Fri, 15 May 2026

Package covatest updated to version 1.2.5 with previous version 1.2.4 dated 2025-05-13

Title: Tests on Properties of Space-Time Covariance Functions
Description: Tests on properties of space-time covariance functions. Tests on symmetry, separability and for assessing different forms of non-separability are available. Moreover tests on some classes of covariance functions, such that the classes of product-sum models, Gneiting models and integrated product models have been provided. It is the companion R package to the papers of Cappello, C., De Iaco, S., Posa, D., 2018, Testing the type of non-separability and some classes of space-time covariance function models <doi:10.1007/s00477-017-1472-2> and Cappello, C., De Iaco, S., Posa, D., 2020, covatest: an R package for selecting a class of space-time covariance functions <doi:10.18637/jss.v094.i01>.
Author: Sandra De Iaco [aut, cre], Claudia Cappello [aut], Donato Posa [aut], Sabrina Maggio [ctb]
Maintainer: Sandra De Iaco <sandra.deiaco@unisalento.it>

Diff between covatest versions 1.2.4 dated 2025-05-13 and 1.2.5 dated 2026-05-15

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More information about covatest at CRAN
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Package Require updated to version 2.0.0 with previous version 1.0.1 dated 2024-08-17

Title: Installing and Loading R Packages for Reproducible Workflows
Description: A single key function, 'Require' that makes rerun-tolerant versions of 'install.packages' and 'require' for CRAN packages, packages no longer on CRAN (i.e., archived), specific versions of packages, and GitHub packages. This approach is developed to create reproducible workflows that are flexible and fast enough to use while in development stages, while able to build snapshots once a stable package collection is found. As with other functions in a reproducible workflow, this package emphasizes functions that return the same result whether it is the first or subsequent times running the function, with subsequent times being sufficiently fast that they can be run every time without undue waiting burden on the user or developer.
Author: Eliot J B McIntire [aut, cre] , Alex M Chubaty [ctb] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

Diff between Require versions 1.0.1 dated 2024-08-17 and 2.0.0 dated 2026-05-15

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More information about Require at CRAN
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Package psych updated to version 2.6.5 with previous version 2.6.3 dated 2026-03-25

Title: Procedures for Psychological, Psychometric, and Personality Research
Description: A general purpose toolbox developed originally for personality, psychometric theory and experimental psychology. Functions are primarily for multivariate analysis and scale construction using factor analysis, principal component analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for analyzing data at multiple levels include within and between group statistics, including correlations and factor analysis. Validation and cross validation of scales developed using basic machine learning algorithms are provided, as are functions for simulating and testing particular item and test structures. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, including mediation models, factor analysis and structural equation models are created using basic graphics. Some of the fu [...truncated...]
Author: William Revelle [aut, cre]
Maintainer: William Revelle <revelle@northwestern.edu>

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Package penetrance updated to version 0.1.3 with previous version 0.1.2 dated 2026-02-05

Title: Methods for Penetrance Estimation in Family-Based Studies
Description: Implements statistical methods for estimating disease penetrance in family-based studies. Penetrance refers to the probability of disease manifestation in individuals carrying specific genetic variants. The package provides tools for age-specific penetrance estimation, handling missing data, and accounting for ascertainment bias in family studies. Cite as: Kubista, N., Braun, D. & Parmigiani, G. (2024) <d 10.1093/bioadv/vbaf154>.
Author: Sol Rosito [cre], Nicolas Kubista [aut], BayesMendel Lab [aut], Giovanni Parmigiani [aut], Danielle Braun [aut], Alice Zhang [aut]
Maintainer: Sol Rosito <bmendel@jimmy.harvard.edu>

Diff between penetrance versions 0.1.2 dated 2026-02-05 and 0.1.3 dated 2026-05-15

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Package ABCDscores updated to version 7.0.0 with previous version 6.1.0 dated 2025-11-25

Title: Summary Scores of the Adolescent Brain Cognitive Development (ABCD) Study
Description: Provides functions to compute summary scores (besides proprietary ones) reported in the tabulated data resource that is released by the Adolescent Brain Cognitive Development (ABCD) study.
Author: Le Zhang [aut, cre] , Janosch Linkersdoerfer [aut] , Olivier Celhay [aut] , Biplabendu Das [aut] , Sammy Berman [aut] , Laura Ziemer [aut] , Shermaine Abad [aut]
Maintainer: Le Zhang <dairc.service@gmail.com>

Diff between ABCDscores versions 6.1.0 dated 2025-11-25 and 7.0.0 dated 2026-05-15

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Package raretrans updated to version 1.0.5 with previous version 1.0.4 dated 2026-04-21

Title: Bayesian Priors for Matrix Population Models
Description: Provides functions to correct biased transition and fertility estimates in population projection matrices caused by small sample sizes. Small or short-term studies frequently produce structural zeros (biologically possible transitions never observed) and structural ones (transitions estimated at 100% survival, stasis, or mortality that are biologically implausible). Both distort matrix structure and bias estimates of population growth. Implements a multinomial-Dirichlet Bayesian prior for transition probabilities and a Gamma-Poisson prior for reproduction, allowing analysts to incorporate prior biological knowledge and regularise estimates from rare or unobserved events. Includes functions to compute marginal posterior credible intervals for all transition probabilities (transition_CrI()), visualise those intervals as point-range plots (plot_transition_CrI()), and display the full posterior beta density for each matrix entry (plot_transition_density()). Methods are described in Trembla [...truncated...]
Author: Raymond Tremblay [aut, cre, cph] , Andrew Tyre [aut, cph] , Maria-Eglee Perez [aut] , Sasha Tenhumberg [ctb]
Maintainer: Raymond Tremblay <raymond.tremblay@upr.edu>

Diff between raretrans versions 1.0.4 dated 2026-04-21 and 1.0.5 dated 2026-05-15

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Package obm updated to version 2.1 with previous version 2.0 dated 2026-02-28

Title: Interface to 'OpenBioMaps' Data and Services
Description: Provides access to selected functions and data available through any 'OpenBioMaps' <https://openbiomaps.org> server instance. 'OpenBioMaps' is an open-source biodiversity data management platform designed for conservation professionals and researchers. User authentication and access control are handled through 'OpenBioMaps' login credentials.
Author: Miklos Ban [aut, cre]
Maintainer: Miklos Ban <banm@vocs.unideb.hu>

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Package manifestoR updated to version 1.6.3 with previous version 1.6.2 dated 2026-01-29

Title: Access and Process Data and Documents of the Manifesto Project
Description: Provides access to coded election programmes from the Manifesto Corpus and to the Manifesto Project's Main Dataset and routines to analyse this data. The Manifesto Project <https://manifesto-project.wzb.eu> collects and analyses election programmes across time and space to measure the political preferences of parties. The Manifesto Corpus contains the collected and annotated election programmes in the Corpus format of the package 'tm' to enable easy use of text processing and text mining functionality. Specific functions for scaling of coded political texts are included.
Author: Jirka Lewandowski [aut], Nicolas Merz [aut], Sven Regel [aut], Pola Lehmann [cre, ctb], Paul Muscat [ctb]
Maintainer: Pola Lehmann <pola.lehmann@wzb.eu>

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Package lsei updated to version 1.3-1 with previous version 1.3-0 dated 2020-09-17

Title: Solving Least Squares or Quadratic Programming Problems under Equality/Inequality Constraints
Description: It contains functions that solve least squares linear regression problems under linear equality/inequality constraints. Functions for solving quadratic programming problems are also available, which transform such problems into least squares ones first. It is developed based on the 'Fortran' program of Lawson and Hanson (1974, 1995), which is public domain and available at <https://www.netlib.org/lawson-hanson/>.
Author: Yong Wang [aut, cre], Charles L. Lawson [aut], Richard J. Hanson [aut]
Maintainer: Yong Wang <yongwang@auckland.ac.nz>

Diff between lsei versions 1.3-0 dated 2020-09-17 and 1.3-1 dated 2026-05-15

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Package L0ggm updated to version 0.1.0 with previous version 0.0.1 dated 2026-03-26

Title: Smooth L0 Penalty Approximations for Gaussian Graphical Models
Description: Provides smooth approximations to the L0 norm penalty for estimating sparse Gaussian graphical models (GGMs). Network estimation is performed using the Local Linear Approximation (LLA) framework (Fan & Li, 2001 <doi:10.1198/016214501753382273>; Zou & Li, 2008 <doi:10.1214/009053607000000802>) with five penalty functions: arctangent (Wang & Zhu, 2016 <doi:10.1155/2016/6495417>), EXP (Wang, Fan, & Zhu, 2018 <doi:10.1007/s10463-016-0588-3>), Gumbel, Log (Candes, Wakin, & Boyd, 2008 <doi:10.1007/s00041-008-9045-x>), and Weibull. Adaptive penalty parameters for EXP, Gumbel, and Weibull are estimated via maximum likelihood, and model selection uses information criteria including AIC, BIC, and EBIC (Extended BIC). Simulation functions generate multivariate normal data from GGMs with stochastic block model or small-world (Watts-Strogatz) network structures.
Author: Alexander Christensen [aut, cre] , Jeongwon Choi [ctb] , John Fox [cph, ctb] , Yves Rosseel [cph, ctb] , Alexander Robitzsch [cph, ctb] , David Blackman [ctb] , Sebastiano Vigna [ctb] , John Burkardt [cph, ctb]
Maintainer: Alexander Christensen <alexpaulchristensen@gmail.com>

