Sat, 22 Aug 2026

Package KSgeneral updated to version 2.1.0 with previous version 2.0.2 dated 2024-07-29

Title: Computing P-Values of the One-Sample K-S Test and the Two-Sample K-S and Kuiper Tests for (Dis)Continuous Null Distribution
Description: Contains functions to compute p-values for the one-sample and two-sample Kolmogorov-Smirnov (KS) tests and the two-sample Kuiper test for any fixed critical level and arbitrary (possibly very large) sample sizes. For the one-sample KS test, this package implements a novel, accurate and efficient method named Exact-KS-FFT, which allows the pre-specified cumulative distribution function under the null hypothesis to be continuous, purely discrete or mixed. In the two-sample case, it is assumed that both samples come from an unspecified (unknown) continuous, purely discrete or mixed distribution, i.e. ties (repeated observations) are allowed, and exact p-values of the KS and the Kuiper tests are computed. Note, the two-sample Kuiper test is often used when data samples are on the line or on the circle (circular data). To cite this package in publication: (for the use of the one-sample KS test) Dimitrina S. Dimitrova, Vladimir K. Kaishev, and Senren Tan. Computing the Kolmogorov-Smirnov Dis [...truncated...]
Author: Dimitrina S. Dimitrova [aut, cre], Yun Jia [aut], Vladimir K. Kaishev [aut], Senren Tan [aut]
Maintainer: Dimitrina S. Dimitrova <D.Dimitrova@city.ac.uk>

Diff between KSgeneral versions 2.0.2 dated 2024-07-29 and 2.1.0 dated 2026-08-22

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More information about KSgeneral at CRAN
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Package greenSD updated to version 0.2.2 with previous version 0.2.0 dated 2026-06-25

Title: Access and Analyze Global GreenSpace Spatial Data
Description: Access and analyze multi-band greenspace seasonality data cubes (available for 1,028 major global cities), global Normalized Difference Vegetation Index / land cover data from the European Space Agency WorldCover 10m Dataset, and Sentinel-2-l2a images. Users can download data using bounding boxes, city names, and filter by year or seasonal time window. The package also supports calculating human exposure to greenspace using a population-weighted greenspace exposure model introduced by Chen et al. (2022) <doi:10.1038/s41467-022-32258-4> based on Global Human Settlement Layer population data, and calculating a set of greenspace morphology metrics at patch and landscape levels.
Author: Xiaohao Yang [aut, cre, cph]
Maintainer: Xiaohao Yang <xiaohaoy111@gmail.com>

Diff between greenSD versions 0.2.0 dated 2026-06-25 and 0.2.2 dated 2026-08-22

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Package fqardl updated to version 1.0.4 with previous version 1.0.2 dated 2026-03-17

Title: Fourier ARDL Methods: Quantile, Nonlinear, Multi-Threshold & Unit Root Tests
Description: Comprehensive implementation of advanced ARDL methodologies for cointegration analysis with structural breaks and asymmetric effects. Includes: (1) Fourier Quantile ARDL (FQARDL) - quantile regression with Fourier approximation for analyzing relationships across the conditional distribution; (2) Fourier Nonlinear ARDL (FNARDL) - asymmetric cointegration with partial sum decomposition following Shin, Yu & Greenwood-Nimmo (2014) <doi:10.1007/978-1-4899-8008-3_9>; (3) Multi-Threshold NARDL (MTNARDL) - multiple regime asymmetry analysis; (4) Fourier Unit Root Tests - ADF and KPSS tests with Fourier terms following Enders & Lee (2012) <doi:10.1016/j.econlet.2012.05.019> and Becker, Enders & Lee (2006) <doi:10.1111/j.1467-9892.2006.00490.x>. Features automatic lag and frequency selection, PSS bounds testing following Pesaran, Shin & Smith (2001) <doi:10.1002/jae.616>, bootstrap cointegration tests, Wald tests for asymmetry, dynamic multiplier computati [...truncated...]
Author: Muhammad Alkhalaf [aut, cre, cph] , Merwan Roudane [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>

Diff between fqardl versions 1.0.2 dated 2026-03-17 and 1.0.4 dated 2026-08-22

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Package grmtree updated to version 0.2.2 with previous version 0.2.0 dated 2026-07-02

Title: Recursive Partitioning for Graded Response Models
Description: Provides methods for recursive partitioning based on the 'Graded Response Model' ('GRM'), extending the 'MOB' algorithm from the 'partykit' package. The package allows for fitting 'GRM' trees that partition the population into homogeneous subgroups based on item response patterns and covariates. Includes specialized plotting functions for visualizing 'GRM' trees with different terminal node displays (threshold regions, parameter profiles, and factor score distributions). The package also implements the Longitudinal GRMTree for detecting response shift in PROMs measured at two time points, embedding a constrained two-factor longitudinal GRM within recursive partitioning, with post-hoc characterization of recalibration and reprioritization. For more details on the methods, see Samejima (1969) <doi:10.1002/J.2333-8504.1968.TB00153.X>, Komboz et al. (2018) <doi:10.1177/0013164416664394> and Arimoro et al. (2025) <doi:10.1007/s11136-025-04018-6>.
Author: Olayinka I. Arimoro [aut, cre] , Tolulope T. Sajobi [aut], Lisa M. Lix [aut], Matthew T. James [ctb], Maria Santana [ctb], Emmanuel Ugochukwu [ctb]
Maintainer: Olayinka I. Arimoro <olayinka.arimoro@ucalgary.ca>

Diff between grmtree versions 0.2.0 dated 2026-07-02 and 0.2.2 dated 2026-08-22

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Package couplr updated to version 1.6.1 with previous version 1.5.3 dated 2026-07-25

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 1.5.3 dated 2026-07-25 and 1.6.1 dated 2026-08-22

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 couplr-1.6.1/couplr/src/solvers/network_simplex/ns_graph.h                     |    3 
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 couplr-1.6.1/couplr/src/solvers/network_simplex/solve_network_simplex.h        |    9 
 couplr-1.6.1/couplr/src/solvers/network_simplex/solve_network_simplex_rcpp.cpp |   11 
 couplr-1.6.1/couplr/src/solvers/orlin_ahuja/orlin_solve.cpp                    |    5 
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 couplr-1.6.1/couplr/src/solvers/solve_bottleneck.cpp                           |    5 
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 couplr-1.6.1/couplr/src/solvers/solve_hk01.cpp                                 |    5 
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 couplr-1.6.1/couplr/src/solvers/solve_push_relabel.h                           |   24 
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 couplr-1.6.1/couplr/tests/testthat/test-memory-mode.R                          |   43 
 couplr-1.6.1/couplr/tests/testthat/test-morph-coverage-boost.R                 | 1369 ++---
 couplr-1.6.1/couplr/tests/testthat/test-morph-coverage-final.R                 |   31 
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 couplr-1.6.1/couplr/tests/testthat/test-morph-pixel.R                          |    7 
 couplr-1.6.1/couplr/tests/testthat/test-morph-tiling-coverage.R                |  722 +-
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 couplr-1.6.1/couplr/tests/testthat/test-morph-utils-final.R                    | 1089 ++--
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 couplr-1.6.1/couplr/tests/testthat/test-morph-utils.R                          |  567 --
 couplr-1.6.1/couplr/tests/testthat/test-pixel-morph.R                          |  797 +--
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 couplr-1.6.1/couplr/tests/testthat/test-trace-parity.R                         |    4 
 couplr-1.6.1/couplr/vignettes/comparison.Rmd                                   |   11 
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 353 files changed, 24840 insertions(+), 22730 deletions(-)

More information about couplr at CRAN
Permanent link

Package ymd updated to version 0.1.7 with previous version 0.1.5 dated 2025-04-15

Title: Parse 'YMD' Format Number or String to Date
Description: Convert 'YMD' format number or string to Date efficiently, using Rust's standard library. It also provides helper functions to handle Date, e.g., quick finding the beginning or end of the given period, adding months to Date, etc.
Author: Xianying Tan [aut, cre] , Hiroaki Yutani [ctb] , The authors of the dependency Rust crates [ctb]
Maintainer: Xianying Tan <shrektan@126.com>

Diff between ymd versions 0.1.5 dated 2025-04-15 and 0.1.7 dated 2026-08-22

 DESCRIPTION                     |   18 ++--
 LICENSE.note                    |  130 ++++++++++++++++++------------
 MD5                             |   48 ++++++-----
 NEWS.md                         |   18 ++++
 R/extendr-wrappers.R            |    7 -
 R/ymd.R                         |    2 
 README.md                       |  173 ++++++++++++++++++++++------------------
 cleanup                         |    6 -
 cleanup.win                     |only
 inst/AUTHORS                    |   37 ++++++--
 inst/WORDLIST                   |only
 man/beop.Rd                     |    2 
 man/edate.Rd                    |    3 
 man/ymd.Rd                      |    2 
 src/Makevars.in                 |   29 ++++--
 src/Makevars.win.in             |   29 ++++--
 src/entrypoint.c                |    2 
 src/rust/Cargo.lock             |  108 +++++++++++++++++-------
 src/rust/Cargo.toml             |   16 ++-
 src/rust/document.rs            |only
 src/rust/src/dateof.rs          |    2 
 src/rust/src/lib.rs             |   18 +---
 src/rust/src/period.rs          |    4 
 src/rust/src/rdate.rs           |   75 ++++++++++++-----
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Package varPro updated to version 3.2.0 with previous version 3.1.0 dated 2026-04-19

Title: Model-Independent Variable Selection via the Rule-Based Variable Priority
Description: A new framework of variable selection, which instead of generating artificial covariates such as permutation importance and knockoffs, creates release rules to examine the affect on the response for each covariate where the conditional distribution of the response variable can be arbitrary and unknown.
Author: Min Lu [aut], Aster K. Shear [aut], Udaya B. Kogalur [aut, cre], Hemant Ishwaran [aut]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

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Package socialmixr updated to version 0.7.0 with previous version 0.6.0 dated 2026-04-29

Title: Social Mixing Matrices for Infectious Disease Modelling
Description: Methods for sampling contact matrices from diary data for use in infectious disease modelling, as discussed in Mossong et al. (2008) <doi:10.1371/journal.pmed.0050074>.
Author: Sebastian Funk [aut, cre], Lander Willem [aut], Hugo Gruson [aut], Nicholas Tierney [aut] , Maria Bekker-Nielsen Dunbar [ctb], Carl A. B. Pearson [ctb], Sam Clifford [ctb], Christopher Jarvis [ctb], Alexis Robert [ctb], Niel Hens [ctb], Pietro Colett [...truncated...]
Maintainer: Sebastian Funk <sebastian.funk@lshtm.ac.uk>

