CRANberries

Thu, 05 Mar 2026

New package wkpool with initial version 0.3.0
Package: wkpool
Title: Vertex Pool Topology for Well-Known Geometry
Version: 0.3.0
Description: Establishes and maintains vertex pool topology for geometry handled by 'wk'. Segments are the atomic unit, vertices are shared via integer references into a pool. Topology is made discoverable via coincident vertex detection while not requiring modification of the input data. Topological data models follow principles described in Worboys and Duckham (2004, ISBN:978-0415283755). The edge-based topology geometry decomposed into vertices and directed edge pairs is a simplification of the quad-edge case in Guibas & Stolfi (1985) <doi:10.1145/282918.282923>.
License: MIT + file LICENSE
URL: https://github.com/hypertidy/wkpool
BugReports: https://github.com/hypertidy/wkpool/issues
Encoding: UTF-8
Imports: vctrs, wk (>= 0.9.4)
Suggests: knitr, rmarkdown, RTriangle, spelling, testthat (>= 3.0.0), traipse
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2026-02-28 23:10:02 UTC; mdsumner
Author: Michael Sumner [aut, cre]
Maintainer: Michael Sumner <mdsumner@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-05 19:10:02 UTC

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New package rdkitpyr with initial version 0.2.1
Package: rdkitpyr
Title: Task-Oriented Cheminformatics in R Using 'RDKit' via 'Python'
Version: 0.2.1
Description: A task-oriented R interface to the 'RDKit' <https://www.rdkit.org> library through its 'Python' API via 'reticulate'. The package offers high-level cheminformatics functionality, including molecule parsing, descriptor calculation, and fingerprint generation without replicating the native structure of 'RDKit'.
License: MIT + file LICENSE
URL: https://mass-spec.ru/projects/cheminformatics/rdkitpyr/eng/
BugReports: https://github.com/AndreySamokhin/rdkitpyr/issues
Depends: R (>= 3.5.0)
Imports: reticulate, utils
Suggests: testthat (>= 3.0.0)
SystemRequirements: Python, NumPy, RDKit (Python)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-01 10:22:58 UTC; Andrey
Author: Andrey Samokhin [aut, cre, cph]
Maintainer: Andrey Samokhin <andrey.s.samokhin@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-05 19:30:02 UTC

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New package llamaR with initial version 0.2.2
Package: llamaR
Title: Interface for Large Language Models via 'llama.cpp'
Version: 0.2.2
Description: Provides 'R' bindings to 'llama.cpp' for running Large Language Models ('LLMs') locally with optional 'Vulkan' GPU acceleration via 'ggmlR'. Supports model loading, text generation, 'tokenization', token-to-piece conversion, 'embeddings' (single and batch), encoder-decoder inference, low-level batch management, chat templates, 'LoRA' adapters, explicit backend/device selection, multi-GPU split, and 'NUMA' optimization. Includes a high-level 'ragnar'-compatible embedding provider ('embed_llamar'). Built on top of 'ggmlR' for efficient tensor operations.
License: MIT + file LICENSE
URL: https://github.com/Zabis13/llamaR
BugReports: https://github.com/Zabis13/llamaR/issues
Encoding: UTF-8
Depends: R (>= 4.1.0), ggmlR
LinkingTo: ggmlR
SystemRequirements: C++17, GNU make
Imports: jsonlite, utils
Suggests: testthat (>= 3.0.0), withr
NeedsCompilation: yes
Packaged: 2026-03-01 07:30:11 UTC; yuri
Author: Yuri Baramykov [aut, cre], Georgi Gerganov [cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>
Repository: CRAN
Date/Publication: 2026-03-05 19:20:02 UTC

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New package fdars with initial version 0.3.3
Package: fdars
Title: Functional Data Analysis in 'Rust'
Version: 0.3.3
Description: Functional data analysis tools with a high-performance 'Rust' backend. Provides methods for functional data manipulation, depth computation, distance metrics, regression, and statistical testing. Supports both 1D functional data (curves) and 2D functional data (surfaces). Methods are described in Ramsay and Silverman (2005, ISBN:978-0-387-40080-8) "Functional Data Analysis" and Ferraty and Vieu (2006, ISBN:978-0-387-30369-7) "Nonparametric Functional Data Analysis".
License: MIT + file LICENSE
URL: https://sipemu.github.io/fdars-r/, https://github.com/sipemu/fdars-r
BugReports: https://github.com/sipemu/fdars-r/issues
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc
Imports: methods, ggplot2
Suggests: testthat (>= 3.0.0), fda.usc, fda, knitr, rmarkdown, dplyr, tidyr, ggforce, gridExtra, patchwork
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-03-01 19:31:29 UTC; simonm
Author: Simon Mueller [aut, cre]
Maintainer: Simon Mueller <simon.mueller@muon-stat.com>
Repository: CRAN
Date/Publication: 2026-03-05 19:40:08 UTC

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New package checkstring with initial version 0.1.0
Package: checkstring
Title: Common String Format Validation
Version: 0.1.0
Description: Validates common string formats including financial identifiers (ISIN, CUSIP, SEDOL, FIGI, IBAN, LEI), publication identifiers (ISBN, ISSN, DOI, ORCID), and general formats (email, UUID, URL, semver), with check digit verification where applicable.
License: MIT + file LICENSE
URL: https://m-muecke.github.io/checkstring/, https://github.com/m-muecke/checkstring
BugReports: https://github.com/m-muecke/checkstring/issues
Depends: R (>= 4.1.0)
Suggests: curl, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-01 12:13:22 UTC; mmuecke
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-05 19:30:08 UTC

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New package APCinteraction with initial version 0.1.0
Package: APCinteraction
Title: Nonparametric Interaction Tests in Balanced Two-Way ANOVA Models
Version: 0.1.0
Description: Provides novel nonparametric tests, 'APCSSA' and 'APCSSM', for interaction in two-way ANOVA designs with balanced replications using all possible comparisons. These statistics extend previous methods, allow greater flexibility, and demonstrate higher power in detecting interactions for non-normal data. The package includes optimized functions for computing these test statistics, generating interaction plots, and simulating their null distributions. The companion package 'APCinteractionData' is available on 'GitHub' <https://github.com/tranbaokhue/APCinteractionData>. Methods are described and compared empirically in Tran, Wagaman, Nguyen, Jacobson, and Hartlaub (2024) <doi:10.48550/arXiv.2410.04700>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/tranbaokhue/APCinteraction
BugReports: https://github.com/tranbaokhue/APCinteraction/issues
Depends: R (>= 4.0.0)
Imports: magrittr, dplyr, parallel, pbapply, rlang
Suggests: APCinteractionData, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-02 01:56:29 UTC; khuetran
Author: Bao Khue Tran [aut, cre], Andrew Nguyen [aut, ctb], Amy Wagaman [ctb], Bradley Hartlaub [ctb]
Maintainer: Bao Khue Tran <baokhuetran@outlook.com>
Repository: CRAN
Date/Publication: 2026-03-05 19:40:24 UTC

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New package TriLLIEM with initial version 0.1.0
Package: TriLLIEM
Title: Log-Linear Modelling of Triad Genotype Data
Version: 0.1.0
Description: Triad Log-Linear modelling of Imprinting Environmental interactions, and Maternal effects (TriLLIEM). This is an implementation of the log-linear model described in a series of papers, see for example Ainsworth et al. (2010) <doi:10.1002/gepi.20547>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, rlang, Rdpack
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
URL: https://github.com/KevinHZhao/TriLLIEM
BugReports: https://github.com/KevinHZhao/TriLLIEM/issues
NeedsCompilation: no
Packaged: 2026-02-28 22:02:18 UTC; kevin
Author: Kevin Heda Zhao [aut, cre], Kelly Burkett [aut]
Maintainer: Kevin Heda Zhao <trilliemmaintainer@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-05 10:40:13 UTC

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New package scPairs with initial version 0.1.8
Package: scPairs
Version: 0.1.8
Title: Identifying Synergistic Gene Pairs in Single-Cell and Spatial Transcriptomics
Description: Discovers synergistic gene pairs in single-cell RNA-seq and spatial transcriptomics data. Unlike conventional pairwise co-expression analyses that rely on a single correlation metric, scPairs integrates 14 complementary metrics across five orthogonal evidence layers to compute a composite synergy score with optional permutation-based significance testing. The five evidence layers span cell-level co-expression (Pearson, Spearman, biweight midcorrelation, mutual information, ratio consistency), neighbourhood-aware smoothing (KNN-smoothed correlation, neighbourhood co-expression, cluster pseudo-bulk, cross-cell-type, neighbourhood synergy), prior biological knowledge (GO/KEGG co-annotation Jaccard, pathway bridge score), trans-cellular interaction, and spatial co-variation (Lee's L, co-location quotient). This multi-scale design enables researchers to move beyond simple co-expression towards a comprehensive characterisation of cooperative gene regulation at transcriptomic and spatial reso [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/zhaoqing-wang/scPairs
BugReports: https://github.com/zhaoqing-wang/scPairs/issues
Depends: R (>= 4.1.0)
Imports: data.table, ggplot2, ggraph, ggrepel, igraph, methods, Matrix, patchwork, Seurat (>= 4.0), SeuratObject, stats, tidygraph, tidyr
Suggests: AnnotationDbi, org.Mm.eg.db, org.Hs.eg.db, crayon, ggExtra, RANN, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
Date: 2026-02-28
NeedsCompilation: no
Packaged: 2026-02-28 10:16:08 UTC; Runaw
Author: Zhaoqing Wang [aut, cre]
Maintainer: Zhaoqing Wang <zhaoqingwang@mail.sdu.edu.cn>
Repository: CRAN
Date/Publication: 2026-03-05 10:30:02 UTC

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New package RSQLite.toolkit with initial version 0.1.1
Package: RSQLite.toolkit
Title: Load Data in SQLite from Tabular Files
Version: 0.1.1
Description: A lightweight wrapper around the 'RSQLite' package for streamlined loading of data from tabular files (i,e. text delimited files like Comma Separated Values and Tab Separated Values, Microsoft Excel, and Arrow Inter-process Communication files) in 'SQLite' databases. Includes helper functions for inspecting the structure of the input files, and some functions to simplify activities on the 'SQLite' tables.
License: GPL (>= 3)
Depends: R (>= 4.2.0), RSQLite (>= 2.3.0)
Imports: DBI, openxlsx2, arrow
Encoding: UTF-8
URL: https://github.com/fab-algo/RSQLite.toolkit, https://fab-algo.github.io/RSQLite.toolkit/
BugReports: https://github.com/fab-algo/RSQLite.toolkit/issues
Suggests: knitr, rmarkdown, piggyback
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-28 17:00:07 UTC; ludo
Author: Ludovico G. Beretta [aut, cre, cph]
Maintainer: Ludovico G. Beretta <ludovicogiovanni.beretta@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-05 10:30:16 UTC

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New package reliacoef with initial version 1.0.1
Package: reliacoef
Title: Unidimensional and Multidimensional Reliability Coefficients
Version: 1.0.1
Description: Calculates and compares various reliability coefficients for unidimensional and multidimensional scales. Supported unidimensional estimators include coefficient alpha, congeneric reliability, the Gilmer-Feldt coefficient, Feldt's classical congeneric reliability, Hancock's H, Heise-Bohrnstedt's omega, Kaiser-Caffrey's alpha, and Ten Berge and Zegers' mu series. Multidimensional estimators include stratified alpha, maximal reliability, correlated factors reliability, second-order factor reliability, and bifactor reliability. See Cho (2021) <doi:10.1007/s11336-021-09801-1>, Cho (2024) <doi:10.1037/met0000475>, Cho (2025) <doi:10.1037/met0000525>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: lavaan, psych, matrixcalc, stats
Suggests: knitr, rmarkdown, Rcsdp, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-28 03:01:28 UTC; bene
Author: Eunseong Cho [aut, cre]
Maintainer: Eunseong Cho <bene@kw.ac.kr>
Repository: CRAN
Date/Publication: 2026-03-05 10:30:10 UTC

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New package epiviz with initial version 0.1.2
Package: epiviz
Title: Data Visualisation Functions for Epidemiological Data Science Products
Version: 0.1.2
Description: Tools for making epidemiological reporting easier with consistent static and dynamic charts and maps. Builds on 'ggplot2' for static visualizations as described in Wickham (2016) <doi:10.1007/978-3-319-24277-4> and 'plotly' for interactive visualizations as described in Sievert (2020) <doi:10.1201/9780429447273>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Suggests: testthat (>= 3.0.0), mockery, withr, yarrr, knitr, rmarkdown, shiny
Imports: grDevices, assertthat, classInt, dplyr, ggplot2, RColorBrewer, plotly, sf, leaflet, htmltools, stringr, scales, tidyr, lubridate, ISOweek, forcats, slider, rlang, ellmer, jsonlite, lifecycle
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
URL: https://github.com/ukhsa-collaboration/epiviz
BugReports: https://github.com/ukhsa-collaboration/epiviz/issues
NeedsCompilation: no
Packaged: 2026-02-28 18:35:19 UTC; Harshana.Liyanage
Author: Harshana Liyanage [aut, cre] , James Duke [aut], Alex Bhattacharya [aut] , Liam Fitzpatrick [aut], James Leatherland [aut], Jordan Worth [aut], Emma Parker [aut], Jade Talbot [ctb] , Karen Crawford [ctb], Frederick Sloots [ctb], Charlie Turner [ctb]
Maintainer: Harshana Liyanage <harshana.liyanage@ukhsa.gov.uk>
Repository: CRAN
Date/Publication: 2026-03-05 10:40:02 UTC

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New package AV1R with initial version 0.1.2
Package: AV1R
Title: 'AV1' Video Encoding for Biological Microscopy Data
Version: 0.1.2
Description: Converts legacy microscopy video formats (H.264/H.265, AVI/MJPEG, TIFF stacks) to the modern 'AV1' codec with minimal quality loss. Typical use cases include compressing large TIFF stacks from confocal microscopy and time-lapse experiments from hundreds of gigabytes to manageable sizes, re-encoding MP4 files exported from 'CellProfiler', 'ImageJ'/'Fiji', and microscope software with approximately 2x better compression at the same visual quality, and converting legacy AVI (MJPEG) and H.265 recordings to a single patent-free format suited for long-term archival. Automatically selects the best available backend: GPU hardware acceleration via 'Vulkan' 'VK_KHR_VIDEO_ENCODE_AV1' (tested on AMD RDNA4; bundled headers, builds with any 'Vulkan' SDK >= 1.3.275), with automatic fallback to CPU encoding through 'FFmpeg' and 'SVT-AV1'. Audio tracks are preserved automatically. Provides a simple R API for batch conversion of entire experiment folders.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
URL: https://github.com/Zabis13/AV1R
BugReports: https://github.com/Zabis13/AV1R/issues
Encoding: UTF-8
SystemRequirements: C++17, GNU make, FFmpeg (>= 4.4) with libavcodec/libavformat, libvulkan-dev (optional, for GPU encoding on Linux), Vulkan SDK (optional, for GPU encoding on Windows)
Suggests: magick, testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-02-28 21:42:21 UTC; yuri
Author: Yuri Baramykov [aut, cre]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>
Repository: CRAN
Date/Publication: 2026-03-05 10:40:18 UTC

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Wed, 04 Mar 2026

New package rict with initial version 0.0.1
Package: rict
Title: Redistricting in Clean Tables
Version: 0.0.1
Description: Provides a suite of tools to create tables that accompany maps. The tools create clean, informative tables for electoral outcomes, compactness, and other district-level quantities. Most tools are aimed at the redistricting context, but are broadly applicable to other electoral data.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, dplyr, geomander, geos, ggplot2, gt, purrr, redist, redistmetrics, rlang, sf, stringr, tibble
Depends: R (>= 4.1.0)
LazyData: true
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: http://christophertkenny.com/rict/, https://github.com/christopherkenny/rict
BugReports: https://github.com/christopherkenny/rict/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-02-27 16:43:09 UTC; chris
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>
Repository: CRAN
Date/Publication: 2026-03-04 10:20:02 UTC

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New package methFuse with initial version 1.1.0
Package: methFuse
Title: Functional Segmentation of the Methylome
Version: 1.1.0
Description: Implements FUSE (Functional Segmentation of DNA methylation data), a data-driven method for identifying spatially coherent DNA methylation segments from whole-genome bisulfite sequencing (WGBS) count data. The method performs hierarchical clustering of CpG sites based on methylated and unmethylated read counts across multiple samples and determines the optimal number of segments using an information criterion (AIC or BIC). Resulting segments represent regions with homogeneous methylation profiles across the input cohort while allowing sample-specific methylation levels. The package provides functions for clustering, model selection, tree cutting, segment-level summarization, and visualization. Input can be supplied as count matrices or extracted directly from 'BSseq' and 'methrix' objects.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, methods
Suggests: bsseq, methrix, beachmat, GenomicRanges, SummarizedExperiment, DelayedArray, testthat (>= 3.0.0), knitr, rmarkdown, graphics
VignetteBuilder: knitr
URL: https://holmsusa.github.io/methFuse/
NeedsCompilation: yes
Packaged: 2026-02-27 14:39:28 UTC; holmsusa
Author: Susanna Holmstroem [aut, cre] , Antti Hakkinen [ctb, cph]
Maintainer: Susanna Holmstroem <susanna.k.holmstrom@helsinki.fi>
Repository: CRAN
Date/Publication: 2026-03-04 10:10:02 UTC

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New package htmxr with initial version 0.1.1
Package: htmxr
Title: Build Modern Web Applications with 'htmx' and 'plumber2'
Version: 0.1.1
Description: A lightweight framework for building server-driven web applications in 'R'. 'htmxr' combines the simplicity of 'htmx' for partial page updates with the power of 'plumber2' for non-blocking HTTP endpoints. Build interactive dashboards and data applications without writing 'JavaScript', using familiar 'R' patterns inspired by 'Shiny'. For more information on 'htmx', see <https://htmx.org>.
License: MIT + file LICENSE
URL: https://hyperverse-r.github.io/htmxr/, https://github.com/hyperverse-r/htmxr
BugReports: https://github.com/hyperverse-r/htmxr/issues
Depends: R (>= 4.1.0)
Imports: htmltools, plumber2
Suggests: dplyr, ggplot2, knitr, pak, purrr, rmarkdown, svglite, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-02-27 22:53:44 UTC; arthur
Author: Arthur Breant [aut, cre]
Maintainer: Arthur Breant <arthur@thinkr.fr>
Repository: CRAN
Date/Publication: 2026-03-04 10:30:02 UTC

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New package colourspace with initial version 0.0.1
Package: colourspace
Title: Convert from One Colour Space to Another, Print a Ready-to-Paste Modern 'CSS' Syntax
Version: 0.0.1
Description: Provides a comprehensive 'API' for colour conversion between popular colour spaces ('RGB', 'HSL', 'OKLab', 'OKLch', 'hex', and named colours) along with clean, modern 'CSS' Color Level 4 syntax output. Integrates seamlessly into 'Shiny' and 'Quarto' workflows. Includes nearest colour name lookup powered by a curated database of over 30,000 colour names. 'OKLab'/'OKLCh' colour spaces are described in Ottosson (2020) <https://bottosson.github.io/posts/oklab/>. 'CSS' Color Level 4 syntax follows the W3C specification <https://www.w3.org/TR/css-color-4/>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
Imports: farver, RANN
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-18 20:52:36 UTC; 97253
Author: Yann Cohen [aut, cre]
Maintainer: Yann Cohen <yannco5@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-04 10:20:13 UTC

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New package actuary with initial version 0.1.2
Package: actuary
Title: Actuarial Functions and Utilities
Version: 0.1.2
Description: Provides actuarial modeling tools for Monte Carlo loss simulations, loss reserving, and reinsurance layer loss calculations. It enables users to generate stochastic loss datasets with customisable frequency and severity distributions, fit development patterns to claim triangles, and calculate reinsurance losses for occurrence and aggregate layers with user-defined retentions, limits, and reinstatements. For development pattern selection, the package includes a machine learning approach that evaluates multiple reserving models using holdout validation to identify the best-fitting pattern based on predictive accuracy, this is based on the algorithm described in Richman, R and Balona, C (2020)<https://www.ssrn.com/abstract=3697256>.
License: MIT + file LICENSE
BugReports: https://github.com/andrewwilson201/actuary/issues
Depends: R (>= 4.1.0)
Imports: dplyr, dtplyr, forcats, furrr, future, gamlss.dist, ggplot2, ggtext, grDevices, MASS, pracma, progress, purrr, rlang, scales, stats, tidyr, yardstick
Suggests: spelling
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2026-02-27 20:55:18 UTC; andre
Author: Andrew Wilson [aut, cre, cph]
Maintainer: Andrew Wilson <andrewm.wilson@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-04 10:30:07 UTC

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New package metabook with initial version 0.1-0
Package: metabook
Title: Data Sets and Code for Meta-Analysis with R
Version: 0.1-0
Date: 2026-02-26
Depends: R (>= 4.0.0)
Imports: meta (>= 8.2-1), netmeta (>= 3.3-1), metasens (>= 1.5-3)
Author: Guido Schwarzer [cre, aut]
Maintainer: Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de>
URL: https://github.com/guido-s/metabook/
Description: Data sets and code supporting the second edition of Schwarzer, Carpenter, and Rücker <DOI:10.1007/978-3-319-21416-0>, "Meta-Analysis with R".
LazyData: TRUE
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-02-26 15:36:00 UTC; sc
Repository: CRAN
Date/Publication: 2026-03-04 09:40:02 UTC

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New package imaginarycss with initial version 0.1.0
Package: imaginarycss
Version: 0.1.0
Title: Tools for Studying Imaginary Cognitive Social Structure
Description: Provides functions to measure and test imaginary cognitive social structure (CSS) motifs, which are patterns of perceived relationships among individuals in a social network. Includes tools for calculating motif frequencies, comparing observed motifs to expected distributions, and visualizing motif structures. Implements methods described in Tanaka and Vega Yon (2023) <doi:10.1016/j.socnet.2023.11.005>.
URL: https://gvegayon.github.io/imaginary-structures/
BugReports: https://github.com/gvegayon/imaginary-structures/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, barry
Imports: graphics, Rcpp, stats
Suggests: knitr, rmarkdown, tinytest, quarto
Depends: R (>= 4.0.0)
VignetteBuilder: quarto
NeedsCompilation: yes
Packaged: 2026-02-26 22:35:59 UTC; u1418987
Author: Sima Najafzadehkhoei [aut, cre] , George Vega Yon [aut] , Kyosuke Tanaka [aut]
Maintainer: Sima Najafzadehkhoei <sima.njf@utah.edu>
Repository: CRAN
Date/Publication: 2026-03-04 09:50:02 UTC

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New package ExpressionCellNet with initial version 0.1.1
Package: ExpressionCellNet
Title: Network-Based Analysis of Gene Expression Perturbations
Version: 0.1.1
Description: Network-centric framework for integrative analysis of high-throughput gene expression data using user-supplied gene-gene interaction graphs. Constructs seed-centered multi-generation networks constrained by expression correlations and simulates expression perturbation scenarios via regression-based prediction (van Dam, 2018).
URL: https://doi.org/10.1093/bib/bbw139
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: igraph, ggplot2, uwot, Metrics, crayon
NeedsCompilation: no
Packaged: 2026-02-27 09:09:17 UTC; Ehsan
Author: Ehsan Keramati [aut, cre]
Maintainer: Ehsan Keramati <ehsan.keramati14@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-04 09:50:13 UTC

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New package copulaSQM with initial version 0.1.0
Package: copulaSQM
Title: Copula Based Stochastic Frontier Quantile Model
Version: 0.1.0
Maintainer: Woraphon Yamaka <woraphon.econ@gmail.com>
Description: Provides estimation procedures for copula-based stochastic frontier quantile models for cross-sectional data. The package implements maximum likelihood estimation of quantile regression models allowing flexible dependence structures between error components through various copula families (e.g., Gaussian and Student-t). It enables estimation of conditional quantile effects, dependence parameters, log-likelihood values, and information criteria (AIC and BIC). The framework combines quantile regression methodology introduced by Koenker and Bassett (1978) <doi:10.2307/1913643> with copula theory described in Joe (2014, ISBN:9781466583221). This approach allows modeling heterogeneous effects across quantiles while capturing nonlinear dependence structures between variables.
License: GPL-3
Encoding: UTF-8
Imports: ald, VineCopula, stats, graphics, MASS
NeedsCompilation: no
Packaged: 2026-02-27 07:39:33 UTC; Acer
Author: Woraphon Yamaka [aut, cre], Paravee Maneejuk [aut], Nuttaphong Kaewtathip [aut]
Repository: CRAN
Date/Publication: 2026-03-04 09:50:08 UTC

More information about copulaSQM at CRAN
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Tue, 03 Mar 2026

New package unicefData with initial version 2.3.0
Package: unicefData
Title: Download Indicators from UNICEF Data Warehouse
Version: 2.3.0
Description: An R client to fetch SDMX (Statistical Data and Metadata eXchange) CSV series from the UNICEF Data Warehouse <https://data.unicef.org/>. Part of a trilingual suite also available for 'Python' and 'Stata'. Features include automatic pagination, caching with memoisation, country name lookups, metadata versioning (vintages), and comprehensive indicator support for SDG (Sustainable Development Goals) monitoring.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr, readr, dplyr, tibble, xml2, memoise, countrycode, yaml, tools, jsonlite, magrittr, purrr, rlang, digest, tidyr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/unicef-drp/unicefData, https://jpazvd.github.io/
BugReports: https://github.com/unicef-drp/unicefData/issues
NeedsCompilation: no
Packaged: 2026-02-25 02:33:03 UTC; jpazevedo
Author: Joao Pedro Azevedo [aut, cre], Lucas Rodrigues [ctb], Yang Liu [ctb], Karen Avanesian [ctb]
Maintainer: Joao Pedro Azevedo <jpazevedo@unicef.org>
Repository: CRAN
Date/Publication: 2026-03-03 21:20:08 UTC

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New package robust.prioritizr with initial version 1.0.2
Package: robust.prioritizr
Title: Robust Systematic Conservation Prioritization
Version: 1.0.2
Description: Systematic conservation prioritization with robust optimization techniques. This is important because conservation prioritizations typically only consider the most likely outcome associated with a conservation action (e.g., establishing a protected area will safeguard a threatened species population) and fail to consider other outcomes and their consequences for meeting conservation objectives. By extending the 'prioritizr' package, this package can be used to generate conservation prioritizations that account of uncertainty in the climate change scenario projections, species distribution models, ecosystem service models, and measurement errors. In particular, prioritizations can be generated to be fully robust to uncertainty by minimizing (or maximizing) objectives under the worst possible outcome. Since reducing the associated with achieving conservation objectives may sacrifice other objectives (e.g., minimizing protected area implementation costs), prioritizations can also be gener [...truncated...]
Encoding: UTF-8
License: GPL (>= 3)
Language: en-US
URL: https://github.com/frankiecho/robust.prioritizr, https://frankiecho.github.io/robust.prioritizr/
BugReports: https://github.com/frankiecho/robust.prioritizr/issues
VignetteBuilder: knitr
Imports: utils, parallel, Rcpp (>= 1.0.7), R6 (>= 2.5.1), rlang (>= 1.1.0), cli (>= 3.6.0), assertthat (>= 0.2.0), terra (>= 1.8.54), sf (>= 1.0-12), tibble (>= 2.0.0), units (>= 0.8.7), prioritizr (>= 8.1.0)
Suggests: testthat (>= 3.1.0), knitr (>= 1.50), rmarkdown (>= 2.29), highs (>= 1.10.0-3)
Depends: R (>= 4.1.0)
LinkingTo: Rcpp (>= 1.0.7), RcppArmadillo (>= 0.10.7.3.0)
NeedsCompilation: yes
Packaged: 2026-02-26 02:16:57 UTC; fcho0021
Author: Frankie Cho [aut, cre, cph] , Jeffrey O Hanson [aut]
Maintainer: Frankie Cho <frankie.cho@monash.edu>
Repository: CRAN
Date/Publication: 2026-03-03 21:30:02 UTC

