanalytics.eu>

Diff between inTextSummaryTable versions 3.3.5 dated 2025-09-25 and 3.4.0 dated 2026-05-04

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Package DDD updated to version 5.2.5 with previous version 5.2.4 dated 2025-11-28

Title: Diversity-Dependent Diversification
Description: Implements maximum likelihood and bootstrap methods based on the diversity-dependent birth-death process to test whether speciation or extinction are diversity-dependent, under various models including various types of key innovations. See Etienne et al. 2012, Proc. Roy. Soc. B 279: 1300-1309, <DOI:10.1098/rspb.2011.1439>, Etienne & Haegeman 2012, Am. Nat. 180: E75-E89, <DOI:10.1086/667574>, Etienne et al. 2016. Meth. Ecol. Evol. 7: 1092-1099, <DOI:10.1111/2041-210X.12565> and Laudanno et al. 2021. Syst. Biol. 70: 389–407, <DOI:10.1093/sysbio/syaa048>. Also contains functions to simulate the diversity-dependent process.
Author: Rampal S. Etienne [aut, cre] , Bart Haegeman [aut] , Hanno Hildenbrandt [ctb] , Giovanni Laudanno [ctb]
Maintainer: Rampal S. Etienne <r.s.etienne@rug.nl>

Diff between DDD versions 5.2.4 dated 2025-11-28 and 5.2.5 dated 2026-05-04

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Package cffr updated to version 1.4.0 with previous version 1.3.0 dated 2026-03-13

Title: Generate Citation File Format ('cff') Metadata for R Packages
Description: The Citation File Format version 1.2.0 <doi:10.5281/zenodo.5171937> is a human and machine readable file format which provides citation metadata for software. This package provides core utilities to generate and validate this metadata.
Author: Diego Hernangomez [aut, cre, cph] , Joao Martins [rev] , Scott Chamberlain [rev]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

Diff between cffr versions 1.3.0 dated 2026-03-13 and 1.4.0 dated 2026-05-04

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Package stdmod updated to version 0.2.13 with previous version 0.2.12 dated 2026-01-07

Title: Standardized Moderation Effect and Its Confidence Interval
Description: Functions for computing a standardized moderation effect in moderated regression and forming its confidence interval by nonparametric bootstrapping as proposed in Cheung, Cheung, Lau, Hui, and Vong (2022) <doi:10.1037/hea0001188>. Also includes simple-to-use functions for computing conditional effects (unstandardized or standardized) and plotting moderation effects.
Author: Shu Fai Cheung [aut, cre] , David Weng Ngai Vong [ctb]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

Diff between stdmod versions 0.2.12 dated 2026-01-07 and 0.2.13 dated 2026-05-04

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Package smoothr updated to version 1.3.0 with previous version 1.2.1 dated 2025-10-21

Title: Smooth and Tidy Spatial Features
Description: Tools for smoothing and tidying spatial features (i.e. lines and polygons) to make them more aesthetically pleasing. Smooth curves, fill holes, and remove small fragments from lines and polygons.
Author: Matthew Strimas-Mackey [aut, cre]
Maintainer: Matthew Strimas-Mackey <mstrimas@gmail.com>

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Package rgm readmission to version 1.2.1 with previous version 1.0.4 dated 2024-03-21

Title: Advanced Inference with Random Graphical Models
Description: Implements Random Graphical Models for multivariate data analysis across multiple environments, providing tools for exploring network interactions and structural relationships. Capabilities include joint inference across environments, integration of external covariates, and a Bayesian framework for uncertainty quantification. Applicable in various fields, including microbiome analysis. Methods based on Vinciotti, V., Wit, E. C., and Richter, F. (2026) "Random Graphical Model of Microbiome Interactions in Related Environments" <doi:10.1007/s13253-024-00638-6>.
Author: Francisco Richter [aut, cre], Veronica Vinciotti [ctb], Ernst Wit [ctb]
Maintainer: Francisco Richter <richtf@usi.ch>

This is a re-admission after prior archival of version 1.0.4 dated 2024-03-21

Diff between rgm versions 1.0.4 dated 2024-03-21 and 1.2.1 dated 2026-05-04

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Package rehh.data updated to version 1.0.1 with previous version 1.0.0 dated 2016-11-08

Title: Data Only: Searching for Footprints of Selection using Haplotype Homozygosity Based Tests
Description: Contains example data for the 'rehh' package.
Author: Mathieu Gautier [aut, cre], Alexander Klassmann [aut], Renaud Vitalis [aut]
Maintainer: Mathieu Gautier <mathieu.gautier@inrae.fr>

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Package L1centrality updated to version 0.5.1 with previous version 0.5.0 dated 2026-04-29

Title: Graph/Network Analysis Based on L1 Centrality
Description: Analyze graph/network data using L1 centrality and prestige. Functions for deriving global, local, and group L1 centrality/prestige are provided. Routines for visual inspection of a graph/network are also provided. Details are in Kang and Oh (2026a) <doi:10.1080/01621459.2025.2520467>, Kang and Oh (2026b) <doi:10.1080/00031305.2025.2563730>, and Kang (2025) <doi:10.23170/snu.000000188358.11032.0001856>.
Author: Seungwoo Kang [aut, cre] , Hee-Seok Oh [aut]
Maintainer: Seungwoo Kang <kangsw@skku.edu>

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Package INLAtools readmission to version 0.1.4 with previous version 0.1.3 dated 2026-04-22

Title: Functionalities for the 'INLA' Package
Description: Contain code to work with a C struct, in short cgeneric, to define a Gaussian Markov random (GMRF) model. The cgeneric contain code to specify GMRF elements such as the graph and the precision matrix, and also the initial and prior for its parameters, useful for model inference. It can be accessed from a C program and is the recommended way to implement new GMRF models in the 'INLA' package (<https://www.r-inla.org>). The 'INLAtools' implement functions to evaluate each one of the model specifications from R. The implemented functionalities leverage the use of 'cgeneric' models and provide a way to debug the code as well to work with the prior for the model parameters and to sample from it. The `generic0` can be used to implement intrinsic models with the scaling as proposed in Sørbye & Rue (2014) <doi:10.1016/j.spasta.2013.06.004>, and the required constraints. A very useful functionality is the Kronecker product method that creates a new model from multiple cgen [...truncated...]
Author: Elias Teixeira Krainski [cre, aut, cph] , Finn Lindgren [aut] , Haavard Rue’ [aut]
Maintainer: Elias Teixeira Krainski <elias.krainski@kaust.edu.sa>

This is a re-admission after prior archival of version 0.1.3 dated 2026-04-22

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Package GLMBasedRaschEstimation updated to version 0.2.0 with previous version 0.1.2 dated 2026-04-22

Title: GLM-Based Estimation for Rasch Model Parameters
Description: Provides functions for estimating Rasch model parameters using the Generalized Linear Model (GLM) framework. The methods implemented are based on Brown (2018, ISBN:978-3-319-93547-8) <doi:10.1007/978-3-319-93549-2> and Debelak et al. (2022, ISBN:978-1-138-71046-7) <doi:10.1201/9781315200620>.
Author: Ahmed Samir Megahed [aut, cre], Mustafa Ali Khalaf [aut], Ibraheem Mohamed Mougy [aut]
Maintainer: Ahmed Samir Megahed <Asamir@foe.zu.edu.eg>

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Package nanonext updated to version 1.9.0 with previous version 1.8.2 dated 2026-04-04

Title: Lightweight Toolkit for Messaging, Concurrency and the Web
Description: R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. A toolkit for messaging, concurrency and the web. High-performance socket messaging over in-process, IPC, TCP, WebSocket and secure TLS transports implements 'Scalability Protocols', a standard for common communications patterns including publish/subscribe, request/reply and survey. A threaded concurrency framework with intuitive 'aio' objects that resolve automatically upon completion of asynchronous operations, and synchronisation primitives that allow R to wait on events signalled by concurrent threads. A unified HTTP server hosting REST endpoints, WebSocket connections and streaming on a single port, with a built-in HTTP client.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Hibiki AI Limited [cph], Staysail Systems, Inc. [cph] , Capitar IT Group BV [cph] , The Mbed TLS Contributors [cph] , Pierre L'Ecuyer [cph] , sakura authors [cph] , R Consortium [fnd]
Maintainer: Charlie Gao <charlie.gao@posit.co>

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Package moocore updated to version 0.3.1 with previous version 0.3.0 dated 2026-05-03

Title: Core Mathematical Functions for Multi-Objective Optimization
Description: Fast implementations of mathematical operations and performance metrics for multi-objective optimization, including filtering and ranking of dominated vectors according to Pareto optimality, hypervolume metric, C.M. Fonseca, L. Paquete, M. López-Ibáñez (2006) <doi:10.1109/CEC.2006.1688440>, epsilon indicator, inverted generational distance, computation of the empirical attainment function, V.G. da Fonseca, C.M. Fonseca, A.O. Hall (2001) <doi:10.1007/3-540-44719-9_15>, and Vorob'ev threshold, expectation and deviation, M. Binois, D. Ginsbourger, O. Roustant (2015) <doi:10.1016/j.ejor.2014.07.032>, among others.
Author: Manuel Lopez-Ibanez [aut, cre] , Carlos Fonseca [ctb], Luis Paquete [ctb], Andreia P. Guerreiro [ctb], Mickael Binois [ctb], Michael H. Buselli [cph] , Wessel Dankers [cph] , NumPy Developers [cph] , Jean-Sebastien Roy [cph] , Makoto Matsumoto [cph] [...truncated...]
Maintainer: Manuel Lopez-Ibanez <manuel.lopez-ibanez@manchester.ac.uk>

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Package ggrefine updated to version 0.4.0 with previous version 0.3.0 dated 2026-04-29

Title: Publication-Quality 'ggplot2' Themes
Description: Complete themes for publication-quality 'ggplot2' visualisation. Also provides functions to modify these based on the positional axis scales and focus of a particular plot.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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Package aggreCAT updated to version 1.1.0 with previous version 1.0.0 dated 2025-05-28

Title: Mathematically Aggregating Expert Judgments
Description: The use of structured elicitation to inform decision making has grown dramatically in recent decades, however, judgements from multiple experts must be aggregated into a single estimate. Empirical evidence suggests that mathematical aggregation provides more reliable estimates than enforcing behavioural consensus on group estimates. 'aggreCAT' provides state-of-the-art mathematical aggregation methods for elicitation data including those defined in Hanea, A. et al. (2021) <doi:10.1371/journal.pone.0256919>. The package also provides functions to visualise and evaluate the performance of your aggregated estimates on validation data.
Author: David Wilkinson [aut, cre] , Elliot Gould [aut] , Aaron Willcox [aut] , Charles T. Gray [aut], Rose E. O'Dea [aut] , Rebecca Groenewegen [aut]
Maintainer: David Wilkinson <david.wilkinson.research@gmail.com>

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Package spatialrisk updated to version 0.8.0 with previous version 0.7.3 dated 2025-09-14

Title: Spatial Concentration and Radius-Based Risk Calculations
Description: Provides methods for spatial concentration and radius-based risk calculations. The package focuses on efficient determination of the sum of observations within a given radius, identifying local concentration hotspots, and aggregating point data to polygon geometries. These methods are useful for applications such as insurance, urban analytics, environmental exposure analysis, and other spatial point pattern workflows. The underlying maximum covering problem is described by Church (1974) <doi:10.1007/BF01942293>.
Author: Martin Haringa [aut, cre]
Maintainer: Martin Haringa <mtharinga@gmail.com>

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Package partsm updated to version 1.1-5 with previous version 1.1-4 dated 2025-04-21

Title: Periodic Autoregressive Time Series Models
Description: Basic functions to fit and predict periodic autoregressive time series models. These models are discussed in the book P.H. Franses (1996) "Periodicity and Stochastic Trends in Economic Time Series", Oxford University Press. Data set analyzed in that book is also provided. NOTE: the package was orphaned during several years. It is now only maintained, but no major enhancements are expected, and the maintainer cannot provide any support.
Author: Javier Lopez-de-Lacalle [aut, cph], Matthieu Stigler [cre]
Maintainer: Matthieu Stigler <Matthieu.Stigler@gmail.com>

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Package netgwas readmission to version 1.14.5 with previous version 1.14.4 dated 2025-11-10

Title: Network-Based Genome Wide Association Studies
Description: A multi-core R package that contains a set of tools based on copula graphical models for accomplishing the three interrelated goals in genetics and genomics in an unified way: (1) linkage map construction, (2) constructing linkage disequilibrium networks, and (3) exploring high-dimensional genotype-phenotype network and genotype- phenotype-environment interactions networks. The 'netgwas' package can deal with biparental inbreeding and outbreeding species with any ploidy level, namely diploid (2 sets of chromosomes), triploid (3 sets of chromosomes), tetraploid (4 sets of chromosomes) and so on. We target on high-dimensional data where number of variables p is considerably larger than number of sample sizes (p >> n). The computations is memory-optimized using the sparse matrix output. The 'netgwas' implements the methodological developments in Behrouzi and Wit (2017) <doi:10.1111/rssc.12287> and Behrouzi and Wit (2017) <doi:10.1093/bioinformatics/bty777>.
Author: Pariya Behrouzi [aut, cre] , Ernst C. Wit [ctb]
Maintainer: Pariya Behrouzi <pariya.behrouzi@gmail.com>

This is a re-admission after prior archival of version 1.14.4 dated 2025-11-10

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Package JLPM updated to version 1.0.4 with previous version 1.0.3 dated 2026-04-27

Title: Joint Latent Process Models
Description: Estimation of extended joint models with shared random effects. Longitudinal data are handled in latent process models for continuous (Gaussian or curvilinear) and ordinal outcomes while proportional hazard models are used for the survival part. We propose a frequentist approach using maximum likelihood estimation. See Saulnier et al, 2022 <doi:10.1016/j.ymeth.2022.03.003>.
Author: Viviane Philipps [aut, cre], Tiphaine Saulnier [aut], Cecile Proust-Lima [aut]
Maintainer: Viviane Philipps <Viviane.Philipps@u-bordeaux.fr>

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Package greatR readmission to version 2.1.0 with previous version 2.0.0 dated 2024-04-09

Title: Gene Registration from Expression and Time-Courses in R
Description: A tool for registering (aligning) gene expression profiles between reference and query data.
Author: Ruth Kristianingsih [aut, cre]
Maintainer: Ruth Kristianingsih <ruth.kristianingsih30@gmail.com>

This is a re-admission after prior archival of version 2.0.0 dated 2024-04-09

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Package ggscribe updated to version 0.1.1 with previous version 0.1.0 dated 2026-05-02

Title: Publication-Quality 'ggplot2' Annotation
Description: Annotation helper functions for publication-quality 'ggplot2' visualisation. These functions make it easier to annotate plots in a way that stays consistent with the set theme.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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Package subselect updated to version 0.16.1 with previous version 0.16.0 dated 2025-03-31

Title: Selecting Variable Subsets
Description: A collection of functions which (i) assess the quality of variable subsets as surrogates for a full data set, in either an exploratory data analysis or in the context of a multivariate linear model, and (ii) search for subsets which are optimal under various criteria. Theoretical support for the heuristic search methods and exploratory data analysis criteria is in Cadima, Cerdeira, Minhoto (2003, <doi:10.1016/j.csda.2003.11.001>). Theoretical support for the leap and bounds algorithm and the criteria for the general multivariate linear model is in Duarte Silva (2001, <doi:10.1006/jmva.2000.1920>). There is a package vignette "subselect", which includes additional references.
Author: Jorge Orestes Cerdeira [aut], Pedro Duarte Silva [aut, cre], Jorge Cadima [aut], Manuel Minhoto [aut]
Maintainer: Pedro Duarte Silva <psilva@ucp.pt>

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Package liver updated to version 1.29 with previous version 1.28 dated 2026-04-07

Title: Toolkit and Datasets for Data Science
Description: Provides a collection of helper functions and illustrative datasets to support learning and teaching of data science with R. The package is designed as a companion to the book <https://book-data-science-r.netlify.app>, making key data science techniques accessible to individuals with minimal coding experience. Functions include tools for data partitioning, performance evaluation, and data transformations (e.g., z-score and min-max scaling). The included datasets are curated to highlight practical applications in data exploration, modeling, and multivariate analysis. An early inspiration for the package came from an ancient Persian idiom about "eating the liver", symbolizing deep and immersive engagement with knowledge.
Author: Reza Mohammadi [aut, cre] , Jeroen van Raak [aut] , Kevin Burke [aut]
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>

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Package SuperSurv updated to version 0.1.2 with previous version 0.1.1 dated 2026-03-26

Title: A Unified Framework for Machine Learning Ensembles in Survival Analysis
Description: Implements a Super Learner framework for right-censored survival data. The package fits convex combinations of parametric, semiparametric, and machine learning survival learners by minimizing cross-validated risk using inverse probability of censoring weighting (IPCW). It provides tools for automated hyperparameter grid search, high-dimensional variable screening, and evaluation of prediction performance using metrics such as the Brier score, Uno's C-index, and time-dependent area under the curve (AUC). Additional utilities support model interpretation for survival ensembles, including Shapley additive explanations (SHAP), and estimation of covariate-adjusted restricted mean survival time (RMST) contrasts. The methodology is related to treatment-specific survival curve estimation using machine learning described by Westling et al. (2024) <doi:10.1080/01621459.2023.2205060>, and the unified ensemble framework described in Lyu et al. (2026) <doi:10.64898/2026.03.11.711010>.
Author: Yue Lyu [aut, cre]
Maintainer: Yue Lyu <yuelyu0521@gmail.com>

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Package rjd3bench updated to version 3.1.2 with previous version 3.1.1 dated 2026-03-29

Title: Temporal Disaggregation and Benchmarking in 'JDemetra+' 3.x
Description: Interface to 'JDemetra+' 3.x (<https://github.com/jdemetra>) time series analysis software. It provides a variety of methods for temporal disaggregation & interpolation, benchmarking, reconciliation and calendarization. It incorporates statistical methods described in the latest European Statistical System (ESS) guidelines on temporal disaggregation, benchmarking, and reconciliation (2018 edition). The package implements highly efficient algorithms for fast and reliable computation.
Author: Jean Palate [aut], Corentin Lemasson [aut, cre], Tanguy Barthelemy [ctb, art], Nikolina Rizanovska [ctb]
Maintainer: Corentin Lemasson <corentin.lemasson@nbb.be>

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Package UComp updated to version 5.3.1 with previous version 5.2 dated 2026-04-24

Title: Automatic Univariate Time Series Modelling of many Kinds
Description: Comprehensive analysis and forecasting of univariate time series using automatic time series models of many kinds. Harvey AC (1989) <doi:10.1017/CBO9781107049994>. Pedregal DJ and Young PC (2002) <doi:10.1002/9780470996430>. Durbin J and Koopman SJ (2012) <doi:10.1093/acprof:oso/9780199641178.001.0001>. Hyndman RJ, Koehler AB, Ord JK, and Snyder RD (2008) <doi:10.1007/978-3-540-71918-2>. Gómez V, Maravall A (2000) <doi:10.1002/9781118032978>. Pedregal DJ, Trapero JR and Holgado E (2024) <doi:10.1016/j.ijforecast.2023.09.004>.
Author: Diego J. Pedregal [aut, cre]
Maintainer: Diego J. Pedregal <diego.pedregal@uclm.es>

