CRANberries

Mon, 13 Apr 2026

New package isoniche with initial version 0.1.0
Package: isoniche
Title: Calculating Density-Independent Niche Breadth Indices from Abundance Data
Version: 0.1.0
Description: Deriving isodar-based niche breadth indices from abundance data of two or more habitats, including several methods based on pairwise isodars, multidimensional isodars, and isodar-adjusted inequality.
License: GPL-3
Encoding: UTF-8
Imports: tibble, dplyr, lmodel2
NeedsCompilation: no
Packaged: 2026-04-08 11:42:42 UTC; shadu
Author: Shahar Dubiner [aut, cre] , Itai Granot [aut], Jonathan Belmaker [aut]
Maintainer: Shahar Dubiner <dubiner@mail.tau.ac.il>
Repository: CRAN
Date/Publication: 2026-04-13 15:10:02 UTC

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New package toponym with initial version 2.0.1
Package: toponym
Title: Analyze and Visualize Toponyms
Version: 2.0.1
Description: A tool to analyze and visualize toponym distributions. This package is intended as an interface to the GeoNames data. A regular expression filters data and in a second step a map is created displaying all locations in the filtered data set. The functions make data and plots available for further analysis—either within R or in a chosen directory. Users can select regions within countries, provide coordinates to define regions, or specify a region within the package to restrict the data selection to that region or compare regions with the remainder of countries. This package relies on the R packages 'geodata' for map data and 'ggplot2' for plotting purposes. For more information on the study of toponyms, see Wichmann & Chevallier (2025) <doi:10.5195/names.2025.2616>.
Depends: R (>= 4.1)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: geodata, ggplot2, grDevices, sf, spatstat.geom, spatstat.utils, stats, terra, utils
URL: https://github.com/Lennart05/toponym
BugReports: https://github.com/Lennart05/toponym/issues
NeedsCompilation: no
Packaged: 2026-04-07 21:53:33 UTC; Chavallier
Author: Lennart Chevallier [aut, cre] , Soeren Wichmann [aut]
Maintainer: Lennart Chevallier <mail@lchevallier.de>
Repository: CRAN
Date/Publication: 2026-04-13 14:40:02 UTC

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New package tidyfun with initial version 0.1.1
Package: tidyfun
Title: Tidy Functional Data Wrangling and Visualization
Version: 0.1.1
Description: Represent, visualize, describe and wrangle functional data in tidy data frames, building on the 'tf' package. Provides data types for functional observations that work as columns in data frames, enabling manipulation with 'dplyr' verbs and visualization with 'ggplot2' geoms designed for functional data.
License: MIT + file LICENSE
URL: https://github.com/tidyfun/tidyfun, https://tidyfun.github.io/tidyfun/
BugReports: https://github.com/tidyfun/tidyfun/issues
Depends: R (>= 4.1), tf (>= 0.4.0)
Imports: cli, dplyr, GGally, ggplot2, grid, pillar, purrr, rlang, tibble, tidyr (>= 1.0.0), tidyselect (>= 1.0.0)
Suggests: covr, fda, fdasrvf, gridExtra, janitor, knitr, lme4, maps, mgcv, refund, rmarkdown, scales, testthat (>= 3.0.0), tidyverse, viridisLite
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-04-07 15:34:54 UTC; fabians
Author: Fabian Scheipl [aut, cre, cph] , Jeff Goldsmith [aut], Julia Wrobel [aut] , Maximilian Muecke [ctb]
Maintainer: Fabian Scheipl <fabian.scheipl@googlemail.com>
Repository: CRAN
Date/Publication: 2026-04-13 14:20:02 UTC

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New package serieshaz with initial version 0.1.1
Package: serieshaz
Title: Series System Distributions from Dynamic Failure Rate Components
Version: 0.1.1
Description: Compose multiple dynamic failure rate distributions into series system distributions where the system hazard equals the sum of component hazards. Supports hazard, survival, cumulative distribution function, density, sampling, and maximum likelihood estimation fitting via the dfr_dist() class from 'flexhaz'. Methods for series system reliability follow Barlow and Proschan (1975, ISBN:0898713692).
License: GPL (>= 3)
URL: https://github.com/queelius/serieshaz, https://queelius.github.io/serieshaz/
BugReports: https://github.com/queelius/serieshaz/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.5.0)
Imports: flexhaz, algebraic.dist, likelihood.model, generics, numDeriv
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-07 16:54:01 UTC; spinoza
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>
Repository: CRAN
Date/Publication: 2026-04-13 14:20:10 UTC

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New package qDEA with initial version 1.0.0
Package: qDEA
Title: Quantile Data Envelopment Analysis
Version: 1.0.0
Depends: R (>= 4.2)
Imports: dplyr, doBy, highs, Matrix, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Description: R implementation of Quantile Data Envelopment Analysis. The package 'qDEA' allows a user specified proportion of observations to lie external to a given Decision Making Units's (DMU's)reference hyperplane. 'qDEA' can be used to detect and address influential outliers or to implement quantile benchmarking, as discussed in Atwood and Shaik (2020). Quantile benchmarking is accomplished by using heuristic procedures to find a DMU's closest input-output projection point in a specified direction while allowing a specified proportion of observations to lie external to the projected point's hyperplane. The 'qDEA' package accommodates standard (DEA) and quantile DEA estimation, returns to scale CRS(constant),VRS(variable),DRS(decreasing) or IRS(increasing), the use of directional vectors, bias correction through subsample bootstrapping and subsample size selection procedures. The user can also recover each DMU's reference DMUs and external DMUs if desired. The implemented procedures are based o [...truncated...]
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-04-07 21:56:40 UTC; h22v519
Author: Joe Atwood [aut, cre], John Walden [aut]
Maintainer: Joe Atwood <jatwood@montana.edu>
Repository: CRAN
Date/Publication: 2026-04-13 14:40:07 UTC

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New package missPLS with initial version 0.2.0
Package: missPLS
Title: Methods and Reproducible Workflows for Partial Least Squares with Missing Data
Version: 0.2.0
Date: 2026-04-07
Depends: R (>= 4.1.0)
Imports: mice, plsRglm, stats, utils, VIM
Suggests: bcv, knitr, mlbench, plsdof, rmarkdown, testthat (>= 3.0.0)
Author: Titin Agustin Nengsih [aut], Frederic Bertrand [aut, cre], Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Methods-first tooling for reproducing and extending the partial least squares regression studies on incomplete data described in Nengsih et al. (2019) <doi:10.1515/sagmb-2018-0059>. The package provides simulation helpers, missingness generators, imputation wrappers, component-selection utilities, real-data diagnostics, and reproducible study orchestration for Nonlinear Iterative Partial Least Squares (NIPALS)-Partial Least Squares (PLS) workflows.
License: GPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
URL: https://fbertran.github.io/missPLS/, https://github.com/fbertran/missPLS
BugReports: https://github.com/fbertran/missPLS/issues
NeedsCompilation: no
Packaged: 2026-04-08 09:17:07 UTC; bertran7
Repository: CRAN
Date/Publication: 2026-04-13 15:00:02 UTC

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New package ILORA with initial version 0.1.0
Package: ILORA
Title: 'ILORA': Indian Alien Flora Information Database Retrieval
Version: 0.1.0
Description: Provides tools to access, query, and visualize species occurrence data from the 'ILORA' package. The package enables users to retrieve species names, explore available variables, and extract species-level data based on user-defined criteria. It also supports exploratory data analysis and visualization to facilitate ecological and bio-geographical research. Further details about the database are available at <https://ilora2020.wixsite.com/ilora2020>.
License: MIT + file LICENSE
Depends: R (>= 4.0.0)
Imports: DBI, RColorBrewer, units, RPostgres, dplyr, ggplot2, plotly, glue, rnaturalearth, rnaturalearthdata, sf, viridis, tidyr
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-07 13:03:38 UTC; fossee
Author: Ruqaiya Shaikh [aut, cre], Achyut Kumar Banerjee [aut], Abhishek Mukherjee [aut], Amiya Ranjan Bhowmick [aut]
Maintainer: Ruqaiya Shaikh <ruqaiyashaikh41@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-13 14:10:02 UTC

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New package diagFDR with initial version 0.1.0
Package: diagFDR
Title: Verifiable FDR Diagnostics for Proteomics
Version: 0.1.0
Description: Provides methods to compute verifiable false discovery rate (FDR) diagnostic checks for workflows based on target-decoy competition and related confidence measures. Implements calibration, stability and tail diagnostics, including tail support, threshold elasticity, posterior error probability (PEP) reliability, and equal-chance checks.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: dplyr, tibble, ggplot2, purrr, rlang, readr, xml2, cp4p, tidyr, scales, data.table
Suggests: arrow, knitr, officer, rvg, testthat (>= 3.0.0), withr, rmarkdown, jsonlite
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-07 13:19:05 UTC; qgiaigia
Author: Quentin Giai Gianetto [aut, cre]
Maintainer: Quentin Giai Gianetto <quentin.giaigianetto@pasteur.fr>
Repository: CRAN
Date/Publication: 2026-04-13 14:20:16 UTC

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New package comtrade with initial version 0.1.0
Package: comtrade
Title: Access and Analyse UN Comtrade International Trade Data
Version: 0.1.0
Description: Download and analyse international merchandise and services trade data from the United Nations Comtrade database <https://comtradeplus.un.org/>. Retrieve bilateral trade flows, compute trade analytics (revealed comparative advantage, trade concentration, trade balance), and convert between commodity classifications (HS, SITC, BEC). Covers 200+ reporter countries, 60+ years of goods trade data (1962-present), and services trade via EBOPS. Works without registration for basic queries. A free API key from <https://comtradedeveloper.un.org/> unlocks full access.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
URL: https://github.com/charlescoverdale/comtrade
BugReports: https://github.com/charlescoverdale/comtrade/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), httr2 (>= 1.0.0), stats, tools, utils
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-04-07 20:47:28 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-13 14:30:02 UTC

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New package baseverse with initial version 0.1.0
Package: baseverse
Title: Modern Base-R Functions
Version: 0.1.0
Description: Includes modern base-R functions. Functions beginning with p_ are wrapper functions to existing base-R functions, supporting native piping. base_match() and base_when() mimic case_match() and case_when() from 'dplyr' but return a factor by default with levels ordered according to user input. et() mimics count() from 'dplyr'.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-04-07 20:14:45 UTC; yea-hung
Author: Yea-Hung Chen [aut, cre]
Maintainer: Yea-Hung Chen <yea-hung.chen@ucsf.edu>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-04-13 14:30:08 UTC

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New package SelectBoost.quantile with initial version 0.3.1
Package: SelectBoost.quantile
Title: 'SelectBoost'-Style Variable Selection for Quantile Regression
Date: 2026-04-07
Version: 0.3.1
Author: Frederic Bertrand [cre, aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: A 'SelectBoost'-inspired workflow for sparse quantile regression. The package builds correlation neighborhoods, perturbs correlated predictors with a directional sampler inspired by the original 'SelectBoost' internals, refits penalized quantile regression models on the perturbed designs, and aggregates variable-selection frequencies across a path of correlation thresholds.
License: GPL-3
Encoding: UTF-8
Imports: graphics, movMF, quantreg, stats, utils, withr
Suggests: knitr, pkgload, rmarkdown, testthat (>= 3.0.0)
URL: https://fbertran.github.io/SelectBoost.quantile/, https://github.com/fbertran/SelectBoost.quantile
BugReports: https://github.com/fbertran/SelectBoost.quantile/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-07 10:36:30 UTC; bertran7
Repository: CRAN
Date/Publication: 2026-04-13 11:40:08 UTC

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New package prefviz with initial version 0.1.1
Package: prefviz
Title: Visualizes Preference Data via Ternary Plots in Two and Higher Dimensions
Version: 0.1.1
Description: Visualises preference and ranking data by extending traditional ternary plots to support high-dimensional simplexes. The package provides methods to transform compositional data into coordinates suitable for 2D and high-dimensional ternary plots (see Cook & Laa (2024) <https://dicook.github.io/mulgar_book/>). Compatibility with interactive visualization packages such as 'plotly' or 'detourr' allows users to explore high-dimensional preference structures dynamically.
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, prefio, tibble, tidyr, rlang, ggplot2, tidyselect, geozoo
Suggests: knitr, rmarkdown, tourr, kableExtra, ggthemes, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
LazyData: true
VignetteBuilder: knitr
URL: https://numbats.github.io/prefviz/
BugReports: https://github.com/numbats/prefviz/issues
NeedsCompilation: no
Packaged: 2026-04-07 12:57:15 UTC; ADMIN
Author: Linh Ngo [aut, cre], Dianne Cook [aut] , Damjan Vukcevic [aut]
Maintainer: Linh Ngo <linhngo66.work@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-13 11:50:02 UTC

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New package luckieR with initial version 0.1.0
Package: luckieR
Title: Calculations of Luck in Structured Population Models
Version: 0.1.0
Maintainer: Christina Hernandez <christinahernan@gmail.com>
Description: User-friendly and generalized tools for the calculation of luck -- moments of variation in metrics like lifespan and lifetime reproductive output. We provide tools for calculating those moments and also performing decompositions into contributions from, for example, individual traits, environmental impacts, and luck (also called individual stochasticity). The functions included here are based on Snyder and Ellner (2024) <doi:10.1086/730557>, Cochran and Ellner (1992) <https://www.jstor.org/stable/2937115>, and Hernandez et al. (2024) <doi:10.1111/ele.14390>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: Matrix
URL: https://github.com/chrissy3815/luckieR
BugReports: https://github.com/chrissy3815/luckieR/issues
NeedsCompilation: no
Packaged: 2026-04-07 01:30:19 UTC; chrissy
Author: Robin Snyder [aut, cph], Christina Hernandez [aut, cre], Steve Ellner [aut]
Repository: CRAN
Date/Publication: 2026-04-13 11:20:02 UTC

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New package bsocialv2 with initial version 0.1.1
Package: bsocialv2
Title: Analysis of Microbial Social Behavior in Bacterial Consortia
Version: 0.1.1
Description: Provides an S4 class and methods for analyzing microbial social behavior in bacterial consortia. Includes growth parameter extraction, social behavior classification (cooperators/cheaters/neutrals), diversity effect analysis, consortium assembly path finding, and stability analysis via coefficient of variation. Methods are described in Purswani et al. (2017) <doi:10.3389/fmicb.2017.00919>.
License: MIT + file LICENSE
URL: https://github.com/Juane99/bsocialv2
BugReports: https://github.com/Juane99/bsocialv2/issues
Encoding: UTF-8
Depends: R (>= 4.0), methods
Imports: dplyr, ggplot2, grDevices, growthcurver, igraph, magrittr, reshape2, rlang, stats, tidyr, viridis
Suggests: readr, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-07 12:33:00 UTC; juane
Author: Maria Garcia Toledo [aut], Juan Emilio Martinez Manjon [aut, cre], Jessica Purswani [aut], Rocio Romero Zaliz [aut]
Maintainer: Juan Emilio Martinez Manjon <juanemartinez999@hotmail.com>
Repository: CRAN
Date/Publication: 2026-04-13 11:40:02 UTC

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Fri, 10 Apr 2026

New package MRgrowth with initial version 0.1.2
Package: MRgrowth
Title: Mark-Recapture Growth Models
Version: 0.1.2
Date: 2026-04-06
Maintainer: Donald T. McKnight <donald.mcknight@my.jcu.edu.au>
Description: Researchers often need to calculate body-size growth rates for individuals that do not have associated age data. These growth rates are based on mark-recapture data where an individual was captured and measured at time 1 then recaptured and measured at time 2. The sizes at each time and amount of time between captures can be used to calculate growth rates. 'MRgrowth' follows the approach in Edmonds et al. (2021) <doi:10.1371/journal.pone.0259978> and provides functions to calculate growth using three formulas, the Faben's reformulation of the von Bertalanffy formula, the Gompertz formula, and a logistic formula.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: knitr,rmarkdown
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-06 23:11:29 UTC; Donald McKnight
Author: Donald T. McKnight [aut, cre]
Repository: CRAN
Date/Publication: 2026-04-10 14:20:07 UTC

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New package countmaskr with initial version 0.1.1
Package: countmaskr
Title: Small Cell Masking Tool for One- & Two-Way Tabular Reports
Version: 0.1.1
Description: Provides automated small-cell suppression for one- and two-way frequency tables. Cells falling below a user-defined frequency threshold are masked, with suppression propagated to secondary cells to prevent indirect disclosure. Designed for clinical and health administrative data, the package supports a range of tabular structures and fits into reproducible reporting pipelines, reducing manual review while applying consistent suppression rules across data sharing workflows.
License: MPL-2.0
Depends: R (>= 2.10), dplyr, tibble, tidyr
Imports: lifecycle
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
URL: https://query-fulfillment.github.io/countmaskr/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-06 17:48:04 UTC; masters2
Author: Sahal Master [cre, aut] , Amy Goodwin Davies [aut] , Allison Zelinski [aut], Qiwei Shen [aut] , Charles Bailey [aut] , Nicole Marchesani [ctb] , Aqsa Khan [ctb] , Rhonda DeCook [ctb]
Maintainer: Sahal Master <sahalmaster@outlook.com>
Repository: CRAN
Date/Publication: 2026-04-10 14:10:02 UTC

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New package akin with initial version 0.1.4
Package: akin
Title: Functional Utilities for Data Processing
Version: 0.1.4
Description: Covers several areas of data processing: batch-splitting, reading and writing of large data files, data tiling, one-hot encoding and decoding of data tiles, stratified proportional (random or probabilistic) data sampling, data normalization and thresholding, substring location and commonality inside strings and location and tabulation of amino acids, modifications or associated monoisotopic masses inside modified peptides. The extractor utility implements code from 'Matrix.utils', Varrichio C (2020), <https://cran.r-project.org/package=Matrix.utils>.
License: GPL (>= 3)
Imports: data.table (>= 1.18.2.0), RVerbalExpressions (>= 0.1.0), RcppAlgos(>= 2.9.3), methods
Depends: R (>= 4.1.0), callr, erer, fastmatch, listenv, Matrix, utils
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-04-06 18:30:31 UTC; Dragos
Author: Dragos Bandur [aut, cre]
Maintainer: Dragos Bandur <dbandur@sympatico.ca>
Repository: CRAN
Date/Publication: 2026-04-10 14:20:02 UTC

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New package StatDeriveR with initial version 0.1.0
Package: StatDeriveR
Title: Step-by-Step Derivation and Simulation Verification in Mathematical Statistics
Version: 0.1.0
Description: Provides step-by-step derivations of key results in mathematical statistics, including transformations of random variables, order statistics, and sampling distributions. The package combines analytical derivation with Monte Carlo simulation to compare theoretical and empirical results, facilitating deeper understanding of statistical theory and its computational implementation. The methods are motivated by standard treatments in mathematical statistics (Hogg, McKean, and Craig, 2019, ISBN: 9780134686991).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.0.0)
Imports: grDevices, graphics, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/Jokhrof042/StatDeriveR
BugReports: https://github.com/Jokhrof042/StatDeriveR/issues
NeedsCompilation: no
Packaged: 2026-04-06 16:12:14 UTC; lenovo
Author: Jokhrof Ahmed Doha [aut, cre]
Maintainer: Jokhrof Ahmed Doha <s-2021711817@isrt.du.ac.bd>
Repository: CRAN
Date/Publication: 2026-04-10 14:00:02 UTC

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New package SelectBoost.FDA with initial version 0.5.0
Package: SelectBoost.FDA
Title: SelectBoost-Style Variable Selection for Functional Data Analysis
Date: 2026-04-02
Version: 0.5.0
Author: Frederic Bertrand [cre, aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Implements 'SelectBoost'-style variable selection workflows for functional data analysis. The package provides FDA-native design and preprocessing objects for raw curves, spline-basis expansions, Functional principal component analysis scores, and scalar covariates; grouped stability-selection routines based on repeated subject-level subsampling; multiple selector backends including lasso, group lasso, and sparse-group lasso; FDA-aware grouping functions and calibration helpers for 'SelectBoost'; method-comparison utilities; a formula interface; simulation, benchmarking, and validation helpers with mapped ground truth; targeted sensitivity-study utilities and shipped benchmark summaries for mean 'F1' comparisons between FDA-aware and plain 'SelectBoost' workflows; small example datasets; and an optional adapter to the native stability-selection interface from the 'FDboost' package.
LazyData: true
License: GPL-3
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: SelectBoost, stats
Suggests: FDboost, glmnet, grpreg, knitr, pkgdown, rmarkdown, SGL, stabs, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://fbertran.github.io/SelectBoost.FDA/, https://github.com/fbertran/SelectBoost.FDA
BugReports: https://github.com/fbertran/SelectBoost.FDA/issues
NeedsCompilation: no
Packaged: 2026-04-02 23:01:50 UTC; bertran7
Repository: CRAN
Date/Publication: 2026-04-10 13:30:09 UTC

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New package ncmR with initial version 0.1.0
Package: ncmR
Title: Fit Neutral Community Model to Microbiome or Ecological Data
Version: 0.1.0
Description: Provides tools for fitting the neutral community model (NCM) to assess the role of stochastic processes in community assembly. The package implements the framework of Sloan et al. (2006) <doi:10.1111/j.1462-2920.2005.00956.x>, enabling users to evaluate neutral dynamics in ecological and microbial communities.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: dplyr, Hmisc, minpack.lm
URL: https://github.com/h-xuanjiu/ncmR
NeedsCompilation: no
Packaged: 2026-04-06 00:38:00 UTC; 15225
Author: Yuxuan He [aut, cre, cph]
Maintainer: Yuxuan He <heyuxuan0525@outlook.com>
Repository: CRAN
Date/Publication: 2026-04-10 13:50:02 UTC

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New package HHBayes with initial version 0.1.1
Package: HHBayes
Title: Bayesian Household Transmission Modeling with 'Stan'
Version: 0.1.1
Description: Provides a streamlined pipeline to simulate household infection dynamics, estimate transmission parameters, and visualize epidemic timelines. Uses a Bayesian approach with 'Stan' that models transmission probability as a function of viral load, seasonality and infectivity, multiple infection episodes (reinfections), and waning immunity modeling. Li et al. (2026) <doi:10.64898/2026.04.01.26349903>).
License: MIT + file LICENSE
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.4.0)
Imports: methods, Rcpp (>= 0.12.0), rstan (>= 2.18.1), rstantools (>= 2.4.0), dplyr, ggplot2, tidyr, ggpubr, scales, deSolve, rlang
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
Suggests: knitr, rmarkdown, RcppParallel (>= 5.0.1), cowplot
VignetteBuilder: knitr
URL: https://github.com/keli5734/HHBayes
BugReports: https://github.com/keli5734/HHBayes/issues
NeedsCompilation: yes
Packaged: 2026-04-06 13:53:57 UTC; yh785
Author: Ke Li [aut, cre] , Yiren Hou [aut]
Maintainer: Ke Li <ke.li.kl662@yale.edu>
Repository: CRAN
Date/Publication: 2026-04-10 14:00:07 UTC

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New package uuidx with initial version 0.0.1
Package: uuidx
Title: Modern UUIDs for R with a Rust Backend
Version: 0.0.1
Description: Generate, parse, and validate RFC 9562 UUIDs from R using the Rust 'uuid' crate via 'extendr'. Developed by Thomas Bryce Kelly at Icy Seas Co-Laboratory LLC. Version 7 UUIDs are the default for new identifiers, while versions 4, 5, 6, and legacy version 1 are also supported. Functions return character vectors by default and can also expose 16-byte raw representations for low-level workflows.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.81
NeedsCompilation: yes
Depends: R (>= 4.3)
Suggests: testthat (>= 3.0.0)
Packaged: 2026-04-05 21:28:10 UTC; tbkelly
Author: Thomas Bryce Kelly [aut, cre], Icy Seas Co-Laboratory LLC [cph]
Maintainer: Thomas Bryce Kelly <tkelly@icyseascolab.io>
Repository: CRAN
Date/Publication: 2026-04-10 11:30:02 UTC

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New package tidyactuarial with initial version 0.1.1
Package: tidyactuarial
Title: Tidy Tools for Actuarial Mathematics and Life Contingencies
Version: 0.1.1
Description: Provides tidyverse-aligned tools for actuarial mathematics and life contingencies, including life tables, survival probabilities, actuarial present values of cash flows, life annuities, multi-life benefits, and related quantities. The package emphasizes clear actuarial notation consistent with standard curricula (e.g. SOA exams) and supports reproducible workflows using modern R.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2, dplyr, tibble, utils, stats, rlang, scales
Suggests: purrr
NeedsCompilation: no
Packaged: 2026-04-05 01:12:32 UTC; LENOVO
Author: Julian Fajardo [aut, cre]
Maintainer: Julian Fajardo <julian.fajardo1908@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-10 10:10:08 UTC

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New package WCRBayesDesign with initial version 1.0.1
Package: WCRBayesDesign
Title: Bayesian Two-Stage Design with Window-Cohort and Controlled Roll-on for Time-to-Event Estimand
Version: 1.0.1
Description: Calibrates Bayesian two-stage designs for single-arm phase II trials with time-to-event endpoints using a window-cohort with controlled roll-on. Interim monitoring is anchored to a locked interim cohort and a pre-specified follow-up requirement, so analysis timing remains predictable while preserving follow-up maturity. The package searches feasible interim rules, optimizes final sample size and decision thresholds, evaluates operating characteristics by Monte Carlo simulation, and supports exponential, Weibull, log-normal, log-logistic, and user-defined baseline survival models. Related published foundations include Simon (1989) <doi:10.1016/0197-2456(89)90015-9> and Cotterill and Whitehead (2015) <doi:10.1002/sim.6426>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.4.0)
Imports: foreach, doParallel, stats, parallel
Suggests: devtools, roxygen2, knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-04-04 20:28:18 UTC; zcai13
Author: Zhongheng Cai [aut, cre], Haitao Pan [aut]
Maintainer: Zhongheng Cai <zhonghengcai123@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-10 10:00:08 UTC

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New package SBOAtools with initial version 0.1.0
Package: SBOAtools
Title: Secretary Bird Optimization for Continuous Optimization and Neural Networks
Version: 0.1.0
Description: Provides an implementation of secretary bird optimization for general-purpose continuous optimization and for training single-hidden-layer feed-forward neural network models.
License: MIT + file LICENSE
URL: https://github.com/burakdilber/SBOAtools
BugReports: https://github.com/burakdilber/SBOAtools/issues
Encoding: UTF-8
Imports: stats, graphics
NeedsCompilation: no
Packaged: 2026-04-04 14:40:09 UTC; hp
Author: Burak Dilber [aut, cre, cph], A. Firat Oezdemir [aut, cph]
Maintainer: Burak Dilber <burakdilber91@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-10 09:30:08 UTC

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New package rurality with initial version 0.1.0
Package: rurality
Title: Classification and Scoring of U.S. County and ZIP Code Rurality
Version: 0.1.0
Description: Provides USDA Rural-Urban Continuum Codes (RUCC 2023), Rural-Urban Commuting Area codes (RUCA 2020), and a composite rurality score for all U.S. counties. Functions enable lookup by FIPS code, ZIP code, or county name, and easy merging with existing datasets. Data sources include the USDA Economic Research Service, U.S. Census Bureau American Community Survey, and Census TIGER/Line shapefiles.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, rlang, stringr
Suggests: ggplot2, knitr, rmarkdown, sf, tigris, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
URL: https://github.com/cwimpy/rurality, https://rurality.app
BugReports: https://github.com/cwimpy/rurality/issues
NeedsCompilation: no
Packaged: 2026-04-04 13:49:52 UTC; cwimpy
Author: Cameron Wimpy [aut, cre]
Maintainer: Cameron Wimpy <cwimpy@astate.edu>
Repository: CRAN
Date/Publication: 2026-04-10 09:30:02 UTC

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New package observationalBlocks with initial version 1.0.0
Package: observationalBlocks
Title: Block Designs for Observational Studies
Version: 1.0.0
Description: Creates block designs of fixed size J with at least one treated and control unit per block. Blocks larger than pairs better distinguish effects caused by a treatment from unmeasured confounding in assignment of individuals to treatment. Somewhat counterintuitively, blocks larger than pairs can use more units while attaining better covariate balance and block homogeneity. A forthcoming manuscript by Brumberg and Rosenbaum details the design.
License: GPL-2
Encoding: UTF-8
Imports: iTOS, lpSolve, stats
Suggests: DOS2, sensitivity2x2xk, sensitivitymv, weightedRank, xtable, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
NeedsCompilation: no
LazyData: true
Packaged: 2026-04-04 19:15:23 UTC; katherine
Author: Katherine Brumberg [aut, cre] , Paul Rosenbaum [aut]
Maintainer: Katherine Brumberg <kbrum@umich.edu>
Repository: CRAN
Date/Publication: 2026-04-10 09:50:02 UTC

More information about observationalBlocks at CRAN
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New package coda.pack with initial version 0.1.2
Package: coda.pack
Title: Meta-Package for Compositional Data Analysis
Version: 0.1.2
Description: Meta-package for compositional data analysis. It attaches the main stable packages of the 'coda' ecosystem, currently 'coda.base' and 'coda.plot', and provides helper tools to install development extensions from 'GitHub'.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0), coda.base, coda.plot
Suggests: remotes
NeedsCompilation: no
Packaged: 2026-03-12 13:27:43 UTC; marc
Author: Marc Comas-Cufi [aut, cre]
Maintainer: Marc Comas-Cufi <mcomas@imae.udg.edu>
Repository: CRAN
Date/Publication: 2026-04-10 09:40:09 UTC

