CRANberries

Fri, 23 Jan 2026

New package rCISSVAE with initial version 0.0.4
Package: rCISSVAE
Title: Clustering-Informed Shared-Structure VAE for Imputation
Version: 0.0.4
Maintainer: Danielle Vaithilingam <vaithid1@mskcc.org>
Description: Implements the Clustering-Informed Shared-Structure Variational Autoencoder ('CISS-VAE'), a deep learning framework for missing data imputation introduced in Khadem Charvadeh et al. (2025) <doi:10.1002/sim.70335>. The model accommodates all three types of missing data mechanisms: Missing Completely At Random (MCAR), Missing At Random (MAR), and Missing Not At Random (MNAR). While it is particularly well-suited to MNAR scenarios, where missingness patterns carry informative signals, 'CISS-VAE' also functions effectively under MAR assumptions.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: reticulate, purrr, gtsummary, rlang, ComplexHeatmap
Suggests: testthat (>= 3.0.0), dplyr, knitr, rmarkdown, tidyverse, kableExtra, MASS, fastDummies, palmerpenguins, glue, withr, ggplot2
URL: https://ciss-vae.github.io/rCISS-VAE/
BugReports: https://github.com/CISS-VAE/rCISS-VAE/issues
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-20 15:01:31 UTC; vaithid1
Author: Yasin Khadem Charvadeh [aut], Kenneth Seier [aut], Katherine S. Panageas [aut], Danielle Vaithilingam [aut, cre], Mithat Goenen [aut], Yuan Chen [aut]
Repository: CRAN
Date/Publication: 2026-01-23 21:20:07 UTC

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New package OptimalBinningWoE with initial version 1.0.3
Package: OptimalBinningWoE
Title: Optimal Binning and Weight of Evidence Framework for Modeling
Version: 1.0.3
Date: 2026-01-20
Description: High-performance implementation of 36 optimal binning algorithms (16 categorical, 20 numerical) for Weight of Evidence ('WoE') transformation, credit scoring, and risk modeling. Includes advanced methods such as Mixed Integer Linear Programming ('MILP'), Genetic Algorithms, Simulated Annealing, and Monotonic Regression. Features automatic method selection based on Information Value ('IV') maximization, strict monotonicity enforcement, and efficient handling of large datasets via 'Rcpp'. Fully integrated with the 'tidymodels' ecosystem for building robust machine learning pipelines. Based on methods described in Siddiqi (2006) <doi:10.1002/9781119201731> and Navas-Palencia (2020) <doi:10.48550/arXiv.2001.08025>.
License: MIT + file LICENSE
URL: https://github.com/evandeilton/OptimalBinningWoE
BugReports: https://github.com/evandeilton/OptimalBinningWoE/issues
Depends: R (>= 4.1.0)
Encoding: UTF-8
Language: en-US
Imports: Rcpp, recipes, rlang, tibble, dials
LinkingTo: Rcpp, RcppEigen, RcppNumerical
Suggests: testthat (>= 3.0.0), dplyr, generics, knitr, rmarkdown, tidymodels, workflows, parsnip, pROC, scorecard
SystemRequirements: C++17
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-01-20 13:21:50 UTC; evand
Author: Jose Evandeilton Lopes [aut, cre, cph]
Maintainer: Jose Evandeilton Lopes <evandeilton@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-23 21:10:06 UTC

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New package gsearly with initial version 1.0.0
Package: gsearly
Title: Creates Group Sequential Trial Designs when Early Outcomes are Available
Version: 1.0.0
Maintainer: Nick Parsons <nick.parsons@warwick.ac.uk>
Description: Methods to construct and power group sequential clinical trial designs for outcomes at multiple times. Outcomes at earlier times provide information on the final (primary) outcome. A range of recruitment and correlation models are available as are methods to simulate data in order to explore design operating characteristics. For more details see Parsons (2024) <doi:10.1186/s12874-024-02174-w>.
Depends: R (>= 4.1.2)
Imports: graphics, grDevices, gsDesign (>= 3.2.1), methods, mvtnorm (>= 1.2-4), nlme (>= 3.1-160), stats, utils
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-20 13:31:42 UTC; nickr
Author: Nick Parsons [aut, cre]
Repository: CRAN
Date/Publication: 2026-01-23 21:20:12 UTC

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New package grepreaper with initial version 0.1.0
Package: grepreaper
Title: Efficient Data Filtering and Aggregation Using Grep
Version: 0.1.0
Description: Provides an interface to the system-level 'grep' utility for efficiently reading, filtering, and aggregating data from multiple flat files. By pre-filtering data at the command line before it enters the R environment, the package reduces memory overhead and improves ingestion speed. Includes functions for counting records across large file systems and supports recursive directory searching.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: ggplot2, knitr, rmarkdown
VignetteBuilder: knitr
Imports: data.table, methods
NeedsCompilation: no
Packaged: 2026-01-20 12:59:50 UTC; akshat
Author: David Shilane [aut], Atharv Raskar [aut], Akshat Maurya [aut, cre]
Maintainer: Akshat Maurya <codingmaster902@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-23 21:10:02 UTC

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New package BinaryReplicates with initial version 1.0.0
Package: BinaryReplicates
Title: Dealing with Binary Replicates
Version: 1.0.0
Description: Statistical methods for analyzing binary replicates, which are noisy binary measurements of latent binary states. Provides scoring functions (average, median, likelihood-based, and Bayesian) to estimate the probability that an individual is in the positive state. Includes maximum a posteriori estimation via the EM algorithm and full Bayesian inference via Stan. Supports classification with inconclusive decisions and prevalence estimation.
License: GPL (>= 3)
URL: https://github.com/pierrepudlo/BinaryReplicates
BugReports: https://github.com/pierrepudlo/BinaryReplicates/issues
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.5.0)
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.4.0), dplyr (>= 0.8.0), magrittr (>= 1.5)
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, tidyverse
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-01-20 15:58:31 UTC; ppudlo
Author: Pierre Pudlo [aut, cre] , Manuela Royez-Carenzi [aut] , Hadrien Lorenzo [aut]
Maintainer: Pierre Pudlo <pierre.pudlo@univ-amu.fr>
Repository: CRAN
Date/Publication: 2026-01-23 21:30:02 UTC

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New package outlying with initial version 0.0.1
Package: outlying
Title: Outliers Detection
Version: 0.0.1
Description: Provides functions for detecting outliers in datasets using statistical methods. The package supports identification of anomalous observations in numerical data and is intended for use in data cleaning, exploratory data analysis, and preprocessing workflows.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-20 07:08:46 UTC; ABRC
Author: Joon-Keat Lai [aut, cre, cph]
Maintainer: Joon-Keat Lai <p10911004@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-23 20:30:08 UTC

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New package directAgeStd with initial version 0.0.2
Package: directAgeStd
Title: Direct Age Standardisation with Confidence Intervals
Version: 0.0.2
Description: Provides tools to compute directly age-standardised rates using the 2013 European Standard Population. Includes variance estimation and 95% confidence intervals for population health applications. Functions are flexible to handle any grouping variable and age bands, allowing reproducible and automated analyses.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, rlang, magrittr, stats
Depends: R (>= 3.5)
URL: https://github.com/JoeBlackford/directAgeStd/
BugReports: https://github.com/JoeBlackford/directAgeStd/issues
NeedsCompilation: no
Packaged: 2026-01-20 09:25:59 UTC; Joe.Blackford
Author: Joe Blackford [aut, cre]
Maintainer: Joe Blackford <joseph.blackford@outlook.com>
Repository: CRAN
Date/Publication: 2026-01-23 20:40:02 UTC

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New package prepkit with initial version 0.1.1
Package: prepkit
Title: Data Normalization and Transformation
Version: 0.1.1
Description: Provides functions for data normalization and transformation in preprocessing stages. Implements scaling methods (min-max, Z-score, L2 normalization) and power transformations (Box-Cox, Yeo-Johnson). Box-Cox transformation is described in Box and Cox (1964) <doi:10.1111/j.2517-6161.1964.tb00553.x>, Yeo-Johnson transformation in Yeo and Johnson (2000) <doi:10.1093/biomet/87.4.954>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://gonrui.github.io/prepkit/, https://github.com/Gonrui/prepkit/
BugReports: https://github.com/Gonrui/prepkit/issues/
Language: en-US
Suggests: testthat (>= 3.0.0)
Imports: ggplot2
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-01-20 01:24:55 UTC; mini gong
Author: Rui Gong [aut, cre]
Maintainer: Rui Gong <gongrui4432@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-23 17:00:02 UTC

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New package CTE with initial version 0.1.3
Package: CTE
Title: Constant Temperature Equivalent
Version: 0.1.3
Date: 2026-01-18
Maintainer: Donald T. McKnight <donald.mcknight@my.jcu.edu.au>
Description: Under natural conditions, nest temperatures fluctuate daily around a mean value, whereas in captivity they are often held constant. The Constant Temperature Equivalent is designed to bridge the gap between the two by calculating a single temperature value for wild nests that corresponds with the amount of development that would occur in an incubator set to the same temperature. The theory and formulas behind this method were developed by Professor Author Georges and are implemented here as a single function.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: dplyr,knitr,rmarkdown
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-20 00:05:15 UTC; Donald McKnight
Author: Donald T. McKnight [aut, cre]
Repository: CRAN
Date/Publication: 2026-01-23 15:50:02 UTC

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New package yfhist with initial version 0.1.3
Package: yfhist
Title: Yahoo Finance 'history' API
Version: 0.1.3
Date: 2026-01-19
Description: Simple and efficient access to Yahoo Finance's historical data API <https://finance.yahoo.com/> for querying and retrieval of financial data. The core functionality of the 'yfhist' package abstracts the complexities of interacting with Yahoo Finance APIs, such as session management, crumb and cookie handling, query construction, date validation, and interval management. This abstraction allows users to focus on retrieving data rather than managing API details. Use cases include historical data across a range of security types including equities & ETFs, indices, and other tickers. The package supports flexible query capabilities, including customizable date ranges, multiple time intervals, and automatic data validation. It automatically manages interval-specific limitations, such as lookback periods for intraday data and maximum date ranges for minute-level intervals. The implementation leverages standard HTTP libraries to handle API interactions efficiently and provides suppo [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
URL: https://github.com/jasonjfoster/hist
BugReports: https://github.com/jasonjfoster/hist/issues
Depends: R (>= 3.5.0)
Imports: curl, jsonlite
Suggests: covr, testthat
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-19 21:02:59 UTC; jason
Author: Jason Foster [aut, cre]
Maintainer: Jason Foster <jason.j.foster@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-23 14:30:02 UTC

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New package sumer with initial version 1.0.0
Package: sumer
Title: Sumerian Cuneiform Text Analysis
Version: 1.0.0
Description: Provides functions for converting transliterated Sumerian texts to sign names and cuneiform characters, creating and querying dictionaries, and analyzing the structure of Sumerian words. Includes a built-in dictionary and supports both forward lookup (Sumerian to English) and reverse lookup (English to Sumerian).
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stringr, officer, xml2, dplyr, cli
Maintainer: Robin Wellmann <ro.wellmann@gmail.com>
NeedsCompilation: no
Packaged: 2026-01-19 18:17:13 UTC; rowel
Author: Robin Wellmann [aut, cre]
Repository: CRAN
Date/Publication: 2026-01-23 14:20:02 UTC

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New package mfcurve with initial version 1.0.2
Package: mfcurve
Title: Multi-Factor Curve Analysis for Grouped Data in 'R'
Version: 1.0.2
Maintainer: Maximilian Frank <maximilian.frank@psy.lmu.de>
Description: Implements multi-factor curve analysis for grouped data in 'R', replicating and extending the functionality of the the 'Stata' ado 'mfcurve' (Krähmer, 2023) <https://ideas.repec.org/c/boc/bocode/s459224.html>. Related to the idea of specification curve analysis (Simonsohn, Simmons, and Nelson, 2020) <doi:10.1038/s41562-020-0912-z>. Includes data preprocessing, statistical testing, and visualization of results with confidence intervals.
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, stats, plotly, tidyr, tidyselect, magrittr, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
URL: https://github.com/XAM12/mfcurve_R
BugReports: https://github.com/XAM12/mfcurve_R/issues
NeedsCompilation: no
Packaged: 2026-01-19 22:10:32 UTC; ra35riq
Author: Maximilian Frank [aut, cre], Daniel Kraehmer [aut], Claudia Weileder [aut]
Repository: CRAN
Date/Publication: 2026-01-23 14:40:07 UTC

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New package joinspy with initial version 0.7.3
Package: joinspy
Title: Diagnostic Tools for Data Frame Joins
Version: 0.7.3
Language: en-US
Description: Provides diagnostic tools for understanding and debugging data frame joins. Analyzes key columns before joining to detect duplicates, mismatches, encoding issues, and other common problems. Explains unexpected row count changes and provides safe join wrappers with cardinality enforcement. Concepts and diagnostics build on tidy data principles as described in Wickham (2014) <doi:10.18637/jss.v059.i10>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, rlang
Suggests: dplyr, data.table, tibble, testthat (>= 3.0.0), knitr, rmarkdown, shiny, miniUI
VignetteBuilder: knitr
URL: https://gillescolling.com/joinspy/, https://github.com/gcol33/joinspy
BugReports: https://github.com/gcol33/joinspy/issues
Depends: R (>= 4.1)
NeedsCompilation: no
Packaged: 2026-01-19 20:31:30 UTC; Gilles Colling
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-23 14:30:06 UTC

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New package GimmeMyStats with initial version 1.0.0
Package: GimmeMyStats
Title: Statistics Utilities
Version: 1.0.0
Description: Facilitate reporting for regression and correlation modeling, hypothesis testing, variance analysis, outlier detection, and detailed descriptive statistics.
License: GPL-3
URL: https://github.com/ecamenen/GimmeMyStats, https://ecamenen.github.io/GimmeMyStats/
BugReports: https://github.com/ecamenen/GimmeMyStats/issues
Depends: magrittr, R (>= 3.8), tidyverse
Imports: dplyr, e1071, forcats, lme4, lmerTest, rstatix, stats, stringi, stringr, tidyr, tidyselect, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: false
NeedsCompilation: no
Packaged: 2026-01-19 17:00:12 UTC; etien
Author: Etienne Camenen [aut, cre]
Maintainer: Etienne Camenen <etienne.camenen@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-23 14:10:11 UTC

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New package b32 with initial version 0.1.0
Package: b32
Title: Fast and Vectorized Base32 Encoding
Version: 0.1.0
Description: Fast, dependency free, and vectorized base32 encoding and decoding. 'b32' supports the Crockford, Z, RFC 4648 lower, hex, and lower hex alphabets.
License: MIT + file LICENSE
URL: https://github.com/extendr/b32, http://extendr.rs/b32/
Depends: R (>= 4.2)
Suggests: blob, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.65.0, xz
NeedsCompilation: yes
Packaged: 2026-01-19 18:51:47 UTC; josiahparry
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-23 14:40:12 UTC

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Thu, 22 Jan 2026

New package SurveyStat with initial version 1.0.3
Package: SurveyStat
Title: Survey Data Cleaning, Weighting and Analysis
Version: 1.0.3
Description: Provides utilities for cleaning survey data, computing weights, and performing descriptive statistical analysis. Methods follow Lohr (2019, ISBN:978-0367272454) "Sampling: Design and Analysis" and Lumley (2010) <doi:10.1002/9780470580066>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: dplyr, ggplot2, rlang, stats
Suggests: knitr, rmarkdown, markdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-19 05:21:43 UTC; HP Computers
Author: Muhammad Ali [aut, cre]
Maintainer: Muhammad Ali <aliawan1170@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-22 21:20:02 UTC

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New package NPStability with initial version 0.1.0
Package: NPStability
Title: Rank-Based Stability Index (RSI) for Genotype by Environment Studies
Version: 0.1.0
Description: Provides functions to compute the Rank-Based Stability Index (RSI) for genotype by environment interaction data, along with a genotype plus genotype-by-environment (GGE) style biplot visualization of stability.
Depends: R (>= 4.0)
Imports: dplyr, tidyr, rlang, ggplot2
Suggests: knitr, rmarkdown
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-19 11:27:59 UTC; iasri
Author: Prakash Kumar [aut, cre], Himadri Sekhar Roy [aut], Ranjit Kumar Paul [aut], Md. Yeasin [aut], Sunil Kumar Yadav [aut], Amrit Kumar Paul [aut]
Maintainer: Prakash Kumar <prakash289111@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-22 21:30:12 UTC

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New package MATES with initial version 0.1
Package: MATES
Title: Multi-View Aggregated Two Sample Tests
Version: 0.1
Maintainer: Zexi Cai <zc2626@columbia.edu>
Depends: R (>= 3.3.0)
Description: Implements the Multi-view Aggregated Two-Sample (MATES) test, a powerful nonparametric method for testing equality of two multivariate distributions. The method constructs multiple graph-based statistics from various perspectives (views) including different distance metrics, graph types (nearest neighbor graphs, minimum spanning trees, and robust nearest neighbor graphs), and weighting schemes. These statistics are then aggregated through a quadratic form to achieve improved statistical power. The package provides both asymptotic closed-form inference and permutation-based testing procedures. For methodological details, see Cai and others (2026+) <doi:10.48550/arXiv.2412.16684>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/ZexiCAI/MATES
BugReports: https://github.com/ZexiCAI/MATES/issues
LinkingTo: Rcpp
Imports: Rcpp, ade4, MASS, magrittr
NeedsCompilation: yes
Packaged: 2026-01-19 11:30:37 UTC; Zexi Cai
Author: Zexi Cai [aut, cre] , Mingshuo Liu [aut, ctb] , Wenbo Fei [aut, ctb] , Doudou Zhou [aut, ctb]
Repository: CRAN
Date/Publication: 2026-01-22 21:40:07 UTC

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New package futurize with initial version 0.1.0
Package: futurize
Version: 0.1.0
Title: Parallelize Common Functions via One Magic Function
Description: The futurize() function transpiles calls to sequential map-reduce functions such as base::lapply(), purrr::map(), 'foreach::foreach() %do% { ... }' into concurrent alternatives, providing you with a simple, straightforward path to scalable parallel computing via the 'future' ecosystem <doi:10.32614/RJ-2021-048>. By combining this function with R's native pipe operator, you have an convenient way for speeding up iterative computations with minimal refactoring, e.g. 'lapply(xs, fcn) |> futurize()', 'purrr::map(xs, fcn) |> futurize()', and 'foreach::foreach(x = xs) %do% { fcn(x) } |> futurize()'. Other map-reduce packages that be "futurized" are 'BiocParallel', 'plyr', 'crossmap' packages. There is also support for growing set of domain-specific packages, including 'boot', 'glmnet', 'mgcv', 'lme4', and 'tm'.
License: GPL (>= 3)
URL: https://www.futureverse.org, https://github.com/futureverse/
Depends: R (>= 4.1.0), future (> 1.58.0)
Suggests: future.apply, foreach, doFuture, purrr, furrr, crossmap, plyr, BiocParallel, glmnet, boot, lme4, mgcv, tm, tools, commonmark, base64enc
VignetteBuilder: futurize
Language: en-US
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-18 16:58:50 UTC; hb
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Repository: CRAN
Date/Publication: 2026-01-22 21:10:02 UTC

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New package alphavantagepf with initial version 0.3.2
Package: alphavantagepf
Title: Comprehensive R Wrapper for 'Alphavantage Financial Data' API
Version: 0.3.2
Description: Download 'Alphavantage financial data' <https://www.alphavantage.co/documentation/> to reduced 'data.table' objects. Includes support functions to extract and simplify complex data returned from API calls.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.0.0), data.table, glue (>= 1.1.1), httr (>= 1.2.1), jsonlite (>= 1.5), purrr (>= 1.0), readr (>= 1.1.1), stringr (>= 1.2.0), timeDate (>= 4000.0), lubridate (>= 1.0.0), utils (>= 4.0.0), tidyr (>= 0.6.3)
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/derekholmes0/alphavantagepf
BugReports: https://github.com/derekholmes0/alphavantagepf/issues
NeedsCompilation: no
Packaged: 2026-01-19 13:33:02 UTC; DFH
Author: Derek Holmes [aut, cre, cph], Matt Dancho [ctb]
Maintainer: Derek Holmes <derek@derekholmes.com>
Repository: CRAN
Date/Publication: 2026-01-22 21:40:02 UTC

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New package valytics with initial version 0.3.0
Package: valytics
Title: Statistical Methods for Analytical Method Comparison and Validation
Version: 0.3.0
Description: Provides statistical methods for analytical method comparison and validation studies. Implements Bland-Altman analysis for assessing agreement between measurement methods (Bland & Altman (1986) <doi:10.1016/S0140-6736(86)90837-8>), Passing-Bablok regression for non-parametric method comparison (Passing & Bablok (1983) <doi:10.1515/cclm.1983.21.11.709>), and Deming regression accounting for measurement error in both variables (Linnet (1993) <doi:10.1093/clinchem/39.3.424>). Also includes tools for setting quality goals based on biological variation (Fraser & Petersen (1993) <doi:10.1093/clinchem/39.7.1447>) and calculating Six Sigma metrics. Commonly used in clinical laboratory method validation. Provides publication-ready plots and comprehensive statistical summaries.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: ggplot2, robslopes
Suggests: testthat (>= 3.0.0), knitr (>= 1.43), rmarkdown (>= 2.22)
URL: https://github.com/marcellogr/valytics
BugReports: https://github.com/marcellogr/valytics/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-18 13:52:29 UTC; MarcelloG
Author: Marcello Grassi [aut, cre]
Maintainer: Marcello Grassi <marcello.grassi@tum.de>
Repository: CRAN
Date/Publication: 2026-01-22 21:00:02 UTC

