Sat, 14 Mar 2026

Package pqrBayes updated to version 1.2.1 with previous version 1.2.0 dated 2025-12-07

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 BayesDecon updated to version 0.1.6 with previous version 0.1.4 dated 2026-01-10

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

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Package TSQCA updated to version 1.3.2 with previous version 1.3.0 dated 2026-02-18

Title: Threshold Sweep Extensions for Qualitative Comparative Analysis
Description: Provides threshold sweep methods for Qualitative Comparative Analysis (QCA). Implements Condition Threshold Sweep-Single (CTS-S), Condition Threshold Sweep-Multiple (CTS-M), Outcome Threshold Sweep (OTS), and Dual Threshold Sweep (DTS) for systematic exploration of threshold calibration effects on crisp-set QCA results. These methods extend traditional robustness approaches by treating threshold variation as an exploratory tool for discovering causal structures. Also provides Fiss (2011) <doi:10.5465/amj.2011.60263120> core/peripheral condition classification via compute_fiss_core() and generate_fiss_chart(), enabling four-symbol configuration charts that distinguish core conditions (present in both parsimonious and intermediate solutions) from peripheral conditions (intermediate only). Built on top of the 'QCA' package by Dusa (2019) <doi:10.1007/978-3-319-75668-4>, with function arguments following 'QCA' conventions. Based on set-theoretic methods by Ragin (2008) <doi: [...truncated...]
Author: Yuki Toyoda [aut, cre], Japan Society for the Promotion of Science [fnd]
Maintainer: Yuki Toyoda <yuki.toyoda.ds@hosei.ac.jp>

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Package spicy updated to version 0.5.0 with previous version 0.4.2 dated 2026-03-05

Title: Descriptive Statistics and Data Management Tools
Description: Provides tools for early data exploration, variable inspection, and quick tabulation workflows in 'R'. Summarizes variable metadata, labels, classes, missing values, and representative values, with support for readable frequency tables, cross-tabulations, and APA-style reporting tables. Includes helpers for interactive codebooks, variable label extraction, clipboard export, and row-wise descriptive summaries. Designed to make initial data analysis 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 rtpcr updated to version 2.1.6 with previous version 2.1.5 dated 2026-02-24

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

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Package rMVP readmission to version 1.4.6 with previous version 1.4.5 dated 2025-07-23

Title: Memory-Efficient, Visualize-Enhanced, Parallel-Accelerated GWAS Tool
Description: A memory-efficient, visualize-enhanced, parallel-accelerated Genome-Wide Association Study (GWAS) tool. It can (1) effectively process large data, (2) rapidly evaluate population structure, (3) efficiently estimate variance components several algorithms, (4) implement parallel-accelerated association tests of markers three methods, (5) globally efficient design on GWAS process computing, (6) enhance visualization of related information. 'rMVP' contains three models GLM (Alkes Price (2006) <DOI:10.1038/ng1847>), MLM (Jianming Yu (2006) <DOI:10.1038/ng1702>) and FarmCPU (Xiaolei Liu (2016) <doi:10.1371/journal.pgen.1005767>); variance components estimation methods EMMAX (Hyunmin Kang (2008) <DOI:10.1534/genetics.107.080101>;), FaSTLMM (method: Christoph Lippert (2011) <DOI:10.1038/nmeth.1681>, R implementation from 'GAPIT2': You Tang and Xiaolei Liu (2016) <DOI:10.1371/journal.pone.0107684> and 'SUPER': Qishan Wang and Feng Tian (2014) <DOI:10.1371/ [...truncated...]
Author: Lilin Yin [aut], Haohao Zhang [aut], Zhenshuang Tang [aut], Jingya Xu [aut], Dong Yin [aut], Zhiwu Zhang [aut], Xiaohui Yuan [aut], Mengjin Zhu [aut], Shuhong Zhao [aut], Xinyun Li [aut], Qishan Wang [ctb], Feng Tian [ctb], Hyunmin Kang [ctb], Xiang [...truncated...]
Maintainer: Xiaolei Liu <xll198708@gmail.com>

This is a re-admission after prior archival of version 1.4.5 dated 2025-07-23

Diff between rMVP versions 1.4.5 dated 2025-07-23 and 1.4.6 dated 2026-03-14

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Package rmsBMA updated to version 0.1.2 with previous version 0.1.1 dated 2026-03-11

Title: Reduced Model Space Bayesian Model Averaging
Description: Implements Bayesian model averaging for settings with many candidate regressors relative to the available sample size, including cases where the number of regressors exceeds the number of observations. By restricting attention to models with at most M regressors, the package supports reduced model space inference, thereby preserving degrees of freedom for estimation. It provides posterior summaries, Extreme Bounds Analysis, model selection procedures, joint inclusion measures, and graphical tools for exploring model probabilities, model size distributions, and coefficient distributions. The methodological approach follows Doppelhofer and Weeks (2009) <doi:10.1002/jae.1046>.
Author: Krzysztof Beck [aut, cre]
Maintainer: Krzysztof Beck <beckkrzysztof@gmail.com>

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Package readSX readmission to version 0.8.8 with previous version 0.8.4 dated 2023-03-25

Title: Read 'SurveyXact' Data
Description: Imports data from the 'SurveyXact' commercial service <https://rambollxact.com>, adds variable labels, and converts value labels to factors in the same order as exported from 'SurveyXact'.
Author: Stephan Daus [aut, cre]
Maintainer: Stephan Daus <stephus.daus@gmail.com>

This is a re-admission after prior archival of version 0.8.4 dated 2023-03-25

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Package duckdb updated to version 1.5.0 with previous version 1.4.4 dated 2026-01-28

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

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Package devtools updated to version 2.5.0 with previous version 2.4.6 dated 2025-10-03

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 badp updated to version 0.4.0.1 with previous version 0.4.0 dated 2026-03-11

Title: Bayesian Averaging for Dynamic Panels
Description: Implements Bayesian model averaging for dynamic panels with weakly exogenous regressors as described in the paper by Moral-Benito (2013, <doi:10.1080/07350015.2013.818003>). The package provides functions to estimate dynamic panel data models and analyze the results of the estimation.
Author: Krzysztof Beck [aut], Piotr Cukier [aut], Marcin Dubel [aut, cre], Mariusz Szczepanczyk [aut], Mateusz Wyszynski [aut]
Maintainer: Marcin Dubel <marcindubel@gmail.com>

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Package ardlverse updated to version 1.1.3 with previous version 1.1.2 dated 2026-03-11

Title: Comprehensive ARDL: Panel, Bootstrap and Fourier Methods
Description: A unified framework for Autoregressive Distributed Lag (ARDL) modeling and cointegration analysis. Implements Panel ARDL with Pooled Mean Group (PMG), Mean Group (MG), and Dynamic Fixed Effects (DFE) estimators following Pesaran, Shin & Smith (1999) <doi:10.1002/jae.616>. Provides bootstrap-based bounds testing per Pesaran, Shin & Smith (2001) <doi:10.1002/jae.616>. Includes Quantile Nonlinear ARDL (QNARDL) combining distributional and asymmetric effects based on Shin, Yu & Greenwood-Nimmo (2014) <doi:10.1007/978-1-4899-8008-3_9>, and Fourier ARDL for modeling smooth structural breaks following Enders & Lee (2012) <doi:10.1016/j.econlet.2012.05.019>. Features include Augmented ARDL (AARDL) with deferred t and F tests, Multiple-Threshold NARDL for complex asymmetries, Rolling/Recursive ARDL for time-varying relationships, and Panel NARDL for nonlinear panel cointegration. All methods include comprehensive diagnostics, publication-ready outputs, an [...truncated...]
Author: Muhammad Abdullah Alkhalaf [aut, cre] , Merwan Roudane [ctb]
Maintainer: Muhammad Abdullah Alkhalaf <muhammedalkhalaf@gmail.com>

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Package stdbscan updated to version 0.2.0 with previous version 0.1.0 dated 2026-01-27

Title: Spatio-Temporal DBSCAN Clustering
Description: Implements the ST-DBSCAN (spatio-temporal density-based spatial clustering of applications with noise) clustering algorithm for detecting spatially and temporally dense regions in point data, with a fast C++ backend via 'Rcpp'. Birant and Kut (2007) <doi:10.1016/j.datak.2006.01.013>.
Author: Antoine Le Doeuff [aut, cre]
Maintainer: Antoine Le Doeuff <antoine.ldoeuff@gmail.com>

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Package zoomerjoin updated to version 0.2.3 with previous version 0.2.2 dated 2026-01-30

Title: Superlatively Fast Fuzzy Joins
Description: Empowers users to fuzzily-merge data frames with millions or tens of millions of rows in minutes with low memory usage. The package uses the locality sensitive hashing algorithms developed by Datar, Immorlica, Indyk and Mirrokni (2004) <doi:10.1145/997817.997857>, and Broder (1998) <doi:10.1109/SEQUEN.1997.666900> to avoid having to compare every pair of records in each dataset, resulting in fuzzy-merges that finish in linear time.
Author: Beniamino Green [aut, cre, cph], Etienne Bacher [ctb] , The authors of the dependency Rust crates [ctb, cph]
Maintainer: Beniamino Green <beniamino.green@yale.edu>

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Package resmush updated to version 1.0.0 with previous version 0.2.2 dated 2026-01-12

Title: Optimize and Compress Image Files with 'reSmush.it'
Description: Compress local and online images using the 'reSmush.it' API service <https://resmush.it/>.
Author: Diego Hernangomez [aut, cre, cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package glyparse updated to version 0.5.7 with previous version 0.5.6 dated 2026-02-24

Title: Parsing Glycan Structure Text Representations
Description: Provides functions to parse glycan structure text representations into 'glyrepr' glycan structures. Currently, it supports StrucGP-style, pGlyco-style, IUPAC-condensed, IUPAC-extended, IUPAC-short, WURCS, Linear Code, and GlycoCT format. It also provides an automatic parser to detect the format and parse the structure string.
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

Diff between glyparse versions 0.5.6 dated 2026-02-24 and 0.5.7 dated 2026-03-14

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Package vapour updated to version 0.16.0 with previous version 0.15.0 dated 2025-12-21

Title: Access to the 'Geospatial Data Abstraction Library' ('GDAL')
Description: Provides low-level access to 'GDAL' functionality. 'GDAL' is the 'Geospatial Data Abstraction Library' a translator for raster and vector geospatial data formats that presents a single raster abstract data model and single vector abstract data model to the calling application for all supported formats <https://gdal.org/>. This package is focussed on providing exactly and only what GDAL does, to enable developing further tools.
Author: Michael Sumner [aut, cre] , Simon Wotherspoon [ctb] , Mark Padgham [ctb] ), Edzer Pebesma [ctb] , Roger Bivand [ctb] , Jim Hester [ctb, cph] , Timothy Keitt [ctb] , Jeroen Ooms [ctb] , Dale Maschette [ctb] , Joseph Stachelek [ctb], Even Rouault [ctb] [...truncated...]
Maintainer: Michael Sumner <mdsumner@gmail.com>

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Package SIS updated to version 1.5 with previous version 0.8-8 dated 2020-01-27

Title: Sure Independence Screening
Description: Variable selection techniques are essential tools for model selection and estimation in high-dimensional statistical models. Through this publicly available package, we provide a unified environment to carry out variable selection using iterative sure independence screening (SIS) (Fan and Lv (2008)<doi:10.1111/j.1467-9868.2008.00674.x>) and all of its variants in generalized linear models (Fan and Song (2009)<doi:10.1214/10-AOS798>) and the Cox proportional hazards model (Fan, Feng and Wu (2010)<doi:10.1214/10-IMSCOLL606>).
Author: Yang Feng [aut, cre], Jianqing Fan [aut], Diego Franco Saldana [aut], Yichao Wu [aut], Richard Samworth [aut], Arce Domingo Relloso [aut]
Maintainer: Yang Feng <yangfengstat@gmail.com>

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Package NameNeedle updated to version 1.2.10 with previous version 1.2.8 dated 2025-04-08

Title: Using Needleman-Wunsch to Match Sample Names
Description: The Needleman-Wunsch global alignment algorithm can be used to find approximate matches between sample names in different data sets. See Wang et al. (2010) <doi:10.4137/CIN.S5613>.
Author: Kevin R. Coombes [aut, cre]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package macro updated to version 0.1.6 with previous version 0.1.5 dated 2025-11-26

Title: A Macro Language for 'R' Programs
Description: A macro language for 'R' programs, which provides a macro facility similar to 'SAS®'. This package contains basic macro capabilities like defining macro variables, executing conditional logic, and defining macro functions.
Author: David Bosak [aut, cre], Bill Huang [ctb], Duong Tran [ctb]
Maintainer: David Bosak <dbosak01@gmail.com>

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Package geomorph updated to version 4.1.0 with previous version 4.0.10 dated 2025-02-05

Title: Geometric Morphometric Analyses of 2D and 3D Landmark Data
Description: Read and manipulate landmark data, generate shape variables via Procrustes analysis for points, curves and surfaces, perform shape analyses, and provide graphical depictions of shapes and patterns of shape variation.
Author: Dean Adams [aut, cre], Michael Collyer [aut], Antigoni Kaliontzopoulou [aut], Erica Baken [aut]
Maintainer: Dean Adams <dcadams@iastate.edu>

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Permanent link

Package future updated to version 1.70.0 with previous version 1.69.0 dated 2026-01-16

Title: Unified Parallel and Distributed Processing in R for Everyone
Description: The purpose of this package is to provide a lightweight and unified Future API for sequential and parallel processing of R expression via futures. The simplest way to evaluate an expression in parallel is to use `x %<-% { expression }` with `plan(multisession)`. This package implements sequential, multicore, multisession, and cluster futures. With these, R expressions can be evaluated on the local machine, in parallel a set of local machines, or distributed on a mix of local and remote machines. Extensions to this package implement additional backends for processing futures via compute cluster schedulers, etc. Because of its unified API, there is no need to modify any code in order switch from sequential on the local machine to, say, distributed processing on a remote compute cluster. Another strength of this package is that global variables and functions are automatically identified and exported as needed, making it straightforward to tweak existing code to make use of futures.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Fri, 13 Mar 2026

Package photobiologyInOut updated to version 0.4.33 with previous version 0.4.32 dated 2025-09-24

Title: Read Spectral and Logged Data from Foreign Files
Description: Functions for reading, and in some cases writing, foreign files containing spectral data from spectrometers and their associated software, output from daylight simulation models in common use, and some spectral data repositories. As well as functions for exchange of spectral data with other R packages. Part of the 'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] , Titta K. Kotilainen [ctb] , Glenn Davis [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package naijR updated to version 0.7.0 with previous version 0.6.3 dated 2025-09-01

Title: Operations to Ease Data Analyses Specific to Nigeria
Description: A set of convenience functions as well as geographical/political data about Nigeria, aimed at simplifying work with data and information that are specific to the country.
Author: Victor Ordu [aut, cre] , Laura DeCicco [ctb], Emily Riederer [rev], Margaret Siple [rev], Cagri Alican [rev]
Maintainer: Victor Ordu <victorordu@outlook.com>

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Package whisper updated to version 0.3.0 with previous version 0.1.0 dated 2026-02-06

Title: Native R 'torch' Implementation of 'OpenAI' 'Whisper'
Description: Speech-to-text transcription using a native R 'torch' implementation of 'OpenAI' 'Whisper' model <https://github.com/openai/whisper>. Supports multiple model sizes from tiny (39M parameters) to large-v3 (1.5B parameters) with integrated download from 'HuggingFace' <https://huggingface.co/> via the 'hfhub' package. Provides automatic speech recognition with optional language detection and translation to English. Audio preprocessing, mel spectrogram computation, and transformer-based encoder-decoder inference are all implemented in R using the 'torch' package.
Author: Troy Hernandez [aut, cre], cornball.ai [cph], OpenAI [cph] )
Maintainer: Troy Hernandez <troy@cornball.ai>

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Package trtswitch updated to version 0.2.5 with previous version 0.2.4 dated 2026-02-12

Title: Treatment Switching
Description: Implements rank preserving structural failure time model (RPSFTM), iterative parameter estimation (IPE), inverse probability of censoring weights (IPCW), marginal structural model (MSM), simple two-stage estimation (TSEsimp), and improved two-stage estimation with g-estimation (TSEgest) methods for treatment switching in randomized clinical trials.
Author: Kaifeng Lu [aut, cre]
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>

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Package photobiologySensors updated to version 0.5.3 with previous version 0.5.2 dated 2025-09-24

Title: Response Data for Light Sensors
Description: Spectral response data for broadband ultraviolet and visible radiation sensors. Angular response data for broadband ultraviolet and visible radiation sensors and diffusers used as entrance optics. Data obtained from multiple sources were used: author-supplied data from scientific research papers, sensor-manufacturer supplied data, and published sensor specifications. Part of the 'r4photobiology' suite Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package PriceIndices updated to version 0.2.9 with previous version 0.2.8 dated 2026-02-18

Title: Calculating Bilateral and Multilateral Price Indexes
Description: Preparing a scanner data set for price dynamics calculations (data selecting, data classification, data matching, data filtering). Computing bilateral and multilateral indexes. For details on these methods see: Diewert and Fox (2020) <doi:10.1080/07350015.2020.1816176>, Białek (2019) <doi:10.2478/jos-2019-0014> or Białek (2020) <doi:10.2478/jos-2020-0037>.
Author: Jacek Bialek [aut, cre]
Maintainer: Jacek Bialek <jacek.bialek@uni.lodz.pl>

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Package KSEAapp updated to version 2.0 with previous version 0.99.0 dated 2017-05-02

Title: Kinase-Substrate Enrichment Analysis
Description: Infers relative kinase activity from phosphoproteomics data using the method described by Casado et al. (2013) <doi:10.1126/scisignal.2003573>.
Author: Danica Wiredja [aut, cre]
Maintainer: Danica Wiredja <dwiredja@gmail.com>

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Package ggpedigree updated to version 1.1.1.0.0 with previous version 1.1.0.3 dated 2026-01-11

Title: Visualizing Pedigrees with 'ggplot2' and 'plotly'
Description: Provides plotting functions for visualizing pedigrees and family trees. The package complements a behavior genetics package 'BGmisc' [Garrison et al. (2024) <doi:10.21105/joss.06203>] by rendering pedigrees using the 'ggplot2' framework. Features include support for duplicated individuals, complex mating structures, integration with simulated pedigrees, and layout customization. Due to the impending deprecation of kinship2, version 1.0 incorporates the layout helper functions from kinship2. The pedigree alignment algorithms are adapted from 'kinship2' [Sinnwell et al. (2014) <doi:10.1159/000363105>]. We gratefully acknowledge the original authors: Jason Sinnwell, Terry Therneau, Daniel Schaid, and Elizabeth Atkinson for their foundational work.
Author: S. Mason Garrison [aut, cre, cph]
Maintainer: S. Mason Garrison <garrissm@wfu.edu>

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

Title: Scalable Causal Discovery and Model Selection on Mixed Datasets with 'rCausalMGM'
Description: Scalable methods for learning causal graphical models from mixed data, including continuous, discrete, and censored variables. The package implements CausalMGM, which combines a convex, score-based approach for learning an initial moralized graph with a producer-consumer scheme that enables efficient parallel conditional independence testing in constraint-based causal discovery algorithms. The implementation supports high-dimensional datasets and provides individual access to core components of the workflow, including MGM and the PC-Stable and FCI-Stable causal discovery algorithms. To support practical applications, the package includes multiple model selection strategies, including information criteria based on likelihood and model complexity, cross-validation for out-of-sample likelihood estimation, and stability-based approaches that assess graph robustness across subsamples.
Author: Tyler C Lovelace [aut], Max Dudek [aut], Jack Fiore [aut], Panayiotis V Benos [aut, cre]
Maintainer: Panayiotis V Benos <pbenos@ufl.edu>

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Package rpanel updated to version 1.1-6.1 with previous version 1.1-6 dated 2026-03-12

Title: Simple Interactive Controls for R using the 'tcltk' Package
Description: A set of functions to build simple GUI controls for R functions. These are built on the 'tcltk' package. Uses could include changing a parameter on a graph by animating it with a slider or a "doublebutton", up to more sophisticated control panels. Some functions for specific graphical tasks, referred to as 'cartoons', are provided.
Author: Adrian Bowman [aut, cre, cph], Ewan Crawford [aut], Gavin Alexander [aut], Richard Bowman [aut]
Maintainer: Adrian Bowman <adrian.bowman@glasgow.ac.uk>

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Package rintcal updated to version 1.4.0 with previous version 1.3.1 dated 2025-12-07

Title: Radiocarbon Calibration Curves
Description: The IntCal20 radiocarbon calibration curves (Reimer et al. 2020 <doi:10.1017/RDC.2020.68>) are provided as a data package, together with previous IntCal curves (IntCal13, IntCal09, IntCal04, IntCal98), other curves (e.g., NOTCal04 [van der Plicht et al. 2004], Arnold & Libby 1951, Stuiver & Suess 1966, Pearson & Stuiver 1986) and postbomb curves. Also provided are functions to copy the curves into memory, and to read, query and plot the data underlying the IntCal20 curves.
Author: Maarten Blaauw [aut, cre] , Christopher Bronk Ramsey [ctb]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package pvEBayes updated to version 0.2.2 with previous version 0.2.1 dated 2026-01-11

Title: Empirical Bayes Methods for Pharmacovigilance
Description: A suite of empirical Bayes methods to use in pharmacovigilance. Contains various model fitting and post-processing functions. For more details see Tan et al. (2025) <doi:10.48550/arXiv.2502.09816>, <doi:10.48550/arXiv.2512.01057>; Koenker and Mizera (2014) <doi:10.1080/01621459.2013.869224>; Efron (2016) <doi:10.1093/biomet/asv068>.
Author: Yihao Tan [aut, cre] , Marianthi Markatou [aut] , Saptarshi Chakraborty [aut] , Raktim Mukhopadhyay [aut]
Maintainer: Yihao Tan <yihaotan@buffalo.edu>

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Package partykit updated to version 1.2-27 with previous version 1.2-26 dated 2026-03-06

Title: A Toolkit for Recursive Partytioning
Description: A toolkit with infrastructure for representing, summarizing, and visualizing tree-structured regression and classification models. This unified infrastructure can be used for reading/coercing tree models from different sources ('rpart', 'RWeka', 'PMML') yielding objects that share functionality for print()/plot()/predict() methods. Furthermore, new and improved reimplementations of conditional inference trees (ctree()) and model-based recursive partitioning (mob()) from the 'party' package are provided based on the new infrastructure. A description of this package was published by Hothorn and Zeileis (2015) <https://jmlr.org/papers/v16/hothorn15a.html>.
Author: Torsten Hothorn [aut, cre] , Heidi Seibold [ctb] , Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package e2tree updated to version 1.0.0 with previous version 0.2.0 dated 2025-07-16

