Mon, 09 Feb 2026

Package eoffice updated to version 0.2.3 with previous version 0.2.2 dated 2022-10-05

Title: Export or Graph and Tables to 'Microsoft' Office and Import Figures and Tables
Description: Provides wrap functions to export and import graphics and data frames in R to 'microsoft' office. And This package also provide write out figures with lots of different formats. Since people may work on the platform without GUI support, the package also provide function to easily write out figures to lots of different type of formats. Now this package provide function to extract colors from all types of figures and pdf files.
Author: Kai Guo [aut, cre]
Maintainer: Kai Guo <guokai8@gmail.com>

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Package commecometrics updated to version 1.1.1 with previous version 1.0.1 dated 2025-10-07

Title: Ecometric Models of Trait–Environment Relationships at the Community Level
Description: Provides a framework for modeling relationships between functional traits and both quantitative and qualitative environmental variables at the community level. It includes tools for trait binning, likelihood-based environmental estimation, model evaluation, fossil projection into modern ecometric space, and result visualization. For more details see Vermillion et al. (2018) <doi:10.1007/978-3-319-94265-0_17>, Polly et al. (2011) <doi:10.1098/rspb.2010.2233> and Polly and Head (2015) <doi:10.1017/S1089332600002953>.
Author: Maria A. Hurtado-Materon [cre, aut], Leila Siciliano-Martina [aut], Rachel A. Short [aut], Jenny L. McGuire [aut], A. Michelle Lawing [cph, aut]
Maintainer: Maria A. Hurtado-Materon <maria.h.m_1995@tamu.edu>

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Package calcal updated to version 1.0.2 with previous version 1.0.1 dated 2026-01-09

Title: Calendrical Calculations
Description: An R implementation of the algorithms described in Reingold and Dershowitz (4th ed., Cambridge University Press, 2018) <doi:10.1017/9781107415058>, allowing conversion between many different calendar systems. Cultural and religious holidays from several calendars can be calculated.
Author: Rob Hyndman [aut, cre, cph] , Edward Reingold [cph, ctb] , Nachum Dershowitz [cph, ctb]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

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Package pprof updated to version 1.0.3 with previous version 1.0.2 dated 2025-06-20

Title: Modeling, Standardization and Testing for Provider Profiling
Description: Implements linear and generalized linear models for provider profiling, incorporating both fixed and random effects. For large-scale providers, the linear profiled-based method and the SerBIN method for binary data reduce the computational burden. Provides post-modeling features, such as indirect and direct standardization measures, hypothesis testing, confidence intervals, and post-estimation visualization. For more information, see Wu et al. (2022) <doi:10.1002/sim.9387>.
Author: Xiaohan Liu [aut, cre], Lingfeng Luo [aut], Yubo Shao [aut], Xiangeng Fang [aut], Wenbo Wu [aut], Kevin He [aut]
Maintainer: Xiaohan Liu <xhliuu@umich.edu>

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Package valytics updated to version 0.4.0 with previous version 0.3.0 dated 2026-01-22

Title: Statistical Methods for Analytical Method Comparison and Validation
Description: Provides statistical methods for analytical method comparison and validation studies. Implements Bland-Altman analysis for assessing agreement between measurement methods (Bland & Altman (1986) <doi:10.1016/S0140-6736(86)90837-8>), Passing-Bablok regression for non-parametric method comparison (Passing & Bablok (1983) <doi:10.1515/cclm.1983.21.11.709>), and Deming regression accounting for measurement error in both variables (Linnet (1993) <doi:10.1093/clinchem/39.3.424>). Also includes tools for setting quality goals based on biological variation (Fraser & Petersen (1993) <doi:10.1093/clinchem/39.7.1447>) and calculating Six Sigma metrics, precision experiments with variance component analysis, precision profiles for functional sensitivity estimation (Kroll & Emancipator (1993) <https://pubmed.ncbi.nlm.nih.gov/8448849/>). Commonly used in clinical laboratory method validation. Provides publication-ready plots and comprehensive statistical [...truncated...]
Author: Marcello Grassi [aut, cre]
Maintainer: Marcello Grassi <marcello.grassi@tum.de>

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Package tidywikidatar readmission to version 0.6.1 with previous version 0.6.0 dated 2026-02-04

Title: Explore 'Wikidata' Through Tidy Data Frames
Description: Query 'Wikidata' API <https://www.wikidata.org/wiki/Wikidata:Main_Page> with ease, get tidy data frames in response, and cache data in a local database.
Author: Giorgio Comai [aut, cre, cph] , EDJNet [fnd]
Maintainer: Giorgio Comai <giorgio.comai@cci.tn.it>

This is a re-admission after prior archival of version 0.6.0 dated 2026-02-04

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Package rapsimng updated to version 0.4.6 with previous version 0.4.5 dated 2025-09-22

Title: APSIM Next Generation
Description: The Agricultural Production Systems sIMulator ('APSIM') is a widely used to simulate the agricultural systems for multiple crops. This package is designed to create, modify and run 'apsimx' files in the 'APSIM' Next Generation <https://www.apsim.info/>.
Author: Bangyou Zheng [aut, cre]
Maintainer: Bangyou Zheng <zheng.bangyou@gmail.com>

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Package GALLO updated to version 2.0 with previous version 1.5 dated 2024-06-04

Title: Genomic Annotation in Livestock for Positional Candidate LOci
Description: The accurate annotation of genes and Quantitative Trait Loci (QTLs) located within candidate markers and/or regions (haplotypes, windows, CNVs, etc) is a crucial step the most common genomic analyses performed in livestock, such as Genome-Wide Association Studies or transcriptomics. The Genomic Annotation in Livestock for positional candidate LOci (GALLO) is an R package designed to provide an intuitive and straightforward environment to annotate positional candidate genes and QTLs from high-throughput genetic studies in livestock. Moreover, GALLO allows the graphical visualization of gene and QTL annotation results, data comparison among different grouping factors (e.g., methods, breeds, tissues, statistical models, studies, etc.), and QTL enrichment in different livestock species including cattle, pigs, sheep, and chicken, among others.
Author: Pablo Fonseca [aut, cre], Aroa Suarez-Vega [aut], Gabriele Marras [aut], Angela Canovas [aut]
Maintainer: Pablo Fonseca <p.fonseca@csic.es>

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Package froggeR updated to version 1.0.0 with previous version 0.6.0 dated 2025-11-14

Title: Structured Project Standards for R and 'Quarto'
Description: Provides an opinionated project scaffold for R and 'Quarto' analysis work, enforcing a consistent directory layout with scripts in R/, .qmd files in pages/, and assets in www/. The primary entry point, init(), downloads the latest template from a companion GitHub repository so that project structure evolves independently of package releases. Supports persistent author metadata and 'Quarto' brand configuration that carry across projects automatically.
Author: Kyle Grealis [aut, cre]
Maintainer: Kyle Grealis <kyleGrealis@proton.me>

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Package arkdb updated to version 0.0.19 with previous version 0.0.18 dated 2024-01-15

Title: Archive and Unarchive Databases Using Flat Files
Description: Flat text files provide a robust, compressible, and portable way to store tables from databases. This package provides convenient functions for exporting tables from relational database connections into compressed text files and streaming those text files back into a database without requiring the whole table to fit in working memory.
Author: Carl Boettiger [aut, cre, cph] , Richard FitzJohn [ctb], Brandon Bertelsen [ctb]
Maintainer: Carl Boettiger <cboettig@gmail.com>

Diff between arkdb versions 0.0.18 dated 2024-01-15 and 0.0.19 dated 2026-02-09

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Package OmopConstructor updated to version 0.2.0 with previous version 0.1.0 dated 2025-09-30

Title: Build Tables in the OMOP Common Data Model
Description: Provides functionality to construct standardised tables from health care data formatted according to the Observational Medical Outcomes Partnership (OMOP) Common Data Model. The package includes tools to build key tables such as observation period and drug era, among others.
Author: Marti Catala [aut, cre] , Elin Rowlands [ctb] , Cecilia Campanile [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

Diff between OmopConstructor versions 0.1.0 dated 2025-09-30 and 0.2.0 dated 2026-02-09

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Package plinkQC updated to version 1.0.1 with previous version 1.0.0 dated 2025-11-25

Title: Genotype Quality Control with 'PLINK'
Description: Genotyping arrays enable the direct measurement of an individuals genotype at thousands of markers. 'plinkQC' facilitates genotype quality control for genetic association studies as described by Anderson and colleagues (2010) <doi:10.1038/nprot.2010.116>. It makes 'PLINK' basic statistics (e.g. missing genotyping rates per individual, allele frequencies per genetic marker) and relationship functions accessible from 'R' and generates a per-individual and per-marker quality control report. Individuals and markers that fail the quality control can subsequently be removed to generate a new, clean dataset. Removal of individuals based on relationship status is optimised to retain as many individuals as possible in the study. Additionally, there is a trained classifier to predict genomic ancestry of human samples.
Author: Hannah Meyer [aut, cre] , Caroline Walter [ctb], Maha Syed [ctb]
Maintainer: Hannah Meyer <hannah.v.meyer@gmail.com>

