Wed, 16 Sep 2026

Package lpl updated to version 0.16 with previous version 0.15 dated 2026-09-12

Title: Local Partial Likelihood Estimation and Simultaneous Confidence Band
Description: Local partial likelihood estimation by Fan, Lin and Zhou(2006)<doi:10.1214/009053605000000796> and simultaneous confidence band is a set of tools to test the covariates-biomarker interaction for survival data. Test for the covariates-biomarker interaction using the bootstrap method and the asymptotic method with simultaneous confidence band (Liu, Jiang and Chen (2015)<doi:10.1002/sim.6563>).
Author: Bingshu E. Chen [aut, cre], Yicong Liu [aut], Siwei Zhang [aut], Teng Wen [aut], Wenyu Jiang [aut]
Maintainer: Bingshu E. Chen <bingshu.chen@queensu.ca>

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More information about lpl at CRAN
Permanent link

Package MatchIt updated to version 4.8.0 with previous version 4.7.2 dated 2025-05-30

Title: Nonparametric Preprocessing for Parametric Causal Inference
Description: Selects matched samples of the original treated and control groups with similar covariate distributions -- can be used to match exactly on covariates, to match on propensity scores, or perform a variety of other matching procedures. The package also implements a series of recommendations offered in Ho, Imai, King, and Stuart (2007) <DOI:10.1093/pan/mpl013>. (The 'gurobi' package, which is not on CRAN, is optional and comes with an installation of the Gurobi Optimizer, available at <https://www.gurobi.com>.)
Author: Daniel Ho [aut] , Kosuke Imai [aut] , Gary King [aut] , Elizabeth Stuart [aut] , Alex Whitworth [ctb], Noah Greifer [cre, aut]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

Diff between MatchIt versions 4.7.2 dated 2025-05-30 and 4.8.0 dated 2026-09-16

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More information about MatchIt at CRAN
Permanent link

Package writeAlizer updated to version 1.7.4 with previous version 1.7.3 dated 2026-02-17

Title: Generate Predicted Writing Quality Scores
Description: Imports variables from 'ReaderBench' (Dascalu et al., 2018)<doi:10.1007/978-3-319-66610-5_48>, 'Coh-Metrix' (McNamara et al., 2014)<doi:10.1017/CBO9780511894664>, and/or 'GAMET' (Crossley et al., 2019) <doi:10.17239/jowr-2019.11.02.01> output files; downloads predictive scoring models described in Mercer & Cannon (2022)<doi:10.31244/jero.2022.01.03> and Mercer et al.(2021)<doi:10.1177/0829573520987753>; and generates predicted writing quality and curriculum-based measurement (McMaster & Espin, 2007)<doi:10.1177/00224669070410020301> scores.
Author: Sterett H. Mercer [aut, cre]
Maintainer: Sterett H. Mercer <sterett.mercer@ubc.ca>

Diff between writeAlizer versions 1.7.3 dated 2026-02-17 and 1.7.4 dated 2026-09-16

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More information about writeAlizer at CRAN
Permanent link

Package vectra updated to version 0.12.4 with previous version 0.12.3 dated 2026-09-14

Title: Columnar Query Engine for Larger-than-RAM Data
Description: A minimal columnar query engine with lazy execution on datasets larger than RAM. Provides 'dplyr'-like verbs (filter(), select(), mutate(), group_by(), summarise(), joins, window functions) and common aggregations (n(), sum(), mean(), min(), max(), sd(), first(), last()) backed by a pure C11 pull-based execution engine and a custom on-disk format ('.vtr'). Reads and writes 'GeoTIFF' (including tiled and 'BigTIFF' layouts) and a tiled raster format ('.vec') with overview pyramids and time cubes for larger-than-RAM raster data. Streams vector operations (spatial transforms, point-in-polygon and nearest-feature joins including a two-sided grid-partitioned join, select-by-location, clip, erase, dissolve, 'rasterization', 'polygonization', and contouring) through 'sf', and runs raster operations (zonal statistics, focal windows, terrain derivatives, resample or 'reproject' warp, polygon masking, map algebra, and 'mosaicking') in native C or over the tiled '.vec' format, one batch or tile at [...truncated...]
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

Diff between vectra versions 0.12.3 dated 2026-09-14 and 0.12.4 dated 2026-09-16

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More information about vectra at CRAN
Permanent link

Package UKFE updated to version 2.15.0 with previous version 2.0.2 dated 2026-06-19

Title: UK Flood Estimation
Description: Functions to implement the methods of the Flood Estimation Handbook (FEH), associated updates and the revitalised flood hydrograph model (ReFH). Currently the package uses NRFA peak flow dataset version 15. Aside from FEH functionality, further hydrological functions are available. Most of the methods implemented in this package are described in one or more of the following: "Flood Estimation Handbook", Centre for Ecology & Hydrology (1999, ISBN:0 948540 94 X). "Flood Estimation Handbook Supplementary Report No. 1", Kjeldsen (2007, ISBN:0 903741 15 7). "Regional Frequency Analysis - an approach based on L-moments", Hosking & Wallis (1997, ISBN: 978 0 521 01940 8). "Making better use of local data in flood frequency estimation", Environment Agency (2017, ISBN: 978 1 84911 387 8). "Sampling uncertainty of UK design flood estimation" , Hammond (2021, <doi:10.2166/nh.2021.059>). "The FEH 2025 statistical method update", UK Centre for Ecology and Hydrology (2025). "Low flow es [...truncated...]
Author: Anthony Hammond [aut, cre], Sam Clayton [ctb]
Maintainer: Anthony Hammond <agqhammond@gmail.com>

Diff between UKFE versions 2.0.2 dated 2026-06-19 and 2.15.0 dated 2026-09-16

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More information about UKFE at CRAN
Permanent link

Package textreg updated to version 0.1.6 with previous version 0.1.5 dated 2018-10-04

Title: n-Gram Text Regression, aka Concise Comparative Summarization
Description: Function for sparse regression on raw text, regressing a labeling vector onto a feature space consisting of all possible phrases.
Author: Luke Miratrix [aut, cre]
Maintainer: Luke Miratrix <luke_miratrix@gse.harvard.edu>

Diff between textreg versions 0.1.5 dated 2018-10-04 and 0.1.6 dated 2026-09-16

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Package SPINA updated to version 5.1.0 with previous version 4.1.0 dated 2018-03-21

Title: Structure Parameter Inference Approach
Description: SPINA (Structure Parameter Inference Approach) is a methodology to calculate constant structure parameters of endocrine homeostatic systems from steady-state hormone and metabolite concentrations. Methods and equations for thyroid homeostasis (SPINA Thyr) have been described in Dietrich et al. (2012) <doi:10.1155/2012/351864> and Dietrich et al. (2016) <doi:10.3389/fendo.2016.00057>, and for glucose homeostasis (SPINA Carb) in Dietrich et al. (2022) <doi:10.1038/s41598-022-22531-3> and Dietrich et al. (2024) <doi:10.1111/1753-0407.13525>.
Author: Johannes W. Dietrich [aut, cph, cre] , Eleni Karamitrou [ctb] , Bernhard O. Boehm [ctb]
Maintainer: Johannes W. Dietrich <johannes.dietrich@ruhr-uni-bochum.de>

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Package sclValid updated to version 0.1.1 with previous version 0.1.0 dated 2026-09-12

Title: Ensemble Validation and Ranking of Clustering Methods
Description: Provides methods for evaluating and comparing clustering results, with an emphasis on sample-level clustering where observations are treated as the units being clustered and perturbation is performed by removing samples. The package implements internal, stability, and external validation measures and supports the comparison and ranking of clustering procedures across tuning parameter choices. It is conceptually related to the 'clValid' package, which assesses clustering stability by perturbing features; in contrast, this package focuses on perturbing the samples being clustered, making the validation framework suitable for applications such as single-cell clustering where samples or cells are the primary units of interest. Methods are based in part on Visser and Datta (2025) <doi:10.1002/sim.70331>.
Author: Owen Visser [aut, cre], Somnath Datta [aut, ctb], Justina ZurauskienÄ— [ctb] , Christopher Yau [ctb]
Maintainer: Owen Visser <owviss@gmail.com>

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Package richCluster updated to version 2.0.0 with previous version 1.0.2 dated 2025-12-18

Title: Fast, Robust Clustering Algorithms for Gene Enrichment Data
Description: Clusters functionally related biological terms from gene set enrichment results. Terms are compared by the overlap of their gene sets using Cohen's kappa, the Jaccard index, or the Dice coefficient, and the resulting similarity matrix is grouped either by agglomerative hierarchical clustering with single, complete, average, or Ward linkage, or by the seed-and-merge procedure of the 'DAVID' functional classification tool. The distance and clustering routines are written in 'C++' for speed. The methods are described in Huang et al. (2007) <doi:10.1186/gb-2007-8-9-r183>, Ward (1963) <doi:10.1080/01621459.1963.10500845>, Cohen (1960) <doi:10.1177/001316446002000104>, and Jaccard (1912) <doi:10.1111/j.1469-8137.1912.tb05611.x>.
Author: Junguk Hur [aut, cre] , Sarah Hong [aut], Jane Kim [aut]
Maintainer: Junguk Hur <hurlabshared@gmail.com>

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Package Rcmdr updated to version 2.14.1 with previous version 2.13.0 dated 2026-06-19

Title: R Commander
Description: A platform-independent basic-statistics GUI (graphical user interface) for R, based on the tcltk package.
Author: John Fox [aut], Milan Bouchet-Valat [aut], Manuel Munoz-Marquez [aut, cre], Liviu Andronic [ctb], Michael Ash [ctb], Theophilius Boye [ctb], Stefano Calza [ctb], Andy Chang [ctb], Vilmantas Gegzna [ctb], Philippe Grosjean [ctb], Richard Heiberger [ct [...truncated...]
Maintainer: Manuel Munoz-Marquez <manuel.munoz@uca.es>

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Package qpost updated to version 1.1.0 with previous version 1.0.0 dated 2026-09-12

Title: Create a 'Quarto' Blog Post
Description: Provides an interactive 'RStudio' dialog for creating 'Quarto' blog posts with correctly structured YAML front matter. The dialog collects title, author, date, categories, and other metadata, then scaffolds the post directory, creates the 'index.qmd' file, and optionally copies an image. A companion function appends COinS (ContextObjects in Spans) metadata to posts for automatic bibliographic import into reference managers such as 'Zotero'.
Author: Peter Baumgartner [aut, cre, cph]
Maintainer: Peter Baumgartner <petzi53@gmail.com>

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Package genpca updated to version 0.2.1 with previous version 0.2.0 dated 2026-09-15

