Mon, 11 May 2026

Package simmr updated to version 0.5.2 with previous version 0.5.1.217 dated 2024-10-16

Title: A Stable Isotope Mixing Model
Description: Fits Stable Isotope Mixing Models (SIMMs) and is meant as a longer term replacement to the previous widely-used package SIAR. SIMMs are used to infer dietary proportions of organisms consuming various food sources from observations on the stable isotope values taken from the organisms' tissue samples. However SIMMs can also be used in other scenarios, such as in sediment mixing or the composition of fatty acids. The main functions are simmr_load() and simmr_mcmc(). The two vignettes contain a quick start and a full listing of all the features. The methods used are detailed in the papers Parnell et al 2010 <doi:10.1371/journal.pone.0009672>, and Parnell et al 2013 <doi:10.1002/env.2221>.
Author: Emma Govan [aut], Andrew Parnell [cre, aut]
Maintainer: Andrew Parnell <andrew.parnell1@ucd.ie>

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Package ibr updated to version 2.4-1 with previous version 2.4-0 dated 2026-05-03

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

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Package ggplate updated to version 0.3.1 with previous version 0.3.0 dated 2026-05-08

Title: Create Layout Plots of Biological Culture Plates and Microplates
Description: Enables users to create simple plots of biological culture plates as well as microplates. Both continuous and discrete values can be plotted onto the plate layout.
Author: Jan-Philipp Quast [aut, cre]
Maintainer: Jan-Philipp Quast <jpquast.software@gmail.com>

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Package amp.sim updated to version 0.1.1 with previous version 0.1.0 dated 2026-05-07

Title: Flexible Simulation Utilities for Pharmacometric Modeling
Description: The goal of 'amp.sim' is to transform 'NONMEM' models into R syntax so they can be used for simulations using the 'deSolve', 'nlmixr2' or 'mrgsolve' package. Additionally, functionality is included to aid simulations performed directly in 'NONMEM' and to automatically create shiny apps for simulation models.
Author: Richard Hooijmaijers [aut, cre, cph], LAPP Consultants [fnd, cph]
Maintainer: Richard Hooijmaijers <richardhooijmaijers@gmail.com>

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Package tmvmixnorm updated to version 1.2.0 with previous version 1.1.1 dated 2020-09-18

Title: Sampling from Truncated Multivariate Normal and t Distributions
Description: Efficient sampling of truncated multivariate (scale) mixtures of normals under linear inequality constraints is nontrivial due to the analytically intractable normalizing constant. Meanwhile, traditional methods may subject to numerical issues, especially when the dimension is high and dependence is strong. Algorithms proposed by Li and Ghosh (2015) <doi: 10.1080/15598608.2014.996690> are adopted for overcoming difficulties in simulating truncated distributions. Efficient rejection sampling for simulating truncated univariate normal distribution is included in the package, which shows superiority in terms of acceptance rate and numerical stability compared to existing methods and R packages. An efficient function for sampling from truncated multivariate normal distribution subject to convex polytope restriction regions based on Gibbs sampler for conditional truncated univariate distribution is provided. By extending the sampling method, a function for sampling truncated multiv [...truncated...]
Author: Ting Fung Ma [cre, aut], Sujit K. Ghosh [aut], Yifang Li [aut]
Maintainer: Ting Fung Ma <tingfung@mailbox.sc.edu>

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Package SCE updated to version 1.1.4 with previous version 1.1.3 dated 2026-05-08

Title: Stepwise Clustered Ensemble
Description: Implementation of Stepwise Clustered Ensemble (SCE) and Stepwise Cluster Analysis (SCA) for multivariate data analysis. The package provides comprehensive tools for feature selection, model training, prediction, and evaluation in hydrological and environmental modeling applications. Key functionalities include recursive feature elimination (RFE), Wilks feature importance analysis, model validation through out-of-bag (OOB) validation, and ensemble prediction capabilities. The package supports both single and multivariate response variables, making it suitable for complex environmental modeling scenarios. For more details see Li et al. (2021) <doi:10.5194/hess-25-4947-2021>.
Author: Kailong Li [aut, cre]
Maintainer: Kailong Li <lkl98509509@gmail.com>

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Package mLLMCelltype updated to version 2.0.5 with previous version 2.0.0 dated 2026-02-08

Title: Cell Type Annotation Using Large Language Models
Description: Automated cell type annotation for single-cell RNA sequencing data using consensus predictions from multiple large language models. Integrates with Seurat objects and provides uncertainty quantification for annotations. Supports various LLM providers including OpenAI, Anthropic, and Google. For details see Yang et al. (2025) <doi:10.1101/2025.04.10.647852>.
Author: Chen Yang [aut, cre, cph]
Maintainer: Chen Yang <cafferychen777@tamu.edu>

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Package MFRCD updated to version 0.1.1 with previous version 0.1.0 dated 2026-05-06

Title: Optimal Row-Column Designs for Asymmetrical Factorial Experiments
Description: Constructs and analyzes optimal row-column designs for mixed-level factorial experiments under square and rectangular field layouts. For square field layouts, the package implements direct common-factor constructions by first forming two component treatment arrays, one for each factor or super-factor, and then combining them through a symbolic cell-wise product following Gopinath, Parsad and Mandal (2018) <doi:10.1080/03610926.2017.1376091>. For rectangular field layouts, the package constructs designs by extracting a balanced principal block from a mixed-level block design, treating it as the principal column, taking the complete treatment set as the principal row, and generating the full row-column design by cyclic modular development. The package also includes repair utilities for improving disconnected or partially connected row-column designs through bounded treatment-swap searches while preserving the row-column layout structure. The package provides diagnostic tools for co [...truncated...]
Author: Archana A [aut], Sukanta Dash [aut, cre]
Maintainer: Sukanta Dash <sukanta.iasri@gmail.com>

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Package wevid updated to version 0.7.0 with previous version 0.6.2 dated 2019-09-12

Title: Weight of Evidence for Quantifying Performance of a Binary Classifier
Description: The distributions of the weight of evidence (log Bayes factor) favouring case over noncase status in a test dataset (or test folds generated by cross-validation) can be used to quantify the performance of a diagnostic test. This package can be used with any test dataset on which you have computed prior probabilities of case status, posterior probabilities of case status, and you have the observed case-control status. In comparison with the C-statistic (area under ROC curve), the expected weight of evidence (expected information for discrimination) has several advantages as a summary measure of predictive performance. To quantify how the predictor will behave as a risk stratifier, the quantiles of the distributions of weight of evidence in cases and controls can be calculated and plotted.
Author: Paul McKeigue [aut, cre], Marco Colombo [ctb]
Maintainer: Paul McKeigue <paul.mckeigue@ed.ac.uk>

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Package vDiveR readmission to version 2.2.0 with previous version 2.1.0 dated 2025-09-19

Title: Visualization of Viral Protein Sequence Diversity Dynamics
Description: To ease the visualization of outputs from Diversity Motif Analyser ('DiMA'; <https://github.com/BVU-BILSAB/DiMA>). 'vDiveR' allows visualization of the diversity motifs (index and its variants – major, minor and unique) for elucidation of the underlying inherent dynamics. Please refer <https://vdiver-manual.readthedocs.io/en/latest/> for more information.
Author: Pendy Tok [aut, cre], Li Chuin Chong [aut], Evgenia Chikina [aut], Yin Cheng Chen [aut], Mohammad Asif Khan [aut]
Maintainer: Pendy Tok <pendytok0518@gmail.com>

This is a re-admission after prior archival of version 2.1.0 dated 2025-09-19

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Package S4DM updated to version 0.0.2 with previous version 0.0.1 dated 2025-01-10

Title: Small Sample Size Species Distribution Modeling
Description: Implements a set of distribution modeling methods that are suited to species with small sample sizes (e.g., poorly sampled species or rare species). While these methods can also be used on well-sampled taxa, they are united by the fact that they can be utilized with relatively few data points. More details on the currently implemented methodologies can be found in Maitner et al. (2026) <doi:10.1002/ecog.08112>, Drake and Richards (2018) <doi:10.1002/ecs2.2373>, Drake (2015) <doi:10.1098/rsif.2015.0086>, and Drake (2014) <doi:10.1890/ES13-00202.1>.
Author: Brian S. Maitner [aut, cre] , Robert L. Richards [aut], Ben S. Carlson [aut], John M. Drake [aut], Cory Merow [aut]
Maintainer: Brian S. Maitner <bmaitner@usf.edu>

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Package IBclust updated to version 1.3 with previous version 1.2.1 dated 2025-09-19

Title: Information Bottleneck Methods for Clustering Mixed-Type Data
Description: Implements multiple variants of the Information Bottleneck ('IB') method for clustering datasets containing continuous, categorical (nominal/ordinal) and mixed-type variables. The package provides deterministic, agglomerative, generalized, and standard 'IB' clustering algorithms that preserve relevant information while forming interpretable clusters. The Deterministic Information Bottleneck is described in Costa et al. (2026) <doi:10.1016/j.patcog.2026.113580>. The standard 'IB' method originates from Tishby et al. (2000) <doi:10.48550/arXiv.physics/0004057>, the agglomerative variant from Slonim and Tishby (1999) <https://papers.nips.cc/paper/1651-agglomerative-information-bottleneck>, and the generalized 'IB' from Strouse and Schwab (2017) <doi:10.1162/NECO_a_00961>.
Author: Angelos Markos [aut, cre], Efthymios Costa [aut], Ioanna Papatsouma [aut]
Maintainer: Angelos Markos <amarkos@gmail.com>

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Package GPCMlasso updated to version 0.1-9 with previous version 0.1-8 dated 2025-07-23

Title: Differential Item Functioning in Generalized Partial Credit Models
Description: Provides a framework to detect Differential Item Functioning (DIF) in Generalized Partial Credit Models (GPCM) and special cases of the GPCM as proposed by Schauberger and Mair (2019) <doi:10.3758/s13428-019-01224-2>. A joint model is set up where DIF is explicitly parametrized and penalized likelihood estimation is used for parameter selection. The big advantage of the method called GPCMlasso is that several variables can be treated simultaneously and that both continuous and categorical variables can be used to detect DIF.
Author: Gunther Schauberger [aut, cre]
Maintainer: Gunther Schauberger <gunther.schauberger@tum.de>

Diff between GPCMlasso versions 0.1-8 dated 2025-07-23 and 0.1-9 dated 2026-05-11

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Package polite updated to version 0.1.4 with previous version 0.1.3 dated 2023-06-30

Title: Be Nice on the Web
Description: Be responsible when scraping data from websites by following polite principles: introduce yourself, ask for permission, take slowly and never ask twice.
Author: Dmytro Perepolkin [aut, cre]
Maintainer: Dmytro Perepolkin <dperepolkin@gmail.com>

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Package highlightr updated to version 2.0.1 with previous version 2.0.0 dated 2026-04-10

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

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Package algaeClassify updated to version 2.0.6 with previous version 2.0.5 dated 2025-12-01

Title: Tools to Query the 'Algaebase' Online Database, Standardize Phytoplankton Taxonomic Data, and Perform Functional Group Classifications
Description: Functions that facilitate the use of accepted taxonomic nomenclature, collection of functional trait data, and assignment of functional group classifications to phytoplankton species. Possible classifications include Morpho-functional group (MFG; Salmaso et al. 2015 <doi:10.1111/fwb.12520>) and CSR (Reynolds 1988; Functional morphology and the adaptive strategies of phytoplankton. In C.D. Sandgren (ed). Growth and reproductive strategies of freshwater phytoplankton, 388-433. Cambridge University Press, New York). Versions 2.0.0 and later includes new functions for querying the 'algaebase' online taxonomic database (www.algaebase.org), however these functions require a valid API key that must be acquired from the 'algaebase' administrators. Note that none of the 'algaeClassify' authors are affiliated with 'algaebase' in any way. Taxonomic names can also be checked against a variety of taxonomic databases using the 'Global Names Resolver' service via its API (<https://resolver.g [...truncated...]
Author: Vijay Patil [aut, cre], Torsten Seltmann [aut], Nico Salmaso [aut], Orlane Anneville [aut], Marc Lajeunesse [aut], Dietmar Straile [aut]
Maintainer: Vijay Patil <vij.patil@gmail.com>

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Package agricolaeplotr updated to version 1.0.0 with previous version 0.6.1 dated 2025-01-30

Title: Visualization of Design of Experiments from the 'agricolae' Package
Description: Visualization of Design of Experiments from the 'agricolae' package with 'ggplot2' framework The user provides an experiment design from the 'agricolae' package, calls the corresponding function and will receive a visualization with 'ggplot2' based functions that are specific for each design. As there are many different designs, each design is tested on its type. The output can be modified with standard 'ggplot2' commands or with other packages with 'ggplot2' function extensions.
Author: Jens Harbers [aut, cre]
Maintainer: Jens Harbers <jensharbers@gmail.com>

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Sun, 10 May 2026

Package priceR updated to version 1.0.4 with previous version 1.0.3 dated 2025-10-28

Title: Economics and Pricing Tools
Description: Functions to aid in micro and macro economic analysis and handling of price and currency data. Includes extraction of relevant inflation and exchange rate data from World Bank API, data cleaning/parsing, and standardisation. Inflation adjustment calculations as found in Principles of Macroeconomics by Gregory Mankiw et al (2014). Current and historical end of day exchange rates for 171 currencies from the European Central Bank Statistical Data Warehouse (2020).
Author: Steve Condylios [aut, cre], Bruno Mioto [ctb], Bryan Shalloway [ctb]
Maintainer: Steve Condylios <steve.condylios@gmail.com>

Diff between priceR versions 1.0.3 dated 2025-10-28 and 1.0.4 dated 2026-05-10

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Package FracFixR updated to version 1.1.0 with previous version 1.0.0 dated 2025-10-21

Title: Compositional Statistical Framework for RNA Fractionation Analysis
Description: A compositional statistical framework for absolute proportion estimation between fractions in RNA sequencing data. 'FracFixR' addresses the fundamental challenge in fractionated RNA-seq experiments where library preparation and sequencing depth obscure the original proportions of RNA fractions. It reconstructs original fraction proportions using non-negative linear regression, estimates the "lost" unrecoverable fraction, corrects individual transcript frequencies, and performs differential proportion testing between conditions. Supports any RNA fractionation protocol including polysome profiling, sub-cellular localization, and RNA-protein complex isolation.
Author: Alice Cleynen [aut, cre] , Agin Ravindran [aut], Nikolay Shirokikh [aut]
Maintainer: Alice Cleynen <alice.cleynen@cnrs.fr>

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Package COINT updated to version 0.0.3 with previous version 0.0.2 dated 2025-09-30

Title: Unit Root Tests with Structural Breaks and Fully-Modified Estimators
Description: Procedures include Phillips (1995) FMVAR <doi:10.2307/2171721>, Kitamura and Phillips (1997) FMGMM <doi:10.1016/S0304-4076(97)00004-3>, Park (1992) CCR <doi:10.2307/2951679>, and so on. Tests with 1 or 2 structural breaks include Gregory and Hansen (1996) <doi:10.1016/0304-4076(69)41685-7>, Zivot and Andrews (1992) <doi:10.2307/1391541>, and Kurozumi (2002) <doi:10.1016/S0304-4076(01)00106-3>.
Author: Ho Tsung-wu [aut, cre]
Maintainer: Ho Tsung-wu <tsungwu@ntnu.edu.tw>

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Package rqti updated to version 1.2.0 with previous version 1.1.0 dated 2026-02-23

Title: Create Tests According to QTI 2.1 Standard
Description: Create tests and tasks compliant with the Question & Test Interoperability (QTI) information model version 2.1. Input sources are Rmd/md description files or S4-class objects. Output formats include standalone zip or xml files. Supports the generation of basic task types (single and multiple choice, order, pair association, matching tables, filling gaps and essay) and provides a comprehensive set of attributes for customizing tests.
Author: Andrey Shevandrin [aut, cre, cph] , Petr Bondarenko [ctb] , Ivonne Ojeda [ctb], Johannes Titz [aut, cph] , Brian Mottershead [cph] , Stiftung fuer Innovation in der Hochschullehre [fnd]
Maintainer: Andrey Shevandrin <shevandrin@gmail.com>

Diff between rqti versions 1.1.0 dated 2026-02-23 and 1.2.0 dated 2026-05-10

 rqti-1.1.0/rqti/inst/QTIJS/index.xml                                                  |only
 rqti-1.2.0/rqti/DESCRIPTION                                                           |   31 
 rqti-1.2.0/rqti/MD5                                                                   |  487 
 rqti-1.2.0/rqti/NAMESPACE                                                             |  291 
 rqti-1.2.0/rqti/NEWS.md                                                               |   76 
 rqti-1.2.0/rqti/R/AssessmentItem.R                                                    |    6 
 rqti-1.2.0/rqti/R/AssessmentSection.R                                                 |  434 
 rqti-1.2.0/rqti/R/AssessmentTest.R                                                    |  675 
 rqti-1.2.0/rqti/R/AssessmentTestOpal.R                                                |   29 
 rqti-1.2.0/rqti/R/AssessmentTestOpenOlat.R                                            |only
 rqti-1.2.0/rqti/R/DirectedPair.R                                                      |  278 
 rqti-1.2.0/rqti/R/Entry.R                                                             |  374 
 rqti-1.2.0/rqti/R/Essay.R                                                             |   13 
 rqti-1.2.0/rqti/R/Gap.R                                                               |    3 
 rqti-1.2.0/rqti/R/LMS.R                                                               | 1004 
 rqti-1.2.0/rqti/R/MultipleChoiceTable.R                                               |  346 
 rqti-1.2.0/rqti/R/OneInColTable.R                                                     |  248 
 rqti-1.2.0/rqti/R/OneInRowTable.R                                                     |  248 
 rqti-1.2.0/rqti/R/Opal.R                                                              | 1177 
 rqti-1.2.0/rqti/R/Ordering.R                                                          |  346 
 rqti-1.2.0/rqti/R/QtiMetadata.R                                                       |    8 
 rqti-1.2.0/rqti/R/SingleChoice.R                                                      |  344 
 rqti-1.2.0/rqti/R/character.R                                                         |   86 
 rqti-1.2.0/rqti/R/exams_integration.R                                                 |only
 rqti-1.2.0/rqti/R/extract_results.R                                                   |   44 
 rqti-1.2.0/rqti/R/helpers.R                                                           |  113 
 rqti-1.2.0/rqti/R/knit_functions.R                                                    |  374 
 rqti-1.2.0/rqti/R/object_builder.R                                                    |  122 
 rqti-1.2.0/rqti/R/qti_task.R                                                          |   32 
 rqti-1.2.0/rqti/R/qti_test.R                                                          |   40 
 rqti-1.2.0/rqti/R/response_processing.R                                               |   65 
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 rqti-1.2.0/rqti/R/rqti.R                                                              |   66 
 rqti-1.2.0/rqti/R/section_builder.R                                                   |  789 
 rqti-1.2.0/rqti/R/utils-pipe.R                                                        |   28 
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 rqti-1.2.0/rqti/R/zzz.R                                                               |   18 
 rqti-1.2.0/rqti/README.md                                                             |  234 
 rqti-1.2.0/rqti/inst/QTIJS/LICENSE                                                    |   40 
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 rqti-1.2.0/rqti/inst/QTIJS/theme/style.css                                            |    6 
 rqti-1.2.0/rqti/inst/exercises/dp.Rmd                                                 |   32 
 rqti-1.2.0/rqti/inst/exercises/dp.csv                                                 |    8 
 rqti-1.2.0/rqti/inst/exercises/gap1.Rmd                                               |   34 
 rqti-1.2.0/rqti/inst/exercises/gap2.Rmd                                               |   32 
 rqti-1.2.0/rqti/inst/exercises/metadata_template.Rmd                                  |   38 
 rqti-1.2.0/rqti/inst/exercises/mpc1.Rmd                                               |   30 
 rqti-1.2.0/rqti/inst/exercises/mpc1c.Rmd                                              |   44 
 rqti-1.2.0/rqti/inst/exercises/sc1b.Rmd                                               |   26 
 rqti-1.2.0/rqti/inst/exercises/sc1c.Rmd                                               |   54 
 rqti-1.2.0/rqti/inst/exercises/sc1d.xml                                               |  244 
 rqti-1.2.0/rqti/inst/imsqti_v2p1p2.xsd                                                |20968 +++++-----
 rqti-1.2.0/rqti/inst/language-codes_csv.csv                                           |  370 
 rqti-1.2.0/rqti/inst/mathml2/common/common-attribs.xsd                                |   80 
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 rqti-1.2.0/rqti/inst/mathml2/content/arith.xsd                                        |  178 
 rqti-1.2.0/rqti/inst/mathml2/content/calculus.xsd                                     |  290 
 rqti-1.2.0/rqti/inst/mathml2/content/common-attrib.xsd                                |   58 
 rqti-1.2.0/rqti/inst/mathml2/content/constants.xsd                                    |  164 
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 rqti-1.2.0/rqti/inst/mathml2/content/linear-algebra.xsd                               |  344 
 rqti-1.2.0/rqti/inst/mathml2/content/logic.xsd                                        |  104 
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 rqti-1.2.0/rqti/inst/mathml2/content/sets.xsd                                         |  470 
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 rqti-1.2.0/rqti/inst/mathml2/content/tokens.xsd                                       |  238 
 rqti-1.2.0/rqti/inst/mathml2/content/vector-calculus.xsd                              |  174 
 rqti-1.2.0/rqti/inst/mathml2/mathml2.xsd                                              |  118 
 rqti-1.2.0/rqti/inst/mathml2/presentation/action.xsd                                  |   86 
 rqti-1.2.0/rqti/inst/mathml2/presentation/characters.xsd                              |   72 
 rqti-1.2.0/rqti/inst/mathml2/presentation/common-attribs.xsd                          |  232 
 rqti-1.2.0/rqti/inst/mathml2/presentation/common-types.xsd                            |  216 
 rqti-1.2.0/rqti/inst/mathml2/presentation/error.xsd                                   |   78 
 rqti-1.2.0/rqti/inst/mathml2/presentation/layout.xsd                                  |  390 
 rqti-1.2.0/rqti/inst/mathml2/presentation/scripts.xsd                                 |  370 
 rqti-1.2.0/rqti/inst/mathml2/presentation/space.xsd                                   |  102 
 rqti-1.2.0/rqti/inst/mathml2/presentation/style.xsd                                   |  136 
 rqti-1.2.0/rqti/inst/mathml2/presentation/table.xsd                                   |  430 
 rqti-1.2.0/rqti/inst/mathml2/presentation/tokens.xsd                                  |  246 
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 rqti-1.2.0/rqti/inst/rmarkdown/templates/directedpair-complex/skeleton/skeleton.Rmd   |   76 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/directedpair-complex/template.yaml           |    8 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/directedpair-simple/skeleton/skeleton.Rmd    |   42 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/directedpair-simple/template.yaml            |    8 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/dropdown-complex/skeleton/skeleton.Rmd       |   50 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/dropdown-complex/template.yaml               |    8 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/dropdown-simple/skeleton/skeleton.Rmd        |   40 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/dropdown-simple/template.yaml                |    8 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/essay-complex/skeleton/skeleton.Rmd          |   48 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/essay-complex/template.yaml                  |    8 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/essay-simple/skeleton/skeleton.Rmd           |   32 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/essay-simple/template.yaml                   |    8 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/gap-complex/skeleton/skeleton.Rmd            |  120 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/gap-complex/template.yaml                    |    8 
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 rqti-1.2.0/rqti/inst/rmarkdown/templates/gap-simple/template.yaml                     |    8 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/multiplechoice-complex/skeleton/skeleton.Rmd |   46 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/multiplechoice-complex/template.yaml         |    8 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/multiplechoice-simple/skeleton/skeleton.Rmd  |   38 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/multiplechoice-simple/template.yaml          |    8 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/order-complex/skeleton/skeleton.Rmd          |   74 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/order-complex/template.yaml                  |    8 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/order-simple/skeleton/skeleton.Rmd           |   38 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/order-simple/template.yaml                   |    8 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/singlechoice-complex/skeleton/skeleton.Rmd   |   62 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/singlechoice-complex/template.yaml           |    8 
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 rqti-1.2.0/rqti/inst/rmarkdown/templates/singlechoice-simple/template.yaml            |    8 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/table-complex/skeleton/skeleton.Rmd          |   72 
 rqti-1.2.0/rqti/inst/rmarkdown/templates/table-complex/template.yaml                  |    8 
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 rqti-1.2.0/rqti/inst/rmarkdown/templates/table-simple/template.yaml                   |    8 
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 rqti-1.2.0/rqti/inst/xsd/XInclude.xsd                                                 |   96 
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 rqti-1.2.0/rqti/inst/xsd/xml.xsd                                                      |  570 
 rqti-1.2.0/rqti/man/AssessmentTest-class.Rd                                           |   27 
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 rqti-1.2.0/rqti/man/Essay-class.Rd                                                    |    2 
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 rqti-1.2.0/rqti/tests/testthat/file/csv/test_result_items.csv                         |  176 
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 rqti-1.2.0/rqti/tests/testthat/file/md/MultipleChoiceTable_example.md                 |   30 
 rqti-1.2.0/rqti/tests/testthat/file/md/OneInColTable_example.md                       |   30 
 rqti-1.2.0/rqti/tests/testthat/file/md/OneInRowTable_example.md                       |   32 
 rqti-1.2.0/rqti/tests/testthat/file/md/directedPair_example.md                        |   28 
 rqti-1.2.0/rqti/tests/testthat/file/md/fun_gts.md                                     |   32 
 rqti-1.2.0/rqti/tests/testthat/file/md/mc_example.md                                  |   26 
 rqti-1.2.0/rqti/tests/testthat/file/md/order_example.md                               |   24 
 rqti-1.2.0/rqti/tests/testthat/file/md/sc_example1.md                                 |   32 
 rqti-1.2.0/rqti/tests/testthat/file/md/sc_example3.md                                 |   28 
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Package eclipseplot updated to version 0.9.7 with previous version 0.9.6 dated 2026-04-13