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New package tost.suite with initial version 3.1.9
Package: tost.suite
Version: 3.1.9
Date: 2026-1-28
Title: Two One-Sided Tests for Equivalence
Imports: combinat, Hmisc, index0, lm.beta, mathjaxr, rlang, stringr, webuse
Depends: R (>= 3.5.0)
BuildManual: TRUE
Description: Ports the 'Stata' ado package 'tost' which provides a suite of commands to perform two one-sided tests for equivalence following the approach by Schuirman (1987) <doi:10.1007/BF01068419>. Commands are provided for t tests on means, z tests on proportions, McNemar's test (1947) <doi:10.1007/BF02295996> on proportions and related tests, tests on the regression coefficients from OLS linear regression (not yet implementing all of the current regression options from the 'Stata' 'tostregress' command, e.g., survey regression options, estimation options, etc.), Wilcoxon's (1945) <doi:10.2307/3001968> signed rank tests, Wilcoxon-Mann-Whitney (1947) <doi:10.1214/aoms/1177730491> rank sum tests, supporting inference about equivalence for a number of paired and unpaired, parametric and nonparametric study designs and data types. Each command tests a null hypothesis that samples were drawn from populations different by at least plus or minus some researcher-defined level of [...truncated...]
License: GPL-2
LazyData: no
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-02-06 20:32:33 UTC; alexis
Author: Alexis Dinno [aut, cre, cph]
Maintainer: Alexis Dinno <alexis.dinno@pdx.edu>
Repository: CRAN
Date/Publication: 2026-02-09 20:10:02 UTC

More information about tost.suite at CRAN
Permanent link

Package qrlabelr updated to version 0.2.1 with previous version 0.2.0 dated 2023-12-20

Title: Generate Machine- And Human-Readable Plot Labels for Experiments
Description: A no-frills open-source solution for designing plot labels affixed with QR codes. It features 'EasyQrlabelr', a 'BrAPI-compliant' 'shiny' app that simplifies the process of plot label design for non-R users. It builds on the methods described by Wu 'et al.' (2020) <doi:10.1111/2041-210X.13405>.
Author: Alexander Wireko Kena [aut, cre] , Ebenezer Ogoe [aut], Clara Cruet Burgos [aut], Geoffrey Preston Morris [aut], Rubi Raymundo-Carhuapoma [aut], Yihan Wu [ctb] , Robert Colautti [ctb] , Colorado State University [cph], Kwame Nkrumah University of Sci [...truncated...]
Maintainer: Alexander Wireko Kena <alex.kena24@gmail.com>

Diff between qrlabelr versions 0.2.0 dated 2023-12-20 and 0.2.1 dated 2026-02-09

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Permanent link

New package multigroup.vaccine with initial version 0.1.1
Package: multigroup.vaccine
Title: Analyze Outbreak Models of Multi-Group Populations with Vaccination
Version: 0.1.1
Description: Model infectious disease dynamics in populations with multiple subgroups having different vaccination rates, transmission characteristics, and contact patterns. Calculate final and intermediate outbreak sizes, form age-structured contact models with automatic fetching of U.S. census data, and explore vaccination scenarios with an interactive 'shiny' dashboard for a model with two subgroups, as described in Nguyen et al. (2024) <doi:10.1016/j.jval.2024.03.039> and Duong et al. (2026) <doi:10.1093/ofid/ofaf695.217>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: deSolve, graphics, shiny, stats, bslib (>= 0.9.0), htmltools, socialmixr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0),
VignetteBuilder: knitr
URL: https://epiforesite.github.io/multigroup-vaccine/
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2026-02-06 23:02:13 UTC; u0578572
Author: Damon Toth [aut, cre, cph] , Jake Wagoner [aut] , Willy Ray [aut], George Vega Yon [ctb] , Centers for Disease Control and Prevention's Center for Forecasting and Outbreak Analytics [fnd]
Maintainer: Damon Toth <damon.toth@hsc.utah.edu>
Repository: CRAN
Date/Publication: 2026-02-09 20:10:05 UTC

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Package adapt3 updated to version 2.0.0 with previous version 1.0.1 dated 2025-07-16

Title: Adaptive Dynamics and Community Matrix Model Projections
Description: Runs projections of groups of matrix projection models (MPMs), allowing density dependence mechanisms to work across MPMs. This package was developed to run both adaptive dynamics simulations such as pairwise and multiple invasibility analyses, and community projections in which species are represented by MPMs. All forms of MPMs are allowed, including integral projection models (IPMs).
Author: Richard P. Shefferson [aut, cre]
Maintainer: Richard P. Shefferson <cdorm@g.ecc.u-tokyo.ac.jp>

Diff between adapt3 versions 1.0.1 dated 2025-07-16 and 2.0.0 dated 2026-02-09

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New package hemat with initial version 1.1.2
Package: hemat
Title: Hematimetric Indices Calculator
Version: 1.1.2
Maintainer: Andre Luis Fernandes dos Santos <andrvet@alumni.usp.br>
Description: Tools to calculate Mean Corpuscular Volume, Mean Corpuscular Hemoglobin, and Mean Corpuscular Hemoglobin Concentration, which are essential for assessing red blood cell health and diagnosing blood disorders.
License: GPL (>= 2)
Suggests: testthat (>= 3.3.1)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-02-06 10:53:33 UTC; andre
Author: Andre Luis Fernandes dos Santos [aut, cre]
Repository: CRAN
Date/Publication: 2026-02-09 19:20:02 UTC

More information about hemat at CRAN
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New package heaping with initial version 0.1.0
Package: heaping
Title: Correction of Heaping on Individual Level
Version: 0.1.0
Description: Provides methods for correcting heaping (digit preference) in survey data at the individual record level. Age heaping, where respondents disproportionately report ages ending in 0 or 5, is a common phenomenon that can distort demographic analyses. Unlike traditional smoothing methods that only correct aggregated statistics, this package corrects individual values by replacing a calculated proportion of heaped observations with draws from fitted truncated distributions (log-normal, normal, or uniform). Supports 5-year and 10-year heaping patterns, single heap correction, and optional model-based adjustment to preserve covariate relationships.
License: GPL (>= 2)
URL: https://github.com/matthias-da/heaping
BugReports: https://github.com/matthias-da/heaping/issues
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5.0)
Imports: fitdistrplus, EnvStats, stats
Suggests: VIM, ranger, data.table, ggplot2, simPop, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-06 13:38:50 UTC; matthias
Author: Matthias Templ [aut, cre] , Bernhard Meindl [ctb]
Maintainer: Matthias Templ <matthias.templ@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-09 19:20:07 UTC

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New package GAReg with initial version 0.1.0
Package: GAReg
Title: Genetic Algorithms in Regression
Version: 0.1.0
Description: Provides a genetic algorithm framework for regression problems requiring discrete optimization over model spaces with unknown or varying dimension, where gradient-based methods and exhaustive enumeration are impractical. Uses a compact chromosome representation for tasks including spline knot placement and best-subset variable selection, with constraint-preserving crossover and mutation, exact uniform initialization under spacing constraints, steady-state replacement, and optional island-model parallelization from Lu, Lund, and Lee (2010, <doi:10.1214/09-AOAS289>). The computation is built on the 'GA' engine of Scrucca (2017, <doi:10.32614/RJ-2017-008>) and 'changepointGA' engine from Li and Lu (2024, <doi:10.48550/arXiv.2410.15571>). In challenging high-dimensional settings, 'GAReg' enables efficient search and delivers near-optimal solutions when alternative algorithms are not well-justified.
License: Apache License (== 2.0)
Depends: R (>= 4.3.0)
Imports: stats, splines, utils, methods, changepointGA, GA
URL: https://github.com/mli171/GAReg
BugReports: https://github.com/mli171/GAReg/issues
Suggests: MASS, knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-06 14:33:17 UTC; mli171
Author: Mo Li [aut, cre], QiQi Lu [aut], Robert Lund [aut], Xueheng Shi [aut]
Maintainer: Mo Li <mo.li@louisiana.edu>
Repository: CRAN
Date/Publication: 2026-02-09 19:20:18 UTC

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Package frontmatter updated to version 0.2.0 with previous version 0.1.0 dated 2026-01-14

Title: Parse Front Matter from Documents
Description: Extracts and parses structured metadata ('YAML' or 'TOML') from the beginning of text documents. Front matter is a common pattern in 'Quarto' documents, 'R Markdown' documents, static site generators, documentation systems, content management tools and even 'Python' and 'R' scripts where metadata is placed at the top of a document, separated from the main content by delimiter fences.
Author: Garrick Aden-Buie [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Garrick Aden-Buie <garrick@posit.co>

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 frontmatter-0.2.0/frontmatter/tests/testthat/test-comment-formats.R    |    6 
 frontmatter-0.2.0/frontmatter/tests/testthat/test-formats.R            |only
 frontmatter-0.2.0/frontmatter/tests/testthat/test-parse_front_matter.R |  181 +++++++++-
 frontmatter-0.2.0/frontmatter/tests/testthat/test-whitespace.R         |    6 
 frontmatter-0.2.0/frontmatter/tests/testthat/test-write_front_matter.R |only
 18 files changed, 430 insertions(+), 57 deletions(-)

