Sat, 25 Jul 2026

Package dispRity updated to version 1.9.12 with previous version 1.9 dated 2024-11-13

Title: Measuring Disparity
Description: A modular package for measuring disparity (multidimensional space occupancy). Disparity can be calculated from any matrix defining a multidimensional space. The package provides a set of implemented metrics to measure properties of the space and allows users to provide and test their own metrics. The package also provides functions for looking at disparity in a serial way (e.g. disparity through time) or per groups as well as visualising the results. Finally, this package provides several statistical tests for disparity analysis.
Author: Thomas Guillerme [aut, cre, cph] , Jack Hatfield [aut, cph], Mark Puttick [aut, cph], Caleb Scutt [aut, cph]
Maintainer: Thomas Guillerme <guillert@tcd.ie>

Diff between dispRity versions 1.9 dated 2024-11-13 and 1.9.12 dated 2026-07-25

 DESCRIPTION                                 |   20 
 MD5                                         |   71 -
 NEWS.md                                     |   61 +
 R/MCMCglmm.subsets.R                        |    3 
 R/chrono.subsets.R                          |   13 
 R/chrono.subsets_fun.R                      |    2 
 R/custom.subsets.R                          |    8 
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 R/dispRity.R                                |    6 
 R/dispRity.covar.projections.R              |    2 
 R/dispRity.metric.R                         |    3 
 R/dispRity.utilities.R                      |   19 
 R/dispRity_fun.R                            |   79 +
 R/multi.ace.R                               | 1266 ++++++++++++++++------------
 R/multi.ace_fun.R                           |  174 ++-
 R/plot.dispRity_fun.R                       |    6 
 R/print.dispRity.R                          |   30 
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 R/sanitizing.R                              |    5 
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 build/partial.rdb                           |binary
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 man/reduce.space.Rd                         |    1 
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 37 files changed, 1161 insertions(+), 707 deletions(-)

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Package usmapdata updated to version 1.1.0 with previous version 1.0.0 dated 2025-08-22

Title: Mapping Data for 'usmap' Package
Description: Provides a container for data used by the 'usmap' package. The data used by 'usmap' has been extracted into this package so that the file size of the 'usmap' package can be reduced greatly. The data in this package will be updated roughly once per year as new map data files are provided by the US Census Bureau.
Author: Paolo Di Lorenzo [aut, cre]
Maintainer: Paolo Di Lorenzo <paolo@dilorenzo.org>

Diff between usmapdata versions 1.0.0 dated 2025-08-22 and 1.1.0 dated 2026-07-25

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 4 files changed, 16 insertions(+), 7 deletions(-)

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Package rotasym updated to version 1.3.1 with previous version 1.2.0 dated 2025-07-27

Title: Tests for Rotational Symmetry on the Hypersphere
Description: Implementation of the tests for rotational symmetry on the hypersphere proposed in García-Portugués, Paindaveine and Verdebout (2020) <doi:10.1080/01621459.2019.1665527>. The package also implements the proposed distributions on the hypersphere, based on the tangent-normal decomposition, and allows for the replication of the data application considered in the paper.
Author: Eduardo Garcia-Portugues [aut, cre] , Davy Paindaveine [aut], Thomas Verdebout [aut]
Maintainer: Eduardo Garcia-Portugues <edgarcia@est-econ.uc3m.es>

Diff between rotasym versions 1.2.0 dated 2025-07-27 and 1.3.1 dated 2026-07-25

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 42 files changed, 845 insertions(+), 909 deletions(-)

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Package quartose updated to version 0.2.0 with previous version 0.1.0 dated 2025-07-09

Title: Dynamically Generate 'Quarto' Syntax
Description: Provides helper functions to work programmatically within a 'Quarto' document. It allows the user to create section headers, tabsets, divs, and spans, and formats these objects into 'Quarto' syntax when printed into a document.
Author: Danielle Navarro [aut, cre, cph]
Maintainer: Danielle Navarro <djnavarro@protonmail.com>

Diff between quartose versions 0.1.0 dated 2025-07-09 and 0.2.0 dated 2026-07-25

 DESCRIPTION                       |   26 ++---
 MD5                               |   32 +++---
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 R/class.R                         |   68 +++++++++----
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 19 files changed, 753 insertions(+), 91 deletions(-)