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

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Package isoniche updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-13

Title: Calculating Density-Independent Niche Breadth Indices from Abundance Data
Description: Deriving isodar-based niche breadth indices from abundance data of two or more habitats, including several methods based on pairwise isodars, multidimensional isodars, and isodar-adjusted inequality.
Author: Shahar Dubiner [aut, cre] , Itai Granot [aut], Jonathan Belmaker [aut]
Maintainer: Shahar Dubiner <dubiner@mail.tau.ac.il>

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Package ACEP updated to version 0.1.0 with previous version 0.0.22 dated 2023-10-19

Title: Análisis Computacional de Eventos de Protesta
Description: La librería 'ACEP' contiene funciones específicas para desarrollar análisis computacional de eventos de protesta. Asimismo, contiene bases de datos con colecciones de notas sobre protestas y diccionarios de palabras conflictivas. La colección de diccionarios reune diccionarios de diferentes orígenes. The 'ACEP' library contains specific functions to perform computational analysis of protest events. It also contains a database with collections of notes on protests and dictionaries of conflicting words. Collection of dictionaries that brings together dictionaries from different sources.
Author: Agustin Nieto [aut, cre]
Maintainer: Agustin Nieto <agustin.nieto77@gmail.com>

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Package midfieldr updated to version 1.0.3 with previous version 1.0.2 dated 2024-05-16

Title: Tools and Methods for Working with MIDFIELD Data in 'R'
Description: Provides tools and demonstrates methods for working with individual undergraduate student-level records (registrar's data) in 'R'. Tools include filters for program codes, data sufficiency, and timely completion. Methods include gathering blocs of records, computing quantitative metrics such as graduation rate, and creating charts to visualize comparisons. 'midfieldr' interacts with practice data provided in 'midfielddata', an R data package available at <https://midfieldr.github.io/midfielddata/>. 'midfieldr' also interacts with the full MIDFIELD database for users who have access. As of the transfer of MIDFIELD to the American Society for Engineering Education in 2023, the development, expansion, and study of MIDFIELD has been supported by the National Science Foundation grants 0337629, 0646441, 0729596, 0734062, 0835914, 0935157, 0935058, 0969474, 1025171, 1129383, 1232740, 1329283, 1361058, 1545667, 2142087, 2141903, and 2152441.
Author: Richard Layton [cre, aut, cph], Russell Long [aut, cph, dtm], Matthew Ohland [aut, cph], Marisa Orr [aut, cph], Susan Lord [aut, cph]
Maintainer: Richard Layton <graphdoctor@gmail.com>

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Package tidynorm updated to version 0.4.1 with previous version 0.4.0 dated 2025-10-26

Title: Tools for Tidy Vowel Normalization
Description: An implementation of tidy speaker vowel normalization. This includes generic functions for defining new normalization methods for points, formant tracks, and Discrete Cosine Transform coefficients, as well as convenience functions implementing established normalization methods. References for the implemented methods are: Johnson, Keith (2020) <doi:10.5334/labphon.196> Lobanov, Boris (1971) <doi:10.1121/1.1912396> Nearey, Terrance M. (1978) <https://sites.ualberta.ca/~tnearey/Nearey1978_compressed.pdf> Syrdal, Ann K., and Gopal, H. S. (1986) <doi:10.1121/1.393381> Watt, Dominic, and Fabricius, Anne (2002) <https://www.latl.leeds.ac.uk/article/evaluation-of-a-technique-for-improving-the-mapping-of-multiple-speakers-vowel-spaces-in-the-f1-f2-plane/>.
Author: Josef Fruehwald [cre, aut, cph]
Maintainer: Josef Fruehwald <JoFrhwld@gmail.com>

Diff between tidynorm versions 0.4.0 dated 2025-10-26 and 0.4.1 dated 2026-05-10

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Package pkgdiff updated to version 1.0.3 with previous version 1.0.2 dated 2026-03-25

Title: Identifies Package Differences
Description: Identifies differences between versions of a package. Specifically, the functions help determine if there are breaking changes from one package version to the next. The package also includes a stability assessment, to help you determine the overall stability of a package, or even an entire repository.
Author: David Bosak [aut, cre], Brian Varney [ctb], Kevin Putschko [ctb]
Maintainer: David Bosak <dbosak01@gmail.com>

Diff between pkgdiff versions 1.0.2 dated 2026-03-25 and 1.0.3 dated 2026-05-10

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Package gllvm updated to version 2.0.10 with previous version 2.0.5 dated 2025-07-13

Title: Generalized Linear Latent Variable Models
Description: Analysis of multivariate data using generalized linear latent variable models (gllvm). Estimation is performed using either the Laplace method, variational approximations, or extended variational approximations, implemented via TMB (Kristensen et al. (2016), <doi:10.18637/jss.v070.i05>).
Author: Jenni Niku [aut, cre], Wesley Brooks [aut], Riki Herliansyah [aut], Francis K.C. Hui [aut], Pekka Korhonen [aut], Sara Taskinen [aut], Bert van der Veen [aut], David I. Warton [aut]
Maintainer: Jenni Niku <jenni.m.e.niku@jyu.fi>

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Package PurpleAir updated to version 1.1.1 with previous version 1.1.0 dated 2025-09-22

Title: Query the 'PurpleAir' Application Programming Interface
Description: Send requests to the 'PurpleAir' Application Programming Interface (API; <https://community.purpleair.com/c/data/api/18>). Check a 'PurpleAir' API key and get information about the related organization. Download real-time data from a single 'PurpleAir' sensor or many sensors by sensor identifier, geographical bounding box, or time since modified. Download historical data from a single sensor. Stream real time data from monitors on a local area network.
Author: Cole Brokamp [aut, cre, cph]
Maintainer: Cole Brokamp <cole@colebrokamp.com>

Diff between PurpleAir versions 1.1.0 dated 2025-09-22 and 1.1.1 dated 2026-05-10

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Package eks updated to version 1.1.3 with previous version 1.1.2 dated 2025-12-08

Title: Tidy and Geospatial Kernel Smoothing
Description: Extensions of the kernel smoothing functions from the 'ks' package for compatibility with the tidyverse and geospatial ecosystems <doi:10.1007/s00180-024-01543-9>.
Author: Tarn Duong [aut, cre]
Maintainer: Tarn Duong <tarn.duong@gmail.com>

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Package reactRouter updated to version 0.2.0 with previous version 0.1.1 dated 2025-07-23

Title: 'React Router' for 'shiny' Apps and 'Quarto'
Description: Provides a wrapper around the 'react-router-dom' 'React' library for use in 'Shiny' applications and 'Quarto' documents. Enables client-side routing with hash, memory, and browser history strategies, nested routes, dynamic segments, data loaders, actions, and navigation hooks.
Author: Felix Luginbuhl [aut, cre, cph] , Andryas Waurzenczak [ctb]
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>

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More information about reactRouter at CRAN
Permanent link

Package ncmR updated to version 0.3.1 with previous version 0.2.0 dated 2026-04-19

Title: Fit Neutral Community Model to Microbiome or Ecological Data
Description: Provides tools for fitting the neutral community model (NCM) to assess the role of stochastic processes in community assembly. The package implements the framework of Sloan et al. (2006) <doi:10.1111/j.1462-2920.2005.00956.x>, enabling users to evaluate neutral dynamics in ecological and microbial communities.
Author: Yuxuan He [aut, cre, cph]
Maintainer: Yuxuan He <heyuxuan0525@outlook.com>

Diff between ncmR versions 0.2.0 dated 2026-04-19 and 0.3.1 dated 2026-05-10

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More information about ncmR at CRAN
Permanent link

Package talib updated to version 0.9-2 with previous version 0.9-1 dated 2026-04-23

Title: Interface to 'TA-Lib' for Technical Analysis and Candlestick Patterns
Description: Interface to the 'TA-Lib' (Technical Analysis Library) 'C' library, providing access to 150+ indicators (e.g. Average Directional Movement Index (ADX), Moving Average Convergence Divergence (MACD), Relative Strength Index (RSI), Stochastic Oscillator, Bollinger Bands), candlestick pattern recognition, and rolling-window utilities. Core computations are implemented in 'C' for fast Open-High-Low-Close-Volume (OHLCV) time-series feature engineering and rule-based signal generation, with optional interactive visualization via 'plotly'.
Author: Serkan Korkmaz [cre, aut, cph] , Mario Fortier [cph] )
Maintainer: Serkan Korkmaz <serkor1@duck.com>

Diff between talib versions 0.9-1 dated 2026-04-23 and 0.9-2 dated 2026-05-10

 DESCRIPTION                                           |    8 
 MD5                                                   |  788 +++++++++---------
 NEWS.md                                               |    8 
 R/chart_theme.R                                       |   10 
 R/series.R                                            |  320 ++++---
 R/ta_ACCBANDS.R                                       |    6 
 R/ta_AD.R                                             |    6 
 R/ta_ADOSC.R                                          |    6 
 R/ta_ADX.R                                            |    6 
 R/ta_ADXR.R                                           |    6 
 R/ta_APO.R                                            |    6 
 R/ta_AROON.R                                          |    6 
 R/ta_AROONOSC.R                                       |    6 
 R/ta_ATR.R                                            |    6 
 R/ta_AVGPRICE.R                                       |    2 
 R/ta_BBANDS.R                                         |    6 
 R/ta_BOP.R                                            |    6 
 R/ta_CCI.R                                            |    6 
 R/ta_CDL2CROWS.R                                      |    6 
 R/ta_CDL3BLACKCROWS.R                                 |    6 
 R/ta_CDL3INSIDE.R                                     |    6 
 R/ta_CDL3LINESTRIKE.R                                 |    6 
 R/ta_CDL3OUTSIDE.R                                    |    6 
 R/ta_CDL3STARSINSOUTH.R                               |    6 
 R/ta_CDL3WHITESOLDIERS.R                              |    6 
 R/ta_CDLABANDONEDBABY.R                               |    6 
 R/ta_CDLADVANCEBLOCK.R                                |    6 
 R/ta_CDLBELTHOLD.R                                    |    6 
 R/ta_CDLBREAKAWAY.R                                   |    6 
 R/ta_CDLCLOSINGMARUBOZU.R                             |    6 
 R/ta_CDLCONCEALBABYSWALL.R                            |    6 
 R/ta_CDLCOUNTERATTACK.R                               |    6 
 R/ta_CDLDARKCLOUDCOVER.R                              |    6 
 R/ta_CDLDOJI.R                                        |    6 
 R/ta_CDLDOJISTAR.R                                    |    6 
 R/ta_CDLDRAGONFLYDOJI.R                               |    6 
 R/ta_CDLENGULFING.R                                   |    6 
 R/ta_CDLEVENINGDOJISTAR.R                             |    6 
 R/ta_CDLEVENINGSTAR.R                                 |    6 
 R/ta_CDLGAPSIDESIDEWHITE.R                            |    6 
 R/ta_CDLGRAVESTONEDOJI.R                              |    6 
 R/ta_CDLHAMMER.R                                      |    6 
 R/ta_CDLHANGINGMAN.R                                  |    6 
 R/ta_CDLHARAMI.R                                      |    6 
 R/ta_CDLHARAMICROSS.R                                 |    6 
 R/ta_CDLHIGHWAVE.R                                    |    6 
 R/ta_CDLHIKKAKE.R                                     |    6 
 R/ta_CDLHIKKAKEMOD.R                                  |    6 
 R/ta_CDLHOMINGPIGEON.R                                |    6 
 R/ta_CDLIDENTICAL3CROWS.R                             |    6 
 R/ta_CDLINNECK.R                                      |    6 
 R/ta_CDLINVERTEDHAMMER.R                              |    6 
 R/ta_CDLKICKING.R                                     |    6 
 R/ta_CDLKICKINGBYLENGTH.R                             |    6 
 R/ta_CDLLADDERBOTTOM.R                                |    6 
 R/ta_CDLLONGLEGGEDDOJI.R                              |    6 
 R/ta_CDLLONGLINE.R                                    |    6 
 R/ta_CDLMARUBOZU.R                                    |    6 
 R/ta_CDLMATCHINGLOW.R                                 |    6 
 R/ta_CDLMATHOLD.R                                     |    6 
 R/ta_CDLMORNINGDOJISTAR.R                             |    6 
 R/ta_CDLMORNINGSTAR.R                                 |    6 
 R/ta_CDLONNECK.R                                      |    6 
 R/ta_CDLPIERCING.R                                    |    6 
 R/ta_CDLRICKSHAWMAN.R                                 |    6 
 R/ta_CDLRISEFALL3METHODS.R                            |    6 
 R/ta_CDLSEPARATINGLINES.R                             |    6 
 R/ta_CDLSHOOTINGSTAR.R                                |    6 
 R/ta_CDLSHORTLINE.R                                   |    6 
 R/ta_CDLSPINNINGTOP.R                                 |    6 
 R/ta_CDLSTALLEDPATTERN.R                              |    6 
 R/ta_CDLSTICKSANDWICH.R                               |    6 
 R/ta_CDLTAKURI.R                                      |    6 
 R/ta_CDLTASUKIGAP.R                                   |    6 
 R/ta_CDLTHRUSTING.R                                   |    6 
 R/ta_CDLTRISTAR.R                                     |    6 
 R/ta_CDLUNIQUE3RIVER.R                                |    6 
 R/ta_CDLUPSIDEGAP2CROWS.R                             |    6 
 R/ta_CDLXSIDEGAP3METHODS.R                            |    6 
 R/ta_CMO.R                                            |    6 
 R/ta_DEMA.R                                           |    6 
 R/ta_DX.R                                             |    6 
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 R/ta_HT_DCPERIOD.R                                    |    6 
 R/ta_HT_DCPHASE.R                                     |    6 
 R/ta_HT_PHASOR.R                                      |    6 
 R/ta_HT_SINE.R                                        |    6 
 R/ta_HT_TRENDLINE.R                                   |    6 
 R/ta_HT_TRENDMODE.R                                   |    6 
 R/ta_IMI.R                                            |    6 
 R/ta_KAMA.R                                           |    6 
 R/ta_MACD.R                                           |    6 
 R/ta_MACDEXT.R                                        |    6 
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 R/ta_MAMA.R                                           |    6 
 R/ta_MEDPRICE.R                                       |    2 
 R/ta_MFI.R                                            |    6 
 R/ta_MIDPRICE.R                                       |    2 
 R/ta_MINUS_DI.R                                       |    6 
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 R/ta_MOM.R                                            |    6 
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 R/ta_WMA.R                                            |    6 
 README.md                                             |    5 
 build/vignette.rds                                    |binary
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 configure.win                                         |   59 +
 inst/doc/candlestick.html                             |    8 
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 man/dominant_cycle_period.Rd                          |   10 
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 man/double_exponential_moving_average.Rd              |   28 
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 man/exponential_moving_average.Rd                     |   28 
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 man/mesa_adaptive_moving_average.Rd                   |   28 
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 man/normalized_average_true_range.Rd                  |    6 
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 src/dataframe.c                                       |   17 
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More information about talib at CRAN
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Package affiner updated to version 0.3.1 with previous version 0.2.1 dated 2026-01-28

Title: A Finer Way to Render 3D Illustrated Objects in 'grid' Using Affine Transformations
Description: Dilate, permute, project, reflect, rotate, shear, and translate 2D and 3D points. Supports parallel projections including oblique projections such as the cabinet projection as well as axonometric projections such as the isometric projection. Use 'grid's "affine transformation" feature to render illustrated flat surfaces.
Author: Trevor L. Davis [aut, cre]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

Diff between affiner versions 0.2.1 dated 2026-01-28 and 0.3.1 dated 2026-05-10

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Package terra updated to version 1.9-27 with previous version 1.9-25 dated 2026-05-06

Title: Spatial Data Analysis
Description: Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/> to get started.
Author: Robert J. Hijmans [cre, aut] , Andrew Brown [aut] , Marcia Barbosa [aut] , Krzysztof Dyba [ctb] , Roger Bivand [ctb] , Michael Chirico [ctb] , Emanuele Cordano [ctb] , Edzer Pebesma [ctb] , Barry Rowlingson [ctb] , Michael D. Sumner [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

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Package spatstat.utils updated to version 3.2-3 with previous version 3.2-2 dated 2026-03-10

Title: Utility Functions for 'spatstat'
Description: Contains utility functions for the 'spatstat' family of packages which may also be useful for other purposes.
Author: Adrian Baddeley [aut, cre] , Rolf Turner [aut] , Ege Rubak [aut]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package RSQLite updated to version 3.52.0 with previous version 2.4.6 dated 2026-02-06

Title: SQLite Interface for R
Description: Embeds the SQLite database engine in R and provides an interface compliant with the DBI package. The source for the SQLite engine and for various extensions is included. System libraries will never be consulted because this package relies on static linking for the plugins it includes; this also ensures a consistent experience across all installations.
Author: Kirill Mueller [aut, cre] , Hadley Wickham [aut], David A. James [aut], Seth Falcon [aut], D. Richard Hipp [ctb] , Dan Kennedy [ctb] , Joe Mistachkin [ctb] , SQLite Authors [ctb] , Liam Healy [ctb] , R Consortium [fnd], RStudio [cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package modelbased updated to version 0.15.0 with previous version 0.14.0 dated 2026-02-17