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Permanent link

New package egnyte with initial version 0.1.2
Package: egnyte
Title: Read and Write Files from 'Egnyte'
Version: 0.1.2
Description: Provides functions to read and write files from 'Egnyte' cloud storage using the 'Egnyte' API <https://developers.egnyte.com/docs>. Supports both API key and 'OAuth' 2.0 authentication for file transfer operations.
Depends: R (>= 4.1.0)
License: Apache License 2.0 | file LICENSE
URL: https://atorus-research.github.io/egnyte/
BugReports: https://github.com/atorus-research/egnyte/issues
Encoding: UTF-8
Imports: cli, httr2
Suggests: haven, jsonlite, knitr, readr, readxl, rmarkdown, testthat (>= 3.0.0), withr, writexl
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-06 14:00:51 UTC; mstackhouse
Author: Mike Stackhouse [aut, cre]
Maintainer: Mike Stackhouse <mike.stackhouse@atorusresearch.com>
Repository: CRAN
Date/Publication: 2026-02-09 19:20:13 UTC

More information about egnyte at CRAN
Permanent link

New package appraise with initial version 0.1.1
Package: appraise
Title: Bias-Aware Evidence Synthesis in Systematic Reviews
Version: 0.1.1
Description: Implements a bias-aware framework for evidence synthesis in systematic reviews and health technology assessments, as described in Kabali (2025) <doi:10.1111/jep.70272>. The package models study-level effect estimates by explicitly accounting for multiple sources of bias through prior distributions and propagates uncertainty using posterior simulation. Evidence across studies is combined using posterior mixture distributions rather than a single pooled likelihood, enabling probabilistic inference on clinically or policy-relevant thresholds. The methods are designed to support transparent decision-making when study relevance and bias vary across the evidence base.
License: GPL-3
Encoding: UTF-8
Imports: stats
Suggests: sn, VGAM, cmdstanr, rmarkdown, knitr
Additional_repositories: https://stan-dev.r-universe.dev/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-06 19:07:35 UTC; 12896
Author: Conrad Kabali [aut, cre]
Maintainer: Conrad Kabali <conrad.kabali@utoronto.ca>
Repository: CRAN
Date/Publication: 2026-02-09 20:00:02 UTC

More information about appraise at CRAN
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Package tidycensus updated to version 1.7.5 with previous version 1.7.3 dated 2025-07-24

Title: Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames
Description: An integrated R interface to several United States Census Bureau APIs (<https://www.census.gov/data/developers/data-sets.html>) and the US Census Bureau's geographic boundary files. Allows R users to return Census and ACS data as tidyverse-ready data frames, and optionally returns a list-column with feature geometry for mapping and spatial analysis.
Author: Kyle Walker [aut, cre], Matt Herman [aut], Kris Eberwein [ctb]
Maintainer: Kyle Walker <kyle@walker-data.com>

Diff between tidycensus versions 1.7.3 dated 2025-07-24 and 1.7.5 dated 2026-02-09

 DESCRIPTION          |   20 +++++++++---------
 MD5                  |   14 ++++++-------
 R/acs.R              |    2 -
 R/estimates.R        |   54 +++++++++++++++++++++++++--------------------------
 R/flows.R            |    2 -
 R/moe.R              |    6 ++---
 man/get_acs.Rd       |    2 -
 man/get_estimates.Rd |    2 -
 8 files changed, 51 insertions(+), 51 deletions(-)

More information about tidycensus at CRAN
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Package OmopViewer updated to version 0.7.0 with previous version 0.6.0 dated 2025-12-10

Title: Visualise OMOP Results using 'shiny' Applications
Description: Visualise results obtained from analysing data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model using 'shiny' applications.
Author: Marti Catala [aut, cre] , Yuchen Guo [aut] , Edward Burn [ctb] , Nuria Mercade-Besora [ctb] , Elin Rowlands [ctb] , Cecilia Campanile [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

Diff between OmopViewer versions 0.6.0 dated 2025-12-10 and 0.7.0 dated 2026-02-09

 OmopViewer-0.6.0/OmopViewer/inst/brand/complement                   |only
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 OmopViewer-0.7.0/OmopViewer/DESCRIPTION                             |   19 
 OmopViewer-0.7.0/OmopViewer/MD5                                     |  131 
 OmopViewer-0.7.0/OmopViewer/NAMESPACE                               |   28 
 OmopViewer-0.7.0/OmopViewer/NEWS.md                                 |   59 
 OmopViewer-0.7.0/OmopViewer/R/about.R                               |   50 
 OmopViewer-0.7.0/OmopViewer/R/appDynamic.R                          |  594 +--
 OmopViewer-0.7.0/OmopViewer/R/appStatic.R                           |  737 ++--
 OmopViewer-0.7.0/OmopViewer/R/background.R                          |  112 
 OmopViewer-0.7.0/OmopViewer/R/buttons.R                             |  252 -
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 OmopViewer-0.7.0/OmopViewer/R/createUi.R                            |  416 +-
 OmopViewer-0.7.0/OmopViewer/R/data.R                                |   34 
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 OmopViewer-0.7.0/OmopViewer/R/functions.R                           |  857 ++--
 OmopViewer-0.7.0/OmopViewer/R/omopViewer-package.R                  |   22 
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 OmopViewer-0.7.0/OmopViewer/R/styleCode.R                           |   20 
 OmopViewer-0.7.0/OmopViewer/R/summary.R                             |   38 
 OmopViewer-0.7.0/OmopViewer/R/sysdata.rda                           |binary
 OmopViewer-0.7.0/OmopViewer/R/theme.R                               |  148 
 OmopViewer-0.7.0/OmopViewer/R/utilities.R                           |   98 
 OmopViewer-0.7.0/OmopViewer/README.md                               |  249 -
 OmopViewer-0.7.0/OmopViewer/build/vignette.rds                      |binary
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 OmopViewer-0.7.0/OmopViewer/inst/brand/ohdsi.yml                    |   35 
 OmopViewer-0.7.0/OmopViewer/inst/brand/sad_robot.yml                |   25 
 OmopViewer-0.7.0/OmopViewer/inst/doc/dynamic_app.R                  |   24 
 OmopViewer-0.7.0/OmopViewer/inst/doc/dynamic_app.Rmd                |   66 
 OmopViewer-0.7.0/OmopViewer/inst/doc/dynamic_app.html               |  759 ++--
 OmopViewer-0.7.0/OmopViewer/inst/doc/edit_static_content.R          |  116 
 OmopViewer-0.7.0/OmopViewer/inst/doc/edit_static_content.Rmd        |  220 -
 OmopViewer-0.7.0/OmopViewer/inst/doc/edit_static_content.html       |  906 ++---
 OmopViewer-0.7.0/OmopViewer/inst/doc/export_static_app.R            |  104 
 OmopViewer-0.7.0/OmopViewer/inst/doc/export_static_app.Rmd          |  270 -
 OmopViewer-0.7.0/OmopViewer/inst/doc/export_static_app.html         | 1637 ++++-----
 OmopViewer-0.7.0/OmopViewer/inst/functions.R                        |  857 ++--
 OmopViewer-0.7.0/OmopViewer/inst/logos/ohdsi_logo.svg               | 1784 +++++-----
 OmopViewer-0.7.0/OmopViewer/man/OmopViewer-package.Rd               |   71 
 OmopViewer-0.7.0/OmopViewer/man/defaultPanels.Rd                    |   38 
 OmopViewer-0.7.0/OmopViewer/man/exportStaticApp.Rd                  |  156 
 OmopViewer-0.7.0/OmopViewer/man/figures/lifecycle-deprecated.svg    |   42 
 OmopViewer-0.7.0/OmopViewer/man/figures/lifecycle-experimental.svg  |   42 
 OmopViewer-0.7.0/OmopViewer/man/figures/lifecycle-stable.svg        |   58 
 OmopViewer-0.7.0/OmopViewer/man/figures/lifecycle-superseded.svg    |   42 
 OmopViewer-0.7.0/OmopViewer/man/getPanel.Rd                         |   46 
 OmopViewer-0.7.0/OmopViewer/man/launchDynamicApp.Rd                 |   28 
 OmopViewer-0.7.0/OmopViewer/man/omopViewerPanels.Rd                 |   40 
 OmopViewer-0.7.0/OmopViewer/man/omopViewerResults.Rd                |   40 
 OmopViewer-0.7.0/OmopViewer/man/omopViewerThemes.Rd                 |   40 
 OmopViewer-0.7.0/OmopViewer/man/panelDetailsFromResult.Rd           |   51 
 OmopViewer-0.7.0/OmopViewer/tests/testthat.R                        |   24 
 OmopViewer-0.7.0/OmopViewer/tests/testthat/_snaps/appStatic.md      |   14 
 OmopViewer-0.7.0/OmopViewer/tests/testthat/test-appStatic.R         |  453 +-
 OmopViewer-0.7.0/OmopViewer/tests/testthat/test-background.R        |  108 
 OmopViewer-0.7.0/OmopViewer/tests/testthat/test-choices.R           |  336 -
 OmopViewer-0.7.0/OmopViewer/tests/testthat/test-functions.R         |   30 
 OmopViewer-0.7.0/OmopViewer/tests/testthat/test-packagesSupported.R |   14 
 OmopViewer-0.7.0/OmopViewer/tests/testthat/test-readme.R            |only
 OmopViewer-0.7.0/OmopViewer/tests/testthat/test-summary.R           |  380 +-
 OmopViewer-0.7.0/OmopViewer/vignettes/dynamic_app.Rmd               |   66 
 OmopViewer-0.7.0/OmopViewer/vignettes/edit_static_content.Rmd       |  220 -
 OmopViewer-0.7.0/OmopViewer/vignettes/export_static_app.Rmd         |  270 -
 68 files changed, 7575 insertions(+), 7412 deletions(-)