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Thu, 09 Apr 2026

New package sftpR with initial version 0.2.0
Package: sftpR
Title: Robust SFTP Interface Using 'curl'
Version: 0.2.0
Description: Provides a high-level, object-oriented interface for Secure File Transfer Protocol (SFTP) operations built upon the 'curl' package. The package implements an 'R6' class to manage persistent connections and provides 'tidyverse'-style functions for common file system tasks. Key features include recursive directory creation with idempotency support, "smart" local path resolution that distinguishes between files and directories, and the ability to download remote resources directly into memory as raw vectors for seamless integration into data processing pipelines. It is designed to handle common SFTP edge cases gracefully, providing informative error messages and robust path sanitization to ensure compatibility across different server configurations.
License: MIT + file LICENSE
URL: https://mikuo0628.github.io/sftpR/, https://github.com/mikuo0628/sftpR
BugReports: https://github.com/mikuo0628/sftpR/issues
Encoding: UTF-8
SystemRequirements: libcurl: libcurl (with libssh2 support)
Depends: R (>= 4.1.0)
Imports: curl (>= 7.0.0), R6 (>= 2.6.1)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-03 17:10:35 UTC; rstudio
Author: Michael Kuo [aut, cre]
Maintainer: Michael Kuo <michael.kuo@bccdc.ca>
Repository: CRAN
Date/Publication: 2026-04-09 15:40:02 UTC

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New package gtDesign with initial version 0.1.0
Package: gtDesign
Title: Convex Optimal Designs for Group Testing Experiments
Version: 0.1.0
Description: Finite candidate-set approximate optimal designs for group testing and related experiments, using convex optimization and equivalence checks. Implements the information matrix and cost structure for the prevalence / sensitivity / specificity model used in Huang and colleagues (2020), as in Chi-Kuang Yeh, Weng Kee Wong, and Julie Zhou (<doi:10.48550/arXiv.2508.08445>).
URL: https://github.com/chikuang/gtDesign, https://arxiv.org/abs/2508.08445
License: GPL-3
BugReports: https://github.com/chikuang/gtDesign/issues
Encoding: UTF-8
Imports: CVXR (>= 1.8.1), tibble, MASS
Suggests: testthat (>= 3.0.0), dplyr, knitr
NeedsCompilation: no
Packaged: 2026-04-03 17:13:36 UTC; chikuang
Author: Chi-Kuang Yeh [aut, cre] , Julie Zhou [aut], Weng Kee Wong [ctb]
Maintainer: Chi-Kuang Yeh <cyeh@gsu.edu>
Repository: CRAN
Date/Publication: 2026-04-09 15:40:08 UTC

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New package ClassifyITS with initial version 0.1.0
Package: ClassifyITS
Title: Fungal Assignment Pipeline
Version: 0.1.0
Description: Fungi are ubiquitous in Earth's wonderfully diverse ecosystems. The 'ClassifyITS' package aids in the taxonomic classification of environmental internal transcribed spacer (ITS) short-read barcoding data. Unlike previous methods, it employs taxon-specific e-value and percent identity cutoffs at each taxonomic rank from kingdom to species. The package takes a conservative approach and outputs both graphics and user-friendly files to help users manually inspect fungal operational taxonomic units (OTUs) that fail classification at relevant levels (e.g., Phylum). 'ClassifyITS' is based on taxonomic cutoff criteria from "The Global Soil Mycobiome consortium dataset for boosting fungal diversity research" (Fungal Diversity, Tedersoo, 2021, <doi:10.1007/s13225-021-00493-7>) and "Best practices in metabarcoding of fungi: From experimental design to results" (Molecular Ecology, Tedersoo, 2022, <doi:10.1111/mec.16460>).
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, dplyr, gridExtra, grid, reshape2, data.table, seqinr
Suggests: formatR, knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown, formatR
NeedsCompilation: no
Packaged: 2026-04-03 11:04:46 UTC; quinnmoon
Author: Quinn Moon [aut, cre]
Maintainer: Quinn Moon <qmoon@umich.edu>
Repository: CRAN
Date/Publication: 2026-04-09 15:20:09 UTC

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New package arg with initial version 0.1.0
Package: arg
Title: Clean and Simple Argument Checking
Version: 0.1.0
Description: Checks function arguments, ideally for use in R packages. Uses a simple interface and produces clean, informative error messages using 'cli'.
Depends: R (>= 4.1.0)
Imports: rlang (>= 1.1.0), cli (>= 3.6.4), stats, utils
License: GPL (>= 2)
Encoding: UTF-8
URL: https://ngreifer.github.io/arg/, https://github.com/ngreifer/arg
BugReports: https://github.com/ngreifer/arg/issues
NeedsCompilation: no
Packaged: 2026-04-03 14:07:57 UTC; NoahGreifer
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-09 15:20:02 UTC

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New package survdistr with initial version 0.0.3
Package: survdistr
Title: Survival Distribution Container with Flexible Interpolation Methods
Version: 0.0.3
Description: Efficient containers for storing and managing prediction outputs from survival models, including Cox proportional hazards, random survival forests, and modern machine learning estimators. Provides fast C++ methods to evaluate survival probabilities, hazards, probability densities, and related quantities at arbitrary time points, with support for multiple interpolation methods via 'Rcpp'.
License: MIT + file LICENSE
URL: https://survdistr.mlr-org.com
Imports: checkmate, R6, Rcpp
Suggests: testthat (>= 3.0.0)
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-04-03 09:40:38 UTC; john
Author: John Zobolas [aut, cre], Andreas Bender [ctb]
Maintainer: John Zobolas <bblodfon@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-09 09:30:15 UTC

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New package circuitscaper with initial version 0.1.0
Package: circuitscaper
Title: 'Circuitscape' and 'Omniscape' Connectivity Analysis via 'Julia'
Version: 0.1.0
Author: Matthew Kling [aut, cre, cph]
Maintainer: Matthew Kling <mattkling@berkeley.edu>
Description: Provides an R-native interface to the 'Circuitscape.jl' and 'Omniscape.jl' 'Julia' packages for landscape connectivity modeling using circuit theory. Users work entirely in R with familiar objects (SpatRaster, file paths) while 'Julia' handles computation invisibly. Supports all four 'Circuitscape' modes (pairwise, one-to-all, all-to-one, advanced) and 'Omniscape' moving-window analysis. Methods are described in McRae (2006) <doi:10.1111/j.0014-3820.2006.tb00500.x> and Landau et al. (2021) <doi:10.21105/joss.02829>.
License: MIT + file LICENSE
URL: https://github.com/matthewkling/circuitscaper, https://matthewkling.github.io/circuitscaper/
BugReports: https://github.com/matthewkling/circuitscaper/issues
Depends: R (>= 4.0)
Imports: terra, JuliaCall, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: Julia (>= 1.9), Circuitscape.jl, Omniscape.jl
NeedsCompilation: no
Packaged: 2026-04-04 13:27:15 UTC; matthewkling
Repository: CRAN
Date/Publication: 2026-04-09 09:20:02 UTC

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New package tptest with initial version 1.0.3
Package: tptest
Title: Universal Turning Point and Inflection Point Tests
Version: 1.0.3
Date: 2026-03-07
Description: Performs turning point and inflection point tests for U-shaped and inverse U-shaped relationships in regression models. Implements the Sasabuchi (1980) test as extended by Lind and Mehlum (2010) with support for quadratic, cubic, log-quadratic, and inverse functional forms. Features include delta-method standard errors, Fieller confidence intervals, Simonsohn (2018) two-lines test, and parametric bootstrap. Designed for post-estimation analysis of linear models, panel models, and quantile regression. References: Lind and Mehlum (2010) <doi:10.1111/j.1468-0084.2009.00569.x>; Sasabuchi (1980); Fieller (1954) <doi:10.1111/j.2517-6161.1954.tb00159.x>.
License: GPL-3
URL: https://github.com/muhammedalkhalaf/tptest
BugReports: https://github.com/muhammedalkhalaf/tptest/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, lmtest, sandwich, plm, quantreg
NeedsCompilation: no
Packaged: 2026-04-02 15:26:14 UTC; SYSTEM
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-09 08:20:02 UTC

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New package shinydataviewer with initial version 0.1.0
Package: shinydataviewer
Title: Reusable Data Viewer Module for 'shiny'
Version: 0.1.0
Description: Provides a reusable 'shiny' module for viewing tabular data with a searchable 'reactable' table and a variable summary sidebar built with 'bslib'.
License: MIT + file LICENSE
BugReports: https://github.com/Ryan-W-Harrison/shinydataviewer/issues
Imports: bslib, htmltools, reactable, shiny
Suggests: knitr, pkgdown, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://ryan-w-harrison.github.io/shinydataviewer/, https://github.com/Ryan-W-Harrison/shinydataviewer
NeedsCompilation: no
Packaged: 2026-04-04 03:30:30 UTC; rh
Author: Ryan Harrison [aut, cre, cph]
Maintainer: Ryan Harrison <harrison.ryan.w@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-09 09:00:03 UTC

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New package seirMFG with initial version 0.1.0
Package: seirMFG
Title: Mean-Field Game Equilibrium for SEIR Epidemics on Networks
Version: 0.1.0
Date: 2026-04-02
Description: Implements the forward-backward sweep algorithm for computing Nash equilibrium contact policies in SEIR epidemic mean-field games on heterogeneous contact networks, as described in Wang (2026) <doi:10.5281/zenodo.19381052>. Supports both heterogeneous networks with arbitrary degree distributions (e.g., truncated Poisson) and homogeneous networks. Computes equilibrium susceptible contact effort, value functions, epidemic trajectories, and the effective reproduction number Rt.
License: MIT + file LICENSE
URL: https://doi.org/10.5281/zenodo.19381052
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, graphics
Suggests: ggplot2, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-04-03 02:28:24 UTC; WWN
Author: Weinan Wang [aut, cre]
Maintainer: Weinan Wang <ww@ou.edu>
Repository: CRAN
Date/Publication: 2026-04-09 09:00:09 UTC

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New package sccic with initial version 0.1.0
Package: sccic
Title: Synthetic Control Changes-in-Changes Estimator
Version: 0.1.0
Description: Implements the Changes-in-Changes (CIC) estimator of Athey and Imbens (2006) <doi:10.1111/j.1468-0262.2006.00668.x> combined with synthetic control methods. Provides nonparametric estimation of the entire counterfactual distribution of outcomes for a treated group, allowing evaluation of average, quantile, and distributional treatment effects. Synthetic control weights are constructed via elastic net regularization to handle settings with many potential control units.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: glmnet, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2, wooldridge, qte, Synth
VignetteBuilder: knitr
URL: https://github.com/neilhwang/sccic
BugReports: https://github.com/neilhwang/sccic/issues
NeedsCompilation: no
Packaged: 2026-04-03 20:29:50 UTC; neilh
Author: Neil Hwang [aut, cre]
Maintainer: Neil Hwang <neil.hwang@bcc.cuny.edu>
Repository: CRAN
Date/Publication: 2026-04-09 09:00:15 UTC

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New package rbfmvar with initial version 2.0.2
Package: rbfmvar
Title: Residual-Based Fully Modified Vector Autoregression
Version: 2.0.2
Description: Implements the Residual-Based Fully Modified Vector Autoregression (RBFM-VAR) estimator of Chang (2000) <doi:10.1017/S0266466600166071>. The RBFM-VAR procedure extends Phillips (1995) FM-VAR to handle any unknown mixture of I(0), I(1), and I(2) components without prior knowledge of the number or location of unit roots. Provides automatic lag selection via information criteria (AIC, BIC, HQ), long-run variance estimation using Bartlett, Parzen, or Quadratic Spectral kernels with Andrews (1991) <doi:10.2307/2938229> automatic bandwidth selection, Granger non-causality testing with asymptotically chi-squared Wald statistics, impulse response functions (IRF) with bootstrap confidence intervals, forecast error variance decomposition (FEVD), and out-of-sample forecasting.
License: GPL-3
URL: https://github.com/muhammedalkhalaf/rbfmvar
BugReports: https://github.com/muhammedalkhalaf/rbfmvar/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, MASS
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-04-02 15:26:13 UTC; SYSTEM
Author: Muhammad Alkhalaf [aut, cre, cph] , Yoosoon Chang [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-09 08:20:08 UTC

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New package palimpsestr with initial version 0.10.0
Package: palimpsestr
Title: Probabilistic Decomposition of Archaeological Palimpsests
Version: 0.10.0
Description: Probabilistic framework for the analysis of archaeological palimpsests based on the Stratigraphic Entanglement Field (SEF). Integrates spatial proximity, stratigraphic depth, chronological overlap, and cultural similarity to estimate latent depositional phases via diagonal Gaussian mixture Expectation-Maximisation (EM). Provides the Stratigraphic Entanglement Index (SEI), Excavation Stratigraphic Energy (ESE), and Palimpsest Dissolution Index (PDI) for quantifying depositional coherence, detecting intrusive finds, and measuring palimpsest formation. Includes simulation, diagnostics, phase-count selection, publication-quality plots, and Geographic Information System (GIS) export via 'sf'. Methods are described in Cocca (2026) <https://github.com/enzococca/palimpsestr>.
URL: https://github.com/enzococca/palimpsestr
BugReports: https://github.com/enzococca/palimpsestr/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: stats, utils, graphics, grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, sf, ggplot2, viridis, ggrepel, plotly, DBI, RSQLite, RPostgres
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-03 06:22:25 UTC; enzo
Author: Enzo Cocca [aut, cre]
Maintainer: Enzo Cocca <enzo.ccc@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-09 09:00:21 UTC

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New package midnight with initial version 0.2.0
Package: midnight
Title: A 'tidymodels' Engine and Other Extensions for the 'midr' Package
Version: 0.2.0
Description: Provides a 'parsnip' engine for the 'midr' package, enabling users to fit, tune, and evaluate Maximum Interpretation Decomposition (MID) models within the 'tidymodels' framework. Developed through research by the Moonlight Seminar 2025, a study group of actuaries from the Institute of Actuaries of Japan, to enhance practical applications of interpretable modeling. Detailed methodology is available in Asashiba et al. (2025) <doi:10.48550/arXiv.2506.08338>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: graphics, midr (>= 0.6.0), rlang, Rcpp, stats, utils
Suggests: colormap, DALEX, ggbeeswarm, ggforce, ggplot2, MetBrewer, parsnip
URL: https://github.com/ryo-asashi/midnight, https://ryo-asashi.github.io/midnight/
BugReports: https://github.com/ryo-asashi/midnight/issues
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Packaged: 2026-04-02 21:20:21 UTC; daysb
Author: Ryoichi Asashiba [aut, cre]
Maintainer: Ryoichi Asashiba <ryoichi.asashiba@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-09 08:50:02 UTC

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New package MatchingPursuit with initial version 1.0.0
Package: MatchingPursuit
Title: Processing Time Series Data Using the Matching Pursuit Algorithm
Version: 1.0.0
Author: Artur Gramacki [aut, cre] , Jaroslaw Gramacki [ctb] , Piotr T. Rożanski [ctb]
Maintainer: Artur Gramacki <a.gramacki@gmail.com>
Description: Provides tools for analysing and decomposing time series data using the Matching Pursuit (MP) algorithm, a greedy signal decomposition technique that represents complex signals as a linear combination of simpler functions (called atoms) selected from a redundant dictionary. For more details see Mallat and Zhang (1993) <doi:10.1109/78.258082>, Pati et al. (1993) <doi:10.1109/ACSSC.1993.342465>, Elad (2010) <doi:10.1007/978-1-4419-7011-4> and Różański (2024) <doi:10.1145/3674832>.
SystemRequirements: external tool (installed via empi.install() function). The package uses the implementation of the Matching Pursuit algorithm by Piotr T. Różański, available at https://github.com/develancer/empi)
Imports: edf, signal, RSQLite, DescTools, imager, raster, graphics, grDevices, utils, digest
Suggests: knitr, rmarkdown, latex2exp, remotes
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-02 23:47:19 UTC; Artur
Repository: CRAN
Date/Publication: 2026-04-09 08:50:19 UTC

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New package ISO6976.2016 with initial version 0.1-0
Package: ISO6976.2016
Version: 0.1-0
Date: 2026-03-28
Title: Calorific Values and Properties of Natural Gas per ISO 6976:2016
Depends: R (>= 3.5.0)
LinkingTo: Rcpp
Imports: Rcpp (>= 1.0), R6
Suggests: knitr, lintr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: false
ByteCompile: true
Description: Calculates calorific values (gross and net), density, relative density, and Wobbe indices together with their standard uncertainties from natural gas composition, implementing the method of ISO 6976:2016 "Natural Gas — Calculation of calorific values, density, relative density and Wobbe indices from composition". Uncertainty propagation follows Annex B of that standard. Reference: International Organization for Standardization (2016) <https://www.iso.org/standard/55842.html>.
License: GPL (>= 3)
URL: https://github.com/RuedigerForster/ISO_6976
BugReports: https://github.com/RuedigerForster/ISO_6976/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-04-03 17:25:49 UTC; WinUser
Author: Ruediger Forster [aut, cre]
Maintainer: Ruediger Forster <meticulous.measurements@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-09 09:00:46 UTC

More information about ISO6976.2016 at CRAN
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New package holideh with initial version 0.1.0
Package: holideh
Title: Working with Canadian Dates
Version: 0.1.0
Description: Convenience date tools for identifying weekends, business days, and Canadian holidays, including R wrappers for the Canada Holidays API <https://canada-holidays.ca/>.
License: MIT + file LICENSE
URL: https://adamoshen.github.io/holideh/, https://github.com/adamoshen/holideh/
BugReports: https://github.com/adamoshen/holideh/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr, httr2, lubridate, magrittr, purrr, rlang, stringr, tibble, tidyr, tidyselect, utf8
Suggests: fansi, knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-04 01:26:20 UTC; Adam
Author: Adam Shen [aut, cph, cre]
Maintainer: Adam Shen <adamshen1@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-09 09:00:31 UTC

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New package ggseg.meshes with initial version 0.0.1
Package: ggseg.meshes
Title: Additional Brain Surface Meshes for the 'ggsegverse' Ecosystem
Version: 0.0.1
Description: Provides additional brain surface meshes for cortical and cerebellar visualisation in the 'ggsegverse' ecosystem. Cortical surfaces include pial, white, midthickness, semi-inflated, sphere, smoothwm, and orig at fsaverage5 resolution. Cerebellar surfaces include the Spatially Unbiased Infratentorial Template (SUIT) flatmap. All meshes follow the same vertices/faces data frame format used by 'ggseg.formats' and 'ggseg3d'.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Imports: cli
Suggests: freesurfer, freesurferformats, gifti, ggseg.formats, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://github.com/ggsegverse/ggseg.meshes, https://ggsegverse.github.io/ggseg.meshes/
BugReports: https://github.com/ggsegverse/ggseg.meshes/issues
NeedsCompilation: no
Packaged: 2026-04-03 17:34:44 UTC; athanasm
Author: Athanasia Mo Mowinckel [aut, cre] , Center for Lifespan Changes in Brain and Cognition , University of Oslo [cph]
Maintainer: Athanasia Mo Mowinckel <a.m.mowinckel@psykologi.uio.no>
Repository: CRAN
Date/Publication: 2026-04-09 08:50:08 UTC

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New package fluorojip with initial version 0.1.1
Package: fluorojip
Title: Analysis of Chlorophyll a Fluorescence Transient Parameters
Version: 0.1.1
Description: Computes chlorophyll a fluorescence transient parameters from fluorescence summary data, including minimum and maximum fluorescence, selected transient steps, and area. Provides standard photosynthetic performance indices and fluxes per reaction center and per cross section. Includes helpers to read exported trace tables in supported 'csv' formats and validation workflows based on bundled example files, as well as visualization tools and an interactive 'shiny' interface. The implemented calculations are based on Strasser et al. (2004) <doi:10.1007/978-1-4020-3218-9_12> and Stirbet and Govindjee (2011) <doi:10.1016/j.jphotobiol.2010.12.010>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, utils, graphics, grDevices, readxl
LazyData: true
Suggests: knitr, rmarkdown, scatterplot3d, shiny, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-02 23:14:24 UTC; Everthon
Author: Joao Everthon da Silva Ribeiro [aut, cre], Toshik Iarley da Silva [aut], Ronald Maldonado Rodriguez [aut]
Maintainer: Joao Everthon da Silva Ribeiro <everthonribeiro10@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-09 08:50:14 UTC

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New package AplosNCA with initial version 1.0.1
Package: AplosNCA
Title: Use 'Aplos NCA API' for Pharmacokinetic Analysis
Version: 1.0.1
Description: Using this package you can interact with the 'Aplos NCA API'<https://docs.aplosanalytics.com/> using standard R functions. This will allow you to authenticate with your 'Aplos NCA' account, upload input datasets, initiate analyses, and download results.
License: MIT + file LICENSE
URL: https://github.com/AplosAnalytics/AplosNCA
BugReports: https://github.com/AplosAnalytics/AplosNCA/issues
Encoding: UTF-8
VignetteBuilder: knitr
Imports: AzureAuth, httr, jsonlite, stringr
Suggests: httptest2, testthat (>= 3.0.0), knitr, rmarkdown, withr, downloader
NeedsCompilation: no
Packaged: 2026-04-02 21:22:51 UTC; nathanteuscher
Author: Nathan Teuscher [aut, cre]
Maintainer: Nathan Teuscher <nathan@aplosanalytics.com>
Repository: CRAN
Date/Publication: 2026-04-09 08:50:24 UTC

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New package AntClassify with initial version 0.1.0
Package: AntClassify
Title: Functional Guilds, Invasion Status, Endemism, and Rarity of Ants
Version: 0.1.0
Description: Provides functions for the analysis of ant communities, aiming to standardize workflows in myrmecology. The package automates the assignment of species to functional guilds based on trophic strategies, feeding habits, and foraging behavior, using established classification frameworks (Silva et al., 2015; Silvestre et al., 2003; Delabie et al., 2000), and also includes a novel classification system implemented within the package, developed from ant species occurring in urban environments. It also includes routines to flag exotic species (Vieira, 2025), identify endemic species (Silva et al., 2025), and classify species rarity and rarity forms (Silva et al., 2024). The package reduces manual effort and improves reproducibility, supporting research and biodiversity management of Neotropical ant communities.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, stringr, scales, ggplot2, rlang, magrittr, stats
Depends: R (>= 3.5)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/cogdebora/AntClassify
BugReports: https://github.com/cogdebora/AntClassify/issues
NeedsCompilation: no
Packaged: 2026-04-01 14:48:01 UTC; 55119
Author: Debora Goncalves [aut, cre]
Maintainer: Debora Goncalves <debora_cog@outlook.com>
Repository: CRAN
Date/Publication: 2026-04-09 08:50:30 UTC

More information about AntClassify at CRAN
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Wed, 08 Apr 2026

New package SVARtca with initial version 1.0.2
Package: SVARtca
Title: Transmission Channel Analysis in Structural VAR Models
Version: 1.0.2
Date: 2026-03-15
Description: Implements Transmission Channel Analysis (TCA) for structural vector autoregressive (SVAR) models following the methodology of Wegner, Lieb, and Smeekes (2025) <doi:10.48550/arXiv.2405.18987>. TCA decomposes impulse response functions (IRFs) into contributions from distinct transmission channels using a systems form representation and directed acyclic graph (DAG) path analysis. Supports overlapping channels, exhaustive 3-way and 4-way decompositions via inclusion-exclusion principle. This is a parallel R implementation of the 'tca-matlab-toolbox' (<https://github.com/enweg/tca-matlab-toolbox>).
License: MIT + file LICENSE
URL: https://github.com/muhammedalkhalaf/SVARtca
BugReports: https://github.com/muhammedalkhalaf/SVARtca/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Matrix, ggplot2, rlang
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, vars
NeedsCompilation: no
Packaged: 2026-04-02 15:26:36 UTC; SYSTEM
Author: Muhammad Alkhalaf [aut, cre] , Emanuel Wegner [ctb] , Lenard Lieb [ctb] , Stephan Smeekes [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-08 19:10:27 UTC

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New package standrecon with initial version 0.1.0
Package: standrecon
Title: Reconstruct Historical Forest Stand Conditions
Version: 0.1.0
Description: Reconstructs forest stand basal area and stem density at user-specified reference years using tree-level inventory data. The method estimates missing tree ages, back-calculates diameters using species-specific growth rates, and incorporates decay-class-based decomposition to infer mortality timing for dead trees. Results are returned in a tidy long format suitable for analysis and visualization.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/kriggithub/standrecon
BugReports: https://github.com/kriggithub/standrecon/issues
Suggests: testthat (>= 3.0.0)
Imports: stats, utils
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-04-01 22:43:12 UTC; Kurt
Author: Kurt Riggin [aut, cre, cph]
Maintainer: Kurt Riggin <krigscholar@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-08 19:10:12 UTC

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New package gpss with initial version 1.0.3
Package: gpss
Title: Gaussian Processes for Social Science
Version: 1.0.3
Date: 2026-04-01
Description: Provides Gaussian process (GP) regression tools for social science inference problems. GPs combine flexible nonparametric regression with principled uncertainty quantification: rather than committing to a single model fit, the posterior reflects lesser knowledge at the edge of or beyond the observed data, where other approaches become highly model-dependent. The package reduces user-chosen hyperparameters from three to zero and supplies convenience functions for regression discontinuity (gp_rdd()), interrupted time-series (gp_its()), and general GP fitting (gpss(), gp_train(), gp_predict()). Methods are described in Cho, Kim, and Hazlett (2026) <doi:10.1017/pan.2026.10032>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://doeunkim.org/gpss/, https://github.com/doeun-kim/gpss
BugReports: https://github.com/doeun-kim/gpss/issues
Imports: Rcpp (>= 1.0.14), Matrix, ggplot2, rlang
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.5.0)
LazyData: true
Suggests: MASS, posterior, testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-04-01 20:02:06 UTC; chadhazlett
Author: Soonhong Cho [aut], Doeun Kim [aut] , Chad Hazlett [aut, cre]
Maintainer: Chad Hazlett <chazlett@ucla.edu>
Repository: CRAN
Date/Publication: 2026-04-08 19:10:17 UTC

More information about gpss at CRAN
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New package fastFGEE with initial version 0.1.0
Package: fastFGEE
Title: Fast Functional Generalized Estimating Equations via a One-Step Estimator
Version: 0.1.0
Description: Fits functional generalized estimating equations for longitudinal functional outcomes and covariates using a one-step estimator that is fast even for large cluster sizes or large numbers of clusters. The package supports quasi-likelihoods derived from a range of families, common link functions, and several working correlation structures. Uncertainty quantification is based on sandwich variance estimators and bootstrap procedures that remain valid even when the working correlation is incorrectly specified. The package provides an implementation of the method described in Loewinger et al. (2025) <https://pmc.ncbi.nlm.nih.gov/articles/PMC12306803/>. For irregularly spaced AR(1) precision matrices, the package can optionally use the archived package 'irregulAR1'; if needed, it can be obtained from the CRAN Archive at <https://cran.r-project.org/src/contrib/Archive/irregulAR1/>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.2)
Imports: data.table, ggplot2, gridExtra, MASS, Matrix, mgcv, refund, Rfast, SuperGauss
Suggests: irregulAR1, knitr, rmarkdown, sanic, Rcpp, RcppArmadillo
VignetteBuilder: knitr
URL: https://github.com/gloewing/fastFGEE
BugReports: https://github.com/gloewing/fastFGEE/issues
NeedsCompilation: no
Packaged: 2026-04-01 18:37:49 UTC; loewingergc
Author: Gabriel Loewinger [aut, cre]
Maintainer: Gabriel Loewinger <gloewinger@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-08 19:10:22 UTC

More information about fastFGEE at CRAN
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New package VizModules with initial version 0.1.1
Package: VizModules
Title: Flexible, Interactive 'shiny' Modules for Almost Any Plot
Version: 0.1.1
Description: Offers a core selection of interactivity-first 'shiny' modules for many plot types meant to serve as flexible building blocks for applications and as the base for more complex modules. These modules allow for the rapid and convenient construction of 'shiny' apps with very few lines of code and decouple plotting from the underlying data. These modules allow for full plot aesthetic customization by the end user through UI inputs. Utility functions for simple UI organization, automated UI tooltips, and additional plot enhancements are also provided.
License: MIT + file LICENSE
Depends: shiny, dittoViz, plotly, R (>= 4.5), shinyBS, plotthis (>= 0.11.0)
Imports: roclang, colourpicker, dplyr, DT, readxl, shinyjs, scales, shinyjqui, ggplot2, htmltools, jsonlite, methods, shinyWidgets, htmlwidgets
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, shinytest2, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://j-andrews7.github.io/VizModules/, https://github.com/j-andrews7/VizModules
NeedsCompilation: no
Packaged: 2026-04-01 15:57:59 UTC; jandrews
Author: Jared Andrews [aut, cre] , Jacob Martin [aut]
Maintainer: Jared Andrews <jared.andrews07@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-08 19:00:02 UTC