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Package lsirm12pl updated to version 2.0.1 with previous version 2.0.0 dated 2026-02-04

Title: Latent Space Item Response Model
Description: Analysis of dichotomous, ordinal, and continuous response data using latent space item response model ('LSIRM'). Provides 1PL and 2PL 'LSIRM' for binary response data as described in Jeon et al. (2021) <doi:10.1007/s11336-021-09762-5>, graded response models ('GRM') for ordinal data (De Carolis et al., 2025, <doi:10.1080/00273171.2025.2605678>), and extensions for continuous response data. Supports Bayesian model selection with spike-and-slab priors, adaptive MCMC algorithms, and methods for handling missing data under missing at random ('MAR') and missing completely at random ('MCAR') assumptions. Provides various diagnostic plots to inspect the latent space and summaries of estimated parameters.
Author: Dongyoung Go [aut], Gwanghee Kim [aut, cre], Jina Park [aut], Ickhoon Jin [ctb], Minjeong Jeon [ctb]
Maintainer: Gwanghee Kim <musagh08@yonsei.ac.kr>

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Package tidycensuskr updated to version 0.2.8 with previous version 0.2.7 dated 2026-01-08

Title: Easy Access for South Korea Census Data and Boundaries
Description: Census and administrative data in South Korea are a basic source of quantitative and mixed-methods research for social and urban scientists. This package provides a 'sf' (Pebesma et al., 2024 <doi:10.32614/CRAN.package.sf>) based standardized workflow based on direct open API access to the major census and administrative data sources and pre-generated files in South Korea.
Author: Insang Song [aut, cre] , Sohyun Park [aut, ctb] , Hyesop Shin [aut, ctb]
Maintainer: Insang Song <geoissong@snu.ac.kr>

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Package qs2 updated to version 0.2.1 with previous version 0.2.0 dated 2026-04-22

Title: Efficient Serialization of R Objects
Description: Streamlines and accelerates the process of saving and loading R objects, improving speed and compression compared to other methods. The package provides two compression formats: the 'qs2' format, which uses R serialization via the C API while optimizing compression and disk I/O, and the 'qdata' format, featuring custom serialization for slightly faster performance and better compression. Additionally, the 'qs2' format can be directly converted to the standard 'RDS' format, ensuring long-term compatibility with future versions of R.
Author: Travers Ching [aut, cre, cph], Yann Collet [ctb, cph] , Facebook, Inc. [cph] , Reichardt Tino [ctb, cph] , Skibinski Przemyslaw [ctb, cph] , Mori Yuta [ctb, cph] , Francesc Alted [ctb, cph]
Maintainer: Travers Ching <traversc@gmail.com>

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Package EBMAforecast readmission to version 1.0.33 with previous version 1.0.32 dated 2024-03-20

Title: Estimate Ensemble Bayesian Model Averaging Forecasts using Gibbs Sampling or EM-Algorithms
Description: Create forecasts from multiple predictions using ensemble Bayesian model averaging (EBMA). EBMA models can be estimated using an expectation maximization (EM) algorithm or as fully Bayesian models via Gibbs sampling. The methods in this package are Montgomery, Hollenbach, and Ward (2015) <doi:10.1016/j.ijforecast.2014.08.001> and Montgomery, Hollenbach, and Ward (2012) <doi:10.1093/pan/mps002>.
Author: Florian M. Hollenbach [aut, cre] , Jacob M. Montgomery [aut], Michael D. Ward [aut]
Maintainer: Florian M. Hollenbach <fho.egb@cbs.dk>

This is a re-admission after prior archival of version 1.0.32 dated 2024-03-20

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Package spicy updated to version 0.11.0 with previous version 0.10.0 dated 2026-04-27

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 simulateDCE readmission to version 0.3.2 with previous version 0.3.1 dated 2025-07-26

Title: Simulate Data for Discrete Choice Experiments
Description: Supports simulating choice experiment data for given designs. It helps to quickly test different designs against each other and compare the performance of new models. The goal of 'simulateDCE' is to make it easy to simulate choice experiment datasets using designs from 'NGENE', 'idefix' or 'spdesign'. You have to store the design file(s) in a sub-directory and need to specify certain parameters and the utility functions for the data generating process. For more details on choice experiments see Mariel et al. (2021) <doi:10.1007/978-3-030-62669-3>.
Author: Julian Sagebiel [aut, cre]
Maintainer: Julian Sagebiel <julian.sagebiel@idiv.de>

This is a re-admission after prior archival of version 0.3.1 dated 2025-07-26

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Package qshap updated to version 1.0.1 with previous version 1.0 dated 2026-03-16

Title: Fast Calculation of Feature Contributions in Boosting Trees
Description: Computes feature-specific R-squared (R2) contributions for boosting tree models using a Shapley-value-based decomposition of the total R-squared in polynomial time. Supports models fitted with 'XGBoost', 'LightGBM', and 'CatBoost', with optimized backend-specific implementations and cached tree summaries suitable for large-scale problems. Multiple visualization tools are included for interpreting and communicating feature contributions. The methodology is described in Jiang, Zhang, and Zhang (2025) <doi:10.48550/arXiv.2407.03515>. Optional 'CatBoost' support uses the R package 'catboost', which is not distributed on CRAN; installation instructions and released binaries are provided by the CatBoost project at <https://catboost.ai/docs/en/concepts/r-installation>.
Author: Steven He [aut], Zhongli Jiang [aut, cre], Dabao Zhang [aut]
Maintainer: Zhongli Jiang <zhongli.jiang.stats@gmail.com>

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Package exdqlm updated to version 0.4.0 with previous version 0.3.0 dated 2026-02-07

Title: Extended Dynamic Quantile Linear Models
Description: Bayesian quantile-regression routines for dynamic state-space models and static regression under the extended asymmetric Laplace (exAL) error distribution. The dynamic state-space models are extended dynamic quantile linear models (exDQLMs). The package combines dynamic exDQLM inference via LDVB, MCMC, and legacy ISVB with static exAL regression via LDVB and MCMC, reduced AL/DQLM paths through fixed skewness, component builders for trend/seasonality/regression blocks, static shrinkage priors including ridge, regularized horseshoe, and 'rhs_ns', evidence lower bound diagnostics, optional C++ accelerators, and posterior predictive synthesis across separately fitted quantiles through 'quantileSynthesis()'. Dynamic exDQLM methods are described in Barata et al. (2020) <doi:10.1214/21-AOAS1497>.
Author: Raquel Barata [aut, cre], Raquel Prado [ths], Bruno Sanso [ths], Antonio Aguirre [aut]
Maintainer: Raquel Barata <raquel.a.barata@gmail.com>

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Package detzrcr updated to version 0.3.3 with previous version 0.3.2 dated 2026-04-22

Title: Compare Detrital Zircon Suites
Description: Compare detrital zircon suites by uploading univariate, U-Pb age, or bivariate, U-Pb age and Lu-Hf data, in a 'shiny'-based user-interface. Outputs publication quality figures using 'ggplot2', and tables of statistics currently in use in the detrital zircon geochronology community.
Author: Magnus Kristoffersen [aut, cre]
Maintainer: Magnus Kristoffersen <magnus.kristoffersen@geo.uio.no>

Diff between detzrcr versions 0.3.2 dated 2026-04-22 and 0.3.3 dated 2026-05-04

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Package spData updated to version 2.3.5 with previous version 2.3.4 dated 2025-01-08

Title: Datasets for Spatial Analysis
Description: Diverse spatial datasets for demonstrating, benchmarking and teaching spatial data analysis. It includes R data of class sf (defined by the package 'sf'), Spatial ('sp'), and nb ('spdep'). Unlike other spatial data packages such as 'rnaturalearth' and 'maps', it also contains data stored in a range of file formats including GeoJSON and GeoPackage, but from version 2.3.4, no longer ESRI Shapefile - use GeoPackage instead. Some of the datasets are designed to illustrate specific analysis techniques. cycle_hire() and cycle_hire_osm(), for example, is designed to illustrate point pattern analysis techniques.
Author: Roger Bivand [aut] , Jakub Nowosad [aut, cre] , Robin Lovelace [aut] , Angelos Mimis [ctb], Mark Monmonier [ctb] , Greg Snow [ctb]
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>

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Package jumble updated to version 0.1.1 with previous version 0.1.0 dated 2026-03-16

Title: A Discrete Colour Palette
Description: A discrete colour palette. These colours make it easier to create relatively accessible and colour-blind safe visualisation.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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Package igraph updated to version 2.3.1 with previous version 2.3.0 dated 2026-04-21

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

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Package glmnet updated to version 5.0 with previous version 4.1-10 dated 2025-07-17

Title: Lasso and Elastic-Net Regularized Generalized Linear Models
Description: Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression, Cox model, multiple-response Gaussian, and the grouped multinomial regression; see <doi:10.18637/jss.v033.i01> and <doi:10.18637/jss.v039.i05>. There are two new and important additions. The family argument can be a GLM family object, which opens the door to any programmed family (<doi:10.18637/jss.v106.i01>). This comes with a modest computational cost, so when the built-in families suffice, they should be used instead. The other novelty is the relax option, which refits each of the active sets in the path unpenalized. The algorithm uses cyclical coordinate descent in a path-wise fashion, as described in the papers cited.
Author: Jerome Friedman [aut], Trevor Hastie [aut, cre], Rob Tibshirani [aut], Balasubramanian Narasimhan [aut], Kenneth Tay [aut], Noah Simon [aut], Junyang Qian [ctb], James Yang [aut], Jonathan Taylor [aut]
Maintainer: Trevor Hastie <hastie@stanford.edu>

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Package gdalraster updated to version 2.6.0 with previous version 2.5.0 dated 2026-03-25

Title: Bindings to 'GDAL'
Description: API bindings to the Geospatial Data Abstraction Library ('GDAL', <https://gdal.org>). Implements the 'GDAL' Raster and Vector Data Models. Bindings are implemented with 'Rcpp' modules. Exposed C++ classes and stand-alone functions wrap much of the 'GDAL' API and provide additional functionality. Calling signatures resemble the native C, C++ and Python APIs provided by the 'GDAL' project. Class 'GDALRaster' encapsulates a 'GDALDataset' and its raster band objects. Class 'GDALVector' encapsulates an 'OGRLayer' and the 'GDALDataset' that contains it. Initial bindings are provided to the unified 'gdal' command line interface added in 'GDAL' 3.11. C++ stand-alone functions provide bindings to most 'GDAL' "traditional" raster and vector utilities, including 'OGR' facilities for vector geoprocessing, several algorithms, as well as the Geometry API ('GEOS' via 'GDAL' headers), the Spatial Reference Systems API, and methods for coordinate transformation. Bindings to the Virtual Systems In [...truncated...]
Author: Chris Toney [aut, cre] , Michael D. Sumner [aut] , Pepijn de Vries [ctb] , Frank Warmerdam [ctb, cph] , Even Rouault [ctb, cph] , Marius Appel [ctb, cph] , Daniel James [ctb, cph] , Peter Dimov [ctb, cph]
Maintainer: Chris Toney <jctoney@gmail.com>

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Package fixest updated to version 0.14.1 with previous version 0.14.0 dated 2026-03-18

Title: Fast Fixed-Effects Estimations
Description: Fast and user-friendly estimation of econometric models with multiple fixed-effects. Includes ordinary least squares (OLS), instrumental variables (IV), generalized linear models (GLM), maximum likelihood estimation (ML), and the negative binomial. The core of the package is based on optimized parallel C++ code, scaling especially well for large data sets. The method to obtain the fixed-effects coefficients is based on Bergé, Butts, McDermott (2026) <doi:10.48550/arXiv.2601.21749>. Further provides tools to export and view the results of several estimations with intuitive design to change the standard-errors.
Author: Laurent Berge [aut, cre], Sebastian Krantz [ctb], Grant McDermott [ctb] , Russell Lenth [ctb], Kyle Butts [ctb]
Maintainer: Laurent Berge <laurent.berge@u-bordeaux.fr>

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Package exactRankTests updated to version 0.8-37 with previous version 0.8-36 dated 2026-03-09

Title: Exact Distributions for Rank and Permutation Tests
Description: Computes exact conditional p-values and quantiles using an implementation of the Shift-Algorithm by Streitberg & Roehmel.
Author: Torsten Hothorn [aut, cre], Kurt Hornik [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package clubSandwich updated to version 0.7.0 with previous version 0.6.2 dated 2026-02-02

Title: Cluster-Robust (Sandwich) Variance Estimators with Small-Sample Corrections
Description: Provides several cluster-robust variance estimators (i.e., sandwich estimators) for ordinary and weighted least squares linear regression models, including the bias-reduced linearization estimator introduced by Bell and McCaffrey (2002) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2002002/article/9058-eng.pdf> and developed further by Pustejovsky and Tipton (2017) <DOI:10.1080/07350015.2016.1247004>. The package includes functions for estimating the variance- covariance matrix and for testing single- and multiple- contrast hypotheses based on Wald test statistics. Tests of single regression coefficients use Satterthwaite or saddle-point corrections. Tests of multiple- contrast hypotheses use an approximation to Hotelling's T-squared distribution. Methods are provided for a variety of fitted models, including lm() and mlm objects; glm(); geeglm() (from package 'geepack'); lm_robust(), lm_lin(), and iv_robust() (from package 'estimatr'); ivreg() (from package 'AER'); ivreg() [...truncated...]
Author: James E. Pustejovsky [aut, cre] , Hazim Izani [ctb], Samuel Pekofsky [ctb], Jingru Zhang [ctb]
Maintainer: James E. Pustejovsky <jepusto@gmail.com>

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Package blends updated to version 0.1.1 with previous version 0.1.0 dated 2026-03-25

Title: Blend Colours and Palettes
Description: Colour blend functions. These functions make it easier to blend colours and palettes using digital blend modes such as multiply, screen, and overlay.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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Package bartMachine updated to version 1.4.2 with previous version 1.4.1.1 dated 2026-01-20

Title: Bayesian Additive Regression Trees
Description: An advanced implementation of Bayesian Additive Regression Trees with expanded features for data analysis and visualization.
Author: Adam Kapelner [aut, cre] , Justin Bleich [aut]
Maintainer: Adam Kapelner <kapelner@qc.cuny.edu>

Diff between bartMachine versions 1.4.1.1 dated 2026-01-20 and 1.4.2 dated 2026-05-04

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Package remify updated to version 4.0.0 with previous version 3.2.9 dated 2025-09-26

Title: Processing and Transforming Relational Event History Data
Description: Efficiently processes relational event history data and transforms them into formats suitable for other packages. The primary objective of this package is to convert event history data into a format that integrates with the packages in 'remverse' and is compatible with various analytical tools (e.g., computing network statistics, estimating tie-oriented or actor-oriented social network models). Second, it can also transform the data into formats compatible with other packages out of 'remverse'. The package processes the data for two types of temporal social network models: tie-oriented modeling framework (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>) and actor-oriented modeling framework (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>).
Author: Giuseppe Arena [aut, cre] , Joris Mulder [aut], Rumana Lakdawala [ctb], Marlyne Meijerink-Bosman [ctb], Diana Karimova [ctb], Fabio Generoso Vieira [ctb], Mahdi Shafiee Kamalabad [ctb], Roger Leenders [ctb]
Maintainer: Giuseppe Arena <g.arena@uva.nl>

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Package hmde updated to version 1.4.0 with previous version 1.3.1 dated 2025-12-22

Title: Hierarchical Methods for Differential Equations
Description: Wrapper for 'Stan' that offers a number of in-built models to implement a hierarchical Bayesian longitudinal model for repeat observation data. Model choice selects the differential equation that is fit to the observations. Single and multi-individual models are available. O'Brien et al. (2024) <doi:10.1111/2041-210X.14463>.
Author: Daniel Falster [aut, ctb] , Tess O'Brien [aut, cre, cph] , Fonti Kar [ctb] , David Warton [aut, ctb]
Maintainer: Tess O'Brien <tess_obrien@fastmail.com>

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Package akin updated to version 0.3.2 with previous version 0.3.1 dated 2026-04-26

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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Sun, 03 May 2026

Package ggwidth updated to version 0.1.1 with previous version 0.1.0 dated 2026-03-06

Title: Publication-Quality 'ggplot2' Geom Width
Description: Width helper functions for publication-quality 'ggplot2' visualisation. These functions make it easier to create geoms such as bars that have a consistent width appearance across plots.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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Package rmoo updated to version 0.3.2 with previous version 0.2.0 dated 2022-09-23

Title: Multi-Objective Optimization in R
Description: The 'rmoo' package is a framework for multi- and many-objective optimization, which allows researchers and users versatility in parameter configuration, as well as tools for analysis, replication and visualization of results. The 'rmoo' package was built as a fork of the 'GA' package by Luca Scrucca(2017) <DOI:10.32614/RJ-2017-008> and implementing the Non-Dominated Sorting Genetic Algorithms proposed by K. Deb's.
Author: Francisco Benitez [aut, cre], Diego P. Pinto-Roa [aut]
Maintainer: Francisco Benitez <benitezfj94@gmail.com>

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Package argosfilter updated to version 0.71 with previous version 0.70 dated 2022-09-13

Title: Argos Locations Filter
Description: Filters animal satellite tracking data obtained from the Argos system(<https://www.argos-system.org/>), following the algorithm described in Freitas et al (2008) <doi:10.1111/j.1748-7692.2007.00180.x>. It is especially indicated for telemetry studies of marine animals, where Argos locations are predominantly of low-quality.
Author: Carla Freitas [aut, cre]
Maintainer: Carla Freitas <carla.freitas.brandt@hi.no>

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Package RcmdrPlugin.UCA updated to version 5.1-4 with previous version 5.1-3 dated 2026-04-13

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>

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Package QuadratiK updated to version 1.2.0 with previous version 1.1.3 dated 2025-02-04

Title: Collection of Methods Constructed using Kernel-Based Quadratic Distances
Description: It includes test for multivariate normality, test for uniformity on the d-dimensional Sphere, non-parametric two- and k-sample tests, random generation of points from the Poisson kernel-based density and clustering algorithm for spherical data. For more information see Saraceno G., Markatou M., Mukhopadhyay R. and Golzy M. (2024) <doi:10.48550/arXiv.2402.02290> Markatou, M. and Saraceno, G. (2024) <doi:10.48550/arXiv.2407.16374>, Ding, Y., Markatou, M. and Saraceno, G. (2023) <doi:10.5705/ss.202022.0347>, and Golzy, M. and Markatou, M. (2020) <doi:10.1080/10618600.2020.1740713>.
Author: Giovanni Saraceno [aut, cre] , Marianthi Markatou [aut], Raktim Mukhopadhyay [aut], Mojgan Golzy [aut], Hingee Kassel [rev], Emi Tanaka [rev]
Maintainer: Giovanni Saraceno <giovanni.saraceno@unipd.it>

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Package ModStatR updated to version 1.4.2 with previous version 1.4.1 dated 2025-09-12