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New package RChASM with initial version 1.0.0
Package: RChASM
Title: Detection of Chromosomal Aneuploidies in Ancient DNA Studies
Version: 1.0.0
Description: An R implementation of ChASM (Chromosomal Aneuploidy Screening Methodology): a statistically rigorous Bayesian approach for screening data sets for autosomal and sex chromosomal aneuploidies. This package takes as input the number of (deduplicated) reads mapping to chromosomes 1-22 and the X and Y chromosomes, and models these using a Dirichlet-multinomial distribution. From this, This package returns posterior probabilities of sex chromosomal karyotypes (XX, XY, XXY, XYY, XXX and X) and full autosomal aneuploidies (trisomy 13, trisomy 18 and trisomy 21). This package also returns two diagnostic statistics: (i) a posterior probability addressing whether contamination between XX and XY may explain the observed sex chromosomal aneuploidy, and (ii) a chi-squared statistic measuring whether the observed read counts are too divergent from the underlying distribution (and may represent abnormal sequencing/quality issues).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: checkmate, cowplot, dplyr, EnvStats, ggplot2, ggrepel, ggsci, ggstar, magrittr, matrixStats, mclust, rstatix, sirt, stringr, tibble, tidyr, readr
LazyData: true
Suggests: knitr, rmarkdown, extraDistr
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
URL: https://jonotuke.github.io/RChASM/
NeedsCompilation: no
Packaged: 2026-02-26 00:12:52 UTC; jonathantuke
Author: Adam B. Rohrlach [aut, cph] , Jono Tuke [aut, cre] , Wolfgang Haak [aut]
Maintainer: Jono Tuke <simon.tuke@adelaide.edu.au>
Repository: CRAN
Date/Publication: 2026-03-03 21:20:42 UTC

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New package r4subtrace with initial version 0.1.0
Package: r4subtrace
Title: Traceability Engine for Clinical Submission Readiness
Version: 0.1.0
Description: Quantifies and explains end-to-end traceability between clinical submission artifacts (ADaM (Analysis Data Model) outputs, derivations, SDTM (Study Data Tabulation Model) sources, specs, code). Builds trace models from metadata and mapping sheets, computes trace levels, and emits standardized R4SUB (R for Regulatory Submission) evidence table rows via 'r4subcore'.
License: MIT + file LICENSE
URL: https://github.com/R4SUB/r4subtrace
BugReports: https://github.com/R4SUB/r4subtrace/issues
Depends: R (>= 4.2)
Imports: cli, dplyr, r4subcore, rlang, stringr, tibble
Suggests: igraph, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-02-25 15:09:03 UTC; aeroe
Author: Pawan Rama Mali [aut, cre, cph]
Maintainer: Pawan Rama Mali <prm@outlook.in>
Repository: CRAN
Date/Publication: 2026-03-03 21:20:16 UTC

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New package r4subscore with initial version 0.1.0
Package: r4subscore
Title: Submission Confidence Index Engine
Version: 0.1.0
Description: Converts standardized R4SUB (R for Regulatory Submission) evidence into indicator scores, pillar scores, and a Submission Confidence Index (SCI). Provides sensitivity analysis, explainability tables, and decision band classification to answer the question: are we ready for regulatory submission.
License: MIT + file LICENSE
URL: https://github.com/R4SUB/r4subscore
BugReports: https://github.com/R4SUB/r4subscore/issues
Depends: R (>= 4.2)
Imports: cli, dplyr, r4subcore, rlang, tibble
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-02-25 15:09:02 UTC; aeroe
Author: Pawan Rama Mali [aut, cre, cph]
Maintainer: Pawan Rama Mali <prm@outlook.in>
Repository: CRAN
Date/Publication: 2026-03-03 21:20:21 UTC

More information about r4subscore at CRAN
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New package r4subrisk with initial version 0.1.0
Package: r4subrisk
Title: Risk Quantification Engine for Clinical Submission Readiness
Version: 0.1.0
Description: Quantifies submission risk using a Failure Modes and Effects Analysis (FMEA)-inspired framework (probability, impact, detectability). Builds risk registers from evidence, computes Risk Priority Numbers (RPN), classifies risk levels, and emits standardized R4SUB (R for Regulatory Submission) evidence table rows via 'r4subcore'. Supports risk mitigation tracking and trend analysis across submission milestones.
License: MIT + file LICENSE
URL: https://github.com/R4SUB/r4subrisk
BugReports: https://github.com/R4SUB/r4subrisk/issues
Depends: R (>= 4.2)
Imports: cli, dplyr, r4subcore, rlang, tibble
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-02-25 15:09:01 UTC; aeroe
Author: Pawan Rama Mali [aut, cre, cph]
Maintainer: Pawan Rama Mali <prm@outlook.in>
Repository: CRAN
Date/Publication: 2026-03-03 21:20:26 UTC

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New package r4subprofile with initial version 0.1.0
Package: r4subprofile
Title: Regulatory Submission Profiles for Clinical Submission Readiness
Version: 0.1.0
Description: Defines submission profiles per regulatory authority with authority-specific pillar weights, decision thresholds, indicator requirements, and risk configuration. Supports the U.S. Food and Drug Administration (FDA), European Medicines Agency (EMA), Pharmaceuticals and Medical Devices Agency (PMDA), Health Canada, Therapeutic Goods Administration (TGA), and Medicines and Healthcare products Regulatory Agency (MHRA). Integrates with 'r4subscore' and 'r4subrisk' configuration systems.
License: MIT + file LICENSE
URL: https://github.com/R4SUB/r4subprofile
BugReports: https://github.com/R4SUB/r4subprofile/issues
Depends: R (>= 4.2)
Imports: cli, r4subcore, rlang, tibble
Suggests: r4subscore, r4subrisk, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-02-25 15:09:00 UTC; aeroe
Author: Pawan Rama Mali [aut, cre, cph]
Maintainer: Pawan Rama Mali <prm@outlook.in>
Repository: CRAN
Date/Publication: 2026-03-03 21:20:32 UTC

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New package DDESONN with initial version 7.1.9
Package: DDESONN
Title: A Deep Dynamic Experimental Self-Organizing Neural Network Framework
Version: 7.1.9
Description: Provides a fully native R deep learning framework for constructing, training, evaluating, and inspecting Deep Dynamic Ensemble Self Organizing Neural Networks at research scale. The core engine is an object oriented R6 class-based implementation with explicit control over layer layout, dimensional flow, forward propagation, back propagation, and transparent optimizer state updates. The framework does not rely on external deep learning back ends, enabling direct inspection of model state, reproducible numerical behavior, and fine grained architectural control without requiring compiled dependencies or graphics processing unit specific run times. Users can define dimension agnostic single layer or deep multi-layer networks without hard coded architecture limits, with per layer configuration vectors for activation functions, derivatives, dropout behavior, and initialization strategies automatically aligned to network depth through controlled replication or truncation. Reproducible workflo [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: R6, stats, utils, dplyr, openxlsx, tidyr, pROC, PRROC, reshape2, digest, ggplot2
Suggests: testthat, knitr, rmarkdown, foreach, quantmod, randomForest, reticulate, zoo, readxl, tibble
VignetteBuilder: knitr
URL: https://github.com/MatHatter/DDESONN
BugReports: https://github.com/MatHatter/DDESONN/issues
NeedsCompilation: no
Packaged: 2026-02-24 15:28:30 UTC; wfky1
Author: Mathew William Armitage Fok [aut, cre]
Maintainer: Mathew William Armitage Fok <quiksilver67213@yahoo.com>
Repository: CRAN
Date/Publication: 2026-03-03 21:10:02 UTC

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New package svyCausalGLM with initial version 0.1.0
Package: svyCausalGLM
Title: Survey-Weighted Modeling Utilities
Version: 0.1.0
Description: Utility functions for survey-weighted regression, diagnostics, and visualization.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, survey, nnet, ggplot2
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-25 19:43:27 UTC; shakahme
Author: Shakeel Ahmed [aut, cre]
Maintainer: Shakeel Ahmed <shakeelatish05@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-03 11:10:02 UTC

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New package rstudiothemes with initial version 1.0.0
Package: rstudiothemes
Title: Create 'RStudio' Themes from Visual Studio Code, Positron and 'TextMate' Themes
Version: 1.0.0
Description: Create and install 'RStudio' themes derived from Visual Studio Code, Positron and 'TextMate' themes. Provides functions to convert between 'TextMate' and Visual Studio Code or Positron themes, as well as ports of several Visual Studio Code themes.
License: MIT + file LICENSE
URL: https://dieghernan.github.io/rstudiothemes/, https://github.com/dieghernan/rstudiothemes
BugReports: https://github.com/dieghernan/rstudiothemes/issues
Depends: R (>= 4.1.0)
Imports: cli, colorspace, dplyr, grDevices, jsonlite, rstudioapi, sass, tidyr, tools, utils, xml2
Suggests: knitr, quarto, testthat (>= 3.0.0), uuid
VignetteBuilder: quarto
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-02-25 20:06:41 UTC; diego
Author: Diego Hernangomez [aut, cre, cph] , Garrick Aden-Buie [cph] function)
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-03 11:20:02 UTC

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New package clinTrialData with initial version 0.1.0
Package: clinTrialData
Title: Clinical Trial Example Datasets
Version: 0.1.0
Description: A collection of clinical trial example datasets from multiple sources including the CDISC Pilot 01 study (CDISC <https://www.cdisc.org/>). All datasets are provided in Parquet format for efficient storage and can be accessed using the 'connector' package. Designed for training, testing, prototyping, and demonstrating clinical data analysis workflows.
Depends: R (>= 4.1.0)
License: Apache License (>= 2)
URL: https://lovemore-gakava.github.io/clinTrialData/, https://github.com/Lovemore-Gakava/clinTrialData
BugReports: https://github.com/Lovemore-Gakava/clinTrialData/issues
Encoding: UTF-8
Imports: connector, httr, jsonlite, piggyback, tools
Suggests: arrow, dplyr, ggplot2, testthat (>= 3.0.0), knitr, rmarkdown, tidyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-25 21:48:59 UTC; lovemore.gakavagmail.com
Author: Lovemore Gakava [aut, cre, cph]
Maintainer: Lovemore Gakava <Lovemore.Gakava@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-03 11:20:08 UTC

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New package Rcope with initial version 1.0.0
Package: Rcope
Title: Tools to Cope with Endogeneity Problems
Version: 1.0.0
Description: Researchers across disciplines often face biased regression model estimates due to endogenous regressors correlated with the error term. Traditional solutions require instrumental variables (IVs), which are often difficult to find and validate. This package provides flexible, alternative IV-free methods using copulas, as described in the practical guide to endogeneity correction using copulas (Yi Qian, Tony Koschmann, and Hui Xie 2025) <doi:10.1177/00222429251410844>. The current version implements the two-stage copula endogeneity correction (2sCOPE) method to fit models with continuous endogenous regressors and both continuous and discrete exogenous regressors, as described in Fan Yang, Yi Qian, and Hui Xie (2024) <doi:10.1177/00222437241296453>. Using this method, users can address regressor endogeneity problems in nonexperimental data without requiring IVs.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, Formula, car
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-02-25 00:00:03 UTC; anton
Author: Anthony Obrzut [aut, cre], Yi Qian [aut], Hui Xie [aut]
Maintainer: Anthony Obrzut <anthony_obrzut@sfu.ca>
Repository: CRAN
Date/Publication: 2026-03-03 10:20:24 UTC

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New package rCausalMGM with initial version 1.0
Package: rCausalMGM
Title: Scalable Causal Discovery and Model Selection on Mixed Datasets with 'rCausalMGM'
Version: 1.0
Date: 2026-02-09
Author: Tyler C Lovelace [aut], Max Dudek [aut], Jack Fiore [aut], Panayiotis V Benos [aut, cre]
Maintainer: Panayiotis V Benos <pbenos@ufl.edu>
Description: Scalable methods for learning causal graphical models from mixed data, including continuous, discrete, and censored variables. The package implements CausalMGM, which combines a convex, score-based approach for learning an initial moralized graph with a producer-consumer scheme that enables efficient parallel conditional independence testing in constraint-based causal discovery algorithms. The implementation supports high-dimensional datasets and provides individual access to core components of the workflow, including MGM and the PC-Stable and FCI-Stable causal discovery algorithms. To support practical applications, the package includes multiple model selection strategies, including information criteria based on likelihood and model complexity, cross-validation for out-of-sample likelihood estimation, and stability-based approaches that assess graph robustness across subsamples.
License: GPL-3
Imports: Rcpp (>= 1.0.3), survival
LinkingTo: BH, Rcpp, RcppArmadillo, RcppThread
Suggests: Rgraphviz, graph
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-02-22 23:54:06 UTC; tyler
Repository: CRAN
Date/Publication: 2026-03-03 10:20:02 UTC

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New package orthanc with initial version 0.1.0
Package: orthanc
Title: Programmatic Interface to 'Orthanc' DICOM Servers
Version: 0.1.0
Description: An R Interface to 'Orthanc' DICOM servers for medical imaging workflows. 'Orthanc' is a lightweight, open-source DICOM server that exposes a comprehensive REST API for managing, querying, retrieving, and modifying DICOM resources (<https://www.orthanc-server.com>). The goal of this package is to provide comprehensive and user-friendly access to the 'Orthanc' REST API, designed to align with idiomatic R workflows while preserving the structure and semantics of DICOM resources.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: carrier (>= 0.3.0), digest, glue, fs, httr2, jsonlite, mirai (>= 2.5.1), purrr (>= 1.1.0), R6, rlang
URL: https://github.com/mattwarkentin/orthanc, https://mattwarkentin.github.io/orthanc/
BugReports: https://github.com/mattwarkentin/orthanc/issues
NeedsCompilation: no
Packaged: 2026-02-24 23:09:38 UTC; matt
Author: Matthew T. Warkentin [aut, cre, cph]
Maintainer: Matthew T. Warkentin <matthew.warkentin@ucalgary.ca>
Repository: CRAN
Date/Publication: 2026-03-03 10:20:10 UTC

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New package MixMashNet with initial version 0.6.0
Package: MixMashNet
Title: Tools for Multilayer and Single Layer Network Modeling
Version: 0.6.0
Maintainer: Maria De Martino <maria.demartino@uniud.it>
Description: Estimation and bootstrap utilities for single layer and multilayer Mixed Graphical Models, including functions for centrality, bridge metrics, membership stability, and plotting (De Martino et al. (2026) <doi:10.48550/arXiv.2602.05716>).
License: AGPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: mgm, igraph, qgraph, colorspace, future.apply, stats, utils, ggplot2, EGAnet, networktools, dplyr, magrittr, rlang, tibble, tidyr, patchwork, progressr
URL: https://arcbiostat.github.io/MixMashNet/
BugReports: https://github.com/ARCbiostat/MixMashNet/issues
NeedsCompilation: no
Packaged: 2026-02-25 09:52:55 UTC; mariademartino
Author: Maria De Martino [aut, cre], Caterina Gregorio [aut], Adrien Perigord [ctb]
Repository: CRAN
Date/Publication: 2026-03-03 10:40:09 UTC

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New package lobby with initial version 0.0.2
Package: lobby
Title: Interact with the 'US Senate Lobbying Disclosure API'
Version: 0.0.2
Description: Download and read data on lobbying in the United States Congress. Data is queried from the Senate's Application Programming Interface (<https://lda.senate.gov/api/>). This supports filings since 2008. Functions exist for all primary data endpoints, including queries by filings, contributions, registrations, clients, and lobbyists.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, dplyr, httr2, jsonlite, purrr, tibble
Suggests: spelling, testthat (>= 3.0.0), vcr (>= 2.0.0)
Depends: R (>= 4.1.0)
URL: https://github.com/christopherkenny/lobby, https://christophertkenny.com/lobby/
Language: en-US
NeedsCompilation: no
Packaged: 2026-02-25 15:05:40 UTC; chris
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>
Repository: CRAN
Date/Publication: 2026-03-03 11:00:02 UTC

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New package inflateR with initial version 0.1.1
Package: inflateR
Title: Inflation Adjustment for Historical Currency Values
Version: 0.1.1
Description: Convert historical monetary values into their present-day equivalents using bundled CPI (Consumer Price Index) data sourced from the World Bank Development Indicators. Supports British pounds (GBP), Australian dollars (AUD), US dollars (USD), Euro (EUR), Canadian dollars (CAD), Japanese yen (JPY), Chinese yuan (CNY), and Swiss francs (CHF). Currency codes and country names are both accepted as input.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/charlescoverdale/inflateR
BugReports: https://github.com/charlescoverdale/inflateR/issues
LazyData: true
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2026-02-24 20:50:53 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-03 10:10:02 UTC

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New package fastrc with initial version 0.0.2
Package: fastrc
Title: Fast Reverse Complement of DNA and RNA Sequences
Version: 0.0.2
Description: Fast reverse complement of DNA and RNA sequences using a 'C++' lookup table for O(1) per-base complement mapping. Supports full IUPAC ambiguity codes, DNA and RNA modes, case preservation, and NA handling. Much faster than other packages for computing reverse complements of many short sequences such as primers, probes, and, k-mers.
License: GPL (>= 3)
Language: en-US
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
LinkingTo: Rcpp
Imports: Rcpp
NeedsCompilation: yes
Packaged: 2026-02-24 20:48:02 UTC; steve
Author: Steven G. Rozen [aut, cre]
Maintainer: Steven G. Rozen <steverozen@pm.me>
Repository: CRAN
Date/Publication: 2026-03-03 10:10:07 UTC

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New package savvySh with initial version 0.1.0
Package: savvySh
Title: Slab and Shrinkage Linear Regression Estimation
Version: 0.1.0
Description: Implements a suite of shrinkage estimators for multivariate linear regression to improve estimation stability and predictive accuracy. Provides methods including the Stein estimator, Diagonal Shrinkage, the general Shrinkage estimator (solving a Sylvester equation), and Slab Regression (Simple and Generalized). These methods address Stein's paradox by introducing structured bias to reduce variance without requiring cross-validation, except for Shrinkage Ridge Regression where the intensity is chosen by minimizing an explicit Mean Squared Error (MSE) criterion. Methods are based on paper <https://openaccess.city.ac.uk/id/eprint/35005/>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://ziwei-chenchen.github.io/savvySh/
Depends: R (>= 3.6.0)
Imports: Matrix, glmnet, MASS, expm, mnormt, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-24 17:49:54 UTC; lanceyun
Author: Ziwei Chen [aut, cre] , Vali Asimit [aut] , Marina Anca Cidota [aut] , Jennifer Asimit [aut]
Maintainer: Ziwei Chen <Ziwei.Chen.3@citystgeorges.ac.uk>
Repository: CRAN
Date/Publication: 2026-03-03 10:00:07 UTC

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New package MetaEntropy with initial version 1.2
Package: MetaEntropy
Title: Functional Shannon Entropy for Virome Mutational Analysis
Version: 1.2
Date: 2026-02-09
Description: Estimates Shannon entropy, per gene and per genomic position, associated with non-synonymous mutation frequencies in viral populations, such as wastewater samples or quasispecies. By categorizing amino acids based on their physicochemical properties, the package determines whether a mutation is functionally disruptive or neutral. Provides normalized values (0-1 scale) to facilitate the direct comparison of different genomic positions or total functional entropy across multiple metagenomes. Designed to analyze mutational data using tabular 'Single Nucleotide Variant' (SNV) frequency tables generated by variant callers (e.g., 'iVar' or 'LoFreq'), operating independently of consensus sequence estimation and multiple sequence alignment.
Encoding: UTF-8
Depends: R (>= 4.1.0)
LazyData: true
Suggests: rmarkdown
Imports: ggplot2, patchwork, beeswarm, knitr
VignetteBuilder: knitr
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2026-02-24 18:36:01 UTC; leandro
Author: Leandro Roberto Jones [aut, cre] , Julieta Marina Manrique [aut]
Maintainer: Leandro Roberto Jones <lrj000@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-03 10:00:38 UTC

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New package lobsteR with initial version 1.0.0
Package: lobsteR
Title: Access and Process 'LOBSTER' High-Frequency Data
Version: 1.0.0
Description: Provides tools to authenticate with 'LOBSTER' (Limit Order Book System - The Efficient Reconstruction, <https://app.lobsterdata.com/>), request, download, and process high-frequency limit order book data. Streamlines the end-to-end workflow from data request to analysis-ready datasets. For advanced high-frequency econometric analysis, see the 'highfrequency' package.
Depends: R (>= 4.2.0)
License: MIT + file LICENSE
URL: https://github.com/voigtstefan/lobsteR, https://voigtstefan.github.io/lobsteR/
BugReports: https://github.com/voigtstefan/lobsteR/issues
Imports: archive, assertthat, callr, dplyr, httr, lubridate, purrr, rvest, timeDate
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), xml2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-02-24 16:11:20 UTC; ncj140
Author: Karol Kulma [aut], Stefan Voigt [aut, cre, cph]
Maintainer: Stefan Voigt <stefan.voigt@econ.ku.dk>
Repository: CRAN
Date/Publication: 2026-03-03 09:50:02 UTC

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New package ccLRforR with initial version 1.0
Package: ccLRforR
Title: Case-Control Likelihood Ratio (ccLR)
Version: 1.0
Description: Implementation of case-control data analysis using likelihood ratio approaches and logistic regression for the classification of variants of uncertain significance (VUS) in breast, ovarian, or custom cancer susceptibility genes.
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: Rcpp, dplyr, tidyr, utils, stats
LinkingTo: Rcpp (>= 1.0.13)
NeedsCompilation: yes
# VUS: Volume Under the ROC Surface
# ccLR: case-control Likelihood Ratio
Packaged: 2026-02-24 18:51:33 UTC; damianosmichaelides
Author: Damianos Michaelides [aut, cre], Maria Zanti [aut], Christian Carrizosa [aut], Theodora Nearchou [aut], Kyriaki Michailidou [aut]
Maintainer: Damianos Michaelides <damianosm@cing.ac.cy>
Repository: CRAN
Date/Publication: 2026-03-03 10:00:14 UTC

More information about ccLRforR at CRAN
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Mon, 02 Mar 2026

New package test.assessr with initial version 1.1.1
Package: test.assessr
Title: Assessing Package Test Reliability and Quality
Version: 1.1.1
Description: A reliable and validated tool that calculates unit test coverage for R packages with standard testing frameworks and non-standard testing frameworks.
License: GPL (>= 2)
BugReports: https://github.com/Sanofi-Public/test.assessr/issues
Depends: R (>= 4.1.0)
Imports: callr, checkmate, covr, dplyr, fs, jsonlite, pkgload, remotes, rlang, rmarkdown, RUnit, stringr, testthat (>= 3.0.0), tidyr, utils, withr
Suggests: devtools, DT, here, kableExtra, knitr, methods, R6, S7, roxygen2, tidyselect, tools, mockery
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-24 10:54:56 UTC; u1004798
Author: Edward Gillian [cre, aut] , Hugo Bottois [aut] , Paulin Charliquart [aut], Andre Couturier [aut], Sanofi [cph, fnd]
Maintainer: Edward Gillian <edward.gillian-ext@sanofi.com>
Repository: CRAN
Date/Publication: 2026-03-02 22:20:02 UTC

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New package rangecondprob with initial version 0.4.1
Package: rangecondprob
Title: Tools for Conditional Probability
Version: 0.4.1
Description: Streamline the calculation of conditional probabilities for various numeric ranges in an R DataFrame. It automates the need to convert numerical data into categorical data for conditional probability calculation, making it ideal for quick and preliminary data analysis.
License: GPL-3
Depends: R (>= 3.0.0), dplyr
Encoding: UTF-8
URL: https://github.com/kimmanlui/calc_cond_prob
BugReports: https://github.com/kimmanlui/calc_cond_prob/issues
NeedsCompilation: no
Packaged: 2026-02-24 06:53:58 UTC; admin
Author: Kim Man Lui [aut, cre]
Maintainer: Kim Man Lui <cskmlui@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-02 22:00:02 UTC

More information about rangecondprob at CRAN
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New package propensity with initial version 0.1.0
Package: propensity
Title: A Toolkit for Calculating and Working with Propensity Scores
Version: 0.1.0
Description: Calculates propensity score weights for multiple causal 'estimands' across binary, continuous, and categorical exposures. Provides methods for handling extreme propensity scores through trimming, truncation, and calibration. Includes inverse probability weighted estimators that correctly account for propensity score estimation uncertainty.
License: MIT + file LICENSE
URL: https://r-causal.github.io/propensity/, https://github.com/r-causal/propensity
BugReports: https://github.com/r-causal/propensity/issues
Depends: R (>= 4.2.0)
Imports: cli, lifecycle, rlang, stats, tidyselect, vctrs (>= 0.6.5)
Suggests: dplyr, ggplot2, knitr, mgcv, nnet, parsnip, probably, PSweight, rmarkdown, spelling, testthat (>= 3.0.0), tibble, tidyr, WeightIt, withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-02-24 02:12:58 UTC; malcolmbarrett
Author: Malcolm Barrett [aut, cre, cph]
Maintainer: Malcolm Barrett <malcolmbarrett@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-02 21:50:02 UTC

More information about propensity at CRAN
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New package FuelDeep3D with initial version 0.1.1
Package: FuelDeep3D
Title: 3D Fuel Segmentation Using Terrestrial Laser Scanning and Deep Learning
Version: 0.1.1
Description: Provides tools for preprocessing, feature extraction, and segmentation of three-dimensional forest point clouds derived from terrestrial laser scanning. Functions support creating height-above-ground (HAG) metrics, tiling, and sampling point clouds, generating training datasets, applying trained models to new point clouds, and producing per-point fuel classes such as stems, branches, foliage, and surface fuels. These tools support workflows for forest structure analysis, wildfire behavior modeling, and fuel complexity assessment. Deep learning segmentation relies on the PointNeXt architecture described by Qian et al. (2022) <doi:10.48550/arXiv.2206.04670>, while ground classification utilizes the Cloth Simulation Filter algorithm by Zhang et al. (2016) <doi:10.3390/rs8060501>.
Depends: R (>= 4.1)
Imports: stats, RColorBrewer, viridisLite, rlang
Suggests: lidR, reticulate, dbscan, ggplot2, rgl, RCSF, scales
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/venkatasivanaga/FuelDeep3D
BugReports: https://github.com/venkatasivanaga/FuelDeep3D/issues
NeedsCompilation: no
Packaged: 2026-02-23 22:27:20 UTC; vs.naga
Author: Venkata Siva Reddy Naga [aut, cre], Alexander John Gaskins [aut], Carlos Alberto Silva [aut]
Maintainer: Venkata Siva Reddy Naga <venkatasivareddy003@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-02 21:30:03 UTC

More information about FuelDeep3D at CRAN
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New package flexhaz with initial version 0.5.0
Package: flexhaz
Title: Dynamic Failure Rate Distributions for Survival Analysis
Version: 0.5.0
Description: Flexible framework for specifying survival distributions through their hazard (failure rate) functions. Define arbitrary time-varying hazard functions to model complex failure patterns including bathtub curves, proportional hazards with covariates, and other non-standard hazard behaviors. Provides automatic computation of survival, CDF, PDF, quantiles, and sampling. Implements the likelihood model interface for maximum likelihood estimation with right-censored and left-censored survival data.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: stats, numDeriv, algebraic.dist, likelihood.model, generics
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
URL: https://github.com/queelius/flexhaz, https://queelius.github.io/flexhaz/
BugReports: https://github.com/queelius/flexhaz/issues
NeedsCompilation: no
Packaged: 2026-02-24 07:01:04 UTC; spinoza
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <queelius@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-02 22:00:07 UTC

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New package dpdr with initial version 0.1.0
Package: dpdr
Title: Interface to Health Canada Drug Product Database API
Version: 0.1.0
Description: A programmatic interface to Health Canada's Drug Product Database (DPD) REST API for querying information about drugs approved for use in Canada. More information on the DPD can be found in the API guide (<https://health-products.canada.ca/api/documentation/dpd-documentation-en.html>).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: glue, httr2, jsonlite, memoise, rlang, tibble
URL: https://github.com/mattwarkentin/dpdr, https://mattwarkentin.github.io/dpdr/
BugReports: https://github.com/mattwarkentin/dpdr/issues
NeedsCompilation: no
Packaged: 2026-02-23 23:00:23 UTC; matt
Author: Matthew T. Warkentin [aut, cre, cph]
Maintainer: Matthew T. Warkentin <matthew.warkentin@ucalgary.ca>
Repository: CRAN
Date/Publication: 2026-03-02 21:40:02 UTC

