Wed, 27 May 2026

Package Athlytics updated to version 1.0.5 with previous version 0.1.2 dated 2025-05-16

Title: Sports Physiology Analysis from Local 'Strava' Data
Description: Tools for reproducible, offline analysis of endurance-training data exported from 'Strava'. Provides data import, quality-control, cohort-reference, and visualization helpers for sports-science indicators including acute:chronic workload ratio, aerobic efficiency, cardiovascular decoupling, exposure, and personal-best profiles.
Author: Zhiang He [aut, cre], Eunseop Kim [rev] for rOpenSci, see https://github.com/ropensci/software-review/issues/728), Simon Nolte [rev] for rOpenSci, see https://github.com/ropensci/software-review/issues/728)
Maintainer: Zhiang He <ang@hezhiang.com>

Diff between Athlytics versions 0.1.2 dated 2025-05-16 and 1.0.5 dated 2026-05-27

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New package thinr with initial version 0.2.0
Package: thinr
Title: Binary Image Thinning Algorithms
Version: 0.2.0
Description: Thinning (skeletonization) algorithms for binary raster images. Provides seven algorithms behind a single dispatching function: Zhang-Suen (Zhang and Suen 1984) <doi:10.1145/357994.358023>, Guo-Hall (Guo and Hall 1989) <doi:10.1145/62065.62074>, a 2-D adaptation of Lee (Lee, Kashyap, and Chu 1994) <doi:10.1006/cgip.1994.1042>, K3M (Saeed, Tabedzki, Rybnik, and Adamski 2010) <doi:10.2478/v10006-010-0024-4>, the parallel form commonly attributed to Hilditch (1969, in 'Machine Intelligence 4'), OPTA / SPTA (Naccache and Shinghal 1984), and Holt and colleagues (1987) <doi:10.1145/12527.12531>. Also provides the medial axis transform (Blum 1967) and a distance transform implementation following Felzenszwalb and Huttenlocher (2012) <doi:10.4086/toc.2012.v008a019>. The drop-in thinImage() matches the signature of thinImage() in the 'EBImage' package on Bioconductor so existing code can switch parsers without changes. The wider thin() API selects the algorit [...truncated...]
License: LGPL-3
Encoding: UTF-8
Depends: R (>= 4.2)
LinkingTo: Rcpp
Imports: Rcpp
Suggests: bench, covr, knitr, lintr, rmarkdown, styler, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/humanpred/thinr, https://humanpred.github.io/thinr/
BugReports: https://github.com/humanpred/thinr/issues
NeedsCompilation: yes
Packaged: 2026-05-20 18:04:21 UTC; bill
Author: Bill Denney [aut, cre]
Maintainer: Bill Denney <wdenney@humanpredictions.com>
Repository: CRAN
Date/Publication: 2026-05-27 20:10:02 UTC

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New package surveyframe with initial version 0.3.0
Package: surveyframe
Title: Survey Instrument Workflows
Version: 0.3.0
Description: Supports survey research workflows built around a typed instrument object (the sframe). Features include visual instrument design via a browser-based builder or 'Shiny' studio, export to a self-contained static HTML survey, an embeddable 'Shiny' module, SHA-256 integrity-checked serialisation to the '.sframe' format, multi-page survey rendering, branching logic, response quality checking, scale scoring, psychometric diagnostics, analysis-plan execution, model syntax planning, an interactive response dashboard, codebook generation, and reproducible HTML reporting.
License: MIT + file LICENSE
URL: https://github.com/MohammedAliSharafuddin/surveyframe
BugReports: https://github.com/MohammedAliSharafuddin/surveyframe/issues
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: jsonlite (>= 1.8.0), rlang (>= 1.1.0), openssl (>= 2.1.0)
Suggests: googlesheets4 (>= 1.1.0), shiny (>= 1.7.0), psych (>= 2.3.0), MASS, nnet, digest (>= 0.6.0), testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-20 18:17:37 UTC; maxx
Author: Mohammed Ali Sharafuddin [aut, cre]
Maintainer: Mohammed Ali Sharafuddin <mohammedali.page@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 20:10:09 UTC

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New package statgen with initial version 0.3.2
Package: statgen
Title: Statistical Genetics Data Objects and Loaders
Version: 0.3.2
Description: Loads and manages statistical genetics data objects including reference panels, genotypes, LD matrices, annotations, and summary statistics. Follows the 'statgen' specification for use across 'Python', 'R', and 'MATLAB'/'Octave' runtimes.
License: MIT + file LICENSE
URL: https://github.com/precimed/statgen
BugReports: https://github.com/precimed/statgen/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: Matrix, jsonlite, digest, bit64, methods, data.table
Suggests: R.utils, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-20 18:59:34 UTC; andrewmorris
Author: Oleksandr Frei [aut, cph], Andrew Morris [cre, ctb]
Maintainer: Andrew Morris <a.h.morris@mn.uio.no>
Repository: CRAN
Date/Publication: 2026-05-27 20:10:17 UTC

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New package shellgame with initial version 0.1.1
Package: shellgame
Title: The Shell Game - Audit Geographic Data Transformations
Version: 0.1.1
Description: Reveals how data quality silently degrades during geographic transformations while variable labels remain unchanged. Demonstrates that transformation error is agnostic to both the variable (population, income, etc.) and the tool ('R', 'Python', etc.). Provides a reproducible audit framework for quantifying the shift from observed to imputed data at each transformation hop.
License: MIT + file LICENSE
URL: https://github.com/phinnphace/shellgame
BugReports: https://github.com/phinnphace/shellgame/issues
Depends: R (>= 4.0.0)
Imports: dplyr (>= 1.0.0), ggplot2, janitor, magrittr, rlang, stringr, tidycensus, utils
Suggests: geoDeltaAudit, knitr, readr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-05-20 16:58:57 UTC; phinnmarkson
Author: Phinn Markson [aut, cre]
Maintainer: Phinn Markson <markson.2@osu.edu>
Repository: CRAN
Date/Publication: 2026-05-27 20:10:23 UTC

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New package explodemap with initial version 0.2.0
Package: explodemap
Title: Hierarchical Exploded-View Cartography
Version: 0.2.0
Description: Tools for generating hierarchical exploded-view maps from dense administrative boundary data. The package applies rigid-body translations to polygon geometries using a centroid-driven vector field, preserving the internal geometry of each feature while separating units within and across regions. Parameters can be derived analytically from dataset geometry using closed-form models for regional separation and local expansion. The package also includes grouped layouts, optional bounded collision refinement, and an interactive focus-map widget for selected-area inspection in 'htmlwidgets' and 'Shiny'. It implements the methodology described in George Arthur (2026) <https://github.com/PrigasG/explodemap> "A Hierarchical Vector-Based Framework for Multi-Scale Exploded-View Cartography".
License: MIT + file LICENSE
URL: https://prigasg.github.io/explodemap/, https://github.com/PrigasG/explodemap
BugReports: https://github.com/PrigasG/explodemap/issues
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, htmlwidgets, purrr, rlang, sf, utils
Suggests: knitr, rmarkdown, shiny, testthat (>= 3.0.0), tigris
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-05-20 20:17:52 UTC; priga
Author: George Arthur [aut, cre]
Maintainer: George Arthur <prigasgenthian48@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 20:10:29 UTC

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Package Rvoterdistance readmission to version 2.0.0 with previous version 1.1 dated 2017-03-20

Title: Voter Distance to Polling Locations
Description: Calculates the distance between each voter in a voter file (given lat/long coordinates or sf point geometries) and multiple polling or vote-by-mail drop box locations. Returns nearest location, k-nearest locations, or all locations within a distance threshold. Core computation uses the Haversine formula implemented in C++ via 'Rcpp'.
Author: Loren Collingwood [aut, cre]
Maintainer: Loren Collingwood <lcollingwood@unm.edu>

This is a re-admission after prior archival of version 1.1 dated 2017-03-20

Diff between Rvoterdistance versions 1.1 dated 2017-03-20 and 2.0.0 dated 2026-05-27

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New package realestatebr with initial version 1.0.0
Package: realestatebr
Title: Import Brazilian Real Estate Data into R
Version: 1.0.0
Description: Provides access to Brazilian real estate market data from multiple official sources: the Central Bank of Brazil (BCB) <https://www.bcb.gov.br/>, the Brazilian Association of Real Estate Developers (ABRAINC) <https://abrainc.org.br/>, the Brazilian Association of Real Estate Credit and Savings Entities (ABECIP) <https://www.abecip.org.br/>, the Getulio Vargas Foundation (FGV) <https://portalibre.fgv.br/>, and the Bank for International Settlements (BIS) <https://www.bis.org/>.
License: MIT + file LICENSE
URL: https://github.com/viniciusoike/realestatebr, https://viniciusoike.github.io/realestatebr/
BugReports: https://github.com/viniciusoike/realestatebr/issues
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1.0)
Imports: cli, dplyr, httr, janitor, lubridate, purrr, rappdirs, rbcb, readr, readxl, rlang, rvest, stringr, tibble, tidyr, tidyxl, xml2, yaml, zoo
Suggests: geobr, ggplot2, kableExtra, knitr, piggyback, pkgdown, RcppRoll, rmarkdown, scales, sf, stringi, targets, tarchetypes, testthat, trendseries
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-20 13:59:01 UTC; viniciusreginatto
Author: Vinicius Oike Reginatto [aut, cre, cph]
Maintainer: Vinicius Oike Reginatto <viniciusoike@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 19:50:02 UTC

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New package masc with initial version 0.1.0
Package: masc
Title: Simulate the Multi-Attribute Search and Choice (MASC) Model
Version: 0.1.0
Description: Simulates the Multi-Attribute Search and Choice (MASC) model of Gluth, Deakin and Rieskamp (2026) <doi:10.1037/rev0000614> for multi-attribute decision-making, including sequential information search, Bayesian belief updating, and choice. Beliefs may be treated as univariate (independent attributes), or multivariate over correlated attributes ('MASC-C'), in which observing one attribute updates beliefs about correlated attributes via a Kalman filter.
License: MIT + file LICENSE
Imports: Rcpp, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), broom, patchwork, ggplot2, dplyr, tibble, purrr
Encoding: UTF-8
URL: https://github.com/kiante-fernandez/masc
BugReports: https://github.com/kiante-fernandez/masc/issues
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: yes
Packaged: 2026-05-20 15:52:30 UTC; kiante
Author: Kiante Fernandez [aut, cre, cph]
Maintainer: Kiante Fernandez <kiantefernan@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 19:50:10 UTC