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Package NeuroDataSets updated to version 0.3.1 with previous version 0.3.0 dated 2025-11-23

Title: A Comprehensive Collection of Neuroscience and Brain-Related Datasets
Description: Offers a rich and diverse collection of datasets focused on the brain, nervous system, and related disorders. The package includes clinical, experimental, neuroimaging, behavioral, cognitive, and simulated data on conditions such as Parkinson's disease, Alzheimer's disease, dementia, epilepsy, schizophrenia, autism spectrum disorder, attention deficit, hyperactivity disorder, Tourette's syndrome, traumatic brain injury, gliomas, migraines, headaches, sleep disorders, concussions, encephalitis, subarachnoid hemorrhage, and mental health conditions. Datasets cover structural and functional brain data, cross-sectional and longitudinal MRI imaging studies, neurotransmission, gene expression, cognitive performance, intelligence metrics, sleep deprivation effects, treatment outcomes, brain-body relationships across species, neurological injury patterns, and acupuncture interventions. Data sources include peer-reviewed studies, clinical trials, military health records, sports injury databases [...truncated...]
Author: Renzo Caceres Rossi [aut, cre] , Michael Seo [ctb] , Christopher Schmid [ctb] , Si Gao [ctb] , Peter Kochunov [ctb, cph] , Kathryn Hatch [ctb] .), Yizhou Ma [ctb] .), Fatima Talib [ctb] .), Kevin M. Middleton [ctb] , Randall Pruim [ctb] , Max Kuhn [c [...truncated...]
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>

Diff between NeuroDataSets versions 0.3.0 dated 2025-11-23 and 0.3.1 dated 2026-08-22

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Package diffcp updated to version 0.1.2 with previous version 0.1.1 dated 2026-05-27

Title: Differentiating Through Cone Programs
Description: A port of the 'python' 'diffcp' package. Computes the derivative of the optimal solution map of a convex cone program, treating the program as an implicit function of its data (constraint matrix, offset, objective coefficients, and optionally a quadratic), mirroring Agrawal et al. (2019) <doi:10.48550/arXiv.1904.09043>.
Author: Balasubramanian Narasimhan [aut, cre], Akshay Agrawal [aut], Shane Barratt [aut], Stephen Boyd [aut], Enzo Busseti [aut], Walaa Moursi [aut]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>

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Package blavaan updated to version 0.6-1 with previous version 0.5-10 dated 2026-01-20

Title: Bayesian Latent Variable Analysis
Description: Fit a variety of Bayesian latent variable models, including confirmatory factor analysis, structural equation models, and latent growth curve models. References: Merkle & Rosseel (2018) <doi:10.18637/jss.v085.i04>; Merkle et al. (2021) <doi:10.18637/jss.v100.i06>.
Author: Edgar Merkle [aut, cre] , Yves Rosseel [aut], Ben Goodrich [aut], Mauricio Garnier-Villarreal [ctb] , Terrence D. Jorgensen [ctb] , Huub Hoofs [ctb] , Rens van de Schoot [ctb] , Andrew Johnson [ctb] , Matthew Emery [ctb] , Michael S. Truong [ctb] )
Maintainer: Edgar Merkle <merklee@missouri.edu>

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Package baselinr updated to version 0.6.0 with previous version 0.5.0 dated 2026-06-30

Title: What Works Clearinghouse Standards for Education Impact Evaluations
Description: Applies the group-design determinations of the What Works Clearinghouse (WWC) to education impact studies. Computes WWC effect sizes (Hedges' g with the small-sample correction, and the Cox index) and classifies baseline equivalence; classifies overall and differential attrition against the WWC attrition boundary; returns the group-design study rating; and reports the robustness of the baseline-equivalence verdict as a multiverse over the computation choices an analyst could defensibly make differently. Provides report-ready tables and Love plots.
Author: Yuxia Liang [aut, cre]
Maintainer: Yuxia Liang <zl1212@uw.edu>

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Package ascribe updated to version 0.2.0 with previous version 0.1.1 dated 2026-08-08

Title: Static Detection and Citation of R Package and Function Usage
Description: Scans R source files for package and function use, then builds citations from configurable package universes. Supports .R, .Rmd, and .qmd files, resolves unqualified calls by attachment order and re-export origin, and leaves each package collection to define its own citations. See 'stanflow' <https://github.com/VisruthSK/stanflow> for an example usage.
Author: Visruth Srimath Kandali [aut, cre, cph]
Maintainer: Visruth Srimath Kandali <public@visruth.com>

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Package circles updated to version 0.1.2 with previous version 0.1.0 dated 2025-05-02

Title: Quickly Draw Various Combinations of Circular Objects
Description: Contains the adaptation of bubblebath from 'MATLAB' (Danz, 2020: <https://www.mathworks.com/matlabcentral/fileexchange/70348>) and the tools to transform a dataframe of radii and points to plot-able paths.
Author: Ryan ODea [aut, cre]
Maintainer: Ryan ODea <odea.ryan@outlook.com>

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Package nparLD updated to version 2.3.0 with previous version 2.2 dated 2022-08-06

Title: Nonparametric Analysis of Longitudinal Data in Factorial Experiments
Description: Provides nonparametric procedures for the analysis of longitudinal data in factorial experiments. The package implements hypothesis tests on marginal distribution functions and unweighted relative marginal effects. It supports arbitrary crossed factorial designs with longitudinal or repeated-measures factors, missing observations, dependent replicates, rank- and pseudo-rank-based inference, Wald-type and ANOVA-type statistics, multiple contrast tests, and simultaneous confidence intervals.
Author: Frank Konietschke [aut, cre], Kimihiro Noguchi [ctb] , Mahbub Latif [ctb] , Karthinathan Thangavelu [ctb] , Yulia R. Gel [ctb] , Edgar Brunner [ctb]
Maintainer: Frank Konietschke <frank.konietschke@charite.de>

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Package fcl updated to version 0.1.5 with previous version 0.1.4 dated 2025-04-15

Title: A Financial Calculator
Description: A financial calculator that provides very fast implementations of common financial indicators using 'Rust' code. It includes functions for bond-related indicators, such as yield to maturity ('YTM'), modified duration, and Macaulay duration, as well as functions for calculating time-weighted and money-weighted rates of return (using 'Modified Dietz' method) for multiple portfolios, given their market values and profit and loss ('PnL') data. 'fcl' is designed to be efficient and accurate for financial analysis and computation. The methods used in this package are based on the following references: <https://en.wikipedia.org/wiki/Modified_Dietz_method>, <https://en.wikipedia.org/wiki/Time-weighted_return>.
Author: Xianying Tan [aut, cre] , Raymon Mina [ctb] , The authors of the dependency Rust crates [ctb]
Maintainer: Xianying Tan <shrektan@126.com>

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Package selecta updated to version 0.6.1 with previous version 0.6.0 dated 2026-06-24

Title: Declarative EQUATOR-Style Flow Diagrams for Clinical Studies
Description: Build EQUATOR-style flowcharts for clinical studies by sequentially defining inclusion and exclusion criteria, study arms, and endpoints. The pipe-friendly API supports CONSORT (randomized trials), STROBE (observational cohorts), STARD (diagnostic accuracy), PRISMA (systematic reviews), and MOOSE (observational meta-analysis) diagram layouts, as well as multi-source convergence, split-and-recombine, factorial, and hybrid topologies. Diagrams are rendered via 'grid' graphics in both data-driven (automatic counting) and manual-count modes, with optional 'DiagrammeR'/'Graphviz' output.
Author: Paul Hsin-ti McClelland [aut, cre, cph]
Maintainer: Paul Hsin-ti McClelland <PaulHMcClelland@protonmail.com>

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Package reviser updated to version 0.2.0 with previous version 0.1.1 dated 2026-03-31

Title: Analyzing Revisions in Real-Time Time Series Vintages
Description: Analyzes revisions in real-time time series vintages. The package converts between wide revision triangles and tidy long vintages, extracts selected releases, computes revision series, visualizes vintage paths, and summarizes revision properties such as bias, dispersion, autocorrelation, and news-noise diagnostics. It also identifies efficient releases and estimates state-space models for revision nowcasting. Methods are based on Howrey (1978) <doi:10.2307/1924972>, Jacobs and Van Norden (2011) <doi:10.1016/j.jeconom.2010.04.010>, and Kishor and Koenig (2012) <doi:10.1198/jbes.2010.08169>.
Author: Marc Burri [aut, cre, cph] , Philipp Wegmueller [aut, cph]
Maintainer: Marc Burri <marc.burri91@gmail.com>

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Package lehdr updated to version 1.2.0 with previous version 1.1.4 dated 2024-11-21

Title: Grab Longitudinal Employer-Household Dynamics (LEHD) Flat Files
Description: Designed to query Longitudinal Employer-Household Dynamics (LEHD) workplace/residential association and origin-destination flat files and optionally aggregate Census block-level data to block group, tract, county, or state. Also provides analytical functions for commute flow statistics, longitudinal change, and earnings tier distributions. Data comes from the LODES FTP server <https://lehd.ces.census.gov/data/lodes/LODES8/>.
Author: Jamaal Green [cre, aut] , Liming Wang [aut], Dillon Mahmoudi [aut] , Matthew Rogers [ctb], Kyle Walker [ctb], Eli Pousson [ctb]
Maintainer: Jamaal Green <jamaal.green@gmail.com>

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Package corrselect updated to version 3.3.0 with previous version 3.2.3 dated 2026-07-18

Title: Correlation-Based and Model-Based Predictor Pruning
Description: Provides functions for predictor pruning using association-based and model-based approaches. Includes corrPrune() for fast correlation-based pruning, modelPrune() for regression pruning on the variance inflation factor (VIF) and the condition number, and exact graph-theoretic algorithms (Eppstein–Löffler–Strash, Bron–Kerbosch) for exhaustive subset enumeration. Supports linear models, generalized linear models (GLMs), and mixed models ('lme4', 'glmmTMB').
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

Diff between corrselect versions 3.2.3 dated 2026-07-18 and 3.3.0 dated 2026-08-22