Title: Explainable Ensemble Trees
Description: The Explainable Ensemble Trees 'e2tree' approach has been proposed by Aria et al. (2024) <doi:10.1007/s00180-022-01312-6>. It aims to explain and interpret decision tree ensemble models using a single tree-like structure. 'e2tree' is a new way of explaining an ensemble tree trained through 'randomForest' or 'xgboost' packages.
Author: Massimo Aria [aut, cre, cph] , Agostino Gnasso [aut]
Maintainer: Massimo Aria <aria@unina.it>

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Package scaledescr updated to version 0.2.2 with previous version 0.2.1 dated 2026-03-06

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

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Package rmumps updated to version 5.2.1-41 with previous version 5.2.1-37 dated 2026-02-28

Title: Wrapper for MUMPS Library
Description: Some basic features of 'MUMPS' (Multifrontal Massively Parallel sparse direct Solver) are wrapped in a class whose methods can be used for sequentially solving a sparse linear system (symmetric or not) with one or many right hand sides (dense or sparse). There is a possibility to do separately symbolic analysis, LU (or LDL^t) factorization and system solving. Third part ordering libraries are included and can be used: 'PORD', 'METIS', 'SCOTCH'. 'MUMPS' method was first described in Amestoy et al. (2001) <doi:10.1137/S0895479899358194> and Amestoy et al. (2006) <doi:10.1016/j.parco.2005.07.004>.
Author: Serguei Sokol [aut, cre], Emmanuel Agullo [ctb], Patrick Amestoy [ctb, cph], Maurice Bremond [ctb], Alfredo Buttari [ctb], Philippe Combes [ctb], Marie Durand [ctb], Aurelia Fevre [ctb], Abdou Guermouche [ctb], Guillaume Joslin [ctb], Jacko Koster [c [...truncated...]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

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Package dbplot updated to version 0.4.0 with previous version 0.3.3 dated 2020-02-06

Title: Simplifies Plotting Data Inside Databases
Description: Leverages 'dplyr' to process the calculations of a plot inside a database. This package provides helper functions that abstract the work at three levels: outputs a 'ggplot', outputs the calculations, outputs the formula needed to calculate bins.
Author: Edgar Ruiz [aut, cre]
Maintainer: Edgar Ruiz <edgararuiz@gmail.com>

Diff between dbplot versions 0.3.3 dated 2020-02-06 and 0.4.0 dated 2026-03-13

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Package BGmisc updated to version 1.6.0.1 with previous version 1.5.2 dated 2026-01-11

Title: An R Package for Extended Behavior Genetics Analysis
Description: Provides functions for behavior genetics analysis, including variance component model identification [Hunter et al. (2021) <doi:10.1007/s10519-021-10055-x>], calculation of relatedness coefficients using path-tracing methods [Wright (1922) <doi:10.1086/279872>; McArdle & McDonald (1984) <doi:10.1111/j.2044-8317.1984.tb00802.x>], inference of relatedness, pedigree conversion, and simulation of multi-generational family data [Lyu et al. (2025) <doi:10.1007/s10519-025-10225-1>]. For a full overview, see [Garrison et al. (2024) <doi:10.21105/joss.06203>]. For a big data application see [Burt et al. (2025) <doi: 10.1016/j.ebiom.2025.105911>.
Author: S. Mason Garrison [aut, cre] , Michael D. Hunter [aut] , Xuanyu Lyu [aut] , Rachel N. Good [ctb], Jonathan D. Trattner [aut] , S. Alexandra Burt [aut]
Maintainer: S. Mason Garrison <garrissm@wfu.edu>

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Package laminr updated to version 1.3.0 with previous version 1.2.2 dated 2026-01-12

Title: Client for 'LaminDB'
Description: Interact with 'LaminDB'. 'LaminDB' is an open-source data framework for biology. This package allows you to query and download data from 'LaminDB' instances.
Author: Robrecht Cannoodt [aut, cre] , Luke Zappia [aut] , Data Intuitive [aut], Lamin Labs [aut, cph]
Maintainer: Robrecht Cannoodt <robrecht@lamin.ai>

Diff between laminr versions 1.2.2 dated 2026-01-12 and 1.3.0 dated 2026-03-13

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Package BMA updated to version 3.18.21 with previous version 3.18.20 dated 2025-01-11

Title: Bayesian Model Averaging
Description: Package for Bayesian model averaging and variable selection for linear models, generalized linear models and survival models (cox regression).
Author: Adrian Raftery [aut], Jennifer Hoeting [aut], Chris Volinsky [aut], Ian Painter [aut], Ka Yee Yeung [aut], Hana Sevcikova [cre]
Maintainer: Hana Sevcikova <hanas@uw.edu>

Diff between BMA versions 3.18.20 dated 2025-01-11 and 3.18.21 dated 2026-03-13

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New package xtbhst with initial version 1.0.1
Package: xtbhst
Title: Bootstrap Slope Heterogeneity Test for Panel Data
Version: 1.0.1
Description: Implements the bootstrap slope heterogeneity test for panel data based on Blomquist and Westerlund (2015) <doi:10.1007/s00181-015-0978-z>. Tests the null hypothesis that slope coefficients are homogeneous across cross-sectional units. Provides both standard and adjusted Delta statistics with bootstrap p-values. Supports partialling out of control variables and cross-sectional averages for dealing with cross-sectional dependence.
License: GPL-3
URL: https://github.com/muhammedalkhalaf/xtbhst
BugReports: https://github.com/muhammedalkhalaf/xtbhst/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, graphics, grDevices
Suggests: testthat (>= 3.0.0), plm
NeedsCompilation: no
Packaged: 2026-03-09 17:14:06 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph] , Tore Bersvendsen [ctb], Jan Ditzen [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-13 13:30:02 UTC

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Package RcppCNPy updated to version 0.2.15 with previous version 0.2.14 dated 2025-11-03

Title: Read-Write Support for 'NumPy' Files via 'Rcpp'
Description: The 'cnpy' library written by Carl Rogers provides read and write facilities for files created with (or for) the 'NumPy' extension for 'Python'. Vectors and matrices of numeric types can be read or written to and from files as well as compressed files. Support for integer files is available if the package has been built with as C++11 which should be the default on all platforms since the release of R 3.3.0.
Author: Dirk Eddelbuettel [aut, cre] , Wush Wu [aut] , Carl Rogers [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppCNPy versions 0.2.14 dated 2025-11-03 and 0.2.15 dated 2026-03-13

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New package S7schema with initial version 0.1.0
Package: S7schema
Title: 'S7' Framework for Schema-Validated YAML Configuration
Version: 0.1.0
Description: Provides a generic framework for working with YAML (YAML Ain't Markup Language) configuration files. Uses 'ajv' (Another JSON Schema Validator) via 'V8' to validate configurations against JSON Schema definitions. Configuration objects inherit from 'S7' classes and base lists, supporting downstream extension through custom classes and methods.
License: Apache License (>= 2)
URL: https://novonordisk-opensource.github.io/S7schema/, https://github.com/NovoNordisk-OpenSource/S7schema
BugReports: https://github.com/NovoNordisk-OpenSource/S7schema/issues
Depends: R (>= 4.1)
Imports: cli, rlang, S7, tools, V8, yaml (>= 2.3.8)
Suggests: jsonlite, knitr, purrr, rmarkdown, testthat (>= 3.0.0), tibble, tidyr, withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-09 14:53:12 UTC; oath
Author: Aksel Thomsen [aut, cre], Matthew Phelps [aut], Novo Nordisk A/S [cph], Evgeny Poberezkin [cph] , Python Software Foundation [cph] ), Vladimir Zapparov [cph] , Vincent Le Goff [cph] , Vsevolod Strukchinsky [cph]
Maintainer: Aksel Thomsen <oath@novonordisk.com>
Repository: CRAN
Date/Publication: 2026-03-13 13:10:21 UTC

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New package qardlr with initial version 1.0.1
Package: qardlr
Title: Quantile Autoregressive Distributed Lag Model
Version: 1.0.1
Date: 2026-03-07
Description: Implements the Quantile Autoregressive Distributed Lag (QARDL) model of Cho, Kim and Shin (2015) <doi:10.1016/j.jeconom.2015.01.003>. Estimates quantile-specific long-run (beta), short-run autoregressive (phi), and impact (gamma) parameters. Features include BIC-based automatic lag selection, Error Correction Model (ECM) parameterization, Wald tests for parameter constancy across quantiles, rolling/recursive QARDL estimation, Monte Carlo simulation, and publication-ready output tables.
License: GPL-3
URL: https://github.com/muhammedalkhalaf/qardlr
BugReports: https://github.com/muhammedalkhalaf/qardlr/issues
Depends: R (>= 3.5.0)
Imports: quantreg (>= 5.95), stats, MASS
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-09 13:37:40 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph] , Merwan Roudane [ctb] , Jin Seo Cho [ctb] , Tae-Hwan Kim [ctb] , Yongcheol Shin [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-13 13:10:02 UTC

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Package MultANOVA updated to version 1.1.0 with previous version 1.0.1 dated 2025-09-01

Title: Analysis of Designed High-Dimensional Data using the Comprehensive MultANOVA Framework
Description: A comprehensive and computationally fast framework to analyze high dimensional data associated with an experimental design based on Multiple ANOVAs (MultANOVA). It includes testing the overall significance of terms in the model, post-hoc analyses of significant terms and variable selection. Details may be found in Mahieu, B., & Cariou, V. (2025). MultANOVA Followed by Post Hoc Analyses for Designed High‐Dimensional Data: A Comprehensive Framework That Outperforms ASCA, rMANOVA, and VASCA. Journal of Chemometrics, 39(7). <doi:10.1002/cem.70039>.
Author: Benjamin Mahieu [aut, cre], Veronique Cariou [aut]
Maintainer: Benjamin Mahieu <benjamin.mahieu@oniris-nantes.fr>

Diff between MultANOVA versions 1.0.1 dated 2025-09-01 and 1.1.0 dated 2026-03-13

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New package inkaR with initial version 0.4.3
Package: inkaR
Title: Download and Analyze Spatial Development Data from INKAR
Version: 0.4.3
Description: A lightweight package to download spatial development indicators from the BBSR INKAR (Indikatoren und Karten zur Raum- und Stadtentwicklung) database. It provides a modern interface using 'httr2', robust caching, concurrent API querying for fast spatial dimension lookups, and native geospatial mapping integration.
URL: https://github.com/ofurkancoban/inkaR
BugReports: https://github.com/ofurkancoban/inkaR/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: httr2, jsonlite, tibble, dplyr, rlang, tidyr, utils
Suggests: readxl, testthat (>= 3.0.0), knitr, rmarkdown, sf, geodata, ggplot2, httptest2
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-03-09 14:18:21 UTC; ofurkancoban
Author: Omer Furkan Coban [aut, cre]
Maintainer: Omer Furkan Coban <oemer.furkan.coban@uni-oldenburg.de>
Repository: CRAN
Date/Publication: 2026-03-13 13:10:08 UTC

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New package hatemicoint with initial version 1.0.1
Package: hatemicoint
Title: Hatemi-J Cointegration Test with Two Unknown Regime Shifts
Version: 1.0.1
Description: Implements the Hatemi-J (2008) cointegration test which allows for two unknown structural breaks (regime shifts) in the cointegrating relationship. The test provides three test statistics: ADF* (Augmented Dickey-Fuller), Zt* (Phillips-Perron Z_t), and Za* (Phillips-Perron Z_alpha), along with endogenously determined break dates. Critical values are based on simulations from Hatemi-J (2008) <doi:10.1007/s00181-007-0175-9>.
License: GPL-3
URL: https://github.com/muhammedalkhalaf/hatemicoint
BugReports: https://github.com/muhammedalkhalaf/hatemicoint/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-03-09 17:14:09 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-13 13:30:08 UTC

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Package glasstabs updated to version 0.1.1 with previous version 0.1.0 dated 2026-03-11

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

Diff between glasstabs versions 0.1.0 dated 2026-03-11 and 0.1.1 dated 2026-03-13

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New package freebsdcontribs with initial version 0.1.0
Package: freebsdcontribs
Title: 'FreeBSD' Contributor and Commit Statistics
Version: 0.1.0
Description: Over 30 years of 'FreeBSD' commit activity and contributor growth. Includes daily commit counts and new committer data extracted from the cloned git repository (1993-2026), plus 'Phabricator' signup statistics (2013-2026). Contains no personal data -- only aggregated counts. Useful for time series analysis, growth modeling, and studying open source community dynamics.
License: CC0
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5.0)
URL: https://github.com/chrislongros/freebsdcontribs
BugReports: https://github.com/chrislongros/freebsdcontribs/issues
NeedsCompilation: no
Packaged: 2026-03-09 16:42:27 UTC; chris
Author: Christos Longros [aut, cre]
Maintainer: Christos Longros <chris.longros@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-13 13:30:19 UTC

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Package FoCo2 updated to version 0.1.3 with previous version 0.1.2 dated 2025-06-14

Title: Coherent Forecast Combination for Linearly Constrained Multiple Time Series
Description: Methods and tools designed to improve the forecast accuracy for a linearly constrained multiple time series, while fulfilling the linear/aggregation relationships linking the components (Girolimetto and Di Fonzo, 2024 <doi:10.48550/arXiv.2412.03429>). 'FoCo2' offers multi-task forecast combination and reconciliation approaches leveraging input from multiple forecasting models or experts and ensuring that the resulting forecasts satisfy specified linear constraints. In addition, linear inequality constraints (e.g., non-negativity of the forecasts) can be imposed, if needed.
Author: Daniele Girolimetto [aut, cre] , Tommaso Di Fonzo [aut]
Maintainer: Daniele Girolimetto <daniele.girolimetto@unipd.it>

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Package brokenstick readmission to version 2.7.0 with previous version 2.6.0 dated 2025-03-31

Title: Broken Stick Model for Irregular Longitudinal Data
Description: Data on multiple individuals through time are often sampled at times that differ between persons. Irregular observation times can severely complicate the statistical analysis of the data. The broken stick model approximates each subject’s trajectory by one or more connected line segments. The times at which segments connect (breakpoints) are identical for all subjects and under control of the user. A well-fitting broken stick model effectively transforms individual measurements made at irregular times into regular trajectories with common observation times. Specification of the model requires three variables: time, measurement and subject. The model is a special case of the linear mixed model, with time as a linear B-spline and subject as the grouping factor. The main assumptions are: subjects are exchangeable, trajectories between consecutive breakpoints are straight, random effects follow a multivariate normal distribution, and unobserved data are missing at random. The package conta [...truncated...]
Author: Stef van Buuren [aut, cre]
Maintainer: Stef van Buuren <stef.vanbuuren@tno.nl>

This is a re-admission after prior archival of version 2.6.0 dated 2025-03-31

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New package amp.dm with initial version 0.2.0
Package: amp.dm
Title: Data Management Tools for Pharmacometrics
Version: 0.2.0
Description: Tools and functions to efficiently create datasets used in pharmacometric analysis. Additional functionality is added to create documentation and prepare files for submission and quality control purposes.
Depends: R (>= 4.3.0)
License: GPL (>= 3)
URL: https://leidenadvancedpkpd.github.io/amp.dm/, https://github.com/LeidenAdvancedPKPD/amp.dm
BugReports: https://github.com/LeidenAdvancedPKPD/amp.dm/issues
Encoding: UTF-8
VignetteBuilder: quarto
Imports: tools, utils, stats, grDevices, cli, rlang, dplyr, vctrs, forcats, readxl, haven, fs, xtable
Suggests: ggplot2, patchwork, rstudioapi, knitr, R3port, testthat, quarto, tidyr
NeedsCompilation: no
Packaged: 2026-03-09 15:48:09 UTC; r.hooijmaijers
Author: Richard Hooijmaijers [aut, cre, cph], LAPP Consultants [fnd, cph]
Maintainer: Richard Hooijmaijers <richardhooijmaijers@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-13 13:20:02 UTC

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Package PCRA updated to version 1.2.1 with previous version 1.2 dated 2023-08-30

Title: Companion to Portfolio Construction and Risk Analysis
Description: A collection of functions and data sets that support teaching a quantitative finance MS level course on Portfolio Construction and Risk Analysis, and the writing of a textbook for such a course. The package provides several real-world data sets for problem assignments and student projects, including cross-sections of stock data from the Center for Research on Security Prices, LLC (CRSP), corresponding factor exposures from S&P Global, and several S&P 500 data sets.
Author: Doug Martin [cre, aut], Alexios Galanos [ctb], Kirk Li [aut, ctb], Jon Spinney [ctb], Thomas Philips [ctb]
Maintainer: Doug Martin <martinrd3d@gmail.com>

Diff between PCRA versions 1.2 dated 2023-08-30 and 1.2.1 dated 2026-03-13

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Package MBAnalysis updated to version 2.2.0 with previous version 2.1.1 dated 2025-10-08

Title: Multiblock Exploratory and Predictive Data Analysis
Description: Exploratory and predictive methods for the analysis of several blocks of variables measured on the same individuals.
Author: Benjamin Mahieu [aut, cre], Essomanda Tchandao Mangamana [aut], Evelyne Vigneau [aut], Veronique Cariou [aut]
Maintainer: Benjamin Mahieu <benjamin.mahieu@oniris-nantes.fr>

Diff between MBAnalysis versions 2.1.1 dated 2025-10-08 and 2.2.0 dated 2026-03-13

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Package ActiveDriverWGS readmission to version 1.2.1 with previous version 1.2.0 dated 2022-09-03

Title: A Driver Discovery Tool for Cancer Whole Genomes
Description: A method for finding enrichments of somatic single nucleotide variants (SNVs) and small insertions-deletions (Indels) in functional elements in the human genome. 'ActiveDriverWGS' detects coding and noncoding cancer driver elements using whole genome sequencing data. The method is part of the publication H. Zhu et al. (2020) <doi:10.1016/j.molcel.2019.12.027> "Candidate Cancer Driver Mutations in Distal Regulatory Elements and Long-Range Chromatin Interaction Networks" in Molecular Cell.
Author: Juri Reimand [aut, cre], Helen Zhu [ctb], Kevin Cheng [ctb]
Maintainer: Juri Reimand <juri.reimand@utoronto.ca>

This is a re-admission after prior archival of version 1.2.0 dated 2022-09-03

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Package tidylearn updated to version 0.1.1 with previous version 0.1.0 dated 2026-02-06

Title: A Unified Tidy Interface to R's Machine Learning Ecosystem
Description: Provides a unified tidyverse-compatible interface to R's machine learning packages. Wraps established implementations from 'glmnet', 'randomForest', 'xgboost', 'e1071', 'rpart', 'gbm', 'nnet', 'cluster', 'dbscan', and others - providing consistent function signatures, tidy tibble output, and unified 'ggplot2'-based visualization. The underlying algorithms are unchanged; 'tidylearn' simply makes them easier to use together. Access raw model objects via the $fit slot for package-specific functionality. Methods include random forests Breiman (2001) <doi:10.1023/A:1010933404324>, LASSO regression Tibshirani (1996) <doi:10.1111/j.2517-6161.1996.tb02080.x>, elastic net Zou and Hastie (2005) <doi:10.1111/j.1467-9868.2005.00503.x>, support vector machines Cortes and Vapnik (1995) <doi:10.1007/BF00994018>, and gradient boosting Friedman (2001) <doi:10.1214/aos/1013203451>.
Author: Cesaire Tobias [aut, cre]
Maintainer: Cesaire Tobias <cesaire@sheetsolved.com>

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Package FlyingR updated to version 0.2.3 with previous version 0.2.2 dated 2022-06-27

Title: Simulation of Bird Flight Range
Description: Functions for range estimation in birds based on Pennycuick (2008) and Pennycuick (1975), 'Flight' program which compliments Pennycuick (2008) requires manual entry of birds which can be tedious when there are hundreds of birds to estimate. Implemented are two ODE methods discussed in Pennycuick (1975) and time-marching computation methods as in Pennycuick (1998) and Pennycuick (2008). See Pennycuick (1975, ISBN:978-0-12-249405-5), Pennycuick (1998) <doi:10.1006/jtbi.1997.0572>, and Pennycuick (2008, ISBN:9780080557816).
Author: Brian Masinde [aut, cre], Krzysztof Bartoszek [ctb, ths]
Maintainer: Brian Masinde <masindeb@live.com>

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Package rMIDAS updated to version 1.0.1 with previous version 1.0.0 dated 2023-10-11

Title: Multiple Imputation with Denoising Autoencoders
Description: A tool for multiply imputing missing data using 'MIDAS', a deep learning method based on denoising autoencoder neural networks (see Lall and Robinson, 2022; <doi:10.1017/pan.2020.49>). This algorithm offers significant accuracy and efficiency advantages over other multiple imputation strategies, particularly when applied to large datasets with complex features. Alongside interfacing with 'Python' to run the core algorithm, this package contains functions for processing data before and after model training, running imputation model diagnostics, generating multiple completed datasets, and estimating regression models on these datasets. For more information see Lall and Robinson (2023) <doi:10.18637/jss.v107.i09>. This package is deprecated in favor of 'rMIDAS2'; it remains available for existing workflows but will receive only compatibility and documentation updates.
Author: Thomas Robinson [aut, cre, cph] , Ranjit Lall [aut, cph] , Alex Stenlake [ctb, cph], Elviss Dvinskis [ctb]
Maintainer: Thomas Robinson <ts.robinson1994@gmail.com>

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Package RBesT updated to version 1.9-0 with previous version 1.8-2 dated 2025-04-25

Title: R Bayesian Evidence Synthesis Tools
Description: Tool-set to support Bayesian evidence synthesis. This includes meta-analysis, (robust) prior derivation from historical data, operating characteristics and analysis (1 and 2 sample cases). Please refer to Weber et al. (2021) <doi:10.18637/jss.v100.i19> for details on applying this package while Neuenschwander et al. (2010) <doi:10.1177/1740774509356002> and Schmidli et al. (2014) <doi:10.1111/biom.12242> explain details on the methodology.
Author: Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Beat Neuenschwander [ctb], Heinz Schmidli [ctb], Baldur Magnusson [ctb], Yue Li [ctb], Satrajit Roychoudhury [ctb], Lukas A. Widmer [ctb] , Daniel Sabanes Bove [ctb] , Trustees of Columbia Univers [...truncated...]
Maintainer: Sebastian Weber <sebastian.weber@novartis.com>

Diff between RBesT versions 1.8-2 dated 2025-04-25 and 1.9-0 dated 2026-03-13

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Package miceadds updated to version 3.19-16 with previous version 3.18-36 dated 2025-09-12