More information about masc at CRAN
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New package MacroFilters with initial version 0.1.0
Package: MacroFilters
Title: Robust Trend-Cycle Decomposition for Macroeconomic Time Series
Version: 0.1.0
Description: Provides high-performance tools for macroeconomic trend extraction and filtering, specifically designed to solve the end-point problem in real-time. Implements the MacroBoost Hybrid (MBH) filter using penalized P-splines and gradient boosting. Unlike the standard Hodrick-Prescott filter, 'MacroFilters' utilizes component-wise L2-boosting with robust loss functions (Huber) to handle extreme transient shocks (e.g., COVID-19) without inducing spurious trend shifts. The algorithm includes an automated two-layer diagnostic stage for unit roots and structural breaks, optimized via corrected AICc for computational efficiency. Methodology detailed in Kinel (2026) <doi:10.2139/ssrn.6371138>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
URL: https://github.com/michal0091/MacroFilters, https://michal0091.github.io/MacroFilters/
BugReports: https://github.com/michal0091/MacroFilters/issues
Imports: Matrix, mboost, tseries
Suggests: data.table, ggplot2, knitr, rmarkdown, scales, strucchange, testthat (>= 3.0.0), usethis, xts, zoo
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-20 16:46:23 UTC; miki
Author: Michal Kinel [aut, cre]
Maintainer: Michal Kinel <michal.kinel@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-05-27 20:00:07 UTC

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New package libipldr with initial version 0.1.1
Package: libipldr
Title: R Bindings to the 'Rust' 'IPLD' Library
Version: 0.1.1
Description: Provides R bindings to decode DAG-CBOR (Directed Acyclic Graph Concise Binary Object Representation) encoded data, CIDs (Content Identifiers), and CAR (Content Addressable aRchive) files using the 'Rust' 'IPLD' (InterPlanetary Linked Data) library <https://github.com/ipld/libipld>. This is especially useful for working with data from 'IPFS' (InterPlanetary File System) and 'AtProto' (Bluesky) applications.
License: MIT + file LICENSE
URL: https://github.com/JBGruber/libipldr
BugReports: https://github.com/JBGruber/libipldr/issues
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.65
Suggests: testthat (>= 3.0.0), rextendr (>= 0.2.0), httr2, jsonlite, spelling
Depends: R (>= 4.2)
Language: en-US
NeedsCompilation: yes
Packaged: 2026-05-20 11:44:19 UTC; johannes
Author: Johannes B. Gruber [aut, cre] , Ilya Siamionau [ctb]
Maintainer: Johannes B. Gruber <JohannesB.Gruber@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 19:40:02 UTC

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New package klineR with initial version 0.1.1
Package: klineR
Title: Candlestick Pattern Detection and Stock Screening
Version: 0.1.1
Description: Detects classical candlestick patterns and structure-based chart patterns from open, high, low, close, and volume (OHLCV) time series and provides reusable stock-screening workflows. Built-in detectors include single- and multi-candle patterns, trend structures such as double bottoms and ascending triangles, and a configurable "golden pit" recovery setup. Includes a unified API to run pattern scans across one or many symbols. Methods are informed by Nison (2001, ISBN:9780735201811) "Japanese Candlestick Charting Techniques" and Bulkowski (2021, ISBN:9781119739685) "Encyclopedia of Chart Patterns".
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/statlearner123/klineR
BugReports: https://github.com/statlearner123/klineR/issues
NeedsCompilation: no
Packaged: 2026-05-20 14:53:18 UTC; supo
Author: po su [aut, cre]
Maintainer: po su <1848269440@qq.com>
Repository: CRAN
Date/Publication: 2026-05-27 19:50:16 UTC

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New package inferMM with initial version 0.0.2
Package: inferMM
Title: Variance-Aware Michaelis-Menten Estimation and Inference
Version: 0.0.2
Description: Variance-aware Michaelis-Menten estimation, model screening, grouped enzyme-kinetic analyses, and clustered repeated-measurement workflows. The package implements profile-score estimators under working variance functions, together with a lightweight cluster-aware working-covariance extension, Wald and bootstrap confidence intervals, prediction utilities, and simulation helpers. Related methodology is discussed by Kim and Ma (2012) <doi:10.1007/s10463-011-0332-y>, Kim (2023) <doi:10.1002/sta4.606>, and Ma and Genton (2010) <doi:10.1111/j.1467-9868.2010.00741.x>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: graphics, grDevices, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-20 03:15:42 UTC; mijeongkim
Author: Mijeong Kim [aut, cre], Minkyoung Cha [aut], Ah Young Jeong [aut]
Maintainer: Mijeong Kim <m.kim@ewha.ac.kr>
Repository: CRAN
Date/Publication: 2026-05-27 19:20:02 UTC

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New package ICCDesign with initial version 0.1.0
Package: ICCDesign
Title: Intraclass Correlation Coefficient (ICC) Design, Calculation and Interactive 'shiny' Toolkit
Version: 0.1.0
Description: A comprehensive toolkit for intraclass correlation coefficient (ICC) analysis, integrating three core functionalities: (1) Closed-form sample size calculation for ICC estimation with assurance probability, based on Zou (2012) <doi:10.1002/sim.5466>; (2) Full implementation of all 10 ICC types (6 common + 4 supplementary) for point estimation, exact confidence interval calculation, and formal hypothesis testing, following the methods of McGraw & Wong (1996) <doi:10.1037/1082-989X.1.1.30> and the standard decision framework; (3) An interactive 'shiny' application that guides users through ICC type selection, performs calculations, and provides reliability evaluation based on the Koo & Li (2016) <doi:10.1016/j.jcm.2016.02.012> criteria. Compared to existing packages, it provides a unified decision workflow and supports all less common ICC variants.
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Imports: stats, shiny
Suggests: testthat, knitr, rmarkdown
Encoding: UTF-8
LazyData: false
URL: https://github.com/KlariZhang/ICCDesign
BugReports: https://github.com/KlariZhang/ICCDesign/issues
NeedsCompilation: no
Packaged: 2026-05-20 14:44:14 UTC; Lenovo
Author: Ziyu Liu [aut, cre], Ruilin Ma [aut], Chenge Gao [aut], Yundan Zhang [aut]
Maintainer: Ziyu Liu <1755454769@qq.com>
Repository: CRAN
Date/Publication: 2026-05-27 19:50:21 UTC

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New package dbSpatial with initial version 0.1.1
Package: dbSpatial
Title: Spatial Data Operations for Database-Backed Geometries
Version: 0.1.1
Description: Provides database-backed spatial geometry classes and methods for working with vector spatial data in 'DuckDB'. The package supports loading, converting, querying, joining, and measuring spatial geometries through familiar 'sf'-style interfaces while keeping geometry columns lazy inside the database. It integrates with 'dbProject' to preserve database paths, live connections, and spatial table metadata across interactive sessions. The package follows the Simple Features framework described by Pebesma (2018) <doi:10.32614/RJ-2018-009> and uses DuckDB's spatial extension <https://duckdb.org/docs/stable/core_extensions/spatial/overview.html>.
License: GPL-3 | MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: methods, tools, DBI, duckdb (>= 1.4.0), dplyr, dbplyr, terra, sf, e1071, lifecycle, crayon, checkmate, cli, rlang, glue, tidyselect, dbProject
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/dbverse-org/dbspatial-r, https://dbverse-org.github.io/dbspatial-r/
BugReports: https://github.com/dbverse-org/dbspatial-r/issues
NeedsCompilation: no
Packaged: 2026-05-20 12:22:23 UTC; ecruiz
Author: Edward C. Ruiz [aut, cre] , Jiaji George Chen [aut], Ruben Dries [aut, rev]
Maintainer: Edward C. Ruiz <ecr7407@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 19:40:07 UTC

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New package clusteredMSM with initial version 0.1.0
Package: clusteredMSM
Title: Nonparametric Analysis of Clustered Multistate Processes
Version: 0.1.0
Description: Nonparametric estimation of population-averaged transition probabilities, with cluster-bootstrap pointwise confidence intervals, simultaneous confidence bands, and two-sample Kolmogorov-Smirnov-type tests for clustered or independent multistate process data. Estimation follows Bakoyannis (2021) <doi:10.1111/biom.13327>; two-sample inference for the cluster-randomized and independent-samples designs follows Bakoyannis and Bandyopadhyay (2022) <doi:10.1007/s10463-021-00819-x>. Both methods use the working-independence Aalen-Johansen estimator. The package supports both progressive (acyclic) and non-monotone (e.g., illness-death with recovery) multistate processes, right censoring, left truncation, and informative cluster size. The user supplies data in interval format (one row per mutually-exclusive time interval per subject) and interacts with the package through a single formula-based function, patp().
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: survival, stats, utils
Suggests: mstate, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/gbakoyannis/clusteredMSM
BugReports: https://github.com/gbakoyannis/clusteredMSM/issues
NeedsCompilation: no
Packaged: 2026-05-20 02:07:01 UTC; giorgos
Author: Giorgos Bakoyannis [aut, cre]
Maintainer: Giorgos Bakoyannis <gbakogia@iu.edu>
Repository: CRAN
Date/Publication: 2026-05-27 19:20:08 UTC