More information about OmopViewer at CRAN
Permanent link

New package ggmlR with initial version 0.5.1
Package: ggmlR
Title: 'GGML' Tensor Operations for Machine Learning
Version: 0.5.1
Description: Provides 'R' bindings to the 'GGML' tensor library for efficient machine learning computation. Implements core tensor operations including element-wise arithmetic, reshaping, and matrix multiplication. Supports neural network layers (attention, convolutions, normalization), activation functions, and quantization. Features optimization/training API with 'AdamW' (Adam with Weight decay) and 'SGD' (Stochastic Gradient Descent) optimizers, 'MSE' (Mean Squared Error) and cross-entropy losses. Multi-backend support with CPU and optional 'Vulkan' GPU (Graphics Processing Unit) acceleration. See <https://github.com/ggml-org/ggml> for more information about the underlying library.
License: MIT + file LICENSE
URL: https://github.com/Zabis13/ggmlR
BugReports: https://github.com/Zabis13/ggmlR/issues
Encoding: UTF-8
SystemRequirements: C++17, GNU make
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-02-05 18:46:14 UTC; yuri
Author: Yuri Baramykov [aut, cre], Georgi Gerganov [ctb, cph] , Jeffrey Quesnelle [ctb, cph] , Bowen Peng [ctb, cph] , Mozilla Foundation [ctb, cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>
Repository: CRAN
Date/Publication: 2026-02-09 19:00:02 UTC

More information about ggmlR at CRAN
Permanent link

Package targets updated to version 1.12.0 with previous version 1.11.4 dated 2025-09-13

Title: Dynamic Function-Oriented 'Make'-Like Declarative Pipelines
Description: Pipeline tools coordinate the pieces of computationally demanding analysis projects. The 'targets' package is a 'Make'-like pipeline tool for statistics and data science in R. The package skips costly runtime for tasks that are already up to date, orchestrates the necessary computation with implicit parallel computing, and abstracts files as R objects. If all the current output matches the current upstream code and data, then the whole pipeline is up to date, and the results are more trustworthy than otherwise. The methodology in this package borrows from GNU 'Make' (2015, ISBN:978-9881443519) and 'drake' (2018, <doi:10.21105/joss.00550>).
Author: William Michael Landau [aut, cre] , Matthew T. Warkentin [ctb], Mark Edmondson [ctb] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between targets versions 1.11.4 dated 2025-09-13 and 1.12.0 dated 2026-02-09

 targets-1.11.4/targets/tests/interactive/_targets.R             |only
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 targets-1.12.0/targets/DESCRIPTION                              |    6 
 targets-1.12.0/targets/LICENSE                                  |    2 
 targets-1.12.0/targets/MD5                                      |  223 ++++------
 targets-1.12.0/targets/NAMESPACE                                |    3 
 targets-1.12.0/targets/NEWS.md                                  |   13 
 targets-1.12.0/targets/R/class_active.R                         |    1 
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 targets-1.12.0/targets/R/class_clustermq.R                      |    7 
 targets-1.12.0/targets/R/class_cue.R                            |    3 
 targets-1.12.0/targets/R/class_junction.R                       |    2 
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 targets-1.12.0/targets/R/class_passive.R                        |    1 
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 targets-1.12.0/targets/R/class_runtime.R                        |    6 
 targets-1.12.0/targets/R/class_target.R                         |    2 
 targets-1.12.0/targets/R/class_vector.R                         |    4 
 targets-1.12.0/targets/R/class_visnetwork.R                     |    1 
 targets-1.12.0/targets/R/tar_active.R                           |    2 
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 targets-1.12.0/targets/R/tar_delete.R                           |    2 
 targets-1.12.0/targets/R/tar_destroy.R                          |    2 
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 targets-1.12.0/targets/R/tar_repository_cas.R                   |    6 
 targets-1.12.0/targets/R/tar_resources_aws.R                    |    2 
 targets-1.12.0/targets/R/tar_script.R                           |    3 
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 targets-1.12.0/targets/R/utils_assert.R                         |   24 -
 targets-1.12.0/targets/R/utils_aws.R                            |    6 
 targets-1.12.0/targets/R/utils_callr.R                          |    6 
 targets-1.12.0/targets/R/utils_data.R                           |    7 
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 targets-1.12.0/targets/tests/hpc/test-crew_local.R              |    8 
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 targets-1.12.0/targets/tests/hpc/test-retrieval.R               |    4 
 targets-1.12.0/targets/tests/performance/test-memory.R          |    8 
 targets-1.12.0/targets/tests/testthat/helper-utils.R            |   11 
 targets-1.12.0/targets/tests/testthat/test-class_balanced.R     |only
 targets-1.12.0/targets/tests/testthat/test-class_builder.R      |   19 
 targets-1.12.0/targets/tests/testthat/test-class_clustermq.R    |   73 ++-
 targets-1.12.0/targets/tests/testthat/test-class_crew.R         |   40 -
 targets-1.12.0/targets/tests/testthat/test-class_options.R      |    8 
 targets-1.12.0/targets/tests/testthat/test-class_parallel.R     |   21 
 targets-1.12.0/targets/tests/testthat/test-class_runtime.R      |    8 
 targets-1.12.0/targets/tests/testthat/test-class_terse.R        |    2 
 targets-1.12.0/targets/tests/testthat/test-class_torch.R        |   16 
 targets-1.12.0/targets/tests/testthat/test-class_vector.R       |    4 
 targets-1.12.0/targets/tests/testthat/test-tar_envvars.R        |    3 
 targets-1.12.0/targets/tests/testthat/test-tar_format.R         |    2 
 targets-1.12.0/targets/tests/testthat/test-tar_igraph.R         |only
 targets-1.12.0/targets/tests/testthat/test-tar_load.R           |    7 
 targets-1.12.0/targets/tests/testthat/test-tar_make.R           |    8 
 targets-1.12.0/targets/tests/testthat/test-tar_make_clustermq.R |   14 
 targets-1.12.0/targets/tests/testthat/test-tar_option_set.R     |    4 
 targets-1.12.0/targets/tests/testthat/test-tar_option_unset.R   |only
 targets-1.12.0/targets/tests/testthat/test-tar_path_target.R    |   20 
 targets-1.12.0/targets/tests/testthat/test-tar_repository_cas.R |    4 
 113 files changed, 653 insertions(+), 475 deletions(-)

More information about targets at CRAN
Permanent link

Package tarchetypes updated to version 0.14.0 with previous version 0.13.2 dated 2025-09-13

Title: Archetypes for Targets
Description: Function-oriented Make-like declarative pipelines for Statistics and data science are supported in the 'targets' R package. As an extension to 'targets', the 'tarchetypes' package provides convenient user-side functions to make 'targets' easier to use. By establishing reusable archetypes for common kinds of targets and pipelines, these functions help express complicated reproducible pipelines concisely and compactly. The methods in this package were influenced by the 'targets' R package. by Will Landau (2018) <doi:10.21105/joss.00550>.
Author: William Michael Landau [aut, cre] , Rudolf Siegel [ctb] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between tarchetypes versions 0.13.2 dated 2025-09-13 and 0.14.0 dated 2026-02-09

 DESCRIPTION                          |   11 +-
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 NAMESPACE                            |    1 
 NEWS.md                              |   10 +
 R/tar_age.R                          |   15 ++
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Package historicalborrow updated to version 1.1.1 with previous version 1.1.0 dated 2024-09-10

Title: Non-Longitudinal Bayesian Historical Borrowing Models
Description: Historical borrowing in clinical trials can improve precision and operating characteristics. This package supports a hierarchical model and a mixture model to borrow historical control data from other studies to better characterize the control response of the current study. It also quantifies the amount of borrowing through benchmark models (independent and pooled). Some of the methods are discussed by Viele et al. (2013) <doi:10.1002/pst.1589>.
Author: William Michael Landau [aut, cre] , Albert Man [rev], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between historicalborrow versions 1.1.0 dated 2024-09-10 and 1.1.1 dated 2026-02-09

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Package BCSreg updated to version 1.1.1 with previous version 1.1.0 dated 2026-01-12