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New package drmeta with initial version 0.1.0
Package: drmeta
Title: Design-Robust Meta-Analysis via Variance-Function Models
Version: 0.1.0
Description: Implements Design-Robust Meta-Analysis (DR-Meta), a variance-function random-effects framework in which between-study heterogeneity is modelled as a function of a study-level design robustness index, allowing heterogeneity to depend systematically on study quality or design strength rather than being treated as a single nuisance parameter. The package provides profiled restricted maximum likelihood (REML) estimation of the overall effect and variance-function parameters, study-specific weights, heterogeneity diagnostics (tau-squared, I-squared), influence and leave-one-out analysis, and graphical tools including forest plots and influence plots. The DR-Meta framework nests classical fixed-effects and standard random-effects meta-analysis as special cases, making it a strict generalisation of existing approaches.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: grDevices, graphics, stats, utils
Suggests: ggplot2 (>= 3.4.0), knitr, metafor (>= 4.0.0), rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/causalfragility-lab/drmeta
BugReports: https://github.com/causalfragility-lab/drmeta/issues
NeedsCompilation: no
Packaged: 2026-04-01 22:48:08 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-04-08 18:40:03 UTC

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New package weightedVoronoi with initial version 1.1.1
Package: weightedVoronoi
Title: Weighted Spatial Tessellations in Constrained Polygon Domains
Version: 1.1.1
Depends: R (>= 4.1.0)
Description: Provides tools for weighted spatial tessellation using Euclidean and geodesic distances within constrained polygonal domains. The package can generate complete and connected spatial partitions that respect complex boundaries, heterogeneous point weights, and optional resistance or terrain effects. The methods extend weighted Voronoi tessellations to constrained domains and graph-based cost-distance surfaces. For background see Aurenhammer (1991) <doi:10.1145/116873.116880> and van Etten (2017) <doi:10.18637/jss.v076.i13>.
URL: https://HarriRaven.github.io/weightedVoronoi/, https://github.com/HarriRaven/weightedVoronoi
BugReports: https://github.com/HarriRaven/weightedVoronoi/issues
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: methods, sf, stats, terra, dplyr, gdistance, raster, Matrix
NeedsCompilation: no
Packaged: 2026-04-02 11:20:26 UTC; exet4339
Author: Harri Ravenscroft [aut, cre]
Maintainer: Harri Ravenscroft <harri.ravenscroft@hotmail.co.uk>
Repository: CRAN
Date/Publication: 2026-04-08 14:20:03 UTC

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New package sparsecommunity with initial version 0.1.1
Package: sparsecommunity
Title: Spectral Community Detection for Sparse Networks
Version: 0.1.1
Description: Implements spectral clustering algorithms for community detection in sparse networks under the stochastic block model ('SBM') and degree-corrected stochastic block model ('DCSBM'), following the methods of Lei and Rinaldo (2015) <doi:10.1214/14-AOS1274>. Provides a regularized normalized Laplacian embedding, spherical k-median clustering for 'DCSBM', standard k-means for 'SBM', simulation utilities for both models, and a misclustering rate evaluation metric. Also includes the 'NCAA' college football network of Girvan and Newman (2002) <doi:10.1073/pnas.122653799> as a benchmark dataset, and the Bethe-Hessian community number estimator of Hwang (2023) <doi:10.1080/01621459.2023.2223793>.
License: GPL-3
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.0.0)
Imports: graphics, Matrix, methods, RSpectra, stats
Suggests: irlba, clue, igraph, igraphdata, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-02 10:58:16 UTC; neilh
Author: Neil Hwang [aut, cre]
Maintainer: Neil Hwang <neil.hwang@bcc.cuny.edu>
Repository: CRAN
Date/Publication: 2026-04-08 14:10:02 UTC

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New package sparqlr with initial version 0.1.0
Package: sparqlr
Title: A SPARQL Client for R
Version: 0.1.0
Description: Provides a client for running SPARQL queries directly from R. SPARQL (short for SPARQL Protocol and RDF Query Language) is a query language used to retrieve and manipulate data stored in RDF (Resource Description Framework) format.
License: GPL-3
URL: https://github.com/sib-swiss/sparqlr
BugReports: https://github.com/sib-swiss/sparqlr/issues
Depends: R (>= 4.1.0)
Imports: dplyr, httr2, purrr, rlang, stringr, tibble, tidyr
Suggests: knitr, lintr, rcmdcheck, rmarkdown, styler, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-02 09:12:39 UTC; rengler
Author: Marco Pagni [aut] , Robin Engler [aut, cre] , SIB Swiss Institute of Bioinformatics [cph]
Maintainer: Robin Engler <robin.engler@sib.swiss>
Repository: CRAN
Date/Publication: 2026-04-08 14:10:08 UTC

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New package smimodel with initial version 0.1.3
Package: smimodel
Title: Sparse Multiple Index Models for Nonparametric Forecasting
Version: 0.1.3
Description: Implements a general algorithm for estimating Sparse Multiple Index (SMI) models for nonparametric forecasting and prediction. Estimation of SMI models requires the Gurobi mixed integer programming (MIP) solver via the gurobi R package. To use this functionality, the Gurobi Optimizer must be installed, and a valid license obtained and activated from <https://www.gurobi.com>. The gurobi R package must then be installed and configured following the instructions at <https://support.gurobi.com/hc/en-us/articles/14462206790033-How-do-I-install-Gurobi-for-R>. The package also includes functions for fitting nonparametric additive models with backward elimination, group-wise additive index models, and projection pursuit regression models as benchmark comparison methods. In addition, it provides tools for generating prediction intervals to quantify uncertainty in point forecasts produced by the SMI model and benchmark models, using the classical block bootstrap and a new method call [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cgaim, conformalForecast, dplyr, furrr, future, generics, ggplot2, gratia, gtools, Matrix, methods, mgcv, purrr, ROI, tibble, tidyselect, tidyr, tsibble, utils
Suggests: gurobi, knitr, lubridate, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/nuwani-palihawadana/smimodel, https://nuwani-palihawadana.github.io/smimodel/
BugReports: https://github.com/nuwani-palihawadana/smimodel/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-02 05:48:54 UTC; nkod0004
Author: Nuwani Palihawadana [aut, cre, cph] , Xiaoqian Wang [ctb]
Maintainer: Nuwani Palihawadana <nuwanipalihawadana@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-08 14:10:13 UTC

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New package Nestimate with initial version 0.3.0
Package: Nestimate
Title: Network Estimation, Bootstrap, and Higher-Order Analysis
Version: 0.3.0
Description: Estimate, compare, and analyze dynamic and psychological networks using a unified interface. Provides transition network analysis estimation (transition, frequency, co-occurrence, attention-weighted) Saqr et al. (2025) <doi:10.1145/3706468.3706513>, psychological network methods (correlation, partial correlation, 'graphical lasso', 'Ising') Saqr, Beck, and Lopez-Pernas (2024) <doi:10.1007/978-3-031-54464-4_19>, and higher-order network methods including higher-order networks, higher-order network embedding, hyper-path anomaly, and multi-order generative model. Supports bootstrap inference, permutation testing, split-half reliability, centrality stability analysis, mixed Markov models, multi-cluster multi-layer networks and clustering.
License: MIT + file LICENSE
URL: https://github.com/mohsaqr/Nestimate
BugReports: https://github.com/mohsaqr/Nestimate/issues
Language: en-US
Encoding: UTF-8
Imports: ggplot2, glasso, data.table, cluster
Suggests: testthat (>= 3.0.0), tna, cograph, igraph, glmnet, lavaan, stringdist, nnet, IsingFit, bootnet, gimme, qgraph, reticulate, gridExtra, knitr, rmarkdown, pkgdown
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-02 11:13:24 UTC; mohammedsaqr
Author: Mohammed Saqr [aut, cre, cph], Sonsoles Lopez-Pernas [aut]
Maintainer: Mohammed Saqr <saqr@saqr.me>
Repository: CRAN
Date/Publication: 2026-04-08 14:20:09 UTC

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New package CEDMr with initial version 0.1.0
Package: CEDMr
Title: Capability-Ecological Developmental Model (CEDM) Analysis
Version: 0.1.0
Description: Implements the Capability-Ecological Developmental Model (CEDM) for longitudinal and multilevel data. The package supports estimation and interpretation of models examining how socioeconomic status (SES), health indicators, and contextual factors jointly relate to academic outcomes. Functionality includes: (1) classification of ecological capability regimes (amplifying, neutral, compensatory); (2) estimation of moderated multilevel models with higher-order interaction terms; (3) causal mediation analysis using doubly robust estimation; (4) random-effects within-between (REWB) decomposition; (5) nonlinear moderation using restricted cubic splines; (6) clustering of longitudinal health trajectories; and (7) sensitivity analysis using the impact threshold for a confounding variable (ITCV) and robustness-to-replacement (RIR) measures. The package is designed for use with general longitudinal multilevel datasets.
License: MIT + file LICENSE
URL: https://github.com/causalfragility-lab/CEDMr
BugReports: https://github.com/causalfragility-lab/CEDMr/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.1.0), ggplot2 (>= 3.4.0), lme4 (>= 1.1-31), magrittr (>= 2.0.0), mediation (>= 4.5.0), rlang (>= 1.1.0), rms (>= 6.7-0), stats, tidyr (>= 1.3.0)
Suggests: cluster (>= 2.1.4), konfound (>= 0.4.0), mice (>= 3.16.0), testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-04-02 04:12:12 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-04-08 14:30:02 UTC

More information about CEDMr at CRAN
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New package integrity with initial version 1.0
Package: integrity
Title: Tests Checking for Implausible Values in Clinical Trials Data
Version: 1.0
Date: 2026-03-10
VignetteBuilder: knitr
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2, dplyr, janitor, gtsummary, ggpubr, lubridate, car, rlang
Suggests: knitr, readxl, yaml
Description: Sixteen individual participant data-specific checks in a report-style result. Items are automated where possible, and are grouped into eight domains, including unusual data patterns, baseline characteristics, correlations, date violations, patterns of allocation, internal and external inconsistencies, and plausibility of data. The package may be applied by evidence synthesists, editors, and others to determine whether a randomised controlled trial may be considered trustworthy to contribute to the evidence base that informs policy and practice. For more details, see Hunter et al. (2024) <doi:10.1002/jrsm.1738> and <doi:10.32614/RJ-2017-008> in the same issue of Research Synthesis Methods.
License: GPL-3
URL: https://github.sydney.edu.au/Charles-Perkins-Centre-Data-Science-Hub/CPCDASH0010
NeedsCompilation: no
Packaged: 2026-04-02 08:31:36 UTC; dstr7320
Author: Sol Libesman [aut], Kylie Hunter [aut], David Nguyen [aut], Dario Strbenac [aut, cre], Jie Kang [aut]
Maintainer: Dario Strbenac <dario.strbenac@sydney.edu.au>
Repository: CRAN
Date/Publication: 2026-04-08 14:00:03 UTC

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Tue, 07 Apr 2026

New package scholidonline with initial version 0.1.0
Package: scholidonline
Title: Resolution, Conversion, Linking and Metadata for Scholarly Identifiers
Version: 0.1.0
Language: en-US
Description: Enables querying of scholarly identifier services to verify identifier existence, convert identifiers across systems, retrieve bibliographic metadata, and discover linked identifiers. Supports common identifier types including DOI, PMID, PMCID, arXiv, and ORCID.
License: MIT + file LICENSE
URL: https://thomas-rauter.github.io/scholidonline/
BugReports: https://github.com/Thomas-Rauter/scholidonline/issues
Depends: R (>= 4.0.0)
Imports: scholid, httr2, rlang
Suggests: testthat (>= 3.0.0), knitr (>= 1.30), rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-02 08:29:42 UTC; thomasrauter
Author: Thomas Rauter [aut, cre, fnd]
Maintainer: Thomas Rauter <rauterthomas0@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-07 08:10:02 UTC

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New package WHORiskCalculator with initial version 1.0.0
Package: WHORiskCalculator
Title: WHO Cardiovascular Disease Risk Calculator
Version: 1.0.0
Description: Implements the 2019 World Health Organization (WHO) cardiovascular disease (CVD) risk prediction models, as described in Kaptoge et al. (2019) <doi:10.1016/S2214-109X(19)30318-3>. Provides two validated models for estimating 10-year risk of fatal and non-fatal cardiovascular events (myocardial infarction and stroke): a laboratory-based model using age, sex, systolic blood pressure, total cholesterol, smoking status, and diabetes history; and a non-laboratory-based model substituting body mass index (BMI) for cholesterol and diabetes, suitable for resource-limited settings. Risk estimates are recalibrated to 21 Global Burden of Disease regions using region-specific incidence rates and risk factor distributions derived from the Emerging Risk Factors Collaboration. Functions are fully vectorized for efficient batch calculations and support automatic country-to-region mapping via ISO 3166-1 alpha-3 country codes.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: devtools, renv, spelling
Language: en-US
NeedsCompilation: no
Packaged: 2026-04-01 09:59:18 UTC; r878876
Author: WHO CVD Risk Chart Working Group [aut], Andrea Pedot [cre, ctb]
Maintainer: Andrea Pedot <andrea.pedot@unimi.it>
Repository: CRAN
Date/Publication: 2026-04-07 07:30:09 UTC

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New package ukbflow with initial version 0.3.3
Package: ukbflow
Title: Streamlined Workflow for UK Biobank Data Extraction, Analysis, and Visualization
Version: 0.3.3
Description: Provides a streamlined workflow for UK Biobank cloud-based analysis on the Research Analysis Platform (RAP). Includes tools for phenotype extraction and decoding, variable derivation, survival and association analysis, genetic risk score computation, and publication-quality visualization. For details on the UK Biobank resource, see Bycroft et al. (2018) <doi:10.1038/s41586-018-0579-z>.
License: MIT + file LICENSE
URL: https://github.com/evanbio/ukbflow, https://evanbio.github.io/ukbflow/
BugReports: https://github.com/evanbio/ukbflow/issues
Depends: R (>= 4.1)
Imports: broom, cli, curl, data.table, dplyr, forestploter, gt, gtsummary, jsonlite, processx, rlang, survival, tidyselect, tools
Encoding: UTF-8
Suggests: knitr, pagedown, pROC, rmarkdown, testthat (>= 3.0.0), mockery, webshot2, withr
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-04-01 10:01:17 UTC; 84241
Author: Yibin Zhou [aut, cre]
Maintainer: Yibin Zhou <evanzhou.bio@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-07 07:40:02 UTC

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New package readelan with initial version 0.1.0
Package: readelan
Title: Read 'ELAN' Files
Version: 0.1.0
Description: The goal of the 'readelan' is to provide a simple way to read data and metadata in files created with the annotation software 'ELAN' <https://archive.mpi.nl/tla/elan> into R as data frames.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: tools, utils, xml2
URL: https://github.com/borstell/readelan
BugReports: https://github.com/borstell/readelan/issues
NeedsCompilation: no
Packaged: 2026-04-01 17:33:24 UTC; carlborstell
Author: Carl Boerstell [aut, cre, cph]
Maintainer: Carl Boerstell <carl.borstell@uib.no>
Repository: CRAN
Date/Publication: 2026-04-07 08:00:02 UTC

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New package progressify with initial version 0.1.0
Package: progressify
Version: 0.1.0
Title: Progress Reporting of Common Functions via One Magic Function
Description: The progressify() function rewrites (transpiles) calls to sequential and parallel map-reduce functions such as base::lapply(), purrr::map(), foreach::foreach(), and plyr::llply() to signal progress updates. By combining this function with R's native pipe operator, you have a straightforward way to report progress on iterative computations with minimal refactoring, e.g. 'lapply(x, fcn) |> progressify()' and 'purrr::map(x, fcn) |> progressify()'. It is compatible with the 'futurize' package for parallelization, e.g. 'lapply(x, fcn) |> progressify() |> futurize()' and 'purrr::map(x, fcn) |> futurize() |> progressify()'.
License: GPL (>= 3)
Depends: R (>= 4.1.0), progressr
Imports: methods
Suggests: base64enc, commonmark, crossmap, doFuture, foreach, furrr, future.apply, futurize, partykit, plyr, purrr, tools
VignetteBuilder: progressify
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-02 08:05:19 UTC; hb
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Repository: CRAN
Date/Publication: 2026-04-07 08:00:08 UTC

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New package MEsreg with initial version 0.1.0
Package: MEsreg
Title: Generalized Maximum Entropy Estimation for Smooth Transition and Kink Regression Models
Version: 0.1.0
Maintainer: Woraphon Yamaka <woraphon.econ@gmail.com>
Description: Implements generalized maximum entropy estimation for linear regression, kink regression, and smooth transition kink regression models. The approach represents unknown parameters and disturbances as probability distributions over discrete support spaces and estimates them by maximizing entropy subject to model constraints. It is particularly suited to ill-posed problems and does not require distributional assumptions on the error term. The methods have been applied in empirical studies such as Tarkhamtham and Yamaka (2019) <https://thaijmath.com/index.php/thaijmath/article/view/867/870> and Maneejuk, Yamaka, and Sriboonchitta (2022) <doi:10.1080/03610918.2020.1836214>.
License: GPL-3
Encoding: UTF-8
Imports: Rsolnp, stats
Language: en-US
NeedsCompilation: no
Packaged: 2026-04-02 06:50:39 UTC; Acer
Author: Woraphon Yamaka [aut, cre], Paravee Maneejuk [aut], Nuttaphong Kaewtathip [aut]
Repository: CRAN
Date/Publication: 2026-04-07 07:50:07 UTC

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New package mapSenegal with initial version 0.1.1
Package: mapSenegal
Title: Administrative Boundaries of Senegal
Version: 0.1.1
Description: The administrative boundaries of Senegal are provided at several levels, including regions, departments, arrondissements and communes. The Global Administrative Areas database, or `GADM` <https://gadm.org/>, is the primary source for these layers. The dataset is complemented by the incorporation of additional geographic layers, such as localities, universities, roads, or health facility locations.
Depends: R (>= 3.5.0), sf
URL: https://github.com/mapSenegal/mapSenegal
BugReports: https://github.com/mapSenegal/mapSenegal/issues
Suggests: mapsf
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-02 07:44:48 UTC; tim
Author: Timothee Giraud [cre, aut] , Labaly Toure [aut] , Hugues Pecout [ctb] , Robert J. Hijmans [cph]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>
Repository: CRAN
Date/Publication: 2026-04-07 07:50:02 UTC

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New package ipgeolocation with initial version 0.1.0
Package: ipgeolocation
Title: Client for the 'IPGeolocation.io IP Location API'
Version: 0.1.0
Description: Provides functions to query the 'IPGeolocation.io IP Location API' (<https://ipgeolocation.io/documentation/ip-location-api.html>). Supports retrieval of IP location, ASN, network, currency, timezone, abuse, and security data. Response filtering is supported using 'fields' and 'excludes' parameters (dot notation supported), and optional objects can be requested via the 'include' parameter. Returns parsed API responses as R objects.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr2
Depends: R (>= 4.1.0)
URL: https://github.com/devjfreaks/ipgeolocation-r
BugReports: https://github.com/devjfreaks/ipgeolocation-r/issues
NeedsCompilation: no
Packaged: 2026-04-01 11:06:08 UTC; anwar
Author: Anwar Ahmed [aut, cre], IPGeolocation IO [cph]
Maintainer: Anwar Ahmed <anwar@jfreaks.com>
Repository: CRAN
Date/Publication: 2026-04-07 07:40:10 UTC

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New package forestBalance with initial version 0.1.0
Package: forestBalance
Title: Balancing Confounder Distributions with Forest Energy Balancing
Version: 0.1.0
Description: Estimates average treatment effects using kernel energy balancing with random forest similarity kernels. A multivariate random forest jointly models covariates, outcome, and treatment to build a similarity kernel between observations. This kernel is then used for energy balancing to create weights that control for confounding. The method is described in De and Huling (2025) <doi:10.48550/arXiv.2512.18069>.
License: GPL (>= 3)
URL: https://github.com/jaredhuling/forestBalance
BugReports: https://github.com/jaredhuling/forestBalance/issues
Encoding: UTF-8
LinkingTo: Rcpp, RcppEigen
Imports: grf (>= 2.3.0), MASS, Matrix, methods, Rcpp
Suggests: ggplot2, knitr, osqp, rmarkdown, testthat (>= 3.0.0), WeightIt
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-04-01 12:01:03 UTC; huling
Author: Jared Huling [aut, cre], Simion De [aut]
Maintainer: Jared Huling <jaredhuling@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-07 07:40:15 UTC

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New package assemblykor with initial version 0.1.1
Package: assemblykor
Title: Korean National Assembly Data for Political Science Education
Version: 0.1.1
Description: Provides ready-to-use datasets from the Korean National Assembly (assemblies 20 through 22, 2016-2026) for teaching quantitative methods in political science. Includes legislator metadata, bill proposals, roll call votes, asset declarations, and policy seminar records. Designed as a Korean politics counterpart to packages like 'palmerpenguins', enabling students to practice regression, panel data analysis, text analysis, and network analysis with real legislative data. Roll call vote data and spatial voting models are described in Poole and Rosenthal (1985) <doi:10.2307/2111172>. Legislative data is sourced from the Korean National Assembly Open API.
License: MIT + file LICENSE
URL: https://kyusik-yang.github.io/assemblykor/, https://github.com/kyusik-yang/assemblykor
BugReports: https://github.com/kyusik-yang/assemblykor/issues
Depends: R (>= 3.5.0)
Imports: utils
Suggests: arrow, broom, dplyr, fixest, ggplot2, htmltools, igraph, knitr, learnr, pkgdown, rmarkdown, scales, stringr, systemfonts, testthat (>= 3.0.0), tidyr, tidytext
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-01 09:34:52 UTC; kyusik
Author: Kyusik Yang [aut, cre]
Maintainer: Kyusik Yang <kyusik.yang@nyu.edu>
Repository: CRAN
Date/Publication: 2026-04-07 07:30:02 UTC

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New package aftPenCDA with initial version 0.1.0
Package: aftPenCDA
Title: Penalized AFT Estimation via Coordinate Descent
Version: 0.1.0
Maintainer: Suyeon Seon <seonsy429@gmail.com>
Description: Provides penalized accelerated failure time (AFT) model estimation for right-censored and partly interval-censored survival data using induced smoothing and coordinate descent algorithms. Supported penalties include broken adaptive ridge (BAR), LASSO, adaptive LASSO, and SCAD. Core estimation routines are implemented in 'C++' via 'Rcpp' and 'RcppArmadillo' for computational efficiency. The methodology is related to Zeng and Lin (2008) <doi:10.1093/biostatistics/kxm034>, Xu et al. (2010) <doi:10.1002/sim.2576>, Dai et al. (2018) <doi:10.1016/j.jmva.2018.08.007>, and Choi et al. (2025) <doi:10.48550/arXiv.2503.11268>.
URL: https://github.com/seonsy/aftPenCDA
BugReports: https://github.com/seonsy/aftPenCDA/issues
License: GPL-3
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-04-02 05:20:29 UTC; seonsuyeon
Author: Suyeon Seon [aut, cre], Taehwa Choi [aut], Dipankar Bandyopadhyay [aut], Dongha Kim [aut], Seongoh Park [aut]
Repository: CRAN
Date/Publication: 2026-04-07 07:40:21 UTC

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Sat, 04 Apr 2026

New package sov with initial version 1.0.3
Package: sov
Title: Calculate vs-SOVs and SOVs for Assemblies with D-Dimensional Voting
Version: 1.0.3
Description: Calculates vote-specific and traditional Shapley-Owen power indices (vs-SOVs and SOVs) for spatial voting games in one to four dimensions. Evaluates voter influence through an a posteriori analysis of relative preferences. Supports weighted voting and various voting thresholds. Compatible with ideal point estimates from NOMINATE, Optimal Classification, and 'MCMCpack'. The method builds on Bibina and Dougherty (2025) <doi:10.2139/ssrn.6324519>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, openxlsx, tibble, tidyr
Suggests: testthat (>= 3.0.0), withr
URL: https://github.com/spatial-voting-lab/sov
BugReports: https://github.com/spatial-voting-lab/sov/issues
NeedsCompilation: no
Packaged: 2026-03-31 19:09:49 UTC; emmab
Author: Keith Dougherty [aut], Emma Bibina [aut, cre]
Maintainer: Emma Bibina <emma.bibina@uga.edu>
Repository: CRAN
Date/Publication: 2026-04-04 09:10:02 UTC

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New package poissonsuperlearner with initial version 0.1.1
Package: poissonsuperlearner
Title: Poisson Super Learner
Version: 0.1.1
Description: Provides tools for fitting piece-wise constant hazard models for survival and competing risks data, including ensemble hazard estimation via the Super Learner framework. The package supports estimation of survival functions and absolute risk predictions from fitted cause-specific hazard models. For the Super Learner framework see van der Laan, Polley and Hubbard (2007) <doi:10.2202/1544-6115.1309>.
License: GPL (>= 2)
LinkingTo: Rcpp
Encoding: UTF-8
Depends: data.table, sampling, riskRegression
Imports: Rcpp, methods, lava, Matrix, glmnet, mgcv
Suggests: knitr, rmarkdown, survival, prodlim, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-04-01 07:01:29 UTC; pwt887
Author: Gabriele Pittarello [aut, cre], Helene Rytgaard [aut], Thomas Gerds [aut]
Maintainer: Gabriele Pittarello <gabriele.pittarello@sund.ku.dk>
Repository: CRAN
Date/Publication: 2026-04-04 10:00:02 UTC

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New package misc with initial version 0.0.5
Package: misc
Title: Miscellaneous Functions for Data and Geospatial Work
Version: 0.0.5
Description: Helpers for common data analysis tasks including missing-value summaries and filters, simple reporting and plotting utilities, 'Excel' import and export workflows, and reading geospatial formats (for example shapefiles in zip archives, file geodatabases, KMZ, and KML) via 'sf' and related packages. Also includes small project utilities such as creating directories, gitignore scaffolding, combined package loading, and optional 'lintr' setup.
Depends: R (>= 4.1.0)
Imports: data.table, dplyr, fs, ggplot2, glue, here, magrittr, purrr, tidyr, tools, usethis, readr, mapview, sf, rlang, jsonlite, writexl, zip
Suggests: clipr, conflicted, covr, janitor, lexicon, magick, naniar, readxl, rnaturalearth, skimr, stringr, testthat, textclean, tidyselect, lintr
License: MIT + file LICENSE
URL: https://github.com/kguidonimartins/misc
BugReports: https://github.com/kguidonimartins/misc/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-31 19:47:34 UTC; karloguidoni
Author: Karlo Guidoni Martins [aut, cre]
Maintainer: Karlo Guidoni Martins <kguidonimartins@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-04 09:10:07 UTC

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New package AIBias with initial version 0.1.0
Package: AIBias
Title: Longitudinal Bias Auditing for Sequential Decision Systems
Version: 0.1.0
Description: Provides tools for detecting, quantifying, and visualizing algorithmic bias as a longitudinal process in repeated decision systems. Existing fairness metrics treat bias as a single-period snapshot; this package operationalizes the view that bias in sequential systems must be measured over time. Implements group-specific decision-rate trajectories, standardized disparity measures analogous to the standardized mean difference (Cohen, 1988, ISBN:0-8058-0283-5), cumulative bias burden, Markov-based transition disparity (recovery and retention gaps), and a dynamic amplification index that quantifies whether prior decisions compound current group inequality. The amplification framework extends longitudinal causal inference ideas from Robins (1986) <doi:10.1016/0270-0255(86)90088-6> and the sequential decision-process perspective in the fairness literature (see <https://fairmlbook.org>) to the audit setting. Covariate-adjusted trajectories are estimated via logistic regression, ge [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: dplyr (>= 1.1.0), tidyr (>= 1.3.0), ggplot2 (>= 3.4.0), rlang (>= 1.1.0), cli (>= 3.6.0), purrr (>= 1.0.0), tibble (>= 3.2.0)
Suggests: mgcv, lme4, boot, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
Depends: R (>= 4.1.0)
URL: https://github.com/causalfragility-lab/AIBias
BugReports: https://github.com/causalfragility-lab/AIBias/issues
NeedsCompilation: no
Packaged: 2026-03-31 21:42:48 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-04-04 09:30:08 UTC

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Fri, 03 Apr 2026

New package ravel with initial version 0.1.1
Package: ravel
Title: AI Copilot for R Analysis Workflows in 'RStudio'
Version: 0.1.1
Description: An AI copilot for R users in 'RStudio' and Posit workflows with active-editor, workspace, object, console, plot, and git-aware context. Provides statistical helpers for interpreting lm() and glm() models, stages code and file actions before execution, drafts reproducible 'Quarto' content, and connects to official provider APIs or CLIs for 'OpenAI', 'GitHub Copilot', 'Gemini', and 'Anthropic'.
License: MIT + file LICENSE
URL: https://github.com/msaule/ravel, https://msaule.github.io/ravel/
BugReports: https://github.com/msaule/ravel/issues
Language: en-US
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: cli, digest, httr2, jsonlite, miniUI, rstudioapi, shiny, stats, tibble, tools, utils
Suggests: keyring, knitr, lintr, pkgdown, rcmdcheck, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-31 15:56:01 UTC; saule
Author: Markuss Saule [aut, cre, cph]
Maintainer: Markuss Saule <markusstomas@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-03 20:30:02 UTC