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New package CellWindX with initial version 1.0.0
Package: CellWindX
Title: Marker Gene Analysis and Visualization for Single-Cell Data
Version: 1.0.0
Description: Provides a 'Seurat'-compatible toolkit for marker gene identification, expression summarization, and visualization of annotated single-cell transcriptomic data. 'CellWindX' identifies top cell-type-enriched markers, calculates marker expression percentages and average expression values across cell groups, and generates publication-oriented dimensional reduction plots, marker heatmaps, and gene-level radar plots. The package includes built-in aesthetic palettes and supports both exploratory analysis and downstream figure preparation for single-cell atlas studies. The workflow is designed to complement single-cell analysis frameworks such as 'Seurat' described by Satija et al. (2015) <doi:10.1038/nbt.3192> and Hao et al. (2021) <doi:10.1016/j.cell.2021.04.048>, as well as heatmap visualization methods implemented in 'ComplexHeatmap' described by Gu et al. (2016) <doi:10.1093/bioinformatics/btw313>.
License: GPL-3
Encoding: UTF-8
Imports: circlize, ComplexHeatmap, dplyr, ggplot2, grDevices, grid, Matrix, patchwork, Seurat, tidyr, stats
Suggests: SeuratObject
NeedsCompilation: no
Packaged: 2026-05-20 13:36:35 UTC; young
Author: Xiaofeng Yang [aut, cre] , Shan Li [aut]
Maintainer: Xiaofeng Yang <Youngxf02@163.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-05-27 19:50:27 UTC

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Package CDGHMM updated to version 0.1.3 with previous version 0.1.2 dated 2025-06-12

Title: Hidden Markov Models for Multivariate Panel Data
Description: Estimates hidden Markov models from the family of Cholesky-decomposed Gaussian hidden Markov models (CDGHMM) under various missingness schemes. This family improves upon estimation of traditional Gaussian HMMs by introducing parsimony, as well as, controlling for dropped out observations and non-random missingness. See Neal, Sochaniwsky and McNicholas (2024) <DOI:10.1007/s11222-024-10462-0>.
Author: Mackenzie R. Neal [aut, cre] , Alexa A. Sochaniwsky [aut], Paul D. McNicholas [aut]
Maintainer: Mackenzie R. Neal <nealm6@mcmaster.ca>

Diff between CDGHMM versions 0.1.2 dated 2025-06-12 and 0.1.3 dated 2026-05-27

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Package paleoDiv updated to version 0.4.12 with previous version 0.4.6 dated 2025-03-23

Title: Extracting and Visualizing Paleobiodiversity
Description: Contains various tools for conveniently downloading and editing taxon-specific datasets from the Paleobiology Database <https://paleobiodb.org>, extracting information on abundance, temporal distribution of subtaxa and taxonomic diversity through deep time, and visualizing these data in relation to phylogeny and stratigraphy.
Author: Darius Nau [aut, cre]
Maintainer: Darius Nau <dariusnau@gmx.at>

Diff between paleoDiv versions 0.4.6 dated 2025-03-23 and 0.4.12 dated 2026-05-27

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Package redatam updated to version 2.3.1 with previous version 2.3.0 dated 2026-05-17

Title: Import 'REDATAM' Files
Description: Import 'REDATAM' formats into R via the 'Open REDATAM' C++ library. The full context of this project and details about the implementation are available in <doi:10.1017/dap.2025.4> (Open Access).
Author: Mauricio Vargas Sepulveda [aut, cre] , Lital Barkai [aut], Ivan Krylov [ctb], Arseny Kapoulkine [ctb] , Oriental Republic of Uruguay [dtc]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>

Diff between redatam versions 2.3.0 dated 2026-05-17 and 2.3.1 dated 2026-05-27

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Package llamaR updated to version 0.2.4 with previous version 0.2.3 dated 2026-04-06

Title: Interface for Large Language Models via 'llama.cpp'
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.
Author: Yuri Baramykov [aut, cre] , Georgi Gerganov [cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

Diff between llamaR versions 0.2.3 dated 2026-04-06 and 0.2.4 dated 2026-05-27

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Package qch updated to version 2.1.3 with previous version 2.1.2 dated 2026-02-16

Title: Query Composite Hypotheses
Description: Provides functions for the joint analysis of Q sets of p-values obtained for the same list of items. This joint analysis is performed by querying a composite hypothesis, i.e. an arbitrary complex combination of simple hypotheses, as described in Mary-Huard et al. (2021) <doi:10.1093/bioinformatics/btab592> and De Walsche et al.(2025) <doi: 10.1093/nargab/lqaf118>. In this approach, the Q-uplet of p-values associated with each item is distributed as a multivariate mixture, where each of the 2^Q components corresponds to a specific combination of simple hypotheses. The dependence between the p-value series is considered using a Gaussian copula function. A p-value for the composite hypothesis test is derived from the posterior probabilities.
Author: Tristan Mary-Huard [aut, cre] , Annaig De Walsche [aut] , Franck Gauthier [ctb]
Maintainer: Tristan Mary-Huard <tristan.mary-huard@agroparistech.fr>

Diff between qch versions 2.1.2 dated 2026-02-16 and 2.1.3 dated 2026-05-27

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Package bravo updated to version 4.0.0 with previous version 3.2.2 dated 2024-10-29

Title: Bayesian Screening and Variable Selection
Description: Performs Bayesian variable screening and selection for ultra-high dimensional linear regression models.Also contains an user friendly web application to perform multi trait GWAS.
Author: Dongjin Li [aut, cre], Debarshi Chakraborty [aut], Somak Dutta [aut], Vivekananda Roy [ctb]
Maintainer: Dongjin Li <liyangxiaobei@gmail.com>

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Package WARDEN updated to version 2.0.3 with previous version 2.0.2 dated 2026-03-18

Title: Workflows for Health Technology Assessments in R using Discrete EveNts
Description: Toolkit to support and perform discrete event simulations with and without resource constraints in the context of health technology assessments (HTA). The package focuses on cost-effectiveness modelling and aims to be submission-ready to relevant HTA bodies in alignment with 'NICE TSD 15' <https://sheffield.ac.uk/nice-dsu/tsds/patient-level-simulation>. More details an examples can be found in the package website <https://jsanchezalv.github.io/WARDEN/>.
Author: Javier Sanchez Alvarez [aut, cre], Gabriel Lemyre [ctb], Valerie Aponte Ribero [ctb]
Maintainer: Javier Sanchez Alvarez <javiersanchezeco@gmail.com>

Diff between WARDEN versions 2.0.2 dated 2026-03-18 and 2.0.3 dated 2026-05-27

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Package TLCAR updated to version 0.1.1 with previous version 0.1.0 dated 2024-02-19

Title: Computation of Topp-Leone Cauchy Rayleigh (TLCAR ) distribution's properties
Description: Provides a comprehensive suite of statistical tools for analyzing, simulating, and computing properties of the Topp-Leone Cauchy Rayleigh (TLCAR) distribution, a versatile distribution amalgamating features of the Topp-Leone, Cauchy, and Rayleigh distributions, ideal for modeling intricate, heterogeneous data across scientific domains. See Atchadé, M.N., Bogninou, M.J., and Djibril, A.M. (2023) <doi:10.1007/s44199-023-00066-4> and Atchadé, M.N., Bogninou, M.J., and Djibril, A.M. (2024) <doi:10.1007/s44199-023-00069-1> for further insights.
Author: Mintode Nicodeme Atchade [aut], Jude Mahoule Bogninou [aut, cre]
Maintainer: Jude Mahoule Bogninou <mahoulejude2001@gmail.com>

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Package ReliaPlotR updated to version 0.6 with previous version 0.5 dated 2026-04-18

Title: Interactive Reliability Probability Plots
Description: Build interactive Reliability Probability Plots with 'plotly' by Carson Sievert (2020) <https://plotly.com/r/>, an interactive web-based graphing library.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

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Package mini007 updated to version 0.4.0 with previous version 0.3.0 dated 2026-01-12

Title: Lightweight Framework for Orchestrating Multi-Agent Large Language Models
Description: Provides tools for creating agents with persistent state using R6 classes <https://cran.r-project.org/package=R6> and the 'ellmer' package <https://cran.r-project.org/package=ellmer>. Tracks prompts, messages, and agent metadata for reproducible, multi-turn large language model sessions.
Author: Mohamed El Fodil Ihaddaden [aut, cre]
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>

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Package secr updated to version 5.4.3 with previous version 5.4.2 dated 2026-02-24

Title: Spatially Explicit Capture-Recapture
Description: Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, or by searching polygons or transects. Models incorporating distance-dependent detection are fitted by maximizing the likelihood. Tools are included for data manipulation and model selection.
Author: Murray Efford [aut, cre] , Philipp Jund [ctb] , David Fletcher [ctb] , Yan Ru Choo [ctb]
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

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Package ReliaLearnR updated to version 0.5 with previous version 0.3 dated 2026-01-06

Title: Learning Modules for Reliability Analysis
Description: Learning modules for reliability analysis including modules for Reliability, Availability, and Maintainability (RAM) Analysis, Life Data Analysis, Reliability Testing, Repairable Systems Analysis, and Reliability Block Diagrams.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

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Package POMADE updated to version 0.2.1 with previous version 0.2.0 dated 2024-02-13

Title: Power for Meta-Analysis of Dependent Effects
Description: Provides functions to compute and plot power levels, minimum detectable effect sizes, and minimum required sample sizes for the test of the overall average effect size in meta-analysis of dependent effect sizes.
Author: Mikkel H. Vembye [aut, cre] , James E. Pustejovsky [aut]
Maintainer: Mikkel H. Vembye <mikkel.vembye@gmail.com>

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Package jskm updated to version 0.6.3 with previous version 0.6.2 dated 2026-03-17

Title: Kaplan-Meier Plot with 'ggplot2'
Description: The function 'jskm()' creates publication quality Kaplan-Meier plot with at risk tables below. 'svyjskm()' provides plot for weighted Kaplan-Meier estimator.
Author: Jinseob Kim [aut, cre] , yoonkyoung Chun [aut], Zarathu [cph, fnd], sungho Choi [aut], Mingu Jee [aut], Wonbin Hahn [aut], Taehong Kim [aut], Sangho Oh [aut], Sewon Lee [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package jewel updated to version 2.0.3 with previous version 2.0.2 dated 2024-05-22