Title: Estimation of Model-Based Predictions, Contrasts and Means
Description: Implements a general interface for model-based estimations for a wide variety of models, used in the computation of marginal means, contrast analysis and predictions. For a list of supported models, see 'insight::supported_models()'.
Author: Dominique Makowski [aut, cre] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Remi Theriault [aut]
Maintainer: Dominique Makowski <officialeasystats@gmail.com>

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Package logger updated to version 0.4.2 with previous version 0.4.1 dated 2025-09-11

Title: A Lightweight, Modern and Flexible Logging Utility
Description: Inspired by the the 'futile.logger' R package and 'logging' Python module, this utility provides a flexible and extensible way of formatting and delivering log messages with low overhead.
Author: Gergely Daroczi [aut, cre] , Hadley Wickham [aut] , Jonathan Carroll [ctb] , Spare Cores [fnd], System1 [fnd]
Maintainer: Gergely Daroczi <daroczig@rapporter.net>

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Package junco updated to version 0.1.6 with previous version 0.1.4 dated 2026-02-11

Title: Create Common Tables and Listings Used in Clinical Trials
Description: Structure and formatting requirements for clinical trial table and listing outputs vary between pharmaceutical companies. 'junco' provides additional tooling for use alongside the 'rtables', 'rlistings' and 'tern' packages when creating table and listing outputs. While motivated by the specifics of Johnson and Johnson Clinical and Statistical Programming's table and listing shells, 'junco' provides functionality that is general and reusable. Major features include a) alternative and extended statistical analyses beyond what 'tern' supports for use in standard safety and efficacy tables, b) a robust production-grade Rich Text Format (RTF) and DOCX exporter for tables, listings and graphs, c) structural support for spanning column headers and risk difference columns in tables, and d) robust font-aware automatic column width algorithms for both listings and tables.
Author: Gabriel Becker [cre, aut] , Ilse Augustyns [aut], Paul Jenkins [aut], Daniel Hofstaedter [aut], Joseph Kovach [aut], David Munoz Tord [aut], Daniel Sabanes Bove [aut], Ezequiel Anokian [ctb], Renfei Mao [ctb], Mrinal Das [ctb], Wojciech Wojciak [ctb] [...truncated...]
Maintainer: Gabriel Becker <gabembecker@gmail.com>

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Package fixes updated to version 0.8.1 with previous version 0.7.2 dated 2026-05-02

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

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Package ARDL updated to version 0.2.5 with previous version 0.2.4 dated 2023-08-21

Title: ARDL, ECM and Bounds-Test for Cointegration
Description: Creates complex autoregressive distributed lag (ARDL) models and constructs the underlying unrestricted and restricted error correction model (ECM) automatically, just by providing the order. It also performs the bounds-test for cointegration as described in Pesaran et al. (2001) <doi:10.1002/jae.616> and provides the multipliers and the cointegrating equation. The validity and the accuracy of this package have been verified by successfully replicating the results of Pesaran et al. (2001) in Natsiopoulos and Tzeremes (2022) <doi:10.1002/jae.2919>.
Author: Kleanthis Natsiopoulos [aut, cre] , Nickolaos Tzeremes [ths] , Daniel Finnan [aut]
Maintainer: Kleanthis Natsiopoulos <klnatsio@gmail.com>

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Sat, 09 May 2026

Package marsrad updated to version 1.0.1 with previous version 1.0.0 dated 2025-11-27

Title: Mars Solar Radiation
Description: A set of functions to calculate solar irradiance and insolation on Mars horizontal and inclined surfaces. Based on NASA Technical Memoranda 102299, 103623, 105216, 106321, and 106700, i.e. the canonical Mars solar radiation papers.
Author: Georges Labreche [aut, cre]
Maintainer: Georges Labreche <georges@tanagraspace.com>

Diff between marsrad versions 1.0.0 dated 2025-11-27 and 1.0.1 dated 2026-05-09

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Permanent link

Package gwas2crispr updated to version 0.1.4 with previous version 0.1.2 dated 2025-08-22

Title: GWAS-to-CRISPR Data Pipeline for High-Throughput SNP Target Extraction
Description: Provides a reproducible pipeline to conduct genome-wide association studies (GWAS) and extract single-nucleotide polymorphisms (SNPs) for a human trait or disease. Given aggregated GWAS dataset(s) and a user-defined significance threshold, the package retrieves significant SNPs from the GWAS Catalog and the Experimental Factor Ontology (EFO), annotates their gene context, and can write a harmonised metadata table in comma-separated values (CSV) format, genomic intervals in the Browser Extensible Data (BED) format, and sequences in the FASTA (text-based sequence) format with user-defined flanking regions for clustered regularly interspaced short palindromic repeats (CRISPR) guide design. For details on the resources and methods see: Buniello et al. (2019) <doi:10.1093/nar/gky1120>; Sollis et al. (2023) <doi:10.1093/nar/gkac1010>; Jinek et al. (2012) <doi:10.1126/science.1225829>; Malone et al. (2010) <doi:10.1093/bioinformatics/btq099>; Experimental Factor Ontolo [...truncated...]
Author: Othman S. I. Mohammed [aut, cre], LEOPARD.LY LTD [cph]
Maintainer: Othman S. I. Mohammed <admin@leopard.ly>

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Package Rdistance updated to version 4.4.2 with previous version 4.4.0 dated 2026-04-22

Title: Density and Abundance from Distance-Sampling Surveys
Description: Distance-sampling (<doi:10.1007/978-3-319-19219-2>) is a field survey and analytical method that estimates density and abundance of survey targets (e.g., animals) when detection probability declines with observation distance. Distance-sampling is popular in ecology, especially when survey targets are observed from aerial platforms (e.g., airplane or drone), surface vessels (e.g., boat or truck), or along walking transects. Analysis involves fitting smooth (parametric) curves to histograms of observation distances and using those functions to adjust density estimates for missed targets. Routines included here fit curves to observation distance histograms, estimate effective sampling area, density of targets in surveyed areas, and the abundance of targets in a surrounding study area. Confidence interval estimation uses built-in bootstrap resampling. Help files are extensive and have been vetted by multiple authors. Many tutorials are available on the package's website (URL below).
Author: Trent McDonald [cre, aut], Jason Carlisle [aut], Aidan McDonald [aut] , Ryan Nielson [ctb] , Ben Augustine [ctb] , James Griswald [ctb] , Patrick McKann [ctb] , Lacey Jeroue [ctb] , Hoffman Abigail [ctb] , Kleinsausser Michael [ctb] , Joel Reynolds [ [...truncated...]
Maintainer: Trent McDonald <trent@mcdonalddatasciences.com>

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Package PWEXP updated to version 0.5.1 with previous version 0.5.0 dated 2024-03-12

Title: Piecewise Exponential Distribution Prediction Model
Description: Build piecewise exponential survival model for study design (planning) and event/timeline prediction.
Author: Tianchen Xu [aut, cre] , Wen Zhang [aut]
Maintainer: Tianchen Xu <zjph602xutianchen@gmail.com>

Diff between PWEXP versions 0.5.0 dated 2024-03-12 and 0.5.1 dated 2026-05-09

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Package htsr updated to version 2.1.7 with previous version 2.1.6 dated 2024-08-17

Title: Hydro-Meteorology Time-Series
Description: Functions for the management and treatment of hydrology and meteorology time-series stored in a 'Sqlite' data base.
Author: Pierre Chevallier [aut, cre]
Maintainer: Pierre Chevallier <pierre.chevallier@mailo.com>

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Package tibblify readmission to version 0.4.0 with previous version 0.3.1 dated 2024-01-11

Title: Rectangle Nested Lists
Description: A tool to rectangle a nested list, that is to convert it into a 'tibble'. This is done automatically or according to a given specification. A common use case is for nested lists coming from parsing 'JSON' files, or the 'JSON' responses of 'REST' 'APIs'. 'Rectangling' uses the 'vctrs' package, and therefore offers a wide support of vector types.
Author: Jon Harmon [aut, cre] , Maximilian Girlich [aut, cph], Kirill Mueller [ctb]
Maintainer: Jon Harmon <jonthegeek@gmail.com>

This is a re-admission after prior archival of version 0.3.1 dated 2024-01-11

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Package ecolRxC updated to version 0.1.1-16 with previous version 0.1.1-10 dated 2023-03-31

Title: Ecological Inference of RxC Tables by Latent Structure Approaches
Description: Estimates RxC (R by C) vote transfer matrices (ecological contingency tables) from aggregate data building on Thomsen (1987) and Park (2008) approaches. References: Park, W.-H. (2008). ''Ecological Inference and Aggregate Analysis of Election''. PhD Dissertation. University of Michigan. <https://deepblue.lib.umich.edu/bitstream/handle/2027.42/58525/wpark_1.pdf> Pavía, J.M. and Thomsen, S.R. (2025) ''ecolRxC: Ecological inference estimation of RxC tables using latent structure approaches''. Political Science Research and Methods, 13(4), 943-961. <doi:10.1017/psrm.2024.57> Thomsen, S.R. (1987, ISBN:87-7335-037-2). ''Danish Elections 1920 79: a Logit Approach to Ecological Analysis and Inference''. Politica, Aarhus, Denmark. Acknowledgements: The authors wish to thank Generalitat Valenciana (Conselleria de Educacion, Cultura y Universidades), grant CIACIO/2023/031, and Ministerio de Economia e Innovacion, grant PID2021-128228NB-I00, for supporting this research.
Author: Jose M. Pavia [aut, cre] , Soeren Risbjerg Thomsen [aut]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>

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Package clordr readmission to version 1.7.2 with previous version 1.7.0 dated 2022-03-25

Title: Composite Likelihood Inference and Diagnostics for Replicated Spatial Ordinal Data
Description: Composite likelihood parameter estimate and asymptotic covariance matrix are calculated for the spatial ordinal data with replications, where spatial ordinal response with covariate and both spatial exponential covariance within subject and independent and identically distributed measurement error. Parameter estimation can be performed by either solving the gradient function or maximizing composite log-likelihood. Parametric bootstrapping is used to estimate the Godambe information matrix and hence the asymptotic standard error and covariance matrix with parallel processing option. Moreover, the proposed surrogate residual, which extends the results of Liu and Zhang (2017) <doi: 10.1080/01621459.2017.1292915>, can act as a useful tool for model diagnostics.
Author: Ting Fung Ma [cre, aut], Pingping Wang [aut], Jun Zhu [aut], Dipankar Bandyopadhyay [ctb], Yincai Tang [ctb]
Maintainer: Ting Fung Ma <tingfung@mailbox.sc.edu>

This is a re-admission after prior archival of version 1.7.0 dated 2022-03-25

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Package climatekit updated to version 0.2.0 with previous version 0.1.0 dated 2026-03-23

Title: Unified Climate Indices for Temperature, Precipitation, and Drought
Description: Compute the standard suite of climate indices from daily weather observations. Provides the canonical 'ETCCDI' 27 (Expert Team on Climate Change Detection and Indices), the 'ET-SCI' heatwave and cold-wave families plus the Excess Heat Factor of Nairn and Fawcett (2013), and agroclimatic, drought, and human-comfort families. Drought indices ('SPI', 'SPEI') accept a choice of distribution (gamma or Pearson III for SPI; log-logistic or generalised extreme value for SPEI). Reference evapotranspiration is available via Hargreaves and the FAO-56 Penman-Monteith method (Allen et al. 1998). Percentile-based indices support the Zhang (2005) in-base bootstrap. Daily inputs are numeric vectors plus a 'Date' vector; outputs are tidy data frames. Optional gridded support via 'terra' applies any index over a 'SpatRaster' and reads 'netCDF' input. No external API calls; pairs with data packages such as 'readnoaa'. References: Alexander et al. (2006) <doi:10.1029/2005JD006290>; Zhang et al. (201 [...truncated...]
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package azr updated to version 0.3.4 with previous version 0.3.3 dated 2026-05-04

Title: Credential Chain for Seamless 'OAuth 2.0' Authentication to 'Azure Services'
Description: Implements a credential chain for 'Azure OAuth 2.0' authentication based on the package 'httr2''s 'OAuth' framework. Sequentially attempts authentication methods until one succeeds. During development allows interactive browser-based flows ('Device Code' and 'Auth Code' flows) and non-interactive flow ('Client Secret') in batch mode.
Author: Pedro Baltazar [aut, cre]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>

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Package ume updated to version 1.6.1 with previous version 1.5.2 dated 2025-12-12

Title: Ultrahigh-Resolution Mass Spectrometry Data Evaluation for Complex Organic Matter
Description: Provides tools for assigning molecular formulas from exact masses obtained by ultrahigh-resolution mass spectrometry. The methodology follows the workflow described in Leefmann et al. (2019) <doi:10.1002/rcm.8315>. The package supports the inspection, filtering and visualization of molecular formula data and includes utilities for calculating common molecular parameters (e.g., double bond equivalents, DBE). A graphical user interface is available via the 'shiny'-based 'ume' application.
Author: Boris Koch [aut, cre] , Stephan Frickenhaus [ctb] , Oliver Lechtenfeld [ctb] , Tim Leefmann [ctb] , Fabian Moye [ctb]
Maintainer: Boris Koch <boris.koch@awi.de>

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Package odbc updated to version 1.7.0 with previous version 1.6.4.1 dated 2025-12-24

Title: Connect to ODBC Compatible Databases (using the DBI Interface)
Description: A DBI-compatible interface to ODBC databases.
Author: Jim Hester [aut], Hadley Wickham [aut, cre], Oliver Gjoneski [aut], Simon Couch [aut], lexicalunit [cph] , Google Inc. [cph] , Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package growthcleanr updated to version 2.2.3 with previous version 2.2.1 dated 2026-02-18

Title: Data Cleaner for Anthropometric Measurements
Description: Identifies implausible anthropometric (e.g., height, weight) measurements in irregularly spaced longitudinal datasets, such as those from electronic health records.
Author: Carrie Daymont [ctb, cre], Robert Grundmeier [aut], Jeffrey Miller [aut], Diego Campos [aut], Dan Chudnov [ctb], Hannah De los Santos [ctb], Lusha Cao [ctb], Steffani Silva [ctb], Hanzhe Zhang [ctb], Matt Boyas [ctb], David Freedman [ctb], Andreas Ac [...truncated...]
Maintainer: Carrie Daymont <cdaymont@pennstatehealth.psu.edu>

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Package xpose.nlmixr2 updated to version 0.4.2 with previous version 0.4.1 dated 2025-06-27

Title: Graphical Diagnostics for Pharmacometric Models: Extension to 'nlmixr2'
Description: Extension to 'xpose' to support 'nlmixr2'. Provides functions to import 'nlmixr2' fit data into an 'xpose' data object, allowing the use of 'xpose' for 'nlmixr2' model diagnostics.
Author: Justin Wilkins [aut, cre, cph], Matthew Fidler [aut, cph], Benjamin Guiastrennec [aut], Andrew C. Hooker [aut], Anna Olofsson [aut, cph], Sebastian Ueckert [aut], Ron Keizer [aut], Kajsa Harling [ctb], Mike K. Smith [ctb], Elodie Plan [ctb], Mats O. [...truncated...]
Maintainer: Justin Wilkins <justin.wilkins@occams.com>

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Package waterfalls updated to version 1.1.4 with previous version 1.0.0 dated 2022-11-20

Title: Create Waterfall Charts using 'ggplot2' Simply
Description: A not uncommon task for quants is to create 'waterfall charts'. There seems to be no simple way to do this in 'ggplot2' currently. This package contains a single function (waterfall) that simply draws a waterfall chart in a 'ggplot2' object. Some flexibility is provided, though often the object created will need to be modified through a theme.
Author: Hugh Parsonage [aut, cre]
Maintainer: Hugh Parsonage <hugh.parsonage+waterfall@gmail.com>

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Package uaparserjs updated to version 0.3.8 with previous version 0.3.7 dated 2026-04-01

Title: Parse 'User-Agent' Strings
Description: Despite there being a section in RFC 7231 <https://datatracker.ietf.org/doc/html/rfc7231#section-5.5.3> defining a suggested structure for 'User-Agent' headers this data is notoriously difficult to parse consistently. Tools are provided that will take in user agent strings and return structured R objects. This is a 'V8'-backed package based on the 'ua-parser' project <https://github.com/ua-parser>.
Author: Bob Rudis [aut, cph], Greg Hunt [aut, cre, cph], Lindsey Simon [aut] , Tobie Langel [aut] , Colman Humphrey [ctb]
Maintainer: Greg Hunt <greg@firmansyah.com>

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Package TreeDist updated to version 2.14.0 with previous version 2.12.0 dated 2026-02-13

Title: Calculate and Map Distances Between Phylogenetic Trees
Description: Implements measures of tree similarity, including information-based generalized Robinson-Foulds distances (Phylogenetic Information Distance, Clustering Information Distance, Matching Split Information Distance; Smith 2020) <doi:10.1093/bioinformatics/btaa614>; Jaccard-Robinson-Foulds distances (Bocker et al. 2013) <doi:10.1007/978-3-642-40453-5_13>, including the Nye et al. (2006) metric <doi:10.1093/bioinformatics/bti720>; the Matching Split Distance (Bogdanowicz & Giaro 2012) <doi:10.1109/TCBB.2011.48>; the Hierarchical Mutual Information (Perotti et al. 2015) <doi:10.1103/PhysRevE.92.062825>; Maximum Agreement Subtree distances; the Kendall-Colijn (2016) distance <doi:10.1093/molbev/msw124>, and the Nearest Neighbour Interchange (NNI) distance, approximated per Li et al. (1996) <doi:10.1007/3-540-61332-3_168>. Includes tools for visualizing mappings of tree space (Smith 2022) <doi:10.1093/sysbio/syab100>, for identifying islands o [...truncated...]
Author: Martin R. Smith [aut, cre, cph, prg] , Roy Jonker [prg, cph] , Yong Yang [ctb, cph] , Yi Cao [ctb, cph] , Neil Kaye [cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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More information about TreeDist at CRAN
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Package tram updated to version 1.4-2 with previous version 1.4-1 dated 2026-03-08

Title: Transformation Models
Description: Formula-based user-interfaces to specific transformation models implemented in package 'mlt' (<DOI:10.32614/CRAN.package.mlt>, <DOI:10.32614/CRAN.package.mlt.docreg>). Available models include Cox models, some parametric survival models (Weibull, etc.), models for ordered categorical variables, normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression (Lohse et al., 2017, <DOI:10.12688/f1000research.12934.1>). The underlying theory is described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>. An extension to transformation models for clustered data is provided (Barbanti and Hothorn, 2022, <DOI:10.1093/biostatistics/kxac048>) and a tutorial explains applications in survival analysis (Siegfried et al., 2025, <DOI:10.48550/arXiv.2402.06428>). Multivariate conditional transformation models (Klein et al, 2022, <DOI:10.1111/sjos.12501>) and shift-scale transformation models (Siegfried et al, 2023, <DOI:10.108 [...truncated...]
Author: Torsten Hothorn [aut, cre] , Luisa Barbanti [ctb] , Sandra Siegfried [aut] , Lucas Kook [aut] , Susanne Dandl [ctb] , Brian Ripley [ctb], Bill Venables [ctb], Douglas M. Bates [ctb], Nadja Klein [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between tram versions 1.4-1 dated 2026-03-08 and 1.4-2 dated 2026-05-09

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Package tmap.networks updated to version 0.2 with previous version 0.1 dated 2025-05-30

Title: Extension to 'tmap' for Creating Network Visualizations
Description: Provides functions for visualizing networks with 'tmap'. It supports 'sfnetworks' objects natively but is not limited to them. Useful for adding network layers such as edges and nodes to 'tmap' maps. More features may be added in future versions.
Author: Martijn Tennekes [aut, cre], Andrea Gilardi [aut] , Robin Lovelace [ctb]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

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Package tmap.mapgl updated to version 0.2-1 with previous version 0.1.0 dated 2025-09-22

Title: Extensions to 'tmap' with Two New Modes: 'mapbox' and 'maplibre'
Description: The 'tmap' package provides two plotting modes for static and interactive thematic maps. This package extends 'tmap' with two additional modes based on 'Mapbox GL JS' and 'MapLibre GL JS'. These modes feature interactive vector tiles, globe views, and other modern web-mapping capabilities, while maintaining a consistent 'tmap' interface across all plotting modes.
Author: Martijn Tennekes [aut, cre]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tmap.mapgl versions 0.1.0 dated 2025-09-22 and 0.2-1 dated 2026-05-09

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Package tmap.glyphs updated to version 0.1-1 with previous version 0.1 dated 2025-05-30

Title: Extension to 'tmap' for Creating Glyphs
Description: Provides new layer functions to 'tmap' for drawing glyphs. A glyph is a small chart (e.g., donut chart) shown at specific map locations to visualize multivariate or time-series data. The functions work with the syntax of 'tmap' and allow flexible control over size, layout, and appearance.
Author: Martijn Tennekes [aut, cre]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tmap.glyphs versions 0.1 dated 2025-05-30 and 0.1-1 dated 2026-05-09

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Package tmap.cartogram updated to version 0.2-1 with previous version 0.2 dated 2025-05-14

Title: Extension to 'tmap' for Creating Cartograms
Description: Provides new layer functions to 'tmap' for creating various types of cartograms. A cartogram is a type of thematic map in which geographic areas are resized or distorted based on a quantitative variable, such as population. The goal is to make the area sizes proportional to the selected variable while preserving geographic positions as much as possible.
Author: Martijn Tennekes [aut, cre], Sebastian Jeworutzki [ctb]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tmap.cartogram versions 0.2 dated 2025-05-14 and 0.2-1 dated 2026-05-09