More information about dpdr at CRAN
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New package cograph with initial version 1.5.2
Package: cograph
Title: Modern Network Visualization
Version: 1.5.2
Description: Provides tools for the analysis, visualization, and manipulation of dynamical, social (Saqr et al. (2024) <doi:10.1007/978-3-031-54464-4_10>) and complex networks (Saqr et al. (2025) <doi:10.1145/3706468.3706513>). The package supports multiple network formats and offers flexible tools for heterogeneous, multi-layer, and hierarchical network analysis with simple syntax and extensive toolset.
License: MIT + file LICENSE
URL: https://sonsoles.me/cograph/
BugReports: https://github.com/sonsoleslp/cograph/issues
Depends: R (>= 4.4.0)
Imports: R6, grid, grDevices, ggplot2, stats, utils
Suggests: igraph, network, scales, testthat (>= 3.0.0), knitr, rmarkdown, digest, grImport2, rsvg, qgraph, tna, RColorBrewer, colorspace
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-02-23 22:28:43 UTC; slopezpe
Author: Mohammed Saqr [aut], Sonsoles Lopez-Pernas [aut, cre], Santtu Tikka [aut]
Maintainer: Sonsoles Lopez-Pernas <sonsoles.lopez@uef.fi>
Repository: CRAN
Date/Publication: 2026-03-02 21:40:08 UTC

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Sat, 28 Feb 2026

New package KWELA with initial version 1.0.0
Package: KWELA
Title: Hierarchical Adaptive 'RT-QuIC' Classification for Complex Matrices
Version: 1.0.0
Description: Extends 'RT-QuIC' (Real-Time Quaking-Induced Conversion) statistical analysis to complex environmental matrices through hierarchical adaptive classification. 'KWELA' is named after a deity of the Fore people of Papua New Guinea, among whom Kuru, a notable human prion disease, was identified. Implements a 6-layer architecture: hard gate biological constraints, per-well adaptive scoring, separation-aware combination, Youden-optimized cutoffs, replicate consensus, and matrix instability detection. Features dual-mode operation (diagnostic/research), auto-profile selection (Standard/Sensitive/Matrix-Robust), RAF integration for artifact detection, matrix-aware baseline correction, and multiple consensus rules. Methods include energy distance (Szekely and Rizzo (2013) <doi:10.1016/j.jspi.2013.03.018>), CRPS (Gneiting and Raftery (2007) <doi:10.1198/016214506000001437>), SSMD (Zhang (2007) <doi:10.1016/j.ygeno.2007.01.005>), and Jensen-Shannon divergence (Lin (1991) <doi: [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/RFeissIV/KWELA
BugReports: https://github.com/RFeissIV/KWELA/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-23 21:10:41 UTC; root
Author: Richard A. Feiss IV [aut, cre]
Maintainer: Richard A. Feiss IV <feiss026@umn.edu>
Repository: CRAN
Date/Publication: 2026-02-28 21:10:02 UTC

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New package VectorForgeML with initial version 0.1.0
Package: VectorForgeML
Title: High-Performance Machine Learning Framework with C++ Acceleration
Version: 0.1.0
Description: Machine learning utilities for fast vectorized model training. Methods are based on standard statistical learning references such as Hastie et al. (2009) <doi:10.1007/978-0-387-84858-7>.
License: Apache License (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: methods, Rcpp
LinkingTo: Rcpp
SystemRequirements: OpenMP (optional)
URL: https://vectorforgeml.work.gd
BugReports: https://github.com/mohd-musheer/VectorForgeML/issues
NeedsCompilation: yes
Packaged: 2026-02-23 17:30:35 UTC; mushe
Author: Musheer Mohd [aut, cre]
Maintainer: Musheer Mohd <musheerayan@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-28 20:40:08 UTC

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New package obm with initial version 2.0
Package: obm
Title: Interface to 'OpenBioMaps' Data and Services
Version: 2.0
Description: Provides access to selected functions and data available through any 'OpenBioMaps' <https://openbiomaps.org> server instance. 'OpenBioMaps' is an open-source biodiversity data management platform designed for conservation professionals and researchers. User authentication and access control are handled through 'OpenBioMaps' login credentials.
Depends: R (>= 3.1.0)
License: GPL-3
Imports: httr, rjson, jsonlite, RPostgreSQL, DBI, utils
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-02-23 20:10:44 UTC; banm
Author: Miklos Ban [aut, cre]
Maintainer: Miklos Ban <banm@vocs.unideb.hu>
Repository: CRAN
Date/Publication: 2026-02-28 20:50:08 UTC

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New package NORMAgene with initial version 0.1.1
Package: NORMAgene
Title: Data-Driven qRT-PCR Normalization Using NORMAgene
Version: 0.1.1
Description: Enables correction for technical variance in raw quantitative reverse transcription polymerase chain reaction (qRT-PCR) data using the least squares-based NORMAgene data-driven normalization algorithm originally described by Heckmann et al. (2011) <doi:10.1186/1471-2105-12-250>. Performs normalization of raw crossing threshold values (CT) and also calculates relative variability metrics that can be used to assess the impact of normalization on variance.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports:
Suggests: testthat (>= 3.0.0)
Author: Grant C. O'Connell [aut, cre]
Maintainer: Grant C. O'Connell <goconnell.phd@gmail.com>
Repository: CRAN
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-02-22 15:31:06 UTC; gco6
Date/Publication: 2026-02-28 20:40:13 UTC

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New package nhanesdata with initial version 0.2.1
Package: nhanesdata
Title: Harmonized Access to NHANES Survey Data
Version: 0.2.1
Description: Instant access to harmonized National Health and Nutrition Examination Survey (NHANES) data spanning 1999-2023. Retrieve pre-processed datasets from reliable cloud storage with automatic type reconciliation and integrated search tools for variables and datasets. Simplifies NHANES data workflows by handling cycle management and maintaining data consistency across survey waves. Data is sourced from <https://www.cdc.gov/nchs/nhanes/>.
License: MIT + file LICENSE
URL: https://github.com/kyleGrealis/nhanesdata, https://www.kylegrealis.com/nhanesdata/
BugReports: https://github.com/kyleGrealis/nhanesdata/issues
Language: en-US
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: arrow, dplyr, nhanesA, rlang, scales, stringr, srvyr, tibble
Suggests: cli, curl, devtools, fs, ggplot2, httptest2, janitor, jsonlite, knitr, paws.storage, purrr, reactable, rmarkdown, roxygen2, testthat (>= 3.0.0), tools, withr, yaml
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-23 19:09:49 UTC; kyle
Author: Kyle Grealis [aut, cre] , Amrit Baral [ctb] , Natalie Neugaard [ctb] , Raymond Balise [ctb] , Johannes Thrul [ctb] , Janardan Devkota [ctb]
Maintainer: Kyle Grealis <kylegrealis@proton.me>
Repository: CRAN
Date/Publication: 2026-02-28 20:40:02 UTC

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Fri, 27 Feb 2026

New package hypertext with initial version 1.0.0
Package: hypertext
Title: 'HTML' Element Construction
Version: 1.0.0
Description: Provides a deterministic, framework-agnostic Domain-Specific Language for building 'HTML' nodes and rendering them to a string.
License: MIT + file LICENSE
URL: https://github.com/sigflux/hypertext
BugReports: https://github.com/sigflux/hypertext/issues
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-23 02:52:02 UTC; mwavu
Author: Kennedy Mwavu [aut, cre] , Sigflux [cph, fnd]
Maintainer: Kennedy Mwavu <mwavukennedy@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-27 20:00:02 UTC

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New package GLmom with initial version 1.3.1
Package: GLmom
Title: Generalized L-Moments Estimation for Extreme Value Distributions
Version: 1.3.1
Description: Provides generalized L-moments estimation methods for the generalized extreme value ('GEV') distribution. Implements both stationary 'GEV' and non-stationary 'GEV11' models where location and scale parameters vary with time. Includes various penalty functions ('Martins'-'Stedinger', Park, Cannon, 'Coles'-Dixon) for shape parameter regularization. Also provides model averaging estimation ('ma.gev') that combines MLE and L-moment methods with multiple weighting schemes for robust high quantile estimation. The 'GLME' methodology is described in Shin et al. (2025a) <doi:10.48550/arXiv.2512.20385>. The non-stationary L-moment method is based on Shin et al. (2025b) <doi:10.1007/s42952-025-00325-3>. The model averaging method is described in Shin et al. (2026) <doi:10.1007/s00477-025-03167-x>. See also 'Hosking' (1990) <doi:10.1111/j.2517-6161.1990.tb01775.x> for L-moments theory and 'Martins' and 'Stedinger' (2000) <doi:10.1029/1999WR900330> for penalized likeli [...truncated...]
License: GPL (>= 3)
URL: https://github.com/sygstat/GLmom
BugReports: https://github.com/sygstat/GLmom/issues
Encoding: UTF-8
LazyData: true
Imports: lmomco, nleqslv, stats, methods, robustbase, ismev, Rsolnp, zoo, graphics
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2026-02-23 00:42:17 UTC; energy
Author: Yonggwan Shin [aut, cre] , Seokkap Ko [aut, ctb] , Jihong Park [ctb] , Yire Shin [aut, dtc] , Jeong-Soo Park [aut, ths]
Maintainer: Yonggwan Shin <syg.stat@etri.re.kr>
Repository: CRAN
Date/Publication: 2026-02-27 20:02:11 UTC

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New package ggvegan with initial version 0.2.1
Package: ggvegan
Title: 'ggplot2' Plots for the 'vegan' Package
Version: 0.2.1
Depends: R (>= 4.1.0)
Imports: vegan (>= 2.3-0), dplyr, tibble, vctrs, ggplot2, grid, tidyr, ggrepel, generics
Suggests: testthat (>= 3.0.0), vdiffr (>= 1.0.0), permute, withr
Description: Functions to produce 'ggplot2'-based plots of objects produced by functions in the 'vegan' package. Provides 'fortify()', 'autoplot()', and 'tidy()' methods for many of 'vegan''s functions. The aim of 'ggvegan' is to make it easier to work within the 'tidyverse' with 'vegan'.
License: GPL-2
ByteCompile: true
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2026-02-23 11:44:48 UTC; gavin
Author: Gavin L. Simpson [aut, cre] , Jari Oksanen [aut] , Didzis Elferts [ctb]
Maintainer: Gavin L. Simpson <ucfagls@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-27 20:30:02 UTC

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New package ggvariant with initial version 0.1.0
Package: ggvariant
Title: Tidy, 'ggplot2'-Native Visualization for Genomic Variants
Version: 0.1.0
Description: A simple, opinionated toolkit for visualizing genomic variant data using a 'ggplot2'-native grammar. Accepts VCF files or plain data frames and produces publication-ready lollipop plots, consequence summaries, mutational spectrum charts, and cohort-level comparisons with minimal code. Designed for both wet-lab biologists and experienced bioinformaticians.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.4.0), cli (>= 3.6.0), scales (>= 1.3.0)
Suggests: plotly (>= 4.10.0), testthat (>= 3.0.0), covr, knitr, rmarkdown
URL: https://github.com/josh45-source/ggvariant
BugReports: https://github.com/josh45-source/ggvariant/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-23 14:21:00 UTC; Joshua
Author: Joash Joshua Ayo [aut, cre]
Maintainer: Joash Joshua Ayo <joashjoshua789@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-27 20:40:02 UTC

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New package astronomyengine with initial version 0.1.0
Package: astronomyengine
Title: R Bindings to the 'Astronomy Engine' C Library
Version: 0.1.0
Description: Provides access to the 'Astronomy Engine' C library (<https://github.com/cosinekitty/astronomy>) by Don Cross. The library calculates positions of the Sun, Moon, and planets, and predicts astronomical events such as rise/set times, lunar phases, equinoxes, solstices, eclipses, and transits. It is based on the 'VSOP87' planetary model and is accurate to within approximately one arcminute. This package bundles the single-file C source so that other R packages can link against it via 'LinkingTo' without shipping their own copy.
License: MIT + file LICENSE
URL: https://github.com/mitchelloharawild/astronomyengine
BugReports: https://github.com/mitchelloharawild/astronomyengine/issues
LinkingTo: cpp11
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-02-23 12:09:33 UTC; mitchell
Author: Mitchell O'Hara-Wild [aut, cre] , Don Cross [aut, cph]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>
Repository: CRAN
Date/Publication: 2026-02-27 20:32:11 UTC

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New package sasquatch with initial version 0.1.3
Package: sasquatch
Title: Use 'SAS', R, and 'quarto' Together
Version: 0.1.3
Description: Use R and 'SAS' within reproducible multilingual 'quarto' documents. Run 'SAS' code blocks interactively, send data back and forth between 'SAS' and R, and render 'SAS' output within 'quarto' documents. 'SAS' connections are established through a combination of 'SASPy' and 'reticulate'.
License: MIT + file LICENSE
URL: https://docs.ropensci.org/sasquatch/, https://github.com/ropensci/sasquatch
BugReports: https://github.com/ropensci/sasquatch/issues
Depends: R (>= 4.1.0)
Imports: cli, evaluate, htmlwidgets, knitr, reticulate (>= 1.41.0), rlang (>= 1.1.0), rstudioapi
Suggests: curl, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: python (>= 3.4.0), SASPy, java (>= 7) required for IOM access method
NeedsCompilation: no
Packaged: 2026-02-22 05:51:12 UTC; user
Author: Ryan Zomorrodi [aut, cre, cph]
Maintainer: Ryan Zomorrodi <rzomor2@uic.edu>
Repository: CRAN
Date/Publication: 2026-02-27 19:50:02 UTC

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New package fitVARMxID with initial version 1.0.2
Package: fitVARMxID
Title: Fit the Vector Autoregressive Model for Multiple Individuals
Version: 1.0.2
Description: Fit the vector autoregressive model for multiple individuals using the 'OpenMx' package (Hunter, 2017 <doi:10.1080/10705511.2017.1369354>).
URL: https://github.com/jeksterslab/fitVARMxID, https://jeksterslab.github.io/fitVARMxID/
BugReports: https://github.com/jeksterslab/fitVARMxID/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0), OpenMx (>= 2.22.10)
Imports: stats, simStateSpace (>= 1.2.14)
Suggests: knitr, rmarkdown, testthat
NeedsCompilation: no
Packaged: 2026-02-22 18:31:45 UTC; root
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-27 19:50:09 UTC

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New package tidyaudit with initial version 0.1.0
Package: tidyaudit
Title: Pipeline Audit Trails and Data Diagnostics for 'tidyverse' Workflows
Version: 0.1.0
Description: Provides pipeline audit trails and data diagnostics for 'tidyverse' workflows. The audit trail system captures lightweight metadata snapshots at each step of a pipeline, building a structured audit report without storing the data itself. Also includes diagnostic functions for interactive data analysis.
License: LGPL (>= 3)
URL: https://github.com/fpcordeiro/tidyaudit
BugReports: https://github.com/fpcordeiro/tidyaudit/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr (>= 1.2.0), glue, rlang (>= 1.0.0), stats, utils
Suggests: knitr, rmarkdown, stringi, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-02-22 14:37:06 UTC; fernando
Author: Fernando Cordeiro [aut, cre, cph]
Maintainer: Fernando Cordeiro <fernandolpcordeiro@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-27 16:00:02 UTC

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New package sessioncheck with initial version 0.1
Package: sessioncheck
Title: Checks Session Status
Version: 0.1
Description: Provides tools to check variables contained in the user environment, and inspect the currently loaded package namespaces. The intended use is to allow user scripts to throw errors or warnings if unwanted variables exist or if unwanted packages are loaded.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/djnavarro/sessioncheck, https://sessioncheck.djnavarro.net/
BugReports: https://github.com/djnavarro/sessioncheck/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-22 07:19:24 UTC; danielle
Author: Danielle Navarro [aut, cre, cph]
Maintainer: Danielle Navarro <djnavarro@protonmail.com>
Repository: CRAN
Date/Publication: 2026-02-27 16:00:08 UTC

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New package RcppTskit with initial version 0.2.0
Package: RcppTskit
Title: 'R' Access to the 'tskit C' API
Version: 0.2.0
Date: 2026-01-27
Description: 'Tskit' enables efficient storage, manipulation, and analysis of ancestral recombination graphs (ARGs) using succinct tree sequence encoding. The tree sequence encoding of an ARG is described in Wong et al. (2024) <doi:10.1093/genetics/iyae100>, while `tskit` project is described in Jeffrey et al. (2026) <doi:10.48550/arXiv.2602.09649>. See also <https://tskit.dev> for project news, documentation, and tutorials. 'Tskit' provides 'Python', 'C', and 'Rust' application programming interfaces (APIs). The 'Python' API can be called from 'R' via the 'reticulate' package to load and analyse tree sequences as described at <https://tskit.dev/tutorials/tskitr.html>. 'RcppTskit' provides 'R' access to the 'tskit C' API for cases where the 'reticulate' option is not optimal; for example, high-performance or low-level work with tree sequences. Currently, 'RcppTskit' provides a limited set of 'R' functions because the 'Python' API and 'reticulate' already covers most needs.
License: MIT + file LICENSE
URL: https://github.com/HighlanderLab/RcppTskit
BugReports: https://github.com/HighlanderLab/RcppTskit/issues
Depends: R (>= 4.0.0)
Imports: methods, R6, Rcpp (>= 1.0.8), reticulate (>= 1.43.0)
Suggests: covr, knitr, quarto, spelling, testthat (>= 3.0.0)
LinkingTo: Rcpp (>= 0.12.10)
VignetteBuilder: quarto
Encoding: UTF-8
Language: en-GB
NeedsCompilation: yes
Packaged: 2026-02-22 09:34:21 UTC; ggorjanc
Author: Gregor Gorjanc [aut, cre, cph] , Tskit Developers [cph]
Maintainer: Gregor Gorjanc <gregor.gorjanc@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-27 16:02:24 UTC

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New package neuromapr with initial version 0.2.1
Package: neuromapr
Title: Spatial Null Models and Transforms for Brain Map Comparison
Version: 0.2.1
Description: Implements spatial null models and coordinate-space transformations for statistical comparison of brain maps, following the framework described in Markello et al. (2022) <doi:10.1038/s41592-022-01625-w>. Provides variogram-matching surrogates (Burt et al. 2020), Moran spectral randomization (Wagner & Dray 2015), and spin-based permutation tests (Alexander-Bloch et al. 2018). Includes an R interface to the 'neuromaps' annotation registry for browsing, downloading, and comparing brain map annotations from the Open Science Framework ('OSF'). Integrates with 'ciftiTools' for coordinate-space transforms.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: cli, dplyr, ggplot2, gifti, httr2, igraph, lifecycle, rlang, stats, tibble, tools, withr
Suggests: ciftiTools, clue, freesurferformats, jsonlite, knitr, rmarkdown, RNifti, RSpectra, testthat (>= 3.0.0), vcr (>= 1.0.0)
VignetteBuilder: knitr
URL: https://github.com/lcbc-uio/neuromapr, https://lcbc-uio.github.io/neuromapr/, https://doi.org/10.5281/zenodo.18648937
BugReports: https://github.com/lcbc-uio/neuromapr/issues
NeedsCompilation: no
Packaged: 2026-02-22 20:26:24 UTC; athanasm
Author: Athanasia Mo Mowinckel [aut, cre, cph]
Maintainer: Athanasia Mo Mowinckel <a.m.mowinckel@psykologi.uio.no>
Repository: CRAN
Date/Publication: 2026-02-27 16:20:02 UTC

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Wed, 25 Feb 2026

New package HaploDiploidEquilibrium with initial version 0.1.0
Package: HaploDiploidEquilibrium
Title: Calculate F Statistics Using Mixed Haploid and Diploid Organism Data
Version: 0.1.0
Description: Provides functions to estimate population genetics summary statistics from haplo-diploid systems, where one sex is haploid and the other diploid (e.g. Hymenoptera insects). It implements a theoretical model assuming equal sex ratio, random mating, no selection, no mutation, and no gene flow, deriving expected genotype frequencies for both sexes under these equilibrium conditions. The package includes windowed calculations (operating over genomic sliding windows from VCF input) for allele and genotype frequencies, the inbreeding coefficient (Fis), pairwise Fst, Nei's H (gene diversity), Watterson's Theta, and sex-specific reference allele frequencies. Most statistics are agnostic to ploidy, allowing the package to be applied to both strictly haplo-diploid and fully diploid systems.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, vcfR, data.table, matrixStats
NeedsCompilation: no
Packaged: 2026-02-21 13:10:42 UTC; francisco
Author: Paulo Sousa [aut], Francisco Pina-Martins [cre, aut]
Maintainer: Francisco Pina-Martins <f.pinamartins@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-25 19:30:12 UTC

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New package countyhealthR with initial version 0.1.3
Package: countyhealthR
Title: Programmatic Access to County Health Rankings & Roadmaps Data
Version: 0.1.3
Maintainer: Hannah Olson-Williams <hannaheow@gmail.com>
Description: Provides a simple interface to pull County Health Rankings & Roadmaps (CHR&R) county-level health data and metadata directly from 'Zenodo' <doi:10.5281/zenodo.18157681>. Users can retrieve data for CHR&R release years 2010 through 2025. CHR&R data support research and decision-making to promote health equity and policies that help all communities thrive.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/County-Health-Rankings-and-Roadmaps/countyhealthR
BugReports: https://github.com/County-Health-Rankings-and-Roadmaps/countyhealthR/issues
Imports: dplyr, magrittr, readr, httr, stringr, jsonlite, rappdirs, curl, rlang
Suggests: testthat, knitr, rmarkdown, covr
VignetteBuilder: knitr
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-02-21 05:15:41 UTC; holsonwillia
Author: Hannah Olson-Williams [aut, cre]
Repository: CRAN
Date/Publication: 2026-02-25 19:20:02 UTC

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New package bracketeer with initial version 0.1.1
Package: bracketeer
Title: Tournament Generator
Version: 0.1.1
Description: Create and manage tournament brackets for various competition formats including single elimination, double elimination, round robin, Swiss system, and group-stage-to-knockout tournaments. Provides tools for seeding, scheduling, recording results, and tracking standings.
URL: https://github.com/bbtheo/bracketeer, https://bbtheo.github.io/bracketeer/
BugReports: https://github.com/bbtheo/bracketeer/issues
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-21 10:44:47 UTC; theo
Author: Theo Blauberg [aut, cre, cph]
Maintainer: Theo Blauberg <theo.blauberg@outlook.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-02-25 19:20:07 UTC

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New package betaregscale with initial version 2.6.9
Package: betaregscale
Title: Beta Regression for Interval-Censored Scale-Derived Outcomes
Version: 2.6.9
Maintainer: Jose Evandeilton Lopes <evandeilton@gmail.com>
Description: Maximum-likelihood estimation of beta regression models for responses derived from bounded rating scales. Observations are treated as interval-censored on (0, 1) after a scale-to-unit transformation, and the likelihood is built from the difference of the beta CDF at the interval endpoints. The complete likelihood supports mixed censoring types: uncensored, left-censored, right-censored, and interval-censored observations. Both fixed- and variable-dispersion submodels are supported, with flexible link functions for the mean and precision components. A compiled C++ backend (via 'Rcpp' and 'RcppArmadillo') provides numerically stable, high-performance log-likelihood evaluation. Standard S3 methods (print(), summary(), coef(), fitted(), residuals(), predict(), plot(), confint(), vcov(), logLik(), AIC(), BIC()) are available for fitted objects.
License: MIT + file LICENSE
URL: https://evandeilton.github.io/betaregscale/
BugReports: https://github.com/evandeilton/betaregscale/issues
Depends: R (>= 4.1.0)
Imports: Formula, ggplot2, numDeriv, Rcpp (>= 1.0.12), rlang, stats
Suggests: betareg, gridExtra, knitr, MASS, rmarkdown, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-02-21 22:00:48 UTC; jlopes
Author: Jose Evandeilton Lopes [aut, cre] , Wagner Hugo Bonat [aut]
Repository: CRAN
Date/Publication: 2026-02-25 19:30:02 UTC

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New package tReeTraits with initial version 0.1.2
Package: tReeTraits
Title: Calculate Tree Traits from Terrestrial Lidar
Version: 0.1.2
Description: Measuring tree architecture from terrestrial lidar data, including tree-level properties, crown characteristics, and structural attributes derived from quantitative structure models (QSMs).
License: GPL-3
Encoding: UTF-8
Imports: data.table, lidR, dplyr, ggplot2, ggpubr, recexcavAAR, rlang, sf, spanner, terra, tibble, reticulate, CrownScorchTLS, FNN, alphashape3d, ggplotify, rgl, stats, stringr, readr
NeedsCompilation: no
Packaged: 2026-02-20 23:51:24 UTC; jeffery.cannon
Author: Jeffery B. Cannon [aut, cre]
Maintainer: Jeffery B. Cannon <jeffery.cannon@jonesctr.org>
Repository: CRAN
Date/Publication: 2026-02-25 19:00:02 UTC

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New package sqlfluffr with initial version 0.1.0
Package: sqlfluffr
Title: Wrapper to the 'SQL' Linter and Formatter 'sqlfluff'
Version: 0.1.0
Description: An R interface to the 'Python' 'sqlfluff' 'SQL' linter and formatter via the 'reticulate' package. Enables linting, fixing, and parsing of 'SQL' queries with support for multiple dialects. Includes special handling for 'glue' 'SQL' syntax with curly-brace placeholders.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: reticulate
Suggests: testthat (>= 3.2.0), glue, rstudioapi, withr
URL: https://github.com/brendensm/sqlfluffr
BugReports: https://github.com/brendensm/sqlfluffr/issues
NeedsCompilation: no
Packaged: 2026-02-20 20:49:41 UTC; b
Author: Brenden Smith [aut, cre, cph]
Maintainer: Brenden Smith <brendensmithmi@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-25 18:50:03 UTC

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New package dress.graph with initial version 0.1.2
Package: dress.graph
Title: Diffusive Recursive Structural Similarity on Graphs
Version: 0.1.2
Description: Compute per-edge similarity values on graphs using the DRESS (Diffusive Recursive Structural Similarity) algorithm. Supports weighted/unweighted and directed/undirected graphs. Iterative fixed-point fitting converges to stable edge scores that capture neighbourhood overlap structure.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: yes
SystemRequirements: OpenMP
Packaged: 2026-02-21 00:21:19 UTC; velic
Author: Eduar Castrillo Velilla [aut, cre]
Maintainer: Eduar Castrillo Velilla <velicast@outlook.com>
Repository: CRAN
Date/Publication: 2026-02-25 19:00:08 UTC

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New package hydrodownloadR with initial version 0.1.3
Package: hydrodownloadR
Title: Hydrologic Station Catalogs and Time Series from Public APIs
Version: 0.1.3
Description: Provides a unified, extensible interface to discover hydrologic stations and download daily time series (e.g., water discharge, water level, water temperature, and several other water quality parameter) from national and regional public APIs. Includes a provider registry, S3 generics 'stations' and 'timeseries', licensing metadata, date-range and 'complete history' modes, rate limiting and retries, optional authentication via environment variables, tidy outputs, UTF-8 to ASCII transliteration, and WGS84 coordinates. Designed for reproducible workflows and straightforward addition of new providers. Background and use cases are described in Farber et al. (2025) <doi:10.5194/essd-17-4613-2025> and Farber et al. (2023) <doi:10.57757/IUGG23-2838>.
License: MIT + file LICENSE
URL: https://bafg-bund.github.io/hydrodownloadR/, https://github.com/bafg-bund/hydrodownloadR
BugReports: https://github.com/bafg-bund/hydrodownloadR/issues
Depends: R (>= 4.1.0)
Imports: cli, dataRetrieval, DBI, dplyr, httr, httr2, jsonlite, lubridate, pdftools, progress, rappdirs, ratelimitr, rlang, RSQLite, sf, magrittr, tibble, cellranger, stringi, stringr
Suggests: odbc, purrr, readr, readxl, rvest, tidyr, tidyselect, xml2, cachem, curl, memoise, testthat (>= 3.0.0), writexl
Encoding: UTF-8
Language: en-US
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2026-02-20 08:32:10 UTC; Plessow
Author: Henning Plessow [aut, cre], Global Runoff Data Centre [ctb]
Maintainer: Henning Plessow <h.plessow@googlemail.com>
Repository: CRAN
Date/Publication: 2026-02-25 12:30:02 UTC