Title: Graphical Models Estimation from Multiple Sources
Description: Estimates networks of conditional dependencies (Gaussian graphical models) from multiple classes of data (similar but not exactly, i.e. measurements on different equipment, in different locations or for various sub-types). Package also allows to generate simulation data and evaluate the performance. Implementation of the method described in Angelini, De Canditiis and Plaksienko (2022) <doi:10.3390/math10213983>.
Author: Anna Plaksienko [aut, cre] , Claudia Angelini [aut] , Daniela De Canditiis [aut]
Maintainer: Anna Plaksienko <anna@plaxienko.com>

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New package ridgeBART with initial version 1.0.2
Package: ridgeBART
Title: Bayesian Additive Regression Trees with Ridge Function Outputs
Version: 1.0.2
Date: 2026-05-19
Description: Implements an extension of Bayesian Additive Regression Trees (BART) in which each regression tree outputs a linear combination of random ridge functions (i.e., a composition of a non-linear function like cosine, hyperbolic tangent, the rectified linear unit with an affine transformation) instead of a constant. Can be used to perform "targeted smoothing" in which trees split on certain covariates but output smooth functions in other covariates. For more information, see Yee, Ghosh, and Deshpande (2026+) <doi:10.48550/arXiv.2411.07984>.
URL: https://github.com/ryanyee3/ridgeBART
License: GPL (>= 3)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp
NeedsCompilation: yes
Packaged: 2026-05-19 13:54:58 UTC; sameer
Author: Ryan Yee [aut] , Sameer K. Deshpande [aut, cre]
Maintainer: Sameer K. Deshpande <sameer.deshpande@wisc.edu>
Repository: CRAN
Date/Publication: 2026-05-27 10:30:02 UTC

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Package movedesign updated to version 0.3.3 with previous version 0.3.2 dated 2025-07-30

Title: Study Design Toolbox for Movement Ecology Studies
Description: Toolbox and 'shiny' application to help researchers design movement ecology studies, focusing on two key objectives: estimating home range areas, and estimating fine-scale movement behavior, specifically speed and distance traveled. It provides interactive simulations and methodological guidance to support study planning and decision-making. The application is described in Silva et al. (2023) <doi:10.1111/2041-210X.14153>.
Author: Ines Silva [cre, aut, cph]
Maintainer: Ines Silva <i.simoes-silva@hzdr.de>

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New package twoPhaseGAS with initial version 1.2.5
Package: twoPhaseGAS
Title: Two-Phase Genetic Association Study Design and Analysis with Missing Covariates by Design
Version: 1.2.5
Description: Provides functionality for designing and analysing two-phase genetic association studies. Phase 1 data usually come from genome-wide association study (GWAS) results and we assume phase 2 data will be part of a targeted genome sequencing or fine-mapping study. At design stage, the package assists in selecting a subset of individuals that will be sequenced for phase 2 via alternative approaches, including a flexible genetic algorithm (GA) for near-optimal designs. Once phase 2 data have been collected, the package implements methods to analyse phase 1 and phase 2 data together using semi-parametric regression models via the expectation-maximization (EM) algorithm. For more details see Espin-Garcia, Craiu and Bull (2018) <doi:10.1002/gepi.22099> and Espin-Garcia, Craiu and Bull (2021) <doi:10.1002/sim.9211>.
License: GPL (>= 2)
URL: https://github.com/egosv/twoPhaseGAS
BugReports: https://github.com/egosv/twoPhaseGAS/issues
Depends: R (>= 3.5.0)
Imports: data.table, dfoptim, enrichwith, kofnGA (>= 1.2), MASS, Matrix, nloptr, parallel, stats, utils
Suggests: gplots, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-05-19 16:07:48 UTC; osvespinga
Author: Osvaldo Espin-Garcia [aut, cre], Apostolos Dimitromanolakis [aut], Radu V Craiu [ths], Shelley B Bull [ths]
Maintainer: Osvaldo Espin-Garcia <oespinga@uwo.ca>
Repository: CRAN
Date/Publication: 2026-05-27 10:00:02 UTC

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New package qcaERT with initial version 0.1.0
Package: qcaERT
Title: Enhanced Robustness Tests for Qualitative Comparative Analysis
Version: 0.1.0
Description: Provides functions for assessing and visualizing robustness in Qualitative Comparative Analysis (QCA) workflows built with the 'QCA' package, including calibration thresholds, inclusion cutoffs, frequency cutoffs, case influence, subsample stability, alternative analysis settings, theory-specific condition sets, cluster-specific patterns, and solution summaries. Methods build on Dusa (2019) <doi:10.1007/978-3-319-75668-4> and Ragin (2014, ISBN:9780520280038).
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr, rmarkdown
Imports: methods, QCA, stats, utils
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-19 15:11:56 UTC; breno
Author: Breno A. H. Marisguia [aut, cre, cph]
Maintainer: Breno A. H. Marisguia <marisguiabreno@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 10:00:09 UTC

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New package nara with initial version 1.0.1
Package: nara
Title: Native Raster Image Tools
Version: 1.0.1
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
Description: Native rasters are a core R image format which use a compact color representation. This color representation closely aligns with graphics device internals meaning that these images can be rendered quickly. This package provides functions to quickly create, manipulate and composite native rasters.
URL: https://github.com/coolbutuseless/nara, https://coolbutuseless.github.io/package/nara/index.html
BugReports: https://github.com/coolbutuseless/nara/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LinkingTo: colorfast
Depends: R (>= 4.1.0)
Imports: colorfast
Suggests: testthat (>= 3.0.0), jpeg, fastpng, png, knitr, rmarkdown, magick
Copyright: The included 'deer' sprites are by Calciumtrice and licensed under CC BY 3.0. See 'inst/LICENSE-deer.txt' for more details. The included bitmap font 'spleen' was created by Frederic Cambus (c) 2018-2024. See 'inst/LICENSE-spleen.txt' for full LICENSE
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-05-19 12:07:33 UTC; mike
Author: Mike Cheng [aut, cre, cph], Julien Vernay [ctb]
Repository: CRAN
Date/Publication: 2026-05-27 09:30:02 UTC

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New package landmaRk with initial version 0.1.1
Package: landmaRk
Title: Time-to-Event Landmark Analysis using an Array of Longitudinal and Survival Sub-Models
Version: 0.1.1
Description: Provides a modular end-to-end framework for dynamic risk prediction based on time-to-event and longitudinal data. This allows flexible specifications for the longitudinal and survival sub-models. The 'landmaRk' package enables reproducible benchmarks of different model choices, including cross-validation to assess out-of-sample predictive performance. Methods are described in Velasco-Pardo, Constantine-Cooke, Lees and Vallejos (2026, manuscript under preparation) 'Landmarking with Latent Class Mixed Models for Dynamic Prediction of Time-to-event Data with Heterogeneous Biomarker Trajectories'.
License: GPL (>= 3)
BugReports: https://github.com/VallejosGroup/landmaRk/issues
Encoding: UTF-8
Depends: R (>= 4.1.0), survival
Imports: dplyr, ggplot2, lme4, Matrix, methods, pec, riskRegression, rlang, lcmm (>= 2.2.2), doParallel, foreach, utils, timeROC, prodlim
Suggests: JMbayes2, knitr, rmarkdown, testthat (>= 3.0.0), xml2, tidyverse, spelling, joineR, survminer, withr
LazyData: true
VignetteBuilder: knitr
URL: https://vallejosgroup.github.io/landmaRk/, https://github.com/VallejosGroup/landmaRk
Language: en-GB
NeedsCompilation: no
Packaged: 2026-05-18 09:12:58 UTC; vvelasco
Author: Victor Velasco-Pardo [aut, cre] , Nathan Constantine-Cooke [aut] , Catalina Vallejos [aut] , Charlie Lees [aut]
Maintainer: Victor Velasco-Pardo <vvelasco@ed.ac.uk>
Repository: CRAN
Date/Publication: 2026-05-27 10:00:16 UTC

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New package icomb with initial version 0.2.0
Package: icomb
Title: Forecasting Hierarchical Time Series Using Information Combination
Version: 0.2.0
Description: Implements the Information Combination (IComb) approach proposed by Nguyen, Vahid and Wickramasuriya (2025)<https://www.monash.edu/business/ebs/research/publications/ebs/2025/wp11-2025.pdf> for hierarchical forecast reconciliation. The method combines information from base forecasts constructed using different information sets while ensuring coherence. It is implemented using a penalized regression-based framework.
License: GPL (>= 3)
Language: en-US
Encoding: UTF-8
Imports: cli, distributional, dplyr, fabletools (>= 0.7.0), future.apply, generics, glmnet, progressr, purrr, tsibble, vctrs
Suggests: broom, fable, feasts, forecast, future, ggplot2, ggtime, hts, knitr, lubridate, plotly, rmarkdown, spelling, testthat (>= 3.0.0), tibble, tidyr
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
URL: https://shanikalw.github.io/icomb/, https://github.com/ShanikaLW/icomb
BugReports: https://github.com/ShanikaLW/icomb/issues
NeedsCompilation: no
Packaged: 2026-05-19 12:53:03 UTC; shanikaw
Author: Shanika Wickramasuriya [aut, cre, cph], Mitchell O'Hara-Wild [ctb], Nuwani Palihawadana [ctb], Minh Nguyen [ctb]
Maintainer: Shanika Wickramasuriya <shanika.wickramasuriya@monash.edu>
Repository: CRAN
Date/Publication: 2026-05-27 09:30:08 UTC

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New package icdhelper with initial version 0.1.2
Package: icdhelper
Title: Simple 'ICD-10' Code Descriptions
Version: 0.1.2
Description: Provides utilities to retrieve and manage 'ICD-10' code descriptions from 'Excel' files. Supports vectors, data frame columns, and association rule outputs (e.g., 'arules' objects) that require mapping to 'ICD-10' descriptions. Designed to simplify processing of healthcare datasets.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: readxl, arules, utils
NeedsCompilation: no
Packaged: 2026-05-19 13:09:05 UTC; nishg
Author: Nisha Sheshashayee [aut, cre]
Maintainer: Nisha Sheshashayee <sheshana@mail.uc.edu>
Repository: CRAN
Date/Publication: 2026-05-27 09:40:02 UTC

