Fri, 24 Jul 2026

Package Matrix updated to version 1.7-6 with previous version 1.7-5 dated 2026-03-21

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

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Package surveyframe updated to version 0.3.4 with previous version 0.3.3 dated 2026-07-11

Title: Survey Instrument Workflows
Description: Supports survey research workflows built around a typed instrument object (the sframe). Features include visual instrument design via a browser-based builder or 'Shiny' studio, export to a self-contained static HTML survey, an embeddable 'Shiny' module, SHA-256 integrity-checked serialisation to the '.sframe' format, multi-page survey rendering, branching logic, response quality checking, scale scoring, psychometric diagnostics, analysis-plan execution, model syntax planning, an interactive response dashboard, codebook generation, and reproducible HTML reporting.
Author: Mohammed Ali Sharafuddin [aut, cre]
Maintainer: Mohammed Ali Sharafuddin <mohammedali.page@gmail.com>

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Package eigencore updated to version 1.0.1 with previous version 1.0.0 dated 2026-07-23

Title: Certified Partial Eigenvalue and Singular Value Computation
Description: Computes the top-k singular triplets or eigenpairs of large sparse and structured matrices: the computation behind principal component analysis on big sparse data, spectral embeddings, and low-rank approximation. Every result carries a numerical certificate with residuals, a backward-error bound, orthogonality loss, and a pass/fail flag, and bounds that can only be estimated are reported as such rather than passed. Centered, scaled, and composed operators are solved through native 'C++' kernels without forming dense matrices. Drop-in replacements for the 'RSpectra' interface are included.
Author: Bradley Buchsbaum [aut, cre, cph]
Maintainer: Bradley Buchsbaum <brad.buchsbaum@gmail.com>

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Package clmplus updated to version 1.1.0 with previous version 1.0.1 dated 2025-07-31

Title: Tool-Box of Chain Ladder Plus Models
Description: Implementation of the age-period-cohort models for the claim development presented in the manuscript 'Replicating and extending chain-ladder via an age-period-cohort structure on the claim development in a run-off triangle' <doi:10.1080/10920277.2025.2496725>.
Author: Gabriele Pittarello [aut, cre, cph] , Munir Hiabu [aut, cph] , Andres Villegas [aut, cph]
Maintainer: Gabriele Pittarello <gabriele.pittarello@sund.ku.dk>

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Package ccpsyc updated to version 0.2.8 with previous version 0.2.6 dated 2022-05-11

Title: Methods for Cross-Cultural Psychology
Description: Combines multiple functions that automate and simplify methods commonly employed in cross-cultural psychology, providing a unified analysis approach for measurement invariance testing, effect sizes for differential item functioning, factor congruence and multi-group reliability. Methods follow Fischer and Karl (2019) <doi:10.3389/fpsyg.2019.01507> and Gunn, Grimm and Edwards (2020) <doi:10.1080/10705511.2019.1689507>.
Author: Johannes Karl [aut, cre]
Maintainer: Johannes Karl <johannes.a.karl@gmail.com>

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Package RESI updated to version 1.4.2 with previous version 1.3.2 dated 2025-07-29

Title: Robust Effect Size Index (RESI) Estimation
Description: Summarize model output using a robust effect size index. The index is introduced in Vandekar, Tao, & Blume (2020, <doi:10.1007/s11336-020-09698-2>). Software paper available at <doi:10.18637/jss.v112.i03>.
Author: Megan Jones [aut], Kaidi Kang [aut], Simon Vandekar [aut, cre], Gina Yu [ctb], Xinyu Zhang [ctb]
Maintainer: Simon Vandekar <simon.vandekar@vumc.org>

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Package LaMa readmission to version 2.1.2 with previous version 2.1.1 dated 2026-05-13

Title: Fast Numerical Maximum Likelihood Estimation for Latent Markov Models
Description: A variety of latent Markov models, including hidden Markov models, hidden semi-Markov models, state-space models and continuous-time variants can be formulated and estimated within the same framework via directly maximising the likelihood function using the so-called forward algorithm. Applied researchers often need custom models that standard software does not easily support. Writing tailored 'R' code offers flexibility but suffers from slow estimation speeds. We address these issues by providing easy-to-use functions (written in 'C++' for speed) for common tasks like the forward algorithm. These functions can be combined into custom models in a Lego-type approach, offering up to 10-20 times faster estimation via standard numerical optimisers. To aid in building fully custom likelihood functions, several vignettes are included that show how to simulate data from and estimate all the above model classes.
Author: Jan-Ole Fischer [aut, cre]
Maintainer: Jan-Ole Fischer <jan-ole.fischer@mailbox.org>

This is a re-admission after prior archival of version 2.1.1 dated 2026-05-13

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 LaMa-2.1.2/LaMa/MD5                                                                                      |  145 +-
 LaMa-2.1.2/LaMa/NEWS.md                                                                                  |   24 
 LaMa-2.1.2/LaMa/R/decoding_functions.R                                                                   |    6 
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 LaMa-2.1.2/LaMa/R/forward_algorithms.R                                                                   |   22 
 LaMa-2.1.2/LaMa/R/mcreport.R                                                                             |    8 
 LaMa-2.1.2/LaMa/R/qreml_functions.R                                                                      |   54 
 LaMa-2.1.2/LaMa/R/residual_functions.R                                                                   |   12 
 LaMa-2.1.2/LaMa/R/stationary_functions.R                                                                 |    7 
 LaMa-2.1.2/LaMa/README.md                                                                                |   24 
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 LaMa-2.1.2/LaMa/inst/doc/HSMMs.R                                                                         |    2 
 LaMa-2.1.2/LaMa/inst/doc/HSMMs.Rmd                                                                       |    2 
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 LaMa-2.1.2/LaMa/inst/doc/Intro_to_LaMa.R                                                                 |    2 
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 LaMa-2.1.2/LaMa/man/ddwell.Rd                                                                            |    6 
 LaMa-2.1.2/LaMa/man/forward.Rd                                                                           |    9 
 LaMa-2.1.2/LaMa/man/forward_g.Rd                                                                         |    9 
 LaMa-2.1.2/LaMa/man/penalty.Rd                                                                           |    4 
 LaMa-2.1.2/LaMa/man/penalty2.Rd                                                                          |    4 
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 LaMa-2.1.2/LaMa/man/pseudo_res.Rd                                                                        |    6 
 LaMa-2.1.2/LaMa/man/qreml.Rd                                                                             |    6 
 LaMa-2.1.2/LaMa/man/skewnorm.Rd                                                                          |    8 
 LaMa-2.1.2/LaMa/man/stateprobs.Rd                                                                        |    2 
 LaMa-2.1.2/LaMa/man/stateprobs_g.Rd                                                                      |    2 
 LaMa-2.1.2/LaMa/man/stateprobs_p.Rd                                                                      |    2 
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 LaMa-2.1.2/LaMa/vignettes/Extensions.Rmd                                                                 |   35 
 LaMa-2.1.2/LaMa/vignettes/HSMMs.Rmd                                                                      |    2 
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Package gerda updated to version 0.8.0 with previous version 0.7.1 dated 2026-07-15

Title: German Election Database (GERDA)
Description: Provides tools to download datasets of German elections covering local, state, federal, mayoral, European Parliament, and county (Kreistag) elections, with federal county-level coverage from 1953 and other families extending through 2025. The package supplies turnout, vote shares, and derived indicators at the municipal and county level, including geographically harmonized datasets that account for changes in municipal boundaries over time and incorporate mail-in voting districts. Bundled data includes county-level INKAR covariates (1995-2022) and municipality-level Zensus 2022 indicators. Data is sourced from <https://github.com/awiedem/german_election_data>.
Author: Hanno Hilbig [aut, cre]
Maintainer: Hanno Hilbig <hhilbig@ucdavis.edu>

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Package BsplineQuantReg updated to version 0.2.1 with previous version 0.2.0 dated 2026-07-21