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New package strength with initial version 0.1.0
Package: strength
Title: Operations Designed for Tidy Strength Data
Version: 0.1.0
Description: Mappings for estimated one rep max from commonly used formulas. Convenience functions for turning mass/rep/set data into useful derived quantities.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1)
LazyData: true
Imports: cli, dplyr, tibble, tidyr
Suggests: testthat (>= 3.0.0)
URL: https://github.com/alexpaynter/strength
BugReports: https://github.com/alexpaynter/strength/issues
NeedsCompilation: no
Packaged: 2026-02-20 19:14:11 UTC; alex
Author: Alex Paynter [aut, cre, cph]
Maintainer: Alex Paynter <apaynter@pm.me>
Repository: CRAN
Date/Publication: 2026-02-25 10:40:02 UTC

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New package senseR with initial version 0.1.0
Package: senseR
Title: Proxy Indicator Diagnostic Tool for Analytical and Policy Use
Version: 0.1.0
Description: Provides statistical diagnostics to evaluate whether proxy indicators reliably represent an unobservable target construct. The main function 'senser()' assesses proxies across multiple dimensions including monotonicity, information content, stability, distributional alignment, and potential bias risk. It prints a concise, interpretable summary suitable for analytical and policy-oriented assessment, without claiming causal inference.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-20 08:14:35 UTC; BPS Prov Jawa Timur
Author: Joko Ade Nursiyono [aut, cre]
Maintainer: Joko Ade Nursiyono <jokoadenursiyono@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-25 10:10:02 UTC

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New package rtmpinvi with initial version 0.1.0
Package: rtmpinvi
Title: Interactive Tabular Matrix Problems via Pseudoinverse Estimation
Version: 0.1.0
Description: Provides an interactive wrapper for the 'tmpinv()' function from the 'rtmpinv' package with options extending its functionality to pre- and post-estimation processing and streamlined incorporation of prior cell information. The Tabular Matrix Problems via Pseudoinverse Estimation (TMPinv) is a two-stage estimation method that reformulates structured table-based systems - such as allocation problems, transaction matrices, and input-output tables - as structured least-squares problems. Based on the Convex Least Squares Programming (CLSP) framework, TMPinv solves systems with row and column constraints, block structure, and optionally reduced dimensionality by (1) constructing a canonical constraint form and applying a pseudoinverse-based projection, followed by (2) a convex-programming refinement stage to improve fit, coherence, and regularization (e.g., via Lasso, Ridge, or Elastic Net).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.2)
Imports: rtmpinv (>= 0.2.0)
Suggests: testthat (>= 3.0.0)
URL: https://github.com/econcz/rtmpinvi
BugReports: https://github.com/econcz/rtmpinvi/issues
NeedsCompilation: no
Packaged: 2026-02-20 15:27:13 UTC; ilyabolotov
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>
Repository: CRAN
Date/Publication: 2026-02-25 10:30:02 UTC

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New package ribiosPlot with initial version 1.3.0
Package: ribiosPlot
Title: Plotting Module of the 'ribios' Software Suite
Version: 1.3.0
Date: 2026-02-20
Description: Provides data structures and functions for data transformation and visualization in computational biology in drug discovery as part of the 'ribios' software suite. Zhang (2025) <https://github.com/bedapub/ribiosPlot>.
Depends: R (>= 3.4.0)
Imports: lattice, grDevices, RColorBrewer, grid, gridExtra, graphics, ribiosUtils, stats, ggplot2
Suggests: latticeExtra, ribiosArg, plotrix, MASS, testthat, knitr, rmarkdown
Enhances: Vennerable
License: GPL-3
URL: https://github.com/bedapub/ribiosPlot
BugReports: https://github.com/bedapub/ribiosPlot/issues
LazyLoad: yes
Encoding: UTF-8
Additional_repositories: https://bedapub.r-universe.dev
NeedsCompilation: no
Packaged: 2026-02-20 20:57:10 UTC; david
Author: Jitao David Zhang [aut, cre, ctb]
Maintainer: Jitao David Zhang <jitao_david.zhang@roche.com>
Repository: CRAN
Date/Publication: 2026-02-25 10:50:02 UTC

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New package phymapnet with initial version 0.1.2
Package: phymapnet
Title: Phylogeny-Guided Bayesian Microbial Network Inference
Version: 0.1.2
Description: Implements a phylogeny-aware Bayesian graphical modeling framework for microbial network inference using a shrinkage precision estimator guided by a phylogenetic kernel, with optional hyperparameter-ensemble edge reliability analysis.
License: GPL-3
Encoding: UTF-8
Imports: stats, ape, GUniFrac, compositions
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-02-20 07:54:36 UTC; rosa
Author: Rosa Aghdam [aut, cre]
Maintainer: Rosa Aghdam <rosaaghdam@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-25 10:10:07 UTC

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New package nnetLM with initial version 1.0.1
Package: nnetLM
Title: Neural Network with Levenberg-Marquardt Optimization
Version: 1.0.1
Description: An implementation of a Neural Network using the Levenberg-Marquardt optimization from 'minpack.lm', ideal for small datasets. For more details see Moré (1978) <doi:10.1007/BFb0067700>.
License: MIT + file LICENSE
BugReports: https://github.com/umbe1987/nnetLM/issues
Imports: minpack.lm, stats
Encoding: UTF-8
URL: https://github.com/umbe1987/nnetLM
NeedsCompilation: no
Packaged: 2026-02-20 11:00:06 UTC; minorum
Author: Umberto Minora [aut, cre, cph]
Maintainer: Umberto Minora <umbertofilippo@tiscali.it>
Repository: CRAN
Date/Publication: 2026-02-25 10:10:12 UTC

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New package MultiDiscreteRNG with initial version 0.1.0
Package: MultiDiscreteRNG
Title: Generate Multivariate Discrete Data
Version: 0.1.0
Maintainer: Chak Kwong (Tommy) Cheng <ccheng46@uic.edu>
Description: Generate multivariate discrete data with generalized Poisson, negative binomial and binomial marginal distributions using user-specified distribution parameters and a target correlation matrix. The method is described in Cheng and Demirtas (2026) <doi:10.48550/arXiv.2602.07707>.
License: GPL-3
Encoding: UTF-8
Imports: GenOrd, Matrix, MultiOrd, matrixcalc, mvtnorm
URL: https://github.com/ckchengtommy/MultiDiscreteRNG
BugReports: https://github.com/ckchengtommy/MultiDiscreteRNG/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-20 14:02:43 UTC; tommycheng
Author: Chak Kwong Cheng [aut, cre, cph] , Hakan Demirtas [aut]
Repository: CRAN
Date/Publication: 2026-02-25 10:20:19 UTC

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New package miapack with initial version 0.1.0
Package: miapack
Title: Marginalization over Incomplete Auxiliaries
Version: 0.1.0
Maintainer: Sean McGrath <sean.mcgrath514@gmail.com>
Description: Implements methods to estimate conditional outcome means in settings with missingness-not-at-random and incomplete auxiliary variables. Specifically, this package implements the marginalization over incomplete auxiliaries (MIA) method. The package supports continuous and binary outcomes, and supports auxiliary variables that are normal, binary, and categorical.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://github.com/stmcg/miapack
BugReports: https://github.com/stmcg/miapack/issues
Imports: boot, nnet, progress
Depends: R (>= 2.10)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-20 20:52:12 UTC; Sean
Author: Sean McGrath [aut, cre] , Shaun Seaman [aut] , Willi Zhang [aut] , Ilya Shpitser [aut] , Maya Mathur [aut]
Repository: CRAN
Date/Publication: 2026-02-25 10:50:08 UTC

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New package metasurvey with initial version 0.0.21
Package: metasurvey
Title: Reproducible Survey Data Processing with Step Pipelines
Version: 0.0.21
URL: https://metasurveyr.github.io/metasurvey/, https://github.com/metasurveyr/metasurvey
BugReports: https://github.com/metasurveyr/metasurvey/issues
Description: Provides a step-based pipeline for reproducible survey data processing, building on the 'survey' package for complex sampling designs. Supports rotating panels with bootstrap replicate weights, and provides a recipe system for sharing and reproducing data transformation workflows across survey editions.
License: GPL (>= 3)
Imports: data.table (>= 1.14.2), cli (>= 3.0.0), glue (>= 1.6.0), lifecycle (>= 1.0.0), jsonlite (>= 1.7.2), R6 (>= 2.5.0), survey (>= 4.2.1), methods
Suggests: archive, convey, httr2 (>= 1.0.0), haven, openxlsx, visNetwork (>= 2.0.9), roxygen2 (>= 7.1.2), testthat (>= 3.0.0), tibble (>= 3.1.3), dplyr (>= 1.0.7), knitr (>= 1.33), foreign (>= 0.8-81), rmarkdown (>= 2.11), parallel, rio (>= 0.5.27), here (>= 1.0.1), gt (>= 0.10.0), magrittr, shiny (>= 1.7.0), bslib (>= 0.5.0), bsicons (>= 0.1.0), htmltools (>= 0.5.0), xml2 (>= 1.3.0), eph, PNADcIBGE, ipumsr
Encoding: UTF-8
Depends: R (>= 4.1)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-20 17:09:34 UTC; mauroloprete
Author: Mauro Loprete [aut, cre] , Natalia da Silva [aut] , Fabricio Machado [aut]
Maintainer: Mauro Loprete <mauro.loprete@icloud.com>
Repository: CRAN
Date/Publication: 2026-02-25 10:30:07 UTC

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New package jmSurface with initial version 0.1.0
Package: jmSurface
Title: Semi-Parametric Association Surfaces for Joint Longitudinal-Survival Models
Version: 0.1.0
Description: Implements interpretable multi-biomarker fusion in joint longitudinal-survival models via semi-parametric association surfaces. Provides a two-stage estimation framework where Stage 1 fits mixed-effects longitudinal models and extracts Best Linear Unbiased Predictors ('BLUP's), and Stage 2 fits transition-specific penalized Cox models with tensor-product spline surfaces linking latent biomarker summaries to transition hazards. Supports multi-state disease processes with transition-specific surfaces, Restricted Maximum Likelihood ('REML') smoothing parameter selection, effective degrees of freedom ('EDF') diagnostics, dynamic prediction of transition probabilities, and three interpretability visualizations (surface plots, contour heatmaps, marginal effect slices). Methods are described in Bhattacharjee (2025, under review).
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: nlme, survival, mgcv, stats, utils, graphics, grDevices
Suggests: lme4, ggplot2, viridis, plotly, shiny, shinydashboard, dplyr, tidyr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-20 15:08:08 UTC; atanu
Author: Atanu Bhattacharjee [aut, cre]
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-25 10:20:02 UTC

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New package geographiclib with initial version 0.4.0
Package: geographiclib
Title: Access to 'GeographicLib'
Version: 0.4.0
Description: Bindings to the 'GeographicLib' C++ library <https://geographiclib.sourceforge.io/> for precise geodetic calculations including geodesic computations (distance, bearing, paths, intersections), map projections (UTM/UPS, Transverse Mercator, Lambert Conformal Conic, and more), grid reference systems (MGRS, Geohash, GARS, Georef), coordinate conversions (geocentric, local Cartesian), and polygon area on the WGS84 ellipsoid. All functions are fully vectorized.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: cpp11
URL: https://github.com/hypertidy/geographiclib
BugReports: https://github.com/hypertidy/geographiclib/issues
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: yes
Packaged: 2026-02-20 10:36:41 UTC; mdsumner
Author: Michael Sumner [cre, aut], Charles Karney [cph, aut] , Mark Borgerding [cph] )
Maintainer: Michael Sumner <mdsumner@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-25 10:10:17 UTC

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New package fiodata with initial version 0.0.1
Package: fiodata
Title: Regional and Multi-Regional Input-Output Data
Version: 0.0.1
Description: Provides Regional (Brazil, 2020) and Multi-Regional (World, 2000) input-output matrices for R. This package serves as a data-only companion to the 'fio' package, facilitating input-output analysis by providing standardized R6 data objects.
License: CC0
URL: https://github.com/albersonmiranda/fiodata
BugReports: https://github.com/albersonmiranda/fiodata/issues
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5.0)
Suggests: fio
NeedsCompilation: no
Packaged: 2026-02-20 20:03:03 UTC; albersonmiranda
Author: Alberson da Silva Miranda [aut, cre, cph] , Celso Bissoli Sessa [aut, dtc]
Maintainer: Alberson da Silva Miranda <albersonmiranda@hotmail.com>
Repository: CRAN
Date/Publication: 2026-02-25 10:40:07 UTC

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New package fastreg with initial version 0.8.17
Package: fastreg
Title: Fast Conversion and Querying of Danish Registers with 'Parquet'
Version: 0.8.17
Description: Converts large Danish register files ('sas7bdat') into 'Parquet' format with year-based 'Hive' partitioning and chunked reading for larger-than-memory files. Supports parallel conversion with a 'targets' pipeline and reading those registers into 'DuckDB' tables for faster querying and analyses.
License: MIT + file LICENSE
URL: https://dp-next.github.io/fastreg/ https://github.com/dp-next/fastreg
BugReports: https://github.com/dp-next/fastreg/issues
Depends: R (>= 4.1.0)
Imports: arrow, checkmate, cli, dplyr, fs, glue, haven, osdc, purrr, rlang, stringr, uuid
Suggests: crew, dbplyr, devtools, duckdb, qs2, quarto, targets, testthat (>= 3.0.0), tidyselect, withr
VignetteBuilder: quarto
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-02-20 10:32:41 UTC; au546191
Author: Signe Kirk Broedbaek [aut, cre] , Luke Johnston [aut] , Steno Diabetes Center Aarhus [cph], Aarhus University [cph]
Maintainer: Signe Kirk Broedbaek <signekb@clin.au.dk>
Repository: CRAN
Date/Publication: 2026-02-25 10:10:24 UTC

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New package dtms with initial version 0.4.2
Package: dtms
Title: Discrete-Time Multistate Models
Version: 0.4.2
Description: Discrete-time multistate models with a user-friendly workflow. The package provides tools for processing data, several ways of estimating parametric and nonparametric multistate models, and an extensive set of Markov chain methods which use transition probabilities derived from the multistate model. Some of the implemented methods are described in Schneider et al. (2024) <doi:10.1080/00324728.2023.2176535>, Dudel (2021) <doi:10.1177/0049124118782541>, Dudel & Myrskylä (2020) <doi:10.1186/s12963-020-00217-0>, van den Hout (2017) <doi:10.1201/9781315374321>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/christiandudel/dtms
BugReports: https://github.com/christiandudel/dtms/issues
Depends: R (>= 4.1.0)
Imports: mclogit, nnet, VGAM, doParallel, foreach, markovchain, methods
NeedsCompilation: no
Packaged: 2026-02-20 14:45:53 UTC; Dudel
Author: Christian Dudel [aut, cre]
Maintainer: Christian Dudel <dudel@demogr.mpg.de>
Repository: CRAN
Date/Publication: 2026-02-25 10:20:07 UTC

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New package bigMICE with initial version 1.0.0
Package: bigMICE
Title: Multiple Imputation of Big Data
Version: 1.0.0
Description: A computational toolbox designed for handling missing values in large datasets with the Multiple Imputation by Chained Equations (MICE) by using 'Apache Spark'. The methodology is described in Morvan et al. (2026) <doi:10.48550/arXiv.2601.21613>.
License: GPL (>= 2)
Encoding: UTF-8
SystemRequirements: Spark: 3.x, or 4.x
Imports: dplyr, tidyselect, rlang, sparklyr, data.table, Matrix
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-20 13:56:14 UTC; olesy12
Author: Hugo Morvan [aut], Oleg Sysoev [aut, cre]
Maintainer: Oleg Sysoev <oleg.sysoev@liu.se>
Repository: CRAN
Date/Publication: 2026-02-25 10:20:14 UTC

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New package bclogit with initial version 1.0
Package: bclogit
Title: Conditional Logistic Regression
Version: 1.0
Author: Adam Kapelner [aut, cre] , Jacob Tennenbaum [aut]
Maintainer: Adam Kapelner <kapelner@qc.cuny.edu>
Description: Performs inference for Bayesian conditional logistic regression with informative priors built from the concordant pair data. We include many options to build the priors. And we include many options during the inference step for estimation, testing and confidence set creation. For details, see Kapelner and Tennenbaum (2026) ``Improved Conditional Logistic Regression using Information in Concordant Pairs with Software'' <doi:10.48550/arXiv.2602.08212>.
SystemRequirements: GNU make
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0), Rcpp (>= 1.0.14)
Imports: checkmate, coda, fastLogisticRegressionWrap, geepack, glmmTMB, methods, RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.6.0)
Suggests: testthat (>= 3.0.0), survival, ggdist, data.table
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
URL: https://github.com/Tennenbaum-J/bclogit_package_and_paper_repo
BugReports: https://github.com/Tennenbaum-J/bclogit_package_and_paper_repo/issues
Biarch: true
NeedsCompilation: yes
Packaged: 2026-02-20 00:56:31 UTC; kapelner
Repository: CRAN
Date/Publication: 2026-02-25 10:00:14 UTC

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Tue, 24 Feb 2026

New package rgph with initial version 0.1.0
Package: rgph
Title: Pair Critical Points and Compute Persistent Homology of Reeb Graphs
Version: 0.1.0
Description: Interface to the 'ReebGraphPairing' program to compute critical points of Reeb graphs following Tu, Hajij, & Rosen (2019) <doi:10.1007/978-3-030-33720-9_8> via the 'rJava' package. Also store Reeb graphs in a minimal S3 class, convert between other network data structures, and post-process pairing data to obtain extended persistent homology following Carrière & Oudot (2018) <doi:10.1007/s10208-017-9370-z>.
Depends: R (>= 2.7.0), rJava (>= 0.5-0), phutil
Suggests: rlang, tinytest, igraph (>= 0.6-0), network (>= 1.19.0), knitr, rmarkdown, dplyr, tidyr, scales, ggplot2, bench
SystemRequirements: Java (>= 5.0)
License: GPL-3
Repository: CRAN
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-19 17:32:39 UTC; jason.brunson
Author: Satyajit Mohanty [aut], Shubham Singh [aut], Jason Cory Brunson [aut, cre] , Paul Rosen [cph, ctb] , Junyi Tu [cph, ctb]
Maintainer: Jason Cory Brunson <cornelioid@gmail.com>
Date/Publication: 2026-02-24 19:30:02 UTC

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New package pbiparams with initial version 0.1.0
Package: pbiparams
Title: Safe Parameter Extraction for Power BI R Scripts
Version: 0.1.0
Description: Safely extracts and coerces values from a Power BI parameter table (one row, multiple columns) without string concatenation or injection of raw values into scripts.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-19 14:11:40 UTC; chris
Author: Chris Aragao [aut, cre]
Maintainer: Chris Aragao <Christopher.Aragao@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-24 19:10:02 UTC

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New package Inflongitudinal with initial version 0.1.0
Package: Inflongitudinal
Title: Detecting Influential Subjects in Longitudinal Data
Version: 0.1.0
Description: Provides methods for detecting influential subjects in longitudinal data, particularly when observations are collected at irregular time points. The package identifies subjects whose response trajectories deviate substantially from population-level patterns, helping to diagnose anomalies and undue influence on model estimates.
Imports: ggplot2, dplyr, mice
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-02-19 17:00:23 UTC; Tanmoy
Author: Atanu Bhattacharjee [aut], Tanmoy Majumdar [aut, cre], Gajendra Kumar Vishwakarma [aut]
Maintainer: Tanmoy Majumdar <tanmoy.stat.ku@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-24 19:20:15 UTC

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New package bfbin2arm with initial version 0.1.0
Package: bfbin2arm
Title: Bayesian Bayes Factor Design for Two-Arm Binomial Trials
Version: 0.1.0
Description: Design and analysis of two-arm binomial clinical (phase II) trials using Bayes factors. Implements Bayes factors for point-null and directional hypotheses, predictive densities under different hypotheses, and power and sample size calibration with optional frequentist type-I error and power.
Depends: R (>= 4.0.0)
Imports: stats, VGAM, ggplot2, dplyr, patchwork
Suggests: knitr, rmarkdown
License: GPL-3
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-19 15:23:34 UTC; riko
Author: Riko Kelter [aut, cre]
Maintainer: Riko Kelter <rkelter@uni-koeln.de>
Repository: CRAN
Date/Publication: 2026-02-24 19:20:02 UTC

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New package aridagri with initial version 2.0.3
Package: aridagri
Title: Comprehensive Statistical Tools for Agricultural Research
Version: 2.0.3
Description: A comprehensive suite of statistical and analytical tools for agricultural research. Includes complete analysis of variance (ANOVA) functions for all experimental designs: Completely Randomized Design (CRD), Randomized Block Design (RBD), Pooled RBD, Split Plot with all variations, Split-Split Plot, Strip Plot, Latin Square, Factorial, Augmented, and Alpha Lattice, with proper error terms and comprehensive Standard Error (SE) and Critical Difference (CD) calculations. Features multiple post-hoc tests: Least Significant Difference (LSD), Duncan Multiple Range Test (DMRT), Tukey Honestly Significant Difference (HSD), Student-Newman-Keuls (SNK), Scheffe, Bonferroni, and Dunnett, along with assumption checking and publication-ready output. Advanced methods include stability analysis using Eberhart-Russell regression, Additive Main Effects and Multiplicative Interaction (AMMI), Finlay-Wilkinson regression, Shukla stability variance, Wricke ecovalence, Coefficient of Variation (CV), and Cult [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Suggests: ggplot2, dplyr, tidyr, emmeans, multcomp, corrplot, factoextra, FactoMineR, lavaan, semPlot, agricolae, car, writexl, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/lalitrolaniya/aridagri
BugReports: https://github.com/lalitrolaniya/aridagri/issues
NeedsCompilation: no
Packaged: 2026-02-19 16:14:41 UTC; lalitrolaniya
Author: Lalit Kumar Rolaniya [aut, cre] , Ram Lal Jat [aut] , Monika Punia [aut] , Raja Ram Choudhary [aut]
Maintainer: Lalit Kumar Rolaniya <lalitrolaniya@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-24 19:20:08 UTC

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Mon, 23 Feb 2026

New package sdf.test with initial version 0.0.1.0
Package: sdf.test
Title: Nonparametric Two Sample Test for Equality of Spectral Densities
Version: 0.0.1.0
Description: Nonparametric method for testing the equality of the spectral densities of two time series of possibly different lengths. The time series are preprocessed with the discrete cosine transform and the variance stabilising transform to obtain an approximate Gaussian regression setting for the log-spectral density function. The test statistic is based on the squared L2 norm of the difference between the estimated log-spectral densities. The test returns the result, the statistic value, and the p-value. It also provides the estimated empirical quantile and null distribution under the hypothesis of equal spectral densities. An example using EEG data is included. For details see Nadin, Krivobokova, Enikeeva (2026), <doi:10.48550/arXiv.2602.10774>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: dtt, stats
Suggests: doParallel, foreach, parallel, testthat (>= 3.0.0)
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-02-19 10:29:13 UTC; nadin
Author: Ilaria Nadin [aut, cre], Tatyana Krivobokova [aut], Farida Enikeeva [aut], Karolina Klockmann [aut]
Maintainer: Ilaria Nadin <ilaria.nadin@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-23 17:00:02 UTC

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New package ggInterval with initial version 0.2.4
Package: ggInterval
Title: Visualizing Interval-Valued Data using 'ggplot2'
Version: 0.2.4
Date: 2026-02-19
Author: Bo-Syue Jiang [aut], Han-Ming Wu [cre]
Maintainer: Han-Ming Wu <wuhm@g.nccu.edu.tw>
Description: Implements an extension of 'ggplot2' (formerly 'ggESDA') and visualizes symbolic interval-valued data with various plots, offering more general and flexible input arguments. Additionally, it provides a function to transform classical data into symbolic data using both clustering algorithms and customized methods.
Depends: ggplot2, R (>= 4.4.0), tidyverse, RSDA
Suggests: testthat (>= 2.1.0), knitr, rmarkdown
Imports: rlang, R6, dplyr, tidyr, gridExtra, gtools, stringr, prodlim, ggforce, ggpubr, ggthemes, tibble, magrittr, vctrs
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
URL: https://github.com/hanmingwu1103/ggInterval, https://CRAN.R-project.org/package=ggInterval
BugReports: https://github.com/hanmingwu1103/ggInterval/issues
NeedsCompilation: no
Packaged: 2026-02-18 20:14:05 UTC; hmwu
Repository: CRAN
Date/Publication: 2026-02-23 16:50:07 UTC

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New package sunburstShinyWidget with initial version 0.5.0
Package: sunburstShinyWidget
Title: Sunburst 'HTML' Widget Based on 'd3.js'
Version: 0.5.0
Description: Provides a sunburst plot based on the 'd3.js' library as an HTML 'shiny' widget.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: shiny
Imports: htmlwidgets, tidyr, bslib, glue, DT, tibble, dplyr, purrr, scales, waiter
Suggests: jsonlite, testthat (>= 3.0.0), covr, mockery, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-18 20:54:20 UTC; foltynsk
Author: Kamil Foltynski [aut, cre]
Maintainer: Kamil Foltynski <kamil@foltynski.com>
Repository: CRAN
Date/Publication: 2026-02-23 09:30:02 UTC

More information about sunburstShinyWidget at CRAN
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New package ort with initial version 0.1.0
Package: ort
Title: Create a Data Frame Representation of an Image
Version: 0.1.0
Description: Takes images, imported via 'imager', and converts them into a data frame that can be plotted to look like the imported image. This can be used for creating data that looks like a specific image. Additionally, images with color and alpha channels can be converted to grayscale in preparation for converting to the data frame format.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: magrittr, imager
NeedsCompilation: no
Packaged: 2026-02-19 02:26:01 UTC; EthanBrown
Author: Falling Pineapples [aut] , Ethan C. Brown [cre]
Maintainer: Ethan C. Brown <ethancbrown@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-23 09:50:02 UTC

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New package MVNGmod with initial version 0.1.0
Package: MVNGmod
Title: Matrix-Variate Non-Gaussian Linear Regression Models
Version: 0.1.0
Maintainer: Samuel Soon <samksoon2@gmail.com>
Description: An implementation of the expectation conditional maximization (ECM) algorithm for matrix-variate variance gamma (MVVG) and normal-inverse Gaussian (MVNIG) linear models. These models are designed for settings of multivariate analysis with clustered non-uniform observations and correlated responses. The package includes fitting and prediction functions for both models, and an example dataset from a periodontal on Gullah-speaking African Americans, with responses in 'gaad_res', and covariates in 'gaad_cov'. For more details on the matrix-variate distributions used, see Gallaugher & McNicholas (2019) <doi:10.1016/j.spl.2018.08.012>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: Bessel, clusterGeneration, DistributionUtils, matlib, maxLik, truncnorm, pracma
URL: https://github.com/soonsk-vcu/MVNGmod
BugReports: https://github.com/soonsk-vcu/MVNGmod/issues
NeedsCompilation: no
Packaged: 2026-02-18 21:35:46 UTC; soonsk
Author: Samuel Soon [aut, cre], Dipankar Bandyopadhyay [aut], Qingyang Liu [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-02-23 09:40:02 UTC