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New package vald.extractor with initial version 0.1.0
Package: vald.extractor
Title: Robust Pipeline for 'VALD' 'ForceDecks' Data Extraction and Analysis
Version: 0.1.0
Description: Provides a robust and reproducible pipeline for extracting, cleaning, and analyzing athlete performance data generated by 'VALD' 'ForceDecks' systems. The package supports batch-oriented data processing for large datasets, standardized data transformation workflows, and visualization utilities for sports science research and performance monitoring. It is designed to facilitate reproducible analysis across multiple sports with comprehensive documentation and error handling.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: readxl, httr, jsonlite, data.table, ggplot2, dplyr, tidyr, stringr, lubridate, valdr, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/praveenmaths89/vald.extractor
BugReports: https://github.com/praveenmaths89/vald.extractor/issues
NeedsCompilation: no
Packaged: 2026-01-17 20:19:56 UTC; apple
Author: Praveen D Chougale [aut, cre], Usha Anathakumar [aut]
Maintainer: Praveen D Chougale <praveenmaths89@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-22 09:40:02 UTC

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New package read.abares with initial version 2.0.0
Package: read.abares
Title: Read Data from the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) and Australian Bureau of Statistics (ABS)
Version: 2.0.0
Description: Download and import agricultural data from the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) <https://www.agriculture.gov.au/abares> and Australian Bureau of Statistics (ABS) <https://www.abs.gov.au>. Data types serviced include spreadsheets, comma separated value (CSV) files, geospatial data including shape files and geotiffs covering topics including broadacre crops, livestock, soil data, commodities and more. Unifies field names and formats for data interoperability making analysis easier by standardising names between data formats. Also simplifies importing geospatial data as well as correcting issues in the geospatial data upon import.
License: MIT + file LICENSE
URL: https://github.com/ropensci/read.abares, https://docs.ropensci.org/read.abares/
BugReports: https://github.com/ropensci/read.abares/issues
Depends: R (>= 4.1.0)
Imports: brio, cli, data.table, fs, htm2txt, httr2, lubridate, purrr, readxl, rlang, sf, stars, stringr, terra, tidync, utils, whoami, withr
Suggests: bit64, knitr, openxlsx, pander, rmarkdown, roxyglobals, skimr, spelling, testthat (>= 3.0.0), zip
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-01-17 04:47:29 UTC; adamsparks
Author: Adam H. Sparks [cre, aut] , Curtin University [fnd, cph] , Grains Research and Development Corporation [fnd, cph] , ROR: <https://ror.org/02xwr1996>), Jacob Wujciak-Jens [ctb] , Nicholas Potter [rev] , Maria Paula Caldas [rev]
Maintainer: Adam H. Sparks <adamhsparks@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-22 09:30:02 UTC

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New package LCPA with initial version 1.0.0
Package: LCPA
Title: A General Framework for Latent Classify and Profile Analysis
Version: 1.0.0
Date: 2026-01-10
Author: Haijiang Qin [aut, cre, cph] , Lei Guo [aut, cph]
Maintainer: Haijiang Qin <haijiang133@outlook.com>
Description: A unified latent class modeling framework that encompasses both latent class analysis (LCA) and latent profile analysis (LPA), offering a one-stop solution for latent class modeling. It implements state-of-the-art parameter estimation methods, including the expectation–maximization (EM) algorithm, neural network estimation (NNE; requires users to have 'Python' and its dependent libraries installed on their computer), and integration with 'Mplus' (requires users to have 'Mplus' installed on their computer). In addition, it provides commonly used model fit indices such as the Akaike information criterion (AIC) and Bayesian information criterion (BIC), as well as classification accuracy measures such as entropy. The package also includes fully functional likelihood ratio tests (LRT) and bootstrap likelihood ratio tests (BLRT) to facilitate model comparison, along with bootstrap-based and observed information matrix-based standard error estimation. Furthermore, it supports the standard thr [...truncated...]
License: GPL-3
Depends: R (>= 4.1.0)
Imports: reticulate, clue, ggplot2, tidyr, dplyr, mvtnorm, Matrix, MASS, MplusAutomation, tidyselect, numDeriv, nloptr, Rcpp (>= 1.0.0)
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Repository: CRAN
Packaged: 2026-01-17 09:40:24 UTC; Haiji
Date/Publication: 2026-01-22 09:40:08 UTC

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New package horsey with initial version 1.0.1
Package: horsey
Title: Access to the 'Lichess' API
Version: 1.0.1
Description: Package that accesses the 'Lichess' API (<https://lichess.org/api>). Supports both authenticated and unauthenticated requests. Basic functionality for game and player analysis.
License: MIT + file LICENSE
URL: https://github.com/kylehamilton/horsey
BugReports: https://github.com/kylehamilton/horsey/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: httr2, jsonlite, tibble, dplyr, stringr, cli, rlang
Suggests: spelling, testthat (>= 3.0.0)
Language: en-US
NeedsCompilation: no
Packaged: 2026-01-16 22:32:05 UTC; kyleh
Author: W. Kyle Hamilton [aut, cre]
Maintainer: W. Kyle Hamilton <kyle.hamilton@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-22 09:20:02 UTC

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New package cycleTrendR with initial version 0.2.0
Package: cycleTrendR
Title: Adaptive Cycle and Trend Analysis for Irregular Time Series
Version: 0.2.0
URL: https://github.com/PietroPiu-labstats/cycleTrendR
Description: Provides adaptive trend estimation, cycle detection, Fourier harmonic selection, bootstrap confidence intervals, change-point detection, and rolling-origin forecasting. Supports LOESS (Locally Estimated Scatterplot Smoothing), GAM (Generalized Additive Model), and GAMM (Generalized Additive Mixed Model), and automatically handles irregular sampling using the Lomb–Scargle periodogram. Methods implemented in this package are described in Cleveland et al. (1990) <doi:10.2307/2289548>, Wood (2017) <doi:10.1201/9781315370279>, and Scargle (1982) <doi:10.1086/160554>.
License: GPL-3
Encoding: UTF-8
Imports: blocklength, fANCOVA, ggplot2, lomb, gridExtra, changepoint, mgcv, dplyr, nortest, nlme, magrittr, tseries
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-01-16 22:25:57 UTC; Pietro
Author: Pietro Piu [aut, cre]
Maintainer: Pietro Piu <pietro.piu.si@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-22 09:20:07 UTC

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New package bertopicr with initial version 0.3.6
Package: bertopicr
Title: Topic Modeling with 'BERTopic'
Version: 0.3.6
Description: Provides topic modeling and visualization by interfacing with the 'BERTopic' library for 'Python' via 'reticulate'. See Grootendorst (2022) <doi:10.48550/arXiv.2203.05794>.
Imports: dplyr, tidyr, purrr, utils, reticulate, stringr, tibble, htmltools, readr, rlang
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: ggplot2, knitr, rmarkdown, tictoc, wordcloud2
SystemRequirements: Python (>= 3.8); BERTopic and Python packages: sentence-transformers, umap-learn, hdbscan, scikit-learn
VignetteBuilder: knitr
URL: https://tpetric7.github.io/bertopicr/
NeedsCompilation: no
Packaged: 2026-01-16 19:19:21 UTC; teodo
Author: Teodor Petric [aut, cre]
Maintainer: Teodor Petric <teodor.petric@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-22 09:00:07 UTC

More information about bertopicr at CRAN
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Wed, 21 Jan 2026

New package visPedigree with initial version 0.7.1
Package: visPedigree
Title: Tidying and Visualizing Animal Pedigrees
Version: 0.7.1
Description: Built on graph theory and the high-performance 'data.table' framework, this package provides a comprehensive suite of tools for tidying, pruning, and visualizing animal pedigrees. By modeling pedigrees as directed acyclic graphs using 'igraph', it ensures robust loop detection, efficient generation assignment, and sophisticated hierarchical layouts. Key features include standardizing pedigree formats, flexible ancestry tracing, and generating legible vector-based PDF graphs. A unique compaction algorithm enables the visualization of massive pedigrees (e.g., in aquaculture selective breeding population) by grouping full-sib families, maintaining structural clarity without overcrowding.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: data.table (>= 1.14.0), igraph (>= 1.3.0), nadiv (>= 2.18.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, devtools
URL: https://github.com/luansheng/visPedigree, https://luansheng.github.io/visPedigree/
BugReports: https://github.com/luansheng/visPedigree/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-16 13:43:11 UTC; luansheng
Author: Sheng Luan [aut, cre]
Maintainer: Sheng Luan <luansheng@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-21 20:10:03 UTC

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New package mupet with initial version 0.1.0
Package: mupet
Title: Multiclass Performance Evaluation Toolkit
Version: 0.1.0
Description: Implementation of custom 'tidymodels' metrics for multi-class prediction models with a single negative class. Currently are implemented macro-average sensitivity and specificity as in Mortaz, Ebrahim (2020) "Imbalance accuracy metric for model selection in multi-class imbalance classification problems” <doi:10.1016/j.knosys.2020.106490> and a generalized weighted Youden index as in Li, D.L., Shen F., Yin Y., Peng J.X and Chen P.Y. (2013) “Weighted Youden index and its two-independent-sample comparison based on weighted sensitivity and specificity” <doi:10.3760/cma.j.issn.0366-6999.20123102>.
License: MIT + file LICENSE
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
URL: https://github.com/astamm/mupet, https://astamm.github.io/mupet/
BugReports: https://github.com/astamm/mupet/issues
Imports: rlang, yardstick
NeedsCompilation: no
Packaged: 2026-01-16 14:36:25 UTC; stamm-a
Author: Lise Bellanger [aut], Manon Simonot [aut], Aymeric Stamm [aut, cre]
Maintainer: Aymeric Stamm <aymeric.stamm@cnrs.fr>
Repository: CRAN
Date/Publication: 2026-01-21 20:10:09 UTC

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New package ggsced with initial version 0.1.6
Package: ggsced
Title: Utilities and Helpers for Single Case Experimental Design (SCED) using 'ggplot2'
Version: 0.1.6
Description: Provides specialized visualization tools for Single-Case Experimental Design (SCED) research using 'ggplot2'. SCED studies are a crucial methodology in behavioral and educational research where individual participants serve as their own controls through carefully designed experimental phases. This package extends 'ggplot2' to create publication-ready graphics with professional phase change lines, support for multiple baseline designs, and styling functions that follow SCED visualization conventions. Key functions include adding phase change demarcation lines to existing plots and formatting axes with broken axis appearance commonly used in single-case research.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: ggplot2, ggh4x, R (>= 3.5.0)
Imports: grid, gtable, assert
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), usethis, tidyverse
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-16 12:49:03 UTC; shawn
Author: Shawn Gilroy [aut, cre, cph]
Maintainer: Shawn Gilroy <sgilroy1@lsu.edu>
Repository: CRAN
Date/Publication: 2026-01-21 20:10:14 UTC

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New package CoxLikelihood with initial version 0.1.0
Package: CoxLikelihood
Title: Robust Likelihood Ratio Test and Confidence Intervals for the Cox Model
Version: 0.1.0
Author: Yongwu Shao [aut, cre, cph]
Maintainer: Yongwu Shao <ywshao@gmail.com>
Description: Calculate the likelihood ratio test p-value and likelihood confidence intervals for misspecified Cox models, as described in Shao and Guo (2025) <doi:10.48550/arXiv.2508.11851>.
Imports: survival
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-16 17:40:13 UTC; oldwo
Repository: CRAN
Date/Publication: 2026-01-21 20:20:08 UTC

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New package softwareRisk with initial version 0.1.0
Package: softwareRisk
Title: Computation of Node and Path-Level Risk Scores in Scientific Models
Version: 0.1.0
Date: 2025-12-24
Maintainer: Arnald Puy <arnald.puy@pm.me>
Description: It leverages the network-like architecture of scientific models together with software quality metrics to identify chains of function calls that are more prone to generating and propagating errors. It operates on tbl_graph objects representing call dependencies between functions (callers and callees) and computes risk scores for individual functions and for paths (sequences of function calls) based on cyclomatic complexity, in-degree and betweenness centrality. The package supports variance-based uncertainty and sensitivity analyses after Puy et al. (2022) <doi:10.18637/jss.v102.i05> to assess how risk scores change under alternative risk definitions.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: dplyr, ggplot2, ggraph, igraph, ineq, purrr, scales, tibble, tidygraph, grid, stats, utils, rlang, data.table, sensobol
Suggests: knitr, rmarkdown, spelling
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
Language: en-US
NeedsCompilation: no
Packaged: 2026-01-16 11:40:45 UTC; arnaldpuy
Author: Arnald Puy [aut, cre]
Repository: CRAN
Date/Publication: 2026-01-21 19:50:02 UTC

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New package rsixel with initial version 0.0.4
Package: rsixel
Title: Encoding and Decoding Sixel Images
Version: 0.0.4
Description: Provides a native R implementation for encoding and decoding 'sixel' graphics (<https://vt100.net/docs/vt3xx-gp/chapter14.html>), and a dedicated 'sixel' graphics device that allows plots to be rendered directly within compatible terminal emulators.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: png
Suggests: jpeg, magick
NeedsCompilation: yes
Packaged: 2026-01-15 18:57:27 UTC; fanix
Author: Weifan Lv [aut, cre]
Maintainer: Weifan Lv <lvweifan@pku.edu.cn>
Repository: CRAN
Date/Publication: 2026-01-21 19:10:02 UTC

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New package outstandR with initial version 1.0.0
Package: outstandR
Title: Model-Based Standardisation for Indirect Treatment Comparison with Limited Subject-Level Data
Version: 1.0.0
Description: For the problem of indirect treatment comparison with limited subject-level data, this package provides tools for model-based standardisation with several different computation approaches. See Remiro‐Azócar A, Heath A, Baio G (2022) "Parametric G‐computation for compatible indirect treatment comparisons with limited individual patient data", Res. Synth. Methods, 1–31. ISSN 1759-2879, <doi:10.1002/jrsm.1565>.
License: GPL (>= 3)
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: boot, cli, copula, crayon, dplyr, ggplot2, glue, pillar, purrr, rlang, rstanarm, stats, stringr, tibble, tidyr, tidyselect, Rdpack (>= 0.7)
Suggests: causaldata, doSNOW, gridExtra, here, knitr, maicplus, marginaleffects, MASS, parallel, reshape2, rmarkdown, stdReg2, testthat (>= 3.0.0)
URL: https://StatisticsHealthEconomics.github.io/outstandR/
BugReports: https://github.com/StatisticsHealthEconomics/outstandR/issues/
LazyData: false
NeedsCompilation: no
Packaged: 2026-01-16 12:24:42 UTC; n8than
Author: Nathan Green [aut, cre, cph] , Chengyang Gao [aut], Antonio Remiro-Azocar [aut]
Maintainer: Nathan Green <n.green@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2026-01-21 20:00:02 UTC

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New package NAVAECI with initial version 0.1.1
Package: NAVAECI
Title: Non-Asymptotically Valid and Asymptotically Exact (NAVAE) Confidence Intervals
Version: 0.1.1
Description: Implements the non-asymptotically valid and asymptotically exact confidence intervals in two cases: estimation of the mean, and estimation of (a linear combination of) the coefficients in a linear regression model, following (Derumigny, Girard and Guyonvarch, 2025) <doi:10.48550/arXiv.2507.16776>.
License: GPL-3
Encoding: UTF-8
Imports: BoundEdgeworth, expm
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-01-16 12:43:11 UTC; aderumigny
Author: Alexis Derumigny [aut, cre] , Lucas Girard [aut], Yannick Guyonvarch [aut]
Maintainer: Alexis Derumigny <a.f.f.derumigny@tudelft.nl>
Repository: CRAN
Date/Publication: 2026-01-21 20:00:13 UTC

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New package evidenceratio with initial version 0.1.0
Package: evidenceratio
Title: Likelihood-Based Evidence Ratios for Classical Statistical Tests
Version: 0.1.0
License: MIT + file LICENSE
Language: en-GB
Description: Implements likelihood-based evidence ratios for unified reporting in classical statistical testing. The package reports effect estimates, uncertainty intervals, and likelihood ratios on the log 10 scale derived from a single statistical model. It applies to standard normal mean tests, contingency tables, and regression coefficients, and provides a direct evidential measure while retaining classical error guarantees. For the Evidence Ratio Reporting Standard see Lawless (2026) <doi:10.5281/zenodo.18261076>.
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: stats
Suggests: testthat (>= 3.1.0), waldo (>= 0.5.0), knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-16 12:33:45 UTC; akira
Author: Dylan Lawless [aut, cre, cph]
Maintainer: Dylan Lawless <admin@switzerlandomics.ch>
Repository: CRAN
Date/Publication: 2026-01-21 20:00:08 UTC

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New package col2hex2col with initial version 0.3.1
Package: col2hex2col
Title: Convert Between Color Names and Hex Codes
Version: 0.3.1
Description: Provides simple functions to convert between color names and hexadecimal color codes using an extensive database of over 32,000 colors. Includes all 657 R built-in colors plus the comprehensive color-names database. The package supports bidirectional conversion with backward compatibility, prioritizing R colors when available.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), gt
Depends: R (>= 3.5.0)
URL: https://github.com/AnttiRask/col2hex2col
BugReports: https://github.com/AnttiRask/col2hex2col/issues
NeedsCompilation: no
Packaged: 2026-01-15 18:32:32 UTC; antti
Author: Antti Rask [aut, cre]
Maintainer: Antti Rask <anttilennartrask@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-21 19:10:14 UTC

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New package BioThermR with initial version 0.1.0
Package: BioThermR
Title: Standardized Processing and Analysis of Thermal Imaging Data in Animal Studies
Version: 0.1.0
Description: A modular framework for standardized analysis of thermal imaging data in animal experimentation. The package integrates thermographic data import (FLIR, raw, CSV), automated region of interest (ROI) segmentation based on 'EBImage' (Pau et al., 2010 <doi:10.1093/bioinformatics/btq046>), interactive ROI refinement, and high-throughput batch processing.
URL: https://github.com/RightSZ/BioThermR, https://rightsz.github.io/BioThermR/
BugReports: https://github.com/RightSZ/BioThermR/issues
Depends: R (>= 4.1.0)
License: GPL (>= 3)
Encoding: UTF-8
Imports: EBImage, ggplot2, ggrepel, ggsci, plotly, shiny, stats, Thermimage
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-16 08:16:14 UTC; libeihao
Author: BeiHao Li [aut, cre]
Maintainer: BeiHao Li <szright2000@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-21 19:40:02 UTC

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New package bifrost with initial version 0.1.3
Package: bifrost
Title: Branch-Level Inference Framework for Recognizing Optimal Shifts in Traits
Version: 0.1.3
Description: Methods for detecting and visualizing cladogenic shifts in multivariate trait data on phylogenies. Implements penalized-likelihood multivariate generalized least squares models, enabling analyses of high-dimensional trait datasets and large trees via searchOptimalConfiguration(). Includes a greedy step-wise shift-search algorithm following approaches developed in Smith et al. (2023) <doi:10.1111/nph.19099> and Berv et al. (2024) <doi:10.1126/sciadv.adp0114>. Methods build on multivariate GLS approaches described in Clavel et al. (2019) <doi:10.1093/sysbio/syy045> and implemented in the mvgls() function from the 'mvMORPH' package. Documentation and vignettes are available at <https://jakeberv.com/bifrost/>, including the introductory vignette at <https://jakeberv.com/bifrost/articles/jaw-shape-vignette.html>.
License: GPL (>= 2)
Encoding: UTF-8
URL: https://jakeberv.com/bifrost/, https://github.com/jakeberv/bifrost
BugReports: https://github.com/jakeberv/bifrost/issues
Depends: R (>= 4.1)
Imports: ape, future, future.apply, phytools, grDevices, stats, mvMORPH, viridis, txtplot
Suggests: HDInterval, RColorBrewer, boot, classInt, evd, fitdistrplus, knitr, palaeoverse, parallel, patchwork, pbmcapply, phylolm, readxl, rmarkdown, scales, testthat (>= 3.0.0), univariateML, spelling, htmltools
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-01-15 21:51:32 UTC; cotinga
Author: Jacob S. Berv [aut, cre, cph, fnd] , Nathan Fox [aut] , Matthew J. Thorstensen [aut] , Henry Lloyd-Laney [aut] , Emily M. Troyer [aut] , Stephen A. Smith [aut, fnd] , Matt Friedman [aut, fnd] , David F. Fouhey [aut, fnd] , Brian C. Weeks [aut, fnd]
Maintainer: Jacob S. Berv <jacob.berv@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-21 19:10:19 UTC

More information about bifrost at CRAN
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New package quartify with initial version 1.1.1
Package: quartify
Title: Convert R Scripts to 'Quarto' Markdown Documents
Version: 1.1.1
Description: Converts R scripts (.R) into 'Quarto' markdown documents (.qmd) with automatic formatting. Recognizes 'RStudio' code sections, preserves comments as narrative text, extracts metadata from special comments, and provides both programmatic functions and an interactive 'RStudio' add-in for easy conversion.
Language: en-US
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://ddotta.github.io/quartify/, https://github.com/ddotta/quartify
BugReports: https://github.com/ddotta/quartify/issues
Imports: rstudioapi, cli, shiny, miniUI, later, base64enc, shinyFiles, quarto, utils, styler, lintr
Suggests: testthat (>= 3.0.0), dplyr, shinyalert
NeedsCompilation: no
Packaged: 2026-01-15 08:51:44 UTC; damien.dotta
Author: Damien Dotta [aut, cre, cph]
Maintainer: Damien Dotta <damien.dotta@live.fr>
Repository: CRAN
Date/Publication: 2026-01-21 18:50:02 UTC

More information about quartify at CRAN
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New package Open.Visualization.Academy with initial version 1.0.0
Package: Open.Visualization.Academy
Title: Content to Support Classes Taught Through the Open Visualization Academy
Version: 1.0.0
Description: This contains functions and data used by the Open Visualization Academy classes on data processing and visualization. The tutorial included with this package requires the 'gradethis' package which can be installed using "remotes::install_github('rstudio/gradethis')".
License: AGPL (>= 3)
Encoding: UTF-8
Suggests: dplyr, gradethis, gtsummary (>= 2.0.3), htmltools, kableExtra, learnr, quarto, rmarkdown, roxygen2, sortable, testthat (>= 3.0.0), tibble
VignetteBuilder: quarto
SystemRequirements: quarto
Imports: cli, clipr, hms, knitr, rlang (>= 1.1.0)
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-15 13:51:03 UTC; raymondbalise
Author: Raymond Balise [aut, cre] , Kyle Grealis [aut] , Ricky Lei [ctb] , Gabriel Odom [ctb]
Maintainer: Raymond Balise <balise@miami.edu>
Repository: CRAN
Date/Publication: 2026-01-21 19:00:09 UTC