Title: 'Constrained Quantile Regression with B-Splines'
Description: Quantile regression with B-splines under shape constraints. The initial version with cubic splines is now augmented with splines of degree 1 to 4. Constraints for degrees 3 (monotone) and 4 (monotone and convex) use the Karlin-Studden SOCP characterization for the sign of the polynomial, while other constraints applied at the knots are added as linear problems. The method for cubic splines is described in Abbes (2026) <doi:10.5281/zenodo.17427913>. Other formulations are simple consequences of the other given references. This R implementation is intended for demonstration and prototyping. All B-spline and polynomial functions have been rewritten for consistency. An equivalent Python package is available at <https://pypi.org/project/BsplineQuantRegpy/>.
Author: Alexandre Abbes [aut, cre]
Maintainer: Alexandre Abbes <alexandre.abbes@proton.me>

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Package baRulho updated to version 2.1.7 with previous version 2.1.6 dated 2025-10-24

Title: Quantifying (Animal) Sound Degradation
Description: Intended to facilitate acoustic analysis of (animal) sound propagation experiments, which typically aim to quantify changes in signal structure when transmitted in a given habitat by broadcasting and re-recording animal sounds at increasing distances. The package offers a workflow with functions to prepare the data set for analysis as well as to calculate and visualize several degradation metrics, including blur ratio, signal-to-noise ratio, excess attenuation and envelope correlation among others (Dabelsteen et al 1993 <doi:10.1121/1.406682>).
Author: Marcelo Araya-Salas [aut, cre] , Michael Mahoney [rev] , Dena Clink [rev]
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>

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More information about baRulho at CRAN
Permanent link

Package ggcorrplot updated to version 0.3.0 with previous version 0.2.0 dated 2026-07-08

Title: Visualization of a Correlation Matrix using 'ggplot2'
Description: The 'ggcorrplot' package can be used to visualize easily a correlation matrix using 'ggplot2'. It provides a solution for reordering the correlation matrix and displays the significance level on the plot. It also includes a function for computing a matrix of correlation p-values.
Author: Alboukadel Kassambara [aut, cre], Indrajeet Patil [ctb]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>

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More information about ggcorrplot at CRAN
Permanent link

Package GeoTox updated to version 1.0.1 with previous version 1.0.0 dated 2026-05-19

Title: Spatiotemporal Mixture Risk Assessment
Description: Connecting spatiotemporal exposure to individual and population-level risk via source-to-outcome continuum modeling. The package, methods, and case-studies are described in Messier, Reif, and Marvel (2025) <doi:10.1186/s40246-024-00711-8> and Eccles et al. (2023) <doi:10.1016/j.scitotenv.2022.158905>.
Author: Skylar Marvel [aut, cre] , David Reif [aut] , Kyle Messier [aut] , Spatiotemporal Exposures and Toxicology Group [cph]
Maintainer: Skylar Marvel <skylar.marvel@nih.gov>

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Permanent link

Package ggsurvfit updated to version 1.2.1 with previous version 1.2.0 dated 2025-09-13

Title: Flexible Time-to-Event Figures
Description: Ease the creation of time-to-event (i.e. survival) endpoint figures. The modular functions create figures ready for publication. Each of the functions that add to or modify the figure are written as proper 'ggplot2' geoms or stat methods, allowing the functions from this package to be combined with any function or customization from 'ggplot2' and other 'ggplot2' extension packages.
Author: Daniel D. Sjoberg [aut, cre, cph] , Shreya Sreeram [aut], Mark Baillie [aut], Charlotta Fruechtenicht [aut] , Steven Haesendonckx [aut] , Tim Treis [aut]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

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Package robis updated to version 2.12.0 with previous version 2.11.3 dated 2022-09-24

Title: Ocean Biodiversity Information System (OBIS) Client
Description: Client for the Ocean Biodiversity Information System (<https://obis.org>).
Author: Pieter Provoost [cre, aut] , Samuel Bosch [aut] , Ward Appeltans [ctb] , Stephen Formel [ctb] , OBIS [cph]
Maintainer: Pieter Provoost <pieterprovoost@gmail.com>

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Package LLMR updated to version 0.8.11 with previous version 0.8.10 dated 2026-07-10

Title: Interface for Large Language Model APIs in R
Description: One interface to many large language model providers: a single configuration object and a single calling function serve chat and embedding models alike, so research code does not change when the provider does. The same calls scale to multi-model and multi-condition studies.
Author: Ali Sanaei [aut, cre]
Maintainer: Ali Sanaei <sanaei@uchicago.edu>

Diff between LLMR versions 0.8.10 dated 2026-07-10 and 0.8.11 dated 2026-07-24

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Package DBHC updated to version 0.0.4 with previous version 0.0.3 dated 2022-12-22

Title: Sequence Clustering with Discrete-Output HMMs
Description: Provides an implementation of a mixture of hidden Markov models (HMMs) for discrete sequence data in the Discrete Bayesian HMM Clustering (DBHC) algorithm. The DBHC algorithm is an HMM Clustering algorithm that finds a mixture of discrete-output HMMs while using heuristics based on Bayesian Information Criterion (BIC) to search for the optimal number of HMM states and the optimal number of clusters.
Author: Gabriel Budel [aut, cre], Flavius Frasincar [aut]
Maintainer: Gabriel Budel <gabysp_budel@hotmail.com>

Diff between DBHC versions 0.0.3 dated 2022-12-22 and 0.0.4 dated 2026-07-24

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Package arrayhelpers updated to version 1.1-2 with previous version 1.1-1 dated 2026-07-05

Title: Convenience Functions for Arrays
Description: Some convenient functions to work with arrays.
Author: Claudia Beleites [aut, cre]
Maintainer: Claudia Beleites <Claudia.Beleites@chemometrix.eu>

Diff between arrayhelpers versions 1.1-1 dated 2026-07-05 and 1.1-2 dated 2026-07-24

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Package xplainfi updated to version 1.2.0 with previous version 1.1.0 dated 2026-02-26

Title: Feature Importance Methods for Global Explanations
Description: Provides a consistent interface for common feature importance methods as described in Ewald et al. (2024) <doi:10.1007/978-3-031-63797-1_22>, including permutation feature importance (PFI), conditional and relative feature importance (CFI, RFI), leave one covariate out (LOCO), and Shapley additive global importance (SAGE), as well as feature sampling mechanisms to support conditional importance methods.
Author: Lukas Burk [aut, cre, cph]
Maintainer: Lukas Burk <cran@lukasburk.de>

Diff between xplainfi versions 1.1.0 dated 2026-02-26 and 1.2.0 dated 2026-07-24

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Package GGIR updated to version 3.3-8 with previous version 3.3-6 dated 2026-04-21

Title: Raw Accelerometer Data Analysis
Description: A tool to process and analyse data collected with wearable raw acceleration sensors as described in Migueles and colleagues (JMPB 2019), and van Hees and colleagues (JApplPhysiol 2014; PLoSONE 2015). The package has been developed and tested for binary data from 'GENEActiv' <https://activinsights.com/>, binary (.gt3x) and .csv-export data from 'Actigraph' <https://ametris.com/> devices, and binary (.cwa) and .csv-export data from 'Axivity' <https://axivity.com>. These devices are currently widely used in research on human daily physical activity. Further, the package can handle accelerometer data file from any other sensor brand providing that the data is stored in csv format. Also the package allows for external function embedding.
Author: Vincent T van Hees [aut, cre], Jairo H Migueles [aut] , Samuel T Afolabi [ctb] , Severine Sabia [ctb], Matthew R Patterson [ctb], Zhou Fang [ctb], Joe Heywood [ctb], Joan Capdevila Pujol [ctb], Lena Kushleyeva [ctb], Mathilde Chen [ctb], Manasa Yerra [...truncated...]
Maintainer: Vincent T van Hees <v.vanhees@accelting.com>

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Package expowo updated to version 3.1 with previous version 3.0 dated 2026-02-24

Title: An R Package for Mining Global Plant Diversity and Distribution Data
Description: Produces diversity estimates and species lists with associated global distribution for any vascular plant family and genus from Plants of the World Online database, by interacting with the source code of each plant taxon page. It also creates global maps of species richness, graphics of species discoveries and name changes over time. For more details: 'Zuanny, D.C., B.Vilela, P.W.Moonlight, T.E.Särkinen, and D.Cardoso. 2024. expowo: An R package for mining global plant diversity and distribution data. Applications in Plant Sciences 12: e11609'.
Author: Debora Zuanny [aut, cre, cph] , Domingos Cardoso [aut, ths, cph]
Maintainer: Debora Zuanny <deborazuanny@gmail.com>