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 32 files changed, 280 insertions(+), 262 deletions(-)

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Package Characterization updated to version 3.0.1 with previous version 3.0.0 dated 2026-03-25

Title: Implement Descriptive Studies Using the Common Data Model
Description: An end-to-end framework that enables users to implement various descriptive studies for a given set of target and outcome cohorts for data mapped to the Observational Medical Outcomes Partnership Common Data Model.
Author: Jenna Reps [aut, cre], Patrick Ryan [aut], Chris Knoll [aut]
Maintainer: Jenna Reps <jreps@its.jnj.com>

Diff between Characterization versions 3.0.0 dated 2026-03-25 and 3.0.1 dated 2026-05-15

 DESCRIPTION                          |    8 ++++----
 MD5                                  |   14 +++++++-------
 R/Database.R                         |    2 +-
 R/RunCharacterization.R              |    6 +++---
 inst/doc/Specification.html          |    2 +-
 inst/doc/UsingPackage.html           |    2 +-
 inst/sql/sql_server/ResultTables.sql |    6 +++---
 man/runCharacterizationAnalyses.Rd   |    2 +-
 8 files changed, 21 insertions(+), 21 deletions(-)

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Package yrnd updated to version 0.1.3 with previous version 0.1.2 dated 2026-04-15

Title: Extracts Risk Neutral Densities of Prices, Money Market Rates and Government Bond Yields from Interest Rates Futures Options Prices
Description: Provides with parametric risk neutral densities and cumulative densities for futures prices on fixed-income products. It relies on options on Short Term Interest Rate futures contracts or options on government bond futures contracts. It models the price of the underlying asset as a mixture of either two or three lognormal densities. It also offers new functions which provide with risk neutral densities and cumulative densities of the money market rate or the government bond yield inferred from the futures contract's price, using the density of the futures price. The package leverages on the works of Melick, W. R. and Thomas, C. P. (1997) <doi:10.2307/2331318> and B. Bahra (1998) <doi:10.2139/ssrn.77429>.
Author: William Arrata [aut, cre]
Maintainer: William Arrata <william.arrata@gmail.com>

Diff between yrnd versions 0.1.2 dated 2026-04-15 and 0.1.3 dated 2026-05-15

 DESCRIPTION                   |    9 
 MD5                           |   40 
 NAMESPACE                     |    1 
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 inst/doc/yrnd_functions.Rmd   |  126 
 inst/doc/yrnd_functions.html  |109737 +++++++++++++++++++++---------------------
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 man/stir_rate.Rd              |    8 
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 22 files changed, 55362 insertions(+), 55234 deletions(-)

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Package SomaDataIO updated to version 6.6.1 with previous version 6.6.0 dated 2026-05-04

Title: Input/Output 'SomaScan' Data
Description: Load and export 'SomaScan' data via the 'SomaLogic Operating Co., Inc.' structured text file called an ADAT ('*.adat'). For file format see <https://github.com/SomaLogic/SomaLogic-Data/blob/main/README.md>. The package also exports auxiliary functions for manipulating, wrangling, and extracting relevant information from an ADAT object once in memory.
Author: Stu Field [aut] , Caleb Scheidel [cre], SomaLogic Operating Co., Inc. [cph, fnd]
Maintainer: Caleb Scheidel <calebjscheidel@gmail.com>

Diff between SomaDataIO versions 6.6.0 dated 2026-05-04 and 6.6.1 dated 2026-05-15

 DESCRIPTION                           |    6 +++---
 MD5                                   |   10 +++++-----
 NEWS.md                               |   10 ++++++++++
 R/medianNormalize.R                   |   27 +++++++++++++++------------
 README.md                             |    2 +-
 tests/testthat/test-medianNormalize.R |    8 ++++++++
 6 files changed, 42 insertions(+), 21 deletions(-)

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Package saber updated to version 0.7.1 with previous version 0.3.0 dated 2026-04-05

Title: Context Engineering for Large Language Model Agents
Description: Context-engineering primitives for Artificial Intelligence (AI) coding agents working in R. Assembles agent context from memory and instruction files ('AGENTS.md', 'CLAUDE.md'), traces function call blast radius across projects, generates project briefings, parses source into Abstract Syntax Tree (AST) symbol indices, discovers dependency graphs, and introspects installed packages. Zero dependencies.
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>

Diff between saber versions 0.3.0 dated 2026-04-05 and 0.7.1 dated 2026-05-15

 DESCRIPTION                        |   31 ++++---
 MD5                                |   50 +++++++-----
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 34 files changed, 510 insertions(+), 244 deletions(-)

More information about saber at CRAN
Permanent link

Package npRmpi updated to version 0.70-2 with previous version 0.70-1 dated 2026-05-01

Title: Parallel Nonparametric Kernel Smoothing Methods for Mixed Data Types Using 'MPI'
Description: Nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types. This package is a parallel implementation of the 'np' package based on the 'MPI' specification that incorporates the 'Rmpi' package (Hao Yu <hyu@stats.uwo.ca>) with minor modifications and we are extremely grateful to Hao Yu for his contributions to the 'R' community. We would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <https://www.nserc-crsng.gc.ca/>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <https://www.sshrc-crsh.gc.ca/>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <https://sharcnet.ca/>). We would also like to acknowledge the contributions of the 'GNU GSL' authors. In particular, we adapt the 'GNU GSL' B-spline routine 'gsl_bspline.c' adding automated support for quantile knots (in addition t [...truncated...]
Author: Jeffrey S. Racine [aut, cre], Tristen Hayfield [aut], Hao Yu [ctb, cph], The GSL Team [cph], Numerical Recipes Software [cph]
Maintainer: Jeffrey S. Racine <racinej@mcmaster.ca>