Title: Generalized Principal Component Analysis
Description: Generalized PCA and related matrix decompositions in weighted inner-product spaces. Methods are based on Allen, G. I., Grosenick, L., and Taylor, J. (2014) <doi:10.1080/01621459.2013.852978>, "A generalized least-square matrix decomposition", Journal of the American Statistical Association, 109(505), 145-159; and Abdi, H. (2007), "Singular value decomposition (SVD) and generalized singular value decomposition" <https://personal.utdallas.edu/~herve/Abdi-SVD2007-pretty.pdf>, in "Encyclopedia of Measurement and Statistics", 907-912.
Author: Brad Buchsbaum [aut, cre, cph]
Maintainer: Brad Buchsbaum <brad.buchsbaum@gmail.com>

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Package focus updated to version 0.1.10 with previous version 0.1.9 dated 2026-07-23

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

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Package emaxnls updated to version 0.2.0 with previous version 0.1.1 dated 2026-06-30

Title: Nonlinear Least Squares Estimation for Emax Regression Models
Description: Provides estimation and covariate selection tools for Emax regression models using nonlinear least squares methods. Supported optimisation algorithms are Gauss-Newton, Levenberg-Marquardt, and the port library for bounded optimisation. The package also provides tools to assist in simulation work using Emax regression.
Author: Danielle Navarro [aut, cre]
Maintainer: Danielle Navarro <djnavarro@protonmail.com>

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Package couplr updated to version 1.7.1 with previous version 1.6.1 dated 2026-08-22

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>

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Package BigDataStatMeth updated to version 2.0.6 with previous version 2.0.5 dated 2026-09-14

Title: Scalable Statistical Computing with HDF5-Backed Matrices
Description: A framework for 'scalable' statistical computing on large on-disk matrices stored in 'HDF5' files. It provides efficient block-wise implementations of core linear-algebra operations (matrix multiplication, SVD, PCA, and QR decomposition) written in C++ and R, along with building blocks from which higher-level multivariate methods such as canonical correlation analysis can be constructed. These building blocks are designed not only for direct use, but also as foundational components for developing new statistical methods that must operate on datasets too large to fit in memory. The package supports data provided either as 'HDF5' files or standard R objects, and is intended for high-dimensional applications such as 'omics' and precision-medicine research.
Author: Dolors Pelegri-Siso [aut, cre] , Juan R. Gonzalez [aut]
Maintainer: Dolors Pelegri-Siso <dolors.pelegri@isglobal.org>

Diff between BigDataStatMeth versions 2.0.5 dated 2026-09-14 and 2.0.6 dated 2026-09-16

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Package rsf updated to version 1.0.0 with previous version 0.3.0 dated 2022-09-15

Title: Report of Statistical Findings in Quarto
Description: A report of statistical findings (RSF) project template is generated using a Quarto book.
Author: Derek Chiu [aut, cre]
Maintainer: Derek Chiu <dchiu@bccrc.ca>

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Package rmoriebricklayer updated to version 0.5.0 with previous version 0.3.9 dated 2026-09-08

Title: Reproducible Data Capsules with Provenance and Fallback
Description: Tools for building brick-proof, reproducible, self-contained data capsules. Resolves open-data sources through the Comprehensive Knowledge Archive Network ('CKAN', <https://ckan.org/>) package_show and package_search endpoints, records and verifies provenance with Secure Hash Algorithm 256 ('SHA-256') digests and Internet Archive 'Wayback Machine' (<https://web.archive.org/>) snapshots, validates downloaded data against a pinned schema, and falls back to schema-driven synthetic data when the real source is unreachable. Run records are captured in a manifest plus a plain-language summary so any result can be traced back to its inputs. Distributional drift between a pinned capsule and a fresh fetch is tested with Kolmogorov-Smirnov, chi-square, population stability index, Jensen-Shannon divergence and 'Benford' first-digit screens, because a re-released extract can be statistically identical yet differ byte-for-byte, and a column can keep its name and type while having been s [...truncated...]
Author: Vansh Singh Ruhela [aut, cre]
Maintainer: Vansh Singh Ruhela <vsruhela@proton.me>

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Package rbacon updated to version 4.0.0 with previous version 3.5.2 dated 2025-05-18

Title: Age-Depth Modelling using Bayesian Statistics
Description: An approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for deposits, through combining radiocarbon and other dates with prior information on accumulation rates and their variability. See Blaauw & Christen (2011).
Author: Maarten Blaauw [aut, cre] , J. Andres Christen [aut, ctb, cph] , Marco A. Aquino Lopez [aut] , Judith Esquivel Vazquez [ctb], Oscar M. Gonzalez V. [ctb], Ted Belding [cph], James Theiler [cph], Brian Gough [cph], Charles Karney [cph]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package arrg updated to version 0.2.0 with previous version 0.1.0 dated 2024-09-25

Title: Flexible Argument Parsing for R Scripts
Description: Argument parsing for R scripts, with support for long and short Unix-style options including option clustering, positional arguments including those of variable length, and multiple usage patterns which may take different subsets of options.
Author: Jon Clayden [cre, aut]
Maintainer: Jon Clayden <code@clayden.org>

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Package OUwie updated to version 3.0.3 with previous version 3.0.2 dated 2026-07-01

Title: Analysis of Evolutionary Rates in an OU Framework
Description: Estimates rates for continuous character evolution under Brownian motion and Ornstein-Uhlenbeck based Hansen models that allow both the strength of the pull and stochastic motion to vary across selective regimes. Beaulieu et al. (2012).
Author: Jeremy M. Beaulieu [aut, cre], Brian O'Meara [aut]
Maintainer: Jeremy M. Beaulieu <jmbeauli@uark.edu>

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Package PracTools updated to version 1.7.6 with previous version 1.7.5 dated 2026-01-17

Title: Designing and Weighting Survey Samples
Description: Functions and datasets to support Valliant, Dever, and Kreuter (2018), <doi:10.1007/978-3-319-93632-1>, "Practical Tools for Designing and Weighting Survey Samples". Contains functions for sample size calculation for survey samples using stratified or clustered one-, two-, and three-stage sample designs, and single-stage audit sample designs. Functions are included that will group geographic units accounting for distances apart and measures of size. Other functions compute variance components for multistage designs, sample sizes in two-phase designs, and a stopping rule for ending data collection. A number of example data sets are included.
Author: Richard Valliant [aut, cre], Jill A. Dever [ctb], Frauke Kreuter [ctb], George Zipf [aut]
Maintainer: Richard Valliant <valliant@umich.edu>

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Package leaflegend updated to version 1.3.0 with previous version 1.2.8 dated 2026-05-16

Title: Add Custom Legends to 'leaflet' Maps
Description: Provides extensions to the 'leaflet' package to customize legends with images, text styling, orientation, sizing, and symbology and functions to create symbols to plot on maps.
Author: Thomas Roh [aut, cre], Ricardo Rodrigo Basa [ctb]
Maintainer: Thomas Roh <thomas.roh@delveds.com>

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Package xfun updated to version 0.61 with previous version 0.60 dated 2026-07-09

Title: Supporting Functions for Packages Maintained by 'Yihui Xie'
Description: Miscellaneous functions commonly used in other packages maintained by 'Yihui Xie'.
Author: Yihui Xie [aut, cre, cph] , Wush Wu [ctb], Daijiang Li [ctb], Xianying Tan [ctb], Salim Brueggemann [ctb] , Christophe Dervieux [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package geoarrow updated to version 0.4.4 with previous version 0.4.3 dated 2026-06-04

Title: Extension Types for Spatial Data for Use with 'Arrow'
Description: Provides extension types and conversions to between R-native object types and 'Arrow' columnar types. This includes integration among the 'arrow', 'nanoarrow', 'sf', and 'wk' packages such that spatial metadata is preserved wherever possible. Extension type implementations ensure first-class geometry data type support in the 'arrow' and 'nanoarrow' packages.
Author: Dewey Dunnington [aut, cre] , Anthony North [ctb], Apache Software Foundation [cph], Ulf Adams [cph], Daniel Lemire [cph], Joao Paulo Magalhaes [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

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Package rwa updated to version 1.0.0 with previous version 0.1.1 dated 2026-01-20

Title: Perform a Relative Weights Analysis
Description: Perform a Relative Weights Analysis (RWA) (a.k.a. Key Drivers Analysis) as per the method described in Tonidandel & LeBreton (2015) <DOI:10.1007/s10869-014-9351-z>, with its original roots in Johnson (2000) <DOI:10.1207/S15327906MBR3501_1>. In essence, RWA decomposes the total variance predicted in a regression model into weights that accurately reflect the proportional contribution of the predictor variables, which addresses the issue of multi-collinearity. In typical scenarios, RWA returns similar results to Shapley regression, but with a significant advantage on computational performance.
Author: Martin Chan [aut, cre]
Maintainer: Martin Chan <martinchan53@gmail.com>

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Package conover.test updated to version 1.2.0 with previous version 1.1.7 dated 2026-02-12

Title: Conover-Iman Test of Multiple Comparisons Using Rank Sums
Description: Computes the Conover-Iman test (1979) for stochastic superiority and reports the results among multiple pairwise comparisons after a Kruskal-Wallis omnibus test for stochastic superiority among k groups (Kruskal and Wallis, 1952). conover.test makes k(k-1)/2 multiple pairwise comparisons based on Conover-Iman t-test-statistic of the rank differences. The null hypothesis for each pairwise comparison is that the probability of observing a randomly selected value from the first group that is larger than a randomly selected value from the second group equals one half; this null hypothesis corresponds to that of the Wilcoxon-Mann-Whitney rank-sum test. conover.test accounts for tied ranks. The Conover-Iman test is strictly valid if and only if the corresponding Kruskal-Wallis null hypothesis is rejected.
Author: Alexis Dinno [aut, cre, cph]
Maintainer: Alexis Dinno <alexis.dinno@pdx.edu>

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Package tinytable updated to version 0.19.0 with previous version 0.18.0 dated 2026-08-20

Title: Simple and Configurable Tables in 'HTML', 'LaTeX', 'Markdown', 'Word', 'PNG', 'PDF', and 'Typst' Formats
Description: Create highly customized tables with this simple and dependency-free package. Data frames can be converted to 'HTML', 'LaTeX', 'Markdown', 'Word', 'PNG', 'PDF', or 'Typst' tables. The user interface is minimalist and easy to learn. The syntax is concise. 'HTML' tables can be customized using the flexible 'Bootstrap' framework, and 'LaTeX' code with the 'tabularray' package.
Author: Vincent Arel-Bundock [aut, cre]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package ggspectra updated to version 0.4.1 with previous version 0.4.0 dated 2026-03-17

Title: Extensions to 'ggplot2' for Radiation Spectra
Description: Additional annotations, stats, geoms and scales for plotting "light" spectra with 'ggplot2', together with specializations of ggplot() and autoplot() methods for spectral data and waveband definitions stored in objects of classes defined in package 'photobiology'. Part of the 'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] , Titta K. Kotilainen [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package geoBayes updated to version 0.7.8 with previous version 0.7.7 dated 2026-06-17