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New package GCubeR with initial version 0.1.3
Package: GCubeR
Title: Estimation of Forest Volume, Biomass, and Carbon
Version: 0.1.3
Description: Provides tools for estimating forest metrics such as stem volume, biomass, and carbon using regional allometric equations. The package implements widely used models including Dagnelie P., Rondeux J. & Palm R. (2013, ISBN:9782870161258) "Cubage des arbres et des peuplements forestiers - Tables et equations" <https://orbi.uliege.be/handle/2268/155356>, Vallet P., Dhote J.-F., Le Moguedec G., Ravart M. & Pignard G. (2006) "Development of total aboveground volume equations for seven important forest tree species in France" <doi:10.1016/j.foreco.2006.03.013>, Pauwels D. & Rondeux J. (1999, ISSN:07779992) "Tarifs de cubage pour les petits bois de meleze (Larix sp.) en Ardenne" <https://orbi.uliege.be/handle/2268/96128>, Massenet J.-Y. (2006) "Chapitre IV: Estimation du volume" <https://jymassenet-foret.fr/cours/dendrometrie/Coursdendrometriepdf/Dendro4-2009.pdf>, France Valley (2025) "Bilan Carbone Forestier - Methodologie" <https://www.france-valley.co [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, ggplot2, magrittr, readr, tidyr
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr, kableExtra
NeedsCompilation: no
Packaged: 2026-01-15 11:38:43 UTC; david
Author: Juliette Defontaine [aut], David Linchant [aut, cre], Samuel Douin [aut], Timon Luizi [aut], Pierre Bosman [aut]
Maintainer: David Linchant <david.linchant@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-21 19:00:15 UTC

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Tue, 20 Jan 2026

New package smbdata with initial version 0.2.0
Package: smbdata
Title: Data from "Statistical Methods in Biology"
Version: 0.2.0
Description: All data in the book "Statistical Methods in Biology" by Welham et al. (2015) <doi:10.1201/b17336> with a corresponding documentation and illustrative analysis of the data.
Encoding: UTF-8
LazyData: true
URL: https://github.com/emitanaka/smbdata, http://emitanaka.org/smbdata/
BugReports: https://github.com/emitanaka/smbdata/issues
Depends: R (>= 4.1.0)
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2026-01-15 02:41:38 UTC; emitanaka
Author: Emi Tanaka [aut, cre] , Sue Welham [ctb, cph], Salvador Gezan [ctb], Suzanne Clark [ctb], Andrew Mead [ctb]
Maintainer: Emi Tanaka <dr.emi.tanaka@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-20 10:40:02 UTC

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New package SDGLM with initial version 0.4.0
Package: SDGLM
Title: Scalable Bayesian Inference for Dynamic Generalized Linear Models
Version: 0.4.0
Description: Implements scalable Markov chain Monte Carlo (Sca-MCMC) algorithms for Bayesian inference in dynamic generalized linear models (DGLMs). The package supports Pareto-type and Gamma-type DGLMs, which are suitable for modeling heavy-tailed phenomena such as wealth allocation and financial returns. It provides simulation tools for synthetic DGLM data, adaptive mutation-rate strategies (ScaI, ScaII, ScaIII), geometric temperature ladders for parallel tempering, and posterior predictive evaluation metrics (e.g., R2, RMSE). The methodology is based on the scalable MCMC framework described in Guo et al. (2025).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, MASS, utils
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Author: Guangbao Guo [aut, cre], X. Meggie Wen [aut], Lixing Zhu [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Repository: CRAN
Date/Publication: 2026-01-20 10:50:11 UTC
Packaged: 2026-01-12 12:00:51 UTC; 86188

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New package plausibounds with initial version 1.0.1
Package: plausibounds
Title: Plausible Bounds for Treatment Path Estimates
Version: 1.0.1
Description: Enhances dynamic effect plots as suggested in Freyaldenhoven and Hansen (2026) <https://simonfreyaldenhoven.github.io/papers/Plausible_bounds.pdf>. Data-driven smoothing delivers a smooth estimated path with potentially improved point estimation properties and confidence regions covering a surrogate that can be substantially tighter than conventional pointwise or uniform bands.
License: MIT + file LICENSE
Depends: R (>= 3.5)
Imports: dplyr, ggplot2, Matrix, MASS, magrittr, cli
Suggests: knitr, rmarkdown, doParallel, foreach, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
URL: https://github.com/SimonFreyaldenhoven/plausibounds
BugReports: https://github.com/SimonFreyaldenhoven/plausibounds/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-14 17:19:36 UTC; C1RAK01
Author: Simon Freyaldenhoven [aut, cph], Christian Hansen [aut, cph], Ryan Kobler [aut, cre, cph]
Maintainer: Ryan Kobler <kobleary@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-20 10:30:02 UTC

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New package NAPrior with initial version 0.1.1
Package: NAPrior
Title: Network Meta-Analytic Predictive Prior for Mid-Trial SoC Changes
Version: 0.1.1
Description: Implements the Network meta-Analytic Predictive (NAP) prior framework to accommodate changes in the standard of care (SoC) during ongoing randomized controlled trials (RCTs). The method synthesizes pre- and post-change in-trial data by leveraging external evidence, particularly head-to-head trials comparing the original and new standards of care, to bridge the two evidence periods and enable principled borrowing. The package provides utilities to construct NAP-based priors and perform Bayesian inference for time-to-event endpoints using summarized trial evidence.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: stats, graphics, survival, R2jags, metafor, purrr, dplyr, tibble
Suggests: rjags, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-15 03:05:29 UTC; czhang12
Author: Chunyi Zhang [aut, cre]
Maintainer: Chunyi Zhang <czhang12@mdanderson.org>
Repository: CRAN
Date/Publication: 2026-01-20 10:40:09 UTC

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New package hexify with initial version 0.3.3
Package: hexify
Title: Equal-Area Hex Grids on the 'Snyder' 'ISEA' 'Icosahedron'
Version: 0.3.3
Description: Provides functions to build and use equal-area hexagonal discrete global grids using the 'Snyder' 'ISEA' projection ('Snyder' 1992 <doi:10.3138/27H7-8K88-4882-1752>). Implements the 'ISEA' discrete global grid system ('Sahr', 'White' and 'Kimerling' 2003 <doi:10.1559/152304003100011090>). Includes a fast 'C++' core for projection and aperture quantization, and 'sf'/'terra'-compatible R wrappers for grid generation and coordinate assignment. Output is compatible with 'dggridR' for interoperability.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), lifecycle, knitr, rmarkdown, terra, raster, ggplot2, RColorBrewer, rnaturalearth, tibble, gridExtra
VignetteBuilder: knitr
LinkingTo: Rcpp
Imports: sf, Rcpp, methods, rlang
URL: https://gillescolling.com/hexify/
BugReports: https://github.com/gcol33/hexify/issues
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: yes
Packaged: 2026-01-14 15:09:00 UTC; Gilles Colling
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-20 10:10:03 UTC

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New package couplr with initial version 1.0.6
Package: couplr
Title: Optimal Pairing and Matching via Linear Assignment
Version: 1.0.6
Description: Solves optimal pairing and matching problems using linear assignment algorithms. Provides implementations of the Hungarian method (Kuhn 1955) <doi:10.1002/nav.3800020109>, Jonker-Volgenant shortest path algorithm (Jonker and Volgenant 1987) <doi:10.1007/BF02278710>, Auction algorithm (Bertsekas 1988) <doi:10.1007/BF02186476>, cost-scaling (Goldberg and Kennedy 1995) <doi:10.1007/BF01585996>, scaling algorithms (Gabow and Tarjan 1989) <doi:10.1137/0218069>, push-relabel (Goldberg and Tarjan 1988) <doi:10.1145/48014.61051>, and Sinkhorn entropy-regularized transport (Cuturi 2013) <doi:10.48550/arxiv.1306.0895>. Designed for matching plots, sites, samples, or any pairwise optimization problem. Supports rectangular matrices, forbidden assignments, data frame inputs, batch solving, k-best solutions, and pixel-level image morphing for visualization. Includes automatic preprocessing with variable health checks, multiple scaling methods (standardized, [...truncated...]
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 1.0.0), tibble (>= 3.0.0), dplyr (>= 1.0.0), rlang (>= 0.4.0), purrr (>= 0.3.0), magrittr (>= 2.0.0), methods
Suggests: testthat (>= 3.0.0), xml2, e1071, R.utils, microbenchmark, withr, knitr, rmarkdown, bench, parallel, future (>= 1.20.0), future.apply (>= 1.8.0), ggplot2, ggraph, tidygraph, magick, OpenImageR, farver, av, reticulate, png, combinat
LinkingTo: Rcpp, RcppEigen, testthat
SystemRequirements: C++17
LazyData: true
VignetteBuilder: knitr
URL: https://gillescolling.com/couplr/, https://github.com/gcol33/couplr
BugReports: https://github.com/gcol33/couplr/issues
NeedsCompilation: yes
Packaged: 2026-01-14 21:35:36 UTC; Gilles Colling
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-20 10:30:13 UTC

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Mon, 19 Jan 2026

New package wrds with initial version 0.0.1
Package: wrds
Title: Access 'Wharton Research Data Services' ('WRDS')
Version: 0.0.1
Description: Provides simple functions for accessing data from 'Wharton Research Data Services' ('WRDS'), a widely used financial database in academic research. Includes credential management via the system keyring, database tools, and functions for downloading generic tables, 'Compustat' fundamentals, and linking tables.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/statzhero/wrds
BugReports: https://github.com/statzhero/wrds/issues
Suggests: testthat (>= 3.0.0), withr
Imports: cli, DBI, dbplyr, dplyr, keyring, rlang, RPostgres, tidylog
NeedsCompilation: no
Packaged: 2026-01-14 02:23:14 UTC; rico
Author: Ulrich Atz [aut, cre, cph]
Maintainer: Ulrich Atz <ulrich.atz@unibocconi.it>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-01-19 18:20:02 UTC

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New package wklsr with initial version 0.2.5
Package: wklsr
Title: Well-Known Locations in R
Version: 0.2.5
Description: Makes it easy to find global administrative boundaries from countries to cities using readable, 'chainable' R syntax. Fetches geometries from Overture Maps Foundation data. Ported from <https://github.com/wherobots/wkls>.
License: Apache License (>= 2)
Encoding: UTF-8
Suggests: curl, jsonlite, testthat (>= 3.0.0)
Imports: DBI, duckdb, utils
NeedsCompilation: no
Packaged: 2026-01-14 08:04:28 UTC; tedba
Author: Ted Banken [aut, cre]
Maintainer: Ted Banken <tedbanken@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-19 18:30:02 UTC

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New package sumExtras with initial version 0.2.0
Package: sumExtras
Title: Extra Functions for 'gtsummary' Table Styling
Version: 0.2.0
Description: Provides additional convenience functions for 'gtsummary' (Sjoberg et al. (2021) <doi:10.32614/RJ-2021-053>) & 'gt' tables, including automatic variable labeling from dictionaries, standardized missing value display, and consistent formatting helpers for streamlined table styling workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: broom (>= 1.0.5), broom.helpers (>= 1.20.0), ggplot2, knitr, labelled, quarto, scales, survey, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
Imports: dplyr, gt (>= 0.9.0), gtsummary (>= 1.7.0), purrr, rlang
URL: https://github.com/kyleGrealis/sumExtras
BugReports: https://github.com/kyleGrealis/sumExtras/issues
NeedsCompilation: no
Packaged: 2026-01-13 19:18:25 UTC; kyle
Author: Kyle Grealis [aut, cre] , Raymond Balise [ctb]
Maintainer: Kyle Grealis <kyleGrealis@proton.me>
Repository: CRAN
Date/Publication: 2026-01-19 18:20:07 UTC

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New package spCF with initial version 0.1.0
Package: spCF
Title: Coarse-to-Fine Spatial Modeling
Version: 0.1.0
Imports: FNN, fields, nloptr, dbscan, ranger, withr
Suggests: sp, sf, knitr, rmarkdown
Description: Provides functions for coarse-to-fine spatial modeling (CFSM), enabling fast spatial prediction, regression, and uncertainty quantification. For further details, see Murakami et al. (2025) <doi:10.48550/arXiv.2510.00968>.
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-14 14:44:11 UTC; dmuraka
Author: Daisuke Murakami [aut, cre], Alexis Comber [aut], Takahiro Yoshida [aut], Narumasa Tsutsumida [aut], Chris Brunsdon [aut], Tomoki Nakaya [aut]
Maintainer: Daisuke Murakami <dmuraka@ism.ac.jp>
Repository: CRAN
Date/Publication: 2026-01-19 18:50:02 UTC

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New package nivo.bubblechart with initial version 0.1.1
Package: nivo.bubblechart
Title: Interactive Bubble Charts for 'Shiny' Using 'Nivo'
Version: 0.1.1
Description: Creates interactive bubble chart visualizations for 'Shiny' applications using the 'Nivo' circle packing library. Provides an 'htmlwidgets' wrapper around the 'Nivo' circle packing chart, enabling hierarchical data visualization with customizable colors, labels, and interactive features including click and hover events. For more information about 'Nivo', see <https://nivo.rocks/>.
License: MIT + file LICENSE
URL: https://github.com/DataRacerEdu/nivo.bubblechart
BugReports: https://github.com/DataRacerEdu/nivo.bubblechart/issues
Encoding: UTF-8
Imports: htmltools, htmlwidgets, jsonlite, reactR
Suggests: knitr, rmarkdown, shiny, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-14 09:55:34 UTC; anastasiia
Author: Anastasiia Kostiv [aut, cre]
Maintainer: Anastasiia Kostiv <akostiv11@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-19 18:40:02 UTC

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New package mrangr with initial version 1.0.0
Package: mrangr
Title: Mechanistic Metacommunity Simulator
Version: 1.0.0
Description: Flexible, mechanistic, and spatially explicit simulator of metacommunities. It extends our previous package - 'rangr' (see <https://github.com/ropensci/rangr>), which implemented a mechanistic virtual species simulator integrating population dynamics and dispersal. The 'mrangr' package adds the ability to simulate multiple species interacting through an asymmetric matrix of pairwise relationships, allowing users to model all types of biotic interactions — competitive, facilitative, or neutral — within spatially explicit virtual environments.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: assertthat, FieldSimR, graphics, grDevices, gstat, methods, mgcv, parallel, rangr, RColorBrewer, stats, terra, utils
Suggests: bookdown, knitr, rmarkdown, testthat (>= 3.0.0), tools
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-13 19:52:36 UTC; katar
Author: Katarzyna Markowska [aut, cre, cph], Lechoslaw Kuczynski [aut, cph]
Maintainer: Katarzyna Markowska <katarzyna.markowska@amu.edu.pl>
Repository: CRAN
Date/Publication: 2026-01-19 18:20:13 UTC

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New package flexCountReg with initial version 0.1.1
Package: flexCountReg
Title: Estimation of a Variety of Count Regression Models
Version: 0.1.1
Maintainer: Jonathan Wood <jwood2@iastate.edu>
Description: An implementation of multiple regression models for count data. These include various forms of the negative binomial (NB-1, NB-2, NB-P, generalized negative binomial, etc.), Poisson-Lognormal, other compound Poisson distributions, the Generalized Waring model, etc. Information on the different forms of the negative binomial are described by Greene (2008) <doi:10.1016/j.econlet.2007.10.015>. For treatises on count models, see Cameron and Trivedi (2013) <doi:10.1017/CBO9781139013567> and Hilbe (2012) <doi:10.1017/CBO9780511973420>. For the implementation of under-reporting in count models, see Wood et al. (2016) <doi:10.1016/j.aap.2016.06.013>. For prediction methods in random parameter models, see Wood and Gayah (2025) <doi:10.1016/j.aap.2025.108147>. For estimating random parameters using maximum simulated likelihood, see Greene and Hill (2010) <doi:10.1108/S0731-9053(2010)26>; Gourieroux and Monfort (1996) <doi:10.1093/0198774753.001.0001>; or [...truncated...]
Imports: broom, cureplots, gsl, gt, knitr, MASS, maxLik, methods, modelr, purrr, randtoolbox, Rcpp (>= 1.0.12), rlang, sandwich, stats, dplyr, stringr, tibble, tidyr, truncnorm, utils
Depends: R (>= 4.1.0)
LinkingTo: Rcpp
SystemRequirements: GNU make
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: spelling, lamW, testthat (>= 3.0.0)
Language: en-US
URL: https://jwood-iastate.github.io/flexCountReg/
NeedsCompilation: yes
Packaged: 2026-01-13 21:55:27 UTC; profwood
Author: Jonathan Wood [aut, cre] , Guillermo Basulto-Elias [aut]
Repository: CRAN
Date/Publication: 2026-01-19 18:20:20 UTC

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New package buoyant with initial version 0.1.0
Package: buoyant
Title: Deploy '_server.yml' Compliant Applications to 'DigitalOcean'
Version: 0.1.0
Description: Provides tools to deploy R web server applications that follow the '_server.yml' standard. This standard allows different R server frameworks ('plumber2', 'fiery', etc.) to be deployed using a common interface. The package supports deployment to 'DigitalOcean' and includes validation tools to ensure '_server.yml' files are correctly formatted.
License: MIT + file LICENSE
URL: https://posit-dev.github.io/buoyant/, https://github.com/posit-dev/buoyant
BugReports: https://github.com/posit-dev/buoyant/issues
Depends: R (>= 4.1.0)
Imports: analogsea (>= 0.9.4), jsonlite, renv, ssh, withr, yaml
Suggests: knitr, quarto, spelling, testthat (>= 3.1.0)
VignetteBuilder: quarto
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-01-14 14:58:18 UTC; barret
Author: Barret Schloerke [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Barret Schloerke <barret@posit.co>
Repository: CRAN
Date/Publication: 2026-01-19 18:50:06 UTC

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New package VennItem with initial version 1.0.0
Package: VennItem
Title: Generate Venn Diagrams with Items Listed in the Sections
Version: 1.0.0
Description: Generate Venn diagrams with the items listed in appropriate sections, supporting multiple columns for long lists.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, ggforce, stringr, scales
URL: https://github.com/microbialman/VennItem
BugReports: https://github.com/microbialman/VennItem/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-01-13 17:28:30 UTC; mjacksonwood
Author: Matthew Jackson-Wood [aut, cre]
Maintainer: Matthew Jackson-Wood <mattjackson4@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-19 17:50:12 UTC

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New package vectorialcalculus with initial version 1.0.5
Package: vectorialcalculus
Title: Vector Calculus Tools for Visualization and Analysis
Version: 1.0.5
Maintainer: Julian Mauricio Fajardo <julian.fajardo1908@gmail.com>
Description: Provides pedagogical tools for visualization and numerical computation in vector calculus. Includes functions for parametric curves, scalar and vector fields, gradients, divergences, curls, line and surface integrals, and dynamic 2D/3D graphical analysis to support teaching and learning. The implemented methods follow standard treatments in vector calculus and multivariable analysis as presented in Marsden and Tromba (2011) <ISBN:9781429215084>, Stewart (2015) <ISBN:9781285741550>, Thomas, Weir and Hass (2018) <ISBN:9780134438986>, Larson and Edwards (2016) <ISBN:9781285255869>, Apostol (1969) <ISBN:9780471000051>, Spivak (1971) <ISBN:9780805390216>, Schey (2005) <ISBN:9780071369080>, Colley (2019) <ISBN:9780321982384>, Lizarazo Osorio (2020) <ISBN:9789585450103>, Sievert (2020) <ISBN:9780367180165>, and Borowko (2013) <ISBN:9781439870791>.
License: MIT + file LICENSE
URL: https://github.com/JulianFajardo1908/vectorialcalculus
BugReports: https://github.com/JulianFajardo1908/vectorialcalculus/issues
Depends: R (>= 4.1.0)
Imports: tibble, stats, utils
Suggests: plotly, pracma, ggplot2, grDevices, purrr, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en
NeedsCompilation: no
Packaged: 2026-01-13 18:08:49 UTC; LENOVO
Author: Julio Lizarazo Osorio [aut], Julian Mauricio Fajardo [aut, cre]
Repository: CRAN
Date/Publication: 2026-01-19 17:50:02 UTC

More information about vectorialcalculus at CRAN
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New package hellodatascience with initial version 0.1.0
Package: hellodatascience
Title: Datasets from the Hello Data Science Book
Version: 0.1.0
Description: Provides datasets used for analysis and visualizations in the open-access Hello Data Science book.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
URL: https://hellodata-science.github.io/hellodatascience/
BugReports: https://github.com/hellodata-science/hellodatascience/issues
NeedsCompilation: no
Packaged: 2026-01-13 17:21:48 UTC; mdogucu
Author: Mine Dogucu [aut, cre] , Catalina Medina [aut] , Alma Castro [aut]
Maintainer: Mine Dogucu <mdogucu@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-19 17:40:02 UTC

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New package deepSTRAPP with initial version 1.0.0
Package: deepSTRAPP
Title: Test for Differences in Diversification Rates over Time
Version: 1.0.0
Description: Employ time-calibrated phylogenies and trait/range data to test for differences in diversification rates over evolutionary time. Extend the STRAPP test from BAMMtools::traitDependentBAMM() to any time step along phylogenies. See inst/COPYRIGHTS for details on third-party code.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/MaelDore/deepSTRAPP, https://maeldore.github.io/deepSTRAPP/
BugReports: https://github.com/MaelDore/deepSTRAPP/issues
Imports: ape (>= 5.8.0), BAMMtools (>= 2.1.12), cladoRcpp (>= 0.15.1), coda (>= 0.19-4.1), cowplot (>= 1.1.3), dplyr (>= 1.1.4), dunn.test (>= 1.3.6), geiger (>= 2.0.11), ggplot2 (>= 3.5.0), methods (>= 4.4.2), phytools (>= 2.0.0), plyr (>= 1.8.9), purrr (>= 1.0.2), qpdf (>= 1.4.1), RColorBrewer (>= 1.1-3), Rcpp (>= 1.0.14), scales (>= 1.3.0), stringr (>= 1.5.1), tidyr (>= 1.3.1)
Depends: R (>= 4.4)
LazyData: true
LazyDataCompression: xz
Suggests: knitr, maps (>= 3.4.2), parallel (>= 4.4.2), BioGeoBEARS (>= 1.1.3), rmarkdown
Additional_repositories: https://maeldore.github.io/drat
LinkingTo: Rcpp
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-01-13 16:22:36 UTC; Mael
Author: Mael Dore [aut, cre, cph] , Dan Rabosky [ctb], Mike Grundler [ctb], Huateng Huang [ctb], Pascal Title [ctb], Liam Revell [ctb], Nicholas J. Matzke [ctb]
Maintainer: Mael Dore <mael.dore@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-19 17:30:02 UTC