Diff between npRmpi versions 0.70-1 dated 2026-05-01 and 0.70-2 dated 2026-05-15

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 npRmpi-0.70-2/npRmpi/CHANGELOG                                                               |  421 
 npRmpi-0.70-2/npRmpi/DESCRIPTION                                                             |    8 
 npRmpi-0.70-2/npRmpi/MD5                                                                     |  637 -
 npRmpi-0.70-2/npRmpi/NAMESPACE                                                               |   22 
 npRmpi-0.70-2/npRmpi/NEWS.md                                                                 |   88 
 npRmpi-0.70-2/npRmpi/R/Rcomm.R                                                               |    6 
 npRmpi-0.70-2/npRmpi/R/a.bw.dispatch.R                                                       |   37 
 npRmpi-0.70-2/npRmpi/R/bandwidth.R                                                           |    2 
 npRmpi-0.70-2/npRmpi/R/conbandwidth.R                                                        |    2 
 npRmpi-0.70-2/npRmpi/R/condbandwidth.R                                                       |    2 
 npRmpi-0.70-2/npRmpi/R/condensity.R                                                          |   48 
 npRmpi-0.70-2/npRmpi/R/condistribution.R                                                     |   48 
 npRmpi-0.70-2/npRmpi/R/conmode.R                                                             |  228 
 npRmpi-0.70-2/npRmpi/R/dbandwidth.R                                                          |    2 
 npRmpi-0.70-2/npRmpi/R/density.R                                                             |    5 
 npRmpi-0.70-2/npRmpi/R/distribution.R                                                        |    5 
 npRmpi-0.70-2/npRmpi/R/gsl_bspline.R                                                         |   36 
 npRmpi-0.70-2/npRmpi/R/np.autodispatch.R                                                     |   80 
 npRmpi-0.70-2/npRmpi/R/np.cdenshat.R                                                         |    6 
 npRmpi-0.70-2/npRmpi/R/np.cdhat.helpers.R                                                    |  352 
 npRmpi-0.70-2/npRmpi/R/np.cdisthat.R                                                         |    6 
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 npRmpi-0.70-2/npRmpi/R/np.condistribution.bw.R                                               |   59 
 npRmpi-0.70-2/npRmpi/R/np.conmode.R                                                          |  358 
 npRmpi-0.70-2/npRmpi/R/np.copula.R                                                           | 1544 +++
 npRmpi-0.70-2/npRmpi/R/np.density.R                                                          |    1 
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 npRmpi-0.70-2/npRmpi/R/np.distribution.R                                                     |    1 
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 npRmpi-0.70-2/npRmpi/R/np.plot.engine.plbandwidth.R                                          |   26 
 npRmpi-0.70-2/npRmpi/R/np.plot.engine.rbandwidth.R                                           |   24 
 npRmpi-0.70-2/npRmpi/R/np.plot.engine.scbandwidth.R                                          |   26 
 npRmpi-0.70-2/npRmpi/R/np.plot.engine.sibandwidth.R                                          |    9 
 npRmpi-0.70-2/npRmpi/R/np.plot.helpers.R                                                     | 4305 ++++++++--
 npRmpi-0.70-2/npRmpi/R/np.plot.methods.R                                                     | 1778 ++++
 npRmpi-0.70-2/npRmpi/R/np.plregression.R                                                     |   12 
 npRmpi-0.70-2/npRmpi/R/np.plregression.bw.R                                                  | 1055 ++
 npRmpi-0.70-2/npRmpi/R/np.qregression.R                                                      | 1066 ++
 npRmpi-0.70-2/npRmpi/R/np.reghat.R                                                           |   43 
 npRmpi-0.70-2/npRmpi/R/np.regression.R                                                       |   40 
 npRmpi-0.70-2/npRmpi/R/np.regression.bw.R                                                    |  244 
 npRmpi-0.70-2/npRmpi/R/np.semihat.R                                                          |  214 
 npRmpi-0.70-2/npRmpi/R/np.singleindex.R                                                      |   22 
 npRmpi-0.70-2/npRmpi/R/np.singleindex.bw.R                                                   |  174 
 npRmpi-0.70-2/npRmpi/R/np.smoothcoef.R                                                       |   33 
 npRmpi-0.70-2/npRmpi/R/np.smoothcoef.bw.R                                                    |  103 
 npRmpi-0.70-2/npRmpi/R/np.udenshat.R                                                         |  157 
 npRmpi-0.70-2/npRmpi/R/np.udisthat.R                                                         |  202 
 npRmpi-0.70-2/npRmpi/R/npregiv.R                                                             |   23 
 npRmpi-0.70-2/npRmpi/R/npregivderiv.R                                                        |    7 
 npRmpi-0.70-2/npRmpi/R/plbandwidth.R                                                         |   47 
 npRmpi-0.70-2/npRmpi/R/plregression.R                                                        |  112 
 npRmpi-0.70-2/npRmpi/R/progress.R                                                            |   62 
 npRmpi-0.70-2/npRmpi/R/qregression.R                                                         |   65 
 npRmpi-0.70-2/npRmpi/R/rbandwidth.R                                                          |   14 
 npRmpi-0.70-2/npRmpi/R/regression.R                                                          |   20 
 npRmpi-0.70-2/npRmpi/R/session.R                                                             |   68 
 npRmpi-0.70-2/npRmpi/R/sibandwidth.R                                                         |    2 
 npRmpi-0.70-2/npRmpi/R/singleindex.R                                                         |    6 
 npRmpi-0.70-2/npRmpi/R/smoothbandwidth.R                                                     |    2 
 npRmpi-0.70-2/npRmpi/R/smoothcoefficient.R                                                   |    5 
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More information about npRmpi at CRAN
Permanent link

Package np updated to version 0.70-2 with previous version 0.70-1 dated 2026-05-02

Title: Nonparametric Kernel Smoothing Methods for Mixed Data Types
Description: Nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types. We would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <https://www.nserc-crsng.gc.ca/>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <https://www.sshrc-crsh.gc.ca/>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <https://sharcnet.ca/>). We would also like to acknowledge the contributions of the GNU GSL authors. In particular, we adapt the GNU GSL B-spline routine gsl_bspline.c adding automated support for quantile knots (in addition to uniform knots), providing missing functionality for derivatives, and for extending the splines beyond their endpoints.
Author: Jeffrey S. Racine [aut, cre], Tristen Hayfield [aut]
Maintainer: Jeffrey S. Racine <racinej@mcmaster.ca>

Diff between np versions 0.70-1 dated 2026-05-02 and 0.70-2 dated 2026-05-15

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More information about np at CRAN
Permanent link

Package llm.api updated to version 0.1.3 with previous version 0.1.1 dated 2026-04-16

Title: Minimal LLM Chat Interface
Description: A minimal-dependency client for Large Language Model chat APIs. Supports 'OpenAI' <https://openai.com/>, 'Anthropic' 'Claude' <https://claude.com/>, 'Moonshot' 'Kimi' <https://www.moonshot.ai/>, 'Ollama' <https://ollama.com/>, and other 'OpenAI'-compatible endpoints. Includes an agent loop with tool use and a 'Model Context Protocol' client <https://modelcontextprotocol.io/>. API design is derived from the 'ellmer' package, reimplemented with only base R, 'curl', and 'jsonlite'.
Author: Troy Hernandez [aut, cre] , cornball.ai [cph], ellmer team [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>

Diff between llm.api versions 0.1.1 dated 2026-04-16 and 0.1.3 dated 2026-05-15

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More information about llm.api at CRAN
Permanent link

Package dvir updated to version 3.4.1 with previous version 3.4.0 dated 2026-04-22

Title: Disaster Victim Identification
Description: Joint DNA-based disaster victim identification (DVI), as described in Vigeland and Egeland (2021) <doi:10.21203/rs.3.rs-296414/v1>. Identification is performed by optimising the joint likelihood of all victim samples and reference individuals. Individual identification probabilities, conditional on all available information, are derived from the joint solution in the form of posterior pairing probabilities. 'dvir' is part of the 'pedsuite' collection of packages for pedigree analysis.
Author: Magnus Dehli Vigeland [aut, cre] , Thore Egeland [aut]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

Diff between dvir versions 3.4.0 dated 2026-04-22 and 3.4.1 dated 2026-05-15

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More information about dvir at CRAN
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Package DRR updated to version 0.0.5 with previous version 0.0.4 dated 2020-02-12

Title: Dimensionality Reduction via Regression
Description: An Implementation of Dimensionality Reduction via Regression using Kernel Ridge Regression.
Author: Guido Kraemer [aut, cre]
Maintainer: Guido Kraemer <guido.kraemer@uni-leipzig.de>

Diff between DRR versions 0.0.4 dated 2020-02-12 and 0.0.5 dated 2026-05-15

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Package vitals updated to version 0.3.0 with previous version 0.2.0 dated 2025-12-01

Title: Large Language Model Evaluation
Description: A port of 'Inspect', a widely adopted 'Python' framework for large language model evaluation. Specifically aimed at 'ellmer' users who want to measure the effectiveness of their large language model-based products, the package supports prompt engineering, tool usage, multi-turn dialog, and model graded evaluations.
Author: Simon Couch [aut, cre] , Max Kuhn [ctb], Hadley Wickham [ctb] , Mine Cetinkaya-Rundel [ctb] , Posit Software, PBC [cph, fnd]
Maintainer: Simon Couch <simon.couch@posit.co>

Diff between vitals versions 0.2.0 dated 2025-12-01 and 0.3.0 dated 2026-05-15

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New package treeSS with initial version 0.1.44
Package: treeSS
Title: Tree-Spatial Scan Statistic for Cluster Detection
Version: 0.1.44
Description: Implements the tree-spatial scan statistic for detecting clusters that combine both spatial and hierarchical structures, as proposed by Cancado et al. (2025) <doi:10.1007/s10651-025-00670-w>. The method extends Kulldorff (1997) <doi:10.1080/03610929708831995> circular spatial scan statistic and the tree-based scan statistic of Kulldorff et al. (2003) <doi:10.1111/1541-0420.00039> by searching for anomalies in both geographic regions and branches of hierarchical trees simultaneously. The package also provides standalone implementations of Kulldorff's circular spatial scan statistic and the tree-based scan statistic. Statistical significance is assessed via Monte Carlo simulation under a Poisson or binomial model, with optional 'OpenMP' parallelization.
License: GPL (>= 3)
URL: https://github.com/allanvc/treeSS
BugReports: https://github.com/allanvc/treeSS/issues
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.0), stats
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, sf
SystemRequirements: GNU make
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-05-12 00:55:05 UTC; allan
Author: Allan Quadros [aut, cre] , Andre L. F. Cancado [aut] , Geiziane S. Oliveira [aut], Luiz H. Duczmal [aut]
Maintainer: Allan Quadros <allanvcq@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-15 20:40:02 UTC

More information about treeSS at CRAN
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New package statMatchLCM with initial version 1.2
Package: statMatchLCM
Title: Statistical Matching Using Latent Class Models
Version: 1.2
Description: Tools for statistical matching based on latent class models. The package implements statistical matching procedures based on latent class models. It allows researchers to perform data integration when no unique identifiers are available by modeling the joint distribution of variables through latent categorical structures. The package supports estimation of latent class models, probabilistic matching between donor and recipient data sets, and generation of synthetic linked data under uncertainty. It is particularly useful in survey research and data fusion applications where combining information from multiple sources is required while preserving statistical properties and accounting for measurement error and missing data mechanisms.
License: GPL-3
Encoding: UTF-8
Imports: nnet, StatMatch
Suggests: NPBayesImputeCat
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-05-11 17:11:33 UTC; woali
Author: Alicja Wolny-Dominiak [aut, cre], Israa Lewaaelhamd [aut], Mohammed Ali Ismail [aut]
Maintainer: Alicja Wolny-Dominiak <woali@ue.katowice.pl>
Repository: CRAN
Date/Publication: 2026-05-15 20:20:08 UTC