Title: Analysis of Geostatistical Data using Bayes and Empirical Bayes Methods
Description: Functions to fit geostatistical data. The data can be continuous, binary or count data and the models implemented are flexible. Conjugate priors are assumed on some parameters while inference on the other parameters can be done through a full Bayesian analysis of by empirical Bayes methods.
Author: Evangelos Evangelou [aut, cre], Vivekananda Roy [aut]
Maintainer: Evangelos Evangelou <e.evangelou@maths.bath.ac.uk>

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Package BoundIRT updated to version 0.8.0 with previous version 0.6.0 dated 2026-08-21

Title: Fit Bounded Continuous Item Response Theory Models to Data
Description: Bounded continuous data are encountered in many areas of test application. Examples include visual analogue scales used in the measurement of personality, mood, depression, and quality of life; item response times from tests with item deadlines; confidence ratings; and pain intensity ratings. Using this package, item response theory (IRT) models suitable for bounded continuous item scores can be fitted to data within a Bayesian framework. The package draws on posterior sampling facilities provided by R-package 'rstan' (Stan Development Team, 2025)<https://mc-stan.org/>. Available models include the Beta IRT model by Noel and Dauvier (2007)<doi:10.1177/0146621605287691>, the continuous response model by Samejima (1973)<doi:10.1007/BF03372160>, the unbounded normal model by Mellenbergh (1994)<doi:10.1207/s15327906mbr2903_2>, and the Simplex IRT model by Flores et al. (2020)<doi:10.1007/978-3-030-43469-4_8>. All models can be fitted with or without zero-one i [...truncated...]
Author: Dylan Molenaar [aut, cre]
Maintainer: Dylan Molenaar <d.molenaar@uva.nl>

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Package blox updated to version 0.0.2 with previous version 0.0.1 dated 2025-09-30

Title: Block Diagonal Matrix Approximation
Description: Finds the best block diagonal matrix approximation of a symmetric matrix. This can be exploited for divisive hierarchical clustering using singular vectors, named HC-SVD. The method is described in Bauer (202X) <doi:10.48550/arXiv.2308.06820>.
Author: Jan O. Bauer [aut, cre]
Maintainer: Jan O. Bauer <j.bauer@vu.nl>

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Package templateICAr updated to version 0.11.3 with previous version 0.10.0 dated 2025-05-19

Title: Estimate Brain Networks and Connectivity with ICA and Empirical Priors
Description: Implements the template ICA (independent components analysis) model proposed in Mejia et al. (2020) <doi:10.1080/01621459.2019.1679638> and the spatial template ICA model proposed in Mejia et al. (2022) <doi:10.1080/10618600.2022.2104289>. Both models estimate subject-level brain as deviations from known population-level networks, which are estimated using standard ICA algorithms. Both models employ an expectation-maximization algorithm for estimation of the latent brain networks and unknown model parameters. Includes direct support for 'CIFTI', 'GIFTI', and 'NIFTI' neuroimaging file formats. Note, this package has been deprecated and superseded by 'BayesBrainMap', which includes model improvements and new names for the core functions.
Author: Amanda Mejia [aut, cre], Damon Pham [aut] , Daniel Spencer [ctb] , Mary Beth Nebel [ctb]
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>

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Package rkt updated to version 1.9 with previous version 1.8 dated 2026-08-25

Title: Mann-Kendall Test, Seasonal and Regional Kendall Tests
Description: Contains function rkt which computes the Mann-Kendall test (MK) and the Seasonal and the Regional Kendall Tests for trend (SKT and RKT) and Theil-Sen's slope estimator.
Author: Aldo Marchetto [aut, cre]
Maintainer: Aldo Marchetto <aldo.marchetto@cnr.it>

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Package glmnetr updated to version 0.6-4 with previous version 0.6-3 dated 2025-12-16

Title: Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models
Description: Cross validation informed Relaxed LASSO (or more generally elastic net), gradient boosting machine ('xgboost'), Random Forest ('RandomForestSRC'), Oblique Random Forest ('aorsf'), Artificial Neural Network (ANN), Recursive Partitioning ('RPART') or step wise regression models are fit. Cross validation leave out samples (leading to nested cross validation) or bootstrap out-of-bag samples are used to evaluate and compare performances between these models with results presented in tabular or graphical means. Calibration plots can also be generated, again based upon (outer nested) cross validation or bootstrap leave out (out of bag) samples. Note, at the time of this writing, in order to fit gradient boosting machine models one must install the packages 'DiceKriging' and 'rgenoud' using the install.packages() function. For some datasets, for example when the design matrix is not of full rank, 'glmnet' may have very long run times when fitting the relaxed lasso model, from our experience [...truncated...]
Author: Walter K Kremers [aut, cre] , Nicholas B Larson [ctb]
Maintainer: Walter K Kremers <kremers.walter@mayo.edu>

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Package GDINA updated to version 2.13.1 with previous version 2.9.12 dated 2025-07-02

Title: The Generalized DINA Model Framework
Description: A set of psychometric tools for cognitive diagnosis modeling based on the generalized deterministic inputs, noisy and gate (G-DINA) model by de la Torre (2011) <DOI:10.1007/s11336-011-9207-7> and its extensions, including the sequential G-DINA model by Ma and de la Torre (2016) <DOI:10.1111/bmsp.12070> for polytomous responses, and the polytomous G-DINA model by Chen and de la Torre <DOI:10.1177/0146621613479818> for polytomous attributes. Joint attribute distribution can be independent, saturated, higher-order, loglinear smoothed or structured. Q-matrix validation, item and model fit statistics, model comparison at test and item level and differential item functioning can also be conducted. A graphical user interface is also provided. For tutorials, please check Ma and de la Torre (2020) <DOI:10.18637/jss.v093.i14>, Ma and de la Torre (2019) <DOI:10.1111/emip.12262>, Ma (2019) <DOI:10.1007/978-3-030-05584-4_29> and de la Torre and Akbay (2019).
Author: Wenchao Ma [aut, cre, cph], Jimmy de la Torre [aut, cph], Samuel Huang [ctb], Miguel Sorrel [ctb], Zhehan Jiang [ctb], Pablo Najera [ctb]
Maintainer: Wenchao Ma <wma@umn.edu>

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Package estimatr updated to version 2.0.0 with previous version 1.0.6 dated 2025-02-28

Title: Fast Estimators for Design-Based Inference
Description: Fast procedures for a small set of commonly-used, design-appropriate estimators with robust standard errors and confidence intervals. Includes estimators for linear regression, instrumental variables regression, difference-in-means, Horvitz-Thompson estimation, and regression improving precision of experimental estimates by interacting treatment with centered pre-treatment covariates introduced by Lin (2013) <doi:10.1214/12-AOAS583>. Fixed effects are absorbed by alternating projections rather than by dummy expansion, and Horvitz-Thompson variance is computed from the randomization declaration.
Author: Alexander Coppock [aut, cre], Graeme Blair [aut], Jasper Cooper [aut], Luke Sonnet [aut], Macartan Humphreys [ctb], Neal Fultz [ctb], Lily Medina [ctb], Russell Lenth [ctb], Molly Offer-Westort [ctb]
Maintainer: Alexander Coppock <acoppock@gmail.com>

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Package datey updated to version 0.1.2 with previous version 0.1.1 dated 2026-07-14

Title: Exact Date and Duration Arithmetic on an Annual Grid
Description: Standardised mapping of dates onto a discrete annual grid, together with exact date and duration arithmetic. This matters when the primary unit is years but the input data uses dates. Examples are actuarial mortality experience analysis and valuation of life assurance and annuities, for which mortality rates are defined per year but experience and valuation data are typically defined using dates.
Author: Tim Gordon [aut, cre]
Maintainer: Tim Gordon <tim.gordon@btinternet.com>

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Package cansim updated to version 0.5.1 with previous version 0.5.0 dated 2026-08-19

Title: Accessing Statistics Canada Data Table and Vectors
Description: Searches for, accesses, and retrieves Statistics Canada data tables, as well as individual vectors, as tidy data frames. This package enriches the tables with metadata, deals with encoding issues, allows for bilingual English or French language data retrieval, and bundles convenience functions to make it easier to work with retrieved table data. For more efficient data access the package allows for caching data in a local database and database level filtering, data manipulation and summarizing.
Author: Jens von Bergmann [aut, cre], Dmitry Shkolnik [aut]
Maintainer: Jens von Bergmann <jens@mountainmath.ca>

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Package leaflet.extras updated to version 2.1.0 with previous version 2.0.2 dated 2026-03-29

Title: Extra Functionality for 'leaflet' Package
Description: The 'leaflet' JavaScript library provides many plugins some of which are available in the core 'leaflet' package, but there are many more. It is not possible to support them all in the core 'leaflet' package. This package serves as an add-on to the 'leaflet' package by providing extra functionality via 'leaflet' plugins.
Author: Sebastian Gatscha [aut, cre], Bhaskar Karambelkar [aut], Barret Schloerke [aut], Bangyou Zheng [ctb] , Robin Cura [ctb] , Markus Voge [ctb] , Markus Dumke [ctb] , Mapbox [ctb, cph] , Henry Thasler [ctb, cph] , Dennis Wilhelm [ctb, cph] , Kirollos Ris [...truncated...]
Maintainer: Sebastian Gatscha <sebastian_gatscha@gmx.at>