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New package maidr with initial version 0.1.2
Package: maidr
Title: Multimodal Access and Interactive Data Representation
Version: 0.1.2
URL: https://github.com/xability/r-maidr, https://r.maidr.ai/
BugReports: https://github.com/xability/r-maidr/issues
Description: Provides accessible, interactive visualizations through the 'MAIDR' (Multimodal Access and Interactive Data Representation) system. Converts 'ggplot2' and Base R plots into accessible HTML/SVG formats with keyboard navigation, screen reader support, and 'sonification' capabilities. Supports bar charts (simple, grouped, stacked), histograms, line plots, scatter plots, box plots, heat maps, density/smooth curves, faceted plots, multi-panel layouts (including patchwork), and multi-layered plot combinations. Enables data exploration for users with visual impairments through multiple sensory modalities. For more details see the 'MAIDR' project <https://maidr.ai/>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: base64enc, curl, ggplot2, ggplotify, grid, gridSVG, htmltools, htmlwidgets, jsonlite, shiny, xml2, rlang, R6
Suggests: testthat (>= 3.0.0), lintr, styler, goodpractice, cyclocomp, knitr, rmarkdown, patchwork
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-18 20:43:48 UTC; niranjank
Author: JooYoung Seo [aut, cph], Niranjan Kalaiselvan [aut, cre]
Maintainer: Niranjan Kalaiselvan <nk46@illinois.edu>
Repository: CRAN
Date/Publication: 2026-02-23 09:30:07 UTC

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New package Rduckhts with initial version 0.1.2-0.1.4
Package: Rduckhts
Title: 'DuckDB' High Throughput Sequencing File Formats Reader Extension
Version: 0.1.2-0.1.4
Description: Bundles the 'duckhts' 'DuckDB' extension for reading High Throughput Sequencing file formats with 'DuckDB'. The 'DuckDB' C extension API <https://duckdb.org/docs/stable/clients/c/api> and its 'htslib' dependency are compiled from vendored sources during package installation. James K Bonfield and co-authors (2021) <doi:10.1093/gigascience/giab007>.
License: GPL-3
Copyright: See inst/COPYRIGHT
Encoding: UTF-8
SystemRequirements: GNU make, cmake, zlib, libbz2, liblzma, libcurl, openssl (development headers)
Depends: R (>= 4.4.0)
Imports: DBI, duckdb, utils
Suggests: tinytest
URL: https://github.com/RGenomicsETL/duckhts
BugReports: https://github.com/RGenomicsETL/duckhts/issues
NeedsCompilation: no
Packaged: 2026-02-18 11:57:11 UTC; stoure
Author: Sounkou Mahamane Toure [aut, cre], James K Bonfield, John Marshall,Petr Danecek ,Heng Li , Valeriu Ohan, Andrew Whitwham,Thomas Keane , Robert M Davies [ctb] , DuckDB C Extension API Authors [ctb]
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-23 09:00:07 UTC

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Fri, 20 Feb 2026

New package wid with initial version 0.0.1
Package: wid
Title: Download Data from the World Inequality Database
Version: 0.0.1
Author: Thomas Blanchet [aut], Ignacio Flores [cre]
Maintainer: Ignacio Flores <stats@wid.world>
Description: Tools to download data from the online World Inequality Database directly into R. The World Inequality Database is an extensive source on the historical evolution of the distribution of income and wealth both within and between countries. It relies on the combined effort of an international network of over a hundred researchers covering more than seventy countries from all continents.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: httr (>= 1.2.1), base64enc (>= 0.1), plyr (>= 1.8.4), jsonlite (>= 1.6.1)
Suggests: testthat (>= 1.0.2), knitr (>= 1.16), rmarkdown (>= 1.6), dplyr (>= 1.0.0), ggplot2 (>= 2.2.1), scales (>= 0.4.1), tidyverse (>= 1.1.1)
NeedsCompilation: no
Packaged: 2026-02-18 14:07:13 UTC; iflores
Repository: CRAN
Date/Publication: 2026-02-20 11:20:02 UTC

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New package VectrixDB with initial version 1.1.2
Package: VectrixDB
Title: Lightweight Vector Database with Embedded Machine Learning Models
Version: 1.1.2
Author: Kwadwo Daddy Nyame Owusu Boakye [aut, cre]
Maintainer: Kwadwo Daddy Nyame Owusu Boakye <kwadwo.owusuboakye@outlook.com>
Description: A lightweight vector database for text retrieval in R with embedded machine learning models and no external API (Application Programming Interface) keys. Supports dense and hybrid search, optional HNSW (Hierarchical Navigable Small World) approximate nearest-neighbor indexing, faceted filters with ACL (Access Control List) metadata, command-line tools, and a local dashboard built with 'shiny'. The HNSW method is described by Malkov and Yashunin (2018) <doi:10.1109/TPAMI.2018.2889473>.
License: Apache License (>= 2)
Encoding: UTF-8
Imports: R6, jsonlite, digest, Matrix, text2vec (>= 0.6.0), stopwords, tools, utils, stats, RSQLite, DBI
Suggests: testthat (>= 3.0.0), shiny, plumber, pkgdown, RcppAnnoy, reticulate, rappdirs
URL: https://knowusuboaky.github.io/vectrixdb-r/, https://github.com/knowusuboaky/vectrixdb-r
BugReports: https://github.com/knowusuboaky/vectrixdb-r/issues
NeedsCompilation: no
Packaged: 2026-02-18 19:10:48 UTC; kwadw
Repository: CRAN
Date/Publication: 2026-02-20 11:40:19 UTC

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New package rjd3providers with initial version 3.6.0
Package: rjd3providers
Title: Interface to 'JDemetra+' 3.x Time Series Analysis Software
Version: 3.6.0
Description: Interface to 'JDemetra+' 3.x (<https://github.com/jdemetra>) time series analysis software. It offers full access to txt, csv, xml and spreadsheets files which are meant to be read by 'JDemetra+' Graphical User Interface.
License: EUPL
URL: https://github.com/rjdverse/rjd3providers, https://rjdverse.github.io/rjd3providers/
BugReports: https://github.com/rjdverse/rjd3providers/issues
Depends: R (>= 4.1.0)
Imports: rJava (>= 1.0-6), rjd3toolkit (>= 3.6.0), rjd3jars
Encoding: UTF-8
SystemRequirements: Java (>= 17)
NeedsCompilation: no
Packaged: 2026-02-18 12:22:54 UTC; UTENTE
Author: Jean Palate [aut], Alessandro Piovani [aut, cre], Tanguy Barthelemy [ctb, art]
Maintainer: Alessandro Piovani <alessandro.piovani@istat.it>
Repository: CRAN
Date/Publication: 2026-02-20 11:20:08 UTC

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New package r4subdata with initial version 0.1.0
Package: r4subdata
Title: Example Datasets for Clinical Submission Readiness
Version: 0.1.0
Description: Provides realistic synthetic example datasets for the R4SUB (R for Regulatory Submission) ecosystem. Includes a pharma study evidence table, ADaM (Analysis Data Model) and SDTM (Study Data Tabulation Model) metadata following CDISC (Clinical Data Interchange Standards Consortium) conventions (<https://www.cdisc.org>), traceability mappings, a risk register based on ICH (International Council for Harmonisation) Q9 quality risk management principles (<https://www.ich.org/page/quality-guidelines>), and regulatory indicator definitions. Designed for demos, vignettes, and package testing.
License: MIT + file LICENSE
URL: https://github.com/R4SUB/r4subdata
BugReports: https://github.com/R4SUB/r4subdata/issues
Depends: R (>= 4.2)
Imports: tibble
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-02-18 17:44:18 UTC; aeroe
Author: Pawan Rama Mali [aut, cre, cph]
Maintainer: Pawan Rama Mali <prm@outlook.in>
Repository: CRAN
Date/Publication: 2026-02-20 11:40:02 UTC

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New package r4subcore with initial version 0.1.0
Package: r4subcore
Title: Core Data Contracts, Parsers, and Scoring Primitives for Clinical Submission Readiness
Version: 0.1.0
Description: Foundational package in the R4SUB (R for Regulatory Submission) ecosystem. Defines the core evidence table schema, parsers, indicator abstractions, and scoring primitives needed to quantify clinical submission readiness. Provides a standardized contract for ingesting heterogeneous sources (validation outputs, metadata, traceability) into a single evidence framework.
License: MIT + file LICENSE
URL: https://github.com/R4SUB/r4subcore
BugReports: https://github.com/R4SUB/r4subcore/issues
Depends: R (>= 4.2)
Imports: cli, jsonlite, rlang, stats
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-02-18 17:29:11 UTC; aeroe
Author: Pawan Rama Mali [aut, cre, cph]
Maintainer: Pawan Rama Mali <prm@outlook.in>
Repository: CRAN
Date/Publication: 2026-02-20 11:40:07 UTC

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New package PSRICalcSM with initial version 1.0.0
Package: PSRICalcSM
Title: Plant Stress Response Index Calculator - Softmax Method
Version: 1.0.0
Description: Implements the softmax aggregation method for calculating Plant Stress Response Index (PSRI) from time-series germination data under environmental stressors including prions, xenobiotics, osmotic stress, heavy metals, and chemical contaminants. Provides zero-robust PSRI computation through adaptive softmax weighting of germination components (Maximum Stress-adjusted Germination, Maximum Rate of Germination, complementary Mean Time to Germination, and Radicle Vigor Score), eliminating the zero-collapse failure mode of the geometric mean approach implemented in 'PSRICalc'. Includes perplexity-based temperature parameter calibration and modular component functions for transparent germination analysis. Built on the methodological foundation of the Osmotic Stress Response Index (OSRI) framework developed by Walne et al. (2020) <doi:10.1002/agg2.20087>. Note: This package implements methodology currently under peer review. Please contact the author before publication using this approac [...truncated...]
License: MIT + file LICENSE
Depends: R (>= 4.0.0)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
URL: https://github.com/RFeissIV/PSRICalcSM
BugReports: https://github.com/RFeissIV/PSRICalcSM/issues
NeedsCompilation: no
Packaged: 2026-02-18 15:58:06 UTC; feiss026
Author: Richard Feiss [aut, cre] , University of Minnesota [cph]
Maintainer: Richard Feiss <feiss026@umn.edu>
Repository: CRAN
Date/Publication: 2026-02-20 11:30:07 UTC

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New package TrustworthyMLR with initial version 0.1.0
Package: TrustworthyMLR
Title: Stability and Robustness Evaluation for Machine Learning Models
Version: 0.1.0
Description: Provides tools for evaluating the trustworthiness of machine learning models in production and research settings. Computes a Stability Index that quantifies the consistency of model predictions across multiple runs or resamples, and a Robustness Score that measures model resilience under small input perturbations. Designed for data scientists, ML engineers, and researchers who need to monitor and ensure model reliability, reproducibility, and deployment readiness.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-18 07:30:22 UTC; Ali Hamza
Author: Ali Hamza [aut, cre]
Maintainer: Ali Hamza <ahamza.msse25mcs@student.nust.edu.pk>
Repository: CRAN
Date/Publication: 2026-02-20 10:40:36 UTC

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New package tipitaka.critical with initial version 1.0.0
Package: tipitaka.critical
Title: Lemmatized Critical Edition of the Pali Canon
Version: 1.0.0
Description: A lemmatized critical edition of the complete Pali Canon (Tipitaka), the canonical scripture of Theravadin Buddhism. Based on a five-witness collation of the Pali Text Society (PTS) edition (via 'GRETIL'), 'SuttaCentral', the Vipassana Research Institute (VRI) Chattha Sangayana edition, the Buddha Jayanti Tipitaka (BJT), and the Thai Royal Edition. All text is lemmatized using the 'Digital Pali Dictionary', grouping inflected forms by dictionary headword. Covers all three pitakas (Sutta, Vinaya, Abhidhamma) with 5,777 individual text units. The companion package 'tipitaka' provides the original VRI edition data and Pali text tools. For background on the collation method, see Zigmond (2026) <https://github.com/dangerzig/tipitaka.critical>.
URL: https://github.com/dangerzig/tipitaka.critical
BugReports: https://github.com/dangerzig/tipitaka.critical/issues
License: CC0
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5), Matrix
Suggests: dplyr, knitr, rmarkdown, testthat (>= 3.0.0), tidyr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-02-17 22:38:01 UTC; danzigmond
Author: Dan Zigmond [aut, cre]
Maintainer: Dan Zigmond <djz@shmonk.com>
Repository: CRAN
Date/Publication: 2026-02-20 10:20:02 UTC

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New package tinyimg with initial version 0.2
Package: tinyimg
Title: Optimize and Compress Images
Version: 0.2
Description: Optimize and compress images using 'Rust' libraries to reduce file sizes while maintaining image quality. Currently supports lossless PNG optimization via the 'oxipng' crate. The package provides functions to optimize individual image files or entire directories, with configurable compression levels to balance between file size reduction and processing speed.
License: MIT + file LICENSE
URL: https://github.com/yihui/tinyimg
BugReports: https://github.com/yihui/tinyimg/issues
SystemRequirements: Cargo (Rust's package manager), rustc
Encoding: UTF-8
Suggests: testit
NeedsCompilation: yes
Packaged: 2026-02-18 05:57:22 UTC; yihui
Author: Yihui Xie [aut, cre, cph] , Authors of the dependency Rust crates [ctb, cph]
Maintainer: Yihui Xie <xie@yihui.name>
Repository: CRAN
Date/Publication: 2026-02-20 10:30:02 UTC

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New package TimeTraits with initial version 1.1.0
Package: TimeTraits
Title: Functional Data Analysis Pipeline, Extracting Functional Traits from Biological Time-Series Data
Version: 1.1.0
Description: Provides a pipeline of tools for analysing circadian time-series data using functional data analysis (FDA). The package supports smoothing of rhythmic time series, functional principle component analysis (FPCA), and extraction of group-level traits from functional representations. Analyses can incorporate multiple curve derivatives and optional temporal segmentation, enabling comparative analysis of circadian dynamics across experimental groups and time windows.
URL: https://github.com/scllock/TimeTraits
BugReports: https://github.com/scllock/TimeTraits/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, pracma, lomb, fda, fdaoutlier
LazyData: true
NeedsCompilation: no
Packaged: 2026-02-18 06:02:16 UTC; sarahlock
Author: Sarah Lock [aut, cre]
Maintainer: Sarah Lock <sarah.lock@york.ac.uk>
Repository: CRAN
Date/Publication: 2026-02-20 10:30:20 UTC

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New package sparselu with initial version 0.2.0
Package: sparselu
Title: Sparse LU Decomposition via SuiteSparse
Version: 0.2.0
Maintainer: Kevin Michael Frick <kmfrick@proton.me>
Description: Provides an interface to the SuiteSparse UMFPACK LU factorisation routines for sparse matrices stored in compressed column format. Implements the algorithm described in Davis (2004) <doi:10.1145/992200.992206>.
License: GPL-3
Depends: R (>= 3.6.0)
LinkingTo: Rcpp
SystemRequirements: SuiteSparse (UMFPACK, AMD, SuiteSparse_config)
Imports: Rcpp (>= 0.11.0)
Suggests: Matrix, testthat (>= 3.0.0)
Encoding: UTF-8
OS_type: unix
NeedsCompilation: yes
Packaged: 2026-02-18 09:01:31 UTC; kmfrick
Author: Kevin Michael Frick [aut, cre], Timothy A. Davis [ctb] , pattern = "License", full.names = TRUE, recursive = TRUE))
Repository: CRAN
Date/Publication: 2026-02-20 10:40:02 UTC

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New package ribiosIO with initial version 1.1.0
Package: ribiosIO
Title: Input/Output Utilities of the 'ribios' Suite
Version: 1.1.0
Date: 2026-01-24
Description: Provides data structures and functions for file input/output in the 'ribios' software suite, supporting common bioinformatics and computational biology file formats, designed for fast loading and high performance with minimal dependencies.
Depends: R (>= 3.4.0)
Imports: ribiosUtils, methods, utils
Suggests: testthat
License: GPL-3
URL: https://github.com/bedapub/ribiosIO
BugReports: https://github.com/bedapub/ribiosIO/issues
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-02-18 09:08:49 UTC; david
Author: Jitao David Zhang [aut, cre, ctb] , Balazs Banfai [ctb], F.Hoffmann-La Roche AG [cph]
Maintainer: Jitao David Zhang <jitao_david.zhang@roche.com>
Repository: CRAN
Date/Publication: 2026-02-20 10:40:07 UTC

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New package ribiosGraph with initial version 1.1.0
Package: ribiosGraph
Title: Manipulate and Visualize Graphs in the 'ribios' Software Suite
Version: 1.1.0
Date: 2026-01-24
Description: Tools to manipulate and visualize graphs (networks) for computational biology in drug discovery, for instance functions for creating bipartite graphs and for interactive visualizations. Zhang (2025) <https://github.com/bedapub/ribiosGraph>.
Depends: R (>= 3.4.0), igraph
Imports: magrittr, plotly, ribiosUtils
Suggests: testthat
License: GPL-3
URL: https://github.com/bedapub/ribiosGraph
BugReports: https://github.com/bedapub/ribiosGraph/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-02-18 09:20:43 UTC; david
Author: Jitao David Zhang [aut, cre]
Maintainer: Jitao David Zhang <jitao_david.zhang@roche.com>
Repository: CRAN
Date/Publication: 2026-02-20 10:40:14 UTC

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New package ribiosArg with initial version 1.5.0
Package: ribiosArg
Title: Argument Handling for Command-Line, Stand-Alone R Scripts
Version: 1.5.0
Date: 2026-01-24
Description: Provides functions to handle command-line arguments for R scripting. It enables building stand-alone R programs that accept and parse command-line options in 'BIOS' style. Zhang (2025) <https://github.com/bedapub/ribiosArg>.
Depends: R (>= 3.4.0), ribiosUtils
LinkingTo: ribiosUtils
Imports: utils
Suggests: testthat
License: GPL-3
URL: https://github.com/bedapub/ribiosArg
BugReports: https://github.com/bedapub/ribiosArg/issues
Encoding: UTF-8
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2026-02-18 09:32:43 UTC; david
Author: Jitao David Zhang [aut, cre, ctb] , Balazs Banfai [ctb]
Maintainer: Jitao David Zhang <jitao_david.zhang@roche.com>
Repository: CRAN
Date/Publication: 2026-02-20 10:40:20 UTC

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New package nadir with initial version 0.0.1
Package: nadir
Title: Super Learning with Flexible Formulas
Version: 0.0.1
Description: A functional programming based implementation of the super learner algorithm with an emphasis on supporting the use of formulas to specify learners. This approach offers several improvements compared to past implementations including the ability to easily use random-effects specified in formulas (like y ~ (age | strata) + ...) and construction of new learners is as simple as writing and passing a new function. The super learner algorithm was originally described in van der Laan et al. (2007) <https://biostats.bepress.com/ucbbiostat/paper222/>.
License: MIT + file LICENSE
Depends: R (>= 4.2.0)
Encoding: UTF-8
Suggests: MASS, ggplot2, knitr, palmerpenguins, rmarkdown, survival, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
URL: https://ctesta01.github.io/nadir/, https://github.com/ctesta01/nadir/
BugReports: https://github.com/ctesta01/nadir/issues
Imports: dplyr, earth, future, future.apply, gbm, glmnet, hal9001, lifecycle, lme4, methods, mgcv, nnet, nnls, origami, randomForest, ranger, tibble, tidyr, VGAM, xgboost
NeedsCompilation: no
Packaged: 2026-02-18 00:35:22 UTC; cht180
Author: Christian Testa [aut, cre] , Nima Hejazi [ths, aut]
Maintainer: Christian Testa <ctesta@hsph.harvard.edu>
Repository: CRAN
Date/Publication: 2026-02-20 10:30:07 UTC

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New package LifeTableBuilder with initial version 0.1.2
Package: LifeTableBuilder
Title: Interactive 'shiny' Application for Constructing Life Tables
Version: 0.1.2
Description: Provides an interactive 'shiny' application to construct stage-structured life tables from tabular input data. The application includes input validation, demographic calculations, visualization tools, and export of tables and figures to support reproducible workflows in ecological and entomological studies. Methods for life table construction follow classical demographic approaches described in Martinez (2015) <doi:10.13140/RG.2.2.21333.65760>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: shiny, DT, ggplot2, readxl, gridExtra
Suggests: testthat (>= 3.0.0)
URL: https://github.com/almarazkrae-4081/lifetablebuilder
BugReports: https://github.com/almarazkrae-4081/lifetablebuilder/issues
NeedsCompilation: no
Packaged: 2026-02-17 23:04:54 UTC; rosy_
Author: Victor Manuel Almaraz Valle [aut, cre], J. Concepcion Rodriguez Maciel [aut], Gustavo Ramirez Valverde [aut], Carlos Eduardo Aguilar Castillo [aut]
Maintainer: Victor Manuel Almaraz Valle <almarazkrae@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-20 10:20:21 UTC

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New package ibger with initial version 0.1.0
Package: ibger
Title: Access the 'IBGE' Aggregate Data API from 'R'
Version: 0.1.0
Description: 'Tidyverse'-friendly interface to the Brazilian Institute of Geography and Statistics ('IBGE') aggregate data 'API' <https://servicodados.ibge.gov.br/api/docs/agregados?versao=3>. Query aggregates, variables, localities, periods, and metadata from surveys and censuses conducted by 'IBGE'.
License: MIT + file LICENSE
URL: https://github.com/StrategicProjects/ibger
BugReports: https://github.com/StrategicProjects/ibger/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: httr2 (>= 1.0.0), cli (>= 3.6.0), tibble, purrr, dplyr, rlang, glue
Suggests: knitr, rmarkdown, pkgdown, ggplot2, tidyr, shiny (>= 1.8.0), DT, bslib (>= 0.6.0), bsicons, rstudioapi
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-17 23:17:08 UTC; leite
Author: Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Carlos Amorin [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-02-20 10:20:15 UTC

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New package deadwood with initial version 0.9.0-2
Package: deadwood
Title: Outlier Detection via Trimming of Mutual Reachability Minimum Spanning Trees
Version: 0.9.0-2
Date: 2026-02-18
Description: Implements an anomaly detection algorithm based on mutual reachability minimum spanning trees: 'deadwood' trims protruding tree segments and marks small debris as outliers; see Gagolewski (2026) <https://deadwood.gagolewski.com/>. More precisely, the use of a mutual reachability distance pulls peripheral points farther away from each other. Tree edges with weights beyond the detected elbow point are removed. All the resulting connected components whose sizes are smaller than a given threshold are deemed anomalous. The 'Python' version of 'deadwood' is available via 'PyPI'.
BugReports: https://github.com/gagolews/deadwood/issues
URL: https://deadwood.gagolewski.com/, https://github.com/gagolews/deadwood
License: AGPL-3
Imports: Rcpp, quitefastmst
Suggests: datasets,
LinkingTo: Rcpp
Encoding: UTF-8
SystemRequirements: OpenMP
NeedsCompilation: yes
Packaged: 2026-02-18 09:57:48 UTC; gagolews
Author: Marek Gagolewski [aut, cre, cph]
Maintainer: Marek Gagolewski <marek@gagolewski.com>
Repository: CRAN
Date/Publication: 2026-02-20 10:50:02 UTC

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New package csdm with initial version 1.0.0
Package: csdm
Title: Cross-Sectional Dependence Models
Version: 1.0.0
Depends: R (>= 4.0.0)
Imports: MASS
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, kableExtra, xtsum, spelling
Description: Provides estimators and utilities for large panel-data models with cross-sectional dependence, including mean group (MG), common correlated effects (CCE) and dynamic CCE (DCCE) estimators, and cross-sectionally augmented ARDL (CS-ARDL) specifications, plus related inference and diagnostics.
License: GPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-02-17 20:26:55 UTC; Joaoc
Author: Joao Claudio Macosso [aut, cre]
Maintainer: Joao Claudio Macosso <joaoclaudiomacosso@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-20 10:10:02 UTC

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New package adj with initial version 0.1.0
Package: adj
Title: Lightweight Adjacency Lists
Version: 0.1.0
Description: Provides an S3 class to represent graph adjacency lists using 'vctrs'. Allows for creation, subsetting, combining, and pretty printing of these lists. Adjacency lists can be easily converted to zero-indexed lists, which allows for easy passing of objects to low-level languages for processing.
Depends: R (>= 3.5)
Imports: rlang, cli, vctrs (>= 0.6.5)
Suggests: methods, geos, Matrix, pillar, spelling, testthat (>= 3.0.0)
License: MIT + file LICENSE
LazyData: true
Language: en-US
Encoding: UTF-8
URL: https://alarm-redist.org/adj/, https://github.com/alarm-redist/adj
NeedsCompilation: yes
Packaged: 2026-02-18 01:30:46 UTC; chris
Author: Christopher T. Kenny [aut, cre] , Cory McCartan [aut]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>
Repository: CRAN
Date/Publication: 2026-02-20 10:30:15 UTC

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New package rLifting with initial version 0.9.0
Package: rLifting
Title: High-Performance Wavelet Lifting Transforms
Version: 0.9.0
Date: 2026-02-17
Description: Performs Wavelet Lifting Transforms focusing on signal denoising and functional data analysis (FDA). Implements a hybrid architecture with a zero-allocation 'C++' core for high-performance processing. Features include unified offline (batch) denoising, causal (real-time) filtering using a ring buffer engine, and adaptive recursive thresholding.
License: MIT + file LICENSE
URL: https://github.com/mkyou/rLifting
BugReports: https://github.com/mkyou/rLifting/issues
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
LinkingTo: Rcpp
Imports: Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, dplyr, ggplot2, microbenchmark
Depends: R (>= 4.1.0)
NeedsCompilation: yes
Packaged: 2026-02-17 17:24:06 UTC; moise
Author: Moises da Silva [aut, cre]
Maintainer: Moises da Silva <moisesdff8@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-20 10:00:10 UTC

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New package rblimp with initial version 1.0.0
Package: rblimp
Title: Integration of 'Blimp' Software into R
Version: 1.0.0
Description: Provides an interface to 'Blimp' software for Bayesian latent variable modeling, missing data analysis, and multiple imputation. The package generates 'Blimp' syntax, executes 'Blimp' models, and imports results back into 'R' as structured objects with methods for visualization and analysis. Requires 'Blimp' software (freely available at <https://www.appliedmissingdata.com/blimp>) to be installed separately.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.4.0)
SystemRequirements: Blimp software (<https://www.appliedmissingdata.com/blimp>)
Imports: cli, methods, ggplot2
Suggests: mitml, rstudioapi
URL: https://github.com/blimp-stats/rblimp
BugReports: https://github.com/blimp-stats/rblimp/issues
NeedsCompilation: no
Packaged: 2026-02-17 18:01:03 UTC; Bry
Author: Brian T. Keller [aut, cre, cph]
Maintainer: Brian T. Keller <btkeller@missouri.edu>
Repository: CRAN
Date/Publication: 2026-02-20 10:00:02 UTC

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New package spacemodR with initial version 0.1.3
Package: spacemodR
Title: Workflow for Environmental Risk Assessment: Habitat, Food Web, Dispersal, Exposure and Risk
Version: 0.1.3
Description: A set of tools dedicated to modeling food web transfer based on an initial ground raster. It provides a directed acyclic graph structure for a set of rasters representing the flow of elements (e.g., food, energy, contaminants). It also includes tools for working with dispersal algorithms, enabling the combination of flux data with population movement.
License: MIT + file LICENSE
Imports: ggplot2, httr, sf, terra
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), JuliaCall
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-02-17 07:48:49 UTC; virgile
Author: Virgile Baudrot [aut, cre], Lea Bariod [ctb], Clementine Fritsch [ctb], Renaud Scheifler [ctb]
Maintainer: Virgile Baudrot <virgile.baudrot@qonfluens.com>
Repository: CRAN
Date/Publication: 2026-02-20 08:10:03 UTC

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New package NNMoMo with initial version 0.1.0
Package: NNMoMo
Title: Neural Network Extension to 'StMoMo' for Lee-Carter Modeling
Version: 0.1.0
Description: Provides extensions to the 'StMoMo' package by incorporating neural network functionality for Lee-Carter and Poisson Lee-Carter mortality models. Includes tools for constructing mortality datasets from 'demogdata' objects and fitting neural network-based mortality models. Further analysis, such as plotting and forecasting, can be done with 'StMoMo' functions.
License: GPL-3
Depends: R (>= 4.1.0)
Imports: demography, torch, luz, StMoMo
Suggests: testthat, knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-02-17 13:06:23 UTC; daniel
Author: Daniel Herzog [aut, cre]
Maintainer: Daniel Herzog <studium.daniel.herzog@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-20 08:30:02 UTC