Title: Box-Cox Symmetric Regression for Non-Negative Data
Description: A collection of tools for regression analysis of non-negative data, including strictly positive and zero-inflated observations, based on the class of the Box-Cox symmetric (BCS) distributions and its zero-adjusted extension. The BCS distributions are a class of flexible probability models capable of describing different levels of skewness and tail-heaviness. The package offers a comprehensive regression modeling framework, including estimation and tools for evaluating goodness-of-fit.
Author: Felipe Queiroz [aut] , Rodrigo Medeiros [aut, cre, cph]
Maintainer: Rodrigo Medeiros <rodrigo.matheus@ufrn.br>

Diff between BCSreg versions 1.1.0 dated 2026-01-12 and 1.1.1 dated 2026-02-09

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Package ThreeWay updated to version 1.1.4 with previous version 1.1.3 dated 2015-09-07

Title: Three-Way Component Analysis
Description: Component analysis for three-way data arrays by means of Candecomp/Parafac, Tucker3, Tucker2 and Tucker1 models.
Author: Maria Antonietta Del Ferraro [aut], Paolo Giordani [aut, cre], Henk A.L. Kiers [aut]
Maintainer: Paolo Giordani <paolo.giordani@uniroma1.it>

Diff between ThreeWay versions 1.1.3 dated 2015-09-07 and 1.1.4 dated 2026-02-09

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Package SIBER updated to version 2.1.10 with previous version 2.1.9 dated 2023-10-19

Title: Stable Isotope Bayesian Ellipses in R
Description: Fits bi-variate ellipses to stable isotope data using Bayesian inference with the aim being to describe and compare their isotopic niche.
Author: Andrew Jackson [aut, cre] , Andrew Parnell [aut]
Maintainer: Andrew Jackson <jacksoan@tcd.ie>

Diff between SIBER versions 2.1.9 dated 2023-10-19 and 2.1.10 dated 2026-02-09

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Package sentencepiece updated to version 0.2.5 with previous version 0.2.4 dated 2025-11-27

Title: Text Tokenization using Byte Pair Encoding and Unigram Modelling
Description: Unsupervised text tokenizer allowing to perform byte pair encoding and unigram modelling. Wraps the 'sentencepiece' library <https://github.com/google/sentencepiece> which provides a language independent tokenizer to split text in words and smaller subword units. The techniques are explained in the paper "SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing" by Taku Kudo and John Richardson (2018) <doi:10.18653/v1/D18-2012>. Provides as well straightforward access to pretrained byte pair encoding models and subword embeddings trained on Wikipedia using 'word2vec', as described in "BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages" by Benjamin Heinzerling and Michael Strube (2018) <http://www.lrec-conf.org/proceedings/lrec2018/pdf/1049.pdf>.
Author: Jan Wijffels [aut, cre, cph] , BNOSAC [cph] , Google Inc. [ctb, cph] , The Abseil Authors [ctb, cph] , Google Inc. [ctb, cph] ), Kenton Varda [ctb, cph] ), Sanjay Ghemawat [ctb, cph] ), Jeff Dean [ctb, cph] ), Laszlo Csomor [ctb, cph] ), Wink Sav [...truncated...]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between sentencepiece versions 0.2.4 dated 2025-11-27 and 0.2.5 dated 2026-02-09

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Package deepgp updated to version 1.2.1 with previous version 1.2.0 dated 2026-01-08

Title: Bayesian Deep Gaussian Processes using MCMC
Description: Performs Bayesian posterior inference for deep Gaussian processes following Sauer, Gramacy, and Higdon (2023, <doi:10.48550/arXiv.2012.08015>). See Sauer (2023, <http://hdl.handle.net/10919/114845>) for comprehensive methodological details and <https://bitbucket.org/gramacylab/deepgp-ex/> for a variety of coding examples. Models are trained through MCMC including elliptical slice sampling of latent Gaussian layers and Metropolis-Hastings sampling of kernel hyperparameters. Gradient-enhancement and gradient predictions are offered following Booth (2025, <doi:10.48550/arXiv.2512.18066>). Vecchia approximation for faster computation is implemented following Sauer, Cooper, and Gramacy (2023, <doi:10.48550/arXiv.2204.02904>). Optional monotonic warpings are implemented following Barnett et al. (2025, <doi:10.48550/arXiv.2408.01540>). Downstream tasks include sequential design through active learning Cohn/integrated mean squared error (ALC/IMSE; Sauer, G [...truncated...]
Author: Annie S. Booth [aut, cre]
Maintainer: Annie S. Booth <annie_booth@vt.edu>

Diff between deepgp versions 1.2.0 dated 2026-01-08 and 1.2.1 dated 2026-02-09

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New package toonlite with initial version 0.1.0
Package: toonlite
Title: Read, Write, Validate, Stream, and Convert TOON Data
Version: 0.1.0
Description: A minimal-dependency, performance-first R package for reading, writing, validating, streaming, and converting TOON (Token-Oriented Object Notation) data. Optimized for very large tabular files with robust diagnostics. Supports lossless JSON conversion and tabular CSV/Parquet/Feather conversion.
License: MIT + file LICENSE
URL: https://github.com/aljrico/toonlite
BugReports: https://github.com/aljrico/toonlite/issues
Encoding: UTF-8
SystemRequirements: C++17
Suggests: testthat (>= 3.0.0), jsonlite, arrow
NeedsCompilation: yes
Packaged: 2026-02-05 13:47:19 UTC; alejandrojimenezrico
Author: Alejandro Jimenez Rico [aut, cre]
Maintainer: Alejandro Jimenez Rico <aljrico@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-09 13:10:02 UTC

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New package tabbitR with initial version 0.1.3
Package: tabbitR
Title: Weighted Cross-Tabulations Exported to 'Excel'
Version: 0.1.3
Description: Produces weighted cross-tabulation tables for one or more outcome variables across one or more breakdown variables, and exports them directly to 'Excel'. For each outcome-by-breakdown combination, the package creates a weighted percentage table and a corresponding unweighted count table, with transparent handling of missing values and light, readable formatting. Designed to support social survey analysis workflows that require large sets of consistent, publication-ready tables.
Language: en-GB
License: MIT + file LICENSE
Encoding: UTF-8
Imports: haven, openxlsx, stats
URL: https://github.com/smmcandrew/tabbitR
BugReports: https://github.com/smmcandrew/tabbitR/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-05 21:46:01 UTC; siobh
Author: Siobhan McAndrew [aut, cre]
Maintainer: Siobhan McAndrew <siobhan.mcandrew@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-09 13:50:02 UTC

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New package statuser with initial version 0.1.8
Package: statuser
Title: Statistical Tools Designed for End Users
Version: 0.1.8
Description: The statistical tools in this package do one of four things: 1) Enhance basic statistical functions with more flexible inputs, smarter defaults, and richer, clearer, and ready-to-use output (e.g., t.test2()) 2) Produce publication-ready commonly needed figures with one line of code (e.g., plot_cdf()) 3) Implement novel analytical tools developed by the authors (e.g., twolines()) 4) Deliver niche functions of high value to the authors that are not easily available elsewhere (e.g., clear(), convert_to_sql(), resize_images()).
License: GPL-3
Encoding: UTF-8
Imports: mgcv, rsvg, magick, labelled, sandwich, lmtest, utils
Suggests: testthat (>= 3.0.0), crayon, quantreg, estimatr, marginaleffects, broom, modelsummary
NeedsCompilation: no
Packaged: 2026-02-05 12:14:59 UTC; uri_s
Author: Uri Simonsohn [aut, cre]
Maintainer: Uri Simonsohn <urisohn@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-09 13:10:08 UTC

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New package ohvbd with initial version 1.0.0
Package: ohvbd
Title: One Health VBD Hub
Version: 1.0.0
Description: Interface with the One Health VBD (vector-borne disease) Hub <https://vbdhub.org/> and related repositories (VectorByte <https://www.vectorbyte.org>, GBIF <https://www.gbif.org> and AREAdata <https://pearselab.github.io/areadata/>) directly to find, download, and subset vector-borne disease data.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/fwimp/ohvbd, https://ohvbd.vbdhub.org
BugReports: https://github.com/fwimp/ohvbd/issues
Imports: cli (>= 3.0.0), curl (>= 6.4.0), data.table, dplyr, httr2 (>= 1.1.1), lubridate, rlang (>= 1.1.0), stats, stringr, terra, tibble, tidyr, utils
Suggests: knitr, parsermd, rgbif, rmarkdown, rnaturalearth, testthat (>= 3.0.0), vcr, withr
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-02-05 16:10:17 UTC; Francis
Author: Francis Windram [aut, cre, cph]
Maintainer: Francis Windram <francis.windram17@imperial.ac.uk>
Repository: CRAN
Date/Publication: 2026-02-09 13:30:02 UTC