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Package mlr3viz updated to version 0.11.1 with previous version 0.11.0 dated 2026-02-22

Title: Visualizations for 'mlr3'
Description: Visualization package of the 'mlr3' ecosystem. It features plots for mlr3 objects such as tasks, learners, predictions, benchmark results, tuning instances and filters via the 'autoplot()' generic of 'ggplot2'. The package draws plots with the 'viridis' color palette and applies the minimal theme. Visualizations include barplots, boxplots, histograms, ROC curves, and Precision-Recall curves.
Author: Michel Lang [aut] , Patrick Schratz [aut] , Raphael Sonabend [aut] , Marc Becker [cre, aut] , Jakob Richter [aut] , Damir Pulatov [ctb], John Zobolas [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3viz versions 0.11.0 dated 2026-02-22 and 0.11.1 dated 2026-07-25

 DESCRIPTION                                                                      |    8 
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 NEWS.md                                                                          |    5 
 R/BenchmarkResult.R                                                              |   29 
 R/EnsembleFSResult.R                                                             |   91 
 R/Filter.R                                                                       |   19 
 R/LearnerClassif.R                                                               |   37 
 R/LearnerClassifCVGlmnet.R                                                       |   14 
 R/LearnerClassifGlmnet.R                                                         |   17 
 R/LearnerClassifRpart.R                                                          |   35 
 R/LearnerClustHierarchical.R                                                     |   22 
 R/LearnerRegr.R                                                                  |   42 
 R/LearnerRegrCVGlmnet.R                                                          |   14 
 R/LearnerRegrGlmnet.R                                                            |   14 
 R/LearnerRegrRpart.R                                                             |   27 
 R/OptimInstanceBatchSingleCrit.R                                                 |  164 +
 R/Prediction.R                                                                   |    3 
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 R/Task.R                                                                         |    3 
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 R/TaskClust.R                                                                    |   30 
 R/TaskRegr.R                                                                     |   53 
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 R/as_precrec.R                                                                   |    9 
 R/helper.R                                                                       |    7 
 R/plot_learner_prediction.R                                                      |    8 
 README.md                                                                        |    2 
 build/partial.rdb                                                                |binary
 man/autoplot.BenchmarkResult.Rd                                                  |    9 
 man/autoplot.EnsembleFSResult.Rd                                                 |    6 
 man/autoplot.Filter.Rd                                                           |    2 
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 man/autoplot.ResampleResult.Rd                                                   |    8 
 man/autoplot.TaskClassif.Rd                                                      |    2 
 man/autoplot.TaskClust.Rd                                                        |    2 
 man/autoplot.TaskRegr.Rd                                                         |    2 
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 man/figures/logo.png                                                             |binary
 man/mlr3viz-package.Rd                                                           |    1 
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 man/reexports.Rd                                                                 |    2 
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 tests/testthat/setup.R                                                           |    1 
 tests/testthat/test_BenchmarkResult.R                                            |   30 
 tests/testthat/test_EnsembleFSResult.R                                           |   10 
 tests/testthat/test_LearnerClassif.R                                             |    4 
 tests/testthat/test_LearnerClassifCVGlmnet.R                                     |    4 
 tests/testthat/test_LearnerRegr.R                                                |    1 
 tests/testthat/test_OptimInstanceSingleCrit.R                                    |    3 
 tests/testthat/test_PredictionClust.R                                            |    4 
 tests/testthat/test_ResampleResult.R                                             |   35 
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 71 files changed, 1464 insertions(+), 2135 deletions(-)

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Package mlr3tuning updated to version 1.6.1 with previous version 1.6.0 dated 2026-03-16

Title: Hyperparameter Optimization for 'mlr3'
Description: Hyperparameter optimization package of the 'mlr3' ecosystem. It features highly configurable search spaces via the 'paradox' package and finds optimal hyperparameter configurations for any 'mlr3' learner. 'mlr3tuning' works with several optimization algorithms e.g. Random Search, Iterated Racing, Bayesian Optimization (in 'mlr3mbo') and Hyperband (in 'mlr3hyperband'). Moreover, it can automatically optimize learners and estimate the performance of optimized models with nested resampling.
Author: Marc Becker [cre, aut] , Michel Lang [aut] , Jakob Richter [aut] , Bernd Bischl [aut] , Daniel Schalk [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3tuning versions 1.6.0 dated 2026-03-16 and 1.6.1 dated 2026-07-25