Title: Statistical Modelling in Action with R
Description: Datasets and functions for the book "Modélisation statistique par la pratique avec R", F. Bertrand, E. Claeys and M. Maumy-Bertrand (2019, ISBN:9782100793525, Dunod, Paris). The first chapter of the book is dedicated to an introduction to the R statistical software. The second chapter deals with correlation analysis: Pearson, Spearman and Kendall simple, multiple and partial correlation coefficients. New wrapper functions for permutation tests or bootstrap of matrices of correlation are provided with the package. The third chapter is dedicated to data exploration with factorial analyses (PCA, CA, MCA, MDA) and clustering. The fourth chapter is dedicated to regression analysis: fitting and model diagnostics are detailed. The exercises focus on covariance analysis, logistic regression, Poisson regression, two-way analysis of variance for fixed or random factors. Various example datasets are shipped with the package: for instance on pokemon, world of warcraft, house tasks or food nutritio [...truncated...]
Author: Frederic Bertrand [cre, aut] , Emmanuelle Claeys [aut], Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

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Package minter updated to version 0.1.1 with previous version 0.1.0 dated 2025-10-06

Title: Effect Sizes for Meta-Analysis of Interactions from Factorial Experiments
Description: Compute effect sizes and their sampling variances from factorial experimental designs. The package supports calculation of simple effects, overall effects, and interaction effects for use in factorial meta-analyses. See Gurevitch et al. (2000) <doi:10.1086/303337>, Morris et al. (2007) <doi:10.1890/06-0442>, Lajeunesse (2011) <doi:10.1890/11-0423.1> and Macartney et al. (2022) <doi:10.1016/j.neubiorev.2022.104554>.
Author: Facundo Decunta [aut, cre] , Shinichi Nakagawa [ctb], Daniel Noble [ctb]
Maintainer: Facundo Decunta <fdecunta@agro.uba.ar>

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Package savvyGLM updated to version 0.1.3 with previous version 0.1.2 dated 2026-05-03

Title: Generalized Linear Models with Slab and Shrinkage Estimators
Description: Provides a flexible framework for fitting generalized linear models (GLMs) with slab and shrinkage estimators. Methods include the Stein estimator (St), Diagonal Shrinkage (DSh), Simple Slab Regression (SR), Generalized Slab Regression (GSR), Ledoit-Wolf Linear Shrinkage (LW), Quadratic-Inverse Shrinkage (QIS), and Shrinkage (Sh), all integrated into the iteratively reweighted least squares (IRLS) algorithm. This approach enhances estimation accuracy, convergence, and robustness in the presence of multicollinearity. The best-fitting model is selected based on the Akaike Information Criterion (AIC). Methods are related to methods described in Marschner (2011) <doi:10.32614/RJ-2011-012>, Asimit et al. (2025) <https://openaccess.city.ac.uk/id/eprint/35005/>, Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4>, and Ledoit and Wolf (2022) <doi:10.3150/20-BEJ1315>.
Author: Ziwei Chen [aut, cre] , Vali Asimit [aut] , Claudio Senatore [aut]
Maintainer: Ziwei Chen <Ziwei.Chen.3@citystgeorges.ac.uk>

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Package FAfA updated to version 1.1 with previous version 1.0 dated 2026-04-29

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

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Package colleyRstats updated to version 0.0.4 with previous version 0.0.3 dated 2026-04-25

Title: Functions to Streamline Statistical Analysis and Reporting
Description: Built upon popular R packages such as 'ggstatsplot' and 'ARTool', this collection offers a wide array of tools for simplifying reproducible analyses, generating high-quality visualizations, and producing 'APA'-compliant outputs. The primary goal of this package is to significantly reduce repetitive coding efforts, allowing you to focus on interpreting results. Whether you're dealing with ANOVA assumptions, reporting effect sizes, or creating publication-ready visualizations, this package makes these tasks easier.
Author: Mark Colley [aut, cre, cph]
Maintainer: Mark Colley <mark.colley@yahoo.de>

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Package CharAnalysis updated to version 2.0.3 with previous version 2.0.2 dated 2026-04-28

Title: Peak Detection and Fire History from Sediment-Charcoal Records
Description: A program for reconstructing local fire histories from high-resolution, continuously sampled lake-sediment charcoal records. 'CharAnalysis' decomposes a charcoal record into low- and high-frequency components and uses locally defined thresholds to separate fire signal from noise, following the approach of Higuera et al. (2009) <doi:10.1890/07-2019.1>, with underlying assumptions and rationale described in Higuera et al. (2010) <doi:10.1071/WF09134>. The package is designed for macroscopic charcoal records with contiguous sampling fine enough to resolve individual fire events, and is not appropriate for low-resolution or discontinuously sampled records. See the package URL for the User's Guide and application examples.
Author: Philip Higuera [aut, cre]
Maintainer: Philip Higuera <philip.higuera@umontana.edu>

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Package BEKKs updated to version 1.4.7 with previous version 1.4.6 dated 2025-12-07

Title: Multivariate Conditional Volatility Modelling and Forecasting
Description: Methods and tools for estimating, simulating and forecasting of so-called BEKK-models (named after Baba, Engle, Kraft and Kroner) based on the fast Berndt–Hall–Hall–Hausman (BHHH) algorithm described in Hafner and Herwartz (2008) <doi:10.1007/s00184-007-0130-y>. For an overview, we refer the reader to Fülle et al. (2024) <doi:10.18637/jss.v111.i04>.
Author: Markus J. Fuelle [aut, cre], Alexander Lange [aut], Christian M. Hafner [aut], Helmut Herwartz [aut]
Maintainer: Markus J. Fuelle <markus.fuelle@gmail.com>

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Package adoptr updated to version 1.1.2 with previous version 1.1.1 dated 2024-10-02

Title: Adaptive Optimal Two-Stage Designs
Description: Optimize one or two-arm, two-stage designs for clinical trials with respect to several implemented objective criteria or custom objectives. Optimization under uncertainty and conditional (given stage-one outcome) constraints are supported. See Pilz et al. (2019) <doi:10.1002/sim.8291> and Kunzmann et al. (2021) <doi:10.18637/jss.v098.i09> for details.
Author: Kevin Kunzmann [aut, cph] , Maximilian Pilz [aut, cre] , Jan Meis [aut] , Nico Bruder [aut]
Maintainer: Maximilian Pilz <maximilian.pilz@th-nuernberg.de>

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Package savvyGLM updated to version 0.1.2 with previous version 0.1.1 dated 2026-05-02

Title: Generalized Linear Models with Slab and Shrinkage Estimators
Description: Provides a flexible framework for fitting generalized linear models (GLMs) with slab and shrinkage estimators. Methods include the Stein estimator (St), Diagonal Shrinkage (DSh), Simple Slab Regression (SR), Generalized Slab Regression (GSR), Ledoit-Wolf Linear Shrinkage (LW), Quadratic-Inverse Shrinkage (QIS), and Shrinkage (Sh), all integrated into the iteratively reweighted least squares (IRLS) algorithm. This approach enhances estimation accuracy, convergence, and robustness in the presence of multicollinearity. The best-fitting model is selected based on the Akaike Information Criterion (AIC). Methods are related to methods described in Marschner (2011) <doi:10.32614/RJ-2011-012>, Asimit et al. (2025) <https://openaccess.city.ac.uk/id/eprint/35005/>, Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4>, and Ledoit and Wolf (2022) <doi:10.3150/20-BEJ1315>.
Author: Ziwei Chen [aut, cre] , Vali Asimit [aut] , Claudio Senatore [aut]
Maintainer: Ziwei Chen <Ziwei.Chen.3@citystgeorges.ac.uk>

Diff between savvyGLM versions 0.1.1 dated 2026-05-02 and 0.1.2 dated 2026-05-03

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Package lwgeom updated to version 0.2-16 with previous version 0.2-15 dated 2026-01-12

Title: Bindings to Selected 'liblwgeom' Functions for Simple Features
Description: Access to selected functions found in 'liblwgeom' <https://github.com/postgis/postgis/tree/master/liblwgeom>, the light-weight geometry library used by 'PostGIS' <http://postgis.net/>.
Author: Edzer Pebesma [aut, cre] , Colin Rundel [ctb], Andy Teucher [ctb], liblwgeom developers [cph]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package worldbank updated to version 0.9.0 with previous version 0.8.0 dated 2026-03-15

Title: Client for the 'World Bank' APIs
Description: Download and search data from the 'World Bank' APIs, including the 'Indicators' API, the 'Poverty and Inequality Platform (PIP)' API, the 'Finances One' API, and the 'Projects' API. See <https://datahelpdesk.worldbank.org/knowledgebase/articles/889386-developer-information-overview> for further details.
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package resultcheck updated to version 0.2.0 with previous version 0.1.4 dated 2026-04-21

Title: Result Stability Checks for Empirical R Projects
Description: Lightweight helpers for checking whether empirical results remain substantively unchanged across code revisions, platform differences, and package updates. The package supports regression-style testing of derived datasets, statistical model outputs, tables, and plots, helping researchers detect unintended result drift early and distinguish material from non-material changes in empirical workflows.
Author: Dianyi Yang [aut, cre, ctb]
Maintainer: Dianyi Yang <dianyi.yang@politics.ox.ac.uk>

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Package mlr3fda updated to version 0.5.0 with previous version 0.4.0 dated 2026-03-30

Title: Extending 'mlr3' to Functional Data Analysis
Description: Extends the 'mlr3' ecosystem to functional analysis by adding support for irregular and regular functional data as defined in the 'tf' package. The package provides 'PipeOps' for preprocessing functional columns and for extracting scalar features, thereby allowing standard machine learning algorithms to be applied afterwards. Available operations include simple functional features such as the mean or maximum, smoothing, interpolation, flattening, and functional 'PCA'.
Author: Maximilian Muecke [aut, cre] , Sebastian Fischer [aut] , Fabian Scheipl [ctb] , Bernd Bischl [ctb]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package ibr updated to version 2.4-0 with previous version 2.0-5 dated 2025-09-12

Title: Iterative Bias Reduction
Description: Multivariate smoothing using iterative bias reduction with kernel, thin plate splines, Duchon splines or low rank splines.
Author: Pierre-Andre Cornillon [aut, cre], Nicolas Hengartner [aut], Eric Matzner-Lober [aut]
Maintainer: Pierre-Andre Cornillon <pierre-andre.cornillon@univ-rennes2.fr>

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Package SBOAtools updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-10

Title: Secretary Bird Optimization for Continuous Optimization and Neural Network Training
Description: Provides an implementation of Secretary Bird Optimization for general-purpose continuous optimization, benchmark optimization, and training single-hidden-layer feed-forward neural network models. The implemented optimizer is based on the Secretary Bird Optimization Algorithm proposed by Fu et al. (2024) <doi:10.1007/s10462-024-10729-y>. The neural network training functionality is based on Dilber and Özdemir (2026) <doi:10.1007/s00521-026-11874-x>.
Author: Burak Dilber [aut, cre, cph], A. Firat Oezdemir [aut, cph]
Maintainer: Burak Dilber <burakdilber91@gmail.com>

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Package Rcmdr updated to version 2.12.3 with previous version 2.12.2 dated 2026-04-11

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 orbitr updated to version 0.3.0 with previous version 0.2.0 dated 2026-04-21

Title: A Tidy Physics Engine for Building and Visualizing Orbital Simulations
Description: A lightweight, fully vectorized N-body physics engine built for the R ecosystem. Simulate and visualize complex orbital mechanics, celestial trajectories, and gravitational interactions using tidy data principles. Features multiple numerical integration methods, including the energy-conserving velocity Verlet algorithm (Verlet (1967) <doi:10.1103/PhysRev.159.98>), to ensure highly stable orbital propagation. Gravitational N-body methods follow Aarseth (2003, ISBN:0-521-43272-3).
Author: Dave Rosenman [aut, cre]
Maintainer: Dave Rosenman <dave.rosenman.data@gmail.com>

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Package moocore updated to version 0.3.0 with previous version 0.2.0 dated 2026-01-11

Title: Core Mathematical Functions for Multi-Objective Optimization
Description: Fast implementations of mathematical operations and performance metrics for multi-objective optimization, including filtering and ranking of dominated vectors according to Pareto optimality, hypervolume metric, C.M. Fonseca, L. Paquete, M. López-Ibáñez (2006) <doi:10.1109/CEC.2006.1688440>, epsilon indicator, inverted generational distance, computation of the empirical attainment function, V.G. da Fonseca, C.M. Fonseca, A.O. Hall (2001) <doi:10.1007/3-540-44719-9_15>, and Vorob'ev threshold, expectation and deviation, M. Binois, D. Ginsbourger, O. Roustant (2015) <doi:10.1016/j.ejor.2014.07.032>, among others.
Author: Manuel Lopez-Ibanez [aut, cre] , Carlos Fonseca [ctb], Luis Paquete [ctb], Andreia P. Guerreiro [ctb], Mickael Binois [ctb], Michael H. Buselli [cph] , Wessel Dankers [cph] , NumPy Developers [cph] , Jean-Sebastien Roy [cph] , Makoto Matsumoto [cph] [...truncated...]
Maintainer: Manuel Lopez-Ibanez <manuel.lopez-ibanez@manchester.ac.uk>

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Package dng updated to version 1.0.0 with previous version 0.2.1 dated 2018-06-27

Title: Distributions and Gradients
Description: Provides density, distribution function, quantile function and random generation for the split normal and split-t distributions, and computes their mean, variance, skewness and kurtosis for the two distributions (Li, F, Villani, M. and Kohn, R. (2010) <doi:10.1016/j.jspi.2010.04.031>).
Author: Feng Li [aut, cre] , Jiayue Zeng [aut]
Maintainer: Feng Li <feng.li@gsm.pku.edu.cn>

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Package ShortForm updated to version 0.5.7 with previous version 0.5.6 dated 2024-11-27

Title: Automatic Short Form Creation
Description: Performs automatic creation of short forms of scales with an ant colony optimization algorithm and a Tabu search. As implemented in the package, the ant colony algorithm randomly selects items to build a model of a specified length, then updates the probability of item selection according to the fit of the best model within each set of searches. The algorithm continues until the same items are selected by multiple ants a given number of times in a row. On the other hand, the Tabu search changes one parameter at a time to be either free, constrained, or fixed while keeping track of the changes made and putting changes that result in worse fit in a "tabu" list so that the algorithm does not revisit them for some number of searches. See Leite, Huang, & Marcoulides (2008) <doi:10.1080/00273170802285743> for an applied example of the ant colony algorithm, and Marcoulides & Falk (2018) <doi:10.1080/10705511.2017.1409074> for an applied example of the Tabu search.
Author: Anthony Raborn [aut, cre] , Walter Leite [aut]
Maintainer: Anthony Raborn <anthony.w.raborn@gmail.com>

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Package readapra updated to version 0.2.3 with previous version 0.2.2 dated 2026-03-22

Title: Download and Tidy Data from the Australian Prudential Regulation Authority
Description: Download the latest data from the Australian Prudential Regulation Authority <https://www.apra.gov.au/> and import it into R as a tidy data frame.
Author: Jarrod van der Wal [aut, cre, cph]
Maintainer: Jarrod van der Wal <jarvanderwal@gmail.com>

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Package HARplus updated to version 1.2.0 with previous version 1.1.2 dated 2025-10-20

Title: Enhanced R Package for 'GEMPACK' .har and .sl4 Files
Description: Provides tools for processing and analyzing .har and .sl4 files, making it easier for 'GEMPACK' users and 'GTAP' researchers to handle large economic datasets. It simplifies the management of multiple experiment results, enabling faster and more efficient comparisons without complexity. Users can extract, restructure, and merge data seamlessly, ensuring compatibility across different tools. The processed data can be exported and used in 'R', 'Stata', 'Python', 'Julia', or any software that supports Text, CSV, or 'Excel' formats.
Author: Pattawee Puangchit [aut, cre]
Maintainer: Pattawee Puangchit <ppuangch@purdue.edu>

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Sat, 02 May 2026

Package kerasnip updated to version 0.1.2 with previous version 0.1.0 dated 2025-12-06

Title: A Bridge Between 'keras' and 'tidymodels'
Description: Provides a seamless bridge between 'keras' and the 'tidymodels' frameworks. It allows for the dynamic creation of 'parsnip' model specifications for 'keras' models.
Author: David Diaz [aut, cph, cre]
Maintainer: David Diaz <daviddrsch@gmail.com>

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Package gutenbergr updated to version 0.5.1 with previous version 0.5.0 dated 2026-03-15

Title: Download and Process Public Domain Works from Project Gutenberg
Description: Download and process public domain works in the Project Gutenberg collection <https://www.gutenberg.org/>. Includes metadata for all Project Gutenberg works, so that they can be searched and retrieved.
Author: Jordan Bradford [aut, cre] , Jon Harmon [aut] , Myfanwy Johnston [aut], David Robinson [aut, cph]
Maintainer: Jordan Bradford <jrdnbradford@gmail.com>

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Package dHSIC updated to version 2.2 with previous version 2.1 dated 2019-01-04

Title: Independence Testing via Hilbert Schmidt Independence Criterion
Description: Contains an implementation of the d-variable Hilbert Schmidt independence criterion and several hypothesis tests based on it, as described in Pfister et al. (2018) <doi:10.1111/rssb.12235>.
Author: Niklas Pfister [aut, cre], Jonas Peters [aut]
Maintainer: Niklas Pfister <niklas.pfister@gmail.com>

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Package formatdown updated to version 0.2.0 with previous version 0.1.4 dated 2024-05-07

Title: Formatting Numbers in 'rmarkdown' Documents
Description: Provides a small set of tools for formatting numbers in R-markdown documents. Convert a numerical vector to character strings in power-of-ten form, decimal form, or measurement-units form; convert symbols for chemical isotopes from hyphenated form to nuclear form; all are math-delimited for rendering as inline equations. Can also convert text into math-delimited text to match the font face and size of math-delimited numbers. Useful for rendering single numbers in inline R code chunks and for rendering columns in tables.
Author: Richard Layton [aut, cre]
Maintainer: Richard Layton <graphdoctor@gmail.com>

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Package trendseries updated to version 1.2.0 with previous version 1.1.0 dated 2025-11-12

Title: Extract Trends from Time Series
Description: Extract trends from monthly and quarterly economic time series. Provides two main functions: augment_trends() for pipe-friendly 'tibble' workflows and extract_trends() for direct time series analysis. Includes established econometric filters such as Hodrick-Prescott (HP), Baxter-King, Christiano-Fitzgerald, and Hamilton, alongside moving averages and smoothing methods. Smart defaults are tuned for common economic frequencies following Ravn and Uhlig (2002) <doi:10.1162/003465302317411604>.
Author: Vinicius Oike [aut, cre, cph]
Maintainer: Vinicius Oike <viniciusoike@gmail.com>

