Sun, 22 Mar 2026

Package offsetreg updated to version 1.2.0 with previous version 1.1.1 dated 2025-03-02

Title: An Extension of 'Tidymodels' Supporting Offset Terms
Description: Extend the 'tidymodels' ecosystem <https://www.tidymodels.org/> to enable the creation of predictive models with offset terms. Models with offsets are most useful when working with count data or when fitting an adjustment model on top of an existing model with a prior expectation. The former situation is common in insurance where data is often weighted by exposures. The latter is common in life insurance where industry mortality tables are often used as a starting point for setting assumptions.
Author: Matt Heaphy [aut, cre, cph]
Maintainer: Matt Heaphy <mattrmattrs@gmail.com>

Diff between offsetreg versions 1.1.1 dated 2025-03-02 and 1.2.0 dated 2026-03-22

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Package inti updated to version 0.6.92 with previous version 0.6.91 dated 2026-01-10

Title: Tools and Statistical Procedures in Plant Science
Description: The 'inti' package is part of the 'inkaverse' project for developing different procedures and tools used in plant science and experimental designs. The mean aim of the package is to support researchers during the planning of experiments and data collection (tarpuy()), data analysis and graphics (yupana()) , and scientific writing. Learn more about the 'inkaverse' project at <https://inkaverse.com/>.
Author: Flavio Lozano-Isla [aut, cre] , Maria Belen Kistner [ctb] , QuipoLab [ctb], Inkaverse [cph]
Maintainer: Flavio Lozano-Isla <flozanoisla@gmail.com>

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Package etwfe updated to version 0.6.2 with previous version 0.6.1 dated 2026-03-16

Title: Extended Two-Way Fixed Effects
Description: Convenience functions for implementing extended two-way fixed effect regressions a la Wooldridge (2023, 2025) <doi:10.1093/ectj/utad016>, <doi:10.1007/s00181-025-02807-z>.
Author: Grant McDermott [aut, cre] , Frederic Kluser [ctb], Ulrich Morawetz [ctb]
Maintainer: Grant McDermott <contact@grantmcdermott.com>

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Package condor updated to version 3.0.2 with previous version 3.0.1 dated 2025-09-22

Title: Interact with 'Condor' from R via SSH
Description: Interact with 'Condor' from R via SSH connection. Files are first uploaded from user machine to submitter machine, and the job is then submitted from the submitter machine to 'Condor'. Functions are provided to submit, list, and download 'Condor' jobs from R. 'Condor' is an open source high-throughput computing software framework for distributed parallelization of computationally intensive tasks.
Author: Arni Magnusson [aut, cre], Nan Yao [aut], Jemery Day [ctb], Thomas Teears [ctb]
Maintainer: Arni Magnusson <thisisarni@gmail.com>

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Package DataQualityDashboard updated to version 2.8.7 with previous version 2.8.6 dated 2026-01-28

Title: Execute and View Data Quality Checks on OMOP CDM Database
Description: Assesses data quality in Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) databases. Executes data quality checks and provides an R 'shiny' application to view the results.
Author: Katy Sadowski [aut, cre], Clair Blacketer [aut], Maxim Moinat [aut], Ajit Londhe [aut], Anthony Sena [aut], Anthony Molinaro [aut], Frank DeFalco [aut], Pavel Grafkin [aut]
Maintainer: Katy Sadowski <sadowski@ohdsi.org>

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Package incubate updated to version 1.4.0 with previous version 1.3.0 dated 2024-08-16

Title: Parametric Time-to-Event Analysis with Variable Incubation Phases
Description: Fit parametric models for time-to-event data that show an initial 'incubation period', i.e., a variable delay phase where no events occur. The delayed Weibull distribution serves as the foundational data model. For parameter estimation, different flavours of maximum likelihood estimation ('MLE') and the method of maximum product of spacings estimation ('MPSE') are implemented. Bootstrap confidence intervals for parameters and significance tests in a two group setting are provided.
Author: Matthias Kuhn [aut, cre, cph]
Maintainer: Matthias Kuhn <matthias.kuhn@tu-dresden.de>

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Package assessor updated to version 1.3.0 with previous version 1.1.1 dated 2025-02-16

Title: Assessment Tools for Regression Models with Discrete and Semicontinuous Outcomes
Description: Provides assessment tools for regression models with discrete and semicontinuous outcomes proposed in Yang (2021) <doi:10.1080/10618600.2021.1910042>, Yang (2024) <doi:10.1080/10618600.2024.2303336>, Yang (2024) <doi:10.1093/biomtc/ujae007>, and Yang (2026) <doi:10.1002/cjs.70046>. It calculates the double probability integral transform (DPIT) residuals. It also constructs QQ plots of residuals the ordered curve for assessing mean structures, quasi-empirical distribution function for overall assessment, and a formal goodness-of-fit test.
Author: Lu Yang [aut], Jeonghwan Lee [cre, aut]
Maintainer: Jeonghwan Lee <lee03938@umn.edu>

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Package jarbes updated to version 2.5.0 with previous version 2.4.2 dated 2026-02-11

Title: Just a Rather Bayesian Evidence Synthesis
Description: Provides a new class of Bayesian meta-analysis models that incorporates a model for internal and external validity bias. In this way, it is possible to combine studies of diverse quality and different types. For example, we can combine the results of randomized control trials (RCTs) with the results of observational studies (OS).
Author: Pablo Emilio Verde [aut, cre]
Maintainer: Pablo Emilio Verde <pabloemilio.verde@hhu.de>

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Package qgisprocess updated to version 0.4.2 with previous version 0.4.1 dated 2024-10-06

Title: Use 'QGIS' Processing Algorithms
Description: Provides seamless access to the 'QGIS' (<https://qgis.org>) processing toolbox using the standalone 'qgis_process' command-line utility. Both native and third-party (plugin) processing providers are supported. Beside referring data sources from file, also common objects from 'sf', 'terra' and 'stars' are supported. The native processing algorithms are documented by QGIS.org (2024) <https://docs.qgis.org/latest/en/docs/user_manual/processing_algs/>.
Author: Dewey Dunnington [aut] , Floris Vanderhaeghe [aut, cre] ), Jan Caha [aut] , Jannes Muenchow [aut] , Antony Barja [ctb] , Robin Lovelace [ctb] , Jakub Nowosad [ctb] , Research Institute for Nature and Forest [cph, fnd]
Maintainer: Floris Vanderhaeghe <floris.vanderhaeghe@inbo.be>

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Package prome updated to version 4.0.0.3 with previous version 3.1.0.1 dated 2026-02-06

Title: Patient-Reported Outcome Data Analysis with Stan
Description: Estimation for blinding bias in randomized controlled trials with a latent continuous outcome, a binary response depending on treatment and the latent outcome, and a noisy surrogate subject to possibly response-dependent measurement error. Implements EM estimators in R backed by compiled C routines for models with and without the restriction delta0 = 0, and Bayesian Stan wrappers for the same two models. Functions were added for latent outcome models with differential measurement error.
Author: Bin Wang [aut, cre]
Maintainer: Bin Wang <bwang831@gmail.com>

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Package afttest updated to version 4.5.3 with previous version 4.5.2.2 dated 2026-02-24

Title: Model Diagnostics for Accelerated Failure Time Models
Description: A collection of model checking methods for semiparametric accelerated failure time (AFT) models under the rank-based approach. For the (computational) efficiency, Gehan's weight is used. It provides functions to verify whether the observed data fit the specific model assumptions such as a functional form of each covariate, a link function, and an omnibus test. The p-value offered in this package is based on the Kolmogorov-type supremum test and the variance of the proposed test statistics is estimated through the re-sampling method. Furthermore, a graphical technique to compare the shape of the observed residual to a number of the approximated realizations is provided. See the following references; A general model-checking procedure for semiparametric accelerated failure time models, Statistics and Computing, 34 (3), 117 <doi:10.1007/s11222-024-10431-7>; Diagnostics for semiparametric accelerated failure time models with R package 'afttest', arXiv, <doi:10.48550/arXiv.2511.098 [...truncated...]
Author: Woojung Bae [aut, cre] , Dongrak Choi [aut] , Jun Yan [aut] , Sangwook Kang [aut]
Maintainer: Woojung Bae <matt.woojung@gmail.com>

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Package sumer updated to version 1.4.0 with previous version 1.3.0 dated 2026-03-11

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 psycho updated to version 0.6.2 with previous version 0.6.1 dated 2021-01-19

Title: Efficient and Publishing-Oriented Workflow for Psychological Science
Description: The main goal of the psycho package is to provide tools for psychologists, neuropsychologists and neuroscientists, to facilitate and speed up the time spent on data analysis. It aims at supporting best practices and tools to format the output of statistical methods to directly paste them into a manuscript, ensuring statistical reporting standardization and conformity.
Author: Dominique Makowski [aut, cre, cph] , Hugo Najberg [ctb], Viliam Simko [ctb], Sasha Epskamp [rev]
Maintainer: Dominique Makowski <dom.makowski@gmail.com>

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Package LLMing updated to version 1.2.0 with previous version 1.1.0 dated 2026-01-08

Title: Large Language Model (LLM) Tools for Psychological Text Analysis
Description: A collection of large language model (LLM) text analysis methods designed with psychological data in mind. Currently, LLMing (aka "lemming") includes a text anomaly detection method based on the angle-based subspace approach described by Zhang, Lin, and Karim (2015) and a text generation method. <doi:10.1016/j.ress.2015.05.025>.
Author: Lindley Slipetz [aut, cre], Teague Henry [aut], Siqi Sun [ctb]
Maintainer: Lindley Slipetz <ddj6tu@virginia.edu>

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Package spatstat.explore updated to version 3.8-0 with previous version 3.7-0 dated 2026-01-22

Title: Exploratory Data Analysis for the 'spatstat' Family
Description: Functionality for exploratory data analysis and nonparametric analysis of spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Warick Brown [cph], Achmad Choiruddin [ctb], Ya-Mei Chang [ctb], Jean-Francois Coeurjolly [ctb], Lucia Cobo Sanchez [ctb, cph], Ottma [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package epicR (with last version 1.0.0) was removed from CRAN

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

2026-03-10 1.0.0
2026-03-08 0.9.0

Permanent link
Package spatstat.random updated to version 3.4-5 with previous version 3.4-4 dated 2026-01-21

Title: Random Generation Functionality for the 'spatstat' Family
Description: Functionality for random generation of spatial data in the 'spatstat' family of packages. Generates random spatial patterns of points according to many simple rules (complete spatial randomness, Poisson, binomial, random grid, systematic, cell), randomised alteration of patterns (thinning, random shift, jittering), simulated realisations of random point processes including simple sequential inhibition, Matern inhibition models, Neyman-Scott cluster processes (using direct, Brix-Kendall, or hybrid algorithms), log-Gaussian Cox processes, product shot noise cluster processes and Gibbs point processes (using Metropolis-Hastings birth-death-shift algorithm, alternating Gibbs sampler, or coupling-from-the-past perfect simulation). Also generates random spatial patterns of line segments, random tessellations, and random images (random noise, random mosaics). Excludes random generation on a linear network, which is covered by the separate package 'spatstat.linnet'.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Tilman Davies [aut, cph] , Kasper Klitgaard Berthelsen [ctb, cph], David Bryant [ctb, cph], Ya-Mei Chang [ctb, cph], Ute Hahn [ctb], Abdollah Jalilian [ctb], Dominic Sc [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package RMixtCompIO updated to version 4.0.12 with previous version 4.0.11 dated 2023-10-03

Title: Minimal Interface of the C++ 'MixtComp' Library for Mixture Models with Heterogeneous and (Partially) Missing Data
Description: Mixture Composer <https://github.com/modal-inria/MixtComp> is a project to build mixture models with heterogeneous data sets and partially missing data management. It includes models for real, categorical, counting, functional and ranking data. This package contains the minimal R interface of the C++ 'MixtComp' library.
Author: Vincent Kubicki [aut], Christophe Biernacki [aut], Quentin Grimonprez [aut, cre], Serge Iovleff [ctb], Matthieu Marbac-Lourdelle [ctb], Etienne Goffinet [ctb], Patrick Wieschollek [ctb] , Tobias Wood [ctb] , Julien Vandaele [ctb]
Maintainer: Quentin Grimonprez <quentingrim@yahoo.fr>

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Package readapra updated to version 0.2.2 with previous version 0.2.1 dated 2025-02-22

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

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Package MultiTraits updated to version 1.0.0 with previous version 0.6.0 dated 2025-10-01

Title: Analyzing and Visualizing Multidimensional Plant Traits
Description: Implements analytical methods for multidimensional plant traits, including Competitors-Stress tolerators-Ruderals strategy analysis using leaf traits, Leaf-Height-Seed strategy analysis, Niche Periodicity Table analysis, and Trait Network analysis. Provides functions for data analysis, visualization, and network metrics calculation. Methods are based on He et al. (2026) <doi:10.1002/ecog.08026>.
Author: Yan He [aut, cre], Zhaogang Liu [aut], Jiangshan Lai [aut], Lingfeng Mao [aut]
Maintainer: Yan He <heyan@njfu.edu.cn>

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Package fs updated to version 2.0.0 with previous version 1.6.7 dated 2026-03-06

Title: Cross-Platform File System Operations Based on 'libuv'
Description: A cross-platform interface to file system operations, built on top of the 'libuv' C library.
Author: Jim Hester [aut], Hadley Wickham [aut], Gabor Csardi [aut], Jeroen Ooms [cre], libuv project contributors [cph] , Joyent, Inc. and other Node contributors [cph] , Posit Software, PBC [cph, fnd]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between fs versions 1.6.7 dated 2026-03-06 and 2.0.0 dated 2026-03-22

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Package collections updated to version 0.3.12 with previous version 0.3.11 dated 2026-02-05

Title: High Performance Container Data Types
Description: Provides high performance container data types such as queues, stacks, deques, dicts and ordered dicts. Benchmarks <https://randy3k.github.io/collections/articles/benchmark.html> have shown that these containers are asymptotically more efficient than those offered by other packages.
Author: Randy Lai [aut, cre], Andrea Mazzoleni [cph] , Yann Collet [cph]
Maintainer: Randy Lai <randy.cs.lai@gmail.com>

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Package arrangements updated to version 1.1.10 with previous version 1.1.9 dated 2020-09-13

Title: Fast Generators and Iterators for Permutations, Combinations, Integer Partitions and Compositions
Description: Fast generators and iterators for permutations, combinations, integer partitions and compositions. The arrangements are in lexicographical order and generated iteratively in a memory efficient manner. It has been demonstrated that 'arrangements' outperforms most existing packages of similar kind. Benchmarks could be found at <https://randy3k.github.io/arrangements/articles/benchmark.html>.
Author: Randy Lai [aut, cre]
Maintainer: Randy Lai <randy.cs.lai@gmail.com>

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Package arm updated to version 1.15-2 with previous version 1.15-1 dated 2026-03-15