More information about statMatchLCM at CRAN
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Package shiny2docker updated to version 0.0.4 with previous version 0.0.3 dated 2025-06-28

Title: Generate Dockerfiles for 'Shiny' Applications
Description: Automates the creation of Dockerfiles for deploying 'Shiny' applications. By integrating with 'renv' for dependency management and leveraging Docker-based solutions, it simplifies the process of containerizing 'Shiny' apps, ensuring reproducibility and consistency across different environments. Additionally, it facilitates the setup of CI/CD pipelines for building Docker images on both GitLab and GitHub.
Author: Vincent Guyader [aut, cre]
Maintainer: Vincent Guyader <vincent@thinkr.fr>

Diff between shiny2docker versions 0.0.3 dated 2025-06-28 and 0.0.4 dated 2026-05-15

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More information about shiny2docker at CRAN
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Package msPCA updated to version 0.3.0 with previous version 0.2.0 dated 2026-01-12

Title: Sparse Principal Component Analysis with Multiple Principal Components
Description: Implements an algorithm for computing multiple sparse principal components of a dataset. The method is based on Cory-Wright and Pauphilet "Sparse PCA with Multiple Principal Components" (2022) <doi:10.48550/arXiv.2209.14790>. The algorithm uses an iterative deflation heuristic with a truncated power method applied at each iteration to compute sparse principal components with controlled sparsity.
Author: Ryan Cory-Wright [aut, cph] , Jean Pauphilet [aut, cre, cph]
Maintainer: Jean Pauphilet <jpauphilet@london.edu>

Diff between msPCA versions 0.2.0 dated 2026-01-12 and 0.3.0 dated 2026-05-15

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More information about msPCA at CRAN
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New package nudibranch with initial version 0.0.1.1
Package: nudibranch
Title: Colour Palettes Inspired by Sea Slugs and Nudibranchs of Sydney
Version: 0.0.1.1
Description: A collection of colour palettes derived from photographs of nudis and sea slugs I have encountered in intertidal zones and shallow rocky reefs around Sydney, Australia. Palettes can be used in base R or with 'ggplot2'.
License: MIT + file LICENSE
Imports: ggplot2
Encoding: UTF-8
URL: https://github.com/nikihubbard/nudibranch
BugReports: https://github.com/nikihubbard/nudibranch/issues
NeedsCompilation: no
Packaged: 2026-05-11 22:27:36 UTC; nikhu
Author: Niki Hubbard [aut, cre]
Maintainer: Niki Hubbard <nik.hubbard@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-15 20:40:09 UTC

More information about nudibranch at CRAN
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New package mighty.metadata with initial version 0.1.0
Package: mighty.metadata
Title: Manage 'CDISC' 'ADaM' Dataset Specifications in 'YAML' Format
Version: 0.1.0
Description: Load, validate, and manipulate Clinical Data Interchange Standards Consortium ('CDISC') Analysis Data Model ('ADaM') dataset metadata stored as 'YAML' files. Metadata files are validated against a JSON schema. Provides functions to inspect and modify columns, parameters, and row-level operations within and across 'ADaM' domains. Designed for use with the 'mighty' framework.
License: Apache License (>= 2)
URL: https://novonordisk-opensource.github.io/mighty.metadata/, https://github.com/NovoNordisk-OpenSource/mighty.metadata
BugReports: https://github.com/NovoNordisk-OpenSource/mighty.metadata/issues
Depends: R (>= 4.1)
Imports: cli, dplyr, glue, purrr, rlang, S7, S7schema (>= 0.1.1), stats, tibble, yaml, zephyr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tidyr, withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-05-11 16:16:55 UTC; oath
Author: Aksel Thomsen [aut, cre], Ari Siggaard Knoph [aut], Matthew Phelps [aut], Giulia Pais [aut], Novo Nordisk A/S [cph]
Maintainer: Aksel Thomsen <oath@novonordisk.com>
Repository: CRAN
Date/Publication: 2026-05-15 20:10:07 UTC

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New package metANN with initial version 0.1.0
Package: metANN
Title: Metaheuristic and Gradient-Based Optimization for Neural Network Training and Continuous Problems
Version: 0.1.0
Description: Provides tools for general-purpose continuous optimization and feed-forward artificial neural network training using metaheuristic and gradient-based optimization algorithms. The package supports benchmark function optimization, regression, binary classification, and multi-class classification with multilayer perceptrons. The package implements several optimization methods, including particle swarm optimization Kennedy and Eberhart (1995) <doi:10.1109/ICNN.1995.488968>, differential evolution Storn and Price (1997) <doi:10.1023/A:1008202821328>, grey wolf optimizer Mirjalili et al. (2014) <doi:10.1016/j.advengsoft.2013.12.007>, secretary bird optimization Fu et al. (2024) <doi:10.1007/s10462-024-10729-y>, and Adam Kingma and Ba (2015) <doi:10.48550/arXiv.1412.6980>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/burakdilber/metANN
BugReports: https://github.com/burakdilber/metANN/issues
NeedsCompilation: no
Packaged: 2026-05-11 19:24:56 UTC; hp
Author: Burak Dilber [aut, cre, cph], A. Firat Oezdemir [aut, ths]
Maintainer: Burak Dilber <burakdilber91@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-15 20:30:07 UTC

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New package mcqAnalysis with initial version 0.1.0
Package: mcqAnalysis
Title: Classical Test Theory Item Analysis for Multiple-Choice Tests
Version: 0.1.0
Description: A unified toolkit for classical test theory (CTT) item analysis of multiple-choice test data, including item difficulty (p-value), item discrimination (point-biserial correlation and upper-lower 27-percent discrimination index), per-distractor analysis (frequency, proportion, and discrimination), and Haladyna's distractor efficiency. A wrapper function returns a tidy 'mcq_analysis' object with print, plot (difficulty-discrimination scatter), and APA-style table methods for direct inclusion in journal manuscripts. Implemented in pure R with no compiled code and minimal dependencies.
License: MIT + file LICENSE
URL: https://github.com/Rafhq1403/mcqAnalysis
BugReports: https://github.com/Rafhq1403/mcqAnalysis/issues
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: stats, graphics, grDevices
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-05-12 07:34:55 UTC; rashedalqahtani
Author: Rashed Alqahtani [aut, cre]
Maintainer: Rashed Alqahtani <rashed.alqahtani@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-15 21:00:02 UTC

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New package islandcodes with initial version 0.1.1
Package: islandcodes
Title: Reference Data and Helpers for Small Island States and Territories
Version: 0.1.1
Description: A curated reference list of countries and territories with classifications for Small Island Developing States (SIDS), sub-national island jurisdictions (SNIJ), World Bank region and income group, and political association. Sub-sovereign cases such as Aruba, Curacao, Bonaire, Sint Maarten, the French overseas territories, and Aaland Islands are represented with disambiguating codes that standard country-code packages often collapse or omit. Provides predicate helpers and a tidy joiner intended to extend rather than replace 'countrycode'. Source data is maintained at <https://github.com/University-of-Aruba/island-research-reference-data> and licensed CC BY 4.0.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: countrycode (>= 1.5.0)
Suggests: dplyr, tibble, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/University-of-Aruba/islandcodes, https://university-of-aruba.github.io/islandcodes/
BugReports: https://github.com/University-of-Aruba/islandcodes/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-11 09:31:26 UTC; Rendell CE
Author: Rendell de Kort [aut, cre] , University of Aruba [cph, fnd] Network)
Maintainer: Rendell de Kort <rendell.dekort@ua.aw>
Repository: CRAN
Date/Publication: 2026-05-15 20:30:14 UTC

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Package hmetad updated to version 0.1.2 with previous version 0.1.1 dated 2026-04-20

Title: Fit the Meta-D' Model of Confidence Ratings Using 'brms'
Description: Implementation of Bayesian regressions over the meta-d' model of psychological data from two alternative forced choice tasks with ordinal confidence ratings. For more information, see Maniscalco & Lau (2012) <doi:10.1016/j.concog.2011.09.021>. The package is a front-end to the 'brms' package, which facilitates a wide range of regression designs, as well as tools for efficiently extracting posterior estimates, plotting, and significance testing.
Author: Kevin O'Neill [aut, cre, cph] , Stephen Fleming [aut, cph]
Maintainer: Kevin O'Neill <kevin.o'neill@ucl.ac.uk>