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

Title: Scale Mixture of Normal Distribution in Linear Mixed-Effects Model
Description: Bayesian analysis of censored linear mixed-effects models that replace Gaussian assumptions with a flexible class of distributions, such as the scale mixture of normal family distributions, considering a damped exponential correlation structure which was employed to account for within-subject autocorrelation among irregularly observed measures. For more details, see Kelin Zhong, Fernanda L. Schumacher, Luis M. Castro, Victor H. Lachos (2025) <doi:10.1002/sim.10295>.
Author: Kelin Zhong [aut, cre], Fernanda L. Schumacher [aut], Luis M. Castro [aut], Victor H. Lachos [aut], Jalmar M.F. Carrasco [aut]
Maintainer: Kelin Zhong <kelinzhonguconn@gmail.com>

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Package grasps updated to version 0.1.1 with previous version 0.1.0 dated 2025-11-27

Title: Groupwise Regularized Adaptive Sparse Precision Solution
Description: Provides a unified framework for sparse-group regularization and precision matrix estimation in Gaussian graphical models. It implements multiple sparse-group penalties, including sparse-group lasso, sparse-group adaptive lasso, sparse-group SCAD, and sparse-group MCP, and solves them efficiently using ADMM-based optimization. The package is designed for high-dimensional network inference where both sparsity and group structure are present.
Author: Shiying Xiao [aut, cre] , Jun Yan [aut] , Panpan Zhang [aut]
Maintainer: Shiying Xiao <shiying.xiao@outlook.com>

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Package autoMR updated to version 1.1.2 with previous version 1.1.1 dated 2026-04-22

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>

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Package KPC updated to version 0.1.3 with previous version 0.1.2 dated 2022-10-05

Title: Kernel Partial Correlation Coefficient
Description: Implementations of two empirical versions the kernel partial correlation (KPC) coefficient and the associated variable selection algorithms. KPC is a measure of the strength of conditional association between Y and Z given X, with X, Y, Z being random variables taking values in general topological spaces. As the name suggests, KPC is defined in terms of kernels on reproducing kernel Hilbert spaces (RKHSs). The population KPC is a deterministic number between 0 and 1; it is 0 if and only if Y is conditionally independent of Z given X, and it is 1 if and only if Y is a measurable function of Z and X. One empirical KPC estimator is based on geometric graphs, such as K-nearest neighbor graphs and minimum spanning trees, and is consistent under very weak conditions. The other empirical estimator, defined using conditional mean embeddings (CMEs) as used in the RKHS literature, is also consistent under suitable conditions. Using KPC, a stepwise forward variable selection algorithm KFOCI (usin [...truncated...]
Author: Zhen Huang [aut, cre], Nabarun Deb [ctb], Bodhisattva Sen [ctb], Benjamin Lang [ctb]
Maintainer: Zhen Huang <zh2395@columbia.edu>

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Package packagepal updated to version 0.1.1 with previous version 0.1.0 dated 2023-08-14

Title: Guidelines and Checklists for Building CRAN-Worthy Packages
Description: Provides essential checklists for R package developers, whether you're creating your first package or beginning a new project. This tool guides you through each step of the development process, including specific considerations for submitting your package to the Comprehensive R Archive Network (CRAN). Simplify your workflow and ensure adherence to best practices with 'packagepal'.
Author: Lee Durbin [aut, cre, cph]
Maintainer: Lee Durbin <l.d.durbin@gmail.com>

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Package osmclass updated to version 0.1.4 with previous version 0.1.3 dated 2023-08-17

Title: Classify Open Street Map Features
Description: Classify Open Street Map (OSM) features into meaningful functional or analytical categories. Designed for OSM PBF files, e.g. from <https://download.geofabrik.de/> imported as spatial data frames. A classification consists of a list of categories that are related to certain OSM tags and values. Given a layer from an OSM PBF file and a classification, the main osm_classify() function returns a classification data table giving, for each feature, the primary and alternative categories (if there is overlap) assigned, and the tag(s) and value(s) matched on. The package also contains a classification of OSM features by economic function/significance, following Krantz (2023) <https://www.ssrn.com/abstract=4537867>.
Author: Sebastian Krantz [aut, cre]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

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Package denguedatahub updated to version 4.1.0 with previous version 3.2.0 dated 2025-06-25

Title: A Tidy Format Datasets of Dengue by Country
Description: Provides a weekly, monthly, yearly summary of dengue cases by state/ province/ country.
Author: Thiyanga S. Talagala [aut, cre]
Maintainer: Thiyanga S. Talagala <ttalagala@sjp.ac.lk>

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Package windAC updated to version 1.3.0 with previous version 1.2.10 dated 2023-03-22

Title: Area Correction Methods
Description: Post-construction fatality monitoring studies at wind facilities are based on data from searches for bird and bat carcasses in plots beneath turbines. Bird and bat carcasses can fall outside of the search plot. Bird and bat carcasses from wind turbines often fall outside of the searched area. To compensate, area correction (AC) estimations are calculated to estimate the percentage of fatalities that fall within the searched area versus those that fall outside of it. This package provides two likelihood based methods and one physics based method (Hull and Muir (2010) <doi:10.1080/14486563.2010.9725253>, Huso and Dalthorp (2014) <doi:10.1002/jwmg.663>) to estimate the carcass fall distribution. There are also functions for calculating the proportion of area searched within one unit annuli, log logistic distribution functions, and truncated distribution functions.
Author: Paul Rabie [aut], Daniel Riser-Espinoza [aut, cre], Trent McDonald [ctb], Western EcoSystems Technology, Inc. [cph, fnd]
Maintainer: Daniel Riser-Espinoza <despinoza@west-inc.com>

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Package sc2sc updated to version 0.0.1-19 with previous version 0.0.1-18 dated 2025-11-01

Title: Spatial Transfer of Statistics among Spanish Census Sections
Description: Transfers/imputes statistics among Spanish spatial polygons (census sections or postal code areas) from different moments in time (2001-2026) without need of spatial files, just linking statistics to the ID codes of the spatial units. The data available in the census sections of a partition/division (cartography) into force in a moment of time is transferred to the census sections of another partition/division employing the geometric approach (also known as areal weighting or polygon overlay). References: Goerlich (2022) <doi:10.12842/WPIVIE_0322>. Pavía and Cantarino (2017a, b) <doi:10.1111/gean.12112>, <doi:10.1016/j.apgeog.2017.06.021>. Pérez and Pavía (2024a, b) <doi:10.4995/CARMA2024.2024.17796>, <doi:10.38191/iirr-jorr.24.057>. Acknowledgements: The authors wish to thank Consellería de Educación, Cultura, Universidades y Empleo, Generalitat Valenciana (grant CIACIO/2023/031), Consellería de Educación, Universidades y Empleo, Generalitat Valenciana (g [...truncated...]
Author: Virgilio Perez [aut] , Jose M. Pavia [aut, cre]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>

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Package npwbs updated to version 0.3.0 with previous version 0.2.0 dated 2021-07-06

Title: Nonparametric Multiple Change Point Detection Using Wild Binary Segmentation
Description: Implements a procedure for detecting multiple location-scale change points in a sequence of univariate observations, as described in Ross (2026) "Nonparametric Detection of Multiple Location-Scale Change Points via Wild Binary Segmentation" <doi:10.48550/arXiv.2107.01742>. The method combines Wild Binary Segmentation with a rank-based statistic and provides calibrated thresholds for controlling the probability of incorrectly detecting a change point in a homogeneous sequence.
Author: Gordon J. Ross [aut, cre]
Maintainer: Gordon J. Ross <gordon.ross@ed.ac.uk>

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Package np updated to version 0.70-1 with previous version 0.60-20 dated 2026-02-12

Title: Nonparametric Kernel Smoothing Methods for Mixed Data Types
Description: Nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types. We 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://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], Tristen Hayfield [aut]
Maintainer: Jeffrey S. Racine <racinej@mcmaster.ca>

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Package languageserver updated to version 0.3.18 with previous version 0.3.17 dated 2026-03-07

Title: Language Server Protocol
Description: An implementation of the Language Server Protocol for R. The Language Server protocol is used by an editor client to integrate features like auto completion. See <https://microsoft.github.io/language-server-protocol/> for details.
Author: Randy Lai [aut, cre], Kun Ren [ctb]
Maintainer: Randy Lai <randy.cs.lai@gmail.com>

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Package fixes updated to version 0.7.2 with previous version 0.5.0 dated 2025-07-07

Title: Tools for Creating and Visualizing Fixed-Effects Event Study Models
Description: Provides functions for creating, analyzing, and visualizing event study models using fixed-effects regression. Supports staggered adoption, multiple confidence intervals, flexible clustering, and panel/time transformations in a simple workflow.
Author: Yosuke Abe [aut, cre]
Maintainer: Yosuke Abe <yosuke.abe0507@gmail.com>

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Package ggRandomForests readmission to version 2.7.2 with previous version 2.2.1 dated 2022-09-01

Title: Visually Exploring Random Forests
Description: Graphic elements for exploring Random Forests using the 'randomForest' or 'randomForestSRC' package for survival, regression and classification forests and 'ggplot2' package plotting. Implements visualisations of the methods described in Breiman (2001) <doi:10.1023/A:1010933404324> and Ishwaran, Kogalur, Blackstone, and Lauer (2008) <doi:10.1214/08-AOAS169>.
Author: John Ehrlinger [aut, cre]
Maintainer: John Ehrlinger <john.ehrlinger@gmail.com>

This is a re-admission after prior archival of version 2.2.1 dated 2022-09-01

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Fri, 01 May 2026

Package SmCCNet updated to version 2.0.7 with previous version 2.0.6 dated 2026-04-28

Title: Sparse Multiple Canonical Correlation Network Analysis Tool ('SmCCNet')
Description: A canonical correlation based framework ('SmCCNet') designed for the construction of phenotype-specific multi-omics networks. This framework adeptly integrates single or multiple omics data types along with a quantitative or binary phenotype of interest. It offers a streamlined setup process that can be tailored manually or configured automatically, ensuring a flexible and user-friendly experience. Methods are described in Shi et al. (2019) "Unsupervised discovery of phenotype-specific multi-omics networks" <doi:10.1093/bioinformatics/btz226>.
Author: Abhinav Pundir [cre], Weixuan Liu [aut], Yonghua Zhuang [aut], W. Jenny Shi [aut], Thao Vu [aut], Iain Konigsberg [aut], Katherine Pratte [aut], Laura Saba [aut], Katerina Kechris [aut]
Maintainer: Abhinav Pundir <abhinav.pundir@ucdenver.edu>

Diff between SmCCNet versions 2.0.6 dated 2026-04-28 and 2.0.7 dated 2026-05-01

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Package ineptr2 updated to version 0.3.1 with previous version 0.3.0 dated 2026-04-28

Title: Wrapper for Statistics Portugal API
Description: An R6-based client to facilitate interaction with the Statistics Portugal (Instituto Nacional de Estatistica - INE) API (<https://www.ine.pt/xportal/xmain?xpid=INE&xpgid=ine_api&INST=322751522&xlang=en>).
Author: Carlos Matos [aut, cre, cph]
Maintainer: Carlos Matos <carlosmdmatos@gmail.com>

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Package Dimodal updated to version 1.0.4 with previous version 1.0.3 dated 2026-02-18

Title: Spacing Tests for Multi-Modality
Description: Tests for modality of data using its spacing. The main approach evaluates features (peaks, flats) using a combination of parametric models and non-parametric tests, either after smoothing the spacing by a low-pass filter or by looking over larger intervals.
Author: Greg Kreider [aut, cre], Melissa O'Neill [cph], Primordial Machine Vision Systems, Inc. [cph]
Maintainer: Greg Kreider <support@primachvis.com>

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Package crs updated to version 0.15-42 with previous version 0.15-41 dated 2026-04-11

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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Package toxpiR updated to version 1.3.2 with previous version 1.3.1 dated 2025-12-16

Title: Create ToxPi Prioritization Models
Description: Enables users to build 'ToxPi' prioritization models and provides functionality within the grid framework for plotting ToxPi graphs. 'toxpiR' allows for more customization than the 'ToxPi GUI' (<https://toxpi.github.io/>) and integration into existing workflows for greater ease-of-use, reproducibility, and transparency. toxpiR package behaves nearly identically to the GUI; the package documentation includes notes about all differences. The vignettes download example files from <https://github.com/ToxPi/ToxPi-example-files>.
Author: Jonathon F Fleming [aut, cre] , Dayne L Filer [aut, fnd] , Dillon T Lloyd [aut], Preethi Thunga [aut] , Skylar W Marvel [aut], Alison A Motsinger-Reif [fnd] , David M Reif [aut, fnd]
Maintainer: Jonathon F Fleming <jffleming0129@gmail.com>

Diff between toxpiR versions 1.3.1 dated 2025-12-16 and 1.3.2 dated 2026-05-01

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More information about toxpiR at CRAN
Permanent link

Package spCF updated to version 0.1.1 with previous version 0.1.0 dated 2026-01-19

Title: Coarse-to-Fine Spatial Modeling
Description: Provides functions for coarse-to-fine spatial modeling (CFSM), enabling fast spatial prediction, regression, and uncertainty quantification. This method is suitable for moderate to large samples. For further details, see Murakami et al. (2026) <doi:10.1111/gean.70034>.
Author: Daisuke Murakami [aut, cre], Alexis Comber [aut], Takahiro Yoshida [aut], Narumasa Tsutsumida [aut], Chris Brunsdon [aut], Tomoki Nakaya [aut]
Maintainer: Daisuke Murakami <dmuraka@ism.ac.jp>

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More information about spCF at CRAN
Permanent link

Package roxygen2 updated to version 8.0.0 with previous version 7.3.3 dated 2025-09-03

Title: In-Line Documentation for R
Description: Generate your Rd documentation, 'NAMESPACE' file, and collation field using specially formatted comments. Writing documentation in-line with code makes it easier to keep your documentation up-to-date as your requirements change. 'roxygen2' is inspired by the 'Doxygen' system for C++.
Author: Hadley Wickham [aut, cre, cph] , Peter Danenberg [aut, cph], Gabor Csardi [aut], Manuel Eugster [aut, cph], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package pould readmission to version 1.0.2 with previous version 1.0.1 dated 2020-10-16

Title: Phased or Unphased Linkage Disequilibrium
Description: Computes the D', Wn, and conditional asymmetric linkage disequilibrium (ALD) measures for pairs of genetic loci. Performs these linkage disequilibrium (LD) calculations on phased genotype data recorded using Genotype List (GL) String or columnar formats. Alternatively, generates expectation-maximization (EM) estimated haplotypes from phased data, or performs LD calculations on EM estimated haplotypes. Performs sign tests comparing LD values for phased and unphased datasets, and generates heat-maps for each LD measure. Described by Osoegawa et al. (2019a) <doi:10.1016/j.humimm.2019.01.010>, and Osoegawa et. al. (2019b) <doi:10.1016/j.humimm.2019.05.018>.
Author: Steven Mack [aut, cre]
Maintainer: Steven Mack <steven.mack@ucsf.edu>

This is a re-admission after prior archival of version 1.0.1 dated 2020-10-16

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Package pequod updated to version 0.2.0 with previous version 0.1.1 dated 2026-04-29

Title: Colour Palette for Reading and Code, Inspired by Moby-Dick
Description: The Pequod colour palette, named after the whaler in Herman Melville's Moby-Dick. Provides the full Log base scale from warm paper (Log 50) to deep ink (Log 950), eight crew accent hues with light and dark variants, and 'ggplot2' scales for discrete and continuous mapping. Designed for long-form reading and code, with low saturation and a consistent earth- pigment register. Full design rationale and accessibility notes at <https://tiagojct.eu/projects/pequod/>.
Author: Tiago Jacinto [aut, cre]
Maintainer: Tiago Jacinto <tiagojacinto@med.up.pt>

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Package GxEScanR readmission to version 3.0.0 with previous version 2.0.2 dated 2020-10-02

Title: Run GWAS/GWEIS Scans Using Binary Dosage Files
Description: Tools to run genome-wide association study (GWAS) and genome-wide by environment interaction study (GWEIS) scans using the genetic data stored in a binary dosage file. The user provides a data frame with the subject's covariate data and the information about the binary dosage file returned by the BinaryDosage::getbdinfo() routine.
Author: John Morrison [aut, cre], W. James Gauderman [aut], NCI [fnd] , NCI [fnd] , NIEHS [fnd] , NHLBI [fnd]
Maintainer: John Morrison <jmorr@usc.edu>

This is a re-admission after prior archival of version 2.0.2 dated 2020-10-02

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Package terminalgraphics updated to version 0.3.0 with previous version 0.2.1 dated 2025-11-26

Title: Graphical Output in Terminals
Description: Defines a graphics device and functions for graphical output in terminal emulators that support graphical output. Currently terminals that support the Terminal Graphics Protocol (<https://sw.kovidgoyal.net/kitty/graphics-protocol/>) and terminal supporting Sixel (<https://en.wikipedia.org/wiki/Sixel>) are supported.
Author: Jan van der Laan [aut, cre] , Doug Kelkhoff [ctb]
Maintainer: Jan van der Laan <r@eoos.dds.nl>

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Package simcross updated to version 0.8 with previous version 0.6 dated 2023-11-29

Title: Simulate Experimental Crosses
Description: Simulate and plot general experimental crosses. The focus is on simulating genotypes with an aim towards flexibility rather than speed. Meiosis is simulated following the Stahl model, in which chiasma locations are the superposition of two processes: a proportion p coming from a process exhibiting no interference, and the remainder coming from a process following the chi-square model.
Author: Karl W Broman [aut, cre]
Maintainer: Karl W Broman <broman@wisc.edu>

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Package UKFE updated to version 2.0.1 with previous version 2.0.0 dated 2025-10-28

Title: UK Flood Estimation
Description: Functions to implement the methods of the Flood Estimation Handbook (FEH), associated updates and the revitalised flood hydrograph model (ReFH). Currently the package uses NRFA peak flow dataset version 14. Aside from FEH functionality, further hydrological functions are available. Most of the methods implemented in this package are described in one or more of the following: "Flood Estimation Handbook", Centre for Ecology & Hydrology (1999, ISBN:0 948540 94 X). "Flood Estimation Handbook Supplementary Report No. 1", Kjeldsen (2007, ISBN:0 903741 15 7). "Regional Frequency Analysis - an approach based on L-moments", Hosking & Wallis (1997, ISBN: 978 0 521 01940 8). "Making better use of local data in flood frequency estimation", Environment Agency (2017, ISBN: 978 1 84911 387 8). "Sampling uncertainty of UK design flood estimation" , Hammond (2021, <doi:10.2166/nh.2021.059>). "The FEH 2025 statistical method update", UK Centre for Ecology and Hydrology (2025). "Low flow es [...truncated...]
Author: Anthony Hammond [aut, cre]
Maintainer: Anthony Hammond <agqhammond@gmail.com>

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Package metap updated to version 1.14 with previous version 1.13 dated 2025-12-18

Title: Meta-Analysis of Significance Values
Description: The canonical way to perform meta-analysis involves using effect sizes. When they are not available this package provides a number of methods for meta-analysis of significance values including the methods of Edgington, Fisher, Lancaster, Stouffer, Tippett, and Wilkinson; a number of data-sets to replicate published results; and routines for graphical display.
Author: Michael Dewey [aut, cre]
Maintainer: Michael Dewey <lists@dewey.myzen.co.uk>

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Package lfproQC updated to version 1.4.2 with previous version 1.4.1 dated 2025-07-02