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 mlr3tuning-1.6.1/mlr3tuning/DESCRIPTION                                         |   10 
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Package dqcheckr updated to version 0.3.0 with previous version 0.2.5 dated 2026-07-18

Title: Automated Data Quality Checks for Recurring Dataset Deliveries
Description: Automates quality verification of recurring external dataset deliveries. For each new file arrival, it runs single-snapshot quality checks, compares the file to the previous delivery, writes a self-contained 'HTML' report, and records summary statistics in a local 'SQLite' database for long-term trend tracking. Supports 'CSV' and fixed-width formats. Custom organisation-specific checks can be supplied as plain R files.
Author: Mick Mioduszewski [aut, cre]
Maintainer: Mick Mioduszewski <mick@mioduszewski.net>

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Package Rtinycc updated to version 0.1.15 with previous version 0.1.12 dated 2026-07-19

Title: Builds the 'TinyCC' Command-Line Interface and Library for 'C' Scripting in 'R'
Description: Builds the 'TinyCC' (Tiny 'C' Compiler) command-line interface and library for package use in 'R'. The package compiles 'TinyCC' from source and provides R functions to interact with the compiler. 'TinyCC' can be used for header preprocessing, just-in-time compilation of 'C' code in 'R', and lightweight 'C' scripting workflows.
Author: Sounkou Mahamane Toure [aut, cre], Mike Cheng [cph] , Adam Dunkels [ctb] , Swedish Institute of Computer Science [cph] , Fabrice Bellard and TinyCC authors [cph]
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>

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Package rstantools updated to version 2.7.0 with previous version 2.6.0 dated 2026-01-10

Title: Tools for Developing R Packages Interfacing with 'Stan'
Description: Provides various tools for developers of R packages interfacing with 'Stan' <https://mc-stan.org>, including functions to set up the required package structure, S3 generics and default methods to unify function naming across 'Stan'-based R packages, and vignettes with recommendations for developers.
Author: Jonah Gabry [aut], Ben Goodrich [aut], Martin Lysy [aut], Andrew Johnson [aut, cre], Hamada S. Badr [ctb], Marco Colombo [ctb], Stefan Siegert [ctb], Visruth Srimath Kandali [ctb], Trustees of Columbia University [cph]
Maintainer: Andrew Johnson <andrew.johnson@arjohnsonau.com>

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Package ghclass updated to version 0.4.1 with previous version 0.4.0 dated 2026-05-07

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

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Package RcppParallel updated to version 6.1.0 with previous version 6.0.0 dated 2026-07-23

Title: Parallel Programming Tools for 'Rcpp'
Description: High level functions for parallel programming with 'Rcpp'. For example, the 'parallelFor()' function can be used to convert the work of a standard serial "for" loop into a parallel one and the 'parallelReduce()' function can be used for accumulating aggregate or other values.
Author: Kevin Ushey [aut, cre] , JJ Allaire [aut], Romain Francois [aut, cph], Gregory Vandenbrouck [aut], Marcus Geelnard [aut, cph] , Hamada S. Badr [ctb] , Dirk Eddelbuettel [aut] , Intel [aut, cph] , UXL Foundation [aut, cph] , Microsoft [cph], Posit, PB [...truncated...]
Maintainer: Kevin Ushey <kevin@rstudio.com>

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Package GLmom updated to version 2.0.1 with previous version 2.0.0 dated 2026-07-05

Title: Generalized L-Moments Estimation for Extreme Value Distributions
Description: Provides generalized L-moments estimation methods for the generalized extreme value ('GEV') distribution. Implements both stationary 'GEV' and non-stationary 'GEV11' models where location and scale parameters vary with time. Includes various penalty functions (Martins-Stedinger, Park, Cannon, Coles-Dixon) for shape parameter regularization. Also provides model averaging estimation ('ma.gev') that combines MLE and L-moment methods with multiple weighting schemes for robust high quantile estimation. The 'GLME' methodology is described in Shin et al. (2025a) <doi:10.48550/arXiv.2512.20385>. The non-stationary L-moment method is based on Shin et al. (2025b) <doi:10.1007/s42952-025-00325-3>. The model averaging method is described in Shin et al. (2026) <doi:10.1007/s00477-025-03167-x>. See also Hosking (1990) <doi:10.1111/j.2517-6161.1990.tb01775.x> for L-moments theory and Martins and Stedinger (2000) <doi:10.1029/1999WR900330> for penalized likelihood methods [...truncated...]
Author: Yonggwan Shin [aut, cre] , Seokkap Ko [aut, ctb] , Jihong Park [ctb] , Yire Shin [aut, dtc] , Jeong-Soo Park [aut, ths]
Maintainer: Yonggwan Shin <syg.stat@etri.re.kr>