Title: Data Analysis Using Regression and Multilevel/Hierarchical Models
Description: Functions to accompany A. Gelman and J. Hill, Data Analysis Using Regression and Multilevel/Hierarchical Models, Cambridge University Press, 2007.
Author: Andrew Gelman [aut], Yu-Sung Su [aut, cre] , Masanao Yajima [ctb], Jennifer Hill [ctb], Maria Grazia Pittau [ctb], Jouni Kerman [ctb], Tian Zheng [ctb], Vincent Dorie [ctb]
Maintainer: Yu-Sung Su <suyusung@tsinghua.edu.cn>

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Package flownet updated to version 0.2.2 with previous version 0.2.1 dated 2026-02-22

Title: Transport Modeling: Network Processing, Route Enumeration, and Traffic Assignment
Description: High-performance tools for transport modeling - network processing, route enumeration, and traffic assignment in R. The package implements the Path-Sized Logit model for traffic assignment - Ben-Akiva and Bierlaire (1999) <doi:10.1007/978-1-4615-5203-1_2> - an efficient route enumeration algorithm, and provides powerful utility functions for (multimodal) network generation, consolidation/contraction, and/or simplification. The user is expected to provide a transport network (either a graph or collection of linestrings) and an origin-destination (OD) matrix of trade/traffic flows. Maintained by transport consultants at CPCS (cpcs.ca).
Author: Sebastian Krantz [aut, cre], Kamol Roy [ctb]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

Diff between flownet versions 0.2.1 dated 2026-02-22 and 0.2.2 dated 2026-03-22

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Sat, 21 Mar 2026

Package PwePred updated to version 1.1.0 with previous version 1.0.0 dated 2025-04-10

Title: Event/Timeline Prediction Model Based on Piecewise Exponential
Description: Efficient algorithm for estimating piecewise exponential hazard models for right-censored data, and is useful for reliable power calculation, study design, and event/timeline prediction for study monitoring.
Author: Tianchen Xu [aut, cre]
Maintainer: Tianchen Xu <zjph602xutianchen@gmail.com>

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Package fru updated to version 0.0.4 with previous version 0.0.3 dated 2026-02-05

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

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Package polyRAD updated to version 2.0.1 with previous version 2.0.0 dated 2022-11-06

Title: Genotype Calling with Uncertainty from Sequencing Data in Polyploids and Diploids
Description: Read depth data from genotyping-by-sequencing (GBS) or restriction site-associated DNA sequencing (RAD-seq) are imported and used to make Bayesian probability estimates of genotypes in polyploids or diploids. The genotype probabilities, posterior mean genotypes, or most probable genotypes can then be exported for downstream analysis. 'polyRAD' is described by Clark et al. (2019) <doi:10.1534/g3.118.200913>, and the Hind/He statistic for marker filtering is described by Clark et al. (2022) <doi:10.1186/s12859-022-04635-9>. A variant calling pipeline for highly duplicated genomes is also included and is described by Clark et al. (2020, Version 1) <doi:10.1101/2020.01.11.902890>.
Author: Lindsay V. Clark [aut, cre] , U.S. National Science Foundation [fnd]
Maintainer: Lindsay V. Clark <Lindsay.Clark@seattlechildrens.org>

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Package MaximinInfer updated to version 2.1.0 with previous version 2.0.0 dated 2023-04-12

Title: Inference for Maximin Effects in High-Dimensional Settings
Description: Implementation of the sampling and aggregation method for the covariate shift maximin effect, which was proposed in <doi:10.48550/arXiv.2011.07568>. It constructs the confidence interval for any linear combination of the high-dimensional maximin effect.
Author: Zhenyu Wang [aut, cre], Zijian Guo [aut]
Maintainer: Zhenyu Wang <zw425@stat.rutgers.edu>

Diff between MaximinInfer versions 2.0.0 dated 2023-04-12 and 2.1.0 dated 2026-03-21

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Package rzmq updated to version 0.9.16 with previous version 0.9.15 dated 2024-12-16

Title: R Bindings for 'ZeroMQ'
Description: Interface to the 'ZeroMQ' lightweight messaging kernel (see <https://zeromq.org/> for more information).
Author: Whit Armstrong [aut], Michael Schubert [ctb], Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between rzmq versions 0.9.15 dated 2024-12-16 and 0.9.16 dated 2026-03-21

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Package nomiShape updated to version 1.0.2 with previous version 1.0.1 dated 2026-02-24

Title: Visualization and Analysis of Nominal Variable Distributions
Description: Provides tools for visualizing and analyzing the shape of discrete nominal frequency distributions. The package introduces centered frequency plots, in which nominal categories are ordered from the most frequent category at the center toward less frequent categories on both sides, facilitating the detection of distributional patterns such as uniformity, dominance, symmetry, skewness, and long-tail behavior. In addition, the package supports Pareto charts for the study of dominance and cumulative frequency structure in nominal data. The package is designed for exploratory data analysis and statistical teaching, offering visualizations that emphasize distributional form rather than arbitrary category ordering.
Author: Norberto Asensio [aut, cre]
Maintainer: Norberto Asensio <norberto.asensio@ehu.eus>

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More information about nomiShape at CRAN
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Package vctrs updated to version 0.7.2 with previous version 0.7.1 dated 2026-01-23

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

Diff between vctrs versions 0.7.1 dated 2026-01-23 and 0.7.2 dated 2026-03-21

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More information about vctrs at CRAN
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Package scaledescr updated to version 0.2.3 with previous version 0.2.2 dated 2026-03-13

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 refund updated to version 0.1-40 with previous version 0.1-38 dated 2025-11-17

Title: Regression with Functional Data
Description: Methods for regression for functional data, including function-on-scalar, scalar-on-function, and function-on-function regression. Some of the functions are applicable to image data.
Author: Jeff Goldsmith [aut], Fabian Scheipl [aut], Lei Huang [aut], Julia Wrobel [aut, cre, cph], Chongzhi Di [aut], Jonathan Gellar [aut], Jaroslaw Harezlak [aut], Mathew W. McLean [aut], Bruce Swihart [aut], Luo Xiao [aut], Ciprian Crainiceanu [aut], Phil [...truncated...]
Maintainer: Julia Wrobel <julia.wrobel@emory.edu>

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Package iq updated to version 2.0.1 with previous version 2.0.0 dated 2025-10-06

Title: Protein Quantification in Mass Spectrometry-Based Proteomics
Description: An implementation of the MaxLFQ algorithm by Cox et al. (2014) <doi:10.1074/mcp.M113.031591> in a comprehensive pipeline for processing proteomics data in data-independent acquisition mode (Pham et al. 2020 <doi:10.1093/bioinformatics/btz961>; Pham et al. 2026 <doi:10.1021/acs.jproteome.5c01038>). It offers additional options for protein quantification using the N most intense fragment ions, using all fragment ions, the median polish algorithm by Tukey (1977, ISBN:0201076160), and a robust linear model. In general, the tool can be used to integrate multiple proportional observations into a single quantitative value.
Author: Thang Pham [aut, cre, cph, ctb] , Alex Henneman [ctb]
Maintainer: Thang Pham <t.pham@amsterdamumc.nl>

Diff between iq versions 2.0.0 dated 2025-10-06 and 2.0.1 dated 2026-03-21

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Package gimms updated to version 1.2.5 with previous version 1.2.4 dated 2025-11-30

Title: Download and Process GIMMS NDVI3g Data
Description: This is a set of functions to retrieve information about GIMMS NDVI3g files currently available online; download (and re-arrange, in the case of NDVI3g.v0) the half-monthly data sets; import downloaded files from ENVI binary (NDVI3g.v0) or NetCDF format (NDVI3g.v1) directly into R based on the widespread 'raster' package; conduct quality control; and generate monthly composites (e.g., maximum values) from the half-monthly input data. As a special gimmick, a method is included to conveniently apply the Mann-Kendall trend test upon 'Raster*' images, optionally featuring trend-free pre-whitening to account for lag-1 autocorrelation.
Author: Florian Detsch [cre, aut]
Maintainer: Florian Detsch <fdetsch@web.de>

Diff between gimms versions 1.2.4 dated 2025-11-30 and 1.2.5 dated 2026-03-21

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Package RCurl updated to version 1.98-1.18 with previous version 1.98-1.17 dated 2025-03-22

Title: General Network (HTTP/FTP/...) Client Interface for R
Description: A wrapper for 'libcurl' <https://curl.se/libcurl/> Provides functions to allow one to compose general HTTP requests and provides convenient functions to fetch URIs, get & post forms, etc. and process the results returned by the Web server. This provides a great deal of control over the HTTP/FTP/... connection and the form of the request while providing a higher-level interface than is available just using R socket connections. Additionally, the underlying implementation is robust and extensive, supporting FTP/FTPS/TFTP (uploads and downloads), SSL/HTTPS, telnet, dict, ldap, and also supports cookies, redirects, authentication, etc.
Author: CRAN Team [ctb, cre] , Duncan Temple Lang [aut]
Maintainer: CRAN Team <CRAN@r-project.org>

Diff between RCurl versions 1.98-1.17 dated 2025-03-22 and 1.98-1.18 dated 2026-03-21

 DESCRIPTION |    9 +++++----
 MD5         |    4 ++--
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Package Matrix updated to version 1.7-5 with previous version 1.7-4 dated 2025-08-28

Title: Sparse and Dense Matrix Classes and Methods
Description: A rich hierarchy of sparse and dense matrix classes, including general, symmetric, triangular, and diagonal matrices with numeric, logical, or pattern entries. Efficient methods for operating on such matrices, often wrapping the 'BLAS', 'LAPACK', and 'SuiteSparse' libraries.
Author: Douglas Bates [aut] , Martin Maechler [aut, cre] , Mikael Jagan [aut] , Timothy A. Davis [ctb] , pattern="License", full.names=TRUE, recursive=TRUE)), George Karypis [ctb] , Jason Riedy [ctb] and onenormest, Copyright: Regents of the University of C [...truncated...]
Maintainer: Martin Maechler <mmaechler+Matrix@gmail.com>

Diff between Matrix versions 1.7-4 dated 2025-08-28 and 1.7-5 dated 2026-03-21

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Package uklr (with last version 1.0.2) was removed from CRAN

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

2021-05-24 1.0.2
2020-04-14 1.0.1
2019-12-18 1.0.0

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Package semverutils (with last version 0.1.0) was removed from CRAN

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2020-02-22 0.1.0

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Package timeR (with last version 1.2.0) was removed from CRAN

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

2020-06-22 1.2.0
2019-06-12 1.1.0
2019-01-25 1.0.0

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Package understandBPMN (with last version 1.1.1) was removed from CRAN

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

2019-09-27 1.1.1
2018-06-08 1.1.0
2018-03-14 1.0.0

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Package shiny.pwa (with last version 0.2.1) was removed from CRAN

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

2021-06-19 0.2.1
2020-09-25 0.2.0

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Package slimrec (with last version 0.1.0) was removed from CRAN

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2017-03-25 0.1.0

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Package rgdax (with last version 1.2.1) was removed from CRAN

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

2021-08-03 1.2.1
2019-01-07 1.0.0
2018-06-17 0.6.0
2018-04-08 0.5.0
2018-02-19 0.4.0
2018-02-18 0.3.0
2018-01-09 0.2.0

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Package siqr (with last version 0.8.1) was removed from CRAN

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

2021-12-14 0.8.1
2021-12-01 0.8.0

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Package specklestar (with last version 0.0.1.7) was removed from CRAN

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2018-02-08 0.0.1.7

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Package shinypanels (with last version 0.5.0) was removed from CRAN

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2020-01-26 0.5.0

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Package ropendata (with last version 0.1.0) was removed from CRAN

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2019-02-08 0.1.0

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Package voxel (with last version 1.3.5) was removed from CRAN

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

2018-06-26 1.3.5
2018-04-29 1.3.4
2017-05-22 1.3.2
2016-08-26 1.2.1

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Package treasury updated to version 0.5.0 with previous version 0.4.0 dated 2025-08-26

Title: Client for US Treasury XML Feed and Published Data
Description: Download daily interest rates from the US Treasury XML feed. Leveraging <https://home.treasury.gov/treasury-daily-interest-rate-xml-feed>, this package serves as a wrapper, facilitating the retrieval of daily treasury rates across various categories, including par yield curves, treasury bills, long-term rates, and real yield curves.
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

Diff between treasury versions 0.4.0 dated 2025-08-26 and 0.5.0 dated 2026-03-21

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Package sigora updated to version 3.2.0 with previous version 3.1.1 dated 2021-11-30

Title: Signature Overrepresentation Analysis
Description: Pathway Analysis is statistically linking observations on the molecular level to biological processes or pathways on the systems(i.e., organism, organ, tissue, cell) level. Traditionally, pathway analysis methods regard pathways as collections of single genes and treat all genes in a pathway as equally informative. However, this can lead to identifying spurious pathways as statistically significant since components are often shared amongst pathways. SIGORA seeks to avoid this pitfall by focusing on genes or gene pairs that are (as a combination) specific to a single pathway. In relying on such pathway gene-pair signatures (Pathway-GPS), SIGORA inherently uses the status of other genes in the experimental context to identify the most relevant pathways. The current version allows for pathway analysis of human and mouse datasets. In addition, it contains pre-computed Pathway-GPS data for pathways in the KEGG and Reactome pathway repositories and mechanisms for extracting GPS for user-sup [...truncated...]
Author: Amir Foroushani [aut] , Fiona Brinkman [aut], David Lynn [aut], Witold Wolski [cre]
Maintainer: Witold Wolski <witold.wolski@fgcz.uzh.ch>

Diff between sigora versions 3.1.1 dated 2021-11-30 and 3.2.0 dated 2026-03-21

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New package Rbearcat with initial version 0.2.1
Package: Rbearcat
Title: University of Cincinnati Themes and Utilities for Econometrics and Data Science
Version: 0.2.1
Description: Provides plotting helpers, table-formatting utilities, and report templates for econometrics, model development, and applied data analysis. Includes University of Cincinnati branded themes for 'ggplot2', 'modelsummary', 'flextable', 'rmarkdown', 'bookdown', and 'quarto'.
License: MIT + file LICENSE
URL: https://github.com/saannidhya/Rbearcat
BugReports: https://github.com/saannidhya/Rbearcat/issues
Encoding: UTF-8
Imports: knitr, kableExtra, magrittr, flextable, purrr, officer, colorspace, ggplot2, scales, bookdown, forcats, dplyr, lubridate, stringr, usethis, readr, rmarkdown, xaringan, git2r, gert, modelsummary, broom, patchwork, lmtest, data.table, tools, rlang
Suggests: testthat (>= 2.1.0), tibble, gapminder, ggrepel, gt, reactable, RColorBrewer, fivethirtyeight, gcookbook, haven, here, tidyverse, viridis, fixest, plm, ivreg, forecast, xts, zoo, car, janitor, ssh, askpass, crayon, rstudioapi, ragg, systemfonts
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-17 17:04:16 UTC; rawatsa
Author: Saannidhya Rawat [aut, cre]
Maintainer: Saannidhya Rawat <rawatsa@mail.uc.edu>
Repository: CRAN
Date/Publication: 2026-03-21 09:50:02 UTC