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Package survPen updated to version 2.0.4 with previous version 2.0.3 dated 2026-03-20

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>

Diff between survPen versions 2.0.3 dated 2026-03-20 and 2.0.4 dated 2026-05-09

 survPen-2.0.3/survPen/R/survPenV2_03.r                                                                  |only
 survPen-2.0.4/survPen/DESCRIPTION                                                                       |    9 
 survPen-2.0.4/survPen/MD5                                                                               |   88 
 survPen-2.0.4/survPen/NEWS                                                                              |   14 
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 survPen-2.0.4/survPen/man/HeartFailure.Rd                                                               |    2 
 survPen-2.0.4/survPen/man/NR.beta.Rd                                                                    |    2 
 survPen-2.0.4/survPen/man/NR.rho.Rd                                                                     |    2 
 survPen-2.0.4/survPen/man/constraint.Rd                                                                 |    2 
 survPen-2.0.4/survPen/man/cor.var.Rd                                                                    |    2 
 survPen-2.0.4/survPen/man/crs.FP.Rd                                                                     |    2 
 survPen-2.0.4/survPen/man/crs.Rd                                                                        |    2 
 survPen-2.0.4/survPen/man/datCancer.Rd                                                                  |    2 
 survPen-2.0.4/survPen/man/design.matrix.Rd                                                              |    2 
 survPen-2.0.4/survPen/man/expected.table.Rd                                                             |    2 
 survPen-2.0.4/survPen/man/instr.Rd                                                                      |    2 
 survPen-2.0.4/survPen/man/inv.repam.Rd                                                                  |    2 
 survPen-2.0.4/survPen/man/list.wicss.Rd                                                                 |    2 
 survPen-2.0.4/survPen/man/model.cons.Rd                                                                 |    2 
 survPen-2.0.4/survPen/man/predSNS.Rd                                                                    |    2 
 survPen-2.0.4/survPen/man/predict.survPen.Rd                                                            |    2 
 survPen-2.0.4/survPen/man/print.summary.survPen.Rd                                                      |    2 
 survPen-2.0.4/survPen/man/pwcst.Rd                                                                      |    2 
 survPen-2.0.4/survPen/man/rd.Rd                                                                         |    2 
 survPen-2.0.4/survPen/man/repam.Rd                                                                      |    2 
 survPen-2.0.4/survPen/man/robust.var.Rd                                                                 |    6 
 survPen-2.0.4/survPen/man/smf.Rd                                                                        |    2 
 survPen-2.0.4/survPen/man/smooth.cons.Rd                                                                |    2 
 survPen-2.0.4/survPen/man/smooth.cons.integral.Rd                                                       |    2 
 survPen-2.0.4/survPen/man/smooth.spec.Rd                                                                |    2 
 survPen-2.0.4/survPen/man/splitmult.Rd                                                                  |    2 
 survPen-2.0.4/survPen/man/summary.survPen.Rd                                                            |    2 
 survPen-2.0.4/survPen/man/survPen.Rd                                                                    |    5 
 survPen-2.0.4/survPen/man/survPen.fit.Rd                                                                |    2 
 survPen-2.0.4/survPen/man/survPenObject.Rd                                                              |    5 
 survPen-2.0.4/survPen/man/tensor.in.Rd                                                                  |    2 
 survPen-2.0.4/survPen/man/tensor.prod.S.Rd                                                              |    2 
 survPen-2.0.4/survPen/man/tensor.prod.X.Rd                                                              |    2 
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Package sftime updated to version 0.3.2 with previous version 0.3.1 dated 2025-08-19

Title: Classes and Methods for Simple Feature Objects that Have a Time Column
Description: Classes and methods for spatial objects that have a registered time column, in particular for irregular spatiotemporal data. The time column can be of any type, but needs to be ordinal. Regularly laid out spatiotemporal data (vector or raster data cubes) are handled by package 'stars'.
Author: Henning Teickner [aut, cre, cph] , Edzer Pebesma [aut, cph] , Benedikt Graeler [aut, cph]
Maintainer: Henning Teickner <henning.teickner@uni-muenster.de>

Diff between sftime versions 0.3.1 dated 2025-08-19 and 0.3.2 dated 2026-05-09

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Package sdcTable updated to version 0.34.0 with previous version 0.33.0 dated 2025-06-26

Title: Methods for Statistical Disclosure Control in Tabular Data
Description: Methods for statistical disclosure control in tabular data such as primary and secondary cell suppression as described for example in Hundepol et al. (2012) <doi:10.1002/9781118348239> are covered in this package.
Author: Bernhard Meindl [aut, cre]
Maintainer: Bernhard Meindl <bernhard.meindl@gmail.com>

Diff between sdcTable versions 0.33.0 dated 2025-06-26 and 0.34.0 dated 2026-05-09

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 sdcTable-0.34.0/sdcTable/R/attack.R                                                                            |  245 ++--
 sdcTable-0.34.0/sdcTable/R/contributing_indices.R                                                              |  154 +-
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 sdcTable-0.34.0/sdcTable/R/makeProblem.R                                                                       |   27 
 sdcTable-0.34.0/sdcTable/R/primarySuppression.R                                                                |  151 --
 sdcTable-0.34.0/sdcTable/R/protectTable.R                                                                      |   12 
 sdcTable-0.34.0/sdcTable/R/setInfo.R                                                                           |    1 
 sdcTable-0.34.0/sdcTable/R/utils.R                                                                             |  113 +
 sdcTable-0.34.0/sdcTable/R/utils_simpleheuristic.R                                                             |   14 
 sdcTable-0.34.0/sdcTable/R/zzz.r                                                                               |    1 
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 sdcTable-0.34.0/sdcTable/inst/doc/sdcTable.rmd                                                                 |  588 +++++++---
 sdcTable-0.34.0/sdcTable/man/attack.Rd                                                                         |   35 
 sdcTable-0.34.0/sdcTable/man/cell_info.Rd                                                                      |    4 
 sdcTable-0.34.0/sdcTable/man/change_cellstatus.Rd                                                              |    6 
 sdcTable-0.34.0/sdcTable/man/contributing_indices.Rd                                                           |   41 
 sdcTable-0.34.0/sdcTable/man/createArgusInput.Rd                                                               |    4 
 sdcTable-0.34.0/sdcTable/man/createJJFormat.Rd                                                                 |    4 
 sdcTable-0.34.0/sdcTable/man/createRegSDCInput.Rd                                                              |    4 
 sdcTable-0.34.0/sdcTable/man/get_safeobj.Rd                                                                    |    4 
 sdcTable-0.34.0/sdcTable/man/makeProblem.Rd                                                                    |   37 
 sdcTable-0.34.0/sdcTable/man/primarySuppression.Rd                                                             |  134 +-
 sdcTable-0.34.0/sdcTable/man/protectTable.Rd                                                                   |   47 
 sdcTable-0.34.0/sdcTable/man/protect_linked_tables.Rd                                                          |    4 
 sdcTable-0.34.0/sdcTable/man/sdcProb2df.Rd                                                                     |    4 
 sdcTable-0.34.0/sdcTable/man/setInfo.Rd                                                                        |   30 
 sdcTable-0.34.0/sdcTable/man/writeJJFormat.Rd                                                                  |    2 
 sdcTable-0.34.0/sdcTable/tests/testthat/_snaps                                                                 |only
 sdcTable-0.34.0/sdcTable/tests/testthat/test-cell_info.R                                                       |    4 
 sdcTable-0.34.0/sdcTable/tests/testthat/test-contributing_indices.r                                            |    5 
 sdcTable-0.34.0/sdcTable/tests/testthat/test-jjformat.r                                                        |   10 
 sdcTable-0.34.0/sdcTable/tests/testthat/test-linked-tables.r                                                   |    2 
 sdcTable-0.34.0/sdcTable/tests/testthat/test-makeProblem.r                                                     |    4 
 sdcTable-0.34.0/sdcTable/tests/testthat/test-primarySuppression.r                                              |   11 
 sdcTable-0.34.0/sdcTable/tests/testthat/test-protectTable.r                                                    |   14 
 sdcTable-0.34.0/sdcTable/tests/testthat/test-samplingweights.r                                                 |    8 
 sdcTable-0.34.0/sdcTable/tests/testthat/test-simpleheuristic.R                                                 |    6 
 sdcTable-0.34.0/sdcTable/vignettes/sdcTable.rmd                                                                |  588 +++++++---
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Package rTensor updated to version 1.5.0 with previous version 1.4.9 dated 2025-08-25

Title: Tools for Tensor Analysis and Decomposition
Description: A set of tools for creation, manipulation, and modeling of tensors with arbitrary number of modes. A tensor in the context of data analysis is a multidimensional array. rTensor does this by providing a S4 class 'Tensor' that wraps around the base 'array' class. rTensor provides common tensor operations as methods, including matrix unfolding, summing/averaging across modes, calculating the Frobenius norm, and taking the inner product between two tensors. Familiar array operations are overloaded, such as index subsetting via '[' and element-wise operations. rTensor also implements various tensor decomposition, including CP, GLRAM, MPCA, PVD, Tucker, INDSCAL, RESCAL, DEDICOM, PARAFAC2, and 2DLDA. For tensors with 3 modes, rTensor also implements transpose, t-product, and t-SVD, as defined in Kilmer et al. (2013). Some auxiliary functions include the Khatri-Rao product, Kronecker product, and the Hadamard product for a list of matrices.
Author: James Li [aut], Jacob Bien [aut], Martin Wells [aut], Koki Tsuyuzaki [cre, ctb]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

Diff between rTensor versions 1.4.9 dated 2025-08-25 and 1.5.0 dated 2026-05-09

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Package rtemis.core updated to version 0.1.0 with previous version 0.0.3 dated 2026-04-21

Title: Core Utilities for the 'rtemis' Ecosystem
Description: Utilities used across packages of the 'rtemis' ecosystem. Includes the msg() messaging system and the fmt() formatting system. Provides a library of 'S7' properties, test_* functions that return logical values, check_* functions that throw informative errors, and clean_* functions that return validated and coerced values. This code began as part of the 'rtemis' package (<doi:10.32614/CRAN.package.rtemis>).
Author: E.D. Gennatas [aut, cre, cph]
Maintainer: E.D. Gennatas <gennatas@gmail.com>

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Package rmapshaper updated to version 0.6.1 with previous version 0.6.0 dated 2025-12-04

Title: Client for 'mapshaper' for 'Geospatial' Operations
Description: Edit and simplify 'geojson', 'Spatial', and 'sf' objects. This is wrapper around the 'mapshaper' 'JavaScript' library by Matthew Bloch <https://github.com/mbloch/mapshaper/> to perform topologically-aware polygon simplification, as well as other operations such as clipping, erasing, dissolving, and converting 'multi-part' to 'single-part' geometries.
Author: Andy Teucher [aut, cre] , Kenton Russell [aut] , Matthew Bloch [cph]
Maintainer: Andy Teucher <andy.teucher@gmail.com>

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Package rlas updated to version 1.9.0 with previous version 1.8.6 dated 2026-04-03

Title: Read and Write 'las' and 'laz' Binary File Formats Used for Remote Sensing Data
Description: Read and write 'las' and 'laz' binary file formats. The LAS file format is a public file format for the interchange of 3-dimensional point cloud data between data users. The LAS specifications are approved by the American Society for Photogrammetry and Remote Sensing <https://community.asprs.org/leadership-restricted/leadership-content/public-documents/standards>. The LAZ file format is an open and lossless compression scheme for binary LAS format versions 1.0 to 1.4 <https://laszip.org/>.
Author: Jean-Romain Roussel [aut, cre, cph], Florian De Boissieu [aut, ctb] , Martin Isenburg [cph] , David Auty [ctb] , Pierrick Marie [ctb] , Tiago de Conto [ctb]
Maintainer: Jean-Romain Roussel <info@r-lidar.com>

Diff between rlas versions 1.8.6 dated 2026-04-03 and 1.9.0 dated 2026-05-09

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Package remstats updated to version 4.0.0 with previous version 3.2.5 dated 2026-03-12

Title: Computes Statistics for Relational Event History Data
Description: Computes a variety of statistics for relational event models (Meijerink et al., 2023, <doi:10.3758/s13428-022-01821-8>). Relational event models enable researchers to investigate exogenous and endogenous factors, and interactions, influencing the evolution of a time-ordered sequence of events. These models are categorized into tie-oriented models (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>), where the probability of a dyad interacting next is modeled in a single step, and actor-oriented models (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>), which first model the probability of a sender initiating an interaction and subsequently the probability of the sender's choice of receiver. The package is designed to compute a variety of statistics that summarize exogenous and endogenous influences on the event stream for both types of models.
Author: Giuseppe Arena [aut] , Marlyne Meijerink-Bosman [aut], Joris Mulder [aut, cre], Diana Karimova [ctb], Rumana Lakdawala [ctb], Mahdi Shafiee Kamalabad [ctb], Fabio Generoso Vieira [ctb], Roger Leenders [ctb]
Maintainer: Joris Mulder <j.mulder3@tilburguniversity.edu>

Diff between remstats versions 3.2.5 dated 2026-03-12 and 4.0.0 dated 2026-05-09

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Package RcppSpdlog updated to version 0.0.29 with previous version 0.0.28 dated 2026-03-20

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 0.0.28 dated 2026-03-20 and 0.0.29 dated 2026-05-09

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Package R.devices updated to version 2.17.4 with previous version 2.17.3 dated 2025-12-18

Title: Unified Handling of Graphics Devices
Description: Functions for creating plots and image files in a unified way regardless of output format (EPS, PDF, PNG, SVG, TIFF, WMF, etc.). Default device options as well as scales and aspect ratios are controlled in a uniform way across all device types. Switching output format requires minimal changes in code. This package is ideal for large-scale batch processing, because it will never leave open graphics devices or incomplete image files behind, even on errors or user interrupts.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between R.devices versions 2.17.3 dated 2025-12-18 and 2.17.4 dated 2026-05-09

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Package QCA updated to version 3.25 with previous version 3.24 dated 2026-03-28

Title: Qualitative Comparative Analysis
Description: An extensive set of functions to perform Qualitative Comparative Analysis: crisp sets ('csQCA'), temporal ('tQCA'), multi-value ('mvQCA') and fuzzy sets ('fsQCA'). 'QCA' is a methodology that bridges the qualitative and quantitative divide in social science research. It uses a Boolean minimization algorithm, resulting in a minimal causal configuration associated with a given phenomenon.
Author: Adrian Dusa [aut, cre, cph] , Ciprian Paduraru [ctb] , Alrik Thiem [aut]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

Diff between QCA versions 3.24 dated 2026-03-28 and 3.25 dated 2026-05-09

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More information about QCA at CRAN
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Package plotdap updated to version 1.2.0 with previous version 1.1.1 dated 2026-01-10

Title: Easily Visualize Data from 'ERDDAP™' Servers via the 'rerddap' Package
Description: Easily visualize and animate 'tabledap' and 'griddap' objects obtained via the 'rerddap' package in a simple one-line command, using either base graphics or 'ggplot2' graphics. 'plotdap' handles extracting and reshaping the data, map projections and continental outlines. Optionally the data can be animated through time using the 'gganmiate' package.
Author: Carson Sievert [aut], Roy Mendelssohn [aut, ctb, cre]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>

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Package parameters updated to version 0.29.0 with previous version 0.28.3 dated 2025-11-25

Title: Processing of Model Parameters
Description: Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see list of supported models using the function 'insight::supported_models()'), this package implements features like bootstrapping or simulating of parameters and models, feature reduction (feature extraction and variable selection) as well as functions to describe data and variable characteristics (e.g. skewness, kurtosis, smoothness or distribution).
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Soeren Hoejsgaard [aut], Brenton M. Wiernik [aut] , Zen J. Lau [ctb], Vincent Arel-Bundock [ctb] , Jeffrey Girard [ctb] , Christina Maimone [re [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

Diff between parameters versions 0.28.3 dated 2025-11-25 and 0.29.0 dated 2026-05-09

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More information about parameters at CRAN
Permanent link

Package optimizeR updated to version 1.3.0 with previous version 1.2.1 dated 2025-06-26

Title: Unified Framework for Numerical Optimizers
Description: Provides a unified object-oriented framework for numerical optimizers in R. Supports minimization and maximization with any optimizer, optimization over more than one function argument, computation time measurement, and time limits for long optimization tasks.
Author: Lennart Oelschlaeger [aut, cre] , Marius Oetting [ctb]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

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Package ks updated to version 1.15.2 with previous version 1.15.1 dated 2025-05-04

Title: Kernel Smoothing
Description: Kernel smoothers for univariate and multivariate data, with comprehensive visualisation and bandwidth selection capabilities, including for densities, density derivatives, cumulative distributions, clustering, classification, density ridges, significant modal regions, and two-sample hypothesis tests. Chacon & Duong (2018) <doi:10.1201/9780429485572>.
Author: Tarn Duong [aut, cre] , Matt Wand [ctb] , Jose Chacon [ctb], Artur Gramacki [ctb]
Maintainer: Tarn Duong <tarn.duong@gmail.com>

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Package antedep updated to version 0.2.0 with previous version 0.1.0 dated 2026-04-24

Title: Antedependence Models for Longitudinal Data
Description: Fitting, simulation, and inference for antedependence models for longitudinal data, as described in Zimmerman and Nunez-Anton (2009, ISBN:9781420011074). Supports integer-valued antedependence (INAD) models for count data with thinning operators (binomial, Poisson, negative binomial) and flexible innovation distributions (Poisson, Bell, negative binomial), categorical antedependence models for discrete-state longitudinal outcomes, and Gaussian antedependence (AD) models for continuous data. Implements maximum likelihood estimation via time-separable optimization and block coordinate descent, with confidence intervals based on Louis' identity and profile likelihood.
Author: Chenyang Li [aut, cre], Dale Zimmerman [aut, ctb]
Maintainer: Chenyang Li <chenyang-li@uiowa.edu>

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Package projectLSA updated to version 0.0.9 with previous version 0.0.8 dated 2026-02-07

Title: Shiny Application for Latent Structure Analysis with a Graphical User Interface
Description: Provides an interactive Shiny-based toolkit for conducting latent structure analyses, including Latent Profile Analysis (LPA), Latent Class Analysis (LCA), Latent Trait Analysis (LTA/IRT), Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). The implementation is grounded in established methodological frameworks: LPA is supported through 'tidyLPA' (Rosenberg et al., 2018) <doi:10.21105/joss.00978>, LCA through 'poLCA' (Linzer & Lewis, 2011) <doi:10.32614/CRAN.package.poLCA> & 'glca' (Kim & Kim, 2024) <doi:10.32614/CRAN.package.glca>, LTA/IRT via 'mirt' (Chalmers, 2012) <doi:10.18637/jss.v048.i06>, and EFA via 'psych' (Revelle, 2025). SEM and CFA functionalities build upon the 'lavaan' framework (Rosseel, 2012) <doi:10.18637/jss.v048.i02>. Users can upload datasets or use built-in examples, fit models, compare fit indices, visualize results, and export outputs without programming.
Author: Hasan Djidu [aut, cre] , Heri Retnawati [ctb] , Samsul Hadi [ctb] , Haryanto [ctb]
Maintainer: Hasan Djidu <hasandjidu@gmail.com>

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Package S7schema updated to version 0.1.1 with previous version 0.1.0 dated 2026-03-13

Title: 'S7' Framework for Schema-Validated YAML Configuration
Description: Provides a generic framework for working with YAML (YAML Ain't Markup Language) configuration files. Uses 'ajv' (Another JSON Schema Validator) via 'V8' to validate configurations against JSON Schema definitions. Configuration objects inherit from 'S7' classes and base lists, supporting downstream extension through custom classes and methods.
Author: Aksel Thomsen [aut, cre], Matthew Phelps [aut], Novo Nordisk A/S [cph], Evgeny Poberezkin [cph] , Python Software Foundation [cph] ), Vladimir Zapparov [cph] , Vincent Le Goff [cph] , Vsevolod Strukchinsky [cph]
Maintainer: Aksel Thomsen <oath@novonordisk.com>

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Package BAMBI updated to version 2.3.7 with previous version 2.3.6 dated 2024-10-25

Title: Bivariate Angular Mixture Models
Description: Fit (using Bayesian methods) and simulate mixtures of univariate and bivariate angular distributions. Chakraborty and Wong (2021) <doi:10.18637/jss.v099.i11>.
Author: Saptarshi Chakraborty [aut, cre], Samuel W.K. Wong [aut], Florence Bockting [ctb]
Maintainer: Saptarshi Chakraborty <chakra.saptarshi@gmail.com>

Diff between BAMBI versions 2.3.6 dated 2024-10-25 and 2.3.7 dated 2026-05-09

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Package geommc updated to version 1.3.2 with previous version 1.3.1 dated 2026-02-27

Title: Geometric Markov Chain Sampling
Description: Simulates from discrete and continuous target distributions using geometric Metropolis-Hastings (MH) algorithms. Users specify the target distribution by an R function that evaluates the log un-normalized pdf or pmf. The package also contains a function implementing a specific geometric MH algorithm for performing high-dimensional Bayesian variable selection.
Author: Vivekananda Roy [aut, cre]
Maintainer: Vivekananda Roy <vroy@iastate.edu>

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Fri, 08 May 2026

Package watcher updated to version 0.1.6 with previous version 0.1.5 dated 2025-12-01