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Package BTSR updated to version 1.1.0 with previous version 1.0.2 dated 2026-02-03

Title: Bounded Time Series Regression
Description: Simulate, estimate and forecast a wide range of regression based dynamic models for bounded time series, covering the most commonly applied models in the literature. The main calculations are done in FORTRAN, which translates into very fast algorithms.
Author: Taiane Schaedler Prass [aut, cre, com] , Guilherme Pumi [ctb, aut] , Fabio Mariano Bayer [ctb] , Jack Joseph Dongarra [ctb] ), Cleve Moler [ctb] ), Gilbert Wright Stewart [ctb] ), Ciyou Zhu [ctb] , Richard H. Byrd [ctb] , Jorge Nocedal [ctb] , Jose L [...truncated...]
Maintainer: Taiane Schaedler Prass <taianeprass@gmail.com>

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Package netrics updated to version 0.4.0 with previous version 0.3.1 dated 2026-06-23

Title: Many Ways to Measure and Classify Membership for Networks, Nodes, and Ties
Description: Many tools for calculating network, node, or tie marks, measures, motifs and memberships of many different types of networks. Marks identify structural positions, measures quantify network properties, memberships classify nodes into groups, and motifs tabulate substructure participation. All functions operate with all classes of network data covered in 'manynet', and on directed, undirected, multiplex, multimodal, signed, and other networks.
Author: James Hollway [cre, aut, ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package DrugUtilisation updated to version 1.3.0 with previous version 1.2.1 dated 2026-07-02

Title: Summarise Patient-Level Drug Utilisation in Data Mapped to the OMOP Common Data Model
Description: Summarise patient-level drug utilisation cohorts using data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. New users and prevalent users cohorts can be generated and their characteristics, indication and drug use summarised.
Author: Marti Catala [aut, cre] , Mike Du [ctb] , Yuchen Guo [aut] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Xintong Li [ctb] , Marta Alcalde-Herraiz [ctb] , Nuria Mercade-Besora [aut] , Xihang Chen [aut]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package edgebundle updated to version 1.0.0 with previous version 0.4.2 dated 2023-12-16

Title: Algorithms for Bundling Edges in Networks and Visualizing Flow and Metro Maps
Description: Implements several algorithms for bundling edges in networks and flow and metro map layouts. This includes force directed edge bundling <doi:10.1111/j.1467-8659.2009.01450.x>, a flow algorithm based on Steiner trees<doi:10.1080/15230406.2018.1437359> and a multicriteria optimization method for metro map layouts <doi:10.1109/TVCG.2010.24>.
Author: David Schoch [aut, cre] , Jose Luis Blanco-Claraco [cph]
Maintainer: David Schoch <david@schochastics.net>

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Package VoronoiBiomedPlot updated to version 0.4 with previous version 0.3.2 dated 2026-04-25

Title: Tesselation Visualization Plots for 2D Data
Description: Creates visualization plots for 2D data including ellipse plots, Voronoi tesselation plots, and combined ellipse-Voronoi plots. Designed to visualize class separation in 2D data, raw of from projection techniques like principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA) or others. For more details see Lotsch and Kringel (2026) and Lotsch, J., and Kringel, D. (2026) <doi:10.1371/journal.pone.0333653>.
Author: Jorn Lotsch [aut, cre]
Maintainer: Jorn Lotsch <j.lotsch@em.uni-frankfurt.de>

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Package ridgetorus updated to version 1.1.0 with previous version 1.0.3 dated 2025-07-27

Title: PCA on the Torus via Density Ridges
Description: Implementation of a Principal Component Analysis (PCA) in the torus via density ridge estimation. The main function, ridge_pca(), obtains the relevant density ridge for bivariate sine von Mises and bivariate wrapped Cauchy distribution models and provides the associated scores and variance decomposition. Auxiliary functions for evaluating, fitting, and sampling these models are also provided. The package provides replicability to García-Portugués and Prieto-Tirado (2023) <doi:10.1007/s11222-023-10273-9>.
Author: Eduardo Garcia-Portugues [aut, cre] , Arturo Prieto-Tirado [aut]
Maintainer: Eduardo Garcia-Portugues <edgarcia@est-econ.uc3m.es>

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Package mritc updated to version 0.6.0 with previous version 0.5-3 dated 2023-01-27

Title: MRI Tissue Classification
Description: Implements various methods for tissue classification in magnetic resonance (MR) images of the brain, including normal mixture models and hidden Markov normal mixture models, as outlined in Feng & Tierney (2011) <doi:10.18637/jss.v044.i07>. These methods allow a structural MR image to be classified into gray matter, white matter and cerebrospinal fluid tissue types.
Author: Dai Feng [aut], Luke Tierney [aut], Jon Clayden [cre, aut]
Maintainer: Jon Clayden <code@clayden.org>

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Package clifford updated to version 1.2-0-2 with previous version 1.2-0-1 dated 2026-07-05

Title: Arbitrary Dimensional Clifford Algebras
Description: A suite of routines for Clifford algebras, using the 'Map' class of the Standard Template Library. Canonical reference: Hestenes (1987, ISBN 90-277-1673-0, "Clifford algebra to geometric calculus"). Special cases including Lorentz transforms, quaternion multiplication, and Grassmann algebra, are discussed. Vignettes presenting conformal geometric algebra, quaternions and split quaternions, dual numbers, and Lorentz transforms are included. The package follows 'disordR' discipline.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package rush updated to version 1.2.1 with previous version 1.2.0 dated 2026-07-13

Title: Rapid Asynchronous and Distributed Computing
Description: Package to tackle large-scale problems asynchronously across a distributed network. Employing a database centric model, rush enables workers to communicate tasks and their results over a shared 'Redis' database. Key features include low task overhead, efficient caching, and robust error handling. The package powers the asynchronous optimization algorithms in the 'bbotk' and 'mlr3tuning' packages.
Author: Marc Becker [cre, aut, cph]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package vws updated to version 0.4.0 with previous version 0.3.0 dated 2025-11-11

Title: Vertical Weighted Strips
Description: A reference implementation of the Vertical Weighted Strips method explored by Raim, Livsey, and Irimata (2025) <doi:10.48550/arXiv.2401.09696> for rejection sampling.
Author: Andrew M. Raim [aut, cre]
Maintainer: Andrew M. Raim <andrew.raim@gmail.com>

Diff between vws versions 0.3.0 dated 2025-11-11 and 0.4.0 dated 2026-07-24

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Package rxode2ll updated to version 2.0.16 with previous version 2.0.15 dated 2026-07-17

Title: Log-Likelihood Functions for 'rxode2'
Description: Provides the log-likelihoods with gradients from 'stan' (Carpenter et al (2015), <doi:10.48550/arXiv.1509.07164>) needed for generalized log-likelihood estimation in 'nlmixr2' (Fidler et al (2019) <doi:10.1002/psp4.12445>). This is split of to reduce computational burden of recompiling 'rxode2' (Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>) which runs the 'nlmixr2' models during estimation.
Author: Matthew L. Fidler [aut, cre]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

Diff between rxode2ll versions 2.0.15 dated 2026-07-17 and 2.0.16 dated 2026-07-24

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Package openSkies updated to version 1.3.1 with previous version 1.3.0 dated 2026-01-20

Title: Retrieval, Analysis and Visualization of Air Traffic Data
Description: Provides functionalities and data structures to retrieve, analyze and visualize aviation data. It includes a client interface to the 'OpenSky' API <https://opensky-network.org>. It allows retrieval of flight information, as well as aircraft state vectors.
Author: Rafael Ayala [aut, cre] , Daniel Ayala [aut] , David Ruiz [aut] , Aleix Selles [aut], Pablo Hernandez [aut] , Lara Selles Vidal [aut]
Maintainer: Rafael Ayala <rafaelayalahernandez@gmail.com>

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Package FDOTT updated to version 0.2.0 with previous version 0.1.0 dated 2025-10-01

Title: Optimal Transport Based Testing in Factorial Designs
Description: Perform optimal transport based tests in factorial designs as introduced in Groppe et al. (2025) <doi:10.48550/arXiv.2509.13970> via the FDOTT() function. These tests are inspired by ANOVA and its nonparametric counterparts. They allow for testing linear relationships in factorial designs between finitely supported probability measures on a metric space. Such relationships include equality of all measures (no treatment effect), interaction effects between a number of factors, as well as main and simple factor effects.
Author: Michel Groppe [aut, cre], Linus Niemoeller [aut]
Maintainer: Michel Groppe <michel.groppe@uni-goettingen.de>