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New package hmmTensor with initial version 0.1.0
Package: hmmTensor
Title: Hidden Markov Model by Matrix and Tensor Decomposition
Version: 0.1.0
Description: Solves Hidden Markov Models (HMMs) via matrix and tensor decomposition. Converts observation sequences to co-occurrence matrices/tensors and applies Symmetric Non-negative Matrix Factorization (symNMF), Singular Value Decomposition (SVD), CANDECOMP/PARAFAC (CP) decomposition, or Tensor-Train (TT) decomposition to recover HMM parameters. Also provides standard HMM algorithms (Forward, Backward, Viterbi, Baum-Welch) for comparison. The spectral learning approach for HMMs is based on Hsu, Kakade, and Zhang (2012) <doi:10.1016/j.jcss.2011.12.025>. The symNMF method is described in Kuang, Yun, and Park (2015) <doi:10.1007/s10898-014-0247-2>. The Tensor-Train decomposition is described in Oseledets (2011) <doi:10.1137/090752286>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: rTensor, symTensor, methods, stats
Suggests: testthat
NeedsCompilation: no
Packaged: 2026-05-19 11:03:11 UTC; koki
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>
Repository: CRAN
Date/Publication: 2026-05-27 09:10:02 UTC

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New package highdir with initial version 0.5.0
Package: highdir
Title: Backend-Agnostic Figure Builder for 'highcharter' and 'ggplot2'
Version: 0.5.0
Description: Provides a backend-agnostic 'API' for creating data visualizations using 'highcharter' (interactive) or 'ggplot2' (static). Figures are defined once via a specification object and can be rendered to either backend without modifying the calling code. Supports both declarative and layered workflows, flexible theming and colour palettes, optional 'JavaScript' enhancements, and tools for exporting figures and interactive exploration via a 'shiny' app.
URL: https://folkehelsestats.github.io/highdir/, https://github.com/folkehelsestats/highdir
BugReports: https://github.com/folkehelsestats/highdir/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: highcharter (>= 0.9.4), ggplot2 (>= 3.4.0), htmlwidgets (>= 1.6.0), jsonlite (>= 1.8.0), rlang (>= 1.1.0), viridis (>= 0.6.0), shiny (>= 1.7.0), tools, utils, stats
Suggests: sf (>= 1.0.0), maps (>= 3.4.0), webshot2, bslib (>= 0.7.0), testthat (>= 3.0.0), withr (>= 2.5.0), data.table, knitr, rmarkdown, tibble
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-19 13:26:55 UTC; ykama
Author: Yusman Kamaleri [aut, cre]
Maintainer: Yusman Kamaleri <ybkamaleri@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 09:40:06 UTC

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New package ggsql with initial version 0.3.2
Package: ggsql
Title: Grammar of Graphics for SQL
Version: 0.3.2
Description: Allows you to write queries that combine SQL (Structured Query Language) data retrieval with visualization specifications in a single, composable syntax. The 'ggsql' package binds directly with the 'ggsql' 'Rust' library and allows you to set up readers and writers and execute queries against it. The package also offers 'knitr' and 'shiny' integration allowing the user to use 'ggsql' in both frameworks.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc, ODBC driver manager (unixODBC on Linux, iODBC or unixODBC on macOS; built into Windows)
Imports: cli, htmltools, htmlwidgets, jsonlite, knitr, nanoarrow, R6, rlang (>= 1.1.0), yaml
Suggests: gapminder, quarto, reticulate, rmarkdown, rsvg, shiny, testthat (>= 3.0.0), V8, withr
Depends: R (>= 4.2)
VignetteBuilder: quarto
URL: https://r.ggsql.org, https://github.com/posit-dev/ggsql-r
BugReports: https://github.com/posit-dev/ggsql-r/issues
NeedsCompilation: yes
Packaged: 2026-05-19 08:24:47 UTC; thomas
Author: Thomas Lin Pedersen [aut, cre] , George Stagg [aut] , Teun van den Brand [aut] , Posit, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>
Repository: CRAN
Date/Publication: 2026-05-27 09:10:08 UTC

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New package ggcube with initial version 0.1.0
Package: ggcube
Title: 3D Plotting with 'ggplot2'
Version: 0.1.0
Description: A 'ggplot2' extension for creating 3D figures. Provides 3D geoms, stats, and a coord_3d() coordinate system supporting rotation, perspective, and lighting.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/matthewkling/ggcube, https://matthewkling.github.io/ggcube/
BugReports: https://github.com/matthewkling/ggcube/issues
Depends: R (>= 3.5), ggplot2
Imports: dplyr, tidyr, stringr, scales, rlang, grid, lifecycle, labeling, purrr, magrittr, polyclip, isoband, systemfonts
Suggests: alphashape3d, av, base64enc, geometry, gifski, knitr, MASS, mgcv, patchwork, progress, ragg, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-19 15:35:57 UTC; matthewkling
Author: Matthew Kling [aut, cre, cph]
Maintainer: Matthew Kling <mattkling@berkeley.edu>
Repository: CRAN
Date/Publication: 2026-05-27 10:00:23 UTC

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New package CoalescentPhylo with initial version 0.1.0
Package: CoalescentPhylo
Title: Phylogenetics via Root Distances Method Under the Coalescent
Version: 0.1.0
Description: Estimates phylogenetic trees from allele count data using the root distance method under the Coalescent Model. Given a matrix of allele counts across taxa and loci, the package estimates pairwise root distances under the Coalescent Model using maximum likelihood estimation. Then, it estimates a labeled phylogenetic tree from the estimated root distances. See Peng et al. (2021) <doi:10.1016/j.ympev.2021.107142>.
License: AGPL-3
URL: https://github.com/ArindamRoyChoudhury/CoalescentPhylo
BugReports: https://github.com/ArindamRoyChoudhury/CoalescentPhylo/issues
Depends: R (>= 3.5.0)
Imports: ape, parallel, pbapply, phangorn, rootSolve
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-05-19 13:55:39 UTC; yingli
Author: Arindam RoyChoudhury [aut, cre, cph], Ying Li [aut]
Maintainer: Arindam RoyChoudhury <arr2014@med.cornell.edu>
Repository: CRAN
Date/Publication: 2026-05-27 09:50:02 UTC

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New package BIOEFIC with initial version 0.1.1
Package: BIOEFIC
Title: Relative Bioefficiency via Simultaneous Regressions
Version: 0.1.1
Description: Fits simultaneous regression models to compare two sources (reference and test) and estimates relative bioefficiency. Includes simultaneous exponential model with common asymptote (model = 1), slope-ratio model (model = 2), quadratic model (model = 3), linear-response plateau model (model = 4), and Michaelis-Menten model (model = 5). Output style follows the 'easyreg' package. Methods are based on Finney (1978, ISBN:0-85264-252-0), Mercer et al. (1978) <doi:10.1093/jn/108.8.1244>, Robbins et al. (1979) <doi:10.1093/jn/109.10.1710>, Noll et al. (1984) <doi:10.3382/ps.0632458>, Gallant and Fuller (1973) <doi:10.1080/01621459.1973.10481356>, Littell et al. (1997) <doi:10.2527/1997.75102672x>, and Burnham and Anderson (2002, ISBN:978-0-387-95364-9).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: ggplot2, minpack.lm, stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-19 11:51:52 UTC; Michel
Author: Michel Blezins de Arruda [aut, cre]
Maintainer: Michel Blezins de Arruda <michel_blezins@yahoo.com.br>
Repository: CRAN
Date/Publication: 2026-05-27 09:20:07 UTC

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New package astronomR with initial version 0.1.0
Package: astronomR
Title: Cosmic Insights: Statistical Frameworks for Astronomers
Version: 0.1.0
Description: A comprehensive toolkit for astronomical and cosmological computations. Provides functions for angular coordinate conversions (degrees, hours-minutes-seconds, degrees-minutes-seconds, and radians), access to fundamental physical constants, queries to the Gaia Archive TAP (Table Access Protocol) service, cosmological distance calculations, and early-universe thermal physics including photon density and 'Saha' equation solutions.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/samrit2442/astronomR
BugReports: https://github.com/samrit2442/astronomR/issues
Imports: dplyr, httr, jsonlite, pracma, readr, stringr, tibble, tidyr
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-19 12:08:19 UTC; samri
Author: Samrit Pramanik [aut, cre] , Kazi Abu Rousan [aut]
Maintainer: Samrit Pramanik <samrit.2442@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 09:20:02 UTC

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New package AIGovernance with initial version 0.1.0
Package: AIGovernance
Title: Statistical Auditing and Governance Reporting for Employment AI Systems
Version: 0.1.0
Description: Provides statistical auditing, risk documentation, and reporting tools to support AI governance workflows for employment and hiring decision systems. Implements the EEOC four-fifths adverse impact rule (Equal Employment Opportunity Commission, 1978, <https://www.ecfr.gov/current/title-29/subtitle-B/chapter-XIV/part-1607>), NYC Local Law 144 bias audit requirements (New York City, 2023, <https://www.nyc.gov/site/dca/about/automated-employment-decision-tools.page>), and the AI Risk Management Framework checklist items from the National Institute of Standards and Technology (2023, <doi:10.6028/NIST.AI.100-1>). Optionally supports EU AI Act high-risk classification (European Parliament and Council, 2024, <https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32024R1689>). The package does not provide legal advice or certify legal compliance; it is a statistical and documentation support tool.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: cli, rlang, stats, tibble, dplyr
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
URL: https://github.com/causalfragility-lab/AIGovernance
BugReports: https://github.com/causalfragility-lab/AIGovernance/issues
NeedsCompilation: no
Packaged: 2026-05-19 14:37:57 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-05-27 09:50:07 UTC

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Package pwr2 (with last version 1.0) was removed from CRAN