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 corrselect-3.3.0/corrselect/DESCRIPTION                                                                            |    8 
 corrselect-3.3.0/corrselect/MD5                                                                                    |  275 
 corrselect-3.3.0/corrselect/NAMESPACE                                                                              |   58 
 corrselect-3.3.0/corrselect/NEWS.md                                                                                |  590 -
 corrselect-3.3.0/corrselect/R/CorrCombo.R                                                                          |   29 
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 corrselect-3.3.0/corrselect/R/RcppExports.R                                                                        |   38 
 corrselect-3.3.0/corrselect/R/assoc-metrics.R                                                                      |  195 
 corrselect-3.3.0/corrselect/R/assocSelect.R                                                                        |  389 
 corrselect-3.3.0/corrselect/R/corrPrune.R                                                                          | 1366 +-
 corrselect-3.3.0/corrselect/R/corrSelect.R                                                                         |   73 
 corrselect-3.3.0/corrselect/R/corrSubset.R                                                                         |  251 
 corrselect-3.3.0/corrselect/R/modelPrune.R                                                                         | 1887 ++-
 corrselect-3.3.0/corrselect/README.md                                                                              |  154 
 corrselect-3.3.0/corrselect/inst/CITATION                                                                          |    4 
 corrselect-3.3.0/corrselect/inst/doc/advanced.R                                                                    |   42 
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 corrselect-3.3.0/corrselect/inst/doc/quickstart.R                                                                  |   12 
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 corrselect-3.3.0/corrselect/inst/doc/workflows.R                                                                   |   84 
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 corrselect-3.3.0/corrselect/man/MatSelect.Rd                                                                       |  125 
 corrselect-3.3.0/corrselect/man/as.data.frame.CorrCombo.Rd                                                         |   70 
 corrselect-3.3.0/corrselect/man/assocSelect.Rd                                                                     |  263 
 corrselect-3.3.0/corrselect/man/bioclim_example.Rd                                                                 |  146 
 corrselect-3.3.0/corrselect/man/cor_example.Rd                                                                     |  168 
 corrselect-3.3.0/corrselect/man/corrPrune.Rd                                                                       |  300 
 corrselect-3.3.0/corrselect/man/corrSelect.Rd                                                                      |  182 
 corrselect-3.3.0/corrselect/man/corrSubset.Rd                                                                      |  145 
 corrselect-3.3.0/corrselect/man/corrselect-package.Rd                                                              |  130 
 corrselect-3.3.0/corrselect/man/genes_example.Rd                                                                   |  114 
 corrselect-3.3.0/corrselect/man/longitudinal_example.Rd                                                            |  126 
 corrselect-3.3.0/corrselect/man/modelPrune.Rd                                                                      |  352 
 corrselect-3.3.0/corrselect/man/survey_example.Rd                                                                  |  118 
 corrselect-3.3.0/corrselect/src/clique_core.cpp                                                                    |    2 
 corrselect-3.3.0/corrselect/src/clique_core.h                                                                      |   15 
 corrselect-3.3.0/corrselect/src/corrselect_main.cpp                                                                |   20 
 corrselect-3.3.0/corrselect/src/corrselect_types.h                                                                 |    4 
 corrselect-3.3.0/corrselect/src/method_bronkerbosch.cpp                                                            |    1 
 corrselect-3.3.0/corrselect/src/method_bronkerbosch.h                                                              |    7 
 corrselect-3.3.0/corrselect/src/method_els.cpp                                                                     |    7 
 corrselect-3.3.0/corrselect/src/method_els.h                                                                       |    6 
 corrselect-3.3.0/corrselect/src/method_greedy.cpp                                                                  |   87 
 corrselect-3.3.0/corrselect/src/utils.cpp                                                                          |   50 
 corrselect-3.3.0/corrselect/src/utils.h                                                                            |   21 
 corrselect-3.3.0/corrselect/tests/testthat/test-CorrCombo.R                                                        |   32 
 corrselect-3.3.0/corrselect/tests/testthat/test-assocSelect.R                                                      | 2475 ++---
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 corrselect-3.3.0/corrselect/tests/testthat/test-corrPrune.R                                                        | 4291 ++++----
 corrselect-3.3.0/corrselect/tests/testthat/test-modelPrune.R                                                       | 4813 +++++-----
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Package soilVAE updated to version 0.1.10 with previous version 0.1.9 dated 2026-03-17

Title: Supervised Variational Autoencoder Regression via 'reticulate'
Description: Supervised latent-variable regression for high-dimensional predictors such as soil reflectance spectra. The model uses an encoder-decoder neural network with a stochastic Gaussian latent representation regularized by a Kullback-Leibler term, and a supervised prediction head trained jointly with the reconstruction objective. The implementation interfaces R with a 'Python' deep-learning backend and provides utilities for training, tuning, and prediction.
Author: Hugo Rodrigues [aut, cre], Alexandre M. J.-C. Wadoux [cph] , from which the bundled 'datsoilspc' dataset is redistributed)
Maintainer: Hugo Rodrigues <rodrigues.machado.hugo@gmail.com>

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Package RobinCar2 updated to version 0.2.4 with previous version 0.2.3 dated 2026-07-02

Title: ROBust INference for Covariate Adjustment in Randomized Clinical Trials
Description: Performs robust estimation and inference when using covariate adjustment and/or covariate-adaptive randomization in randomized controlled trials. This package is trimmed to reduce the dependencies and validated to be used across industry. See "FDA's final guidance on covariate adjustment"<https://www.regulations.gov/docket/FDA-2019-D-0934>, Tsiatis (2008) <doi:10.1002/sim.3113>, Bugni et al. (2018) <doi:10.1080/01621459.2017.1375934>, Ye, Shao, Yi, and Zhao (2023)<doi:10.1080/01621459.2022.2049278>, Ye, Shao, and Yi (2022)<doi:10.1093/biomet/asab015>, Rosenblum and van der Laan (2010)<doi:10.2202/1557-4679.1138>, Wang et al. (2021)<doi:10.1080/01621459.2021.1981338>, Ye, Bannick, Yi, and Shao (2023)<doi:10.1080/24754269.2023.2205802>, and Bannick, Shao, Liu, Du, Yi, and Ye (2024)<doi:10.48550/arXiv.2306.10213>.
Author: Liming Li [aut, cre] , Marlena Bannick [aut] , Daniel Sabanes Bove [aut] , Dong Xi [aut], Ting Ye [aut], Yanyao Yi [aut], Gregory Chen [ctb], Gilead Sciences, Inc. [cph, fnd], F. Hoffmann-La Roche AG [cph, fnd], Merck Sharp & Dohme, Inc. [cph, fnd], [...truncated...]
Maintainer: Liming Li <liming.li1@astrazeneca.com>

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Package pizzarr updated to version 0.2.1 with previous version 0.2.0 dated 2026-04-20

Title: Slice into 'Zarr' Arrays
Description: An implementation of chunked, compressed, N-dimensional arrays for R. 'Zarr' spec V2 (2024) <doi:10.5281/zenodo.11320255>.
Author: David Blodgett [cre, aut] , Mark Keller [aut] , Artuer Manukyan [aut] , zarr-developers [cph]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package normality updated to version 0.0.4 with previous version 0.0.3 dated 2026-07-07

Title: Tests for Departure from Normality
Description: A toolkit for assessing data normality using a comprehensive collection of statistical methods. It includes descriptive measures and formal hypothesis tests, such as skewness and kurtosis tests, the Anderson–Darling test, the Shapiro–Wilk test, and the D'Agostino–Pearson K2 omnibus test.
Author: Joon-Keat Lai [aut, cre, cph]
Maintainer: Joon-Keat Lai <p10911004@gmail.com>

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Package tinytiger updated to version 0.0.12 with previous version 0.0.11 dated 2025-10-24

Title: Lightweight Interface to TIGER/Line Shapefiles
Description: Download geographic shapes from the United States Census Bureau TIGER/Line Shapefiles <https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html>. Functions support downloading and reading in geographic boundary data. All downloads can be set up with a cache to avoid multiple downloads. Data is available back to 2000 for most geographies.
Author: Christopher T. Kenny [aut, cre] , Cory McCartan [aut]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>

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Package terra updated to version 1.9-46 with previous version 1.9-34 dated 2026-06-19

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

Diff between terra versions 1.9-34 dated 2026-06-19 and 1.9-46 dated 2026-08-22

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 129 files changed, 5288 insertions(+), 2141 deletions(-)

More information about terra at CRAN
Permanent link

Package partykit updated to version 1.3-0 with previous version 1.2-29 dated 2026-07-17

Title: A Toolkit for Recursive Partytioning
Description: A toolkit with infrastructure for representing, summarizing, and visualizing tree-structured regression and classification models. This unified infrastructure can be used for reading/coercing tree models from different sources ('rpart', 'RWeka', 'PMML') yielding objects that share functionality for print()/plot()/predict() methods. Furthermore, new and improved reimplementations of conditional inference trees (ctree()) and model-based recursive partitioning (mob()) from the 'party' package are provided based on the new infrastructure. A description of this package was published by Hothorn and Zeileis (2015) <https://jmlr.org/papers/v16/hothorn15a.html>.
Author: Torsten Hothorn [aut, cre] , Heidi Seibold [ctb] , Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between partykit versions 1.2-29 dated 2026-07-17 and 1.3-0 dated 2026-08-22

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Package mcptools updated to version 1.0.2 with previous version 1.0.1 dated 2026-07-27

Title: Model Context Protocol Servers and Clients
Description: Implements the Model Context Protocol (MCP). Users can start 'R'-based servers, serving functions as tools for large language models to call before responding to the user in MCP-compatible apps like 'Claude Desktop' and 'Claude Code', with options to run those tools inside of interactive 'R' sessions. On the other end, when 'R' is the client via the 'ellmer' package, users can register tools from third-party MCP servers to integrate additional context into chats.
Author: Simon Couch [aut, cre] , Winston Chang [aut] , Charlie Gao [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Simon Couch <simon.couch@posit.co>

Diff between mcptools versions 1.0.1 dated 2026-07-27 and 1.0.2 dated 2026-08-22

 DESCRIPTION                      |    6 +++---
 MD5                              |    6 +++---
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 4 files changed, 12 insertions(+), 8 deletions(-)

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Package DPComb updated to version 1.0.1 with previous version 1.0 dated 2026-06-19