Title: Some Additional Multiple Imputation Functions, Especially for 'mice'
Description: Contains functions for multiple imputation which complements existing functionality in R. In particular, several imputation methods for the mice package (van Buuren & Groothuis-Oudshoorn, 2011, <doi:10.18637/jss.v045.i03>) are implemented. Main features of the miceadds package include plausible value imputation (Mislevy, 1991, <doi:10.1007/BF02294457>), multilevel imputation for variables at any level or with any number of hierarchical and non-hierarchical levels (Grund, Luedtke & Robitzsch, 2018, <doi:10.1177/1094428117703686>; van Buuren, 2018, Ch.7, <doi:10.1201/9780429492259>), imputation using partial least squares (PLS) for high dimensional predictors (Robitzsch, Pham & Yanagida, 2016), nested multiple imputation (Rubin, 2003, <doi:10.1111/1467-9574.00217>), substantive model compatible imputation (Bartlett et al., 2015, <doi:10.1177/0962280214521348>), and features for the generation of synthetic datasets (Reiter, 2005, <doi:10. [...truncated...]
Author: Alexander Robitzsch [aut, cre] , Simon Grund [aut] , Thorsten Henke [ctb]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between miceadds versions 3.18-36 dated 2025-09-12 and 3.19-16 dated 2026-03-13

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Package metabook updated to version 0.2-0 with previous version 0.1-0 dated 2026-03-04

Title: Data Sets and Code for "Meta-Analysis with R"
Description: Data sets and code supporting the second edition of "Meta-Analysis with R"; first edition: Schwarzer, Carpenter, and Rücker (2015) <DOI:10.1007/978-3-319-21416-0>.
Author: Guido Schwarzer [cre, aut]
Maintainer: Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de>

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Package ILSAstats updated to version 0.4.4 with previous version 0.4.0 dated 2025-07-15

Title: Statistics for International Large-Scale Assessments (ILSA)
Description: Calculates point estimates and standard errors using replicate weights and plausible values for International Large-Scale Assessments (ILSA), including: means, proportions, quantiles, correlations, singlelevel regressions, and multilevel regressions.
Author: Andres Christiansen [aut, cre] , Andres Strello [ctb]
Maintainer: Andres Christiansen <andres.christiansen@iea-hamburg.de>

Diff between ILSAstats versions 0.4.0 dated 2025-07-15 and 0.4.4 dated 2026-03-13

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Package estimateW updated to version 0.2.0 with previous version 0.1.0 dated 2025-05-13

Title: Estimation of Spatial Weight Matrices
Description: Bayesian estimation of spatial weight matrices in spatial econometric panel models. Allows for estimation of spatial autoregressive (SAR), spatial error (SEM), spatial Durbin (SDM), spatial error Durbin (SDEM) and spatially lagged explanatory variable (SLX) type specifications featuring an unknown spatial weight matrix. Methodological details are given in Krisztin and Piribauer (2022) <doi:10.1080/17421772.2022.2095426>.
Author: Tamas Krisztin [aut, cre] , Philipp Piribauer [aut]
Maintainer: Tamas Krisztin <krisztin@iiasa.ac.at>

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Package xtdml updated to version 0.1.12 with previous version 0.1.11 dated 2025-12-11

Title: Double Machine Learning for Static Panel Models with Fixed Effects
Description: The 'xtdml' package implements partially linear panel regression (PLPR) models with high-dimensional confounding variables and an exogenous treatment variable within the double machine learning framework. The package is used to estimate the structural parameter (treatment effect) in static panel data models with fixed effects using the approaches established in Clarke and Polselli (2025) <doi:10.1093/ectj/utaf011>. 'xtdml' is built on the object-oriented package 'DoubleML' (Bach et al., 2024) <doi:10.18637/jss.v108.i03> using the 'mlr3' ecosystem.
Author: Annalivia Polselli [aut, cre]
Maintainer: Annalivia Polselli <apolselli.econ@gmail.com>

Diff between xtdml versions 0.1.11 dated 2025-12-11 and 0.1.12 dated 2026-03-13

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Package SlimR updated to version 1.1.2 with previous version 1.1.1 dated 2026-02-05

Title: Adaptive Machine Learning-Powered, Context-Matching Tool for Single-Cell and Spatial Transcriptomics Annotation
Description: Annotates single-cell and spatial-transcriptomic (ST) data using context-matching marker datasets. It creates a unified marker list (`Markers_list`) from multiple sources: built-in curated databases ('Cellmarker2', 'PanglaoDB', 'ScType', 'scIBD', 'TCellSI', 'PCTIT', 'PCTAM'), Seurat objects with cell labels, or user-provided Excel tables. SlimR first uses adaptive machine learning for parameter optimization, and then offers two automated annotation approaches: 'cluster-based' and 'per-cell'. Cluster-based annotation assigns one label per cluster, expression-based probability calculation, and AUC validation. Per-cell annotation assigns labels to individual cells using three scoring methods with adaptive thresholds and ratio-based confidence filtering, plus optional UMAP spatial smoothing, making it ideal for heterogeneous clusters and rare cell types. The package also supports semi-automated workflows with heatmaps, feature plots, and combined visualizations for manual annotation. For m [...truncated...]
Author: Zhaoqing Wang [aut, cre]
Maintainer: Zhaoqing Wang <zhaoqingwang@mail.sdu.edu.cn>

Diff between SlimR versions 1.1.1 dated 2026-02-05 and 1.1.2 dated 2026-03-13

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Package ResIN updated to version 2.3.1 with previous version 2.3.0 dated 2026-03-02

Title: Conduct Response Item Network (ResIN) Analysis with Social Response Data
Description: Contains various tools to estimate, analyze, and visualize Response Item Networks. 'ResIN' dummy-codes ordered and qualitative response choices from (survey) data, calculates pairwise associations and maps the location of each item response as a node in a force-directed network. Please refer to <https://www.resinmethod.net/> for more details.
Author: Philip Warncke [cre, aut], Dino Carpentras [aut], Adrian Lueders [aut]
Maintainer: Philip Warncke <philip.warncke@ul.ie>

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Package SAM updated to version 1.3 with previous version 1.2 dated 2026-02-19

Title: Sparse Additive Modelling
Description: Computationally efficient tools for high dimensional predictive modeling (regression and classification). SAM is short for sparse additive modeling, and adopts the computationally efficient basis spline technique. We solve the optimization problems by various computational algorithms including the block coordinate descent algorithm, fast iterative soft-thresholding algorithm, and newton method. The computation is further accelerated by warm-start and active-set tricks.
Author: Haoming Jiang [aut], Yukun Ma [aut], Han Liu [aut], Kathryn Roeder [aut], Xingguo Li [aut], Tuo Zhao [aut, cre]
Maintainer: Tuo Zhao <tourzhao@gatech.edu>

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Package cffr updated to version 1.3.0 with previous version 1.2.1 dated 2026-01-12

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>

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Package WaterBalanceR updated to version 0.1.21 with previous version 0.1.20 dated 2026-03-11

Title: Calculate High Resolution Water Balance of Starch Potatoes
Description: Calculates the water balance of starch potatoes from Normalized Distance Vegetation Index (NDVI) images, German Weather Service (DWD) reference evapotranspiration, German Weather Service RADOLAN precipitation data and irrigation information. For more details see Piernicke et al. (2025) <doi:10.3390/rs17183227>.
Author: Thomas Piernicke [aut, cre]
Maintainer: Thomas Piernicke <thomasp@gfz.de>

Diff between WaterBalanceR versions 0.1.20 dated 2026-03-11 and 0.1.21 dated 2026-03-13

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Package samc updated to version 4.2.1 with previous version 4.1.0 dated 2026-02-05

Title: Spatial Absorbing Markov Chains
Description: Implements functions for working with absorbing Markov chains. The implementation is based on the framework described in "Toward a unified framework for connectivity that disentangles movement and mortality in space and time" by Fletcher et al. (2019) <doi:10.1111/ele.13333>, which applies them to spatial ecology. This framework incorporates both resistance and absorption with spatial absorbing Markov chains (SAMC) to provide several short-term and long-term predictions for metrics related to connectivity in landscapes. Despite the ecological context of the framework, this package can be used in any application of absorbing Markov chains.
Author: Andrew Marx [aut, cre, cph] , Robert Fletcher [ctb] , Miguel Acevedo [ctb] , Jorge Sefair [ctb] , Chao Wang [ctb] , Hughes Josie [ctb] , Barrett Griffin [ctb]
Maintainer: Andrew Marx <ajm.rpackages@gmail.com>

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Package rsoi updated to version 0.5.8 with previous version 0.5.7 dated 2026-03-06

Title: Import Various Northern and Southern Hemisphere Climate Indices
Description: Downloads Southern Oscillation Index, Oceanic Nino Index, North Pacific Gyre Oscillation data, North Atlantic Oscillation and Arctic Oscillation. Data sources are described in the help files for each function.
Author: Sam Albers [aut, cre], Elio Campitelli [ctb]
Maintainer: Sam Albers <sam.albers@gmail.com>

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Package poLCAParallel readmission to version 1.2.7 with previous version 1.2.6 dated 2026-02-19

Title: Polytomous Variable Latent Class Analysis Parallel
Description: A 'C++' reimplementation of 'poLCA' - latent class analysis and latent class regression models for polytomous outcome variables, also known as latent structure analysis. It attempts to reproduce results and be as similar as possible to the original code, while running faster, especially with multiple repetitions, by utilising multiple threads. Further reading is available on the Queen Mary, University of London, IT Services Research blog <https://blog.hpc.qmul.ac.uk/speeding_up_r_packages/>.
Author: Sherman Lo [aut, cre], Drew Linzer [aut], Jeffrey Lewis. [aut]
Maintainer: Sherman Lo <s.lo@qmul.ac.uk>

This is a re-admission after prior archival of version 1.2.6 dated 2026-02-19

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Package nda updated to version 0.2.5 with previous version 0.2.4 dated 2025-02-16

Title: Generalized Network-Based Dimensionality Reduction and Analysis
Description: Non-parametric dimensionality reduction function. Reduction with and without feature selection. Plot functions. Automated feature selections. Kosztyan et. al. (2024) <doi:10.1016/j.eswa.2023.121779>.
Author: Zsolt T. Kosztyan [aut, cre], Marcell T. Kurbucz [aut], Attila I. Katona [aut], Zahid Khan [aut]
Maintainer: Zsolt T. Kosztyan <kosztyan.zsolt@gtk.uni-pannon.hu>

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Package LOST updated to version 2.1.3 with previous version 2.1.2 dated 2025-01-27

Title: Missing Morphometric Data Simulation and Estimation
Description: Functions for simulating missing morphometric data randomly, with taxonomic bias and with anatomical bias. LOST also includes functions for estimating linear and geometric morphometric data.
Author: J. Arbour [aut, cre], C. Brown [aut]
Maintainer: J. Arbour <jessica.arbour@mtsu.edu>

Diff between LOST versions 2.1.2 dated 2025-01-27 and 2.1.3 dated 2026-03-13

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Package ipumsr updated to version 0.10.0 with previous version 0.9.0 dated 2025-06-04

Title: An R Interface for Downloading, Reading, and Handling IPUMS Data
Description: An easy way to work with census, survey, and geographic data provided by IPUMS in R. Generate and download data through the IPUMS API and load IPUMS files into R with their associated metadata to make analysis easier. IPUMS data describing 1.4 billion individuals drawn from over 750 censuses and surveys is available free of charge from the IPUMS website <https://www.ipums.org>.
Author: Greg Freedman Ellis [aut], Derek Burk [aut, cre], Finn Roberts [aut], Joe Grover [ctb], Dan Ehrlich [ctb], Renae Rodgers [ctb], Institute for Social Research and Data Innovation [cph]
Maintainer: Derek Burk <ipums+cran@umn.edu>

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Package haplo.stats updated to version 1.9.8.3 with previous version 1.9.8.2 dated 2026-02-13

Title: Statistical Analysis of Haplotypes with Traits and Covariates when Linkage Phase is Ambiguous
Description: Routines for the analysis of indirectly measured haplotypes. The statistical methods assume that all subjects are unrelated and that haplotypes are ambiguous (due to unknown linkage phase of the genetic markers). The main functions are: haplo.em(), haplo.glm(), haplo.score(), and haplo.power(); all of which have detailed examples in the vignette.
Author: Schaid Daniel [aut], Jason P. Sinnwell [aut, cre]
Maintainer: Jason P. Sinnwell <sinnwell.jason@mayo.edu>

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Package globals updated to version 0.19.1 with previous version 0.19.0 dated 2026-02-02

Title: Identify Global Objects in R Expressions
Description: Identifies global ("unknown" or "free") objects in R expressions by code inspection using various strategies (ordered, liberal, conservative, or deep-first search). The objective of this package is to make it as simple as possible to identify global objects for the purpose of exporting them in parallel, distributed compute environments.
Author: Henrik Bengtsson [aut, cre, cph], Davis Vaughan [ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package fastqq updated to version 0.1.4 with previous version 0.1.3 dated 2022-10-25

Title: Faster Generation of Quantile Quantile Plots with Large Samples
Description: New and faster implementations for quantile quantile plots. The package also includes a function to prune data for quantile quantile plots. This can drastically reduce the running time for large samples, for 100 million samples, you can expect a factor 80X speedup.
Author: Gudmundur Einarsson [aut, cre], Hafsteinn Einarsson [aut]
Maintainer: Gudmundur Einarsson <gudmundur.einarsson.phd@gmail.com>

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Package apollo updated to version 0.3.7 with previous version 0.3.6 dated 2025-09-19

Title: Tools for Choice Model Estimation and Application
Description: Choice models are a widely used technique across numerous scientific disciplines. The Apollo package is a very flexible tool for the estimation and application of choice models in R. Users are able to write their own model functions or use a mix of already available ones. Random heterogeneity, both continuous and discrete and at the level of individuals and choices, can be incorporated for all models. There is support for both standalone models and hybrid model structures. Both classical and Bayesian estimation is available, and multiple discrete continuous models are covered in addition to discrete choice. Multi-threading processing is supported for estimation and a large number of pre and post-estimation routines, including for computing posterior (individual-level) distributions are available. For examples, a manual, and a support forum, visit <https://www.ApolloChoiceModelling.com>. For more information on choice models see Train, K. (2009) <isbn:978-0-521-74738-7> and [...truncated...]
Author: Stephane Hess [aut, cre], David Palma [aut], Thomas Hancock [ctb]
Maintainer: Stephane Hess <S.Hess@leeds.ac.uk>

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Package N2R (with last version 1.0.4) was removed from CRAN

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

2026-03-06 1.0.4
2024-02-26 1.0.2
2024-02-26 1.0.3
2022-01-18 1.0.1
2021-11-19 1.0.0
2020-12-14 0.1.1
2020-09-29 0.1.0

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Package pagoda2 (with last version 1.0.14) was removed from CRAN

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

2026-03-08 1.0.14
2025-08-18 1.0.13
2024-02-26 1.0.12
2023-08-08 1.0.11
2022-04-19 1.0.10
2022-03-02 1.0.9
2021-12-12 1.0.8
2021-11-15 1.0.7
2021-10-06 1.0.6
2021-08-11 1.0.5
2021-06-29 1.0.4
2021-05-03 1.0.3
2021-03-04 1.0.2
2021-02-23 1.0.1
2021-01-28 1.0.0

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Package conos (with last version 1.5.2) was removed from CRAN

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

2024-02-26 1.5.2
2024-01-23 1.5.1
2022-10-17 1.5.0
2022-09-30 1.4.9
2022-09-26 1.4.8
2022-09-04 1.4.7
2022-04-11 1.4.6
2022-01-21 1.4.5
2021-11-08 1.4.4
2021-08-07 1.4.3
2021-06-29 1.4.2
2021-05-15 1.4.1
2021-02-23 1.4.0

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Package orbital updated to version 0.5.1 with previous version 0.5.0 dated 2026-02-27

Title: Predict with 'tidymodels' Workflows in Databases
Description: Turn 'tidymodels' workflows into objects containing the sufficient sequential equations to perform predictions. These smaller objects allow for low dependency prediction locally or directly in databases.
Author: Emil Hvitfeldt [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

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Package multilevel updated to version 2.8 with previous version 2.7.1 dated 2025-09-08

Title: Multilevel Functions
Description: Tools used by organizational researchers for the analysis of multilevel data. Includes four broad sets of tools. First, functions for estimating within-group agreement and reliability indices. Second, functions for manipulating multilevel and longitudinal (panel) data. Third, simulations for estimating power and generating multilevel data. Fourth, miscellaneous functions for estimating reliability and performing simple calculations and data transformations.
Author: Paul Bliese [aut, cre], Gilad Chen [ctb], Patrick Downes [ctb], Patrick Flynn [ctb], Jonas Lang [ctb], Donald Schepker [ctb]
Maintainer: Paul Bliese <pdbliese@gmail.com>

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Package igoR updated to version 1.0.1 with previous version 1.0.0 dated 2026-01-17

Title: Intergovernmental Organizations Database
Description: Tools to extract information from the Intergovernmental Organizations ('IGO') Database (v3), provided by the Correlates of War Project <https://correlatesofwar.org/>. See also Pevehouse, J. C. et al. (2020) <doi:10.1177/0022343319881175>.
Author: Diego Hernangomez [aut, cre, cph] , The Correlates of War Project [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package gctsc updated to version 0.2.0 with previous version 0.1.3 dated 2025-12-17

Title: Gaussian and Student-t Copula Models for Count Time Series
Description: Provides likelihood-based inference for Gaussian and Student-t copula models for univariate count time series. Supports Poisson, negative binomial, binomial, beta-binomial, and zero-inflated marginals with ARMA dependence structures. Includes simulation, maximum-likelihood estimation, residual diagnostics, and predictive inference. Implements Time Series Minimax Exponential Tilting (TMET) <doi:10.1016/j.csda.2026.108344>, an adaptation of minimax exponential tilting of Botev (2017) <doi:10.1111/rssb.12162>. Also provides a linear-cost implementation of the Geweke–Hajivassiliou–Keane (GHK) simulator following Masarotto and Varin (2012) <doi:10.1214/12-EJS721>, and the Continuous Extension (CE) approximation of Nguyen and De Oliveira (2025) <doi:10.1080/02664763.2025.2498502>. The package follows the S3 design philosophy of 'gcmr' but is developed independently.
Author: Quynh Nguyen [aut, cre], Victor De Oliveira [aut]
Maintainer: Quynh Nguyen <nqnhu2209@gmail.com>

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Package DebiasInfer updated to version 0.2.1 with previous version 0.2 dated 2023-10-09

Title: Efficient Inference on High-Dimensional Linear Model with Missing Outcomes
Description: A statistically and computationally efficient debiasing method for conducting valid inference on the high-dimensional linear regression function with missing outcomes. The reference paper is Zhang, Giessing, and Chen (2023) <doi:10.48550/arXiv.2309.06429>.
Author: Yikun Zhang [aut, cre] , Alexander Giessing [aut] , Yen-Chi Chen [aut]
Maintainer: Yikun Zhang <yikunzhang@foxmail.com>

Diff between DebiasInfer versions 0.2 dated 2023-10-09 and 0.2.1 dated 2026-03-13

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Thu, 12 Mar 2026

New package xtcspqardl with initial version 1.0.2
Package: xtcspqardl
Title: Cross-Sectionally Augmented Panel Quantile ARDL
Version: 1.0.2
Date: 2026-03-09
Description: Implements the Cross-Sectionally Augmented Panel Quantile Autoregressive Distributed Lag (CS-PQARDL) model and the Quantile Common Correlated Effects Mean Group (QCCEMG) estimator for panel data with cross-sectional dependence. The package handles unobserved common factors through cross-sectional averages following Pesaran (2006) <doi:10.1111/j.1468-0262.2006.00692.x> and Chudik and Pesaran (2015) <doi:10.1016/j.jeconom.2015.03.007>. Quantile regression for dynamic panels follows Harding, Lamarche, and Pesaran (2018) <doi:10.1016/j.jeconom.2018.07.010>. The ARDL approach to cointegration testing is based on Pesaran, Shin, and Smith (2001) <doi:10.1002/jae.616>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: quantreg (>= 5.97), stats
Suggests: testthat (>= 3.0.0)
URL: https://github.com/muhammedalkhalaf/xtcspqardl
BugReports: https://github.com/muhammedalkhalaf/xtcspqardl/issues
NeedsCompilation: no
Packaged: 2026-03-09 04:19:28 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph] , Merwan Roudane [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 20:20:02 UTC

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New package caustests with initial version 1.0.2
Package: caustests
Title: Multiple Granger Causality Tests
Version: 1.0.2
Description: Comprehensive suite of Granger causality tests including standard Toda-Yamamoto (1995) <doi:10.1016/0304-4076(94)01616-8>, Fourier-based tests with single frequency (Enders and Jones, 2016) <doi:10.1515/snde-2014-0101> and cumulative frequencies (Nazlioglu et al., 2019) <doi:10.1080/1540496X.2018.1434072>, as well as quantile causality tests (Cai et al., 2023) <doi:10.1016/j.frl.2023.104327> and Bootstrap Fourier Granger Causality in Quantiles (Cheng et al., 2021) <doi:10.1007/s12076-020-00263-0>. All tests include bootstrap inference for robust p-values.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: stats, quantreg
Suggests: testthat (>= 3.0.0)
URL: https://github.com/muhammedalkhalaf/caustests
BugReports: https://github.com/muhammedalkhalaf/caustests/issues
NeedsCompilation: no
Packaged: 2026-03-09 12:46:07 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph] , Merwan Roudane [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 20:10:03 UTC

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New package voucher with initial version 1.0.2
Package: voucher
Title: 'Trustdown' Interface for R
Version: 1.0.2
Description: A R interface to the 'vouch' project (<https://github.com/mitchellh/vouch>), which bills itself as "a community trust management system based on explicit vouches to participate". 'vouch' is a 'Nushell' module, so 'voucher' provides a R application programming interface (API) to modify the 'VOUCHED.td' database without 'Nushell'. 'voucher' does not depend on 'vouch' or 'Nushell'.
License: GPL (>= 3)
URL: https://github.com/VisruthSK/voucher, https://voucher.visruth.com/
Depends: R (>= 4.1.0)
Imports: cli, fs
Suggests: spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-09 05:54:33 UTC; visru
Author: Visruth Srimath Kandali [aut, cre, cph]
Maintainer: Visruth Srimath Kandali <public@visruth.com>
Repository: CRAN
Date/Publication: 2026-03-12 19:40:02 UTC