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More information about GLmom at CRAN
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Package eigencore updated to version 1.0.2 with previous version 1.0.1 dated 2026-07-24

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 ctreeMI updated to version 0.3.0 with previous version 0.2.0 dated 2026-07-23

Title: Conditional Inference Trees with Stacked Multiple Imputation
Description: Implements the stacked-imputation workflow for conditional inference trees ('ctree') described in Sherlock et al. (2026) <doi:10.1080/00273171.2026.2661244>. When data contain missing values, multiply imputed datasets (e.g., from 'mice') are stacked vertically and a single 'ctree' is fit on the combined data. To correct for the artificially inflated sample size introduced by stacking, each node-level test statistic is divided by the number of imputations M and its p-value recomputed before nodes are pruned (the Stack/M correction), producing a conservative but interpretable single tree that incorporates imputation uncertainty without requiring pooling of structurally different trees. Also exports stack_imputations(), rescale_statistic() and prune_stackM() as standalone utilities. The underlying 'ctree' algorithm is provided by 'partykit' (Hothorn & Zeileis, 2015; Hothorn, Hornik & Zeileis, 2006 <doi:10.1198/106186006X133933>).
Author: Phillip Sherlock [aut, cre]
Maintainer: Phillip Sherlock <phillip.sherlock@ufl.edu>

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Package picasso updated to version 2.0.1 with previous version 1.5 dated 2026-03-12

Title: Sparse Learning with Convex and Concave Penalties
Description: Fast regularization paths for sparse Gaussian, binomial, Poisson, square-root-lasso, and multinomial models with lasso, smoothly clipped absolute deviation, or minimax concave penalties. Computation uses pathwise coordinate optimization, active-set updates, warm starts, screening rules, Proximal Newton iterations, quadratic majorization, and adaptive local linear approximation where appropriate. Core solvers are implemented in C++, and coefficient paths are returned as Matrix-compatible objects.
Author: Jason Ge [aut], Xingguo Li [aut], Haoming Jiang [aut], Mengdi Wang [aut], Tong Zhang [aut], Han Liu [aut], Tuo Zhao [aut, cre], Gael Guennebaud [ctb] , Benoit Jacob [ctb] , Eigen Library Authors [cph]
Maintainer: Tuo Zhao <tourzhao@gatech.edu>

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 picasso-2.0.1/picasso/DESCRIPTION                                                                        |   28 
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 picasso-2.0.1/picasso/NAMESPACE                                                                          |   31 
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 picasso-2.0.1/picasso/inst/COPYRIGHTS                                                                    |    1 
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 picasso-2.0.1/picasso/src/include/eigen3/Eigen/Core                                                      |  381 
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 picasso-2.0.1/picasso/src/include/eigen3/Eigen/QR                                                        |    5 
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 picasso-2.0.1/picasso/src/include/eigen3/Eigen/SparseLU                                                  |    4 
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More information about picasso at CRAN
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Package couplr updated to version 1.5.3 with previous version 1.5.0 dated 2026-07-19

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

Diff between couplr versions 1.5.0 dated 2026-07-19 and 1.5.3 dated 2026-07-25

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Package bWGR updated to version 2.2.18 with previous version 2.2.17 dated 2025-12-11

Title: Bayesian Whole-Genome Regression
Description: Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, single step (<doi:10.1534/g3.119.400728>), univariate and multivariate (<doi:10.1186/s12711-022-00730-w>, <doi:10.1093/genetics/iyae179>), with optional kernel term and sampling techniques (<doi:10.1186/s12859-017-1582-3>).
Author: Alencar Xavier [aut, cre] , William Muir [aut], David Habier [aut], Kyle Kocak [aut], Shizhong Xu [aut], Katy Rainey [aut]
Maintainer: Alencar Xavier <alenxav@gmail.com>