Diff between hmetad versions 0.1.1 dated 2026-04-20 and 0.1.2 dated 2026-05-15

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New package HausdorffGoF with initial version 0.3.0
Package: HausdorffGoF
Version: 0.3.0
Title: One- And Two-Sample Hausdorff Goodness-of-Fit Test
Description: Computes the test statistic and p-values of the one-sample and two-sample Hausdorff (H) goodness-of-fit tests. The H statistic measures the Hausdorff distance under the Chebyshev (l-infinity) metric, between the two cumulative distribution functions (cdfs) underlying the corresponding one-sample and two-sample null hypothesis. It coincides to the side length of the largest axis-aligned square (hypercube) that can be inscribed between the two cdfs. The following cases are covered: (i) one-sample, univariate; (ii) two-sample univariate; and (iii) two-sample bivariate. Exact one-sample p-values are computed in O(n^2 log n) time via the 'Exact-KS-FFT' method of Dimitrova, Kaishev, and Tan (2020) <doi:10.18637/jss.v095.i10>; two-sample p-values are obtained by permutation. A key advantage of the H test is that its sensitivity can be directed towards the left tail, body, or right tail of the distribution by tuning a scale parameter sigma, and therefore maximizing its power which as sh [...truncated...]
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 0.12.12), KSgeneral, stats, utils, withr
LinkingTo: Rcpp, RcppEigen
License: GPL (>= 3)
URL: https://github.com/fakecloudsjy/HausdorffGoF
Encoding: UTF-8
Copyright: Dimitrina S. Dimitrova, Yun Jia, and Vladimir K. Kaishev own the copyright of the original R and C++ code in this package. Portions of the C++ source code (src/fastCDF.cpp, src/fastCDF.h, src/fastCDFOnSample.cpp, src/fastCDFOnSample.h, src/nDDominanceAlone.cpp) are derived from the StOpt library and are Copyright (C) 2020 EDF - Electricite de France, published under the GNU Lesser General Public License (LGPL-3). See the file inst/COPYRIGHTS for full details.
NeedsCompilation: yes
Packaged: 2026-05-11 22:04:13 UTC; Yun
Author: Dimitrina S. Dimitrova [aut], Yun Jia [aut, cre], Vladimir K. Kaishev [aut]
Maintainer: Yun Jia <yunjia2019@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-15 20:40:14 UTC

More information about HausdorffGoF at CRAN
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Package fastVoteR updated to version 0.0.3 with previous version 0.0.2 dated 2026-04-14

Title: Efficient Voting Methods for Committee Selection
Description: A fast 'Rcpp'-based implementation of polynomially-computable voting theory methods for committee ranking and scoring. The package includes methods such as Approval Voting (AV), Satisfaction Approval Voting (SAV), sequential Proportional Approval Voting (PAV), and sequential Phragmen's Rule. Weighted variants of these methods are also provided, allowing for differential voter influence.
Author: John Zobolas [cre, aut] , Anne-Marie George [ctb]
Maintainer: John Zobolas <bblodfon@gmail.com>

Diff between fastVoteR versions 0.0.2 dated 2026-04-14 and 0.0.3 dated 2026-05-15

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Package EstemPMM updated to version 0.3.2 with previous version 0.3.1 dated 2026-04-07

Title: Polynomial Maximization Method for Non-Gaussian Regression
Description: Implements the Polynomial Maximization Method ('PMM') for parameter estimation in linear and time series models when error distributions deviate from normality. The 'PMM2' variant achieves lower variance parameter estimates compared to ordinary least squares ('OLS') when errors exhibit significant skewness. The 'PMM3' variant (S=3) targets symmetric platykurtic error distributions, reducing variance when excess kurtosis is negative. Includes automatic method selection ('pmm_dispatch'), linear regression, 'AR'/'MA'/'ARMA'/'ARIMA' models, and bootstrap inference. Methodology described in Zabolotnii, Warsza, and Tkachenko (2018) <doi:10.1007/978-3-319-77179-3_75>, Zabolotnii, Tkachenko, and Warsza (2022) <doi:10.1007/978-3-031-03502-9_37>, and Zabolotnii, Tkachenko, and Warsza (2023) <doi:10.1007/978-3-031-25844-2_21>, and Zabolotnii (2025) <doi:10.48550/arXiv.2511.07059>.
Author: Serhii Zabolotnii [aut, cre]
Maintainer: Serhii Zabolotnii <zabolotniua@gmail.com>

Diff between EstemPMM versions 0.3.1 dated 2026-04-07 and 0.3.2 dated 2026-05-15

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Package dados updated to version 0.1.1 with previous version 0.1.0 dated 2022-02-24

Title: Translate Datasets to Portuguese
Description: Este pacote traduz os seguintes conjuntos de dados: 'airlines', 'airports', 'ames_raw', 'AwardsManagers', 'babynames', 'Batting', 'diamonds', 'faithful', 'fueleconomy', 'Fielding', 'flights', 'gapminder', 'gss_cat', 'iris', 'Managers', 'mpg', 'mtcars', 'atmos', 'penguins', 'People, 'Pitching', 'pixarfilms','planes', 'presidential', 'table1', 'table2', 'table3', 'table4a', 'table4b', 'table5', 'vehicles', 'weather', 'who'. English: It provides a Portuguese translated version of the datasets listed above.
Author: Riva Quiroga [aut, cre] , Beatriz Milz [aut] , Sara Mortara [aut] , Andrea Sanchez-Tapia [aut] , Alejandra Andrea Tapia Silva [aut] , Beatriz Maurer Costa [aut], Jean Prado [aut] , Renata Hirota [aut] , William Amorim [aut] , Emmanuelle Rodrigues Nun [...truncated...]
Maintainer: Riva Quiroga <riva.quiroga@uc.cl>

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New package sssvcqr with initial version 0.0.4
Package: sssvcqr
Title: Sparse-Smooth Spatially Varying Coefficient Quantile Regression
Version: 0.0.4
Author: Houjian Hou [aut, cre]
Maintainer: Houjian Hou <beidaihe77@qq.com>
Description: Implements sparse-smooth spatially varying coefficient quantile regression (SS-SVCQR), combining quantile regression of Koenker and Bassett (1978) <doi:10.2307/1913643>, grouped variable selection of Yuan and Lin (2006) <doi:10.1111/j.1467-9868.2005.00532.x>, graph regularization, and the alternating direction method of multipliers of Boyd et al. (2011) <doi:10.1561/2200000016>. The package provides graph-regularized estimation, spatially blocked cross-validation, prediction, diagnostics, and simulation helpers for global-local spatial quantile regression.
License: GPL (>= 3)
URL: https://github.com/Stork343/sssvcqr
BugReports: https://github.com/Stork343/sssvcqr/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: FNN, igraph, Matrix, methods, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-11 12:22:23 UTC; houjian
Repository: CRAN
Date/Publication: 2026-05-15 20:00:02 UTC

More information about sssvcqr at CRAN
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New package oystermapR with initial version 1.4.0
Package: oystermapR
Title: Predict and Map Oyster Growth Suitability from Environmental Data
Version: 1.4.0
Description: Predicts spatial suitability for oyster growth from environmental survey data using Analytic Hierarchy Process (AHP) weighted scoring. Users supply sensor data from Acoustic Doppler Current Profilers (ADCP), Conductivity-Temperature-Depth (CTD) sensors, bathymetric sonar, and sidescan sonar, specify a target species, and receive per-location suitability scores, a 'GeoTIFF' heatmap for 'QGIS', contour lines, and a formatted PDF or HTML report. Supports fourteen species across global aquaculture regions, including Ostrea edulis, Magallana gigas, Crassostrea virginica, Crassostrea hongkongensis, and ten further species; see list_species(). Includes season-aware scoring, tidal height correction, Bayesian tolerance parameter updating from field observations, spatial block cross-validation (Roberts et al., 2017, <doi:10.1111/ecog.02881>), permutation variable importance, wave exposure and sediment stability modules, Harmful Algal Bloom (HAB) risk and anthropogenic disturbance scoring w [...truncated...]
License: GPL (>= 3)
URL: https://github.com/trissyboats/oystermapR
BugReports: https://github.com/trissyboats/oystermapR/issues
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
Imports: dplyr (>= 1.0.0), terra (>= 1.7.18), sf (>= 1.0.0), rlang (>= 1.0.0), cli (>= 3.0.0), stats, utils
Suggests: ggplot2 (>= 3.4.0), testthat (>= 3.0.0), knitr, rmarkdown (>= 2.20), tinytex, httr (>= 1.4.0), jsonlite (>= 1.8.0), ncdf4 (>= 1.19), gstat (>= 2.1.0), sp (>= 1.6.0), lubridate (>= 1.9.0), suncalc (>= 0.5.0), oce (>= 1.7.0)
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-05-11 09:40:42 UTC; home
Author: T Tucker [aut, cre]
Maintainer: T Tucker <tristantucker48@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-15 19:30:02 UTC

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New package coupling with initial version 0.1
Package: coupling
Title: Analysis of Coupling Coordination Degree
Version: 0.1
Description: Implements coupling coordination degree (CCD) models and supports metacoupling analysis following Tang et al. (2021) <doi:10.1016/j.scs.2021.103405>.
License: GPL-3
Encoding: UTF-8
URL: https://stscl.github.io/coupling/, https://github.com/stscl/coupling
BugReports: https://github.com/stscl/coupling/issues
Depends: R (>= 4.1.0)
LinkingTo: Rcpp, RcppThread
Suggests: gdverse, infoxtr, knitr, pc, Rcpp, RcppThread, rmarkdown, sdsfun, spEDM
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-05-11 12:15:48 UTC; dell
Author: Wenbo Lyu [aut, cre, cph]
Maintainer: Wenbo Lyu <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-15 20:00:07 UTC