Title: Discrete p-Value Combination Tests
Description: Provides tools for performing p-value combination tests with discrete input p-values. These tests combine significance evidence derived from independent discrete statistics to test a global null hypothesis, which is defined by the specified null distribution(s) of these discrete statistics. The testing procedure involves two main steps: (1) Wasserstein Adjustment: Each component of the combination statistic is replaced by an adjusted Z statistic. This adjustment, based on the minimum Wasserstein distance, preserves the discrete nature of the original statistics while better aligning them with their counterparts under continuity. (2) Calculation of the Significance of the Combination Statistic: A continuous distribution that optimally matches the discrete distribution of the combination statistic is obtained, and the testing p-value for the global null hypothesis is computed. The first step is analogous to Lancaster's approach but is generalized based on Wasserstein optimization. The se [...truncated...]
Author: Gonzalo Contador [aut], Shuaichuan Feng [aut], Zheyang Wu [aut, cre]
Maintainer: Zheyang Wu <zheyangwu@wpi.edu>

Diff between DPComb versions 1.0 dated 2026-06-19 and 1.0.1 dated 2026-08-22

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Package BMisc updated to version 1.4.10 with previous version 1.4.9 dated 2026-06-11

Title: Miscellaneous Functions for Panel Data, Quantiles, and Printing Results
Description: These are miscellaneous functions for working with panel data, quantiles, and printing results. For panel data, the package includes functions for making a panel data balanced (that is, dropping missing individuals that have missing observations in any time period), converting id numbers to row numbers, and to treat repeated cross sections as panel data under the assumption of rank invariance. For quantiles, there are functions to make distribution functions from a set of data points (this is particularly useful when a distribution function is created in several steps), to combine distribution functions based on some external weights, and to invert distribution functions. Finally, there are several other miscellaneous functions for obtaining weighted means, weighted distribution functions, and weighted quantiles; to generate summary statistics and their differences for two groups; and to add or drop covariates from formulas. Additional utilities support staggered treatment adoption [...truncated...]
Author: Brantly Callaway [aut, cre], Grant McDermott [ctb]
Maintainer: Brantly Callaway <brantly.callaway@uga.edu>

Diff between BMisc versions 1.4.9 dated 2026-06-11 and 1.4.10 dated 2026-08-22

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Package xxdi updated to version 1.26.8 with previous version 1.26.4 dated 2026-04-30

Title: An R Package for Evaluating Expertise Indices for Research Strength Assessment
Description: Institutional performance assessment remains a key challenge to a multitude of stakeholders. Existing indicators such as h-type indicators, g-type indicators, and many others do not reflect expertise of institutions that defines their research portfolio. The package offers functionality to compute and visualise two novel indices: the x-index and the xd-index. The x-index evaluates an institution's scholarly expertise within a specific discipline or field, while the xd-index provides a broader assessment of overall scholarly expertise considering an institution's publication pattern and strengths across coarse thematic areas. These indices offer a nuanced understanding of institutional research capabilities, aiding stakeholders in research management and resource allocation decisions. For further details, see Lathabai, H.H., Nandy, A., and Singh, V.K. (2021) <doi:10.1007/s11192-021-04188-3>, and Nandy, A., Lathabai, H.H., and Singh, V.K. (2023) <doi:10.5281/zenodo.8305585>. [...truncated...]
Author: Nilabhra R Das [cre, aut] , Abhirup Nandy [aut]
Maintainer: Nilabhra R Das <nr.das@yahoo.com>

Diff between xxdi versions 1.26.4 dated 2026-04-30 and 1.26.8 dated 2026-08-22

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Package wikiTools updated to version 1.2.26 with previous version 1.2.24 dated 2026-05-25

Title: Tools for Wikidata and Wikipedia
Description: A set of wrappers intended to check, read and download information from the Wikimedia sources. It is specifically created to work with names of celebrities, in which case their information and statistics can be downloaded. Additionally, it also builds links and snippets to use in combination with the function gallery() in netCoin package.
Author: Modesto Escobar [aut, cph, cre] , Angel Zazo [aut], Carlos Prieto [aut] , David Barrios [aut], Cristina Calvo [aut]
Maintainer: Modesto Escobar <modesto@usal.es>

Diff between wikiTools versions 1.2.24 dated 2026-05-25 and 1.2.26 dated 2026-08-22

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Package walking updated to version 0.8.0 with previous version 0.7.0 dated 2026-08-03

Title: Segments Accelerometry Data into Walking Bouts using Open Source Methods
Description: Segments walking from accelerometry data using 'forest' python module <https://github.com/onnela-lab/forest> from Yi (2025) <doi:10.2196/71375>, 'Verisense' original from Rowlands (2022) <doi:10.1080/02640414.2022.2147134> and 'Verisense' revised from Maylor (2022) <doi:10.3390/s22249984>, and Step Detection Threshold (SDT) from Ducharme (2021) <doi:10.1123/jmpb.2021-0011> methods.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

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Package treasury updated to version 0.7.0 with previous version 0.6.0 dated 2026-07-11

Title: Client for US Treasury XML Feed and Published Data
Description: Download daily interest rates from the US Treasury XML feed. Leveraging <https://home.treasury.gov/treasury-daily-interest-rate-xml-feed>, this package serves as a wrapper, facilitating the retrieval of daily treasury rates across various categories, including par yield curves, treasury bills, long-term rates, and real yield curves. In addition, it provides access to the monthly published yield curve datasets, including the High Quality Market (HQM) corporate bond yield curve and the Treasury nominal and real coupon-issue (TNC, TRC) and breakeven inflation (TBI) curves.
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package survdnn updated to version 1.0.0 with previous version 0.7.6 dated 2026-04-29

Title: Deep Neural Networks for Survival Analysis with R 'torch'
Description: Provides deep learning models for right-censored survival data using the 'torch' backend. Supports multiple loss functions, including Cox partial likelihood, L2-penalized Cox, time-dependent Cox, and accelerated failure time (AFT) loss. Offers a formula-based interface, built-in support for cross-validation, hyperparameter tuning, survival curve plotting, and evaluation metrics such as the C-index, Brier score, and integrated Brier score. For methodological details, see Kvamme et al. (2019) <https://www.jmlr.org/papers/v20/18-424.html>. The package is described in El Badisy (2026) <doi:10.32614/RJ-2026-008>.
Author: Imad El Badisy [aut, cre], Daniel Falbel [ctb]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>

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Package survalis readmission to version 1.0.0 with previous version 0.7.1 dated 2026-04-23

Title: Interpretable Survival Machine Learning Framework
Description: A modular toolkit for interpretable survival machine learning with a unified interface for fitting, prediction, evaluation, and interpretation. It includes semiparametric, parametric, tree-based, ensemble, boosting, kernel, and deep-learning survival learners, together with benchmarking, scoring, calibration, and model-agnostic interpretation utilities. Representative methodological anchors include Cox (1972) <doi:10.1111/j.2517-6161.1972.tb00899.x>, Royston and Parmar (2002) <doi:10.1002/sim.1203>, Ishwaran et al. (2008) <doi:10.1214/08-AOAS169>, Jaeger et al. (2019) <doi:10.1214/19-AOAS1261>, Harrell et al. (1982) <doi:10.1001/jama.1982.03320430047030>, Graf et al. (1999) <doi:10.1002/(SICI)1097-0258(19990915/30)18:17/18%3C2529::AID-SIM274%3E3.0.CO;2-5>, Friedman (2001) <doi:10.1214/aos/1013203451>, Apley and Zhu (2020) <doi:10.1111/rssb.12377>, and Lundberg and Lee (2017) <https://papers.nips.cc/paper/7062-a-unified-approach-to-inte [...truncated...]
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>

This is a re-admission after prior archival of version 0.7.1 dated 2026-04-23

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Package ruler updated to version 0.3.2 with previous version 0.3.1 dated 2025-07-28

Title: Tidy Data Validation Reports
Description: Tools for creating data validation pipelines and tidy reports. This package offers a framework for exploring and validating data frame like objects using 'dplyr' grammar of data manipulation.
Author: Evgeni Chasnovski [aut, cre]
Maintainer: Evgeni Chasnovski <evgeni.chasnovski@gmail.com>

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

Title: 'Open Scoring' API Client
Description: Creativity research involves the need to score open-ended problems. Usually done by humans, automatic scoring using AI becomes more and more accurate. This package provides a simple interface to the 'Open Scoring' API <https://openscoring.du.edu/docs>, leading creativity scoring technology by Organiscak et al. (2023) <doi:10.1016/j.tsc.2023.101356>. With it, you can score your own data directly from an R script.
Author: Jakub Jedrusiak [aut, cre, cph] , Peter Organisciak [ctb] , Selcuk Acar [ctb] , Denis Dumas [ctb] , Pier-Luc de Chantal [ctb] , Kelly Berthiaume [ctb]
Maintainer: Jakub Jedrusiak <jakub.jedrusiak@uwr.edu.pl>

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Package MEMWAS readmission to version 0.9.5 with previous version 0.9.3 dated 2026-08-08

Title: Mixed-Effects Models with Autocorrelation Structures
Description: Fits longitudinal mixed-effects models through a registered 'C++' numerical backend. Supported serial covariance structures include first-order autoregressive (AR(1)), exponential or Ornstein-Uhlenbeck, higher-order autoregressive (AR(p)), first-order autoregressive moving-average (ARMA(1,1)), compound symmetry, Toeplitz, and unstructured covariance. Serial processes can be unified or attached independently to numeric predictor loadings. Candidate temporal structures can be ranked on a common sample by dependence-component grouped cross-validation, the Akaike information criterion, the Bayesian information criterion, or log-likelihood. Clustered, crossed, and nested random intercepts and slopes are assembled jointly with diagonal or term-specific unstructured covariance. Available approximation methods include Laplace, saddlepoint likelihood with latent Laplace integration, adaptive Gaussian quadrature, full-covariance Gaussian variational inference, and penalized quasi-likelihood. Pen [...truncated...]
Author: Enoch Kang [aut, cre, trl]
Maintainer: Enoch Kang <y.enoch.kang@gmail.com>

This is a re-admission after prior archival of version 0.9.3 dated 2026-08-08

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Package ipred updated to version 0.9-16 with previous version 0.9-15 dated 2024-07-18

Title: Improved Predictors
Description: Improved predictive models by indirect classification and bagging for classification, regression and survival problems as well as resampling based estimators of prediction error.
Author: Andrea Peters [aut], Torsten Hothorn [aut, cre], Brian D. Ripley [ctb], Terry Therneau [ctb], Beth Atkinson [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package IntegMultiReg updated to version 0.1.1 with previous version 0.1.0 dated 2026-08-09