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 inst/htmlwidgets/build/lfx-webgl-heatmap/lfx-webgl-heatmap-bindings.js         |    2 
 inst/htmlwidgets/build/map-widget-style/map-widget-style-bindings.js           |    2 
 inst/htmlwidgets/build/tile-bing/tile-bing-bindings.js                         |    2 
 man/GroupedLayersControl.Rd                                                    |   82 
 man/TileCaching.Rd                                                             |   44 
 man/addAwesomeMarkersDependencies.Rd                                           |   32 
 man/addBingTiles.Rd                                                            |   76 
 man/addBootstrapDependency.Rd                                                  |   28 
 man/addBounceMarkers.Rd                                                        |  174 
 man/addGroupedLayersControl.Rd                                                 |  162 
 man/addResetMapButton.Rd                                                       |   38 
 man/debugMap.Rd                                                                |   28 
 man/draw-options.Rd                                                            |  368 +-
 man/draw.Rd                                                                    |  242 -
 man/edithandlersOptions.Rd                                                     |   40 
 man/edittoolbarOptions.Rd                                                      |   44 
 man/fullscreen.Rd                                                              |   46 
 man/geodesics.Rd                                                               |  379 +-
 man/gps.Rd                                                                     |  118 
 man/groupedLayersControlOptions.Rd                                             |  128 
 man/handlersOptions.Rd                                                         |  112 
 man/heatmap-legend.Rd                                                          |only
 man/heatmap.Rd                                                                 |  407 +-
 man/leaflet.extras-package.Rd                                                  |  126 
 man/leafletExtrasDependencies.Rd                                               |   32 
 man/leaflethash.Rd                                                             |   38 
 man/measure-path.Rd                                                            |  181 -
 man/omnivore.Rd                                                                |  999 ++---
 man/pulseMarkers.Rd                                                            |  287 -
 man/search-features.Rd                                                         |   74 
 man/search-geocoding.Rd                                                        |  289 -
 man/search-options.Rd                                                          |  236 -
 man/sleep.Rd                                                                   |   86 
 man/style-editor.Rd                                                            |   94 
 man/toolbarOptions.Rd                                                          |   96 
 man/utils.Rd                                                                   |  125 
 man/weatherMarkers.Rd                                                          |  269 -
 man/webglheatmap.Rd                                                            |  521 +-
 man/wms-legend.Rd                                                              |  116 
 tests/testthat.R                                                               |   26 
 tests/testthat/test-geodesic.R                                                 | 1098 +++---
 tests/testthat/test-geojson.R                                                  |  690 +--
 tests/testthat/test-geojson_mini.R                                             |  706 ++--
 tests/testthat/test-groupedlayerscontrol.R                                     |  256 -
 tests/testthat/test-heatmaps.R                                                 |  794 ++--
 tests/testthat/test-layers.R                                                   |   88 
 tests/testthat/test-map-controls.R                                             | 1742 +++++-----
 tests/testthat/test-maputils.R                                                 |   93 
 tests/testthat/test-marker.R                                                   |  764 ++--
 tests/testthat/testdata                                                        |only
 131 files changed, 14736 insertions(+), 14253 deletions(-)

More information about leaflet.extras at CRAN
Permanent link

Package frab updated to version 0.0-7 with previous version 0.0-6 dated 2024-07-24

Title: How to Add Two R Tables
Description: Methods to "add" two R tables; also an alternative interpretation of named vectors as generalized R tables, so that c(a=1,b=2,c=3) + c(b=3,a=-1) will return c(b=5,c=3). Uses 'disordR' discipline (Hankin, 2022, <doi:10.48550/arXiv.2210.03856>). Extraction and replacement methods are provided. The underlying mathematical structure is the Free Abelian group, hence the name. To cite in publications please use Hankin (2023) <doi:10.48550/arXiv.2307.13184>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between frab versions 0.0-6 dated 2024-07-24 and 0.0-7 dated 2026-09-16

 DESCRIPTION             |   11 ++--
 MD5                     |   31 ++++++------
 NEWS.md                 |   41 +++++++++-------
 R/frab.R                |   93 ++++++++++++++++++++-----------------
 build/partial.rdb       |binary
 build/vignette.rds      |binary
 inst/doc/frab.Rmd       |    5 ++
 inst/doc/frab.html      |   23 +++++----
 man/Concatenate.Rd      |only
 man/frab.Rd             |    8 +--
 man/misc.Rd             |    8 ++-
 man/zero.Rd             |    2 
 src/frab.cpp            |   64 ++++++++++++-------------
 src/frab.h              |   11 +++-
 src/sparsetable_ops.cpp |  119 ++++++++++++++++++++----------------------------
 vignettes/frab.Rmd      |    5 ++
 vignettes/frab.bib      |    8 +++
 17 files changed, 230 insertions(+), 199 deletions(-)

More information about frab at CRAN
Permanent link

Package COveR updated to version 1.1.1 with previous version 1.1.0 dated 2024-11-13

Title: Clustering with Overlaps
Description: Provide functions for overlaps clustering, fuzzy clustering and interval-valued data manipulation. The package implement the following algorithms: OKM (Overlapping Kmeans) from Cleuziou, G. (2007) <doi:10.1109/icpr.2008.4761079> ; NEOKM (Non-exhaustive overlapping Kmeans) from Whang, J. J., Dhillon, I. S., and Gleich, D. F. (2015) <doi:10.1137/1.9781611974010.105> ; Fuzzy Cmeans from Bezdek, J. C. (1981) <doi:10.1007/978-1-4757-0450-1> ; Fuzzy I-Cmeans from de A.T. De Carvalho, F. (2005) <doi:10.1016/j.patrec.2006.08.014>.
Author: Guillaume Cleuziou [aut], Nicolas Hiot [aut, cre] , Chengge Shi [ctb]
Maintainer: Nicolas Hiot <nicolas.hiot@univ-orleans.fr>

Diff between COveR versions 1.1.0 dated 2024-11-13 and 1.1.1 dated 2026-09-16

 DESCRIPTION   |   15 ++++++++++-----
 MD5           |    6 +++---
 README.md     |    6 ++++++
 src/okm/okm.c |   45 +++++++++++++++++++++++++++++++++------------
 4 files changed, 52 insertions(+), 20 deletions(-)

More information about COveR at CRAN
Permanent link

Package umweltapir updated to version 0.2.3 with previous version 0.2.2 dated 2026-08-24

Title: Access 'umwelt.info' API
Description: Provides an R-based access to the datasets including their resources from the portal <https://umwelt.info>. The package allows for an easy integration of those datasets into your R-based workflows. The functionality of the package mirrors the web-based access as provided at <https://umwelt.info>. You can use the same queries and get the same datasets by accessing our API.
Author: Luise Quoss [aut, cre], Johannes Vogel [aut], Maximilian Berthold [aut], Nationales Zentrum fuer Umwelt- und Naturschutzinformationen [cph]
Maintainer: Luise Quoss <luise.quoss@uba.de>

Diff between umweltapir versions 0.2.2 dated 2026-08-24 and 0.2.3 dated 2026-09-16

 DESCRIPTION                     |    6 ++---
 MD5                             |   16 +++++++-------
 NEWS.md                         |    4 +++
 R/download_resources.R          |    7 ++++--
 R/fetch_api.R                   |   34 +++++++++++++++++++++++-------
 man/download_resources.Rd       |    4 +--
 man/fetch_data.Rd               |    4 +--
 man/umweltapir-package.Rd       |    4 +--
 tests/testthat/test-fetch_api.R |   44 +++++++++++++++++++++++++++++++++++-----
 9 files changed, 91 insertions(+), 32 deletions(-)

More information about umweltapir at CRAN
Permanent link

Package Rduckhts updated to version 1.5.2-0.1.5 with previous version 1.5.1-0.1.3 dated 2026-07-28

Title: 'DuckDB' High Throughput Sequencing File Formats Reader Extension
Description: Bundles the 'duckhts' 'DuckDB' extension for reading High Throughput Sequencing file formats with 'DuckDB'. The 'DuckDB' C extension API <https://duckdb.org/docs/stable/clients/c/api> and its 'htslib' dependency are compiled from vendored sources during package installation. James K Bonfield and co-authors (2021) <doi:10.1093/gigascience/giab007>. VariantKey / RegionKey support follows Nicola Asuni (2018) <doi:10.1101/473744>.
Author: Sounkou Mahamane Toure [aut, cre], James K Bonfield, John Marshall,Petr Danecek ,Heng Li , Valeriu Ohan, Andrew Whitwham,Thomas Keane , Robert M Davies [ctb] , Brent Pedersen [cph] , Giulio Genovese [cph] , Nicola Asuni [cph] , Devon Ryan [cph] , Duc [...truncated...]
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>

Diff between Rduckhts versions 1.5.1-0.1.3 dated 2026-07-28 and 1.5.2-0.1.5 dated 2026-09-16

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 Rduckhts-1.5.2-0.1.5/Rduckhts/DESCRIPTION                                                             |   12 
 Rduckhts-1.5.2-0.1.5/Rduckhts/MD5                                                                     |  464 
 Rduckhts-1.5.2-0.1.5/Rduckhts/NAMESPACE                                                               |   11 
 Rduckhts-1.5.2-0.1.5/Rduckhts/NEWS.md                                                                 |  178 
 Rduckhts-1.5.2-0.1.5/Rduckhts/R/bootstrap.R                                                           |  525 
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 Rduckhts-1.5.2-0.1.5/Rduckhts/R/catalog.R                                                             |only
 Rduckhts-1.5.2-0.1.5/Rduckhts/R/connection.R                                                          |only
 Rduckhts-1.5.2-0.1.5/Rduckhts/R/convert_parquet.R                                                     |  387 
 Rduckhts-1.5.2-0.1.5/Rduckhts/R/duckhts.R                                                             | 2552 ++--
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 Rduckhts-1.5.2-0.1.5/Rduckhts/R/geno.R                                                                |only
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 Rduckhts-1.5.2-0.1.5/Rduckhts/configure.win                                                           |   46 
 Rduckhts-1.5.2-0.1.5/Rduckhts/inst/COPYRIGHT                                                          |    7 
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Package randomForestSRC updated to version 3.8.0 with previous version 3.7.0 dated 2026-08-31

Title: Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
Description: Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. New Mahalanobis splitting for correlated outcomes. Extreme random forests and randomized splitting. Suite of imputation methods for missing data. Fast random forests using subsampling. Confidence regions and standard errors for variable importance. New improved holdout importance. Case-specific importance. Minimal depth variable importance. Visualize trees on your Safari or Google Chrome browser. Anonymous random forests for data privacy.
Author: Hemant Ishwaran [aut], Udaya B. Kogalur [aut, cre]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

Diff between randomForestSRC versions 3.7.0 dated 2026-08-31 and 3.8.0 dated 2026-09-16

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Package leaflet.extras2 updated to version 1.3.4 with previous version 1.3.3 dated 2026-09-09

Title: Extra Functionality for 'leaflet' Package
Description: Several 'leaflet' plugins are integrated, which are available as extension to the 'leaflet' package.
Author: Gatscha Sebastian [aut, cre], Ricardo Rodrigo Basa [ctb], Jeffrey O Hanson [ctb]
Maintainer: Gatscha Sebastian <sebastian_gatscha@gmx.at>

Diff between leaflet.extras2 versions 1.3.3 dated 2026-09-09 and 1.3.4 dated 2026-09-16

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Package kardl updated to version 2.0.6 with previous version 2.0.5 dated 2026-07-22

Title: Make Symmetric and Asymmetric ARDL Estimations
Description: Implements estimation procedures for Autoregressive Distributed Lag (ARDL) and Nonlinear ARDL (NARDL) models, which allow researchers to investigate both short- and long-run relationships in time series data under mixed orders of integration. The package supports simultaneous modeling of symmetric and asymmetric regressors, flexible treatment of short-run and long-run asymmetries, and automated equation handling. It includes several cointegration testing approaches such as the Pesaran-Shin-Smith F and t bounds tests, and narayan test. Methodological foundations are provided in Pesaran, Shin, and Smith (2001) <doi:10.1016/S0304-4076(01)00049-5> and Shin, Yu, and Greenwood-Nimmo (2014, ISBN:9780123855079).
Author: Huseyin karamelikli [aut, cre] , Huseyin Utku Demir [aut]
Maintainer: Huseyin karamelikli <hakperest@gmail.com>