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New package fastgeojson with initial version 0.1.2
Package: fastgeojson
Title: High-Performance 'GeoJSON' and 'JSON' Serialization
Version: 0.1.2
Description: Converts R data frames and 'sf' spatial objects into 'JSON' and 'GeoJSON' strings. The core encoders are implemented in 'Rust' using the 'extendr' framework and are designed to efficiently serialize large tabular and spatial datasets. Returns serialized 'JSON' text, allowing applications such as 'shiny' or web APIs to transfer data to client-side 'JavaScript' libraries without additional encoding overhead.
License: MIT + file LICENSE
URL: https://github.com/firstzeroenergy/fastgeojson
BugReports: https://github.com/firstzeroenergy/fastgeojson/issues
SystemRequirements: Cargo (Rust's package manager), rustc
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), jsonlite, sf, leaflet
NeedsCompilation: yes
Packaged: 2026-01-12 22:22:40 UTC; ajori
Author: Alex Jorion [aut, cre], The authors of the dependency Rust crates [ctb]
Maintainer: Alex Jorion <alex.jorion@firstzeroenergy.com>
Repository: CRAN
Date/Publication: 2026-01-19 09:30:02 UTC

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Sun, 18 Jan 2026

New package pacheck with initial version 0.2.2
Package: pacheck
Title: Probabilistic Analysis Check Package
Version: 0.2.2
Maintainer: Xavier Pouwels <x.g.l.v.pouwels@utwente.nl>
Author: Xavier Pouwels [aut, cre, cph]
Description: Investigate (analytically or visually) the inputs and outputs of probabilistic analyses of health economic models using standard health economic visualisation and metamodelling methods.
License: GPL (>= 3)
Imports: assertthat, boot, dplyr, fitdistrplus, flexsurv, ggplot2, glue, gtools, interp, moments, randomForestSRC, reshape2, scales, signal, simsurv, stats, stringi, testthat, tidyr, glmnet, tibble, survival
Encoding: UTF-8
LazyDataCompression: xz
LazyData: true
URL: https://xa4p.github.io/pacheck/, https://github.com/Xa4P/pacheck
Suggests: knitr, rmarkdown
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
BugReports: https://github.com/Xa4P/pacheck/issues
NeedsCompilation: no
Packaged: 2026-01-13 09:08:44 UTC; PouwelsXGLV
Repository: CRAN
Date/Publication: 2026-01-18 11:20:02 UTC

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New package gtakeout with initial version 0.1.0
Package: gtakeout
Title: Extract Data from Google Takeout
Version: 0.1.0
Description: Provides functions to analyze data exported from 'Google Takeout'. The package supports unzipping archives and extracting user review data from Google Business Profile exports into tidy data frames for further analysis.
License: MIT + file LICENSE
Depends: R (>= 4.1)
Encoding: UTF-8
Language: en-US
Imports: dplyr, fs, here, jsonlite, purrr, rlang, stringr, zip
URL: https://github.com/jrosell/gtakeout
BugReports: https://github.com/jrosell/gtakeout/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-01-13 08:56:35 UTC; jordi
Author: Jordi Rosell [aut, cre, cph]
Maintainer: Jordi Rosell <jroselln@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-18 11:20:10 UTC

More information about gtakeout at CRAN
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New package mongolstats with initial version 0.1.0
Package: mongolstats
Title: Mongolian 'NSO' 'PXWeb' Data and Boundaries (Tidy Client)
Version: 0.1.0
Description: A 'tidyverse'-friendly client for the National Statistics Office of Mongolia 'PXWeb' API <https://data.1212.mn/> with helpers to discover tables, variables, and fetch statistical data. Also includes utilities to retrieve Mongolia administrative boundaries (ADM0-ADM2) as 'sf' objects from open sources for mapping and spatial analysis.
Depends: R (>= 4.1.0)
Imports: httr2, jsonlite, tibble, dplyr, purrr, stringr, sf, memoise, cachem, rappdirs, stringi, stringdist, curl
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, pkgdown, roxygen2, lifecycle, pxweb, remotes, httptest2, covr, lintr, styler, future, future.apply, cli, ggplot2, scales, forcats, tidyr, lubridate
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://temuulene.github.io/mongolstats/, https://data.1212.mn/pxweb/
BugReports: https://github.com/temuulene/mongolstats/issues
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2026-01-13 05:37:32 UTC; Temuulen
Author: Temuulen Enebish [aut, cre]
Maintainer: Temuulen Enebish <temuulen@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-18 11:00:02 UTC

More information about mongolstats at CRAN
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New package gglycan with initial version 0.0.3
Package: gglycan
Title: Plot Glycans using 'ggplot2'
Version: 0.0.3
Description: Plot glycans following the Symbol Nomenclature for Glycans (SNFG) using 'ggplot2'. SNFG provides a standardized visual representation of glycan structures.
License: Artistic-2.0
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, ggtangle (>= 0.1.0), ggstar, ggrepel, igraph, rlang, yulab.utils
Suggests: quarto
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2026-01-13 05:19:09 UTC; HUAWEI
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-18 11:00:08 UTC

More information about gglycan at CRAN
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Sat, 17 Jan 2026

New package Westerlund with initial version 0.1.1
Package: Westerlund
Title: Panel Cointegration Tests Based on Westerlund (2007)
Version: 0.1.1
Description: Implements a functional approximation of the four panel cointegration tests developed by Westerlund (2007) <doi:10.1111/j.1468-0084.2007.00477.x>. The tests are based on structural rather than residual dynamics and allow for heterogeneity in both the long-run cointegrating relationship and the short-run dynamics. The package includes logic for automated lag and lead selection via AIC, Bartlett kernel long-run variance estimation, and a bootstrap procedure to handle cross-sectional dependence. It also includes a bootstrapping distribution visualization function for diagnostic purposes.
License: MIT + file LICENSE
URL: https://github.com/bosco-hung/WesterlundTest
BugReports: https://github.com/bosco-hung/WesterlundTest/issues
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices, utils, scales, dplyr, ggplot2, tidyr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-12 23:42:11 UTC; boscohung
Author: Bosco Hung [aut, cre]
Maintainer: Bosco Hung <bosco.hung@st-annes.ox.ac.uk>
Repository: CRAN
Date/Publication: 2026-01-17 20:10:09 UTC

More information about Westerlund at CRAN
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New package RSTr with initial version 1.0.0
Package: RSTr
Title: Gibbs Samplers for Discrete Bayesian Spatiotemporal Models
Version: 1.0.0
Date: 2026-01-08
Maintainer: David DeLara <sfq1@cdc.gov>
URL: https://cehi-code-repos.github.io/RSTr/
Description: Takes Poisson or Binomial discrete spatial data and runs a Gibbs sampler for a variety of Spatiotemporal Conditional Autoregressive (CAR) models. Includes measures to prevent estimate over-smoothing through a restriction of model informativeness for select models. Also provides tools to load output and get median estimates. Implements methods from Besag, York, and Mollié (1991) "Bayesian image restoration, with two applications in spatial statistics" <doi:10.1007/BF00116466>, Gelfand and Vounatsou (2003) "Proper multivariate conditional autoregressive models for spatial data analysis" <doi:10.1093/biostatistics/4.1.11>, Quick et al. (2017) "Multivariate spatiotemporal modeling of age-specific stroke mortality" <doi:10.1214/17-AOAS1068>, and Quick et al. (2021) "Evaluating the informativeness of the Besag-York-Mollié CAR model" <doi:10.1016/j.sste.2021.100420>.
License: GPL (>= 3)
Encoding: UTF-8
LinkingTo: Rcpp (>= 1.1.0), RcppArmadillo (>= 15.2.2.1), RcppDist (>= 0.1.1.1)
Suggests: ggplot2, knitr, rmarkdown, sf, testthat (>= 3.0.0)
Imports: abind, Rcpp (>= 1.1.0), RcppArmadillo (>= 15.2.2.1), RcppDist (>= 0.1.1.1), spdep
Depends: R (>= 4.3.0)
LazyData: true
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2026-01-13 00:49:57 UTC; dave
Author: David DeLara [aut, cre] , Centers for Disease Control and Prevention [aut, cph]
Repository: CRAN
Date/Publication: 2026-01-17 20:10:16 UTC

More information about RSTr at CRAN
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New package eam with initial version 1.0.1
Package: eam
Title: Evidence Accumulation Models
Version: 1.0.1
LinkingTo: Rcpp
Imports: Rcpp, dplyr, tidyr, arrow, rlang, distributional, stats, parallel, codetools, grDevices, graphics, ggplot2, gridExtra, data.table, purrr, scales
Suggests: testthat (>= 3.0.0), pbapply, abc
Description: Simulation-based evidence accumulation models for analyzing responses and reaction times in single- and multi-response tasks. The package includes simulation engines for five representative models: the Diffusion Decision Model (DDM), Leaky Competing Accumulator (LCA), Linear Ballistic Accumulator (LBA), Racing Diffusion Model (RDM), and Levy Flight Model (LFM), and extends these frameworks to multi-response settings. The package supports user-defined functions for item-level parameterization and the incorporation of covariates, enabling flexible customization and the development of new model variants based on existing architectures. Inference is performed using simulation-based methods, including Approximate Bayesian Computation (ABC) and Amortized Bayesian Inference (ABI), which allow parameter estimation without requiring tractable likelihood functions. In addition to core inference tools, the package provides modules for parameter recovery, posterior predictive checks, and model com [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
URL: https://github.com/y-guang/eam
NeedsCompilation: yes
Packaged: 2026-01-12 22:46:13 UTC; spike
Author: Guangyu Zhu [aut] , Guang Yang [aut, cre]
Maintainer: Guang Yang <guang.spike.yang@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-17 20:10:02 UTC

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New package OpenSourceAP.DownloadR with initial version 0.1.0
Package: OpenSourceAP.DownloadR
Title: Download Open Source Asset Pricing (OpenAP) Data Directly
Version: 0.1.0
Description: Convenient download functions enabling access Open Source Asset Pricing (OpenAP) data. This package enables users to download predictor portfolio returns (over 200 cross-sectional predictors with multiple portfolio construction methods) and firm characteristics (over 200 characteristics replicated from the academic asset pricing literature). Center for Research in Security Prices (CRSP)-based variables such as Price, Size, and Short-term Reversal can be downloaded with a Wharton Research Data Services (WRDS, <https://wrds-www.wharton.upenn.edu/>) subscription. For a full list of what is available, see <https://www.openassetpricing.com/>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
Imports: httr, rvest, stringr, jsonlite, magrittr, dplyr, data.table, R6, withr, lubridate, DBI, RPostgres, getPass
NeedsCompilation: no
Packaged: 2026-01-12 16:39:12 UTC; wme889
Author: Tom Zimmermann [aut, cre] , Justus Boeker [ctb]
Maintainer: Tom Zimmermann <tom.zimmermann@uni-koeln.de>
Repository: CRAN
Date/Publication: 2026-01-17 19:50:13 UTC

More information about OpenSourceAP.DownloadR at CRAN
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New package checkCLI with initial version 1.0
Package: checkCLI
Title: 'CLI' Messages for Checkmate Assertions and Checks
Version: 1.0
Description: Providing more beautiful and more meaningful return messages for checkmate assertions and checks helping users to better understand errors.
License: MIT + file LICENSE
Imports: checkmate, cli, glue, purrr, stringr
Encoding: UTF-8
Suggests: knitr, R6, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-12 20:39:35 UTC; luizesser
Author: Reginaldo Re [aut] , Luiz Fernando Esser [aut, cre, cph]
Maintainer: Luiz Fernando Esser <luizesser@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-17 20:00:02 UTC

More information about checkCLI at CRAN
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New package BAQM with initial version 0.1.4
Package: BAQM
Title: Babson Analytics and Quantitative Methods Tools
Version: 0.1.4
Copyright: Copyright Peter Lert, PhD, CFA
Description: Instructor-developed tools for Analytics and Quantitative Methods (AQM) courses at Babson College. Included are compact descriptive statistics for data frames and lists, expanded reporting and graphics for linear regressions, and formatted reports for best subsets analyses.
License: GPL (>= 2)
Depends: R (>= 3.5),
Suggests: leaps, shiny, testthat (>= 3.0.0), utf8, vdiffr, waldo, withr
Encoding: UTF-8
Imports: cowplot, ggplot2, ggrepel, lmtest, stats, utils
URL: https://github.com/CPA-wrk/BAQM, https://cpa-wrk.github.io/BAQM/
BugReports: https://github.com/CPA-wrk/BAQM/issues
NeedsCompilation: no
Packaged: 2026-01-12 20:03:19 UTC; peter
Author: Peter Lert [aut, cre, cph]
Maintainer: Peter Lert <plert@babson.edu>
Repository: CRAN
Date/Publication: 2026-01-17 19:50:17 UTC

More information about BAQM at CRAN
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New package valdrViz with initial version 1.0.0
Package: valdrViz
Title: Visualise and Report 'VALD ForceDecks' Test Results
Version: 1.0.0
Description: Provides a 'shiny' dashboard and plotting utilities to explore and report 'VALD ForceDecks' testing data. Includes interactive modules for metric exploration, radar charts, longitudinal comparisons, quadrant plots, and athlete reports.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
Imports: shiny, bslib, readr, dplyr, ggplot2, tibble, tidyr, zoo, DT, plotly, magrittr, lubridate, RColorBrewer, pagedown, webshot2, shinycssloaders, rlang
NeedsCompilation: no
Packaged: 2026-01-12 01:58:42 UTC; KieranHarrison
Author: Kieran Harrison [aut, cre], VALD Support [ctb], VALD [cph]
Maintainer: Kieran Harrison <k.harrison@vald.com>
Repository: CRAN
Date/Publication: 2026-01-17 11:10:02 UTC

More information about valdrViz at CRAN
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New package tidyweather with initial version 0.1.0
Package: tidyweather
Title: Analysis the Weather Data for Agriculture
Version: 0.1.0
Description: Functions are collected to analyse weather data for agriculture purposes including to read weather records in multiple formats, calculate extreme climate index. Demonstration data are included the SILO daily climate data (licensed under CC BY 4.0, <https://www.longpaddock.qld.gov.au/silo/>).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stringr, tibble, dplyr, settings
Suggests: testthat (>= 3.0.0)
URL: https://tidyweather.bangyou.me/, https://github.com/byzheng/tidyweather
BugReports: https://github.com/byzheng/tidyweather/issues
NeedsCompilation: no
Packaged: 2026-01-12 04:13:13 UTC; zhe00a
Author: Bangou Zheng [aut, cre]
Maintainer: Bangou Zheng <bangyou.zheng@csiro.au>
Repository: CRAN
Date/Publication: 2026-01-17 11:20:02 UTC

More information about tidyweather at CRAN
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New package SportMiner with initial version 0.1.0
Package: SportMiner
Title: Text Mining and Topic Modeling for Sport Science Literature
Version: 0.1.0
Description: A comprehensive toolkit for mining, analyzing, and visualizing scientific literature in sport science domains. Provides functions for retrieving abstracts from 'Scopus', preprocessing text data, performing advanced topic modeling using Latent Dirichlet Allocation ('LDA'), Structural Topic Models ('STM'), and Correlated Topic Models ('CTM'), and creating publication-ready visualizations including keyword co-occurrence networks and topic trends. For methodological details see Blei et al. (2003) <doi:10.1162/jmlr.2003.3.4-5.993> for 'LDA', Roberts et al. (2014) <doi:10.1111/ajps.12103> for 'STM', and Blei and Lafferty (2007) <doi:10.1214/07-AOAS114> for 'CTM'.
License: MIT + file LICENSE
URL: https://github.com/praveenmaths89/SportMiner
BugReports: https://github.com/praveenmaths89/SportMiner/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: rscopus, dplyr, tidytext, topicmodels, stm, ggplot2, rlang, SnowballC, scales, textmineR, Matrix, tidyr, ggraph, igraph, widyr, magrittr, slam
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-12 08:51:13 UTC; apple
Author: Praveen D Chougale [aut, cre], Usha Ananthakumar [aut]
Maintainer: Praveen D Chougale <praveenmaths89@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-17 11:40:02 UTC

More information about SportMiner at CRAN
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New package rsurvstat with initial version 0.1.2
Package: rsurvstat
Title: Download Infectious Disease Data from 'SurvStat' (Robert Koch Institute)
Version: 0.1.2
Description: Provides an interface to the 'SurvStat' web service from the Robert Koch Institute (<https://tools.rki.de/SurvStat/SurvStatWebService.svc>) allowing downloads of disease time series stratified by pathogen type and subtype, age, and geography from notifiable disease reports in Germany.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, ggplot2, testthat
VignetteBuilder: knitr
Imports: dplyr, magrittr, xml2, stringr, tibble, httr, curl, whisker, fs, purrr, tidyr, cli, locfit, rlang, sf
Depends: R (>= 3.5)
LazyData: true
Language: en-GB
LazyDataCompression: xz
URL: https://bristol-vaccine-centre.github.io/rsurvstat/index.html, https://github.com/bristol-vaccine-centre/rsurvstat, https://bristol-vaccine-centre.github.io/rsurvstat/
BugReports: https://github.com/bristol-vaccine-centre/rsurvstat/issues
NeedsCompilation: no
Packaged: 2026-01-12 13:18:52 UTC; vp22681
Author: Robert Challen [aut, cre] , Bristol Vaccine Centre [fnd, cph]
Maintainer: Robert Challen <rob.challen@bristol.ac.uk>
Repository: CRAN
Date/Publication: 2026-01-17 11:50:02 UTC

More information about rsurvstat at CRAN
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New package RFAE with initial version 0.1.0
Package: RFAE
Title: Autoencoding Random Forests
Version: 0.1.0
Maintainer: Binh Duc Vu <vuducbinh2210@gmail.com>
Description: Autoencoding Random Forests ('RFAE') provide a method to autoencode mixed-type tabular data using Random Forests ('RF'), which involves projecting the data to a latent feature space of user-chosen dimensionality (usually a lower dimension), and then decoding the latent representations back into the input space. The encoding stage is useful for feature engineering and data visualisation tasks, akin to how principal component analysis ('PCA') is used, and the decoding stage is useful for compression and denoising tasks. At its core, 'RFAE' is a post-processing pipeline on a trained random forest model. This means that it can accept any trained RF of 'ranger' object type: 'RF', 'URF' or 'ARF'. Because of this, it inherits Random Forests' robust performance and capacity to seamlessly handle mixed-type tabular data. For more details, see Vu et al. (2025) <doi:10.48550/arXiv.2505.21441>.
License: GPL (>= 3)
URL: https://github.com/bips-hb/RFAE
BugReports: https://github.com/bips-hb/RFAE/issues
Depends: R (>= 4.4.0)
Imports: caret, data.table, foreach, Matrix, methods, mgcv, ranger, RANN, RSpectra, stats, tibble
Suggests: arf, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-12 03:28:56 UTC; k21189355
Author: Binh Duc Vu [aut, cre] , Jan Kapar [aut] , Marvin N. Wright [aut] , David S. Watson [aut]
Repository: CRAN
Date/Publication: 2026-01-17 11:20:07 UTC

More information about RFAE at CRAN
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New package provolleyballr with initial version 0.1.0
Package: provolleyballr
Title: Extract Data from US Women's Professional Volleyball Websites
Version: 0.1.0
Maintainer: Jeffrey R. Stevens <jeffrey.r.stevens@protonmail.com>
Description: Tools for scraping match statistics and player data from the Athletes Unlimited (UA) website <https://auprosports.com/volleyball/>, the League One Volleyball website <https://lovb.com>, and the Major League (MLV) website <https://provolleyball.com>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2)
Imports: cli, curl, dplyr, janitor, lifecycle, purrr, rlang, rvest, stringr, selenider
Suggests: chromote, knitr, readr, rmarkdown, testthat (>= 3.0.0), tidyr
SystemRequirements: Google Chrome browser
URL: https://github.com/JeffreyRStevens/provolleyballr
BugReports: https://github.com/JeffreyRStevens/provolleyballr/issues
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-12 01:56:22 UTC; jstevens
Author: Jeffrey R. Stevens [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-01-17 11:10:07 UTC

More information about provolleyballr at CRAN
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New package lavDiag with initial version 0.1.0
Package: lavDiag
Title: Latent Variable Models Diagnostics
Version: 0.1.0
Description: Diagnostics and visualization tools for latent variable models fitted with 'lavaan' (Rosseel, 2012 <doi:10.18637/jss.v048.i02>). The package provides fast, parallel-safe factor-score prediction (lavPredict_parallel()), data augmentation with model predictions, residuals, delta-method standard errors and confidence intervals (augment()), and model-based latent grids for continuous, ordinal, or mixed indicators (prepare()). It offers item-level empirical versus model curve comparison using generalized additive models for both continuous and ordinal indicators (item_data(), item_plot()) via 'mgcv' (Wood, 2017, ISBN:9781498728331), residual diagnostics including residual correlation tables and plots (resid_cor(), resid_corrplot()) using 'corrplot' (Wei and Simko, 2021 <https://github.com/taiyun/corrplot>), and Q–Q checks of residual z-statistics (resid_qq()), optionally with non-overlapping labels from 'ggrepel' (Slowikowski, 2024 <https://CRAN.R-project.org/package=ggrepel& [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/reckak/lavDiag
BugReports: https://github.com/reckak/lavDiag/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: corrplot (>= 0.90), dplyr, furrr, future, future.apply, ggplot2, ggrepel, igraph, lavaan, mgcv, purrr, rlang, stringr, tibble, tidyselect, tidyr, vctrs, visNetwork, withr
Suggests: spelling, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-28 18:11:32 UTC; ddrea
Author: Karel Recka [aut, cre]
Maintainer: Karel Recka <reckak@mail.muni.cz>
Repository: CRAN
Date/Publication: 2026-01-17 11:50:08 UTC

