Sat, 21 Mar 2026

Package PwePred updated to version 1.1.0 with previous version 1.0.0 dated 2025-04-10

Title: Event/Timeline Prediction Model Based on Piecewise Exponential
Description: Efficient algorithm for estimating piecewise exponential hazard models for right-censored data, and is useful for reliable power calculation, study design, and event/timeline prediction for study monitoring.
Author: Tianchen Xu [aut, cre]
Maintainer: Tianchen Xu <zjph602xutianchen@gmail.com>

Diff between PwePred versions 1.0.0 dated 2025-04-10 and 1.1.0 dated 2026-03-21

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Package fru updated to version 0.0.4 with previous version 0.0.3 dated 2026-02-05

Title: A Blazing Fast Implementation of Random Forest
Description: Yet another implementation of the Random Forest method by Breiman (2001) <doi:10.1023/A:1010933404324>, written in Rust and tailored towards stability, correctness, efficiency and scalability on modern multi-core machines. Handles both classification and regression, as well as provides permutation feature importance via a novel, highly optimised algorithm.
Author: Miron Bartosz Kursa [aut, cre] , Krzysztof Piotr Piwonski [aut]
Maintainer: Miron Bartosz Kursa <m@mbq.me>

Diff between fru versions 0.0.3 dated 2026-02-05 and 0.0.4 dated 2026-03-21

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Package polyRAD updated to version 2.0.1 with previous version 2.0.0 dated 2022-11-06

Title: Genotype Calling with Uncertainty from Sequencing Data in Polyploids and Diploids
Description: Read depth data from genotyping-by-sequencing (GBS) or restriction site-associated DNA sequencing (RAD-seq) are imported and used to make Bayesian probability estimates of genotypes in polyploids or diploids. The genotype probabilities, posterior mean genotypes, or most probable genotypes can then be exported for downstream analysis. 'polyRAD' is described by Clark et al. (2019) <doi:10.1534/g3.118.200913>, and the Hind/He statistic for marker filtering is described by Clark et al. (2022) <doi:10.1186/s12859-022-04635-9>. A variant calling pipeline for highly duplicated genomes is also included and is described by Clark et al. (2020, Version 1) <doi:10.1101/2020.01.11.902890>.
Author: Lindsay V. Clark [aut, cre] , U.S. National Science Foundation [fnd]
Maintainer: Lindsay V. Clark <Lindsay.Clark@seattlechildrens.org>

Diff between polyRAD versions 2.0.0 dated 2022-11-06 and 2.0.1 dated 2026-03-21

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Package MaximinInfer updated to version 2.1.0 with previous version 2.0.0 dated 2023-04-12

Title: Inference for Maximin Effects in High-Dimensional Settings
Description: Implementation of the sampling and aggregation method for the covariate shift maximin effect, which was proposed in <doi:10.48550/arXiv.2011.07568>. It constructs the confidence interval for any linear combination of the high-dimensional maximin effect.
Author: Zhenyu Wang [aut, cre], Zijian Guo [aut]
Maintainer: Zhenyu Wang <zw425@stat.rutgers.edu>

Diff between MaximinInfer versions 2.0.0 dated 2023-04-12 and 2.1.0 dated 2026-03-21

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Package rzmq updated to version 0.9.16 with previous version 0.9.15 dated 2024-12-16

Title: R Bindings for 'ZeroMQ'
Description: Interface to the 'ZeroMQ' lightweight messaging kernel (see <https://zeromq.org/> for more information).
Author: Whit Armstrong [aut], Michael Schubert [ctb], Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between rzmq versions 0.9.15 dated 2024-12-16 and 0.9.16 dated 2026-03-21

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Package nomiShape updated to version 1.0.2 with previous version 1.0.1 dated 2026-02-24

Title: Visualization and Analysis of Nominal Variable Distributions
Description: Provides tools for visualizing and analyzing the shape of discrete nominal frequency distributions. The package introduces centered frequency plots, in which nominal categories are ordered from the most frequent category at the center toward less frequent categories on both sides, facilitating the detection of distributional patterns such as uniformity, dominance, symmetry, skewness, and long-tail behavior. In addition, the package supports Pareto charts for the study of dominance and cumulative frequency structure in nominal data. The package is designed for exploratory data analysis and statistical teaching, offering visualizations that emphasize distributional form rather than arbitrary category ordering.
Author: Norberto Asensio [aut, cre]
Maintainer: Norberto Asensio <norberto.asensio@ehu.eus>