Diff between kardl versions 2.0.5 dated 2026-07-22 and 2.0.6 dated 2026-09-16

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New package ggmosaic2 with initial version 0.5.1
Package: ggmosaic2
Title: Mosaic Plots in the 'ggplot2' Framework, Extended
Version: 0.5.1
Date: 2026-09-15
Description: Mosaic plots in the 'ggplot2' framework. Mosaic plot functionality is provided in a single 'ggplot2' layer by calling the geom 'mosaic'. This extends the now-defunct 'ggmosaic' package by allowing fitted loglinear models which can be used to show patterns of association among variables in frequency tables.
License: GPL (>= 2)
Language: en-US
URL: https://friendly.github.io/ggmosaic2/, https://github.com/friendly/ggmosaic2
BugReports: https://github.com/friendly/ggmosaic2/issues
Depends: ggplot2 (>= 4.0.0), R (>= 4.1.0)
Imports: productplots, dplyr, plotly (>= 4.9.3), purrr, rlang, tidyr, ggrepel, scales, withr (>= 2.5.0)
Suggests: gridExtra, knitr, rmarkdown, shiny (>= 1.1.0), patchwork, vcdExtra
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-09-15 14:27:34 UTC; friendly
Author: Michael Friendly [aut, cre, cph] , Gavin Klorfine [aut] , Haley Jeppson [aut] , Heike Hofmann [aut] , Di Cook [aut] , Hadley Wickham [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>
Repository: CRAN
Date/Publication: 2026-09-16 12:30:02 UTC

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New package dplyneage with initial version 0.3.1
Package: dplyneage
Title: Column Lineage Visualization for 'dplyr' Pipelines
Version: 0.3.1
Description: Implements column lineage visualizations using 'React Flow' for 'dplyr' and 'dbplyr' pipelines. Provides a tidyverse-style interface for tracking data transformations through pipeline operations.
License: MIT + file LICENSE
URL: https://tgerke.github.io/dplyneage/, https://github.com/tgerke/dplyneage
BugReports: https://github.com/tgerke/dplyneage/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: htmlwidgets, jsonlite
Suggests: DBI, dbplyr, dplyr, duckdb, igraph, knitr, reticulate, rlang, rmarkdown, RSQLite, shiny, testthat (>= 3.2.0), withr, xml2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-08 14:02:39 UTC; tgerke
Author: Travis Gerke [aut, cre, cph], Meta Platforms, Inc. and affiliates [cph] , xyflow GmbH [cph]
Maintainer: Travis Gerke <travisgerke@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-16 12:10:02 UTC

More information about dplyneage at CRAN
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Package coinclp updated to version 0.1.1 with previous version 0.1.0 dated 2026-09-15

Title: R Interface to the 'COIN-OR' 'Clp' Linear Programming Solver
Description: Solves linear programs with 'Clp', the simplex and interior point code of the 'COIN-OR' project <https://github.com/coin-or/Clp>. Provides a one-call solver interface for dense and sparse constraint matrices, and complete low level bindings to the 'Clp' callable library covering problem construction, warm starts, presolve options, basis access and 'MPS' files. A compatibility layer reproduces the interface of the archived 'clpAPI' package so that existing code keeps working. 'Clp' itself is not bundled and must be installed on the system; the 'Rtools' toolchain supplies it on 'Windows', from 'Rtools' 4.3 on.
Author: Sam Lovick [aut, cre]
Maintainer: Sam Lovick <sam@lovickconsulting.com>

Diff between coinclp versions 0.1.0 dated 2026-09-15 and 0.1.1 dated 2026-09-16

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Package bmm updated to version 1.3.2 with previous version 1.3.1 dated 2026-06-05

Title: Easy and Accessible Bayesian Measurement Models Using 'brms'
Description: Fit computational and measurement models using full Bayesian inference. The package provides a simple and accessible interface by translating complex domain-specific models into 'brms' syntax, a powerful and flexible framework for fitting Bayesian regression models using 'Stan'. The package is designed so that users can easily apply state-of-the-art models in various research fields, and so that researchers can use it as a new model development framework. References: Frischkorn and Popov (2025) <doi:10.3758/s13428-025-02643-0>.
Author: Vencislav Popov [aut, cph] , Gidon T. Frischkorn [aut, cre, cph] , Chenyu Li [ctb], Paul-Christian Buerkner [cph]
Maintainer: Gidon T. Frischkorn <gfrischkorn@icloud.com>

Diff between bmm versions 1.3.1 dated 2026-06-05 and 1.3.2 dated 2026-09-16

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 NAMESPACE                                            |    3 
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 R/model_ddm.R                                        |    8 
 R/model_ezdm.R                                       |    8 
 R/model_imm.R                                        |    3 
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New package ARInfoLSTM with initial version 0.1.0
Package: ARInfoLSTM
Title: ARIMA-Informed LSTM for Time Series Forecasting
Version: 0.1.0
Description: Implements an ARIMA-Informed Long Short-Term Memory (LSTM) framework for univariate time series forecasting. The package integrates statistical information extracted from AutoRegressive Integrated Moving Average (ARIMA) models with deep learning-based LSTM architectures to improve forecasting accuracy, stability, and interpretability. Inspired by the philosophy of Physics-Informed Machine Learning (PIML), the proposed framework incorporates information from classical statistical models into neural network learning, creating a hybrid forecasting approach that combines domain knowledge with data-driven intelligence. The methodology is motivated by hybrid forecasting framework proposed by Yeasin and Paul (2024) <doi:10.1007/s11227-023-05542-3>.
License: GPL-3
Encoding: UTF-8
Imports: torch (>= 0.11.0), forecast (>= 8.21), ggplot2 (>= 3.4.0), cli (>= 3.6.0), coro, stats, utils
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-08 11:50:21 UTC; YEASIN
Author: Md Yeasin [aut], Ranjit Kumar Paul [aut, cre], Pushkar Bora [aut]
Maintainer: Ranjit Kumar Paul <ranjitstat@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-16 11:40:02 UTC

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Package stevedata updated to version 1.9.0 with previous version 1.8.0 dated 2025-11-12

Title: Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics
Description: This is a collection of various kinds of data with broad uses for teaching. My students, and academics like me who teach the same topics I teach, should find this useful if their teaching workflow is also built around the R programming language. The applications are multiple but mostly cluster on topics of statistical methodology, international relations, and political economy.
Author: Steve Miller [aut, cre]
Maintainer: Steve Miller <steve@svmiller.com>

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Package fdasrvf updated to version 2.5.0 with previous version 2.4.4 dated 2026-05-07

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

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Package muse updated to version 0.1.2 with previous version 0.1.1 dated 2026-07-30

Title: Multiple Unobserved Sources of Error State Space Models
Description: Implements the Power / Trend / Seasonal (PTS) model, a unified state-space framework based on the Multiple Source of Error (MSOE) model. It brings the trend, seasonal and irregular component models of Harvey (1989) <doi:10.1017/CBO9781107049994>, Durbin and Koopman (2012) <doi:10.1093/acprof:oso/9780199641178.001.0001>, Proietti (2000) <doi:10.1016/S0169-2070(00)00037-6>, Sbrana and Silvestrini (2023) <doi:10.1016/j.ijforecast.2022.03.003> and others together under a single estimation, selection and forecasting interface, with an optional Box-Cox power transformation. Models are estimated by maximum likelihood through the Kalman filter and smoother, with automatic component selection by information criteria.
Author: Diego J. Pedregal [aut, ctb] , Ivan Svetunkov [aut, cre]
Maintainer: Ivan Svetunkov <ivan@svetunkov.com>

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Package readxl updated to version 1.5.0.1 with previous version 1.5.0 dated 2026-05-16

Title: Read Excel Files
Description: Import excel files into R. Supports '.xls' via the embedded 'libxls' C library <https://github.com/libxls/libxls> and '.xlsx' via the embedded 'RapidXML' C++ library <https://rapidxml.sourceforge.net/>. Works on Windows, Mac and Linux without external dependencies.
Author: Hadley Wickham [aut] , Jennifer Bryan [aut, cre] , Posit, PBC [cph, fnd] , Marcin Kalicinski [ctb, cph] , Komarov Valery [ctb, cph] , Christophe Leitienne [ctb, cph] , Bob Colbert [ctb, cph] , David Hoerl [ctb, cph] , Evan Miller [ctb, cph]
Maintainer: Jennifer Bryan <jenny@posit.co>

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Package lssdoc updated to version 0.3.0 with previous version 0.2.0 dated 2026-09-13

Title: 'LimeSurvey' '.lss' Questionnaires to and from Word Documents
Description: Turn a 'LimeSurvey' '.lss' survey export into a publication-quality questionnaire document in Word ('.docx') or PDF, with up to four of the survey's own languages side by side. Every label the package adds around that content -- column headers, type names, the audit section -- is written in English, French, German, Spanish or Italian, whatever the survey languages are. A rule-based audit flags missing translations, forward filter references, duplicate codes, array-scale inconsistencies and orphan structural references. Questionnaires travel the other way too: describe one in R, or fill in a Word form, and write a '.lss' file ready to import. Meant for the people who work on questionnaires -- researchers, methodologists, ethics committees, translators and reviewers -- and fully local: the source file is the only input, and no questionnaire content is uploaded to a third-party service.
Author: Amal Tawfik [aut, cre, cph]
Maintainer: Amal Tawfik <amal.tawfik@hesav.ch>

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Package khisr readmission to version 1.0.8 with previous version 1.0.6 dated 2024-10-06

Title: An R Client to Retrieve Data from DHIS2
Description: Provides a user-friendly interface for interacting with the District Health Information Software 2 ('DHIS2', <https://dhis2.org>) instance. It streamlines data retrieval, empowering researchers, analysts, and healthcare professionals to obtain and utilize data efficiently.
Author: David Kariuki [aut, cre, cph]
Maintainer: David Kariuki <hello@damurka.com>

This is a re-admission after prior archival of version 1.0.6 dated 2024-10-06

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Package IntegMultiReg readmission to version 0.1.3 with previous version 0.1.1 dated 2026-08-22

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>

This is a re-admission after prior archival of version 0.1.1 dated 2026-08-22

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Package rmedsem updated to version 1.1.0 with previous version 1.0.0 dated 2026-03-16