More information about coupling at CRAN
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Package lobbyR updated to version 0.1.1 with previous version 0.1.0 dated 2026-01-13

Title: Get Federal Lobbying Disclosures
Description: Gives users seeking federal lobbying disclosures an easier way to query the API maintained by the Senate federal lobbying disclosures database <https://lda.gov/api/redoc/v1/> to find out how much companies and other entities are spending to lobby Congress and the federal government. It allows for search terms such as keywords, time periods and entity names. It then attempts to clean, or at least flag, filings that could provide incorrect results when seeking to answer the question: How much is being spent on lobbying our Congress and the administration and what issues do they care about?
Author: Chris Cioffi [aut, cre], Aarushi Sahejpal [aut, ctb]
Maintainer: Chris Cioffi <chrisjcioffi@gmail.com>

Diff between lobbyR versions 0.1.0 dated 2026-01-13 and 0.1.1 dated 2026-05-15

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Package hdcuremodels updated to version 0.0.7 with previous version 0.0.6 dated 2025-12-03

Title: High-Dimensional Cure Models
Description: Provides functions for fitting various penalized parametric and semi-parametric mixture cure models with different penalty functions, testing for a significant cure fraction, and testing for sufficient follow-up as described in Fu et al (2022)<doi:10.1002/sim.9513> and Archer et al (2024)<doi:10.1186/s13045-024-01553-6>. False discovery rate controlled variable selection is provided using model-X knock-offs.
Author: Han Fu [aut], Kellie J. Archer [aut, cre] , Tung Lam Nguyen [rev] , Panagiotis Papastamoulis [rev]
Maintainer: Kellie J. Archer <archer.43@osu.edu>

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Package wARMASVp updated to version 0.2.0 with previous version 0.1.0 dated 2026-04-22

Title: Winsorized ARMA Estimation for Higher-Order Stochastic Volatility Models
Description: Estimation, simulation, hypothesis testing, AR-order selection, and forecasting for univariate higher-order stochastic volatility SV(p) models. Supports Gaussian, Student-t, and Generalized Error Distribution (GED) innovations, with optional leverage effects. Estimation uses closed-form Winsorized ARMA-SV (W-ARMA-SV) moment-based methods that avoid numerical optimization. Hypothesis testing includes Local Monte Carlo (LMC) and Maximized Monte Carlo (MMC) procedures for leverage effects, heavy tails, and autoregressive order. AR-order selection is also available via information criteria (BIC/AIC) using the Kalman-filter quasi-likelihood and the Hannan-Rissanen ARMA residual variance. Forecasting is based on Kalman filtering and smoothing. See Ahsan and Dufour (2021) <doi:10.1016/j.jeconom.2021.03.008>, Ahsan, Dufour, and Rodriguez-Rondon (2025) <doi:10.1111/jtsa.12851>, and Ahsan, Dufour, and Rodriguez-Rondon (2026) <doi:10.34989/swp-2026-8> for details.
Author: Gabriel Rodriguez-Rondon [aut, cre] , Md. Nazmul Ahsan [aut], Jean-Marie Dufour [aut]
Maintainer: Gabriel Rodriguez-Rondon <gabriel.rodriguezrondon@mail.mcgill.ca>

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Package secsse updated to version 3.7.0 with previous version 3.5.0 dated 2025-07-24

Title: Several Examined and Concealed States-Dependent Speciation and Extinction
Description: Simultaneously infers state-dependent diversification across two or more states of a single or multiple traits while accounting for the role of a possible concealed trait. See Herrera-Alsina et al. (2019) <doi:10.1093/sysbio/syy057>.
Author: Leonel Herrera Alsina [aut] , Paul van Els [aut] , Thijs Janzen [ctb] , Hanno Hildenbrandt [ctb] , Pedro Santos Neves [ctb] , Rampal S. Etienne [cre, aut]
Maintainer: Rampal S. Etienne <r.s.etienne@rug.nl>

Diff between secsse versions 3.5.0 dated 2025-07-24 and 3.7.0 dated 2026-05-15

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Package PStrata updated to version 1.0.1 with previous version 1.0.0 dated 2026-05-14

Title: Principal Stratification Analysis in R
Description: Estimating causal effects in the presence of post-treatment confounding using principal stratification. 'PStrata' allows for customized monotonicity assumptions and exclusion restriction assumptions, with automatic full Bayesian inference supported by 'Stan'. The main workflow is PStrataModel() to specify the model, fit() to run MCMC sampling, estimate() to extract potential outcomes, and contrast() to compute causal effects. Visualization tools are provided for diagnosis and interpretation. See Liu and Li (2023) <doi:10.48550/arXiv.2304.02740> for details.
Author: Bo Liu [aut, cre], Fan Li [ctb]
Maintainer: Bo Liu <bo.liu1997@gmail.com>

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Package IOBR updated to version 2.2.1 with previous version 2.2.0 dated 2026-04-22

Title: Immune Oncology Biological Research
Description: Provides six modules for tumor microenvironment (TME) analysis based on multi-omics data. These modules cover data preprocessing, TME estimation, TME infiltrating patterns, cellular interactions, genome and TME interaction, and visualization for TME relevant features, as well as modelling based on key features. It integrates multiple microenvironmental analysis algorithms and signature estimation methods, simplifying the analysis and downstream visualization of the TME. In addition to providing a quick and easy way to construct gene signatures from single-cell RNA-seq data, it also provides a way to construct a reference matrix for TME deconvolution from single-cell RNA-seq data. The analysis pipeline and feature visualization are user-friendly and provide a comprehensive description of the complex TME, offering insights into tumour-immune interactions (Zeng D, et al. (2024) <doi:10.1016/j.crmeth.2024.100910>. Fang Y, et al. (2025) <doi:10.1002/mdr2.70001>).
Author: Dongqiang Zeng [aut], Yiran Fang [aut], Shixiang Wang [aut, cre] , Qingcong Luo [aut], Hongqian Qian [aut]
Maintainer: Shixiang Wang <w_shixiang@163.com>

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Package correspondenceTables updated to version 1.0.2 with previous version 1.0.1 dated 2026-05-12

Title: Creating Correspondence Tables Between Two Statistical Classifications
Description: A candidate correspondence table between two classifications can be created when there are correspondence tables leading from the first classification to the second one via intermediate 'pivot' classifications. The correspondence table between two statistical classifications can be updated when one of the classifications gets updated to a new version.
Author: Vasilis Chasiotis [aut] , Photis Stavropoulos [aut] , Martin Karlberg [aut], Matyas Meszaros [cre], Martina Patone [aut], Erkand Muraku [aut], Clement Thomas [aut], Loic Bienvenu [aut], Mauro Baldacchini [aut], Khadija Sossey-Lallemand [aut], Mark va [...truncated...]
Maintainer: Matyas Meszaros <matyas.meszaros@ec.europa.eu>

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Package binsreg updated to version 2.0 with previous version 1.1 dated 2024-07-23

Title: Binscatter Estimation and Inference
Description: Provides tools for statistical analysis using the binscatter methods developed by Cattaneo, Crump, Farrell and Feng (2024) <https://nppackages.github.io/references/Cattaneo-Crump-Farrell-Feng_2024_AER.pdf>, Cattaneo, Crump, Farrell and Feng (2025) <https://nppackages.github.io/references/Cattaneo-Crump-Farrell-Feng_2025_Stata.pdf> and Cattaneo, Crump, Farrell and Feng (2026) <https://nppackages.github.io/references/Cattaneo-Crump-Farrell-Feng_2026_RESTAT.pdf>. Binscatter provides a flexible way of describing the relationship between two variables based on partitioning/binning of the independent variable of interest. binsreg(), binsqreg() and binsglm() implement binscatter least squares regression, quantile regression and generalized linear regression respectively, with particular focus on constructing binned scatter plots. They also implement robust (pointwise and uniform) inference of regression functions and derivatives thereof. binstest() implements hypothesis test [...truncated...]
Author: Matias D. Cattaneo [aut, cre], Richard K. Crump [aut], Max H. Farrell [aut], Yingjie Feng [aut]
Maintainer: Matias D. Cattaneo <matias.d.cattaneo@gmail.com>

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Package officer updated to version 0.7.5 with previous version 0.7.4 dated 2026-04-24

Title: Manipulation of Microsoft Word and PowerPoint Documents
Description: Access and manipulate 'Microsoft Word', 'RTF' and 'Microsoft PowerPoint' documents from R. The package focuses on tabular and graphical reporting from R; it also provides two functions that let users get document content into data objects. A set of functions lets add and remove images, tables and paragraphs of text in new or existing documents. The package does not require any installation of Microsoft products to be able to write Microsoft files.
Author: David Gohel [aut, cre], Stefan Moog [aut], Mark Heckmann [aut] , ArData [cph], Frank Hangler [ctb] , Liz Sander [ctb] , Anton Victorson [ctb] , Jon Calder [ctb] , John Harrold [ctb] , John Muschelli [ctb] , Bill Denney [ctb] , Nikolai Beck [ctb] , Gr [...truncated...]
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between officer versions 0.7.4 dated 2026-04-24 and 0.7.5 dated 2026-05-15