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

2017-05-06 1.0

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Package rifle (with last version 1.0) was removed from CRAN

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2018-08-31 1.0

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Package radarchart (with last version 0.3.1) was removed from CRAN

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

2016-12-20 0.3.1
2016-05-09 0.2.0
2016-02-25 0.1.2
2016-02-23 0.1.1

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Package preseqR (with last version 4.0.0) was removed from CRAN

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

2018-06-27 4.0.0
2017-08-15 3.1.2
2017-07-27 3.1.1
2017-05-21 3.1.0
2017-04-19 3.0.1

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Package itsdm (with last version 0.2.2) was removed from CRAN

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

2025-07-01 0.2.2
2023-06-10 0.2.1
2023-01-15 0.2.0
2022-09-11 0.1.3
2022-06-20 0.1.2
2022-01-11 0.1.1
2022-01-07 0.1.0

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Package groupICA (with last version 0.1.1) was removed from CRAN

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2018-06-19 0.1.1

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Package foreSIGHT (with last version 2.0.0) was removed from CRAN

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

2025-09-14 2.0.0
2023-10-19 1.2.0
2022-10-25 1.1.0
2020-12-17 1.0.0
2019-12-04 0.9.81
2019-08-03 0.9.8

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Package ACSSpack (with last version 1.0.0.2) was removed from CRAN

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2025-10-11 1.0.0.2
2024-07-04 0.0.1.4

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Package PLMIX (with last version 2.2.0) was removed from CRAN

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2025-06-30 2.2.0
2019-09-04 2.1.1
2019-08-03 2.1.0
2018-05-02 2.0.1
2018-02-05 2.0
2016-12-21 1.0

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Package PSS.Health (with last version 1.1.5) was removed from CRAN

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2025-11-23 1.1.5
2024-12-20 1.1.4
2023-07-14 1.0.2
2023-06-16 1.0.1
2023-02-01 0.6.1
2022-07-06 0.5.1
2022-03-29 0.4.0
2021-10-07 0.3.1
2021-06-17 0.2.1
2021-04-08 0.1.6
2020-11-30 0.1.5
2020-11-12 0.1.4

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Package BayesGOF (with last version 5.2) was removed from CRAN

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2018-10-09 5.2
2018-10-05 5.1
2018-10-04 5.0
2018-08-15 4.2
2018-05-17 4.0
2018-04-13 3.0
2018-02-08 2.1
2018-01-05 1.4
2017-11-16 1.3

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Package BLRPM (with last version 1.0) was removed from CRAN

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2017-10-06 1.0

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Package HDCI (with last version 1.0-2) was removed from CRAN

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2017-06-06 1.0-2

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Package EESPCA (with last version 0.8.0) was removed from CRAN

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2025-07-21 0.8.0
2022-06-15 0.7.0
2022-05-16 0.6.0
2021-10-13 0.5.0
2021-10-06 0.4.0
2021-07-16 0.3.0

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Package LPRelevance (with last version 3.3) was removed from CRAN

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2022-05-18 3.3
2021-04-22 3.2
2020-05-16 3.1
2020-03-29 3.0
2019-10-07 2.1
2019-09-06 2.0
2019-08-05 1.0

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Package fastshap (with last version 0.1.1) was removed from CRAN

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2024-02-22 0.1.1
2023-06-06 0.1.0
2021-12-06 0.0.7
2021-12-03 0.0.6

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New package rxref with initial version 0.4.0
Package: rxref
Title: Tidy Utilities for RxNorm and NDC Resolution
Version: 0.4.0
Description: Provides a tidy, vectorized interface to the 'RxNorm' / 'RxNav' API for resolving drug names, RxCUIs, National Drug Codes (NDCs), and related drug concept metadata. The package supports workflows for mapping between drug names, RxCUIs, NDCs, ingredients, products, drug classes, and related concepts using data from the National Library of Medicine's 'RxNav' services <https://lhncbc.nlm.nih.gov/RxNav/APIs/> and 'RxNorm' <https://www.nlm.nih.gov/research/umls/rxnorm/>.
License: MIT + file LICENSE
URL: https://github.com/ssmithm/rxref, https://www.stevenmsmith.org/rxref/
BugReports: https://github.com/ssmithm/rxref/issues
Depends: R (>= 4.1)
Imports: cachem, cli, digest, dplyr, httr2 (>= 1.0.0), jsonlite, lifecycle, memoise, purrr, rlang, stringr, tibble, tidyr, vctrs
Suggests: curl, knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-05-19 05:18:07 UTC; ssmithm
Author: Steven Smith [aut, cre]
Maintainer: Steven Smith <ssmith@cop.ufl.edu>
Repository: CRAN
Date/Publication: 2026-05-27 08:50:02 UTC

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New package ParmOff with initial version 1.0.2
Package: ParmOff
Title: Complex Argument Matching
Version: 1.0.2
Date: 2026-05-19
Description: Allows for highly flexible and generic function argument matching.
License: LGPL-3
Encoding: UTF-8
Imports: checkmate
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, magicaxis
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-19 06:20:55 UTC; aaron
Author: Aaron Robotham [aut, cre]
Maintainer: Aaron Robotham <aaron.robotham@uwa.edu.au>
Repository: CRAN
Date/Publication: 2026-05-27 08:50:09 UTC

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New package mhn with initial version 0.1.0
Package: mhn
Title: The Modified Half-Normal Distribution
Version: 0.1.0
Description: Provides density, distribution, quantile, and random generation functions for the Modified Half-Normal (MHN) distribution, along with moments, mode, and the Fox-Wright Psi function used as the normalizing constant. The MHN distribution arises as a conditional posterior in Bayesian MCMC and generalizes the half-normal, truncated normal, and square-root gamma distributions. Implements efficient sampling via the Sun, Kong & Pal (2023) <doi:10.1080/03610926.2021.1934700> algorithms and the Gao & Wang (2025) <doi:10.1080/03610918.2025.2524551> RTDR method.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, Rcpp (>= 1.0.7)
LinkingTo: Rcpp, BH (>= 1.78.0-0)
SystemRequirements: C++17
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, bench, Rmpfr
VignetteBuilder: knitr
URL: https://github.com/t-momozaki/mhn, https://t-momozaki.github.io/mhn/
BugReports: https://github.com/t-momozaki/mhn/issues
NeedsCompilation: yes
Packaged: 2026-05-18 23:23:51 UTC; t_momozaki
Author: Tomotaka Momozaki [aut, cre]
Maintainer: Tomotaka Momozaki <momozaki.stat@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 08:30:02 UTC

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New package HelloFrog with initial version 0.1.1
Package: HelloFrog
Title: A Quirky ASCII-Art Frog Alternative to 'print'
Version: 0.1.1
Description: Prints a user-supplied message alongside a small ASCII-art frog in one of several moods (default, sleepy, angry, party, ninja). Designed as a quirky alternative to 'print' for adding visual flair to console output in scripts, demos, teaching materials, and command-line tools.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-05-19 06:36:42 UTC; linoyl
Author: Linoy Levi [aut, cre]
Maintainer: Linoy Levi <linoyl@jfrog.com>
Repository: CRAN
Date/Publication: 2026-05-27 08:50:14 UTC

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New package GEMSS with initial version 0.1.1
Package: GEMSS
Title: Generalization Error Minimization in SubSampling for Gaussian Processes
Version: 0.1.1
Description: Implements the Generalization Error Minimization in SubSampling (GEMSS) algorithm for sequential subdata selection in large-scale Gaussian process modeling (Chang, Hua, and Wu, 2026) <doi:10.1080/00401706.2026.2670596>. The method selects data points by a criterion consisting of predictive and space-filling parts, enabling efficient surrogate modeling for massive datasets.
License: GPL (>= 3)
Encoding: UTF-8
Imports: Rcpp (>= 1.0.0), hetGP, twinning
Suggests: ContourFunctions
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2026-05-19 09:06:41 UTC; qq488
Author: Sheng-Zhan Hua [aut, cre]
Maintainer: Sheng-Zhan Hua <szhua@g.ucla.edu>
Repository: CRAN
Date/Publication: 2026-05-27 08:50:19 UTC

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New package FastSurvival with initial version 0.1.0
Package: FastSurvival
Title: Fast Kaplan-Meier, Log-Rank, and Hazard Ratio Estimation for Survival Analysis
Version: 0.1.0
Description: Provides fast alternatives to standard survival analysis functions in the 'survival' package. The package implements a single-time-point Kaplan-Meier estimator (survfit_fast()), a log-rank test (survdiff_fast()), a closed-form hazard ratio estimator based on the Pike-Halley Estimator method (coxph_fast()), and a clinical trial data simulator (simdata_fast()). All functions are designed for repeated evaluation inside large simulation loops, such as adaptive sample-size re-estimation, probability-of-success calculations, and regional consistency evaluation in multi-regional trials. Core computations are implemented in 'C++' via 'Rcpp' for maximum performance. Methodological background is described in Collett (2014, ISBN:9780429196294).
License: MIT + file LICENSE
URL: https://github.com/gosukehommaEX/FastSurvival
BugReports: https://github.com/gosukehommaEX/FastSurvival/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: dqrng, Rcpp
LinkingTo: Rcpp, dqrng
Suggests: survival, microbenchmark, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-05-18 23:44:47 UTC; i_lik
Author: Gosuke Homma [aut, cre]
Maintainer: Gosuke Homma <my.name.is.gosuke@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 08:40:07 UTC

More information about FastSurvival at CRAN
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New package bvarnet with initial version 1.0.0
Package: bvarnet
Title: Bayesian Estimation of Dynamic VAR Models using STAN
Version: 1.0.0
Author: Florian Metwaly [aut, cre, cph]
Maintainer: Florian Metwaly <f.j.metwaly@uva.nl>
Description: Bayesian estimation of multilevel Vector Autoregression (VAR) models using Stan. Supports Gaussian, Binary, and Ordinal (adjacent category) outcome variables with random effects and customizable priors.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://flo1met.github.io/bvarnet/, https://github.com/flo1met/bvarnet
BugReports: https://github.com/flo1met/bvarnet/issues
Additional_repositories: https://mc-stan.org/r-packages/
Imports: instantiate, logspline, mvtnorm, posterior
Suggests: cmdstanr, bayesplot, knitr, qgraph, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: yes
Packaged: 2026-05-19 10:29:47 UTC; florianmetwaly
Repository: CRAN
Date/Publication: 2026-05-27 09:00:02 UTC