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Package rasterpic updated to version 0.4.0 with previous version 0.3.1 dated 2026-01-14

Title: Convert Digital Images into 'SpatRaster' Objects
Description: Generate 'SpatRaster' objects, as defined by the 'terra' package, from digital images, using a specified spatial object as a geographical reference.
Author: Diego Hernangomez [aut, cre, cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

Diff between rasterpic versions 0.3.1 dated 2026-01-14 and 0.4.0 dated 2026-03-21

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New package multChernoff with initial version 1.0.0
Package: multChernoff
Title: Finite-Sample Tail Bound of Likelihood Ratio Test under Multinomial Sampling
Version: 1.0.0
Description: Computes a finite-sample tail bound for the log-likelihood ratio test (LRT) statistic under multinomial sampling. The resulting bound is used to compute finite-sample conservative p-values and critical values when the standard chi-squared asymptotics can be unreliable. The package also supports multiple independent multinomial trials.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/richardkwo/multChernoff
BugReports: https://github.com/richardkwo/multChernoff/issues
Imports: plyr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-17 18:53:53 UTC; ricguo
Author: Richard Guo [aut, cre, cph], Ivana Liu [aut]
Maintainer: Richard Guo <ricguo@umich.edu>
Repository: CRAN
Date/Publication: 2026-03-21 10:10:02 UTC

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New package mrddGlobal with initial version 0.1.0
Package: mrddGlobal
Title: Global Testing for Multivariate Regression Discontinuity Designs
Version: 0.1.0
Description: Global testing for regression discontinuity designs with more than one running variable. The function cef_disc_test() is used for testing whether there exist non-zero treatment effects along the boundary of the treated region. The function density_disc_test() is used for testing whether there exist discontinuities in the joint density of the running variables along the boundary of the treated region. The methodology follows Samiahulin (2026), "Global Testing for Regression Discontinuity Designs with Multiple Running Variables" <doi:10.48550/arXiv.2602.03819>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: grf, lpdensity, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: dplyr, ggplot2, patchwork, rmarkdown, sf, RANN, knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-03-17 21:14:44 UTC; User
Author: Artem Samiahulin [aut, cre]
Maintainer: Artem Samiahulin <artem.samiahulin@outlook.com>
Repository: CRAN
Date/Publication: 2026-03-21 10:20:02 UTC

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New package GOFclustering with initial version 1.0.4
Package: GOFclustering
Title: Goodness-of-Fit Testing for Model-Based Clustering
Version: 1.0.4
Description: Performs goodness-of-fit tests for model-based clustering based on the methodology developed in <doi:10.48550/arXiv.2511.04206>. It implements a test statistic derived from empirical likelihood to verify the distribution of clusters in multivariate Gaussian mixtures and other latent class models.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.4)
Imports: Rcpp, parallel, VarSelLCM, mixtools, goftest, partitions, randtoolbox, stats, mvtnorm
LinkingTo: Rcpp, RcppArmadillo
ByteCompile: true
NeedsCompilation: yes
Packaged: 2026-03-17 16:08:39 UTC; matt
Author: Salima El Kolei [aut], Matthieu Marbac [aut, cre]
Maintainer: Matthieu Marbac <matthieu.marbac@univ-ubs.fr>
Repository: CRAN
Date/Publication: 2026-03-21 09:40:02 UTC

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New package foldedt with initial version 1.0
Package: foldedt
Title: The Folded t Family of Distributions
Version: 1.0
Date: 2026-03-18
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Rfast, stats
Suggests: Rfast2
Description: Maximum likelihood estimation of the folded t and related distributions. The reference paper is: Psarakis and Panaretos (1990). "The folded t distribution". Communications in Statistics--Theory and Methods, 19(7): 2717--2734. <doi:10.1080/03610929008830342>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-03-17 22:10:37 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-03-21 10:20:08 UTC

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New package CohortMethod with initial version 6.0.1
Package: CohortMethod
Title: Comparative Cohort Method with Large Scale Propensity and Outcome Models
Version: 6.0.1
Date: 2026-03-16
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>
Description: Functions for performing comparative cohort studies in an observational database in the Observational Medical Outcomes Partnership (OMOP) Common Data Model. Can extract all necessary data from a database. This implements large-scale propensity scores (LSPS) as described in Tian et al. (2018) <doi:10.1093/ije/dyy120>, using a large set of covariates, including for example all drugs, diagnoses, procedures, as well as age, comorbidity indexes, etc. Large scale regularized regression is used to fit the propensity and outcome models as described in Suchard et al. (2013) <doi:10.1145/2414416.2414791>. Functions are included for trimming, stratifying, (variable and fixed ratio) matching and weighting by propensity scores, as well as diagnostic functions, such as propensity score distribution plots and plots showing covariate balance before and after matching and/or trimming. Supported outcome models are (conditional) logistic regression, (conditional) Poisson regression, and (stra [...truncated...]
License: Apache License 2.0
VignetteBuilder: knitr
URL: https://ohdsi.github.io/CohortMethod/, https://github.com/OHDSI/CohortMethod
BugReports: https://github.com/OHDSI/CohortMethod/issues
Depends: R (>= 4.1.0), DatabaseConnector (>= 6.0.0), Cyclops (>= 3.6.0), FeatureExtraction (>= 3.0.0), Andromeda (>= 0.6.3)
Imports: methods, utils, ggplot2, gridExtra, grid, readr, plyr, dplyr, rlang, Rcpp (>= 0.11.2), SqlRender (>= 1.18.0), survival, ParallelLogger (>= 3.4.2), checkmate, EmpiricalCalibration, jsonlite, R6, digest
Suggests: testthat, pROC, knitr, rmarkdown, Eunomia, zip, withr, R.utils, RSQLite, ResultModelManager, markdown, PSweight
SystemRequirements: Java
LinkingTo: Rcpp
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2026-03-16 19:58:45 UTC; schuemie
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut], Patrick Ryan [aut]
Repository: CRAN
Date/Publication: 2026-03-21 09:40:07 UTC

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Package bbk updated to version 0.9.0 with previous version 0.8.0 dated 2025-10-01

Title: Client for Central Bank APIs
Description: A client for retrieving data and metadata from major central bank APIs. It supports access to the 'Bundesbank SDMX Web Service API' (<https://www.bundesbank.de/en/statistics/time-series-databases/help-for-sdmx-web-service/web-service-interface-data>), the 'Swiss National Bank Data Portal' (<https://data.snb.ch/en>), the 'European Central Bank Data Portal API' (<https://data.ecb.europa.eu/help/api/overview>), the 'Bank of England Interactive Statistical Database' (<https://www.bankofengland.co.uk/boeapps/database>), the 'Banco de España API' (<https://www.bde.es/webbe/en/estadisticas/recursos/api-estadisticas-bde.html>), the 'Bank for International Settlements SDMX Web Service' (<https://stats.bis.org/api-doc/v1/>), the 'Banque de France Web Service' (<https://webstat.banque-france.fr/en/pages/guide-migration-api/>), the 'Norges Bank SDMX Web Service' (<https://www.norges-bank.no/en/topics/Statistics/open-data/>), the 'Oesterreichische Nat [...truncated...]
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

Diff between bbk versions 0.8.0 dated 2025-10-01 and 0.9.0 dated 2026-03-21

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Package qkerntool (with last version 1.19) was removed from CRAN

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

2019-04-13 1.19
2018-11-20 1.18
2018-11-16 1.17

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Package numbersBR (with last version 0.0.2) was removed from CRAN

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

2018-04-05 0.0.2

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Package factorial2x2 (with last version 0.2.0) was removed from CRAN

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

2020-04-27 0.2.0
2019-09-07 0.1.0

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Package keyToEnglish (with last version 0.2.1) was removed from CRAN

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

2021-02-13 0.2.1
2020-10-02 0.2.0
2020-09-17 0.1.0

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Package loadshaper (with last version 1.1.1) was removed from CRAN

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Package splitstackshape updated to version 1.4.8.1 with previous version 1.4.8 dated 2019-04-21

Title: Stack and Reshape Datasets After Splitting Concatenated Values
Description: Online data collection tools like Google Forms often export multiple-response questions with data concatenated in cells. The concat.split (cSplit) family of functions splits such data into separate cells. The package also includes functions to stack groups of columns and to reshape wide data, even when the data are "unbalanced"---something which reshape (from base R) does not handle, and which melt and dcast from reshape2 do not easily handle.
Author: Ananda Mahto [aut, cre]
Maintainer: Ananda Mahto <mrdwab@gmail.com>

Diff between splitstackshape versions 1.4.8 dated 2019-04-21 and 1.4.8.1 dated 2026-03-21

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Package spatstat.geom updated to version 3.7-2 with previous version 3.7-0 dated 2026-01-20

Title: Geometrical Functionality of the 'spatstat' Family
Description: Defines spatial data types and supports geometrical operations on them. Data types include point patterns, windows (domains), pixel images, line segment patterns, tessellations and hyperframes. Capabilities include creation and manipulation of data (using command line or graphical interaction), plotting, geometrical operations (rotation, shift, rescale, affine transformation), convex hull, discretisation and pixellation, Dirichlet tessellation, Delaunay triangulation, pairwise distances, nearest-neighbour distances, distance transform, morphological operations (erosion, dilation, closing, opening), quadrat counting, geometrical measurement, geometrical covariance, colour maps, calculus on spatial domains, Gaussian blur, level sets of images, transects of images, intersections between objects, minimum distance matching. (Excludes spatial data on a network, which are supported by the package 'spatstat.linnet'.)
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Warick Brown [ctb], Tilman Davies [ctb], Ute Hahn [ctb], Martin Hazelton [ctb], Abdollah Jalilian [ctb], Greg McSwiggan [ctb, cph], Sebastian Meyer [ctb, cph], Jens Oeh [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package showtext updated to version 0.9-8 with previous version 0.9-7 dated 2024-03-02

Title: Using Fonts More Easily in R Graphs
Description: Making it easy to use various types of fonts ('TrueType', 'OpenType', Type 1, web fonts, etc.) in R graphs, and supporting most output formats of R graphics including PNG, PDF and SVG. Text glyphs will be converted into polygons or raster images, hence after the plot has been created, it no longer relies on the font files. No external software such as 'Ghostscript' is needed to use this package.
Author: Yixuan Qiu [aut, cre], Dave Raggett [ctb]
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

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Package panelView updated to version 1.2.1 with previous version 1.2.0 dated 2026-03-11

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: Yiqing Xu [aut, cre] , Hongyu Mou [aut], Licheng Liu [aut]
Maintainer: Yiqing Xu <yiqingxu@stanford.edu>

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Package graphicalMCP updated to version 0.2.9 with previous version 0.2.8 dated 2025-05-06

Title: Graphical Multiple Comparison Procedures
Description: Multiple comparison procedures (MCPs) control the familywise error rate in clinical trials. Graphical MCPs include many commonly used procedures as special cases; see Bretz et al. (2011) <doi:10.1002/bimj.201000239>, Lu (2016) <doi:10.1002/sim.6985>, and Xi et al. (2017) <doi:10.1002/bimj.201600233>. This package is a low-dependency implementation of graphical MCPs which allow mixed types of tests. It also includes power simulations and visualization of graphical MCPs.
Author: Dong Xi [aut, cre], Ethan Brockmann [aut], Gilead Sciences, Inc. [cph, fnd]
Maintainer: Dong Xi <dong.xi1@gilead.com>

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Package connectapi updated to version 0.11.1 with previous version 0.11.0 dated 2026-02-25

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

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Package CohortCharacteristics updated to version 1.1.2 with previous version 1.1.1 dated 2026-01-28

Title: Summarise and Visualise Characteristics of Patients in the OMOP CDM
Description: Summarise and visualise the characteristics of patients in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model (CDM).
Author: Marti Catala [aut, cre] , Yuchen Guo [aut] , Mike Du [ctb] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Nuria Mercade-Besora [aut] , Marta Alcalde [aut]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Fri, 20 Mar 2026

Package spatialreg updated to version 1.4-3 with previous version 1.4-2 dated 2025-09-06

Title: Spatial Regression Analysis
Description: A collection of all the estimation functions for spatial cross-sectional models (on lattice/areal data using spatial weights matrices) contained up to now in 'spdep'. These model fitting functions include maximum likelihood methods for cross-sectional models proposed by 'Cliff' and 'Ord' (1973, ISBN:0850860369) and (1981, ISBN:0850860814), fitting methods initially described by 'Ord' (1975) <doi:10.1080/01621459.1975.10480272>. The models are further described by 'Anselin' (1988) <doi:10.1007/978-94-015-7799-1>. Spatial two stage least squares and spatial general method of moment models initially proposed by 'Kelejian' and 'Prucha' (1998) <doi:10.1023/A:1007707430416> and (1999) <doi:10.1111/1468-2354.00027> are provided. Impact methods and MCMC fitting methods proposed by 'LeSage' and 'Pace' (2009) <doi:10.1201/9781420064254> are implemented for the family of cross-sectional spatial regression models. Methods for fitting the log determinant term in maximu [...truncated...]
Author: Roger Bivand [cre, aut] , Gianfranco Piras [aut], Luc Anselin [ctb] , Andrew Bernat [ctb], Eric Blankmeyer [ctb], Yongwan Chun [ctb] , Virgilio Gomez-Rubio [ctb] , Daniel Griffith [ctb] , Martin Gubri [ctb] , Rein Halbersma [ctb], James LeSage [ctb], [...truncated...]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package adespatial updated to version 0.3-29 with previous version 0.3-28 dated 2025-04-16

Title: Multivariate Multiscale Spatial Analysis
Description: Tools for the multiscale spatial analysis of multivariate data. Several methods are based on the use of a spatial weighting matrix and its eigenvector decomposition (Moran's Eigenvectors Maps, MEM). Several approaches are described in the review Dray et al (2012) <doi:10.1890/11-1183.1>.
Author: Stephane Dray [aut] , David Bauman [ctb], Guillaume Blanchet [ctb], Daniel Borcard [ctb], Sylvie Clappe [ctb], Guillaume Guenard [ctb] , Thibaut Jombart [ctb], Guillaume Larocque [ctb], Pierre Legendre [ctb] , Naima Madi [ctb], Helene H Wagner [ctb], [...truncated...]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

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Package ade4 updated to version 1.7-24 with previous version 1.7-23 dated 2025-02-14

Title: Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences
Description: Tools for multivariate data analysis. Several methods are provided for the analysis (i.e., ordination) of one-table (e.g., principal component analysis, correspondence analysis), two-table (e.g., coinertia analysis, redundancy analysis), three-table (e.g., RLQ analysis) and K-table (e.g., STATIS, multiple coinertia analysis). The philosophy of the package is described in Dray and Dufour (2007) <doi:10.18637/jss.v022.i04>.
Author: Stephane Dray [aut] , Anne-Beatrice Dufour [aut] , Jean Thioulouse [aut] , Daniel Chessel [ant], Thibaut Jombart [ctb], Sandrine Pavoine [ctb], Jean R. Lobry [ctb], Sebastien Ollier [ctb], Daniel Borcard [ctb], Pierre Legendre [ctb], Stephanie Bougea [...truncated...]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