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New package LRMiss with initial version 0.0.1
Package: LRMiss
Title: Linear Regression with Missing Data
Version: 0.0.1
Description: Provides methods for linear regression in the presence of missing data, including missingness in covariates and responses. The package implements two estimators: oss_estimator(), a low-dimensional semi-supervised method, and dantzig_missing(), a high-dimensional approach. The tuning parameter can be selected automatically via cv_dantzig_missing(). See Risebrow and Berrett (2026) <doi:10.48550/arXiv.2602.13729>. Optional support for the 'gurobi' optimizer via the 'gurobi' R package (available from Gurobi, see <https://docs.gurobi.com/projects/optimizer/en/current/reference/r.html>).
Imports: MASS, stats, Rglpk, fastDummies, Rdpack
Suggests: gurobi
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/benrisebrow/LRMiss
BugReports: https://github.com/benrisebrow/LRMiss/issues
NeedsCompilation: no
Packaged: 2026-02-17 10:26:59 UTC; u5646697
Author: Benedict Risebrow [aut, cre], Thomas Berrett [aut]
Maintainer: Benedict Risebrow <Benedict.risebrow@warwick.ac.uk>
Repository: CRAN
Date/Publication: 2026-02-20 08:10:10 UTC

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New package LABTNSCPSS with initial version 1.0
Package: LABTNSCPSS
Version: 1.0
Title: Calculation of Comorbidity and Frailty Scores
Description: Computes comorbidity indices and combined frailty scores for multiple ICD coding systems, including ICD-10-CA, ICD-10-CM, and ICD-11. The package provides tools to preprocess episode data, map diagnosis codes to chronic categories, propagate conditions across episodes, and generate comorbidity and frailty measures. The methods implemented are original to this package and were developed by the authors for research applications; a manuscript describing the methodology is currently in preparation.
URL: https://github.com/bayaniazadeh/LabTNSCPSSPackage
BugReports: https://github.com/bayaniazadeh/LabTNSCPSSPackage/issues
License: GPL-3
Depends: R (>= 4.3.0)
Imports: dplyr, checkmate, data.table, stringi, ggplot2, lubridate, purrr
Suggests: testthat, roxygen2, devtools
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-02-17 15:24:59 UTC; azadehbayani
Author: Azadeh Bayani [aut, cre] , Jean Noel Nikiema [ctb], Michele Bally [ctb]
Maintainer: Azadeh Bayani <azadeh.bayani@umontreal.ca>
Repository: CRAN
Date/Publication: 2026-02-20 08:30:07 UTC

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New package ExploreTheData with initial version 0.1.0
Package: ExploreTheData
Title: A Set of Tools for Exploratory Data Analysis
Version: 0.1.0
Description: Functions to profile a dataset, identify anomalies (special values, outliers, and inliers, defined as data values that are repeated unusually often), and compare data subsets with respect to either numerical or categorical variable distributions.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: data.table, graphics, PropCIs
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2026-02-17 17:12:49 UTC; ronal
Author: Ronald Pearson [aut, cre]
Maintainer: Ronald Pearson <ronald.k.pearson@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-20 08:30:13 UTC

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New package bml with initial version 0.9.0
Package: bml
Title: Bayesian Multiple-Membership Multilevel Models with Parameterizable Weight Functions
Version: 0.9.0
Description: Implements Bayesian multiple-membership multilevel models with parameterizable weight functions via 'JAGS' to model how lower-level units jointly shape higher-level outcomes (micro-macro link) across a range of outcome types (e.g., linear, logit, and survival models). Supports estimation and comparison of alternative aggregation mechanisms, allows weight matrices to be endogenized through parameters and covariates, and accommodates complex dependence structures that extend beyond traditional multilevel frameworks. For details, see Rosche (2026) "A Multilevel Model for Coalition Governments. Uncovering Party-Level Dependencies Within and Between Governments" <doi:10.31235/osf.io/4bafr_v2>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: dplyr, readr, tidyr, stringr, R2jags, ggplot2, ggmcmc, coda, patchwork, tibble, purrr, rlang
URL: https://benrosche.github.io/bml/
BugReports: https://github.com/benrosche/bml/issues
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), rjags
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-17 06:12:47 UTC; fr2488
Author: Benjamin Rosche [aut, cre]
Maintainer: Benjamin Rosche <benrosche@nyu.edu>
Repository: CRAN
Date/Publication: 2026-02-20 08:00:02 UTC

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Thu, 19 Feb 2026

New package PsyToolkit with initial version 1.1.0
Package: PsyToolkit
Version: 1.1.0
Title: Analysis Tools for 'PsyToolkit'
Description: Analyses and reports 'PsyToolkit' questionnaire and experiment data. See Stoet (2017) <doi:10.1177/0098628316677643>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: openxlsx2
NeedsCompilation: no
Packaged: 2026-02-16 13:24:26 UTC; stoet
Author: Gijsbert Stoet [cre, aut]
Maintainer: Gijsbert Stoet <g.stoet@essex.ac.uk>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-02-19 20:10:02 UTC

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New package ecoTolerance with initial version 0.1.0
Package: ecoTolerance
Title: Ecological Tolerance Indices
Version: 0.1.0
Description: Computes the Road Tolerance Index (RTI) and the Human Footprint Tolerance Index (HFTI) for species occurrence data. It automates data cleaning and integrates spatial data (roads and human footprint) to produce reproducible tolerance metrics for biodiversity and conservation research. The HFTI calculation is based on the global human footprint dataset by Mu et al. (2022) <doi:10.1038/s41597-022-01284-8>. This package is part of a PhD thesis focused on amphibian ecology in Brazil.
License: GPL (>= 3)
Encoding: UTF-8
Imports: sf, raster, dplyr, stats, ggplot2, magrittr, methods
Suggests: terra, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-17 00:16:38 UTC; Diego
Author: Diego F. Miranda [aut, cre], Lucas R. Forti [aut]
Maintainer: Diego F. Miranda <dfernandes115@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-19 20:40:02 UTC

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New package eclipseplot with initial version 0.9.4
Package: eclipseplot
Title: Graphical Visualizations for ROBUST-RCT Risk of Bias Assessments
Version: 0.9.4
Description: Provides visual representations of risk-of-bias assessments using the ROBUST-RCT framework, as described in Wang et al. (2025) <doi:10.1136/bmj-2024-081199>. The graphical visualization displays both factual evaluation (Step 1) and judgment (Step 2).
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/pevid-sci/eclipseplot
BugReports: https://github.com/pevid-sci/eclipseplot/issues
Imports: ggplot2, dplyr, ggforce, cowplot, magrittr, tidyr, readxl
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-02-16 20:43:28 UTC; home
Author: Pedro Rodrigues Vidor [aut, cre], Yohan Casiraghi [ctb], Sofia Simoni Rossi Fermo [ctb], Adolfo Moraes de Souza [ctb], Patricia Klarmann Ziegelmann [ctb], Maria Ines Schmidt [ctb], Maicon Falavigna [ctb]
Maintainer: Pedro Rodrigues Vidor <pedro.vidor@ufrgs.br>
Repository: CRAN
Date/Publication: 2026-02-19 20:20:02 UTC

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New package birddog with initial version 1.0.0
Package: birddog
Title: Sniffing Emergence and Trajectories in Academic Papers and Patents
Version: 1.0.0
Description: Provides a unified set of methods to detect scientific emergence and technological trajectories in academic papers and patents. The package combines citation network analysis with community detection and attribute extraction, also applying natural language processing (NLP) and structural topic modeling (STM) to uncover the contents of research communities. It implements metrics and visualizations of community trajectories, including novelty indicators, citation cycle time, and main path analysis, allowing researchers to map and interpret the dynamics of emerging knowledge fields. Applications of the method include: Souza et al. (2022) <doi:10.1002/bbb.2441>, Souza et al. (2022) <doi:10.14211/ibjesb.e1742>, Matos et al. (2023) <doi:10.1007/s43938-023-00036-3>, Maria et al. (2023) <doi:10.3390/su15020967>, Biazatti et al. (2024) <doi:10.1016/j.envdev.2024.101074>, Felizardo et al. (2025) <doi:10.1007/s12649-025-03136-z>, and Miranda et al. (2025) <d [...truncated...]
License: GPL-3
Encoding: UTF-8
Imports: dplyr, ggraph, ggplot2, plotly, igraph, tidygraph, tidyr, tibble, Matrix, purrr, readr, rlang, glue, openalexR, RColorBrewer, scales, stringr
Suggests: cli, ggHoriPlot, ggrepel, ggthemes, janitor, gt, testthat (>= 3.0.0), viridis, zoo, stm, tidytext, udpipe
Depends: R (>= 4.1.0)
URL: http://roneyfraga.com/birddog/, https://github.com/roneyfraga/birddog
BugReports: https://github.com/roneyfraga/birddog/issues
NeedsCompilation: no
Packaged: 2026-02-16 18:49:30 UTC; roney
Author: Roney Fraga Souza [aut, cre, cph] , Luis Felipe de Souza Rodrigues [ctb]
Maintainer: Roney Fraga Souza <roneyfraga@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-19 20:20:06 UTC

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New package bidser with initial version 0.2.0
Package: bidser
Version: 0.2.0
Title: Work with 'BIDS' (Brain Imaging Data Structure) Projects
Description: Tools for working with 'BIDS' (Brain Imaging Data Structure) formatted neuroimaging datasets. The package provides functionality for reading and querying 'BIDS'-compliant projects, creating mock 'BIDS' datasets for testing, and extracting preprocessed data from 'fMRIPrep' derivatives. It supports searching and filtering 'BIDS' files by various entities such as subject, session, task, and run to streamline neuroimaging data workflows. See Gorgolewski et al. (2016) <doi:10.1038/sdata.2016.44> for the 'BIDS' specification.
License: MIT + file LICENSE
Encoding: UTF-8
ByteCompile: true
Imports: stringr, data.tree, neuroim2, tidyselect, dplyr, assertthat, crayon, fs, jsonlite, magrittr, purrr, readr, rlang, stringdist, tibble, tidyr, httr, rio
Suggests: ggplot2, plotly, patchwork, viridis, scales, knitr, rmarkdown, testthat, covr, lintr, gluedown, RNifti, future, future.apply
VignetteBuilder: knitr
URL: https://github.com/bbuchsbaum/bidser, https://bbuchsbaum.github.io/bidser/
BugReports: https://github.com/bbuchsbaum/bidser/issues
NeedsCompilation: no
Packaged: 2026-02-16 18:03:29 UTC; bbuchsbaum
Author: Bradley Buchsbaum [aut, cre]
Maintainer: Bradley Buchsbaum <brad.buchsbaum@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-19 20:20:12 UTC

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New package poLCAParallel with initial version 1.2.6
Package: poLCAParallel
Title: Polytomous Variable Latent Class Analysis Parallel
Version: 1.2.6
Depends: R (>= 3.0.2)
Imports: Rcpp (>= 1.0.7), scatterplot3d, MASS, parallel, poLCA
LinkingTo: Rcpp, RcppArmadillo (>= 0.12.4.1.0)
Description: A 'C++' reimplementation of 'poLCA' - latent class analysis and latent class regression models for polytomous outcome variables, also known as latent structure analysis. It attempts to reproduce results and be as similar as possible to the original code, while running faster, especially with multiple repetitions, by utilising multiple threads. Further reading is available on the Queen Mary, University of London, IT Services Research blog <https://blog.hpc.qmul.ac.uk/speeding_up_r_packages/>.
License: GPL-2
URL: https://github.com/QMUL/poLCAParallel
LazyLoad: yes
NeedsCompilation: yes
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), roxygen2, usethis
Packaged: 2026-02-16 13:48:46 UTC; ubuntu
Author: Sherman Lo [aut, cre], Drew Linzer [aut], Jeffrey Lewis. [aut]
Maintainer: Sherman Lo <s.lo@qmul.ac.uk>
Repository: CRAN
Date/Publication: 2026-02-19 20:00:02 UTC

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New package moewishart with initial version 1.0
Package: moewishart
Title: Mixture-of-Experts Wishart Models for Covariance Data
Version: 1.0
Description: Methods for maximum likelihood and Bayesian estimation for the Wishart mixture model and the mixture-of-experts Wishart (MoE-Wishart) model. The package provides four inference algorithms for these models, each implemented using the expectation–maximization (EM) algorithm for maximum likelihood estimation and a fully Bayesian approach via Gibbs-within-Metropolis–Hastings sampling.
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>
URL: https://github.com/zhizuio/moewishart
BugReports: https://github.com/zhizuio/moewishart/issues
License: GPL-3
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: utils, stats, loo
Suggests: rmarkdown, knitr
NeedsCompilation: no
Packaged: 2026-02-16 10:10:46 UTC; zhiz
Author: The Tien Mai [aut], Zhi Zhao [aut, cre]
Repository: CRAN
Date/Publication: 2026-02-19 19:50:02 UTC

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New package FIRM with initial version 0.1.2
Package: FIRM
Title: Flexible Integration of Single-Cell RNA-Seq Data
Version: 0.1.2
Maintainer: Jingsi Ming <jsming@fem.ecnu.edu.cn>
Description: Provides functions for the flexible integration of heterogeneous scRNA-seq datasets across multiple tissue types, platforms, and experimental batches. Implements the method described in Ming (2022) <doi:10.1093/bib/bbac167>. The package incorporates modified 'C++' source code from the 'flashpca' library (Abraham, 2014-2016 <https://github.com/gabraham/flashpca>) for efficient principal component analysis, and the 'Spectra' library (Qiu, 2016-2025) for large-scale eigenvalue and singular value decomposition; see 'inst/COPYRIGHTS' for details on third-party code.
URL: https://github.com/mingjingsi/FIRM
BugReports: https://github.com/mingjingsi/FIRM/issues
License: GPL-3
Encoding: UTF-8
Copyright: See file 'inst/COPYRIGHTS' for details.
LazyData: true
LazyDataCompression: bzip2
Imports: Seurat (>= 5.0.0), RANN
Suggests: ggplot2
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
NeedsCompilation: yes
Depends: R (>= 3.5.0)
Packaged: 2026-02-16 03:46:03 UTC; dszspur
Author: Jingsi Ming [aut, cre, cph] , Shuzhen Ding [ctb] , Gad Abraham [ctb, cph] , Yixuan Qiu [ctb, cph] , Anna Araslanova [ctb, cph] , Felipe Zapata [ctb, cph] ), Nicolas Renaud [ctb, cph] ), Jens Wehner [ctb, cph] ), Gael Guennebaud [ctb, cph] , Jitse Nie [...truncated...]
Repository: CRAN
Date/Publication: 2026-02-19 19:40:02 UTC

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New package ervissexplore with initial version 0.1.0
Package: ervissexplore
Title: Retrieve and Explore ERVISS Respiratory Virus Surveillance Data
Version: 0.1.0
Description: Provides easy access to ERVISS (European Respiratory Virus Surveillance Summary) data from the EU-ECDC <https://github.com/EU-ECDC/Respiratory_viruses_weekly_data>. Enables retrieval, filtering, and optional visualization of data across European countries. Data is fetched directly from the EU-ECDC Respiratory Viruses Weekly Data repository, with support for both latest data and historical snapshots for reproducible analyses.
License: MIT + file LICENSE
URL: https://github.com/Epiconcept-Paris/ervissexplore, https://epiconcept-paris.github.io/ervissexplore/
BugReports: https://github.com/Epiconcept-Paris/ervissexplore/issues
Encoding: UTF-8
Imports: cli, data.table, ggplot2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-16 08:58:47 UTC; Yohann Mansiaux
Author: Yohann Mansiaux [aut, cre]
Maintainer: Yohann Mansiaux <y.mansiaux@epiconcept.fr>
Repository: CRAN
Date/Publication: 2026-02-19 19:50:08 UTC

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New package ctoclient with initial version 0.0.1
Package: ctoclient
Title: A Modern and Flexible Data Pipeline for 'SurveyCTO'
Version: 0.0.1
Date: 2026-02-16
Description: A modern and flexible R client for the 'SurveyCTO', a mobile and offline data collection platform, providing a modern and consistent interface for programmatic access to server resources. Built on top of the 'httr2' package, it enables secure and efficient data retrieval and returns analysis-ready data through optional tidying. It includes functions to create, upload, and download server datasets, in addition to fetching form data, files, and submission attachments. Robust authentication and request handling make the package suitable for automated survey monitoring and downstream analysis.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
Imports: checkmate, cli, dplyr, httr2, purrr, readr, readxl, rlang, stringr, tidyr
Suggests: curl, httptest2, jsonlite, testthat (>= 3.0.0)
URL: https://guturago.github.io/ctoclient/, https://github.com/guturago/ctoclient/
BugReports: https://github.com/guturago/ctoclient/issues
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-02-16 07:40:26 UTC; Gute
Author: Gutama Girja Urago [aut, cre, cph]
Maintainer: Gutama Girja Urago <girjagutama@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-19 19:50:13 UTC

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New package crossfit with initial version 0.1.1
Package: crossfit
Title: Cross-Fitting Engine for Double/Debiased Machine Learning
Version: 0.1.1
Description: Provides a general cross-fitting engine for double / debiased machine learning and other meta-learners. The core functions implement flexible graphs of nuisance models with per-node training fold widths, target-specific evaluation windows, and several fold allocation schemes ("independence", "overlap", "disjoint"). The engine supports both numeric estimators (mode = "estimate") and cross-fitted prediction functions (mode = "predict"), with configurable aggregation over panels and repetitions.
License: GPL-3
URL: https://github.com/EtiennePeyrot/crossfit-R
BugReports: https://github.com/EtiennePeyrot/crossfit-R/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-16 15:52:07 UTC; skoua
Author: Etienne Peyrot [aut, cre]
Maintainer: Etienne Peyrot <etienne.peyrot@inserm.fr>
Repository: CRAN
Date/Publication: 2026-02-19 20:00:08 UTC

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Wed, 18 Feb 2026

New package yrnd with initial version 0.1.0
Package: yrnd
Title: Computes Risk Neutral Densities of Futures Prices and Yields on Fixed Income Products
Version: 0.1.0
Description: Provides with parametric risk neutral densities and cumulative densities for futures prices on fixed-income products. It relies on options on Short Term Interest Rate futures contracts prices or options on bond futures contracts prices. It models the price of the underlying asset as a mixture of either two or three lognormal densities. It also brings new functions which provide with risk neutral densities and cumulative densities of the rate or the yield underlying the futures contract, using the density of the futures price. The package is based on the works of Melick, W. R. and Thomas, C. P. (1997) <doi:10.2307/2331318> and B. Bahra (1998) <doi:10.2139/ssrn.77429>.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, ggplot2, lubridate, scales, stats, tvm, utils, zoo
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-15 17:11:14 UTC; William
Author: William Arrata [aut, cre]
Maintainer: William Arrata <william.arrata@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-18 19:20:02 UTC

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New package PartialTL with initial version 0.1.0
Package: PartialTL
Title: Partial Transfer Learning for Causal Estimation
Version: 0.1.0
Description: Implements partial transfer learning (PTL) for causal effect estimation using source and target data, with bootstrap-based source detection. Provides data generating processes and nuisance functions for simulation.
License: GPL (>= 2)
URL: https://github.com/JackQuu/PartialTL
BugReports: https://github.com/JackQuu/PartialTL/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: MASS, DoubleML, ncvreg
Suggests: lgr, mlr3, mlr3learners, glmnet
NeedsCompilation: no
Packaged: 2026-02-15 07:13:22 UTC; QUXINHAO
Author: Xinhao Qu [aut, cre]
Maintainer: Xinhao Qu <xqu018@ucr.edu>
Repository: CRAN
Date/Publication: 2026-02-18 19:10:13 UTC

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New package hipecR with initial version 2.0.0
Package: hipecR
Title: Tools for Analysing HIPEC Patient Data
Version: 2.0.0
Maintainer: Tarkan Jaeger <tarkan.jaeger@gmail.com>
Description: Provides helper functions for analysing patient data in hyperthermic intraperitoneal chemotherapy (HIPEC) workflows. Includes functions to estimate peritoneal surface area (PSA), summarise registry data, and produce reporting graphics. Body surface area calculations are based on Du Bois and Du Bois (1916) <doi:10.1001/archinte.1916.00080130010002>.
License: MIT + file LICENSE
URL: https://github.com/TarJae/hipecR
BugReports: https://github.com/TarJae/hipecR/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: DiagrammeR, gifski, testthat (>= 3.0.0)
Imports: dplyr, tibble, shiny, shinyWidgets, formatR, dlookr, ggpubr, stringr, ggplot2, forcats, survminer, survival, labelled, gganimate, magick, tidyr, rlang, curl, htmltools, webshot2
NeedsCompilation: no
Packaged: 2026-02-15 20:05:39 UTC; tarka
Author: Tarkan Jaeger [aut, cre]
Repository: CRAN
Date/Publication: 2026-02-18 19:30:02 UTC

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New package ggseg.formats with initial version 0.0.1
Package: ggseg.formats
Title: Brain Atlas Data Structures for the 'ggseg' Ecosystem
Version: 0.0.1
Description: Provides the 'ggseg_atlas' S3 class used across the 'ggseg' ecosystem for 2D and 3D brain visualisation. Ships three bundled atlases ('Desikan-Killiany', 'FreeSurfer' 'aseg', 'TRACULA') and functions for querying, subsetting, renaming, and enriching atlas objects. Also includes readers for 'FreeSurfer' statistics files.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Imports: cli, dplyr, ggplot2, lifecycle, rlang, sf, tidyr
Suggests: covr, devtools, ggseg3d, here, knitr, rmarkdown, spelling, testthat (>= 3.0.0), vdiffr
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://github.com/ggsegverse/ggseg.formats, https://ggsegverse.github.io/ggseg.formats/
BugReports: https://github.com/ggsegverse/ggseg.formats/issues
NeedsCompilation: no
Packaged: 2026-02-15 19:42:10 UTC; athanasm
Author: Athanasia Mo Mowinckel [aut, cre]
Maintainer: Athanasia Mo Mowinckel <a.m.mowinckel@psykologi.uio.no>
Repository: CRAN
Date/Publication: 2026-02-18 19:30:08 UTC

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New package geoarrowWidget with initial version 0.1.0
Package: geoarrowWidget
Title: Attach '(Geo)Arrow' and/or '(Geo)Parquet' Data to a Widget
Version: 0.1.0
Maintainer: Tim Appelhans <tim.appelhans@gmail.com>
Description: Provides functions and necessary 'JavaScript' bindings to quickly transfer spatial data from R memory or remote URLs to the browser for use in interactive 'HTML' widgets created with the 'htmlwidgets' R package. Leverages 'GeoArrow' (<https://geoarrow.org/>) data representation for data stored in local R memory which is generally faster than traditional 'GeoJSON' by minimising the amount of copy, serialization and deserialization steps necessary for the data transfer. Furthermore, provides functionality and 'JavaScript' bindings to consume 'GeoParquet' (<https://geoparquet.org/>) files from remote URLs in the browser.
License: MIT + file LICENSE
Imports: htmltools, htmlwidgets, listviewer, nanoarrow
Suggests: geoarrow, quarto, tinytest, wk
VignetteBuilder: quarto
Encoding: UTF-8
URL: https://github.com/r-spatial/geoarrowWidget, https://r-spatial.github.io/geoarrowWidget/
BugReports: https://github.com/r-spatial/geoarrowWidget/issues
SystemRequirements: Quarto command line tool (<https://github.com/quarto-dev/quarto-cli>).
NeedsCompilation: no
Packaged: 2026-02-15 08:38:41 UTC; tim
Author: Tim Appelhans [cre, aut]
Repository: CRAN
Date/Publication: 2026-02-18 19:10:03 UTC

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New package dtGAP with initial version 0.0.2
Package: dtGAP
Title: Supervised Generalized Association Plots Based on Decision Trees
Version: 0.0.2
Date: 2026-02-13
Description: Enhances decision tree visualization by incorporating Generalized Association Plots (GAP) through matrix-based visualizations including confusion matrix maps, decision tree matrix maps, and predicted class membership maps based on supervised correlation and distance metrics.
License: MIT + file LICENSE
URL: https://github.com/hanmingwu1103/dtGAP, https://CRAN.R-project.org/package=dtGAP
BugReports: https://github.com/hanmingwu1103/dtGAP/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: C50, caret, circlize, ComplexHeatmap, dplyr, ggparty, grDevices, grid, magrittr, partykit, RColorBrewer, rlang, rpart, seriation, stats, stringr, utils, yardstick
Suggests: InteractiveComplexHeatmap, testthat (>= 3.0.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-02-14 09:51:44 UTC; hmwu
Author: Chia-Yu Chang [aut], Chun-houh Chen [aut], Han-Ming Wu [cre, aut]
Maintainer: Han-Ming Wu <wuhm@g.nccu.edu.tw>
Repository: CRAN
Date/Publication: 2026-02-18 18:10:02 UTC

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New package copulaSFM with initial version 0.1.0
Package: copulaSFM
Title: Copula-Based Simultaneous Stochastic Frontier Models
Version: 0.1.0
Description: Provides estimation procedures for copula-based stochastic frontier models for cross-sectional data. The package implements maximum likelihood estimation of stochastic frontier models allowing flexible dependence structures between inefficiency and noise terms through various copula families (e.g., Gaussian and Student-t). It enables estimation of technical efficiency scores, log-likelihood values, and information criteria (AIC and BIC). The implemented framework builds upon stochastic frontier analysis introduced by Aigner, Lovell and Schmidt (1977) <doi:10.1016/0304-4076(77)90052-5> and the copula theory described in Joe (2014, ISBN:9781466583221). Empirical applications of copula-based stochastic frontier models can be found in Wiboonpongse et al. (2015) <doi:10.1016/j.ijar.2015.06.001> and Maneejuk et al. (2017, ISBN:9783319562176).
License: GPL-3
Encoding: UTF-8
Imports: stats, graphics, truncnorm, VineCopula
NeedsCompilation: no
Packaged: 2026-02-15 04:02:34 UTC; Acer
Author: Woraphon Yamaka [aut, cre], Paravee Maneejuk [aut], Nuttaphong Kaewtathip [aut]
Maintainer: Woraphon Yamaka <woraphon.econ@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-18 19:00:02 UTC

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New package clinCompare with initial version 1.0.0
Package: clinCompare
Title: Dataset Comparison with 'CDISC' Validation for Clinical Trial Data
Version: 1.0.0
Description: A general-purpose toolkit for comparing any two data frames with optional 'CDISC' (Clinical Data Interchange Standards Consortium) validation for clinical trial data. Core comparison functions work on arbitrary datasets: variable-level and observation-level comparison, data type checking, metadata attribute analysis (types, labels, lengths, formats), missing value handling, key-based row matching, tolerance-based numeric comparisons, and group-wise comparisons. Optional z-score outlier detection is available when enabled. When working with clinical data, the package additionally validates 'SDTM' (Study Data Tabulation Model) and 'ADaM' (Analysis Data Model) datasets against CDISC standards (SDTM IG 3.3/3.4, ADaM IG 1.1/1.2/1.3), automatically detecting domains and flagging non-conformant variables. Generates unified comparison reports in text or HTML format with interactive dashboards. For CDISC standards, see <https://www.cdisc.org/standards>.
License: MIT + file LICENSE
URL: https://github.com/siddharthlokineni/clinCompare
BugReports: https://github.com/siddharthlokineni/clinCompare/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: dplyr (>= 1.0.0), haven (>= 2.0.0), rlang (>= 0.4.0), tidyr (>= 1.0.0), methods, stats, tools, utils
Suggests: ggplot2 (>= 3.0.0), openxlsx (>= 4.0.0), testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-15 01:22:16 UTC; siddharthlokineni
Author: Siddharth Lokineni [aut, cre]
Maintainer: Siddharth Lokineni <sidhu871@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-18 19:00:07 UTC