Diff between nomiShape versions 1.0.1 dated 2026-02-24 and 1.0.2 dated 2026-03-21

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Package vctrs updated to version 0.7.2 with previous version 0.7.1 dated 2026-01-23

Title: Vector Helpers
Description: Defines new notions of prototype and size that are used to provide tools for consistent and well-founded type-coercion and size-recycling, and are in turn connected to ideas of type- and size-stability useful for analysing function interfaces.
Author: Hadley Wickham [aut], Lionel Henry [aut], Davis Vaughan [aut, cre], data.table team [cph] and their contribution to R's order), Posit Software, PBC [cph, fnd]
Maintainer: Davis Vaughan <davis@posit.co>

Diff between vctrs versions 0.7.1 dated 2026-01-23 and 0.7.2 dated 2026-03-21

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Package scaledescr updated to version 0.2.3 with previous version 0.2.2 dated 2026-03-13

Title: Descriptive, Reliability, and Inferential Tables for Psychometric Scales and Demographic Data
Description: Provides functions to format and summarise already computed outputs from commonly used statistical and psychometric functions into compact, single-row tables and simple graphs, with utilities to export results to CSV, Word, and Excel formats. The package does not implement new statistical methods or estimation procedures; instead, it organises and presents results obtained from existing functions such as psych::describe(), psych::alpha(), stats::t.test(), and gtsummary::tbl_summary() to streamline reporting workflows in clinical and psychological research.
Author: Darshankumar Dharaiya [aut, cre]
Maintainer: Darshankumar Dharaiya <dharaiya.darshan@gmail.com>

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Package refund updated to version 0.1-40 with previous version 0.1-38 dated 2025-11-17

Title: Regression with Functional Data
Description: Methods for regression for functional data, including function-on-scalar, scalar-on-function, and function-on-function regression. Some of the functions are applicable to image data.
Author: Jeff Goldsmith [aut], Fabian Scheipl [aut], Lei Huang [aut], Julia Wrobel [aut, cre, cph], Chongzhi Di [aut], Jonathan Gellar [aut], Jaroslaw Harezlak [aut], Mathew W. McLean [aut], Bruce Swihart [aut], Luo Xiao [aut], Ciprian Crainiceanu [aut], Phil [...truncated...]
Maintainer: Julia Wrobel <julia.wrobel@emory.edu>

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Package iq updated to version 2.0.1 with previous version 2.0.0 dated 2025-10-06

Title: Protein Quantification in Mass Spectrometry-Based Proteomics
Description: An implementation of the MaxLFQ algorithm by Cox et al. (2014) <doi:10.1074/mcp.M113.031591> in a comprehensive pipeline for processing proteomics data in data-independent acquisition mode (Pham et al. 2020 <doi:10.1093/bioinformatics/btz961>; Pham et al. 2026 <doi:10.1021/acs.jproteome.5c01038>). It offers additional options for protein quantification using the N most intense fragment ions, using all fragment ions, the median polish algorithm by Tukey (1977, ISBN:0201076160), and a robust linear model. In general, the tool can be used to integrate multiple proportional observations into a single quantitative value.
Author: Thang Pham [aut, cre, cph, ctb] , Alex Henneman [ctb]
Maintainer: Thang Pham <t.pham@amsterdamumc.nl>

Diff between iq versions 2.0.0 dated 2025-10-06 and 2.0.1 dated 2026-03-21

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Package gimms updated to version 1.2.5 with previous version 1.2.4 dated 2025-11-30

Title: Download and Process GIMMS NDVI3g Data
Description: This is a set of functions to retrieve information about GIMMS NDVI3g files currently available online; download (and re-arrange, in the case of NDVI3g.v0) the half-monthly data sets; import downloaded files from ENVI binary (NDVI3g.v0) or NetCDF format (NDVI3g.v1) directly into R based on the widespread 'raster' package; conduct quality control; and generate monthly composites (e.g., maximum values) from the half-monthly input data. As a special gimmick, a method is included to conveniently apply the Mann-Kendall trend test upon 'Raster*' images, optionally featuring trend-free pre-whitening to account for lag-1 autocorrelation.
Author: Florian Detsch [cre, aut]
Maintainer: Florian Detsch <fdetsch@web.de>