More information about lavDiag at CRAN
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New package EnTraineR with initial version 1.0.0
Package: EnTraineR
Title: Enhanced Teaching Assistant (AI) for Statistical Analysis
Version: 1.0.0
Description: An assistant built on large language models that helps interpret statistical model outputs in R by generating concise, audience-specific explanations.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: ollamar, httr2 (>= 1.0.0)
Suggests: FactoMineR, commonmark, rmarkdown
SystemRequirements: Pandoc (for DOCX/HTML conversion when using rmarkdown)
Depends: R (>= 4.1.0)
URL: https://github.com/Sebastien-Le/EnTraineR
BugReports: https://github.com/Sebastien-Le/EnTraineR/issues
NeedsCompilation: no
Packaged: 2026-01-12 08:06:43 UTC; sebastienle
Author: Sebastien Le [aut, cre]
Maintainer: Sebastien Le <sebastien.le@institut-agro.fr>
Repository: CRAN
Date/Publication: 2026-01-17 11:30:02 UTC

More information about EnTraineR at CRAN
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Fri, 16 Jan 2026

New package Rwbo with initial version 0.1.1
Package: Rwbo
Title: Run the 'Open-WBO' MaxSAT Solver
Version: 0.1.1
Description: Provides a wrapper for running the bundled 'Open-WBO' Maximum Satisfiability (MaxSAT) solver (<https://github.com/sat-group/open-wbo>). Users can pass command-line arguments to the solver and capture its output as a character string or file.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0)
Suggests: testthat (>= 3.0)
NeedsCompilation: yes
Packaged: 2026-01-11 16:01:58 UTC; Matthias
Author: Matthias Ollech [aut, cre], Ruben Martins, Vasco Manquinho, Ines Lynce [cph]
Maintainer: Matthias Ollech <ollech@gmx.com>
Repository: CRAN
Date/Publication: 2026-01-16 11:10:02 UTC

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New package ORscraper with initial version 0.1.0
Package: ORscraper
Title: Extract Information from Clinical Reports from 'Oncomine Reporter' and NCBI 'ClinVar'
Version: 0.1.0
Description: Clinical reports generated by 'Oncomine Reporter' software contain critical data in unstructured PDF format, making manual extraction time-consuming and error-prone. 'ORscraper' provides a coherent suite of functions to automate this process, allowing researchers to parse reports, identify key biomarkers, extract genetic variant tables, and filter results. It also integrates with the NCBI 'ClinVar' API <https://www.ncbi.nlm.nih.gov/clinvar/> to enrich extracted data.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
SystemRequirements: poppler-cpp (>= 0.73)
Imports: pdftools, stringr, readxl, rentrez
Suggests: testthat (>= 3.0.0), rmarkdown, knitr, mockery, spelling
VignetteBuilder: knitr
URL: https://github.com/SamuelGonzalez0204/ORscraper
BugReports: https://github.com/SamuelGonzalez0204/ORscraper/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-01-11 20:39:05 UTC; samug
Author: Samuel Gonzalez [aut, cre] , Antonio Jesus Canepa [ctb] , Patricia Saiz [ctb] , Maria Gonzalez [ctb]
Maintainer: Samuel Gonzalez <samugonz0204@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-16 11:30:24 UTC

More information about ORscraper at CRAN
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New package NeuDist with initial version 1.0.1
Package: NeuDist
Title: Univariate Continuous Distributions with Model Diagnostics
Version: 1.0.1
Description: Implements univariate continuous probability distributions and associated model diagnostics based on the Lindley, Logistic, Half-Cauchy, Half-Logistic, and Poisson families. Provides functions for probability density, cumulative distribution, quantile, and hazard evaluation, random variate generation, and diagnostic procedures including Q-Q and P-P plots, goodness-of-fit tests, and model selection criteria.
Maintainer: Vijay Kumar <vkgkp@rediffmail.com>
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats, graphics, goftest
Author: Vijay Kumar [aut, cre], Laxmi Prasad Sapkota [aut], Pankaj Kumar [aut], Lal Babu Sah [aut]
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-01-11 17:08:02 UTC; vkgkp
Repository: CRAN
Date/Publication: 2026-01-16 11:20:02 UTC

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New package ltc with initial version 0.3.0
Package: ltc
Title: Collection of Artistic and Nature-Inspired Color Palettes
Version: 0.3.0
Description: Offers a variety of color palettes inspired by art, nature, and personal inspirations. Each palette is accompanied by a unique backstory, enriching the understanding and significance of the colors.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/loukesio/ltc-color-palettes
BugReports: https://github.com/loukesio/ltc-color-palettes/issues
Imports: grDevices, ggplot2, ggforce, dplyr, colorspace, crayon
Language: en-US
Suggests: spelling
NeedsCompilation: no
Packaged: 2026-01-11 22:50:03 UTC; theodosiou
Author: Loukas Theodosiou [aut, cre] , Kristian Ullrich [aut]
Maintainer: Loukas Theodosiou <theodosiou@evolbio.mpg.de>
Repository: CRAN
Date/Publication: 2026-01-16 11:30:20 UTC

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New package IPAG with initial version 0.1.0
Package: IPAG
Title: Tools for IPAG Courses
Version: 0.1.0
Description: Provides a collection of intuitive and user-friendly functions for computing confidence intervals for common statistical tasks, including means, differences in means, proportions, and odds ratios. The package also includes tools for linear regression analysis and several real-world datasets intended for teaching and applied statistical inference.
URL: https://github.com/gpiaser/IPAG
BugReports: https://github.com/gpiaser/IPAG/issues
Imports: stats,
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-05 02:53:51 UTC; piaser
Author: Gwenael Piaser [aut, cre]
Maintainer: Gwenael Piaser <piaser@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-01-16 11:30:29 UTC

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New package EmpiricalDynamics with initial version 0.1.2
Package: EmpiricalDynamics
Title: Empirical Discovery of Differential Equations from Time Series Data
Version: 0.1.2
Description: A comprehensive toolkit for discovering differential and difference equations from empirical time series data using symbolic regression. The package implements a complete workflow from data preprocessing (including Total Variation Regularized differentiation for noisy economic data), visual exploration of dynamical structure, and symbolic equation discovery via genetic algorithms. It leverages a high-performance 'Julia' backend ('SymbolicRegression.jl') to provide industrial-grade robustness, physics-informed constraints, and rigorous out-of-sample validation. Designed for economists, physicists, and researchers studying dynamical systems from observational data.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: Julia (>= 1.6)
Depends: R (>= 4.0.0)
Imports: JuliaCall (>= 0.17), CVXR (>= 1.0), minpack.lm (>= 1.2), signal (>= 0.7), lmtest (>= 0.9), tseries (>= 0.10), ggplot2 (>= 3.4.0), gridExtra (>= 2.3), stats, graphics, grDevices, utils, methods
Suggests: osqp (>= 0.6), ECOSolveR (>= 0.5), testthat (>= 3.0.0), knitr (>= 1.40), rmarkdown (>= 2.20), covr, mgcv
VignetteBuilder: knitr
URL: https://github.com/IsadoreNabi/EmpiricalDynamics
BugReports: https://github.com/IsadoreNabi/EmpiricalDynamics/issues
NeedsCompilation: no
Packaged: 2026-01-11 21:28:53 UTC; ROG
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>
Repository: CRAN
Date/Publication: 2026-01-16 11:30:34 UTC

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New package remode with initial version 0.1.0
Package: remode
Title: Recursive Mode Detection for Distributions of Ordinal Data
Version: 0.1.0
Description: Provides the function remode() for recursive modality detection in ordinal data. 'remode' is an algorithm specifically designed to estimate the number and location of modes in ordinal data while being robust to large sample sizes.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: graphics
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-01-11 12:01:57 UTC; Michael
Author: Han van der Maas [aut], Madlen Hoffstadt [aut, cre], Javier Garcia-Bernardo [aut]
Maintainer: Madlen Hoffstadt <madlenfeehoffstadt@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-16 11:00:02 UTC

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New package NMAR with initial version 0.1.1
Package: NMAR
Title: Estimation under not Missing at Random Nonresponse
Version: 0.1.1
Description: Methods to estimate finite-population parameters under nonresponse that is not missing at random (NMAR, nonignorable). Incorporates auxiliary information and user-specified response models, and supports independent samples and complex survey designs via objects from the 'survey' package. Provides diagnostics and optional variance estimates. For methodological background see Qin, Leung and Shao (2002) <doi:10.1198/016214502753479338> and Riddles, Kim and Im (2016) <doi:10.1093/jssam/smv047>.
License: MIT + file LICENSE
URL: https://github.com/ncn-foreigners/NMAR, https://ncn-foreigners.ue.poznan.pl/NMAR/index.html
BugReports: https://github.com/ncn-foreigners/NMAR/issues
Encoding: UTF-8
Imports: stats, nleqslv, utils, generics, Formula
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), numDeriv, survey, svrep, broom, progressr, future, future.apply, spelling
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2026-01-10 15:12:54 UTC; runner
Author: Maciej Beresewicz [aut, cre] , Igor Kolodziej [aut, ctb], Mateusz Iwaniuk [aut, ctb]
Maintainer: Maciej Beresewicz <maciej.beresewicz@ue.poznan.pl>
Repository: CRAN
Date/Publication: 2026-01-16 10:50:02 UTC

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New package ggvolc with initial version 0.1.0
Package: ggvolc
Title: Create Volcano Plots for Differential Gene Expression Data
Version: 0.1.0
Description: Provides functionality to create customizable volcano plots for visualizing differential gene expression analysis results. The package offers options to highlight genes of interest, adjust significance thresholds, customize colors, and add informative labels. Designed specifically for RNA-seq data analysis workflows.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, ggplot2, ggrepel, ggtext, gridExtra, grid
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2026-01-11 12:24:09 UTC; theodosiou
Author: Loukas Theodosiou [aut, cre]
Maintainer: Loukas Theodosiou <theodosiou@evolbio.mpg.de>
Repository: CRAN
Date/Publication: 2026-01-16 11:00:08 UTC

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New package codyna with initial version 0.1.0
Package: codyna
Title: Complex Dynamic Systems
Version: 0.1.0
Description: Performs analysis of complex dynamic systems with a focus on the temporal unfolding of patterns, changes, and state transitions in behavioral data. Supports both time series and sequence data and provides tools for the analysis and visualization of complexity, pattern identification, trends, regimes, sequence typology as well as early warning signals.
License: MIT + file LICENSE
URL: https://github.com/santikka/codyna/
BugReports: https://github.com/santikka/codyna/issues/
Depends: R (>= 4.1.0)
Imports: checkmate, cli, dplyr, ggplot2, patchwork, rlang, stats, tibble, tidyr, tidyselect
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-11 13:47:25 UTC; Santtu
Author: Santtu Tikka [aut, cre], Mohammed Saqr [aut]
Maintainer: Santtu Tikka <santtuth@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-16 11:00:13 UTC

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New package ankiR with initial version 0.1.0
Package: ankiR
Title: Read Anki Flashcard Databases
Version: 0.1.0
Author: Christos Longros [aut, cre]
Maintainer: Christos Longros <chris.longros@gmail.com>
Description: Read and analyze Anki flashcard collection databases. Provides functions to access notes, cards, and review logs from Anki's SQLite database with a tidy interface.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: DBI, RSQLite, tibble
URL: https://github.com/chrislongros/ankiR
BugReports: https://github.com/chrislongros/ankiR/issues
NeedsCompilation: no
Packaged: 2026-01-11 10:31:16 UTC; chris
Repository: CRAN
Date/Publication: 2026-01-16 11:00:19 UTC

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Thu, 15 Jan 2026

New package stddiff.spark with initial version 1.0
Package: stddiff.spark
Title: Calculate the Standardized Difference for Numeric, Binary and Category Variables in Apache Spark
Version: 1.0
Description: Provides functions to compute standardized differences for numeric, binary, and categorical variables on Apache Spark DataFrames using 'sparklyr'. The implementation mirrors the methods used in the 'stddiff' package but operates on distributed data. See Zhicheng Du, Yuantao Hao (2022) <doi:10.32614/CRAN.package.stddiff> for reference.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.1.0), tidyr (>= 1.3.0), sparklyr (>= 1.8.0)
Suggests: stddiff (>= 2.1.0), testthat (>= 3.0.0), withr
SystemRequirements: Apache Spark (tested with 3.4.4)
URL: https://github.com/alicja-januszkiewicz/stddiff.spark
BugReports: https://github.com/alicja-januszkiewicz/stddiff.spark/issues
NeedsCompilation: no
Packaged: 2026-01-10 19:40:09 UTC; alicja
Author: Alicja Januszkiewicz [aut, cre, cph]
Maintainer: Alicja Januszkiewicz <cran.alicja.januszkiewicz@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-15 17:50:01 UTC

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New package PDIndex with initial version 0.1.0
Package: PDIndex
Title: Disease Intensity and Progress Curve Indices for Plant Pathology
Version: 0.1.0
Author: Dr. Pramit Pandit [aut, cre], Dr. Bikramjeet Ghose [aut]
Maintainer: Dr. Pramit Pandit <pramitpandit@gmail.com>
Description: Provides standardised functions for quantifying plant disease intensity and disease development over time. The package implements Percent Disease Index (PDI) for assessing overall disease severity based on categorical ratings, Area Under the Disease Progress Curve (AUDPC) for summarizing disease progression using trapezoidal integration, and Relative AUDPC (rAUDPC) for expressing disease development relative to the maximum possible severity over the observation period. These indices are widely used in plant pathology and epidemiology for comparing treatments, cultivars, and environments.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-10 07:26:42 UTC; Pramit
Repository: CRAN
Date/Publication: 2026-01-15 17:20:02 UTC

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New package orcidtr with initial version 0.1.0
Package: orcidtr
Title: Retrieve Data from the ORCID Public API
Version: 0.1.0
Description: Provides functions to retrieve public data from ORCID (Open Researcher and Contributor ID) records via the ORCID public API. Fetches employment history, education, works (publications, datasets, preprints), funding, peer review activities, and other public information. Returns data as structured data.table objects for easy analysis and manipulation. Replaces the discontinued 'rorcid' package with a modern, CRAN-compliant implementation.
License: MIT + file LICENSE
URL: https://github.com/lorenzoFabbri/orcidtr
BugReports: https://github.com/lorenzoFabbri/orcidtr/issues
Depends: R (>= 4.1.0)
Imports: data.table (>= 1.14.0), httr2 (>= 1.0.0), jsonlite (>= 1.8.0)
Suggests: testthat (>= 3.0.0), withr, knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-10 10:29:30 UTC; lorenzo
Author: Lorenzo Fabbri [aut, cre]
Maintainer: Lorenzo Fabbri <lorenzo.fabbri92sm@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-15 17:40:16 UTC

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New package MRStdLCRT with initial version 0.1.0
Package: MRStdLCRT
Title: Model-Robust Standardization for Longitudinal Cluster-Randomized Trials
Version: 0.1.0
Description: Provides estimation and leave-one-cluster-out jackknife standard errors for four longitudinal cluster-randomized trial estimands: horizontal individual average treatment effect (h-iATE), horizontal cluster average treatment effect (h-cATE), vertical individual average treatment effect (v-iATE), and vertical cluster-period average treatment effect (v-cATE), using unadjusted and augmented (model-robust standardization) estimators. The working model may be fit using linear mixed models for continuous outcomes or generalized estimating equations and generalized linear mixed models for binary outcomes. Period inclusion for aggregation is determined automatically: only periods with both treated and control clusters are included in the construction of the marginal means and treatment effect contrasts. See Fang et al. (2025) <doi:10.48550/arXiv.2507.17190>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: reformulas, dplyr (>= 1.1.0), tidyr (>= 1.3.0), rlang (>= 1.1.0), tidyselect, gee, lme4 (>= 1.1-30), ggplot2 (>= 3.4.0), stats, utils
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-01-10 14:19:07 UTC; fancy
Author: Xi Fang [aut, cre], Fan Li [aut]
Maintainer: Xi Fang <x.fang@yale.edu>
Repository: CRAN
Date/Publication: 2026-01-15 17:50:06 UTC

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New package mcanalysis with initial version 0.1.0
Package: mcanalysis
Title: Markov Chain Analysis for Structural Behaviour and Stability
Version: 0.1.0
Author: Dr. Pramit Pandit [aut, cre], Mr. Ankit Kumar Singh [aut], Ms. Anita Sarkar [aut], Ms. Moumita Paul [aut], Dr. Bikramjeet Ghose [aut]
Maintainer: Dr. Pramit Pandit <pramitpandit@gmail.com>
Description: Analyses the stability and structural behaviour of export and import patterns across multiple countries using a Markov chain modelling framework. Constructs transition probability matrices to quantify changes in trade shares between successive periods, thereby capturing persistence, structural shifts, and inter-country interdependence in trade performance. By iteratively generating expected trade distributions over time, the approach facilitates assessment of stability, long-run equilibrium tendencies, and comparative dynamics in longitudinal trade data, providing a rigorous tool for empirical analysis of export–import behaviour. Methodological foundations follow standard Markov chain theory as described in Gagniuc (2017) <Doi:10.1002/9781119387596>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-10 05:57:11 UTC; Pramit
Repository: CRAN
Date/Publication: 2026-01-15 17:10:02 UTC

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New package dynamicpv with initial version 0.4.1
Package: dynamicpv
Title: Evaluates Present Values and Health Economic Models with Dynamic Pricing and Uptake
Version: 0.4.1
Description: The goal of 'dynamicpv' is to provide a simple way to calculate (net) present values and outputs from health economic models (especially cost-effectiveness and budget impact) in discrete time that reflect dynamic pricing and dynamic uptake. Dynamic pricing is also known as life cycle pricing; dynamic uptake is also known as multiple or stacked cohorts, or dynamic disease prevalence. Shafrin (2024) <doi:10.1515/fhep-2024-0014> provides an explanation of dynamic value elements, in the context of Generalized Cost Effectiveness Analysis, and Puls (2024) <doi:10.1016/j.jval.2024.03.006> reviews challenges of incorporating such dynamic value elements. This package aims to reduce those challenges.
License: GPL (>= 3)
URL: https://MSDLLCpapers.github.io/dynamicpv/, https://github.com/MSDLLCpapers/dynamicpv
BugReports: https://github.com/MSDLLCpapers/dynamicpv/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, readr, rlang, tidyr
Suggests: flexsurv, ggplot2, heemod, knitr, lubridate, purrr, rmarkdown, scales, testthat (>= 3.0.0), usethis
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-10 23:19:25 UTC; dom
Author: Dominic Muston [aut, cre] , John Blischak [ctb] , Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph, fnd]
Maintainer: Dominic Muston <dominic.muston@msd.com>
Repository: CRAN
Date/Publication: 2026-01-15 18:00:19 UTC

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New package dpGMM with initial version 0.2.2
Package: dpGMM
Title: Dynamic Programming Based Gaussian Mixture Modelling Tool for 1D and 2D Data
Version: 0.2.2
Maintainer: Kamila Szumala <kamila.szumala@polsl.pl>
Description: Gaussian mixture modeling of one- and two-dimensional data, provided in original or binned form, with an option to estimate the number of model components. The method uses Gaussian Mixture Models (GMM) with initial parameters determined by a dynamic programming algorithm, leading to stable and reproducible model fitting.
Depends: R (>= 3.5), ggplot2, RColorBrewer, stats, pracma
Imports: grDevices, ggpubr, Matrix, reshape2, graphics, methods, mvtnorm
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-10 12:12:11 UTC; kamil
Author: Michal Marczyk [aut, ctb], Kamila Szumala [aut, cre], Joanna Zyla [aut, ctb]
Repository: CRAN
Date/Publication: 2026-01-15 17:40:26 UTC

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New package autoFlagR with initial version 1.0.0
Package: autoFlagR
Title: AI-Driven Anomaly Detection for Data Quality
Version: 1.0.0
Description: Automated data quality auditing using unsupervised machine learning. Provides AI-driven anomaly detection for data quality assessment, primarily designed for Electronic Health Records (EHR) data, with benchmarking capabilities for validation and publication. Methods based on: Liu et al. (2008) <doi:10.1109/ICDM.2008.17>, Breunig et al. (2000) <doi:10.1145/342009.335388>.
License: MIT + file LICENSE
URL: https://github.com/vikrant31/autoFlagR, https://vikrant31.github.io/autoFlagR/
BugReports: https://github.com/vikrant31/autoFlagR/issues
Encoding: UTF-8
Imports: isotree, dbscan, dplyr, ggplot2, pROC, PRROC, knitr, gt, scales, rmarkdown (>= 2.0)
Suggests: testthat, pkgdown, ggnewscale
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-10 07:44:26 UTC; vikrant31
Author: Vikrant Dev Rathore [aut, cre]
Maintainer: Vikrant Dev Rathore <rathore.vikrant@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-15 17:40:31 UTC

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New package autoann with initial version 0.1.0
Package: autoann
Title: Neural Network–Based Model Selection and Forecasting
Version: 0.1.0
Author: Dr. Pramit Pandit [aut, cre], Ms. Moumita Paul [aut], Dr. Bikramjeet Ghose [aut]
Maintainer: Dr. Pramit Pandit <pramitpandit@gmail.com>
Description: Provides a systematic framework for neural network–based model selection and forecasting using single hidden layer feed-forward networks. It evaluates all possible combinations of predictor variables and hidden layer configurations, selecting the optimal model based on predictive accuracy criteria such as root mean squared error (RMSE) and mean absolute percentage error (MAPE). Predictors are automatically standardized, and model performance is assessed using out-of-sample validation. The package is designed for empirical modelling and forecasting in economics, agriculture, trade, climate, and related applied research domains where nonlinear relationships and robust predictive performance are of primary interest.
License: GPL-3
Encoding: UTF-8
Imports: nnet
NeedsCompilation: no
Packaged: 2026-01-10 06:41:11 UTC; Pramit
Repository: CRAN
Date/Publication: 2026-01-15 17:10:06 UTC