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Package matrixCorr updated to version 0.8.5 with previous version 0.8.4 dated 2026-03-03

Title: Collection of Correlation and Association Estimators
Description: Compute correlation and other association matrices from small to high-dimensional datasets with relative simple functions and sensible defaults. Includes options for shrinkage and robustness to improve results in noisy or high-dimensional settings (p >= n), plus convenient print/plot methods for inspection. Implemented with optimised C++ backends using BLAS/OpenMP and memory-aware symmetric updates. Works with base matrices and data frames, returning standard R objects via a consistent S3 interface. Useful across genomics, agriculture, and machine-learning workflows. Supports Pearson, Spearman, Kendall, distance correlation, partial correlation, and robust biweight mid-correlation; Bland–Altman analyses and Lin's concordance correlation coefficient (including repeated-measures extensions). Methods based on Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4>; Schäfer and Strimmer (2005) <doi:10.2202/1544-6115.1175>; Lin (1989) <doi:10.2307/2532051>.
Author: Thiago de Paula Oliveira [aut, cre]
Maintainer: Thiago de Paula Oliveira <thiago.paula.oliveira@gmail.com>

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Package salmonMSE updated to version 1.0.0 with previous version 0.1.0 dated 2025-09-23

Title: Management Strategy Evaluation for Salmon Species
Description: Simulation tools to evaluate the long-term effects of salmon management strategies, including a combination of habitat, harvest, and habitat actions. The stochastic age-structured operating model accommodates complex life histories, including freshwater survival across early life stages, juvenile survival and fishery exploitation in the marine life stage, partial maturity by age class, and fitness impacts of hatchery programs on natural spawning populations. 'salmonMSE' also provides an age-structured conditioning model to develop operating models fitted to data.
Author: Quang Huynh [aut, cre]
Maintainer: Quang Huynh <quang@bluematterscience.com>

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Package multiSA updated to version 0.1.1 with previous version 0.1.0 dated 2026-02-03

Title: Multi-Stock Assessment
Description: Implementation of a next-generation, multi-stock age-structured fisheries assessment model. 'multiSA' is intended for use in mixed fisheries where stock composition can not be readily identified in fishery data alone, e.g., from catch and age/length composition. Models can be fitted to genetic data, e.g., stock composition of catches and close-kin pairs, with seasonal stock availability and movement.
Author: Quang Huynh [aut, cre]
Maintainer: Quang Huynh <quang@bluematterscience.com>

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Package pks updated to version 0.7-0 with previous version 0.6-1 dated 2024-09-16

Title: Probabilistic Knowledge Structures
Description: Fitting and testing probabilistic knowledge structures, especially the basic local independence model (BLIM, Doignon & Flamagne, 1999) and the simple learning model (SLM), using the minimum discrepancy maximum likelihood (MDML) method (Heller & Wickelmaier, 2013 <doi:10.1016/j.endm.2013.05.145>).
Author: Florian Wickelmaier [aut, cre], Juergen Heller [aut], Julian Mollenhauer [aut], Pasquale Anselmi [ctb], Debora de Chiusole [ctb], Andrea Brancaccio [ctb], Luca Stefanutti [ctb], Paul Doerrbecker [ctb]
Maintainer: Florian Wickelmaier <wickelmaier@web.de>

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Package dipsaus updated to version 0.3.4 with previous version 0.3.3 dated 2026-01-09

Title: A Dipping Sauce for Data Analysis and Visualizations
Description: Works as an "add-on" to packages like 'shiny', 'future', as well as 'rlang', and provides utility functions. Just like dipping sauce adding flavors to potato chips or pita bread, 'dipsaus' for data analysis and visualizations adds handy functions and enhancements to popular packages. The goal is to provide simple solutions that are frequently asked for online, such as how to synchronize 'shiny' inputs without freezing the app, or how to get memory size on 'Linux' or 'MacOS' system. The enhancements roughly fall into these four categories: 1. 'shiny' input widgets; 2. high-performance computing using the 'future' package; 3. modify R calls and convert among numbers, strings, and other objects. 4. utility functions to get system information such like CPU chip-set, memory limit, etc.
Author: Zhengjia Wang [aut, cre], John Magnotti [ctb] , Xiang Zhang [ctb]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package summata updated to version 0.11.4 with previous version 0.11.3 dated 2026-03-08

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

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Package docorator updated to version 0.6.0 with previous version 0.5.2 dated 2026-01-23

Title: Docorate (Decorate + Output) Displays
Description: A framework for creating production outputs. Users can frame a table, listing, or figure with headers and footers and save to an output file. Stores an intermediate 'docorator' object for reproducibility and rendering to multiple output types.
Author: Becca Krouse [aut, cre], Shannon Haughton [aut], Seongbin Hong [aut], DragoÈ™ Moldovan-Gruenfeld [aut], GlaxoSmithKline Research & Development Limited [cph, fnd]
Maintainer: Becca Krouse <becca.z.krouse@gsk.com>

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Package xfun updated to version 0.57 with previous version 0.56 dated 2026-01-18

Title: Supporting Functions for Packages Maintained by 'Yihui Xie'
Description: Miscellaneous functions commonly used in other packages maintained by 'Yihui Xie'.
Author: Yihui Xie [aut, cre, cph] , Wush Wu [ctb], Daijiang Li [ctb], Xianying Tan [ctb], Salim Brueggemann [ctb] , Christophe Dervieux [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package TmCalculator updated to version 1.0.4 with previous version 1.0.3 dated 2022-02-20

Title: A Calculator for Melting Temperature of Nucleic Acid Sequences
Description: A comprehensive R package for calculating melting temperatures of nucleic acid sequences. Implements three calculation methods: 1. Wallace rule (Thein & Wallace, 1986) 2. Empirical formulas based on GC content (Marmur, 1962; Schildkraut, 2010; Wetmur, 1991; Untergasser, 2012; von Ahsen, 2001) 3. Nearest neighbor thermodynamics (Breslauer, 1986; Sugimoto, 1996; Allawi, 1998; SantaLucia, 2004; Freier, 1986; Xia, 1998; Chen, 2012; Bommarito, 2000; Turner, 2010; Sugimoto, 1995; Allawi, 1997; Santalucia, 2005) Includes corrections for: - Salt ions (SantaLucia, 1996, 1998; Owczarzy, 2004, 2008) - Chemical compounds (dimethyl sulfoxide, formamide) Supports both direct sequence input and FASTA file input.
Author: Junhui Li [cre, aut]
Maintainer: Junhui Li <ljh.biostat@gmail.com>

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Package RTMB updated to version 1.9 with previous version 1.8 dated 2025-10-14

Title: 'R' Bindings for 'TMB'
Description: Native 'R' interface to 'TMB' (Template Model Builder) so models can be written entirely in 'R' rather than 'C++'. Automatic differentiation, to any order, is available for a rich subset of 'R' features, including linear algebra for dense and sparse matrices, complex arithmetic, Fast Fourier Transform, probability distributions and special functions. 'RTMB' provides easy access to model fitting and validation following the principles of Kristensen, K., Nielsen, A., Berg, C. W., Skaug, H., & Bell, B. M. (2016) <DOI:10.18637/jss.v070.i05> and Thygesen, U.H., Albertsen, C.M., Berg, C.W. et al. (2017) <DOI:10.1007/s10651-017-0372-4>.
Author: Kasper Kristensen [aut, cre]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

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Package reportRmd updated to version 0.1.3 with previous version 0.1.1 dated 2025-01-24

Title: Tidy Presentation of Clinical Reporting
Description: Streamlined statistical reporting in 'Rmarkdown' environments. Facilitates the automated reporting of descriptive statistics, multiple univariate models, multivariable models and tables combining these outputs. Plotting functions include customisable survival curves, forest plots from logistic and ordinal regression and bivariate comparison plots.
Author: Lisa Avery [cre, aut] , Ryan Del Bel [aut], Osvaldo Espin-Garcia [aut], Katherine Lajkosz [aut] , Clarina Ong [aut], Tyler Pittman [aut] , Anna Santiago [aut] , Yanning Wang [ctr], Jessica Weiss [aut], Wei Xu [aut]
Maintainer: Lisa Avery <lisa.avery@uhn.ca>

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Package couplr updated to version 1.2.1 with previous version 1.2.0 dated 2026-03-20

Title: Optimal Pairing and Matching via Linear Assignment
Description: Solves optimal pairing and matching problems using linear assignment algorithms. Provides implementations of the Hungarian method (Kuhn 1955) <doi:10.1002/nav.3800020109>, Jonker-Volgenant shortest path algorithm (Jonker and Volgenant 1987) <doi:10.1007/BF02278710>, Auction algorithm (Bertsekas 1988) <doi:10.1007/BF02186476>, cost-scaling (Goldberg and Kennedy 1995) <doi:10.1007/BF01585996>, scaling algorithms (Gabow and Tarjan 1989) <doi:10.1137/0218069>, push-relabel (Goldberg and Tarjan 1988) <doi:10.1145/48014.61051>, and Sinkhorn entropy-regularized transport (Cuturi 2013) <doi:10.48550/arxiv.1306.0895>. Designed for matching plots, sites, samples, or any pairwise optimization problem. Supports rectangular matrices, forbidden assignments, data frame inputs, batch solving, k-best solutions, and pixel-level image morphing for visualization. Includes automatic preprocessing with variable health checks, multiple scaling methods (standardized, [...truncated...]
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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

Title: A Package for Biometrics and Modelling
Description: A system of functions and datasets to carry out quantitative analyses in the biological sciences. The package facilitates data management, exploratory analyses, and model assessment. Although it currently focuses on forest ecology, silviculture and decision-making, most of the package functions are applicable across several disciplines, including economics, environmental science, and healthcare.
Author: Christian Salas-Eljatib [aut, cre] , Nicolas Campos [ctb] , Marcos Marivil [ctb]
Maintainer: Christian Salas-Eljatib <cseljatib@gmail.com>

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Package rgbif updated to version 3.8.5 with previous version 3.8.4 dated 2025-11-13

Title: Interface to the Global Biodiversity Information Facility API
Description: A programmatic interface to the Web Service methods provided by the Global Biodiversity Information Facility (GBIF; <https://www.gbif.org/developer/summary>). GBIF is a database of species occurrence records from sources all over the globe. rgbif includes functions for searching for taxonomic names, retrieving information on data providers, getting species occurrence records, getting counts of occurrence records, and using the GBIF tile map service to make rasters summarizing huge amounts of data.
Author: Scott Chamberlain [aut] , Damiano Oldoni [aut] , Vijay Barve [ctb] , Peter Desmet [ctb] , Laurens Geffert [ctb], Dan Mcglinn [ctb] , Karthik Ram [ctb] , rOpenSci [fnd] , John Waller [aut, cre]
Maintainer: John Waller <jwaller@gbif.org>

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Package arcgeocoder updated to version 0.4.0 with previous version 0.3.0 dated 2026-01-15

Title: Geocoding with the 'ArcGIS' REST API Service
Description: Lite interface for finding locations of addresses or businesses around the world using the 'ArcGIS' REST API service <https://developers.arcgis.com/rest/geocode/api-reference/overview-world-geocoding-service.htm>. Address text can be converted to location candidates and a location can be converted into an address. No API key required.
Author: Diego Hernangomez [aut, cre, cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package tmbstan updated to version 1.1.0 with previous version 1.0.91 dated 2023-08-26

Title: MCMC Sampling from 'TMB' Model Object using 'Stan'
Description: Enables all 'rstan' functionality for a 'TMB' model object, in particular MCMC sampling and chain visualization. Sampling can be performed with or without Laplace approximation for the random effects. This is demonstrated in Monnahan & Kristensen (2018) <DOI:10.1371/journal.pone.0197954>.
Author: Kasper Kristensen [aut, cre]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

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Package survPen updated to version 2.0.3 with previous version 2.0.2 dated 2025-03-08

Title: Multidimensional Penalized Splines for (Excess) Hazard Models, Relative Mortality Ratio Models and Marginal Intensity Models
Description: Fits (excess) hazard, relative mortality ratio or marginal intensity models with multidimensional penalized splines allowing for time-dependent effects, non-linear effects and interactions between several continuous covariates. In survival and net survival analysis, in addition to modelling the effect of time (via the baseline hazard), one has often to deal with several continuous covariates and model their functional forms, their time-dependent effects, and their interactions. Model specification becomes therefore a complex problem and penalized regression splines represent an appealing solution to that problem as splines offer the required flexibility while penalization limits overfitting issues. Current implementations of penalized survival models can be slow or unstable and sometimes lack some key features like taking into account expected mortality to provide net survival and excess hazard estimates. In contrast, survPen provides an automated, fast, and stable implementation (than [...truncated...]
Author: Mathieu Fauvernier [aut, cre], Laurent Roche [aut], Laurent Remontet [aut], Zoe Uhry [ctb], Nadine Bossard [ctb], Elsa Coz [ctb]
Maintainer: Mathieu Fauvernier <mathieu.fauvernier@gmail.com>

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Package wbids updated to version 1.1.5 with previous version 1.1.4 dated 2026-03-10

Title: Seamless Access to World Bank International Debt Statistics (IDS)
Description: Access and analyze the World Bank's International Debt Statistics (IDS) <https://www.worldbank.org/en/programs/debt-statistics/ids>. IDS provides creditor-debtor relationships between countries, regions, and institutions. 'wbids' enables users to download, process and work with IDS series across multiple geographies, counterparts, and time periods.
Author: Teal Emery [aut, cre], Teal Insights [cph], Christoph Scheuch [aut] , Christopher Smith [ctb]
Maintainer: Teal Emery <lte@tealinsights.com>

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Package inshiny updated to version 0.1.3 with previous version 0.1.2 dated 2026-02-14

Title: Compact Inline Widgets for 'shiny' Apps
Description: Provides a basic set of compact widgets for 'shiny' apps which occupy less space and can appear inline with surrounding text.
Author: Nick Davies [aut, cre]
Maintainer: Nick Davies <nicholas.davies@lshtm.ac.uk>

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Package infocausality updated to version 1.1 with previous version 1.0 dated 2025-11-03

Title: Information-Theoretic Measure of Causality
Description: Methods for quantifying temporal and spatial causality through information flow, and decomposing it into unique, redundant, and synergistic components, following the framework described in Martinez-Sanchez et al. (2024) <doi:10.1038/s41467-024-53373-4>.
Author: Wenbo Lyu [aut, cre, cph]
Maintainer: Wenbo Lyu <lyu.geosocial@gmail.com>

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Package diseasystore updated to version 0.3.3 with previous version 0.3.2 dated 2025-10-17