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Package RCurl updated to version 1.98-1.18 with previous version 1.98-1.17 dated 2025-03-22

Title: General Network (HTTP/FTP/...) Client Interface for R
Description: A wrapper for 'libcurl' <https://curl.se/libcurl/> Provides functions to allow one to compose general HTTP requests and provides convenient functions to fetch URIs, get & post forms, etc. and process the results returned by the Web server. This provides a great deal of control over the HTTP/FTP/... connection and the form of the request while providing a higher-level interface than is available just using R socket connections. Additionally, the underlying implementation is robust and extensive, supporting FTP/FTPS/TFTP (uploads and downloads), SSL/HTTPS, telnet, dict, ldap, and also supports cookies, redirects, authentication, etc.
Author: CRAN Team [ctb, cre] , Duncan Temple Lang [aut]
Maintainer: CRAN Team <CRAN@r-project.org>

Diff between RCurl versions 1.98-1.17 dated 2025-03-22 and 1.98-1.18 dated 2026-03-21

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Package Matrix updated to version 1.7-5 with previous version 1.7-4 dated 2025-08-28

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

Diff between Matrix versions 1.7-4 dated 2025-08-28 and 1.7-5 dated 2026-03-21

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Package semverutils (with last version 0.1.0) was removed from CRAN

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

2020-02-22 0.1.0

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Package understandBPMN (with last version 1.1.1) was removed from CRAN

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

2019-09-27 1.1.1
2018-06-08 1.1.0
2018-03-14 1.0.0

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Package shiny.pwa (with last version 0.2.1) was removed from CRAN

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

2021-06-19 0.2.1
2020-09-25 0.2.0

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Package specklestar (with last version 0.0.1.7) was removed from CRAN

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

2018-02-08 0.0.1.7

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

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

2018-06-26 1.3.5
2018-04-29 1.3.4
2017-05-22 1.3.2
2016-08-26 1.2.1

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Package uklr (with last version 1.0.2) was removed from CRAN

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

2021-05-24 1.0.2
2020-04-14 1.0.1
2019-12-18 1.0.0

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Package rgdax (with last version 1.2.1) was removed from CRAN

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

2021-08-03 1.2.1
2019-01-07 1.0.0
2018-06-17 0.6.0
2018-04-08 0.5.0
2018-02-19 0.4.0
2018-02-18 0.3.0
2018-01-09 0.2.0

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Package siqr (with last version 0.8.1) was removed from CRAN

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

2021-12-14 0.8.1
2021-12-01 0.8.0

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Package timeR (with last version 1.2.0) was removed from CRAN

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

2020-06-22 1.2.0
2019-06-12 1.1.0
2019-01-25 1.0.0

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Package slimrec (with last version 0.1.0) was removed from CRAN

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

2017-03-25 0.1.0

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Package shinypanels (with last version 0.5.0) was removed from CRAN

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

2020-01-26 0.5.0

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Package ropendata (with last version 0.1.0) was removed from CRAN

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

2019-02-08 0.1.0

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Package treasury updated to version 0.5.0 with previous version 0.4.0 dated 2025-08-26

Title: Client for US Treasury XML Feed and Published Data
Description: Download daily interest rates from the US Treasury XML feed. Leveraging <https://home.treasury.gov/treasury-daily-interest-rate-xml-feed>, this package serves as a wrapper, facilitating the retrieval of daily treasury rates across various categories, including par yield curves, treasury bills, long-term rates, and real yield curves.
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

Diff between treasury versions 0.4.0 dated 2025-08-26 and 0.5.0 dated 2026-03-21

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Package sigora updated to version 3.2.0 with previous version 3.1.1 dated 2021-11-30

Title: Signature Overrepresentation Analysis
Description: Pathway Analysis is statistically linking observations on the molecular level to biological processes or pathways on the systems(i.e., organism, organ, tissue, cell) level. Traditionally, pathway analysis methods regard pathways as collections of single genes and treat all genes in a pathway as equally informative. However, this can lead to identifying spurious pathways as statistically significant since components are often shared amongst pathways. SIGORA seeks to avoid this pitfall by focusing on genes or gene pairs that are (as a combination) specific to a single pathway. In relying on such pathway gene-pair signatures (Pathway-GPS), SIGORA inherently uses the status of other genes in the experimental context to identify the most relevant pathways. The current version allows for pathway analysis of human and mouse datasets. In addition, it contains pre-computed Pathway-GPS data for pathways in the KEGG and Reactome pathway repositories and mechanisms for extracting GPS for user-sup [...truncated...]
Author: Amir Foroushani [aut] , Fiona Brinkman [aut], David Lynn [aut], Witold Wolski [cre]
Maintainer: Witold Wolski <witold.wolski@fgcz.uzh.ch>