Title: Watch the File System for Changes
Description: R binding for 'libfswatch', a file system monitoring library. Watch files, or directories recursively, for changes in the background. Log activity, or call an R function, upon every change event.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Enrico M. Crisostomo [cph] , Alan Dipert [cph]
Maintainer: Charlie Gao <charlie.gao@posit.co>

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

Title: Shared Memory for R Objects
Description: Share R objects across processes on the same machine via a single copy in 'POSIX' shared memory (Linux, macOS) or a 'Win32' file mapping (Windows). Every process reads from the same physical pages through the R Alternative Representation ('ALTREP') framework, giving lazy, zero-copy access. Shared objects serialize compactly as their shared memory name rather than their full contents.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Charlie Gao <charlie.gao@posit.co>

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Package DyadRatios updated to version 2.0 with previous version 1.4 dated 2026-04-08

Title: Dyad Ratios Algorithm for Latent Variable Estimation
Description: Implements the Dyad Ratios algorithm for estimating latent variables from time-series survey data. The algorithm estimates a latent mood dimension (or two dimensions) from a set of issue opinion series. Supports annual, quarterly, monthly, and daily aggregation intervals, optional exponential smoothing, and up to two latent dimensions. Input data can be provided as a data frame or read from delimited text files. Based on Stimson's 'MCalc' C++ program. See Stimson (2018) <doi:10.1177/0759106318761614> for more details.
Author: James Stimson [aut] , Dave Armstrong [cre, aut]
Maintainer: Dave Armstrong <davearmstrong.ps@gmail.com>

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Package subincomeR updated to version 0.5.0 with previous version 0.4.0 dated 2025-09-11

Title: Access to Global Sub-National Income Data
Description: Provides access to granular sub-national income data from the MCC-PIK Database Of Sub-national Economic Output (DOSE). The package downloads and processes the data from its open repository on 'Zenodo' (<https://zenodo.org/records/20035157>). Functions are provided to fetch data at multiple geographic levels, match coordinates to administrative regions, and access associated geometries.
Author: Pablo Garcia Guzman [aut, cre, cph]
Maintainer: Pablo Garcia Guzman <garciagp@ebrd.com>

Diff between subincomeR versions 0.4.0 dated 2025-09-11 and 0.5.0 dated 2026-05-08

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Package rapidcodeR updated to version 0.1.1 with previous version 0.1.0 dated 2026-03-10

Title: Optimized Data Analysis System for AI-Based Text Processing
Description: Extracts machine-readable variables from natural language text using AI APIs. Optimized for speed and cost efficiency through parallel processing and direct CSV-formatted responses from language models. Supports multiple AI providers with robust error handling and automatic retry mechanisms for failed extractions.
Author: Gabriel Loenn [aut, cre], Sebastian Schutte [ctb]
Maintainer: Gabriel Loenn <g.e.lonn@stv.uio.no>

Diff between rapidcodeR versions 0.1.0 dated 2026-03-10 and 0.1.1 dated 2026-05-08

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Package fastbioclim updated to version 0.4.2 with previous version 0.4.1 dated 2026-03-10

Title: Scalable and Flexible Derivation of Custom-Time Bioclimatic and Environmental Summary Variables
Description: Provides an efficient tool for creating custom-time bioclimatic and derived environmental summary variables from user-supplied raster data for user-defined timeframes. The package overcomes computational bottlenecks by automatically switching between an in-memory framework using the 'terra' package to maximize speed for smaller datasets, and an on-disk tiling framework for rasters that exceed available RAM, leveraging 'exactextractr' and 'Rfast' to process data in chunks. The core functions, derive_bioclim() and derive_statistics(), offer a unified interface with flexibility for custom time periods beyond standard quarters and the use of fixed temporal indices, facilitating the creation of temporally-matched environmental variables for ecological and biogeographical modeling. Visit the package website <https://gepinillab.github.io/fastbioclim/> to find tutorials in English and Spanish.
Author: Gonzalo E. Pinilla-Buitrago [aut, cre] , Luis Osorio-Olvera [aut]
Maintainer: Gonzalo E. Pinilla-Buitrago <gepinillab@gmail.com>

Diff between fastbioclim versions 0.4.1 dated 2026-03-10 and 0.4.2 dated 2026-05-08

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Package resultcheck updated to version 0.2.1 with previous version 0.2.0 dated 2026-05-03

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

Diff between resultcheck versions 0.2.0 dated 2026-05-03 and 0.2.1 dated 2026-05-08

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Package pharmaverseadamjnj updated to version 0.0.5 with previous version 0.0.4 dated 2026-05-07

Title: J&J Innovative Medicine ADaM Test Data
Description: A set of Analysis Data Model (ADaM) datasets constructed by modifying the ADaM datasets in the 'pharmaverseadam' package to meet J&J Innovative Medicine's standard data structure for Clinical and Statistical Programming.
Author: David Munoz Tord [aut, cre], Nicholas Masel [aut], Joe Kovach [aut], Mahesh Divakaran [ctb], J&J Innovative Medicine [cph, fnd]
Maintainer: David Munoz Tord <david.munoztord@mailbox.org>

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Package harbinger updated to version 2.0.707 with previous version 1.2.767 dated 2026-02-10

Title: A Unified Time Series Event Detection Framework
Description: By analyzing time series, it is possible to observe significant changes in the behavior of observations that frequently characterize events. Events present themselves as anomalies, change points, or motifs. In the literature, there are several methods for detecting events. However, searching for a suitable time series method is a complex task, especially considering that the nature of events is often unknown. This work presents Harbinger, a framework for integrating and analyzing event detection methods. Harbinger contains several state-of-the-art methods described in Salles et al. (2020) <doi:10.5753/sbbd.2020.13626>.
Author: Eduardo Ogasawara [aut, ths, cre] , Antonio Castro [aut], Antonio Mello [aut], Diego Carvalho [ctb], Eduardo Bezerra [ctb], Ellen Paixao [aut], Fernando Fraga [aut], Heraldo Borges [aut], Igor Andrade [aut], Isabele Rocha [aut], Janio Lima [aut], Jan [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

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Package funHDDC readmission to version 2.3.1.1 with previous version 2.3.1 dated 2021-03-17

Title: Univariate and Multivariate Model-Based Clustering in Group-Specific Functional Subspaces
Description: The funHDDC algorithm allows to cluster functional univariate (Bouveyron and Jacques, 2011, <doi:10.1007/s11634-011-0095-6>) or multivariate data (Schmutz et al., 2018) by modeling each group within a specific functional subspace.
Author: A Schmutz [aut], J. Jacques & C. Bouveyron [aut], Julien Jacques [cre]
Maintainer: Julien Jacques <julien.jacques@univ-lyon2.fr>

This is a re-admission after prior archival of version 2.3.1 dated 2021-03-17

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Package fastei updated to version 0.0.16 with previous version 0.0.0.12 dated 2026-01-09

Title: Methods for ''A Fast Alternative for the R x C Ecological Inference Case''
Description: Estimates the probability matrix for the R×C Ecological Inference problem using the Expectation-Maximization Algorithm with four approximation methods for the E-Step, and an exact method as well. It also provides a bootstrap function to estimate the standard deviation of the estimated probabilities. In addition, it has functions that aggregate rows optimally to have more reliable estimates in cases of having few data points. For comparing the probability estimates of two groups, a Wald test routine is implemented. The library has data from the first round of the Chilean Presidential Election 2021 and can also generate synthetic election data. Methods described in Thraves, Charles; Ubilla, Pablo; Hermosilla, Daniel (2024) ''A Fast Ecological Inference Algorithm for the R×C case'' <doi:10.2139/ssrn.4832834>.
Author: Charles Thraves [aut] , Pablo Ubilla [aut] , Daniel Hermosilla [aut, cre]
Maintainer: Daniel Hermosilla <daniel.hermosilla.r@ug.uchile.cl>

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Package coalitions readmission to version 0.6.27 with previous version 0.6.24 dated 2022-08-17

Title: Bayesian "Now-Cast" Estimation of Event Probabilities in Multi-Party Democracies
Description: An implementation of a Bayesian framework for the opinion poll based estimation of event probabilities in multi-party electoral systems (Bender and Bauer (2018) <doi:10.21105/joss.00606>).
Author: Andreas Bender [aut, cre] , Alexander Bauer [aut] , Rebekka Schade [ctb]
Maintainer: Andreas Bender <bender.at.R@gmail.com>

This is a re-admission after prior archival of version 0.6.24 dated 2022-08-17

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Package BiplotML readmission to version 1.1.1 with previous version 1.1.0 dated 2022-04-22

Title: Logistic Biplot Estimation Using Machine Learning Algorithms
Description: Implements methods for fitting logistic biplot models to multivariate binary data. The logistic biplot represents individuals as points and binary variables as directed vectors in a low-dimensional subspace; the orthogonal projection of each individual onto a variable vector approximates the expected probability that the corresponding characteristic is present. Available fitting methods include conjugate gradient algorithms, a coordinate descent Majorization-Minimization (MM) algorithm, and a block coordinate descent algorithm based on data projection that supports matrices with missing values and allows new individuals to be projected as supplementary rows without refitting the model. A cross-validation procedure is provided to select the number of latent dimensions k. References: Babativa-Marquez and Vicente-Villardon (2021) <doi:10.3390/math9162015>; Vicente-Villardon and Galindo (2006, ISBN:9780470973196).
Author: Jose Giovany Babativa-Marquez [cre, aut]
Maintainer: Jose Giovany Babativa-Marquez <jgbabativam@unal.edu.co>

This is a re-admission after prior archival of version 1.1.0 dated 2022-04-22

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Package meteoland updated to version 2.2.7 with previous version 2.2.6 dated 2026-02-18

Title: Landscape Meteorology Tools
Description: Functions to estimate weather variables at any position of a landscape [De Caceres et al. (2018) <doi:10.1016/j.envsoft.2018.08.003>].
Author: Miquel De Caceres [aut, cre] , Victor Granda [aut] , Nicolas Martin [aut] , Antoine Cabon [aut]
Maintainer: Miquel De Caceres <miquelcaceres@gmail.com>

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Package coda.base updated to version 1.0.6 with previous version 1.0.5 dated 2026-03-04

Title: A Basic Set of Functions for Compositional Data Analysis
Description: A minimum set of functions to perform compositional data analysis using the log-ratio approach introduced by John Aitchison (1982). Main functions have been implemented in c++ for better performance.
Author: Marc Comas-Cufi [aut, cre]
Maintainer: Marc Comas-Cufi <mcomas@imae.udg.edu>

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Package cicalc updated to version 0.2.1 with previous version 0.2.0 dated 2026-01-07

Title: Calculate Confidence Intervals
Description: This calculates a variety of different CIs for proportions and difference of proportions that are commonly used in the pharmaceutical industry including Wald, Wilson, Clopper-Pearson, Agresti-Coull and Jeffreys for proportions. And Miettinen-Nurminen (1985) <doi:10.1002/sim.4780040211>, Wald, Haldane, and Mee <https://www.lexjansen.com/wuss/2016/127_Final_Paper_PDF.pdf> for difference in proportions.
Author: Christina Fillmore [aut, cre] , GlaxoSmithKline Research & Development Limited [cph, fnd], Mike Sprys [aut], Dan Lythgoe [aut]
Maintainer: Christina Fillmore <christina.e.fillmore@gsk.com>

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Package scCustomize updated to version 3.3.0 with previous version 3.2.4 dated 2025-12-11

Title: Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing
Description: Collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using 'R'. 'scCustomize' aims to provide 1) Customized visualizations for aid in ease of use and to create more aesthetic and functional visuals. 2) Improve speed/reproducibility of common tasks/pieces of code in scRNA-seq analysis with a single or group of functions. For citation please use: Marsh SE (2021) "Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing" <doi:10.5281/zenodo.5706430> RRID:SCR_024675.
Author: Samuel Marsh [aut, cre] , Ming Tang [ctb], Velina Kozareva [ctb], Lucas Graybuck [ctb], Zoe Clarke [ctb]
Maintainer: Samuel Marsh <sccustomize@gmail.com>

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Package lgspline updated to version 1.1.0 with previous version 1.0.2 dated 2026-04-13

Title: Lagrangian Multiplier Smoothing Splines for Smooth Function Estimation
Description: Implements Lagrangian multiplier smoothing splines for flexible nonparametric regression and function estimation. Provides tools for fitting, prediction, and inference using a constrained optimization approach to enforce smoothness. Supports generalized linear models, Weibull accelerated failure time (AFT) models, Cox proportional hazards models, quadratic programming constraints, and customizable working-correlation structures, with options for parallel fitting. The core spline construction builds on Ezhov et al. (2018) <doi:10.1515/jag-2017-0029>. Quadratic-programming and SQP details follow Goldfarb & Idnani (1983) <doi:10.1007/BF02591962> and Nocedal & Wright (2006) <doi:10.1007/978-0-387-40065-5>. For smoothing spline and penalized spline background, see Wahba (1990) <doi:10.1137/1.9781611970128> and Wood (2017) <doi:10.1201/9781315370279>. For variance-component and correlation-parameter estimation, see Searle et al. (2006) <ISBN:978-04700 [...truncated...]
Author: Matthew Davis [aut, cre]
Maintainer: Matthew Davis <matthewlouisdavis@gmail.com>

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Package kollaR updated to version 1.1.4 with previous version 1.1.3 dated 2026-02-25

Title: Event Classification, Visualization and Analysis of Eye Tracking Data
Description: Functions for analysing eye tracking data, including event detection, visualizations and area of interest (AOI) based analyses. The package includes implementations of the IV-T, I-DT, adaptive velocity threshold, and Identification by two means clustering (I2MC) algorithms. See separate documentation for each function. The principles underlying I-VT and I-DT algorithms are described in Salvucci & Goldberg (2000) <doi:10.1145/355017.355028>. Two-means clustering is described in Hessels et al. (2017), <doi: 10.3758/s13428-016-0822-1>. The adaptive velocity threshold algorithm is described in Nyström & Holmqvist (2010),<doi:10.3758/BRM.42.1.188>. A documentation of the 'kollaR' can be found in Kleberg et al (2026) <doi:10.3758/s13428-025-02903-z>. Cite this paper when using 'kollaR' See a demonstration in the URL.
Author: Johan Lundin Kleberg [aut, cre]
Maintainer: Johan Lundin Kleberg <johan.lundin.kleberg@su.se>

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Package iTensor updated to version 1.0.4 with previous version 1.0.2 dated 2023-04-28

Title: ICA-Based Matrix/Tensor Decomposition
Description: Some functions for performing ICA, MICA, Group ICA, and Multilinear ICA are implemented. ICA, MICA/Group ICA, and Multilinear ICA extract statistically independent components from single matrix, multiple matrices, and single tensor, respectively. For the details of these methods, see the reference section of GitHub README.md <https://github.com/rikenbit/iTensor>.
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

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Package tidyaudit updated to version 0.2.1 with previous version 0.2.0 dated 2026-03-24

Title: Pipeline Audit Trails and Data Diagnostics for 'tidyverse' Workflows
Description: Provides pipeline audit trails and data diagnostics for 'tidyverse' workflows. The audit trail system captures lightweight metadata snapshots at each step of a pipeline, building a structured record without storing the data itself. Operation-aware taps enrich snapshots with join match rates and filter drop statistics. Trails can be serialized to 'JSON' or 'RDS' and exported as self-contained 'HTML' visualizations. Also includes diagnostic functions for interactive data analysis including frequency tables, string quality auditing, and data comparison.
Author: Fernando Cordeiro [aut, cre, cph]
Maintainer: Fernando Cordeiro <fernandolpcordeiro@gmail.com>

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Package nnTensor updated to version 1.4.0 with previous version 1.3.0 dated 2024-05-13

Title: Non-Negative Tensor Decomposition
Description: Some functions for performing non-negative matrix factorization, non-negative CANDECOMP/PARAFAC (CP) decomposition, non-negative Tucker decomposition, and generating toy model data. See Andrzej Cichock et al (2009) and the reference section of GitHub README.md <https://github.com/rikenbit/nnTensor>, for details of the methods.
Author: Koki Tsuyuzaki [aut, cre], Itoshi Nikaido [aut]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

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Package EFAtools updated to version 0.7.1 with previous version 0.7.0 dated 2026-04-30

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

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Package spant updated to version 4.0.0 with previous version 3.9.0 dated 2026-02-23

Title: MR Spectroscopy Analysis Tools
Description: Tools for reading, visualising and processing Magnetic Resonance Spectroscopy data. The package includes methods for spectral fitting: Wilson (2021) <DOI:10.1002/mrm.28385>, Wilson (2025) <DOI:10.1002/mrm.30462> and spectral alignment: Wilson (2018) <DOI:10.1002/mrm.27605>.
Author: Martin Wilson [cre, aut] , Yong Wang [ctb], John Muschelli [ctb]
Maintainer: Martin Wilson <martin.wilson111@gmail.com>

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Package SelfControlledCaseSeries updated to version 6.1.5 with previous version 6.1.4 dated 2026-03-26

Title: Self-Controlled Case Series
Description: Execute the self-controlled case series (SCCS) design using observational data in the OMOP Common Data Model. Extracts all necessary data from the database and transforms it to the format required for SCCS. Age and season can be modeled using splines assuming constant hazard within calendar months. Event-dependent censoring of the observation period can be corrected for. Many exposures can be included at once (MSCCS), with regularization on all coefficients except for the exposure of interest. Includes diagnostics for all major assumptions of the SCCS.
Author: Martijn Schuemie [aut, cre], Patrick Ryan [aut], Trevor Shaddox [aut], Marc Suchard [aut]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

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Package okxr updated to version 0.4.5 with previous version 0.2.4 dated 2026-04-28

Title: R Interface to the 'OKX' REST API
Description: Provides lightweight R wrappers for the 'OKX' REST API, covering endpoints for market data, trading, account management, asset balances, and copy trading. The upstream API reference is available at <https://www.okx.com/docs-v5/en/>.
Author: Oliver Zhou [aut, cre], Lily Li [aut]
Maintainer: Oliver Zhou <oliver.yxzhou@gmail.com>

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Package mirai updated to version 2.7.0 with previous version 2.6.1 dated 2026-03-02

Title: Minimalist Async Evaluation Framework for R
Description: Evaluates R expressions asynchronously and in parallel, locally or distributed across networks. An official parallel cluster type for R. Built on 'nanonext' and 'NNG', its non-polling, event-driven architecture scales from a laptop to thousands of processes across high-performance computing clusters and cloud platforms. Features FIFO scheduling with task cancellation and bounded queues, promises for reactive programming, 'OpenTelemetry' distributed tracing, and custom serialization for cross-language data types.
Author: Charlie Gao [aut, cre] , Joe Cheng [ctb], Posit Software, PBC [cph, fnd] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@posit.co>

Diff between mirai versions 2.6.1 dated 2026-03-02 and 2.7.0 dated 2026-05-08

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Package ggplate updated to version 0.3.0 with previous version 0.2.0 dated 2026-01-09

Title: Create Layout Plots of Biological Culture Plates and Microplates
Description: Enables users to create simple plots of biological culture plates as well as microplates. Both continuous and discrete values can be plotted onto the plate layout.
Author: Jan-Philipp Quast [aut, cre]
Maintainer: Jan-Philipp Quast <jpquast.software@gmail.com>

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Package CohortMethod updated to version 6.0.2 with previous version 6.0.1 dated 2026-03-21

Title: Comparative Cohort Method with Large Scale Propensity and Outcome Models
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...]
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut], Patrick Ryan [aut]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

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Package episomer updated to version 3.0.35 with previous version 3.0.34 dated 2026-04-20

Title: Early Detection of Public Health Threats from Social Media Data
Description: It allows you to automatically monitor trends of social media messages by time, place and topic aiming at detecting public health threats early through the detection of signals (i.e., an unusual increase in the number of messages per time, topic and location). It was designed to focus on infectious diseases, and it can be extended to all hazards or other fields of study by modifying the topics and keywords. More information on the original package 'epitweetr' is available in the peer-review publication Espinosa et al. (2022) <doi:10.2807/1560-7917.ES.2022.27.39.2200177>.
Author: Laura Espinosa [aut, fnd, cre] , Francisco Orchard [aut, ctr] , Gianfranco Spiteri [ctb, fnd], Ariana Wijermans [ctb] , Thomas Mollet [ctb] , Adrian Prodan [ctb], Martin Norling [ctb], Enrique Delgado [ctb], Thomas Czernichow [ctb], Maria Prieto Gonz [...truncated...]
Maintainer: Laura Espinosa <laura.espinosa@ecdc.europa.eu>

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Package rbiom updated to version 3.1.0 with previous version 2.2.1 dated 2025-06-27

Title: Integrated Analysis and Visualization of Microbiome Data
Description: A toolkit for working with Biological Observation Matrix ('BIOM') files. Read/write all 'BIOM' formats. Compute rarefaction, alpha diversity, and beta diversity (including 'UniFrac'). Summarize counts by taxonomic level. Subset based on metadata. Generate visualizations and statistical analyses.
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

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Package PGaovR updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-28

Title: Analysis of Experimental Data using ANOVA and Mean Comparison
Description: Provides tools for designing and analyzing agricultural experiments. It includes functions for generating randomized treatment layouts for standard experimental designs such as Completely Randomized Design (CRD), Randomized Block Design (RBD), Latin Square Design (LSD), Factorial Randomized Block Design (FRBD), split-plot design, and strip-plot design. The package implements one-factor and two-factor analysis of variance (ANOVA) and offers multiple comparison procedures, including Least Significant Difference (lsd), Tukey, and Duncan tests, to compare treatment means in single-factor and factorial experiments. The methods follow classical experimental design principles described in Gomez and Gomez (1984, Statistical Procedures for Agricultural Research, John Wiley & Sons, New York).
Author: Santosh Patil [aut, cre] , Yogesh Garde [aut]
Maintainer: Santosh Patil <patil.sgstat@gmail.com>