Title: Feature Stores for the 'diseasy' Framework
Description: Simple feature stores and tools for creating personalised feature stores. 'diseasystore' powers feature stores which can automatically link and aggregate features to a given stratification level. These feature stores are automatically time-versioned (powered by the 'SCDB' package) and allows you to easily and dynamically compute features as part of your continuous integration.
Author: Rasmus Skytte Randloev [aut, cre] , Kaare Graesboell [rev] , Kasper Schou Telkamp [rev] , Lasse Engbo Christiansen [rev] , Marcus Munch Gruenewald [rev] , Sofia Myrup Otero [rev], Statens Serum Institut, SSI [cph, fnd]
Maintainer: Rasmus Skytte Randloev <rske@ssi.dk>

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Package caugi updated to version 1.1.0 with previous version 1.0.0 dated 2026-01-22

Title: Causal Graph Interface
Description: Create, query, and modify causal graphs. 'caugi' (Causal Graph Interface) is a causality-first, high performance graph package that provides a simple interface to build, structure, and examine causal relationships.
Author: Frederik Fabricius-Bjerre [aut, cre, cph], Johan Larsson [aut] , Michael Sachs [aut] , Bjarke Hautop Kristensen [aut]
Maintainer: Frederik Fabricius-Bjerre <frederik@fabriciusbjerre.dk>

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Package bulkreadr updated to version 1.2.2 with previous version 1.2.1 dated 2025-07-28

Title: The Ultimate Tool for Reading Data in Bulk
Description: Designed to simplify and streamline the process of reading and processing large volumes of data in R, this package offers a collection of functions tailored for bulk data operations. It enables users to efficiently read multiple sheets from Microsoft Excel and Google Sheets workbooks, as well as various CSV files from a directory. The data is returned as organized data frames, facilitating further analysis and manipulation. Ideal for handling extensive data sets or batch processing tasks, bulkreadr empowers users to manage data in bulk effortlessly, saving time and effort in data preparation workflows. Additionally, the package seamlessly works with labelled data from SPSS and Stata.
Author: Ezekiel Ogundepo [aut, cre] , Ernest Fokoue [ctb] , Golibe Ezeechesi [ctb], Fatimo Adebanjo [ctb], Isaac Ajao [ctb]
Maintainer: Ezekiel Ogundepo <gbganalyst@gmail.com>

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Package vacalibration updated to version 2.2 with previous version 2.0 dated 2025-07-24

Title: Calibration of Computer-Coded Verbal Autopsy Algorithm
Description: Calibrates population-level cause-specific mortality fractions (CSMFs) that are derived using computer-coded verbal autopsy (CCVA) algorithms. Leveraging the data collected in the Child Health and Mortality Prevention Surveillance (CHAMPS;<https://champshealth.org/>) project, the package stores misclassification matrix estimates of three CCVA algorithms (EAVA, InSilicoVA, and InterVA) and two age groups (neonates aged 0-27 days, and children aged 1-59 months) across countries (specific estimates for Bangladesh, Ethiopia, Kenya, Mali, Mozambique, Sierra Leone, and South Africa, and a combined estimate for all other countries), enabling global calibration. These estimates are obtained using the framework proposed in Pramanik et al. (2025;<doi:10.1214/24-AOAS2006>) and are analyzed in Pramanik et al. (2026;<doi:10.1136/bmjgh-2025-021747>). Given VA-only data for an age group, CCVA algorithm, and country, the package utilizes the corresponding misclassification matrix est [...truncated...]
Author: Sandipan Pramanik [aut, cre] , Emily Wilson [aut], Jacob Fiksel [aut], Brian Gilbert [aut], Abhirup Datta [aut]
Maintainer: Sandipan Pramanik <sandy.pramanik@gmail.com>

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More information about vacalibration at CRAN
Permanent link

Package processmapR readmission to version 0.5.8 with previous version 0.5.7 dated 2025-07-09

Title: Construct Process Maps Using Event Data
Description: Visualize event logs using directed graphs, i.e. process maps. Part of the 'bupaR' framework.
Author: Gert Janssenswillen [aut], Gerard van Hulzen [ctb], Benoît Depaire [cre], Felix Mannhardt [ctb], Thijs Beuving [ctb], urvikalia [ctb], Hasselt University [cph]
Maintainer: Benoît Depaire <benoit.depaire@uhasselt.be>

This is a re-admission after prior archival of version 0.5.7 dated 2025-07-09

Diff between processmapR versions 0.5.7 dated 2025-07-09 and 0.5.8 dated 2026-03-20

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More information about processmapR at CRAN
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New package nTARP with initial version 0.1.0
Package: nTARP
Title: Cluster Analysis Using Thresholding After Random Projections (n-TARP)
Version: 0.1.0
Description: Implements the high-dimensional clustering technique Thresholding After Random Projections (n-TARP). Provides functionality to iteratively decompose larger datasets using contextual variables or within-cluster sum of squares. See Tarun & Boutin (2018) <doi:10.48550/arXiv.1806.05297> and Tarun & Boutin (2018) <doi:10.4231/R74B2ZJV> for the original method and applications.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
Suggests: knitr, rmarkdown, HDclassif
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-17 15:50:24 UTC; reepi
Author: David Reeping [aut, cre], Yunmeng Han [aut], Nahal Rashedi [rev]
Maintainer: David Reeping <reepindp@ucmail.uc.edu>
Repository: CRAN
Date/Publication: 2026-03-20 12:40:02 UTC

More information about nTARP at CRAN
Permanent link

Package NCA updated to version 5.0.0 with previous version 4.0.5 dated 2025-12-21

Title: Necessary Condition Analysis
Description: Performs a Necessary Condition Analysis (NCA). (Dul, J. 2016. Necessary Condition Analysis (NCA). ''Logic and Methodology of 'Necessary but not Sufficient' causality." Organizational Research Methods 19(1), 10-52) <doi:10.1177/1094428115584005>. NCA identifies necessary (but not sufficient) conditions in datasets, where x causes (e.g. precedes) y. Instead of drawing a regression line ''through the middle of the data'' in an xy-plot, NCA draws the ceiling line. The ceiling line y = f(x) separates the area with observations from the area without observations. (Nearly) all observations are below the ceiling line: y <= f(x). The empty zone is in the upper left hand corner of the xy-plot (with the convention that the x-axis is ''horizontal'' and the y-axis is ''vertical'' and that values increase ''upwards'' and ''to the right''). The ceiling line is a (piecewise) linear non-decreasing line: a linear step function or a straight line. It indicates which level of x (e.g., an effort, [...truncated...]
Author: Jan Dul [aut], Govert Buijs [cre]
Maintainer: Govert Buijs <buijs@rsm.nl>

Diff between NCA versions 4.0.5 dated 2025-12-21 and 5.0.0 dated 2026-03-20

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 70 files changed, 1910 insertions(+), 1380 deletions(-)

More information about NCA at CRAN
Permanent link

New package lakefetch with initial version 0.1.3
Package: lakefetch
Title: Calculate Fetch and Wave Exposure for Lake Sampling Points
Version: 0.1.3
Description: Calculates fetch (open water distance) and wave exposure metrics for lake sampling points. Downloads lake boundaries from 'OpenStreetMap', calculates directional fetch using a ray-casting approach, and optionally integrates National Hydrography Dataset ('NHD') data <https://www.usgs.gov/national-hydrography> for hydrological context including outlet and inlet locations. Can estimate lake depth from surface area using empirical relationships, and integrate historical weather data for cumulative wave energy calculations. Includes an optional interactive 'shiny' application for visualization.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1.0)
Imports: sf (>= 1.0-0), osmdata (>= 0.2.0), ggplot2 (>= 3.0.0)
Suggests: nhdplusTools, jsonlite, shiny, leaflet, base64enc, parallel, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/jeremylfarrell/lakefetch
BugReports: https://github.com/jeremylfarrell/lakefetch/issues
NeedsCompilation: no
Packaged: 2026-03-17 14:48:10 UTC; FARREJ2
Author: Jeremy Lynch Farrell [aut, cre]
Maintainer: Jeremy Lynch Farrell <farrej2@rpi.edu>
Repository: CRAN
Date/Publication: 2026-03-20 12:30:02 UTC

More information about lakefetch at CRAN
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Package Epi updated to version 2.63 with previous version 2.61 dated 2025-10-07

Title: Statistical Analysis in Epidemiology
Description: Functions for demographic and epidemiological analysis in the Lexis diagram, i.e. register and cohort follow-up data. In particular representation, manipulation, rate estimation and simulation for multistate data - the Lexis suite of functions, which includes interfaces to 'mstate', 'etm' and 'cmprsk' packages. Contains functions for Age-Period-Cohort and Lee-Carter modeling and a function for interval censored data. Has functions for extracting and manipulating parameter estimates and predicted values (ci.lin and its cousins), as well as a number of epidemiological data sets.
Author: Bendix Carstensen [aut, cre], Martyn Plummer [aut], Esa Laara [ctb], Michael Hills [ctb]
Maintainer: Bendix Carstensen <b@bxc.dk>

Diff between Epi versions 2.61 dated 2025-10-07 and 2.63 dated 2026-03-20

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New package BORG with initial version 0.2.5
Package: BORG
Title: Bounded Outcome Risk Guard for Model Evaluation
Version: 0.2.5
Description: Automatically detects and enforces valid model evaluation by identifying information reuse between training and evaluation data. Guards against data leakage, look-ahead bias, and invalid cross-validation schemes that inflate performance estimates. Supports temporal, spatial, and grouped evaluation structures. Based on evaluation principles described in Roberts et al. (2017) <doi:10.1111/ecog.02881>, Kaufman et al. (2012) <doi:10.1145/2382577.2382579>, and Kapoor & Narayanan (2023) <doi:10.1016/j.patter.2023.100804>.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, methods, stats, utils
Suggests: caret, rsample, tidyselect, recipes, mlr3, sf, ranger, parsnip, workflows, xgboost, lightgbm, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/gcol33/BORG, https://gillescolling.com/BORG/
BugReports: https://github.com/gcol33/BORG/issues
Depends: R (>= 3.5)
NeedsCompilation: yes
Packaged: 2026-03-17 12:44:37 UTC; Gilles Colling
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-20 12:30:09 UTC

More information about BORG at CRAN
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Package aftables updated to version 2.0.0 with previous version 1.0.1 dated 2025-02-19

Title: Create Spreadsheet Publications Following Best Practice
Description: Generate spreadsheet publications that follow best practice guidance from the UK government's Analysis Function, available at <https://analysisfunction.civilservice.gov.uk/policy-store/releasing-statistics-in-spreadsheets/>, with a focus on accessibility. See also the 'Python' package 'gptables'.
Author: Matt Dray [aut], Tim Taylor [ctb], Matt Kerlogue [ctb], Crown Copyright [cph], Olivia Box Power [cre, ctb], Zachary Gleisner [ctb]
Maintainer: Olivia Box Power <Olivia.BoxPower@dhsc.gov.uk>

Diff between aftables versions 1.0.1 dated 2025-02-19 and 2.0.0 dated 2026-03-20

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 54 files changed, 2742 insertions(+), 2091 deletions(-)

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New package qadf with initial version 1.0.0
Package: qadf
Title: Quantile Autoregressive Distributed Lag Unit Root Test
Version: 1.0.0
Description: Implements the Quantile Autoregressive Distributed Lag (QADF) unit root test proposed by Koenker and Xiao (2004) <doi:10.1198/016214504000001114>. The test examines unit root behaviour across the conditional distribution of a time series using quantile regression, providing a richer characterisation of persistence than standard ADF tests. Critical values follow Hansen (1995) <doi:10.1017/S0266466600009713>. Lag order selection is supported via AIC, BIC, or the t-statistic sequential testing approach.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, quantreg
Suggests: testthat (>= 3.0.0)
URL: https://github.com/muhammedalkhalaf/qadf
BugReports: https://github.com/muhammedalkhalaf/qadf/issues
NeedsCompilation: no
Packaged: 2026-03-17 01:45:18 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-20 11:50:02 UTC

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New package gcor with initial version 0.1.0
Package: gcor
Title: Generalized Correlation and Related Measures
Version: 0.1.0
Depends: R (>= 4.0.0)
Description: Generalized correlation and related measures for assessing nonlinear relationships between variables, including mixed-type data. For methodological background, see <https://r-suzuki.github.io/gcor/method.html>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/r-suzuki/gcor-r
BugReports: https://github.com/r-suzuki/gcor-r/issues
NeedsCompilation: no
Packaged: 2026-03-17 07:43:15 UTC; ryota
Author: Ryota Suzuki [aut, cre]
Maintainer: Ryota Suzuki <suzuki@ef-prime.com>
Repository: CRAN
Date/Publication: 2026-03-20 11:40:02 UTC

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New package crystract with initial version 1.0.0
Package: crystract
Title: Crystallographic Information File (CIF) Data Processing Tools
Version: 1.0.0
Maintainer: Don Ngo <dngo@carnegiescience.edu>
Description: Provides a suite of functions to parse Crystallographic Information Files (.cif), extracting essential data such as chemical formulas, unit cell parameters, atomic coordinates, and symmetry operations. It also includes tools to calculate interatomic distances, identify bonded pairs using various algorithms (minimum_distance, brunner_nn_reciprocal, econ_nn, crystal_nn), determine nearest neighbor counts, and calculate bond angles. The package is designed to facilitate the preparation of crystallographic data for further analysis, including machine learning applications in materials science. Methods are described in: Brunner (1977) <doi:10.1107/S0567739477000461>; Hoppe (1979) <doi:10.1524/zkri.1979.150.14.23>; O'Keeffe (1979) <doi:10.1107/S0567739479001765>; Shannon (1976) <doi:10.1107/S0567739476001551>; Pan et al. (2021) <doi:10.1021/acs.inorgchem.0c02996>; Pauling (1960, ISBN:978-0801403330).
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: data.table, dplyr, stringr, future, future.apply, geometry
Suggests: DT, ggplot2, htmlwidgets, knitr, plotly, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
URL: https://prabhulab.github.io/ml-crystals/
NeedsCompilation: no
Packaged: 2026-03-17 10:59:58 UTC; carnegieuser
Author: Don Ngo [aut, cre] , Anirudh Prabhu [aut] , Julia-Maria Hubner [aut]
Repository: CRAN
Date/Publication: 2026-03-20 11:50:08 UTC

More information about crystract at CRAN
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New package mixediffusion with initial version 1.0.0
Package: mixediffusion
Title: Mixed-Effects Diffusion Models with General Drift
Description: Provides tools for likelihood-based inference in one-dimensional stochastic differential equations with mixed effects using expectation–maximization (EM) algorithms. The package supports Wiener and Ornstein–Uhlenbeck diffusion processes with user-specified drift functions, allowing flexible parametric forms including polynomial, exponential, and trigonometric structures. Estimation is performed via Markov chain Monte Carlo EM.
Version: 1.0.0
License: GPL-3
Encoding: UTF-8
Imports: dplyr, adaptMCMC
Maintainer: Pedro Abraham Montoya Calzada <pedroabraham.montoya@gmail.com>
Depends: R (>= 4.5)
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-16 22:49:43 UTC; Abraham
Author: Pedro Abraham Montoya Calzada [aut, cre, cph] , Rogelio Salinas Gutierrez [aut, cph] , Silvia Rodriguez-Narciso [aut, cph] , Netzahualcoyotl Castaneda-Leyva [aut, cph]
Repository: CRAN
Date/Publication: 2026-03-20 10:30:02 UTC