Diff between FDOTT versions 0.1.0 dated 2025-10-01 and 0.2.0 dated 2026-07-24

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New package SteadyStateBVAR with initial version 0.1.0
Package: SteadyStateBVAR
Title: Bayesian Vector Autoregressions with Steady-State Priors
Version: 0.1.0
Description: Provides estimation of Bayesian vector autoregression (BVAR) models with steady-state priors via 'Stan', along with functions for unconditional and conditional forecasting, as well as impulse response analysis. For details on the steady-state BVAR model see Villani (2009) <doi:10.1002/jae.1065>.
License: GPL (>= 3)
URL: https://github.com/markjwbecker/SteadyStateBVAR, https://markjwbecker.github.io/SteadyStateBVAR/
Depends: R (>= 3.6.0)
Imports: graphics, grDevices, methods, MTS (>= 1.2.1), Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.32.7), rstantools (>= 2.6.0), stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
Biarch: true
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
BugReports: https://github.com/markjwbecker/SteadyStateBVAR/issues
NeedsCompilation: yes
Packaged: 2026-07-17 10:10:31 UTC; markj
Author: Mark Becker [aut, cre, cph]
Maintainer: Mark Becker <mark.jw.becker@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-24 10:30:10 UTC

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New package SocialFacts with initial version 1.3.0
Package: SocialFacts
Title: Average Attributable Fraction and Other Relevant Social Sciences Indicators
Version: 1.3.0
Description: Compute Average Attributable Fraction (AAF) and produce a GT table with Odds.ratio, Average Marginal Effects and AAF, with confidence interval and p.value. Also compute other metrics such as Yule's Q and Cramer's V. For more details, see Fergusion and al. (2024) <doi:10.1007/s10654-024-01129-1>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: averisk, broom.helpers, dplyr, graphPAF (>= 2.0.1), gt, psych, gtsummary, rcompanion, scales, stats, stringr, weights, questionr, katex, marginaleffects
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/Geminy3/SocialFacts, https://geminy3.github.io/SocialFacts/
BugReports: https://github.com/Geminy3/SocialFacts/issues
NeedsCompilation: no
Packaged: 2026-07-17 10:13:38 UTC; alioscha
Author: Alioscha Massein [aut, cre, cph] , Brice Lefevre [aut]
Maintainer: Alioscha Massein <alioscha.massein@cnrs.fr>
Repository: CRAN
Date/Publication: 2026-07-24 10:30:16 UTC

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New package sillysplines with initial version 1.0.1
Package: sillysplines
Title: Linear Splines to Generate Decision Boundaries
Version: 1.0.1
Description: Create two dimensional datasets with decision boundaries set by linear splines. An HTML widget enables users to draw the splines on a web page and generate a JSON file that can be used to generate datasets.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: htmlwidgets, jsonlite, withr
Suggests: rlang, shiny, testthat (>= 3.0.0)
URL: https://janithwanni.github.io/sillysplines/, https://github.com/janithwanni/sillysplines
BugReports: https://github.com/janithwanni/sillysplines/issues
NeedsCompilation: no
Packaged: 2026-07-17 04:43:08 UTC; jwan0443
Author: Janith Wanniarachchi [aut, cre, cph]
Maintainer: Janith Wanniarachchi <janithcwanni@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-24 10:10:01 UTC

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Permanent link

New package missknn with initial version 1.0.0
Package: missknn
Title: Fast Masked K-Nearest Neighbor Imputation
Version: 1.0.0
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>
Description: Fast masked KNN imputation for tabular data with support for single and multiple imputation.
URL: https://CRAN.R-project.org/package=missknn
BugReports: https://github.com/ielbadisy/missknn/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table, Rcpp, RcppParallel, stats
LinkingTo: Rcpp, RcppParallel
SystemRequirements: GNU make
Suggests: bench, ggplot2, knitr, rmarkdown, mimar, missForest, missRanger, VIM, testthat (>= 3.0.0), roxygen2
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-17 10:58:27 UTC; imad-el-badisy
Repository: CRAN
Date/Publication: 2026-07-24 10:50:02 UTC

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New package livelink with initial version 0.1.0
Package: livelink
Title: Create Shareable Links for 'webR' and 'Shinylive' Environments
Version: 0.1.0
Description: Creates shareable links for 'R' code in 'WebAssembly' (WASM) Read-Eval-Print Loop (REPL) environments like 'webR' <https://webr.r-wasm.org/> and for 'Shiny' applications using 'Shinylive' <https://shinylive.io/>. Supports single scripts, multi-file projects, exercise and solution pairs, and batch processing. Includes encoding, decoding, and previewing of links for both 'R' and 'Python' environments.
License: AGPL (>= 3)
URL: https://r-pkg.thecoatlessprofessor.com/livelink/, https://github.com/coatless-rpkg/livelink
BugReports: https://github.com/coatless-rpkg/livelink/issues
Depends: R (>= 4.1.0)
Imports: base64enc, cli, clipr, jsonlite, lzstring, RcppMsgPack, stats, tools, utils
Suggests: knitr, quarto, testthat (>= 3.0.0), withr
Encoding: UTF-8
SystemRequirements: Quarto command line tools (https://github.com/quarto-dev/quarto-cli).
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2026-07-17 08:50:52 UTC; ronin
Author: James Joseph Balamuta [aut, cre, cph], reprex authors [cph] and trim_common_leading_ws, adapted in R/process-input.R; see inst/COPYRIGHTS)
Maintainer: James Joseph Balamuta <james.balamuta@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-24 10:20:02 UTC

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New package IRTC with initial version 1.1.1
Package: IRTC
Title: Marginal Maximum Likelihood Estimation for Item Response Models
Version: 1.1.1
Date: 2026-07-17
Description: Self-contained marginal maximum likelihood (MML) estimation for unidimensional and multidimensional item response models, including the Rasch / one-parameter logistic, partial credit, rating scale, two-parameter logistic and generalised partial credit models, with latent regression, multiple groups and case weights. A parallelised, dimension-factorised streaming estimation engine supports large between-item (simple-structure) multidimensional models with bounded memory and an opt-in controlled-accuracy quadrature mode that reports a measured approximation error. A usability layer serves non-specialists and automated pipelines: one-stop estimation from common file formats ('Excel', delimited text, 'SPSS', 'Stata', 'SAS') with automatic cleaning and answer-key scoring, pre-estimation data checks, classical item statistics and item fit, plain-language quality ratings, bilingual (English/Chinese) output, spreadsheet exports for item banking and cross-year linking, audience-specific 'Word'/ [...truncated...]
License: GPL (>= 2)
Copyright: See file inst/COPYRIGHTS.
URL: https://github.com/weiandata/IRTC
BugReports: https://github.com/weiandata/IRTC/issues
Depends: R (>= 3.5.0)
Imports: Rcpp, stats, utils, methods, MASS, tools, graphics, grDevices
Suggests: testthat (>= 3.0.0), mvtnorm, sfsmisc, readxl, writexl, haven, openxlsx, officer, jsonlite
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-07-17 09:53:17 UTC; makunxiang
Author: Kunxiang Ma [aut, cre], WEIAN DATA TECH Co., Ltd. [cph, fnd]
Maintainer: Kunxiang Ma <makunxiang@weiandata.com>
Repository: CRAN
Date/Publication: 2026-07-24 10:30:22 UTC

More information about IRTC at CRAN
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New package HighDimenCDM with initial version 0.1.0
Package: HighDimenCDM
Title: Stochastic EM Algorithm for High-Dimensional Cognitive Diagnosis Models
Version: 0.1.0
Author: Yuxuan Mei [aut, cre], Wenchao Ma [aut], Kevin Wang [aut], Gongjun Xu [aut]
Maintainer: Yuxuan Mei <mei00060@umn.edu>
Description: Provides stochastic expectation-maximization (stEM) algorithms for estimating high-dimensional cognitive diagnosis models. The package implements stochastic EM algorithms for cognitive diagnosis models with a large number of attributes. It includes estimation functions and example datasets for model fitting and analysis. The methods are described in Ma, W., Wang, K., and Xu, G. (Accepted). "Parameter estimation of cognitive diagnosis models with stochastic EM algorithm." Behaviometrika.
License: GPL-3
LazyData: TRUE
Depends: R (>= 3.5)
Imports: coda, GDINA, Rcpp (>= 0.12.1)
Suggests:
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-07-17 02:26:55 UTC; meiyuxuan
Repository: CRAN
Date/Publication: 2026-07-24 10:10:05 UTC