Title: Statistical Mediation Analysis for SEMs
Description: Conducts mediation analysis for structural equation models (SEM) estimated with 'lavaan', 'blavaan', 'cSEM', or 'modsem'. Implements the Baron and Kenny (1986) <doi:10.1037/0022-3514.51.6.1173> and Zhao, Lynch & Chen (2010) <doi:10.1086/651257> approaches to determine the presence and type of mediation. Supports covariance-based SEM, partial least squares SEM, Bayesian SEM, and moderated mediation and mediated moderation models. Tests indirect effects with the Sobel, Delta, Monte-Carlo, and bootstrap methods or, for Bayesian models, with posterior summaries and equal-tailed or highest density credible intervals. Reports the effect size measures RIT, RID, and Upsilon of Lachowicz, Preacher and Kelley (2018) <doi:10.1037/met0000165>. Results can be summarized, extracted with standard methods such as summary(), coef() and confint(), and plotted.
Author: Mehmet Mehmetoglu [aut] , Matthias Mittner [aut, cre] , Kjell Slupphaug [aut]
Maintainer: Matthias Mittner <matthias.mittner@uit.no>

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Package ggplotplus updated to version 0.5.7 with previous version 0.5.6 dated 2026-07-27

Title: Universal Design-Oriented Enhancements for 'ggplot2'
Description: A collection of enhancements to 'ggplot2', with a focus on creating Universally Designed, accessible graphs easily and quickly.
Author: Alex Bajcz [aut, cre]
Maintainer: Alex Bajcz <bajcz003@umn.edu>

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Package deepspat updated to version 0.3.3 with previous version 0.3.2 dated 2026-08-28

Title: Deep Compositional Spatial Models
Description: Deep compositional spatial models are standard spatial covariance models coupled with an injective warping function of the spatial domain. The warping function is constructed through a composition of multiple elemental injective functions in a deep-learning framework. The package implements two cases for the univariate setting; first, when these warping functions are known up to some weights that need to be estimated, and, second, when the weights in each layer are random. In the multivariate setting only the former case is available. Estimation and inference is done using `tensorflow`, which makes use of graphics processing units. For more details see Zammit-Mangion et al. (2022) <doi:10.1080/01621459.2021.1887741>, Vu et al. (2022) <doi:10.5705/ss.202020.0156>, Vu et al. (2023) <doi:10.1016/j.spasta.2023.100742>, and Shao et al. (2025) <doi:10.48550/arXiv.2505.12548>.
Author: Andrew Zammit-Mangion [aut], Quan Vu [aut, cre], Xuanjie Shao [aut]
Maintainer: Quan Vu <quanvustats@gmail.com>

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Package CSHShydRology updated to version 1.6 with previous version 1.5.0 dated 2026-04-20

Title: Canadian Hydrological Analyses
Description: A collection of user-submitted functions to aid in the analysis of hydrological data, particularly for users in Canada. The functions focus on the use of Canadian data sets, and are suited to Canadian hydrology, such as the important cold region hydrological processes and will work with Canadian hydrological models. The functions are grouped into several themes, currently including Statistical hydrology, Basic data manipulations, Visualization, and Spatial hydrology. Functions developed by the Floodnet project are also included. CSHShydRology has been developed with the assistance of the Canadian Society for Hydrological Sciences (CSHS) which is an affiliated society of the Canadian Water Resources Association (CWRA). As of version 1.2.6, functions now fail gracefully when attempting to download data from a url which is unavailable.
Author: Kevin Shook [cre, aut], Paul Whitfield [aut], Robert Chlumsky [aut], Daniel Moore [aut], Martin Durocher [aut], Matthew Lemieux [ctb], Jason Chiang [ctb], Joel Trubilowicz [aut], SJ Kim [ctb], Billy Browning [aut], Vincenzo Coia [aut], Jad Saade [ctb [...truncated...]
Maintainer: Kevin Shook <kshook@kshook.ca>

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Package childesr updated to version 0.3.0 with previous version 0.2.3 dated 2022-01-26

Title: Accessing the 'CHILDES' Database
Description: Tools for connecting to 'CHILDES', an open repository for transcripts of parent-child interaction. For more information on the underlying data, see <https://langcog.github.io/childes-db-website/>.
Author: Michael C. Frank [aut, cre, cph], Mika Braginsky [aut], Alessandro Sanchez [aut, ctb], Daniel Yurovsky [aut], Kyle MacDonald [ctb], Stephan Meylan [ctb], Jessica Mankewitz [ctb]
Maintainer: Michael C. Frank <mcfrank@stanford.edu>

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Package admixr2 updated to version 0.4.1 with previous version 0.2.0 dated 2026-07-02

Title: Aggregate Data Modelling
Description: Fit pharmacokinetic/pharmacodynamic (PK/PD) models to aggregate-level data (mean vector and covariance matrix per study) rather than individual-level data, for meta-analysis across studies. Integrates with the 'nlmixr2'/'rxode2' ecosystem via four estimation methods: a First-Order ('FO') analytical estimator, a Monte Carlo (MC) estimator, a Gauss-Hermite quadrature ('GH') estimator, and an Iterative Reweighting Monte Carlo ('IRMC') estimator. Methods are based on Välitalo (2021) <doi:10.1007/s10928-021-09760-1>; software described in van de Beek et al. (2025) <doi:10.1007/s10928-025-10011-w>.
Author: H. van de Beek [aut, cre], P.A.J. Vaelitalo [aut], L.B. Zwep [aut], J.G.C. van Hasselt [aut]
Maintainer: H. van de Beek <h.van.de.beek@lacdr.leidenuniv.nl>

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Package vol2birdR updated to version 1.3.2 with previous version 1.3.1 dated 2026-07-27

Title: Vertical Profiles of Biological Signals in Weather Radar Data
Description: 'R' implementation of the 'vol2bird' software for generating vertical profiles of birds and other biological signals in weather radar data. See Dokter et al. (2011) <doi:10.1098/rsif.2010.0116> for a paper describing the methodology.
Author: Anders Henja [aut] , Adriaan M. Dokter [aut, cre] , Alexander Tedeschi [ctb] , Tsung-Yu Lin [ctb] , Subranshu Maji [ctb] , Daniel Sheldon [ctb] , Bart Kranstauber [ctb] , Jurriaan H. Spaaks [ctb] , Lourens Veen [ctb] , Iwan Holleman [ctb] , Hidde Lei [...truncated...]
Maintainer: Adriaan M. Dokter <vol2birdr@cornell.edu>

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Package SCIntRuler readmission to version 0.99.8 with previous version 0.99.6 dated 2024-07-12

Title: Guiding the Integration of Multiple Single-Cell RNA-Seq Datasets
Description: The accumulation of single-cell RNA sequencing (scRNA-seq) studies highlights the potential benefits of integrating multiple datasets. By augmenting sample sizes and enhancing analytical robustness, integration can lead to more insightful biological conclusions. However, challenges arise due to the inherent diversity and batch discrepancies within and across studies. 'SCIntRuler' addresses these challenges by guiding the integration of multiple scRNA-seq datasets.
Author: Yue Lyu [aut, cre]
Maintainer: Yue Lyu <yuelyu0521@gmail.com>

This is a re-admission after prior archival of version 0.99.6 dated 2024-07-12

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Package RobustArithmetic updated to version 0.2.0 with previous version 0.1.0 dated 2026-09-12

Title: Verified Interval Arithmetic with Correctly Rounded Kernels
Description: Verified interval arithmetic for R, in the inf-sup (endpoint) representation of the set-based flavor of the interval standard. Every operation returns an enclosure that provably contains the exact result: outward rounding is obtained from the predecessor and successor formulas of Rump, Zimmermann, Boldo and Melquiond (2009) <doi:10.1007/s10543-009-0218-z>, which are valid under round-to-nearest and therefore need no change to the floating-point rounding mode. That mode is not reachable from R, and changing it would not be a local act: it is per-thread state of the processor, so it would govern every floating-point operation executed afterwards on that thread, in this package or anywhere else. Elementary functions are provided at two levels: a fast level over the included correctly rounded binary64 implementation, comprising fifteen kernels from CORE-MATH <doi:10.1109/ARITH54963.2022.00014> and the hardware square root, widened by the pre-registered slack of two outward step [...truncated...]
Author: Jose Mauricio Gomez Julian [aut, cre] , Alexei Sibidanov [ctb, cph], Paul Zimmermann [ctb, cph], Tom Hubrecht [ctb, cph], Cyprien Peignier [ctb, cph], CERN [cph], INRIA [cph], Szabolcs Nagy [ctb, cph]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>

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Package mscp updated to version 2.0 with previous version 1.0 dated 2021-02-24

Title: Multiscale Change Point Detection via Gradual Bandwidth Adjustment in Moving Sum Processes
Description: Multiscale moving sum procedure for the detection of changes in expectation in univariate sequences. References - Multiscale change point detection via gradual bandwidth adjustment in moving sum processes, Tijana Levajkovic and Michael Messer (2023) <doi:10.1214/22-EJS2101>.
Author: Tijana Levajkovic [aut], Michael Messer [aut, cre]
Maintainer: Michael Messer <michaelmessermath@gmail.com>

Diff between mscp versions 1.0 dated 2021-02-24 and 2.0 dated 2026-09-16

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Package MFT readmission to version 3.1 with previous version 2.0 dated 2019-03-11

Title: The Multiple Filter Test for Change Point Detection
Description: Provides statistical tests and algorithms for the detection of change points in time series and point processes - particularly for changes in the mean in time series and for changes in the rate and in the variance in point processes. References - Michael Messer, Marietta Kirchner, Julia Schiemann, Jochen Roeper, Ralph Neininger and Gaby Schneider (2014), A multiple filter test for the detection of rate changes in renewal processes with varying variance <doi:10.1214/14-AOAS782>. Stefan Albert, Michael Messer, Julia Schiemann, Jochen Roeper, Gaby Schneider (2017), Multi-scale detection of variance changes in renewal processes in the presence of rate change points <doi:10.1111/jtsa.12254>. Michael Messer, Kaue M. Costa, Jochen Roeper and Gaby Schneider (2017), Multi-scale detection of rate changes in spike trains with weak dependencies <doi:10.1007/s10827-016-0635-3>. Michael Messer, Stefan Albert and Gaby Schneider (2018), The multiple filter test for change point detec [...truncated...]
Author: Michael Messer [aut, cre], Stefan Albert [aut], Solveig Plomer [aut], Gaby Schneider [aut]
Maintainer: Michael Messer <michaelmessermath@gmail.com>

This is a re-admission after prior archival of version 2.0 dated 2019-03-11

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Package dawaR updated to version 0.3.4 with previous version 0.3.3 dated 2026-08-27

Title: An API Wrapper for 'DAWA' - 'The Danish Address Web API'
Description: Functions for interacting with all sections of the official 'Danish Address Web API' (also known as 'DAWA') <https://api.dataforsyningen.dk>. The development of this package is completely independent from the government agency, Klimadatastyrelsen, who maintains the API.
Author: Aleksander Bang-Larsen [aut, cre, cph] , Agency of Climate Data [ctb]
Maintainer: Aleksander Bang-Larsen <contact@aleksanderbl.dk>