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Package aemo updated to version 0.4.1 with previous version 0.4.0 dated 2026-04-28

Title: Download Australian Energy Market Operator Data
Description: Fetch Australian Energy Market Operator (AEMO) public data from 'NEMweb' <http://nemweb.com.au> and the Market Management System Data Model (MMSDM) historical archive. Provides tidy access to 5-minute and 30-minute wholesale electricity prices, regional demand, dispatch-unit output, interconnector flows, rooftop photovoltaic generation, generator bids, predispatch forecasts, frequency control ancillary services markets, and gas market data across the National Electricity Market (NEM) regions. Data is published by AEMO under its Copyright Permissions Notice <https://www.aemo.com.au/privacy-and-legal-notices/copyright-permissions>.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between aemo versions 0.4.0 dated 2026-04-28 and 0.4.1 dated 2026-05-27

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New package aedl with initial version 0.1.0
Package: aedl
Title: Almost-Exact Inference for the DerSimonian-Laird Test Statistic
Version: 0.1.0
Description: Implements almost-exact inference for the DerSimonian-Laird test statistic in the normal-normal random-effects meta-analysis model, as described in Hanada and Sugimoto (2023) <doi:10.1007/s10463-022-00844-4>. The method approximates the distribution of the DerSimonian-Laird test statistic by combining the distribution of the untruncated DerSimonian-Laird estimator of the between-study variance with a conditional normal approximation. Methods based on a plug-in between-study variance and a corrected heterogeneity measure are provided.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, withr
Suggests: testthat (>= 3.0.0), metadat
NeedsCompilation: no
Packaged: 2026-05-19 00:07:18 UTC; keisu
Author: Keisuke Hanada [aut, cre]
Maintainer: Keisuke Hanada <keisuke.hanada.87@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 08:40:02 UTC

More information about aedl at CRAN
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Package SeroTrackR updated to version 1.1.1 with previous version 1.1.0 dated 2026-05-22

Title: Serology-Based Data Analysis and Visualization
Description: Data wrangling and cleaning, quality control checks and implementation of machine learning classification algorithm.
Author: Dionne Argyropoulos [aut, cre]
Maintainer: Dionne Argyropoulos <argyropoulos.d@wehi.edu.au>

Diff between SeroTrackR versions 1.1.0 dated 2026-05-22 and 1.1.1 dated 2026-05-27

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Package rwicc readmission to version 0.2.0 with previous version 0.1.3 dated 2022-03-09

Title: Regression with Interval-Censored Covariates
Description: Provides functions to simulate and analyze data for a regression model with an interval censored covariate, as described in Morrison et al. (2021) <doi:10.1111/biom.13472>.
Author: Douglas Ezra Morrison [aut, cre, cph] , Ron Brookmeyer [aut]
Maintainer: Douglas Ezra Morrison <demorrison@ucdavis.edu>

This is a re-admission after prior archival of version 0.1.3 dated 2022-03-09

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Package rsolr updated to version 0.0.14 with previous version 0.0.13 dated 2022-05-18

Title: R to Solr Interface
Description: A comprehensive R API for querying Apache Solr databases. A Solr core is represented as a data frame or list that supports Solr-side filtering, sorting, transformation and aggregation, all through the familiar base R API. Queries are processed lazily, i.e., a query is only sent to the database when the data are required.
Author: Michael Lawrence [aut, cre], Gabe Becker [aut], Jan Vogel [aut]
Maintainer: Michael Lawrence <lawremi@gmail.com>

Diff between rsolr versions 0.0.13 dated 2022-05-18 and 0.0.14 dated 2026-05-27

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More information about rsolr at CRAN
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Package rappsflyer updated to version 0.3.2 with previous version 0.2.0 dated 2021-03-22

Title: Work with AppsFlyer API
Description: Loading data from AppsFlyer Pull API <https://support.appsflyer.com/hc/en-us/articles/207034346-Pull-API-aggregate-data>.
Author: Alexey Seleznev [aut, cre]
Maintainer: Alexey Seleznev <selesnow@gmail.com>

Diff between rappsflyer versions 0.2.0 dated 2021-03-22 and 0.3.2 dated 2026-05-27

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Package opalr updated to version 3.6.1 with previous version 3.6.0 dated 2026-04-17

Title: 'Opal' Data Repository Client and 'DataSHIELD' Utils
Description: Data integration Web application for biobanks by 'OBiBa'. 'Opal' is the core database application for biobanks. Participant data, once collected from any data source, must be integrated and stored in a central data repository under a uniform model. 'Opal' is such a central repository. It can import, process, validate, query, analyze, report, and export data. 'Opal' is typically used in a research center to analyze the data acquired at assessment centres. Its ultimate purpose is to achieve seamless data-sharing among biobanks. This 'Opal' client allows to interact with 'Opal' web services and to perform operations on the R server side. 'DataSHIELD' administration tools are also provided.
Author: Yannick Marcon [aut, cre] , Amadou Gaye [ctb] , OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>

Diff between opalr versions 3.6.0 dated 2026-04-17 and 3.6.1 dated 2026-05-27

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Package GWnorm updated to version 1.0.1 with previous version 1.0 dated 2026-04-16

Title: G-Wishart Normalising Constants for Gaussian Graphical Models
Description: Computes G-Wishart normalising constants through a Fourier approach. Either exact analytical results, numerical integration or Monte Carlo estimation are employed. Details at C. Wong, G. Moffa and J. Kuipers (2024), <doi:10.48550/arXiv.2404.06803>. Also includes approximations of the ratio of normalising constants, see details at C. Wong, G. Moffa and J. Kuipers (2025), <doi:10.48550/arXiv.2503.13046>.
Author: Ching Wong [aut], Jack Kuipers [aut, cre]
Maintainer: Jack Kuipers <jack.kuipers@bsse.ethz.ch>

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Package educabR updated to version 1.0.0 with previous version 0.9.1 dated 2026-04-06

Title: Download and Process Brazilian Education Data from INEP
Description: Download and process public education data from INEP (Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira). Provides functions to access microdata from the School Census (Censo Escolar), ENEM (Exame Nacional do Ensino Médio), SAEB (Sistema de Avaliação da Educação Básica), Higher Education Census (Censo da Educação Superior), ENADE (Exame Nacional de Desempenho dos Estudantes), ENCCEJA (Exame Nacional para Certificação de Competências de Jovens e Adultos), IDD (Indicador de Diferença entre os Desempenhos Observado e Esperado), CPC (Conceito Preliminar de Curso), IGC (Índice Geral de Cursos), CAPES graduate education data, FUNDEB (Fundo de Manutencao e Desenvolvimento da Educacao Basica), IDEB (Índice de Desenvolvimento da Educação Básica), and other educational datasets. Returns data in tidy format ready for analysis. Data source: INEP Open Data Portal <https://www.gov.br/inep/pt-br/acesso-a-informacao/dados-abertos>.
Author: Sidney da Silva Pereira Bissoli [aut, cre]
Maintainer: Sidney da Silva Pereira Bissoli <sbissoli76@gmail.com>

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Package autoFC updated to version 1.0.0.1000 with previous version 0.2.0.1010 dated 2026-04-29

Title: Automatic Toolkit for Construction, Optimization, Scoring and Simulation of Forced-Choice Tests
Description: Forced-choice (FC) response has gained increasing popularity and interest for its resistance to faking when well-designed (Cao & Drasgow, 2019 <doi:10.1037/apl0000414>). To established well-designed FC scales, typically each item within a block should measure different trait and have similar level of social desirability (Zhang et al., 2020 <doi:10.1177/1094428119836486>). Recent study also suggests the importance of high inter-item agreement of social desirability between items within a block (Pavlov et al., 2021 <doi:10.31234/osf.io/hmnrc>). In addition to this, FC developers may also need to maximize factor loading differences (Brown & Maydeu-Olivares, 2011 <doi:10.1177/0013164410375112>) or minimize item location differences (Cao & Drasgow, 2019 <doi:10.1037/apl0000414>) depending on scoring models. Decision of which items should be assigned to the same block, also called as item pairing, is thus critical to the quality of an FC test. Becau [...truncated...]
Author: Mengtong Li [cre, aut] , Tianjun Sun [aut] , Bo Zhang [aut]
Maintainer: Mengtong Li <mt_li@fudan.edu.cn>

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Package admiraldev updated to version 1.4.1 with previous version 1.4.0 dated 2026-01-14

Title: Utility Functions and Development Tools for the Admiral Package Family
Description: Utility functions to check data, variables and conditions for functions used in 'admiral' and 'admiral' extension packages. Additional utility helper functions to assist developers with maintaining documentation, testing and general upkeep of 'admiral' and 'admiral' extension packages.
Author: Edoardo Mancini [aut, cre] , Stefan Bundfuss [aut] , Arianna Cascone [aut] , Jeffrey Dickinson [aut], Ross Farrugia [aut], Fanny Gautier [aut], Gordon Miller [aut], Daniel Sjoberg [aut] , Ben Straub [aut], Stefan Thoma [aut] , F. Hoffmann-La Roche AG [...truncated...]
Maintainer: Edoardo Mancini <edoardo.mancini@roche.com>

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Package a11yShiny updated to version 0.1.4 with previous version 0.1.3 dated 2026-03-30