More information about HighDimenCDM at CRAN
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Package dexter updated to version 1.8.1 with previous version 1.8.0 dated 2026-07-23

Title: Data Management and Analysis of Tests
Description: A system for the management, assessment, and psychometric analysis of data from educational and psychological tests.
Author: Gunter Maris [aut], Timo Bechger [aut], Jesse Koops [aut, cre], Ivailo Partchev [aut]
Maintainer: Jesse Koops <jesse.koops@cito.nl>

Diff between dexter versions 1.8.0 dated 2026-07-23 and 1.8.1 dated 2026-07-24

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 10 files changed, 68 insertions(+), 65 deletions(-)

More information about dexter at CRAN
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New package bojapi with initial version 0.1.0
Package: bojapi
Title: Access the Bank of Japan Time-Series Data API
Version: 0.1.0
Description: An unofficial, tidy, rate-limited interface to the 'Bank of Japan Time-Series Data Search' API. Search series metadata, retrieve observations by series code or hierarchy, follow pagination automatically, and work with normalized long or wide data frames. The API does not require an API key.
URL: https://github.com/kenjimyzk/bojapi
BugReports: https://github.com/kenjimyzk/bojapi/issues
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Imports: httr2 (>= 1.1.0), tibble
Suggests: knitr, rmarkdown, testthat (>= 3.2.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-17 05:21:41 UTC; root
Author: Kenji Miyazaki [aut, cre]
Maintainer: Kenji Miyazaki <kenjimyzk@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-24 10:20:08 UTC

More information about bojapi at CRAN
Permanent link

Package vismi updated to version 1.0.0 with previous version 0.9.5 dated 2026-02-03

Title: Visual Diagnostics for Multiple Imputation
Description: A comprehensive suite of static and interactive visual diagnostics for assessing the quality of multiply-imputed data obtained from packages such as 'mixgb' and 'mice'. The package supports inspection of distributional characteristics, diagnostics based on masking observed values and comparing them with re-imputed values, and convergence diagnostics.
Author: Yongshi Deng [aut, cre] , Thomas Lumley [ths]
Maintainer: Yongshi Deng <agnes.yongshideng@gmail.com>

Diff between vismi versions 0.9.5 dated 2026-02-03 and 1.0.0 dated 2026-07-24

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New package tts.api with initial version 0.3.0
Package: tts.api
Title: 'OpenAI'-Compatible Text-to-Speech API Client
Version: 0.3.0
Description: A minimal-dependency R client for 'OpenAI'-compatible text-to-speech APIs (see <https://developers.openai.com/api/reference/resources/audio>). Supports 'OpenAI', 'ElevenLabs', local servers ('Chatterbox', 'LM Studio', 'OpenWebUI', 'AnythingLLM'), and the 'chatterbox' package for in-process synthesis. Provides a unified interface for speech synthesis, voice cloning, and voice design with backend-specific parameters.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/cornball-ai/tts.api
BugReports: https://github.com/cornball-ai/tts.api/issues
Imports: curl, jsonlite, tools, utils
Suggests: chatterbox, tinytest, torch
NeedsCompilation: no
Packaged: 2026-07-16 23:07:35 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-07-24 09:40:02 UTC

More information about tts.api at CRAN
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Package transfR updated to version 1.1.18 with previous version 1.1.12 dated 2026-07-20

Title: Transfer of Hydrograph from Gauged to Ungauged Catchments
Description: Provides geomorphology-based hydrological modelling for transferring streamflow measurements from gauged to ungauged catchments. Inverse modelling makes it possible to estimate net rainfall from streamflow measurements following Boudhraâ et al. (2018) <doi:10.1080/02626667.2018.1425801>. The resulting net rainfall is then interpolated to ungauged catchments to simulate streamflow following de Lavenne et al. (2016) <doi:10.1002/2016WR018716>.
Author: Alban de Lavenne [aut, cre] , Christophe Cudennec [ths] , Tom Loree [ctb], Herve Squividant [ctb]
Maintainer: Alban de Lavenne <alban.delavenne@inrae.fr>

Diff between transfR versions 1.1.12 dated 2026-07-20 and 1.1.18 dated 2026-07-24

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Package SPARTAAS readmission to version 1.2.7 with previous version 1.2.6 dated 2026-07-02

Title: Statistical Pattern Recognition and daTing using Archaeological Artefacts assemblageS
Description: Statistical pattern recognition and dating using archaeological artefacts assemblages. Package of statistical tools for archaeology. hclustcompro()/perioclust(): Bellanger Lise, Coulon Arthur, Husi Philippe (2021, ISBN:978-3-030-60103-4). mapclust(): Bellanger Lise, Coulon Arthur, Husi Philippe (2021) <doi:10.1016/j.jas.2021.105431>. seriograph(): Desachy Bruno (2004) <doi:10.3406/pica.2004.2396>. cerardat(): Bellanger Lise, Husi Philippe (2012) <doi:10.1016/j.jas.2011.06.031>.
Author: Arthur Coulon [aut, cre], Lise Bellanger [aut], Philippe Husi [aut], Bruno Desachy [ctb], Benjamin Martineau [ctb]
Maintainer: Arthur Coulon <arthur-coulon@outlook.fr>

This is a re-admission after prior archival of version 1.2.6 dated 2026-07-02

Diff between SPARTAAS versions 1.2.6 dated 2026-07-02 and 1.2.7 dated 2026-07-24

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New package semFromKeys with initial version 0.2.2
Package: semFromKeys
Title: Run 'lavaan' Models from Keys Lists
Version: 0.2.2
Description: Specifying 'lavaan' models manually can be time consuming when multiple similar models are required. The 'semFromKeys' package streamlines the process of running 'lavaan' models by generating model code from simple keys lists and running entire collections of models at once. The package was inspired by the process used in the code for Bainbridge, T. F., Ludeke, S. G., & Smillie, L. D. (2022) <doi:10.1037/pspp0000395>. The package also optionally checks that identical models have not been run on the same data, which saves time when code needs to be run again.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Imports: stringr, lavaan, openssl, withr, tools
Suggests: testthat (>= 3.0.0), here, rstudioapi
URL: https://github.com/timbainbridge/semFromKeys
BugReports: https://github.com/timbainbridge/semFromKeys/issues
NeedsCompilation: no
Packaged: 2026-07-16 23:59:55 UTC; tim
Author: Timothy F. Bainbridge [aut, cre, cph]
Maintainer: Timothy F. Bainbridge <tfbainbridge@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-24 09:40:08 UTC

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New package RAS with initial version 1.0.3
Package: RAS
Title: Regional Association Score for Genome-Wide Association Studies
Version: 1.0.3
Description: Implements the Regional Association Score (RAS) method for genome-wide association studies (GWAS). For each single nucleotide polymorphism (SNP), RAS quantifies the strength of association within its surrounding genomic region, arranges these regional scores along the chromosome into a signal profile, and applies changepoint detection to locate association regions, improving statistical power while controlling the false positive rate. The method is described in Jiang and Zhang (2025) <doi:10.1073/pnas.2419721122>.
License: MIT + file LICENSE
URL: https://github.com/hepingzhangyale/RAS
BugReports: https://github.com/hepingzhangyale/RAS/issues
Encoding: UTF-8
Imports: grDevices, graphics, parallel, segmented, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-07-16 18:12:45 UTC; ianji
Author: Yiran Jiang [aut], Jiahe Jin [aut, cre], Heping Zhang [aut]
Maintainer: Jiahe Jin <jiahe.jin@yale.edu>
Repository: CRAN
Date/Publication: 2026-07-24 09:30:24 UTC

More information about RAS at CRAN
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Package rabhit readmission to version 0.4.0 with previous version 0.2.5 dated 2023-02-06