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New package multipleITScontrol with initial version 0.1.0
Package: multipleITScontrol
Title: Interrupted Time Series with a Control and Multiple Interventions
Version: 0.1.0
Description: Provides tools to perform interrupted-time series through a generalised least squares (GLS) framework on linear outcomes. Allows for multiple interventions and a control with ARMA (autoregressive and moving-average) correction. For more details see Lopez Bernal, Cummins, and Gasparrini (2017) <doi:10.1093/ije/dyw098>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggpubr, DT, forcats, lubridate, sjPlot, stringi, zoo, tidyr
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
Imports: magrittr, dplyr, tibble, rlang, purrr, nlme, AICcmodavg, ggplot2, scales, grid, stats, stringr
URL: https://herts-phei.github.io/multipleITScontrol/
NeedsCompilation: no
Packaged: 2026-03-31 11:34:06 UTC; vyu
Author: Victor Yu [cre, aut], Emily Dickson [ctb]
Maintainer: Victor Yu <victor.yu@hertfordshire.gov.uk>
Repository: CRAN
Date/Publication: 2026-04-03 20:10:02 UTC

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New package symMCD with initial version 0.6
Package: symMCD
Title: Symmetrized MCD
Version: 0.6
Date: 2026-03-31
Imports: Rcpp (>= 0.11.0)
LinkingTo: Rcpp, RcppArmadillo
Description: Provides implementations of origin-based and symmetrized minimum covariance determinant (MCD) estimators, together with supporting utility functions.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2026-03-31 10:52:44 UTC; nordklau
Author: Klaus Nordhausen [aut, cre] , Christophe Croux [aut]
Maintainer: Klaus Nordhausen <klaus.nordhausenr@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-03 15:30:07 UTC

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New package OdysseusSurvivalModule with initial version 0.1.0
Package: OdysseusSurvivalModule
Title: Cohort-Based Single-Event Survival Utilities
Version: 0.1.0
Description: Tools to build single-event survival datasets from "OMOP CDM" cohorts and estimate survival outcomes. The package supports Kaplan-Meier, Cox proportional hazards, and parametric accelerated-failure-time models, with optional stratification by gender and age groups.
License: Apache License (== 2.0)
Imports: DatabaseConnector, ggsurvfit, SqlRender, survival
Suggests: Eunomia, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-31 09:53:41 UTC; AlexanderAleksiayuk
Author: Alexander Alexeyuk [aut, cre]
Maintainer: Alexander Alexeyuk <AlexanderAlexeyuk@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-03 15:30:17 UTC

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New package easyComment with initial version 2.0.0
Package: easyComment
Title: Generate Comment Boxes with Custom Alignment
Version: 2.0.0
Description: Provides a function to generate comment boxes framed with '#' characters, with configurable width and text alignment (left, center, or right). Useful for formatting scripts and improving code readability.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-31 08:54:49 UTC; gm666338
Author: Gregoire Muller [aut, cre]
Maintainer: Gregoire Muller <muller.gregoire@protonmail.com>
Repository: CRAN
Date/Publication: 2026-04-03 15:30:12 UTC

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New package mpmaggregate with initial version 0.2.5
Package: mpmaggregate
Title: Aggregate Matrix Population Models
Version: 0.2.5
Date: 2026-03-30
Author: Richard A. Hinrichsen [aut, cre] , Roberto Salguero-Gomez [aut] , Hiroyuki Yokomizo [aut]
Maintainer: Richard A. Hinrichsen <r.hinrichsen.ecology@gmail.com>
Description: Aggregates matrix population models (MPMs) in both the lambda (stable growth rate) and R0 (net reproductive rate) frameworks, including standard and elasticity-consistent aggregators. Standard aggregation in the lambda framework maintains consistent lambda and stable stage distribution, while standard aggregation in the R0 framework maintains consistent R0 and cohort stable stage distribution. Elasticity-consistent aggregators maintain these same consistencies with respect to the chosen framework and additionally preserve consistent reproductive values in the lambda framework and cohort reproductive values in the R0 framework. Aggregation can take the form of general-to-general MPM (mpm_aggregate) or Leslie-to-Leslie MPM (leslie_aggregate).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: expm
Suggests: testthat (>= 3.0.0), roxygen2, knitr, rmarkdown, Rcompadre, kableExtra, rphylopic, collidr, png
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-31 03:36:50 UTC; Rich
Repository: CRAN
Date/Publication: 2026-04-03 09:10:02 UTC

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New package zmctp with initial version 0.1.0
Package: zmctp
Title: Zero-Modified Complex 'Tri-Parametric' Pearson Distribution for Overdispersed Count Data
Version: 0.1.0
Description: Implements zero-modified versions of the Complex 'Tri-Parametric' Pearson distribution for overdispersed count data. The package addresses limitations of existing implementations when the parameter b approaches zero. It provides distribution functions, maximum likelihood estimation, and diagnostic tools for modeling count data with excess zeros. The methodology is based on 'Rodriguez-Avi' and coauthors (2003) <doi:10.1007/s00362-002-0134-7>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, spelling
VignetteBuilder: knitr
URL: https://github.com/roladoja/zmctp
BugReports: https://github.com/roladoja/zmctp/issues
Maintainer: Rasheedat Oladoja <roladoja@ttu.edu>
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-30 15:14:35 UTC; kemmi
Author: Rasheedat Oladoja [aut, cre]
Repository: CRAN
Date/Publication: 2026-04-03 08:00:02 UTC

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New package tulpaMesh with initial version 0.1.1
Package: tulpaMesh
Title: Constrained Delaunay Triangulation Meshes for Spatial 'SPDE' Models
Version: 0.1.1
Description: Generate constrained Delaunay triangulation meshes for use with stochastic partial differential equation (SPDE) spatial models (Lindgren, Rue and Lindstroem 2011 <doi:10.1111/j.1467-9868.2011.00777.x>). Provides automatic mesh generation from point coordinates with boundary constraints, Ruppert refinement for mesh quality, finite element method (FEM) matrix assembly (mass, stiffness, projection), barrier models, spherical meshes via icosahedral subdivision, and metric graph meshes for network geometries. Built on the 'CDT' header-only C++ library (Amirkhanov 2024 <https://github.com/artem-ogre/CDT>). Designed as the mesh backend for the 'tulpa' Bayesian hierarchical modelling engine but usable standalone for any spatial triangulation task.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: C++17, GNU make
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 1.0.12), Matrix (>= 1.5-0), RcppParallel
Suggests: testthat (>= 3.0.0), sf, fmesher, ggplot2, svglite, knitr, rmarkdown
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppParallel
URL: https://github.com/gcol33/tulpaMesh
BugReports: https://github.com/gcol33/tulpaMesh/issues
NeedsCompilation: yes
Packaged: 2026-03-30 19:16:03 UTC; Gilles Colling
Author: Gilles Colling [aut, cre, cph] , Artem Amirkhanov [ctb, cph] ), William C. Lenthe [ctb, cph] )
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-03 08:20:02 UTC

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New package statAfrikR with initial version 0.1.0
Package: statAfrikR
Title: Statistical Tools for African National Statistics Institutes
Version: 0.1.0
Description: A comprehensive statistical toolbox for National Statistics Institutes (INS) in Africa. Provides functions for survey data import ('KoboToolbox', 'ODK', 'CSPro', 'Excel', 'Stata', 'SPSS'), data processing and validation, weighted statistical analysis (descriptive statistics, cross-tabulations, regression, Human Development Index (HDI), Multidimensional Poverty Index (MPI) following Alkire and Foster (2011) <doi:10.1093/oep/gpr051>, inequalities), visualization (age pyramids, thematic maps, official charts) and dissemination ('SDMX' export, 'DDI' metadata, anonymization, Word/PDF reports). Designed to work in resource-constrained environments, offline and in French.
License: GPL (>= 3)
Encoding: UTF-8
Language: fr
URL: https://github.com/damoko2004/statAfrikR
BugReports: https://github.com/damoko2004/statAfrikR/issues
Depends: R (>= 4.2.0)
Imports: dplyr (>= 1.1.0), forcats (>= 1.0.0), ggplot2 (>= 3.4.0), haven (>= 2.5.0), readr (>= 2.1.0), readxl (>= 1.4.0), rlang (>= 1.1.0), scales (>= 1.2.0), stringr (>= 1.5.0), survey (>= 4.1.0), tibble (>= 3.1.0), tidyr (>= 1.3.0)
Suggests: flextable (>= 0.9.0), httr2 (>= 0.2.0), jsonlite (>= 1.8.0), officer (>= 0.6.0), openxlsx2 (>= 0.8.0), sf (>= 1.0.0), srvyr (>= 1.1.0), testthat (>= 3.0.0), rmarkdown (>= 2.20), withr (>= 2.5.0), knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-30 20:25:08 UTC; dickersamoko
Author: Dikers Amoko [aut, cre]
Maintainer: Dikers Amoko <diamoko@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-03 08:20:08 UTC

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New package shard with initial version 0.1.0
Package: shard
Title: Deterministic, Zero-Copy Parallel Execution for R
Version: 0.1.0
Description: Provides a parallel execution runtime for R that emphasizes deterministic memory behavior and efficient handling of large shared inputs. 'shard' enables zero-copy parallel reads via shared/memory-mapped segments, encourages explicit output buffers to avoid large result aggregation, and supervises worker processes to mitigate memory drift via controlled recycling. Diagnostics report peak memory usage, end-of-run memory return, and hidden copy/materialization events to support reproducible performance benchmarking.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: methods, parallel, stats, tools, utils
Suggests: knitr, pkgload, rmarkdown, testthat (>= 3.0.0), ps, jsonlite, tibble, withr
VignetteBuilder: knitr
NeedsCompilation: yes
URL: https://bbuchsbaum.github.io/shard/, https://github.com/bbuchsbaum/shard
BugReports: https://github.com/bbuchsbaum/shard/issues
SystemRequirements: POSIX shared memory (optional), memory-mapped files
Packaged: 2026-03-30 21:15:29 UTC; bbuchsbaum
Author: Bradley Buchsbaum [aut, cre, cph]
Maintainer: Bradley Buchsbaum <brad.buchsbaum@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-03 08:40:02 UTC

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New package seroreconstruct with initial version 1.1.5
Package: seroreconstruct
Title: Reconstructing Antibody Dynamics to Estimate the Risk of Influenza Virus Infection
Version: 1.1.5
Maintainer: Tim Tsang <timkltsang@gmail.com>
Description: A Bayesian framework for inferring influenza infection status from serial antibody measurements. Jointly estimates season-specific infection probabilities, antibody boosting and waning after infection, and baseline hemagglutination inhibition (HAI) titer distributions via Markov chain Monte Carlo (MCMC). Supports multi-season analysis and subgroup comparisons via a group_by interface. See Tsang et al. (2022) <doi:10.1038/s41467-022-29310-8> for methodological details.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: TRUE
URL: https://github.com/timktsang/seroreconstruct
BugReports: https://github.com/timktsang/seroreconstruct/issues
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.9), RcppParallel
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
SystemRequirements: TBB
NeedsCompilation: yes
Packaged: 2026-03-30 14:58:37 UTC; timtsang
Author: Tim Tsang [aut, cre]
Repository: CRAN
Date/Publication: 2026-04-03 08:50:03 UTC

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New package scip with initial version 1.10.0-2
Package: scip
Title: Interface to the SCIP Optimization Suite
Version: 1.10.0-2
Description: Provides an R interface to SCIP (Solving Constraint Integer Programs), a framework for mixed-integer programming (MIP), mixed-integer nonlinear programming (MINLP), and constraint integer programming (2025, <doi:10.48550/arXiv.2511.18580>). Supports linear, quadratic, SOS, indicator, and knapsack constraints with continuous, binary, and integer variables. Includes a one-shot solver interface and a model-building API for incremental problem construction.
License: Apache License (>= 2)
URL: https://github.com/bnaras/scip, https://scipopt.org/
BugReports: https://github.com/bnaras/scip/issues
Depends: R (>= 4.0)
Imports: methods, Matrix
Suggests: tinytest, slam, knitr, rmarkdown
VignetteBuilder: knitr
SystemRequirements: CMake (>= 3.11), GNU make, C++17
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-03-31 01:10:17 UTC; naras
Author: Balasubramanian Narasimhan [aut, cre] , SCIP Optimization Suite Authors [cph]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>
Repository: CRAN
Date/Publication: 2026-04-03 09:00:02 UTC

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New package mlstm with initial version 0.1.6
Package: mlstm
Title: Multilevel Supervised Topic Models with Multiple Outcomes
Version: 0.1.6
Description: Fits latent Dirichlet allocation (LDA), supervised topic models, and multilevel supervised topic models for text data with multiple outcome variables. Core estimation routines are implemented in C++ using the 'Rcpp' ecosystem. For topic models, see Blei et al. (2003) <https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf>. For supervised topic models, see Blei and McAuliffe (2007) <https://papers.nips.cc/paper_files/paper/2007/hash/d56b9fc4b0f1be8871f5e1c40c0067e7-Abstract.html>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: Rcpp, Matrix, data.table, RcppParallel, stats
LinkingTo: Rcpp, RcppArmadillo, RcppParallel, BH
SystemRequirements: C++17
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://thimeno1993.github.io/mlstm/
BugReports: https://github.com/thimeno1993/mlstm/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-03-30 23:46:18 UTC; tomoya
Author: Tomoya Himeno [aut, cre]
Maintainer: Tomoya Himeno <bd24f002@g.hit-u.ac.jp>
Repository: CRAN
Date/Publication: 2026-04-03 09:00:10 UTC

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New package MAIHDA with initial version 0.1.0
Package: MAIHDA
Title: Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy
Version: 0.1.0
Description: Provides a comprehensive toolkit for conducting Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA). Methods are described in Merlo (2018) <doi:10.1016/j.socscimed.2017.12.018> and Evans et al. (2018) <doi:10.1016/j.socscimed.2017.11.011>. Automatically generates intersectional strata, fits analytical models, extracts statistics, and produces visualizations.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: lme4 (>= 1.1-27), ggplot2 (>= 3.3.0), dplyr (>= 1.0.0), tidyr (>= 1.1.0), stats, rlang (>= 0.4.0)
Suggests: brms (>= 2.15.0), testthat (>= 3.0.0), knitr, rmarkdown, boot (>= 1.3-20)
VignetteBuilder: knitr
URL: https://github.com/hdbt/MAIHDA, https://hdbt.github.io/MAIHDA/
BugReports: https://github.com/hdbt/MAIHDA/issues
NeedsCompilation: no
Packaged: 2026-03-30 17:53:10 UTC; hamid
Author: Hamid Bulut [aut, cre]
Maintainer: Hamid Bulut <hamid.bulut@ymail.com>
Repository: CRAN
Date/Publication: 2026-04-03 08:10:02 UTC

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New package csmbuilder with initial version 0.1.0
Package: csmbuilder
Title: A Collection of Tools for Building Cropping System Models
Version: 0.1.0
Description: A collection of tools for designing, implementing, testing, documenting and visualizing dynamic simulation cropping system models. Models are specified as a combination of state variables, parameters, intermediate factors and input data that define a system of ordinary differential equations. Specified models can be used to simulate dynamic processes using numerical integration algorithms.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.2.0)
Suggests: deSolve, Rcpp, tinytest
NeedsCompilation: no
Packaged: 2026-03-30 20:32:52 UTC; palderman
Author: Phillip D Alderman [aut, cre], Pratishtha Poudel [aut]
Maintainer: Phillip D Alderman <phillip.alderman@okstate.edu>
Repository: CRAN
Date/Publication: 2026-04-03 08:20:15 UTC

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New package birdcolors with initial version 1.0.1
Package: birdcolors
Title: Create Palettes from the Colors of the World's Birds
Date: 2026-03-30
Version: 1.0.1
Depends: R (>= 4.0)
Description: Create attractive palettes based on the colors of the world's birds. Palettes are composed of 2 to 9 colors, with options to expand palettes via interpolation. Compatible with the package 'ggplot2' and base R graphics.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2
NeedsCompilation: no
Packaged: 2026-03-30 20:21:15 UTC; benjamintonelli
Author: Ben Tonelli [aut, cre], Casey Youngflesh [aut], Chris Sayers [ctb], Ellie Magaldi [ctb]
Maintainer: Ben Tonelli <btonell@clemson.edu>
Repository: CRAN
Date/Publication: 2026-04-03 08:20:20 UTC

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New package balnet with initial version 0.0.1
Package: balnet
Title: Pathwise Estimation of Covariate Balancing Propensity Scores
Version: 0.0.1
Description: Provides pathwise estimation of regularized logistic propensity score models using covariate balancing loss functions rather than maximum likelihood. Regularization paths are fit via the 'adelie' elastic-net solver with a 'glmnet'-like interface and objectives that directly target covariate balance for the ATE and ATT. For details, see Sverdrup & Hastie (2026) <doi:10.48550/arXiv.2602.18577>.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: Rcpp, RcppEigen
SystemRequirements: C++17
Imports: Rcpp, Matrix, methods
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
URL: https://github.com/erikcs/balnet
BugReports: https://github.com/erikcs/balnet/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-03-31 02:29:15 UTC; erikcs
Author: Erik Sverdrup [aut, cre], Trevor Hastie [aut], James Yang [ctb]
Maintainer: Erik Sverdrup <erik.sverdrup@monash.edu>
Repository: CRAN
Date/Publication: 2026-04-03 09:00:16 UTC

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New package lineagefreq with initial version 0.2.0
Package: lineagefreq
Title: Lineage Frequency Dynamics from Genomic Surveillance Counts
Version: 0.2.0
Description: Models pathogen lineage frequency dynamics from genomic surveillance count data. Provides a unified interface for multinomial logistic regression, hierarchical partial-pooling models, and the Piantham approximation for relative reproduction number estimation. Features include rolling-origin backtesting, standardized forecast scoring, lineage collapsing, emergence detection, and sequencing power analysis. Designed for real-time public health surveillance of any variant-resolved pathogen. Methods described in Abousamra, Figgins, and Bedford (2024) <doi:10.1371/journal.pcbi.1012443>.
License: MIT + file LICENSE
URL: https://github.com/CuiweiG/lineagefreq
BugReports: https://github.com/CuiweiG/lineagefreq/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.4.0), dplyr (>= 1.1.0), grDevices, ggplot2 (>= 3.4.0), MASS, numDeriv, rlang (>= 1.1.0), stats, tibble (>= 3.1.0), tidyr (>= 1.3.0)
Suggests: broom, cmdstanr, covr, knitr, posterior, rmarkdown, testthat (>= 3.0.0), withr
Additional_repositories: https://mc-stan.org/r-packages/
VignetteBuilder: knitr
Language: en-US
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-30 15:43:33 UTC; openclaw
Author: Cuiwei Gao [aut, cre, cph]
Maintainer: Cuiwei Gao <48gaocuiwei@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-03 08:00:08 UTC

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Thu, 02 Apr 2026

New package syntheticdata with initial version 0.1.0
Package: syntheticdata
Title: Synthetic Clinical Data Generation and Privacy-Preserving Validation
Version: 0.1.0
Description: Generates synthetic clinical datasets that preserve statistical properties while reducing re-identification risk. Implements Gaussian copula simulation, bootstrap with noise injection, and Laplace noise perturbation, with built-in utility and privacy validation metrics. Useful for privacy-aware data sharing in multi-site clinical research. Validates synthetic data quality via distributional similarity (Kolmogorov-Smirnov), discriminative accuracy (real-vs-synthetic classifier), and nearest-neighbor privacy ratio. Methods described in Jordon et al. (2022) <doi:10.48550/arXiv.2205.03257> and Snoke et al. (2018) <doi:10.1111/rssa.12358>.
License: MIT + file LICENSE
URL: https://github.com/CuiweiG/syntheticdata
BugReports: https://github.com/CuiweiG/syntheticdata/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.4.0), dplyr (>= 1.1.0), stats, tibble (>= 3.1.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-30 12:09:41 UTC; openclaw
Author: Cuiwei Gao [aut, cre, cph]
Maintainer: Cuiwei Gao <48gaocuiwei@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-02 20:20:02 UTC

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New package survinger with initial version 0.1.0
Package: survinger
Title: Design-Adjusted Inference for Pathogen Lineage Surveillance
Version: 0.1.0
Description: Provides tools for optimizing sequencing resource allocation and estimating pathogen lineage prevalence under real-world genomic surveillance conditions. Implements constrained allocation optimization for limited sequencing capacity across multiple regions and sample sources. Includes Horvitz-Thompson and post-stratified estimators that account for unequal sequencing rates, delay-adjusted nowcasting for right-censored reporting data, and combined design-weighted delay-corrected inference with uncertainty propagation.
License: MIT + file LICENSE
URL: https://github.com/CuiweiG/survinger
BugReports: https://github.com/CuiweiG/survinger/issues
Depends: R (>= 4.1.0)
Imports: checkmate (>= 2.0.0), cli (>= 3.0.0), dplyr (>= 1.1.0), generics, ggplot2 (>= 3.4.0), methods, purrr, rlang (>= 1.0.0), stats, tibble
Suggests: MASS, Matrix, nloptr (>= 2.0.0), survey, tidyr, vctrs, covr, knitr, rmarkdown, scales, testthat (>= 3.0.0), withr
Encoding: UTF-8
Language: en-US
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-30 11:34:05 UTC; openclaw
Author: Cuiwei Gao [aut, cre, cph]
Maintainer: Cuiwei Gao <48gaocuiwei@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-02 20:10:02 UTC

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New package rjd3workspace with initial version 3.7.1
Package: rjd3workspace
Title: Wrangling 'JDemetra+ 3.x' Workspace
Version: 3.7.1
Description: R Interface to 'JDemetra+ 3.x'(<https://github.com/jdemetra>). It offers several functions to manipulate 'JDemetra+' workspaces, which can be read by the software and can store several seasonal adjusted series along with user-defined calendars or regression variables.
License: EUPL
URL: https://github.com/rjdverse/rjd3workspace, https://rjdverse.github.io/rjd3workspace/
BugReports: https://github.com/rjdverse/rjd3workspace/issues
Depends: R (>= 4.1.0)
Imports: rJava (>= 1.0-6), rjd3providers (>= 3.7.1), rjd3toolkit (>= 3.7.1), rjd3tramoseats (>= 3.7.1), rjd3x13 (>= 3.7.1), tools, utils, methods
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
SystemRequirements: Java (>= 21)
NeedsCompilation: no
Packaged: 2026-03-30 13:52:53 UTC; onyxia
Author: Jean Palate [aut], Alain Quartier-la-Tente [aut] , Tanguy Barthelemy [aut, cre, art], Anna Smyk [aut]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>
Repository: CRAN
Date/Publication: 2026-04-02 20:30:02 UTC

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New package MyoScore with initial version 1.0.1
Package: MyoScore
Title: Transcriptomic Scoring for Human Skeletal Muscle Health
Version: 1.0.1
Description: Calculate MyoScore, a genetically informed muscle health score, from bulk RNA sequencing (RNA-seq) raw count data. MyoScore integrates results from genome-wide association studies (GWAS) and transcriptome-wide association studies (TWAS) across 28 muscle-related phenotypes to quantify muscle health along five dimensions (Strength, Mass, LeanMuscle, Youth, Resilience), each scored from 0 to 100. The package provides preprocessing via counts per million (CPM) normalization, dimension-level and composite scoring, and visualization utilities including radar charts and grouped boxplots. For more information, see <https://github.com/Hirriririir/MyoScore>.
License: MIT + file LICENSE
URL: https://github.com/Hirriririir/MyoScore
BugReports: https://github.com/Hirriririir/MyoScore/issues
Depends: R (>= 4.0.0)
Imports: stats, utils, graphics, grDevices
Suggests: ggplot2 (>= 3.4.0), fmsb, patchwork, testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-29 18:27:25 UTC; hua
Author: Huahua Zhong [aut, cre]
Maintainer: Huahua Zhong <huahuazhong@fudan.edu.cn>
Repository: CRAN
Date/Publication: 2026-04-02 20:30:10 UTC

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New package clinicalfair with initial version 0.1.0
Package: clinicalfair
Title: Algorithmic Fairness Assessment for Clinical Prediction Models
Version: 0.1.0
Description: Post-hoc fairness auditing toolkit for clinical prediction models. Unlike in-processing approaches that modify model training, this package evaluates existing models by computing group-wise fairness metrics (demographic parity, equalized odds, predictive parity, calibration disparity), visualizing disparities across protected attributes, and performing threshold-based mitigation. Supports intersectional analysis across multiple attributes and generates audit reports useful for fairness-oriented auditing in clinical AI settings. Methods described in Obermeyer et al. (2019) <doi:10.1126/science.aax2342> and Hardt, Price, and Srebro (2016) <doi:10.48550/arXiv.1610.02413>.
License: MIT + file LICENSE
URL: https://github.com/CuiweiG/clinicalfair
BugReports: https://github.com/CuiweiG/clinicalfair/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.4.0), dplyr (>= 1.1.0), ggplot2 (>= 3.4.0), rlang (>= 1.1.0), stats, tibble (>= 3.1.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Language: en-US
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-30 12:34:39 UTC; openclaw
Author: Cuiwei Gao [aut, cre, cph]
Maintainer: Cuiwei Gao <48gaocuiwei@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-02 20:10:09 UTC

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New package pepdiff with initial version 1.0.0
Package: pepdiff
Title: Differential Abundance Analysis for Phosphoproteomics Data
Version: 1.0.0
Author: Dan MacLean [aut, cre]
Description: Provides tools for analyzing differential abundance in proteomics experiments. Implements S3 classes for data management and supports Generalized Linear Models (GLM; Nelder and Wedderburn (1972) <doi:10.2307/2344614>), Aligned Rank Transform (ART; Wobbrock et al. (2011) <doi:10.1145/1978942.1978963>), and pairwise test methods for statistical analysis. Includes visualization functions for Principal Component Analysis (PCA), volcano plots, and heatmaps.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, tidyr, tibble, rlang, readr, ggplot2, cowplot, emmeans, ARTool, stats, magrittr, stringr, forcats, grid
Suggests: ComplexHeatmap, UpSetR, RColorBrewer, viridis, circlize, factoextra, RankProd, MKinfer, testthat (>= 3.0.0), knitr, rmarkdown
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-30 12:23:29 UTC; macleand
Maintainer: Dan MacLean <dan.maclean@tsl.ac.uk>
Repository: CRAN
Date/Publication: 2026-04-02 20:00:02 UTC

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New package baskoptr with initial version 1.0.4
Package: baskoptr
Title: Utility-Based Optimization for Basket Trial Designs
Version: 1.0.4
Description: A unified framework for optimizing basket trial designs. To this end, the package supplies several utility functions and also a function for executing optimization algorithms on basket trial designs. The considered utility functions are discussed in Sauer et al. (2025) <doi:10.1371/journal.pone.0323097>.
License: MIT + file LICENSE
Imports: baskwrap (>= 1.0.1), future.apply
Suggests: optimizr (>= 1.0.0), baskexact (>= 1.0.0), testthat (>= 3.0.0), progressr, basksim (>= 2.0.0)
URL: https://github.com/LukasDSauer/baskoptr
BugReports: https://github.com/LukasDSauer/baskoptr/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-20 10:04:09 UTC; or415
Author: Lukas D Sauer [aut, cre]
Maintainer: Lukas D Sauer <sauer@imbi.uni-heidelberg.de>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-04-02 20:00:09 UTC

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New package shinyreprex with initial version 0.1.0
Package: shinyreprex
Title: Reproducible Code for 'Shiny' Objects
Version: 0.1.0
Description: Provides functionality to extract reactive expressions from a 'shiny' application and convert them into stand-alone R scripts. This enables users to reproduce tables and visualisations outside the interactive UI, facilitating integration into static reports or automated workflows without requiring access to the original application source code.
License: MIT + file LICENSE
URL: https://github.com/AscentSoftware/shinyreprex, https://ascentsoftware.github.io/shinyreprex/
BugReports: https://github.com/AscentSoftware/shinyreprex/issues
Depends: R (>= 4.3.0)
Imports: S7, constructive, purrr, rlang, styler
Suggests: knitr, rmarkdown, shiny, spelling, testthat (>= 3.0.0)
Language: en-GB
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-30 09:01:48 UTC; ashley.baldry
Author: Ashley Baldry [aut, cre]
Maintainer: Ashley Baldry <ashley.baldry@acuityanalytics.com>
Repository: CRAN
Date/Publication: 2026-04-02 08:00:02 UTC

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New package rescomp with initial version 1.0.0
Package: rescomp
Title: Efficient Modelling of Resource Competition
Version: 1.0.0
URL: https://github.com/pyrrhicpachyderm/rescomp
Description: Generate, simulate and visualise ODE models of consumer-resource interactions. At its core, 'rescomp' provides a resource competition modelling focused interface to 'deSolve', alongside flexible functions for visualising model properties and dynamics. More information, documentation and examples can be found on the package website.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, tidyr, deSolve, rlang, stats, cli, glue
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), vdiffr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-30 04:29:45 UTC; christopher
Author: Christopher R P Brown [aut, cre] , Jan Engelstaedter [aut] , Andrew Letten [aut]
Maintainer: Christopher R P Brown <c.r.brown@uq.edu.au>
Repository: CRAN
Date/Publication: 2026-04-02 07:50:02 UTC

More information about rescomp at CRAN
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New package refundBayes with initial version 0.5
Package: refundBayes
Encoding: UTF-8
Title: Bayesian Regression with Functional Data
Version: 0.5
Depends: R (>= 3.6.0)
Imports: brms, dplyr, ggplot2 (>= 2.0.0), mgcv, refund, rstan (>= 2.29.0), splines2, stats
Description: Bayesian regression with functional data, including regression with scalar, survival, or functional outcomes. The package allows regression with scalar and functional predictors. Methods are described in Jiang et al. (2025) "Tutorial on Bayesian Functional Regression Using Stan" <doi:10.1002/sim.70265>.
NeedsCompilation: no
BugReports: https://github.com/ZirenJiang/refundBayes/issues
License: GPL-2
URL: https://github.com/ZirenJiang/refundBayes
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2026-03-30 00:49:08 UTC; 12805
Author: Ziren Jiang [aut, cre], Erjia Cui [aut], Ciprian Crainiceanu [ctb]
Maintainer: Ziren Jiang <jian0746@umn.edu>
Repository: CRAN
Date/Publication: 2026-04-02 07:40:09 UTC