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Package geoAr updated to version 1.2.2 with previous version 1.0.0 dated 2024-03-03

Title: Argentina's Spatial Data Toolbox
Description: Collection of tools that facilitates data access and workflow for spatial analysis of Argentina. Includes historical information from censuses, administrative limits at different levels of aggregation, location of human settlements, among others. Since it is expected that the majority of users will be Spanish-speaking, the documentation of the package prioritizes this language, although an effort is made to also offer annotations in English.
Author: Juan Pablo Ruiz Nicolini [aut, cre, cph] , Patricio Del Boca [aut], Juan Gabriel Juara [aut]
Maintainer: Juan Pablo Ruiz Nicolini <juanpabloruiznicolini@gmail.com>

Diff between geoAr versions 1.0.0 dated 2024-03-03 and 1.2.2 dated 2026-05-08

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More information about geoAr at CRAN
Permanent link

Package distfreereg updated to version 1.2 with previous version 1.1 dated 2025-07-02

Title: Distribution-Free Goodness-of-Fit Testing for Regression
Description: Implements the distribution-free goodness-of-fit regression testing procedure, introduced by Estate Khmaladze (2021, <doi:10.1007/s10463-021-00786-3>) to test whether or not the mean structure of a parametric model belongs to a specified model family. The test is implemented for general mean functions with minimal distributional assumptions as well as common models (e.g., lm, glm) with the usual model assumptions.
Author: Jesse Miller [aut, cre]
Maintainer: Jesse Miller <smallepsilon@proton.me>

Diff between distfreereg versions 1.1 dated 2025-07-02 and 1.2 dated 2026-05-08

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More information about distfreereg at CRAN
Permanent link

Package vectra readmission to version 0.6.2 with previous version 0.5.1 dated 2026-04-21

Title: Columnar Query Engine for Larger-than-RAM Data
Description: A minimal columnar query engine with lazy execution on datasets larger than RAM. Provides 'dplyr'-like verbs (filter(), select(), mutate(), group_by(), summarise(), joins, window functions) and common aggregations (n(), sum(), mean(), min(), max(), sd(), first(), last()) backed by a pure C11 pull-based execution engine and a custom on-disk format ('.vtr'). Reads and writes 'GeoTIFF' (including tiled and 'BigTIFF' layouts) and a tiled raster format ('.vec') with overview pyramids and time cubes for larger-than-RAM raster data.
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

This is a re-admission after prior archival of version 0.5.1 dated 2026-04-21

Diff between vectra versions 0.5.1 dated 2026-04-21 and 0.6.2 dated 2026-05-08

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More information about vectra at CRAN
Permanent link

Package savvyGLM updated to version 0.1.4 with previous version 0.1.2 dated 2026-05-03

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

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Package RFmerge readmission to version 0.3-3 with previous version 0.1-10 dated 2020-05-22

Title: Merging of Satellite Datasets with Ground Observations using Random Forests
Description: S3 implementation of the Random Forest MErging Procedure (RF-MEP), which combines two or more satellite-based datasets (e.g., precipitation products, topography) with ground observations to produce a new dataset with improved spatio-temporal distribution of the target field. In particular, this package was developed to merge different Satellite-based Rainfall Estimates (SREs) with measurements from rain gauges, in order to obtain a new precipitation dataset where the time series in the rain gauges are used to correct different types of errors present in the SREs. However, this package might be used to merge other hydrological/environmental gridded datasets with point observations. For details, see Baez-Villanueva et al. (2020) <doi:10.1016/j.rse.2019.111606>. Bugs / comments / questions / collaboration of any kind are very welcomed.
Author: Mauricio Zambrano-Bigiarini [aut, cre, cph] , Oscar M. Baez-Villanueva [aut, cph] , Juan Giraldo-Osorio [ctb]
Maintainer: Mauricio Zambrano-Bigiarini <mzb.devel@gmail.com>

This is a re-admission after prior archival of version 0.1-10 dated 2020-05-22

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Package iheiddown updated to version 0.9.9 with previous version 0.9.7 dated 2022-11-09

Title: For Writing Geneva Graduate Institute Documents
Description: A set of tools for writing documents according to Geneva Graduate Institute conventions and regulations. The most common use is for writing and compiling theses or thesis chapters, as drafts or for examination with correct preamble formatting. However, the package also offers users to create HTML presentation slides with 'xaringan', complete problem sets, format posters, and, for course instructors, prepare a syllabus. The package includes additional functions for institutional color palettes, an institutional 'ggplot' theme, a function for counting manuscript words, and a bibliographical analysis toolkit.
Author: James Hollway [aut, cre, cph] , Bernhard Bieri [ctb] , Henrique Sposito [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

Diff between iheiddown versions 0.9.7 dated 2022-11-09 and 0.9.9 dated 2026-05-08

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Package espadon updated to version 1.11.5 with previous version 1.11.3 dated 2025-11-17

Title: Easy Study of Patient DICOM Data in Oncology
Description: Read, process, and export DICOM and DICOM-RT files (structures, dosimetry, imagery) for medical physics and clinical research, with patient-oriented 2D-3D visualization.
Author: Cathy Fontbonne [aut, cre] , Jean-Marc Fontbonne [aut] , Nathan Azemar [ctb]
Maintainer: Cathy Fontbonne <contact.espadon@lpccaen.in2p3.fr>

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Package CatPredi readmission to version 2.0 with previous version 1.4 dated 2025-10-30

Title: Optimal Categorisation of Continuous Variables in Prediction Models
Description: Allows the user to categorise a continuous predictor variable in a logistic or a Cox proportional hazards regression setting, by maximising the discriminative ability of the model. I Barrio, I Arostegui, MX Rodriguez-Alvarez, JM Quintana (2015) <doi:10.1177/0962280215601873>. I Barrio, MX Rodriguez-Alvarez, L Meira-Machado, C Esteban, I Arostegui (2017) <https://www.idescat.cat/sort/sort411/41.1.3.barrio-etal.pdf>.
Author: Irantzu Barrio [aut, cre], Maria Xose Rodriguez-Alvarez [aut], Inmaculada Arostegui [ctb], Diana Marcela Perez [ctb]
Maintainer: Irantzu Barrio <irantzu.barrio@ehu.eus>

This is a re-admission after prior archival of version 1.4 dated 2025-10-30

Diff between CatPredi versions 1.4 dated 2025-10-30 and 2.0 dated 2026-05-08

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Package BayesPIM readmission to version 1.0.1 with previous version 1.0.0 dated 2025-03-22

Title: Bayesian Prevalence-Incidence Mixture Model
Description: Models time-to-event data from interval-censored screening studies. It accounts for latent prevalence at baseline and incorporates misclassification due to imperfect test sensitivity. For usage details, see the package vignette "BayesPIM_intro". Further details can be found in Klausch, Lissenberg-Witte and Coupé (2026) <doi:10.1002/sim.70433>.
Author: Thomas Klausch [aut, cre]
Maintainer: Thomas Klausch <t.klausch@amsterdamumc.nl>

This is a re-admission after prior archival of version 1.0.0 dated 2025-03-22

Diff between BayesPIM versions 1.0.0 dated 2025-03-22 and 1.0.1 dated 2026-05-08

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Package automatedRecLin updated to version 1.1.0 with previous version 1.0.1 dated 2025-12-13

Title: Record Linkage Based on an Entropy-Maximizing Classifier
Description: The goal of 'automatedRecLin' is to perform record linkage (also known as entity resolution) in unsupervised or supervised settings. It compares pairs of records from two datasets using selected comparison functions to estimate the probability or density ratio between matched and non-matched records. Based on these estimates, it predicts a set of matches that maximizes entropy. For details see: Lee et al. (2022) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2022001/article/00007-eng.htm>, Vo et al. (2023) <https://ideas.repec.org/a/eee/csdana/v179y2023ics0167947322002365.html>, Sugiyama et al. (2008) <doi:10.1007/s10463-008-0197-x>.
Author: Adam Struzik [aut, cre] , Maciej Beresewicz [aut, ctb]
Maintainer: Adam Struzik <adastr5@st.amu.edu.pl>

Diff between automatedRecLin versions 1.0.1 dated 2025-12-13 and 1.1.0 dated 2026-05-08

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Package SCE updated to version 1.1.3 with previous version 1.1.2 dated 2025-10-04

Title: Stepwise Clustered Ensemble
Description: Implementation of Stepwise Clustered Ensemble (SCE) and Stepwise Cluster Analysis (SCA) for multivariate data analysis. The package provides comprehensive tools for feature selection, model training, prediction, and evaluation in hydrological and environmental modeling applications. Key functionalities include recursive feature elimination (RFE), Wilks feature importance analysis, model validation through out-of-bag (OOB) validation, and ensemble prediction capabilities. The package supports both single and multivariate response variables, making it suitable for complex environmental modeling scenarios. For more details see Li et al. (2021) <doi:10.5194/hess-25-4947-2021>.
Author: Kailong Li [aut, cre]
Maintainer: Kailong Li <lkl98509509@gmail.com>

Diff between SCE versions 1.1.2 dated 2025-10-04 and 1.1.3 dated 2026-05-08

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Package geessbin updated to version 1.0.2 with previous version 1.0.1 dated 2025-12-02

Title: Modified Generalized Estimating Equations for Binary Outcome
Description: Analyze small-sample clustered or longitudinal data with binary outcome using modified generalized estimating equations (GEE) with bias-adjusted covariance estimator. The package provides any combination of three GEE methods and 12 covariance estimators.
Author: Ryota Ishii [aut, cre], Tomohiro Ohigashi [ctb], Kazushi Maruo [ctb], Masahiko Gosho [ctb]
Maintainer: Ryota Ishii <r.ishii0808@gmail.com>

Diff between geessbin versions 1.0.1 dated 2025-12-02 and 1.0.2 dated 2026-05-08

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Package REndo updated to version 2.5.0 with previous version 2.4.11 dated 2026-03-23

Title: Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables
Description: Fits linear models with endogenous regressor using latent instrumental variable approaches. The methods included in the package are Lewbel's (1997) <doi:10.2307/2171884> higher moments approach as well as Lewbel's (2012) <doi:10.1080/07350015.2012.643126> heteroscedasticity approach, Park and Gupta's (2012) <doi:10.1287/mksc.1120.0718> joint estimation method that uses Gaussian copula and Kim and Frees's (2007) <doi:10.1007/s11336-007-9008-1> multilevel generalized method of moment approach that deals with endogeneity in a multilevel setting. These are statistical techniques to address the endogeneity problem where no external instrumental variables are needed. See the publication related to this package in the Journal of Statistical Software for more details: <doi:10.18637/jss.v107.i03>. Note that with version 2.0.0 sweeping changes were introduced which greatly improve functionality and usability but break backwards compatibility.
Author: Raluca Gui [cre, aut], Markus Meierer [aut], Rene Algesheimer [aut], Patrik Schilter [aut], Kimberly-Anne Lew Chuk Wai [aut]
Maintainer: Raluca Gui <raluca.gui@gmail.com>

Diff between REndo versions 2.4.11 dated 2026-03-23 and 2.5.0 dated 2026-05-08

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Package refundBayes updated to version 0.6.0 with previous version 0.5.1 dated 2026-04-07

Title: Bayesian Regression with Functional Data
Description: Bayesian regression with functional data, including regression with scalar, survival, or functional outcomes. The package allows regression with scalar and functional predictors. Methods are described in Jiang et al. (2025) "Tutorial on Bayesian Functional Regression Using Stan" <doi:10.1002/sim.70265>.
Author: Ziren Jiang [aut, cre], Erjia Cui [aut], Ciprian Crainiceanu [ctb]
Maintainer: Ziren Jiang <jian0746@umn.edu>

Diff between refundBayes versions 0.5.1 dated 2026-04-07 and 0.6.0 dated 2026-05-08

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Package MCPAN updated to version 1.1-22 with previous version 1.1-21 dated 2018-03-22

Title: Multiple Comparisons Using Normal Approximation
Description: Multiple contrast tests and simultaneous confidence intervals based on normal approximation. With implementations for binomial proportions in a 2xk setting (risk difference and odds ratio), poly-3-adjusted tumour rates, biodiversity indices (multinomial data) and expected values under lognormal assumption. Approximative power calculation for multiple contrast tests of binomial and Gaussian data.
Author: Frank Schaarschmidt [aut, cre], Daniel Gerhard [aut], Martin Sill [aut]
Maintainer: Frank Schaarschmidt <schaarschmidt@biostat.uni-hannover.de>

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Package icecdr updated to version 1.2.0 with previous version 1.1.0 dated 2026-03-24

Title: Download Sea Ice Concentration Data from the NSIDC Climate Data Record
Description: Programmatic access to NSIDC's sea ice concentration CDR <https://nsidc.org/data/g02202> via ERDAPP server and Sea Ice index <https://nsidc.org/data/g02135>. Supports caching results and optional fixes for some inconsistencies of the raw files.
Author: Elio Campitelli [cre, aut, cph]
Maintainer: Elio Campitelli <eliocampitelli@gmail.com>

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Package BayesMallowsSMC2 updated to version 0.3.0 with previous version 0.2.1 dated 2026-02-04

Title: Nested Sequential Monte Carlo for the Bayesian Mallows Model
Description: Provides nested sequential Monte Carlo algorithms for performing sequential inference in the Bayesian Mallows model, which is a widely used probability model for rank and preference data. The package implements the SMC2 (Sequential Monte Carlo Squared) algorithm for handling sequentially arriving rankings and pairwise preferences, including support for complete rankings, partial rankings, and pairwise comparisons. The methods are based on Sorensen (2025) <doi:10.1214/25-BA1564>.
Author: Oystein Sorensen [aut, cre]
Maintainer: Oystein Sorensen <oystein.sorensen.1985@gmail.com>

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Package geospatialsuite updated to version 0.2.0 with previous version 0.1.1 dated 2025-11-05

Title: Comprehensive Geospatiotemporal Analysis and Multimodal Integration Toolkit
Description: A comprehensive toolkit for geospatiotemporal analysis featuring 60+ vegetation indices, advanced raster visualization, universal spatial mapping, water quality analysis, CDL crop analysis, spatial interpolation, temporal analysis, and terrain analysis. Designed for agricultural research, environmental monitoring, remote sensing applications, and publication-quality mapping with support for any geographic region and robust error handling. Methods include vegetation indices calculations (Rouse et al. 1974), NDVI and enhanced vegetation indices (Huete et al. 1997) <doi:10.1016/S0034-4257(97)00104-1>, (Akanbi et al. 2024) <doi:10.1007/s41651-023-00164-y>, spatial interpolation techniques (Cressie 1993, ISBN:9780471002556), water quality indices (McFeeters 1996) <doi:10.1080/01431169608948714>, and crop data layer analysis (USDA NASS 2024) <https://www.nass.usda.gov/Research_and_Science/Cropland/>. Funding: This material is based upon financial support by the Natio [...truncated...]
Author: Olatunde D. Akanbi [aut, cre, cph] , Vibha Mandayam [aut] , Yinghui Wu [aut] , Jeffrey Yarus [aut] , Erika I. Barcelos [aut, cph] , Roger H. French [aut, cph]
Maintainer: Olatunde D. Akanbi <olatunde.akanbi@case.edu>

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Thu, 07 May 2026

Package rsmatrix updated to version 0.2.10 with previous version 0.2.9 dated 2024-12-14

Title: Matrices for Repeat-Sales Price Indexes
Description: Calculate the matrices in Shiller (1991, <doi:10.1016/S1051-1377(05)80028-2>) that serve as the foundation for many repeat-sales price indexes.
Author: Steve Martin [aut, cre, cph]
Maintainer: Steve Martin <marberts@protonmail.com>

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Package nmw updated to version 0.3.0 with previous version 0.2.0 dated 2026-04-07

Title: Understanding Nonlinear Mixed Effects Modeling for Population Pharmacokinetics
Description: This shows how NONMEM(R) software works. NONMEM's classical estimation methods like 'First Order(FO) approximation', 'First Order Conditional Estimation(FOCE)', and 'Laplacian approximation' are explained. Additionally, provides functions for post-run processing of NONMEM output files, generating comprehensive PDF diagnostic reports including objective function value analysis, parameter estimates, prediction diagnostics, residual diagnostics, empirical Bayes estimate (EBE) analysis, input data summary, and individual pharmacokinetic parameter distributions.
Author: Kyun-Seop Bae [aut, cre]
Maintainer: Kyun-Seop Bae <k@acr.kr>

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Package ghclass updated to version 0.4.0 with previous version 0.3.1 dated 2025-05-06

Title: Tools for Managing Classes on GitHub
Description: Interface for the GitHub API that enables efficient management of courses on GitHub. It has a functionality for managing organizations, teams, repositories, and users on GitHub and helps automate most of the tedious and repetitive tasks around creating and distributing assignments.
Author: Colin Rundel [aut, cre], Mine Cetinkaya-Rundel [aut], Therese Anders [ctb]
Maintainer: Colin Rundel <rundel@gmail.com>

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Package cpfa updated to version 1.2-9 with previous version 1.2-8 dated 2026-04-13

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

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Package adelie updated to version 1.0.9 with previous version 1.0.8 dated 2025-07-01

Title: Group Lasso and Elastic Net Solver for Generalized Linear Models
Description: Extremely efficient procedures for fitting the entire group lasso and group elastic net regularization path for GLMs, multinomial, the Cox model and multi-task Gaussian models. Similar to the R package 'glmnet' in scope of models, and in computational speed. This package provides R bindings to the C++ code underlying the corresponding Python package 'adelie'. These bindings offer a general purpose group elastic net solver, a wide range of matrix classes that can exploit special structure to allow large-scale inputs, and an assortment of generalized linear model classes for fitting various types of data. The package is an implementation of Yang, J. and Hastie, T. (2024) <doi:10.48550/arXiv.2405.08631>.
Author: James Yang [aut, cph], Trevor Hastie [aut, cph, cre], Balasubramanian Narasimhan [aut]
Maintainer: Trevor Hastie <hastie@stanford.edu>

Diff between adelie versions 1.0.8 dated 2025-07-01 and 1.0.9 dated 2026-05-07

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 R/state.R                                                                        |    2 
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 R/wrappers.R                                                                     |   19 
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More information about adelie at CRAN
Permanent link

Package ATbounds updated to version 0.1.1 with previous version 0.1.0 dated 2021-11-24

Title: Bounding Treatment Effects by Limited Information Pooling
Description: Estimation and inference methods for bounding average treatment effects (on the treated) that are valid under an unconfoundedness assumption. The bounds are designed to be robust in challenging situations, for example, when the conditioning variables take on a large number of different values in the observed sample, or when the overlap condition is violated. This robustness is achieved by only using limited "pooling" of information across observations. For more details, see the paper by Lee and Weidner, "Bounding Treatment Effects by Pooling Limited Information across Observations," forthcoming at the Journal of Econometrics, <doi:10.48550/arXiv.2111.05243>.
Author: Sokbae Lee [aut, cre], Martin Weidner [aut]
Maintainer: Sokbae Lee <sl3841@columbia.edu>

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Package CoSMoS updated to version 2.2.0 with previous version 2.1.2 dated 2026-01-27

Title: Complete Stochastic Modelling Solution
Description: Makes univariate, multivariate, or random fields simulations precise and simple. Just select the desired time series or random fields’ properties and it will do the rest. CoSMoS is based on the framework described in Papalexiou (2018, <doi:10.1016/j.advwatres.2018.02.013>), extended for random fields in Papalexiou and Serinaldi (2020, <doi:10.1029/2019WR026331>), and further advanced in Papalexiou et al. (2021, <doi:10.1029/2020WR029466>) to allow fine-scale space-time simulation of storms (or even cyclone-mimicking fields).
Author: Simon Michael Papalexiou [aut], Francesco Serinaldi [aut], Filip Strnad [aut], Yannis Markonis [aut], Kevin Shook [ctb, cre]
Maintainer: Kevin Shook <kshook@kshook.ca>

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Package SSIMmap updated to version 0.4.0 with previous version 0.1.1 dated 2023-09-26

Title: The Structural Similarity Index Measure for Maps
Description: Extends the classical SSIM method proposed by 'Wang', 'Bovik', 'Sheikh', and 'Simoncelli'(2004) <doi:10.1109/TIP.2003.819861>. for irregular lattice-based maps and raster images. The geographical SSIM method incorporates well-developed 'geographically weighted summary statistics'('Brunsdon', 'Fotheringham' and 'Charlton' 2002) <doi:10.1016/S0198-9715(01)00009-6> with an adaptive bandwidth kernel function for irregular lattice-based maps.
Author: Hui Jeong Ha [aut, cre] , Jed Long [aut]
Maintainer: Hui Jeong (Hailyee) Ha <hha24@uwo.ca>

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Package Rduckhts updated to version 1.2.1-0.1.0 with previous version 1.1.6-0.0.2 dated 2026-04-09

Title: 'DuckDB' High Throughput Sequencing File Formats Reader Extension
Description: Bundles the 'duckhts' 'DuckDB' extension for reading High Throughput Sequencing file formats with 'DuckDB'. The 'DuckDB' C extension API <https://duckdb.org/docs/stable/clients/c/api> and its 'htslib' dependency are compiled from vendored sources during package installation. James K Bonfield and co-authors (2021) <doi:10.1093/gigascience/giab007>.
Author: Sounkou Mahamane Toure [aut, cre], James K Bonfield, John Marshall,Petr Danecek ,Heng Li , Valeriu Ohan, Andrew Whitwham,Thomas Keane , Robert M Davies [ctb] , Brent Pedersen [cph] , Giulio Genovese [cph] , DuckDB C Extension API Authors [ctb]
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>