Title: Quality Control for Label-Free Proteomics Expression Data
Description: Label-free bottom-up proteomics expression data is often affected by data heterogeneity and missing values. Normalization and missing value imputation are commonly used techniques to address these issues and make the dataset suitable for further downstream analysis. This package provides an optimal combination of normalization and imputation methods for the dataset. The package utilizes three normalization methods and three imputation methods.The statistical evaluation measures named pooled co-efficient of variance, pooled estimate of variance and pooled median absolute deviation are used for selecting the best combination of normalization and imputation method for the given dataset. The user can also visualize the results by using various plots available in this package. The user can also perform the differential expression analysis between two sample groups with the function included in this package. The chosen three normalization methods, three imputation methods and three evaluati [...truncated...]
Author: Kabilan S [aut, cre], Dr Shashi Bhushan Lal [aut, ths], Dr Sudhir Srivastava [aut, ths], Dr Krishna Kumar Chaturvedi [ths], Dr Yasin Jeshima K [ths], Dr Ramasubramanian V [ths], Dr Girish Kumar Jha [ctb], Dr Sharanbasappa [ctb]
Maintainer: Kabilan S <kabilan151414@gmail.com>

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Package binb updated to version 0.0.8 with previous version 0.0.7 dated 2024-07-06

Title: 'binb' is not 'Beamer'
Description: A collection of 'LaTeX' styles using 'Beamer' customization for pdf-based presentation slides in 'RMarkdown'. At present it contains 'RMarkdown' adaptations of the LaTeX themes 'Metropolis' (formerly 'mtheme') theme by Matthias Vogelgesang and others (now included in 'TeXLive'), the 'IQSS' them by Ista Zahn (which is included here), and the 'Monash' theme by Rob J Hyndman. Additional (free) fonts may be needed: 'Metropolis' prefers 'Fira', and 'IQSS' requires 'Libertinus'.
Author: Dirk Eddelbuettel [aut, cre] , Ista Zahn [aut] , Rob Hyndman [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between binb versions 0.0.7 dated 2024-07-06 and 0.0.8 dated 2026-05-01

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Package nlsr updated to version 2026.4.29 with previous version 2023.8.31 dated 2023-09-05

Title: Functions for Nonlinear Least Squares Solutions - Updated 2022
Description: Provides tools for working with nonlinear least squares problems. For the estimation of models reliable and robust tools than nls(), where the the Gauss-Newton method frequently stops with 'singular gradient' messages. This is accomplished by using, where possible, analytic derivatives to compute the matrix of derivatives and a stabilization of the solution of the estimation equations. Tools for approximate or externally supplied derivative matrices are included. Bounds and masks on parameters are handled properly.
Author: John C Nash [aut, cre], Duncan Murdoch [aut], Fernando Miguez [ctb], Arkajyoti Bhattacharjee [ctb]
Maintainer: John C Nash <profjcnash@gmail.com>

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Package autograph updated to version 1.0.3 with previous version 1.0.0 dated 2026-04-04

Title: Automatic Plotting and Theming of Many Graphs
Description: Visual exploration and presentation of networks should not be difficult. This package includes functions for plotting networks and network-related metrics with sensible and pretty defaults. It includes 'ggplot2'-based plot methods for many popular network package classes. It also includes some novel layout algorithms, and options for straightforward, consistent themes.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package slideimp updated to version 1.1.0 with previous version 1.0.0 dated 2026-04-16

Title: Numeric Matrices K-NN and PCA Imputation
Description: Fast k-nearest neighbors (K-NN) and principal component analysis (PCA) imputation algorithms for missing values in high-dimensional numeric matrices, i.e., epigenetic data. For extremely high-dimensional data with ordered features, a sliding window approach for K-NN or PCA imputation is provided. Additional features include group-wise imputation (e.g., by chromosome), hyperparameter tuning with repeated cross-validation, multi-core parallelization, and optional subset imputation. The K-NN algorithm is described in: Hastie, T., Tibshirani, R., Sherlock, G., Eisen, M., Brown, P. and Botstein, D. (1999) "Imputing Missing Data for Gene Expression Arrays". The PCA imputation is an optimized version of the imputePCA() function from the 'missMDA' package described in: Josse, J. and Husson, F. (2016) <doi:10.18637/jss.v070.i01> "missMDA: A Package for Handling Missing Values in Multivariate Data Analysis".
Author: Hung Pham [aut, cre, cph]
Maintainer: Hung Pham <amser.hoanghung@gmail.com>

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Package prefviz updated to version 0.1.2 with previous version 0.1.1 dated 2026-04-13

Title: Visualizes Preferential Data in One and More Contests
Description: A visualization toolkit for preferential data, such as ranked-choice election results, tournament outcomes, and survey responses. The package provides methods to visualise the preference distribution of one contest with bar charts and pairwise comparisons of two contestants, as well as methods to visualise multiple contests through 2D and high-dimensional simplex plots both statically and interactively. HD simplex displays are implemented via projection methods using the 'tourr' and 'detourr' packages, enabling dynamic exploration of high-dimensional preference structure. For more details on HD simplex projection, see Wickham et al. (2011) <doi:10.21105/joss.03419>.
Author: Linh Ngo [aut, cre], Dianne Cook [aut] , Damjan Vukcevic [aut]
Maintainer: Linh Ngo <linhngo66.work@gmail.com>

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Package npRmpi updated to version 0.70-1 with previous version 0.60-20 dated 2026-02-16

Title: Parallel Nonparametric Kernel Smoothing Methods for Mixed Data Types Using 'MPI'
Description: Nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types. This package is a parallel implementation of the 'np' package based on the 'MPI' specification that incorporates the 'Rmpi' package (Hao Yu <hyu@stats.uwo.ca>) with minor modifications and we are extremely grateful to Hao Yu for his contributions to the 'R' community. We 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://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 t [...truncated...]
Author: Jeffrey S. Racine [aut, cre], Tristen Hayfield [aut], Hao Yu [ctb, cph], The GSL Team [cph], Numerical Recipes Software [cph]
Maintainer: Jeffrey S. Racine <racinej@mcmaster.ca>

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Package ecoXCorr updated to version 0.2.2 with previous version 0.2.1 dated 2026-04-01

Title: Lagged Cross-Correlation Analysis of Environmental Time Series
Description: Tools for analysing lagged relationships between environmental variables and ecological or epidemiological time series. The package implements a workflow to aggregate meteorological data over multiple lagged intervals, fit regression models, including mixed-effect models using 'glmmTMB', for each lag window, and visualise varied models outcomes (effect strength and direction, model prediction error...) using cross-correlation maps ('CCM').
Author: Nicolas Moiroux [aut, cre] , Colombine Bartholomee [aut] , Paul Taconet [aut]
Maintainer: Nicolas Moiroux <nicolas.moiroux@ird.fr>

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Package shazam updated to version 1.3.2 with previous version 1.3.1 dated 2026-01-08

Title: Immunoglobulin Somatic Hypermutation Analysis
Description: Provides a computational framework for analyzing mutations in immunoglobulin (Ig) sequences. Includes methods for Bayesian estimation of antigen-driven selection pressure, mutational load quantification, building of somatic hypermutation (SHM) models, and model-dependent distance calculations. Also includes empirically derived models of SHM for both mice and humans. Citations: Gupta and Vander Heiden, et al (2015) <doi:10.1093/bioinformatics/btv359>, Yaari, et al (2012) <doi:10.1093/nar/gks457>, Yaari, et al (2013) <doi:10.3389/fimmu.2013.00358>, Cui, et al (2016) <doi:10.4049/jimmunol.1502263>.
Author: Mohamed Uduman [aut], Namita Gupta [aut], Susanna Marquez [aut, cre], Julian Zhou [aut], Nima Nouri [aut], Noah Yann Lee [aut], Ang Cui [ctb], Jason Vander Heiden [aut], Gur Yaari [aut], Steven Kleinstein [aut, cph]
Maintainer: Susanna Marquez <susanna.marquez@yale.edu>

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Package cNORM updated to version 3.5.3 with previous version 3.5.2 dated 2026-02-26

Title: Continuous Norming
Description: A comprehensive toolkit for generating continuous test norms in psychometrics and biometrics, and analyzing model fit. The package offers both distribution-free modeling using Taylor polynomials and parametric modeling using the beta-binomial and the 'Sinh-Arcsinh' distribution. Originally developed for achievement tests, it is applicable to a wide range of mental, physical, or other test scores dependent on continuous or discrete explanatory variables. The package provides several advantages: It minimizes deviations from representativeness in subsamples, interpolates between discrete levels of explanatory variables, and significantly reduces the required sample size compared to conventional norming per age group. cNORM enables graphical and analytical evaluation of model fit, accommodates a wide range of scales including those with negative and descending values, and even supports conventional norming. It generates norm tables including confidence intervals. It also includes methods f [...truncated...]
Author: Alexandra Lenhard [aut] , Wolfgang Lenhard [cre, aut] , Sebastian Gary [aut], WPS Publisher [fnd]
Maintainer: Wolfgang Lenhard <wolfgang.lenhard@uni-wuerzburg.de>

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Package ggrounded updated to version 0.2.0 with previous version 0.1.0 dated 2026-04-10

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 smcfcs updated to version 2.0.2 with previous version 2.0.1 dated 2025-07-17

Title: Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification
Description: Implements multiple imputation of missing covariates by Substantive Model Compatible Fully Conditional Specification. This is a modification of the popular FCS/chained equations multiple imputation approach, and allows imputation of missing covariate values from models which are compatible with the user specified substantive model.
Author: Jonathan Bartlett [aut, cre], Ruth Keogh [aut], Edouard F. Bonneville [aut], Lars van der Burg [aut], Claus Thorn Ekstroem [ctb]
Maintainer: Jonathan Bartlett <jonathan.bartlett1@lshtm.ac.uk>

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Package secretbase updated to version 1.2.2 with previous version 1.2.1 dated 2026-03-30

Title: Cryptographic Hash Functions and Data Encoding
Description: Fast and memory-efficient streaming hash functions, binary/text encoding and serialization. Hashes strings and raw vectors directly. Stream hashes files which can be larger than memory, as well as in-memory objects through R's serialization mechanism. Implements the SHA-256, SHA-3 and 'Keccak' cryptographic hash functions, SHAKE256 extendable-output function (XOF), 'SipHash' pseudo-random function, base64 and base58 encoding, 'CBOR' and 'JSON' serialization.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Hibiki AI Limited [cph], The Mbed TLS Contributors [cph] , Red Hat, Inc. [cph] , Luke Dashjr [cph]
Maintainer: Charlie Gao <charlie.gao@posit.co>

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Package midr updated to version 0.6.1 with previous version 0.6.0 dated 2026-03-08

Title: Learning from Black-Box Models by Maximum Interpretation Decomposition
Description: The goal of 'midr' is to provide a model-agnostic method for interpreting and explaining black-box predictive models by creating a globally interpretable surrogate model. The package implements 'Maximum Interpretation Decomposition' (MID), a functional decomposition technique that finds an optimal additive approximation of the original model. This approximation is achieved by minimizing the squared error between the predictions of the black-box model and the surrogate model. The theoretical foundations of MID are described in Iwasawa & Matsumori (2025) [Forthcoming], and the package itself is detailed in Asashiba et al. (2025) <doi:10.48550/arXiv.2506.08338>.
Author: Ryoichi Asashiba [aut, cre] , Hirokazu Iwasawa [aut], Reiji Kozuma [ctb]
Maintainer: Ryoichi Asashiba <ryoichi.asashiba@gmail.com>

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Package inlabru updated to version 2.14.1 with previous version 2.14.0 dated 2026-03-08

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

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Package hydroGOF updated to version 0.7-0 with previous version 0.6-0.1 dated 2024-11-04

Title: Goodness-of-Fit Functions for Comparison of Simulated and Observed Hydrological Time Series
Description: S3 functions implementing both statistical and graphical goodness-of-fit measures between observed and simulated values, mainly oriented to be used during the calibration, validation, and application of hydrological models. Missing values in observed and/or simulated values can be removed before computations. Comments / questions / collaboration of any kind are very welcomed.
Author: Mauricio Zambrano-Bigiarini [aut, cre, cph]
Maintainer: Mauricio Zambrano-Bigiarini <mzb.devel@gmail.com>

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Package bplsr updated to version 1.0.5 with previous version 1.0.4 dated 2025-07-10

Title: Bayesian partial least squares regression
Description: Fits the Bayesian partial least squares regression model introduced in Urbas et al. (2024) <doi:10.1214/24-AOAS1947>. Suitable for univariate and multivariate regression with high-dimensional data.
Author: Szymon Urbas [aut, cre], Pierre Lovera [ctb], Robert Daly [ctb], Alan O'Riordan [ctb], Donagh Berry [ctb], Isobel Claire Gormley [ctb]
Maintainer: Szymon Urbas <szymon.urbas@mu.ie>

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Package RastaRocket updated to version 1.1.4 with previous version 1.1.3 dated 2026-03-23

Title: Rocket-Fast Clinical Research Reporting
Description: Description of the tables, both grouped and not grouped, with some associated data management actions, such as sorting the terms of the variables and deleting terms with zero numbers.
Author: USMR CHU de Bordeaux [aut, cre], Valentine Renaudeau [aut], Marion Kret [aut], Matisse Decilap [aut], Sahardid Mohamed Houssein [aut], Thomas Ferte [aut]
Maintainer: USMR CHU de Bordeaux <astreinte.usmr@chu-bordeaux.fr>

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Thu, 30 Apr 2026

Package rFIA updated to version 1.1.3 with previous version 1.1.2 dated 2025-09-29

Title: Estimation of Forest Variables using the FIA Database
Description: The goal of 'rFIA' is to increase the accessibility and use of the United States Forest Services (USFS) Forest Inventory and Analysis (FIA) Database by providing a user-friendly, open source toolkit to easily query and analyze FIA Data. Designed to accommodate a wide range of potential user objectives, 'rFIA' simplifies the estimation of forest variables from the FIA Database and allows all R users (experts and newcomers alike) to unlock the flexibility inherent to the Enhanced FIA design. Specifically, 'rFIA' improves accessibility to the spatial-temporal estimation capacity of the FIA Database by producing space-time indexed summaries of forest variables within user-defined population boundaries. Direct integration with other popular R packages (e.g., 'dplyr', 'tidyr', and 'sf') facilitates efficient space-time query and data summary, and supports common data representations and API design. The package implements design-based estimation procedures outlined by Bechtold & Patterson [...truncated...]
Author: Jeffrey Doser [aut, cre], Hunter Stanke [aut], Andrew Finley [aut]
Maintainer: Jeffrey Doser <jwdoser@ncsu.edu>

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Package MixMashNet updated to version 1.0.0 with previous version 0.6.0 dated 2026-03-03

Title: Tools for Multilayer and Single Layer Network Modeling
Description: Estimation and bootstrap utilities for single layer and multilayer Mixed Graphical Models, including functions for centrality, bridge metrics, membership stability, and plotting (De Martino et al. (2026) <doi:10.48550/arXiv.2602.05716>).
Author: Maria De Martino [aut, cre], Caterina Gregorio [aut], Adrien Perigord [ctb], Hudson Golino [ctb], Jonas Haslbeck [ctb]
Maintainer: Maria De Martino <maria.demartino@uniud.it>

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Package TestGenerator updated to version 0.7.0 with previous version 0.6.0 dated 2026-04-16

Title: Integration Unit Tests for Pharmacoepidemiological Studies
Description: An R interface to load testing data in the 'OMOP' Common Data Model ('CDM'). An input file, csv or xlsx, can be converted to a 'CDMConnector' object. This object can be used to execute and test studies that use the 'CDM' <https://www.ohdsi.org/data-standardization/>.
Author: Cesar Barboza [aut] , Ioanna Nika [aut], Ger Inberg [aut, cre] , Adam Black [aut]
Maintainer: Ger Inberg <g.inberg@erasmusmc.nl>

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Package test.assessr updated to version 2.1.0 with previous version 2.0.0 dated 2026-04-16

Title: Assessing Package Test Reliability and Quality
Description: A reliable and validated tool that calculates unit test coverage for R packages with standard testing frameworks and non-standard testing frameworks.
Author: Edward Gillian [cre, aut] , Hugo Bottois [aut] , Paulin Charliquart [aut], Andre Couturier [aut], Sanofi [cph, fnd]
Maintainer: Edward Gillian <edward.gillian-ext@sanofi.com>

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Package rts2 updated to version 1.0.2 with previous version 0.10.2 dated 2026-02-02

Title: Real-Time Disease Surveillance
Description: Supports modelling real-time case data to facilitate the real-time surveillance of infectious diseases and other point phenomena. The package provides automated computational grid generation over an area of interest with methods to map covariates between geographies, model fitting including spatially aggregated case counts, and predictions and visualisation. Both Bayesian and maximum likelihood methods are provided. Log-Gaussian Cox Processes are described by Diggle et al. (2013) <doi:10.1214/13-STS441> and we provide both the low-rank approximation for Gaussian processes described by Solin and Särkkä (2020) <doi:10.1007/s11222-019-09886-w> and Riutort-Mayol et al (2023) <doi:10.1007/s11222-022-10167-2> and the nearest neighbour Gaussian process described by Datta et al (2016) <doi:10.1080/01621459.2015.1044091>.
Author: Sam Watson [aut, cre]
Maintainer: Sam Watson <s.i.watson@bham.ac.uk>

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Package qtl2convert updated to version 0.32 with previous version 0.30 dated 2024-04-04

Title: Convert Data among QTL Mapping Packages
Description: Functions to convert data structures among the 'qtl2', 'qtl', and 'DOQTL' packages for mapping quantitative trait loci (QTL).
Author: Karl W Broman [aut, cre]
Maintainer: Karl W Broman <broman@wisc.edu>

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Package marginme updated to version 0.1.1 with previous version 0.1.0 dated 2025-07-28

Title: Estimation of Relative Risks, Risk Differences, and Marginal Effects from Mixed Models Using Marginal Standardization
Description: Estimation of relative risks, risk differences, and partial effects from mixed model. Marginalisation over random effect terms is accomplished using Markov Chain Monte Carlo.
Author: Sam Watson [aut, cre]
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>

Diff between marginme versions 0.1.0 dated 2025-07-28 and 0.1.1 dated 2026-04-30

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Package pam updated to version 2.2.1 with previous version 2.2.0 dated 2026-04-23

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>

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Package omophub updated to version 1.7.0 with previous version 1.6.0 dated 2026-04-14

Title: R Client for the 'OMOPHub' Medical Vocabulary API
Description: Provides an R interface to the 'OMOPHub' API for accessing 'OHDSI ATHENA' standardized medical vocabularies. Supports concept search, semantic search using neural embeddings, concept similarity, vocabulary exploration, hierarchy navigation, relationship queries, concept mappings, and FHIR-to-OMOP concept resolution with automatic pagination.
Author: Alex Chen [aut, cre, cph], Observational Health Data Science and Informatics [cph]
Maintainer: Alex Chen <alex@omophub.com>

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Package CUSUMdesign updated to version 1.1.7 with previous version 1.1.6 dated 2026-04-20