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New package PhaseGMM with initial version 0.1.0
Package: PhaseGMM
Title: Phase-Function Based Estimation and Inference for Linear Errors-in-Variables (EIV) Models
Version: 0.1.0
Description: Estimation and inference for coefficients of linear EIV models with symmetric measurement errors. The measurement errors can be homoscedastic or heteroscedastic, for the latter, replication for at least some observations needs to be available. The estimation method and asymptotic inference are based on a generalised method of moments framework, where the estimating equations are formed from (1) minimising the distance between the empirical phase function (normalised characteristic function) of the response and that of the linear combination of all the covariates at the estimates, and (2) minimising a corrected least-square discrepancy function. Specifically, for a linear EIV model with p error-prone and q error-free covariates, if replicates are available, the GMM approach is based on a 2(p+q) estimating equations if some replicates are available and based on p+2q estimating equations if no replicate is available. The details of the method are described in Nghiem and Potgieter (2020) & [...truncated...]
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: nleqslv
Suggests: extraDistr
NeedsCompilation: no
Packaged: 2026-03-30 01:13:06 UTC; liuchang
Author: Chang Liu [aut, cre], Linh Nghiem [aut]
Maintainer: Chang Liu <leo12345liu@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-02 07:50:17 UTC

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New package dsge with initial version 1.0.0
Package: dsge
Title: Dynamic Stochastic General Equilibrium Models
Version: 1.0.0
Description: Specify, solve, and estimate dynamic stochastic general equilibrium (DSGE) models by maximum likelihood and Bayesian methods. Supports both linear models via an equation-based formula interface and nonlinear models via string-based equations with first-order perturbation (linearization around deterministic steady state). Solution uses the method of undetermined coefficients (Klein, 2000 <doi:10.1016/S0165-1889(99)00045-7>). Likelihood evaluated via the Kalman filter. Bayesian estimation uses adaptive Random-Walk Metropolis-Hastings with prior specification. Additional tools include Kalman smoothing, historical shock decomposition, local identification diagnostics, parameter sensitivity analysis, second-order perturbation, occasionally binding constraints, impulse-response functions, forecasting, and robust standard errors.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: grDevices, graphics, stats, numDeriv
Suggests: coda, testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-30 03:36:44 UTC; musta
Author: Mustapha Wasseja Mohammed [aut, cre]
Maintainer: Mustapha Wasseja Mohammed <muswaseja@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-02 07:50:10 UTC

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Wed, 01 Apr 2026

New package stt.api with initial version 0.2.1
Package: stt.api
Title: 'OpenAI' Compatible Speech-to-Text API Client
Version: 0.2.1
Description: A minimal-dependency R client for 'OpenAI'-compatible speech-to-text APIs (see <https://platform.openai.com/docs/api-reference/audio>) with optional local fallbacks. Supports 'OpenAI', local servers, and the 'whisper' package for local transcription.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/cornball-ai/stt.api
BugReports: https://github.com/cornball-ai/stt.api/issues
Imports: curl, jsonlite
Suggests: tinytest, whisper
NeedsCompilation: no
Packaged: 2026-03-29 22:12:33 UTC; troy
Author: Troy Hernandez [aut, cre] , Cornball AI [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-04-01 20:00:02 UTC

More information about stt.api at CRAN
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New package SingleArmMRCT with initial version 0.1.1
Package: SingleArmMRCT
Title: Regional Consistency Probability for Single-Arm Multi-Regional Clinical Trials
Version: 0.1.1
Description: Provides functions to calculate and visualise the Regional Consistency Probability (RCP) for single-arm multi-regional clinical trials (MRCTs) using the Effect Retention Approach (ERA). Six endpoint types are supported: continuous, binary, count (negative binomial), time-to-event via hazard ratio, milestone survival, and restricted mean survival time (RMST). For each endpoint, both a closed-form (or semi-analytical) solution and a Monte Carlo simulation approach are implemented. Two consistency evaluation methods are available: Method 1 (effect retention in Region 1 relative to the overall population) and Method 2 (simultaneous positive effect across all regions). Plotting functions generate faceted visualisations of RCP as a function of the regional allocation proportion, overlaying formula and simulation results for direct comparison. The methodology follows the Japanese MHLW guidelines for MRCTs. Abbreviations used: RCP (Regional Consistency Probability), MRCT (Multi-Regional Clinic [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: stats, ggplot2 (>= 3.4.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://gosukehommaEX.github.io/SingleArmMRCT/, https://github.com/gosukehommaEX/SingleArmMRCT
BugReports: https://github.com/gosukehommaEX/SingleArmMRCT/issues
NeedsCompilation: no
Packaged: 2026-03-29 07:50:46 UTC; i_lik
Author: Gosuke Homma [aut, cre]
Maintainer: Gosuke Homma <my.name.is.gosuke@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-01 19:50:08 UTC

More information about SingleArmMRCT at CRAN
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New package likelihood.contr with initial version 0.1.1
Package: likelihood.contr
Title: Likelihood Contribution Models for Heterogeneous Observation Types
Version: 0.1.1
Depends: R (>= 3.5.0)
Description: Constructs likelihood models from heterogeneous observation types by composing named contributions. Each observation type (exact, left-censored, right-censored, interval-censored, or custom) contributes independently to the total log-likelihood, which is summed under an i.i.d. assumption. Provides contr_name() for standard R distributions and contr_fn() for user-defined contributions, composed via likelihood_contr() into objects compatible with the likelihood.model inference framework.
License: MIT + file LICENSE
URL: https://github.com/queelius/likelihood.contr
BugReports: https://github.com/queelius/likelihood.contr/issues
Encoding: UTF-8
Imports: likelihood.model, numDeriv
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-29 17:50:23 UTC; spinoza
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>
Repository: CRAN
Date/Publication: 2026-04-01 20:00:07 UTC

More information about likelihood.contr at CRAN
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New package gghinton with initial version 0.1.0
Package: gghinton
Title: Hinton Diagrams for 'ggplot2'
Version: 0.1.0
Description: Provides a 'ggplot2' extension for drawing Hinton diagrams, a visualisation technique for numerical matrices in which the area of each square is proportional to the magnitude of the corresponding entry. For signed data, white squares indicate positive values and black squares indicate negative values on a grey background. Hinton diagrams are especially useful for visualising PCA weight matrices, correlation matrices, and transition matrices.
License: MIT + file LICENSE
URL: https://github.com/robin-foster-rf/gghinton
BugReports: https://github.com/robin-foster-rf/gghinton/issues
Language: en-GB
Depends: R (>= 4.1.0)
Imports: cli (>= 3.4.0), ggplot2 (>= 3.4.0), rlang (>= 1.1.0)
Suggests: knitr, Matrix, patchwork, grid, scales (>= 1.3.0), rmarkdown, testthat (>= 3.0.0), tibble, vdiffr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-29 12:34:18 UTC; robin
Author: Robin Foster [aut, cre, cph]
Maintainer: Robin Foster <gghinton@proton.me>
Repository: CRAN
Date/Publication: 2026-04-01 19:50:02 UTC

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New package taxdiv with initial version 0.1.0
Package: taxdiv
Title: Taxonomic Diversity Indices Using Deng Entropy
Version: 0.1.0
Description: Calculates taxonomic diversity indices for ecological community data using Deng entropy framework and classical approaches (Shannon, Simpson, Clarke & Warwick). Provides functions for computing taxonomic distinctness, average taxonomic distinctness (AvTD/Delta+), variation in taxonomic distinctness (VarTD/Lambda+), and Deng entropy-based measures that incorporate taxonomic hierarchy information. Includes tools for constructing taxonomic trees and computing pairwise taxonomic distances.
Imports: stats, rlang
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
URL: https://github.com/mgorgoz/taxonomic-diversity-r, https://mgorgoz.github.io/taxonomic-diversity-r/
BugReports: https://github.com/mgorgoz/taxonomic-diversity-r/issues
NeedsCompilation: no
Packaged: 2026-03-28 21:33:27 UTC; muratgorgoz
Author: Muhammet Murat Gorgoz [aut, cre] , Kursad Ozkan [aut] , Mehmet Guvenc Negiz [aut]
Maintainer: Muhammet Murat Gorgoz <muratgorgoz350@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-01 08:50:02 UTC

More information about taxdiv at CRAN
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New package mtaOpenData with initial version 0.1.0
Package: mtaOpenData
Title: Convenient Access to MTA Open Data API Endpoints
Version: 0.1.0
Description: Provides helper functions to access datasets from the Metropolitan Transportation Authority (MTA) portion of the New York State Open Data platform <https://data.ny.gov/>. Returns results as tidy tibbles with support for optional filtering, sorting, and row limits through the Socrata API.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, tibble, jsonlite, httr, janitor, rlang
Suggests: curl, covr, knitr, testthat (>= 3.0.0), vcr, withr, webmockr, ggplot2
URL: https://martinezc1.github.io/mtaOpenData/, https://github.com/martinezc1/mtaOpenData
BugReports: https://github.com/martinezc1/mtaOpenData/issues
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-03-28 03:24:20 UTC; christianmartinez
Author: Christian Martinez [aut, cre]
Maintainer: Christian Martinez <c.martinez0@outlook.com>
Repository: CRAN
Date/Publication: 2026-04-01 08:30:02 UTC

More information about mtaOpenData at CRAN
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New package gcpca with initial version 0.0.1
Package: gcpca
Title: Generalized Contrastive Principal Component Analysis
Version: 0.0.1
Description: Implements dense and sparse generalized contrastive principal component analysis (gcPCA) with S3 fit objects and methods for prediction, summaries, and plotting. The gcPCA is a hyperparameter-free method for comparing high-dimensional datasets collected under different experimental conditions to reveal low-dimensional patterns enriched in one condition compared to the other. Method details are described in de Oliveira, Garg, Hjerling-Leffler, Batista-Brito, and Sjulson (2025) <doi:10.1371/journal.pcbi.1012747>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/SjulsonLab/generalized_contrastive_PCA
BugReports: https://github.com/SjulsonLab/generalized_contrastive_PCA/issues
Imports: graphics, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-28 01:20:40 UTC; fermi
Author: Eliezyer de Oliveira [aut, cre]
Maintainer: Eliezyer de Oliveira <eliezyer.deoliveira@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-01 08:30:08 UTC

More information about gcpca at CRAN
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New package EE.Data with initial version 0.1.1
Package: EE.Data
Title: Objects for Predicting Energy Expenditure
Version: 0.1.1
Description: This is a data-only package containing model objects that predict human energy expenditure from wearable sensor data. Supported methods include the neural networks of Montoye et al. (2017) <doi:10.1080/1091367X.2017.1337638> and the models of Staudenmayer et al. (2015) <doi:10.1152/japplphysiol.00026.2015>, one a linear model and the other a random forest. The package is intended as a spoke for the hub-package 'accelEE', which brings together the above methods and others from packages such as 'Sojourn' and 'TwoRegression.'
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Suggests: nnet, randomForest
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2026-03-28 11:20:13 UTC; phibbing
Author: Paul R. Hibbing [aut, cre], Alexander H.K. Montoye [ctb], John Staudenmayer [ctb], Children's Mercy Kansas City [cph]
Maintainer: Paul R. Hibbing <paulhibbing@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-01 08:50:16 UTC

More information about EE.Data at CRAN
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New package albersdown with initial version 1.0.0
Package: albersdown
Title: Minimalist Theme and Vignette Kit for 'pkgdown' and R Markdown
Version: 1.0.0
Description: Provides a minimalist 'ggplot2' theme, colour scales, and 'pkgdown' template built around a curated colour palette system inspired by Josef Albers' colour theory (Albers (1963, ISBN:978-0-300-17935-4) "Interaction of Color"). Includes helpers to apply consistent theming to 'ggplot2' plots, 'gt' tables, and 'bslib' Bootstrap 5 sites, along with one-command setup functions for adopting the style across an R package.
URL: https://github.com/bbuchsbaum/albersdown, https://bbuchsbaum.github.io/albersdown/
BugReports: https://github.com/bbuchsbaum/albersdown/issues
Depends: R (>= 4.1)
Imports: grDevices, grid, stats, ggplot2
Suggests: gt, bslib, usethis, yaml, cli, testthat, viridisLite, knitr, rmarkdown, pkgdown
Encoding: UTF-8
VignetteBuilder: knitr
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2026-03-28 13:04:28 UTC; bbuchsbaum
Author: Bradley R. Buchsbaum [aut, cre]
Maintainer: Bradley R. Buchsbaum <brad.buchsbaum@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-01 08:50:10 UTC

More information about albersdown at CRAN
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New package AgriDiversiX with initial version 0.1.0
Package: AgriDiversiX
Title: Agricultural Crop Diversification Indices Analysis
Version: 0.1.0
Depends: R (>= 3.5.0)
Imports: dplyr,DT,MCMCpack,ggplot2,tidyr,viridis
Description: Provides functions to compute agricultural crop diversification indices for crop data across zones and years. The package implements widely used diversification and concentration measures including Herfindahl Index,Simpson Index, Entropy Index, Ogive Index, and Maximum Proportion Index.
Encoding: UTF-8
License: GPL-3
NeedsCompilation: no
Maintainer: Santosha Rathod <santoshagriculture@gmail.com>
Packaged: 2026-03-28 06:18:15 UTC; pc
Author: Santosha Rathod [aut, cre], Mrinmoy Ray [aut, ctb], Prabhat Kumar [aut, ctb], Rahul Patil Kumar [aut, ctb], Anil Kumar [aut, ctb]
Repository: CRAN
Date/Publication: 2026-04-01 08:40:10 UTC

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New package nysOpenData with initial version 0.1.1
Package: nysOpenData
Title: Convenient Access to NYS Open Data API Endpoints
Version: 0.1.1
Description: Provides helper functions to access datasets from the NYS Open Data platform <https://data.ny.gov/>. Functions return results as tidy tibbles and support optional filtering, sorting, and row limits via the Socrata API.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, tibble, stringr, jsonlite, httr, janitor, rlang
Suggests: curl, covr, knitr, testthat (>= 3.0.0), vcr, withr, webmockr, ggplot2
URL: https://martinezc1.github.io/nysOpenData/, https://github.com/martinezc1/nysOpenData
BugReports: https://github.com/martinezc1/nysOpenData/issues
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-03-27 19:19:58 UTC; christianmartinez
Author: Christian Martinez [aut, cre]
Maintainer: Christian Martinez <c.martinez0@outlook.com>
Repository: CRAN
Date/Publication: 2026-04-01 08:00:14 UTC

More information about nysOpenData at CRAN
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New package catviz with initial version 0.1.1
Package: catviz
Title: Visualizing Causal Assignment Trees for CSDiD and DR-DDD Designs
Version: 0.1.1
Description: Tools for constructing, labeling, and visualizing Causal Assignment Trees (CATs) in settings with staggered adoption. Supports Callaway and Sant'Anna difference-in-differences (CSDiD) and doubly robust difference-in-difference-differences (DR-DDD) designs. The package helps clarify treatment timing, never-treated vs. not-yet-treated composition, and subgroup structure, and produces publication-quality diagrams and summary tables. Current functionality focuses on data-to-node mapping, node counts, cohort-year summaries, and high-quality tree plots suitable for empirical applications prior to estimation. Methods are based on Callaway and Sant'Anna (2021) <doi:10.1016/j.jeconom.2020.12.001>, Sant'Anna and Zhao (2020) <doi:10.1016/j.jeconom.2020.06.003>, and Kilanko (2026) <https://github.com/VictorKilanko/catviz>.
License: MIT + file LICENSE
URL: https://github.com/VictorKilanko/catviz
BugReports: https://github.com/VictorKilanko/catviz/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, glue, tidyr, purrr, tibble, grid, rlang
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-27 19:13:26 UTC; victo
Author: Victor Kilanko [aut, cre]
Maintainer: Victor Kilanko <victorkilanko@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-01 08:00:20 UTC

More information about catviz at CRAN
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New package bigKNN with initial version 0.3.0
Package: bigKNN
Title: Exact Search and Graph Construction for 'bigmemory' Matrices
Version: 0.3.0
Date: 2026-03-26
Author: Frederic Bertrand [aut, cre]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Exact nearest-neighbour and radius-search routines that operate directly on 'bigmemory::big.matrix' objects. The package streams row blocks through 'BLAS' kernels, supports self-search and external-query search, exposes prepared references for repeated queries, and can build exact k-nearest-neighbour, radius, mutual k-nearest-neighbour, and shared-nearest-neighbour graphs. Version 0.3.0 adds execution plans, serializable prepared caches, resumable streamed graph jobs, coercion helpers, exact candidate reranking, and recall summaries for evaluating approximate neighbours.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: Matrix, Rcpp (>= 1.0.12), methods
Suggests: bigmemory, knitr, rmarkdown, testthat (>= 3.0.0)
LinkingTo: Rcpp, bigmemory, BH
Encoding: UTF-8
NeedsCompilation: yes
URL: https://fbertran.github.io/bigKNN/, https://github.com/fbertran/bigKNN
BugReports: https://github.com/fbertran/bigKNN/issues
VignetteBuilder: knitr
Packaged: 2026-03-27 01:16:22 UTC; bertran7
Repository: CRAN
Date/Publication: 2026-04-01 08:00:26 UTC

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New package bigANNOY with initial version 0.3.0
Package: bigANNOY
Title: Approximate k-Nearest Neighbour Search for 'bigmemory' Matrices with Annoy
Version: 0.3.0
Date: 2026-03-27
Author: Frederic Bertrand [aut, cre]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Approximate Euclidean k-nearest neighbour search routines that operate on 'bigmemory::big.matrix' data through Annoy indexes created with 'RcppAnnoy'. The package builds persistent on-disk indexes plus sidecar metadata from streamed 'big.matrix' rows, supports euclidean, angular, Manhattan, and dot-product Annoy metrics, and can either return in-memory results or stream neighbour indices and distances into destination 'bigmemory' matrices. Explicit index life cycle helpers, stronger metadata validation, descriptor-aware file-backed workflows, and benchmark helpers are also included.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: methods, Rcpp, RcppAnnoy
LinkingTo: BH, bigmemory, Rcpp, RcppAnnoy
Suggests: bigmemory, knitr, litedown, testthat (>= 3.0.0)
VignetteBuilder: litedown
Encoding: UTF-8
NeedsCompilation: yes
URL: https://fbertran.github.io/bigANNOY/, https://github.com/fbertran/bigANNOY
BugReports: https://github.com/fbertran/bigANNOY/issues
Packaged: 2026-03-27 20:39:35 UTC; bertran7
Repository: CRAN
Date/Publication: 2026-04-01 08:00:33 UTC

More information about bigANNOY at CRAN
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Tue, 31 Mar 2026

New package RDesk with initial version 1.0.4
Package: RDesk
Title: Native Desktop App Framework for 'R'
Version: 1.0.4
Description: Build native Windows desktop applications using 'R' and 'WebView2'. Provides a robust 'R6'-based event loop, asynchronous background task management via 'mirai' and 'callr', and a native 'Win32' message bridge for seamless 'R'-to-user-interface communication without listening ports or network overhead. Allows 'R' developers to create professional, standalone desktop tools with modern web-based user interfaces while maintaining a pure 'R' backend.
OS_type: windows
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/Janakiraman-311/RDesk, https://janakiraman-311.github.io/RDesk/
BugReports: https://github.com/Janakiraman-311/RDesk/issues
SystemRequirements: Windows 10 or later, 'Rtools44' or later (https://cran.r-project.org/bin/windows/Rtools/), Microsoft 'WebView2' Runtime (https://developer.microsoft.com/microsoft-edge/webview2/)
Imports: R6, jsonlite, digest, processx, callr, mirai (>= 1.0.0), base64enc, zip, stats, utils, parallel
Suggests: testthat (>= 3.0.0), withr, fs, knitr, rmarkdown, devtools, renv, broom, ggplot2, dplyr, rstudioapi, pkgdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-03-27 16:55:56 UTC; Janak
Author: Janakiraman G [aut, cre] , Serge Zaitsev [cph] ), Niels Lohmann [cph] ), Microsoft Corporation [cph] )
Maintainer: Janakiraman G <janakiraman.bt@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-31 15:50:02 UTC

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New package mmbcv with initial version 0.3.0
Package: mmbcv
Title: Multistate Model Bias-Corrected Robust Variance
Version: 0.3.0
Description: Computes robust and bias-corrected sandwich variance estimators for multi-state Cox models with clustered time-to-event data. The methodology extends the marginal Cox model bias-correction framework of Wang et al. (2023) <doi:10.1002/bimj.202200113> to the multi-state setting.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, survival, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-27 15:05:57 UTC; cmeng
Author: Can Meng [aut, cre], Denise Esserman [aut], Fan Li [aut], Erich Greene [aut]
Maintainer: Can Meng <can.meng@yale.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-03-31 15:30:02 UTC

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New package forrest with initial version 0.3.0
Package: forrest
Title: Publication-Ready Forest Plots
Version: 0.3.0
Description: Creates publication-ready forest plots from any tabular data containing point estimates and confidence intervals. Suitable for visualising results from regression models, meta-analyses, subgroup analyses, or any comparative study. Supports group and subgroup headings, summary estimates displayed as diamonds, grouped estimates with automatic colour and shape mapping, vertical dodging of multiple estimates within the same row, customisable text columns alongside the plot, and optional row striping. Provides a helper to export plots to PDF, PNG, SVG, or TIFF. Built on 'tinyplot' for clean, consistent visual styling with a minimal dependency footprint.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: tinyplot (>= 0.2.0)
Suggests: broom, covr, data.table, knitr, marginaleffects, MatchIt, quarto, rmarkdown, tibble, testthat (>= 3.0.0)
VignetteBuilder: quarto, knitr
URL: https://lorenzofabbri.github.io/forrest/, https://github.com/lorenzoFabbri/forrest
BugReports: https://github.com/lorenzoFabbri/forrest/issues
NeedsCompilation: no
Packaged: 2026-03-27 11:47:54 UTC; lorenzo
Author: Lorenzo Fabbri [aut, cre, cph]
Maintainer: Lorenzo Fabbri <lorenzo.fabbri92sm@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-31 15:10:02 UTC

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New package debtkit with initial version 0.1.2
Package: debtkit
Title: Debt Sustainability Analysis and Fiscal Risk Assessment
Version: 0.1.2
Description: Analyses government debt sustainability using the standard debt dynamics framework from Blanchard (1990) <doi:10.1787/budget-v2-art12-en> and the IMF Debt Sustainability Analysis methodology (IMF, 2013) and the Sovereign Risk and Debt Sustainability Framework (IMF, 2022). Projects debt-to-GDP paths, decomposes historical debt changes into interest, growth, and primary balance contributions, and estimates fiscal reaction functions following Bohn (1998) <doi:10.1162/003355398555793>. Produces stochastic fan charts via Monte Carlo simulation, standardised stress tests, and IMF- style heat map risk assessments. Computes S1/S2 sustainability gap indicators used by the European Commission. All methods are pure computation with no external dependencies beyond base R; works with fiscal data from any source.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: cli (>= 3.6.0), grDevices, graphics, stats
Suggests: testthat (>= 3.0.0)
URL: https://github.com/charlescoverdale/debtkit
BugReports: https://github.com/charlescoverdale/debtkit/issues
NeedsCompilation: no
Packaged: 2026-03-27 10:39:31 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-31 15:10:08 UTC

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New package pams with initial version 0.1.0
Package: pams
Title: Profile Analysis via Multidimensional Scaling
Version: 0.1.0
Date: 2026-03-22
Description: Implements Profile Analysis via Multidimensional Scaling (PAMS) for the identification of population-level core response profiles from cross-sectional and longitudinal person-score data. Each person profile is decomposed into a level component (the person mean) and a pattern component (ipsatized subscores). PAMS uses nonmetric multidimensional scaling via the SMACOF algorithm to identify a small number of core profiles that represent the central response patterns in a sample of any size. Bootstrap standard errors and bias-corrected and accelerated (BCa) confidence intervals for individual core profile coordinates are estimated, enabling significance testing of coordinates that is not available in other profile analysis methods such as cluster profile analysis or latent profile analysis. Person-level weights, R-squared values, and correlations with core profiles are also estimated, allowing individual profiles to be interpreted in terms of the core profile structure. PAMS can be applied [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/sekangakim/pams
BugReports: https://github.com/sekangakim/pams/issues
Depends: R (>= 4.0.0)
Imports: smacof (>= 2.1.0)
Suggests: lmtest (>= 0.9.40), testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-27 03:48:18 UTC; sekangkim
Author: Se-Kang Kim [aut, cre] , Donghoh Kim [aut]
Maintainer: Se-Kang Kim <Se-Kang.Kim@bcm.edu>
Repository: CRAN
Date/Publication: 2026-03-31 15:00:02 UTC

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New package aisdk with initial version 1.1.0
Package: aisdk
Title: Unified Interface for AI Model Providers
Version: 1.1.0
Description: A production-grade AI toolkit for R featuring a layered architecture (Specification, Utilities, Providers, Core), request interception support, robust error handling with exponential retry delays, support for multiple AI model providers ('OpenAI', 'Anthropic', etc.), local small language model inference, distributed 'MCP' ecosystem, multi-agent orchestration, progressive knowledge loading through skills, and a global skill store for sharing AI capabilities.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: R6, httr2, jsonlite, rlang, yaml, callr, processx, memoise, digest, parallel, stats, tools, utils, base64enc, curl, openssl
Suggests: testthat (>= 3.0.0), httptest2, cli, knitr, rmarkdown, skimr, evaluate, shiny, shinyjs, bslib, commonmark, ggplot2, dplyr, readr, readxl, DBI, RSQLite, torch, onnx, rstudioapi, DT, withr, httpuv, devtools, fs, dotenv, quarto, pdftools
URL: https://github.com/YuLab-SMU/aisdk, https://yulab-smu.top/aisdk/
BugReports: https://github.com/YuLab-SMU/aisdk/issues
NeedsCompilation: no
Packaged: 2026-03-27 00:48:33 UTC; xiayh
Author: Yonghe Xia [aut, cre]
Maintainer: Yonghe Xia <xiayh17@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-03-31 15:00:07 UTC

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New package agriReg with initial version 0.1.0
Package: agriReg
Title: Linear and Nonlinear Regression for Agricultural Data
Version: 0.1.0
Description: Fit, compare, and visualise linear and nonlinear regression models tailored to field-trial and dose-response agricultural data. Provides S3 classes for mixed-effects models (via 'lme4'), nonlinear growth curves (logistic, 'Gompertz', asymptotic, linear-plateau, quadratic), and four/five-parameter log-logistic dose-response models (via 'drc'). Includes automated starting-value heuristics, goodness-of-fit statistics, residual diagnostics, and 'ggplot2'-based visualisation. Methods are based on Bates and Watts (1988, ISBN:9780471816430), Ritz and others (2015) <doi:10.1371/journal.pone.0146021>, and Bates and others (2015) <doi:10.18637/jss.v067.i01>.
Depends: R (>= 4.1.0)
Imports: lme4 (>= 1.1-35), drc (>= 3.0-1), ggplot2 (>= 3.4.0), patchwork (>= 1.1.0), stats, utils
Suggests: broom (>= 1.0.0), broom.mixed (>= 0.2.9), emmeans (>= 1.8.0), nlme (>= 3.1-0), methods, testthat (>= 3.0.0), knitr, rmarkdown, lmerTest, car, multcomp
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-27 06:10:56 UTC; acer
Author: Sadikul Islam [aut, cre]
Maintainer: Sadikul Islam <sadikul.islamiasri@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-31 15:00:23 UTC

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New package RFIF with initial version 1.0
Package: RFIF
Title: Fast Iterative Filtering (FIF) with Portable FFT Backend
Version: 1.0
Description: Provides an R interface to a C implementation of Fast Iterative Filtering (FIF) for decomposing a univariate signal into intrinsic mode functions (IMFs) and a residual. The package uses Fast Fourier Transform library FFTW, if found. If not, it provides instructions to install it for your OS. This is recommended, as R's internal fft(), while avoiding external FFT dependencies, is two orders of magnitude slower.
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://github.com/ChuckColeman/RFIF
BugReports: https://github.com/ChuckColeman/RFIF/issues
NeedsCompilation: yes
Packaged: 2026-03-26 21:19:01 UTC; Common
Author: Chuck Coleman [aut, cre]
Maintainer: Chuck Coleman <cdcoleman113@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-31 10:10:11 UTC

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New package tynding with initial version 0.1.2
Package: tynding
Title: 'Typst' Bindings
Version: 0.1.2
Description: Provides bindings to the 'Typst' typesetting system, enabling users to compile 'Typst' documents directly from R. The package interfaces with the 'Typst' 'Rust' library to render documents, making it possible to integrate 'Typst'-based workflows into R scripts, reports, and reproducible research pipelines. It supports programmatic document generation, compilation, and output handling, facilitating seamless use of 'Typst' alongside tools such as knitr and Quarto.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/y-sunflower/tynding
BugReports: https://github.com/y-sunflower/tynding/issues
Depends: R (>= 4.2)
Suggests: testthat (>= 3.0.0)
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.89.0, xz
Imports: jsonlite
NeedsCompilation: yes
Packaged: 2026-03-26 13:18:55 UTC; josephbarbier
Author: Joseph Barbier [aut, cre]
Maintainer: Joseph Barbier <joseph@ysunflower.com>
Repository: CRAN
Date/Publication: 2026-03-31 09:40:02 UTC