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Package ggversa updated to version 0.1.1 with previous version 0.0.1 dated 2017-08-05

Title: Conjuntos de Datos para 'Graficas Versatiles con ggplot2'
Description: Una coleccion de conjuntos de datos para el libro "Graficas versatiles con ggplot: Analisis visuales de datos", por Raymond L. Tremblay y Julian Hernandez-Serrano. Incluye datos de ecologia, salud publica, educacion, economia y biodiversidad para la ensenanza de visualizacion de datos con 'ggplot2'.
Author: Raymond L. Tremblay [aut, cre] , Julian Hernandez-Serrano [aut]
Maintainer: Raymond L. Tremblay <raymondtremblay1@mac.com>

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Package vntrs updated to version 0.2.1 with previous version 0.2.0 dated 2025-10-25

Title: Variable Neighborhood Trust Region Search
Description: Implements the variable neighborhood trust region search (VNTRS) algorithm for nonlinear global optimization, following Bierlaire et al. (2009) "A Heuristic for Nonlinear Global Optimization" <doi:10.1287/ijoc.1090.0343>. The method combines neighborhood exploration with a trust-region framework to search the solution space efficiently. It can terminate a local search early when the iterates converge toward a previously visited local optimum or when further improvement within the current region is unlikely. The algorithm can also be used to identify multiple local optima.
Author: Lennart Oelschlaeger [aut, cre]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

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Package md4r updated to version 0.5.3.0 with previous version 0.5.2.0 dated 2024-02-05

Title: Markdown Parser Implemented using the 'MD4C' Library
Description: Provides an R wrapper for the 'MD4C' (Markdown for 'C') library. Functions exist for parsing markdown ('CommonMark' compliant) along with support for other common markdown extensions (e.g. 'GitHub' flavored markdown, 'LaTeX' equation support, etc.). The package also provides a number of higher level functions for exploring and manipulating markdown abstract syntax trees as well as translating and displaying the documents.
Author: Colin Rundel [aut, cre], Martin Mitas [cph] , RStudio, PBC [cph] , John MacFarlane [cph]
Maintainer: Colin Rundel <rundel@gmail.com>

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Package pharmaversesdtmjnj updated to version 0.0.4 with previous version 0.0.1 dated 2025-07-07

Title: J&J Innovative Medicine SDTM Test Data
Description: A set of Study Data Tabulation Model (SDTM) datasets constructed by modifying the 'pharmaversesdtm' package to meet J&J Innovative Medicine's standard data structure for Clinical and Statistical Programming.
Author: David Munoz Tord [aut, cre], Nicholas Masel [aut], Joe Kovach [aut], Renfei Mao [ctb], J&J Innovative Medicine [cph, fnd]
Maintainer: David Munoz Tord <david.munoztord@mailbox.org>

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Package pharmaverseadamjnj updated to version 0.0.4 with previous version 0.0.2 dated 2025-12-10

Title: J&J Innovative Medicine ADaM Test Data
Description: A set of Analysis Data Model (ADaM) datasets constructed by modifying the ADaM datasets in the 'pharmaverseadam' package to meet J&J Innovative Medicine's standard data structure for Clinical and Statistical Programming.
Author: David Munoz Tord [aut, cre], Nicholas Masel [aut], Joe Kovach [aut], Mahesh Divakaran [ctb], J&J Innovative Medicine [cph, fnd]
Maintainer: David Munoz Tord <david.munoztord@mailbox.org>

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Package mafR updated to version 1.1.14 with previous version 1.1.6 dated 2024-09-26

Title: Interface for Masked Autoregressive Flows
Description: Interfaces the 'python' library 'zuko' implementing Masked Autoregressive Flows. See Rozet, Divo and Schnake (2023) <doi:10.5281/zenodo.7625672> and Papamakarios, Pavlakou and Murray (2017) <doi:10.48550/arXiv.1705.07057>.
Author: Jean-Michel Marin [aut, cph], Francois Rousset [aut, cre, cph]
Maintainer: Francois Rousset <francois.rousset@umontpellier.fr>

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Package CERFIT updated to version 0.2.0 with previous version 0.1.1 dated 2025-09-26

Title: Causal Effect Random Forest of Interaction Trees
Description: Fits a Causal Effect Random Forest of Interaction Trees (CERFIT) which is a modification of the Random Forest algorithm where each split is chosen to maximize subgroup treatment heterogeneity. Doing this allows it to estimate the individualized treatment effect for each observation in either randomized controlled trial (RCT) or observational data. For more information see L. Li, R. A. Levine, and J. Fan (2022) <doi:10.1002/sta4.457>.
Author: Justin Thorp [aut, cre], Joshua Moffat [aut], Luo Li [aut], Juanjuan Fan [aut]
Maintainer: Justin Thorp <jjtthorp@gmail.com>

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Package MKmisc updated to version 2.0 with previous version 1.9 dated 2022-11-19

Title: Miscellaneous Functions from M. Kohl
Description: Contains several functions for statistical data analysis; e.g. for sample size and power calculations, computation of confidence intervals and tests, and generation of similarity matrices.
Author: Matthias Kohl [aut, cre]
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

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Package collinear updated to version 3.0.1 with previous version 3.0.0 dated 2025-12-08

Title: Automated Multicollinearity Management
Description: Provides a comprehensive and automated workflow for managing multicollinearity in data frames with numeric and/or categorical variables. The package integrates five robust methods into a single function: (1) target encoding of categorical variables based on response values (Micci-Barreca, 2001 (Micci-Barreca, D. 2001 <doi:10.1145/507533.507538>); (2) automated feature prioritization to preserve key predictors during filtering; (3 and 4) pairwise correlation and VIF filtering across all variable types (numeric–numeric, numeric–categorical, and categorical–categorical); (5) adaptive correlation and VIF thresholds. Together, these methods enable a reliable multicollinearity management in most use cases while maintaining model integrity. The package also supports parallel processing and progress tracking via the packages 'future' and 'progressr', and provides seamless integration with the 'tidymodels' ecosystem through a dedicated recipe step.
Author: Blas M. Benito [aut, cre, cph]
Maintainer: Blas M. Benito <blasbenito@gmail.com>

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Package bfbin2arm updated to version 0.1.2 with previous version 0.1.0 dated 2026-02-24

Title: Bayes Factor Design for Two-Arm Binomial Trials
Description: Design and analysis of one- and two-stage two-arm binomial clinical phase II trials using Bayes factors. Implements Bayes factors for point-null and directional hypotheses, predictive densities under different hypotheses, and power and sample size calibration.
Author: Riko Kelter [aut, cre]
Maintainer: Riko Kelter <rkelter@uni-koeln.de>

Diff between bfbin2arm versions 0.1.0 dated 2026-02-24 and 0.1.2 dated 2026-05-07

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More information about bfbin2arm at CRAN
Permanent link

Package wallace readmission to version 2.2.1 with previous version 2.2.0 dated 2025-03-06

Title: A Modular Platform for Reproducible Modeling of Species Niches and Distributions
Description: The 'shiny' application Wallace is a modular platform for reproducible modeling of species niches and distributions. Wallace guides users through a complete analysis, from the acquisition of species occurrence and environmental data to visualizing model predictions on an interactive map, thus bundling complex workflows into a single, streamlined interface. An extensive vignette, which guides users through most package functionality can be found on the package's GitHub Pages website: <https://wallaceecomod.github.io/wallace/articles/tutorial-v2.html>.
Author: Daniel F. Lopez-Lozano [aut], Bethany A. Johnson [aut], Jamie M. Kass [aut], Gonzalo E. Pinilla-Buitrago [aut], Andrea Paz [aut], Valentina Grisales-Betancur [aut], Dean Attali [aut], Matthew E. Aiello-Lammens [aut], Cory Merow [aut], Mary E. Blair [ [...truncated...]
Maintainer: Mary E. Blair <mblair1@amnh.org>

This is a re-admission after prior archival of version 2.2.0 dated 2025-03-06

Diff between wallace versions 2.2.0 dated 2025-03-06 and 2.2.1 dated 2026-05-07

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 NAMESPACE                                     |  113 
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 README.md                                     |  108 
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More information about wallace at CRAN
Permanent link

Package ronfig updated to version 0.0.10 with previous version 0.0.9 dated 2026-03-16

Title: Load Configuration Values
Description: A simple approach to configuring R projects with different parameter values. Configurations are specified using a reduced subset of base R and parsed accordingly.
Author: Tim Taylor [aut, cre, cph]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

Diff between ronfig versions 0.0.9 dated 2026-03-16 and 0.0.10 dated 2026-05-07

 DESCRIPTION        |    8 ++---
 MD5                |   10 +++----
 NEWS.md            |    7 +++++
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 build/vignette.rds |binary
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More information about ronfig at CRAN
Permanent link

Package MVar.pt updated to version 2.2.9 with previous version 2.2.8 dated 2026-04-13

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

Diff between MVar.pt versions 2.2.8 dated 2026-04-13 and 2.2.9 dated 2026-05-07

 DESCRIPTION            |    8 ++++----
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 man/MVar.pt-package.Rd |    4 ++--
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More information about MVar.pt at CRAN
Permanent link

Package ggguides updated to version 1.1.10 with previous version 1.1.6 dated 2026-04-23

Title: Simplified Legend and Guide Alignment for 'ggplot2'
Description: Provides one-liner functions for common legend and guide operations in 'ggplot2'. Simplifies legend positioning, styling, wrapping, and collection across multi-panel plots created with 'patchwork' or 'cowplot'.
Author: Gilles Colling [aut, cre]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

Diff between ggguides versions 1.1.6 dated 2026-04-23 and 1.1.10 dated 2026-05-07

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More information about ggguides at CRAN
Permanent link

Package campsismod updated to version 1.3.2 with previous version 1.3.1 dated 2026-03-17

Title: Generic Implementation of a PK/PD Model
Description: A generic, easy-to-use and expandable implementation of a pharmacokinetic (PK) / pharmacodynamic (PD) model based on the S4 class system. This package allows the user to read and write pharmacometric models from and to files, including a JSON-based interface to import Campsis models defined using a formal JSON schema distributed with the package. Models can be adapted further on the fly in the R environment using an intuitive API to add, modify or delete equations, ordinary differential equations (ODEs), model parameters or compartment properties (such as infusion duration or rate, bioavailability and initial values). The package also provides export facilities for use with the simulation packages 'rxode2' and 'mrgsolve'. The package itself is licensed under the GPL (>= 3); the JSON schema file shipped in inst/extdata is licensed separately under the Creative Commons Attribution 4.0 International (CC BY 4.0). This package is designed and intended to be used with the package 'campsi [...truncated...]
Author: Nicolas Luyckx [aut, cre]
Maintainer: Nicolas Luyckx <nicolas.luyckx@calvagone.com>

Diff between campsismod versions 1.3.1 dated 2026-03-17 and 1.3.2 dated 2026-05-07

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Package ananke updated to version 0.2.0 with previous version 0.1.0 dated 2025-04-18

Title: Quantitative Chronology in Archaeology
Description: Simple radiocarbon calibration and chronological analysis. This package allows the calibration of radiocarbon ages and modern carbon fraction values using multiple calibration curves. It allows the calculation of highest density region intervals and credible intervals. The package also provides tools for visualising results and estimating statistical summaries.
Author: Nicolas Frerebeau [aut, cre] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package RoBMA updated to version 4.0.0 with previous version 3.6.1 dated 2025-12-17

Title: Robust Bayesian Meta-Analyses
Description: A framework for Bayesian meta-analysis, including model estimation, prior specification, model comparison, prediction, summaries, visualizations, and diagnostics. The package fits single and model-averaged meta-analytic, meta-regression, multilevel, publication bias adjusted, and generalized linear mixed models The model-averaged meta-analytic models combine competing models based on their predictive performance, weight inference by posterior model probabilities, and test model components using Bayes factors (e.g., effect vs. no effect; Bartoš et al., 2022, <doi:10.1002/jrsm.1594>; Maier, Bartoš & Wagenmakers, 2022, <doi:10.1037/met0000405>; Bartoš et al., 2025, <doi:10.1037/met0000737>). Users can specify flexible prior distributions for effect sizes, heterogeneity, publication bias (including selection models and PET-PEESE), and moderators.
Author: Frantisek Bartos [aut, cre] , Maximilian Maier [aut] , Eric-Jan Wagenmakers [ths] , Joris Goosen [ctb], Matthew Denwood [cph] , Martyn Plummer [cph]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

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Package oolong updated to version 0.7.0 with previous version 0.6.1 dated 2024-04-15

Title: Create Validation Tests for Automated Content Analysis
Description: Intended to create standard human-in-the-loop validity tests for typical automated content analysis such as topic modeling and dictionary-based methods. This package offers a standard workflow with functions to prepare, administer and evaluate a human-in-the-loop validity test. This package provides functions for validating topic models using word intrusion, topic intrusion (Chang et al. 2009, <https://papers.nips.cc/paper/3700-reading-tea-leaves-how-humans-interpret-topic-models>) and word set intrusion (Ying et al. 2021) <doi:10.1017/pan.2021.33> tests. This package also provides functions for generating gold-standard data which are useful for validating dictionary-based methods. The default settings of all generated tests match those suggested in Chang et al. (2009) and Song et al. (2020) <doi:10.1080/10584609.2020.1723752>.
Author: Chung-hong Chan [aut, cre] , Marius Saeltzer [aut]
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

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Package MVar updated to version 2.2.9 with previous version 2.2.8 dated 2026-04-13

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

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Package MKomics updated to version 0.8 with previous version 0.7 dated 2021-08-08

Title: Omics Data Analysis
Description: Similarity plots based on correlation and median absolute deviation (MAD); adjusting colors for heatmaps; aggregate technical replicates; calculate pairwise fold-changes and log fold-changes; compute one- and two-way ANOVA; simplified interface to package 'limma' (Ritchie et al. (2015), <doi:10.1093/nar/gkv007> ) for moderated t-test and one-way ANOVA; Hamming and Levenshtein (edit) distance of strings as well as optimal alignment scores for global (Needleman-Wunsch) and local (Smith-Waterman) alignments with constant gap penalties (Merkl and Waack (2009), ISBN:978-3-527-32594-8).
Author: Matthias Kohl [aut, cre]
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

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Package lfebd3 updated to version 0.2.0 with previous version 0.1.0 dated 2026-04-24

Title: Generation and Analysis of 3-Level and 5-Level Factorial Block Designs
Description: Provides tools to generate and analyze 3-level and 5-level linear factorial block designs, including complete factorial layouts, fractional factorial layouts, confounded factorial layouts, and design-characteristic summaries. The package includes utilities for recursive construction, defining-contrast identification, alias and confounding summaries, incidence matrix construction, and selected design-characteristic diagnostics. The methodological framework follows foundational work on factorial block designs, including Gupta (1983) <doi:10.1111/j.2517-6161.1983.tb01253.x>.
Author: Vankudoth Kumar [aut], Sukanta Dash [aut, cre], Med Ram Verma [aut]
Maintainer: Sukanta Dash <sukanta.iasri@gmail.com>

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Package graphpcor readmission to version 0.1.25 with previous version 0.1.24 dated 2026-03-23

Title: Models for Correlation Matrices Based on Graphs
Description: Implement some models for correlation/covariance matrices including two approaches to model correlation matrices from a graphical structure. One use latent parent variables as proposed in Sterrantino et. al. (2024) <doi:10.1007/s10260-025-00788-y>. The other uses a graph to specify conditional relations between the variables. The graphical structure makes correlation matrices interpretable and avoids the quadratic increase of parameters as a function of the dimension. In the first approach a natural sequence of simpler models along with a complexity penalization is used. The second penalizes deviations from a base model. These can be used as prior for model parameters, considering C code through the 'cgeneric' interface for the 'INLA' package (<https://www.r-inla.org>). This allows one to use these models as building blocks combined and to other latent Gaussian models in order to build complex data models.
Author: Elias Teixeira Krainski [cre, aut, cph] , Denis Rustand [aut, cph] , Anna Freni-Sterrantino [aut, cph] , Janet van Niekerk [aut, cph] , Haavard Rue’ [aut]
Maintainer: Elias Teixeira Krainski <elias.krainski@kaust.edu.sa>

This is a re-admission after prior archival of version 0.1.24 dated 2026-03-23

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Package RoBSA updated to version 1.0.4 with previous version 1.0.3 dated 2025-03-24

Title: Robust Bayesian Survival Analysis
Description: A framework for estimating ensembles of parametric survival models with different parametric families. The RoBSA framework uses Bayesian model-averaging to combine the competing parametric survival models into a model ensemble, weights the posterior parameter distributions based on posterior model probabilities and uses Bayes factors to test for the presence or absence of the individual predictors or preference for a parametric family (Bartoš, Aust & Haaf, 2022, <doi:10.1186/s12874-022-01676-9>). The user can define a wide range of informative priors for all parameters of interest. The package provides convenient functions for summary, visualizations, fit diagnostics, and prior distribution calibration.
Author: Frantisek Bartos [aut, cre] , Julia M. Haaf [ths] , Matthew Denwood [cph] , Martyn Plummer [cph]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

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Package medrxivr readmission to version 0.1.3 with previous version 0.1.1 dated 2024-10-04

Title: Access and Search MedRxiv and BioRxiv Preprint Data
Description: An increasingly important source of health-related bibliographic content are preprints - preliminary versions of research articles that have yet to undergo peer review. The two preprint repositories most relevant to health-related sciences are medRxiv <https://www.medrxiv.org/> and bioRxiv, both of which are operated by the Cold Spring Harbor Laboratory. 'medrxivr' provides programmatic access to the 'Cold Spring Harbour Laboratory (CSHL)' API <https://api.biorxiv.org/>, allowing users to easily download medRxiv and bioRxiv preprint metadata (e.g. title, abstract, publication date, author list, etc) into R. 'medrxivr' also provides functions to search the downloaded preprint records using regular expressions and Boolean logic, as well as helper functions that allow users to export their search results to a .BIB file for easy import to a reference manager and to download the full-text PDFs of preprints matching their search criteria.
Author: Yaoxiang Li [aut, cre] , Luke McGuinness [aut], Lena Schmidt [aut], Tuija Sonkkila [rev], Najko Jahn [rev]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>

This is a re-admission after prior archival of version 0.1.1 dated 2024-10-04

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Package iotarelr updated to version 0.1.9 with previous version 0.1.8 dated 2026-04-21

Title: Iota Inter Coder Reliability for Content Analysis
Description: Routines and tools for assessing the quality of content analysis on the basis of the Iota Reliability Concept. The concept is inspired by item response theory and can be applied to any kind of content analysis which uses a standardized coding scheme and discrete categories. It is also applicable for content analysis conducted by artificial intelligence. The package provides reliability measures for a complete scale as well as for every single category. Analysis of subgroup-invariance and error corrections are implemented. This information can support the development process of a coding scheme and allows a detailed inspection of the quality of the generated data. Equations and formulas working in this package are part of Berding et al. (2022)<doi:10.3389/feduc.2022.818365> and Berding and Pargmann (2022) <doi:10.30819/5581>.
Author: Berding Florian [aut, cre] , Pargmann Julia [ctb]
Maintainer: Berding Florian <florian.berding@uni-hamburg.de>

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Package IDetect updated to version 0.1.1 with previous version 0.1.0 dated 2018-03-09

Title: Isolate-Detect Method for Multiple Change-Point Detection
Description: The IDetect provides efficient implementation of the ID methodology for the consistent estimation of the number and location of multiple change-points in one-dimensional data sequences from the `deterministic + noise' model. Currently implemented scenarios are: piecewise-constant signal, piecewise-constant signal with a heavy-tailed noise, continuous piecewise-linear signal, continuous piecewise-linear signal with a heavy-tailed noise.
Author: Andreas Anastasiou [aut, cre], Piotr Fryzlewicz [aut]
Maintainer: Andreas Anastasiou <anastasiou.andreas@ucy.ac.cy>

Diff between IDetect versions 0.1.0 dated 2018-03-09 and 0.1.1 dated 2026-05-07

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Package greeks updated to version 1.5.3 with previous version 1.5.1 dated 2025-11-17

Title: Sensitivities of Prices of Financial Options and Implied Volatilities
Description: Methods to calculate sensitivities of financial option prices for European, geometric and arithmetic Asian, and American options, with various payoff functions in the Black Scholes model, and in more general jump diffusion models. A shiny app to interactively plot the results is included. Furthermore, methods to compute implied volatilities are provided for a wide range of option types and custom payoff functions. Classical formulas are implemented for European options in the Black Scholes Model, as is presented in Hull, J. C. (2017), Options, Futures, and Other Derivatives. In the case of Asian options, Malliavin Monte Carlo Greeks are implemented, see Hudde, A. & Rüschendorf, L. (2023). European and Asian Greeks for exponential Lévy processes. <doi:10.1007/s11009-023-10014-5>. For American options, the Binomial Tree Method is implemented, as is presented in Hull, J. C. (2017).
Author: Anselm Hudde [aut, cre]
Maintainer: Anselm Hudde <anselmhudde@gmx.de>

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Package fru updated to version 0.0.7 with previous version 0.0.6 dated 2026-04-24

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 aelab updated to version 1.1.3 with previous version 1.1.1 dated 2026-02-26