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Package chevron updated to version 0.2.14 with previous version 0.2.13 dated 2026-07-17

Title: Standard TLGs for Clinical Trials Reporting
Description: Provide standard tables, listings, and graphs (TLGs) libraries used in clinical trials. This package implements a structure to reformat the data with 'dunlin', create reporting tables using 'rtables' and 'tern' with standardized input arguments to enable quick generation of standard outputs. In addition, it also provides comprehensive data checks and script generation functionality.
Author: Liming Li [aut] , Benoit Falquet [aut] , Xiaoli Duan [aut], Adrian Waddell [ctb], Chenkai Lv [ctb], Pawel Rucki [ctb], Tim Barnett [ctb], Tian Fang [ctb], Joe Zhu [cre] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package Boom updated to version 0.9.17 with previous version 0.9.16 dated 2025-09-02

Title: Bayesian Object Oriented Modeling
Description: A C++ library for Bayesian modeling, with an emphasis on Markov chain Monte Carlo. Although boom contains a few R utilities (mainly plotting functions), its primary purpose is to install the BOOM C++ library on your system so that other packages can link against it.
Author: Steven L. Scott [aut, cre] , NEWUOA , and a modified version of the R math libraries . Original copyright notices have been maintained in all source files. In these cases, copyright claimed by Steven L. Scott is limited to modifications made to the [...truncated...]
Maintainer: Steven L. Scott <steve.the.bayesian@gmail.com>

Diff between Boom versions 0.9.16 dated 2025-09-02 and 0.9.17 dated 2026-09-16

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 Boom-0.9.17/Boom/DESCRIPTION                                                                                   |   43 
 Boom-0.9.17/Boom/MD5                                                                                           |  473 +++---
 Boom-0.9.17/Boom/NAMESPACE                                                                                     |    7 
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 Boom-0.9.17/Boom/inst/include/LinAlg/ArrayIterator.hpp                                                         |   18 
 Boom-0.9.17/Boom/inst/include/LinAlg/Matrix.hpp                                                                |   18 
 Boom-0.9.17/Boom/inst/include/LinAlg/Selector.hpp                                                              |   25 
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 Boom-0.9.17/Boom/inst/include/Models/CategoricalData.hpp                                                       |   41 
 Boom-0.9.17/Boom/inst/include/Models/CompositeModel.hpp                                                        |    1 
 Boom-0.9.17/Boom/inst/include/Models/DirichletModel.hpp                                                        |    3 
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 Boom-0.9.17/Boom/inst/include/Models/GP/GpMeanFunction.hpp                                                     |   10 
 Boom-0.9.17/Boom/inst/include/Models/GammaModel.hpp                                                            |    3 
 Boom-0.9.17/Boom/inst/include/Models/GaussianModelBase.hpp                                                     |    1 
 Boom-0.9.17/Boom/inst/include/Models/Glm/BinomialLogitModel.hpp                                                |    3 
 Boom-0.9.17/Boom/inst/include/Models/Glm/BinomialProbitModel.hpp                                               |    3 
 Boom-0.9.17/Boom/inst/include/Models/Glm/ChoiceData.hpp                                                        |  132 +
 Boom-0.9.17/Boom/inst/include/Models/Glm/GlmCoefs.hpp                                                          |    9 
 Boom-0.9.17/Boom/inst/include/Models/Glm/GlmMvnPriorBase.hpp                                                   |    4 
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 Boom-0.9.17/Boom/inst/include/Models/Glm/LoglinearModel.hpp                                                    |    2 
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 Boom-0.9.17/Boom/inst/include/Models/Glm/MultinomialProbitModel.hpp                                            |    8 
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 Boom-0.9.17/Boom/inst/include/Models/Glm/MvtRegModel.hpp                                                       |    2 
 Boom-0.9.17/Boom/inst/include/Models/Glm/OrdinalCutpointModel.hpp                                              |    8 
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 Boom-0.9.17/Boom/inst/include/Models/Glm/ProbitRegression.hpp                                                  |   10 
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 Boom-0.9.17/Boom/inst/include/Models/Glm/TRegression.hpp                                                       |    4 
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 Boom-0.9.17/Boom/inst/include/Models/IRT/PcrNid.hpp                                                            |    9 
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 Boom-0.9.17/Boom/inst/include/Models/MvnGivenSigma.hpp                                                         |    4 
 Boom-0.9.17/Boom/inst/include/Models/MvnModel.hpp                                                              |    2 
 Boom-0.9.17/Boom/inst/include/Models/MvtModel.hpp                                                              |    4 
 Boom-0.9.17/Boom/inst/include/Models/PoissonModel.hpp                                                          |    3 
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 Boom-0.9.17/Boom/src/LinAlg/Selector.cpp                                                                       |    3 
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 Boom-0.9.17/Boom/src/LinAlg/Vector.cpp                                                                         |   20 
 Boom-0.9.17/Boom/src/Makevars                                                                                  |    9 
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 Boom-0.9.17/Boom/src/Models/GammaModel.cpp                                                                     |    5 
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 Boom-0.9.17/Boom/src/Models/Glm/MvtRegModel.cpp                                                                |    4 
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 Boom-0.9.17/Boom/src/Models/Glm/RegressionModel.cpp                                                            |   21 
 Boom-0.9.17/Boom/src/Models/Glm/TRegression.cpp                                                                |    6 
 Boom-0.9.17/Boom/src/Models/Glm/VariableSelectionPrior.cpp                                                     |   16 
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 Boom-0.9.17/Boom/src/Models/HMM/hmm_tools.cpp                                                                  |    2 
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 Boom-0.9.17/Boom/src/Models/IRT/SubjectPrior.cpp                                                               |    2 
 Boom-0.9.17/Boom/src/Models/Impute/MixedDataImputer.cpp                                                        |    7 
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 Boom-0.9.17/Boom/src/Models/UniformCorrelationModel.cpp                                                        |    2 
 Boom-0.9.17/Boom/src/Models/WeightedMvnModel.cpp                                                               |    4 
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 Boom-0.9.17/Boom/src/Models/ZeroInflatedLognormalModel.cpp                                                     |    5 
 Boom-0.9.17/Boom/src/Models/ZeroInflatedPoissonModel.cpp                                                       |    6 
 Boom-0.9.17/Boom/src/Models/ZeroMeanMvnModel.cpp                                                               |    4 
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 Boom-0.9.17/Boom/src/stats/IQagent.cpp                                                                         |    8 
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More information about Boom at CRAN
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Package adbcpostgresql readmission to version 0.24.0-2 with previous version 0.24.0-1 dated 2026-07-29

Title: 'Arrow' Database Connectivity ('ADBC') 'PostgreSQL' Driver
Description: Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'PostgreSQL' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

This is a re-admission after prior archival of version 0.24.0-1 dated 2026-07-29

Diff between adbcpostgresql versions 0.24.0-1 dated 2026-07-29 and 0.24.0-2 dated 2026-09-16

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Permanent link

Package VertexWiseR updated to version 1.5.4 with previous version 1.5.3 dated 2026-09-02

Title: Simplified Vertex-Wise Analyses of Whole-Brain and Subcortical Surface
Description: Provides functions to run statistical analyses on surface-based neuroimaging data, computing measures including cortical thickness and surface area of the whole-brain and of the hippocampi. It can make use of 'FreeSurfer', 'fMRIprep', 'XCP-D', 'HCP' and 'CAT12' preprocessed datasets, 'HippUnfold' hippocampal outputs and 'SubCortexMesh' subcortical outputs for a given sample by restructuring the data values into a single file. The single file can then be used by the package for analyses independently from its base dataset and without need for its access.
Author: Junhong Yu [aut] , Charly Billaud [aut, cre]
Maintainer: Charly Billaud <charly.billaud@ntu.edu.sg>

Diff between VertexWiseR versions 1.5.3 dated 2026-09-02 and 1.5.4 dated 2026-09-16

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Package EpiModel updated to version 2.6.2 with previous version 2.6.1 dated 2026-05-12

Title: Mathematical Modeling of Infectious Disease Dynamics
Description: Tools for simulating mathematical models of infectious disease dynamics. Epidemic model classes include deterministic compartmental models, stochastic individual-contact models, and stochastic network models. Network models use the robust statistical methods of exponential-family random graph models (ERGMs) from the Statnet suite of software packages in R. Standard templates for epidemic modeling include SI, SIR, and SIS disease types. EpiModel features an API for extending these templates to address novel scientific research aims. Full methods for EpiModel are detailed in Jenness et al. (2018, <doi:10.18637/jss.v084.i08>).
Author: Samuel Jenness [cre, aut], Steven M. Goodreau [aut], Martina Morris [aut], Adrien Le Guillou [aut], Chad Klumb [aut], Skye Bender-deMoll [ctb]
Maintainer: Samuel Jenness <samuel.m.jenness@emory.edu>

Diff between EpiModel versions 2.6.1 dated 2026-05-12 and 2.6.2 dated 2026-09-16

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 inst/doc/network-objects.R                      |   16 
 inst/doc/network-objects.Rmd                    |   60 ++-
 inst/doc/network-objects.html                   |  128 +++++-
 man/EpiModel-package.Rd                         |  251 ++++++++-----
 man/as_cumulative_edgelist.Rd                   |   47 ++
 man/check_attr_lengths.Rd                       |    9 
 man/comp_plot.Rd                                |    3 
 man/control.net.Rd                              |   70 +++
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 man/get_partners.Rd                             |   54 ++
 man/icm.Rd                                      |   18 
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 man/multilayer.Rd                               |    6 
 man/net-accessor.Rd                             |   11 
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 man/param.icm.Rd                                |   10 
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 man/plot.epi.data.frame.Rd                      |    6 
 man/plot.icm.Rd                                 |    6 
 man/plot.netdx.Rd                               |   91 ++++
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 man/update_cumulative_edgelist.Rd               |   47 ++
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 tests/testthat/Rplots.pdf                       |binary
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 tests/testthat/test-net-tergmLite.R             |   42 +-
 tests/testthat/test-netdx.R                     |  167 +++++++++
 tests/testthat/test-netest.R                    |   34 +
 tests/testthat/test-newmodules.R                |  440 +++++++++++++++++++++++-
 tests/testthat/test-plot-dcm.R                  |only
 tests/testthat/test-plot-epi-dataframe.R        |only
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 tests/testthat/test-print.R                     |   29 +
 tests/testthat/test-transmat-dendo.R            |    4 
 tests/testthat/test-truncate-restart.R          |only
 tests/testthat/test-utils.R                     |   27 +
 vignettes/Intro.Rmd                             |    4 
 vignettes/network-objects.Rmd                   |   60 ++-
 97 files changed, 3295 insertions(+), 743 deletions(-)