Diff between sigora versions 3.1.1 dated 2021-11-30 and 3.2.0 dated 2026-03-21

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New package Rbearcat with initial version 0.2.1
Package: Rbearcat
Title: University of Cincinnati Themes and Utilities for Econometrics and Data Science
Version: 0.2.1
Description: Provides plotting helpers, table-formatting utilities, and report templates for econometrics, model development, and applied data analysis. Includes University of Cincinnati branded themes for 'ggplot2', 'modelsummary', 'flextable', 'rmarkdown', 'bookdown', and 'quarto'.
License: MIT + file LICENSE
URL: https://github.com/saannidhya/Rbearcat
BugReports: https://github.com/saannidhya/Rbearcat/issues
Encoding: UTF-8
Imports: knitr, kableExtra, magrittr, flextable, purrr, officer, colorspace, ggplot2, scales, bookdown, forcats, dplyr, lubridate, stringr, usethis, readr, rmarkdown, xaringan, git2r, gert, modelsummary, broom, patchwork, lmtest, data.table, tools, rlang
Suggests: testthat (>= 2.1.0), tibble, gapminder, ggrepel, gt, reactable, RColorBrewer, fivethirtyeight, gcookbook, haven, here, tidyverse, viridis, fixest, plm, ivreg, forecast, xts, zoo, car, janitor, ssh, askpass, crayon, rstudioapi, ragg, systemfonts
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-17 17:04:16 UTC; rawatsa
Author: Saannidhya Rawat [aut, cre]
Maintainer: Saannidhya Rawat <rawatsa@mail.uc.edu>
Repository: CRAN
Date/Publication: 2026-03-21 09:50:02 UTC

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Package rasterpic updated to version 0.4.0 with previous version 0.3.1 dated 2026-01-14

Title: Convert Digital Images into 'SpatRaster' Objects
Description: Generate 'SpatRaster' objects, as defined by the 'terra' package, from digital images, using a specified spatial object as a geographical reference.
Author: Diego Hernangomez [aut, cre, cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

Diff between rasterpic versions 0.3.1 dated 2026-01-14 and 0.4.0 dated 2026-03-21

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New package multChernoff with initial version 1.0.0
Package: multChernoff
Title: Finite-Sample Tail Bound of Likelihood Ratio Test under Multinomial Sampling
Version: 1.0.0
Description: Computes a finite-sample tail bound for the log-likelihood ratio test (LRT) statistic under multinomial sampling. The resulting bound is used to compute finite-sample conservative p-values and critical values when the standard chi-squared asymptotics can be unreliable. The package also supports multiple independent multinomial trials.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/richardkwo/multChernoff
BugReports: https://github.com/richardkwo/multChernoff/issues
Imports: plyr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-17 18:53:53 UTC; ricguo
Author: Richard Guo [aut, cre, cph], Ivana Liu [aut]
Maintainer: Richard Guo <ricguo@umich.edu>
Repository: CRAN
Date/Publication: 2026-03-21 10:10:02 UTC

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New package mrddGlobal with initial version 0.1.0
Package: mrddGlobal
Title: Global Testing for Multivariate Regression Discontinuity Designs
Version: 0.1.0
Description: Global testing for regression discontinuity designs with more than one running variable. The function cef_disc_test() is used for testing whether there exist non-zero treatment effects along the boundary of the treated region. The function density_disc_test() is used for testing whether there exist discontinuities in the joint density of the running variables along the boundary of the treated region. The methodology follows Samiahulin (2026), "Global Testing for Regression Discontinuity Designs with Multiple Running Variables" <doi:10.48550/arXiv.2602.03819>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: grf, lpdensity, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: dplyr, ggplot2, patchwork, rmarkdown, sf, RANN, knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-03-17 21:14:44 UTC; User
Author: Artem Samiahulin [aut, cre]
Maintainer: Artem Samiahulin <artem.samiahulin@outlook.com>
Repository: CRAN
Date/Publication: 2026-03-21 10:20:02 UTC