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New package SPACO with initial version 1.0.0
Package: SPACO
Title: Spatial Component Analysis for Spatial Sequencing Data
Version: 1.0.0
Description: Spatial components offer tools for dimension reduction and spatially variable gene detection for high dimensional spatial transcriptomics data. Construction of a projection onto low-dimensional feature space of spatially dependent metagenes offers pre-processing to clustering, testing for spatial variability and denoising of spatial expression patterns. For more details, see Koehler et al. (2026) <doi:10.1093/bioinformatics/btag052>.
Encoding: UTF-8
LinkingTo: Rcpp, RcppEigen
Depends: R (>= 4.2.3)
Imports: ggplot2, Seurat (>= 5.3.0), tibble, ggforce, methods, rARPACK, tidyr, mgcv, scales, Matrix (>= 1.5)
License: MIT + file LICENSE
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-03-26 15:46:00 UTC; koehler
Author: David Koehler [aut, cre]
Maintainer: David Koehler <koehler@imbie.uni-bonn.de>
Repository: CRAN
Date/Publication: 2026-03-31 10:00:14 UTC

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New package sicher with initial version 0.1.0
Package: sicher
Title: Runtime Type Checking
Version: 0.1.0
Description: Provides a lightweight runtime type system for 'R' that enables developers to declare and enforce variable types during execution. Inspired by 'TypeScript', the package introduces intuitive syntax for annotating variables and validating data structures, helping catch type-related errors early and making 'R' code more robust and easier to maintain.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/feddelegrand7/sicher
BugReports: https://github.com/feddelegrand7/sicher/issues
Imports: glue (>= 1.8.0)
Suggests: testthat
NeedsCompilation: no
Packaged: 2026-03-26 16:55:40 UTC; mohamedelfodilihaddaden
Author: Mohamed El Fodil Ihaddaden [aut, cre]
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-31 10:00:02 UTC

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New package MFSD with initial version 0.1.0
Package: MFSD
Title: Multivariate Functional Spatial Data
Version: 0.1.0
Description: Analysis of multivariate functional spatial data, including spectral multivariate functional principal component analysis and related statistical procedures (Si-Ahmed, Idris, et al. "Principal component analysis of multivariate spatial functional data." Big Data Research 39 (2025) 100504). (Kuenzer, T., Hörmann, S., & Kokoszka, P. (2021). "Principal component analysis of spatially indexed functions." Journal of the American Statistical Association, 116(535), 1444-1456.) (Happ, C., & Greven, S. (2018). "Multivariate functional principal component analysis for data observed on different (dimensional) domains." Journal of the American Statistical Association, 113(522), 649-659.)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: fda, graphics, mvtnorm, Rcpp (>= 1.0.0)
Suggests: testthat (>= 3.0.0)
Depends: R (>= 2.10)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2026-03-26 16:39:38 UTC; User
Author: SI-AHMED IDRIS [aut, cre], T. Kuenzer [ctb]
Maintainer: SI-AHMED IDRIS <i_siahmed@esi.dz>
Repository: CRAN
Date/Publication: 2026-03-31 10:00:18 UTC

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New package discretes with initial version 0.1.0
Package: discretes
Title: Discrete Numeric Series
Version: 0.1.0
Description: Provides a framework for representing discrete numeric series (enumerable sets of numbers) that may be finite or infinite. Series can be traversed, combined using arithmetic operations, tested for membership, and queried for limit points ("sinks"), without explicit enumeration of all elements.
License: MIT + file LICENSE
Imports: checkmate, ellipsis, graphics, rlang
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://discretes.netlify.app, https://github.com/vincenzocoia/discretes
BugReports: https://github.com/vincenzocoia/discretes/issues
NeedsCompilation: no
Packaged: 2026-03-26 21:10:00 UTC; VCoia
Author: Vincenzo Coia [aut, cre, cph]
Maintainer: Vincenzo Coia <vincenzo.coia@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-31 10:00:08 UTC

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New package CompositionalNAimp with initial version 1.0
Package: CompositionalNAimp
Title: Missing Value Imputation with Compositional Data
Version: 1.0
Date: 2026-03-26
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Compositional, graphics, Rfast, Rnanoflann
Suggests: Rfast2
Description: Functions to perform missing value imputation with compositional data using the Jensen-Shannon divergence based k--NN and a--k--NN algorithms. The functions are based on the following paper: Tsagris M., Alenazi A. and Stewart C. (2026). "A Jensen--Shannon divergence based k--NN algorithm for missing value imputation in compositional data". Journal of Applied Statistics (Accepted for publication).
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-03-26 15:15:04 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-03-31 09:50:09 UTC

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New package causaldef with initial version 0.2.0
Package: causaldef
Title: Decision-Theoretic Causal Diagnostics via Le Cam Deficiency
Version: 0.2.0
Author: Deniz Akdemir [aut, cre]
Maintainer: Deniz Akdemir <deniz.akdemir.work@gmail.com>
Description: Implements Le Cam deficiency theory for causal inference, as described in Akdemir (2026) <doi:10.5281/zenodo.18367347>. Provides theorem-backed bounds together with computable proxy diagnostics for information loss from confounding, selection bias, and distributional shift. Supports continuous, binary, count, survival, and competing risks outcomes. Key features include propensity-score total-variation deficiency proxies, negative control diagnostics, policy regret bounds, and sensitivity analysis via confounding frontiers.
License: MIT + file LICENSE
URL: https://github.com/denizakdemir/causaldef
BugReports: https://github.com/denizakdemir/causaldef/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Imports: checkmate, cli, ggplot2, stats, graphics
Suggests: survival, MatchIt, tmle, SuperLearner, grf, future.apply, glue, shiny, plumber, jsonlite, cmprsk, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-26 13:30:39 UTC; deniz
Repository: CRAN
Date/Publication: 2026-03-31 09:50:02 UTC

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New package BayesVolcano with initial version 1.0.1
Package: BayesVolcano
Title: Creating Volcano Plots from Bayesian Model Posteriors
Version: 1.0.1
URL: https://github.com/KatjaDanielzik/BayesVolcano
BugReports: https://github.com/KatjaDanielzik/BayesVolcano/issues
Description: Bayesian models are used to estimate effect sizes (e.g., gene expression changes, protein abundance differences, drug response effects) while accounting for uncertainty, small sample sizes, and complex experimental designs. However, Bayesian posteriors of models with many parameters are often difficult to interpret at a glance. One way to quickly identify important biological changes based on frequentist analysis are volcano plots (using fold-changes and p-values). Bayesian volcano plots bring together the explicit treatment of uncertainty in Bayesian models and the familiar visualization of volcano plots.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.5)
Imports: ggplot2, HDInterval, purrr, dplyr, magrittr, tidyr
Suggests: brms, rstan, knitr, rmarkdown, testthat (>= 3.0.0)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-26 14:08:41 UTC; katja
Author: Katja Danielzik [aut, cre, cph] , Simo Kitanovski [aut, ctb] , Daniel Hoffmann [aut]
Maintainer: Katja Danielzik <katja.danielzik@uni-due.de>
Repository: CRAN
Date/Publication: 2026-03-31 09:50:15 UTC

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Mon, 30 Mar 2026

New package TwoDiRef with initial version 0.1.0
Package: TwoDiRef
Title: Robust Estimation of Conditional 2D Reference Regions
Description: Provides tools for constructing conditional two-dimensional reference regions in continuous data, particularly suited for clinical, biological, or epidemiological studies requiring robust multivariate assessment. The implemented methodology combines directional quantiles with median‑based partial correlation models to produce reliable and interpretable reference regions even in the presence of outliers. Key features include robust conditional modeling for two responses conditioned on covariates, directional quantile regions, cross‑validation of coverage, visualization tools, and flexible formula‑based inputs.
Version: 0.1.0
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: qgam, mgcv, sp, ggplot2, scales, shiny
Suggests: refreg
NeedsCompilation: no
Packaged: 2026-03-26 10:21:28 UTC; oscarladobaleato
Author: Oscar Lado-Baleato [aut, cre], Sara Rodriguez-Pastoriza [aut], Javier Roca-Pardinas [aut]
Maintainer: Oscar Lado-Baleato <ladooscar@uniovi.es>
Repository: CRAN
Date/Publication: 2026-03-30 18:40:03 UTC

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New package ParCC with initial version 1.4.0
Package: ParCC
Title: Parameter Converter and Calculator for Health Technology Assessment
Version: 1.4.0
Description: An interactive 'shiny' application for Health Technology Assessment (HTA) parameter estimation. Converts between rates, probabilities, odds, and hazard ratios (HR); extrapolates survival curves (Exponential, Weibull, Log-Logistic); fits probabilistic sensitivity analysis (PSA) distributions (Beta, Gamma, LogNormal, Dirichlet) via the method of moments; calculates incremental cost-effectiveness ratios (ICERs), net monetary benefit (NMB), value-based pricing, and budget impact; adjusts costs for inflation, discounting, and purchasing power parity (PPP) across 30 countries; and adjusts background mortality using life-table methods. Designed for researchers building cost-effectiveness and budget-impact models who need auditable, formula-documented parameter transformations. Methods include Zhang and Yu (1998) <doi:10.1001/jama.280.19.1690> for odds ratio (OR) to relative risk (RR) conversion and Chinn (2000, Statistics in Medicine, 19, 3127-3131) for effect-size transformations.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: shiny, shinythemes, ggplot2, plotly, DT, rmarkdown, magrittr
URL: https://drpakhare.github.io/ParCC/, https://github.com/drpakhare/ParCC
BugReports: https://github.com/drpakhare/ParCC/issues
VignetteBuilder: knitr
Suggests: knitr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-26 07:24:24 UTC; drpakhare
Author: Abhijit Pakhare [aut, cre], RRC-HTA Team, AIIMS Bhopal [aut]
Maintainer: Abhijit Pakhare <drpakhare@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-30 18:30:07 UTC

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New package misl with initial version 1.0.0
Package: misl
Title: Multiple Imputation by Super Learning
Version: 1.0.0
Description: Performs multiple imputation of missing data using an ensemble super learner built with the tidymodels framework. For each incomplete column, a stacked ensemble of candidate learners is trained on a bootstrap sample of the observed data and used to generate imputations via predictive mean matching (continuous), probability draws (binary), or cumulative probability draws (categorical). Supports parallelism across imputed datasets via the future framework.
License: MIT + file LICENSE
URL: https://github.com/JustinManjourides/misl
BugReports: https://github.com/JustinManjourides/misl/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.1.0), future.apply (>= 1.11.0), parsnip (>= 1.2.0), recipes (>= 1.0.0), rsample (>= 1.2.0), stacks (>= 1.0.0), stats, tibble (>= 3.2.0), tidyr (>= 1.3.0), tune (>= 1.2.0), utils, workflows (>= 1.1.0)
Suggests: earth (>= 5.3.0), future (>= 1.33.0), knitr, ranger (>= 0.16.0), rmarkdown, testthat (>= 3.0.0), xgboost (>= 1.7.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-26 02:34:01 UTC; j.manjourides
Author: Justin Manjourides [aut, cre]
Maintainer: Justin Manjourides <j.manjourides@northeastern.edu>
Repository: CRAN
Date/Publication: 2026-03-30 18:10:02 UTC

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New package mfrmr with initial version 0.1.4
Package: mfrmr
Title: Estimation and Diagnostics for Many-Facet Measurement Models
Version: 0.1.4
Description: Fits many-facet measurement models and returns diagnostics, reporting helpers, and reproducible analysis bundles using a native R implementation. Supports arbitrary facet counts, rating-scale and partial-credit parameterizations ('Andrich' (1978) <doi:10.1007/BF02293814>; 'Masters' (1982) <doi:10.1007/BF02296272>), marginal maximum likelihood estimation via the EM algorithm ('Bock' and 'Aitkin' (1981) <doi:10.1007/BF02293801>) and joint maximum likelihood estimation, plus tools for anchor review, interaction screening, linking workflows, and publication-ready summaries.
URL: https://ryuya-dot-com.github.io/R_package_mfrmr/, https://github.com/Ryuya-dot-com/R_package_mfrmr
BugReports: https://github.com/Ryuya-dot-com/R_package_mfrmr/issues
License: MIT + file LICENSE
Language: en
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: dplyr, tidyr, tibble, purrr, stringr, psych, lifecycle, rlang, stats, utils
Suggests: testthat (>= 3.0.0), covr, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-26 12:40:49 UTC; Kyomuron
Author: Ryuya Komuro [aut, cre]
Maintainer: Ryuya Komuro <ryuya.komuro.c4@tohoku.ac.jp>
Repository: CRAN
Date/Publication: 2026-03-30 19:20:02 UTC

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New package jsdtools with initial version 0.1.0
Package: jsdtools
Title: Jensen-Shannon Divergence Estimation, Confidence Intervals, and Distribution Plots
Version: 0.1.0
Description: Estimates Jensen-Shannon divergence (JSD) for quantifying distributional differences between two groups on a given variable. Supports both continuous and discrete variables, with tools for point estimation, bootstrap confidence intervals, and visualization of raw group-specific distributions.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: graphics, grDevices, stats
Suggests: survival, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-26 08:58:52 UTC; lwj
Author: Yueqin Hu [aut, cre], Yiran Zhou [aut], Wenjuan Liu [aut]
Maintainer: Yueqin Hu <yueqinhu@bnu.edu.cn>
Repository: CRAN
Date/Publication: 2026-03-30 18:30:02 UTC

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New package InsectLabelR with initial version 1.0.4
Package: InsectLabelR
Title: Create Labels for Insect in Collection
Version: 1.0.4
Description: Streamlines the creation of high-quality labels for insect pinning. By taking a dataset as input, the package allow to generate printable labels in 'LaTeX' and PDF format, helping researchers and entomologists maintain accurate and standardized specimen records. Requires a compatible installation of 'pdflatex' (e.g. <https://www.tug.org/texlive/>). For enhanced accessibility, the package includes a user-friendly 'shiny' application (accessible online <https://nicolas-moiroux.shinyapps.io/InsectLabelR/>), which provides a graphical interface for generating labels without requiring programming expertise.
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, stringr, magrittr, shiny, tools
Suggests: testthat (>= 3.0.0), shinyjs, readxl, readr, readODS, DT, editbl (>= 1.1.0)
Depends: R (>= 4.0)
LazyData: true
SystemRequirements: pdflatex
NeedsCompilation: no
Packaged: 2026-03-26 09:14:19 UTC; nm
Author: Nicolas Moiroux [aut, cre] , Nil Rahola [aut]
Maintainer: Nicolas Moiroux <nicolas.moiroux@ird.fr>
Repository: CRAN
Date/Publication: 2026-03-30 19:00:02 UTC

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New package hexsession with initial version 0.1.0
Package: hexsession
Title: Create a Tile of Logos for Loaded Packages
Version: 0.1.0
Description: Creates a responsive HTML file with tiled hexagonal logos for packages in an R session. Tiles can be also be generated for a custom set of packages specified with a character vector. Output can be saved as a static screenshot in PNG format using a headless browser.
License: MIT + file LICENSE
Suggests: knitr, rmarkdown, rsvg, testthat (>= 3.0.0), withr
Encoding: UTF-8
URL: https://github.com/luisDVA/hexsession, https://hexsession.liomys.mx/
BugReports: https://github.com/luisDVA/hexsession/issues
Depends: R (>= 4.1.0)
Imports: base64enc, chromote, jsonlite, magick, purrr, htmltools,
NeedsCompilation: no
Packaged: 2026-03-26 02:50:27 UTC; luisd
Author: Luis D. Verde Arregoitia [aut, cre, cph]
Maintainer: Luis D. Verde Arregoitia <luis@liomys.mx>
Repository: CRAN
Date/Publication: 2026-03-30 18:10:07 UTC

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New package climatehealth with initial version 1.0.0
Package: climatehealth
Title: Statistical Tools for Modelling Climate-Health Impacts
Version: 1.0.0
Date: 2026-03-26
Description: Tools for producing climate-health indicators and supporting official statistics from health and climate data. Implements analytical workflows for temperature-related mortality, wildfire smoke exposure, air pollution, suicides related to extreme heat, malaria, and diarrhoeal disease outcomes, with utilities for descriptive statistics, model validation, attributable fraction and attributable number estimation, relative risk estimation, minimum mortality temperature estimation, and plotting for reporting. These six indicators are endorsed by the United Nations Statistical Commission for inclusion in the Global Set of Environment and Climate Change Statistics. Implemented methods include distributed lag non-linear models (DLNM), quasi-Poisson time-series regression, case-crossover analysis, Bayesian spatio-temporal models using the Integrated Nested Laplace Approximation ('INLA'), and multivariate meta-analysis for sub-national estimates. The package is based on methods developed in the S [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: car, data.table, dlnm, dplyr, Epi, forcats, exactextractr, ggplot2, ggtext, gnm, graphics, grDevices, gplots, lifecycle, lme4, lubridate, metafor, mgcv, mixmeta, ncdf4, patchwork, pkgbuild, purrr, raster, RColorBrewer, readr, readxl, reshape2, rlang, scales, sf, spdep, splines, stats, stringr, tibble, tidyr, tools, tseries, tsModel (>= 0.6-2), utils, xfun, zoo
VignetteBuilder: knitr
Suggests: covr, knitr, rmarkdown, devtools, DT, htmltools, INLA, mockery, mvmeta, openxlsx, patrick, pkgload, stringdist, terra, testthat (>= 3.2.1.1), withr
URL: https://climate-health.officialstatistics.org
Additional_repositories: https://inla.r-inla-download.org/R/stable/
Depends: R (>= 4.4.0)
NeedsCompilation: no
Packaged: 2026-03-26 10:24:16 UTC; omekek
Author: Charlie Browning [aut], Kenechi Omeke [aut, cre], Etse Yawo Dzakpa [aut], Gladin Jose [aut], Matt Pearce [aut], Ellie Watkins [aut], Claire Hunt [aut], Beatrice Byukusenge [aut], Cassien Habyarimana [aut], Venuste Nyagahakwa [aut], Felix Scarbrough [ [...truncated...]
Maintainer: Kenechi Omeke <climate.health@ons.gov.uk>
Repository: CRAN
Date/Publication: 2026-03-30 18:50:02 UTC

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New package a11yShiny with initial version 0.1.3
Package: a11yShiny
Title: Accessibility Enhancements to Popular R Shiny Functions
Version: 0.1.3
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).
License: EUPL-1.2
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: shiny (>= 1.9.0), htmltools (>= 0.5.0), DT, ggplot2, rlang
Suggests: devtools, covr, knitr, rmarkdown, bslib (>= 0.5.0), testthat (>= 3.0.0)
URL: https://gitlab.opencode.de/bmbf/datenlabor/barrierefrei-r
BugReports: https://gitlab.opencode.de/bmbf/datenlabor/barrierefrei-r/-/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-26 11:14:20 UTC; root
Author: Jan Liebnitzky [aut, cre]
Maintainer: Jan Liebnitzky <datenlabor@bmftr.bund.de>
Repository: CRAN
Date/Publication: 2026-03-30 19:20:17 UTC

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New package ReproStat with initial version 0.1.2
Package: ReproStat
Title: Reproducibility Diagnostics for Statistical Modeling
Version: 0.1.2
Date: 2026-03-25
Description: Tools for diagnosing the reproducibility of statistical model outputs under data perturbations. Implements bootstrap, subsampling, and noise-based perturbation schemes and computes coefficient stability, p-value stability, selection stability, prediction stability, and a composite reproducibility index on a 0 to 100 scale. Includes cross-validation ranking stability for model comparison and visualization utilities. Optional 'backends' support robust M-estimation ('MASS') and penalized regression ('glmnet'). Bootstrap perturbation follows 'Efron' and 'Tibshirani' (1993, ISBN:9780412042317); selection stability follows 'Meinshausen' and 'Buhlmann' (2010) <doi:10.1111/j.1467-9868.2010.00740.x>; reproducibility framework follows 'Peng' (2011) <doi:10.1126/science.1213847>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, MASS (>= 7.3), glmnet (>= 4.0), ggplot2 (>= 3.0)
VignetteBuilder: knitr
URL: https://ntigideon.github.io/ReproStat/, https://github.com/ntiGideon/ReproStat
BugReports: https://github.com/ntiGideon/ReproStat/issues
NeedsCompilation: no
Packaged: 2026-03-25 15:37:22 UTC; GideonNtiBoateng
Author: Gideon Nti Boateng [aut, cre]
Maintainer: Gideon Nti Boateng <gidiboateng200@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-30 17:10:02 UTC

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New package PQA with initial version 1.0.0
Package: PQA
Title: Perform the Pearson-Quetelet Analysis on Two-Way Contingency Tables
Version: 1.0.0
Description: Tools to perform Pearson-Quetelet analysis on two-way contingency tables. The package computes absolute and relative frequencies, Quetelet indices, Pearson-Quetelet decomposition, apex tables, and chi-square summaries for interpreting associations between categorical variables.
License: LGPL-3
LazyData: true
Encoding: UTF-8
Depends: R (>= 3.5)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-25 17:20:37 UTC; lcorag
Author: Boris Mirkin [aut], Luca Coraggio [aut, cre], Trevor Fenner [aut], Zina Taran [aut]
Maintainer: Luca Coraggio <luca.coraggio@unina.it>
Repository: CRAN
Date/Publication: 2026-03-30 17:10:08 UTC

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New package metaLong with initial version 0.1.0
Package: metaLong
Title: Longitudinal Meta-Analysis with Robust Variance Estimation and Sensitivity Analysis
Version: 0.1.0
Description: Tools for longitudinal meta-analysis where studies contribute effect sizes at multiple follow-up time points. Implements robust variance estimation (RVE) with Tipton small-sample corrections following Hedges, Tipton, and Johnson (2010) <doi:10.1002/jrsm.5> and Tipton (2015) <doi:10.1037/met0000011>, time-varying sensitivity analysis via the Impact Threshold for a Confounding Variable (ITCV) following Frank (2000) <doi:10.1177/0049124100029002003>, benchmark calibration of the ITCV threshold against observed study-level covariates, spline-based nonlinear time-trend modeling with a nonlinearity test, and leave-k-out fragility analysis across the follow-up trajectory. Designed for researchers synthesising evidence from studies with repeated outcome measurement in education, psychology, health, and the social sciences.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: metafor (>= 3.8-1), splines, stats, utils
Suggests: clubSandwich (>= 0.5.10), testthat (>= 3.0.0), knitr, rmarkdown, ggplot2, dplyr
VignetteBuilder: knitr
URL: https://github.com/causalfragility-lab/metaLong
BugReports: https://github.com/causalfragility-lab/metaLong/issues
NeedsCompilation: no
Packaged: 2026-03-25 21:49:15 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-03-30 17:30:02 UTC

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New package ggrefine with initial version 0.1.0
Package: ggrefine
Title: Pretty 'ggplot2' Themes
Version: 0.1.0
Description: A set of complete 'ggplot2' themes and functions to refine these.
License: MIT + file LICENSE
URL: https://github.com/davidhodge931/ggrefine, https://davidhodge931.github.io/ggrefine/
BugReports: https://github.com/davidhodge931/ggrefine/issues
Depends: R (>= 4.1.0)
Imports: blends, flexoki, ggplot2, grid, jumble, rlang, scales, viridis
Suggests: patchwork
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2026-03-25 22:35:45 UTC; david
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-30 18:00:02 UTC

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New package MultiscaleSCP with initial version 0.1.1
Package: MultiscaleSCP
Title: Multiscale Systematic Conservation Planning Across Nested H3 Grids
Version: 0.1.1
Maintainer: Pablo Merlo <pablo.merlo@universityofgalway.ie>
Description: Provides tools for multiscale systematic conservation planning using the H3 hierarchical hexagonal grid system (Uber Technologies (2024) <https://h3geo.org>) and the 'prioritizr' package (Hanson et al. (2025) <doi:10.1111/cobi.14376>). Supports the definition and solution of conservation problems across nested H3 resolutions with resolution-specific features, costs, and management attributes, including cross-scale connectivity penalties derived from parent-child relationships. Also includes utilities to evaluate solutions using multiscale-aware diagnostics and to post-process optimization outputs into alternative area-targeted conservation scenarios.
Depends: R (>= 4.2)
Imports: sf, terra, raster, dplyr, tibble, Matrix, methods, prioritizr, exactextractr, stats, cli, R6, assertthat, h3jsr, rlang
Suggests: ggplot2, rnaturalearth, rnaturalearthdata, rmapshaper, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-25 14:35:29 UTC; merlo
Author: Pablo Merlo [aut, cre] , Oisin Callery [aut] , Carlos Tighe [ctb], Anthony Grehan [ctb]
Repository: CRAN
Date/Publication: 2026-03-30 17:00:02 UTC

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New package splinemixmeta with initial version 1.0.0
Package: splinemixmeta
Title: Additive Mixed Meta-Analysis with Spline Meta-Regression
Version: 1.0.0
Description: Fit additive mixed meta-analysis (AMMA) models, extending the 'mixmeta' package <https://cran.r-project.org/package=mixmeta> to allow for spline-based meta-regression. Functions combine features of 'mgcv' <https://cran.r-project.org/package=mgcv> for building spline components and 'mixmeta' for estimating general mixed-effects meta-analysis models.
License: GPL (>= 3)
Encoding: UTF-8
URL: <https://github.com/perrydv/splinemixmeta>
BugReports: https://github.com/perrydv/splinemixmeta/issues
Depends: R (>= 4.1)
Imports: ggplot2, mgcv, mixmeta
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-25 12:14:50 UTC; mbeck
Author: Perry de Valpine [aut] , Marcus Beck [aut, cre]
Maintainer: Marcus Beck <mbeck@tbep.org>
Repository: CRAN
Date/Publication: 2026-03-30 09:30:02 UTC

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New package sparseLM with initial version 0.5
Package: sparseLM
Title: Interface to the 'sparseLM' Levenberg-Marquardt Library
Version: 0.5
Description: Provides an R interface to the 'sparseLM' C library for large-scale nonlinear least squares problems with arbitrarily sparse Jacobians. The underlying solver implements a sparse variant of the Levenberg-Marquardt algorithm for minimizing sum-of-squares objective functions, supports user-supplied analytic Jacobians or finite-difference approximation, and is designed to exploit sparsity for improved memory use and performance. This package exposes the solver in R and uses sparse matrix classes and the 'CHOLMOD' sparse Cholesky factorization routines through the 'Matrix' package interface. Methods from the C library are described in Lourakis (2010) <doi:10.1007/978-3-642-15552-9_4>.
URL: https://github.com/smith-group/sparseLM, https://smith-group.github.io/sparseLM/
Depends: Matrix
Imports: methods
LinkingTo: Matrix
License: GPL-2
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-03-25 13:46:11 UTC; colin
Author: Colin Smith [aut, cre] , Manolis Lourakis [aut]
Maintainer: Colin Smith <colin.smith@wesleyan.edu>
Repository: CRAN
Date/Publication: 2026-03-30 09:30:08 UTC

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New package sd2R with initial version 0.1.7
Package: sd2R
Title: Stable Diffusion Image Generation
Version: 0.1.7
Description: Provides Stable Diffusion image generation in R using the 'ggmlR' tensor library. Supports text-to-image and image-to-image generation with multiple model versions (SD 1.x, SD 2.x, 'SDXL', Flux). Implements the full inference pipeline including CLIP text encoding, 'UNet' noise removal, and 'VAE' encoding/decoding. Unified sd_generate() entry point with automatic strategy selection (direct, tiled sampling, high-resolution fix) based on output resolution and available 'VRAM'. High-resolution generation (2K, 4K+) via tiled 'VAE' decoding, tiled diffusion sampling ('MultiDiffusion'), and classic two-pass refinement (text-to-image, then upscale with image-to-image). Multi-GPU parallel generation via sd_generate_multi_gpu(). Multi-GPU model parallelism via 'device_layout' in sd_ctx(): distribute diffusion, text encoders, and 'VAE' across separate 'Vulkan' devices. Built-in profiling (sd_profile_start(), sd_profile_summary()) for per-stage timing of text encoding, sampling, and 'VAE' decode. [...truncated...]
SystemRequirements: GNU make, curl or wget (for downloading vocabulary files during installation)
License: MIT + file LICENSE
URL: https://github.com/Zabis13/sd2R
BugReports: https://github.com/Zabis13/sd2R/issues
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: Rcpp (>= 1.0.0), ggmlR (>= 0.5.0)
LinkingTo: Rcpp, ggmlR
Suggests: testthat (>= 3.0.0), callr, png, plumber, base64enc, jsonlite
NeedsCompilation: yes
Packaged: 2026-03-25 12:50:40 UTC; yuri
Author: Yuri Baramykov [aut, cre], Georgi Gerganov [ctb, cph] , leejet [ctb, cph] , stduhpf [ctb] , Green-Sky [ctb] , wbruna [ctb] , akleine [ctb] , Martin Raiber [cph] , Rich Geldreich [cph] , RAD Game Tools [cph] , Valve Software [cph] , Alex Evans [cph] , [...truncated...]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>
Repository: CRAN
Date/Publication: 2026-03-30 09:30:13 UTC