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New package ThinkingGrid with initial version 0.1.0
Package: ThinkingGrid
Title: Thinking Grid Statistics
Version: 0.1.0
Depends: R (>= 3.5.0)
Description: Provides comprehensive tools for conducting research using the Thinking Grid framework, a psychological measurement approach for understanding the stream of thought. Includes functions for generating Qualtrics surveys with the thinking grid, processing survey responses, calculating quadrant depths, and creating various visualization types including heatmaps, animations, and statistical plots. See Irving, Z. C., Murray, S., Kuvar, V., Urena, M., and Mills, C. (2025) "Consciousness, Just in Time: Fluctuations in the Stream of Consciousness during Tasks and Rest" (manuscript under review, draft available from zci7c@virginia.edu).
URL: https://a-kulkarn.github.io/qualtrics-thinkgrid/
BugReports: https://github.com/a-kulkarn/qualtrics-thinkgrid/issues
Imports: colorspace, cowplot, ggplot2, gifski, grid, gridExtra, methods, reticulate (>= 1.45), scales, stats, utils
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: png, testthat (>= 3.0.0), vdiffr, lme4, knitr, rmarkdown, sjPlot
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-06 06:27:38 UTC; f004584
Author: Avinash Kulkarni [aut, cre, cph], Vishal Kuvar [aut] , Zac Irving [ctb, fnd]
Maintainer: Avinash Kulkarni <avi.kulkarni.2.71@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 19:20:02 UTC

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New package SigBridgeRUtils with initial version 0.2.6
Package: SigBridgeRUtils
Title: Some Utilities & Base Supports for 'SigBridgeR'
Version: 0.2.6
Description: Provides fundamental function support for 'SigBridgeR' and its single-cell phenotypic screening algorithm, including optional functions.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: furrr, future, MASS, Matrix, matrixStats, microbenchmark, preprocessCore, Rfast, SeuratObject, sparseMatrixStats, testthat
Imports: chk, cli, data.table, processx, purrr, reticulate, rlang
NeedsCompilation: no
Packaged: 2026-03-09 07:33:45 UTC; yyx
Author: Yuxi Yang [cre, aut]
Maintainer: Yuxi Yang <15364051195@163.com>
Repository: CRAN
Date/Publication: 2026-03-12 19:40:07 UTC

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New package obr with initial version 0.2.2
Package: obr
Title: Access Office for Budget Responsibility Data
Version: 0.2.2
Description: Provides clean, tidy access to data published by the Office for Budget Responsibility (OBR), the UK's independent fiscal watchdog. Covers the Public Finances Databank (outturn for PSNB, PSND, receipts, and expenditure since 1946), the Historical Official Forecasts Database (every OBR forecast since 2010), the Economic and Fiscal Outlook detailed forecast tables (five-year projections from the latest Budget), the Welfare Trends Report (incapacity benefit spending and caseloads), and the Fiscal Risks and Sustainability Report (50-year state pension projections). Data is downloaded from the OBR on first use and cached locally for subsequent calls. Data is sourced from the OBR website <https://obr.uk>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
URL: https://github.com/charlescoverdale/obr
BugReports: https://github.com/charlescoverdale/obr/issues
Depends: R (>= 4.1.0)
Imports: httr2, readxl, cli
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-09 08:53:37 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 19:50:02 UTC

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New package ISMtools with initial version 0.1.0
Package: ISMtools
Title: Interpretive Structural Modelling Analysis Tools
Version: 0.1.0
Description: A comprehensive toolkit for Interpretive Structural Modelling (ISM) analysis. Provides functions for creating adjacency matrices from various input formats including SSIM (Structural Self-Interaction Matrix), computing reachability matrices using Warshall's algorithm, performing hierarchical level partitioning, MICMAC (Cross-Impact Matrix Multiplication Applied to Classification) analysis, and visualizing ISM structures through both static and interactive diagrams. ISM is a methodology for identifying and summarizing relationships among specific elements which define an issue or problem, as described in Warfield (1974) <doi:10.1109/TSMC.1974.5408524>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: graphics, stats
Suggests: igraph, visNetwork, viridis, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-09 03:46:49 UTC; tangy
Author: Yi Tang [aut, cre]
Maintainer: Yi Tang <tangyi@cidp.edu.cn>
Repository: CRAN
Date/Publication: 2026-03-12 19:30:08 UTC

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New package dialvalidator with initial version 0.1.0
Package: dialvalidator
Title: Phone Number Validation Using Google's 'libphonenumber' Metadata
Version: 0.1.0
Description: Parses, validates, formats, and classifies phone numbers using Google's 'libphonenumber' metadata. Covers 240+ territories with support for mobile, landline, toll-free, and other number types. Unlike 'dialr', this package requires no Java runtime — metadata is parsed ahead of time from the upstream 'PhoneNumberMetadata.xml' and shipped as a bundled R object. Functions accept character vectors and return simple R types (logical, character, data.frame).
License: Apache License (>= 2)
URL: https://pcstrategyandopsco.github.io/dialvalidator/, https://github.com/pcstrategyandopsco/dialvalidator
BugReports: https://github.com/pcstrategyandopsco/dialvalidator/issues
Encoding: UTF-8
Imports: cli, rlang, stringr
Suggests: xml2, testthat (>= 3.0.0), knitr, rmarkdown
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-09 09:49:32 UTC; peeyooshchandra
Author: Peeyoosh Chandra [aut, cre]
Maintainer: Peeyoosh Chandra <pc@strategyandops.co>
Repository: CRAN
Date/Publication: 2026-03-12 19:50:08 UTC

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New package decisionpaths with initial version 0.1.0
Package: decisionpaths
Title: Construct and Audit Longitudinal Decision Paths
Version: 0.1.0
Description: Tools for constructing and auditing longitudinal decision paths from panel data. Implements a decision infrastructure framework for representing institutional AI systems as generators of time-ordered binary decision sequences. Provides functions to build path objects from panel data, summarise per-unit descriptors (dosage, switching rate, onset, duration, longest run), compute the Decision Reliability Index (DRI) following Cronbach (1951) <doi:10.1007/BF02310555>, estimate Shannon decision-path entropy following Shannon (1948) <doi:10.1002/j.1538-7305.1948.tb01338.x>, classify systems by infrastructure type (static, periodic, continuous, human-in-the-loop), and evaluate subgroup disparities in decision exposure and stability. Applications include education, policy, health, and organisational research.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli (>= 3.0.0), dplyr (>= 1.0.0), magrittr (>= 2.0.0), rlang (>= 0.4.0), stats, tibble (>= 3.0.0)
Suggests: ggplot2 (>= 3.3.0), knitr, patchwork, rmarkdown, testthat (>= 3.0.0), tidyr (>= 1.1.0)
URL: https://github.com/causalfragility-lab/decisionpaths
BugReports: https://github.com/causalfragility-lab/decisionpaths/issues
NeedsCompilation: no
Packaged: 2026-03-09 00:44:29 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-03-12 19:30:02 UTC

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New package brightspaceR with initial version 0.1.0
Package: brightspaceR
Title: Access D2L 'Brightspace' Data Sets via the 'BDS' API
Version: 0.1.0
Description: Connect to the D2L 'Brightspace' Data Sets ('BDS') API via 'OAuth2', download all available datasets as tidy data frames with proper types, join them using convenience functions that know the foreign key relationships, and analyse student engagement, performance, and retention with ready-made analytics functions.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
URL: https://pcstrategyandopsco.github.io/brightspaceR/, https://github.com/pcstrategyandopsco/brightspaceR
BugReports: https://github.com/pcstrategyandopsco/brightspaceR/issues
Encoding: UTF-8
Imports: cli, config, curl, dplyr, httr2, lubridate, openssl, purrr, readr, rlang, stringr, tibble, tools, utils
Suggests: httptest2, knitr, pkgdown, rmarkdown, rstudioapi, testthat (>= 3.0.0), withr, yaml
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-09 09:39:02 UTC; peeyooshchandra
Author: Peeyoosh Chandra [aut, cre]
Maintainer: Peeyoosh Chandra <pc@strategyandops.co>
Repository: CRAN
Date/Publication: 2026-03-12 19:50:13 UTC

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Package riskRegression updated to version 2026.03.11 with previous version 2026.02.13 dated 2026-02-16

Title: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks
Description: Implementation of the following methods for event history analysis. Risk regression models for survival endpoints also in the presence of competing risks are fitted using binomial regression based on a time sequence of binary event status variables. A formula interface for the Fine-Gray regression model and an interface for the combination of cause-specific Cox regression models. A toolbox for assessing and comparing performance of risk predictions (risk markers and risk prediction models). Prediction performance is measured by the Brier score and the area under the ROC curve for binary possibly time-dependent outcome. Inverse probability of censoring weighting and pseudo values are used to deal with right censored data. Lists of risk markers and lists of risk models are assessed simultaneously. Cross-validation repeatedly splits the data, trains the risk prediction models on one part of each split and then summarizes and compares the performance across splits.
Author: Thomas Alexander Gerds [aut, cre], Johan Sebastian Ohlendorff [aut], Paul Blanche [ctb], Rikke Mortensen [ctb], Marvin Wright [ctb], Nikolaj Tollenaar [ctb], John Muschelli [ctb], Ulla Brasch Mogensen [ctb], Asbjoern Risom [ctb], Brice Ozenne [aut]
Maintainer: Thomas Alexander Gerds <tag@biostat.ku.dk>

Diff between riskRegression versions 2026.02.13 dated 2026-02-16 and 2026.03.11 dated 2026-03-12

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 riskRegression-2026.03.11/riskRegression/man/GLMnet.Rd                |   79 +-
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Package remstats updated to version 3.2.5 with previous version 3.2.4 dated 2025-01-29

Title: Computes Statistics for Relational Event History Data
Description: Computes a variety of statistics for relational event models. Relational event models enable researchers to investigate both exogenous and endogenous factors influencing the evolution of a time-ordered sequence of events. These models are categorized into tie-oriented models (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>), where the probability of a dyad interacting next is modeled in a single step, and actor-oriented models (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>), which first model the probability of a sender initiating an interaction and subsequently the probability of the sender's choice of receiver. The package is designed to compute a variety of statistics that summarize exogenous and endogenous influences on the event stream for both types of models.
Author: Marlyne Meijerink-Bosman [aut], Giuseppe Arena [ctb], Diana Karimova [ctb], Rumana Lakdawala [ctb], Mahdi Shafiee Kamalabad [ctb], Fabio Generoso Vieira [ctb], Roger Leenders [ctb], Joris Mulder [aut, cre]
Maintainer: Joris Mulder <j.mulder3@tilburguniversity.edu>

Diff between remstats versions 3.2.4 dated 2025-01-29 and 3.2.5 dated 2026-03-12

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Package protolite updated to version 2.4.0 with previous version 2.3.1 dated 2024-10-04

Title: Highly Optimized Protocol Buffer Serializers
Description: Pure C++ implementations for reading and writing several common data formats based on Google protocol-buffers. Currently supports 'rexp.proto' for serialized R objects, 'geobuf.proto' for binary geojson, and 'mvt.proto' for vector tiles. This package uses the auto-generated C++ code by protobuf-compiler, hence the entire serialization is optimized at compile time. The 'RProtoBuf' package on the other hand uses the protobuf runtime library to provide a general- purpose toolkit for reading and writing arbitrary protocol-buffer data in R.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between protolite versions 2.3.1 dated 2024-10-04 and 2.4.0 dated 2026-03-12

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 MD5              |    6 +++---
 NEWS             |    3 +++
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 4 files changed, 36 insertions(+), 16 deletions(-)

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Package munsellinterpol updated to version 3.3-2 with previous version 3.2-0 dated 2025-06-18

Title: Interpolate Munsell Renotation Data from Hue Value/Chroma to CIE/RGB
Description: Methods for interpolating data in the Munsell color system following the ASTM D-1535 standard. Hues and chromas with decimal values can be interpolated and converted to/from the Munsell color system and CIE xyY, CIE XYZ, CIE Lab, CIE Luv, or RGB. Includes ISCC-NBS color block lookup. Based on the work by Paul Centore, "The Munsell and Kubelka-Munk Toolbox".
Author: Jose Gama [aut, trl], Paul Centore [aut, cph], Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

Diff between munsellinterpol versions 3.2-0 dated 2025-06-18 and 3.3-2 dated 2026-03-12

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 MD5                                   |   78 ++++++++++----------
 NEWS.md                               |   14 +++
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 inst/doc/munsellinterpol-guide.html   |   24 +++---
 inst/doc/soil.R                       |   23 ++---
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 inst/doc/soil.html                    |  132 +++++++++++++++++++---------------
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 man/MunsellTosRGB.Rd                  |    2 
 man/MunsellToxyY.Rd                   |    4 -
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 42 files changed, 353 insertions(+), 329 deletions(-)

More information about munsellinterpol at CRAN
Permanent link

Package Luminescence updated to version 1.2.0 with previous version 1.1.2 dated 2025-12-12

Title: Comprehensive Luminescence Dating Data Analysis
Description: A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.
Author: Sebastian Kreutzer [aut, trl, cre, dtc] , Christoph Burow [aut, trl, dtc] , Michael Dietze [aut] , Margret C. Fuchs [aut] , Christoph Schmidt [aut] , Manfred Fischer [aut, trl], Johannes Friedrich [aut] , Norbert Mercier [aut] , Rachel K. Smedley [ct [...truncated...]
Maintainer: Sebastian Kreutzer <maintainer_luminescence@r-luminescence.org>

Diff between Luminescence versions 1.1.2 dated 2025-12-12 and 1.2.0 dated 2026-03-12

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Package hipread updated to version 0.2.6 with previous version 0.2.5 dated 2025-06-19

Title: Read Hierarchical Fixed Width Files
Description: Read hierarchical fixed width files like those commonly used by many census data providers. Also allows for reading of data in chunks, and reading 'gzipped' files without storing the full file in memory.
Author: Greg Freedman Ellis [aut], Derek Burk [aut, cre], Joe Grover [ctb], Mark Padgham [ctb], Hadley Wickham [ctb] , Jim Hester [ctb] , Romain Francois [ctb] , R Core Team [ctb] , RStudio [cph, fnd] , Jukka Jylaenki [ctb, cph] , Mikkel Joergensen [ctb, cph] [...truncated...]
Maintainer: Derek Burk <ipums+cran@umn.edu>

Diff between hipread versions 0.2.5 dated 2025-06-19 and 0.2.6 dated 2026-03-12

 DESCRIPTION   |    8 -
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Package hce updated to version 0.9.1 with previous version 0.9.0 dated 2026-01-29

Title: Design and Analysis of Hierarchical Composite Endpoints
Description: Simulate and analyze hierarchical composite endpoints. Includes implementation for the kidney hierarchical composite endpoint as defined in Heerspink HL et al (2023) “Development and validation of a new hierarchical composite end point for clinical trials of kidney disease progression” (Journal of the American Society of Nephrology 34 (2): 2025–2038, <doi:10.1681/ASN.0000000000000243>). Win odds, also called Wilcoxon-Mann-Whitney or success odds, is the main analysis method. Other win statistics (win probability, win ratio, net benefit) are also implemented in the univariate case, provided there is no censoring. The win probability analysis is based on the Brunner-Munzel test and uses the DeLong-DeLong-Clarke-Pearson variance estimator, as described by Brunner and Konietschke (2025) in “An unbiased rank-based estimator of the Mann–Whitney variance including the case of ties” (Statistical Papers 66 (1): 20, <doi:10.1007/s00362-024-01635-0>). Includes implementation of a new [...truncated...]
Author: Samvel B. Gasparyan [aut, cre]
Maintainer: Samvel B. Gasparyan <gasparyan.co@gmail.com>

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Package epiworldR updated to version 0.13.0.0 with previous version 0.12.0.0 dated 2026-02-21

Title: Fast Agent-Based Epi Models
Description: A flexible framework for Agent-Based Models (ABM), the 'epiworldR' package provides methods for prototyping disease outbreaks and transmission models using a 'C++' backend, making it very fast. It supports multiple epidemiological models, including the Susceptible-Infected-Susceptible (SIS), Susceptible-Infected-Removed (SIR), Susceptible-Exposed-Infected-Removed (SEIR), and others, involving arbitrary mitigation policies and multiple-disease models. Users can specify infectiousness/susceptibility rates as a function of agents' features, providing great complexity for the model dynamics. Furthermore, 'epiworldR' is ideal for simulation studies featuring large populations.
Author: George Vega Yon [aut, cre] , Derek Meyer [aut] , Andrew Pulsipher [aut] , Susan Holmes [rev] , Abinash Satapathy [rev] , Carinogurjao [rev], Centers for Disease Control and Prevention [fnd]
Maintainer: George Vega Yon <g.vegayon@gmail.com>

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Package lpda updated to version 1.2.3 with previous version 1.2.2 dated 2025-10-27

Title: Linear Programming Discriminant Analysis
Description: Classification method obtained through linear programming. It is advantageous with respect to the classical developments when the distribution of the variables involved is unknown or when the number of variables is much greater than the number of individuals. Mathematical details behind the method are published in Nueda, et al. (2022) "LPDA: A new classification method based on linear programming". <doi:10.1371/journal.pone.0270403>.
Author: Maria Jose Nueda [aut, cre]
Maintainer: Maria Jose Nueda <mj.nueda@ua.es>

Diff between lpda versions 1.2.2 dated 2025-10-27 and 1.2.3 dated 2026-03-12

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Package tvReg updated to version 0.5.10 with previous version 0.5.9 dated 2023-09-01

Title: Time-Varying Coefficient for Single and Multi-Equation Regressions
Description: Fitting time-varying coefficient models for single and multi-equation regressions, using kernel smoothing techniques.
Author: Isabel Casas [aut, cre], Ruben Fernandez-Casal [aut]
Maintainer: Isabel Casas <casasis@gmail.com>

Diff between tvReg versions 0.5.9 dated 2023-09-01 and 0.5.10 dated 2026-03-12

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Package stratallo updated to version 3.0.1 with previous version 3.0.0 dated 2026-03-12

Title: Optimum Sample Allocation in Stratified Sampling
Description: Provides exact analytical algorithms for computing optimum sample allocations in stratified sampling. Supports classical Neyman-Tschuprow allocation, minimum-cost allocation under a variance constraint, and multi-domain allocation with controlled precision. Handles lower and upper bounds, cost constraints, and multiple domains. Includes helper functions for variance computation, allocation summaries, rounding, and example datasets for testing and benchmarking.
Author: Wojciech Wojciak [aut, cre], Jacek Wesolowski [sad], Robert Wieczorkowski [ctb]
Maintainer: Wojciech Wojciak <wojciech.wojciak@gmail.com>

Diff between stratallo versions 3.0.0 dated 2026-03-12 and 3.0.1 dated 2026-03-12

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

Title: Progression Models for Repeated Measures
Description: A progression model for repeated measures (PMRM) is a continuous-time nonlinear mixed-effects model for longitudinal clinical trials in progressive diseases. Unlike mixed models for repeated measures (MMRMs), which estimate treatment effects as linear combinations of additive effects on the outcome scale, PMRMs characterize treatment effects in terms of the underlying disease trajectory. This framing yields clinically interpretable quantities such as average time saved and percent reduction in decline due to treatment. This package implements frequentist PMRMs by Raket (2022) <doi:10.1002/sim.9581> using 'RTMB' by Kristensen (2016) <doi:10.18637/jss.v070.i05>.
Author: William Michael Landau [aut, cre] , Lars Lau Raket [aut] , Kasper Kristensen [aut] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between pmrm versions 0.0.2 dated 2026-01-30 and 0.0.3 dated 2026-03-12

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Package OSLdecomposition updated to version 1.2 with previous version 1.1.0 dated 2025-08-31

Title: Signal Component Analysis for Optically Stimulated Luminescence
Description: Function library for the identification and separation of exponentially decaying signal components in continuous-wave optically stimulated luminescence measurements. A special emphasis is laid on luminescence dating with quartz, which is known for systematic errors due to signal components with unequal physical behaviour. Also, this package enables an easy to use signal decomposition of data sets imported and analysed with the R package 'Luminescence'. This includes the optional automatic creation of HTML reports. Further information and tutorials can be found at <https://luminescence.de>.
Author: Dirk Mittelstrass [aut, cre] , Sebastian Kreutzer [aut] , Christoph Schmidt [aut] , Marco Colombo [aut] , Jan Beyer [ths] , Johannes Heitmann [ths], Arno Straessner [ths]
Maintainer: Dirk Mittelstrass <dirk.mittelstrass@luminescence.de>

Diff between OSLdecomposition versions 1.1.0 dated 2025-08-31 and 1.2 dated 2026-03-12

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Package MMAD updated to version 2.0.1 with previous version 2.0 dated 2025-11-26

Title: An R Package of Minorization-Maximization Algorithm via the Assembly--Decomposition Technology
Description: The minorization-maximization (MM) algorithm is a powerful tool for maximizing nonconcave target function. However, for most existing MM algorithms, the surrogate function in the minorization step is constructed in a case-specific manner and requires manual programming. To address this limitation, we develop the R package MMAD, which systematically integrates the assembly--decomposition technology in the MM framework. This new package provides a comprehensive computational toolkit for one-stop inference of complex target functions, including function construction, evaluation, minorization and optimization via MM algorithm. By representing the target function through a hierarchical composition of assembly functions, we design a hierarchical algorithmic structure that supports both bottom-up operations (construction, evaluation) and top-down operation (minorization).
Author: Xifen Huang [aut], Jinfeng Xu [aut], Jiaqi Gu [aut, cre]
Maintainer: Jiaqi Gu <jiaqigu@usf.edu>

Diff between MMAD versions 2.0 dated 2025-11-26 and 2.0.1 dated 2026-03-12

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Package CopernicusMarine updated to version 0.4.5 with previous version 0.4.4 dated 2026-02-26

Title: Search Download and Handle Data from Copernicus Marine Service Information
Description: Subset and download data from EU Copernicus Marine Service Information: <https://data.marine.copernicus.eu>. Import data on the oceans physical and biogeochemical state from Copernicus into R without the need of external software.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

Diff between CopernicusMarine versions 0.4.4 dated 2026-02-26 and 0.4.5 dated 2026-03-12

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Package esci updated to version 1.0.10 with previous version 1.0.9 dated 2026-01-16

Title: Estimation Statistics with Confidence Intervals
Description: A collection of functions and 'jamovi' module for the estimation approach to inferential statistics, the approach which emphasizes effect sizes, interval estimates, and meta-analysis. Nearly all functions are based on 'statpsych' and 'metafor'. This package is still under active development, and breaking changes are likely, especially with the plot and hypothesis test functions. Data sets are included for all examples from Cumming & Calin-Jageman (2024) <ISBN:9780367531508>.
Author: Robert Calin-Jageman [aut, cre, cph]
Maintainer: Robert Calin-Jageman <rcalinjageman@dom.edu>

Diff between esci versions 1.0.9 dated 2026-01-16 and 1.0.10 dated 2026-03-12

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Package yuimaGUI updated to version 1.4.0 with previous version 1.3.1 dated 2022-08-11