Title: Integrative Bayesian Multiple Regression for Multi-Platform Biomarkers
Description: A Bayesian framework that integrates several regression models to identify a parsimonious set of biomarkers shared across disparate data platforms (for example genomic, transcriptomic and proteomic assays). Subjects are partitioned into subgroups defined by their pattern of platform availability, so that no subject with partially missing platform data is excluded, and information is borrowed across subgroups through a Markov random field prior on the variable-selection indicators together with non-local (product moment) priors on the regression effects. The methodology was introduced for time-to-event outcomes by Chekouo, Stingo, Doecke and Do (2017) <doi:10.1111/biom.12587>; this package additionally supports continuous (Gaussian) and binary (probit) outcomes. Posterior inference is carried out by a Markov chain Monte Carlo sampler implemented in C for computational efficiency.
Author: Sinian Zhang [aut], Jianfeng Wang [aut], Thierry Chekouo [aut, cre]
Maintainer: Thierry Chekouo <tchekouo@umn.edu>

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Package hexify updated to version 0.8.2 with previous version 0.6.5 dated 2026-02-28

Title: Equal-Area Hex Grids on the Snyder ISEA Icosahedron
Description: Provides functions to build and use hexagonal discrete global grids using the Icosahedral Snyder Equal Area ('ISEA') projection (Snyder 1992 <doi:10.3138/27H7-8K88-4882-1752>) and the 'H3' hierarchical hexagonal system (Uber Technologies). Implements the 'ISEA' discrete global grid system (Sahr, White and Kimerling 2003 <doi:10.1559/152304003100011090>). Includes a fast C++ core for 'ISEA' projection and aperture quantization, an included 'H3' v4.4.1 C library for native 'H3' grid operations, and 'sf'/'terra'-compatible R wrappers for grid generation and coordinate assignment. Output is compatible with 'dggridR' for interoperability.
Author: Gilles Colling [aut, cre, cph] , Uber Technologies, Inc. [ctb, cph] )
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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 hexify-0.8.2/hexify/R/hexify_index.R                              |   96 
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 hexify-0.8.2/hexify/README.md                                     |   41 
 hexify-0.8.2/hexify/build/vignette.rds                            |binary
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 hexify-0.8.2/hexify/inst/doc/h3.R                                 |   49 
 hexify-0.8.2/hexify/inst/doc/h3.Rmd                               |   76 
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 hexify-0.8.2/hexify/inst/doc/workflows.Rmd                        |  156 
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 hexify-0.8.2/hexify/inst/scripts/compare_dggrid_hexify.R          |   24 
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 hexify-0.8.2/hexify/man/hexify_build_icosa.Rd                     |   20 
 hexify-0.8.2/hexify/man/hexify_cell_id_to_quad_ij.Rd              |   42 
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 hexify-0.8.2/hexify/man/hexify_cell_to_index.Rd                   |   41 
 hexify-0.8.2/hexify/man/hexify_cell_to_lonlat.Rd                  |   40 
 hexify-0.8.2/hexify/man/hexify_cell_to_plane.Rd                   |   40 
 hexify-0.8.2/hexify/man/hexify_cell_to_quad_ij.Rd                 |   40 
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 hexify-0.8.2/hexify/man/hexify_cell_to_sf.Rd                      |    8 
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 hexify-0.8.2/hexify/man/hexify_grid_global.Rd                     |   20 
 hexify-0.8.2/hexify/man/hexify_grid_rect.Rd                       |   14 
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 hexify-0.8.2/hexify/man/hexify_icosa_tri_to_quad_xy.Rd            |   40 
 hexify-0.8.2/hexify/man/hexify_index_to_cell.Rd                   |   33 
 hexify-0.8.2/hexify/man/hexify_index_to_lonlat.Rd                 |   28 
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 hexify-0.8.2/hexify/man/hexify_quad_xy_to_cell.Rd                 |   40 
 hexify-0.8.2/hexify/man/hexify_quad_xy_to_icosa_tri.Rd            |   40 
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 hexify-0.8.2/hexify/src/aperture_sequence.cpp                     |  156 
 hexify-0.8.2/hexify/src/aperture_sequence.h                       |   36 
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 hexify-0.8.2/hexify/src/cell_index.h                              |    7 
 hexify-0.8.2/hexify/src/constants.h                               |   26 
 hexify-0.8.2/hexify/src/coordinate_transforms.cpp                 |  390 +-
 hexify-0.8.2/hexify/src/coordinate_transforms.h                   |   70 
 hexify-0.8.2/hexify/src/cube_coordinates.h                        |   11 
 hexify-0.8.2/hexify/src/grid_math.h                               |  477 +-
 hexify-0.8.2/hexify/src/h3/LICENSE                                |  402 +-
 hexify-0.8.2/hexify/src/icosahedron.cpp                           |    4 
 hexify-0.8.2/hexify/src/icosahedron.h                             |    2 
 hexify-0.8.2/hexify/src/index_z3.cpp                              |   10 
 hexify-0.8.2/hexify/src/index_z7.cpp                              |  143 
 hexify-0.8.2/hexify/src/index_z7.h                                |   12 
 hexify-0.8.2/hexify/src/index_zorder.cpp                          |   68 
 hexify-0.8.2/hexify/src/projection_forward.cpp                    |    7 
 hexify-0.8.2/hexify/src/rcpp_aperture.cpp                         |  430 +-
 hexify-0.8.2/hexify/src/rcpp_cell.cpp                             | 1674 +++++-----
 hexify-0.8.2/hexify/src/rcpp_h3.cpp                               |  281 +
 hexify-0.8.2/hexify/src/rcpp_index.cpp                            |  168 -
 hexify-0.8.2/hexify/src/rcpp_projection.cpp                       |    2 
 hexify-0.8.2/hexify/tests/dggrid_test.meta                        |   18 
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 hexify-0.8.2/hexify/tests/testthat/test-aperture-4.R              |  390 +-
 hexify-0.8.2/hexify/tests/testthat/test-aperture-7.R              |   63 
 hexify-0.8.2/hexify/tests/testthat/test-aperture-mixed.R          |  514 ++-
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 hexify-0.8.2/hexify/tests/testthat/test-classes.R                 |  848 ++---
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 hexify-0.8.2/hexify/tests/testthat/test-core.R                    |  230 -
 hexify-0.8.2/hexify/tests/testthat/test-dggrid-compat-functions.R |    2 
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 hexify-0.8.2/hexify/tests/testthat/test-edge-cases.R              |only
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 hexify-0.8.2/hexify/tests/testthat/test-grid.R                    |  342 +-
 hexify-0.8.2/hexify/tests/testthat/test-hexify-function.R         |  951 ++---
 hexify-0.8.2/hexify/tests/testthat/test-hexify-heatmap.R          |   54 
 hexify-0.8.2/hexify/tests/testthat/test-hierarchical-index.R      |  304 +
 hexify-0.8.2/hexify/tests/testthat/test-icosahedron.R             |   51 
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 hexify-0.8.2/hexify/tests/testthat/test-index-utils.R             |   28 
 hexify-0.8.2/hexify/tests/testthat/test-index-z3.R                |  972 ++---
 hexify-0.8.2/hexify/tests/testthat/test-index-z7.R                |  158 
 hexify-0.8.2/hexify/tests/testthat/test-index-zorder.R            |  736 ++--
 hexify-0.8.2/hexify/tests/testthat/test-interactive.R             |only
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 hexify-0.8.2/hexify/tests/testthat/test-neighbors.R               |only
 hexify-0.8.2/hexify/tests/testthat/test-plot-methods.R            |  721 ++--
 hexify-0.8.2/hexify/tests/testthat/test-polygons.R                |    9 
 hexify-0.8.2/hexify/tests/testthat/test-projection-forward.R      |    2 
 hexify-0.8.2/hexify/tests/testthat/test-projection-inverse.R      |  734 ++--
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 hexify-0.8.2/hexify/tests/testthat/test-visualization.R           | 1574 ++++-----
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 hexify-0.8.2/hexify/vignettes/visualization.Rmd                   |   48 
 hexify-0.8.2/hexify/vignettes/workflows.Rmd                       |  156 
 222 files changed, 12989 insertions(+), 10022 deletions(-)

More information about hexify at CRAN
Permanent link

Package heims updated to version 0.4.3 with previous version 0.4.0 dated 2018-01-25

Title: Decode and Validate HEIMS Data from Department of Education, Australia
Description: Decode elements of the Australian Higher Education Information Management System (HEIMS) data for clarity and performance. HEIMS is the record system of the Department of Education, Australia to record enrolments and completions in Australia's higher education system, as well as a range of relevant information. For more information, including the source of the data dictionary, see <https://web.archive.org/web/20180210074903/http://heimshelp.education.gov.au/sites/heimshelp/dictionary/pages/data-element-dictionary>. That collection has since been superseded by the Tertiary Collection of Student Information, whose data element dictionary is at <https://www.tcsisupport.gov.au/element>.
Author: Hugh Parsonage [aut, cre]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

Diff between heims versions 0.4.0 dated 2018-01-25 and 0.4.3 dated 2026-08-22

 DESCRIPTION                             |   19 +-
 MD5                                     |   78 ++++----
 NAMESPACE                               |   96 ++++++----
 R/browse_elements.R                     |   40 ++--
 R/data-decoders.R                       |  186 ++++++++++----------
 R/decode_heims.R                        |  286 ++++++++++++++++----------------
 R/dummy_enrol.R                         |    8 
 R/first_levels.R                        |   12 -
 R/fread_heims.R                         |   52 ++---
 R/heims_data_dict.R                     |   48 ++---
 R/read_heims_fst.R                      |  161 +++++++++---------
 R/relevel_heims.R                       |   57 +++---
 R/rename_heims.R                        |  154 ++++++++---------
 R/utils.R                               |  222 ++++++++++++------------
 R/validate_elements.R                   |  255 ++++++++++++++--------------
 R/zzz.R                                 |   14 -
 README.md                               |    6 
 data/heims_data_dict.rda                |binary
 man/browse_elements.Rd                  |   40 ++--
 man/decode_heims.Rd                     |   78 ++++----
 man/decoders.Rd                         |  256 +++++++++++++++++-----------
 man/dummy_enrol.Rd                      |   30 +--
 man/element_decoders.Rd                 |   62 +++---
 man/element_validation.Rd               |   82 ++++-----
 man/first_levels.Rd                     |   30 +--
 man/fread_heims.Rd                      |   44 ++--
 man/heims_data_dict.Rd                  |   76 ++++----
 man/read_heims_fst.Rd                   |   36 ++--
 man/relevel_heims.Rd                    |   36 ++--
 man/utilities.Rd                        |  166 +++++++++---------
 tests/testthat.R                        |   16 -
 tests/testthat/test_TableA.R            |   12 -
 tests/testthat/test_browse_elements.R   |   14 -
 tests/testthat/test_decode_heims.R      |  285 +++++++++++++++++--------------
 tests/testthat/test_dictionary_format.R |   62 +++++-
 tests/testthat/test_element2name.R      |   14 -
 tests/testthat/test_read_heims_fst.R    |  138 +++++++--------
 tests/testthat/test_relevel_heims.R     |   32 +--
 tests/testthat/test_utils.R             |   66 +++----
 tests/testthat/test_validate_elements.R |  130 +++++++-------
 40 files changed, 1782 insertions(+), 1617 deletions(-)