Diff between bWGR versions 2.2.17 dated 2025-12-11 and 2.2.18 dated 2026-07-25

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Package RcppArmadillo updated to version 15.4.2-1 with previous version 15.4.0-1 dated 2026-06-19

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library aiming towards a good balance between speed and ease of use. It provides high-level syntax and functionality deliberately similar to Matlab. It is useful for algorithm development directly in C++, or quick conversion of research code into production environments. It provides efficient classes for vectors, matrices and cubes where dense and sparse matrices are supported. Integer, floating point and complex numbers are supported. A sophisticated expression evaluator (based on template meta-programming) automatically combines several operations to increase speed and efficiency. Dynamic evaluation automatically chooses optimal code paths based on detected matrix structures. Matrix decompositions are provided through integration with LAPACK, or one of its high performance drop-in replacements (such as 'MKL' or 'OpenBLAS'). It can automatically use 'OpenMP' multi-threading (parallelisation) to speed up computationally expensive operations [...truncated...]
Author: Dirk Eddelbuettel [aut, cre] , Romain Francois [aut] , Doug Bates [aut] , Binxiang Ni [aut], Conrad Sanderson [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 15.4.0-1 dated 2026-06-19 and 15.4.2-1 dated 2026-07-25

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Package polykde updated to version 1.2.0 with previous version 1.1.7 dated 2025-07-27

Title: Polyspherical Kernel Density Estimation
Description: Kernel density estimation on the polysphere, (hyper)sphere, and circle. Includes functions for density estimation, regression estimation, ridge estimation, bandwidth selection, kernels, samplers, and homogeneity tests. Companion package to García-Portugués and Meilán-Vila (2025) <doi:10.1080/01621459.2025.2521898> and García-Portugués and Meilán-Vila (2023) <doi:10.1007/978-3-031-32729-2_4>.
Author: Eduardo Garcia-Portugues [aut, cre] , Andrea Meilan-Vila [ctb]
Maintainer: Eduardo Garcia-Portugues <edgarcia@est-econ.uc3m.es>

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Package textreuse updated to version 1.0.2 with previous version 1.0.1 dated 2026-05-07

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

Diff between textreuse versions 1.0.1 dated 2026-05-07 and 1.0.2 dated 2026-07-25

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Package cumulcalib updated to version 0.1.0 with previous version 0.0.1 dated 2024-06-13

Title: Cumulative Calibration Assessment for Prediction Models
Description: Tools for visualization of, and inference on, the calibration of prediction models on the cumulative domain. This provides a method for evaluating calibration of risk prediction models without having to group the data or use tuning parameters (e.g., loess bandwidth). This package implements the methodology described in Sadatsafavi and Petkau (2024) <doi:10.1002/sim.10138>. The core of the package is cumulcalib(), which takes in vectors of binary responses and predicted risks. The package also implements non-parametric assessment of the calibration of individualized treatment effect (ITE) models using data from a randomized trial, via cumulcalibITE(), as described in Sadatsafavi et al. (2025) <doi:10.48550/arXiv.2512.08140>. The plot() and summary() methods are implemented for the results returned by cumulcalib() and cumulcalibITE().
Author: Mohsen Sadatsafavi [aut, cre]
Maintainer: Mohsen Sadatsafavi <mohsen.sadatsafavi@ubc.ca>

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Package palimpsestr updated to version 0.24.0 with previous version 0.10.0 dated 2026-04-09

Title: Probabilistic Decomposition of Archaeological Palimpsests
Description: Probabilistic framework for the analysis of archaeological palimpsests based on the Stratigraphic Entanglement Field (SEF). Integrates spatial proximity, stratigraphic depth, chronological overlap, and cultural similarity to estimate latent depositional phases via diagonal Gaussian mixture Expectation-Maximisation (EM). Provides the Stratigraphic Entanglement Index (SEI), Excavation Stratigraphic Energy (ESE), and Palimpsest Dissolution Index (PDI) for quantifying depositional coherence, detecting intrusive finds, and measuring palimpsest formation. Includes simulation, diagnostics, phase-count selection, publication-quality plots, and Geographic Information System (GIS) export via 'sf'. Methods are described in Cocca (2026) <https://github.com/enzococca/palimpsestr>.
Author: Enzo Cocca [aut, cre]
Maintainer: Enzo Cocca <enzo.ccc@gmail.com>