Title: Inference Tool for Antibody Haplotype
Description: Infers V-D-J (Variable-Diversity-Joining) haplotypes and gene deletions from AIRR-seq (Adaptive Immune Receptor Repertoire sequencing) data for Ig (Immunoglobulin) and TR (T cell Receptor) chains, based on J (Joining), D (Diversity), or V (Variable) genes as anchor, by adapting a Bayesian framework. It also calculates a Bayes factor, a number that indicates the certainty level of the inference, for each haplotyped gene. Citation: Gidoni, et al (2019) <doi:10.1038/s41467-019-08489-3>. Peres and Gidoni, et al (2019) <doi:10.1093/bioinformatics/btz481>.
Author: Ayelet Peres [aut, cre], Moriah Gidoni [aut], Gur Yaari [aut, cph]
Maintainer: Ayelet Peres <ayelet.peres@yale.edu>

This is a re-admission after prior archival of version 0.2.5 dated 2023-02-06

Diff between rabhit versions 0.2.5 dated 2023-02-06 and 0.4.0 dated 2026-07-24

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 rabhit-0.4.0/rabhit/DESCRIPTION                                                                                   |   45 
 rabhit-0.4.0/rabhit/MD5                                                                                           |   86 -
 rabhit-0.4.0/rabhit/NAMESPACE                                                                                     |   45 
 rabhit-0.4.0/rabhit/NEWS.md                                                                                       |   57 
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 rabhit-0.4.0/rabhit/R/functions.R                                                                                 |  152 +-
 rabhit-0.4.0/rabhit/R/graphic_functions.R                                                                         |  701 ++++------
 rabhit-0.4.0/rabhit/R/internal_functions.R                                                                        |  633 +++------
 rabhit-0.4.0/rabhit/R/rabhit.R                                                                                    |   32 
 rabhit-0.4.0/rabhit/README.md                                                                                     |   70 
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 rabhit-0.4.0/rabhit/inst/CITATION                                                                                 |only
 rabhit-0.4.0/rabhit/inst/doc/RAbHIT-vignette.R                                                                    |   52 
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 rabhit-0.4.0/rabhit/man/convertToASC.Rd                                                                           |only
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 rabhit-0.4.0/rabhit/man/plotHaplotype.Rd                                                                          |    8 
 rabhit-0.4.0/rabhit/man/rabhit.Rd                                                                                 |    1 
 rabhit-0.4.0/rabhit/tests                                                                                         |only
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 rabhit-0.4.0/rabhit/vignettes/bibliography.bib                                                                    |    6 
 57 files changed, 915 insertions(+), 973 deletions(-)

More information about rabhit at CRAN
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New package obrasgovr with initial version 0.1.0
Package: obrasgovr
Title: Access the 'ObrasGov' Open Data API
Version: 0.1.0
Description: Provides a modern interface to the Brazilian federal government's 'ObrasGov' open data application programming interface (<https://api-publica.obrasgov.gestao.gov.br>). Retrieves data about public infrastructure projects, physical execution, contracts, commitments, geometries, feasibility studies, and project status histories. Results are returned as tidy tibbles with typed date columns, preserved nested relationships, pagination metadata, and optional multi-page collection.
License: MIT + file LICENSE
URL: https://github.com/StrategicProjects/obrasgovr, https://strategicprojects.github.io/obrasgovr/, https://api-publica.obrasgov.gestao.gov.br/obras/docs
BugReports: https://github.com/StrategicProjects/obrasgovr/issues
Depends: R (>= 4.1.0)
Imports: cli, httr2 (>= 1.2.2), purrr (>= 1.0.0), rlang (>= 1.1.0), tibble (>= 3.2.0)
Suggests: covr, dplyr, knitr, rmarkdown, testthat (>= 3.2.0), tidyr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-16 19:26:18 UTC; leite
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut], Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-07-24 09:30:09 UTC

More information about obrasgovr at CRAN
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New package multiflexscan with initial version 0.1.0
Package: multiflexscan
Title: Information Criterion and Scan Statistic Approach for Detecting Multiple Disease Clusters
Version: 0.1.0
Author: Takahiro Otani [aut, cre] , Kunihiko Takahashi [aut]
Maintainer: Takahiro Otani <t.otani@aichi-cc.jp>
Description: Detecting multiple disease clusters using the information criterion and scan statistic approach developed by Takahashi and Shimadzu (2020) <doi:10.1186/s12942-020-00228-y>.
License: GPL-3
URL: https://github.com/tkhrotn/multiflexscan
BugReports: https://github.com/tkhrotn/multiflexscan/issues
Depends: R (>= 4.0.0)
Imports: doSNOW, foreach, igraph, parallel, rflexscan (>= 1.2.0), utils
Suggests: sf, spdep
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-17 01:30:29 UTC; otani
Repository: CRAN
Date/Publication: 2026-07-24 10:00:08 UTC

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New package MetaEEEA with initial version 1.0.0
Package: MetaEEEA
Title: Metaheuristic Algorithms with Explicit Exploration
Description: Solves single-objective optimization problems by using bio-inspired metaheuristic algorithms. The implemented metaheuristics are the Butterfly Optimization Algorithm, the Ladybug Beetle Optimization Algorithm and the Prairie Dog Optimization Algorithm. For all these optimization algorithms, the search of optimal values can be reinforced with the explicit exploration strategy proposed by Salinas-Gutiérrez and Muñoz Zavala (2023) <doi:10.1016/j.asoc.2023.110230>.
Version: 1.0.0
License: GPL-3
Encoding: UTF-8
Imports: EEEA
Author: Rogelio Salinas Gutierrez [aut, cre, cph] , Cristina Diaz Esquivel [aut, cph] , Angela Maria Gallegos Martinez [aut, cph] , Agustin Moreno Cruz [aut, cph] , Miguel Angel Moreno Urbina [aut, cph] , Pedro Abraham Montoya Calzada [aut, cph] , Carlos Alb [...truncated...]
Maintainer: Rogelio Salinas Gutierrez <rogelio.salinas@edu.uaa.mx>
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-17 01:14:20 UTC; rogel
Repository: CRAN
Date/Publication: 2026-07-24 10:00:26 UTC

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New package heatmapbehavior with initial version 0.1.0
Package: heatmapbehavior
Title: Spatial and Behavioral Analysis of Heatmaps
Version: 0.1.0
Description: Tools for processing heatmap images, removing backgrounds, calculating automatic arena calibration, and extracting behavioral metrics such as thigmotaxis index, Gini behavioral coefficient, and center of mass.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, ggplot2, imager, tidyr, magrittr, rlang
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-16 21:00:04 UTC; natal
Author: Natallia Maia [aut, cre], Isabel Velasco [aut], Thalita Bezerra [aut]
Maintainer: Natallia Maia <natalliavivian8@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-24 09:30:15 UTC

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New package forecastdom with initial version 0.1.0
Package: forecastdom
Title: Tools for (Un)Conditional Forecast Dominance
Version: 0.1.0
Description: A unified toolkit for out-of-sample forecast dominance testing. Covers unconditional and conditional equal and superior predictive ability, encompassing, and nested-model comparison. Implements the Diebold-Mariano test with the Harvey, Leybourne, and Newbold (1997) <doi:10.1016/S0169-2070(96)00719-4> small-sample correction; the Clark-West MSFE-adjusted statistic (Clark and West, 2007) <doi:10.1016/j.jeconom.2006.05.023>; the ENC-NEW encompassing test of Clark and McCracken (2001) <doi:10.1016/S0304-4076(01)00071-9>; the Giacomini-White conditional equal predictive ability test (Giacomini and White, 2006) <doi:10.1111/j.1468-0262.2006.00718.x>; Hansen's superior predictive ability test (Hansen, 2005) <doi:10.1198/073500105000000063>; the conditional superior predictive ability test of Li, Liao, and Quaedvlieg (2022) <doi:10.1093/restud/rdab039>; and the uniform and average multi-horizon SPA tests of Quaedvlieg (2021) <doi:10.1080/07350015.2019.162 [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
LinkingTo: Rcpp
Imports: MASS, Rcpp, stats, ggplot2
Suggests: knitr, R.matlab, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://gabbocg.github.io/forecastdom/, https://github.com/gabbocg/forecastdom
BugReports: https://github.com/gabbocg/forecastdom/issues
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: yes
Packaged: 2026-07-16 21:04:28 UTC; gabbocg
Author: Gabriel Cabrera [aut, cre]
Maintainer: Gabriel Cabrera <gabriel.cabrera.guz@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-24 09:40:14 UTC