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New package GOFclustering with initial version 1.0.4
Package: GOFclustering
Title: Goodness-of-Fit Testing for Model-Based Clustering
Version: 1.0.4
Description: Performs goodness-of-fit tests for model-based clustering based on the methodology developed in <doi:10.48550/arXiv.2511.04206>. It implements a test statistic derived from empirical likelihood to verify the distribution of clusters in multivariate Gaussian mixtures and other latent class models.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.4)
Imports: Rcpp, parallel, VarSelLCM, mixtools, goftest, partitions, randtoolbox, stats, mvtnorm
LinkingTo: Rcpp, RcppArmadillo
ByteCompile: true
NeedsCompilation: yes
Packaged: 2026-03-17 16:08:39 UTC; matt
Author: Salima El Kolei [aut], Matthieu Marbac [aut, cre]
Maintainer: Matthieu Marbac <matthieu.marbac@univ-ubs.fr>
Repository: CRAN
Date/Publication: 2026-03-21 09:40:02 UTC

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New package foldedt with initial version 1.0
Package: foldedt
Title: The Folded t Family of Distributions
Version: 1.0
Date: 2026-03-18
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Rfast, stats
Suggests: Rfast2
Description: Maximum likelihood estimation of the folded t and related distributions. The reference paper is: Psarakis and Panaretos (1990). "The folded t distribution". Communications in Statistics--Theory and Methods, 19(7): 2717--2734. <doi:10.1080/03610929008830342>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-03-17 22:10:37 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-03-21 10:20:08 UTC

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New package CohortMethod with initial version 6.0.1
Package: CohortMethod
Title: Comparative Cohort Method with Large Scale Propensity and Outcome Models
Version: 6.0.1
Date: 2026-03-16
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>
Description: Functions for performing comparative cohort studies in an observational database in the Observational Medical Outcomes Partnership (OMOP) Common Data Model. Can extract all necessary data from a database. This implements large-scale propensity scores (LSPS) as described in Tian et al. (2018) <doi:10.1093/ije/dyy120>, using a large set of covariates, including for example all drugs, diagnoses, procedures, as well as age, comorbidity indexes, etc. Large scale regularized regression is used to fit the propensity and outcome models as described in Suchard et al. (2013) <doi:10.1145/2414416.2414791>. Functions are included for trimming, stratifying, (variable and fixed ratio) matching and weighting by propensity scores, as well as diagnostic functions, such as propensity score distribution plots and plots showing covariate balance before and after matching and/or trimming. Supported outcome models are (conditional) logistic regression, (conditional) Poisson regression, and (stra [...truncated...]
License: Apache License 2.0
VignetteBuilder: knitr
URL: https://ohdsi.github.io/CohortMethod/, https://github.com/OHDSI/CohortMethod
BugReports: https://github.com/OHDSI/CohortMethod/issues
Depends: R (>= 4.1.0), DatabaseConnector (>= 6.0.0), Cyclops (>= 3.6.0), FeatureExtraction (>= 3.0.0), Andromeda (>= 0.6.3)
Imports: methods, utils, ggplot2, gridExtra, grid, readr, plyr, dplyr, rlang, Rcpp (>= 0.11.2), SqlRender (>= 1.18.0), survival, ParallelLogger (>= 3.4.2), checkmate, EmpiricalCalibration, jsonlite, R6, digest
Suggests: testthat, pROC, knitr, rmarkdown, Eunomia, zip, withr, R.utils, RSQLite, ResultModelManager, markdown, PSweight
SystemRequirements: Java
LinkingTo: Rcpp
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2026-03-16 19:58:45 UTC; schuemie
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut], Patrick Ryan [aut]
Repository: CRAN
Date/Publication: 2026-03-21 09:40:07 UTC

More information about CohortMethod at CRAN
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Package bbk updated to version 0.9.0 with previous version 0.8.0 dated 2025-10-01