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Package IDConverter readmission to version 0.4.0 with previous version 0.3.4 dated 2023-03-14

Title: Convert Identifiers in Biological Databases
Description: Identifiers in biological databases connect different levels of metadata, phenotype data or genotype data. This tool is designed to easily convert identifiers within or between different biological databases (Wang, Shixiang, et al. (2021) <DOI:10.1371/journal.pgen.1009557>).
Author: Shixiang Wang [aut, cre]
Maintainer: Shixiang Wang <w_shixiang@163.com>

This is a re-admission after prior archival of version 0.3.4 dated 2023-03-14

Diff between IDConverter versions 0.3.4 dated 2023-03-14 and 0.4.0 dated 2026-07-25

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Package colleyRstats updated to version 0.1.4 with previous version 0.1.3 dated 2026-07-16

Title: Functions to Streamline Statistical Analysis and Reporting
Description: Built upon popular R packages such as 'ggstatsplot' and 'ARTool', this collection offers a wide array of tools for simplifying reproducible analyses, generating high-quality visualizations, and producing 'APA'-compliant outputs. The primary goal of this package is to significantly reduce repetitive coding efforts, allowing you to focus on interpreting results. Whether you're dealing with ANOVA assumptions, reporting effect sizes, or creating publication-ready visualizations, this package makes these tasks easier.
Author: Mark Colley [aut, cre, cph]
Maintainer: Mark Colley <mark.colley@yahoo.de>

Diff between colleyRstats versions 0.1.3 dated 2026-07-16 and 0.1.4 dated 2026-07-25

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Package PatientProfiles updated to version 1.6.0 with previous version 1.5.0 dated 2026-02-24

Title: Identify Characteristics of Patients in the OMOP Common Data Model
Description: Identify the characteristics of patients in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model.
Author: Marti Catala [aut, cre] , Yuchen Guo [aut] , Mike Du [aut] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Nuria Mercade-Besora [aut] , Xintong Li [ctb] , Xihang Chen [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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More information about PatientProfiles at CRAN
Permanent link

Package mlr3tuningspaces updated to version 0.7.0 with previous version 0.6.0 dated 2025-05-16

Title: Search Spaces for 'mlr3'
Description: Collection of search spaces for hyperparameter optimization in the 'mlr3' ecosystem. It features ready-to-use search spaces for many popular machine learning algorithms. The search spaces are from scientific articles and work for a wide range of data sets.
Author: Marc Becker [cre, aut] , Michel Lang [ctb]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package mlr3learners updated to version 0.15.1 with previous version 0.15.0 dated 2026-06-09

Title: Recommended Learners for 'mlr3'
Description: Recommended Learners for 'mlr3'. Extends 'mlr3' with interfaces to essential machine learning packages on CRAN. This includes, but is not limited to: (penalized) linear and logistic regression, linear and quadratic discriminant analysis, k-nearest neighbors, naive Bayes, support vector machines, and gradient boosting.
Author: Michel Lang [aut] , Quay Au [aut] , Stefan Coors [aut] , Patrick Schratz [aut] , Marc Becker [cre, aut] , John Zobolas [aut] , Alexander Winterstetter [ctb], Toby Hocking [ctb]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package mlr3hyperband updated to version 1.1.1 with previous version 1.1.0 dated 2026-03-17

Title: Hyperband for 'mlr3'
Description: Successive Halving (Jamieson and Talwalkar (2016) <doi:10.48550/arXiv.1502.07943>) and Hyperband (Li et al. 2018 <doi:10.48550/arXiv.1603.06560>) optimization algorithm for the mlr3 ecosystem. The implementation in mlr3hyperband features improved scheduling and parallelizes the evaluation of configurations. The package includes tuners for hyperparameter optimization in mlr3tuning and optimizers for black-box optimization in bbotk.
Author: Marc Becker [aut, cre] , Sebastian Gruber [aut] , Jakob Richter [aut] , Julia Moosbauer [aut] , Bernd Bischl [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package psgc updated to version 0.1.2 with previous version 0.1.0 dated 2026-05-13