Title: A Graphical User Interface for the 'yuima' Package
Description: Provides a graphical user interface for the 'yuima' package.
Author: YUIMA Project Team [aut], Emanuele Guidotti [cre]
Maintainer: Emanuele Guidotti <emanuele.guidotti@usi.ch>

Diff between yuimaGUI versions 1.3.1 dated 2022-08-11 and 1.4.0 dated 2026-03-12

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More information about yuimaGUI at CRAN
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Package picasso updated to version 1.5 with previous version 1.4.1 dated 2026-03-10

Title: Sparse Learning with Convex and Concave Penalties
Description: Fast tools for fitting sparse generalized linear models with convex penalties (lasso) and concave penalties (smoothly clipped absolute deviation and minimax concave penalty). Computation uses multi-stage convex relaxation and pathwise coordinate optimization with warm starts, active-set updates, and screening rules. Core solvers are implemented in C++, and coefficient paths are stored as sparse matrices for memory efficiency.
Author: Jason Ge [aut], Xingguo Li [aut], Haoming Jiang [aut], Mengdi Wang [aut], Tong Zhang [aut], Han Liu [aut], Tuo Zhao [aut, cre], Gael Guennebaud [ctb] , Benoit Jacob [ctb] , Eigen Library Authors [cph]
Maintainer: Tuo Zhao <tourzhao@gatech.edu>

Diff between picasso versions 1.4.1 dated 2026-03-10 and 1.5 dated 2026-03-12

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Package FoReco updated to version 1.2.0 with previous version 1.1.0 dated 2025-06-07

Title: Forecast Reconciliation
Description: Classical (bottom-up and top-down), optimal combination and heuristic point (Di Fonzo and Girolimetto, 2023 <doi:10.1016/j.ijforecast.2021.08.004>) and probabilistic (Girolimetto et al. 2024 <doi:10.1016/j.ijforecast.2023.10.003>) forecast reconciliation procedures for linearly constrained time series (e.g., hierarchical or grouped time series) in cross-sectional, temporal, or cross-temporal frameworks.
Author: Daniele Girolimetto [aut, cre] , Tommaso Di Fonzo [aut] , Yangzhuoran Fin Yang [ctb]
Maintainer: Daniele Girolimetto <daniele.girolimetto@unipd.it>

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Package cmtkr updated to version 0.2.3 with previous version 0.2.2 dated 2026-03-08

Title: Wrapper for the Computational Morphometry Toolkit ('CMTK') Library
Description: Provides R bindings for selected components of the Computational Morphometry Toolkit ('CMTK') for image registration and point transformation. A subset of the 'C++' source code required for point transforms is bundled with 'cmtkr'. This allows direct calls into the 'CMTK' library, avoiding command-line invocations and providing order-of-magnitude speed improvements. Additional 'CMTK' functionality may be wrapped in future releases. 'CMTK' is described in Rohlfing T and Maurer CR (2003) <doi:10.1109/titb.2003.808506>.
Author: Gregory Jefferis [aut, cre] , Torsten Rohlfing [aut] ), SRI International [cph] , Google, Inc. [cph]
Maintainer: Gregory Jefferis <jefferis@gmail.com>

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Package VertexWiseR updated to version 1.5.0 with previous version 1.4.5 dated 2025-12-15

Title: Simplified Vertex-Wise Analyses of Whole-Brain and Hippocampal Surface
Description: Provides functions to run statistical analyses on surface-based neuroimaging data, computing measures including cortical thickness and surface area of the whole-brain and of the hippocampi. It can make use of 'FreeSurfer', 'fMRIprep', 'XCP-D', 'HCP' and 'CAT12' preprocessed datasets, 'HippUnfold' hippocampal outputs and 'SubCortexMesh' subcortical outputs for a given sample by restructuring the data values into a single file. The single file can then be used by the package for analyses independently from its base dataset and without need for its access.
Author: Junhong Yu [aut] , Charly Billaud [aut, cre]
Maintainer: Charly Billaud <charly.billaud@ntu.edu.sg>

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Package fitzRoy updated to version 1.7.0 with previous version 1.6.0 dated 2024-12-10

Title: Easily Scrape and Process AFL Data
Description: An easy package for scraping and processing Australia Rules Football (AFL) data. 'fitzRoy' provides a range of functions for accessing publicly available data from 'AFL Tables' <https://afltables.com/afl/afl_index.html>, 'Footy Wire' <https://www.footywire.com> and 'The Squiggle' <https://squiggle.com.au>. Further functions allow for easy processing, cleaning and transformation of this data into formats that can be used for analysis.
Author: James Day [cre, aut], Robert Nguyen [aut], Matthew Erbs [ctb], Oscar Lane [aut], Jason Zivkovic [ctb], Jacob Holden [ctb]
Maintainer: James Day <jamesthomasday@gmail.com>

Diff between fitzRoy versions 1.6.0 dated 2024-12-10 and 1.7.0 dated 2026-03-12

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Package scam updated to version 1.2-22 with previous version 1.2-21 dated 2026-01-22

Title: Shape Constrained Additive Models
Description: Generalized additive models under shape constraints on the component functions of the linear predictor. Models can include multiple shape-constrained (univariate and bivariate) and unconstrained terms. Routines of the package 'mgcv' are used to set up the model matrix, print, and plot the results. Multiple smoothing parameter estimation by the Generalized Cross Validation or similar. See Pya and Wood (2015) <doi:10.1007/s11222-013-9448-7> for an overview. A broad selection of shape-constrained smoothers, linear functionals of smooths with shape constraints, and Gaussian models with AR1 residuals.
Author: Natalya Pya [aut, cre]
Maintainer: Natalya Pya <nat.pya@gmail.com>

Diff between scam versions 1.2-21 dated 2026-01-22 and 1.2-22 dated 2026-03-12

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More information about scam at CRAN
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Package RcppBDT updated to version 0.2.8 with previous version 0.2.7 dated 2025-01-25

Title: 'Rcpp' Bindings for the Boost Date_Time Library
Description: Access to Boost Date_Time functionality for dates, durations (both for days and date time objects), time zones, and posix time ('ptime') is provided by using 'Rcpp modules'. The posix time implementation can support high-resolution of up to nano-second precision by using 96 bits (instead of 64 with R) to present a 'ptime' object (but this needs recompilation with a #define set).
Author: Dirk Eddelbuettel [aut, cre] , Romain Francois [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppBDT versions 0.2.7 dated 2025-01-25 and 0.2.8 dated 2026-03-12

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New package stacr with initial version 0.1.0
Package: stacr
Title: Tidy 'STAC' Workflows for R
Version: 0.1.0
Description: Wraps the 'rstac' package with a pipe-friendly, tidy API. All results return 'tibbles' instead of nested lists. Ships with a catalog registry of known 'STAC' endpoints including Planetary Computer, Earth Search, and 'USGS', while supporting any 'STAC' API URL.
License: MIT + file LICENSE
URL: https://github.com/null-island-labs/stacr
BugReports: https://github.com/null-island-labs/stacr/issues
Depends: R (>= 4.1.0)
Imports: rstac, tibble, cli
Suggests: gdalcubes, jsonlite, leaflet, sf, testthat (>= 3.0.0), withr, knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-08 18:32:11 UTC; chrislyons
Author: Chris Lyons [aut, cre, cph]
Maintainer: Chris Lyons <chrislyons@nullislandlabs.dev>
Repository: CRAN
Date/Publication: 2026-03-12 09:10:02 UTC

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Package disordR updated to version 0.9-8-6 with previous version 0.9-8-5 dated 2025-11-03

Title: Non-Ordered Vectors
Description: Functionality for manipulating values of associative maps. The package is a dependency for mvp-type packages that use the STL map class: it traps plausible idiom that is ill-defined (implementation-specific) and returns an informative error, rather than returning a possibly incorrect result. To cite the package in publications please use Hankin (2022) <doi:10.48550/ARXIV.2210.03856>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between disordR versions 0.9-8-5 dated 2025-11-03 and 0.9-8-6 dated 2026-03-12

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New package xtpqardl with initial version 1.0.1
Package: xtpqardl
Title: Panel Quantile Autoregressive Distributed Lag Model
Version: 1.0.1
Date: 2026-02-20
Description: Estimation of Panel Quantile Autoregressive Distributed Lag (PQARDL) models that combine panel ARDL methodology with quantile regression. Supports Pooled Mean Group (PMG), Mean Group (MG), and Dynamic Fixed Effects (DFE) estimators across multiple quantiles. Computes long-run cointegrating parameters, error correction term speed of adjustment, half-life of adjustment, and performs Wald tests for parameter equality across quantiles. Based on the econometric frameworks of Pesaran, Shin, and Smith (1999) <doi:10.1080/01621459.1999.10474156>, Cho, Kim, and Shin (2015) <doi:10.1016/j.jeconom.2015.02.030>, and Bildirici and Kayikci (2022) <doi:10.1016/j.energy.2022.124303>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: stats, quantreg
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-07 13:56:08 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph] , Merwan Roudane [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:10:03 UTC

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New package xtdhcoint with initial version 1.0.1
Package: xtdhcoint
Title: Durbin-Hausman Panel Cointegration Tests
Version: 1.0.1
Date: 2026-03-07
Description: Implements the Durbin-Hausman panel cointegration tests of Westerlund (2008) <doi:10.1002/jae.963>. The tests are robust to cross-sectional dependence through common factor extraction using principal components. Provides both group-mean (DHg) and panel (DHp) test statistics with automatic factor number selection via information criteria.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
URL: https://github.com/muhammedalkhalaf/xtdhcoint
BugReports: https://github.com/muhammedalkhalaf/xtdhcoint/issues
NeedsCompilation: no
Packaged: 2026-03-08 10:16:40 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph] , Merwan Roudane [ctb] , Joakim Westerlund [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:30:02 UTC

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Package TriLLIEM updated to version 0.1.1 with previous version 0.1.0 dated 2026-03-05

Title: Log-Linear Modelling of Triad Genotype Data
Description: Triad Log-Linear modelling of Imprinting Environmental interactions, and Maternal effects (TriLLIEM). This is an implementation of the log-linear model described in a series of papers, see for example Ainsworth et al. (2010) <doi:10.1002/gepi.20547>.
Author: Kevin Heda Zhao [aut, cre], Kelly Burkett [aut]
Maintainer: Kevin Heda Zhao <trilliemmaintainer@gmail.com>

Diff between TriLLIEM versions 0.1.0 dated 2026-03-05 and 0.1.1 dated 2026-03-12

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New package wstats with initial version 0.1.1
Package: wstats
Title: Weighted Descriptive Statistics
Version: 0.1.1
Description: Weighted versions of common descriptive statistics (variance, standard deviation, covariance, correlation, quantiles).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: glue, rlang
Suggests: pkgdown, testthat (>= 3.0.0)
LinkingTo: cpp11
NeedsCompilation: yes
Packaged: 2026-03-07 21:51:04 UTC; jgaeb
Author: Johann D. Gaebler [aut, cre]
Maintainer: Johann D. Gaebler <me@jgaeb.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:20:02 UTC

More information about wstats at CRAN
Permanent link

Package stratallo updated to version 3.0.0 with previous version 2.2.1 dated 2023-11-26

Title: Optimum Sample Allocation in Stratified Sampling
Description: Provides exact analytical algorithms for computing optimum sample allocations in stratified sampling. Supports classical Neyman-Tschuprow allocation, minimum-cost allocation under a variance constraint, and multi-domain allocation with controlled precision. Handles lower and upper bounds, cost constraints, and multiple domains. Includes helper functions for variance computation, allocation summaries, rounding, and example datasets for testing and benchmarking.
Author: Wojciech Wojciak [aut, cre], Jacek Wesolowski [sad], Robert Wieczorkowski [ctb]
Maintainer: Wojciech Wojciak <wojciech.wojciak@gmail.com>

Diff between stratallo versions 2.2.1 dated 2023-11-26 and 3.0.0 dated 2026-03-12

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Package SQUAREM updated to version 2026.1 with previous version 2021.1 dated 2021-01-13

Title: Squared Extrapolation Methods for Accelerating EM-Like Monotone Algorithms
Description: Algorithms for accelerating the convergence of slow, monotone sequences from smooth, contraction mappings such as the EM algorithm. It can be used to accelerate any smooth, linearly convergent scheme. A tutorial-style introduction is available in vignette("SQUAREM"). See also: Varadhan & Roland (2008) <doi:10.18637/jss.v092.i07>.
Author: Ravi Varadhan [aut, cre]
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>

Diff between SQUAREM versions 2021.1 dated 2021-01-13 and 2026.1 dated 2026-03-12

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Package SHARK4R updated to version 1.1.1 with previous version 1.1.0 dated 2026-03-09

Title: Accessing and Validating Marine Environmental Data from 'SHARK' and Related Databases
Description: Provides functions to retrieve, process, analyze, and quality-control marine physical, chemical, and biological data. The main focus is on Swedish monitoring data available through the 'SHARK' database <https://shark.smhi.se/en/>, with additional API support for 'Nordic Microalgae' <https://nordicmicroalgae.org/>, 'Dyntaxa' <https://artfakta.se/>, World Register of Marine Species ('WoRMS') <https://www.marinespecies.org>, 'AlgaeBase' <https://www.algaebase.org>, OBIS 'xylookup' web service <https://iobis.github.io/xylookup/> and Intergovernmental Oceanographic Commission (IOC) - UNESCO databases on harmful algae <https://www.marinespecies.org/hab/> and toxins <https://toxins.hais.ioc-unesco.org/>.
Author: Markus Lindh [aut] , Anders Torstensson [aut, cre] , Mikael Hedblom [ctb] , Bengt Karlson [ctb] , SHARK [cph], SBDI [fnd]
Maintainer: Anders Torstensson <anders.torstensson@smhi.se>

Diff between SHARK4R versions 1.1.0 dated 2026-03-09 and 1.1.1 dated 2026-03-12

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New package rMIDAS2 with initial version 0.1.1
Package: rMIDAS2
Title: Multiple Imputation with 'MIDAS2' Denoising Autoencoders
Version: 0.1.1
Description: Fits 'MIDAS' denoising autoencoder models for multiple imputation of missing data, generates multiply-imputed datasets, computes imputation means, and runs Rubin's rules regression analysis. Wraps the 'MIDAS2' 'Python' engine via a local 'FastAPI' server over 'HTTP', so no 'reticulate' dependency is needed at runtime. Methods are described in Lall and Robinson (2022) <doi:10.1017/pan.2020.49> and Lall and Robinson (2023) <doi:10.18637/jss.v107.i09>.
License: MIT + file LICENSE
URL: https://github.com/MIDASverse/MIDAS2
BugReports: https://github.com/MIDASverse/MIDAS2/issues
Depends: R (>= 4.1.0)
Encoding: UTF-8
SystemRequirements: Python (>= 3.9) with the 'midasverse-midas-api' package
Imports: curl, httr2 (>= 1.0.0), processx (>= 3.8.0), rlang (>= 1.1.0)
Suggests: arrow, jsonlite, reticulate, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-08 10:22:49 UTC; t.robinson7
Author: Thomas Robinson [aut, cre], Ranjit Lall [aut]
Maintainer: Thomas Robinson <t.robinson7@lse.ac.uk>
Repository: CRAN
Date/Publication: 2026-03-12 08:30:08 UTC

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New package readoecd with initial version 0.3.0
Package: readoecd
Title: Download and Tidy Data from the OECD
Version: 0.3.0
Description: Provides clean, tidy access to key economic indicators published by the Organisation for Economic Co-operation and Development (OECD), covering GDP, CPI inflation, unemployment, tax revenue, government deficit, health expenditure, education expenditure, income inequality, labour productivity, and current account balance across all 38 OECD member countries. Data is downloaded from the OECD Data Explorer API <https://data-explorer.oecd.org> on first use and cached locally for subsequent calls. Returns tidy long-format data frames ready for analysis and visualisation.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
URL: https://github.com/charlescoverdale/readoecd
BugReports: https://github.com/charlescoverdale/readoecd/issues
Depends: R (>= 4.1.0)
Imports: httr2, cli
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-07 18:57:32 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:10:09 UTC

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New package ons with initial version 0.1.0
Package: ons
Title: Download Data from the Office for National Statistics
Version: 0.1.0
Description: Provides functions to download and tidy statistical data published by the Office for National Statistics <https://www.ons.gov.uk>. Covers GDP, inflation (CPI, CPIH, RPI), unemployment, employment, wages, trade, retail sales, house prices, productivity, population, and public sector finances. Most series are fetched from the ONS website using its CSV time series endpoint. House price data is sourced from HM Land Registry <https://www.gov.uk/government/organisations/land-registry>. Data is cached locally between sessions.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Imports: cli (>= 3.6.0), httr2 (>= 1.0.0), tools
Suggests: testthat (>= 3.0.0)
URL: https://github.com/charlescoverdale/ons
BugReports: https://github.com/charlescoverdale/ons/issues
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-03-08 18:34:01 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 09:00:02 UTC

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Package MPGE updated to version 1.0.1 with previous version 1.0.0 dated 2020-10-23

Title: A Two-Step Approach to Testing Overall Effect of Gene-Environment Interaction for Multiple Phenotypes
Description: Interaction between a genetic variant (e.g., a single nucleotide polymorphism) and an environmental variable (e.g., physical activity) can have a shared effect on multiple phenotypes (e.g., blood lipids). We implement a two-step method to test for an overall interaction effect on multiple phenotypes. In first step, the method tests for an overall marginal genetic association between the genetic variant and the multivariate phenotype. The genetic variants which show an evidence of marginal overall genetic effect in the first step are prioritized while testing for an overall gene-environment interaction effect in the second step. Methodology is available from: A Majumdar, KS Burch, T Haldar, S Sankararaman, B Pasaniuc, WJ Gauderman, JS Witte (2020) <doi:10.1093/bioinformatics/btaa1083>.
Author: Arunabha Majumdar [aut, cre], Tanushree Haldar [aut]
Maintainer: Arunabha Majumdar <statgen.arunabha@gmail.com>

Diff between MPGE versions 1.0.0 dated 2020-10-23 and 1.0.1 dated 2026-03-12

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New package lmmprobe with initial version 0.1.0
Package: lmmprobe
Title: Sparse High-Dimensional Linear Mixed Modeling with a Partitioned Empirical Bayes ECM Algorithm
Version: 0.1.0
Date: 2026-02-27
Description: Implements a partitioned Empirical Bayes Expectation Conditional Maximization (ECM) algorithm for sparse high-dimensional linear mixed modeling as described in Zgodic, Bai, Zhang, and McLain (2025) <doi:10.1007/s11222-025-10649-z>. The package provides efficient estimation and inference for mixed models with high-dimensional fixed effects.
License: GPL (>= 2)
URL: https://github.com/anjazgodic/lmmprobe
BugReports: https://github.com/anjazgodic/lmmprobe/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.8.3), lme4 (>= 1.1-29), future.apply (>= 1.10.0)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, MASS
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-03-08 16:13:58 UTC; peter
Author: Anja Zgodic [aut, cre], Ray Bai [aut] , Jiajia Zhang [aut] , Alex McLain [aut] , Peter Olejua [aut]
Maintainer: Anja Zgodic <anja.zgodic@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 09:00:09 UTC

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New package INCVCommunityDetection with initial version 0.1.0
Package: INCVCommunityDetection
Title: Inductive Node-Splitting Cross-Validation for Community Detection
Version: 0.1.0
Description: Implements Inductive Node-Splitting Cross-Validation (INCV) for selecting the number of communities in stochastic block models. Provides f-fold and random-split node-level cross-validation, along with competing methods including CROISSANT, Edge Cross-Validation (ECV), and Node Cross-Validation (NCV). Supports both SBM and Degree-Corrected Block Models (DCBM), with multiple loss functions (L2, binomial deviance, AUC). Includes network simulation utilities for SBM, RDPG, and latent space models.
URL: https://github.com/ivylinzhang97/incv-community-detection
BugReports: https://github.com/ivylinzhang97/incv-community-detection/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: methods, Matrix, RSpectra, ClusterR, irlba, parallel, cluster, Rfast, data.table, IMIFA, stats
Suggests: latentnet, network, rdist, igraph, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-07 18:02:22 UTC; linzhang
Author: Lin Zhang [aut, cre], Bokai Yang [aut]
Maintainer: Lin Zhang <linzhang1126@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:10:15 UTC

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New package hmrc with initial version 0.3.0
Package: hmrc
Title: Download and Tidy HMRC Statistical Data
Version: 0.3.0
Description: Provides functions to download, parse, and tidy statistical data published by HM Revenue and Customs (HMRC) on GOV.UK. Covers monthly tax receipts (41 tax heads from 2016), VAT (from 1973), fuel duties (from 1990), tobacco duties (from 1991), annual Corporation Tax receipts, stamp duty, research and development tax credit statistics (from 2000), tax gap estimates, Income Tax liabilities by income range, and monthly property transaction counts. File URLs are resolved at runtime via the GOV.UK Content API <https://www.gov.uk/api/content>, so data is always current without hardcoded URLs. Files are cached locally between sessions.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Imports: cli (>= 3.6.0), httr2 (>= 1.0.0), readODS (>= 2.3.0), readxl (>= 1.4.0), tools
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggplot2, scales
VignetteBuilder: knitr
URL: https://github.com/charlescoverdale/hmrc
BugReports: https://github.com/charlescoverdale/hmrc/issues
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-08 15:30:25 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:50:02 UTC

More information about hmrc at CRAN
Permanent link

Package healthiar updated to version 0.2.4 with previous version 0.2.3 dated 2026-02-19

Title: Quantifying and Monetizing Health Impacts Attributable to Exposure
Description: This R package has been developed with a focus on air pollution and noise but can be applied to other exposures. The initial development has been funded by the European Union project BEST-COST. Disclaimer: It is work in progress and the developers are not liable for any calculation errors or inaccuracies resulting from the use of this package. Selection of relevant references (in chronological order): WHO (2003) <https://www.who.int/publications/i/item/9241546204>, Murray et al. (2003) <doi:10.1186/1478-7954-1-1>, Miller & Hurley (2003) <doi:10.1136/jech.57.3.200>, Steenland & Armstrong (2006) <doi:10.1097/01.ede.0000229155.05644.43>, WHO (2011) <https://iris.who.int/items/723ab97c-5c33-4e3b-8df1-744aa5bc1c27>, GBD 2019 Risk Factors Collaborators (2020) <doi:10.1016/S0140-6736(20)30752-2>.
Author: Alberto Castro [cre, aut] , Axel Luyten [aut] , Arno Pauwels [ctb] , Liliana Vazquez Fernandez [ctb] , Gianni Ardielli [ctb] , Iracy Pimenta [ctb] , Susanne Breitner [ctb] , Carl Baravelli [ctb] , Vanessa Gorasso [ctb] , Maria Lepnurm [ctb] , Andreia [...truncated...]
Maintainer: Alberto Castro <alberto.castrofernandez@swisstph.ch>