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Wed, 14 Jan 2026

New package staggR with initial version 0.1.1
Package: staggR
Title: Fit Difference-in-Differences Models with Staggered Interventions
Version: 0.1.1
Description: Fits linear difference-in-differences models in scenarios where intervention roll-outs are staggered over time. The package implements a version of an approach proposed by Sun and Abraham (2021) <doi:10.1016/j.jeconom.2020.09.006> to estimate cohort- and time-since-treatment specific difference-in-differences parameters, and it provides convenience functions both for specifying the model and for flexibly aggregating coefficients to answer a variety of research questions.
URL: https://github.com/chse-ohsu/staggR
BugReports: https://github.com/chse-ohsu/staggR/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Suggests: knitr, rmarkdown, sandwich
VignetteBuilder: knitr
Imports: ggplot2 (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-01-09 21:52:06 UTC; hartky
Author: Kyle Hart [aut, cre, cph] , Stephan Lindner [aut]
Maintainer: Kyle Hart <hartky@ohsu.edu>
Repository: CRAN
Date/Publication: 2026-01-14 18:20:02 UTC

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New package rtmsEcho with initial version 0.2.4
Package: rtmsEcho
Title: Extract and Analyze EchoMS Data from Sciex Wiff Files
Version: 0.2.4
Description: Read raw and processed data from acoustic ejection mass spectrometry (AEMS) files produced by the Sciex EchoMS instrument. Includes functions to create interactive reader objects, extract raw intensity measurements, mass spectra, and fully-processed mass-transition intensity areas. Methods for data processing and analysis are described in Rimmer et al. (2025) <doi:10.1021/acs.analchem.5c03730>. Supports both multiple reaction monitoring (MRM) and full-scan (neutral loss and precursor ion) data formats.
License: GPL (>= 3)
Encoding: UTF-8
Imports: rtms
Depends: R (>= 2.10)
LazyData: true
Suggests: ggplot2
NeedsCompilation: no
Packaged: 2026-01-09 20:52:48 UTC; ntwarog
Author: Mary Ashley Rimmer [aut], Nathaniel Twarog [aut, cre], Lei Yang [aut]
Maintainer: Nathaniel Twarog <nathaniel.twarog@stjude.org>
Repository: CRAN
Date/Publication: 2026-01-14 18:10:02 UTC

More information about rtmsEcho at CRAN
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New package frontmatter with initial version 0.1.0
Package: frontmatter
Title: Parse Front Matter from Documents
Version: 0.1.0
Description: Extracts and parses structured metadata ('YAML' or 'TOML') from the beginning of text documents. Front matter is a common pattern in 'Quarto' documents, 'R Markdown' documents, static site generators, documentation systems, content management tools and even 'Python' and 'R' scripts where metadata is placed at the top of a document, separated from the main content by delimiter fences.
License: MIT + file LICENSE
URL: https://github.com/posit-dev/frontmatter, https://posit-dev.github.io/frontmatter/
BugReports: https://github.com/posit-dev/frontmatter/issues
Imports: cpp11, rlang, tomledit, yaml12
Suggests: testthat (>= 3.0.0), withr, yaml
LinkingTo: cpp11
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-01-09 21:04:09 UTC; garrick
Author: Garrick Aden-Buie [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Garrick Aden-Buie <garrick@posit.co>
Repository: CRAN
Date/Publication: 2026-01-14 18:10:07 UTC

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New package grmtree with initial version 0.1.0
Package: grmtree
Title: Recursive Partitioning for Graded Response Models
Version: 0.1.0
Date: 2026-01-08
Maintainer: Olayinka I. Arimoro <olayinka.arimoro@ucalgary.ca>
Description: Provides methods for recursive partitioning based on the 'Graded Response Model' ('GRM'), extending the 'MOB' algorithm from the 'partykit' package. The package allows for fitting 'GRM' trees that partition the population into homogeneous subgroups based on item response patterns and covariates. Includes specialized plotting functions for visualizing 'GRM' trees with different terminal node displays (threshold regions, parameter profiles, and factor score distributions). For more details on the methods, see Samejima (1969) <doi:10.1002/J.2333-8504.1968.TB00153.X>, Komboz et al. (2018) <doi:10.1177/0013164416664394> and Arimoro et al. (2025) <doi:10.1007/s11136-025-04018-6>.
License: GPL-3
Depends: R (>= 4.1.0), partykit (>= 1.2-9), mirt (>= 1.36.1)
Imports: stats, graphics, grid, dplyr, ggplot2, rlang, magrittr, strucchange
Suggests: hlt, testthat (>= 3.0.0), knitr, rmarkdown, psychotools, psychotree, psych
Encoding: UTF-8
URL: https://github.com/Predicare1/grmtree
BugReports: https://github.com/Predicare1/grmtree/issues
Repository: CRAN
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-09 19:57:34 UTC; Olayinka A
Author: Olayinka I. Arimoro [aut, cre] , Tolulope T. Sajobi [aut], Lisa M. Lix [aut], Matthew T. James [ctb], Maria Santana [ctb], Emmanuel Ugochukwu [ctb]
Date/Publication: 2026-01-14 18:00:02 UTC

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New package diagcounts with initial version 0.1.0
Package: diagcounts
Title: Recover Diagnostic Test Accuracy Counts from Reported Accuracy Measures
Version: 0.1.0
Date: 2026-01-09
Description: Implements a system of linear equations to recover unreported diagnostic test accuracy cell counts from commonly reported measures such as sensitivity, specificity, predictive values, prevalence, and sample size. The package is intended for applied researchers who require complete 2x2 table counts for downstream analyses.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-09 20:13:49 UTC; 12896
Author: Conrad Kabali [aut, cre]
Maintainer: Conrad Kabali <conrad.kabali@utoronto.ca>
Repository: CRAN
Date/Publication: 2026-01-14 18:00:09 UTC

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New package blvim with initial version 0.1.1
Package: blvim
Title: Boltzmann–Lotka–Volterra Interaction Model
Version: 0.1.1
Description: Estimates Boltzmann–Lotka–Volterra (BLV) interaction model efficiently. Enables programmatic and graphical exploration of the solution space of BLV models when parameters are varied. See Wilson, A. (2008) <dx.doi.org/10.1098/rsif.2007.1288>.
License: GPL (>= 3)
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Imports: cli, collapse, Rcpp, rlang, stats
Suggests: callr, covr, dplyr, ggplot2, ggrepel, knitr, pkgload, rmarkdown, sf, sloop, testthat (>= 3.0.0), vctrs, vdiffr, withr
URL: https://fabrice-rossi.github.io/blvim/ https://fabrice-rossi.r-universe.dev/blvim
BugReports: https://github.com/fabrice-rossi/blvim/issues
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: yes
Packaged: 2026-01-09 20:14:08 UTC; fabrice
Author: Fabrice Rossi [aut, cre, cph]
Maintainer: Fabrice Rossi <Fabrice.Rossi@apiacoa.org>
Repository: CRAN
Date/Publication: 2026-01-14 18:00:13 UTC

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New package blastar with initial version 0.1.1
Package: blastar
Title: BLAST and Sequence Analysis Tools
Version: 0.1.1
Description: Description: Provides streamlined tools for retrieving sequences from NCBI, performing sequence alignments (pairwise and multiple), and building phylogenetic trees. Implements the Needleman-Wunsch algorithm for global alignment (Needleman & Wunsch (1970) <doi:10.1016/0022-2836(70)90057-4>), Smith-Waterman for local alignment (Smith & Waterman (1981) <doi:10.1016/0022-2836(81)90087-5>), and Neighbor-Joining for tree construction (Saitou & Nei (1987) <doi:10.1093/oxfordjournals.molbev.a040454>).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rentrez, ape, Biostrings, dplyr, tibble
Suggests: msa, pwalign, testthat (>= 3.0.0)
URL: https://github.com/loukesio/blastar
BugReports: https://github.com/loukesio/blastar/issues
NeedsCompilation: no
Packaged: 2026-01-09 20:09:51 UTC; theodosiou
Author: Loukas Theodosiou [aut, cre]
Maintainer: Loukas Theodosiou <theodosiou@evolbio.mpg.de>
Repository: CRAN
Date/Publication: 2026-01-14 18:00:22 UTC

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New package toxdrc with initial version 1.0.1
Package: toxdrc
Title: Pipeline for Dose-Response Curve Analysis
Version: 1.0.1
Description: Provides a variety of tools for assessing dose response curves, with an emphasis on toxicity test data. The main feature of this package are modular functions which can be combined through the namesake pipeline, 'runtoxdrc', to automate the analysis for large and complex datasets. This includes optional data preprocessing steps, like outlier detection, solvent effects, blank correction, averaging technical replicates, and much more. Additionally, this pipeline is adaptable to any long form dataset, and does not require specific column or group naming to work.
Maintainer: Jack Salole <salolej@mcmaster.ca>
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/jsalole/toxdrc
BugReports: https://github.com/jsalole/toxdrc/issues
Imports: dplyr, magrittr, outliers, purrr, rlang, stats, drc
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-09 17:19:21 UTC; jack
Author: Jack Salole [aut, cre]
Repository: CRAN
Date/Publication: 2026-01-14 09:10:02 UTC

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New package nimbleQuad with initial version 1.4.0
Package: nimbleQuad
Title: Laplace Approximation, Quadrature, and Nested Deterministic Approximation Methods for 'nimble'
Description: Provides deterministic approximation methods for use with the 'nimble' package. These include Laplace approximation and higher-order extension of Laplace approximation using adaptive Gauss-Hermite quadrature (AGHQ), plus nested deterministic approximation methods related to the 'INLA' approach. Additional information is available in the NIMBLE User Manual and a 'nimbleQuad' tutorial, both available at <https://r-nimble.org/documentation.html>.
Version: 1.4.0
Date: 2026-01-08
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>
Depends: R (>= 3.5.0), nimble (>= 1.4.0)
Imports: methods, R6, pracma, polynom
Suggests: testthat, mvQuad, faraway
License: BSD_3_clause + file LICENSE | GPL (>= 2)
Copyright: See COPYRIGHTS file.
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-09 17:32:12 UTC; paciorek
Author: Paul van Dam-Bates [aut], Perry de Valpine [aut], Wei Zhang [aut], Christopher Paciorek [aut, cre], Daniel Turek [aut]
Repository: CRAN
Date/Publication: 2026-01-14 09:10:08 UTC

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New package bayesDiagnostics with initial version 0.1.0
Package: bayesDiagnostics
Title: Comprehensive Bayesian Model Diagnostics and Comparison Tools
Version: 0.1.0
Description: Provides comprehensive tools for Bayesian model diagnostics and comparison. Includes prior sensitivity analysis, posterior predictive checks (Gelman et al. (2013) <doi:10.1201/b16018>), advanced model comparison using Pareto-smoothed importance sampling leave-one-out cross-validation (Vehtari et al. (2017) <doi:10.1007/s11222-016-9696-4>), convergence diagnostics, and prior elicitation tools. Integrates with 'brms' (Burkner (2017) <doi:10.18637/jss.v080.i01>), 'rstan', and 'rstanarm' packages for comprehensive Bayesian workflow diagnostics.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: brms (>= 2.18.0), checkmate (>= 2.1.0), ggplot2 (>= 3.4.0), gridExtra, loo (>= 2.5.0), posterior (>= 1.0.0), matrixStats, bridgesampling, rstan (>= 2.26.0), tidyr (>= 1.3.0)
Suggests: bayesplot (>= 1.10.0), covr, knitr, magrittr (>= 2.0.0), purrr (>= 1.0.0), rmarkdown, rstanarm (>= 2.21.0), scales (>= 1.2.0), spelling, testthat (>= 3.0.0), tibble (>= 3.2.0), lme4
VignetteBuilder: knitr
URL: https://github.com/ikrakib/bayesDiagnostics
BugReports: https://github.com/ikrakib/bayesDiagnostics/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-01-09 17:49:44 UTC; hello
Author: Ibrahim Kholil Rakib [aut, cre]
Maintainer: Ibrahim Kholil Rakib <ikrakib1010@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-14 09:10:19 UTC

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Tue, 13 Jan 2026

New package SRMERS with initial version 0.1.1
Package: SRMERS
Title: Semi-Parametric Shape-Restricted Fixed/Mixed Effect(s) Regression Spline
Version: 0.1.1
Maintainer: Qing Yin <qiy25@pitt.edu>
Imports: splines2, stats, lme4, nloptr, dplyr, MASS, coneproj, Matrix
Description: Select the most suitable shape to describe the relationship between the exposure and the outcome among increasing, decreasing, convex, and concave shapes (Yin et al. (2021) <DOI:10.1007/s13571-020-00246-7>); estimate the direct and indirect effects with prior knowledge on the relationship between the mediator and the outcome with binary exposure (Yin et al. (2024) <DOI:10.1007/s13571-024-00336-w>); estimate the direct and indirect effects using linear regression-based approach (VanderWeele (2015, ISBN:9780199325870)).
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.4.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-06 14:29:06 UTC; qingyin
Author: Qing Yin [aut, cre], Shyamal Das Peddada [aut], Jennifer Joan Adibi [aut], Jong-Hyeon Jeong [aut]
Repository: CRAN
Date/Publication: 2026-01-13 18:30:07 UTC

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New package rollout with initial version 0.1.0
Package: rollout
Title: Tools for Designing, Simulating, and Analyzing Implementation Rollout Trials
Version: 0.1.0
Description: Provides a unified framework for designing, simulating, and analyzing implementation rollout trials, including stepped wedge, sequential rollout, head-to-head, multi-condition, and rollout implementation optimization designs. The package enables users to flexibly specify rollout schedules, incorporate site-level and nested data structures, generate outcomes under rich hierarchical models, and evaluate analytic strategies through simulation-based power analysis. By separating data generation from model fitting, the tools support assessment of bias, Type I error, and robustness to model misspecification. The workflow integrates with standard mixed-effects modeling approaches and the tidyverse ecosystem, offering transparent and reproducible tools for implementation scientists and applied statisticians.
License: MIT + file LICENSE
URL: https://github.com/iancero/rollout, https://iancero.github.io/rollout/
BugReports: https://github.com/iancero/rollout/issues
Imports: broom.mixed, dplyr, glue, lifecycle, parallel, pbapply, purrr, rlang, stats, tidyr
Suggests: lme4, lmerTest, testthat (>= 3.0.0), tibble
Encoding: UTF-8
Depends: R (>= 4.5.0)
NeedsCompilation: no
Packaged: 2026-01-09 14:55:24 UTC; icero
Author: Ian Cero [aut, cre] , C. Hendricks Brown [aut]
Maintainer: Ian Cero <ian_cero@urmc.rochester.edu>
Repository: CRAN
Date/Publication: 2026-01-13 18:20:02 UTC

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New package lobbyR with initial version 0.1.0
Package: lobbyR
Title: Get Federal Lobbying Disclosures
Version: 0.1.0
Depends: R (>= 4.1.0)
Author: Chris Cioffi [aut, cre], Aarushi Sahejpal [aut, ctb]
Maintainer: Chris Cioffi <chrisjcioffi@gmail.com>
Description: Gives users seeking federal lobbying disclosures an easier way to query the API maintained by the Senate federal lobbying disclosures database <https://lda.senate.gov/api/redoc/v1/> to find out how much companies and other entities are spending to lobby Congress and the federal government. It allows for search terms such as keywords, time periods and entity names. It then attempts to clean, or at least flag, filings that could provide incorrect results when seeking to answer the question: How much is being spent on lobbying our Congress and the administration and what issues do they care about?
License: LGPL (>= 3)
Encoding: UTF-8
Suggests: spelling
Language: en-US
Imports: dplyr, httr2, keyring, rlang, stringr, tidyr
NeedsCompilation: no
Packaged: 2026-01-09 15:57:44 UTC; chriscioffi2
Repository: CRAN
Date/Publication: 2026-01-13 18:30:02 UTC

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New package BayesianInference with initial version 0.0.1
Package: BayesianInference
Title: Bayesian Inference
Version: 0.0.1
Description: Beta version of 'Bayesian Inference' (BI) using 'python' and BI. It aims to unify the modeling experience by providing an intuitive model-building syntax together with the flexibility of low-level abstraction coding. It also includes pre-built functions for high-level abstraction and supports hardware-accelerated computation for improved scalability, including parallelization, vectorization, and execution on CPU, GPU, or TPU.
Encoding: UTF-8
Imports: reticulate
SystemRequirements: Python (>= 3.6), 'BayesInference' python library.
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0)
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2026-01-09 14:28:53 UTC; Sosa
Author: Sebastian Sosa [aut, cre]
Maintainer: Sebastian Sosa <bi@s-sosa.com>
Repository: CRAN
Date/Publication: 2026-01-13 18:10:02 UTC

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New package AddiVortes with initial version 0.4.7
Package: AddiVortes
Title: (Bayesian) Additive Voronoi Tessellations
Version: 0.4.7
Date: 2026-01-09
Description: Implements the Bayesian Additive Voronoi Tessellation model for non-parametric regression and machine learning as introduced in Stone and Gosling (2025) <doi:10.1080/10618600.2024.2414104>. This package provides a flexible alternative to BART (Bayesian Additive Regression Trees) using Voronoi tessellations instead of trees. Users can fit Bayesian regression models, estimate posterior distributions, and visualise the resulting tessellations. It is particularly useful for spatial data analysis, machine learning regression, complex function approximation and Bayesian modeling where the underlying structure is unknown. The method is well-suited to capturing spatial patterns and non-linear relationships.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: parallel (>= 4.0.0), pbapply (>= 1.6)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), xml2
URL: https://johnpaulgosling.github.io/AddiVortes/
VignetteBuilder: knitr
BugReports: https://github.com/johnpaulgosling/AddiVortes/issues
NeedsCompilation: yes
Packaged: 2026-01-09 16:36:47 UTC; johnpaul
Author: Adam Stone [aut] , John Paul Gosling [aut, cre]
Maintainer: John Paul Gosling <john-paul.gosling@durham.ac.uk>
Repository: CRAN
Date/Publication: 2026-01-13 18:40:02 UTC

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New package S3VS with initial version 1.0
Package: S3VS
Title: Structured Screen-and-Select Variable Selection in Linear, Generalized Linear, and Survival Models
Version: 1.0
Date: 2025-12-30
Maintainer: Nilotpal Sanyal <nsanyal@utep.edu>
Description: Performs variable selection using the structured screen-and-select (S3VS) framework in linear models, generalized linear models with binary data, and survival models such as the Cox model and accelerated failure time (AFT) model.
License: GPL (>= 2)
Imports: glmnet, ncvreg, survival, mombf, future.apply, eha, pec, aftgee, afthd
Suggests: rjags, knitr, doParallel
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-09 13:00:43 UTC; nsanyal
Author: Nilotpal Sanyal [aut, cre], Padmore N. Prempeh [aut]
Repository: CRAN
Date/Publication: 2026-01-13 18:00:14 UTC

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New package rjd3toolkit with initial version 3.6.0
Package: rjd3toolkit
Title: Utility Functions Around 'JDemetra+ 3.0'
Version: 3.6.0
Description: R Interface to 'JDemetra+ 3.x' (<https://github.com/jdemetra>) time series analysis software. It provides functions allowing to model time series (create outlier regressors, user-defined calendar regressors, Unobserved Components AutoRegressive Integrated Moving Average (UCARIMA) models...), to test the presence of trading days or seasonal effects and also to set specifications in pre-adjustment and benchmarking when using 'rjd3x13' or 'rjd3tramoseats'.
License: EUPL
URL: https://github.com/rjdverse/rjd3toolkit, https://rjdverse.github.io/rjd3toolkit/
BugReports: https://github.com/rjdverse/rjd3toolkit/issues
Depends: R (>= 4.1)
Imports: checkmate, graphics, methods, rJava (>= 1.0-6), rjd3jars, RProtoBuf (>= 0.4.20), stats, utils
Encoding: UTF-8
Language: en-GB
LazyData: TRUE
SystemRequirements: Java (>= 17)
NeedsCompilation: no
Packaged: 2026-01-09 11:54:11 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: 2026-01-13 18:00:02 UTC

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Mon, 12 Jan 2026

New package vimixr with initial version 0.1.2
Package: vimixr
Title: Collapsed Variational Inference for Dirichlet Process (DP) Mixture Model
Version: 0.1.2
Description: Collapsed Variational Inference for a Dirichlet Process (DP) mixture model with unknown covariance matrix structure and DP concentration parameter. It enables efficient clustering of high-dimensional data with significantly improved computational speed than traditional MCMC methods. The package incorporates 8 parameterisations and corresponding prior choices for the unknown covariance matrix, from which the user can choose and apply accordingly.
Encoding: UTF-8
License: MIT + file LICENSE
Imports: ggplot2, patchwork, Rcpp, Rfast, rlang, parallel, stats
Suggests: knitr, rmarkdown, pbapply, testthat (>= 3.0.0)
URL: https://github.com/annesh07/vimixr
BugReports: https://github.com/annesh07/vimixr/issues
LinkingTo: Rcpp, RcppEigen
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-01-09 10:15:09 UTC; ap15
Author: Annesh Pal [aut, cre] , Boris Hejblum [aut]
Maintainer: Annesh Pal <sistm.soft.maintain@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-12 20:30:02 UTC