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New package epiworldRcalibrate with initial version 0.1.2
URL: https://sima-njf.github.io/epiworldRcalibrate/, https://github.com/sima-njf/epiworldRcalibrate
BugReports: https://github.com/sima-njf/epiworldRcalibrate/issues
Package: epiworldRcalibrate
Title: Fast and Effortless Calibration of Agent-Based Models using Machine Learning
Version: 0.1.2
Description: Provides tools and pre-trained Machine Learning [ML] models for calibration of Agent-Based Models [ABMs] built with the R package 'epiworldR'. Implements methods described in Najafzadehkhoei, Vega Yon, Modenesi, and Meyer (2025) <doi:10.48550/arXiv.2509.07013>. Users can automatically calibrate ABMs in seconds with pre-trained ML models, effectively focusing on simulation rather than calibration. Bridges a gap by allowing public health practitioners to run their own ABMs without the advanced technical expertise often required by calibration.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), epiworldR
Imports: reticulate (>= 1.2), utils
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-02-13 20:07:22 UTC; u1418987
Author: Sima Najafzadehkhoei [aut, cre] , George Vega Yon [aut] , Bernardo Modenesi [aut], Centers for Disease Control and Prevention [fnd]
Maintainer: Sima Najafzadehkhoei <sima.njf@utah.edu>
Repository: CRAN
Date/Publication: 2026-02-18 18:00:02 UTC

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Tue, 17 Feb 2026

New package Ts with initial version 1.0.1
Package: Ts
Title: Calculation of the Surface Temperature (Ts) from Geospatial Raster Data
Version: 1.0.1
Date: 2026-02-13
Description: Provides functions to calculate the Surface Temperature (Ts) from geospatial raster data. These functions use albedo, Normalized Difference Vegetation Index (NDVI), and air temperature (Ta) to estimate Ts, facilitating hydrological, ecological, and remote sensing analyses.
License: GPL-3
Encoding: UTF-8
Imports: stats, terra
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-13 13:47:59 UTC; hamelin
Author: Gaelle Hamelin [aut, cre]
Maintainer: Gaelle Hamelin <gaelle.hamelin@institut-agro.fr>
Repository: CRAN
Date/Publication: 2026-02-17 22:20:09 UTC

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New package tidyGenR with initial version 0.1.7
Package: tidyGenR
Title: Tidy Multilocus Amplicon Genotypes
Version: 0.1.7
Description: Variant determination and genotyping from high throughput sequences from multilocus amplicon libraries, typically sequenced in Illumina MiSeq or similar. It provides a set of core functions for the central steps: demultiplex by locus, truncate reads, variant calling, and genotype calling. Additionally, it provides a set of functions for diagnosis and estimation of best running parameters and multiple extensions for genotype/variants manipulation and reformatting. Output variants and genotypes are output in 'tidy' format, thus facilitating reformatting, manipulation and potential connection to other R packages.
License: GPL (>= 3)
URL: https://github.com/csmiguel/tidyGenR
BugReports: https://github.com/csmiguel/tidyGenR/issues
Depends: R (>= 4.1.0)
Imports: Biostrings, dada2 (>= 1.16), digest, dplyr (>= 1.0.0), ggplot2, glue, methods, plyr, readr, ShortRead (>= 1.32.0), stats, stringr, tibble, tidyr (>= 1.1.0), tidyselect, DECIPHER, patchwork, writexl
Suggests: ape, knitr, rmarkdown, testthat (>= 3.0.0), tools, BiocStyle
Encoding: UTF-8
LazyData: false
NeedsCompilation: no
Packaged: 2026-02-13 11:33:59 UTC; Miguel
SystemRequirements: cutadapt >=2.0 (https://cutadapt.readthedocs.io/en/stable/)
VignetteBuilder: knitr
Author: Miguel Camacho [aut, cre, cph] , Jennifer Leonard [fnd]
Maintainer: Miguel Camacho <miguelcamachosanchez@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-17 22:10:02 UTC

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New package adrftools with initial version 0.1.0
Package: adrftools
Title: Estimating, Visualizing, and Testing Average Dose-Response Functions
Version: 0.1.0
Description: Facilitates estimating, visualizing, and testing average dose-response functions (ADRFs) for characterizing the causal effect of a continuous (i.e., non-discrete) treatment or exposure. Includes support for frequentist and Bayesian regression models, analytical and bootstrap inference, and characterization of subgroup effects.
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.5), collapse (>= 2.1.3), insight (>= 1.4.3), ggplot2 (>= 4.0.0), marginaleffects (>= 0.19.0), mvtnorm (>= 1.3-3), rlang (>= 1.1.0), sandwich (>= 3.1-1), stats, utils
Suggests: CompQuadForm (>= 1.4.4), fwb (>= 0.5.0), survey, splines, WeightIt, MatchThem, mice, generics, dbarts, knitr, rmarkdown
License: GPL (>= 2)
Encoding: UTF-8
URL: https://github.com/ngreifer/adrftools, https://ngreifer.github.io/adrftools/
BugReports: https://github.com/ngreifer/adrftools/issues
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-02-13 15:44:53 UTC; NoahGreifer
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-17 22:20:02 UTC

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New package spexvb with initial version 0.1.0
Package: spexvb
Title: Parameter Expanded Variational Bayes for High-Dimensional Linear Regression
Version: 0.1.0
Description: Implements a parameter expanded variational Bayes algorithm for linear regression models with high-dimensional variable selection. The methodology utilizes spike-and-slab priors to perform simultaneous estimation and selection. Details can be found in Olejua et al. (2024) <doi:10.21203/rs.3.rs-7208847/v1>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp, glmnet, caret, foreach
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), roxygen2, knitr, rmarkdown, doParallel
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-02-13 04:43:53 UTC; peter
Author: Peter Olejua [aut, cre] , Alexander McLain [aut]
Maintainer: Peter Olejua <polejua@email.sc.edu>
Repository: CRAN
Date/Publication: 2026-02-17 21:40:02 UTC

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New package ribiosMath with initial version 1.2.0
Package: ribiosMath
Title: Mathematical and Statistical Tools in 'ribios'
Version: 1.2.0
Date: 2026-01-24
Description: Mathematical and statistical tools for computational biology in drug discovery. Functions are designed for high performance. Implements the hierarchical fuzzy multi-linkage partitioning method proposed by Huang et al. (2007) <doi:10.1186/gb-2007-8-9-r183>.
Depends: R (>= 3.4.0)
Imports: methods, stats, grDevices, graphics, Rcpp
Suggests: testthat
LinkingTo: Rcpp, RcppArmadillo
License: GPL-3
URL: https://github.com/bedapub/ribiosMath
BugReports: https://github.com/bedapub/ribiosMath/issues
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-02-12 21:04:22 UTC; david
Author: Jitao David Zhang [aut, cre, ctb]
Maintainer: Jitao David Zhang <jitao_david.zhang@roche.com>
Repository: CRAN
Date/Publication: 2026-02-17 22:00:02 UTC

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New package LifeTableFertility with initial version 0.1.0
Package: LifeTableFertility
Title: 'shiny' Application for Life Table and Fertility Analysis
Version: 0.1.0
Description: Provides a 'shiny' application to construct age-specific life tables and fertility schedules from individual female daily egg records. The application computes age-specific survival and fertility functions and estimates key demographic parameters including the net reproductive rate, mean generation time, intrinsic rate of increase, finite rate of increase and doubling time. Optional confidence intervals can be obtained using percentile bootstrap or delete-1 jackknife resampling at the female level. Methods and definitions follow Stevens (2009) <doi:10.1007/978-0-387-89882-7> and Rossini et al. (2024) <doi:10.1371/journal.pone.0299598>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: shiny, stats, utils
Suggests: knitr, DT, ggplot2, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/almarazkrae-4081/LifeTableFertility
BugReports: https://github.com/almarazkrae-4081/LifeTableFertility/issues
NeedsCompilation: no
Packaged: 2026-02-13 06:33:22 UTC; rosy_
Author: Victor Manuel Almaraz Valle [aut, cre]
Maintainer: Victor Manuel Almaraz Valle <almarazkrae@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-17 22:00:08 UTC

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New package framework with initial version 1.0.2
Package: framework
Title: Structured Data Science Project Scaffolding
Version: 1.0.2
Maintainer: Erik Westlund <erik@table1.org>
Description: Project scaffolding and workflow tools for reproducible data science. Manages packages, tracks data integrity, handles database connections, generates notebooks, and publishes to S3-compatible storage. More information at <https://framework.table1.org>.
License: MIT + file LICENSE
URL: https://framework.table1.org, https://github.com/table1/framework
BugReports: https://github.com/table1/framework/issues
Encoding: UTF-8
Imports: checkmate, DBI, RSQLite, yaml, fs, readr, dotenv, openssl, lubridate, jsonlite, plumber
Suggests: testthat (>= 3.0.0), arrow, aws.s3, aws.signature, BiocManager, cli, cyclocomp, devtools, dplyr, DT, duckdb, ggplot2, haven, htmltools, htmlwidgets, knitr, languageserver, odbc, pool, prismjs, R.utils, readxl, remotes, renv, RMariaDB, rmarkdown, RPostgres, tm, usethis, withr, writexl
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-02-12 17:17:41 UTC; erik
Author: Erik Westlund [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-02-17 21:20:02 UTC

More information about framework at CRAN
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New package DegreeDayCalc with initial version 0.1.0
Package: DegreeDayCalc
Title: Degree-Day Phenology Calculator ('shiny' Application)
Version: 0.1.0
Description: Provides a 'shiny' application to compute daily and cumulative degree-days from minimum and maximum temperatures using average, single triangle, and single sine methods, with optional upper temperature thresholds. The application maps cumulative thermal accumulation to user-defined developmental stage thresholds and supports exporting tabular and graphical outputs. The degree-day approach follows assumptions described by Higley et al. (1986) <doi:10.1093/ee/15.5.999>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: shiny, DT, ggplot2
Suggests: testthat (>= 3.0.0)
URL: https://github.com/almarazkrae-4081/DegreeDayCalc
BugReports: https://github.com/almarazkrae-4081/DegreeDayCalc/issues
NeedsCompilation: no
Packaged: 2026-02-13 06:04:16 UTC; rosy_
Author: Victor Manuel Almaraz Valle [aut, cre] , J. Concepcion Rodriguez Maciel [aut], Gustavo Ramirez Valverde [aut], Jaime Alfredo Urzua Gutierrez [aut], Manuel Alejandro Tejeda Reyes [aut]
Maintainer: Victor Manuel Almaraz Valle <almarazkrae@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-17 21:40:14 UTC

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New package VariableSelection with initial version 1.0.0
Package: VariableSelection
Title: Select Variables for Linear Models
Version: 1.0.0
Description: Provides variable selection for linear models and generalized linear models using Bayesian information criterion (BIC) and model posterior probability (MPP). Given a set of candidate predictors, it evaluates candidate models and returns model-level summaries (BIC and MPP) and predictor-level posterior inclusion probabilities (PIP). For more details see Xu, S., Ferreira, M. A., & Tegge, A. N. (2025) <doi:10.48550/arXiv.2510.02628>.
License: GPL-3
Encoding: UTF-8
Imports: stats (>= 4.2.2), GA (>= 3.2.3), memoise (>= 2.0.1)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2026-02-12 19:32:40 UTC; xushu
Author: Shuangshuang Xu [aut, cre]
Maintainer: Shuangshuang Xu <xshuangshuang@vt.edu>
Repository: CRAN
Date/Publication: 2026-02-17 16:00:08 UTC

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New package uteals with initial version 0.0.2
Package: uteals
Title: Shared Utilities to Extend the 'teal' Modules
Language: en-US
Version: 0.0.2
Date: 2026-02-12
URL: https://github.com/phuse-org/uteals
Description: Provides decorators, transformators, and utility functions to extend the 'teal' framework for interactive data analysis applications. Implements methods for data visualization enhancement, statistical data transformations, and workflow integration tools. Designed to support clinical and pharmaceutical research workflows within the 'teal' ecosystem through modular and reusable components.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: R6, checkmate, cowplot, dplyr, formatters, ggplot2, ggplotify, junco, methods, openxlsx, patchwork, rlang, rtables, shiny, shinyBS, shinyWidgets, shinyjs, teal, teal.code, tern, yaml, teal.modules.clinical
Suggests: forcats, knitr, rAccess, rmarkdown, teal.data, teal.modules.general, teal.transform
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-12 12:47:03 UTC; kpagacz
Author: Nadia Abraham [aut], Chanchal Bhalla [aut], Peyman Eshghi [aut, cre], Pranith Gourisetty [aut], Sohan Lal [aut], Przemyslaw Posiadala [aut], Alina Tselinina [aut], Konrad Pagacz [aut], PHUSE [cph]
Maintainer: Peyman Eshghi <peymaan.es@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-17 15:40:02 UTC

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New package RuHere with initial version 1.0.1
Package: RuHere
Title: Flags Spatial Errors in Biological Collection Data Using Specialists' Information
Version: 1.0.1
BugReports: https://github.com/wevertonbio/RuHere/issues
Description: Automatically flags common spatial errors in biological collection data using metadata and specialists' information. RuHere implements a workflow to manage occurrence data through six steps: dataset merging, metadata flagging, validation against expert-derived distribution maps, visualization of flagged records, and sampling bias exploration. It specifically integrates specialist-curated range information to identify geographic errors and introductions that often escape standard automated validation procedures. For details on the methodology, see: Trindade & Caron (2026) <doi:10.64898/2026.02.02.703373>.
Imports: Rcpp, terra, data.table, faunabr (>= 1.0.0), florabr (>= 1.3.1), jsonlite, rgbif, rredlist, stringi, BIEN, ridigbio, fields, ggplot2, mapview, sf, ggnewscale
Suggests: pbapply, knitr, R.utils, rmarkdown, CoordinateCleaner
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
LinkingTo: Rcpp (>= 1.1.0), RcppArmadillo (>= 15.0.2.2)
VignetteBuilder: knitr
URL: https://wevertonbio.github.io/RuHere/
NeedsCompilation: yes
Packaged: 2026-02-12 14:54:08 UTC; wever
Author: Weverton C. F. Trindade [aut, cre] , Fernanda S. Caron [aut]
Maintainer: Weverton C. F. Trindade <wevertonf1993@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-17 15:30:02 UTC

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New package RBBR with initial version 0.1.0
Package: RBBR
Title: Regression-Based Boolean Rule Inference
Version: 0.1.0
Description: Tools for regression-based Boolean rule inference in artificial intelligence studies. The package fits ridge regression models on conjunction expansions and composes interpretable rule sets. Parallel execution is supported for multi-CPU environments.
License: GPL-3
URL: https://github.com/CompBioIPM/RBBR
Depends: R (>= 4.4)
Imports: doParallel, foreach, glmnet, parallel, stats, utils
Suggests: testthat
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Language: en-US
NeedsCompilation: no
Packaged: 2026-02-12 13:40:18 UTC; seyed_000
Author: Seyed Amir Malekpour [aut, cre]
Maintainer: Seyed Amir Malekpour <a.malekpour@ipm.ir>
Repository: CRAN
Date/Publication: 2026-02-17 15:20:02 UTC

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New package KinformR with initial version 0.1.2
Package: KinformR
Title: Relationship-Informed Pedigree and Variant Scoring
Version: 0.1.2
Maintainer: Cameron M. Nugent <cam.nugent@sequencebio.com>
Description: Comparative evaluation of families and candidate variants in rare-variant association studies. The package can be used for two methodologically overlapping but distinct purposes. First, the prior to any genetic or genomic evaluation, evaluation of relative detection power of pedigrees, can direct recruitment efforts by showing which individuals not yet sampled would be the most meaningful additions to a study. Second, after sequencing and analysis, variants based on association with disease status and familial relationships of individuals, aids in variant prioritization. Methodology is described in Nugent (2025) <doi:10.1101/2025.10.06.25337426>.
License: MIT + file LICENSE
URL: https://github.com/SequenceBio/KinformR
BugReports: https://github.com/SequenceBio/KinformR/issues
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: devtools, testthat, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-02-12 18:18:32 UTC; cam.nugent@sequencebio.com
Author: Cameron M. Nugent [aut, cre]
Repository: CRAN
Date/Publication: 2026-02-17 15:50:02 UTC

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New package alsi with initial version 0.1.2
Package: alsi
Title: Aggregated Latent Space Index for Multiple Correspondence Analysis
Version: 0.1.2
Description: Tools for stability-validated aggregation in multiple correspondence analysis (MCA). Implements parallel analysis for dimensionality assessment, bootstrap-based subspace stability diagnostics using Procrustes rotation and Tucker's congruence coefficients, and computation of the Aggregated Latent Space Index (ALSI). ALSI is a person-level summary measure derived from validated MCA dimensions that quantifies departure from independence along stable association directions in multivariate categorical data.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: stats, graphics, utils
Suggests: readxl, openxlsx
NeedsCompilation: no
Packaged: 2026-02-06 17:07:59 UTC; sekangkim
Author: Se-Kang Kim [aut, cre]
Maintainer: Se-Kang Kim <se-kang.kim@bcm.edu>
Repository: CRAN
Date/Publication: 2026-02-17 16:00:02 UTC

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Mon, 16 Feb 2026

New package typstable with initial version 0.1.0
Package: typstable
Title: Better 'Typst' Tables
Version: 0.1.0
URL: https://freierson.github.io/typstable/, https://github.com/freierson/typstable
BugReports: https://github.com/freierson/typstable/issues
Description: Create 'Typst' table markup from data frames. Features a pipe-friendly interface for column, row, and cell styling with support for grouped headers, grouped rows, and data-driven formatting.
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: rlang (>= 1.0.0), tidyselect
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, tibble, dplyr
VignetteBuilder: knitr
License: GPL-3
Date: 2026-01-26
NeedsCompilation: no
Packaged: 2026-02-11 23:27:54 UTC; filip
Author: Filip Reierson [aut, cre]
Maintainer: Filip Reierson <filip.reierson@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-16 17:30:02 UTC

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New package sqlserverconnect with initial version 0.1.0
Package: sqlserverconnect
Title: Simple Helpers for Connecting to 'SQL Server'
Version: 0.1.0
Description: Lightweight helpers for connecting to Microsoft 'SQL Server' using 'DBI', 'odbc', and 'pool'. Provides simple wrappers for building connection arguments, establishing connections, and safely disconnecting.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: DBI, odbc, pool, cli
NeedsCompilation: no
Packaged: 2026-02-12 00:31:25 UTC; daver
Author: Dave Rosenman [aut, cre]
Maintainer: Dave Rosenman <dave.rosenman.data@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-16 17:30:08 UTC

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New package SimtablR with initial version 1.0.1
Package: SimtablR
Title: Easy Publication-Ready Tables and Regression Analysis
Version: 1.0.1
Description: Streamlines the creation of descriptive frequency tables ('Table 1'), diagnostic test accuracy evaluations (sensitivity, specificity, predictive values), and multi-outcome regression summaries. Features automatic tables, prevalence and odds ratio calculations, and seamless integration with 'flextable' for exporting results to 'Microsoft Word' and 'PowerPoint'.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, dplyr, flextable, lmtest, openxlsx, sandwich, stats, tidyr, utils
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
URL: https://github.com/MatheusTG-14/SimtablR, https://MatheusTG-14.github.io/SimtablR/
BugReports: https://github.com/MatheusTG-14/SimtablR/issues
NeedsCompilation: no
Packaged: 2026-02-12 02:46:23 UTC; mathe
Author: Matheus Trabuco Gonzalez [aut, cre]
Maintainer: Matheus Trabuco Gonzalez <matheustrabucogonzalez@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-16 17:50:07 UTC

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New package quallmer with initial version 0.3.0
Package: quallmer
Title: Qualitative Analysis with Large Language Models
Version: 0.3.0
Description: Tools for AI-assisted qualitative data coding using large language models ('LLMs') via the 'ellmer' package, supporting providers including 'OpenAI', 'Anthropic', 'Google', 'Azure', and local models via 'Ollama'. Provides a 'codebook'-based workflow for defining coding instructions and applying them to texts, images, and other data. Includes built-in 'codebooks' for common applications such as sentiment analysis and policy coding, and functions for creating custom 'codebooks' for specific research questions. Supports systematic replication across models and settings, computing inter-coder reliability statistics including Krippendorff's alpha (Krippendorff 2019, <doi:10.4135/9781071878781>) and Fleiss' kappa (Fleiss 1971, <doi:10.1037/h0031619>), as well as gold-standard validation metrics including accuracy, precision, recall, and F1 scores following Sokolova and Lapalme (2009, <doi:10.1016/j.ipm.2009.03.002>). Provides audit trail functionality for documenting coding [...truncated...]
License: GPL-3
URL: https://quallmer.github.io/quallmer/
Depends: R (>= 3.5.0), ellmer (>= 0.4.0)
Imports: cli, dplyr, tidyr, digest, irr, lifecycle, rlang, stats, yardstick
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, janitor, knitr, rmarkdown, testthat (>= 3.0.0), kableExtra, mockery, quanteda, quanteda.tidy, tibble, withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-12 10:15:40 UTC; smaerz
Author: Seraphine F. Maerz [aut, cre] , Kenneth Benoit [aut]
Maintainer: Seraphine F. Maerz <seraphine.maerz@unimelb.edu.au>
Repository: CRAN
Date/Publication: 2026-02-16 18:00:02 UTC

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New package optree with initial version 0.1.0
Package: optree
Title: Hierarchical Runtime Configuration Management
Version: 0.1.0
Description: Provides tools for managing nested, multi-level configuration systems with runtime mutability, type validation, and default value management. Supports creating hierarchical options managers with customizable validators for scalar and vector types (numeric, character, logical), enumerated values, bounded ranges, and complex structures like XY pairs. Options can be dynamically modified at runtime while maintaining type safety through validator functions, and easily reset to their default values when needed.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://optree.bangyou.me/, https://github.com/byzheng/optree
BugReports: https://github.com/byzheng/optree/issues
NeedsCompilation: no
Packaged: 2026-02-11 23:24:23 UTC; zhe00a
Author: Bangou Zheng [aut, cre]
Maintainer: Bangou Zheng <zheng.bangyou@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-16 17:20:07 UTC

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New package kernreg with initial version 1.0
Package: kernreg
Title: Nadaraya-Watson Kernel Regression
Version: 1.0
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Rcpp, RcppParallel, Rfast, Rfast2
LinkingTo: Rcpp, RcppParallel
Encoding: UTF-8
SystemRequirements: GNU make
Description: Fast implementation of Nadaraya-Watson kernel regression for either univariate or multivariate responses, with one or more bandwidths. K-fold cross-validation is also performed.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2026-02-12 11:34:55 UTC; mtsag
Author: Michail Tsagris [aut, cre], Christos Adam [aut]
Repository: CRAN
Date/Publication: 2026-02-16 18:00:09 UTC

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New package gsMeanFreq with initial version 0.1.0
Package: gsMeanFreq
Title: Group Sequential Clinical Trial Designs for Composite Endpoints
Version: 0.1.0
Maintainer: Qinghua Lian <qlian@mcw.edu>
Description: Simulating composite endpoints with recurrent and terminal events under staggered entry, and for constructing one- and two-sample group sequential test statistics and monitoring boundaries based on the mean frequency function. Details will be available in an upcoming publication.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, tibble, pracma, mvtnorm, gsDesign, stats, bdsmatrix, rlang, foreach, survival
NeedsCompilation: no
Packaged: 2026-02-12 04:01:35 UTC; qinghua
Author: Qinghua Lian [aut, cre], Kwang Woo Ahn [ctb], Soyoung Kim [ctb], Michael J Martens [aut], Brent R. Logan [ctb]
Repository: CRAN
Date/Publication: 2026-02-16 17:50:02 UTC

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New package gsDesignNB with initial version 0.2.6
Package: gsDesignNB
Version: 0.2.6
Title: Sample Size and Simulation for Negative Binomial Outcomes
Description: Provides tools for planning and simulating recurrent event trials with overdispersed count endpoints analyzed using negative binomial (or Poisson) rate models. Implements sample size and power calculations for fixed designs with variable accrual, dropout, maximum follow-up, and event gaps, including methods of Zhu and Lakkis (2014) <doi:10.1002/sim.5947> and Friede and Schmidli (2010) <doi:10.3414/ME09-02-0060>. Supports group sequential designs by adding calendar-time analysis schedules compatible with the 'gsDesign' package and by estimating blinded information at interim looks. Includes simulation utilities for recurrent events (including seasonal rates), interim data truncation, and Wald-based inference for treatment rate ratios.
License: GPL (>= 3)
URL: https://keaven.github.io/gsDesignNB/, https://github.com/keaven/gsDesignNB
BugReports: https://github.com/keaven/gsDesignNB/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: data.table, gsDesign, simtrial, stats, MASS
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2, dplyr, gt, scales
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-12 01:18:28 UTC; Anderkea
Author: Keaven Anderson [aut, cre], Nan Xiao [ctb], Hongtao Zhang [ctb], Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph]
Maintainer: Keaven Anderson <keaven_anderson@merck.com>
Repository: CRAN
Date/Publication: 2026-02-16 17:40:09 UTC

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Fri, 13 Feb 2026

New package tidyILD with initial version 0.0.1
Package: tidyILD
Title: Tidy Intensive Longitudinal Data Analysis
Version: 0.0.1
Description: An opinionated, tidyverse-native toolkit for intensive longitudinal data (ILD). Encodes time structure, enforces within-between decomposition, provides spacing-aware lags, and integrates diagnostics and visualization. Use ild_prepare(), ild_center(), ild_lag(), and related functions for a unified pipeline from raw EMA/diary data to interpretable models.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: tibble, dplyr, lubridate, rlang, lme4, nlme, ggplot2
Suggests: testthat (>= 3.0.0), roxygen2, knitr, broom.mixed
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-11 19:46:04 UTC; alexanderlitovchenko
Author: Alex Litovchenko [aut, cre]
Maintainer: Alex Litovchenko <al4877@columbia.edu>
Repository: CRAN
Date/Publication: 2026-02-13 16:40:02 UTC

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New package scholid with initial version 0.1.0
Package: scholid
Title: Tools for Scholarly and Academic Identifiers
Version: 0.1.0
Language: en-US
Description: Tools for detecting, normalizing, classifying, and extracting scholarly identifier strings. The package provides lightweight, dependency-free helpers for common identifier systems such as DOIs, ORCID iDs, ISBNs, ISSNs, arXiv identifiers, and PubMed identifiers. Functions are designed to be vectorized, predictable, and suitable as low-level building blocks for other R packages and data workflows.
License: MIT + file LICENSE
URL: https://thomas-rauter.github.io/scholid/
BugReports: https://github.com/Thomas-Rauter/scholid/issues
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0), knitr (>= 1.30), rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-11 12:22:02 UTC; thomas
Author: Thomas Rauter [aut, cre, fnd]
Maintainer: Thomas Rauter <rauterthomas0@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-13 16:20:02 UTC

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New package RegimeChange with initial version 0.1.1
Package: RegimeChange
Title: Comprehensive Regime Change Detection in Time Series
Version: 0.1.1
Description: A unified framework for detecting regime changes (changepoints) in time series data. Implements both frequentist methods including Cumulative Sum (CUSUM, Page (1954) <doi:10.1093/biomet/41.1-2.100>), Pruned Exact Linear Time (PELT, Killick, Fearnhead, and Eckley (2012) <doi:10.1080/01621459.2012.737745>), Binary Segmentation, and Wild Binary Segmentation, as well as Bayesian methods such as Bayesian Online Changepoint Detection (BOCPD, Adams and MacKay (2007) <doi:10.48550/arXiv.0710.3742> and Shiryaev-Roberts. Supports offline analysis for retrospective detection and online monitoring for real-time surveillance. Provides rigorous uncertainty quantification through confidence intervals and posterior distributions. Handles univariate and multivariate series with detection of changes in mean, variance, trend, and distributional properties.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, ggplot2 (>= 3.4.0), rlang (>= 1.1.0), cli (>= 3.6.0), magrittr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, plotly, patchwork, covr, JuliaCall (>= 0.17.0), keras (>= 2.9.0), tensorflow (>= 2.9.0), reticulate (>= 1.26)
VignetteBuilder: knitr
URL: https://github.com/IsadoreNabi/RegimeChange
BugReports: https://github.com/IsadoreNabi/RegimeChange/issues
LazyData: true
SystemRequirements: Julia (>= 1.6) for optional high-performance backend, Python (>= 3.8) with TensorFlow for deep learning methods
NeedsCompilation: no
Packaged: 2026-02-11 19:07:44 UTC; ROG
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadorenabi@pm.me>
Repository: CRAN
Date/Publication: 2026-02-13 16:34:59 UTC