Diff between healthiar versions 0.2.3 dated 2026-02-19 and 0.2.4 dated 2026-03-12

 DESCRIPTION                      |    8 +--
 MD5                              |   82 +++++++++++++++----------------
 NEWS.md                          |   20 ++++++-
 R/attribute_health.R             |    2 
 R/cba.R                          |   17 ++++--
 R/compare.R                      |    6 +-
 R/data.R                         |    7 +-
 R/discount.R                     |   27 +++++-----
 R/get_discount_factor.R          |   34 ++----------
 R/get_inflation_factor.R         |   13 ++++
 R/get_paf.R                      |    2 
 R/monetize.R                     |  103 ++++++++++++++++++++++++++-------------
 R/socialize.R                    |    2 
 R/summarize_uncertainty.R        |    7 +-
 R/zzz_global_variables.R         |    2 
 README.md                        |    2 
 build/partial.rdb                |binary
 data/exdat_cantons.rda           |binary
 data/exdat_lifetable.rda         |binary
 data/exdat_noise.rda             |binary
 data/exdat_ozone.rda             |binary
 data/exdat_pm.rda                |binary
 data/exdat_socialize.rda         |binary
 inst/CITATION                    |    3 -
 inst/REFERENCES.bib              |   24 +++++++--
 inst/doc/intro_to_healthiar.Rmd  |   52 +++++++++++++------
 inst/doc/intro_to_healthiar.html |   87 +++++++++++++++++++++-----------
 man/attribute_health.Rd          |    2 
 man/cba.Rd                       |   14 ++++-
 man/compare.Rd                   |    6 +-
 man/discount.Rd                  |   28 +++++-----
 man/exdat_pm.Rd                  |    7 +-
 man/get_discount_factor.Rd       |   13 +---
 man/get_inflation_factor.Rd      |   11 +++-
 man/get_paf.Rd                   |    2 
 man/healthiar-package.Rd         |    2 
 man/monetize.Rd                  |   26 ++++++++-
 man/socialize.Rd                 |    2 
 man/summarize_uncertainty.Rd     |    7 +-
 tests/testthat/test-cba.R        |   36 ++++++++++---
 tests/testthat/test-monetize.R   |  101 +++++++++++++++++++++++++++++++++-----
 vignettes/intro_to_healthiar.Rmd |   52 +++++++++++++------
 42 files changed, 540 insertions(+), 269 deletions(-)

More information about healthiar at CRAN
Permanent link

New package fbardl with initial version 1.0.2
Package: fbardl
Title: Fourier Bootstrap ARDL Cointegration Test
Version: 1.0.2
Description: Implements the Fourier Bootstrap Autoregressive Distributed Lag (FBARDL) bounds testing approach for cointegration analysis. Combines the Pesaran, Shin & Smith (2001) <doi:10.1002/jae.616> ARDL bounds testing framework with Fourier terms to capture structural breaks following Yilanci, Bozoklu & Gorus (2020) <doi:10.1080/00036846.2019.1686454>, and bootstrap critical values based on McNown, Sam & Goh (2018) <doi:10.1080/00036846.2017.1366643> and Bertelli, Vacca & Zoia (2022) <doi:10.1016/j.econmod.2022.105987>. Features include automatic lag selection via AIC/BIC, optimal Fourier frequency selection by minimum SSR, long-run and short-run coefficient estimation, diagnostic tests, and dynamic multiplier analysis.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
LazyData: true
URL: https://github.com/muhammedalkhalaf/fbardl
BugReports: https://github.com/muhammedalkhalaf/fbardl/issues
NeedsCompilation: no
Packaged: 2026-03-08 11:05:20 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph] , Merwan Roudane [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:40:02 UTC

More information about fbardl at CRAN
Permanent link

Package dartR.base updated to version 1.2.2 with previous version 1.0.7 dated 2025-10-01

Title: Analysing 'SNP' and 'Silicodart' Data - Basic Functions
Description: Facilitates the import and analysis of 'SNP' (single nucleotide 'polymorphism') and 'silicodart' (presence/absence) data. The main focus is on data generated by 'DarT' (Diversity Arrays Technology), however, data from other sequencing platforms can be used once 'SNP' or related fragment presence/absence data from any source is imported. Genetic datasets are stored in a derived 'genlight' format (package 'adegenet'), that allows for a very compact storage of data and metadata. Functions are available for importing and exporting of 'SNP' and 'silicodart' data, for reporting on and filtering on various criteria (e.g. 'callrate', 'heterozygosity', 'reproducibility', maximum allele frequency). Additional functions are available for visualization (e.g. Principle Coordinate Analysis) and creating a spatial representation using maps. 'dartR.base' is the 'base' package of the 'dartRverse' suits of packages. To install the other packages, we recommend to install the 'dartRverse' package, that su [...truncated...]
Author: Bernd Gruber [aut, cre], Arthur Georges [aut], Jose L. Mijangos [aut], Carlo Pacioni [aut], Diana Robledo-Ruiz [aut], Peter J. Unmack [ctb], Oliver Berry [ctb], Lindsay V. Clark [ctb], Emily Stringer [ctb], Floriaan Devloo-Delva [ctb], Eric Archer [c [...truncated...]
Maintainer: Bernd Gruber <bernd.gruber@canberra.edu.au>

Diff between dartR.base versions 1.0.7 dated 2025-10-01 and 1.2.2 dated 2026-03-12

 DESCRIPTION                               |   25 
 MD5                                       |  613 ++++++++--------
 NAMESPACE                                 |   39 -
 R/gi2gl.R                                 |    1 
 R/gl.He.r                                 |    4 
 R/gl.Ho.r                                 |    4 
 R/gl.add.indmetrics.r                     |    4 
 R/gl.alf.r                                |    6 
 R/gl.allele.freq.r                        |    2 
 R/gl.amova.r                              |    6 
 R/gl.define.pop.r                         |    1 
 R/gl.diagnostics.hwe.r                    |   45 -
 R/gl.dist.ind.r                           |  548 +++++++-------
 R/gl.dist.phylo.r                         |  317 +++++---
 R/gl.dist.pop.r                           |    1 
 R/gl.document.R                           |only
 R/gl.drop.ind.r                           |    1 
 R/gl.drop.loc.r                           |    5 
 R/gl.drop.pop.r                           |   17 
 R/gl.drop.sexlinked.r                     |only
 R/gl.edit.recode.ind.r                    |    1 
 R/gl.edit.recode.pop.r                    |    1 
 R/gl.fbm2gen.r                            |only
 R/gl.fdsim.r                              |    1 
 R/gl.filter.allna.r                       |    1 
 R/gl.filter.callrate.r                    |   21 
 R/gl.filter.excess.het.r                  |    1 
 R/gl.filter.factorloadings.r              |    1 
 R/gl.filter.hamming.r                     |  498 ++++++-------
 R/gl.filter.heterozygosity.r              |    1 
 R/gl.filter.hwe.r                         |    1 
 R/gl.filter.ld.r                          |   30 
 R/gl.filter.locmetric.r                   |    1 
 R/gl.filter.maf.r                         |   25 
 R/gl.filter.monomorphs.r                  |    1 
 R/gl.filter.overshoot.r                   |   62 -
 R/gl.filter.pa.r                          |    1 
 R/gl.filter.rdepth.r                      |    9 
 R/gl.filter.replicates.r                  |only
 R/gl.filter.reproducibility.r             |    5 
 R/gl.filter.secondaries.r                 |    5 
 R/gl.filter.sexlinked.r                   |only
 R/gl.filter.taglength.r                   |    1 
 R/gl.fixed.diff.r                         |    1 
 R/gl.fst.pop.r                            |    6 
 R/gl.gen2fbm.r                            |only
 R/gl.hwe.pop.r                            |    1 
 R/gl.impute.r                             |  262 +++++--
 R/gl.join.r                               |  837 +++++++++++-----------
 R/gl.keep.ind.r                           |    1 
 R/gl.keep.loc.r                           |    1 
 R/gl.keep.pop.r                           |   34 
 R/gl.load.r                               |   10 
 R/gl.make.recode.ind.r                    |    1 
 R/gl.make.recode.pop.r                    |    1 
 R/gl.map.interactive.r                    |   41 -
 R/gl.merge.pop.r                          |    1 
 R/gl.pcoa.plot.r                          |    3 
 R/gl.pcoa.r                               |   40 -
 R/gl.plot.heatmap.r                       |  302 ++++++--
 R/gl.plot.snp.density.r                   |only
 R/gl.print.history.r                      |    1 
 R/gl.propShared.r                         |    5 
 R/gl.random.snp.r                         |    1 
 R/gl.randomize.snps.r                     |    1 
 R/gl.read.PLINK.r                         |  524 +++++++-------
 R/gl.read.csv.r                           |   54 -
 R/gl.read.dart.r                          |   22 
 R/gl.read.fasta.r                         |   33 
 R/gl.read.silicodart.r                    |   25 
 R/gl.read.vcf.r                           |   21 
 R/gl.reassign.ind.r                       |only
 R/gl.reassign.pop.r                       |    3 
 R/gl.recalc.metrics.r                     |    1 
 R/gl.recode.ind.r                         |    1 
 R/gl.recode.pop.r                         |    3 
 R/gl.rename.pop.r                         |    1 
 R/gl.report.allelerich.r                  |  740 +++++++++++++++----
 R/gl.report.allna.r                       |    1 
 R/gl.report.bases.r                       |    1 
 R/gl.report.basics.r                      |    1 
 R/gl.report.callrate.r                    |    1 
 R/gl.report.diversity.r                   |    6 
 R/gl.report.excess.het.r                  |    1 
 R/gl.report.factorloadings.r              |    1 
 R/gl.report.fstat.r                       |    9 
 R/gl.report.hamming.r                     |    7 
 R/gl.report.heterozygosity.r              |   30 
 R/gl.report.hwe.r                         |   22 
 R/gl.report.ld.map.r                      |    1 
 R/gl.report.locmetric.r                   |    1 
 R/gl.report.maf.r                         |    1 
 R/gl.report.monomorphs.r                  |    3 
 R/gl.report.overshoot.r                   |   17 
 R/gl.report.pa.r                          |    1 
 R/gl.report.polyploid_heterozygosity.r    |    6 
 R/gl.report.rdepth.r                      |    1 
 R/gl.report.replicates.r                  |  369 +++++----
 R/gl.report.reproducibility.r             |    3 
 R/gl.report.secondaries.r                 |    1 
 R/gl.report.sexlinked.r                   |only
 R/gl.report.shannon.r                     |    3 
 R/gl.report.taglength.r                   |    1 
 R/gl.sample.r                             |    1 
 R/gl.save.r                               |    7 
 R/gl.select.colors.r                      |    7 
 R/gl.select.shapes.r                      |    1 
 R/gl.smearplot.r                          |   85 ++
 R/gl.sort.r                               |   56 +
 R/gl.subsample.ind.r                      |    8 
 R/gl.subsample.loc.r                      |    1 
 R/gl.subsample.loci.r                     |    1 
 R/gl.test.heterozygosity.r                |   25 
 R/gl.tree.fitch.r                         |    1 
 R/gl.tree.nj.r                            |    3 
 R/gl.write.csv.r                          |    1 
 R/gl2bayesAss.R                           |    1 
 R/gl2bayescan.r                           |    1 
 R/gl2bpp.r                                |    5 
 R/gl2demerelate.r                         |    1 
 R/gl2eigenstrat.r                         |    1 
 R/gl2fasta.r                              |   17 
 R/gl2gapit.r                              |    5 
 R/gl2gds.r                                |    1 
 R/gl2genalex.r                            |    1 
 R/gl2genepop.r                            |    7 
 R/gl2gi.r                                 |    3 
 R/gl2hapmap.r                             |  257 +++++-
 R/gl2hiphop.r                             |    1 
 R/gl2paup.parsimony.r                     |    1 
 R/gl2paup.svdquartets.r                   |    1 
 R/gl2phylip.r                             |    1 
 R/gl2plink.r                              |   18 
 R/gl2related.r                            |    3 
 R/gl2sa.r                                 |  150 +---
 R/gl2snapper.r                            |    7 
 R/gl2structure.r                          |    1 
 R/gl2treemix.r                            |    1 
 R/gl2vcf.r                                |  334 ++++----
 R/theme_dartR.r                           |    6 
 R/utils.allelic.richness.r                |only
 R/utils.basic.stats.r                     |    1 
 R/utils.check.datatype.R                  |    1 
 R/utils.collapse.matrix.r                 |    1 
 R/utils.dart2genlight.r                   |   32 
 R/utils.dartR.class.def.r                 | 1120 ++++++++++++++++++++++++------
 R/utils.dist.binary.r                     |  178 +++-
 R/utils.dist.ind.snp.r                    |  322 ++++++--
 R/utils.heatmap.r                         |only
 R/utils.het.report.r                      |    2 
 R/utils.plink.run.r                       |    2 
 R/utils.recalc.callrate.r                 |    2 
 R/utils.recalc.maf.r                      |    3 
 R/utils.stats.r                           |    2 
 R/zzz.r                                   |   13 
 man/cbind.dartR.Rd                        |   18 
 man/gl.He.Rd                              |   45 -
 man/gl.Ho.Rd                              |   45 -
 man/gl.add.indmetrics.Rd                  |    4 
 man/gl.alf.Rd                             |    6 
 man/gl.allele.freq.Rd                     |    3 
 man/gl.amova.Rd                           |    1 
 man/gl.define.pop.Rd                      |    2 
 man/gl.diagnostics.hwe.Rd                 |   13 
 man/gl.dist.ind.Rd                        |   20 
 man/gl.dist.phylo.Rd                      |  163 ++--
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 man/gl.drop.ind.Rd                        |    2 
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 man/gl.edit.recode.ind.Rd                 |    1 
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 man/gl.fdsim.Rd                           |    1 
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 man/gl.filter.factorloadings.Rd           |    1 
 man/gl.filter.hamming.Rd                  |  110 +-
 man/gl.filter.heterozygosity.Rd           |    1 
 man/gl.filter.hwe.Rd                      |    1 
 man/gl.filter.ld.Rd                       |   16 
 man/gl.filter.locmetric.Rd                |    2 
 man/gl.filter.maf.Rd                      |    2 
 man/gl.filter.monomorphs.Rd               |    2 
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 man/gl.filter.rdepth.Rd                   |    1 
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 man/gl.fst.pop.Rd                         |    1 
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 man/gl.hwe.pop.Rd                         |    1 
 man/gl.impute.Rd                          |   48 +
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 man/gl.keep.ind.Rd                        |    2 
 man/gl.keep.loc.Rd                        |    2 
 man/gl.keep.pop.Rd                        |    2 
 man/gl.load.Rd                            |    5 
 man/gl.make.recode.ind.Rd                 |    2 
 man/gl.make.recode.pop.Rd                 |    1 
 man/gl.map.interactive.Rd                 |    5 
 man/gl.merge.pop.Rd                       |    2 
 man/gl.pcoa.Rd                            |    5 
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 man/gl.plot.heatmap.Rd                    |  118 +++
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 man/gl.prop.shared.Rd                     |    1 
 man/gl.randomize.snps.Rd                  |    2 
 man/gl.read.PLINK.Rd                      |   22 
 man/gl.read.csv.Rd                        |   15 
 man/gl.read.dart.Rd                       |   12 
 man/gl.read.fasta.Rd                      |   25 
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 man/gl.recode.ind.Rd                      |    2 
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 man/gl.rename.pop.Rd                      |    2 
 man/gl.report.allelerich.Rd               |  257 ++++++
 man/gl.report.allna.Rd                    |    1 
 man/gl.report.bases.Rd                    |    1 
 man/gl.report.basics.Rd                   |    2 
 man/gl.report.callrate.Rd                 |    1 
 man/gl.report.diversity.Rd                |    2 
 man/gl.report.excess.het.Rd               |    2 
 man/gl.report.factorloadings.Rd           |    1 
 man/gl.report.fstat.Rd                    |    9 
 man/gl.report.hamming.Rd                  |    3 
 man/gl.report.heterozygosity.Rd           |    8 
 man/gl.report.ld.map.Rd                   |    1 
 man/gl.report.locmetric.Rd                |    1 
 man/gl.report.maf.Rd                      |    1 
 man/gl.report.monomorphs.Rd               |    1 
 man/gl.report.overshoot.Rd                |    1 
 man/gl.report.pa.Rd                       |    1 
 man/gl.report.polyploid_heterozygosity.Rd |    7 
 man/gl.report.rdepth.Rd                   |    1 
 man/gl.report.replicates.Rd               |   75 +-
 man/gl.report.reproducibility.Rd          |    3 
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 man/gl.report.shannon.Rd                  |    3 
 man/gl.report.taglength.Rd                |    1 
 man/gl.sample.Rd                          |    2 
 man/gl.select.colors.Rd                   |    7 
 man/gl.select.shapes.Rd                   |    1 
 man/gl.sim.genotypes.Rd                   |    1 
 man/gl.smearplot.Rd                       |   18 
 man/gl.sort.Rd                            |   44 -
 man/gl.subsample.ind.Rd                   |    3 
 man/gl.subsample.loc.Rd                   |    2 
 man/gl.subsample.loci.Rd                  |    1 
 man/gl.test.heterozygosity.Rd             |    1 
 man/gl.tree.fitch.Rd                      |    1 
 man/gl.tree.nj.Rd                         |    3 
 man/gl.write.csv.Rd                       |    1 
 man/gl2bayesAss.Rd                        |    3 
 man/gl2bayescan.Rd                        |    3 
 man/gl2bpp.Rd                             |    7 
 man/gl2demerelate.Rd                      |    3 
 man/gl2eigenstrat.Rd                      |    3 
 man/gl2fasta.Rd                           |   10 
 man/gl2faststructure.Rd                   |    2 
 man/gl2gds.Rd                             |    3 
 man/gl2genalex.Rd                         |    3 
 man/gl2genepop.Rd                         |    4 
 man/gl2geno.Rd                            |    5 
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 man/gl2hiphop.Rd                          |    3 
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 man/gl2paup.svdquartets.Rd                |    1 
 man/gl2phylip.Rd                          |    3 
 man/gl2plink.Rd                           |   13 
 man/gl2related.Rd                         |    5 
 man/gl2sa.Rd                              |   32 
 man/gl2snapper.Rd                         |   32 
 man/gl2structure.Rd                       |    3 
 man/gl2treemix.Rd                         |    3 
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 man/utils.dist.binary.Rd                  |    1 
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 man/utils.jackknife.Rd                    |    1 
 man/utils.n.var.invariant.Rd              |    1 
 man/utils.plot.save.Rd                    |    1 
 man/utils.read.fasta.Rd                   |    1 
 man/utils.read.ped.Rd                     |    1 
 man/utils.recalc.avgpic.Rd                |    1 
 man/utils.recalc.callrate.Rd              |    1 
 man/utils.recalc.freqhets.Rd              |    1 
 man/utils.recalc.freqhomref.Rd            |    1 
 man/utils.recalc.freqhomsnp.Rd            |    1 
 man/utils.recalc.maf.Rd                   |    1 
 man/utils.reset.flags.Rd                  |    1 
 man/utils.transpose.Rd                    |    1 
 man/utils.vcfr2genlight.polyploid.Rd      |    1 
 320 files changed, 6734 insertions(+), 3295 deletions(-)

More information about dartR.base at CRAN
Permanent link

New package boe with initial version 0.1.0
Package: boe
Title: Download Data from the Bank of England Statistical Database
Version: 0.1.0
Description: Provides functions to download and tidy statistical data published by the Bank of England <https://www.bankofengland.co.uk>. Covers Bank Rate, SONIA, gilt yields, exchange rates, mortgage rates, mortgage approvals, consumer credit, and money supply. Series are fetched from the Bank of England Interactive Statistical Database using its CSV endpoint. Data is cached locally between sessions.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Imports: cli (>= 3.6.0), httr2 (>= 1.0.0), tools
Suggests: testthat (>= 3.0.0), ggplot2, scales
URL: https://github.com/charlescoverdale/boe
BugReports: https://github.com/charlescoverdale/boe/issues
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-03-08 17:24:20 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 09:00:23 UTC

More information about boe at CRAN
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New package tempodisco with initial version 2.1.0
Package: tempodisco
Title: Temporal Discounting Models
Description: Tools for working with temporal discounting data, designed for behavioural researchers to simplify data cleaning/scoring and model fitting. The package implements widely used methods such as computing indifference points from adjusting amount task (Frye et al., 2016, <doi:10.3791/53584>), testing for non-systematic discounting per the criteria of Johnson & Bickel (2008, <doi:10.1037/1064-1297.16.3.264>), scoring questionnaires according to the methods of Kirby et al. (1999, <doi:10.1037//0096-3445.128.1.78>) and Wileyto et al (2004, <doi:10.3758/BF03195548>), Bayesian model selection using a range of discount functions (Franck et al., 2015, <doi:10.1002/jeab.128>), drift diffusion models of discounting (Peters & D'Esposito, 2020, <doi:10.1371/journal.pcbi.1007615>), and model-agnostic measures of discounting such as area under the curve (Myerson et al., 2001, <doi:10.1901/jeab.2001.76-235>) and ED50 (Yoon & Higgins, 2008, <doi:10 [...truncated...]
Author: Isaac Kinley [aut, cre]
Maintainer: Isaac Kinley <isaac.kinley@gmail.com>
License: GPL-3
Version: 2.1.0
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, graphics, methods, grDevices, RWiener
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
URL: https://kinleyid.github.io/tempodisco/
BugReports: https://github.com/kinleyid/tempodisco/issues
NeedsCompilation: no
Packaged: 2026-03-07 15:05:39 UTC; isaac
Repository: CRAN
Date/Publication: 2026-03-12 08:00:02 UTC

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New package PubMatrixR with initial version 1.0.0
Package: PubMatrixR
Title: PubMed Pairwise Co-Occurrence Matrix Construction and Visualization
Version: 1.0.0
Description: Queries the 'NCBI' (National Center for Biotechnology Information) Entrez 'E-utilities' API to count pairwise co-occurrences between two sets of terms in 'PubMed' or 'PubMed Central'. It returns a matrix-like data frame of publication counts and can export hyperlink-enabled results in CSV or ODS format. The package also provides heatmap helpers for exploratory visualization of overlap patterns. Based on the method described in Becker et al. (2003) "PubMatrix: a tool for multiplex literature mining" <doi:10.1186/1471-2105-4-61>.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/ToledoEM/PubMatrixR-v2
BugReports: https://github.com/ToledoEM/PubMatrixR-v2/issues
Imports: pbapply, pheatmap, readODS, xml2
Suggests: dplyr, ggplot2, kableExtra, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-07 16:24:20 UTC; enrique
Author: Tyler Laird [aut], Enrique Toledo [aut, cre]
Maintainer: Enrique Toledo <enriquetoledo@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:00:08 UTC