Title: Client for Central Bank APIs
Description: A client for retrieving data and metadata from major central bank APIs. It supports access to the 'Bundesbank SDMX Web Service API' (<https://www.bundesbank.de/en/statistics/time-series-databases/help-for-sdmx-web-service/web-service-interface-data>), the 'Swiss National Bank Data Portal' (<https://data.snb.ch/en>), the 'European Central Bank Data Portal API' (<https://data.ecb.europa.eu/help/api/overview>), the 'Bank of England Interactive Statistical Database' (<https://www.bankofengland.co.uk/boeapps/database>), the 'Banco de EspaƱa API' (<https://www.bde.es/webbe/en/estadisticas/recursos/api-estadisticas-bde.html>), the 'Bank for International Settlements SDMX Web Service' (<https://stats.bis.org/api-doc/v1/>), the 'Banque de France Web Service' (<https://webstat.banque-france.fr/en/pages/guide-migration-api/>), the 'Norges Bank SDMX Web Service' (<https://www.norges-bank.no/en/topics/Statistics/open-data/>), the 'Oesterreichische Nat [...truncated...]
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package splitstackshape updated to version 1.4.8.1 with previous version 1.4.8 dated 2019-04-21

Title: Stack and Reshape Datasets After Splitting Concatenated Values
Description: Online data collection tools like Google Forms often export multiple-response questions with data concatenated in cells. The concat.split (cSplit) family of functions splits such data into separate cells. The package also includes functions to stack groups of columns and to reshape wide data, even when the data are "unbalanced"---something which reshape (from base R) does not handle, and which melt and dcast from reshape2 do not easily handle.
Author: Ananda Mahto [aut, cre]
Maintainer: Ananda Mahto <mrdwab@gmail.com>

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Package spatstat.geom updated to version 3.7-2 with previous version 3.7-0 dated 2026-01-20

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

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Package showtext updated to version 0.9-8 with previous version 0.9-7 dated 2024-03-02

Title: Using Fonts More Easily in R Graphs
Description: Making it easy to use various types of fonts ('TrueType', 'OpenType', Type 1, web fonts, etc.) in R graphs, and supporting most output formats of R graphics including PNG, PDF and SVG. Text glyphs will be converted into polygons or raster images, hence after the plot has been created, it no longer relies on the font files. No external software such as 'Ghostscript' is needed to use this package.
Author: Yixuan Qiu [aut, cre], Dave Raggett [ctb]
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

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Package panelView updated to version 1.2.1 with previous version 1.2.0 dated 2026-03-11

Title: Visualizing Panel Data
Description: Visualizes panel data. It has three main functionalities: (1) it plots the treatment status and missing values in a panel dataset; (2) it visualizes the temporal dynamics of a main variable of interest; (3) it depicts the bivariate relationships between a treatment variable and an outcome variable either by unit or in aggregate. For details, see <doi:10.18637/jss.v107.i07>.
Author: Yiqing Xu [aut, cre] , Hongyu Mou [aut], Licheng Liu [aut]
Maintainer: Yiqing Xu <yiqingxu@stanford.edu>

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Package graphicalMCP updated to version 0.2.9 with previous version 0.2.8 dated 2025-05-06

Title: Graphical Multiple Comparison Procedures
Description: Multiple comparison procedures (MCPs) control the familywise error rate in clinical trials. Graphical MCPs include many commonly used procedures as special cases; see Bretz et al. (2011) <doi:10.1002/bimj.201000239>, Lu (2016) <doi:10.1002/sim.6985>, and Xi et al. (2017) <doi:10.1002/bimj.201600233>. This package is a low-dependency implementation of graphical MCPs which allow mixed types of tests. It also includes power simulations and visualization of graphical MCPs.
Author: Dong Xi [aut, cre], Ethan Brockmann [aut], Gilead Sciences, Inc. [cph, fnd]
Maintainer: Dong Xi <dong.xi1@gilead.com>

Diff between graphicalMCP versions 0.2.8 dated 2025-05-06 and 0.2.9 dated 2026-03-21

 graphicalMCP-0.2.8/graphicalMCP/tests/testthat/Rplots.pdf         |only
 graphicalMCP-0.2.9/graphicalMCP/DESCRIPTION                       |    8 +-
 graphicalMCP-0.2.9/graphicalMCP/MD5                               |   19 ++---
 graphicalMCP-0.2.9/graphicalMCP/NEWS.md                           |    5 +
 graphicalMCP-0.2.9/graphicalMCP/R/graph_test_closure.R            |   11 ++
 graphicalMCP-0.2.9/graphicalMCP/build/partial.rdb                 |binary
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 graphicalMCP-0.2.9/graphicalMCP/inst/doc/graph-examples.html      |   38 +++++-----
 graphicalMCP-0.2.9/graphicalMCP/inst/doc/graphicalMCP.html        |   14 +--
 graphicalMCP-0.2.9/graphicalMCP/inst/doc/internal-validation.html |   14 +--
 graphicalMCP-0.2.9/graphicalMCP/inst/doc/shortcut-testing.html    |   26 +++---
 11 files changed, 85 insertions(+), 76 deletions(-)