More information about heims at CRAN
Permanent link

Package GRIN2 updated to version 2.1.0 with previous version 2.0.0 dated 2025-06-17

Title: Genomic Random Interval (GRIN)
Description: Implements the Genomic Random Interval (GRIN) framework for identifying genomic loci affected by genomic lesions more frequently than expected by chance. Supports multiple lesion classes, lesion constellation analysis, exon-level target-size modeling, genomic lesion visualization, and gene-level association analyses linking genomic lesions or gene expression with binary and time-to-event clinical outcomes. Includes tools for retrieving versioned GRCh38 Ensembl gene, exon, and regulatory-element annotations. The statistical framework is described in Pounds et al. (2013) <doi:10.1093/bioinformatics/btt372>.
Author: Abdelrahman Elsayed [aut, cre, cph] , Xueyuan Cao [aut], Lakshmi Anuhya Patibandla [aut], Stanley Pounds [aut, cph]
Maintainer: Abdelrahman Elsayed <aelsayed@stjude.org>

Diff between GRIN2 versions 2.0.0 dated 2025-06-17 and 2.1.0 dated 2026-08-22

 DESCRIPTION                            |   64 
 MD5                                    |  203 -
 NAMESPACE                              |   24 
 NEWS.md                                |   31 
 R/KW.hit.express.R                     |  161 +
 R/alex.boxplots.R                      |  132 -
 R/alex.pathway.R                       |  188 +
 R/alex.prep.lsn.expr.R                 |  204 +
 R/alex.waterfall.plot.R                |  183 +
 R/alex.waterfall.prep.R                |  136 -
 R/clin_data.R                          |   43 
 R/compute.gw.coordinates.R             |   91 
 R/count.hits.R                         |  194 +
 R/default.grin.colors.R                |   38 
 R/define.grps.R                        |    6 
 R/dist.lsn.R                           |    8 
 R/example_exon_annotation.R            |only
 R/expr_data.R                          |   16 
 R/find.gene.lsn.overlaps.R             |  183 +
 R/genomewide.log10q.plot.R             |  265 +-
 R/genomewide.lsn.plot.R                |  257 +-
 R/get.chrom.length.R                   |   49 
 R/get.ensembl.annotation.R             |  356 ++
 R/globals.R                            |only
 R/grin.assoc.expr.outcome.R            |only
 R/grin.assoc.lsn.outcome.R             | 1016 +++++---
 R/grin.barplt.R                        |  196 +
 R/grin.logRank.R                       |only
 R/grin.lsn.boundaries.R                |  163 -
 R/grin.oncoprint.mtx.R                 |  347 ++
 R/grin.results.R                       |only
 R/grin.stats.R                         |  305 +-
 R/grin.stats.lsn.plot.R                |  537 ++--
 R/grin2.annotation.resources.R         |only
 R/grin2.retrieve.annotation.resource.R |only
 R/hg38_chrom_size.R                    |   16 
 R/hg38_cytoband.R                      |   27 
 R/hg38_exon_chrom_size.R               |only
 R/hg38_gene_annotation.R               |   40 
 R/lesion_data.R                        |   34 
 R/lsn.transcripts.plot.R               | 1891 +++++++++------
 R/onco.print.alter.func.R              |   75 
 R/onco.print.props.R                   |  159 +
 R/oncoprint.legend.R                   |   31 
 R/one.KW.pvalue.R                      |    1 
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Package GPArotation updated to version 2026.8-2 with previous version 2026.8-1 dated 2026-08-03

Title: Gradient Projection Factor Rotation
Description: Gradient projection algorithms for orthogonal and oblique rotation of factor loadings matrices in factor analysis. Implements a comprehensive set of rotation criteria including quartimax, quartimin, oblimin, geomin, simplimax, the Crawford-Ferguson family, and target rotation, among others. Supports multiple random starts. For details see Bernaards and Jennrich (2005) <doi:10.1177/0013164404272507>.
Author: Coen Bernaards [aut, cre], Paul Gilbert [aut], Robert Jennrich [aut]
Maintainer: Coen Bernaards <cab.gparotation@gmail.com>

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Package funcml updated to version 0.9.0 with previous version 0.7.1 dated 2026-04-21

Title: Functional Machine Learning Framework
Description: A compact and explicit machine learning framework for supervised learning, resampling-based evaluation, hyperparameter tuning, learner comparison, interpretation, and plug-in g-computation. The package uses standard formulas for model specification and provides stable S3 interfaces for fitting, evaluation, tuning, interpretation, and causal estimation across a learner registry with multiple backend engines. Implemented interpretation methods build on established approaches such as permutation-based variable importance, partial dependence, individual conditional expectation, accumulated local effects, SHAP, and LIME; see Friedman (2001) <doi:10.1214/aos/1013203451>, Goldstein et al. (2015) <doi:10.1080/10618600.2014.907095>, Apley and Zhu (2020) <doi:10.1111/rssb.12377>, Lundberg and Lee (2017) <doi:10.48550/arXiv.1705.07874>, and Ribeiro et al. (2016) <doi:10.48550/arXiv.1602.04938>. The framework is intentionally opinionated: preprocessing is expected to [...truncated...]
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>

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Package eiIT updated to version 0.0.2-1 with previous version 0.0.1-1 dated 2026-06-01

Title: Ecological Inference via Information Theory
Description: Estimates RxC transfer matrices from aggregated marginal data using a two-stage (GME+IPF; Generalized Maximum Entropy and Iterative Proportional Fitting) information-theoretic approach within a two-step (global+local) estimation procedure. The resulting matrices are consistent with observed row and column marginals across collections of subtables (e.g. precincts, polling stations, or districts). References: Golan, A., Judge, G., & Miller, D. (1996). Maximum Entropy Econometrics: Robust Estimation with Limited Data. Wiley. Judge, G., Miller, D.J., & Cho, W.K.T. (2004). "An information theoretic approach to ecological estimation and inference". In G. King, O. Rosen, & M. A. Tanner (Eds.), Ecological Inference: New Methodological Strategies (pp. 162–187). Cambridge University Press. Mittelhammer, R., Judge, G., & Miller, D. (2000). Econometric Foundations. Cambridge University Press. Pavia, J.M. (2023) <doi:10.1007/s43545-023-00658-y> Acknowledgements: The author wis [...truncated...]
Author: Jose M. Pavia [aut, cre]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>

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Package coursekata readmission to version 0.20.1 with previous version 0.19.2 dated 2026-03-10

Title: Packages and Functions for 'CourseKata' Courses
Description: Easily install and load all packages and functions used in 'CourseKata' courses. Aid teaching with helper functions and augment generic functions to provide cohesion between the network of packages. Learn more about 'CourseKata' at <https://www.coursekata.org>.
Author: Adam Blake [cre, aut] , Ji Son [aut] , Jim Stigler [aut] , CourseKata [cph]
Maintainer: Adam Blake <adam@coursekata.org>

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Package colorr updated to version 1.1.0 with previous version 1.0.0 dated 2017-02-20

Title: Color Palettes for Soccer, MLB, NBA, WNBA, NHL, and NFL Teams
Description: Current-season color palettes for soccer clubs in the English Premier League ('EPL'), 'LaLiga', 'Serie A', the 'Bundesliga', 'Ligue 1' and Major League Soccer ('MLS'), and for Major League Baseball ('MLB'), National Basketball Association ('NBA'), Women's National Basketball Association ('WNBA'), National Hockey League ('NHL') and National Football League ('NFL') teams. Palettes are returned as named character vectors of hex colors, and as 'ggplot2' colour and fill scales. The palettes shipped in earlier versions of the package remain available so that older figures stay reproducible.
Author: Charles Crabtree [aut, cre]
Maintainer: Charles Crabtree <charles.crabtree@monash.edu>

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Package capn readmission to version 2.0.0 with previous version 1.0.0 dated 2017-06-05

Title: Capital Asset Pricing for Nature
Description: Implements the natural capital asset pricing for nature (CAPN) approach, using a collocation or iteration method and associated functions for dynamic programs. Development of this package was supported by the Knobloch Family Foundation and Lenfest Ocean Program Contract ID 00029728.
Author: Seong D. Yun [aut, cre], Eli P. Fenichel [aut, ctb], Joshua K. Abbott [aut, ctb]
Maintainer: Seong D. Yun <yunsd2004@gmail.com>

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Package bsvars updated to version 4.0 with previous version 3.2 dated 2024-10-24

Title: Bayesian Estimation of Structural Vector Autoregressive Models
Description: Provides fast and efficient procedures for Bayesian analysis of Structural Vector Autoregressions. This package estimates a wide range of models, including homo-, heteroskedastic, and non-normal specifications. Structural models can be identified by adjustable exclusion restrictions, time-varying volatility, or non-normality, and include exclusion restrictions on autoregressive parameters. They all include a flexible three-level equation-specific local-global hierarchical prior distribution for the estimated level of shrinkage for autoregressive and structural parameters. Additionally, the package facilitates predictive and structural analyses such as impulse responses, forecast error variance and historical decompositions, forecasting, verification of heteroskedasticity, non-normality, and hypotheses on autoregressive parameters, as well as analyses of structural shocks, volatilities, and fitted values. Beautiful plots, informative summary functions, and extensive documentation includ [...truncated...]
Author: Tomasz Wozniak [aut, cre] , Fei Shang [ctb] , introduced major code corrections and improvements), Helmut Luetkepohl [ctb] ), Luis Uzeda [ctb] ), Xiaolei Wang [ctb] , Bruno Cavalcante [ctb]
Maintainer: Tomasz Wozniak <wozniak.tom@pm.me>