More information about mixediffusion at CRAN
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Package EQUALPrognosis updated to version 0.1.3 with previous version 0.1.2 dated 2026-02-04

Title: Analysing Prognostic Studies
Description: Functions that help with analysis of prognostic study data. This allows users with little experience of developing models to develop models and assess the performance of the prognostic models. This also summarises the information, so the performance of multiple models can be displayed simultaneously. This minor update fixes issues related to memory requirements with large number of simulations and deals with situations when there is overfitting of data. Gurusamy, K (2026)<https://github.com/kurinchi2k/EQUALPrognosis>.
Author: Kurinchi Gurusamy [aut, cre]
Maintainer: Kurinchi Gurusamy <k.gurusamy@ucl.ac.uk>

Diff between EQUALPrognosis versions 0.1.2 dated 2026-02-04 and 0.1.3 dated 2026-03-20

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New package ctlr with initial version 0.1.0
Package: ctlr
Title: Clinical Tolerance Limits for Assessing Agreement
Version: 0.1.0
Description: Implements clinical tolerance limits (CTL) methodology for assessing agreement between two measurement methods. Estimates the true latent trait using Best Linear Unbiased Predictors (BLUP), models bias and variance components, and calculates overall and conditional agreement probabilities. Provides visualization tools including tolerance limit plots and conditional probability of agreement plots with confidence bands. This package is based on methods described in Taffé (2016) <doi:10.1177/0962280216666667>, Taffé (2019) <doi:10.1177/0962280219844535>, and 'Stata' package Taffé (2025) <doi:10.1177/1536867X251365501>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
LazyData: true
Suggests: testthat (>= 3.0.0), withr (>= 2.0.0)
Imports: binom (>= 1.1-1.1), dplyr (>= 1.1.0), ggplot2 (>= 3.3.0), lme4 (>= 1.1-35), lmtest (>= 0.9-40), MASS (>= 7.3-60), mfp2 (>= 1.0.1), sandwich (>= 3.0-0), stats, utils
NeedsCompilation: no
Packaged: 2026-03-16 18:02:07 UTC; dl-rookie
Author: Eliane Maalouf [aut] , Patrick Taffe [cre, aut, cph]
Maintainer: Patrick Taffe <patrick.taffe@unisante.ch>
Repository: CRAN
Date/Publication: 2026-03-20 10:50:02 UTC

More information about ctlr at CRAN
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Package edeaR updated to version 1.0.1 with previous version 1.0.0 dated 2025-11-29

Title: Exploratory and Descriptive Event-Based Data Analysis
Description: Exploratory and descriptive analysis of event based data. Provides methods for describing and selecting process data, and for preparing event log data for process mining. Builds on the S3-class for event logs implemented in the package 'bupaR'.
Author: Benoît Depaire [cre], Gert Janssenswillen [aut], Gerard van Hulzen [ctb], Marijke Swennen [ctb], Ivan Esin [ctb], Felix Mannhardt [ctb], Hasselt University [cph]
Maintainer: Benoît Depaire <benoit.depaire@uhasselt.be>

Diff between edeaR versions 1.0.0 dated 2025-11-29 and 1.0.1 dated 2026-03-20

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Package dartR.sexlinked updated to version 1.2.2 with previous version 1.0.5 dated 2024-06-24

Title: Analysing SNP Data to Identify Sex-Linked Markers
Description: Identifies, filters and exports sex linked markers using 'SNP' (single nucleotide polymorphism) data. To install the other packages, we recommend to install the 'dartRverse' package, that supports the installation of all packages in the 'dartRverse'. If you want understand the applied rational to identify sexlinked markers and/or want to cite 'dartR.sexlinked', you find the information by typing citation('dartR.sexlinked') in the console.
Author: Diana Robledo-Ruiz [aut, cre], Floriaan Devloo-Delva [aut], Bernd Gruber [aut], Arthur Georges [aut], Jose L. Mijangos [aut], Carlo Pacioni [aut], Peter J. Unmack [ctb], Oliver Berry [ctb]
Maintainer: Diana Robledo-Ruiz <diana.robledoruiz1@monash.edu>

Diff between dartR.sexlinked versions 1.0.5 dated 2024-06-24 and 1.2.2 dated 2026-03-20

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More information about dartR.sexlinked at CRAN
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Package couplr updated to version 1.2.0 with previous version 1.1.0 dated 2026-03-03

Title: Optimal Pairing and Matching via Linear Assignment
Description: Solves optimal pairing and matching problems using linear assignment algorithms. Provides implementations of the Hungarian method (Kuhn 1955) <doi:10.1002/nav.3800020109>, Jonker-Volgenant shortest path algorithm (Jonker and Volgenant 1987) <doi:10.1007/BF02278710>, Auction algorithm (Bertsekas 1988) <doi:10.1007/BF02186476>, cost-scaling (Goldberg and Kennedy 1995) <doi:10.1007/BF01585996>, scaling algorithms (Gabow and Tarjan 1989) <doi:10.1137/0218069>, push-relabel (Goldberg and Tarjan 1988) <doi:10.1145/48014.61051>, and Sinkhorn entropy-regularized transport (Cuturi 2013) <doi:10.48550/arxiv.1306.0895>. Designed for matching plots, sites, samples, or any pairwise optimization problem. Supports rectangular matrices, forbidden assignments, data frame inputs, batch solving, k-best solutions, and pixel-level image morphing for visualization. Includes automatic preprocessing with variable health checks, multiple scaling methods (standardized, [...truncated...]
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

Diff between couplr versions 1.1.0 dated 2026-03-03 and 1.2.0 dated 2026-03-20

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Permanent link

Package panelsummary updated to version 0.1.3 with previous version 0.1.2.1 dated 2023-08-16

Title: Create Publication-Ready Regression Tables with Panels
Description: Create an automated regression table that is well-suited for models that are estimated with multiple dependent variables. 'panelsummary' extends 'modelsummary' (Arel-Bundock, V. (2022) <doi:10.18637/jss.v103.i01>) by allowing regression tables to be split into multiple sections with a simple function call. Utilize familiar arguments such as fmt, estimate, statistic, vcov, conf_level, stars, coef_map, coef_omit, coef_rename, gof_map, and gof_omit from 'modelsummary' to clean the table, and additionally, add a row for the mean of the dependent variable without external manipulation.
Author: Michael Topper [aut, cre], Vincent Arel-Bundock [cph]
Maintainer: Michael Topper <miketopper123@gmail.com>

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More information about panelsummary at CRAN
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Package BayesSIM updated to version 1.0.2 with previous version 1.0.1 dated 2026-01-08

Title: Integrated Interface of Bayesian Single Index Models using 'nimble'
Description: Provides tools for fitting Bayesian single index models with flexible choices of priors for both the index and the link function. The package implements model estimation and posterior inference using efficient MCMC algorithms built on the 'nimble' framework, allowing users to specify, extend, and simulate models in a unified and reproducible manner. The following methods are implemented in the package: Antoniadis et al. (2004) <https://www.jstor.org/stable/24307224>, Wang (2009) <doi:10.1016/j.csda.2008.12.010>, Choi et al. (2011) <doi:10.1080/10485251003768019>, Dhara et al. (2019) <doi:10.1214/19-BA1170>, McGee et al. (2023) <doi:10.1111/biom.13569>.
Author: Seowoo Jung [aut, cre], Eun-kyung Lee [aut]
Maintainer: Seowoo Jung <jsw1347@ewha.ac.kr>

Diff between BayesSIM versions 1.0.1 dated 2026-01-08 and 1.0.2 dated 2026-03-20

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Package Rmst (with last version 0.0.3) was removed from CRAN

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

2019-11-12 0.0.3

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Package gromovlab (with last version 0.8-3) was removed from CRAN

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

2021-02-04 0.8-3
2015-07-05 0.7-6
2015-05-25 0.6-16

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

2026-01-29 0.1.3
2025-11-25 0.1.2
2025-11-19 0.1.1
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Previous versions (as known to CRANberries) which should be available via the Archive link are:

2019-10-24 0.0.2
2019-08-27 0.0.1

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2026-03-05 0.3.3

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2025-07-10 1.3.4.1
2022-11-10 1.3.4
2021-10-28 1.3.3
2020-02-13 1.3.2
2018-09-14 1.3.1
2015-01-06 1.3.0
2014-11-16 1.2.11
2014-01-08 1.2.10
2013-07-27 1.2.9
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2013-05-23 1.2.7
2013-02-12 1.2.6
2012-11-15 1.2.5
2012-07-06 1.2.4
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2012-03-15 1.2.1
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2012-02-13 1.1.9
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2019-03-22 2.1.2
2018-10-02 2.1.1
2018-07-05 2.1.0
2017-08-30 2.0.3
2017-04-13 2.0.1
2017-01-10 2.0.0
2016-08-29 1.1.0
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Package XML updated to version 3.99-0.23 with previous version 3.99-0.22 dated 2026-02-10

Title: Tools for Parsing and Generating XML Within R and S-Plus
Description: Many approaches for both reading and creating XML (and HTML) documents (including DTDs), both local and accessible via HTTP or FTP. Also offers access to an 'XPath' "interpreter".
Author: CRAN Team [ctb] , Duncan Temple Lang [aut] , Tomas Kalibera [ctb], Ivan Krylov [cre]
Maintainer: Ivan Krylov <ikrylov@disroot.org>

Diff between XML versions 3.99-0.22 dated 2026-02-10 and 3.99-0.23 dated 2026-03-20

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Package TreeTools updated to version 2.2.0 with previous version 2.1.0 dated 2026-02-11

Title: Create, Modify and Analyse Phylogenetic Trees
Description: Efficient implementations of functions for the creation, modification and analysis of phylogenetic trees. Applications include: generation of trees with specified shapes; tree rearrangement; analysis of tree shape; rooting of trees and extraction of subtrees; calculation and depiction of split support; plotting the position of rogue taxa (Klopfstein & Spasojevic 2019) <doi:10.1371/journal.pone.0212942>; calculation of ancestor-descendant relationships, of 'stemwardness' (Asher & Smith, 2022) <doi:10.1093/sysbio/syab072>, and of tree balance (Mir et al. 2013, Lemant et al. 2022) <doi:10.1016/j.mbs.2012.10.005>, <doi:10.1093/sysbio/syac027>; artificial extinction (Asher & Smith, 2022) <doi:10.1093/sysbio/syab072>; import and export of trees from Newick, Nexus (Maddison et al. 1997) <doi:10.1093/sysbio/46.4.590>, and TNT <https://www.lillo.org.ar/phylogeny/tnt/> formats; and analysis of splits and cladistic information.
Author: Martin R. Smith [aut, cre, cph] , Emmanuel Paradis [cph] , Robert Noble [cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between TreeTools versions 2.1.0 dated 2026-02-11 and 2.2.0 dated 2026-03-20

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Permanent link

Package tgstat updated to version 2.3.32 with previous version 2.3.29 dated 2025-11-12

Title: Amos Tanay's Group High Performance Statistical Utilities
Description: A collection of high performance utilities to compute distance, correlation, auto correlation, clustering and other tasks. Contains graph clustering algorithm described in "MetaCell: analysis of single-cell RNA-seq data using K-nn graph partitions" (Yael Baran, Akhiad Bercovich, Arnau Sebe-Pedros, Yaniv Lubling, Amir Giladi, Elad Chomsky, Zohar Meir, Michael Hoichman, Aviezer Lifshitz & Amos Tanay, 2019 <doi:10.1186/s13059-019-1812-2>).
Author: Michael Hoichman [aut], Aviezer Lifshitz [aut, cre]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>

Diff between tgstat versions 2.3.29 dated 2025-11-12 and 2.3.32 dated 2026-03-20

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Permanent link

Package rxode2 updated to version 5.0.2 with previous version 5.0.1 dated 2025-12-09

Title: Facilities for Simulating from ODE-Based Models
Description: Facilities for running simulations from ordinary differential equation ('ODE') models, such as pharmacometrics and other compartmental models. A compilation manager translates the ODE model into C, compiles it, and dynamically loads the object code into R for improved computational efficiency. An event table object facilitates the specification of complex dosing regimens (optional) and sampling schedules. NB: The use of this package requires both C and Fortran compilers, for details on their use with R please see Section 6.3, Appendix A, and Appendix D in the "R Administration and Installation" manual. Also the code is mostly released under GPL. The 'VODE' and 'LSODA' are in the public domain. The information is available in the inst/COPYRIGHTS.
Author: Matthew L. Fidler [aut, cre] , Wenping Wang [aut], Alan Hindmarsh [ctb], Arun Srinivasan [ctb], Awad H. Al-Mohy [ctb], Bill Denney [ctb] , Cleve Moler [ctb], David Cooley [ctb], Drew Schmidt [ctb], Ernst Hairer [ctb], Gabriel Staples [ctb], Gerhard W [...truncated...]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

Diff between rxode2 versions 5.0.1 dated 2025-12-09 and 5.0.2 dated 2026-03-20

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Package RcppSpdlog updated to version 0.0.28 with previous version 0.0.27 dated 2026-02-12

Title: R and C++ Interfaces to 'spdlog' C++ Header Library for Logging
Description: The mature and widely-used C++ logging library 'spdlog' by Gabi Melman provides many desirable features. This package bundles these header files for easy use by R packages from both their R and C or C++ code. Explicit use via 'LinkingTo:' is also supported. Also see the 'spdl' package which enhanced this package with a consistent R and C++ interface.
Author: Dirk Eddelbuettel [aut, cre] , Gabi Melman [aut] , Victor Zverovic [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppSpdlog versions 0.0.27 dated 2026-02-12 and 0.0.28 dated 2026-03-20

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Package quickSentiment updated to version 0.3.2 with previous version 0.3.1 dated 2026-03-01

Title: A Fast and Flexible Pipeline for Text Classification
Description: A high-level pipeline that simplifies text classification into three streamlined steps: preprocessing, model training, and standardized prediction. It unifies the interface for multiple algorithms (including 'glmnet', 'ranger', 'xgboost', and 'naivebayes') and memory-efficient sparse matrix vectorization methods (Bag-of-Words, Term Frequency, TF-IDF, and Binary). Users can go from raw text to a fully evaluated sentiment model, complete with ROC-optimized thresholds, in just a few function calls. The resulting model artifact automatically aligns the vocabulary of new datasets during the prediction phase, safely appending predicted classes and probability matrices directly to the user's original dataframe to preserve metadata.
Author: Alabhya Dahal [aut, cre]
Maintainer: Alabhya Dahal <alabhya.dahal@gmail.com>

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Package procs updated to version 1.0.8 with previous version 1.0.7 dated 2025-07-27