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New package ply with initial version 0.1.0
Package: ply
Title: Bitboard Chess Engine
Version: 0.1.0
Author: Qusai Jouda [aut, cre]
Maintainer: Qusai Jouda <jouda.qusai@gmail.com>
Description: A fully legal chess move generator and game engine implemented in C++17 via 'Rcpp'. Provides FEN (Forsyth-Edwards Notation) parsing, PGN (Portable Game Notation) replay, position feature enrichment, and a multi-game registry backed by a bitboard representation.
License: MIT + file LICENSE
Imports: Rcpp (>= 1.0.0)
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-03-24 23:30:18 UTC; qusai
Repository: CRAN
Date/Publication: 2026-03-30 09:20:02 UTC

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New package PLUCR with initial version 0.1.0
Package: PLUCR
Title: Policy Learning Under Constraint
Version: 0.1.0
Description: Estimating treatment probabilities that maximize a primary clinical outcome while controlling for the occurrence of adverse events. The 'PLUCR' package implements methods for constrained policy learning.
License: AGPL-3
Encoding: UTF-8
Imports: dplyr, ggplot2, grf, gridExtra, magrittr, R.utils, scales, stats, SuperLearner, tibble, tidyr, tidyselect, glue
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-25 09:58:15 UTC; laurafuentesvicente
Author: Laura Fuentes [aut, cre]
Maintainer: Laura Fuentes <laura.fuentes-vicente@inria.fr>
Repository: CRAN
Date/Publication: 2026-03-30 09:10:02 UTC

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New package peppwR with initial version 0.1.0
Package: peppwR
Title: Power Analysis for Phosphopeptide Abundance Hypothesis Test
Version: 0.1.0
Author: Dan MacLean [aut, cre]
Maintainer: Dan MacLean <dan.maclean@tsl.ac.uk>
Description: Estimate best fit distributions and do power analysis for hypothesis tests on phosphopeptide abundance data.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://teammaclean.github.io/peppwR/, https://github.com/TeamMacLean/peppwR
BugReports: https://github.com/TeamMacLean/peppwR/issues
Depends: R (>= 4.1.0)
Imports: cowplot, dplyr, fitdistrplus, ggplot2, methods, purrr, RColorBrewer, scales, tibble, tidyr, univariateML
Suggests: bench, knitr, pkgdown, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-25 10:46:38 UTC; macleand
Repository: CRAN
Date/Publication: 2026-03-30 09:20:08 UTC

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New package focus with initial version 0.1.2
Package: focus
Title: Online Changepoint Detection in Univariate and Multivariate Data Streams
Version: 0.1.2
Date: 2026-03-25
Maintainer: Gaetano Romano <g.romano@lancaster.ac.uk>
Description: Provides high-performance online changepoint detection in univariate and multivariate data streams. Implements efficient 'C++' backends for the 'focus', 'md-focus' and 'np-focus' algorithms, with an 'R' interface for real-time monitoring and offline analysis. The package bundles code from 'Qhull' <http://www.qhull.org/>, by C. B. Barber and The Geometry Center. See 'inst/COPYRIGHTS' for details.
License: GPL (>= 3)
Imports: Rcpp (>= 1.1.0)
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-03-25 14:12:47 UTC; romano
Author: Gaetano Romano [aut, cre, trl], Kes Ward [aut], Yuntang Fan [aut], Guillem Rigaill [aut], Vincent Runge [aut], Paul Fearnhead [aut], Idris A. Eckley [aut], C. B. Barber [ctb, cph] , The Geometry Center [cph]
Repository: CRAN
Date/Publication: 2026-03-30 09:30:20 UTC

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New package confoundvis with initial version 0.1.0
Package: confoundvis
Title: Visualization Tools for Sensitivity Analysis of Unmeasured Confounding
Version: 0.1.0
Description: Provides visualization tools for sensitivity analysis to unmeasured confounding in observational studies. Includes contour-based sensitivity plots, robustness curves, and benchmark-oriented graphics that help researchers assess how strong omitted confounding would need to be to attenuate, invalidate, or reverse estimated effects. Supports regression-based sensitivity analysis frameworks, including impact threshold approaches (Frank, 2000, <doi:10.1177/0049124100029002001>), partial R-squared methods (Cinelli and Hazlett, 2020, <doi:10.1111/rssb.12348>), and E-value style metrics (VanderWeele and Ding, 2017, <doi:10.7326/M16-2607>). Emphasizes clear, interpretable, and publication-ready graphical summaries for transparent reporting of causal sensitivity analyses across the social, behavioral, health, and educational sciences.
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.4.0), rlang, graphics, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, gridExtra
VignetteBuilder: knitr
URL: https://github.com/causalfragility-lab/confoundvis
BugReports: https://github.com/causalfragility-lab/confoundvis/issues
NeedsCompilation: no
Packaged: 2026-03-25 13:24:31 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-03-30 09:30:26 UTC

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New package saber with initial version 0.2.0
Package: saber
Title: Code Analysis and Project Context for R
Version: 0.2.0
Description: Parses R source files into AST symbol indices, traces function callers across projects, discovers project dependency graphs, generates project briefings, and provides package introspection tools. Designed for AI coding agents that need structured code understanding.
License: Apache License (>= 2)
URL: https://github.com/cornball-ai/saber
BugReports: https://github.com/cornball-ai/saber/issues
Suggests: tinytest
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-25 08:09:53 UTC; troy
Author: Troy Hernandez [aut, cre]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-03-30 08:50:02 UTC

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New package perspectiveR with initial version 0.3.0
Package: perspectiveR
Title: Interactive Pivot Tables and Visualizations with 'Perspective'
Version: 0.3.0
Description: An 'htmlwidgets' binding for the 'FINOS Perspective' <https://perspective-dev.github.io/> library, a high-performance 'WebAssembly'-powered data visualization engine. Provides interactive pivot tables, cross-tabulations, and multiple chart types (bar, line, scatter, heatmap, and more) that run entirely in the browser. Supports self-service analytics with drag-and-drop column selection, group-by/split-by pivoting, filtering, sorting, aggregation, and computed expressions. Works in 'RStudio' Viewer, 'R Markdown', 'Quarto', and 'Shiny' with streaming data updates via proxy interface.
License: Apache License (>= 2)
URL: https://github.com/EydlinIlya/perspectiveR
BugReports: https://github.com/EydlinIlya/perspectiveR/issues
Encoding: UTF-8
Imports: htmlwidgets (>= 1.6.0), htmltools, jsonlite
Suggests: arrow, shiny (>= 1.1.0), testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-24 21:02:29 UTC; User
Author: Eli Eydlin [aut, cre]
Maintainer: Eli Eydlin <ilyabeydlin@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-30 09:00:03 UTC

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New package pc with initial version 0.1
Package: pc
Title: Pattern Causality Analysis
Version: 0.1
Description: Infer causation from observational data through pattern causality analysis (PC), with original algorithm for time series data from Stavroglou et al. (2020) <doi:10.1073/pnas.1918269117>, as well as methodological extensions for spatial cross-sectional data introduced by Zhang & Wang (2025) <doi:10.1080/13658816.2025.2581207>, together with a systematic description proposed in Runge et al. (2023) <doi:10.1038/s43017-023-00431-y>.
License: GPL-3
Encoding: UTF-8
URL: https://stscl.github.io/pc/, https://github.com/stscl/pc
BugReports: https://github.com/stscl/pc/issues
Depends: R (>= 4.1.0)
LinkingTo: Rcpp, RcppThread
Imports: methods, sdsfun, sf, terra
Suggests: Rcpp, RcppThread, readr, infoxtr, spEDM, tEDM
NeedsCompilation: yes
Packaged: 2026-03-25 06:36:47 UTC; dell
Author: Wenbo Lyu [aut, cre, cph]
Maintainer: Wenbo Lyu <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-30 08:50:08 UTC

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New package mnirs with initial version 0.6.0
Package: mnirs
Title: Muscle Near-Infrared Spectroscopy Processing and Analysis
Version: 0.6.0
Description: Read, process, and analyse data from muscle near-infrared spectroscopy (mNIRS) devices. Import raw data from .csv or .xls(x) files and return time-series data and metadata. Includes standardised methods for cleaning, filtering, and pre-processing mNIRS data for subsequent analysis. Also includes a custom plot theme and colour palette. Intended for mNIRS researchers and practitioners in exercise physiology, sports science, and clinical rehabilitation with minimal coding experience required.
License: MIT + file LICENSE
URL: https://jemarnold.github.io/mnirs/, https://github.com/jemarnold/mnirs
BugReports: https://github.com/jemarnold/mnirs/issues
Depends: R (>= 4.1)
Imports: cli, data.table, lifecycle, readxl, rlang, stats, tibble, tidyselect
Suggests: dplyr, ggplot2, knitr, patchwork, quarto, scales, signal, testthat (>= 3.0.0), zoo
VignetteBuilder: quarto
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-25 05:59:41 UTC; Jem
Author: Jem Arnold [aut, cre, cph]
Maintainer: Jem Arnold <jem.arnold@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-30 08:40:02 UTC

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New package jentre with initial version 0.1.0
Package: jentre
Title: Toolkit for the 'Entrez' API
Version: 0.1.0
Description: Interact with the 'Entrez' API hosted by the National Center for Biotechnology Information (NCBI), <https://www.ncbi.nlm.nih.gov/books/NBK25499/>. This package is focused on working with sequence metadata and links. It handles pagination and compensates for some API limitations to simplify these tasks. API calls are printed to the console to highlight how high-level queries are translated into individual HTTP requests.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, glue, httr2, purrr, rlang (>= 1.1.0), vctrs (>= 0.7.0), xml2
Suggests: httpuv, testthat (>= 3.0.0), tibble, withr
URL: https://github.com/cidm-ph/jentre, https://cidm-ph.github.io/jentre/
BugReports: https://github.com/cidm-ph/jentre/issues
NeedsCompilation: no
Packaged: 2026-03-25 06:10:45 UTC; csus5157
Author: Carl Suster [aut, cre, cph]
Maintainer: Carl Suster <carl.suster@sydney.edu.au>
Repository: CRAN
Date/Publication: 2026-03-30 08:50:13 UTC

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Sun, 29 Mar 2026

New package roam with initial version 0.1.0
Package: roam
Title: Remote Objects with Active-Binding Magic
Version: 0.1.0
Description: Provide helper functions for package developers to create active bindings that looks like data embedded in the package, but are downloaded from remote sources.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rappdirs, utils
Suggests: devtools, knitr, rmarkdown, testthat (>= 3.0.0), usethis
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-25 01:25:54 UTC; yangy
Author: Mitchell O'Hara-Wild [aut] , Yangzhuoran Fin Yang [aut, cre]
Maintainer: Yangzhuoran Fin Yang <yangyangzhuoran@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-29 16:40:03 UTC

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New package LactCurveModels with initial version 0.1.5
Package: LactCurveModels
Title: Lactation Curve Model Fitting for Dairy Animals
Version: 0.1.5
Suggests: knitr, rmarkdown, spelling
VignetteBuilder: knitr
Description: Fits up to 20 nonlinear lactation curve models to dairy animal milk yield data. Models fitted include exponential, polynomial, mixed logarithmic, inverse polynomial, and sigmoid families published between 1923 and 2000. Supports batch processing of multiple animals from a single CSV file, with flexible selection of animals and models. Produces per-animal parameter tables, goodness-of-fit metrics including R-squared (R2), Root Mean Square Error (RMSE), Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), and a serial autocorrelation statistic, 15 diagnostic figures, and combined cross-animal comparison outputs. References: <doi:10.1085/jgp.5.4.441>, <doi:10.1038/216164a0>, <doi:10.1016/0301-6226(87)90003-0>, <doi:10.4141/cjas87-067>, <doi:10.3168/jds.S0022-0302(00)75136-8>.
License: GPL-3
Encoding: UTF-8
Language: en-GB
Imports: stats, utils, grDevices, graphics
URL: https://github.com/venkatesanraja/LactCurveModels
BugReports: https://github.com/venkatesanraja/LactCurveModels/issues
NeedsCompilation: no
Packaged: 2026-03-25 03:39:51 UTC; hp
Author: Raja TV [aut, cre], Lalremruati PC [aut], Priyadharshini P [aut], Nidhishree NS [aut], Dheeraj Gurjar [aut], Rani Alex [aut], Vikas Vohra [aut]
Maintainer: Raja TV <venkatesanraja09@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-29 17:00:02 UTC

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New package kuenm2 with initial version 0.1.2
Package: kuenm2
Title: Detailed Development of Ecological Niche Models
Version: 0.1.2
Maintainer: Weverton C. F. Trindade <wevertonf1993@gmail.com>
BugReports: https://github.com/marlonecobos/kuenm2/issues
Date: 2026-03-24
Description: A new set of tools to help with the development of detailed ecological niche models using multiple algorithms. Pre-modeling analyses and explorations can be done to prepare data. Model calibration (model selection) can be done by creating and testing models with several parameter combinations. Handy options for producing final models with transfers are included. Other tools to assess extrapolation risks and variability in model transfers are also available. Methodological and theoretical basis for the methods implemented here can be found in: Peterson et al. (2011) <https://www.degruyter.com/princetonup/view/title/506966>, Radosavljevic and Anderson (2014) <doi:10.1111/jbi.12227>, Peterson et al. (2018) <doi:10.1111/nyas.13873>, Cobos et al. (2019) <doi:10.7717/peerj.6281>, Alkishe et al. (2020) <doi:10.1016/j.pecon.2020.03.002>, Machado-Stredel et al. (2021) <doi:10.21425/F5FBG48814>, Arias-Giraldo and Cobos (2024) <doi:10.17161/bi.v18i.21742> [...truncated...]
Imports: doSNOW, enmpa (>= 0.2.1), foreach (>= 1.5), fpROC (>= 0.1.0), glmnet (>= 4.1), grDevices, graphics, mgcv (>= 1.9), mop (>= 0.1.3), parallel, stats, terra (>= 1.6), utils
SystemRequirements: GDAL (>= 2.2.3), GEOS (>= 3.4.0), PROJ (>= 4.9.3)
Depends: R (>= 3.5)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, spelling
VignetteBuilder: knitr
URL: https://marlonecobos.github.io/kuenm2/
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-24 23:19:37 UTC; wever
Author: Weverton C. F. Trindade [aut, cre] , Luis F. Arias-Giraldo [aut] , Luis Osorio-Olvera [aut] , A. Townsend Peterson [aut] , Marlon E. Cobos [aut]
Repository: CRAN
Date/Publication: 2026-03-29 16:10:03 UTC

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New package ggExametrika with initial version 1.0.0
Package: ggExametrika
Title: Visualization of 'exametrika' Output Using 'ggplot2'
Version: 1.0.0
Description: Provides 'ggplot2'-based visualization functions for output objects from the 'exametrika' package, which implements test data engineering methods described in Shojima (2022, ISBN:978-981-16-9547-1). Supports a wide range of psychometric models including Item Response Theory, Latent Class Analysis, Latent Rank Analysis, Biclustering (binary, ordinal, and nominal), Bayesian Network Models, and related network models. All plot functions return 'ggplot2' objects that can be further customized by the user.
URL: https://kosugitti.github.io/ggExametrika/, https://github.com/kosugitti/ggExametrika
BugReports: https://github.com/kosugitti/ggExametrika/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0), ggplot2
Imports: ggraph, ggrepel, gridExtra, igraph, tidyr
Suggests: exametrika, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-25 00:04:06 UTC; newton
Author: Koji Kosugi [aut, cre] , Daichi Kamimura [aut]
Maintainer: Koji Kosugi <kosugitti@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-29 16:20:03 UTC

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New package FluxSeparator with initial version 1.0.1
Package: FluxSeparator
Title: Separation of Diffusive and Ebullitive Fluxes
Version: 1.0.1
Description: Separates diffusive and ebullitive (bubble) fluxes from continuous concentration measurements using a running variance approach. Ebullitive events are identified when the running variance exceeds a user-set threshold. Diffusive fluxes are calculated via linear regression on the non-ebullitive portion of the data. See Sø et al. (2024) <doi:10.1029/2024JG008035> for details.
License: MIT + file LICENSE
URL: https://github.com/JonasStage/FluxSeparator, https://doi.org/10.1029/2024JG008035
BugReports: https://github.com/JonasStage/FluxSeparator/issues
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: broom, dplyr, ggplot2, ggpubr, graphics, HMR, lubridate, magrittr, purrr, readr, rlang, stats, stringr, tidyr, TTR
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-25 03:53:01 UTC; jonas
Author: Jonas Stage Soe [aut, cre] , Kaj Sand-Jensen [ctb] , Theis Kragh [ctb]
Maintainer: Jonas Stage Soe <Jonassoe@biology.sdu.dk>
Repository: CRAN
Date/Publication: 2026-03-29 16:50:03 UTC

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New package evmr with initial version 0.1.0
Package: evmr
Title: Extreme Value Modeling for r-Largest Order Statistics
Version: 0.1.0
Description: Tools for extreme value modeling based on the r-largest order statistics framework. The package provides functions for parameter estimation via maximum likelihood, return level estimation with standard errors, profile likelihood-based confidence intervals, random sample generation, and entropy difference tests for selecting the number of order statistics r. Several r-largest order statistics models are implemented, including the four-parameter kappa (rK4D), generalized logistic (rGLO), generalized Gumbel (rGGD), logistic (rLD), and Gumbel (rGD) distributions. The rK4D methodology is described in Shin et al. (2022) <doi:10.1016/j.wace.2022.100533>, the rGLO model in Shin and Park (2024) <doi:10.1007/s00477-023-02642-7>, and the rGGD model in Shin and Park (2025) <doi:10.1038/s41598-024-83273-y>. The underlying distributions are related to the kappa distribution of Hosking (1994) <doi:10.1017/CBO9780511529443>, the generalized logistic distribution discussed by Ah [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: eva, graphics, lmomco, numDeriv, Rsolnp, stats
Suggests: testthat (>= 3.0.0),
LazyData: true
URL: https://github.com/yire-shin/evmr
BugReports: https://github.com/yire-shin/evmr/issues
NeedsCompilation: no
Packaged: 2026-03-25 01:20:07 UTC; user
Author: Yire Shin [aut, cre] , Jeong-Soo Park [aut, ths]
Maintainer: Yire Shin <shinyire87@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-29 16:40:08 UTC

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New package ameras with initial version 0.1.1
Package: ameras
Title: Analyze Multiple Exposure Realizations in Association Studies
Version: 0.1.1
Depends: R (>= 3.5.0), stats, nimble
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggplot2
Description: Analyze association studies with multiple realizations of a noisy or uncertain exposure. These can be obtained from e.g. a two-dimensional Monte Carlo dosimetry system (Simon et al 2015 <doi:10.1667/RR13729.1>) to characterize exposure uncertainty. The implemented methods are regression calibration (Carroll et al. 2006 <doi:10.1201/9781420010138>), extended regression calibration (Little et al. 2023 <doi:10.1038/s41598-023-42283-y>), Monte Carlo maximum likelihood (Stayner et al. 2007 <doi:10.1667/RR0677.1>), frequentist model averaging (Kwon et al. 2023 <doi:10.1371/journal.pone.0290498>), and Bayesian model averaging (Kwon et al. 2016 <doi:10.1002/sim.6635>). Supported model families are Gaussian, binomial, multinomial, Poisson, proportional hazards, and conditional logistic.
License: MIT + file LICENSE
Imports: Rcpp (>= 1.0.10), RcppEigen, coda, numDeriv, MCMCvis, mvtnorm, memoise, methods
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
VignetteBuilder: knitr
Author: Sander Roberti [aut, cre] , William Wheeler [aut], Deukwoo Kwon [aut] , Ruth Pfeiffer [ctb] , NCI [cph, fnd]
Maintainer: Sander Roberti <sander.roberti@nih.gov>
Packaged: 2026-03-25 01:30:38 UTC; robertis2
Repository: CRAN
Date/Publication: 2026-03-29 16:40:16 UTC

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New package xtrec with initial version 1.0.0
Package: xtrec
Title: Panel Unit Root Test Based on Recursive Detrending
Version: 1.0.0
Description: Implements the recursively detrended panel unit root tests proposed by Westerlund (2015) <doi:10.1016/j.jeconom.2014.09.013>. Two variants are provided: the basic t-REC test assuming iid errors, and the robust t-RREC test that accounts for serial correlation, cross-sectional dependence, and heteroskedasticity via defactoring and BIC-selected lag augmentation. Both tests have a standard normal null distribution requiring no mean or variance correction. The panel must be strongly balanced.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0)
URL: https://github.com/muhammedalkhalaf/xtrec
BugReports: https://github.com/muhammedalkhalaf/xtrec/issues
NeedsCompilation: no
Packaged: 2026-03-24 14:52:43 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-29 15:20:02 UTC

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New package simpowa with initial version 1.0.3
Package: simpowa
Title: Power Analysis and Sample Size Calculation for Semi-Field Vector Control Trials
Version: 1.0.3
Maintainer: Andrea M. Kipingu <akipingu@ihi.or.tz>
Description: Uses simulations from generalized linear mixed-effects models to incorporate random effects across multiple sources and levels of variation, and a dispersion parameter to account for overdispersion and capture unexplained variability. Covers design scenarios for both short-term and long-term trials evaluating the impact of single or combined vector control interventions. Methods build on Kipingu et al. (2025) <doi:10.1186/s12936-025-05454-y> and Johnson et al. (2015) <doi:10.1111/2041-210X.12306>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: lme4, parallel, dplyr, ggplot2, stats
Suggests: rmarkdown, testthat (>= 3.0.0), waldo, devtools
URL: https://github.com/akipingu/simpowa
BugReports: https://github.com/akipingu/simpowa/issues
NeedsCompilation: no
Packaged: 2026-03-24 19:31:07 UTC; dr.kipingu
Author: Andrea M. Kipingu [aut, cre] , Mafalda Viana [aut] , Paul C.D. Johnson [aut] , Samson S. Kiware [aut]
Repository: CRAN
Date/Publication: 2026-03-29 16:00:02 UTC

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New package flexCausal with initial version 0.1.0
Package: flexCausal
Title: Causal Effect Estimation via Doubly Robust One-Step Estimators and TMLE in Graphical Models with Unmeasured Variables
Version: 0.1.0
Date: 2026-03-18
Description: Provides doubly robust one-step and targeted maximum likelihood (TMLE) estimators for average causal effects in acyclic directed mixed graphs (ADMGs) with unmeasured variables. Automatically determines whether the treatment effect is identified via backdoor adjustment or the extended front-door functional, and dispatches to the appropriate estimator. Supports incorporation of machine learning algorithms via 'SuperLearner' and cross-fitting for nuisance estimation. Methods are described in Guo and Nabi (2024) <doi:10.48550/arXiv.2409.03962>.
License: GPL-3
LazyData: true
URL: https://github.com/annaguo-bios/flexCausal
BugReports: https://github.com/annaguo-bios/flexCausal/issues
Encoding: UTF-8
Language: en-US
Imports: rlang, dplyr, SuperLearner, densratio, MASS, mvtnorm, stats, utils
Depends: R (>= 4.1)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), earth, ranger
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-24 14:58:47 UTC; apple
Author: Anna Guo [aut, cre] , Razieh Nabi [aut]
Maintainer: Anna Guo <guo.anna617@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-29 15:20:08 UTC

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New package fishmechr with initial version 1.0.3
Package: fishmechr
Title: Computes Kinematic Parameters for Swimming
Version: 1.0.3
Description: Processes tracked points on a fish's body and uses them to estimate standard kinematic parameters such as tail beat amplitude and frequency, body wavelength and wavespeed. As part of this, it also estimates the location of the center of mass and the principal swimming axis. The techniques are described in detail in the main vignette and are published in the book chapter Hawkins, O.H., Di Santo, V., Tytell, Eric.D., 2025. "Biomechanics and energetics of swimming", in: Higham, T.E., Lauder, G.V. (Eds.), Integrative Fish Biomechanics, Fish Physiology. Academic Press. <doi:10.1016/bs.fp.2025.06.003>.
License: CC BY 4.0
Encoding: UTF-8
Depends: R (>= 4.4.0)
LazyData: true
Imports: assertthat, cli, dplyr, gsignal, pracma, rlang, tibble, tidyr, tidyselect
Suggests: ggplot2, knitr, patchwork, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://tytell.github.io/fishmechr/, https://github.com/tytell/fishmechr
BugReports: https://github.com/tytell/fishmechr/issues
NeedsCompilation: no
Packaged: 2026-03-24 17:41:04 UTC; etytel01
Author: Eric Tytell [aut, cre, cph] , Olivia Hawkins [ctb] , National Science Foundation [fnd]
Maintainer: Eric Tytell <eric.tytell@tufts.edu>
Repository: CRAN
Date/Publication: 2026-03-29 15:40:02 UTC

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New package FinanceGraphs with initial version 0.8.0
Package: FinanceGraphs
Title: Flexible Graphs for Analysis of Financial Data and Time Series
Version: 0.8.0
Description: Flexible wrappers around R graphics modules 'dygraphs' <https://dygraphs.com/> and 'ggplot2' <https://ggplot2.tidyverse.org/> to visualize data commonly found in Financial Studies, with an emphasis on time series. Interactive time series plots include multiple options for incorporating external data such as forecasts and events. Other static plots useful for time series data include an intuitive and generic scatter plotter, a boxplot generator suitable for multiple time series, and event study plotters for time series analysis around sets of dates.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.0.0), purrr (>= 1.2.0), tibble (>= 1.0.0), broom (>= 1.0.0), stringr (>= 1.2.0), forcats (>= 1.0.0), lubridate (>= 1.7.0), timeDate (>= 4000.0), utils (>= 4.0.0), tidyr (>= 0.6.3), xts (>= 0.10.0), ggtext (>= 0.1.0), graphics (>= 4.0.0), grDevices (>= 4.5.0), hexbin (>= 1.28.0), ggplot2 (>= 4.0.0), ggrepel (>= 0.9.0), ggiraph (>= 0.9.0), knitr (>= 1.45), cpm (>= 2.0.0), scales (>= 1.1.0), stats (>= 4.5.0), utils (>= 4.5.0), data.table (>= 1.9.8), dygraphs (>= 1.1.0)
Suggests: ecp (>= 3.1.0), tidyquant (>= 1.0.0), RColorBrewer (>= 1.0.0), prophet (>= 1.1.0), forecast (>= 9.0.0), timetk (>= 2.9.0), sweep (>= 0.2.0), alphavantagepf (>= 0.3.0), testthat, rmarkdown (>= 2.25)
LazyData: true
VignetteBuilder: knitr
URL: https://github.com/derekholmes0/FinanceGraphs
BugReports: https://github.com/derekholmes0/FinanceGraphs/issues
NeedsCompilation: no
Packaged: 2026-03-24 15:13:45 UTC; DFH
Author: Derek Holmes [aut, cre, cph]
Maintainer: Derek Holmes <derek@derekholmes.com>
Repository: CRAN
Date/Publication: 2026-03-29 15:20:14 UTC

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New package drMAIC with initial version 0.1.0
Package: drMAIC
Language: en-GB
Title: Doubly Robust Matching-Adjusted Indirect Comparison for HTA
Version: 0.1.0
Description: Implements Doubly Robust Matching-Adjusted Indirect Comparison (DR-MAIC) for population-adjusted indirect treatment comparisons in health technology appraisal (HTA). The package provides: (1) standard MAIC via entropy balancing / exponential tilting; (2) augmented/doubly robust MAIC combining inverse probability weighting with outcome regression; (3) comprehensive covariate balance diagnostics including standardised mean differences, Love plots, and effective sample size; (4) sensitivity analyses including E-values, weight trimming, and variable exclusion analyses; (5) bootstrap confidence intervals; and (6) submission-ready outputs aligned with NICE Decision Support Unit Technical Support Document 18, Cochrane Handbook guidance on indirect comparisons, and ISPOR best practice guidelines. Supports binary (risk difference, risk ratio, odds ratio) and time-to-event (hazard ratio) outcomes.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, survival, boot, ggplot2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
URL: https://github.com/Anupama-Singh01/drMAIC
BugReports: https://github.com/Anupama-Singh01/drMAIC/issues
NeedsCompilation: no
Packaged: 2026-03-24 19:14:24 UTC; AnupamaSingh
Author: Anupama Singh [aut, cre]
Maintainer: Anupama Singh <anupama.singh@pharmacoevidence.com>
Repository: CRAN
Date/Publication: 2026-03-29 15:50:15 UTC

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New package CellDEEP with initial version 1.0.1
Package: CellDEEP
Title: Cell DiffErential Expression by Pooling ('CellDEEP')
Version: 1.0.1
Description: Pool cells together before running differentially expression (DE) analysis. Tell 'CellDEEP' how many cells you want to pool together (which shall be determined by the overall cell number of data), then run DE analysis. Cheng et al. (2026) <doi:10.64898/2026.03.09.710522>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: Seurat
Suggests: knitr, rmarkdown, testthat (>= 3.2.3)
VignetteBuilder: knitr
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-03-24 16:10:07 UTC; andrewmccluskey
Author: Yiyi Cheng [aut, cre]
Maintainer: Yiyi Cheng <2593244c@student.gla.ac.uk>
Repository: CRAN
Date/Publication: 2026-03-29 15:30:02 UTC