More information about EpiModel at CRAN
Permanent link

Package Characterization updated to version 4.1.0 with previous version 3.0.1 dated 2026-05-15

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

Diff between Characterization versions 3.0.1 dated 2026-05-15 and 4.1.0 dated 2026-09-16

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 Characterization-4.1.0/Characterization/DESCRIPTION                                                            |   15 
 Characterization-4.1.0/Characterization/MD5                                                                    |  156 +--
 Characterization-4.1.0/Characterization/NAMESPACE                                                              |    5 
 Characterization-4.1.0/Characterization/R/CaseSeries.R                                                         |  105 +-
 Characterization-4.1.0/Characterization/R/CohortGeneration.R                                                   |  325 ++++--
 Characterization-4.1.0/Characterization/R/CohortIncidence.R                                                    |only
 Characterization-4.1.0/Characterization/R/Database.R                                                           |    9 
 Characterization-4.1.0/Characterization/R/DechallengeRechallenge.R                                             |  266 ++---
 Characterization-4.1.0/Characterization/R/ExportingCsvFiles.R                                                  |  281 ++---
 Characterization-4.1.0/Characterization/R/HelperFunctions.R                                                    |   40 
 Characterization-4.1.0/Characterization/R/LookupCohortSettings.R                                               |  104 +-
 Characterization-4.1.0/Characterization/R/RiskFactorAnalysis.R                                                 |  125 +-
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 Characterization-4.1.0/Characterization/R/TimeToEvent.R                                                        |  101 --
 Characterization-4.1.0/Characterization/R/ViewShiny.R                                                          |  113 +-
 Characterization-4.1.0/Characterization/build/vignette.rds                                                     |binary
 Characterization-4.1.0/Characterization/inst/doc/Specification.R                                               |   24 
 Characterization-4.1.0/Characterization/inst/doc/Specification.Rmd                                             |   34 
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 Characterization-4.1.0/Characterization/inst/doc/UsingPackage.R                                                |   77 +
 Characterization-4.1.0/Characterization/inst/doc/UsingPackage.Rmd                                              |  126 ++
 Characterization-4.1.0/Characterization/inst/doc/UsingPackage.html                                             |  147 ++-
 Characterization-4.1.0/Characterization/inst/settings/resultsDataModelSpecification.csv                        |  482 ++++++----
 Characterization-4.1.0/Characterization/inst/shinyConfigUpdate.json                                            |    6 
 Characterization-4.1.0/Characterization/inst/sql/sql_server/CaseCohorts.sql                                    |   50 -
 Characterization-4.1.0/Characterization/inst/sql/sql_server/CaseSeriesBinaryExtraction.sql                     |    6 
 Characterization-4.1.0/Characterization/inst/sql/sql_server/CreateTargetCohortTable.sql                        |   47 
 Characterization-4.1.0/Characterization/inst/sql/sql_server/DechallengeRechallenge.sql                         |    6 
 Characterization-4.1.0/Characterization/inst/sql/sql_server/DropTargetCohortTable.sql                          |   26 
 Characterization-4.1.0/Characterization/inst/sql/sql_server/DropTimeToEvent.sql                                |    6 
 Characterization-4.1.0/Characterization/inst/sql/sql_server/NonCaseCohorts.sql                                 |  181 ++-
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 Characterization-4.1.0/Characterization/inst/sql/sql_server/RechallengeFailCaseSeries.sql                      |   76 +
 Characterization-4.1.0/Characterization/inst/sql/sql_server/ResultTables.sql                                   |   14 
 Characterization-4.1.0/Characterization/inst/sql/sql_server/RiskFactorBinaryExtraction.sql                     |   45 
 Characterization-4.1.0/Characterization/inst/sql/sql_server/RiskFactorContinuousExtraction.sql                 |   81 +
 Characterization-4.1.0/Characterization/inst/sql/sql_server/TargetCohorts.sql                                  |  358 +++++++
 Characterization-4.1.0/Characterization/inst/sql/sql_server/TimeToEvent.sql                                    |   59 -
 Characterization-4.1.0/Characterization/inst/sql/sql_server/UpdateVersionNumber.sql                            |    2 
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 Characterization-4.1.0/Characterization/man/getDbDuringCovariateData.Rd                                        |    4 
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 Characterization-4.1.0/Characterization/man/saveCharacterizationSettings.Rd                                    |   14 
 Characterization-4.1.0/Characterization/man/viewCharacterization.Rd                                            |    4 
 Characterization-4.1.0/Characterization/tests/testthat/setup.R                                                 |   26 
 Characterization-4.1.0/Characterization/tests/testthat/test-CaseSeries.R                                       |  116 +-
 Characterization-4.1.0/Characterization/tests/testthat/test-CohortGeneration.R                                 |  171 +++
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 Characterization-4.1.0/Characterization/tests/testthat/test-Incremental.R                                      |   15 
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 Characterization-4.1.0/Characterization/tests/testthat/test-dbs.R                                              |   22 
 Characterization-4.1.0/Characterization/tests/testthat/test-dechallengeRechallenge.R                           |  287 ++++-
 Characterization-4.1.0/Characterization/tests/testthat/test-manualData.R                                       |   84 +
 Characterization-4.1.0/Characterization/tests/testthat/test-runCharacterization.R                              |  174 +--
 Characterization-4.1.0/Characterization/tests/testthat/test-targetAnalysis.R                                   |  101 +-
 Characterization-4.1.0/Characterization/tests/testthat/test-timeToEvent.R                                      |   61 +
 Characterization-4.1.0/Characterization/tests/testthat/test-viewShiny.R                                        |   35 
 Characterization-4.1.0/Characterization/vignettes/Specification.Rmd                                            |   34 
 Characterization-4.1.0/Characterization/vignettes/UsingPackage.Rmd                                             |  126 ++
 86 files changed, 3799 insertions(+), 2039 deletions(-)

More information about Characterization at CRAN
Permanent link

Package odbc updated to version 1.7.1 with previous version 1.7.0 dated 2026-05-09

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

Diff between odbc versions 1.7.0 dated 2026-05-09 and 1.7.1 dated 2026-09-16

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 odbc-1.7.1/odbc/NAMESPACE                               |    5 
 odbc-1.7.1/odbc/NEWS.md                                 |   18 
 odbc-1.7.1/odbc/R/aaa-odbc-data-type.R                  |   40 
 odbc-1.7.1/odbc/R/connection-pane.R                     |  132 -
 odbc-1.7.1/odbc/R/db.R                                  |   27 
 odbc-1.7.1/odbc/R/dbi-connection.R                      |  207 +-
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 odbc-1.7.1/odbc/R/dbi.R                                 |    2 
 odbc-1.7.1/odbc/R/driver-access.R                       |   36 
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 odbc-1.7.1/odbc/R/driver-db2.R                          |   81 
 odbc-1.7.1/odbc/R/driver-hana.R                         |   30 
 odbc-1.7.1/odbc/R/driver-hive.R                         |   62 
 odbc-1.7.1/odbc/R/driver-impala.R                       |   34 
 odbc-1.7.1/odbc/R/driver-mysql.R                        |   36 
 odbc-1.7.1/odbc/R/driver-netezza.R                      |   18 
 odbc-1.7.1/odbc/R/driver-oracle.R                       |  142 +
 odbc-1.7.1/odbc/R/driver-postgres.R                     |   36 
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 odbc-1.7.1/odbc/R/driver-spark.R                        |   40 
 odbc-1.7.1/odbc/R/driver-sql-server.R                   |  174 +
 odbc-1.7.1/odbc/R/driver-sqlite.R                       |   34 
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 odbc-1.7.1/odbc/R/odbc-drivers.R                        |    5 
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 odbc-1.7.1/odbc/R/zzz.R                                 |    4 
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 odbc-1.7.1/odbc/src/cctz/src/time_zone_format.cc        |  753 +++++---
 odbc-1.7.1/odbc/src/cctz/src/time_zone_format_test.cc   | 1357 +++++++++++---
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 odbc-1.7.1/odbc/src/cctz/src/time_zone_impl.cc          |  128 -
 odbc-1.7.1/odbc/src/cctz/src/time_zone_impl.h           |   49 
 odbc-1.7.1/odbc/src/cctz/src/time_zone_info.cc          | 1460 ++++++++--------
 odbc-1.7.1/odbc/src/cctz/src/time_zone_info.h           |  135 -
 odbc-1.7.1/odbc/src/cctz/src/time_zone_libc.cc          |  427 +++-
 odbc-1.7.1/odbc/src/cctz/src/time_zone_libc.h           |   32 
 odbc-1.7.1/odbc/src/cctz/src/time_zone_lookup.cc        |  205 +-
 odbc-1.7.1/odbc/src/cctz/src/time_zone_lookup_test.cc   | 1354 ++++++--------
 odbc-1.7.1/odbc/src/cctz/src/time_zone_name_win.cc      |only
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 odbc-1.7.1/odbc/src/cctz/src/time_zone_posix.h          |   52 
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 odbc-1.7.1/odbc/src/cctz/src/zone_info_source.cc        |only
 odbc-1.7.1/odbc/src/nanodbc/nanodbc.cpp                 |   12 
 odbc-1.7.1/odbc/src/odbc_connection.h                   |    2 
 odbc-1.7.1/odbc/src/odbc_result.cpp                     |   13 
 odbc-1.7.1/odbc/tests/testthat/_snaps/utils.md          |    4 
 odbc-1.7.1/odbc/tests/testthat/helper.R                 |   51 
 odbc-1.7.1/odbc/tests/testthat/test-dbi-connection.R    |   40 
 odbc-1.7.1/odbc/tests/testthat/test-driver-databricks.R |   19 
 odbc-1.7.1/odbc/tests/testthat/test-driver-mysql.R      |   11 
 odbc-1.7.1/odbc/tests/testthat/test-driver-oracle.R     |   16 
 odbc-1.7.1/odbc/tests/testthat/test-driver-postgres.R   |    8 
 odbc-1.7.1/odbc/tests/testthat/test-driver-redshift.R   |    1 
 odbc-1.7.1/odbc/tests/testthat/test-driver-snowflake.R  |   32 
 odbc-1.7.1/odbc/tests/testthat/test-driver-sql-server.R |  294 ++-
 odbc-1.7.1/odbc/tests/testthat/test-driver-sqlite.R     |    8 
 odbc-1.7.1/odbc/tests/testthat/test-odbc-config.R       |   38 
 odbc-1.7.1/odbc/tests/testthat/test-odbc-connection.R   |   27 
 odbc-1.7.1/odbc/tests/testthat/test-utils.R             |  197 +-
 odbc-1.7.1/odbc/vignettes/develop.Rmd                   |    2 
 111 files changed, 6559 insertions(+), 3905 deletions(-)

More information about odbc at CRAN
Permanent link


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