Title: Compute Decision Interval and Average Run Length for CUSUM Charts
Description: Computation of decision intervals (H) and average run lengths (ARL) for CUSUM charts. Details of the method are seen in Hawkins and Olwell (2012): Cumulative sum charts and charting for quality improvement, Springer Science & Business Media.
Author: Douglas M. Hawkins [aut], David H. Olwell [aut], Boxiang Wang [aut, cre]
Maintainer: Boxiang Wang <boxiang-wang@uiowa.edu>

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Package BivLaplaceRL updated to version 1.0.0 with previous version 0.2.0 dated 2026-04-29

Title: Bivariate Laplace Transforms, Stochastic Orders, and Entropy Measures in Reliability
Description: Implements methods for bivariate and univariate Laplace transforms of residual lives and reversed residual lives, associated stochastic ordering concepts, and entropy measures for reliability analysis. The package covers: (1) Bivariate Laplace transform of residual lives and stochastic comparisons based on the bivariate Laplace transform order of residual lives (BLt-rl), including weak bivariate hazard rate, mean residual life, and relative mean residual life orders, nonparametric estimation, and NBUHR/NWUHR aging class characterisation; Jayalekshmi, Rajesh, and Nair (2022) "Bivariate Laplace Transform of Residual Lives and Their Properties" <doi:10.1080/03610926.2022.2085874>; (2) Bivariate Laplace transform order of reversed residual lives (BLt-Rrl), reversed hazard gradient, reversed mean residual life, and the associated stochastic orders (weak bivariate reversed hazard rate, weak bivariate reversed mean residual life); Jayalekshmi, Rajesh, and Nair (2022) "Bivariate Laplace [...truncated...]
Author: Mahesh Divakaran [aut, cre] , S. Jayalekshmi [aut, ctb] , G. Rajesh [aut] , N. Unnikrishnan Nair [aut]
Maintainer: Mahesh Divakaran <imaheshdivakaran@gmail.com>

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Package maplegend updated to version 0.6.3 with previous version 0.6.2 dated 2026-04-14

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 devianLM updated to version 1.1.0 with previous version 1.0.7 dated 2025-11-21

Title: Detecting Extremal Values in a Normal Linear Model
Description: Provides a method to detect values poorly explained by a Gaussian linear model. The procedure is based on the maximum of the absolute value of the studentized residuals, which is a parameter-free statistic. This approach generalizes several procedures used to detect abnormal values during longitudinal monitoring of biological markers. For methodological details, see: Berthelot G., Saulière G., Dedecker J. (2025). "DEViaN-LM An R Package for Detecting Abnormal Values in the Gaussian Linear Model". HAL Id: hal-05230549. <https://hal.science/hal-05230549>.
Author: Guillaume Sauliere [aut] , Geoffroy Berthelot [aut, cre] , Jerome Dedecker [aut]
Maintainer: Geoffroy Berthelot <geoffroy.berthelot@insep.fr>

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Package Cascade updated to version 2.4 with previous version 2.3 dated 2025-09-19

Title: Selection, Reverse-Engineering and Prediction in Cascade Networks
Description: A modeling tool allowing gene selection, reverse engineering, and prediction in cascade networks. Jung, N., Bertrand, F., Bahram, S., Vallat, L., and Maumy-Bertrand, M. (2014) <doi:10.1093/bioinformatics/btt705>.
Author: Frederic Bertrand [cre, aut] , Myriam Maumy-Bertrand [aut] , Laurent Vallat [ctb], Nicolas Jung [ctb]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

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Package xxdi updated to version 1.26.4 with previous version 1.3.1 dated 2026-01-12

Title: An R Package for Evaluating Expertise Indices for Research Strength Assessment
Description: Institutional performance assessment remains a key challenge to a multitude of stakeholders. Existing indicators such as h-type indicators, g-type indicators, and many others do not reflect expertise of institutions that defines their research portfolio. The package offers functionality to compute and visualise two novel indices: the x-index and the xd-index. The x-index evaluates an institution's scholarly expertise within a specific discipline or field, while the xd-index provides a broader assessment of overall scholarly expertise considering an institution's publication pattern and strengths across coarse thematic areas. These indices offer a nuanced understanding of institutional research capabilities, aiding stakeholders in research management and resource allocation decisions. Lathabai, H.H., Nandy, A., and Singh, V.K. (2021) <doi:10.1007/s11192-021-04188-3>. Nandy, A., Lathabai, H.H., and Singh, V.K. (2023) <doi:10.5281/zenodo.8305585>. This package provides the h-, [...truncated...]
Author: Nilabhra R Das [cre, aut] , Abhirup Nandy [aut]
Maintainer: Nilabhra R Das <nr.das@yahoo.com>

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Package tidyllm updated to version 0.5.0 with previous version 0.4.0 dated 2026-03-17

Title: Tidy Integration of Large Language Models
Description: A tidy interface for integrating large language model (LLM) APIs such as 'Claude', 'OpenAI', 'Gemini', 'Mistral', and local models via 'Ollama' into R workflows. The package supports text, image, audio, video, and document interactions; a unified media interface for attaching inline files or uploading to provider file stores; batch request APIs for cost-efficient large-scale processing; and a pipeline-oriented interface for seamless integration into data workflows. Web services are available at <https://www.anthropic.com>, <https://openai.com>, <https://aistudio.google.com/>, <https://mistral.ai/> and <https://ollama.com>.
Author: Eduard Bruell [aut, cre], Jia Zhang [ctb]
Maintainer: Eduard Bruell <eduard.bruell@zew.de>

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 tidyllm-0.5.0/tidyllm/MD5                                                                             |  145 
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 tidyllm-0.5.0/tidyllm/R/APIProvider.R                                                                 |   29 
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 tidyllm-0.5.0/tidyllm/R/api_deepseek.R                                                                |   13 
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 tidyllm-0.5.0/tidyllm/R/api_groq.R                                                                    |   10 
 tidyllm-0.5.0/tidyllm/R/api_llamacpp.R                                                                |    2 
 tidyllm-0.5.0/tidyllm/R/api_mistral.R                                                                 |   54 
 tidyllm-0.5.0/tidyllm/R/api_ollama.R                                                                  |    4 
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 tidyllm-0.5.0/tidyllm/R/api_openrouter.R                                                              |   80 
 tidyllm-0.5.0/tidyllm/R/api_perplexity.R                                                              |    2 
 tidyllm-0.5.0/tidyllm/R/api_voyage.R                                                                  |    4 
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 tidyllm-0.5.0/tidyllm/R/rate_limits.R                                                                 |    3 
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 tidyllm-0.5.0/tidyllm/man/mistral_chat.Rd                                                             |    3 
 tidyllm-0.5.0/tidyllm/man/openai.Rd                                                                   |   13 
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Package rfm updated to version 0.4.0 with previous version 0.3.0 dated 2024-02-26

Title: Recency, Frequency and Monetary Value Analysis
Description: Tools for RFM (recency, frequency and monetary value) analysis. Generate RFM score from both transaction and customer level data. Visualize the relationship between recency, frequency and monetary value using heatmap, histograms, bar charts and scatter plots. Includes a 'shiny' app for interactive segmentation. References: i. Blattberg R.C., Kim BD., Neslin S.A (2008) <doi:10.1007/978-0-387-72579-6_12>.
Author: Aravind Hebbali [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>

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Package multiscape updated to version 1.0.7 with previous version 1.0.6 dated 2026-04-28

Title: Multi-Objective Spatial Planning
Description: Provides a modular framework for exact multi-objective spatial planning using mixed-integer programming. The package supports the definition of planning problems through planning units, features, management actions, action effects, spatial relations, targets, constraints, and objective functions. It enables the optimisation of spatial planning portfolios under considerations such as boundary structure, connectivity, and fragmentation. Supported multi-objective methods include weighted-sum aggregation, epsilon-constraint, and the augmented epsilon-constraint method. Problems can be solved with several commercial and open-source optimisation solvers. Optional solver backends include the 'gurobi' R package, which is distributed with the Gurobi Optimizer installation <https://docs.gurobi.com/projects/optimizer/en/13.0/reference/r/setup.html>, and the 'rcbc' R package, available from GitHub at <https://github.com/dirkschumacher/rcbc>. For background on multi-objective optimisati [...truncated...]
Author: Jose Salgado-Rojas [aut, cre] , Matias Moreno-Faguett [aut] , Nuria Aquilue [aut]
Maintainer: Jose Salgado-Rojas <jose.salgroj@gmail.com>

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Package kardl updated to version 1.3.1 with previous version 1.3.0 dated 2026-04-18

Title: Make Symmetric and Asymmetric ARDL Estimations
Description: Implements estimation procedures for Autoregressive Distributed Lag (ARDL) and Nonlinear ARDL (NARDL) models, which allow researchers to investigate both short- and long-run relationships in time series data under mixed orders of integration. The package supports simultaneous modeling of symmetric and asymmetric regressors, flexible treatment of short-run and long-run asymmetries, and automated equation handling. It includes several cointegration testing approaches such as the Pesaran-Shin-Smith F and t bounds tests, and narayan test. Methodological foundations are provided in Pesaran, Shin, and Smith (2001) <doi:10.1016/S0304-4076(01)00049-5> and Shin, Yu, and Greenwood-Nimmo (2014, ISBN:9780123855079).
Author: Huseyin Karamelikli [aut, cre] , Huseyin Utku Demir [aut]
Maintainer: Huseyin Karamelikli <hakperest@gmail.com>

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Package fect updated to version 2.4.1 with previous version 2.2.0 dated 2026-03-27

Title: Fixed Effects Counterfactual Estimators
Description: Provides tools for estimating causal effects in panel data using counterfactual methods, as well as other modern DID estimators. It is designed for causal panel analysis with binary treatments under the parallel trends assumption. The package supports scenarios where treatments can switch on and off and allows for limited carryover effects. It includes several imputation estimators, such as Gsynth (Xu 2017), linear factor models, and the matrix completion method. Detailed methodology is described in Liu, Wang, and Xu (2024) <doi:10.48550/arXiv.2107.00856> and Chiu et al. (2025) <doi:10.48550/arXiv.2309.15983>. Optionally integrates with the "HonestDiDFEct" package for sensitivity analyses compatible with imputation estimators. "HonestDiDFEct" is not on CRAN but can be obtained from <https://github.com/lzy318/HonestDiDFEct>.
Author: Licheng Liu [aut], Ziyi Liu [aut], Ye Wang [aut], Yiqing Xu [aut, cre], Tianzhu Qin [aut], Shiyun Hu [aut], Rivka Lipkovitz [aut]
Maintainer: Yiqing Xu <yiqingxu@stanford.edu>

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Package dynamicpv updated to version 0.4.2 with previous version 0.4.1 dated 2026-01-15

Title: Evaluates Present Values and Health Economic Models with Dynamic Pricing and Uptake
Description: The goal of 'dynamicpv' is to provide a simple way to calculate (net) present values and outputs from health economic models (especially cost-effectiveness and budget impact) in discrete time that reflect dynamic pricing and dynamic uptake. Dynamic pricing is also known as life cycle pricing; dynamic uptake is also known as multiple or stacked cohorts, or dynamic disease prevalence. Shafrin (2024) <doi:10.1515/fhep-2024-0014> provides an explanation of dynamic value elements, in the context of Generalized Cost Effectiveness Analysis, and Puls (2024) <doi:10.1016/j.jval.2024.03.006> reviews challenges of incorporating such dynamic value elements. This package aims to reduce those challenges.
Author: Dominic Muston [aut, cre] , John Blischak [ctb] , Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph, fnd]
Maintainer: Dominic Muston <dom.muston@gmail.com>

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Package camtrapR readmission to version 3.0.4 with previous version 3.0.3 dated 2026-02-08

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

This is a re-admission after prior archival of version 3.0.3 dated 2026-02-08

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Package BIGDAWG readmission to version 3.1.0 with previous version 3.0.3 dated 2021-11-17

Title: Case-Cotrol Analysis of Multi-Allelic Loci
Description: Data sets and functions for chi-squared Hardy-Weinberg and case-control association tests of highly polymorphic genetic data [e.g., human leukocyte antigen (HLA) data]. Performs association tests at multiple levels of polymorphism (haplotype, locus and HLA amino-acids) as described in Pappas DJ, Marin W, Hollenbach JA, Mack SJ (2016) <doi:10.1016/j.humimm.2015.12.006>. Combines rare variants to a common class to account for sparse cells in tables as described by Hollenbach JA, Mack SJ, Thomson G, Gourraud PA (2012) <doi:10.1007/978-1-61779-842-9_14>.
Author: Derek Pappas [aut], Livia Tran [aut], Steve Mack [aut, cre], Jill Hollenbach [aut]
Maintainer: Steve Mack <Steven.Mack@ucsf.edu>

This is a re-admission after prior archival of version 3.0.3 dated 2021-11-17

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Package altmeta updated to version 4.3.1 with previous version 4.3 dated 2025-10-13

Title: Alternative Meta-Analysis Methods
Description: Provides alternative statistical methods for meta-analysis, including: - bivariate generalized linear mixed models for synthesizing odds ratios, relative risks, and risk differences (Chu et al., 2012 <doi:10.1177/0962280210393712>) - tests and measures for between-study heterogeneity (Lin et al., 2017 <doi:10.1111/biom.12543>; Wang et al., 2022 <doi:10.1002/sim.9261>; Yu et al., 2025 <doi:10.1186/s12874-025-02719-7>); - measures, tests, and visualization tools for publication bias or small-study effects (Lin and Chu, 2018 <doi:10.1111/biom.12817>; Lin, 2019 <doi:10.1002/jrsm.1340>; Lin, 2020 <doi:10.1177/0962280220910172>; Shi et al., 2020 <doi:10.1002/jrsm.1415>); - meta-analysis of combining standardized mean differences and odds ratios (Jing et al., 2023 <doi:10.1080/10543406.2022.2105345>); - meta-analysis of diagnostic tests for synthesizing sensitivities, specificities, etc. (Reitsma et al., 2005 <doi:10.1016/j.jclinepi.200 [...truncated...]
Author: Lifeng Lin [aut, cre] , Yaqi Jing [ctb], Kristine J. Rosenberger [ctb], Linyu Shi [ctb], Yipeng Wang [ctb], Xing Xing [ctb] , Zhiyuan Yu [ctb], Haitao Chu [aut]
Maintainer: Lifeng Lin <lifenglin@arizona.edu>

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Package pqrBayes updated to version 1.2.2 with previous version 1.2.1 dated 2026-03-14

Title: Bayesian Penalized Quantile Regression
Description: Bayesian regularized quantile regression utilizing two major classes of shrinkage priors (the spike-and-slab priors and the horseshoe family of priors) leads to efficient Bayesian shrinkage estimation, variable selection and valid statistical inference. In this package, we have implemented robust Bayesian variable selection with spike-and-slab priors under high-dimensional linear regression models (Fan et al. (2024) <doi:10.3390/e26090794> and Ren et al. (2023) <doi:10.1111/biom.13670>), and regularized quantile varying coefficient models (Zhou et al.(2023) <doi:10.1016/j.csda.2023.107808>). In particular, valid robust Bayesian inferences under both models in the presence of heavy-tailed errors can be validated on finite samples. Additional models with spike-and-slab priors include robust Bayesian group LASSO and robust binary Bayesian LASSO (Fan and Wu (2025) <doi:10.1002/sta4.70078>). Besides, robust sparse Bayesian regression with the horseshoe family of (hor [...truncated...]
Author: Kun Fan [aut], Cen Wu [aut, cre], Jie Ren [aut], Xiaoxi Li [aut], Fei Zhou [aut]
Maintainer: Cen Wu <wucen@ksu.edu>

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Package neuromapr updated to version 0.2.2 with previous version 0.2.1 dated 2026-02-27

Title: Spatial Null Models and Transforms for Brain Map Comparison
Description: Implements spatial null models and coordinate-space transformations for statistical comparison of brain maps, following the framework described in Markello et al. (2022) <doi:10.1038/s41592-022-01625-w>. Provides variogram-matching surrogates (Burt et al. 2020), Moran spectral randomization (Wagner & Dray 2015), and spin-based permutation tests (Alexander-Bloch et al. 2018). Includes an R interface to the 'neuromaps' annotation registry for browsing, downloading, and comparing brain map annotations from the Open Science Framework ('OSF'). Integrates with 'ciftiTools' for coordinate-space transforms.
Author: Athanasia Mo Mowinckel [aut, cre, cph]
Maintainer: Athanasia Mo Mowinckel <a.m.mowinckel@psykologi.uio.no>

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Package missPLS updated to version 0.2.1 with previous version 0.2.0 dated 2026-04-13

Title: Methods and Reproducible Workflows for Partial Least Squares with Missing Data
Description: Methods-first tooling for reproducing and extending the partial least squares regression studies on incomplete data described in Nengsih et al. (2019) <doi:10.1515/sagmb-2018-0059>. The package provides simulation helpers, missingness generators, imputation wrappers, component-selection utilities, real-data diagnostics, and reproducible study orchestration for Nonlinear Iterative Partial Least Squares (NIPALS)-Partial Least Squares (PLS) workflows.
Author: Titin Agustin Nengsih [aut], Frederic Bertrand [aut, cre], Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

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Package GreedyExperimentalDesign updated to version 1.6.1 with previous version 1.6 dated 2026-01-09

Title: Greedy Experimental Design Construction
Description: Computes experimental designs for two-arm experiments with covariates using multiple methods, including: (0) complete randomization and randomization with forced-balance; (1) greedy optimization of a balance objective function via pairwise switching; (2) numerical optimization via 'gurobi'; (3) rerandomization; (4) Karp's method for one covariate; (5) exhaustive enumeration for small sample sizes; (6) binary pair matching using 'nbpMatching'; (7) binary pair matching plus method (1) to further optimize balance; (8) binary pair matching plus method (3) to further optimize balance; (9) Hadamard designs; and (10) simultaneous multiple kernels. For the greedy, rerandomization, and related methods, three objective functions are supported: Mahalanobis distance, standardized sums of absolute differences, and kernel distances via the 'kernlab' library. This package is the result of a stream of research that can be found in Krieger, A. M., Azriel, D. A., and Kapelner, A. (2019). "Nearly Random [...truncated...]
Author: Adam Kapelner [aut, cre] , David Azriel [aut], Abba Krieger [aut]
Maintainer: Adam Kapelner <kapelner@qc.cuny.edu>

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Package devtools updated to version 2.5.2 with previous version 2.5.1 dated 2026-04-16

Title: Tools to Make Developing R Packages Easier
Description: Collection of package development tools.
Author: Hadley Wickham [aut], Jim Hester [aut], Winston Chang [aut], Jennifer Bryan [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Jennifer Bryan <jenny@posit.co>

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Package brainGraph updated to version 3.1.2 with previous version 3.1.1 dated 2025-10-16

Title: Graph Theory Analysis of Brain MRI Data
Description: A set of tools for performing graph theory analysis of brain MRI data. It works with data from a Freesurfer analysis (cortical thickness, volumes, local gyrification index, surface area), diffusion tensor tractography data (e.g., from FSL) and resting-state fMRI data (e.g., from DPABI). It contains a graphical user interface for graph visualization and data exploration, along with several functions for generating useful figures.
Author: Christopher G. Watson [aut, cre]
Maintainer: Christopher G. Watson <cgwatson@bu.edu>