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New package Styperidge.reg with initial version 0.1.0
Package: Styperidge.reg
Title: S-Type Ridge Regression
Version: 0.1.0
Description: Implements S-type ridge regression, a robust and multicollinearity-aware linear regression estimator that combines S-type robust weighting (via the 'Stype.est' package) with ridge penalization; automatically selects the ridge parameter using the 'ridgregextra' approach targeting a close to 1 variance inflation factor (VIF), and returns comprehensive outputs (coefficients, fitted values, residuals, mean squared error (MSE), etc.) with an easy x/y interface and optional user-supplied weights. See Sazak and Mutlu (2021) <doi:10.1080/03610918.2021.1928196>, Karadag et al. (2023) <https://CRAN.R-project.org/package=ridgregextra> and Sazak et al. (2025) <https://CRAN.R-project.org/package=Stype.est>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, mctest, isdals, ridgregextra, Stype.est
Suggests: knitr, rmarkdown
URL: https://github.com/filizkrdg/Styperidge.reg
BugReports: https://github.com/filizkrdg/Styperidge.reg/issues
NeedsCompilation: no
Packaged: 2026-01-09 09:21:53 UTC; pc
Author: Filiz Karadag [cre] , HakanSavas Sazak [aut] , Olgun Aydin [aut]
Maintainer: Filiz Karadag <filiz.karadag@ege.edu.tr>
Repository: CRAN
Date/Publication: 2026-01-12 20:30:07 UTC

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New package mascarade with initial version 0.3.0
Package: mascarade
Title: Generating Cluster Masks for Single-Cell Dimensional Reduction Plots
Version: 0.3.0
Description: Implements a procedure to automatically generate 2D masks for clusters on dimensional reduction plots from methods like t-SNE (t-distributed stochastic neighbor embedding) or UMAP (uniform manifold approximation and projection), with a focus on single-cell RNA-sequencing data.
Imports: data.table, spatstat.geom, spatstat.explore, lifecycle, ggplot2, scales, polyclip, ggforce, vctrs, rlang, cli, systemfonts
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Suggests: testthat (>= 3.0.0), rmarkdown, knitr, patchwork, ggnewscale, ggsci, Seurat, SeuratObject
VignetteBuilder: knitr
URL: https://alserglab.github.io/mascarade/
BugReports: https://github.com/alserglab/mascarade/issues
NeedsCompilation: no
Packaged: 2026-01-09 02:23:49 UTC; alserg
Author: Alexey Sergushichev [aut, cre]
Maintainer: Alexey Sergushichev <alsergbox@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-12 20:20:02 UTC

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New package TensorMCMC with initial version 0.1.0
Package: TensorMCMC
Title: Tensor Regression with Stochastic Low-Rank Updates
Version: 0.1.0
Date: 2026-01-08
Maintainer: Ritwick Mondal <ritwick12@tamu.edu>
Description: Provides methods for low-rank tensor regression with tensor-valued predictors and scalar covariates. Model estimation is performed using stochastic optimization with random-walk updates for low-rank factor matrices. Computationally intensive components for coefficient estimation and prediction are implemented in C++ via 'Rcpp'. The package also includes tools for cross-validation and prediction error assessment.
Imports: Rcpp (>= 1.0.10), glmnet, stats
LinkingTo: Rcpp
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
License: MIT + file LICENSE
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-01-08 18:55:16 UTC; User
Author: Ritwick Mondal [aut, cre]
Repository: CRAN
Date/Publication: 2026-01-12 19:30:06 UTC

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New package querychat with initial version 0.2.0
Package: querychat
Title: Filter and Query Data Frames in 'shiny' Using an LLM Chat Interface
Version: 0.2.0
Description: Adds an LLM-powered chatbot to your 'shiny' app, that can turn your users' natural language questions into SQL queries that run against your data, and return the result as a reactive data frame. Use it to drive reactive calculations, visualizations, downloads, and more.
License: MIT + file LICENSE
URL: https://posit-dev.github.io/querychat/r/, https://posit-dev.github.io/querychat/, https://github.com/posit-dev/querychat
BugReports: https://github.com/posit-dev/querychat/issues
Depends: R (>= 4.1.0)
Imports: bslib, cli, DBI, ellmer (>= 0.3.0), htmltools, lifecycle, promises, R6, rlang (>= 1.1.0), S7, shiny, shinychat (>= 0.3.0), utils, whisker
Suggests: bsicons, dbplyr, dplyr, DT, duckdb, knitr, palmerpenguins, rmarkdown, RSQLite, shinytest2, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-08 21:27:00 UTC; garrick
Author: Garrick Aden-Buie [aut, cre] , Joe Cheng [aut, ccp], Carson Sievert [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Garrick Aden-Buie <garrick@posit.co>
Repository: CRAN
Date/Publication: 2026-01-12 19:50:02 UTC

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New package MorphSim with initial version 0.1.0
Package: MorphSim
Title: Simulate Discrete Character Data along Phylogenetic Trees
Version: 0.1.0
Description: Tools to simulate morphological traits along phylogenetic trees with branch lengths representing evolutionary distance or time. Includes functions for visualizing evolutionary processes along trees and within morphological character matrices.
License: GPL-3
Encoding: UTF-8
Imports: ape, FossilSim, stats, graphics, phangorn
Suggests: TreeSim
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-08 16:00:09 UTC; lauramulvey
Author: Laura Mulvey [aut, cre, cph], Tim Brandler [aut, cph], Alessio Capobianco [aut, cph], Rachel Warnock [aut, cph], Joelle Barido-Sottani [aut, cph]
Maintainer: Laura Mulvey <lauramulvey479@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-12 19:20:02 UTC

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New package MetaDose with initial version 1.0.1
Package: MetaDose
Title: Dose-Response Meta-Regression for Meta-Analysis
Version: 1.0.1
Date: 2026-01-08
Author: Ahmed Abdelmageed [cre, aut]
Maintainer: Ahmed Abdelmageed <ahmedelsaeedmassad@gmail.com>
URL: https://github.com/asmpro7/MetaDose/
Description: Conducting linear and nonlinear dose-response meta-regression using study-level summary data. It supports both continuous and binary outcomes and allows modeling of dose-effect relationships using linear trends or nonlinear restricted cubic splines. The package is designed to facilitate transparent, flexible, and reproducible dose-response meta-analyses, with built-in visualization of fitted dose-response curves.
License: GPL (>= 3)
Encoding: UTF-8
Imports: ggplot2, metafor, rms, rlang
NeedsCompilation: no
Packaged: 2026-01-08 22:44:48 UTC; ASM PRO
Repository: CRAN
Date/Publication: 2026-01-12 20:00:02 UTC

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New package ggskewboxplots with initial version 1.0.0
Package: ggskewboxplots
Title: Skew Boxplot Geoms for 'ggplot2'
Version: 1.0.0
Description: Provides 'ggplot2' extensions for creating skewed boxplots using several statistical methods (Kimber, 1990 <doi:10.2307/2347808>; Hubert and Vandervieren, 2008 <doi:10.1016/j.csda.2007.11.008>; Adil et al., 2015 <doi:10.18187/pjsor.v11i1.500>; Babura et al., 2017 <doi:10.1063/1.4982872>; Walker et al., 2018 <doi:10.1080/00031305.2018.1448891>). The package implements custom statistical transformations and geometries to visualize data distributions with an emphasis on skewness.
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, ggplot2, rlang, stats, tidyr
Suggests: knitr, rmarkdown, gridExtra, waldo, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-01-08 19:23:34 UTC; mustafacavus
Author: Mustafa Cavus [aut, cre]
Maintainer: Mustafa Cavus <mustafacavus@eskisehir.edu.tr>
Repository: CRAN
Date/Publication: 2026-01-12 19:30:02 UTC

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New package stIHC with initial version 0.1.0
Package: stIHC
Title: Spatial Transcriptomics Iterative Hierarchical Clustering
Version: 0.1.0
Description: Spatial transcriptomics iterative hierarchical clustering ('stIHC'), is a method for identifying spatial gene co-expression modules, defined as groups of genes with shared spatial expression patterns. The method is applicable across spatial transcriptomics technologies with differing spatial resolution, and provides a framework for investigating the spatial organisation of gene expression in tissues. For further details, see Higgins C., Li J.J., Carey M. <doi:10.1002/qub2.70011>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: fdaPDE, stats, cluster, mclust
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-08 13:37:37 UTC; crtuser
Author: Catherine Higgins [aut, cre], Jingyi Jessica Li [aut], Michelle Carey [aut]
Maintainer: Catherine Higgins <catherine.higgins@ucd.ie>
Repository: CRAN
Date/Publication: 2026-01-12 18:50:10 UTC

More information about stIHC at CRAN
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New package grangersearch with initial version 0.1.0
Package: grangersearch
Title: Granger Causality Testing for Time Series
Version: 0.1.0
Description: Performs Granger causality tests on pairs of time series to determine causal relationships. Uses Vector Autoregressive (VAR) models to test whether one time series helps predict another beyond what the series' own past values provide. Returns structured results including p-values, test statistics, and causality conclusions for both directions.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
URL: https://github.com/nkorf/grangersearch
BugReports: https://github.com/nkorf/grangersearch/issues
Encoding: UTF-8
LazyData: true
Imports: vars, stats, rlang (>= 1.0.0), tibble, generics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-06 15:12:52 UTC; nkorf
Author: Nikolaos Korfiatis [aut, cre]
Maintainer: Nikolaos Korfiatis <nkorf@ionio.gr>
Repository: CRAN
Date/Publication: 2026-01-12 19:00:02 UTC

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New package cre.dcf with initial version 0.0.3
Package: cre.dcf
Title: Discounted Cash Flow Tools for Commercial Real Estate
Version: 0.0.3
Date: 2025-12-10
Description: Provides 'R' utilities to build unlevered and levered discounted cash flow (DCF) tables for commercial real estate (CRE) assets. Functions generate bullet and amortising debt schedules, compute credit metrics such as debt coverage ratios (DCR), debt service coverage ratios (DSCR), interest coverage ratios, debt yield ratios, and forward loan-to-value ratios (LTV) based on net operating income (NOI). The toolkit evaluates refinancing feasibility under alternative market scenarios and supports end-to-end scenario execution from a YAML (YAML Ain't Markup Language) configuration file parsed with 'yaml'. Includes helpers for sensitivity analysis, covenant diagnostics, and reproducible vignettes.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en
Depends: R (>= 4.1)
Imports: checkmate, dplyr, magrittr, purrr, stats, tibble, utils, yaml
Suggests: ggplot2, knitr, readr, rmarkdown, scales, testthat (>= 3.0.0), tidyr
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-08 14:23:20 UTC; kpoi
Author: Kevin Poisson [aut, cre]
Maintainer: Kevin Poisson <kevin.poisson@parisgeo.cnrs.fr>
Repository: CRAN
Date/Publication: 2026-01-12 18:50:21 UTC

More information about cre.dcf at CRAN
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New package correctref with initial version 0.0.2
Package: correctref
Title: Correct and Standardize References for Scientific Manuscripts
Version: 0.0.2
Description: Reads 'Word' documents containing incomplete bibliographic references and produces an updated file with standardized and complete references. The package provides functions to retrieve missing authors, titles, journal details, volume, issue, and page numbers. Digital object identifiers (DOIs) are retrieved using the 'CrossRef' application programming interface (API) <https://api.crossref.org>, and references are formatted following DOI-based citation standards as described by Paskin (2010) <doi:10.1000/182> and the 'citation.doi.org' service <https://citation.doi.org>. The package is intended to simplify reference preparation for scientific journal submissions.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: httr, jsonlite, stringr, officer
NeedsCompilation: no
Packaged: 2026-01-08 14:38:32 UTC; DR. Umar Hussain
Author: Umar Hussain [aut, cre]
Maintainer: Umar Hussain <drumarhussain@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-12 18:50:26 UTC

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New package blockr with initial version 0.1.0
Package: blockr
Title: A Block-Based Framework for Data Manipulation and Visualization
Version: 0.1.0
Description: A framework for building interactive dashboards and document-based reports. Underlying data manipulation and visualization is possible using a web-based point and click user interface.
URL: https://bristolmyerssquibb.github.io/blockr/
License: GPL (>= 3)
Encoding: UTF-8
Imports: blockr.core, blockr.dock, blockr.dag, blockr.dplyr, blockr.ggplot, blockr.io, utils, cli, rlang
Suggests: testthat (>= 3.0.0), quarto, knitr, shinytest2, withr
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2026-01-08 13:05:28 UTC; nbennett
Author: Nicolas Bennett [aut, cre], David Granjon [aut], Christoph Sax [aut] , John Coene [aut], Karma Tarap [ctb], Bristol Myers Squibb [cph, fnd]
Maintainer: Nicolas Bennett <nicolas@cynkra.com>
Repository: CRAN
Date/Publication: 2026-01-12 18:50:31 UTC

More information about blockr at CRAN
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New package BCSreg with initial version 1.1.0
Package: BCSreg
Title: Box-Cox Symmetric Regression for Non-Negative Data
Version: 1.1.0
Description: A collection of tools for regression analysis of non-negative data, including strictly positive and zero-inflated observations, based on the class of the Box-Cox symmetric (BCS) distributions and its zero-adjusted extension. The BCS distributions are a class of flexible probability models capable of describing different levels of skewness and tail-heaviness. The package offers a comprehensive regression modeling framework, including estimation and tools for evaluating goodness-of-fit.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://github.com/ffqueiroz/BCSreg
BugReports: https://github.com/ffqueiroz/BCSreg/issues
Imports: distr, EnvStats, Formula, gamlss.dist, GeneralizedHyperbolic
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-01-08 15:11:01 UTC; rodri
Author: Felipe Queiroz [aut] , Rodrigo Medeiros [aut, cre, cph]
Maintainer: Rodrigo Medeiros <rodrigo.matheus@ufrn.br>
Repository: CRAN
Date/Publication: 2026-01-12 18:50:35 UTC

More information about BCSreg at CRAN
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Fri, 09 Jan 2026

New package funIHC with initial version 0.1.0
Package: funIHC
Title: Functional Iterative Hierarchical Clustering
Version: 0.1.0
Description: Functional clustering aims to group curves exhibiting similar temporal behaviour and to obtain representative curves summarising the typical dynamics within each cluster. A key challenge in this setting is class imbalance, where some clusters contain substantially more curves than others, which can adversely affect clustering performance. While class imbalance has been extensively studied in supervised classification, it has received comparatively little attention in unsupervised clustering. This package implements functional iterative hierarchical clustering ('funIHC'), an adaptation of the iterative hierarchical clustering method originally developed for multivariate data, to the functional data setting. For further details, please see Higgins and Carey (2024) <doi:10.1007/s11634-024-00611-8>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: fda, stats, cluster, mclust
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-08 12:41:14 UTC; crtuser
Author: Catherine Higgins [aut, cre], Michelle Carey [aut]
Maintainer: Catherine Higgins <catherine.higgins@ucd.ie>
Repository: CRAN
Date/Publication: 2026-01-09 19:40:02 UTC

More information about funIHC at CRAN
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New package heritable with initial version 0.1.0
Package: heritable
Title: Heritability Estimation from Mixed Models
Version: 0.1.0
Description: Reporting heritability estimates is an important to quantitative genetics studies and breeding experiments. Here we provide functions to calculate various broad-sense heritabilities from 'asreml' and 'lme4' model objects. All methods we have implemented in this package have extensively discussed in the article by Schmidt et al. (2019) <doi:10.1534/genetics.119.302134>.
License: GPL (>= 3)
Imports: cli, emmeans, Matrix, methods, stringr, vctrs
Suggests: testthat (>= 3.0.0), agridat, knitr, rmarkdown, lme4, pbkrtest, dplyr, ggplot2, tidyr, purrr, here
SystemRequirements: asreml (4.2.0)
Encoding: UTF-8
Depends: R (>= 4.1.0)
LazyData: true
VignetteBuilder: knitr
URL: https://anu-aagi.github.io/heritable/
Language: en
NeedsCompilation: no
Packaged: 2026-01-08 06:34:59 UTC; fontikar
Author: Fonti Kar [aut, cre] , Yidi Deng [aut] , Emi Tanaka [aut, cph]
Maintainer: Fonti Kar <fonti.kar@anu.edu.au>
Repository: CRAN
Date/Publication: 2026-01-09 19:00:02 UTC

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New package algebraic.mle with initial version 0.9.0
Package: algebraic.mle
Title: Algebraic Maximum Likelihood Estimators
Version: 0.9.0
Maintainer: Alexander Towell <lex@metafunctor.com>
Description: Defines an algebra over maximum likelihood estimators (MLEs) by providing operators that are closed over MLEs, along with various statistical functions for inference. For background on maximum likelihood estimation, see Casella and Berger (2002, ISBN:978-0534243128). For the delta method and variance estimation, see Lehmann and Casella (1998, ISBN:978-0387985022).
License: GPL (>= 3)
Encoding: UTF-8
ByteCompile: true
Imports: algebraic.dist, stats, boot, mvtnorm, MASS, numDeriv
URL: https://github.com/queelius/algebraic.mle, https://queelius.github.io/algebraic.mle/
BugReports: https://github.com/queelius/algebraic.mle/issues
Suggests: rmarkdown, dplyr, knitr, ggplot2, tibble, CDFt
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-08 02:59:04 UTC; spinoza
Author: Alexander Towell [aut, cre]
Repository: CRAN
Date/Publication: 2026-01-09 18:50:02 UTC

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New package TxEffectsSurvival with initial version 1.0.2
Package: TxEffectsSurvival
Title: Treatment Effect Inference for Terminal and Non-Terminal Events under Competing Risks
Version: 1.0.2
Author: Daewoo Pak [aut, cre], Song Yang [aut]
Maintainer: Daewoo Pak <dpak@yonsei.ac.kr>
Description: Provides several confidence interval and testing procedures, based on either semiparametric (using event-specific win ratios) or nonparametric measures, including the ratio of integrated cumulative hazard (RICH) and the ratio of integrated transformed cumulative hazard (RITCH), for treatment effect inference with terminal and non-terminal events under competing risks. The semiparametric results were developed in Yang et al. (2022 <doi:10.1002/sim.9266>), and the nonparametric results were developed in Yang (2025 <doi:10.1002/sim.70205>). For comparison, results for the win ratio (Finkelstein and Schoenfeld 1999 <doi:10.1002/(SICI)1097-0258(19990615)18:11%3C1341::AID-SIM129%3E3.0.CO;2-7>), Pocock et al. 2012 <doi:10.1093/eurheartj/ehr352>, and Bebu and Lachin 2016 <doi:10.1093/biostatistics/kxv032>) are included. The package also supports univariate survival analysis with a single event. In this package, effect size estimates and confidence intervals are ob [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-08 01:06:24 UTC; dpak
Repository: CRAN
Date/Publication: 2026-01-09 18:00:02 UTC

More information about TxEffectsSurvival at CRAN
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New package nnmf with initial version 1.0
Package: nnmf
Title: Nonnegative Matrix Factorization
Version: 1.0
Date: 2026-01-06
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: ClusterR, Matrix, osqp, parallel, quadprog, Rfast, Rfast2, Rglpk, sparcl, stats
Description: Nonnegative matrix factorization (NMF) is a technique to factorize a matrix with nonnegative values into the product of two matrices. Parallel computing is an option to enhance the speed and high-dimensional and large scale (and/or sparse) data are allowed. Relevant papers include: Wang Y. X. and Zhang Y. J. (2012). Nonnegative matrix factorization: A comprehensive review. IEEE Transactions on Knowledge and Data Engineering, 25(6), 1336-1353 <doi:10.1109/TKDE.2012.51> and Kim H. and Park H. (2008). Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method. SIAM Journal on Matrix Analysis and Applications, 30(2), 713-730 <doi:10.1137/07069239X>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-01-07 17:00:39 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-01-09 15:10:02 UTC

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New package ggguides with initial version 1.1.4
Package: ggguides
Title: Simplified Legend and Guide Alignment for 'ggplot2'
Version: 1.1.4
Description: Provides one-liner functions for common legend and guide operations in 'ggplot2'. Simplifies legend positioning, styling, wrapping, and collection across multi-panel plots created with 'patchwork' or 'cowplot'.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2 (>= 3.5.0), grid, gridExtra, gtable, rlang
Suggests: patchwork, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://gillescolling.com/ggguides/, https://github.com/gcol33/ggguides
BugReports: https://github.com/gcol33/ggguides/issues
NeedsCompilation: no
Packaged: 2026-01-07 17:49:52 UTC; Gilles Colling
Author: Gilles Colling [aut, cre]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-09 15:10:06 UTC

More information about ggguides at CRAN
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New package geonuts with initial version 1.0.0
Package: geonuts
Title: Identification and Visualisation of European NUTS Regions from Geolocations
Version: 1.0.0
Description: Provides functions to identify European NUTS (Nomenclature of Territorial Units for Statistics) regions for geographic coordinates (latitude/longitude) using Eurostat geospatial boundaries. Includes map-based visualisation of the matched regions for validation and exploration. Designed for regional data analysis, reproducible workflows, and integration with common geospatial R packages.
License: GPL (>= 3)
URL: https://github.com/aikatona/geonuts
BugReports: https://github.com/aikatona/geonuts/issues
Depends: R (>= 4.1.0)
Imports: eurostat, ggplot2, giscoR, units, grid, sf
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-07 21:33:16 UTC; mtkurbucz
Author: Attila I. Katona [aut, cre], Marcell T. Kurbucz [aut]
Maintainer: Attila I. Katona <katona.attila@gtk.uni-pannon.hu>
Repository: CRAN
Date/Publication: 2026-01-09 15:10:13 UTC

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New package smoothedIPW with initial version 0.1.0
Package: smoothedIPW
Title: Time-Smoothed Inverse Probability Weighting for Repeatedly Measured Outcomes
Version: 0.1.0
Description: Implements several methods to estimate effects of generalized time-varying treatment strategies on the mean of an outcome at one or more selected follow-up times of interest. Specifically, the package implements the time-smoothed inverse probability weighted estimators described in McGrath et al. (2025) <doi:10.48550/arXiv.2509.13971>. Outcomes may be repeatedly, non-monotonically, informatively, and sparsely measured in the data source. The package also supports settings where outcomes are truncated by death, i.e. some individuals die during follow-up which renders the outcome of interest undefined at the follow-up time of interest.
License: GPL (>= 3)
Encoding: UTF-8
Imports: data.table, progress
Depends: R (>= 2.10)
LazyData: true
BugReports: https://github.com/stmcg/smoothedIPW/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-01-07 17:21:08 UTC; Sean
Author: Sean McGrath [aut, cre] , Takuya Kawahara [aut], Jessica Young [aut]
Maintainer: Sean McGrath <sean.mcgrath514@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-09 15:00:02 UTC