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New package bayespmtools with initial version 0.0.1
Package: bayespmtools
Title: Bayesian Sample Size and Precision Considerations for Risk Prediction Models
Version: 0.0.1
Maintainer: Mohsen Sadatsafavi <mohsen.sadatsafavi@ubc.ca>
Description: Performs Bayesian sample size, precision, and value-of-information analysis for external validation of existing multi-variable prediction models using the approach proposed by Sadatsafavi and colleagues (2025) <doi:10.1002/sim.70389>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: fastLogisticRegressionWrap, logitnorm, mc2d, mcmapper, pROC, cobs, OOR, quantreg
LazyData: true
Suggests: knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-08 21:09:05 UTC; annaluo
Author: Mohsen Sadatsafavi [aut, cre] , Anna Luo [ctb]
Repository: CRAN
Date/Publication: 2026-03-29 15:40:09 UTC

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New package rjd3bench with initial version 3.1.1
Package: rjd3bench
Title: Temporal Disaggregation and Benchmarking in 'JDemetra+' 3.x
Version: 3.1.1
Description: Interface to 'JDemetra+' 3.x (<https://github.com/jdemetra>) time series analysis software. It provides a variety of methods for temporal disaggregation & interpolation, benchmarking, reconciliation and calendarization. It incorporates statistical methods described in the latest European Statistical System (ESS) guidelines on temporal disaggregation, benchmarking, and reconciliation (2018 edition). The package implements highly efficient algorithms for fast and reliable computation.
License: EUPL
URL: https://github.com/rjdverse/rjd3bench, https://rjdverse.github.io/rjd3bench/
BugReports: https://github.com/rjdverse/rjd3bench/issues
Depends: R (>= 4.1.0)
Imports: rJava (>= 1.0-6), rjd3toolkit (>= 3.7.1), RProtoBuf (>= 0.4.20), stats, graphics
Encoding: UTF-8
SystemRequirements: Java (>= 21)
LazyData: TRUE
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-24 13:29:47 UTC; lemasso
Author: Jean Palate [aut], Corentin Lemasson [aut, cre], Tanguy Barthelemy [ctb, art]
Maintainer: Corentin Lemasson <corentin.lemasson@nbb.be>
Repository: CRAN
Date/Publication: 2026-03-29 14:50:02 UTC

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New package reviser with initial version 0.1.0
Package: reviser
Title: Analyzing Revisions in Real-Time Time Series Vintages
Version: 0.1.0
Description: Analyzes revisions in real-time time series vintages. The package converts between wide revision triangles and tidy long vintages, extracts selected releases, computes revision series, visualizes vintage paths, and summarizes revision properties such as bias, dispersion, autocorrelation, and news-noise diagnostics. It also identifies efficient releases and estimates state-space models for revision nowcasting. Methods are based on Howrey (1978) <doi:10.2307/1924972>, Jacobs and Van Norden (2011) <doi:10.1016/j.jeconom.2010.04.010>, and Kishor and Koenig (2012) <doi:10.1198/jbes.2010.08169>.
Author: Marc Burri [aut, cre, cph] , Philipp Wegmueller [aut, cph]
Maintainer: Marc Burri <marc.burri91@gmail.com>
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: dplyr, tidyr, pillar, ggplot2, car, sandwich, systemfit, calculus, rlang, scales, tibble, lubridate, KFAS, numDeriv, withr
Suggests: tsbox, testthat (>= 3.0.0), knitr, rmarkdown, purrr
VignetteBuilder: knitr
URL: https://p-wegmueller.github.io/reviser/
BugReports: https://github.com/p-wegmueller/reviser/issues
NeedsCompilation: no
Packaged: 2026-03-24 13:48:12 UTC; burrm
Repository: CRAN
Date/Publication: 2026-03-29 15:00:02 UTC

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New package betaARMA with initial version 1.0.1
Package: betaARMA
Title: Beta Autoregressive Moving Average Models
Version: 1.0.1
Description: Fits Beta Autoregressive Moving Average (BARMA) models for time series data distributed in the standard unit interval (0, 1). The estimation is performed via the conditional maximum likelihood method using the Broyden-Fletcher-Goldfarb-Shanno (BFGS) quasi-Newton algorithm. The package includes tools for model fitting, diagnostic checking, and forecasting. Based on the work of Rocha and Cribari-Neto (2009) <doi:10.1007/s11749-008-0112-z> and the associated erratum Rocha and Cribari-Neto (2017) <doi:10.1007/s11749-017-0528-4>. The original code was developed by Fabio M. Bayer.
License: MIT + file LICENSE
URL: https://github.com/Everton-da-Costa/betaARMA
BugReports: https://github.com/Everton-da-Costa/betaARMA/issues
Encoding: UTF-8
Language: en-US
Imports: forecast
Suggests: knitr, xtable, here, moments, rmarkdown, tseries, lbfgs, ggplot2, foreach, zoo, dplyr, gridExtra
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-03-24 13:22:53 UTC; cost
Author: Everton da Costa [aut, cre] , Francisco Cribari-Neto [ctb, ths] , Vinicius Scher [ctb]
Maintainer: Everton da Costa <everto.cost@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-29 14:50:09 UTC

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New package autoMR with initial version 0.1.1
Package: autoMR
Title: Automated Mendelian Randomization Workflows and Visualizations
Version: 0.1.1
Description: Provides tools to summarize, analyze, and visualize results from Mendelian randomization studies using summarized genetic association data. The package includes functions for generating forest plots and scatter plots at the single-nucleotide polymorphism and Mendelian randomization method levels, and for fitting multiple estimators in a unified workflow, including inverse-variance weighted estimation, Mendelian randomization Egger regression, the weighted median estimator, the robust adjusted profile score, Mendelian randomization pleiotropy residual sum and outlier, Mendelian randomization with the genotype recoding invariance property, and a Bayesian horseshoe method. Related methods are described by Burgess (2013) <doi:10.1002/gepi.21758>, Bowden (2015) <doi:10.1093/ije/dyv080>, Bowden (2016) <doi:10.1002/gepi.21965>, Zhao (2020) <doi:10.1214/19-AOS1866>, Verbanck (2018) <doi:10.1038/s41588-018-0099-7>, Dudbridge (2025) <doi:10.1371/journal.pgen.1011 [...truncated...]
Depends: R (>= 4.2)
Imports: ggplot2 (>= 4.0.1), dplyr (>= 1.1.4), tidyr (>= 1.3.1), MendelianRandomization (>= 0.10.0), R2jags (>= 0.8-9), coda (>= 0.19-4.1), nortest (>= 1.0-4), grDevices, graphics, stats, utils, methods
URL: https://github.com/KelinZhong/autoMR
BugReports: https://github.com/KelinZhong/autoMR/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-24 14:14:31 UTC; Colin
Author: Kelin Zhong [aut, cre], Chia-Ling Kuo [aut]
Maintainer: Kelin Zhong <kelin.zhong@uconn.edu>
Repository: CRAN
Date/Publication: 2026-03-29 15:00:10 UTC

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Fri, 27 Mar 2026

New package unitrootests with initial version 1.0.0
Package: unitrootests
Title: Comprehensive Unit Root and Stationarity Tests
Version: 1.0.0
Description: A unified framework for unit root and stationarity testing including quantile ADF tests (Koenker and Xiao, 2004) <doi:10.1198/016214504000001114>, GARCH-based unit root tests with endogenous structural breaks (Narayan and Liu, 2015) <doi:10.1016/j.eneco.2014.11.021>, and comprehensive Dickey-Fuller, Phillips-Perron, KPSS, ERS/DF-GLS, Zivot-Andrews, and Kobayashi-McAleer tests with an Elder-Kennedy decision strategy (Elder and Kennedy, 2001) <doi:10.1080/00220480109595179>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, quantreg, tseries, urca, strucchange
Suggests: testthat (>= 3.0.0), zoo
NeedsCompilation: no
Packaged: 2026-03-24 11:13:25 UTC; acad_
Author: Muhammad Abdullah Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Abdullah Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-27 11:10:03 UTC

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New package cointests with initial version 1.0.0
Package: cointests
Title: Comprehensive Cointegration Tests with Fourier and Panel Methods
Version: 1.0.0
Description: A unified toolkit for cointegration testing including Fourier-based cointegration tests (FADL, FEG, FEG2, Tsong) that accommodate smooth structural breaks via flexible Fourier terms, and panel CADF cointegration tests with structural breaks using the Common Correlated Effects (CCE) estimator following Banerjee, Arcabic and Lee (2017) <doi:10.1016/j.econmod.2017.03.004>, Tsong, Lee, Tsai and Hu (2016) <doi:10.1007/s00181-015-1028-6>, and Banerjee and Carrion-i-Silvestre (2025) <doi:10.1080/07350015.2024.2327844>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-24 11:13:25 UTC; acad_
Author: Muhammad Abdullah Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Abdullah Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-27 11:10:08 UTC

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New package TruncatedPCQM with initial version 0.1.2
Package: TruncatedPCQM
Title: Density Estimation for Point-Centered Quarter Method with Truncated Sampling
Version: 0.1.2
Maintainer: Wenzhe Huang <51280155097@stu.ecnu.edu.cn>
Description: Implements a systematic methodology for estimating population density from point-centered quarter method (PCQM) surveys when distance measurements are truncated by a maximum search radius (right-censored). The package provides a unified framework for analyzing such incomplete data, addressing both completely randomly distributed (Poisson) and spatially aggregated (Negative Binomial) populations. Key features include: (1) Adjusted moment-based density estimators for censored distances; (2) Maximum likelihood estimation (MLE) of density under the Poisson (CSR) model; and (3) Simultaneous MLE of density and an aggregation parameter under the Negative Binomial model. For more details, see Huang, Shen, Xing, and Zhao (2026) <doi:10.48550/arXiv.2603.08276>.
License: GPL (>= 3)
Encoding: UTF-8
Language: en
Depends: R (>= 3.5.0)
Imports:
Suggests: testthat (>= 3.0.0), dplyr (>= 1.1.0)
URL: https://github.com/rcjhrpyt-droid/TruncatedPCQM
BugReports: https://github.com/rcjhrpyt-droid/TruncatedPCQM/issues
NeedsCompilation: no
Packaged: 2026-03-24 05:50:34 UTC; Lenovo
Author: Wenzhe Huang [aut, cre], Guochun Shen [aut], Dingliang Xing [aut], Jiangyan Zhao [aut]
Repository: CRAN
Date/Publication: 2026-03-27 10:30:02 UTC

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New package rbreak with initial version 1.0.7
Package: rbreak
Title: Restricted Structural Change Models
Version: 1.0.7
Maintainer: Zhongjun Qu <qu@bu.edu>
Description: Methods for detecting structural breaks and estimating break locations for linear multiple regression models under general linear restrictions on the coefficient vector. Restrictions can be within regimes, across regimes, or both, and are supported in two forms: an affine parameterization (Form A: delta = S*theta + s) and explicit linear constraints (Form B: R*delta = r). Provides break date estimation with confidence intervals, a restricted sup-F test for the null of no structural change, simulation of critical values by Monte Carlo, and a bootstrap restart procedure to reduce the risk of convergence to spurious local optima. Also implements a generalized regression tree (linear model tree) procedure where each leaf contains a linear regression model rather than a local average. Reference: Perron, P., and Qu, Z. (2006). 'Estimating Restricted Structural Change Models.' Journal of Econometrics, 134(2), 373-399. <doi:10.1016/j.jeconom.2005.06.030>.
License: GPL (>= 3)
Depends: R (>= 4.3.0)
Suggests: knitr, parallel, pbapply, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Imports: MASS, stats
LazyData: true
Packaged: 2026-03-23 21:28:45 UTC; qu
Author: Zhongjun Qu [aut, cre], Cheolju Kim [aut]
Repository: CRAN
Date/Publication: 2026-03-27 10:20:03 UTC

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New package mlmoderator with initial version 0.2.0
Package: mlmoderator
Title: Probing, Plotting, and Interpreting Multilevel Interaction Effects
Version: 0.2.0
Description: Provides a unified workflow for probing, plotting, and assessing the robustness of cross-level interaction effects in two-level mixed-effects models fitted with 'lme4' (Bates et al., 2015) <doi:10.18637/jss.v067.i01>. Implements simple slopes analysis following Aiken and West (1991, ISBN:9780761907121), Johnson-Neyman intervals following Johnson and Fay (1950) <doi:10.1007/BF02288864> and Bauer and Curran (2005) <doi:10.1207/s15327906mbr4003_5>, and grand- or group-mean centering as described in Enders and Tofighi (2007) <doi:10.1037/1082-989X.12.2.121>. Includes a slope variance decomposition that separates fixed-effect uncertainty from random-slope variance (tau11), a contour surface plot of predicted outcomes over the full predictor-by-moderator space, and robustness diagnostics comprising intraclass correlation coefficient shift analysis and leave-one-cluster-out (LOCO) stability checks. Designed for researchers in education, psychology, biostatistics, epide [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1.0)
Imports: lme4, ggplot2, stats, utils, grDevices, rlang
Suggests: testthat (>= 3.0.0), dplyr, tibble, knitr, rmarkdown, patchwork
VignetteBuilder: knitr
URL: https://github.com/causalfragility-lab/mlmoderator
BugReports: https://github.com/causalfragility-lab/mlmoderator/issues
NeedsCompilation: no
Packaged: 2026-03-24 12:39:06 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-03-27 11:00:09 UTC

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New package MappingCalc with initial version 2.0.0
Package: MappingCalc
Title: Mapping Calculator for EQ-5D Utility Scores
Version: 2.0.0
Description: Provides a 'shiny' web application to map scores from clinical instruments (PANSS, SQLS, WHODAS 2.0, PHQ-8, EQ-5D-5L) to preference-based EQ-5D-5L health utility values using validated regression-based and beta-mixture mapping algorithms developed from Singapore population studies. Intended for use in health economic evaluations and cost-utility analyses. Methods are based on: Abdin et al. (2019) <doi:10.1007/s11136-018-2037-7>, Seow et al. (2023) <doi:10.1080/14737167.2023.2215430>, Abdin et al. (2021) <doi:10.1186/s12888-021-03463-0>, Abdin et al. (2024) <doi:10.1080/14737167.2024.2376100>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: shiny (>= 1.7.0), bslib, ggplot2, readxl, haven, writexl, tibble
Suggests: DT, testthat (>= 3.0.0), spelling
Language: en-GB
NeedsCompilation: no
Packaged: 2026-03-24 01:01:22 UTC; Edi
Author: Edimansyah Abdin [aut, cre]
Maintainer: Edimansyah Abdin <edimansyah.bin.abdin@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-27 10:20:12 UTC

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New package lisat with initial version 0.1.2
Package: lisat
Title: Longitudinal Integration Site Analysis Toolkit
Version: 0.1.2
Description: A comprehensive toolkit for the analysis of longitudinal integration site data, including data cleaning, quality control, statistical modeling, and visualization. It streamlines the entire workflow of integration site analysis, supports simple input formats, and provides user-friendly functions for researchers in virus integration site analysis. Ni et al. (2025) <doi:10.64898/2025.12.20.695672>.
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R (>= 3.5)
Imports: GenomicRanges (>= 1.50.0), IRanges (>= 2.32.0), tidyr (>= 1.3.0), dplyr (>= 1.1.4), AnnotationDbi (>= 1.50.0), S4Vectors (>= 0.32.0), GenomicFeatures (>= 1.50.0), magrittr, ggplot2, purrr, broom
Suggests: TxDb.Hsapiens.UCSC.hg38.knownGene, org.Hs.eg.db, knitr, rmarkdown, grid, gt (>= 0.9.0), gtable (>= 0.3.6), this.path (>= 2.0.0), plotrix (>= 3.8-2), scales (>= 1.2.0), writexl (>= 1.4.0), ggrepel (>= 0.9.4), ggpubr (>= 0.6.0), viridisLite (>= 0.4.2), RIdeogram (>= 0.2.2), patchwork (>= 1.1.3), RColorBrewer (>= 1.1-3), colorspace, treemapify, igraph, visNetwork, Cairo (>= 1.6-1), testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-24 09:27:27 UTC; nishuai
Author: Shuai Ni [aut, cre]
Maintainer: Shuai Ni <Nishuai@wakerbio.com>
Repository: CRAN
Date/Publication: 2026-03-27 10:40:03 UTC

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Thu, 26 Mar 2026

New package yieldcurves with initial version 0.1.0
Package: yieldcurves
Title: Yield Curve Fitting, Analysis, and Decomposition
Version: 0.1.0
Description: Fits yield curves using Nelson-Siegel (1987) <doi:10.1086/296409>, Svensson (1994) <doi:10.3386/w4871>, and cubic spline methods. Extracts forward rates, discount factors, and par rates from fitted curves. Computes duration and convexity risk measures. Computes Z-spread and key rate durations. Provides principal component decomposition following Litterman and Scheinkman (1991) <doi:10.3905/jfi.1991.692347>, carry and roll-down analysis, and slope measures. All methods are pure computation with no external dependencies beyond base R; works with yield data from any source.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: cli (>= 3.6.0), graphics, stats
Suggests: testthat (>= 3.0.0)
URL: https://github.com/charlescoverdale/yieldcurves
BugReports: https://github.com/charlescoverdale/yieldcurves/issues
NeedsCompilation: no
Packaged: 2026-03-23 19:14:42 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-26 10:50:02 UTC

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New package SEPA with initial version 0.1.0
Package: SEPA
Title: Segment Profile Extraction via Pattern Analysis
Version: 0.1.0
Description: Implements the Segment Profile Extraction via Pattern Analysis method for row-mean-centered multivariate data. Core capabilities include SVD-based row-isometric biplot construction, bias-corrected and accelerated, and percentile bootstrap confidence intervals for domain coordinates and per-person direction cosines, Procrustes alignment of bootstrap replicates across planes, parallel analysis for dimensionality selection, and segment profile reconstruction in planes defined by pairs of singular dimensions. A synthetic Woodcock-Johnson IV look-alike dataset is provided for examples and testing. The method is described in Kim and Grochowalski (2019) <doi:10.1007/s00357-018-9277-7>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1.0)
Imports: boot (>= 1.3-28), parallel
Suggests: writexl (>= 1.4.0), knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-23 12:23:01 UTC; sekangkim
Author: Se-Kang Kim [aut, cre]
Maintainer: Se-Kang Kim <se-kang.kim@bcm.edu>
Repository: CRAN
Date/Publication: 2026-03-26 10:20:02 UTC

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New package pixieweb with initial version 0.1.0
Package: pixieweb
Title: Access PX-Web Statistical Data from R
Version: 0.1.0
Description: A pipe-friendly R client for PX-Web statistical APIs. Provides a search-then-fetch workflow for discovering and downloading data from national statistics agencies (SCB, SSB, Statistics Finland, etc.) using a consistent tibble-based interface.
License: AGPL (>= 3)
URL: https://lchansson.github.io/pixieweb/, https://github.com/lchansson/pixieweb
BugReports: https://github.com/lchansson/pixieweb/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr, httr2, jsonlite, rlang (>= 1.1.0), tibble, tidyr
Suggests: ggplot2, httptest2, knitr, pxweb, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-23 15:12:26 UTC; tgslhn
Author: Love Hansson [aut, cre, cph]
Maintainer: Love Hansson <love.hansson@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-26 10:30:02 UTC

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New package inflationkit with initial version 0.1.0
Package: inflationkit
Title: Inflation Decomposition, Core Measures, and Trend Estimation
Version: 0.1.0
Description: Tools for analysing inflation dynamics. Computes weighted contributions of price index components, core inflation measures (trimmed mean, weighted median, exclusion-based) following Bryan and Cecchetti (1994) <doi:10.1016/0304-3932(94)90030-2>, inflation persistence via sum-of-AR-coefficients, diffusion indices, Phillips curve estimation, breakeven inflation, and trend inflation using the Beveridge-Nelson decomposition and Hodrick-Prescott filter. All functions are pure computation and work with price data from any source.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: cli (>= 3.6.0), grDevices, graphics, stats
Suggests: testthat (>= 3.0.0)
URL: https://github.com/charlescoverdale/inflationkit
BugReports: https://github.com/charlescoverdale/inflationkit/issues
NeedsCompilation: no
Packaged: 2026-03-23 19:14:29 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-26 10:40:14 UTC

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New package edgarfundamentals with initial version 0.1.1
Package: edgarfundamentals
Title: Retrieve Fundamental Financial Data from SEC 'EDGAR'
Version: 0.1.1
Description: Provides a simple, ticker-based interface for retrieving fundamental financial data from the United States Securities and Exchange Commission's 'EDGAR' 'XBRL' API <https://www.sec.gov/edgar/sec-api-documentation>. Functions return key financial ratios including earnings per share, return on equity, return on assets, debt-to-equity, current ratio, gross margin, operating margin, net margin, price-to-earnings, price-to-book, and dividend yield for any publicly traded U.S. company. Data is sourced directly from company 10-K annual filings, requiring no API key or paid subscription. Designed for use in quantitative finance courses and research workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr (>= 1.1.0), httr (>= 1.4.0), jsonlite (>= 1.8.0), rlang, tidyquant (>= 1.0.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/robschumaker/edgarfundamentals
BugReports: https://github.com/robschumaker/edgarfundamentals/issues
NeedsCompilation: no
Packaged: 2026-03-23 15:37:13 UTC; rschumaker
Author: Robert Schumaker [aut, cre]
Maintainer: Robert Schumaker <rob.schumaker@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-03-26 10:30:09 UTC

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New package ECMLE with initial version 0.1.0
Package: ECMLE
Title: Approximating Evidence via Bounded Harmonic Means
Version: 0.1.0
Description: Implements the Elliptical Covering Marginal Likelihood Estimator (ECMLE), a geometric method for approximating marginal likelihood from posterior draws and log-posterior evaluations. The method constructs a collection of non-overlapping ellipsoids in a high-posterior-density region, computes the covered volume, and combines this with posterior sample coverage to estimate model evidence. It is designed to stabilize harmonic-mean-based evidence approximation and can be applied in multimodal settings. The methodology is described in Naderi et al. (2025) <doi:10.48550/arXiv.2510.20617>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: IDPmisc, graphics, stats, withr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/da-na-deri/ECMLE
BugReports: https://github.com/da-na-deri/ECMLE/issues
NeedsCompilation: no
Packaged: 2026-03-23 11:15:51 UTC; naderi
Author: Dana Naderi [aut, cre], Christian P. Robert [aut], Kaniav Kamary [aut], Darren Wraith [aut]
Maintainer: Dana Naderi <naderi@ceremade.dauphine.fr>
Repository: CRAN
Date/Publication: 2026-03-26 10:10:12 UTC

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New package WeightCraft with initial version 1.0.0
Package: WeightCraft
Title: Portfolio Choice: Estimation, Construction, and Evaluation
Version: 1.0.0
Description: Providing quantitative tools for input estimation, portfolio construction, and performance evaluation.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: quadprog, stats
NeedsCompilation: no
Packaged: 2026-03-22 19:21:23 UTC; Pavlos
Author: Pavlos Pantatosakis [aut, cre], Georgios Skoulakis [aut]
Maintainer: Pavlos Pantatosakis <pantatosakisp@yahoo.com>
Repository: CRAN
Date/Publication: 2026-03-26 09:50:14 UTC

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New package TernTables with initial version 1.6.4
Package: TernTables
Title: Publication-Ready Summary Tables and Statistical Testing for Clinical Research
Version: 1.6.4
Description: Generates publication-ready summary tables for clinical research, supporting descriptive summaries and comparisons across two or three groups. The package streamlines the analytical workflow by detecting variable types and applying appropriate statistical tests (Welch t-test, Wilcoxon rank-sum, Welch ANOVA, Kruskal-Wallis, Chi-squared, or Fisher's exact test). Results are formatted as 'tibble' objects and can be exported to 'Word' or 'Excel' using the 'officer', 'flextable', and 'writexl' packages. Optional pairwise post-hoc testing for three-group comparisons (Games-Howell and Dunn's test) is available via the 'rstatix' package. Example data are derived from the landmark adjuvant colon cancer trial described in Moertel et al. (1990) <doi:10.1056/NEJM199002083220602>.
License: MIT + file LICENSE
URL: https://github.com/jdpreston30/TernTables, https://tern-tables.com/
BugReports: https://github.com/jdpreston30/TernTables/issues
Encoding: UTF-8
Imports: cli, dplyr (>= 1.0.0), epitools, flextable (>= 0.9.0), magrittr, officer (>= 0.4.6), rlang, stats, stringr, tibble, withr, writexl
Suggests: knitr, multcompView, rmarkdown, rstatix, survival, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-23 19:59:17 UTC; jdp2019
Author: Joshua D. Preston [aut, cre] , Helen Abadiotakis [aut] , Ailin Tang [aut] , Clayton J. Rust [aut] , Joshua L. Chan [aut]
Maintainer: Joshua D. Preston <joshua.preston@emory.edu>
Repository: CRAN
Date/Publication: 2026-03-26 10:00:21 UTC

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New package SuperSurv with initial version 0.1.1
Package: SuperSurv
Title: A Unified Framework for Machine Learning Ensembles in Survival Analysis
Version: 0.1.1
Description: Implements a Super Learner framework for right-censored survival data. The package fits convex combinations of parametric, semiparametric, and machine learning survival learners by minimizing cross-validated risk using inverse probability of censoring weighting (IPCW). It provides tools for automated hyperparameter grid search, high-dimensional variable screening, and evaluation of prediction performance using metrics such as the Brier score, Uno's C-index, and time-dependent area under the curve (AUC). Additional utilities support model interpretation for survival ensembles, including Shapley additive explanations (SHAP), and estimation of covariate-adjusted restricted mean survival time (RMST) contrasts. The methodology is related to treatment-specific survival curve estimation using machine learning described by Westling, Luedtke, Gilbert and Carone (2024) <doi:10.1080/01621459.2023.2205060>, and the unified ensemble framework described in Lyu et al. (2026) <doi:10.64898/20 [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
LazyData: true
Imports: survival, nnls, future.apply, stats, dplyr, magrittr
URL: https://github.com/yuelyu21/SuperSurv, https://yuelyu21.github.io/SuperSurv/
BugReports: https://github.com/yuelyu21/SuperSurv/issues
Suggests: aorsf, BART, CoxBoost, glmnet, gbm, mgcv, randomForestSRC, ranger, rpart, survivalsvm, xgboost, fastshap, survex, ggplot2, tidyr, quadprog, ggforce, patchwork, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-23 08:46:55 UTC; a98455
Author: Yue Lyu [aut, cre]
Maintainer: Yue Lyu <yuelyu0521@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-26 10:00:27 UTC

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New package soilFlux with initial version 0.1.5
Package: soilFlux
Title: Physics-Informed Neural Networks for Soil Water Retention Curves
Version: 0.1.5
Description: Implements a physics-informed one-dimensional convolutional neural network (CNN1D-PINN) for estimating the complete soil water retention curve (SWRC) as a continuous function of matric potential, from soil texture, organic carbon, bulk density, and depth. The network architecture ensures strict monotonic decrease of volumetric water content with increasing suction by construction, through cumulative integration of non-negative slope outputs (monotone integral architecture). Four physics-based residual constraints adapted from Norouzi et al. (2025) <doi:10.1029/2024WR038149> are embedded in the loss function: (S1) linearity at the dry end (pF in [5, 7.6]); (S2) non-negativity at pF = 6.2; (S3) non-positivity at pF = 7.6; and (S4) a near-zero derivative in the saturated plateau region (pF in [-2, -0.3]). Includes tools for data preparation, model training, dense prediction, performance metrics, texture classification, and publication-quality visualisation.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: Python (>= 3.8), TensorFlow (>= 2.14), Keras (>= 3.0)
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.1.0), tidyr (>= 1.3.0), ggplot2 (>= 3.4.0), purrr (>= 1.0.0), tibble (>= 3.2.0), stringr (>= 1.5.0), reticulate (>= 1.34.0), tensorflow (>= 2.14.0), rlang (>= 1.1.0)
Suggests: keras3 (>= 1.0.0), ggtern, readxl (>= 1.4.0), scales (>= 1.2.0), knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
URL: https://github.com/HugoMachadoRodrigues/soilFlux, https://hugomachadorodrigues.github.io/soilFlux/
BugReports: https://github.com/HugoMachadoRodrigues/soilFlux/issues
NeedsCompilation: no
Packaged: 2026-03-21 21:09:59 UTC; rodrigues.h
Author: Hugo Rodrigues [aut, cre]
Maintainer: Hugo Rodrigues <rodrigues.machado.hugo@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-26 09:30:02 UTC

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New package SeroTrackR with initial version 1.0.0
Package: SeroTrackR
Title: Serology-Based Data Analysis and Visualization
Version: 1.0.0
Description: Data wrangling and cleaning, quality control checks and implementation of machine learning classification algorithm.
License: CC BY 4.0
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, drc, forcats, ggplot2, here, janitor, kableExtra, knitr, magrittr, openxlsx, parsnip, purrr, ranger, readr, readxl, rmarkdown, stats, stringr, tidyr, tidyselect, utils, workflows
URL: https://github.com/dionnecargy/SeroTrackR, https://dionnecargy.github.io/SeroTrackR/
BugReports: https://github.com/dionnecargy/SeroTrackR/issues
Suggests: glue, htmltools, httr, jsonlite, shiny.fluent, tidyverse, zoo
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-23 04:28:32 UTC; argyropoulos.d
Author: Dionne Argyropoulos [aut, cre]
Maintainer: Dionne Argyropoulos <argyropoulos.d@wehi.edu.au>
Repository: CRAN
Date/Publication: 2026-03-26 10:00:36 UTC

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