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Package BIEN updated to version 1.2.8 with previous version 1.2.7 dated 2025-01-31

Title: Tools for Accessing the Botanical Information and Ecology Network Database
Description: Provides Tools for Accessing the Botanical Information and Ecology Network Database. The BIEN database contains cleaned and standardized botanical data including occurrence, trait, plot and taxonomic data (See <https://bien.nceas.ucsb.edu/bien/> for more Information). This package provides functions that query the BIEN database by constructing and executing optimized SQL queries.
Author: Brian Maitner [aut, cre]
Maintainer: Brian Maitner <bmaitner@gmail.com>

Diff between BIEN versions 1.2.7 dated 2025-01-31 and 1.2.8 dated 2026-04-30

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More information about BIEN at CRAN
Permanent link

Package sensobol updated to version 1.1.9 with previous version 1.1.8 dated 2026-04-05

Title: Computation of Variance-Based Sensitivity Indices
Description: It allows to rapidly compute, bootstrap and plot up to fourth-order Sobol'-based sensitivity indices using several state-of-the-art first and total-order estimators. Sobol' indices can be computed either for models that yield a scalar as a model output or for systems of differential equations. The package also provides a suit of benchmark tests functions and several options to obtain publication-ready figures of the model output uncertainty and sensitivity-related analysis. An overview of the package can be found in Puy et al. (2022) <doi:10.18637/jss.v102.i05>.
Author: Arnald Puy [aut, cre] , Bertrand Ioos [ctb] , Gilles Pujol [ctb] , RStudio [cph]
Maintainer: Arnald Puy <arnald.puy@pm.me>

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Package modsem updated to version 1.0.19 with previous version 1.0.18 dated 2026-03-28

Title: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)
Description: Estimation of interaction (i.e., moderation) effects between latent variables in structural equation models (SEM). The supported methods are: The constrained approach (Algina & Moulder, 2001). The unconstrained approach (Marsh et al., 2004). The residual centering approach (Little et al., 2006). The double centering approach (Lin et al., 2010). The latent moderated structural equations (LMS) approach (Klein & Moosbrugger, 2000). The quasi-maximum likelihood (QML) approach (Klein & Muthén, 2007) The constrained- unconstrained, residual- and double centering- approaches are estimated via 'lavaan' (Rosseel, 2012), whilst the LMS- and QML- approaches are estimated via 'modsem' it self. Alternatively model can be estimated via 'Mplus' (Muthén & Muthén, 1998-2017). References: Algina, J., & Moulder, B. C. (2001). <doi:10.1207/S15328007SEM0801_3>. "A note on estimating the Jöreskog-Yang model for latent variable interaction using 'LISREL' 8.3." Klein, A., & Moosb [...truncated...]
Author: Kjell Solem Slupphaug [aut, cre] , Mehmet Mehmetoglu [ctb] , Matthias Mittner [ctb]
Maintainer: Kjell Solem Slupphaug <slupphaugkjell@gmail.com>

Diff between modsem versions 1.0.18 dated 2026-03-28 and 1.0.19 dated 2026-04-30

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Package KRLS updated to version 1.1-0 with previous version 1.0-0 dated 2017-07-10

Title: Kernel-Based Regularized Least Squares
Description: Implements Kernel-based Regularized Least Squares (KRLS), a machine learning method to fit multidimensional functions y = f(x) for regression and classification problems without relying on linearity or additivity assumptions. KRLS finds the best fitting function by minimizing the squared loss of a Tikhonov regularization problem, using Gaussian kernels as radial basis functions. For further details see Hainmueller and Hazlett (2014, <doi:10.1093/pan/mpt019>).
Author: Jens Hainmueller [aut, cre], Chad Hazlett [aut]
Maintainer: Jens Hainmueller <jhain@stanford.edu>

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Package fabletools updated to version 0.7.0 with previous version 0.6.1 dated 2026-02-16

Title: Core Tools for Packages in the 'fable' Framework
Description: Provides tools, helpers and data structures for developing models and time series functions for 'fable' and extension packages. These tools support a consistent and tidy interface for time series modelling and analysis.
Author: Mitchell O'Hara-Wild [aut, cre] , Rob Hyndman [aut], Earo Wang [aut] , Di Cook [ctb], George Athanasopoulos [ctb], David Holt [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package EFAtools updated to version 0.7.0 with previous version 0.6.1 dated 2025-07-30

Title: Fast and Flexible Implementations of Exploratory Factor Analysis Tools
Description: Provides functions to perform exploratory factor analysis (EFA) procedures and compare their solutions. The goal is to provide state-of-the-art factor retention methods and a high degree of flexibility in the EFA procedures. This way, for example, implementations from R 'psych' and 'SPSS' can be compared. Moreover, functions for Schmid-Leiman transformation and the computation of omegas are provided. To speed up the analyses, some of the iterative procedures, like principal axis factoring (PAF), are implemented in C++.
Author: Markus Steiner [aut, cre], Silvia Grieder [aut], William Revelle [ctb], Max Auerswald [ctb], Morten Moshagen [ctb], John Ruscio [ctb], Brendan Roche [ctb], Urbano Lorenzo-Seva [ctb], David Navarro-Gonzalez [ctb], Johan Braeken [ctb], Andreas Soteriad [...truncated...]
Maintainer: Markus Steiner <markus.d.steiner@gmail.com>

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Package Directional updated to version 7.5 with previous version 7.4 dated 2026-03-11

Title: A Collection of Functions for Directional Data Analysis
Description: A collection of functions for directional data (including massive data, with millions of observations) analysis. Hypothesis testing, discriminant and regression analysis, MLE of distributions and more are included. The standard textbook for such data is the "Directional Statistics" by Mardia, K. V. and Jupp, P. E. (2000). Other references include: a) Paine J.P., Preston S.P., Tsagris M. and Wood A.T.A. (2018). "An elliptically symmetric angular Gaussian distribution". Statistics and Computing 28(3): 689-697. <doi:10.1007/s11222-017-9756-4>. b) Tsagris M. and Alenazi A. (2019). "Comparison of discriminant analysis methods on the sphere". Communications in Statistics: Case Studies, Data Analysis and Applications 5(4):467--491. <doi:10.1080/23737484.2019.1684854>. c) Paine J.P., Preston S.P., Tsagris M. and Wood A.T.A. (2020). "Spherical regression models with general covariates and anisotropic errors". Statistics and Computing 30(1): 153--165. <doi:10.1007/s11222-019-09872 [...truncated...]
Author: Michail Tsagris [aut, cre], Giorgos Athineou [aut], Christos Adam [aut], Zehao Yu [aut], Anamul Sajib [ctb], Eli Amson [ctb], Micah J. Waldstein [ctb], Panagiotis Papastamoulis [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between Directional versions 7.4 dated 2026-03-11 and 7.5 dated 2026-04-30

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Package aqp updated to version 2.3.2 with previous version 2.3.1 dated 2026-03-20

Title: Algorithms for Quantitative Pedology
Description: The Algorithms for Quantitative Pedology (AQP) project was started in 2009 to organize a loosely-related set of concepts and source code on the topic of soil profile visualization, aggregation, and classification into this package (aqp). Over the past 8 years, the project has grown into a suite of related R packages that enhance and simplify the quantitative analysis of soil profile data. Central to the AQP project is a new vocabulary of specialized functions and data structures that can accommodate the inherent complexity of soil profile information; freeing the scientist to focus on ideas rather than boilerplate data processing tasks <doi:10.1016/j.cageo.2012.10.020>. These functions and data structures have been extensively tested and documented, applied to projects involving hundreds of thousands of soil profiles, and deeply integrated into widely used tools such as SoilWeb <https://casoilresource.lawr.ucdavis.edu/soilweb-apps>. Components of the AQP project (aqp, soilD [...truncated...]
Author: Dylan Beaudette [aut, cre] , Pierre Roudier [aut, ctb], Andrew Brown [aut, ctb], Stephen Roecker [aut, ctb], David Rossiter [ctb]
Maintainer: Dylan Beaudette <dylan.beaudette@usda.gov>

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More information about aqp at CRAN
Permanent link

Wed, 29 Apr 2026

Package saros updated to version 1.6.2 with previous version 1.6.1 dated 2026-01-27

Title: Semi-Automatic Reporting of Ordinary Surveys
Description: Offers a systematic way for conditional reporting of figures and tables for many (and bivariate combinations of) variables, typically from survey data. Contains interactive 'ggiraph'-based (<https://CRAN.R-project.org/package=ggiraph>) plotting functions and data frame-based summary tables (bivariate significance tests, frequencies/proportions, unique open ended responses, etc) with many arguments for customization, and extensions possible. Uses a global options() system for neatly reducing redundant code. Also contains tools for immediate saving of objects and returning a hashed link to the object, useful for creating download links to high resolution images upon rendering in 'Quarto'. Suitable for highly customized reports, primarily intended for survey research.
Author: Stephan Daus [aut, cre, cph] , Julia Silge [ctb] , David Robinson [ctb] , Nordic Institute for The Studies of Innovation, Research and Education [fnd], Kristiania University College [fnd]
Maintainer: Stephan Daus <stephus.daus@gmail.com>

Diff between saros versions 1.6.1 dated 2026-01-27 and 1.6.2 dated 2026-04-29

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 saros-1.6.1/saros/R/tabular_write.R                                                                              |only
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 saros-1.6.2/saros/DESCRIPTION                                                                                    |   16 
 saros-1.6.2/saros/MD5                                                                                            |  247 +++-
 saros-1.6.2/saros/NAMESPACE                                                                                      |   29 
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 saros-1.6.2/saros/R/colour.R                                                                                     |    2 
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 saros-1.6.2/saros/R/get_main_question.R                                                                          |    8 
 saros-1.6.2/saros/R/ggsaver.R                                                                                    |  127 ++
 saros-1.6.2/saros/R/girafe-utils.R                                                                               |  144 ++
 saros-1.6.2/saros/R/girafe.R                                                                                     |  114 --
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 saros-1.6.2/saros/R/make_content.int_table_html.R                                                                |    2 
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 saros-1.6.2/saros/R/make_link.R                                                                                  |   19 
 saros-1.6.2/saros/R/makeme.R                                                                                     |   20 
 saros-1.6.2/saros/R/makeme_helpers.R                                                                             |  376 ++-----
 saros-1.6.2/saros/R/n_rng.R                                                                                      |  129 ++
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 saros-1.6.2/saros/R/quarto_post_render.R                                                                         |only
 saros-1.6.2/saros/R/simple_desciptives.R                                                                         |    2 
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 saros-1.6.2/saros/R/summarize_cat_cat_data.R                                                                     |   50 -
 saros-1.6.2/saros/R/txt_from_cat_mesos_plots.R                                                                   |  164 ++-
 saros-1.6.2/saros/R/utils.R                                                                                      |  135 ++
 saros-1.6.2/saros/R/validate_makeme_options.R                                                                    |  111 --
 saros-1.6.2/saros/R/zzz.R                                                                                        |   15 
 saros-1.6.2/saros/inst/WORDLIST                                                                                  |   41 
 saros-1.6.2/saros/inst/doc/for_chapter_author.html                                                               |    2 
 saros-1.6.2/saros/inst/doc/for_developers.html                                                                   |    2 
 saros-1.6.2/saros/inst/doc/for_readers.html                                                                      |    2 
 saros-1.6.2/saros/inst/doc/saros_name.html                                                                       |    2 
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 saros-1.6.2/saros/man/girafe.Rd                                                                                  |    5 
 saros-1.6.2/saros/man/hex_bw.Rd                                                                                  |    2 
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 saros-1.6.2/saros/man/makeme.Rd                                                                                  |   16 
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 saros-1.6.2/saros/tests/testthat/test-get_main_question.R                                                        |   10 
 saros-1.6.2/saros/tests/testthat/test-girafe-custom-palette.R                                                    |   42 
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 saros-1.6.2/saros/tests/testthat/test-utils-ggsaver.R                                                            |  111 ++
 saros-1.6.2/saros/tests/testthat/test-utils-makeme_helpers.R                                                     |  209 ++++
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More information about saros at CRAN
Permanent link

Package ocs4R updated to version 0.3.1 with previous version 0.3 dated 2025-09-01

Title: Interface to Open Collaboration Services (OCS) REST API
Description: Provides an Interface to Open Collaboration Services 'OCS' (<https://www.open-collaboration-services.org/>) REST API.
Author: Emmanuel Blondel [aut, cre]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between ocs4R versions 0.3 dated 2025-09-01 and 0.3.1 dated 2026-04-29

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More information about ocs4R at CRAN
Permanent link

Package HVT updated to version 26.1.3 with previous version 26.1.2 dated 2026-02-05

Title: Constructing Hierarchical Voronoi Tessellations and Overlay Heatmaps for Data Analysis
Description: Facilitates building topology preserving maps for data analysis.
Author: Zubin Dowlaty [aut, cre], Mu Sigma, Inc. [cph]
Maintainer: Zubin Dowlaty <zubin.dowlaty@mu-sigma.com>

Diff between HVT versions 26.1.2 dated 2026-02-05 and 26.1.3 dated 2026-04-29

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More information about HVT at CRAN
Permanent link

Package FAfA updated to version 1.0 with previous version 0.5 dated 2025-12-15

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

Diff between FAfA versions 0.5 dated 2025-12-15 and 1.0 dated 2026-04-29

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Package splitGraph updated to version 0.2.0 with previous version 0.1.0 dated 2026-04-21

Title: Dataset Dependency Graphs for Leakage-Aware Evaluation
Description: Represent biomedical dataset structure as typed dependency graphs so that sample provenance, repeated-measure structure, study design, batch effects, and temporal relationships are explicit and inspectable. Validates dataset structure, detects sample-level overlap, derives deterministic split constraints, and produces a tool-agnostic split specification for leakage-aware evaluation workflows.
Author: Selcuk Korkmaz [aut, cre]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

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Package ggpicrust2 updated to version 2.5.14 with previous version 2.5.12 dated 2026-04-10

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>

Diff between ggpicrust2 versions 2.5.12 dated 2026-04-10 and 2.5.14 dated 2026-04-29

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Package bioLeak updated to version 0.3.7 with previous version 0.3.6 dated 2026-04-11

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 connectapi updated to version 0.12.1 with previous version 0.12.0 dated 2026-04-13

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 pequod readmission to version 0.1.1 with previous version 0.0-5 dated 2016-02-28

Title: Colour Palette for Reading and Code, Inspired by Moby-Dick
Description: The Pequod colour palette, named after the whaler in Herman Melville's Moby-Dick. Provides the full Log base scale from warm paper (Log 50) to deep ink (Log 950), eight crew accent hues with light and dark variants, and 'ggplot2' scales for discrete and continuous mapping. Designed for long-form reading and code, with low saturation and a consistent earth- pigment register. Full design rationale and accessibility notes at <https://tiagojct.eu/projects/pequod/>.
Author: Tiago Jacinto [aut, cre]
Maintainer: Tiago Jacinto <tiagojacinto@med.up.pt>

This is a re-admission after prior archival of version 0.0-5 dated 2016-02-28

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Package GVS updated to version 0.0.2 with previous version 0.0.1 dated 2024-12-05

Title: 'Geocoordinate Validation Service'
Description: The 'Geocoordinate Validation Service' (GVS) runs checks of coordinates in latitude/longitude format. It returns annotated coordinates with additional flags and metadata that can be used in data cleaning. Additionally, the package has functions related to attribution and metadata information. More information can be found at <https://github.com/ojalaquellueva/gvs/tree/master/api>.
Author: Brian Maitner [aut, cre] , Brad Boyle [aut], Rethvick Sriram Yugendra Babu [aut]
Maintainer: Brian Maitner <bmaitner@gmail.com>

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Package BinaryDosage readmission to version 2.0.0 with previous version 1.0.0 dated 2020-01-13

Title: Creates, Merges, and Reads Binary Dosage Files
Description: Tools to create binary dosage files from either VCF or GEN files, merge binary dosage files, and read binary dosage files. Binary dosage files tend to have quicker read times than VCF and GEN formats. There is a small increase in size compared to compressed VCF and GEN files.
Author: John Morrison [aut, cre], NCI [fnd] , NCI [fnd] , NIEHS [fnd] , NHLBI [fnd]
Maintainer: John Morrison <jmorr@usc.edu>

This is a re-admission after prior archival of version 1.0.0 dated 2020-01-13

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Package rdocdump updated to version 0.2.0 with previous version 0.1.1 dated 2025-08-21

Title: Dump 'R' Package Source, Documentation, and Vignettes into One File
Description: Dump source code, documentation and vignettes of an 'R' package into a single file. Supports installed packages, tar.gz archives, and package source directories. If the package is not installed, only its source is automatically downloaded from CRAN for processing. The output is a single plain text file or a character vector, which is useful to ingest complete package documentation and source into a large language model (LLM) or pass it further to other tools, such as 'ragnar' <https://github.com/tidyverse/ragnar> to create a Retrieval-Augmented Generation (RAG) workflow.
Author: Egor Kotov [aut, cre, cph]
Maintainer: Egor Kotov <kotov.egor@gmail.com>

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Package movecost updated to version 2.2 with previous version 2.1 dated 2024-02-12

Title: Calculation of Slope-Dependant Accumulated Cost Surface, Least-Cost Paths, Least-Cost Corridors, Least-Cost Networks Related to Human Movement Across the Landscape
Description: Provides the facility to calculate non-isotropic accumulated cost surface, least-cost paths, least-cost corridors, least-cost networks using a number of human-movement-related cost functions that can be selected by the user. It just requires a Digital Terrain Model, a start location and (optionally) destination locations. See Alberti (2019) <doi:10.1016/j.softx.2019.100331>.
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>

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Package CurricularComplexityData updated to version 0.2.0 with previous version 0.1.0 dated 2026-02-04

Title: Data for Exploring Curricular Complexity
Description: Provides 'igraph' objects representing engineering plans of study across multiple disciplines and institutions. The data are intended for use with the 'CurricularComplexity' package (Reeping, 2026) <doi:10.32614/CRAN.package.CurricularComplexity> to support analyses of curricular structure.
Author: David Reeping [aut, cre], Olivia Ryan [aut], Nahal Rashedi [ctb], Elliot Setser [ctb], Sushant Padhye [ctb], Autri Banerjee [ctb], Emily Hodge [ctb], Levi Smith [ctb]
Maintainer: David Reeping <reepindp@ucmail.uc.edu>

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Package cuda.ml updated to version 0.3.3 with previous version 0.3.2 dated 2022-01-07

Title: R Interface for the RAPIDS cuML Suite of Libraries
Description: R interface for RAPIDS cuML (<https://github.com/rapidsai/cuml>), a suite of GPU-accelerated machine learning libraries powered by CUDA (<https://en.wikipedia.org/wiki/CUDA>).
Author: Yitao Li [aut, cph] , Tomasz Kalinowski [aut, cre, cph], Daniel Falbel [aut, cph], RStudio [cph, fnd]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package seminrExtras updated to version 1.0.0 with previous version 0.9.0 dated 2026-01-29