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New package ocrRBBR with initial version 0.1.0
Package: ocrRBBR
Title: Explain Gene Expression with Boolean Rules of Chromatin States
Version: 0.1.0
Description: Infers Boolean rules among cis-regulatory regions using paired chromatin accessibility and gene expression data at bulk and single-cell levels. Links regulatory regions to target genes, providing insights into gene regulation mechanisms.
License: GPL-3
URL: https://github.com/CompBioIPM/ocrRBBR
Depends: R (>= 4.4)
Imports: doParallel, dplyr, foreach, GenomeInfoDb, GenomicRanges, glmnet, Matrix, parallel, rtracklayer, S4Vectors, stats, utils
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2026-02-05 18:55:34 UTC; seyed_000
Author: Seyed Amir Malekpour [aut, cre]
Maintainer: Seyed Amir Malekpour <a.malekpour@ipm.ir>
Repository: CRAN
Date/Publication: 2026-02-09 13:50:07 UTC

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New package mvfmr with initial version 0.1.0
Package: mvfmr
Title: Functional Multivariable Mendelian Randomization
Version: 0.1.0
Description: Implements Multivariable Functional Mendelian Randomization (MV-FMR) to estimate time-varying causal effects of multiple longitudinal exposures on health outcomes. Extends univariable functional Mendelian Randomisation (MR) (Tian et al., 2024 <doi:10.1002/sim.10222>) to the multivariable setting, enabling joint estimation of multiple time-varying exposures with pleiotropy and mediation scenarios. Key features include: (1) data-driven cross-validation for basis component selection, (2) handling of mediation pathways between exposures, (3) support for both continuous and binary outcomes using Generalized Method of Moments (GMM) and control function approaches, (4) one-sample and two-sample MR designs, (5) bootstrap inference and instrument diagnostics including Q-statistics for overidentification testing. Methods are described in Fontana et al. (2025) <doi:10.48550/arXiv.2512.19064>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: fdapace, ggplot2 (>= 3.0.0), parallel, doParallel, foreach, pROC, progress, glmnet, gridExtra, stats
Suggests: dplyr, tidyr, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-05 16:47:13 UTC; nicole.fontana
Author: Nicole Fontana [aut, cre], Francesca Ieva [aut, ths], Piercesare Secchi [aut, ths]
Maintainer: Nicole Fontana <nicole.fontana@polimi.it>
Repository: CRAN
Date/Publication: 2026-02-09 13:30:09 UTC

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New package MaxIntTools with initial version 0.1.0
Package: MaxIntTools
Title: Testing Maximal Interaction in Two-Mode Clustering via a Permutation Based Procedure
Version: 0.1.0
Description: Performs maximal interaction two-mode clustering, permutation tests, scree plots, and interaction visualizations for bicluster analysis. See Ahmed et al. (2025) <doi:10.17605/OSF.IO/AWGXB>, Ahmed et al. (2023) <doi:10.1007/s00357-023-09434-2>, Ahmed et al. (2021) <doi:10.1007/s11634-021-00441-y>.
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, MASS, reshape, pracma
NeedsCompilation: no
Packaged: 2026-02-05 13:49:03 UTC; ahmed
Author: Zaheer Ahmed [aut, cre, cph], Jan Schepers [ctb], Uwe Ligges [ctb], Alberto Cassese [ctb], Gerard van Breukelen [ctb], Katja Ickstadt [ctb], Edmund Wascher [ctb]
Maintainer: Zaheer Ahmed <ahmed@ifado.de>
Repository: CRAN
Date/Publication: 2026-02-09 13:10:21 UTC

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New package lpmec with initial version 1.1.4
Package: lpmec
Title: Measurement Error Analysis and Correction Under Identification Restrictions
Version: 1.1.4
Author: Connor Jerzak [aut, cre], Stephen Jessee [aut]
Description: Implements methods for analyzing latent variable models with measurement error correction, including Item Response Theory (IRT) models. Provides tools for various correction methods such as Bayesian Markov Chain Monte Carlo (MCMC), over-imputation, bootstrapping for robust standard errors, Ordinary Least Squares (OLS), and Instrumental Variables (IV) based approaches. Supports flexible specification of observable indicators and groupings for latent variable analyses in social sciences and other fields. Methods are described in a working paper (2025) <doi:10.48550/arXiv.2507.22218>.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: false
Maintainer: Connor Jerzak <connor.jerzak@gmail.com>
Imports: reticulate, stats, sensemakr, pscl, AER, sandwich, mvtnorm, Amelia, emIRT, gtools
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
SystemRequirements: Python (>= 3.10) with jax, numpy, numpyro (optional; for NumPyro backend via reticulate)
VignetteBuilder: knitr
URL: https://github.com/cjerzak/lpmec-software
BugReports: https://github.com/cjerzak/lpmec-software/issues
NeedsCompilation: no
Packaged: 2026-02-05 17:34:00 UTC; cjerzak
Repository: CRAN
Date/Publication: 2026-02-09 13:30:14 UTC

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New package HaDeX2 with initial version 1.0.0
Package: HaDeX2
Title: Analysis and Visualisation of Hydrogen/Deuterium Exchange Mass Spectrometry Data
Version: 1.0.0
Description: Processing, analysis and visualization of Hydrogen Deuterium eXchange monitored by Mass Spectrometry experiments (HDX-MS). 'HaDeX2' introduces a new standardized and reproducible workflow for the analysis of the HDX-MS data, including uncertainty propagation, data aggregation and visualization on 3D structure. Additionally, it covers data exploration, quality control and generation of publication-quality figures. All functionalities are also available in the accompanying 'shiny' app.
Depends: R (>= 3.5)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: checkmate, data.table, dplyr, ggplot2, glue, gridExtra, magick, purrr, readr, readxl, r3dmol (>= 0.1.2), remotes, stringi, tidyr, ggiraph
Suggests: bookdown, digest, knitr, magrittr, pander, renv, rmarkdown, microbenchmark, testthat, vdiffr, scales, shiny, spelling
VignetteBuilder: knitr
Language: en-US
URL: https://hadexversum.github.io/HaDeX2/
NeedsCompilation: no
Packaged: 2026-02-05 15:05:03 UTC; User
Author: Weronika Puchala [cre, aut] , Michal Burdukiewicz [aut] , Dominik Rafacz [ctb], Krystyna Grzesiak [ctb]
Maintainer: Weronika Puchala <puchala.weronika@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-09 13:30:26 UTC

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Package fmrihrf updated to version 0.2.0 with previous version 0.1.0 dated 2025-09-16

Title: Hemodynamic Response Functions for fMRI Data Analysis
Description: Creates, manipulates, and evaluates hemodynamic response functions and event-related regressors for functional magnetic resonance imaging data analysis. Supports multiple basis sets including Canonical, Gamma, Gaussian, B-spline, and Fourier bases. Features decorators for time-shifting and blocking, and efficient convolution algorithms for regressor construction. Methods are based on standard fMRI analysis techniques as described in Jezzard et al. (2001, ISBN:9780192630711).
Author: Bradley Buchsbaum [aut, cre]
Maintainer: Bradley Buchsbaum <brad.buchsbaum@gmail.com>

Diff between fmrihrf versions 0.1.0 dated 2025-09-16 and 0.2.0 dated 2026-02-09

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Package fabletools updated to version 0.6.0 with previous version 0.5.1 dated 2025-09-01

Title: Core Tools for Packages in the 'fable' Framework
Description: Provides tools, helpers and data structures for developing models and time series functions for 'fable' and extension packages. These tools support a consistent and tidy interface for time series modelling and analysis.
Author: Mitchell O'Hara-Wild [aut, cre] , Rob Hyndman [aut], Earo Wang [aut] , Di Cook [ctb], George Athanasopoulos [ctb], David Holt [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

Diff between fabletools versions 0.5.1 dated 2025-09-01 and 0.6.0 dated 2026-02-09

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Package coreheat readmission to version 0.3.2 with previous version 0.2.2 dated 2021-09-19

Title: Correlation Heatmaps
Description: Create correlation heatmaps from a numeric matrix. Ensembl Gene ID row names can be converted to Gene Symbols using, e.g., BioMart. Optionally, data can be clustered and filtered by correlation, tree cutting and/or number of missing values. Genes of interest can be highlighted in the plot and correlation significance be indicated by asterisks encoding corresponding P-Values. Plot dimensions and label measures are adjusted automatically by default. The plot features rely on the heatmap.n2() function in the 'heatmapFlex' package.
Author: Vidal Fey [aut, cre], Henri Sara [aut]
Maintainer: Vidal Fey <vidal.fey@gmail.com>

This is a re-admission after prior archival of version 0.2.2 dated 2021-09-19

Diff between coreheat versions 0.2.2 dated 2021-09-19 and 0.3.2 dated 2026-02-09

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New package compositional.mle with initial version 1.0.2
Package: compositional.mle
Title: Compositional Maximum Likelihood Estimation
Version: 1.0.2
Description: Provides composable optimization strategies for maximum likelihood estimation (MLE). Solvers are first-class functions that combine via sequential chaining, parallel racing, and random restarts. Implements gradient ascent, Newton-Raphson, quasi-Newton (BFGS), and derivative-free methods with support for constrained optimization and tracing. Returns 'mle' objects compatible with 'algebraic.mle' for downstream analysis. Methods based on Nocedal J, Wright SJ (2006) "Numerical Optimization" <doi:10.1007/978-0-387-40065-5>.
License: MIT + file LICENSE
Encoding: UTF-8
ByteCompile: true
Depends: R (>= 3.5.0), algebraic.mle
Imports: MASS, numDeriv
Suggests: rmarkdown, dplyr, knitr, ggplot2, tibble, testthat (>= 3.0.0), cli, future, hypothesize
URL: https://github.com/queelius/compositional.mle, https://queelius.github.io/compositional.mle/
BugReports: https://github.com/queelius/compositional.mle/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-05 09:31:43 UTC; spinoza
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <queelius@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-09 12:20:02 UTC