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 bsvars-4.0/bsvars/man/verify_volatility.Rd                                    |    7 
 bsvars-4.0/bsvars/src/Makevars                                                |    4 
 bsvars-4.0/bsvars/src/Makevars.win                                            |    4 
 bsvars-4.0/bsvars/src/RcppExports.cpp                                         |  605 ++++--
 bsvars-4.0/bsvars/src/bsvar.cpp                                               |   63 
 bsvars-4.0/bsvars/src/bsvar.h                                                 |    2 
 bsvars-4.0/bsvars/src/bsvarTOOLs.cpp                                          |   74 
 bsvars-4.0/bsvars/src/bsvarTOOLs.h                                            |   17 
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 bsvars-4.0/bsvars/src/bsvar_msh.h                                             |    4 
 bsvars-4.0/bsvars/src/bsvar_sv.cpp                                            |   83 
 bsvars-4.0/bsvars/src/bsvar_sv.h                                              |    2 
 bsvars-4.0/bsvars/src/bsvar_t.cpp                                             |   64 
 bsvars-4.0/bsvars/src/bsvar_t.h                                               |    1 
 bsvars-4.0/bsvars/src/forecast.cpp                                            |  112 +
 bsvars-4.0/bsvars/src/forecast.h                                              |   14 
 bsvars-4.0/bsvars/src/msh.cpp                                                 |  180 +
 bsvars-4.0/bsvars/src/msh.h                                                   |   23 
 bsvars-4.0/bsvars/src/normalisation.cpp                                       |    4 
 bsvars-4.0/bsvars/src/normalisation.h                                         |    6 
 bsvars-4.0/bsvars/src/sample_ABhyper.cpp                                      |   44 
 bsvars-4.0/bsvars/src/sample_ABhyper.h                                        |   27 
 bsvars-4.0/bsvars/src/sample_t.cpp                                            |   88 
 bsvars-4.0/bsvars/src/sample_t.h                                              |   19 
 bsvars-4.0/bsvars/src/sv.cpp                                                  |    2 
 bsvars-4.0/bsvars/src/verify.cpp                                              |  126 +
 bsvars-4.0/bsvars/src/verify.h                                                |    8 
 bsvars-4.0/bsvars/vignettes/pdf/bsvars.pdf                                    |binary
 281 files changed, 8844 insertions(+), 6102 deletions(-)

More information about bsvars at CRAN
Permanent link

Package autoplotly readmission to version 0.1.7 with previous version 0.1.4 dated 2021-04-18

Title: Automatic Generation of Interactive Visualizations for Statistical Results
Description: Functionalities to automatically generate interactive visualizations for statistical results supported by 'ggfortify', such as time series, PCA, clustering and survival analysis, with 'plotly.js' <https://plotly.com/> and 'ggplot2' style. The generated visualizations can also be easily extended using 'ggplot2' and 'plotly' syntax while staying interactive.
Author: Yuan Tang [aut, cre]
Maintainer: Yuan Tang <terrytangyuan@gmail.com>

This is a re-admission after prior archival of version 0.1.4 dated 2021-04-18

Diff between autoplotly versions 0.1.4 dated 2021-04-18 and 0.1.7 dated 2026-08-22

 DESCRIPTION               |    8 -
 MD5                       |   24 +--
 NAMESPACE                 |    1 
 NEWS.md                   |   21 ++
 R/autoplotly.R            |   96 ++++++++++++
 R/generic_methods.R       |   27 +++
 build/vignette.rds        |binary
 inst/CITATION             |   26 ++-
 inst/doc/intro.Rmd        |   16 ++
 inst/doc/intro.html       |  344 +++++++++++++++++-----------------------------
 man/autoplotly.Rd         |   22 ++
 tests/testthat/test_all.R |   61 +++++++-
 vignettes/intro.Rmd       |   16 ++
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Permanent link

Package actinet updated to version 0.4.0 with previous version 0.2.0 dated 2026-08-05

Title: Estimate Human Activity from Accelerometry Data
Description: Interfaces the 'actinet' Python module <https://github.com/OxWearables/actinet> for an activity classification model based on self-supervised learning for wrist-worn accelerometer data.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between actinet versions 0.2.0 dated 2026-08-05 and 0.4.0 dated 2026-08-22

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Package pcv updated to version 1.2.0 with previous version 1.1.0 dated 2023-08-12

Title: Procrustes Cross-Validation
Description: Implements Procrustes cross-validation method for Principal Component Analysis, Principal Component Regression and Partial Least Squares regression models. S. Kucheryavskiy (2023) <doi:10.1016/j.aca.2023.341096>.
Author: Sergey Kucheryavskiy [aut, cre]
Maintainer: Sergey Kucheryavskiy <svkucheryavski@gmail.com>

Diff between pcv versions 1.1.0 dated 2023-08-12 and 1.2.0 dated 2026-08-22

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Package gorica updated to version 0.1.6 with previous version 0.1.5 dated 2026-02-12

Title: Evaluation of Inequality Constrained Hypotheses Using GORICA
Description: Implements the generalized order-restricted information criterion approximation (GORICA), an AIC-like information criterion that can be utilized to evaluate informative hypotheses specifying directional relationships between model parameters in terms of (in)equality constraints (see Altinisik, Van Lissa, Hoijtink, Oldehinkel, & Kuiper, 2021), <doi:10.31234/osf.io/t3c8g>. The GORICA is applicable not only to normal linear models, but also to generalized linear models (GLMs), generalized linear mixed models (GLMMs), structural equation models (SEMs), and contingency tables. For contingency tables, restrictions on cell probabilities can be non-linear.
Author: Rebecca M. Kuiper [aut], Altinisik Yasin [aut], Vanbrabant Leonard [ctb], Caspar J. van Lissa [aut, cre]
Maintainer: Caspar J. van Lissa <c.j.vanlissa@tilburguniversity.edu>

Diff between gorica versions 0.1.5 dated 2026-02-12 and 0.1.6 dated 2026-08-22

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Package glyrepr updated to version 1.0.0 with previous version 0.14.0 dated 2026-07-21

Title: Representation for Glycan Compositions and Structures
Description: Computational representations of glycan compositions and structures, including details such as linkages, anomers, and substituents. Supports varying levels of monosaccharide specificity (e.g., "Hex" or "Gal") and ambiguous linkages. Provides robust parsing and generation of IUPAC-condensed structure strings. Optimized for vectorized operations on glycan structures, with efficient handling of duplications. As the cornerstone of the glycoverse ecosystem, this package delivers the foundational data structures that power glycomics and glycoproteomics analysis workflows.
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

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Package dann updated to version 1.2.0 with previous version 1.1.0 dated 2026-04-25

Title: Discriminant Adaptive Nearest Neighbor Classification
Description: Discriminant Adaptive Nearest Neighbor Classification is a variation of k nearest neighbors where the shape of the neighborhood is data driven. The neighborhood is elongated along class boundaries and shrunk in the orthogonal direction. This package implements dann and sub_dann from Hastie (1996) <https://web.stanford.edu/~hastie/Papers/dann_IEEE.pdf>.
Author: Greg McMahan [aut, cre]
Maintainer: Greg McMahan <gmcmacran@gmail.com>

Diff between dann versions 1.1.0 dated 2026-04-25 and 1.2.0 dated 2026-08-22

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More information about dann at CRAN
Permanent link

Package scITD (with last version 1.0.4) was removed from CRAN

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

2023-09-08 1.0.4
2022-03-25 1.0.2
2022-01-28 1.0.1
2021-11-03 1.0.0

Permanent link
Package BioUtils (with last version 0.1.3) was removed from CRAN

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

2026-05-22 0.1.3

Permanent link
Package rtika (with last version 3.2.3) was removed from CRAN

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

2025-10-12 3.2.3
2023-05-04 2.7.0
2022-09-26 2.4.1

Permanent link
Package sreg updated to version 2.1.0 with previous version 2.0.2 dated 2025-08-25

Title: Stratified Randomized Experiments
Description: Estimate average treatment effects (ATEs) in stratified randomized experiments. 'sreg' supports a wide range of stratification designs, including matched pairs, n-tuple designs, and larger strata with many units — possibly of unequal size across strata. 'sreg' is designed to accommodate scenarios with multiple treatments and cluster-level treatment assignments, and accommodates optimal linear covariate adjustment based on baseline observable characteristics. 'sreg' computes estimators and standard errors based on Bugni, Canay, Shaikh (2018) <doi:10.1080/01621459.2017.1375934>; Bugni, Canay, Shaikh, Tabord-Meehan (2024+) <doi:10.48550/arXiv.2204.08356>; Jiang, Linton, Tang, Zhang (2023+) <doi:10.48550/arXiv.2201.13004>; Bai, Jiang, Romano, Shaikh, and Zhang (2024) <doi:10.1016/j.jeconom.2024.105740>; Bai (2022) <doi:10.1257/aer.20201856>; Bai, Romano, and Shaikh (2022) <doi:10.1080/01621459.2021.1883437>; Liu (2024+) <doi:10.48550/arXiv.2301.09016& [...truncated...]
Author: Juri Trifonov [aut, cre, cph], Yuehao Bai [aut], Azeem Shaikh [aut], Max Tabord-Meehan [aut]
Maintainer: Juri Trifonov <jutrifonov@u.northwestern.edu>

Diff between sreg versions 2.0.2 dated 2025-08-25 and 2.1.0 dated 2026-08-22

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Package shinyds updated to version 0.5.0 with previous version 0.3.0 dated 2026-06-08

Title: 'Shiny' Bindings for Designsystemet Components
Description: Provides 'R' wrappers for the Designsystemet component library <https://designsystemet.no>, enabling use of Norwegian government design system components in 'Shiny' applications. Includes web components and CSS-based HTML components with full 'Shiny' input binding support.
Author: Novica Nakov [aut, cre, cph]
Maintainer: Novica Nakov <nnovica@gmail.com>

Diff between shinyds versions 0.3.0 dated 2026-06-08 and 0.5.0 dated 2026-08-22

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Package polite readmission to version 0.1.4 with previous version 0.1.4 dated 2026-05-11