More information about graphicalMCP at CRAN
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Package connectapi updated to version 0.11.1 with previous version 0.11.0 dated 2026-02-25

Title: Utilities for Interacting with the 'Posit Connect' Server API
Description: Provides a helpful 'R6' class and methods for interacting with the 'Posit Connect' Server API along with some meaningful utility functions for regular tasks. API documentation varies by 'Posit Connect' installation and version, but the latest documentation is also hosted publicly at <https://docs.posit.co/connect/api/>.
Author: Kara Woo [aut, cre], Toph Allen [aut], Neal Richardson [aut], Sean Lopp [aut], Cole Arendt [aut], Posit, PBC [cph, fnd]
Maintainer: Kara Woo <kara.woo@posit.co>

Diff between connectapi versions 0.11.0 dated 2026-02-25 and 0.11.1 dated 2026-03-21

 DESCRIPTION                   |    6 ++---
 MD5                           |   22 ++++++++++-----------
 NEWS.md                       |    4 +++
 R/get.R                       |    2 -
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 README.md                     |    3 --
 inst/doc/customize-http.html  |    4 +--
 inst/doc/getting-started.html |    4 +--
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 tests/testthat/test-get.R     |    5 ++--
 tests/testthat/test-parse.R   |   43 ++++++++++++++++++++++++++++++++++++++++++
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Package CohortCharacteristics updated to version 1.1.2 with previous version 1.1.1 dated 2026-01-28

Title: Summarise and Visualise Characteristics of Patients in the OMOP CDM
Description: Summarise and visualise the characteristics of patients in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model (CDM).
Author: Marti Catala [aut, cre] , Yuchen Guo [aut] , Mike Du [ctb] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Nuria Mercade-Besora [aut] , Marta Alcalde [aut]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

Diff between CohortCharacteristics versions 1.1.1 dated 2026-01-28 and 1.1.2 dated 2026-03-21

 DESCRIPTION                                              |    6 
 MD5                                                      |  244 
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 NEWS.md                                                  |  203 
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 R/table.R                                                |  250 
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 R/utilities.R                                            |  126 
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 man/tableCohortCodelist.Rd                               |   80 
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 man/tableCohortOverlap.Rd                                |  154 
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 man/tableDoc.Rd                                          |   90 
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 man/tableTopLargeScaleCharacteristics.Rd                 |  146 
 man/timeScaleDoc.Rd                                      |   24 
 man/uniqueCombinationsDoc.Rd                             |   26 
 tests/manual/test-sqltest.R                              |  188 
 tests/spelling.R                                         |   10 
 tests/testthat.R                                         |   24 
 tests/testthat/setup.R                                   |  118 
 tests/testthat/test-benchmarkCohortCharacteristics.R     |   44 
 tests/testthat/test-plotCharacteristics.R                |  472 
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 tests/testthat/test-plotCohortTiming.R                   |  508 
 tests/testthat/test-plotLargeScaleCharacteristics.R      |  328 
 tests/testthat/test-summariseCharacteristics.R           | 3406 ++--
 tests/testthat/test-summariseCohortAttrition.R           |   60 
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 tests/testthat/test-summariseLargeScaleCharacteristics.R |  930 -
 tests/testthat/test-table.R                              |   18 
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 tests/testthat/test-tableCohortAttrition.R               |   24 
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 tests/testthat/test-tableLargeScaleCharacteristics.R     |  380 
 tests/testthat/test-utilities.R                          |   52 
 vignettes/summarise_characteristics.Rmd                  |  456 
 vignettes/summarise_cohort_overlap.Rmd                   |  198 
 vignettes/summarise_cohort_timing.Rmd                    |  224 
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 123 files changed, 25976 insertions(+), 25967 deletions(-)

More information about CohortCharacteristics at CRAN
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