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Package nametagger updated to version 0.1.7 with previous version 0.1.6 dated 2026-01-30

Title: Named Entity Recognition in Texts using 'NameTag'
Description: Wraps the 'nametag' library <https://github.com/ufal/nametag>, allowing users to find and extract entities (names, persons, locations, addresses, ...) in raw text and build your own entity recognition models. Based on a maximum entropy Markov model which is described in Strakova J., Straka M. and Hajic J. (2013) <https://ufal.mff.cuni.cz/~straka/papers/2013-tsd_ner.pdf>.
Author: Jan Wijffels [aut, cre, cph] , BNOSAC [cph] , Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic [cph], Milan Straka [ctb, cph] , Jana Strakova [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between nametagger versions 0.1.6 dated 2026-01-30 and 0.1.7 dated 2026-02-09

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Package fpeek updated to version 0.2.0 with previous version 0.1.2 dated 2021-03-31

Title: Check Text Files Content at a Glance
Description: Tools to help text files importation. It can return the number of lines; print the first and last lines; convert encoding; guess delimiters and file encoding. Operations are made without reading the entire file before starting, resulting in good performances with large files. This package provides an alternative to a simple use of the 'head', 'tail', 'wc' and 'iconv' programs that are not always available on machine where R is installed.
Author: David Gohel [aut, cre]
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between fpeek versions 0.1.2 dated 2021-03-31 and 0.2.0 dated 2026-02-09

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New package AUKtest with initial version 0.1.0
Package: AUKtest
Title: Calculate the AUK Estimator
Version: 0.1.0
Description: Computes the Area Under the Kendall (AUK) estimator for multivariate independence. The AUK estimator is based on the survival copula and quantifies the deviation from the null hypothesis of independence. The methodology implemented in this package is based on the work of 'Afendras', 'Markatou', and 'Papantonis' (2025) <doi:10.1016/j.jmva.2025.105589>.
Depends: R (>= 4.0.0)
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-02-05 07:16:49 UTC; nikospapantonis
Author: Nikos Papantonis [aut, cre], Georgios Afendras [aut], Marianthi Markatou [aut]
Maintainer: Nikos Papantonis <feipapantonis@yahoo.gr>
Repository: CRAN
Date/Publication: 2026-02-09 12:00:02 UTC

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Package TUvalues updated to version 1.1.1 with previous version 1.1.0 dated 2025-12-16

Title: Tools for Calculating Allocations in Game Theory using Exact and Approximated Methods
Description: The main objective of cooperative Transferable-Utility games (TU-games) is to allocate a good among the agents involved. The package implements major solution concepts including the Shapley value, Banzhaf value, and egalitarian rules, alongside their extensions for structured games: the Owen value and Banzhaf-Owen value for games with a priori unions, and the Myerson value for communication games on networks. To address the inherent exponential computational complexity of exact evaluation, the package offers both exact algorithms and linear approximation methods based on sampling, enabling the analysis of large-scale games. Additionally, it supports core set-based solutions, allowing computation of the vertices and the centroid of the core.
Author: Maria D. Guillen [cre, aut] , Juan Carlos Goncalves [aut]
Maintainer: Maria D. Guillen <maria.guilleng@umh.es>

Diff between TUvalues versions 1.1.0 dated 2025-12-16 and 1.1.1 dated 2026-02-09

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Package tsibble updated to version 1.2.0 with previous version 1.1.6 dated 2025-01-30

Title: Tidy Temporal Data Frames and Tools
Description: Provides a 'tbl_ts' class (the 'tsibble') for temporal data in an data- and model-oriented format. The 'tsibble' provides tools to easily manipulate and analyse temporal data, such as filling in time gaps and aggregating over calendar periods.
Author: Earo Wang [aut] , Di Cook [aut, ths] , Rob Hyndman [aut, ths] , Mitchell O'Hara-Wild [aut, cre] , Tyler Smith [ctb], Wil Davis [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package gmp updated to version 0.7-5.1 with previous version 0.7-5 dated 2024-08-23

Title: Multiple Precision Arithmetic
Description: Multiple Precision Arithmetic (big integers and rationals, prime number tests, matrix computation), "arithmetic without limitations" using the C library GMP (GNU Multiple Precision Arithmetic).
Author: Antoine Lucas [aut, cre] , Immanuel Scholz [aut], Rainer Boehme [ctb], Sylvain Jasson [ctb], Martin Maechler [ctb]
Maintainer: Antoine Lucas <antoinelucas@gmail.com>

Diff between gmp versions 0.7-5 dated 2024-08-23 and 0.7-5.1 dated 2026-02-09

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Package feasts updated to version 0.5.0 with previous version 0.4.2 dated 2025-08-27

Title: Feature Extraction and Statistics for Time Series
Description: Provides a collection of features, decomposition methods, statistical summaries and graphics functions for the analysing tidy time series data. The package name 'feasts' is an acronym comprising of its key features: Feature Extraction And Statistics for Time Series.
Author: Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut], Earo Wang [aut], Di Cook [ctb], Thiyanga Talagala [ctb] , Leanne Chhay [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package AER updated to version 1.2-16 with previous version 1.2-15 dated 2025-06-18

Title: Applied Econometrics with R
Description: Functions, data sets, examples, demos, and vignettes for the book Christian Kleiber and Achim Zeileis (2008), Applied Econometrics with R, Springer-Verlag, New York. ISBN 978-0-387-77316-2. <doi:10.1007/978-0-387-77318-6> (See the vignette "AER" for a package overview.)
Author: Christian Kleiber [aut] , Achim Zeileis [aut, cre]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package vcdExtra updated to version 0.9.1 with previous version 0.9.0 dated 2026-01-21

Title: 'vcd' Extensions and Additions
Description: Provides additional data sets, methods and documentation to complement the 'vcd' package for Visualizing Categorical Data and the 'gnm' package for Generalized Nonlinear Models. In particular, 'vcdExtra' extends mosaic, assoc and sieve plots from 'vcd' to handle 'glm()' and 'gnm()' models and adds a 3D version in 'mosaic3d'. Additionally, methods are provided for comparing and visualizing lists of 'glm' and 'loglm' objects. This package is now a support package for the book, "Discrete Data Analysis with R" by Michael Friendly and David Meyer.
Author: Michael Friendly [aut, cre] , David Meyer [ctb], Achim Zeileis [ctb] , Duncan Murdoch [ctb], Heather Turner [ctb] , David Firth [ctb], Daniel Sabanes Bove [ctb], Matt Kumar [ctb], Shuguang Sun [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package simstudy updated to version 0.9.2 with previous version 0.9.1 dated 2025-12-16

Title: Simulation of Study Data
Description: Simulates data sets in order to explore modeling techniques or better understand data generating processes. The user specifies a set of relationships between covariates, and generates data based on these specifications. The final data sets can represent data from randomized control trials, repeated measure (longitudinal) designs, and cluster randomized trials. Missingness can be generated using various mechanisms (MCAR, MAR, NMAR).
Author: Keith Goldfeld [aut, cre] , Jacob Wujciak-Jens [aut]
Maintainer: Keith Goldfeld <keith.goldfeld@nyulangone.org>

Diff between simstudy versions 0.9.1 dated 2025-12-16 and 0.9.2 dated 2026-02-09

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Package pumBayes readmission to version 1.0.2 with previous version 1.0.1 dated 2025-10-22

Title: Bayesian Estimation of Probit Unfolding Models for Binary Preference Data
Description: Bayesian estimation and analysis methods for Probit Unfolding Models (PUMs), a novel class of scaling models designed for binary preference data. These models allow for both monotonic and non-monotonic response functions. The package supports Bayesian inference for both static and dynamic PUMs using Markov chain Monte Carlo (MCMC) algorithms with minimal or no tuning. Key functionalities include posterior sampling, hyperparameter selection, data preprocessing, model fit evaluation, and visualization. The methods are particularly suited to analyzing voting data, such as from the U.S. Congress or Supreme Court, but can also be applied in other contexts where non-monotonic responses are expected. For methodological details, see Shi et al. (2025) <doi:10.48550/arXiv.2504.00423>.
Author: Skylar Shi [aut, cre] , Abel Rodriguez [aut] , Rayleigh Lei [aut] , Jonathan Olmsted [cph]
Maintainer: Skylar Shi <dshi98@uw.edu>

This is a re-admission after prior archival of version 1.0.1 dated 2025-10-22

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Package pctax updated to version 0.1.7 with previous version 0.1.3 dated 2024-12-02