Title: Conduct Additional Modeling and Analysis for 'seminr'
Description: Supplementary tools for evaluating and validating partial least squares structural equation models estimated with 'seminr'. Provides methods for predictive model assessment, importance-performance analysis with necessary condition testing, overfitting diagnostics, measurement model verification, mediator contribution analysis, unobserved heterogeneity detection via latent class and prediction-oriented segmentation, and congruence coefficient testing. All functions accept estimated 'seminr' model objects and return results with print, summary, and plot methods.
Author: Soumya Ray [aut, ths], Nicholas Patrick Danks [aut, cre]
Maintainer: Nicholas Patrick Danks <nicholasdanks@hotmail.com>

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Package NumericEnsembles updated to version 1.2 with previous version 1.0.5 dated 2026-03-01

Title: Automatically Runs 18 Individual and 14 Ensembles of Models
Description: Automatically runs 18 individual models and 14 ensembles on numeric data, for a total of 32 models. The package automatically returns complete results on all 32 models, 25 charts and six tables. The user simply provides the tidy data, and answers a few questions (for example, how many times would you like to resample the data). From there the package randomly splits the data into train, test and validation sets as the user requests (for example, train = 0.60, test = 0.20, validation = 0.20), fits each of models on the training data, makes predictions on the test and validation sets, measures root mean squared error (RMSE), removes features above a user-set level of Variance Inflation Factor, and has several optional features including scaling all numeric data, four different ways to handle strings in the data. Perhaps the most significant feature is the package's ability to make predictions using the 32 pre trained models on totally new (untrained) data if the user selects that feature [...truncated...]
Author: Russ Conte [aut, cre, cph]
Maintainer: Russ Conte <russconte@mac.com>

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Package neuroimaGene updated to version 0.1.4 with previous version 0.1.3 dated 2026-04-25

Title: Transcriptomic Atlas of Neuroimaging Derived Phenotypes
Description: Contains functions to query and visualize the Neuroimaging features associated with genetically regulated gene expression (GReX). The primary utility, neuroimaGene(), relies on a list of user-defined genes and returns a table of neuroimaging features (NIDPs) associated with each gene. This resource is designed to assist in the interpretation of genome-wide and transcriptome-wide association studies that evaluate brain related traits. Bledsoe (2024) <doi:10.1016/j.ajhg.2024.06.002>. In addition there are several visualization functions that generate summary plots and 2-dimensional visualizations of regional brain measures. Mowinckel (2020).
Author: Xavier Bledsoe [aut, cre] , Eric Gamazon [aut]
Maintainer: Xavier Bledsoe <xbledsoe22@gmail.com>

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Package metadat updated to version 1.6-0 with previous version 1.4-0 dated 2025-02-04

Title: Meta-Analysis Datasets
Description: A collection of meta-analysis datasets for teaching purposes, illustrating/testing meta-analytic methods, and validating published analyses.
Author: Wolfgang Viechtbauer [aut, cre] , Thomas White [aut] , Daniel Noble [aut] , Alistair Senior [aut] , W. Kyle Hamilton [aut] , Guido Schwarzer [dtc] , Christian Roever [dtc]
Maintainer: Wolfgang Viechtbauer <wvb@metafor-project.org>

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Package enrichwith updated to version 0.5.0 with previous version 0.4.0 dated 2025-09-08

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

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Package date4ts updated to version 0.1.2 with previous version 0.1.1 dated 2026-02-01

Title: Wrangle and Modify Ts Object with Classic Frequencies and Exact Dates
Description: The ts objects in R are managed using a very specific date format (in the form c(2022, 9) for September 2022 or c(2021, 2) for the second quarter of 2021, depending on the frequency, for example). We focus solely on monthly and quarterly series to manage the dates of ts objects. The general idea is to offer a set of functions to manage this date format without it being too restrictive or too imprecise depending on the rounding. This is a compromise between simplicity, precision and use of the basic 'stats' functions for creating and managing time series (ts(), window()). Les objets ts en R sont gérés par un format de date très particulier (sous la forme c(2022, 9) pour septembre 2022 ou c(2021, 2) pour le deuxième trimestre 2021 selon la fréquence par exemple). On se concentre uniquement sur les séries mensuelles et trimestrielles pour gérer les dates des objets ts. Lidée générale est de proposer un ensemble de fonctions pour gérer ce format de date sans que ce soit trop contraignant o [...truncated...]
Author: Tanguy Barthelemy [aut, cre]
Maintainer: Tanguy Barthelemy <tangbarth@hotmail.fr>

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Package ConversationAlign readmission to version 0.4.1 with previous version 0.4.0 dated 2025-11-12

Title: Process Text and Compute Linguistic Alignment in Conversation Transcripts
Description: Imports conversation transcripts into R, concatenates them into a single dataframe appending event identifiers, cleans and formats the text, then yokes user-specified psycholinguistic database values to each word. 'ConversationAlign' then computes alignment indices between two interlocutors across each transcript for >40 possible semantic, lexical, and affective dimensions. In addition to alignment, 'ConversationAlign' also produces a table of analytics (e.g., token count, type-token-ratio) in a summary table describing your particular text corpus.
Author: Jamie Reilly [aut, cre] , Virginia Ulichney [aut], Ben Sacks [aut], Sarah Weinstein [ctb], Chelsea Helion [ctb], Gus Cooney [ctb]
Maintainer: Jamie Reilly <jamie_reilly@temple.edu>

This is a re-admission after prior archival of version 0.4.0 dated 2025-11-12

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Package blockr.dag updated to version 0.1.2 with previous version 0.1.0 dated 2025-12-18

Title: A Directed Acyclic Graph Extension for 'blockr'
Description: Building on the docking layout manager provided by 'blockr.dock', this provides an extension that allows for visualizing and manipulating a 'blockr' board using a DAG-based user interface powered by the 'g6R' graph visualisation HTML widget.
Author: David Granjon [aut, cre], Nicolas Bennett [aut], Christoph Sax [aut], Bristol Myers Squibb [fnd]
Maintainer: David Granjon <david@cynkra.com>

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Package brglm2 updated to version 1.1.0 with previous version 1.0.1 dated 2025-11-22

Title: Bias Reduction in Generalized Linear Models
Description: Estimation and inference from generalized linear models based on various methods for bias reduction and maximum penalized likelihood with powers of the Jeffreys prior as penalty. The 'brglmFit()' fitting method can achieve reduction of estimation bias by solving either the mean bias-reducing adjusted score equations in Firth (1993) <doi:10.1093/biomet/80.1.27> and Kosmidis and Firth (2009) <doi:10.1093/biomet/asp055>, or the median bias-reducing adjusted score equations in Kenne et al. (2017) <doi:10.1093/biomet/asx046>, or through the direct subtraction of an estimate of the bias of the maximum likelihood estimator from the maximum likelihood estimates as in Cordeiro and McCullagh (1991) <https://www.jstor.org/stable/2345592>. See Kosmidis et al (2020) <doi:10.1007/s11222-019-09860-6> for more details. Estimation in all cases takes place via a quasi Fisher scoring algorithm, and S3 methods for the construction of of confidence intervals for the reduced-bi [...truncated...]
Author: Ioannis Kosmidis [aut, cre] , Euloge Clovis Kenne Pagui [aut] , Federico Boiocchi [ctb], Philipp Sterzinger [ctb] , Kjell Konis [ctb], Nicola Sartori [ctb]
Maintainer: Ioannis Kosmidis <ioannis.kosmidis@warwick.ac.uk>

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Package alakazam updated to version 1.4.3 with previous version 1.4.2 dated 2025-12-16

Title: Immunoglobulin Clonal Lineage and Diversity Analysis
Description: Provides methods for high-throughput adaptive immune receptor repertoire sequencing (AIRR-Seq; Rep-Seq) analysis. In particular, immunoglobulin (Ig) sequence lineage reconstruction, lineage topology analysis, diversity profiling, amino acid property analysis and gene usage. Citations: Gupta and Vander Heiden, et al (2017) <doi:10.1093/bioinformatics/btv359>, Stern, Yaari and Vander Heiden, et al (2014) <doi:10.1126/scitranslmed.3008879>.
Author: Susanna Marquez [cre, aut], Namita Gupta [aut], Nima Nouri [aut], Ruoyi Jiang [aut], Julian Zhou [aut], Kenneth Hoehn [aut], Daniel Gadala-Maria [ctb], Edel Aron [ctb], Cole Jensen [aut], Gisela Gabernet [ctb], Caroline Sullivan [ctb], Hailong Meng [ [...truncated...]
Maintainer: Susanna Marquez <susanna.marquez@yale.edu>

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Package wrProteo updated to version 2.0.2 with previous version 2.0.0.2 dated 2026-03-11

Title: Proteomics Data Analysis Functions
Description: Data analysis of proteomics experiments by mass spectrometry is supported by this collection of functions mostly dedicated to the analysis of (bottom-up) quantitative (XIC) data. Fasta-formatted proteomes (eg from UniProt Consortium <doi:10.1093/nar/gky1049>) can be read with automatic parsing and multiple annotation types (like species origin, abbreviated gene names, etc) extracted. Initial results from multiple software for protein (and peptide) quantitation can be imported (to a common format): MaxQuant (Tyanova et al 2016 <doi:10.1038/nprot.2016.136>), Dia-NN (Demichev et al 2020 <doi:10.1038/s41592-019-0638-x>), Fragpipe (da Veiga et al 2020 <doi:10.1038/s41592-020-0912-y>), ionbot (Degroeve et al 2021 <doi:10.1101/2021.07.02.450686>), MassChroq (Valot et al 2011 <doi:10.1002/pmic.201100120>), OpenMS (Strauss et al 2021 <doi:10.1038/nmeth.3959>), ProteomeDiscoverer (Orsburn 2021 <doi:10.3390/proteomes9010015>), Proline (Bouyssie et a [...truncated...]
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

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Package densratio updated to version 0.3.1 with previous version 0.2.1 dated 2019-06-30

Title: Density Ratio Estimation
Description: Density ratio estimation. The estimated density ratio function can be used in many applications such as anomaly detection, change-point detection, covariate shift adaptation. The implemented methods are uLSIF (Hido et al. (2011) <doi:10.1007/s10115-010-0283-2>), RuLSIF (Yamada et al. (2011) <doi:10.1162/NECO_a_00442>), and KLIEP (Sugiyama et al. (2007) <doi:10.1007/s10463-008-0197-x>).
Author: Koji Makiyama [aut, cre]
Maintainer: Koji Makiyama <hoxo.smile@gmail.com>

Diff between densratio versions 0.2.1 dated 2019-06-30 and 0.3.1 dated 2026-04-29

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Package blockr.dock updated to version 0.1.1 with previous version 0.1.0 dated 2025-12-11

Title: A Docking Layout Manager for 'blockr'
Description: Building on the docking layout manager provided by 'dockViewR', this provides a flexible front-end to 'blockr.core'. It provides an extension mechanism which allows for providing means to manipulate a board object via panel-based user interface components.
Author: Nicolas Bennett [aut, cre], David Granjon [aut]
Maintainer: Nicolas Bennett <nicolas@cynkra.com>

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Package glmmrBase updated to version 1.4.0 with previous version 1.3.0 dated 2026-03-31

Title: Generalised Linear Mixed Models in R
Description: Specification, analysis, simulation, and fitting of generalised linear mixed models. Includes Markov Chain Monte Carlo Maximum likelihood model fitting for a range of models, non-linear fixed effect specifications, a wide range of flexible covariance functions that can be combined arbitrarily, robust and bias-corrected standard error estimation, power calculation, data simulation, and more.
Author: Sam Watson [aut, cre]
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>

Diff between glmmrBase versions 1.3.0 dated 2026-03-31 and 1.4.0 dated 2026-04-29

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Package autoFC readmission to version 0.2.0.1010 with previous version 0.2.0.1002 dated 2025-03-13

Title: Automatic Construction of Forced-Choice Tests
Description: Forced-choice (FC) response has gained increasing popularity and interest for its resistance to faking when well-designed (Cao & Drasgow, 2019 <doi:10.1037/apl0000414>). To established well-designed FC scales, typically each item within a block should measure different trait and have similar level of social desirability (Zhang et al., 2020 <doi:10.1177/1094428119836486>). Recent study also suggests the importance of high inter-item agreement of social desirability between items within a block (Pavlov et al., 2021 <doi:10.31234/osf.io/hmnrc>). In addition to this, FC developers may also need to maximize factor loading differences (Brown & Maydeu-Olivares, 2011 <doi:10.1177/0013164410375112>) or minimize item location differences (Cao & Drasgow, 2019 <doi:10.1037/apl0000414>) depending on scoring models. Decision of which items should be assigned to the same block, termed item pairing, is thus critical to the quality of an FC test. This pairing p [...truncated...]
Author: Mengtong Li [cre, aut] , Tianjun Sun [aut] , Bo Zhang [aut]
Maintainer: Mengtong Li <mt_li@fudan.edu.cn>

This is a re-admission after prior archival of version 0.2.0.1002 dated 2025-03-13

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Package arrow updated to version 24.0.0 with previous version 23.0.1.2 dated 2026-03-25

Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.
Author: Neal Richardson [aut], Ian Cook [aut], Nic Crane [aut], Dewey Dunnington [aut] , Romain Francois [aut] , Jonathan Keane [aut, cre], Bryce Mecum [aut], Dragoș Moldovan-Gruenfeld [aut], Jeroen Ooms [aut], Jacob Wujciak-Jens [aut], Javier Luraschi [ctb], [...truncated...]
Maintainer: Jonathan Keane <jkeane@gmail.com>

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Package wrGraph updated to version 1.3.15 with previous version 1.3.13 dated 2026-03-16

Title: Graphics in the Context of Analyzing High-Throughput Data
Description: Additional options for making graphics in the context of analyzing high-throughput data are available here. This includes automatic segmenting of the current device (eg window) to accommodate multiple new plots, automatic checking for optimal location of legends in plots, small histograms to insert as legends, histograms re-transforming axis labels to linear when plotting log2-transformed data, a violin-plot <doi:10.1080/00031305.1998.10480559> function for a wide variety of input-formats, principal components analysis (PCA) <doi:10.1080/14786440109462720> with bag-plots <doi:10.1080/00031305.1999.10474494> to highlight and compare the center areas for groups of samples, generic MA-plots (differential- versus average-value plots) <doi:10.1093/nar/30.4.e15>, staggered count plots and generation of mouse-over interactive html pages.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

Diff between wrGraph versions 1.3.13 dated 2026-03-16 and 1.3.15 dated 2026-04-29

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 13 files changed, 669 insertions(+), 569 deletions(-)

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Package SFOCDs updated to version 1.2.0 with previous version 1.1.0 dated 2026-04-15

Title: Space Filling Optimal Covariate Designs
Description: We have designed this package to address experimental scenarios involving multiple covariates. It focuses on construction of Optimal Covariate Designs (OCDs), checking space filling property of the developed design. The primary objective of the package is to generate OCDs using four methods viz., M array method, Juxtapose method, Orthogonal Integer Array and Hadamard method. The package also evaluates space filling properties of both the base design and OCDs using the MaxPro criterion, providing a meaningful basis for comparison. In addition, it includes tool to visualize the spread offered by the design points in the form of scatterplot, which help users to assess distribution and coverage of design points.
Author: Neethu RS [aut, ctb], Cini Varghese [aut, ctb], Mohd Harun [aut, ctb], Anindita Datta [aut, ctb], Ashutosh Dalal [aut, ctb, cre]
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>

Diff between SFOCDs versions 1.1.0 dated 2026-04-15 and 1.2.0 dated 2026-04-29

 DESCRIPTION          |    7 ++--
 MD5                  |   18 ++++++-----
 NAMESPACE            |    1 
 R/HadamardOCDs.R     |    2 +
 R/JuxtaOCDs.R        |    3 +
 R/MOCDs.R            |   79 +++++++++++++++++++++++++++++++++++++--------------
 R/MaxDot.R           |    4 +-
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 11 files changed, 85 insertions(+), 35 deletions(-)

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Package rpcss readmission to version 0.1.1 with previous version 0.1.0 dated 2025-02-17

Title: Constitution of Core Collections by Principal Component Scoring Strategy
Description: Generate a Core Collection with Principal Component Scoring Strategy (PCSS) using qualitative and/or quantitative trait data according to Hamon and Noirot (1990) <https://www.documentation.ird.fr/hor/fdi:36506>, Noirot et al. (1996) <doi:10.2307/2527837> and Noirot et al. (2003) <https://www.documentation.ird.fr/hor/fdi:010031886>.
Author: J. Aravind [aut, cre] , Anju Mahendru Singh [aut] , ICAR-NBGPR [cph]
Maintainer: J. Aravind <j.aravind@icar.org.in>

This is a re-admission after prior archival of version 0.1.0 dated 2025-02-17

Diff between rpcss versions 0.1.0 dated 2025-02-17 and 0.1.1 dated 2026-04-29

 DESCRIPTION                          |   36 
 MD5                                  |   50 -
 NEWS.md                              |    5 
 R/biplot.pcss.core.R                 |  938 +++++++++++------------
 R/contrib.pcss.core.R                |  684 ++++++++---------
 R/coreplot.pcss.core.R               |  804 +++++++++++++-------
 R/generics.R                         |    2 
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 R/pcss.core.R                        | 1383 ++++++++++++++++++-----------------
 R/print.pcss.core.R                  |  101 +-
 R/screeplot.pcss.core.R              |  379 ++++-----
 R/subset.pcss.core.R                 |  457 +++++++----
 R/xtra.R                             |   88 +-
 README.md                            |  112 ++
 build/partial.rdb                    |binary
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 man/contrib.Rd                       |  158 +--
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 man/screeplot.pcss.core.Rd           |   77 +
 man/subset.pcss.core.Rd              |  100 +-
 26 files changed, 3104 insertions(+), 2585 deletions(-)

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Package ProFAST updated to version 1.8 with previous version 1.7 dated 2025-12-14

Title: Probabilistic Factor Analysis for Spatially-Aware Dimension Reduction
Description: Probabilistic factor analysis for spatially-aware dimension reduction across multi-section spatial transcriptomics data with millions of spatial locations. More details can be referred to Wei Liu, et al. (2023) <doi:10.1101/2023.07.11.548486>.
Author: Wei Liu [aut, cre], Xiao Zhang [aut], Jin Liu [aut]
Maintainer: Wei Liu <liuweideng@gmail.com>

Diff between ProFAST versions 1.7 dated 2025-12-14 and 1.8 dated 2026-04-29

 DESCRIPTION              |    8 ++++----
 MD5                      |   18 +++++++++---------
 NAMESPACE                |    2 +-
 R/iSCMEB.R               |    4 ++--
 README.md                |    2 ++
 inst/doc/CosMx.html      |    6 +++---
 inst/doc/FASTdlpfc.html  |    6 +++---
 inst/doc/FASTdlpfc2.html |    6 +++---
 inst/doc/FASTsimu.html   |    6 +++---
 inst/doc/pbmc3k.html     |    6 +++---
 10 files changed, 33 insertions(+), 31 deletions(-)

More information about ProFAST at CRAN
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