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New package cevcmm with initial version 0.1.3
Package: cevcmm
Title: Communication-Efficient Varying Coefficient Mixed-Effects Models
Version: 0.1.3
Description: Scalable inference for Varying Coefficient Mixed-Effects Models (VCMMs) with large, correlated random effects. Implements sufficient-statistics, one-step communication-efficient surrogate likelihood, and SVD-stabilized (Singular Value Decomposition) estimators with Kronecker and separable covariance structures. Implements the methodology of Jalili and Lin (2025) <doi:10.48550/arXiv.2511.12732>.
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://lidajalili.github.io/cevcmm/, https://github.com/lidajalili/cevcmm
BugReports: https://github.com/lidajalili/cevcmm/issues
Depends: R (>= 4.0.0)
Imports: splines, Rcpp (>= 1.0.0)
LinkingTo: Rcpp, RcppArmadillo
Suggests: devtools, microbenchmark, RSpectra, testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2026-07-16 18:10:30 UTC; lidajalili
Author: Lida Jalili [aut, cre], Li-Hsiang Lin [aut]
Maintainer: Lida Jalili <lchalangarjalilideh1@gsu.edu>
Repository: CRAN
Date/Publication: 2026-07-24 09:20:09 UTC

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New package adheaping with initial version 1.0.0
Package: adheaping
Title: Characteristic-Function De-Heaping Density Estimation
Version: 1.0.0
Description: Tuning-free kernel density estimation for heaped and rounded data using a characteristic-function theory of heaping. Rounding to a grid is convolution with a box followed by lattice sampling, so the density is recovered by deconvolving the known box and tapering against a data-driven noise floor. Provides a box-deconvolution de-heaping estimator, a superposition variant, and a single combined estimator selected by a band-capacity gate; blind grid, heaped-fraction, and mixed-grain readers; and a spectral higher-order comb detector. Faithful base-R replicas of the Heitjan-Rubin multiple-imputation and measurement-error deconvolution methods are included for comparison, and the 'Kernelheaping' stochastic expectation-maximization estimator is used when installed.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6)
Imports: stats
Suggests: Kernelheaping, foreign, testthat (>= 3.0.0), knitr, rmarkdown
URL: https://github.com/mitch-thornton/kde-ad-heaping
BugReports: https://github.com/mitch-thornton/kde-ad-heaping/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-16 19:37:08 UTC; root
Author: Mitchell A. Thornton [aut, cre]
Maintainer: Mitchell A. Thornton <mitchat@sbcglobal.net>
Repository: CRAN
Date/Publication: 2026-07-24 09:30:19 UTC

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New package ackwards with initial version 0.1.1
Package: ackwards
Title: Bass-Ackwards Hierarchical Structural Analysis
Version: 0.1.1
Description: Implements Goldberg's (2006) <doi:10.1016/j.jrp.2006.01.001> bass-ackwards method and modern descendants for hierarchical structural analysis. Extracts solutions from 1 to k factors using principal component analysis (PCA), exploratory factor analysis (EFA), or exploratory structural equation modeling (ESEM) engines, then characterizes the hierarchy via between-level factor-score correlations computed via exact linear algebra (Waller, 2007, <doi:10.1016/j.jrp.2006.08.005>) or materialized scores. Includes the Forbes (2023) <doi:10.1037/met0000546> extension for redundancy pruning and all-levels cross-correlations.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, generics, psych, rlang, stats, utils
Suggests: covr, EFAtools, future, future.apply, ggplot2, gt, knitr, lavaan (>= 0.6-13), rmarkdown, testthat (>= 3.0.0)
LazyData: true
VignetteBuilder: knitr
URL: https://jmgirard.github.io/ackwards/, https://github.com/jmgirard/ackwards
BugReports: https://github.com/jmgirard/ackwards/issues
NeedsCompilation: no
Packaged: 2026-07-17 01:28:16 UTC; jmgirard
Author: Jeffrey M. Girard [aut, cre] , Miriam K. Forbes [cph] , CC-BY 4.0)
Maintainer: Jeffrey M. Girard <me@jmgirard.com>
Repository: CRAN
Date/Publication: 2026-07-24 10:00:13 UTC

More information about ackwards at CRAN
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Package Rduckhts updated to version 1.5.0-0.1.0 with previous version 1.4.0-0.1.0 dated 2026-07-10

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>. VariantKey / RegionKey support follows Nicola Asuni (2018) <doi:10.1101/473744>.
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] , Nicola Asuni [cph] , Devon Ryan [cph] , Duc [...truncated...]
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>

Diff between Rduckhts versions 1.4.0-0.1.0 dated 2026-07-10 and 1.5.0-0.1.0 dated 2026-07-24

 DESCRIPTION                                                        |   12 
 MD5                                                                |  333 +
 NAMESPACE                                                          |    4 
 NEWS.md                                                            |  247 +
 R/bootstrap.R                                                      |  125 
 R/duckhts.R                                                        |  206 +
 configure                                                          |   52 
 configure.win                                                      |   47 
 inst/COPYRIGHT                                                     |    6 
 inst/duckhts_extension/bam_bin_counts.c                            |    6 
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 inst/duckhts_extension/bcftools_norm_udf.c                         |   23 
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 inst/duckhts_extension/htslib/annot-tsv.1                          |    2 
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 inst/duckhts_extension/htslib/bgzf.c                               |   39 
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 inst/duckhts_extension/htslib/config.guess                         |   27 
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Package mascarade updated to version 0.4.2 with previous version 0.4.1 dated 2026-07-21

Title: Generating Cluster Masks for Single-Cell Dimensional Reduction Plots
Description: Implements a procedure to automatically generate 2D masks for clusters on dimensional reduction plots from methods like t-SNE (t-distributed stochastic neighbor embedding) or UMAP (uniform manifold approximation and projection), with a focus on single-cell RNA-sequencing data.
Author: Alexey Sergushichev [aut, cre]
Maintainer: Alexey Sergushichev <alsergbox@gmail.com>

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Package factoextra updated to version 2.2.0 with previous version 2.1.0 dated 2026-06-26

Title: Extract and Visualize the Results of Multivariate Data Analyses
Description: Provides easy-to-use functions to extract and visualize the output of multivariate data analyses, including 'PCA' (Principal Component Analysis), 'CA' (Correspondence Analysis), 'MCA' (Multiple Correspondence Analysis), 'FAMD' (Factor Analysis of Mixed Data), 'MFA' (Multiple Factor Analysis), and 'HMFA' (Hierarchical Multiple Factor Analysis) from different R packages. It standardizes coordinates, squared cosines, contributions, and eigenvalues from several analysis backends and produces 'ggplot2'-based factor maps, scree plots, contribution plots, clustering diagnostics, dendrograms, and silhouette plots. It also visualizes two-dimensional 'UMAP' and t-SNE embeddings and adapts precomputed or 'tidymodels' principal-component results for the same plotting interface.
Author: Alboukadel Kassambara [aut, cre] , Fabian Mundt [aut], Laszlo Erdey [ctb]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>

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Package GeoDensityR updated to version 0.2.0 with previous version 0.1.2 dated 2026-06-05

Title: Generate Density Rasters from Polygon and Census Data
Description: Creates continuous density raster surfaces by joining vector spatial layers with tabular data frameworks, normalizing values by ellipsoidal polygon area calculations. Reconciles discrete boundary-constrained census or survey counts with uniform grids. Accepts spatial objects in-memory or via file paths. Methods are based on spatial rasterization workflows implemented in the 'terra' package Hijmans (2025) <https://rspatial.github.io/terra/>.
Author: Sahal Paladan [aut, cre]
Maintainer: Sahal Paladan <sahalpaladan@gmail.com>

Diff between GeoDensityR versions 0.1.2 dated 2026-06-05 and 0.2.0 dated 2026-07-24

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Package DIZutils updated to version 0.1.4 with previous version 0.1.3 dated 2024-11-26