Title: Recreates Some 'SAS®' Procedures in 'R'
Description: Contains functions to simulate the most commonly used 'SAS®' procedures. Specifically, the package aims to simulate the functionality of 'proc freq', 'proc means', 'proc ttest', 'proc reg', 'proc transpose', 'proc sort', and 'proc print'. The simulation will include recreating all statistics with the highest fidelity possible.
Author: David Bosak [aut, cre], Diyu Yang [aut], Athenkosi Nkonyeni [aut], Kevin Kramer [ctb], Brian Varney [ctb], Duong Tran [ctb], Yifei Chen [ctb]
Maintainer: David Bosak <dbosak01@gmail.com>

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More information about procs at CRAN
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Package gctsc updated to version 0.2.3 with previous version 0.2.0 dated 2026-03-13

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>

Diff between gctsc versions 0.2.0 dated 2026-03-13 and 0.2.3 dated 2026-03-20

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More information about gctsc at CRAN
Permanent link

Package deSolve updated to version 1.42 with previous version 1.41 dated 2026-02-06

Title: Solvers for Initial Value Problems of Differential Equations ('ODE', 'DAE', 'DDE')
Description: Functions that solve initial value problems of a system of first-order ordinary differential equations ('ODE'), of partial differential equations ('PDE'), of differential algebraic equations ('DAE'), and of delay differential equations. The functions provide an interface to the FORTRAN functions 'lsoda', 'lsodar', 'lsode', 'lsodes' of the 'ODEPACK' collection, to the FORTRAN functions 'dvode', 'zvode' and 'daspk' and a C-implementation of solvers of the 'Runge-Kutta' family with fixed or variable time steps. The package contains routines designed for solving 'ODEs' resulting from 1-D, 2-D and 3-D partial differential equations ('PDE') that have been converted to 'ODEs' by numerical differencing.
Author: Karline Soetaert [aut] , Thomas Petzoldt [aut, cre] , R. Woodrow Setzer [aut] , Peter N. Brown [ctb] , George D. Byrne [ctb] , Ernst Hairer [ctb] , Alan C. Hindmarsh [ctb] , Cleve Moler [ctb] , Linda R. Petzold [ctb] , Youcef Saad [ctb] , Clement W. [...truncated...]
Maintainer: Thomas Petzoldt <thomas.petzoldt@tu-dresden.de>

Diff between deSolve versions 1.41 dated 2026-02-06 and 1.42 dated 2026-03-20

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Package dbarts updated to version 0.9-33 with previous version 0.9-32 dated 2025-04-02

Title: Discrete Bayesian Additive Regression Trees Sampler
Description: Fits Bayesian additive regression trees (BART; Chipman, George, and McCulloch (2010) <doi:10.1214/09-AOAS285>) while allowing the updating of predictors or response so that BART can be incorporated as a conditional model in a Gibbs/Metropolis-Hastings sampler. Also serves as a drop-in replacement for package 'BayesTree'.
Author: Vincent Dorie [aut, cre] , Hugh Chipman [aut], Robert McCulloch [aut], Armon Dadgar [ctb] , R Core Team [ctb] , Guido U Draheim [ctb] , Maarten Bosmans [ctb] , Christophe Tournayre [ctb] , Michael Petch [ctb] , Rafael de Lucena Valle [ctb] , Steven G [...truncated...]
Maintainer: Vincent Dorie <vdorie@gmail.com>

Diff between dbarts versions 0.9-32 dated 2025-04-02 and 0.9-33 dated 2026-03-20

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More information about dbarts at CRAN
Permanent link

Package dartR.base updated to version 1.2.3 with previous version 1.2.2 dated 2026-03-12

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>

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Package BayesLogit updated to version 2.3 with previous version 2.1 dated 2019-09-26

Title: PolyaGamma Sampling
Description: Tools for sampling from the PolyaGamma distribution based on Polson, Scott, and Windle (2013) <doi:10.1080/01621459.2013.829001>. Useful for logistic regression.
Author: Nicholas G. Polson [aut, cph], James G. Scott [aut, cph], Jesse Windle [aut, cre, cph], Jari Oksanen [ctb], James Balamuta [ctb]
Maintainer: Jesse Windle <jesse.windle@gmail.com>

Diff between BayesLogit versions 2.1 dated 2019-09-26 and 2.3 dated 2026-03-20

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Package aqp updated to version 2.3.1 with previous version 2.3 dated 2026-01-17

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

Diff between aqp versions 2.3 dated 2026-01-17 and 2.3.1 dated 2026-03-20

 aqp-2.3.1/aqp/DESCRIPTION                                                 |    6 
 aqp-2.3.1/aqp/MD5                                                         |  138 ++--
 aqp-2.3.1/aqp/NAMESPACE                                                   |    6 
 aqp-2.3.1/aqp/NEWS.md                                                     |   34 +
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 aqp-2.3.1/aqp/R/aggregateColor.R                                          |    2 
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 aqp-2.3.1/aqp/R/data-documentation.R                                      |   16 
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 aqp-2.3.1/aqp/man/site.Rd                                                 |    4 
 aqp-2.3.1/aqp/man/soilColorSignature.Rd                                   |    2 
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Package Rserve updated to version 1.8-18 with previous version 1.8-17 dated 2026-02-02

Title: Versatile R Server
Description: Rserve is a versatile, scalable server enabling the efficient use of R from other applications through variety of protocols including QAP, WebSockets, HTTP and HTTPS. It acts as a server (TCP/IP or local sockets) which allows binary requests to be sent to R. Every connection has a separate workspace and working directory. Client-side implementations are available for many popular languages allowing applications to use facilities of R without the need of linking to the R binary. Rserve supports remote connections, user authentication and file transfer. A simple R client is included in this package as well. It also supports OCAP mode for secure remote procedure calls, including support for full event loop, asynchronous results/graphics and console I/O.
Author: Simon Urbanek [aut, cre, cph]
Maintainer: Simon Urbanek <Simon.Urbanek@r-project.org>

Diff between Rserve versions 1.8-17 dated 2026-02-02 and 1.8-18 dated 2026-03-20

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Thu, 19 Mar 2026

Package libdeflate updated to version 1.25-0 with previous version 1.24-7 dated 2025-07-21

Title: DEFLATE Compression and Static Library
Description: Whole-buffer DEFLATE-based compression and decompression of raw vectors using the 'libdeflate' library (see <https://github.com/ebiggers/libdeflate>). Provides the user with additional control over the speed and the quality of DEFLATE compression compared to the fixed level of compression offered in R's 'memCompress()' function. Also provides the 'libdeflate' static library and 'C' headers along with a 'CMake' target and 'package‑config' file that ease linking of 'libdeflate' in packages that compile and statically link bundled libraries using 'CMake'.
Author: Tyler Morgan-Wall [aut, cre] , Eric Biggers [aut, cph], Google LLC [cph], Kevin Ushey [cph]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

Diff between libdeflate versions 1.24-7 dated 2025-07-21 and 1.25-0 dated 2026-03-19

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Package vannstats updated to version 1.6.3.20 with previous version 1.6.1.08 dated 2026-01-09

Title: Simplified Statistical Procedures for Social Sciences
Description: Simplifies functions to conduct univariate, bivariate, and multivariate statistical techniques. Includes functions designed to replicate plots and tables that would result from similar calls in 'SPSS', including hst(), box(), qq(), tab(), cormat(), and residplot(). Also includes simplified formulae, such as mode(), scatter(), p.corr(), ow.anova(), and rm.anova().
Author: Burrel Vann Jr [aut, cre]
Maintainer: Burrel Vann Jr <bvannjr@sdsu.edu>

Diff between vannstats versions 1.6.1.08 dated 2026-01-09 and 1.6.3.20 dated 2026-03-19

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Package INetTool readmission to version 0.1.2 with previous version 0.1.1 dated 2025-06-19

Title: Integration Network
Description: It constructs a Consensus Network which identifies the general information of all the layers and Specific Networks for each layer with the information present only in that layer and not in all the others.The method is described in Policastro et al. (2024) "INet for network integration" <doi:10.1007/s00180-024-01536-8>.
Author: Valeria Policastro [aut, cre] , Matteo Magnani [aut], Claudia Angelini [aut], Annamaria Carissimo [aut]
Maintainer: Valeria Policastro <valeria.policastro@gmail.com>

This is a re-admission after prior archival of version 0.1.1 dated 2025-06-19

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Package ham updated to version 1.2.0 with previous version 1.1.0 dated 2025-10-28

Title: Healthcare Analysis Methods
Description: Conducts analyses for healthcare program evaluations or intervention studies. Calculates regression analyses for standard ordinary least squares (OLS or linear) or logistic models. Performs regression models used for causal modeling such as differences-in-differences (DID) and interrupted time series (ITS) models. Provides limited interpretations of model results and a ranking of variable importance in models. Performs propensity score models, top-coding of model outcome variables, and can return new data with the newly formed variables. Conducts Bayesian analysis summaries and graphs, decision curve analysis, and produces some Shewhart control charts. Also performs Cronbach's alpha for various scale items (e.g., survey questions). See Github URL for examples in the README file. For more details on the statistical methods, see Allen & Yen (1979, ISBN:0-8185-0283-5), Angrist & Pischke (2009, ISBN:9780691120355), Cohen (1988, ISBN:0-8058-0283-5), Gebski (2012) <doi:10.1017/S0 [...truncated...]
Author: Stephen Zuniga [aut, cre, cph]
Maintainer: Stephen Zuniga <rms.shiny@gmail.com>

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Package debiasedTrialEmulation updated to version 0.1.2 with previous version 0.1.0 dated 2025-05-23

Title: Pipeline for Debiased Target Trial Emulation
Description: Supports propensity score-based methods—including matching, stratification, and weighting—for estimating causal treatment effects. It also implements calibration using negative control outcomes to enhance robustness. 'debiasedTrialEmulation' facilitates effect estimation for both binary and time-to-event outcomes, supporting risk ratio (RR), odds ratio (OR), and hazard ratio (HR) as effect measures. It integrates statistical modeling and visualization tools to assess covariate balance, equipoise, and bias calibration. Additional methods—including approaches to address immortal time bias, information bias, selection bias, and informative censoring—are under development. Users interested in these extended features are encouraged to contact the package authors.
Author: Bingyu Zhang [aut, cre], Yiwen Lu [aut], Huilin Tang [aut], Dazheng Zhang [aut], Yuqing Lei [aut], Tingyin Wang [aut], Siqi Chen [aut], Yong Chen [aut]
Maintainer: Bingyu Zhang <bingyuz7@sas.upenn.edu>

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Package stan4bart updated to version 0.0-12 with previous version 0.0-11 dated 2025-12-04

Title: Bayesian Additive Regression Trees with Stan-Sampled Parametric Extensions
Description: Fits semiparametric linear and multilevel models with non-parametric additive Bayesian additive regression tree (BART; Chipman, George, and McCulloch (2010) <doi:10.1214/09-AOAS285>) components and Stan (Stan Development Team (2021) <https://mc-stan.org/>) sampled parametric ones. Multilevel models can be expressed using 'lme4' syntax (Bates, Maechler, Bolker, and Walker (2015) <doi:10.18637/jss.v067.i01>).
Author: Vincent Dorie [aut, cre] , Ben Goodrich [ctb] , Jonah Gabry [ctb] , Imad Ali [ctb] , Sam Brilleman [ctb] , Paul-Christian Burkner [ctb] , Joshua Pritikin [ctb] , Andrew Gelman [ctb] , Bob Carpenter [ctb] , Matt Hoffman [ctb] , Daniel Lee [ctb] , Mich [...truncated...]
Maintainer: Vincent Dorie <vdorie@gmail.com>

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Package EpiForsk updated to version 0.2.1 with previous version 0.2.0 dated 2025-08-20

Title: Code Sharing at the Department of Epidemiology Research at Statens Serum Institut
Description: This is a collection of assorted functions and examples collected from various projects. Currently we have functionalities for simplifying overlapping time intervals, Charlson comorbidity score constructors for Danish data, getting frequency for multiple variables, getting standardized output from logistic and log-linear regressions, sibling design linear regression functionalities a method for calculating the confidence intervals for functions of parameters from a GLM, Bayes equivalent for hypothesis testing with asymptotic Bayes factor, and several help functions for generalized random forest analysis using 'grf'.
Author: Anders Husby [aut] , Anna Laksafoss [aut] , Emilia Myrup Thiesson [aut] , Kim Daniel Jakobsen [aut, cre] , Mikael Andersson [aut] , Klaus Rostgaard [aut]
Maintainer: Kim Daniel Jakobsen <kija@ssi.dk>

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Package naryn updated to version 2.6.34 with previous version 2.6.32 dated 2026-01-18

Title: Native Access Medical Record Retriever for High Yield Analytics
Description: A toolkit for medical records data analysis. The 'naryn' package implements an efficient data structure for storing medical records, and provides a set of functions for data extraction, manipulation and analysis.
Author: Misha Hoichman [aut], Aviezer Lifshitz [aut, cre], Ben Gilat [aut], Netta Mendelson-Cohen [ctb], Rami Jaschek [ctb], Weizmann Institute of Science [cph]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>

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Package misha updated to version 5.6.6 with previous version 5.4.5 dated 2026-02-20

Title: Toolkit for Analysis of Genomic Data
Description: A toolkit for analysis of genomic data. The 'misha' package implements an efficient data structure for storing genomic data, and provides a set of functions for data extraction, manipulation and analysis. Some of the 2D genome algorithms were described in Yaffe and Tanay (2011) <doi:10.1038/ng.947>.
Author: Misha Hoichman [aut], Aviezer Lifshitz [aut, cre], Eitan Yaffe [aut], Amos Tanay [aut], Weizmann Institute of Science [cph]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>

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Package paar updated to version 1.0.2 with previous version 1.0.1 dated 2024-07-30

Title: Precision Agriculture Data Analysis
Description: Precision agriculture spatial data depuration and homogeneous zones (management zone) delineation. The package includes functions that performs protocols for data cleaning management zone delineation and zone comparison; protocols are described in Paccioretti et al., (2020) <doi:10.1016/j.compag.2020.105556>.
Author: Pablo Paccioretti [aut, cre, cph], Mariano Cordoba [aut], Franca Giannini-Kurina [aut], Monica Balzarini [aut]
Maintainer: Pablo Paccioretti <pablopaccioretti@agro.unc.edu.ar>

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Package MetaRVM updated to version 2.0.0 with previous version 1.0.1 dated 2026-01-09

Title: Meta-Population Compartmental Model for Respiratory Virus Diseases
Description: Simulates respiratory virus epidemics using meta-population compartmental models following Fadikar et. al. (2025) <doi:10.1109/WSC68292.2025.11338996>. 'MetaRVM' implements a stochastic SEIRD (Susceptible-Exposed-Infected-Recovered-Dead) framework with demographic stratification by user provided attributes. It supports complex epidemiological scenarios including asymptomatic and presymptomatic transmission, hospitalization dynamics, vaccination schedules, and time-varying contact patterns via mixing matrices.
Author: Arindam Fadikar [aut, cre, cph] , Charles Macal [ctb], Martinez Moyano Ignacio Javier [ctb], Ozik Jonathan [ctb]
Maintainer: Arindam Fadikar <afadikar@anl.gov>