 DESCRIPTION                               |    8 
 MD5                                       |  260 ++++++++---------
 NAMESPACE                                 |    8 
 NEWS.md                                   |   54 +++
 R/docx_section.R                          |   26 +
 R/fortify_docx.R                          |   16 -
 R/ooxml.R                                 |   20 +
 R/ooxml_run_objects.R                     |   14 
 R/read_xlsx.R                             |  388 ++++++++++++++++++++-----
 R/rtf.R                                   |  457 ++++++++++++++++++++++++++----
 R/shape_properties.R                      |    8 
 R/utils.R                                 |    6 
 README.md                                 |   72 +++-
 man/add_slide.Rd                          |    8 
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 man/block_gg.Rd                           |   24 -
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 man/list_item.Rd                          |   24 -
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 man/ph_remove.Rd                          |    6 
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 man/plot_instr.Rd                         |   24 -
 man/plot_layout_properties.Rd             |   18 -
 man/prop_section.Rd                       |    8 
 man/prop_table.Rd                         |   12 
 man/remove_slide.Rd                       |    8 
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 man/run_autonum.Rd                        |   38 +-
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 man/run_pagebreak.Rd                      |   32 +-
 man/run_reference.Rd                      |   38 +-
 man/run_tab.Rd                            |   32 +-
 man/run_word_field.Rd                     |   51 +--
 man/run_wordtext.Rd                       |   32 +-
 man/section_columns.Rd                    |    8 
 man/set_doc_properties.Rd                 |   12 
 man/set_notes.Rd                          |    8 
 man/shape_properties_tags.Rd              |   20 -
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 man/sp_line.Rd                            |   10 
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 man/str_encode_to_rtf.Rd                  |   20 -
 man/styles_info.Rd                        |   12 
 man/table_colwidths.Rd                    |   12 
 man/table_conditional_formatting.Rd       |   12 
 man/table_layout.Rd                       |   12 
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 man/to_html.Rd                            |   20 -
 man/to_pml.Rd                             |   20 -
 man/to_rtf.Rd                             |   20 -
 man/to_wml.Rd                             |   20 -
 man/unordered_list.Rd                     |   24 -
 man/wml_link_images.Rd                    |   20 -
 man/xlsx_drawing.Rd                       |  288 +++++++++++-------
 man/xlsx_styles.Rd                        |  287 +++++++++---------
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 tests/testthat/test-to_rtf.R              |   78 +++++
 tests/testthat/test-xlsx-misc.R           |  287 ++++++++++++++++++
 134 files changed, 3005 insertions(+), 1659 deletions(-)

More information about officer at CRAN
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Package crs updated to version 0.15-43 with previous version 0.15-42 dated 2026-05-01

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

Diff between crs versions 0.15-42 dated 2026-05-01 and 0.15-43 dated 2026-05-15

 CHANGELOG                                             |   13 +++++++++
 DESCRIPTION                                           |    8 ++---
 MD5                                                   |   14 +++++-----
 README.md                                             |   25 ++++++++++++++++++
 inst/doc/crs_getting_started.html                     |    4 +-
 src/nomad4_src/src/Algos/Mads/SgtelibSearchMethod.cpp |    7 ++---
 src/nomad4_src/src/Eval/ProgressiveBarrier.cpp        |    4 +-
 src/snomadr.cpp                                       |   12 +++++---
 8 files changed, 65 insertions(+), 22 deletions(-)

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Permanent link

Package varian (with last version 0.2.2) was removed from CRAN

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

2016-02-28 0.2.2
2015-07-24 0.2.1

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Package wearables (with last version 0.11.3) was removed from CRAN

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

2026-01-15 0.11.3
2021-12-20 0.8.1
2021-06-30 0.6.2

Permanent link
Package MultinomialCI (with last version 1.2) was removed from CRAN

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

2021-05-11 1.2
2019-09-07 1.1
2012-12-07 1.0

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Package saeMSPE (with last version 1.4) was removed from CRAN

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

2024-11-25 1.4
2024-11-18 1.3
2022-10-21 1.2
2022-09-21 1.1
2022-03-29 1.0

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Package smallarea (with last version 0.1) was removed from CRAN

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

2015-10-05 0.1

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Package e2tree updated to version 1.2.0 with previous version 1.0.0 dated 2026-03-13

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

Diff between e2tree versions 1.0.0 dated 2026-03-13 and 1.2.0 dated 2026-05-15

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 e2tree-1.2.0/e2tree/NEWS.md                                   |  149 ++
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Package decoder updated to version 1.2.3 with previous version 1.2.2 dated 2020-04-22

Title: Decode Coded Variables to Plain Text and the Other Way Around
Description: Main function "decode" is used to decode coded key values to plain text. Function "code" can be used to code plain text to code if there is a 1:1 relation between the two. The concept relies on 'keyvalue' objects used for translation. There are several 'keyvalue' objects included in the areas of geographical regional codes, administrative health care unit codes, diagnosis codes and more. It is also easy to extend the use by arbitrary code sets.
Author: Erik Bulow [aut, cre]
Maintainer: Erik Bulow <eriklgb@gmail.com>

Diff between decoder versions 1.2.2 dated 2020-04-22 and 1.2.3 dated 2026-05-15

 decoder-1.2.2/decoder/data/datalist                                                  |only
 decoder-1.2.3/decoder/DESCRIPTION                                                    |   23 
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 decoder-1.2.3/decoder/NAMESPACE                                                      |   41 
 decoder-1.2.3/decoder/NEWS.md                                                        |   25 
 decoder-1.2.3/decoder/R/as.key.R                                                     |   44 
 decoder-1.2.3/decoder/R/as.keyvalue.R                                                |   74 
 decoder-1.2.3/decoder/R/as.keyvalue.data.frame.R                                     |   54 
 decoder-1.2.3/decoder/R/as.keyvalue.default.R                                        |   54 
 decoder-1.2.3/decoder/R/as.keyvalue.keyvalue.R                                       |    4 
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 decoder-1.2.3/decoder/R/as.value.R                                                   |   46 
 decoder-1.2.3/decoder/R/code.R                                                       |   56 
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 decoder-1.2.3/decoder/R/decode.R                                                     |  257 -
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Package jrSiCKLSNMF updated to version 1.2.4 with previous version 1.2.3 dated 2025-07-11

Title: Multimodal Single-Cell Omics Dimensionality Reduction
Description: Methods to perform Joint graph Regularized Single-Cell Kullback-Leibler Sparse Non-negative Matrix Factorization ('jrSiCKLSNMF', pronounced "junior sickles NMF") on quality controlled single-cell multimodal omics count data. 'jrSiCKLSNMF' specifically deals with dual-assay scRNA-seq and scATAC-seq data. This package contains functions to extract meaningful latent factors that are shared across omics modalities. These factors enable accurate cell-type clustering and facilitate visualizations. Methods for pre-processing, clustering, and mini-batch updates and other adaptations for larger datasets are also included. For further details on the methods used in this package please see Ellis, Roy, and Datta (2023) <doi:10.3389/fgene.2023.1179439>.
Author: Dorothy Ellis [aut, cre] , Susmita Datta [ths], Kenneth Perkins [ctb] , Renaud Gaujoux [ctb]
Maintainer: Dorothy Ellis <ddemoreellis@gmail.com>

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Package wbsd updated to version 1.0.1 with previous version 1.0.0 dated 2020-05-14

Title: Wild Bootstrap Size Diagnostics
Description: Implements the diagnostic "theta" developed in Poetscher and Preinerstorfer (2020) "How Reliable are Bootstrap-based Heteroskedasticity Robust Tests?" <doi:10.48550/arXiv.2005.04089>, which appeared as <doi:10.1017/S0266466622000184> in Econometric Theory , Volume 39 , Issue 4 , August 2023 , pp. 789 - 847. The diagnostic "theta" can be used to detect and weed out bootstrap-based procedures that provably have size equal to one for a given testing problem. The implementation covers a large variety of bootstrap-based procedures, cf. the above mentioned article for details. A function for computing bootstrap p-values is provided.
Author: David Preinerstorfer [aut, cre]
Maintainer: David Preinerstorfer <david.preinerstorfer@wu.ac.at>

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Package BayesSUR updated to version 2.3-2 with previous version 2.3-1 dated 2025-11-16