Title: Philippine Standard Geographic Code
Description: Provides access to the Philippine Standard Geographic Code (PSGC), an official classification system for geographic areas in the Philippines published by the Philippine Statistics Authority (PSA). Includes area names, geographic levels (Region, Province, City, Municipality, Sub-Municipality, and Barangay), and census population figures across multiple PSA publication releases. Offers utilities to look up individual codes, filter by geographic level, track code changes across releases via a built-in crosswalk, and retrieve population data in long or wide format.
Author: Bhas Abdulsamad [aut, cre, cph]
Maintainer: Bhas Abdulsamad <aeabdulsamad@gmail.com>

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Package dqcheckrGUI updated to version 0.2.2 with previous version 0.2.0 dated 2026-06-29

Title: Point-and-Click GUI Client for 'dqcheckr'
Description: A graphical user interface for the 'dqcheckr' package. Provides a point-and-click 'shiny' application for configuring dataset quality checks, running them against recurring file deliveries, and browsing historical check results — without writing any R code. The package is feature-complete and is now maintained for corrections only; configuration features are developed in 'dqcheckr' itself, which offers a script-based workflow that does not need this interface.
Author: Mick Mioduszewski [aut, cre]
Maintainer: Mick Mioduszewski <mick@mioduszewski.net>

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

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2025-07-29 1.3.5
2024-04-04 1.3.4
2023-01-26 1.3.3
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2020-11-27 1.3.0

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Package iNZightPlots (with last version 2.16.0) was removed from CRAN

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2025-06-09 2.16.0
2023-10-14 2.15.3
2023-01-31 2.15.1
2022-01-24 2.14.0
2021-07-01 2.13.3
2021-06-26 2.13.2
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Package crunch (with last version 1.31.2) was removed from CRAN

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2026-06-15 1.31.2
2025-08-19 1.31.1
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2024-01-17 1.30.4
2023-08-30 1.30.3
2023-03-22 1.30.2
2022-11-16 1.30.1
2022-05-02 1.30.0
2022-04-07 1.29.1
2022-01-27 1.29.0
2021-11-10 1.28.2
2021-08-13 1.28.1
2021-04-05 1.28.0
2021-02-02 1.27.7
2020-09-15 1.27.5
2020-07-22 1.27.0
2020-03-12 1.26.3
2020-02-10 1.26.2
2019-06-07 1.26.1
2019-04-02 1.26.0
2019-01-10 1.25.0
2018-09-12 1.24.0
2018-06-22 1.23.0
2018-05-02 1.22.0
2018-02-02 1.20.0
2017-11-14 1.19.0
2017-10-12 1.18.4
2017-08-23 1.18.0
2017-06-06 1.17.0
2017-04-17 1.16.0
2017-03-23 1.15.2
2017-02-23 1.15.0
2017-01-20 1.14.4
2016-11-22 1.14.2
2016-08-10 1.12.2
2016-06-30 1.10.4
2016-04-07 1.9.4
2016-02-22 1.8.0
2015-12-14 1.7.3
2015-11-19 1.6.1
2015-08-04 1.4.2
2015-06-18 1.3.2
2015-05-26 1.2.1
2015-04-20 1.1.1
2015-04-16 1.1.0
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Package iNZightTools (with last version 2.0.3) was removed from CRAN

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2023-10-12 2.0.1
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2022-08-22 1.12.3
2022-01-18 1.12.2
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2021-06-30 1.11.1
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2020-12-14 1.10
2020-07-29 1.9.0
2020-05-19 1.8.5
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Package statcanR updated to version 0.3.9 with previous version 0.3.0 dated 2026-07-17

Title: Client for Statistics Canada's Open Economic Data
Description: Provides an R client for Statistics Canada's Web Data Service. Users can describe the data they need in natural language, search the official table catalogue, and download complete data tables in English or French as data frames. Tables formerly known as CANSIM tables are identified by Product IDs. Warin (2024) <doi:10.5070/T5.1868>.
Author: Thierry Warin [aut, cre]
Maintainer: Thierry Warin <thierry.warin@hec.ca>

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Package rtide updated to version 0.0.12 with previous version 0.0.11 dated 2024-11-20