Title: Professional Comprehensive Omics Data Analysis
Description: Provides a comprehensive suite of tools for analyzing omics data. It includes functionalities for alpha diversity analysis, beta diversity analysis, differential abundance analysis, community assembly analysis, visualization of phylogenetic tree, and functional enrichment analysis. With a progressive approach, the package offers a range of analysis methods to explore and understand the complex communities. It is designed to support researchers and practitioners in conducting in-depth and professional omics data analysis.
Author: Chen Peng [aut, cre]
Maintainer: Chen Peng <bfzede@gmail.com>

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Package MetaNet updated to version 0.2.8 with previous version 0.2.7 dated 2025-06-26

Title: Network Analysis for Omics Data
Description: Comprehensive network analysis package. Calculate correlation network fastly, accelerate lots of analysis by parallel computing. Support for multi-omics data, search sub-nets fluently. Handle bigger data, more than 10,000 nodes in each omics. Offer various layout method for multi-omics network and some interfaces to other software ('Gephi', 'Cytoscape', 'ggplot2'), easy to visualize. Provide comprehensive topology indexes calculation, including ecological network stability.
Author: Chen Peng [aut, cre]
Maintainer: Chen Peng <bfzede@gmail.com>

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Package ggtime updated to version 0.2.0 with previous version 0.1.0 dated 2025-06-10

Title: Grammar of Graphics and Plot Helpers for Time Series Visualization
Description: Extends the capabilities of 'ggplot2' by providing grammatical elements and plot helpers designed for visualizing temporal patterns. The package implements a grammar of temporal graphics, which leverages calendar structures to highlight changes over time. The package also provides plot helper functions to quickly produce commonly used time series graphics, including time plots, season plots, and seasonal sub-series plots.
Author: Mitchell O'Hara-Wild [aut, cre] , Cynthia A. Huang [aut] , Matthew Kay [aut] , Rob Hyndman [aut] , Earo Wang [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package Familias updated to version 2.6.4 with previous version 2.6.3 dated 2025-05-12

Title: Probabilities for Pedigrees Given DNA Data
Description: An interface to the core 'Familias' functions which are programmed in C++. The implementation is described in Egeland, Mostad and Olaisen (1997) <doi:10.1016/S1355-0306(97)72202-0> and Simonsson and Mostad (2016) <doi:10.1016/j.fsigen.2016.04.005>.
Author: Petter Mostad [aut], Thore Egeland [aut], Franco Marsico [aut, cre], Ivar Simonsson [aut]
Maintainer: Franco Marsico <franco.lmarsico@gmail.com>

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Package pglm updated to version 0.2-4 with previous version 0.2-3 dated 2021-07-19

Title: Panel Generalized Linear Models
Description: Estimation of panel models for glm-like models: this includes binomial models (logit and probit), count models (poisson and negbin) and ordered models (logit and probit), as described in: Baltagi (2013) Econometric Analysis of Panel Data, ISBN-13:978-1-118-67232-7, Hsiao (2014) Analysis of Panel Data <doi:10.1017/CBO9781139839327> and Croissant and Millo (2018), Panel Data Econometrics with R, ISBN:978-1-118-94918-4.
Author: Yves Croissant [aut, cre]
Maintainer: Yves Croissant <yves.croissant@univ-reunion.fr>

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Package mize updated to version 0.2.5 with previous version 0.2.4 dated 2020-08-30

Title: Unconstrained Numerical Optimization Algorithms
Description: Optimization algorithms implemented in R, including conjugate gradient (CG), Broyden-Fletcher-Goldfarb-Shanno (BFGS) and the limited memory BFGS (L-BFGS) methods. Most internal parameters can be set through the call interface. The solvers hold up quite well for higher-dimensional problems.
Author: James Melville [aut, cre]
Maintainer: James Melville <jlmelville@gmail.com>

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Package nanonext updated to version 1.8.0 with previous version 1.7.2 dated 2025-11-03

Title: Lightweight Toolkit for Messaging, Concurrency and the Web
Description: R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. A toolkit for messaging, concurrency and the web. High-performance socket messaging over in-process, IPC, TCP, WebSocket and secure TLS transports implements 'Scalability Protocols', a standard for common communications patterns including publish/subscribe, request/reply and survey. A threaded concurrency framework with intuitive 'aio' objects that resolve automatically upon completion of asynchronous operations, and synchronisation primitives that allow R to wait on events signalled by concurrent threads. A unified HTTP server hosting REST endpoints, WebSocket connections and streaming on a single port, with a built-in HTTP client.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Hibiki AI Limited [cph], R Consortium [fnd]
Maintainer: Charlie Gao <charlie.gao@posit.co>

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Package lattice updated to version 0.22-9 with previous version 0.22-7 dated 2025-04-02

Title: Trellis Graphics for R
Description: A powerful and elegant high-level data visualization system inspired by Trellis graphics, with an emphasis on multivariate data. Lattice is sufficient for typical graphics needs, and is also flexible enough to handle most nonstandard requirements. See ?Lattice for an introduction.
Author: Deepayan Sarkar [aut, cre] , Felix Andrews [ctb], Kevin Wright [ctb] , Neil Klepeis [ctb], Johan Larsson [ctb] , Zhijian Wen [cph] , Paul Murrell [ctb], Stefan Eng [ctb] , Achim Zeileis [ctb] , Alexandre Courtiol [ctb]
Maintainer: Deepayan Sarkar <deepayan.sarkar@r-project.org>

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Package ivreg updated to version 0.6-6 with previous version 0.6-5 dated 2025-01-19

Title: Instrumental-Variables Regression by '2SLS', '2SM', or '2SMM', with Diagnostics
Description: Instrumental variable estimation for linear models by two-stage least-squares (2SLS) regression or by robust-regression via M-estimation (2SM) or MM-estimation (2SMM). The main ivreg() model-fitting function is designed to provide a workflow as similar as possible to standard lm() regression. A wide range of methods is provided for fitted ivreg model objects, including extensive functionality for computing and graphing regression diagnostics in addition to other standard model tools.
Author: John Fox [aut] , Christian Kleiber [aut] , Achim Zeileis [aut, cre] , Nikolas Kuschnig [ctb] , R Core Team [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package gdverse updated to version 1.6 with previous version 1.5.1 dated 2025-10-15

Title: Analysis of Spatial Stratified Heterogeneity
Description: Detecting spatial associations via spatial stratified heterogeneity, accounting for spatial dependencies, interpretability, complex interactions, and robust stratification. In addition, it supports the spatial stratified heterogeneity family described in Lv et al. (2025)<doi:10.1111/tgis.70032>.
Author: Wenbo Lv [aut, cre, cph] , Yangyang Lei [aut] , Fangmei Liu [aut] , Jianwu Yan [aut] , Yongze Song [aut] , Wufan Zhao [aut]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

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Package gdtools updated to version 0.5.0 with previous version 0.4.4 dated 2025-10-06

Title: Font Metrics and Font Management Utilities for R Graphics
Description: Compute text metrics (width, ascent, descent) using 'Cairo' and 'FreeType', independently of the active graphic device. Font lookup is delegated to 'systemfonts'. Additional utilities let users register 'Google Fonts' or bundled 'Liberation' fonts, check font availability, and assemble 'htmlDependency' objects so that fonts are correctly embedded in 'Shiny' applications, 'R Markdown' documents, and 'htmlwidgets' outputs such as 'ggiraph'.
Author: David Gohel [aut, cre], Hadley Wickham [aut], Lionel Henry [aut], Jeroen Ooms [aut] , Yixuan Qiu [ctb], R Core Team [cph] , ArData [cph], RStudio [cph]
Maintainer: David Gohel <david.gohel@ardata.fr>

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More information about gdtools at CRAN
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Package eam updated to version 1.1.0 with previous version 1.0.1 dated 2026-01-17

Title: Evidence Accumulation Models
Description: Simulation-based evidence accumulation models for analyzing responses and reaction times in single- and multi-response tasks. The package includes simulation engines for five representative models: the Diffusion Decision Model (DDM), Leaky Competing Accumulator (LCA), Linear Ballistic Accumulator (LBA), Racing Diffusion Model (RDM), and Levy Flight Model (LFM), and extends these frameworks to multi-response settings. The package supports user-defined functions for item-level parameterization and the incorporation of covariates, enabling flexible customization and the development of new model variants based on existing architectures. Inference is performed using simulation-based methods, including Approximate Bayesian Computation (ABC) and Amortized Bayesian Inference (ABI), which allow parameter estimation without requiring tractable likelihood functions. In addition to core inference tools, the package provides modules for parameter recovery, posterior predictive checks, and model com [...truncated...]
Author: Guangyu Zhu [aut] , Guang Yang [aut, cre]
Maintainer: Guang Yang <guang.spike.yang@gmail.com>

Diff between eam versions 1.0.1 dated 2026-01-17 and 1.1.0 dated 2026-02-09

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 15 files changed, 94 insertions(+), 39 deletions(-)

More information about eam at CRAN
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