Title: Bayesian Seemingly Unrelated Regression Models in High-Dimensional Settings
Description: Bayesian seemingly unrelated regression with general variable selection and dense/sparse covariance matrix. The sparse seemingly unrelated regression is described in Bottolo et al. (2021) <doi:10.1111/rssc.12490>, the software paper is in Zhao et al. (2021) <doi:10.18637/jss.v100.i11>, and the model with random effects is described in Zhao et al. (2024) <doi:10.1093/jrsssc/qlad102>.
Author: Marco Banterle [aut], Zhi Zhao [aut, cre], Leonardo Bottolo [ctb], Sylvia Richardson [ctb], Waldir Leoncio [ctb], Alex Lewin [aut], Manuela Zucknick [aut]
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>

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Package tourr updated to version 1.2.7 with previous version 1.2.6 dated 2025-07-13

Title: Tour Methods for Multivariate Data Visualisation
Description: Implements geodesic interpolation and basis generation functions that allow you to create new tour methods from R.
Author: Hadley Wickham [aut, ctb] , Dianne Cook [aut, cre] , Nick Spyrison [ctb] , Ursula Laa [ctb] , H. Sherry Zhang [ctb] , Stuart Lee [ctb]
Maintainer: Dianne Cook <dicook@monash.edu>

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Package RJSONIO updated to version 2.0.5 with previous version 2.0.0 dated 2025-04-05

Title: Serialize R Objects to JSON
Description: Converts R objects to and from JavaScript Object Notation (JSON). The package provides a stable interface for reading JSON from strings, files, and connections, and for serializing common R objects, including vectors, lists, data frames, arrays, environments, and S4 objects. It also exposes parser handlers, callbacks, and S4 methods for applications that need customized JSON processing while preserving established RJSONIO behavior.
Author: Yaoxiang Li [aut, ctb, cre] , CRAN Team [aut], Duncan Temple Lang [aut] , Jonathan Wallace [aut]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>

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Package measureR updated to version 0.0.3 with previous version 0.0.2 dated 2026-02-13

Title: Tools for Educational and Psychological Measurement
Description: 'Provides an interactive toolkit for educational and psychological measurement implemented using the 'shiny' framework. The package supports content validity analysis, dimensionality assessment, and Classical Test Theory using the 'CTT' package (Willse, 2018) <doi:10.32614/CRAN.package.CTT>. Item Response Theory (IRT) analyses are conducted via 'mirt' (Chalmers, 2012) <doi:10.18637/jss.v048.i06>. Exploratory Factor Analysis is performed using 'psych' (Revelle, 2025), while Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) are based on the 'lavaan' framework (Rosseel, 2012) <doi:10.18637/jss.v048.i02>. The CFA/SEM module features interactive model specification, automatic model comparison, modification indices, comprehensive fit diagnostics, path diagram visualization, and HTML report generation. The application allows users to upload data, evaluate statistical models, visualize results, and export outputs through an intuitive graphical interfac [...truncated...]
Author: Hasan Djidu [aut, cre] , Heri Retnawati [ctb]
Maintainer: Hasan Djidu <hasandjidu@gmail.com>

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Package MIRDD updated to version 0.2.3 with previous version 0.2.2 dated 2026-04-21

Title: Diagnostic Tool by Multiple Imputation for Regression Discontinuity Designs
Description: Estimates average treatment effects at the cutoff based on sharp regression discontinuity designs (RDD) and multiple imputation regression discontinuity designs (MIRDD). It provides diagnostic tools for RDD by comparing results with those from MIRDD, as proposed in Takahashi (2023) <doi:10.1080/03610918.2021.1960374>. The package includes datasets from Takahashi (2023) and Takahashi (2026) <doi:10.1016/j.softx.2026.102707>.
Author: Masayoshi Takahashi [aut, cre]
Maintainer: Masayoshi Takahashi <mtakahashi615@g.chuo-u.ac.jp>

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Package hdf5lib updated to version 2.1.1.1 with previous version 2.1.1.0 dated 2026-04-02

Title: Headers and Static Libraries for 'HDF5'
Description: Provides a self-contained, static build of the 'HDF5' (Hierarchical Data Format 5) 'C' library (release 2.1.1) for R package developers. Designed for use in the 'LinkingTo' field, it enables zero-dependency integration by building the library entirely from source during installation. Additionally, it compiles and internally links a comprehensive suite of advanced compression filters and their 'HDF5' plugins (Zstd, LZ4, Blosc/Blosc2, Snappy, ZFP, Bzip2, LZF, Bitshuffle, szip, and gzip). These plugins are integrated out-of-the-box, allowing downstream packages to utilize high-performance compression directly through the standard 'HDF5' API while keeping the underlying third-party headers fully encapsulated. 'HDF5' is developed by The HDF Group <https://www.hdfgroup.org/>.
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd], The HDF Group [ctb, cph] , The Board of Trustees of the University of Illinois [cph] , Jean-loup Gailly [ctb, cph] , Mark Adler [ctb, cph] , Kiyoshi Masui [...truncated...]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

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Package DataSimilarity updated to version 0.4.0 with previous version 0.3.0 dated 2026-02-27

Title: Quantifying Similarity of Datasets and Multivariate Two- And k-Sample Testing
Description: A collection of methods for quantifying the similarity of two or more datasets, many of which can be used for two- or k-sample testing. It provides newly implemented methods as well as wrapper functions for existing methods that enable calling many different methods in a unified framework. The methods were selected from the review and comparison of Stolte et al. (2024) <doi:10.1214/24-SS149>. An empirical comparison of the methods was performed in Stolte et al. (2026) <doi:10.48550/arXiv.2604.11458> for categorical data and in Stolte et al. (2026) <doi:10.48550/arXiv.2604.12327> for numeric data.
Author: Marieke Stolte [aut, cre, cph] , Luca Sauer [aut] , David Alvarez-Melis [ctb] , Nabarun Deb [ctb] , <https://github.com/NabarunD/MultiDistFree.git>), Bodhisattva Sen [ctb] , <https://github.com/NabarunD/MultiDistFree.git>)
Maintainer: Marieke Stolte <marieke.stolte@ibe.med.uni-muenchen.de>

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Package sfsmisc updated to version 1.1-24 with previous version 1.1-23 dated 2025-11-21

Title: Utilities from 'Seminar fuer Statistik' ETH Zurich
Description: Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich, some of which were ported from S-plus in the 1990s. For graphics, have pretty (Log-scale) axes eaxis(), an enhanced Tukey-Anscombe plot, combining histogram and boxplot, 2d-residual plots, a 'tachoPlot()', pretty arrows, etc. For robustness, have a robust F test and robust range(). For system support, notably on Linux, provides 'Sys.*()' functions with more access to system and CPU information. Finally, miscellaneous utilities such as simple efficient prime numbers, integer codes, Duplicated(), toLatex.numeric() and is.whole().
Author: Martin Maechler [aut, cre] , Werner Stahel [ctb] , f.robftest, last, p.scales, p.dnorm), Andreas Ruckstuhl [ctb] , p.profileTraces, p.res.2x), Christian Keller [ctb] , p.tachoPlot), Kjetil Halvorsen [ctb] , ecdf.ksCI), Alain Hauser [ctb] , is.whole, [...truncated...]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package cNORM updated to version 3.5.4 with previous version 3.5.3 dated 2026-05-01

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

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Package reporter updated to version 1.4.7 with previous version 1.4.6 dated 2026-02-07

Title: Creates Statistical Reports
Description: Contains functions to create regulatory-style statistical reports. Originally designed to create tables, listings, and figures for the pharmaceutical, biotechnology, and medical device industries, these reports are generalized enough that they could be used in any industry. Generates text, rich-text, PDF, HTML, and Microsoft Word file formats. The package specializes in printing wide and long tables with automatic page wrapping and splitting. Reports can be produced with a minimum of function calls, and without relying on other table packages. The package supports titles, footnotes, page header, page footers, spanning headers, page by variables, and automatic page numbering.
Author: David Bosak [aut, cre], Bill Huang [aut], Kevin Kramer [ctb], Duong Tran [ctb], Raphael Huang [ctb], Archytas Clinical Solutions [cph]
Maintainer: David Bosak <dbosak01@gmail.com>

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 reporter-1.4.7/reporter/tests/testthat/test-create_table_docx.R  |   10 
 reporter-1.4.7/reporter/tests/testthat/test-docx.R               |  388 +++++++
 reporter-1.4.7/reporter/tests/testthat/test-html.R               |  376 +++++++
 reporter-1.4.7/reporter/tests/testthat/test-page_template_docx.R |   14 
 reporter-1.4.7/reporter/tests/testthat/test-pdf.R                |   28 
 reporter-1.4.7/reporter/tests/testthat/test-pdf2.R               |  264 +++++
 reporter-1.4.7/reporter/tests/testthat/test-rtf.R                |   32 
 reporter-1.4.7/reporter/tests/testthat/test-rtf2.R               |  418 ++++++++
 reporter-1.4.7/reporter/tests/testthat/test-sizing_functions.R   |   78 +
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 reporter-1.4.7/reporter/tests/testthat/test-user.R               |  516 +++++++++-
 reporter-1.4.7/reporter/tests/testthat/test-utilities.R          |   39 
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 119 files changed, 3868 insertions(+), 368 deletions(-)

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