Title: Utilities for 'DIZ' R Package Development
Description: Utility functions used for the R package development infrastructure inside the data integration centers ('DIZ') to standardize and facilitate repetitive tasks such as setting up a database connection or issuing notification messages and to avoid redundancy.
Author: Jonathan M. Mang [aut, cre] , Lorenz A. Kapsner [aut] , Helene Koester [ctb], MIRACUM - Medical Informatics in Research and Care in University Medicine [fnd], Universitaetsklinikum Erlangen, Germany [cph]
Maintainer: Jonathan M. Mang <jonathan.mang@uk-erlangen.de>

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Package BayesRTMB updated to version 0.2.4 with previous version 0.2.3 dated 2026-07-13

Title: Bayesian Inference Using 'RTMB'
Description: Provides tools for Markov chain Monte Carlo (MCMC) and Maximum A Posteriori (MAP) estimation utilizing the 'RTMB' package. It supports various statistical models including generalized linear mixed models, factor analysis, item response theory, and multidimensional unfolding. The package allows users to easily transition between frequentist and Bayesian paradigms using a unified interface. Automatic differentiation and Laplace approximation follow Kristensen et al. (2016) <doi:10.18637/jss.v070.i05>, and MCMC sampling uses the No-U-Turn Sampler described by Hoffman and Gelman (2014) <https://jmlr.org/papers/v15/hoffman14a.html>.
Author: Hiroshi Shimizu [aut, cre]
Maintainer: Hiroshi Shimizu <simizu706@gmail.com>

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Package basemaps updated to version 0.1.1 with previous version 0.0.8 dated 2024-11-01

Title: Accessing Spatial Basemaps in R
Description: A lightweight package to access spatial basemaps from open sources such as 'OpenStreetMap', 'Carto', 'Mapbox' and others in R.
Author: Jakob Schwalb-Willmann [aut, cre]
Maintainer: Jakob Schwalb-Willmann <dev@schwalb-willmann.de>

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Package fuzzystring updated to version 0.0.6 with previous version 0.0.5 dated 2026-03-28

Title: Fast Fuzzy String Joins for Data Frames
Description: Perform fuzzy joins on data frames using approximate string matching. Implements inner, left, right, full, semi, and anti joins with string distance metrics from the 'stringdist' package, including Optimal String Alignment, Levenshtein, Damerau-Levenshtein, Jaro-Winkler, q-gram, cosine, Jaccard, and Soundex. Uses a 'data.table' backend plus compiled 'C++' result assembly to reduce overhead in large joins, while adaptive candidate planning avoids unnecessary distance evaluations in single-column string joins. Suitable for reconciling misspellings, inconsistent labels, and other near-match identifiers while optionally returning the computed distance for each match. Bibliographic references include the 'stringdist' package documentation (2014) <https://CRAN.R-project.org/package=stringdist> and Robinson, D. (2015) <https://github.com/dgrtwo/fuzzyjoin>.
Author: Paul E. Santos Andrade [aut, cre, cph] , David Robinson [ctb]
Maintainer: Paul E. Santos Andrade <paulefrens@gmail.com>

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Package castor updated to version 1.8.6 with previous version 1.8.5 dated 2026-01-21

Title: Efficient Phylogenetics on Large Trees
Description: Efficient phylogenetic analyses on massive phylogenies comprising up to millions of tips. Functions include pruning, rerooting, calculation of most-recent common ancestors, calculating distances from the tree root and calculating pairwise distances. Calculation of phylogenetic signal and mean trait depth (trait conservatism), ancestral state reconstruction and hidden character prediction of discrete characters, simulating and fitting models of trait evolution, fitting and simulating diversification models, dating trees, comparing trees, and reading/writing trees in Newick format. Citation: Louca, Stilianos and Doebeli, Michael (2017) <doi:10.1093/bioinformatics/btx701>.
Author: Stilianos Louca [aut, cre, cph]
Maintainer: Stilianos Louca <louca.research@gmail.com>

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Package brickster updated to version 0.2.14 with previous version 0.2.13 dated 2026-05-20

Title: R Toolkit for 'Databricks'
Description: Collection of utilities that improve using 'Databricks' from R. Primarily functions that wrap specific 'Databricks' APIs (<https://docs.databricks.com/api>), 'RStudio' connection pane support, quality of life functions to make 'Databricks' simpler to use.
Author: Zac Davies [aut, cre], Rafi Kurlansik [aut], Databricks [cph, fnd]
Maintainer: Zac Davies <zac@databricks.com>

Diff between brickster versions 0.2.13 dated 2026-05-20 and 0.2.14 dated 2026-07-24

 DESCRIPTION                                                          |   10 
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 NEWS.md                                                              |   18 
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 R/connection-pane.R                                                  |   14 
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 R/dbfs.R                                                             |    4 
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 R/query-history.R                                                    |    2 
 R/request-helpers.R                                                  |   85 +--
 R/sql-query-execution.R                                              |   24 
 R/uc-catalogs.R                                                      |   21 
 R/uc-schemas.R                                                       |   20 
 R/uc-tables.R                                                        |    7 
 R/uc-volumes.R                                                       |   11 
 R/vector-search.R                                                    |    6 
 R/volume-fs.R                                                        |    5 
 R/warehouses.R                                                       |    2 
 R/workspaces.R                                                       |    2 
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Package mlbench updated to version 2.1-10 with previous version 2.1-9 dated 2026-07-13

Title: Machine Learning Benchmark Problems
Description: A collection of artificial and real-world machine learning benchmark problems, including, e.g., several data sets from the UCI repository.
Author: Friedrich Leisch [aut] , Evgenia Dimitriadou [aut], Kurt Hornik [cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between mlbench versions 2.1-9 dated 2026-07-13 and 2.1-10 dated 2026-07-24

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Package spatstat.geom updated to version 3.8-2 with previous version 3.8-1 dated 2026-05-23

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

Diff between spatstat.geom versions 3.8-1 dated 2026-05-23 and 3.8-2 dated 2026-07-24

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Package loo updated to version 2.10.1 with previous version 2.10.0 dated 2026-06-26

Title: Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models
Description: Efficient approximate leave-one-out cross-validation (LOO) for Bayesian models fit using Markov chain Monte Carlo, as described in Vehtari, Gelman, and Gabry (2017) <doi:10.1007/s11222-016-9696-4>. The approximation uses Pareto smoothed importance sampling (PSIS), a new procedure for regularizing importance weights. As a byproduct of the calculations, we also obtain approximate standard errors for estimated predictive errors and for the comparison of predictive errors between models. The package also provides methods for using stacking and other model weighting techniques to average Bayesian predictive distributions.
Author: Aki Vehtari [aut], Jonah Gabry [cre, aut], Mans Magnusson [aut], Yuling Yao [aut], Paul-Christian Buerkner [aut], Topi Paananen [aut], Andrew Gelman [aut], Ben Goodrich [ctb], Juho Piironen [ctb], Bruno Nicenboim [ctb], Leevi Lindgren [ctb], Visruth S [...truncated...]
Maintainer: Jonah Gabry <jgabry@gmail.com>

Diff between loo versions 2.10.0 dated 2026-06-26 and 2.10.1 dated 2026-07-24

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Package allelematch updated to version 3.0.0 with previous version 2.6.0 dated 2026-07-05

Title: Identifying Unique Multilocus Genotypes where Genotyping Error and Missing Data may be Present
Description: Tools for the identification of unique multilocus genotypes when both genotyping error and missing data may be present. Includes a data pre-screening utility to analyze pairwise locus overlap and protect against underlying mathematical sorting constraints. Targeted for use with large datasets and databases containing multiple samples of each individual (a common situation in conservation genetics, particularly in non-invasive wildlife sampling applications). Functions explicitly incorporate missing data and can tolerate allele mismatches created by genotyping error. If you use this package, please cite the original publication in Molecular Ecology Resources (Galpern et al., 2012), the details for which can be generated using citation('allelematch'). The complete user manual and analytical tutorials are included locally as an R vignette and can be accessed within an active R session using vignette('allelematch').
Author: Paul Galpern [aut], Micheline Manseau [aut], Pete Hettinga [aut], Karen Smith [aut], Paul Wilson [aut], Todd Cross [cre]
Maintainer: Todd Cross <todd.cross@gmail.com>

Diff between allelematch versions 2.6.0 dated 2026-07-05 and 3.0.0 dated 2026-07-24

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