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Package sdcHierarchies updated to version 0.23.0 with previous version 0.22.0 dated 2025-06-26

Title: Create and (Interactively) Modify Nested Hierarchies
Description: Provides functionality to generate, (interactively) modify (by adding, removing and renaming nodes) and convert nested hierarchies between different formats. These tree like structures can be used to define for example complex hierarchical tables used for statistical disclosure control.
Author: Bernhard Meindl [aut, cre]
Maintainer: Bernhard Meindl <bernhard.meindl@statistik.gv.at>

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Package FaaSr updated to version 2.0.0 with previous version 1.4.4 dated 2025-04-04

Title: 'FaaSr' Local Test Development Package
Description: Provides a local execution environment for testing and developing the 'FaaSr' workflows without requiring cloud infrastructure. The 'FaaSr' package enables R developers to validate and test workflows locally before deploying to Function-as-a-Service (FaaS) platforms. Key features include: 1) Parsing and validating JSON workflow configurations compliant with the 'FaaSr' schema 2) Simulated S3 storage operations using local file system with local logging 3) Support for conditional branching 4) Support for parallel rank functions execution 5) Workflow cycle detection and validation 6) No cloud credentials or infrastructure required for testing This package is designed for development and testing purposes. For production deployment to cloud FaaS platforms, use the main 'FaaSr' package available at <https://faasr.io/>.
Author: Figueiredo Renato [aut, cre, ths, cph] , Park Sungjae [aut] , Mu Nan [ctb], Ku Yun-Jung [ctb], Daneshmand Vahid [ctb], Thomas R. Quinn [aut], Carey Cayelan [ctb], Tran Hoang [aut], Ramrakhiani Ashish Tulso [aut]
Maintainer: Figueiredo Renato <renato.figueiredo@oregonstate.edu>

Diff between FaaSr versions 1.4.4 dated 2025-04-04 and 2.0.0 dated 2026-03-19

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 FaaSr-2.0.0/FaaSr/NAMESPACE                                                            |   37 
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Package E2E updated to version 0.1.3 with previous version 0.1.2 dated 2025-12-04

Title: Ensemble Learning Framework for Diagnostic and Prognostic Modeling
Description: Provides a framework to build and evaluate diagnosis or prognosis models using stacking, voting, and bagging ensemble techniques with various base learners. The package also includes tools for visualization and interpretation of models. The development version of the package is available on 'GitHub' at <https://github.com/xiaojie0519/E2E>. The methods are based on the foundational work of Breiman (1996) <doi:10.1007/BF00058655> on bagging and Wolpert (1992) <doi:10.1016/S0893-6080(05)80023-1> on stacking.
Author: Shanjie Luan [aut, cre]
Maintainer: Shanjie Luan <Luan20050519@163.com>

Diff between E2E versions 0.1.2 dated 2025-12-04 and 0.1.3 dated 2026-03-19

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Package WeightIt updated to version 1.6.0 with previous version 1.5.1 dated 2025-11-15

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

Diff between WeightIt versions 1.5.1 dated 2025-11-15 and 1.6.0 dated 2026-03-19

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Package spBPS updated to version 1.0-1 with previous version 0.0-4 dated 2024-10-25

Title: Bayesian Predictive Stacking for Scalable Geospatial Transfer Learning
Description: Provides functions for Bayesian Predictive Stacking within the Bayesian transfer learning framework for geospatial artificial systems, as introduced in "Bayesian Transfer Learning for Artificially Intelligent Geospatial Systems: A Predictive Stacking Approach" (Presicce and Banerjee, 2025) <doi:10.48550/arXiv.2410.09504>. This methodology enables efficient Bayesian geostatistical modeling, utilizing predictive stacking to improve inference across spatial datasets. The core functions leverage 'C++' for high-performance computation, making the framework well-suited for large-scale spatial data analysis in parallel and distributed computing environments. Designed for scalability, it allows seamless application in computationally demanding scenarios.
Author: Luca Presicce [aut, cre] , Sudipto Banerjee [aut]
Maintainer: Luca Presicce <l.presicce@campus.unimib.it>

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Permanent link

New package readecb with initial version 0.1.2
Package: readecb
Title: Access 'European Central Bank' Data
Version: 0.1.2
Description: Provides clean, tidy access to statistical data published by the 'European Central Bank' ('ECB') via the 'ECB Data Portal' API <https://data.ecb.europa.eu>. Covers policy interest rates, 'EURIBOR', euro exchange rates, harmonised consumer price inflation ('HICP'), euro area yield curves, the euro short-term rate ('ESTR'), monetary aggregates (M1, M2, M3), mortgage and lending rates, GDP, unemployment, and government debt-to-GDP. Each dataset has a dedicated function that abstracts away the underlying 'SDMX' key structure, so users do not need to know series codes. A generic fetcher is also provided for direct access to any of the 'ECB' 100-plus dataflows. Data is downloaded on first use and cached locally for subsequent calls.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
URL: https://github.com/charlescoverdale/readecb
BugReports: https://github.com/charlescoverdale/readecb/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), httr2 (>= 1.0.0), tools
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-16 18:12:12 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-19 15:10:02 UTC

More information about readecb at CRAN
Permanent link

Package pulsar readmission to version 0.3.12 with previous version 0.3.11 dated 2023-09-24

Title: Parallel Utilities for Lambda Selection along a Regularization Path
Description: Model selection for penalized graphical models using the Stability Approach to Regularization Selection ('StARS'), with options for speed-ups including Bounded StARS (B-StARS), batch computing, and other stability metrics (e.g., graphlet stability G-StARS). Christian L. Müller, Richard Bonneau, Zachary Kurtz (2016) <doi:10.48550/arXiv.1605.07072>.
Author: Zachary Kurtz [aut, cre], Christian Mueller [aut, ctb]
Maintainer: Zachary Kurtz <zdkurtz@gmail.com>

This is a re-admission after prior archival of version 0.3.11 dated 2023-09-24

Diff between pulsar versions 0.3.11 dated 2023-09-24 and 0.3.12 dated 2026-03-19

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Package NMdata updated to version 0.2.4 with previous version 0.2.3 dated 2026-01-11

Title: Preparation, Checking and Post-Processing Data for PK/PD Modeling
Description: Efficient tools for preparation, checking and post-processing of data in PK/PD (pharmacokinetics/pharmacodynamics) modeling, with focus on use of Nonmem, including consistency, traceability, and Nonmem compatibility of Data. Rigorously checks final Nonmem datasets. Implemented in 'data.table', but easily integrated with 'base' and 'tidyverse'.
Author: Philip Delff [aut, cre], Brian Reilly [ctb], Eric Anderson [ctb]
Maintainer: Philip Delff <philip@delff.dk>

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Package MCS updated to version 0.2.0 with previous version 0.1.3 dated 2017-08-04

Title: Model Confidence Set Procedure
Description: Perform the Model Confidence Set procedure of Hansen et.al (2011).
Author: Leopoldo Catania [aut, cre]
Maintainer: Leopoldo Catania <leopoldo.catania@econ.au.dk>

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 MCS-0.2.0/MCS/R/internalFunctions.R  |only
 MCS-0.2.0/MCS/man/LossLevel.Rd       |   50 +++++++--------
 MCS-0.2.0/MCS/man/LossVaR.Rd         |   84 ++++++++++++++------------
 MCS-0.2.0/MCS/man/LossVol.Rd         |   68 ++++++++++-----------
 MCS-0.2.0/MCS/man/MCSprocedure.Rd    |  113 +++++++++++++++++++----------------
 MCS-0.2.0/MCS/man/SSM-class.Rd       |    4 -
 MCS-0.2.0/MCS/man/SSM-methods.Rd     |    6 -
 21 files changed, 214 insertions(+), 187 deletions(-)

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New package fred with initial version 0.1.2
Package: fred
Title: Access 'Federal Reserve Economic Data'
Version: 0.1.2
Description: Provides clean, tidy access to economic data from the 'Federal Reserve Economic Data' ('FRED') API <https://fred.stlouisfed.org/docs/api/fred/>. 'FRED' is maintained by the 'Federal Reserve Bank of St. Louis' and contains over 800,000 time series from 118 sources covering GDP, employment, inflation, interest rates, trade, and more. Dedicated functions fetch series observations, search for series, browse categories, releases, and tags, and retrieve series metadata. Multiple series can be fetched in a single call. Server-side unit transformations (percent change, log, etc.) and frequency aggregation are supported. Data is cached locally for subsequent calls. This product uses the 'FRED' API but is not endorsed or certified by the 'Federal Reserve Bank of St. Louis'.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/charlescoverdale/fred
BugReports: https://github.com/charlescoverdale/fred/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), httr2 (>= 1.0.0), tools
Suggests: testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-03-16 18:12:16 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-19 15:10:08 UTC

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Package bolasso updated to version 0.5.0 with previous version 0.4.0 dated 2025-10-14

Title: Model Consistent Lasso Estimation Through the Bootstrap
Description: Implements the bolasso algorithm for consistent variable selection and estimation accuracy. Includes support for many parallel backends via the future package. For details see: Bach (2008), 'Bolasso: model consistent Lasso estimation through the bootstrap', <doi:10.48550/arXiv.0804.1302>.
Author: Daniel Molitor [aut, cre]
Maintainer: Daniel Molitor <molitdj97@gmail.com>

Diff between bolasso versions 0.4.0 dated 2025-10-14 and 0.5.0 dated 2026-03-19

 DESCRIPTION                      |    6 
 MD5                              |   20 +-
 NEWS.md                          |   12 +
 R/bolasso_fast.R                 |   34 ++++
 R/methods.R                      |   33 ++++
 R/plot.R                         |  276 ++++++++++++++++++++++++++++-----------
 R/tidy.R                         |   32 +++-
 R/utils.R                        |  184 ++++++++++++++++++++++----
 man/plot_selection_thresholds.Rd |   12 +
 man/selected_variables.Rd        |    4 
 man/selection_thresholds.Rd      |    4 
 11 files changed, 488 insertions(+), 129 deletions(-)

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Package bipartite updated to version 2.24 with previous version 2.23 dated 2025-10-07

Title: Visualising Bipartite Networks and Calculating Some (Ecological) Indices
Description: Functions to visualise webs and calculate a series of indices commonly used to describe pattern in (ecological) webs. It focuses on webs consisting of only two levels (bipartite), e.g. pollination webs or predator-prey-webs. Visualisation is important to get an idea of what we are actually looking at, while the indices summarise different aspects of the web's topology.
Author: Carsten F. Dormann [aut, cre] , Jochen Fruend [aut] , Bernd Gruber [aut] , Tobias Bauer [ctb] , Stephen Beckett [ctb] , Mariano Devoto [ctb] , Gabriel M.F. Felix [ctb] , Jose M. Iriondo [ctb] , Tore Opsahl [ctb] , Rafael B.P. Pinheiro [ctb] , Rouven [...truncated...]
Maintainer: Carsten F. Dormann <carsten.dormann@biom.uni-freiburg.de>

Diff between bipartite versions 2.23 dated 2025-10-07 and 2.24 dated 2026-03-19

 DESCRIPTION                         |    8 -
 MD5                                 |   30 ++--
 R/plotweb.R                         |   19 ++
 R/sortweb.R                         |  207 ++++++++++++++++--------------
 build/partial.rdb                   |binary
 build/vignette.rds                  |binary
 inst/doc/Intro2bipartite.Rnw        |    2 
 inst/doc/Intro2bipartite.pdf        |binary
 inst/doc/PlottingWithBipartite.R    |   13 -
 inst/doc/PlottingWithBipartite.Rmd  |   22 ---
 inst/doc/PlottingWithBipartite.html |  242 ++++++++++++++++--------------------
 man/bipartite-package.Rd            |   12 +
 man/plotweb.Rd                      |    2 
 src/MersenneTwister.h               |    4 
 vignettes/Intro2bipartite.Rnw       |    2 
 vignettes/PlottingWithBipartite.Rmd |   22 ---
 16 files changed, 283 insertions(+), 302 deletions(-)

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New package wf with initial version 0.0.1
Package: wf
Title: Artificial Intelligence Workflow Tools
Version: 0.0.1
Description: Manage skills for large language model coding agents. Supports installing skills from 'GitHub' or local directories, tracking versions in a lock file, and keeping installations current. Installations can be scoped to a single project or shared globally across projects.
URL: https://christophertkenny.com/wf/, https://github.com/christopherkenny/wf
BugReports: https://github.com/christopherkenny/wf/issues
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli (>= 3.6.0), fs, gh, jsonlite, rlang (>= 1.1.0), yaml
Suggests: testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-03-15 22:39:56 UTC; chris
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>
Repository: CRAN
Date/Publication: 2026-03-19 14:40:02 UTC

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New package starburst with initial version 0.3.8
Package: starburst
Title: Seamless AWS Cloud Bursting for Parallel R Workloads
Version: 0.3.8
Description: A 'future' backend that enables seamless execution of parallel R workloads on 'Amazon Web Services' ('AWS', <https://aws.amazon.com>), including 'EC2' and 'Fargate'. 'staRburst' handles environment synchronization, data transfer, quota management, and worker orchestration automatically, allowing users to scale from local execution to 100+ cloud workers with a single line of code change.
License: Apache License 2.0
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: future (>= 1.33.0), globals, paws.compute, paws.storage, paws.management, paws.security.identity, qs2, uuid, renv, jsonlite, crayon, digest, base64enc, processx
Suggests: future.apply, testthat (>= 3.0.0), knitr, rmarkdown, withr, mockery
VignetteBuilder: knitr
URL: https://starburst.ing, https://github.com/scttfrdmn/starburst
BugReports: https://github.com/scttfrdmn/starburst/issues
NeedsCompilation: no
Packaged: 2026-03-16 00:17:30 UTC; scttfrdmn
Author: Scott Friedman [aut, cre]
Maintainer: Scott Friedman <help@starburst.ing>
Repository: CRAN
Date/Publication: 2026-03-19 14:50:02 UTC

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New package readnoaa with initial version 0.1.1
Package: readnoaa
Title: Access 'NOAA' Climate and Weather Data
Version: 0.1.1
Description: Provides clean, tidy access to climate and weather data from the 'National Oceanic and Atmospheric Administration' ('NOAA') via the 'National Centers for Environmental Information' ('NCEI') Data Service API <https://www.ncei.noaa.gov/access/services/data/v1>. Covers daily weather observations, monthly and annual summaries, and 30-year climate normals from over 100,000 stations across 180 countries. No API key is required. Dedicated functions handle the most common datasets, while a generic fetcher provides access to all 'NCEI' datasets. Station discovery functions help users find stations by location or name. Data is downloaded on first use and cached locally for subsequent calls. This package is not endorsed or certified by 'NOAA'.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/charlescoverdale/readnoaa
BugReports: https://github.com/charlescoverdale/readnoaa/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), httr2 (>= 1.0.0), tools
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-16 17:54:01 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre, cph]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-19 15:00:02 UTC

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