Title: Accessibility Enhancements to Popular R Shiny Functions
Description: Accessible wrappers for popular 'shiny' UI components, enforcing ARIA attributes and structural requirements in line with BITV 2.0 (Barrierefreie-Informationstechnik-Verordnung) and WCAG 2.1 AA. Covers action buttons, text and select inputs, fluid page layouts with HTML landmarks and skip links, 'DT' data tables, and bar and line graphs from 'ggplot2'. Components validate label presence, expose keyboard-accessible ARIA states, and provide a high-contrast toggle. This package was developed by d-fine GmbH on behalf of the German Federal Ministry of Research, Technology and Space (BMFTR).
Author: Jan Liebnitzky [aut, cre]
Maintainer: Jan Liebnitzky <datenlabor@bmftr.bund.de>

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Package VisitorCounts updated to version 2.0.4 with previous version 2.0.3 dated 2025-01-15

Title: Modeling and Forecasting Visitor Counts Using Social Media
Description: Performs modeling and forecasting of park visitor counts using social media data and (partial) on-site visitor counts. Specifically, the model is built based on an automatic decomposition of the trend and seasonal components of the social media-based park visitor counts, from which short-term forecasts of the visitor counts and percent changes in the visitor counts can be made. A reference for the underlying model that 'VisitorCounts' uses can be found at Russell Goebel, Austin Schmaltz, Beth Ann Brackett, Spencer A. Wood, Kimihiro Noguchi (2023) <doi:10.1002/for.2965> .
Author: Robert Bowen [aut, cre], Russell Goebel [aut], Beth Ann Brackett [ctb], Kimihiro Noguchi [aut], Dylan Way [aut]
Maintainer: Robert Bowen <robertbowen.bham@gmail.com>

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Package venny updated to version 0.0.3 with previous version 0.0.2 dated 2026-05-21

Title: Venn Diagram
Description: Generate Venn plots, summary tables, and ellipse paths for polygon clipping. Provides direct access to subsets of interest and offers flexible customization of Venn diagrams. Summary tables are also available when Venn diagram visualization is not suitable.
Author: Joon-Keat Lai [aut, cre, cph]
Maintainer: Joon-Keat Lai <p10911004@gmail.com>

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Package TwoWayFEWeights updated to version 2.1.0 with previous version 2.0.4 dated 2024-07-26

Title: Estimation of the Weights Attached to the Two-Way Fixed Effects Regressions
Description: Computes the implicit weights attached to two-way fixed effects regressions, as well as summary measures of these regressions' robustness to heterogeneous treatment effects. Based on de Chaisemartin and D'Haultfoeuille (2020) <DOI:10.1257/aer.20181169>.
Author: Anzony Quispe [aut, cre], Diego Ciccia [aut], Felix Knau [aut], Melitine Malezieux [aut], Doulo Sow [aut], Shuo Zhang [aut], Clement de Chaisemartin [aut], Grant McDermott [ctb]
Maintainer: Anzony Quispe <anzony.quispe@gmail.com>

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Package tipmap updated to version 1.0.0 with previous version 0.5.2 dated 2023-08-14

Title: Tipping Point Analysis for Bayesian Dynamic Borrowing
Description: Tipping point analysis for clinical trials that employ Bayesian dynamic borrowing via robust meta-analytic predictive (MAP) priors. Further functions facilitate expert elicitation of a primary weight of the informative component of the robust MAP prior and computation of operating characteristics. Intended use is the planning, analysis and interpretation of extrapolation studies in pediatric drug development, but applicability is generally wider.
Author: Christian Stock [aut, cre] , Morten Dreher [aut], Lars Andersen [aut], Emma Torrini [ctb], Boehringer Ingelheim Pharma GmbH & Co. KG [cph, fnd]
Maintainer: Christian Stock <christian.stock@boehringer-ingelheim.com>

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Package symmoments updated to version 1.2.2 with previous version 1.2.1.1 dated 2025-12-12

Title: Symbolic Central and Noncentral Moments of the Multivariate Normal Distribution
Description: Symbolic central and non-central moments of the multivariate normal distribution. Computes a standard representation, LateX code, and values at specified mean and covariance matrices.
Author: Kem Phillips [aut], Florian Schuberth [aut, cre]
Maintainer: Florian Schuberth <f.schuberth@utwente.nl>

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Package PhenotypeR updated to version 0.5.0 with previous version 0.4.0 dated 2026-04-16

Title: Assess Study Cohorts Using a Common Data Model
Description: Phenotype study cohorts in data mapped to the Observational Medical Outcomes Partnership Common Data Model. Diagnostics are run at the database, code list, cohort, and population level to assess whether study cohorts are ready for research.
Author: Edward Burn [aut, cre] , Marti Catala [aut] , Xihang Chen [aut] , Marta Alcalde-Herraiz [aut] , Nuria Mercade-Besora [aut] , Albert Prats-Uribe [aut]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

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Package oppr updated to version 1.1.0 with previous version 1.0.5 dated 2025-06-27

Title: Optimal Project Prioritization
Description: A decision support tool for prioritizing conservation projects. Prioritizations can be developed by maximizing expected feature richness, expected phylogenetic diversity, the number of features that meet persistence targets, or identifying a set of projects that meet persistence targets for minimal cost. Constraints (e.g. lock in specific actions) and feature weights can also be specified to further customize prioritizations. After defining a project prioritization problem, solutions can be obtained using exact algorithms, heuristic algorithms, or random processes. In particular, it is recommended to install the 'Gurobi' optimizer (available from <https://www.gurobi.com>) because it can identify optimal solutions very quickly. The 'rcbc' R package (available at <https://github.com/dirkschumacher/rcbc>) can also be used to generate solutions using the CBC optimization software (<https://github.com/coin-or/Cbc>). Finally, methods are provided for comparing different pri [...truncated...]
Author: Jeffrey O Hanson [aut, cre] , Richard Schuster [aut] , Matthew Strimas-Mackey [aut] , Joseph R Bennett [aut]
Maintainer: Jeffrey O Hanson <jeffrey.hanson@uqconnect.edu.au>

Diff between oppr versions 1.0.5 dated 2025-06-27 and 1.1.0 dated 2026-05-27

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Package Cyclops updated to version 3.7.1 with previous version 3.7.0 dated 2026-02-28

Title: Cyclic Coordinate Descent for Logistic, Poisson and Survival Analysis
Description: This model fitting tool incorporates cyclic coordinate descent and majorization-minimization approaches to fit a variety of regression models found in large-scale observational healthcare data. Implementations focus on computational optimization and fine-scale parallelization to yield efficient inference in massive datasets. Please see: Suchard, Simpson, Zorych, Ryan and Madigan (2013) <doi:10.1145/2414416.2414791>.
Author: Marc A. Suchard [aut, cre], Martijn J. Schuemie [aut], Trevor R. Shaddox [aut], Yuxi Tian [aut], Jianxiao Yang [aut], Eric Kawaguchi [aut], Sushil Mittal [ctb], Observational Health Data Sciences and Informatics [cph], Marcus Geelnard [cph, ctb] , Ru [...truncated...]
Maintainer: Marc A. Suchard <msuchard@ucla.edu>

Diff between Cyclops versions 3.7.0 dated 2026-02-28 and 3.7.1 dated 2026-05-27

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Package Certara.RsNLME.ModelExecutor updated to version 3.1.0 with previous version 3.0.2 dated 2025-03-19

Title: Execute Pharmacometric Models Using 'shiny'
Description: Execute Nonlinear Mixed Effects (NLME) models for pharmacometrics using a 'shiny' interface. Specify engine parameters and select from different run options, including simple estimation, stepwise covariate search, bootstrapping, simulation, visual predictive check, and more. Models are executed using the 'Certara.RsNLME' package.
Author: James Craig [aut, cre], Mike Talley [aut], Vitalii Nazarov [aut], Certara USA, Inc [cph, fnd]
Maintainer: James Craig <james.craig@certara.com>

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Package BayesSUR updated to version 2.3-3 with previous version 2.3-2 dated 2026-05-15

Title: Bayesian Seemingly Unrelated Regression Models in High-Dimensional Settings
Description: Bayesian seemingly unrelated regression with general variable selection and dense/sparse covariance matrix. The sparse seemingly unrelated regression is described in Bottolo et al. (2021) <doi:10.1111/rssc.12490>, the software paper is in Zhao et al. (2021) <doi:10.18637/jss.v100.i11>, and the model with random effects is described in Zhao et al. (2024) <doi:10.1093/jrsssc/qlad102>.
Author: Marco Banterle [aut], Zhi Zhao [aut, cre], Leonardo Bottolo [ctb], Sylvia Richardson [ctb], Waldir Leoncio [ctb], Alex Lewin [aut], Manuela Zucknick [aut]
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>

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Package aebdata readmission to version 0.1.6 with previous version 0.1.5 dated 2026-05-16

Title: Access Data from the Atlas do Estado Brasileiro
Description: Facilitates access to the data from the Atlas do Estado Brasileiro (<https://www.ipea.gov.br/atlasestado/>), maintained by the Instituto de Pesquisa Econômica Aplicada (Ipea). It allows users to search for specific series, list series or themes, and download data when available.
Author: Hugo Macedo [aut, cre, cph]
Maintainer: Hugo Macedo <aebdata@hhmace.do>

This is a re-admission after prior archival of version 0.1.5 dated 2026-05-16

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Package MGBT updated to version 1.1.6 with previous version 1.0.7 dated 2021-07-21

Title: Multiple Grubbs-Beck Low-Outlier Test
Description: Compute the multiple Grubbs-Beck low-outlier test on positively distributed data and utilities for noninterpretive U.S. Geological Survey annual peak-streamflow data processing discussed in Cohn et al. (2013) and England et al. (2017) <doi:10.3133/tm4B5>. Other utilities for working with peak streamflow are provided.
Author: William H. Asquith [aut, cre] , John F. England [aut, ctb] , George R. Herrmann [ctb]
Maintainer: William H. Asquith <wasquith@usgs.gov>

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Package diffcp updated to version 0.1.1 with previous version 0.1.0 dated 2026-05-19

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

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Package arg updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-09

Title: Clean and Simple Argument Checking
Description: Checks function arguments, ideally for use in R packages. Uses a simple interface and produces clean, informative error messages using 'cli'.
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

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