Title: Tide Heights
Description: Calculates tide heights based on tide station harmonics. It includes the harmonics data for 637 US stations. The harmonics data was converted from <https://github.com/poissonconsulting/rtide/blob/main/data-raw/harmonics-dwf-20151227-free.tar.bz2>, NOAA web site data processed by David Flater for 'XTide'. The code to calculate tide heights from the harmonics is based on 'XTide'.
Author: Joe Thorley [aut] , Luke Miller [aut, cre], Abram Fleishman [aut], Poisson Consulting [cph]
Maintainer: Luke Miller <contact@lukemiller.org>

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Package glydraw updated to version 0.7.0 with previous version 0.6.3 dated 2026-07-14

Title: Draw Beautiful Symbol Nomenclature for Glycans
Description: A 'ggplot2'-native plotting engine for drawing reproducible beautiful Symbol Nomenclature for Glycans (SNFG) glycan cartoons from glycan structure objects or text notations, with support for batch export, structural highlighting, and deep appearance customization. It follows the SNFG specification described at <https://www.ncbi.nlm.nih.gov/glycans/snfg.html>.
Author: Bin Fu [aut, cre, cph] , Xisong Feng [aut]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

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Package duckdb updated to version 1.5.5 with previous version 1.5.4.3 dated 2026-07-10

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

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 duckdb-1.5.5/duckdb/man/duckdb_storage.Rd                      |  302 ++++-----
 duckdb-1.5.5/duckdb/src/Makevars.win                           |   11 
 duckdb-1.5.5/duckdb/src/cpp11.cpp                              |   16 
 duckdb-1.5.5/duckdb/src/database.cpp                           |    3 
 duckdb-1.5.5/duckdb/src/duckdb.tar.xz                          |binary
 duckdb-1.5.5/duckdb/src/include/rapi.hpp                       |    6 
 duckdb-1.5.5/duckdb/src/include/rfuns_extension.hpp            |    2 
 duckdb-1.5.5/duckdb/src/register.cpp                           |   99 ++-
 duckdb-1.5.5/duckdb/src/rfuns.cpp                              |   38 +
 duckdb-1.5.5/duckdb/src/statement.cpp                          |   33 +
 duckdb-1.5.5/duckdb/src/utils.cpp                              |   21 
 duckdb-1.5.5/duckdb/tests/testthat/_snaps/extensions-libcxx.md |only
 duckdb-1.5.5/duckdb/tests/testthat/_snaps/storage-home.md      |only
 duckdb-1.5.5/duckdb/tests/testthat/_snaps/storage-status.md    |only
 duckdb-1.5.5/duckdb/tests/testthat/helper-DBItest.R            |    2 
 duckdb-1.5.5/duckdb/tests/testthat/test-DBItest.R              |   10 
 duckdb-1.5.5/duckdb/tests/testthat/test-duckdb-extensions.R    |    3 
 duckdb-1.5.5/duckdb/tests/testthat/test-extension_path.R       |    5 
 duckdb-1.5.5/duckdb/tests/testthat/test-extensions-libcxx.R    |only
 duckdb-1.5.5/duckdb/tests/testthat/test-fetch_arrow.R          |   16 
 duckdb-1.5.5/duckdb/tests/testthat/test-register_arrow.R       |   52 +
 duckdb-1.5.5/duckdb/tests/testthat/test-rfuns-minmax.R         |only
 duckdb-1.5.5/duckdb/tests/testthat/test-rfuns-mixed-types.R    |only
 duckdb-1.5.5/duckdb/tests/testthat/test-rfuns-narm.R           |only
 duckdb-1.5.5/duckdb/tests/testthat/test-rfuns-sum.R            |only
 duckdb-1.5.5/duckdb/tests/testthat/test-storage-cli-e2e.R      |   24 
 duckdb-1.5.5/duckdb/tests/testthat/test-storage-e2e.R          |   91 ++
 duckdb-1.5.5/duckdb/tests/testthat/test-storage-home.R         |  315 ++++++++--
 duckdb-1.5.5/duckdb/tests/testthat/test-storage-message-once.R |only
 duckdb-1.5.5/duckdb/tests/testthat/test-storage-secret.R       |only
 duckdb-1.5.5/duckdb/tests/testthat/test-storage-shared-home.R  |only
 duckdb-1.5.5/duckdb/tests/testthat/test-storage-status.R       |only
 60 files changed, 1574 insertions(+), 504 deletions(-)

More information about duckdb at CRAN
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