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Package mixtur updated to version 1.2.3 with previous version 1.2.2 dated 2025-07-21

Title: Modelling Continuous Report Visual Short-Term Memory Studies
Description: A set of utility functions for analysing and modelling data from continuous report short-term memory experiments using either the 2-component mixture model of Zhang and Luck (2008) <doi:10.1038/nature06860> or the 3-component mixture model of Bays et al. (2009) <doi:10.1167/9.10.7>. Users are also able to simulate from these models.
Author: Jim Grange [aut, cre] , Stuart B. Moore [aut] , Ed D. J. Berry [ctb], Vencislav Popov [ctb]
Maintainer: Jim Grange <grange.jim@gmail.com>

Diff between mixtur versions 1.2.2 dated 2025-07-21 and 1.2.3 dated 2026-03-12

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Package rswipl updated to version 10.1.5 with previous version 10.1.4 dated 2026-02-23

Title: Embed 'SWI'-'Prolog'
Description: Interface to 'SWI'-'Prolog', <https://www.swi-prolog.org/>. This package is normally not loaded directly, please refer to package 'rolog' instead. The purpose of this package is to provide the 'Prolog' runtime on systems that do not have a software installation of 'SWI'-'Prolog'.
Author: Matthias Gondan [aut, com, cre] , Jan Wielemaker [ctb, cph] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

Diff between rswipl versions 10.1.4 dated 2026-02-23 and 10.1.5 dated 2026-03-12

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Package rpanel updated to version 1.1-6 with previous version 1.1-5.2 dated 2023-02-07

Title: Simple Interactive Controls for R using the 'tcltk' Package
Description: A set of functions to build simple GUI controls for R functions. These are built on the 'tcltk' package. Uses could include changing a parameter on a graph by animating it with a slider or a "doublebutton", up to more sophisticated control panels. Some functions for specific graphical tasks, referred to as 'cartoons', are provided.
Author: Adrian Bowman [aut, cre, cph], Ewan Crawford [aut], Gavin Alexander [aut], Richard Bowman [aut]
Maintainer: Adrian Bowman <adrian.bowman@glasgow.ac.uk>

Diff between rpanel versions 1.1-5.2 dated 2023-02-07 and 1.1-6 dated 2026-03-12

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More information about rpanel at CRAN
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Package msigdbr updated to version 26.1.0 with previous version 25.1.1 dated 2025-07-21

Title: MSigDB Gene Sets for Multiple Organisms in a Tidy Data Format
Description: Provides the 'Molecular Signatures Database' (MSigDB) gene sets typically used with the 'Gene Set Enrichment Analysis' (GSEA) software (Subramanian et al. 2005 <doi:10.1073/pnas.0506580102>, Liberzon et al. 2015 <doi:10.1016/j.cels.2015.12.004>, Castanza et al. 2023 <doi:10.1038/s41592-023-02014-7>) as an R data frame. The package includes the human genes as listed in MSigDB as well as the corresponding symbols and IDs for frequently studied model organisms such as mouse, rat, pig, fly, and yeast.
Author: Igor Dolgalev [aut, cre]
Maintainer: Igor Dolgalev <igor.dolgalev@nyumc.org>

Diff between msigdbr versions 25.1.1 dated 2025-07-21 and 26.1.0 dated 2026-03-12

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More information about msigdbr at CRAN
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Package daltoolbox updated to version 1.3.727 with previous version 1.3.717 dated 2026-02-10

Title: Leveraging Experiment Lines to Data Analytics
Description: The natural increase in the complexity of current research experiments and data demands better tools to enhance productivity in Data Analytics. The package is a framework designed to address the modern challenges in data analytics workflows. The package is inspired by Experiment Line concepts. It aims to provide seamless support for users in developing their data mining workflows by offering a uniform data model and method API. It enables the integration of various data mining activities, including data preprocessing, classification, regression, clustering, and time series prediction. It also offers options for hyper-parameter tuning and supports integration with existing libraries and languages. Overall, the package provides researchers with a comprehensive set of functionalities for data science, promoting ease of use, extensibility, and integration with various tools and libraries. Information on Experiment Line is based on Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_2 [...truncated...]
Author: Eduardo Ogasawara [aut, ths, cre] , Ana Carolina Sá [aut], Antonio Castro [aut], Caio Santos [aut], Diego Carvalho [ctb], Diego Salles [aut], Eduardo Bezerra [ctb], Esther Pacitti [ctb], Fabio Porto [ctb], Janio Lima [aut], Lucas Tavares [aut], Ra [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

Diff between daltoolbox versions 1.3.717 dated 2026-02-10 and 1.3.727 dated 2026-03-12

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Wed, 11 Mar 2026

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

Title: Programmatic Interface to 'Orthanc' DICOM Servers
Description: An R Interface to 'Orthanc' DICOM servers for medical imaging workflows. 'Orthanc' is a lightweight, open-source DICOM server that exposes a comprehensive REST API for managing, querying, retrieving, and modifying DICOM resources (<https://www.orthanc-server.com>). The goal of this package is to provide comprehensive and user-friendly access to the 'Orthanc' REST API, designed to align with idiomatic R workflows while preserving the structure and semantics of DICOM resources.
Author: Matthew T. Warkentin [aut, cre, cph]
Maintainer: Matthew T. Warkentin <matthew.warkentin@ucalgary.ca>

Diff between orthanc versions 0.1.0 dated 2026-03-03 and 0.2.0 dated 2026-03-11

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Package baseq updated to version 0.2.0 with previous version 0.1.4 dated 2023-05-03

Title: Basic Sequence Processing Tool for Biological Data
Description: Primarily created as an easy and understanding way to do basic sequences surrounding the central dogma of molecular biology.
Author: Ambu Vijayan [aut, cre] , J. Sreekumar [aut]
Maintainer: Ambu Vijayan <ambuvjyn@gmail.com>

Diff between baseq versions 0.1.4 dated 2023-05-03 and 0.2.0 dated 2026-03-11

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Package IxPopDyMod updated to version 0.4.0 with previous version 0.3.0 dated 2023-10-23

Title: Framework for Tick Population and Infection Modeling
Description: Code to specify, run, and then visualize and analyze the results of Ixodidae (hard-bodied ticks) population and infection dynamics models. Such models exist in the literature, but the source code to run them is not always available. 'IxPopDyMod' provides an easy way for these models to be written and shared.
Author: Myles Stokowski [aut, cre], David Allen [aut]
Maintainer: Myles Stokowski <mylesstokowski@gmail.com>

Diff between IxPopDyMod versions 0.3.0 dated 2023-10-23 and 0.4.0 dated 2026-03-11

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New package SHRED with initial version 1.0.0
Package: SHRED
Title: Setwise Hierarchical Rate of Erroneous Discovery
Version: 1.0.0
Maintainer: Toby Kenney <tkenney@mathstat.dal.ca>
Description: Setwise Hierarchical Rate of Erroneous Discovery (SHRED) methods for setwise variable selection with false discovery rate (FDR) control. Setwise variable selection means that sets of variables may be selected when the true variable cannot be identified. This allows us to maintain FDR control but increase power. Details of the SHRED methods are in Organ, Kenney & Gu (2026) <doi:10.48550/arXiv.2603.02160>.
License: GPL-3
Encoding: UTF-8
Imports: graphics, stats, ClustOfVar
NeedsCompilation: no
Packaged: 2026-03-07 12:42:44 UTC; tkenney
Author: Sarah Organ [aut], Toby Kenney [cre], Hong Gu [aut]
Repository: CRAN
Date/Publication: 2026-03-11 20:00:03 UTC

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New package rmsBMA with initial version 0.1.1
Package: rmsBMA
Title: Reduced Model Space Bayesian Model Averaging
Version: 0.1.1
Description: Implements Bayesian model averaging for settings with many candidate regressors relative to the available sample size, including cases where the number of regressors exceeds the number of observations. By restricting attention to models with at most M regressors, the package supports reduced model space inference, thereby preserving degrees of freedom for estimation. It provides posterior summaries, Extreme Bounds Analysis, model selection procedures, joint inclusion measures, and graphical tools for exploring model probabilities, model size distributions, and coefficient distributions. The methodological approach follows Doppelhofer and Weeks (2009) <doi:10.1002/jae.1046>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Imports: ggplot2, ggpubr, grid, gridExtra, Matrix, stats, tidyr, utils
Depends: R (>= 3.5.0)
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-06 19:53:25 UTC; becku
Author: Krzysztof Beck [aut, cre]
Maintainer: Krzysztof Beck <beckkrzysztof@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-11 19:30:03 UTC

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New package badp with initial version 0.4.0
Package: badp
Title: Bayesian Averaging for Dynamic Panels
Version: 0.4.0
Description: Implements Bayesian model averaging for dynamic panels with weakly exogenous regressors as described in the paper by Moral-Benito (2013, <doi:10.1080/07350015.2013.818003>). The package provides functions to estimate dynamic panel data models and analyze the results of the estimation.
License: MIT + file LICENSE
URL: https://badp-project.github.io/bdsm/, https://github.com/badp-project/bdsm
BugReports: https://github.com/badp-project/bdsm/issues
Encoding: UTF-8
LazyData: true
Suggests: pkgdown, rmarkdown, spelling, testthat (>= 3.0.0)
Imports: dplyr, ggplot2, ggpubr, grid, gridExtra, knitr, magrittr, optimbase, parallel, pbapply, Rcpp, RcppArmadillo, rje, rlang, rootSolve, stats, tidyr, tidyselect
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Depends: R (>= 3.5)
Language: en-US
NeedsCompilation: yes
Packaged: 2026-03-06 22:15:30 UTC; admin
Author: Krzysztof Beck [aut], Piotr Cukier [aut], Marcin Dubel [aut, cre], Mariusz Szczepanczyk [aut], Mateusz Wyszynski [aut]
Maintainer: Marcin Dubel <marcindubel@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-11 19:30:09 UTC

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New package ardlverse with initial version 1.1.2
Package: ardlverse
Title: Comprehensive ARDL Modeling Framework: Panel, Bootstrap, Quantile-Nonlinear, and Fourier Extensions
Version: 1.1.2
Date: 2026-02-26
Description: A unified framework for Autoregressive Distributed Lag (ARDL) modeling and cointegration analysis. Implements Panel ARDL with Pooled Mean Group (PMG), Mean Group (MG), and Dynamic Fixed Effects (DFE) estimators following Pesaran, Shin & Smith (1999) <doi:10.1002/jae.616>. Provides bootstrap-based bounds testing per Pesaran, Shin & Smith (2001) <doi:10.1002/jae.616>. Includes Quantile Nonlinear ARDL (QNARDL) combining distributional and asymmetric effects based on Shin, Yu & Greenwood-Nimmo (2014) <doi:10.1007/978-1-4899-8008-3_9>, and Fourier ARDL for modeling smooth structural breaks following Enders & Lee (2012) <doi:10.1016/j.econlet.2012.05.019>. Features include Augmented ARDL (AARDL) with deferred t and F tests, Multiple-Threshold NARDL for complex asymmetries, Rolling/Recursive ARDL for time-varying relationships, and Panel NARDL for nonlinear panel cointegration. All methods include comprehensive diagnostics, publication-ready outputs, an [...truncated...]
License: GPL-3
URL: https://github.com/muhammedalkhalaf/ardlverse
BugReports: https://github.com/muhammedalkhalaf/ardlverse/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: stats, MASS, quantreg, lmtest, ggplot2, gridExtra, graphics, grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr
NeedsCompilation: no
Packaged: 2026-03-07 04:24:37 UTC; acad_
Author: Muhammad Abdullah Alkhalaf [aut, cre] , Merwan Roudane [ctb]
Maintainer: Muhammad Abdullah Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-11 19:50:02 UTC

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Package shinyBS updated to version 0.64.0 with previous version 0.63.0 dated 2025-12-17

Title: Extra Twitter Bootstrap Components for Shiny
Description: Adds easy access to additional Twitter Bootstrap components to Shiny.
Author: Eric Bailey [aut], Federico Marini [cre, ctb] , Jesse Koops [ctb]
Maintainer: Federico Marini <marinif@uni-mainz.de>

Diff between shinyBS versions 0.63.0 dated 2025-12-17 and 0.64.0 dated 2026-03-11

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Package rdcmchecks updated to version 0.1.1 with previous version 0.1.0 dated 2025-09-15

Title: Common Argument Checks for 'r-dcm' Packages
Description: Many packages in the 'r-dcm' family take similar arguments, which are checked for expected structures and values. Rather than duplicating code across several packages, commonly used check functions are included here. This package can then be imported to access the check functions in other packages.
Author: W. Jake Thompson [aut, cre] , University of Kansas [cph], Institute of Education Sciences [fnd], Accessible Teaching, Learning, and Assessment Systems [fnd]
Maintainer: W. Jake Thompson <wjakethompson@gmail.com>

Diff between rdcmchecks versions 0.1.0 dated 2025-09-15 and 0.1.1 dated 2026-03-11

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Package prodlim updated to version 2026.03.11 with previous version 2025.04.28 dated 2025-04-28

Title: Product-Limit Estimation for Censored Event History Analysis
Description: Fast and user friendly implementation of nonparametric estimators for censored event history (survival) analysis. Kaplan-Meier and Aalen-Johansen method.
Author: Thomas A. Gerds [aut, cre]
Maintainer: Thomas A. Gerds <tag@biostat.ku.dk>

Diff between prodlim versions 2025.04.28 dated 2025-04-28 and 2026.03.11 dated 2026-03-11

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More information about prodlim at CRAN
Permanent link

New package WBI with initial version 0.1.0
Package: WBI
Title: Wasserstein Bipolarization Index
Version: 0.1.0
Description: Computation of the Wasserstein Bipolarization Index as described in Lee and Sobel (Forthcoming) <doi:10.48550/arXiv.2408.03331>. Provides both asymptotic (Sommerfeld, 2017 <https://ediss.uni-goettingen.de/bitstream/handle/11858/00-1735-0000-0023-3FA1-C/DissertationSommerfeldRev.pdf?sequence=1>) and bootstrap methods (Efron and Narasimhan, 2020 <doi:10.1080/10618600.2020.1714633>) for calculating confidence intervals.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: transport, dplyr, bcaboot
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-06 16:32:31 UTC; hanelee
Author: Hane Lee [aut, cre]
Maintainer: Hane Lee <hl3333@columbia.edu>
Repository: CRAN
Date/Publication: 2026-03-11 16:40:11 UTC

More information about WBI at CRAN
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Package rjd3tramoseats updated to version 3.7.1 with previous version 3.6.0 dated 2026-01-27

Title: Seasonal Adjustment with TRAMO-SEATS in 'JDemetra+' 3.x
Description: Interface to 'JDemetra+' 3.x (<https://github.com/jdemetra>) time series analysis software. It offers full access to options and outputs of 'TRAMO-SEATS' (Time series Regression with ARIMA noise, Missing values and Outliers - Signal Extraction in ARIMA Time Series), including 'TRAMO' modelling (ARIMA model with outlier detection and trading days adjustment). ARIMA = AutoRegressive Integrated Moving Average.
Author: Jean Palate [aut], Alain Quartier-la-Tente [aut] , Tanguy Barthelemy [aut, cre, art], Anna Smyk [aut]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>

Diff between rjd3tramoseats versions 3.6.0 dated 2026-01-27 and 3.7.1 dated 2026-03-11

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Permanent link

New package RFmstate with initial version 0.1.2
Package: RFmstate
Title: Random Forest-Based Multistate Survival Analysis
Version: 0.1.2
Author: Yiqing Chen [aut, cre]
Maintainer: Yiqing Chen <y.chen@tamu.edu>
Description: Fits cause-specific random survival forests for flexible multistate survival analysis with covariate-adjusted transition probabilities computed via product-integral. State transitions are modeled by random forests. Subject-specific transition probability matrices are assembled from predicted cumulative hazards using the product-integral formula. Also provides a standalone Aalen-Johansen nonparametric estimator as a covariate-free baseline. Supports arbitrary state spaces with any number of states (three or more) and any set of allowed transitions, applicable to clinical trials, disease progression, reliability engineering, and other domains where subjects move among discrete states over time. Provides per-transition feature importance, bias-variance diagnostics, and comprehensive visualizations. Handles right censoring and competing transitions. Methods are described in Ishwaran et al. (2008) <doi:10.1214/08-AOAS169> for random survival forests, Putter et al. (2007) <doi:10.10 [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: survival, ranger, stats, graphics, grDevices, utils
Suggests: knitr, rmarkdown, mstate, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-27 16:41:43 UTC; y.chen
Repository: CRAN
Date/Publication: 2026-03-11 16:40:16 UTC

More information about RFmstate at CRAN
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Package nuggets updated to version 2.2.0 with previous version 2.1.2 dated 2026-02-05

Title: Extensible Framework for Data Pattern Exploration
Description: A framework for systematic exploration of association rules (Agrawal et al., 1994, <https://www.vldb.org/conf/1994/P487.PDF>), contrast patterns (Chen, 2022, <doi:10.48550/arXiv.2209.13556>), emerging patterns (Dong et al., 1999, <doi:10.1145/312129.312191>), subgroup discovery (Atzmueller, 2015, <doi:10.1002/widm.1144>), and conditional correlations (Hájek, 1978, <doi:10.1007/978-3-642-66943-9>). User-defined functions may also be supplied to guide custom pattern searches. Supports both crisp (Boolean) and fuzzy data. Generates candidate conditions expressed as elementary conjunctions, evaluates them on a dataset, and inspects the induced sub-data for statistical, logical, or structural properties such as associations, correlations, or contrasts. Includes methods for visualization of logical structures and supports interactive exploration through integrated Shiny applications.
Author: Michal Burda [aut, cre]
Maintainer: Michal Burda <michal.burda@osu.cz>

Diff between nuggets versions 2.1.2 dated 2026-02-05 and 2.2.0 dated 2026-03-11

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More information about nuggets at CRAN
Permanent link

Package mvtnorm updated to version 1.3-5 with previous version 1.3-3 dated 2025-01-10

Title: Multivariate Normal and t Distributions
Description: Computes multivariate normal and t probabilities, quantiles, random deviates, and densities. Log-likelihoods for multivariate Gaussian models and Gaussian copulae parameterised by Cholesky factors of covariance or precision matrices are implemented for interval-censored and exact data, or a mix thereof. Score functions for these log-likelihoods are available. A class representing multiple lower triangular matrices and corresponding methods are part of this package.
Author: Alan Genz [aut], Frank Bretz [aut], Tetsuhisa Miwa [aut], Xuefei Mi [aut], Friedrich Leisch [ctb], Fabian Scheipl [ctb], Bjoern Bornkamp [ctb] , Martin Maechler [ctb] , Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between mvtnorm versions 1.3-3 dated 2025-01-10 and 1.3-5 dated 2026-03-11

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New package ModalCens with initial version 0.1.0
Package: ModalCens
Title: Parametric Modal Regression with Right Censoring
Version: 0.1.0
Description: Implements parametric modal regression for continuous positive distributions of the exponential family under right censoring. Provides functions to link the conditional mode to a linear predictor using reparameterizations for Gamma, Beta, Weibull, and Inverse Gaussian families. Includes maximum likelihood estimation via numerical optimization, asymptotic inference based on the observed Fisher information matrix, and model diagnostics using randomized quantile residuals.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, graphics
URL: https://github.com/chedgala/ModalCens
BugReports: https://github.com/chedgala/ModalCens/issues
NeedsCompilation: no
Packaged: 2026-03-06 18:12:16 UTC; chedgala
Author: Christian Galarza [aut, cre], Victor Lachos [aut]
Maintainer: Christian Galarza <chedgala@espol.edu.ec>
Repository: CRAN
Date/Publication: 2026-03-11 16:40:22 UTC

More information about ModalCens at CRAN
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New package ICEHmeasures with initial version 1.0.1
Package: ICEHmeasures
Title: The Equiplot Graph and Complex Inequality Measures
Version: 1.0.1
Description: Generates the equiplot, an iconic dot-plot graph for visualizing inequalities, as well as three complex inequality measures: the slope index of inequality, the concentration index and the mean absolute difference to the mean. For more details see World Health Organization (2013) <https://www.who.int/docs/default-source/gho-documents/health-equity/handbook-on-health-inequality-monitoring/handbook-on-health-inequality-monitoring.pdf>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, tidyr, tibble, ggplot2 (>= 3.4.0), survey, rlang, grDevices, car
Suggests: viridisLite
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-06 19:30:43 UTC; Leo
Author: Leonardo Ferreira [aut, cre], Luisa Arroyave [aut]
Maintainer: Leonardo Ferreira <lferreira@equidade.org>
Repository: CRAN
Date/Publication: 2026-03-11 16:50:20 UTC

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New package glasstabs with initial version 0.1.0
Package: glasstabs
Title: Animated Glass-Style Tabs and Multi-Select Filter for 'Shiny'
Version: 0.1.0
Description: Tools for creating animated glassmorphism-style tab navigation and multi-select dropdown filters in 'shiny' applications. The package provides a tab navigation component and a searchable multi-select widget with multiple checkbox indicator styles, select-all controls, and customizable colour themes. The widgets are compatible with standard 'shiny' layouts and 'bs4Dash' dashboards.
License: MIT + file LICENSE
URL: https://github.com/PrigasG/glasstabs, https://prigasg.github.io/glasstabs/
BugReports: https://github.com/PrigasG/glasstabs/issues
Imports: htmltools (>= 0.5.0), shiny (>= 1.7.0)
Suggests: bs4Dash, knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-06 19:28:24 UTC; priga
Author: George Arthur [aut, cre]
Maintainer: George Arthur <prigasgenthian48@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-11 16:50:08 UTC

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New package earthUI with initial version 0.1.1
Package: earthUI
Title: Interactive 'shiny' GUI for the 'earth' Package
Version: 0.1.1
Description: Provides a 'shiny'-based graphical user interface for the 'earth' package, enabling interactive building and exploration of Multivariate Adaptive Regression Splines (MARS) models. Features include data import from CSV and 'Excel' files, automatic detection of categorical variables, interactive control of interaction terms via an allowed matrix, comprehensive model diagnostics with variable importance and partial dependence plots, and publication-quality report generation via 'Quarto'.
License: AGPL (>= 3)
URL: https://github.com/wcraytor/earthUI
BugReports: https://github.com/wcraytor/earthUI/issues
Depends: R (>= 4.1.0)
Imports: earth (>= 5.3.0), ggplot2, readxl, shiny, stats, tools, utils
Suggests: bslib, callr, DBI, DT, jsonlite, knitr, plotly, quarto, rmarkdown, RSQLite, showtext, sysfonts, testthat (>= 3.0.0), writexl
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-06 19:24:12 UTC; claude-code
Author: William Craytor [aut, cre]
Maintainer: William Craytor <bcraytor@proton.me>
Repository: CRAN
Date/Publication: 2026-03-11 16:50:14 UTC