Title: Data Processing for Aquatic Ecology
Description: Facilitate the analysis of data related to aquatic ecology, specifically the establishment of carbon budget. Currently, the package allows the below analysis. (i) the calculation of greenhouse gas flux based on data obtained from trace gas analyzer using the method described in Lin et al. (2024). (ii) the calculation of Dissolved Oxygen (DO) metabolism based on data obtained from dissolved oxygen data logger using the method described in Staehr et al. (2010). Yong et al. (2024) <doi:10.5194/bg-21-5247-2024>. Staehr et al. (2010) <doi:10.4319/lom.2010.8.0628>.
Author: Zhao-Jun Yong [cre, aut]
Maintainer: Zhao-Jun Yong <nuannuan0425@gmail.com>

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Package wru updated to version 3.1.0 with previous version 3.0.3 dated 2024-05-24

Title: Who are You? Bayesian Prediction of Racial Category Using Surname, First Name, Middle Name, and Geolocation
Description: Predicts individual race/ethnicity using surname, first name, middle name, geolocation, and other attributes, such as gender and age. The method utilizes Bayes' Rule (with optional measurement error correction) to compute the posterior probability of each racial category for any given individual. The package implements methods described in Imai and Khanna (2016) "Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Records" Political Analysis <DOI:10.1093/pan/mpw001> and Imai, Olivella, and Rosenman (2022) "Addressing census data problems in race imputation via fully Bayesian Improved Surname Geocoding and name supplements" <DOI:10.1126/sciadv.adc9824>. The package also incorporates the data described in Rosenman, Olivella, and Imai (2023) "Race and ethnicity data for first, middle, and surnames" <DOI:10.1038/s41597-023-02202-2>.
Author: Kabir Khanna [aut], Brandon Bertelsen [aut, cre], Santiago Olivella [aut], Evan Rosenman [aut], Alexander Rossell Hayes [aut], Kosuke Imai [aut], Noah Dasanaike [aut]
Maintainer: Brandon Bertelsen <brandon@bertelsen.ca>

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Package summata updated to version 0.11.5 with previous version 0.11.4 dated 2026-03-20

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 fdasrvf updated to version 2.4.4 with previous version 2.4.3 dated 2026-02-20

Title: Elastic Functional Data Analysis
Description: Performs alignment, PCA, and modeling of multidimensional and unidimensional functions using the square-root velocity framework (Srivastava et al., 2011 <doi:10.48550/arXiv.1103.3817> and Tucker et al., 2014 <DOI:10.1016/j.csda.2012.12.001>). This framework allows for elastic analysis of functional data through phase and amplitude separation.
Author: J. Derek Tucker [aut, cre] , Aymeric Stamm [ctb]
Maintainer: J. Derek Tucker <jdtuck@sandia.gov>

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Package mnirs updated to version 0.6.3 with previous version 0.6.2 dated 2026-04-18

Title: Muscle Near-Infrared Spectroscopy Processing and Analysis
Description: Read, process, and analyse data from muscle near-infrared spectroscopy (mNIRS) devices. Import raw data from .csv or .xls(x) files and return time-series data and metadata. Includes standardised methods for cleaning, filtering, and pre-processing mNIRS data for subsequent analysis. Also includes a custom plot theme and colour palette. Intended for mNIRS researchers and practitioners in exercise physiology, sports science, and clinical rehabilitation with minimal coding experience required.
Author: Jem Arnold [aut, cre, cph]
Maintainer: Jem Arnold <jem.arnold@gmail.com>

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Package kimfilter updated to version 2.0.0 with previous version 1.1.0 dated 2025-10-17

Title: Kim Filter
Description: 'Rcpp' implementation of the multivariate Kim filter, which combines the Kalman and Hamilton filters for state probability inference. The filter is designed for state space models and can handle missing values and exogenous data in the observation and state equations. Kim, Chang-Jin and Charles R. Nelson (1999) "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications" <doi:10.7551/mitpress/6444.001.0001><http://econ.korea.ac.kr/~cjkim/>.
Author: Alex Hubbard [aut, cre]
Maintainer: Alex Hubbard <hubbard.alex@gmail.com>

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Package ellmer updated to version 0.4.1 with previous version 0.4.0 dated 2025-11-15

Title: Chat with Large Language Models
Description: Chat with large language models from a range of providers including 'Claude' <https://claude.ai>, 'OpenAI' <https://chatgpt.com>, and more. Supports streaming, asynchronous calls, tool calling, and structured data extraction.
Author: Hadley Wickham [aut, cre] , Joe Cheng [aut], Aaron Jacobs [aut], Garrick Aden-Buie [aut] , Barret Schloerke [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package traumar updated to version 1.2.6 with previous version 1.2.5 dated 2026-04-16

Title: Calculate Metrics for Trauma System Performance
Description: Hospitals, hospital systems, and even trauma systems that provide care to injured patients may not be aware of robust metrics that can help gauge the efficacy of their programs in saving the lives of injured patients. 'traumar' provides robust functions driven by the academic literature to automate the calculation of relevant metrics to individuals desiring to measure the performance of their trauma center or even a trauma system. 'traumar' also provides some helper functions for the data analysis journey. Users can refer to the following publications for descriptions of the methods used in 'traumar'. TRISS methodology, including probability of survival, and the W, M, and Z Scores - Flora (1978) <doi:10.1097/00005373-197810000-00003>, Boyd et al. (1987, PMID:3106646), Llullaku et al. (2009) <doi:10.1186/1749-7922-4-2>, Singh et al. (2011) <doi:10.4103/0974-2700.86626>, Baker et al. (1974, PMID:4814394), and Champion et al. (1989) <doi:10.1097/00005373-198905000- [...truncated...]
Author: Nicolas Foss [aut, cre], Iowa Department of Health and Human Services [cph]
Maintainer: Nicolas Foss <nicolas.foss@hhs.iowa.gov>

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Package resourcecode updated to version 0.5.4 with previous version 0.5.3 dated 2026-02-06

Title: Access to the 'RESOURCECODE' Hindcast Database
Description: Utility functions to download data from the 'RESOURCECODE' hindcast database of sea-states, time series of sea-state parameters and time series of 1D and 2D wave spectra. See <https://resourcecode.ifremer.fr> for more details about the available data. Also provides facilities to plot and analyse downloaded data, such as computing the sea-state parameters from both the 1D and 2D surface elevation variance spectral density.
Author: Nicolas Raillard [aut, cre]
Maintainer: Nicolas Raillard <nicolas.raillard@ifremer.fr>

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Package ameras updated to version 0.3.0 with previous version 0.2.0 dated 2026-04-26

Title: Analyze Multiple Exposure Realizations in Association Studies
Description: Analyze association studies with multiple realizations of a noisy or uncertain exposure. These can be obtained from e.g. a two-dimensional Monte Carlo dosimetry system (Simon et al 2015 <doi:10.1667/RR13729.1>) to characterize exposure uncertainty. The implemented methods are regression calibration (Carroll et al. 2006 <doi:10.1201/9781420010138>), extended regression calibration (Little et al. 2023 <doi:10.1038/s41598-023-42283-y>), Monte Carlo maximum likelihood (Stayner et al. 2007 <doi:10.1667/RR0677.1>), frequentist model averaging (Kwon et al. 2023 <doi:10.1371/journal.pone.0290498>), and Bayesian model averaging (Kwon et al. 2016 <doi:10.1002/sim.6635>). Supported model families are Gaussian, binomial, multinomial, Poisson, proportional hazards, and conditional logistic.
Author: Sander Roberti [aut, cre] , William Wheeler [aut], Deukwoo Kwon [aut] , Ruth Pfeiffer [ctb] , NCI [cph, fnd]
Maintainer: Sander Roberti <sander.roberti@nih.gov>

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Package textreuse updated to version 1.0.1 with previous version 0.1.5 dated 2020-05-15

Title: Detect Text Reuse and Document Similarity
Description: Tools for measuring similarity among documents and detecting passages which have been reused. Implements shingled n-gram, skip n-gram, and other tokenizers; similarity/dissimilarity functions; pairwise comparisons; minhash and locality sensitive hashing algorithms; and a version of the Smith-Waterman local alignment algorithm suitable for natural language.
Author: Lincoln Mullen [aut] , Yaoxiang Li [aut, cre]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>

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Package promor readmission to version 0.2.3 with previous version 0.2.2 dated 2025-11-11

Title: Proteomics Data Analysis and Modeling Tools
Description: A comprehensive, user-friendly package for label-free proteomics data analysis and machine learning-based modeling. Data generated from 'MaxQuant' can be easily used to conduct differential expression analysis, build predictive models with top protein candidates, and assess model performance. promor includes a suite of tools for quality control, visualization, missing data imputation (Lazar et. al. (2016) <doi:10.1021/acs.jproteome.5b00981>), differential expression analysis (Ritchie et. al. (2015) <doi:10.1093/nar/gkv007>), and machine learning-based modeling (Kuhn (2008) <doi:10.18637/jss.v028.i05>).
Author: Chathurani Ranathunge [aut, cre, cph]
Maintainer: Chathurani Ranathunge <caranathunge86@gmail.com>

This is a re-admission after prior archival of version 0.2.2 dated 2025-11-11

Diff between promor versions 0.2.2 dated 2025-11-11 and 0.2.3 dated 2026-05-07

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Package pensynth updated to version 0.8.2 with previous version 0.8.1 dated 2025-10-13

Title: Penalized Synthetic Control Estimation
Description: Estimate penalized synthetic control models and perform hold-out validation to determine their penalty parameter. This method is based on the work by Abadie & L'Hour (2021) <doi:10.1080/01621459.2021.1971535>. Penalized synthetic controls smoothly interpolate between one-to-one matching and the synthetic control method.
Author: Erik-Jan van Kesteren [cre, aut] , Isaac Slaughter [ctb]
Maintainer: Erik-Jan van Kesteren <erikjanvankesteren@pm.me>

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Package ibkrcp updated to version 0.1.1 with previous version 0.1.0 dated 2026-05-06

Title: R Client for the Interactive Brokers Client Portal API
Description: Provides a lightweight R interface to the Interactive Brokers (IBKR) Client Portal REST API. Functions cover session management, account and portfolio queries, market data retrieval, and order placement and cancellation. Requires a locally running IBKR Client Portal Gateway.
Author: Nagappan Karuppiah [aut, cre]
Maintainer: Nagappan Karuppiah <sactyr@gmail.com>

Diff between ibkrcp versions 0.1.0 dated 2026-05-06 and 0.1.1 dated 2026-05-07

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Package AntClassify updated to version 0.2.1 with previous version 0.1.0 dated 2026-04-09

Title: Functional Guilds, Invasion Status, Endemism, and Rarity of Ants
Description: Provides functions for the analysis of ant communities, aiming to standardize workflows in myrmecology. The package automates the assignment of species to functional guilds based on trophic strategies, feeding habits, and foraging behavior, using established classification frameworks (Silva et al., 2015 <doi:10.7476/9788574554419>; Silvestre et al., 2003 <isbn:9588151236>; Delabie et al., 2000 <https://www.researchgate.net/publication/44961742_Sampling_Ground-Dwelling_Ants_Case_Studies_from_the_World%27s_Rain_Forests>), and also includes a novel classification system implemented within the package, developed from ant species occurring in urban environments. It also includes routines to flag exotic species of Brazil (Vieira, 2025, unpublished master's thesis), identify endemic species (Silva et al., 2025 <doi:10.37885/250920259>), and classify species rarity and rarity forms of the Atlantic Forest (Silva et al., 2024 <doi:10.1016/j.biocon.2024.110640>). The [...truncated...]
Author: Debora C. O. Goncalves [aut, cre], Nathalia S. Silva [aut], Rony P. S. Almeida [aut], Livia P. Prado [aut], Maria S. C. Morini [aut]
Maintainer: Debora C. O. Goncalves <debora_cog@outlook.com>

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Package dcifer updated to version 1.5.2 with previous version 1.5.0 dated 2025-11-11

Title: Genetic Relatedness Between Polyclonal Infections
Description: An implementation of Dcifer (Distance for complex infections: fast estimation of relatedness), an identity by descent (IBD) based method to calculate genetic relatedness between polyclonal infections from biallelic and multiallelic data. The package includes functions that format and preprocess the data, implement the method, and visualize the results. Gerlovina et al. (2022) <doi:10.1093/genetics/iyac126>.
Author: Inna Gerlovina [aut, cre]
Maintainer: Inna Gerlovina <innager@berkeley.edu>

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Package mwTensor updated to version 1.2.2 with previous version 1.1.0 dated 2023-07-06

Title: Multi-Way Component Analysis
Description: For single tensor data, any matrix factorization method can be specified the matricised tensor in each dimension by Multi-way Component Analysis (MWCA). An originally extended MWCA is also implemented to specify and decompose multiple matrices and tensors simultaneously (CoupledMWCA). See the reference section of GitHub README.md <https://github.com/rikenbit/mwTensor>, for details of the methods.
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

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Package ggblanket updated to version 20.0.0 with previous version 12.4.0 dated 2025-06-03

Title: Publication-Quality 'ggplot2' Visualisation
Description: Wrapper 'ggplot2' functions for publication-quality visualisation. Aligned with 'ggplot2' and 'tidyverse'. Covers much of what 'ggplot2' does.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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Package cgmguru updated to version 0.2.0 with previous version 0.1.0 dated 2025-11-05

Title: Advanced Continuous Glucose Monitoring Analysis with High-Performance C++ Backend
Description: Tools for advanced analysis of continuous glucose monitoring (CGM) time-series, implementing GRID (Glucose Rate Increase Detector) and GRID-based algorithms for postprandial peak detection, and detection of hypoglycemic and hyperglycemic episodes (Levels 1/2/Extended) aligned with international consensus CGM metrics. Core algorithms are implemented in optimized C++ using 'Rcpp' to provide accurate and fast analysis on large datasets.
Author: Sang Ho Park [aut, cre], Rosa Oh [aut, ctb], Sang-Man Jin [aut, ctb]
Maintainer: Sang Ho Park <shstat1729@gmail.com>

Diff between cgmguru versions 0.1.0 dated 2025-11-05 and 0.2.0 dated 2026-05-07

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Package lmtp updated to version 1.5.4 with previous version 1.5.3 dated 2025-07-24

Title: Non-Parametric Causal Effects of Feasible Interventions Based on Modified Treatment Policies
Description: Non-parametric estimators for casual effects based on longitudinal modified treatment policies as described in Diaz, Williams, Hoffman, and Schenck <doi:10.1080/01621459.2021.1955691>, traditional point treatment, and traditional longitudinal effects. Continuous, binary, categorical treatments, and multivariate treatments are allowed as well are censored outcomes. The treatment mechanism is estimated via a density ratio classification procedure irrespective of treatment variable type. For both continuous and binary outcomes, additive treatment effects can be calculated and relative risks and odds ratios may be calculated for binary outcomes. Supports survival outcomes with competing risks (Diaz, Hoffman, and Hejazi; <doi:10.1007/s10985-023-09606-7>).
Author: Nicholas Williams [aut, cre, cph] , Ivan Diaz [aut, cph] , Beaudan Campbell-Brown [ctb]
Maintainer: Nicholas Williams <ntwilliams.personal@gmail.com>

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Wed, 06 May 2026

Package Deducer updated to version 0.9-2 with previous version 0.9-1 dated 2025-10-02

Title: A Data Analysis GUI for R
Description: An intuitive, cross-platform graphical data analysis system. It uses menus and dialogs to guide the user efficiently through the data manipulation and analysis process, and has an excel like spreadsheet for easy data frame visualization and editing. Deducer works best when used with the Java based R GUI JGR, but the dialogs can be called from the command line. Dialogs have also been integrated into the Windows Rgui.
Author: Ian Fellows [aut, cre]
Maintainer: Ian Fellows <ian@fellstat.com>

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Package medfateland updated to version 3.0.0 with previous version 2.8.1 dated 2025-10-22

Title: Mediterranean Landscape Simulation
Description: Simulate forest hydrology, forest function and dynamics over landscapes [De Caceres et al. (2015) <doi:10.1016/j.agrformet.2015.06.012>]. Parallelization is allowed in several simulation functions and simulations may be conducted including spatial processes such as lateral water transfer and seed dispersal.
Author: Miquel De Caceres [aut, cre], Aitor Ameztegui [aut] , Maria Gonzalez [aut] , Nuria Aquilue [aut], Daniel Caviedes-Voullieme [aut], Mario Morales-Hernandez [aut], Mario Beltran [ctb], Rodrigo Balaguer-Romano [ctb] , Roberto Molowny-Horas [ctb]
Maintainer: Miquel De Caceres <miquelcaceres@gmail.com>

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Package focus updated to version 0.1.5 with previous version 0.1.3 dated 2026-03-31

Title: Online Changepoint Detection in Univariate and Multivariate Data Streams
Description: Provides high-performance online changepoint detection in univariate and multivariate data streams. Implements efficient 'C++' backends for the 'focus', 'md-focus' and 'np-focus' algorithms, with an 'R' interface for real-time monitoring and offline analysis. The package bundles code from 'Qhull' <http://www.qhull.org/>, by C. B. Barber and The Geometry Center. See 'inst/COPYRIGHTS' for details.
Author: Gaetano Romano [aut, cre, trl], Kes Ward [aut], Yuntang Fan [aut], Guillem Rigaill [aut], Vincent Runge [aut], Paul Fearnhead [aut], Idris A. Eckley [aut], C. B. Barber [ctb, cph] , The Geometry Center [cph]
Maintainer: Gaetano Romano <g.romano@lancaster.ac.uk>

Diff between focus versions 0.1.3 dated 2026-03-31 and 0.1.5 dated 2026-05-06

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Package tidywikidatar updated to version 0.6.2 with previous version 0.6.1 dated 2026-02-09

Title: Explore 'Wikidata' Through Tidy Data Frames
Description: Query 'Wikidata' API <https://www.wikidata.org/wiki/Wikidata:Main_Page> with ease, get tidy data frames in response, and cache data in a local database.
Author: Giorgio Comai [aut, cre, cph] , EDJNet [fnd]
Maintainer: Giorgio Comai <giorgio.comai@cci.tn.it>

Diff between tidywikidatar versions 0.6.1 dated 2026-02-09 and 0.6.2 dated 2026-05-06

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Package openesm updated to version 0.2.0 with previous version 0.1.2 dated 2025-12-03

Title: Access the Open Experience Sampling Method Database
Description: Provides programmatic access to the Open Experience Sampling Method ('openESM') database (<https://openesmdata.org>), a collection of harmonized experience sampling datasets. The package enables researchers to discover, download, and work with the datasets while ensuring proper citation and license compliance.
Author: Bjoern S. Siepe [aut, cre, cph] , Matthias Kloft [aut]
Maintainer: Bjoern S. Siepe <bjoernsiepe@gmail.com>

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Package MorphSim updated to version 1.2.0 with previous version 0.1.0 dated 2026-01-12

Title: Simulate Discrete Character Data along Phylogenetic Trees
Description: Tools to simulate morphological traits along phylogenetic trees with branch lengths representing evolutionary distance or time. Includes functions for visualizing evolutionary processes along trees and within morphological character matrices.
Author: Laura Mulvey [aut, cre, cph], Tim Brandler [aut, cph], Alessio Capobianco [aut, cph], Rachel Warnock [aut, cph], Joelle Barido-Sottani [aut, cph]
Maintainer: Laura Mulvey <lauramulvey479@gmail.com>

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Package divent updated to version 0.5-4 with previous version 0.5-3 dated 2025-08-27

Title: Entropy Partitioning to Measure Diversity
Description: Measurement and partitioning of diversity, based on Tsallis entropy, following Marcon and Herault (2015) <doi:10.18637/jss.v067.i08>. 'divent' provides functions to estimate alpha, beta and gamma diversity of communities, including phylogenetic and functional diversity.
Author: Eric Marcon [aut, cre] , Florence Puech [aut]
Maintainer: Eric Marcon <eric.marcon@agroparistech.fr>

Diff between divent versions 0.5-3 dated 2025-08-27 and 0.5-4 dated 2026-05-06

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Package cpp11 updated to version 0.5.5 with previous version 0.5.4 dated 2026-04-04

Title: A C++11 Interface for R's C Interface
Description: Provides a header only, C++11 interface to R's C interface. Compared to other approaches 'cpp11' strives to be safe against long jumps from the C API as well as C++ exceptions, conform to normal R function semantics and supports interaction with 'ALTREP' vectors.
Author: Davis Vaughan [aut, cre] , Jim Hester [aut] , Romain Francois [aut] , Benjamin Kietzman [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Davis Vaughan <davis@posit.co>

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Package blindrecalc updated to version 1.1.1 with previous version 1.1.0 dated 2025-06-17

Title: Blinded Sample Size Recalculation
Description: Computation of key characteristics and plots for blinded sample size recalculation. Continuous as well as binary endpoints are supported in superiority and non-inferiority trials. See Baumann, Pilz, Kieser (2022) <doi:10.32614/RJ-2022-001> for a detailed description. The implemented methods include the approaches by Lu, K. (2016) <doi:10.1002/pst.1737>, Kieser, M. and Friede, T. (2000) <doi:10.1002/(SICI)1097-0258(20000415)19:7%3C901::AID-SIM405%3E3.0.CO;2-L>, Friede, T. and Kieser, M. (2004) <doi:10.1002/pst.140>, Friede, T., Mitchell, C., Mueller-Veltern, G. (2007) <doi:10.1002/bimj.200610373>, and Friede, T. and Kieser, M. (2011) <doi:10.3414/ME09-01-0063>.
Author: Lukas Baumann [aut, cre] , Maximilian Pilz [aut] , Institute of Medical Biometry - University of Heidelberg [cph]
Maintainer: Lukas Baumann <baumann@imbi.uni-heidelberg.de>

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