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

This is a re-admission after prior archival of version 0.1.4 dated 2026-05-11

Diff between polite versions 0.1.4 dated 2026-05-11 and 0.1.4 dated 2026-08-22

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Package wal updated to version 0.2.1 with previous version 0.1.1 dated 2024-02-02

Title: Read and Write 'wal' Bitmap Image Files and Other 'Quake' Assets
Description: Read 'Quake' assets including bitmap images and textures in 'wal' file format. This package also provides support for extracting these assets from 'WAD' and 'PAK' file archives. It can also read models in 'MDL' and 'MD2' formats.
Author: Tim Schaefer [aut, cre]
Maintainer: Tim Schaefer <ts+code@rcmd.org>

Diff between wal versions 0.1.1 dated 2024-02-02 and 0.2.1 dated 2026-08-22

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Package naivereg updated to version 1.0.7 with previous version 1.0.5 dated 2020-03-18

Title: Nonparametric Additive Instrumental Variable Estimator and Related IV Methods
Description: In empirical studies, instrumental variable (IV) regression is the signature method to solve the endogeneity problem. If we enforce the exogeneity condition of the IV, it is likely that we end up with a large set of IVs without knowing which ones are good. Also, one could face the model uncertainty for structural equation, as large micro dataset is commonly available nowadays. This package uses adaptive group lasso and B-spline methods to select the nonparametric components of the IV function, with the linear function being a special case (naivereg). The package also incorporates two stage least squares estimator (2SLS), generalized method of moment (GMM), generalized empirical likelihood (GEL) methods post instrument selection, logistic-regression instrumental variables estimator (LIVE, for dummy endogenous variable problem), double-selection plus instrumental variable estimator (DS-IV) and double selection plus logistic regression instrumental variable estimator (DS-LIVE), where the [...truncated...]
Author: Qingliang Fan [aut, cre], KongYu He [aut], Wei Zhong [aut]
Maintainer: Qingliang Fan <michaelqfan@xmu.edu.cn>

Diff between naivereg versions 1.0.5 dated 2020-03-18 and 1.0.7 dated 2026-08-22

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2025-07-17 2.1.5
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2020-03-09 1.0.1
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Package TMB updated to version 1.9.25 with previous version 1.9.23 dated 2026-07-23

Title: Template Model Builder: A General Random Effect Tool Inspired by 'ADMB'
Description: With this tool, a user should be able to quickly implement complex random effect models through simple C++ templates. The package combines 'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain an efficient implementation of the applied Laplace approximation with exact derivatives. Key features are: Automatic sparseness detection, parallelism through 'BLAS' and parallel user templates.
Author: Kasper Kristensen [aut, cre, cph], Brad Bell [cph], Hans Skaug [ctb], Arni Magnusson [ctb], Casper Berg [ctb], Anders Nielsen [ctb], Martin Maechler [ctb], Theo Michelot [ctb], Mollie Brooks [ctb], Alex Forrence [ctb], Christoffer Moesgaard Albertsen [...truncated...]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

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Package screenshot updated to version 0.9.3 with previous version 0.9.2 dated 2025-08-26

Title: Take Screenshots (Screen Capture) from R Command
Description: Take screenshots from R command and locate an image position.
Author: Toshikazu Matsumura [aut, cre]
Maintainer: Toshikazu Matsumura <matutosi@gmail.com>

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Package projectLSA updated to version 0.1.1 with previous version 0.0.9 dated 2026-05-09

Title: Shiny Application for Latent Structure Analysis with a Graphical User Interface
Description: Provides an interactive Shiny-based toolkit for conducting latent structure analyses, including Latent Profile Analysis (LPA), Latent Class Analysis (LCA), Latent Trait Analysis (LTA/IRT), Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). The implementation is grounded in established methodological frameworks: LPA is supported through 'tidyLPA' (Rosenberg et al., 2018) <doi:10.21105/joss.00978>, LCA through 'poLCA' (Linzer & Lewis, 2011) <doi:10.32614/CRAN.package.poLCA> & 'glca' (Kim & Kim, 2024) <doi:10.32614/CRAN.package.glca>, LTA/IRT via 'mirt' (Chalmers, 2012) <doi:10.18637/jss.v048.i06>, and EFA via 'psych' (Revelle, 2025). SEM and CFA functionalities build upon the 'lavaan' framework (Rosseel, 2012) <doi:10.18637/jss.v048.i02>. The CFA/SEM module additionally supports multi-group invariance testing, latent growth modelling, modification indices, and path diagram visualisation. [...truncated...]
Author: Hasan Djidu [aut, cre] , Heri Retnawati [ctb] , Samsul Hadi [ctb] , Haryanto [ctb]
Maintainer: Hasan Djidu <hasandjidu@gmail.com>

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Package ecan updated to version 0.2.2 with previous version 0.2.1 dated 2023-07-07

Title: Ecological Analysis and Visualization
Description: Support ecological analyses such as ordination and clustering. Contains consistent and easy wrapper functions of 'stat', 'vegan', and 'labdsv' packages, and visualisation functions of ordination and clustering.
Author: Toshikazu Matsumura [aut, cre]
Maintainer: Toshikazu Matsumura <matutosi@gmail.com>

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Package Ropj updated to version 0.3-7 with previous version 0.3-6 dated 2025-03-15

Title: Import Origin(R) Project Files
Description: Read the data from Origin(R) project files ('*.opj') <https://www.originlab.com/doc/User-Guide/Origin-File-Types>. No write support is planned.
Author: Miquel Garriga [aut], Stefan Gerlach [aut], Ion Vasilief [aut], Alex Kargovsky [aut], Knut Franke [ctb], Alexander Semke [ctb], Tilman Benkert [ctb], Kasper Peeters [ctb], Russell Standish [ctb], Mehdi Chinoune [ctb], Ivan Krylov [cre]
Maintainer: Ivan Krylov <ikrylov@disroot.org>

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Package semFromKeys updated to version 0.5.2 with previous version 0.3.0 dated 2026-07-30

Title: Run 'lavaan' Models from Keys Lists
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.
Author: Timothy F. Bainbridge [aut, cre, cph]
Maintainer: Timothy F. Bainbridge <tfbainbridge@gmail.com>

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Package mipfp updated to version 3.2.3 with previous version 3.2.1 dated 2018-08-29

Title: Multidimensional Iterative Proportional Fitting and Alternative Models
Description: An implementation of the iterative proportional fitting (IPFP), maximum likelihood, minimum chi-square and weighted least squares procedures for updating a N-dimensional array with respect to given target marginal distributions (which, in turn can be multidimensional). The package also provides an application of the IPFP to simulate multivariate Bernoulli distributions.
Author: Johan Barthelemy [aut, cre], Thomas Suesse [aut], Mohammad Namazi-Rad [ctb]
Maintainer: Johan Barthelemy <johan@uow.edu.au>

Diff between mipfp versions 3.2.1 dated 2018-08-29 and 3.2.3 dated 2026-08-22

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Package ggstatsplot updated to version 1.1.0 with previous version 1.0.0 dated 2026-04-23

Title: 'ggplot2' Based Plots with Statistical Details
Description: Extension of 'ggplot2', 'ggstatsplot' creates graphics with details from statistical tests included in the plots themselves. It provides an easier syntax to generate information-rich plots for statistical analysis of continuous (violin plots, scatterplots, histograms, dot plots, dot-and-whisker plots) or categorical (pie and bar charts) data. Currently, it supports the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA, correlation analyses, contingency table analysis, meta-analysis, and regression analyses. References: Patil (2021) <doi:10.21105/joss.03236>.
Author: Indrajeet Patil [cre, aut, cph]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package colorrepel updated to version 0.5.2 with previous version 0.5.0 dated 2026-07-13

Title: Repel Visually Similar Colors for Colorblind Users in Various Plots
Description: Iterate and repel visually similar colors away in various 'ggplot2' plots. When many groups are plotted at the same time on multiple axes, for instance stacked bars or scatter plots, effectively ordering colors becomes difficult. This tool iterates through color combinations to find the best solution to maximize visual distinctness of nearby groups, so plots are more friendly toward colorblind users. This is achieved by two distance measurements, distance between groups within the plot, and CIELAB color space distances between colors as described in Carter et al., (2018) <doi:10.25039/TR.015.2018>.
Author: Rui Fu [cre, aut, cph]
Maintainer: Rui Fu <raysinensis@gmail.com>

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Package polarzonoid updated to version 0.4-0 with previous version 0.3-0 dated 2026-01-11

Title: Compute Maps and Properties of Polar Zonoids
Description: In each odd dimension is a convex body - the polar zonoid - whose generating functions are trigonometric polynomials. The polar zonoid is a straightforward generalization of the polar zonohedron in dimension 3, as defined by Chilton and Coxeter (1963) <doi:10.2307/2313051>. The package has some applications of the polar zonoid, including the properties of configuration spaces of arcs on the circle and 3x3 rotation matrices. There is also a root solver for trigonometric polynomials.
Author: Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

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Package nimble updated to version 1.4.3 with previous version 1.4.2 dated 2026-04-01

Title: MCMC, Particle Filtering, and Programmable Hierarchical Modeling
Description: A system for writing hierarchical statistical models largely compatible with 'BUGS' and 'JAGS', writing nimbleFunctions to operate models and do basic R-style math, and compiling both models and nimbleFunctions via custom-generated C++. 'NIMBLE' includes default methods for MCMC, Laplace Approximation, deterministic nested approximations, Monte Carlo Expectation Maximization, and some other tools. The nimbleFunction system makes it easy to do things like implement new MCMC samplers from R, customize the assignment of samplers to different parts of a model from R, and compile the new samplers automatically via C++ alongside the samplers 'NIMBLE' provides. 'NIMBLE' extends the 'BUGS'/'JAGS' language by making it extensible: New distributions and functions can be added, including as calls to external compiled code. Although most people think of MCMC as the main goal of the 'BUGS'/'JAGS' language for writing models, one can use 'NIMBLE' for writing arbitrary other kinds of model-generic al [...truncated...]
Author: Perry de Valpine [aut], Christopher Paciorek [aut, cre], Daniel Turek [aut], Nick Michaud [aut], Cliff Anderson-Bergman [aut], Fritz Obermeyer [aut], Claudia Wehrhahn Cortes [aut] , Abel Rodriguez [aut] , Duncan Temple Lang [aut] , Wei Zhang [aut] , [...truncated...]
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>

Diff between nimble versions 1.4.2 dated 2026-04-01 and 1.4.3 dated 2026-08-22

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