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New package rareflow with initial version 0.1.0
Package: rareflow
Title: Variational Flow-Based Inference for Rare Events and Large Deviations
Version: 0.1.0
Description: Variational flow-based methods for modeling rare events using Kullback–Leibler (KL) divergence, normalizing flows, Girsanov change of measure, and Freidlin–Wentzell action functionals. The package provides tools for rare-event inference, minimum-action paths, and quasi-potential computation in stochastic dynamical systems. Methods are based on Rezende and Mohamed (2015) <doi:10.48550/arXiv.1505.05770>, Girsanov (1960) <doi:10.1137/1105027>, and Freidlin and Wentzell (2012, ISBN:978-0387955477).
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, ggplot2, gganimate, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-11 21:38:50 UTC; Pietro
Author: Pietro Piu [aut, cre]
Maintainer: Pietro Piu <pietro.piu.si@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-13 16:40:08 UTC

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New package MFF with initial version 0.1.0
Package: MFF
Title: Meta Fuzzy Functions
Version: 0.1.0
Description: Implements Meta Fuzzy Functions (MFFs) for regression Tak and Ucan (2026) <doi:10.1016/j.asoc.2026.114592> by aggregating predictions from multiple base learners using membership weights learned in the prediction space of validation set. The package supports fuzzy and crisp meta-ensemble structures via Fuzzy C-Means (FCM) Tak (2018) <doi:10.1016/j.asoc.2018.08.009>, Possibilistic FCM (PFCM) Tak (2021) <doi:10.1016/j.ins.2021.01.024>, and k-means, and provides a workflow to (i) generate validation/test prediction matrices from common regression learners (linear and penalized regression via 'glmnet', random forests, gradient boosting with 'xgboost' and 'lightgbm'), (ii) fit cluster-wise meta fuzzy functions and compute membership-based weights, (iii) tune clustering-related hyperparameters (number of clusters/functions, fuzziness exponent, possibilistic regularization) via grid search on validation loss, and (iv) predict on new/test prediction matrices and evaluate perf [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: glmnet, randomForest, xgboost, lightgbm, e1071, ppclust
Suggests: knitr, rmarkdown, MASS
NeedsCompilation: no
Packaged: 2026-02-11 11:49:02 UTC; sadik
Author: Nihat Tak [aut, cre], Sadik Coban [aut]
Maintainer: Nihat Tak <nihattak@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-13 16:20:29 UTC

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New package cepiweek with initial version 0.1.1
Package: cepiweek
Title: Continuous Epidemiological Week Indexing for Time-Series Analysis
Version: 0.1.1
Description: Provides a simple algorithm to generate a continuous epidemiological week index from date variables in a dataframe. Weeks are computed as sequential 7-day intervals starting from the earliest observed date. They do not reset at calendar year boundaries and are not ISO 8601 nor MMWR calendar weeks. The approach is intended for epidemiological modeling and time-series analysis where temporal continuity is required. The generated weeks are sequential and do not reset at calendar year boundaries.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: lubridate
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-11 08:56:18 UTC; Daniel_Degina_MY
Author: Daniel Degina [aut, cre, cph]
Maintainer: Daniel Degina <deginadan@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-13 16:20:23 UTC

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New package PTSDdiag with initial version 0.1.0
Package: PTSDdiag
Title: Optimize PTSD Diagnostic Criteria
Version: 0.1.0
Description: Provides tools for analyzing and optimizing PTSD (Post-Traumatic Stress Disorder) diagnostic criteria using PCL-5 (PTSD Checklist for DSM-5) data. Functions identify optimal subsets of PCL-5 items that maintain diagnostic accuracy while reducing assessment burden. Includes tools for both hierarchical (cluster-based) and non-hierarchical symptom combinations, calculation of diagnostic metrics, and comparison with standard DSM-5 criteria. Model validation is conducted using holdout and cross-validation methods to assess robustness and generalizability of the results. For more details see Weidmann et al. (2025) <doi:10.31219/osf.io/6rk72_v1>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, magrittr, rlang, stats, utils, modelr
Depends: R (>= 3.5.0)
Suggests: DT, knitr, lattice, psych, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/WeidmannL/PTSDdiag
BugReports: https://github.com/WeidmannL/PTSDdiag/issues
NeedsCompilation: no
Packaged: 2026-02-10 23:39:48 UTC; trs
Author: Laura Weidmann [aut] , Tobias R. Spiller [aut, cre] , Flavio A. Schueepp [aut]
Maintainer: Tobias R. Spiller <tobias.spiller@access.uzh.ch>
Repository: CRAN
Date/Publication: 2026-02-13 07:50:02 UTC

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New package mhpfilter with initial version 0.1.0
Package: mhpfilter
Title: Modified Hodrick-Prescott Filter with Optimal Smoothing Parameter Selection
Version: 0.1.0
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>
Description: High-performance implementation of the Modified Hodrick-Prescott (HP) Filter for decomposing macroeconomic time series into trend and cyclical components. Based on the methodology of Choudhary, Hanif and Iqbal (2014) <doi:10.1080/00036846.2014.894631> "On smoothing macroeconomic time series using the modified HP filter", which uses generalized cross-validation (GCV) to automatically select the optimal smoothing parameter lambda, following McDermott (1997) "An automatic method for choosing the smoothing parameter in the HP filter" (as described in Coe and McDermott (1997) <doi:10.2307/3867497>). Unlike the standard HP filter that uses fixed lambda values (1600 for quarterly, 100 for annual data), this package estimates series-specific lambda values that minimize the GCV criterion. Implements efficient C++ routines via 'RcppArmadillo' for fast computation, supports batch processing of multiple series, and provides comprehensive visualization tools using 'ggplot2'. Particularl [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://myaseen208.com/mhpfilter/
BugReports: https://github.com/myaseen208/mhpfilter/issues
Depends: R (>= 4.0.0)
Imports: Rcpp (>= 1.0.0), RcppArmadillo (>= 0.12.0.0.0), data.table (>= 1.14.0), collapse (>= 2.0.0), ggplot2 (>= 3.4.0)
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr (>= 1.40), rmarkdown (>= 2.20), testthat (>= 3.0.0), tidyverse (>= 2.0.0), fastverse (>= 0.3.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Language: en-US
Packaged: 2026-02-10 21:18:50 UTC; myaseen208
Author: Muhammad Yaseen [aut, cre] , Javed Iqbal [ctb] , M. Nadim Hanif [ctb]
Repository: CRAN
Date/Publication: 2026-02-13 07:40:08 UTC

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Thu, 12 Feb 2026

New package usearchlite with initial version 0.1.0
Package: usearchlite
Title: Local Vector Search with 'USearch'
Version: 0.1.0
Description: A lightweight local vector index for approximate nearest neighbor (ANN) search using the vendored 'USearch' library Vardanian (2023) <doi:10.5281/zenodo.7949416>. Provides a simple interface for adding vectors, searching for nearest neighbors, and persisting indexes to disk. Metadata filtering is performed in 'R' on the candidate set returned by the 'C++' layer.
License: MIT + file LICENSE
URL: https://github.com/aljrico/usearchlite
BugReports: https://github.com/aljrico/usearchlite/issues
Encoding: UTF-8
SystemRequirements: C++17
NeedsCompilation: yes
LinkingTo: cpp11
Suggests: testthat (>= 3.0.0)
Packaged: 2026-02-10 10:15:58 UTC; alejandrojimenezrico
Author: Alejandro Jimenez Rico [aut, cre]
Maintainer: Alejandro Jimenez Rico <aljrico@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-12 20:30:02 UTC

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New package MDgof with initial version 1.0.0
Package: MDgof
Title: Various Methods for the Goodness-of-Fit Problem in D>1 Dimensions
Version: 1.0.0
Description: The routine gof_test() in this package runs the goodness-of-fit test using various test statistic for multivariate data. Models under the null hypothesis can either be simple or allow for parameter estimation. p values are found via the parametric bootstrap (simulation). The routine gof_test_adjusted_pvalues() runs several tests and then finds a p value adjusted for simultaneous inference. The routine gof_power() allows the estimation of the power of the tests. hybrid_test() and hybrid_power() do the same by first generating a Monte Carlo data set under the null hypothesis and then running a number of two-sample methods. The routine run.studies() allows a user to quickly study the power of a new method and how it compares to those included in the package via a large number of case studies. For details of the methods and references see the included vignettes.
License: GPL (>= 2)
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, parallel, stats, microbenchmark, spatstat.geom, spatstat.explore, FNN, copula, mvtnorm, ggplot2, microbenchmark, MD2sample
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: yes
Packaged: 2026-02-10 13:00:15 UTC; Wolfgang
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>
Repository: CRAN
Date/Publication: 2026-02-12 20:40:03 UTC

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New package il.cbs.muni with initial version 0.1.0
Package: il.cbs.muni
Title: Utility Functions to Work with Israeli Central Bureau of Statistics Municipal Data
Version: 0.1.0
Description: Analyst oriented utility functions to handle the different quirks of the Israeli CBS municipal data, harmonize id's and bring together data points from different years.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, janitor, purrr, readxl, rlang, stringr, tidyr
Suggests: httr2, testthat (>= 3.0.0)
URL: https://github.com/matanhakim/il.cbs.muni, https://matanhakim.github.io/il.cbs.muni/
BugReports: https://github.com/matanhakim/il.cbs.muni/issues
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-02-10 14:33:03 UTC; matan
Author: Matan Hakim [aut, cre, cph]
Maintainer: Matan Hakim <matanhakim@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-12 20:50:02 UTC

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New package CardiacDP with initial version 0.4.2
Package: CardiacDP
Title: Automated Cardiac Data Processing via ACF, GA & Tracking Index
Version: 0.4.2
Maintainer: Yi-Fei Gu <guyf0601@connect.hku.hk>
Description: An algorithm developed to efficiently and accurately process complex and variable cardiac data with three key features: 1. employing autocorrelation to identify recurrent heartbeats and use their periods to compute heart rates; 2. incorporating a genetic algorithm framework to minimize data loss due to noise interference and accommodate within-sequence variations; and 3. introducing a tracking index as a moving reference to reduce errors. Lau, Wong, & Gu (2026) <https://ssrn.com/abstract=5153081>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: data.table, doParallel, dplyr, foreach, ggplot2, purrr, RColorBrewer, stringr
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-10 09:37:37 UTC; yg
Author: Sarah Lau [aut, ctb] , Adrian Wong [aut, ctb], Yi-Fei Gu [aut, cre]
Repository: CRAN
Date/Publication: 2026-02-12 20:30:08 UTC

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New package ViroReportR with initial version 1.0.3
Package: ViroReportR
Title: Respiratory Viral Infection Forecast Reporting
Version: 1.0.3
Description: Tools for reporting and forecasting viral respiratory infections, using case surveillance data. Report generation tools for short-term forecasts, and validation metrics for an arbitrary number of customizable respiratory viruses. Estimation of the effective reproduction number is based on the 'EpiEstim' framework described in work by 'Cori' and colleagues. (2013) <doi:10.1093/aje/kwt133>.
License: GPL (>= 3)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
Imports: data.table, dplyr, EpiEstim, ggplot2, incidence, lubridate, projections, purrr, rlang, tibble, stats, utils, tidyr, glue, mgcv, kableExtra, cowplot
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
URL: https://github.com/BCCDC-PHSA/ViroReportR
BugReports: https://github.com/BCCDC-PHSA/ViroReportR/issues
NeedsCompilation: no
Packaged: 2026-02-09 21:01:12 UTC; rebeca.falcao
Author: Mike Irvine [aut, cre, cph], Caesar Wong [aut], Nirupama Tamvada [aut], Rebeca Falcao [aut], Nelson Tang [aut]
Maintainer: Mike Irvine <mike.irvine@bccdc.ca>
Repository: CRAN
Date/Publication: 2026-02-12 08:10:21 UTC

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New package tissot with initial version 0.2.0
Package: tissot
Title: Tissot Indicatrix for Map Projection Distortion
Version: 0.2.0
Description: Compute and visualize the 'Tissot Indicatrix' for map projections. The indicatrix characterizes projection distortion by computing scale factors, angular deformation, areal distortion, and convergence at arbitrary points. Based on the calculations shared by Bill Huber on <https://gis.stackexchange.com/a/5075/482>. Uses 'GDAL' for coordinate transformation. Developed using the method published in Snyder, JP (1987) <doi:10.3133/pp1395>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Imports: tibble, gdalraster, graphics, grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, spelling
URL: https://github.com/hypertidy/tissot
BugReports: https://github.com/hypertidy/tissot/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-02-10 04:22:37 UTC; mdsumner
Author: Michael Sumner [aut, cre] , Bill Huber [aut]
Maintainer: Michael Sumner <mdsumner@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-12 08:10:02 UTC

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New package tidylaslog with initial version 0.1.2
Package: tidylaslog
Title: Tidy Import, Indexing, and Export of LAS Well Log Data
Version: 0.1.2
Description: Provides tools for reading, parsing, indexing, and exporting LAS (Log ASCII Standard) well log files into tidy, analysis-ready tabular formats. The package separates LAS header information and log data into structured components, builds a searchable index across collections of LAS files, and enables reproducible subsetting of wells based on metadata or curve availability. Output tables can be written to CSV or Parquet formats to support large-scale statistical, machine learning, and earth science workflows. The tidy data structure follows Wickham (2014) <doi:10.18637/jss.v059.i10>. The LAS file structure follows the Canadian Well Logging Society LAS standard <https://www.cwls.org/wp-content/uploads/2017/02/Las2_Update_Jan2017.pdf>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, tibble, tidyr
Suggests: arrow, jsonlite, testthat (>= 3.0.0)
URL: https://github.com/Omodolor/tidylaslog
BugReports: https://github.com/Omodolor/tidylaslog/issues
NeedsCompilation: no
Packaged: 2026-02-10 04:26:05 UTC; hxo76
Author: Hope E. Omodolor [aut, cre]
Maintainer: Hope E. Omodolor <hopeomodolor@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-12 08:20:02 UTC

More information about tidylaslog at CRAN
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New package sshist with initial version 0.1.1
Package: sshist
Title: Optimal Histogram Binning Using Shimazaki-Shinomoto Method
Version: 0.1.1
Description: Implements the Shimazaki-Shinomoto method (2007) <doi:10.1162/neco.2007.19.6.1503> for optimizing the bin width of a histogram. This method minimizes the mean integrated squared error (MISE) and features a C++ backend for high performance and shift-averaging to remove edge-position bias. Ideally suits for time-dependent rate estimation and identifying intrinsic data structures. Supports both 1D and 2D data distributions.
License: GPL (>= 3)
URL: https://github.com/celebithil/sshist, https://www.neuralengine.org/res/histogram.html
BugReports: https://github.com/celebithil/sshist/issues
Imports: graphics, grDevices, Rcpp, stats
Suggests: ggplot2, knitr, rmarkdown
LinkingTo: Rcpp
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-02-10 08:12:34 UTC; celebithil
Author: Daniil Popov [aut, cre]
Maintainer: Daniil Popov <popov.daniil@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-12 08:20:08 UTC

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New package mixpower with initial version 0.1.0
Package: mixpower
Title: Simulation-Based Power Analysis for Mixed-Effects Models
Version: 0.1.0
Description: A comprehensive, simulation-based toolkit for power and sample-size analysis for linear and generalized linear mixed-effects models (LMMs and GLMMs). Supports Gaussian, binomial, Poisson, and negative binomial families via 'lme4'; Wald and likelihood-ratio tests; multi-parameter sensitivity grids; power curves and minimum sample-size solvers; parallel evaluation with deterministic seeds; and full reproducibility (manifests, result bundling, and export to CSV/JSON). Delivers thorough diagnostics per run (failure rate, singular-fit rate, effective N) and publication-ready summary tables. References: Bates et al. (2015) "Fitting Linear Mixed-Effects Models Using lme4" <doi:10.18637/jss.v067.i01>; Green and MacLeod (2016) "SIMR: an R package for power analysis of generalized linear mixed models by simulation" <doi:10.1111/2041-210X.12504>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: stats, lme4
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, digest, jsonlite
VignetteBuilder: knitr
URL: https://github.com/alitovchenko/mixpower
BugReports: https://github.com/alitovchenko/mixpower/issues
NeedsCompilation: no
Packaged: 2026-02-10 06:29:07 UTC; alexanderlitovchenko
Author: Mixpower Alex Litovchenko [aut, cre]
Maintainer: Mixpower Alex Litovchenko <al4877@columbia.edu>
Repository: CRAN
Date/Publication: 2026-02-12 08:20:18 UTC

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New package measles with initial version 0.1.0
Package: measles
Title: Measles Epidemiological Models
Version: 0.1.0
Depends: R (>= 4.1.0), epiworldR (>= 0.11.0.1)
Description: A specialized collection of measles epidemiological models built on the 'epiworldR' framework. This package is a spinoff from 'epiworldR' focusing specifically on measles transmission dynamics. It includes models for school settings with quarantine and isolation policies, mixing models with population groups, and risk-based quarantine strategies. The models use Agent-Based Models (ABM) with a fast 'C++' backend from the 'epiworld' library. Ideal for studying measles outbreaks, vaccination strategies, and intervention policies.
URL: https://github.com/UofUEpiBio/measles
BugReports: https://github.com/UofUEpiBio/measles/issues
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: cpp11, epiworldR
Imports: utils
Suggests: tinytest, data.table, quarto
VignetteBuilder: quarto
LazyData: true
NeedsCompilation: yes
Packaged: 2026-02-03 18:26:59 UTC; runner
Author: George Vega Yon [aut, cre] , Damon Toth [ctb] , Jake Wagoner [ctb] , Olivia Banks [ctb] , Centers for Disease Control and Prevention [fnd]
Maintainer: George Vega Yon <g.vegayon@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-12 08:10:14 UTC

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New package kvr2 with initial version 0.1.0
Package: kvr2
Title: Calculate and Compare Multiple Definitions of Coefficient of Determination
Version: 0.1.0
Description: Calculate nine types of coefficients of determination (R-squared) based on the classification by Kvalseth (1985) <doi:10.1080/00031305.1985.10479448>. This package is designed for educational purposes to demonstrate how R-squared values can fluctuate depending on the choice of formula, particularly in power regression models or linear models without an intercept. By providing a comprehensive list of definitions, it helps users understand the mathematical sensitivity of goodness-of-fit indices.
URL: https://github.com/indenkun/kvr2, https://indenkun.github.io/kvr2/
BugReports: https://github.com/indenkun/kvr2/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-10 07:10:50 UTC; kobayashi
Author: Mao Kobayashi [aut, cre]
Maintainer: Mao Kobayashi <kobamao.jp@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-12 08:20:25 UTC

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New package golfastr with initial version 0.1.5
Package: golfastr
Title: Efficiently Access Pro Golf Data
Version: 0.1.5
Description: Fetch Professional Golfers' Association (PGA) Tour tournament data from ESPN <https://www.espn.com/golf/> including leaderboards and hole-by-hole scoring. Data is returned in tidy tibble format ready for analysis. Supports local storage via RDS or 'Apache Arrow' Parquet files for fast repeated access. Designed for golf analytics, data journalism, and fantasy sports research.
License: MIT + file LICENSE
Depends: R (>= 4.0)
Encoding: UTF-8
Imports: httr2, dplyr, tibble
Suggests: testthat (>= 3.0.0), arrow, ggplot2
URL: https://github.com/array-carpenter/golfastr
BugReports: https://github.com/array-carpenter/golfastr/issues
NeedsCompilation: no
Packaged: 2026-02-10 01:05:18 UTC; raycarpenter
Author: Ray Carpenter [aut, cre, cph]
Maintainer: Ray Carpenter <raymondcarpenter1@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-12 08:00:08 UTC

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New package flexBART with initial version 2.0.3
Package: flexBART
Title: A More Flexible BART Model
Version: 2.0.3
Date: 2026-02-09
Description: Implements a faster and more expressive version of Bayesian Additive Regression Trees that, at a high level, approximates unknown functions as a weighted sum of binary regression tree ensembles. Supports fitting (generalized) linear varying coefficient models that posits a linear relationship between the inverse link and some covariates but allows that relationship to change as a function of other covariates. Additionally supports fitting heteroscedastic BART models, in which both the mean and log-variance are approximated with separate regression tree ensembles. A formula interface allows for different splitting variables to be used in each ensemble. For more details see Deshpande (2025) <doi:10.1080/10618600.2024.2431072> and Deshpande et al. (2024) <doi:10.1214/24-BA1470>.
License: GPL (>= 3)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp (>= 1.0.12), glmnet (>= 4.0), methods
Suggests: igraph, knitr, quarto
URL: https://skdeshpande91.github.io/flexBART/
NeedsCompilation: yes
Packaged: 2026-02-10 01:39:10 UTC; sameer
Author: Sameer K. Deshpande [aut, cre] , George Perrett [aut] , Ryan Yee [aut] , Cecilia Balocchi [aut] , Jennifer Hill [aut]
Maintainer: Sameer K. Deshpande <sameer.deshpande@wisc.edu>
Repository: CRAN
Date/Publication: 2026-02-12 08:00:15 UTC

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New package CASIdata with initial version 0.2.1
Package: CASIdata
Title: Datasets from Computer Age Statistical Inference
Version: 0.2.1
Description: Provides the datasets from Efron & Hastie (2016, ISBN: 9781108107952), "Computer Age Statistical Inference: Algorithms, Evidence, and Data Science", in an accessible R format for those who want to use them for study or to try to reproduce analyses from the book.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, vcdExtra, car
VignetteBuilder: knitr
Language: en-US
URL: https://github.com/friendly/CASIdata, https://friendly.github.io/CASIdata/
BugReports: https://github.com/friendly/CASIdata/issues
NeedsCompilation: no
Packaged: 2026-02-10 01:24:21 UTC; friendly
Author: Michael Friendly [aut, cre]
Maintainer: Michael Friendly <friendly@yorku.ca>
Repository: CRAN
Date/Publication: 2026-02-12 08:00:20 UTC

More information about CASIdata at CRAN
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New package BayesPET with initial version 0.1.0
Package: BayesPET
Title: Bayesian Prediction of Event Times for Blinded Randomized Controlled Trials
Version: 0.1.0
Date: 2026-02-04
Description: Bayesian methods for predicting the calendar time at which a target number of events is reached in clinical trials. The methodology applies to both blinded and unblinded settings and jointly models enrollment, event-time, and censoring processes. The package provides tools for trial data simulation, model fitting using 'Stan' via the 'rstan' interface, and event time prediction under a wide range of trial designs, including varying sample sizes, enrollment patterns, treatment effects, and event or censoring time distributions. The package is intended to support interim monitoring, operational planning, and decision-making in clinical trial development. Methods are described in Fu et al. (2025) <doi:10.1002/sim.70310>.
License: GPL (>= 3)
Encoding: UTF-8
Biarch: true
Depends: R (>= 4.1.0)
Imports: dplyr, magrittr, methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), utils, furrr, future, readr, tibble, tidyr, reshape2
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
LazyData: true
NeedsCompilation: yes
Packaged: 2026-02-09 23:50:47 UTC; admin
Author: Xinyi He [cre, aut], Jingyan Fu [aut], Ying Yuan [aut, cph]
Maintainer: Xinyi He <xinyi.he@uth.tmc.edu>
Repository: CRAN
Date/Publication: 2026-02-12 08:00:26 UTC

More information about BayesPET at CRAN
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Wed, 11 Feb 2026

New package TICM with initial version 1.0-0
Package: TICM
Title: Testing the Validity of the Independent Component Model Assumption
Version: 1.0-0
Date: 2026-02-09
Maintainer: Klaus Nordhausen <klausnordhausenR@gmail.com>
Imports: Rcpp (>= 0.11.0), stats, parallel
Depends: fICA, JADE, graphics
LinkingTo: Rcpp, RcppArmadillo
Description: Description: Provides affine-invariant, distribution-free tests of multivariate independence, applied either directly to observed data or to estimated independent components. In the latter case, the procedures can be used to assess the validity of independent component models. The tests are based on L2-type distances between characteristic functions, with inference carried out using permutation or bootstrap resampling schemes. The methods are described in Hallin et al. (2024) <doi:10.48550/arXiv.2404.07632>.
License: GPL (>= 3)
NeedsCompilation: yes
Packaged: 2026-02-09 13:34:11 UTC; nordklau
Author: Klaus Nordhausen [aut, cre] , Marc Hallin [aut] , Simos Meintanis [aut]
Repository: CRAN
Date/Publication: 2026-02-11 20:20:08 UTC

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New package simevent with initial version 0.1.0
Package: simevent
Title: Simulation and Analysis of Event History Data
Version: 0.1.0
Description: Simulate event history data from a framework where treatment decisions and disease progression are represented as counting process. The user can specify number of events and parameters of intensities thereby creating a flexible simulation framework.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/miclukacova/simevent
BugReports: https://github.com/miclukacova/simevent/issues
Imports: stats, data.table, ggplot2, survival, Rcpp
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
LinkingTo: Rcpp
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-02-09 14:52:08 UTC; dns525
Author: Michaela Lukacova [aut, cre]
Maintainer: Michaela Lukacova <michaela.lukacova@sund.ku.dk>
Repository: CRAN
Date/Publication: 2026-02-11 20:20:02 UTC

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New package iv.sensemakr with initial version 0.1.0
Package: iv.sensemakr
Title: Sensitivity Analysis Tools for Instrumental Variable Estimates
Version: 0.1.0
Description: Implements a suite of sensitivity analysis tools for instrumental variable estimates as described in Cinelli and Hazlett (2025) <doi:10.1093/biomet/asaf004>.
License: GPL-3
URL: https://carloscinelli.com/iv.sensemakr/, https://github.com/carloscinelli/iv.sensemakr
BugReports: https://github.com/carloscinelli/iv.sensemakr/issues
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Imports: sensemakr (>= 0.1.5)
Depends: R (>= 3.1.0)
NeedsCompilation: no
Packaged: 2026-02-09 08:18:58 UTC; cinelli
Author: Carlos Cinelli [aut, cre, cph], Chad Hazlett [aut, cph]
Maintainer: Carlos Cinelli <carloscinelli@hotmail.com>
Repository: CRAN
Date/Publication: 2026-02-11 20:10:02 UTC

More information about iv.sensemakr at CRAN
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New package DepMod with initial version 0.1.0
Package: DepMod
Title: Decision-Analytic Modelling for Depression Prevention and Treatment
Version: 0.1.0
Description: Provides functions and example datasets to run a decision-analytic model for prevention and treatment strategies across depression severity states (sub-clinical, mild, moderate, severe, and recurrent). The package supports scenario analyses (base and alternative inputs) and summarises outcomes such as coverage, adherence, effect sizes, and healthcare costs.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: shiny, stats, utils, DT, DiagrammeR, tidyverse, bslib, here
Depends: R (>= 3.5)
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-09 10:29:40 UTC; 85304spe
Author: Stijn Peeters [aut, cre] , Frederick Thielen [aut] , Ben Wijnen [aut]
Maintainer: Stijn Peeters <s.b.peeters@eshpm.eur.nl>
Repository: CRAN
Date/Publication: 2026-02-11 20:10:08 UTC

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New package placematchr with initial version 0.2.3
Package: placematchr
Title: Normalize and Match City Names to NUTS Regions
Version: 0.2.3
Date: 2026-02-08
Description: Normalizes city names for Germany (DE) and Switzerland (CH) and matches them to NUTS 3 regions using provided crosswalks. Features include comprehensive normalization rules, cascading matching logic (Exact NUTS -> Exact LAU -> Fuzzy), and single-source data synthesis. The package implements the NUTS classification as described in the NUTS methodology (Eurostat (2021) <https://ec.europa.eu/eurostat/web/nuts>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, stringr, stringdist, data.table, tidyr, rlang
Suggests: testthat, readxl
NeedsCompilation: no
Packaged: 2026-02-08 23:47:07 UTC; giulianetinginfrati
Author: Giulian Etingin-Frati [aut, cre]
Maintainer: Giulian Etingin-Frati <etingin-frati@kof.ethz.ch>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-02-11 19:50:02 UTC

More information about placematchr at CRAN
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