More information about earthUI at CRAN
Permanent link

Package rtestim updated to version 1.0.2 with previous version 1.0.1 dated 2025-10-24

Title: Estimate the Effective Reproductive Number with Trend Filtering
Description: Use trend filtering, a type of regularized nonparametric regression, to estimate the instantaneous reproduction number, also called Rt. This value roughly says how many new infections will result from each new infection today. Values larger than 1 indicate that an epidemic is growing while those less than 1 indicate decline. For more details about this methodology, see Liu, Cai, Gustafson, and McDonald (2024) <doi:10.1371/journal.pcbi.1012324>.
Author: Daniel J. McDonald [aut, cre, cph], Jiaping Liu [aut], Zhenglun Cai [ctb]
Maintainer: Daniel J. McDonald <daniel@stat.ubc.ca>

Diff between rtestim versions 1.0.1 dated 2025-10-24 and 1.0.2 dated 2026-03-11

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Package ipd updated to version 0.4.1 with previous version 0.4.0 dated 2026-03-06

Title: Inference on Predicted Data
Description: Performs valid statistical inference on predicted data (IPD) using recent methods, where for a subset of the data, the outcomes have been predicted by an algorithm. Provides a wrapper function with specified defaults for the type of model and method to be used for estimation and inference. Further provides methods for tidying and summarizing results. Salerno et al., (2025) <doi:10.1093/bioinformatics/btaf055>.
Author: Stephen Salerno [aut, cre, cph] , Jiacheng Miao [aut], Awan Afiaz [aut], Kentaro Hoffman [aut], Jesse Gronsbell [aut], Jianhui Gao [aut], David Cheng [aut], Anna Neufeld [aut], Qiongshi Lu [aut], Tyler H McCormick [aut], Jeffrey T Leek [aut]
Maintainer: Stephen Salerno <ssalerno@fredhutch.org>

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Package bayesics updated to version 2.1.1 with previous version 2.1.0 dated 2026-02-20

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

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Package DDESONN updated to version 7.1.11 with previous version 7.1.9 dated 2026-03-03

Title: A Deep Dynamic Experimental Self-Organizing Neural Network Framework
Description: Provides a fully native R deep learning framework for constructing, training, evaluating, and inspecting Deep Dynamic Ensemble Self Organizing Neural Networks at research scale. The core engine is an object oriented R6 class-based implementation with explicit control over layer layout, dimensional flow, forward propagation, back propagation, and transparent optimizer state updates. The framework does not rely on external deep learning back ends, enabling direct inspection of model state, reproducible numerical behavior, and fine grained architectural control without requiring compiled dependencies or graphics processing unit specific run times. Users can define dimension agnostic single layer or deep multi-layer networks without hard coded architecture limits, with per layer configuration vectors for activation functions, derivatives, dropout behavior, and initialization strategies automatically aligned to network depth through controlled replication or truncation. Reproducible workflo [...truncated...]
Author: Mathew William Armitage Fok [aut, cre]
Maintainer: Mathew William Armitage Fok <quiksilver67213@yahoo.com>

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Package cpmr updated to version 0.1.1 with previous version 0.1.0 dated 2024-10-06

Title: Connectome Predictive Modelling in R
Description: Connectome Predictive Modelling (CPM) (Shen et al. (2017) <doi:10.1038/nprot.2016.178>) is a method to predict individual differences in behaviour from brain functional connectivity. 'cpmr' provides a simple yet efficient implementation of this method.
Author: Liang Zhang [aut, cre]
Maintainer: Liang Zhang <psychelzh@outlook.com>

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Package wrProteo updated to version 2.0.0.2 with previous version 1.13.3 dated 2025-08-22

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 GGIRread updated to version 1.0.8 with previous version 1.0.7 dated 2025-11-26

Title: Wearable Accelerometer Data File Readers
Description: Reads data collected from wearable acceleratometers as used in sleep and physical activity research. Currently supports file formats: binary data from 'GENEActiv' <https://activinsights.com/>, .bin-format from GENEA devices (not for sale), and .cwa-format from 'Axivity' <https://axivity.com>. Further, it has functions for reading text files with epoch level aggregates from 'Actical', 'Fitbit', 'Actiwatch', 'ActiGraph', and 'PhilipsHealthBand'. Primarily designed to complement R package GGIR <https://CRAN.R-project.org/package=GGIR>.
Author: Vincent T van Hees [aut, cre], Patrick Bos [aut] , Lena Kushleyeva [ctb], Jing Hua Zhao [ctb], Evgeny Mirkes [ctb], Dan Jackson [ctb], Jairo H Migueles [ctb], Medical Research Council UK [cph, fnd], Accelting [cph, fnd]
Maintainer: Vincent T van Hees <v.vanhees@accelting.com>

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Package blocking updated to version 1.0.2 with previous version 1.0.1 dated 2025-06-18

Title: Various Blocking Methods for Entity Resolution
Description: The goal of 'blocking' is to provide blocking methods for record linkage and deduplication using approximate nearest neighbour (ANN) algorithms and graph techniques. It supports multiple ANN implementations via 'rnndescent', 'RcppHNSW', 'RcppAnnoy', and 'mlpack' packages, and provides integration with the 'reclin2' package. The package generates shingles from character strings and similarity vectors for record comparison, and includes evaluation metrics for assessing blocking performance including false positive rate (FPR) and false negative rate (FNR) estimates. For details see: Papadakis et al. (2020) <doi:10.1145/3377455>, Steorts et al. (2014) <doi:10.1007/978-3-319-11257-2_20>, Dasylva and Goussanou (2021) <https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X202100200002>, Dasylva and Goussanou (2022) <doi:10.1007/s42081-022-00153-3>.
Author: Maciej Beresewicz [aut, cre] , Adam Struzik [aut, ctr]
Maintainer: Maciej Beresewicz <maciej.beresewicz@ue.poznan.pl>

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Package accrualPlot updated to version 1.0.10 with previous version 1.0.7 dated 2022-08-16

Title: Accrual Plots and Predictions for Clinical Trials
Description: Tracking accrual in clinical trials is important for trial success. If accrual is too slow, the trial will take too long and be too expensive. If accrual is much faster than expected, time sensitive tasks such as the writing of statistical analysis plans might need to be rushed. 'accrualPlot' provides functions to aid the tracking of accrual and predict when a trial will reach it's intended sample size.
Author: Lukas Buetikofer [cre, aut], Alan G. Haynes [aut]
Maintainer: Lukas Buetikofer <lukas.buetikofer@unibe.ch>

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Package WaterBalanceR updated to version 0.1.20 with previous version 0.1.19 dated 2025-12-19

Title: Calculate High Resolution Water Balance of Starch Potatoes
Description: Calculates the water balance of starch potatoes from Normalized Distance Vegetation Index (NDVI) images, German Weather Service (DWD) reference evapotranspiration, German Weather Service RADOLAN precipitation data and irrigation information. For more details see Piernicke et al. (2025) <doi:10.3390/rs17183227>.
Author: Thomas Piernicke [aut, cre]
Maintainer: Thomas Piernicke <thomasp@gfz.de>

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Package units updated to version 1.0-1 with previous version 1.0-0 dated 2025-10-09

Title: Measurement Units for R Vectors
Description: Support for measurement units in R vectors, matrices and arrays: automatic propagation, conversion, derivation and simplification of units; raising errors in case of unit incompatibility. Compatible with the POSIXct, Date and difftime classes. Uses the UNIDATA udunits library and unit database for unit compatibility checking and conversion. Documentation about 'units' is provided in the paper by Pebesma, Mailund & Hiebert (2016, <doi:10.32614/RJ-2016-061>), included in this package as a vignette; see 'citation("units")' for details.
Author: Edzer Pebesma [aut, cre] , Thomas Mailund [aut], Tomasz Kalinowski [aut], James Hiebert [ctb], Inaki Ucar [aut] , Thomas Lin Pedersen [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package sumer updated to version 1.3.0 with previous version 1.2.0 dated 2026-02-28

Title: Sumerian Cuneiform Text Analysis
Description: Provides functions for converting transliterated Sumerian texts to sign names and cuneiform characters, creating and querying dictionaries, analyzing the structure of Sumerian words, and creating translations. Includes a built-in dictionary and supports both forward lookup (Sumerian to English) and reverse lookup (English to Sumerian).
Author: Robin Wellmann [aut, cre]
Maintainer: Robin Wellmann <ro.wellmann@gmail.com>

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Package rjd3x13 updated to version 3.7.1 with previous version 3.6.0 dated 2026-01-27

Title: Seasonal Adjustment with 'X-13' in 'JDemetra+' 3.x
Description: R Interface to 'JDemetra+' 3.x (<https://github.com/jdemetra>) time series analysis software. It offers full access to options and outputs of 'X-13', including Reg-ARIMA modelling (automatic AutoRegressive Integrated Moving Average (ARIMA) model with outlier detection and trading days adjustment) and X-11 decomposition.
Author: Jean Palate [aut], Alain Quartier-la-Tente [aut] , Tanguy Barthelemy [aut, cre, art], Anna Smyk [aut]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>

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Package rjd3providers updated to version 3.7.1 with previous version 3.6.0 dated 2026-02-20

Title: Interface to 'JDemetra+' 3.x Time Series Analysis Software
Description: Interface to 'JDemetra+' 3.x (<https://github.com/jdemetra>) time series analysis software. It offers full access to txt, csv, xml and spreadsheets files which are meant to be read by 'JDemetra+' Graphical User Interface.
Author: Jean Palate [aut], Alessandro Piovani [aut, cre], Tanguy Barthelemy [ctb, art]
Maintainer: Alessandro Piovani <alessandro.piovani@istat.it>

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Package piecemeal readmission to version 0.2.0 with previous version 0.1.0 dated 2025-09-22

Title: Wrangle Large Simulation Studies
Description: An 'R6' class to set up, run, monitor, collate, and debug large simulation studies comprising many small independent replications and treatment configurations. Parallel processing, reproducibility, fault- and error-tolerance, and ability to resume an interrupted or timed-out simulation study are built in.
Author: Pavel N. Krivitsky [aut, cre]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

This is a re-admission after prior archival of version 0.1.0 dated 2025-09-22

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Package faux readmission to version 1.2.4 with previous version 1.2.3 dated 2025-10-01

Title: Simulation for Factorial Designs
Description: Create datasets with factorial structure through simulation by specifying variable parameters. Extended documentation at <https://www.scienceverse.org/faux/>. Described in DeBruine (2020) <doi:10.5281/zenodo.2669586>.
Author: Lisa DeBruine [aut, cre, cph] , Anna Krystalli [ctb] , Andrew Heiss [ctb]
Maintainer: Lisa DeBruine <debruine@gmail.com>

This is a re-admission after prior archival of version 1.2.3 dated 2025-10-01

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Package CSIndicators updated to version 1.2.0 with previous version 1.1.3 dated 2025-11-24

Title: Climate Services' Indicators Based on Sub-Seasonal to Decadal Predictions
Description: Set of generalised tools for the flexible computation of climate related indicators defined by the user. Each method represents a specific mathematical approach which is combined with the possibility to select an arbitrary time period to define the indicator. This enables a wide range of possibilities to tailor the most suitable indicator for each particular climate service application (agriculture, food security, energy, water management, health...). This package is intended for sub-seasonal, seasonal and decadal climate predictions, but its methods are also applicable to other time-scales, provided the dimensional structure of the input is maintained. Additionally, the outputs of the functions in this package are compatible with 'CSTools'. This package is described in Pérez-Zanón et al. (2023) <doi:10.1016/j.cliser.2023.100393> and was developed in the context of the H2020 projects MED-GOLD (776467) and S2S4E (776787) projects, as well as the Horizon Europe project MEDEWSA (101 [...truncated...]
Author: Nuria Perez-Zanon [aut] , Chou Chihchung [aut], Llorenc Lledo [aut], Victoria Agudetse [ctb, cre], Eva Rifa [ctb], Gonzalez-Reviriego Nube [ctb], Marcos Rauel [ctb], Palma Lluis [ctb], An-Chi Ho [ctb], Javier Corvillo [ctb], Alberto Bojaly [ctb], Thee [...truncated...]
Maintainer: Victoria Agudetse <victoria.agudetse@bsc.es>

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Package cyclocomp updated to version 1.1.2 with previous version 1.1.1 dated 2023-08-30

Title: Cyclomatic Complexity of R Code
Description: Cyclomatic complexity is a software metric (measurement), used to indicate the complexity of a program. It is a quantitative measure of the number of linearly independent paths through a program's source code. It was developed by Thomas J. McCabe, Sr. in 1976.
Author: Gabor Csardi [aut, cre]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package quickpsy updated to version 0.1.5.2 with previous version 0.1.5.1 dated 2019-10-02

Title: Fits Psychometric Functions for Multiple Groups
Description: Quickly fits and plots psychometric functions (normal, logistic, Weibull or any or any function defined by the user) for multiple groups.
Author: Linares Daniel [aut, cre], L<U+00F3>pez-Moliner Joan [aut]
Maintainer: Linares Daniel <danilinares@gmail.com>

Diff between quickpsy versions 0.1.5.1 dated 2019-10-02 and 0.1.5.2 dated 2026-03-11

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Package lotri updated to version 1.0.3 with previous version 1.0.2 dated 2025-08-29

Title: A Simple Way to Specify Symmetric, Block Diagonal Matrices
Description: Provides a simple mechanism to specify a symmetric block diagonal matrices (often used for covariance matrices). This is based on the domain specific language implemented in 'nlmixr2' but expanded to create matrices in R generally instead of specifying parts of matrices to estimate. It has expanded to include some matrix manipulation functions that are generally useful for 'rxode2' and 'nlmixr2'.
Author: Matthew L. Fidler [aut, cre] , Mauricio Vargas Sepulveda [ctb] , Bill Denney [ctb]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

Diff between lotri versions 1.0.2 dated 2025-08-29 and 1.0.3 dated 2026-03-11

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Package ILSAmerge updated to version 1.4.0 with previous version 1.3.8 dated 2025-04-10

Title: Merge and Download International Large-Scale Assessments (ILSA) Data
Description: Merges and downloads 'SPSS' data from different International Large-Scale Assessments (ILSA), including: Trends in International Mathematics and Science Study (TIMSS), Progress in International Reading Literacy Study (PIRLS), and others.
Author: Andres Christiansen [aut, cre] , Andres Strello [ctb]
Maintainer: Andres Christiansen <andres.christiansen@iea-hamburg.de>

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Package huge updated to version 1.5 with previous version 1.4 dated 2026-02-19

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

Diff between huge versions 1.4 dated 2026-02-19 and 1.5 dated 2026-03-11

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Package astsa updated to version 2.5 with previous version 2.4 dated 2025-12-15

Title: Applied Statistical Time Series Analysis
Description: Contains data sets and scripts for analyzing time series in both the frequency and time domains including state space modeling as well as supporting the texts Time Series Analysis and Its Applications: With R Examples (5th ed), by R.H. Shumway and D.S. Stoffer. Springer Texts in Statistics, 2025, <DOI:10.1007/978-3-031-70584-7>, and Time Series: A Data Analysis Approach Using R (2nd ed). Chapman-Hall, 2026, <https://www.routledge.com/Time-Series-A-Data-Analysis-Approach-Using-R/Shumway-Stoffer/p/book/9781041031642>. Most scripts are designed to require minimal input to produce aesthetically pleasing output for ease of use in live demonstrations and course work.
Author: David Stoffer [aut, cre], Nicky Poison [ctb, mus, spy]
Maintainer: David Stoffer <stoffer@pitt.edu>

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Package tidyILD updated to version 0.3.0 with previous version 0.2.0 dated 2026-03-05

Title: Tidy Intensive Longitudinal Data Analysis
Description: A reproducible, tidyverse-style framework for intensive longitudinal data analysis in R, with built-in methodological safeguards, provenance tracking, and reporting tools. Encodes time structure, enforces within-between decomposition, provides spacing-aware lags, and integrates diagnostics and visualization. Use ild_prepare(), ild_center(), ild_lag(), and related functions for a unified pipeline from raw EMA/diary data to interpretable models.
Author: Alex Litovchenko [aut, cre]
Maintainer: Alex Litovchenko <al4877@columbia.edu>

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Package rtmpinvi updated to version 0.2.0 with previous version 0.1.0 dated 2026-02-25

Title: Interactive Tabular Matrix Problems via Pseudoinverse Estimation
Description: Provides an interactive wrapper for the 'tmpinv()' function from the 'rtmpinv' package with options extending its functionality to pre- and post-estimation processing and streamlined incorporation of prior cell information. The Tabular Matrix Problems via Pseudoinverse Estimation (TMPinv) is a two-stage estimation method that reformulates structured table-based systems - such as allocation problems, transaction matrices, and input-output tables - as structured least-squares problems. Based on the Convex Least Squares Programming (CLSP) framework, TMPinv solves systems with row and column constraints, block structure, and optionally reduced dimensionality by (1) constructing a canonical constraint form and applying a pseudoinverse-based projection, followed by (2) a convex-programming refinement stage to improve fit, coherence, and regularization (e.g., via Lasso, Ridge, or Elastic Net).
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>

Diff between rtmpinvi versions 0.1.0 dated 2026-02-25 and 0.2.0 dated 2026-03-11

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Package rJava updated to version 1.0-15 with previous version 1.0-14 dated 2026-01-20

Title: Low-Level R to Java Interface
Description: Low-level interface to Java VM very much like .C/.Call and friends. Allows creation of objects, calling methods and accessing fields.
Author: Simon Urbanek [aut, cre, cph]
Maintainer: Simon Urbanek <Simon.Urbanek@r-project.org>

Diff between rJava versions 1.0-14 dated 2026-01-20 and 1.0-15 dated 2026-03-11

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Package randotools updated to version 0.2.6 with previous version 0.2.4 dated 2025-12-03

Title: Create Randomization Lists
Description: Randomization lists are an integral component of randomized clinical trials. 'randotools' provides tools to easily create such lists.
Author: Alan G Haynes [aut, cre]
Maintainer: Alan G Haynes <alan.haynes@unibe.ch>

Diff between randotools versions 0.2.4 dated 2025-12-03 and 0.2.6 dated 2026-03-11

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Package presize updated to version 0.3.11 with previous version 0.3.9 dated 2025-11-18

Title: Precision Based Sample Size Calculation
Description: Bland (2009) <doi:10.1136/bmj.b3985> recommended to base study sizes on the width of the confidence interval rather the power of a statistical test. The goal of 'presize' is to provide functions for such precision based sample size calculations. For a given sample size, the functions will return the precision (width of the confidence interval), and vice versa.
Author: Armando Lenz [aut], Alan G. Haynes [cre, aut], Andreas Limacher [aut], Odile Stalder [ctb], Marie Roumet [ctb]
Maintainer: Alan G. Haynes <alan.haynes@unibe.ch>

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Package pgenlibr readmission to version 0.5.5 with previous version 0.5.4 dated 2026-01-17

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

This is a re-admission after prior archival of version 0.5.4 dated 2026-01-17

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Package panelView updated to version 1.2.0 with previous version 1.1.18 dated 2024-06-17

Title: Visualizing Panel Data
Description: Visualizes panel data. It has three main functionalities: (1) it plots the treatment status and missing values in a panel dataset; (2) it visualizes the temporal dynamics of a main variable of interest; (3) it depicts the bivariate relationships between a treatment variable and an outcome variable either by unit or in aggregate. For details, see <doi:10.18637/jss.v107.i07>.
Author: Hongyu Mou [aut], Licheng Liu [aut], Yiqing Xu [aut, cre]
Maintainer: Yiqing Xu <yiqingxu@stanford.edu>

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Package NNS updated to version 11.6.5 with previous version 11.6.4 dated 2026-01-10

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

Diff between NNS versions 11.6.4 dated 2026-01-10 and 11.6.5 dated 2026-03-11

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 R/Normalization.R                                     |    3 
 R/Partial_Moments.R                                   |   80 ++++
 R/RcppExports.R                                       |   50 --
 R/SSD.R                                               |   49 +-
 R/Stack.R                                             |    7 
 R/TSD.R                                               |   49 +-
 R/Uni_SD_Routines.R                                   |   90 +++--
 README.md                                             |    6 
 build/vignette.rds                                    |binary
 inst/doc/NNSvignette_Clustering_and_Regression.R      |   18 -
 inst/doc/NNSvignette_Clustering_and_Regression.Rmd    |   18 -
 inst/doc/NNSvignette_Clustering_and_Regression.html   |   18 -
 inst/doc/NNSvignette_Normalization_and_Rescaling.R    |only
 inst/doc/NNSvignette_Normalization_and_Rescaling.Rmd  |only
 inst/doc/NNSvignette_Normalization_and_Rescaling.html |only
 inst/doc/NNSvignette_Overview.R                       |   32 +
 inst/doc/NNSvignette_Overview.Rmd                     |  135 +++++--
 inst/doc/NNSvignette_Overview.html                    |  311 ++++++++++--------
 inst/doc/NNSvignette_Partial_Moments.Rmd              |    6 
 inst/doc/NNSvignette_Partial_Moments.html             |    8 
 inst/doc/NNSvignette_Sampling.R                       |    4 
 inst/doc/NNSvignette_Sampling.Rmd                     |    4 
 inst/doc/NNSvignette_Sampling.html                    |    4 
 man/Co.LPM.Rd                                         |    9 
 man/Co.UPM.Rd                                         |    9 
 man/PM.matrix.Rd                                      |   24 +
 src/RcppExports.cpp                                   |   26 -
 src/internal_functions.cpp                            |   39 +-
 src/nns_rcpp.cpp                                      |only
 src/partial_moments.cpp                               |   86 ++--
 src/partial_moments.h                                 |    8 
 src/partial_moments_rcpp.cpp                          |   66 ---
 src/partial_moments_rcpp.h                            |    6 
 tests/testthat/Rplots.pdf                             |binary
 tests/testthat/test_Partial_Moments.R                 |   14 
 vignettes/NNSvignette_Clustering_and_Regression.Rmd   |   18 -
 vignettes/NNSvignette_Normalization_and_Rescaling.Rmd |only
 vignettes/NNSvignette_Overview.Rmd                    |  135 +++++--
 vignettes/NNSvignette_Partial_Moments.Rmd             |    6 
 vignettes/NNSvignette_Sampling.Rmd                    |    4 
 46 files changed, 952 insertions(+), 643 deletions(-)

More information about NNS at CRAN
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