More information about smoothedIPW at CRAN
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New package scmSpillover with initial version 0.1.1
Package: scmSpillover
Title: Synthetic Control Method with Spillover Effects
Version: 0.1.1
Description: A general-purpose implementation of synthetic control methods that accounts for potential spillover effects between units. Based on the methodology of Cao and Dowd (2019) <doi:10.48550/arXiv.1902.07343> "Estimation and Inference for Synthetic Control Methods with Spillover Effects".
License: MIT + file LICENSE
Encoding: UTF-8
Imports: limSolve, MASS, ggplot2, stats
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-01-07 15:58:27 UTC; User
Author: Jianfei Cao [aut], Zhanchao Fu [cre]
Maintainer: Zhanchao Fu <fuzhanchao2001@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-09 15:00:07 UTC

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New package glmmFEL with initial version 1.0.5
Package: glmmFEL
Title: Generalized Linear Mixed Models via Fully Exponential Laplace in EM
Version: 1.0.5
Date: 2026-01-07
Description: Fit generalized linear mixed models (GLMMs) with normal random effects using first-order Laplace, fully exponential Laplace (FEL) with mean-only corrections, and FEL with mean and covariance corrections in the E-step of an expectation-maximization (EM) algorithm. The current development version provides a matrix-based interface (y, X, Z) and supports binary logit and probit, and Poisson log-link models. An EM framework is used to update fixed effects, random effects, and a single variance component tau^2 for G = tau^2 I, with staged approximations (Laplace -> FEL mean-only -> FEL full) for efficiency and stability. A pseudo-likelihood engine glmmFEL_pl() implements the working-response / working-weights linearization approach of Wolfinger and O'Connell (1993) <doi:10.1080/00949659308811554>, and is adapted from the implementation used in the 'RealVAMS' package (Broatch, Green, and Karl (2018)) <doi:10.32614/RJ-2018-033>. The FEL implementation follows Karl, Yang, and [...truncated...]
License: GPL-3
Encoding: UTF-8
Imports: Matrix, numDeriv, stats, methods
Suggests: testthat (>= 3.0.0), MASS, knitr, rmarkdown, nlme, mvglmmRank, lme4
NeedsCompilation: no
Packaged: 2026-01-07 15:28:41 UTC; andre
Author: Andrew T. Karl [cre, aut]
Maintainer: Andrew T. Karl <akarl@asu.edu>
Repository: CRAN
Date/Publication: 2026-01-09 14:50:02 UTC

More information about glmmFEL at CRAN
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New package BayesDecon with initial version 0.1.3
Package: BayesDecon
Title: Density Deconvolution Using Bayesian Semiparametric Methods
Version: 0.1.3
Maintainer: Mainak Manna <mainakmanna29@utexas.edu>
Description: Estimates the density of a variable in a measurement error setup, potentially with an excess of zero values. For more details see Sarkar (2022) <doi:10.1080/10618600.2022.2060239>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, msm, corpcor, ks, mvtnorm
Suggests: ggplot2, gridExtra, parallel, foreach, doParallel, RColorBrewer
Depends: R (>= 4.1.0)
NeedsCompilation: yes
Packaged: 2026-01-07 16:26:49 UTC; mm227334
Author: Blake Moya [aut], Mainak Manna [cre, aut], Abhra Sarkar [aut], The University of Texas at Austin [cph, fnd]
Repository: CRAN
Date/Publication: 2026-01-09 15:00:12 UTC

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Thu, 08 Jan 2026

New package tidyna with initial version 0.1.2
Package: tidyna
Title: NA-Aware Defaults for Common R Functions
Version: 0.1.2
Description: Provides drop-in replacements for common R functions (mean(), sum(), sd(), min(), etc.) that default to 'na.rm = TRUE' and issue warnings when missing values are removed. It handles some special cases. The table() default is set to 'useNA = ifany'.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli (>= 3.0.0)
Suggests: testthat (>= 3.0.0), withr
URL: https://github.com/statzhero/tidyna
BugReports: https://github.com/statzhero/tidyna/issues
NeedsCompilation: no
Packaged: 2026-01-07 14:28:34 UTC; rico
Author: Ulrich Atz [aut, cre]
Maintainer: Ulrich Atz <ulrich.atz@unibocconi.it>
Repository: CRAN
Date/Publication: 2026-01-08 19:20:02 UTC

More information about tidyna at CRAN
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New package OpEnCAST with initial version 0.1.1
Package: OpEnCAST
Title: Optimized Ensemble Model for C and A Methylation Search in Plant
Version: 0.1.1
Author: Abhik Sarkar [aut, cre], Dipro Sinha [aut], Sneha Murmu [aut], Md Yeasin [aut], Dwijesh Chandra Mishra [aut], Sunil Archak [aut]
Maintainer: Abhik Sarkar <abhik.iasri@gmail.com>
Description: DNA methylation is an important epigenetic process that regulates gene activity through chemical modifications of DNA without changing its sequence. 'OpEnCAST' is a plant-specific ensemble-based prediction package that identifies 4mC, 5mC and 6mA methylation sites directly from DNA sequences. It combines multiple machine learning algorithms trained on monocot (Oryza sp.) and dicot (Arabidopsis sp.) reference models to deliver accurate predictions. This methodology is being inspired by the ensemble algorithm for methylation prediction developed by Wang et al. (2022) <doi:10.1186/s12859-022-04756-1>.
Imports: Biostrings, seqinr, stringr, tibble, entropy, ftrCOOL, stats
Suggests: caret, kernlab, ranger, xgboost, gbm
Encoding: UTF-8
License: GPL-3
NeedsCompilation: no
Packaged: 2025-12-22 20:24:59 UTC; Abhik
Repository: CRAN
Date/Publication: 2026-01-08 19:20:22 UTC

More information about OpEnCAST at CRAN
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New package OmicNetR with initial version 0.1.1
Package: OmicNetR
Title: Network-Based Integration of Multi-Omics Data Using Sparse CCA
Version: 0.1.1
Author: Prem Prashant Chaudhary [aut, cre]
Maintainer: Prem Prashant Chaudhary <chaudharyp2@nih.gov>
Description: Provides an end-to-end workflow for integrative analysis of two omics layers using sparse canonical correlation analysis (sCCA), including sample alignment, feature selection, network edge construction, and visualization of gene-metabolite relationships. The underlying methods are based on penalized matrix decomposition and sparse CCA (Witten, Tibshirani and Hastie (2009) <doi:10.1093/biostatistics/kxp008>), with design principles inspired by multivariate integrative frameworks such as mixOmics (Rohart et al. (2017) <doi:10.1371/journal.pcbi.1005752>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: stats, graphics, grDevices, ggplot2, igraph
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), mixOmics
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-01 19:28:41 UTC; chaudharyp2
Repository: CRAN
Date/Publication: 2026-01-08 19:30:14 UTC

More information about OmicNetR at CRAN
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New package odyssey with initial version 1.0.0
Package: odyssey
Title: Interface to the HAL Open Archive API
Version: 1.0.0
Description: An interface to the search API of 'HAL' <https://hal.science/>, the French open archive for scholarly documents from all academic fields. This package provides programmatic access to the API <https://api.archives-ouvertes.fr/docs> and allows to search for records and download documents.
License: GPL (>= 3)
URL: https://codeberg.org/nfrerebeau/odyssey, https://nfrerebeau.r-universe.dev/odyssey, https://nfrerebeau.codeberg.page/odyssey/
BugReports: https://codeberg.org/nfrerebeau/odyssey/issues
Depends: R (>= 4.1)
Imports: httr2, rlang, utils
Suggests: tinytest
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-07 15:09:23 UTC; nfrerebeau
Author: Nicolas Frerebeau [aut, cre] , Universite Bordeaux Montaigne [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>
Repository: CRAN
Date/Publication: 2026-01-08 19:30:02 UTC

More information about odyssey at CRAN
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New package gradLasso with initial version 0.1.1
Package: gradLasso
Title: Gradient Descent LASSO with Stability Selection and Bootstrapped Confidence Intervals
Version: 0.1.1
Description: Implements LASSO regression using gradient descent with support for Gaussian, Binomial, Negative Binomial, and Zero-Inflated Negative Binomial (ZINB) families. Features cross-validation for determining lambda, stability selection, and bootstrapping for confidence intervals. Methods described in Tibshirani (1996) <doi:10.1111/j.2517-6161.1996.tb02080.x> and Meinshausen and Buhlmann (2010) <doi:10.1111/j.1467-9868.2010.00740.x>.
URL: https://github.com/ddefranza/gradLasso
BugReports: https://github.com/ddefranza/gradLasso/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, utils, graphics, grDevices, foreach, doParallel, parallel
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-07 12:47:51 UTC; ddefranza
Author: David DeFranza [aut, cre]
Maintainer: David DeFranza <david.defranza@ucd.ie>
Repository: CRAN
Date/Publication: 2026-01-08 19:10:10 UTC

More information about gradLasso at CRAN
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New package evmissing with initial version 1.0.0
Package: evmissing
Title: Extreme Value Analyses with Missing Data
Version: 1.0.0
Date: 2026-01-07
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>
Description: Performs likelihood-based extreme value inferences with adjustment for the presence of missing values based on Simpson and Northrop (2025) <doi:10.48550/arXiv.2512.15429>. A Generalised Extreme Value distribution is fitted to block maxima using maximum likelihood estimation, with the location and scale parameters reflecting the numbers of non-missing raw values in each block. A Bayesian version is also provided. For the purposes of comparison, there are options to make no adjustment for missing values or to discard any block maximum for which greater than a percentage of the underlying raw values are missing. Example datasets containing missing values are provided.
Imports: gamlssx, graphics, itp, nieve, revdbayes, rust, stats
License: GPL (>= 3)
LazyData: TRUE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
URL: https://paulnorthrop.github.io/evmissing/, https://github.com/paulnorthrop/evmissing
BugReports: https://github.com/paulnorthrop/evmissing/issues
NeedsCompilation: no
Packaged: 2026-01-07 13:17:11 UTC; Paul
Author: Paul J. Northrop [aut, cre, cph], Emma S. Simpson [aut, cph]
Repository: CRAN
Date/Publication: 2026-01-08 19:20:15 UTC

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New package CNSigs with initial version 0.1.0
Package: CNSigs
Title: Analysis of Copy Number Signatures
Version: 0.1.0
Maintainer: Shawn Striker <striker.35@osu.edu>
Description: A workflow to generate and analyze signatures based on copy number data using non-negative matrix factorization (NMF) in an approach similar to that used in mutational signatures. It can be used to extract features from Copy number segment data and use that to find a subset of copy number signatures which can be further used to correlate with other relevant data. For more on 'NMF' see Gaujoux (2013) <doi:10.1186/1471-2105-11-367>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10), NMF
Imports: methods, doParallel, foreach, flexmix, limSolve, ggplot2, snow, cowplot, pheatmap, RColorBrewer, viridisLite, colorspace, stats, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-29 13:06:42 UTC; str236
Author: David Tallman [aut], Shawn Striker [cre, ctb], Daniel Stover [cph]
Repository: CRAN
Date/Publication: 2026-01-08 19:30:19 UTC

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New package AeroEvapR with initial version 0.1.6
Package: AeroEvapR
Title: Estimating Reservoir Evaporation via Aerodynamic Approach
Version: 0.1.6
Maintainer: Ally Fitts <afitts@usbr.gov>
Description: Developed as an 'R' alternative to the 'AeroEvap' model developed by the Desert Research Institute (DRI) in 'python' <https://github.com/WSWUP/AeroEvap/blob/master/README.rst> which estimates open water evaporation using the aerodynamic mass transfer approach.
Encoding: UTF-8
License: CC0
Copyright: This software is in the public domain because it contains materials that originally came from the United States Bureau of Reclamation, an agency of the United States Department of Interior.
Depends: R (>= 4.2.0)
Imports: readxl, data.table, openxlsx
Suggests: knitr, rmarkdown,dplyr, ggplot2, lubridate
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-06 15:07:14 UTC; afitts
Author: Elise Madonna [aut], Kathleen Holman [aut], Ally Fitts [aut, cre], John Volk [aut], Chris Pearson [aut]
Repository: CRAN
Date/Publication: 2026-01-08 19:20:26 UTC

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New package SRscore with initial version 0.1.2
Package: SRscore
Title: Simple Transcriptome Meta-Analysis for Identifying Stress-Responsive Genes
Version: 0.1.2
Author: Yusuke Fukuda [aut, cre], Atsushi Fukushima [aut]
Maintainer: Yusuke Fukuda <s823631038@kpu.ac.jp>
Description: Stress Response score (SRscore) is a stress responsiveness measure for transcriptome datasets and is based on the vote-counting method. The SRscore is determined to evaluate and score genes on the basis of the consistency of the direction of their regulation (Up-regulation, Down-regulation, or No change) under stress conditions across multiple analyzed research projects. This package is based on the HN-score (score based on the ratio of gene expression between hypoxic and normoxic conditions) proposed by Tamura and Bono (2022) <doi:10.3390/life12071079>, and can calculate both the original method and an extended calculation method described in Fukuda et al. (2025) <doi:10.1093/plphys/kiaf105>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, tidyr, utils, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggplot2, tibble, ComplexHeatmap, clusterProfiler, org.At.tair.db, BiocStyle, RColorBrewer, genefilter, DT
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2026-01-07 09:36:19 UTC; kpufukuda
Repository: CRAN
Date/Publication: 2026-01-08 18:50:19 UTC

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New package pboost with initial version 0.2.1
Package: pboost
Title: Profile Boosting Framework for Parametric Models
Version: 0.2.1
Maintainer: Zengchao Xu <zengc.xu@aliyun.com>
Description: A profile boosting framework for feature selection in parametric models. It offers a unified interface pboost() and several wrapped models, including linear model, generalized linear models, quantile regression, Cox proportional hazards model, beta regression. An S3 interface EBIC() is provided as the stopping rule for the profile boosting by default.
Imports: stats, Matrix, MASS, betareg, quantreg, survival, Formula
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/paradoxical-rhapsody/pboost
BugReports: https://github.com/paradoxical-rhapsody/pboost/issues
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-12-30 21:05:53 UTC; zengc
Author: Zengchao Xu [aut, cre]
Repository: CRAN
Date/Publication: 2026-01-08 18:50:02 UTC

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New package outlierspinner with initial version 0.1.0
Package: outlierspinner
Title: Geometric Multivariate Outlier Detection via Random Directional Probing
Version: 0.1.0
Description: Provides tools for multivariate outlier detection based on geometric properties of multivariate data using random directional projections. Observation-level outlier scores are computed by jointly probing radial magnitude and angular alignment through repeated projections onto random directions, with optional robust centering and covariance adjustment. In addition to global outlier scoring, the method produces dimension-level contribution measures to support interpretation of detected anomalies. Visualization utilities are included to summarize directional contributions for extreme observations.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, MASS, tidyr
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-01-06 08:09:39 UTC; peconom
Author: Polychronis Economou [aut, cre]
Maintainer: Polychronis Economou <peconom@upatras.gr>
Repository: CRAN
Date/Publication: 2026-01-08 18:50:07 UTC

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New package esviz with initial version 0.0.1
Package: esviz
Title: Plotting Functions for Climate Science and Services
Version: 0.0.1
Description: A plotting package for climate science and services. Provides a set of functions for visualizing climate data, including maps, time series, scorecards and other diagnostics. Some functions are adapted and extended from the 's2dv' and 'CSTools' packages (Manubens et al. (2018) <doi:10.1016/j.envsoft.2018.01.018>; Pérez-Zanón et al. (2022) <doi:10.5194/gmd-15-6115-2022>), with more consistent and integrated functionalities.
Depends: R (>= 3.6.0)
Imports: graphics, grDevices, maps, ClimProjDiags, sf, ggplot2, rnaturalearth, cowplot, s2dv, RColorBrewer, CSTools, easyNCDF (>= 0.1.4), dplyr, plyr, data.table, reshape2, scales, stats, utils, foreach, rlang, kableExtra, gridExtra, gtable, doParallel, mapproj, webshot2, variancePartition, jsonlite
Suggests: testthat, rnaturalearthdata
Maintainer: Ariadna Batalla <ariadna.batalla@bsc.es>
License: GPL-3
URL: https://gitlab.earth.bsc.es/es/esviz/
BugReports: https://gitlab.earth.bsc.es/es/esviz/-/issues
SystemRequirements: GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-12-29 10:46:40 UTC; abatalla
Author: BSC-CNS [aut, cph], An-Chi Ho [aut], Eva Rifa [ctb], Victoria Agudetse [ctb], Ariadna Batalla [ctb, cre], Nuria Perez-Zanon [ctb], Nadia Milders [ctb], Veronica Torralba [ctb], Raul Capellan [ctb], Anindita Patra [ctb]
Repository: CRAN
Date/Publication: 2026-01-08 18:50:11 UTC

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Wed, 07 Jan 2026

New package slideimp with initial version 0.5.4
Package: slideimp
Title: Numeric Matrices K-NN and PCA Imputation
Version: 0.5.4
Description: Fast k-nearest neighbors (K-NN) and principal component analysis (PCA) imputation algorithms for missing values in high-dimensional numeric matrices, i.e., epigenetic data. For extremely high-dimensional data with ordered features, a sliding window approach for K-NN or PCA imputation is provided. Additional features include group-wise imputation (e.g., by chromosome), hyperparameter tuning with repeated cross-validation, multi-core parallelization, and optional subset imputation. The K-NN algorithm is described in: Hastie, T., Tibshirani, R., Sherlock, G., Eisen, M., Brown, P. and Botstein, D. (1999) "Imputing Missing Data for Gene Expression Arrays". The PCA imputation is an optimized version of the imputePCA() function from the 'missMDA' package described in: Josse, J. and Husson, F. (2016) <doi:10.18637/jss.v070.i01> "missMDA: A Package for Handling Missing Values in Multivariate Data Analysis".
License: GPL (>= 2)
URL: https://github.com/hhp94/slideimp
BugReports: https://github.com/hhp94/slideimp/issues
Depends: R (>= 4.1.0)
Imports: bigmemory, checkmate, collapse, mirai, purrr, Rcpp, stats, tibble
Suggests: carrier, FactoMineR, knitr, missMDA, rlang, rmarkdown, testthat (>= 3.0.0)
LinkingTo: mlpack, Rcpp, RcppArmadillo, RcppEnsmallen
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2025-12-23 03:37:27 UTC; amser
Author: Hung Pham [aut, cre, cph]
Maintainer: Hung Pham <amser.hoanghung@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-07 09:20:02 UTC

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New package vbracket with initial version 1.0.2
Package: vbracket
Title: Custom Legends with Statistical Comparison Brackets
Version: 1.0.2
Description: Add publication-quality custom legends with vertical brackets. Designed for displaying statistical comparisons between groups, commonly used in scientific publications for showing significance levels. Features include adaptive positioning, automatic bracket spacing for overlapping comparisons, font family inheritance, and support for asterisks, p-values, or custom labels. Compatible with 'ggplot2' graphics.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: ggplot2 (>= 3.0.0), grid
Suggests: knitr, rmarkdown
URL: https://github.com/h20gg702/vbracket
BugReports: https://github.com/h20gg702/vbracket/issues
NeedsCompilation: no
Packaged: 2025-12-22 05:51:00 UTC; yoshiakisato
Author: Yoshiaki Sato [aut, cre]
Maintainer: Yoshiaki Sato <h20gg702@outlook.jp>
Repository: CRAN
Date/Publication: 2026-01-07 08:20:02 UTC

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New package TSQCA with initial version 0.1.2
Package: TSQCA
Title: Threshold Sweep Extensions for Qualitative Comparative Analysis
Version: 0.1.2
Description: Provides threshold sweep methods for Qualitative Comparative Analysis (QCA). Implements Condition Threshold Sweep-Single (CTS-S), Condition Threshold Sweep-Multiple (CTS-M), Outcome Threshold Sweep (OTS), and Dual Threshold Sweep (DTS) for systematic exploration of threshold calibration effects on crisp-set QCA results. These methods extend traditional robustness approaches by treating threshold variation as an exploratory tool for discovering causal structures. Built on top of the 'QCA' package <doi:10.1007/978-3-319-75668-4>, with function arguments following 'QCA' conventions. Based on set-theoretic methods <doi:10.7208/chicago/9780226702797.001.0001> and established robustness protocols <doi:10.1177/00491241211036158>.
Depends: R (>= 4.0)
Imports: QCA
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
License: MIT + file LICENSE
URL: https://github.com/im-research-yt/TSQCA, https://doi.org/10.5281/zenodo.17899391
BugReports: https://github.com/im-research-yt/TSQCA/issues
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-12-22 15:27:47 UTC; yukit
Author: Yuki Toyoda [aut, cre], Japan Society for the Promotion of Science [fnd]
Maintainer: Yuki Toyoda <yuki.toyoda.ds@hosei.ac.jp>
Repository: CRAN
Date/Publication: 2026-01-07 09:00:02 UTC

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New package mvtweedie with initial version 1.2.0
Package: mvtweedie
Title: Estimate Diet Proportions Using Multivariate Tweedie Model
Version: 1.2.0
Date: 2025-12-19
Description: Defines predict function that transforms output from a Tweedie Generalized Linear Mixed Model (using 'glmmTMB'), Generalized Additive Model (using 'mgcv'), or spatio-temporal Generalized Linear Mixed Model (using package 'tinyVAST'), and returns predicted proportions (and standard errors) across a grouping variable from an equivalent multivariate-logit Tweedie model. These predicted proportions can then be used for standard plotting and diagnostics. See Thorson et al. 2022 <doi:10.1002/ecy.3637>.
Imports: stats, tibble
Suggests: mgcv, knitr, rmarkdown, ggplot2, glmmTMB, lattice, pdp, raster, sp, RANN, plotrix, tweedie, abind, rnaturalearth, rnaturalearthdata, sf, dplyr, viridisLite, tinyVAST
Depends: R (>= 4.1.0)
License: GPL-3
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
URL: https://james-thorson-noaa.github.io/mvtweedie/
NeedsCompilation: no
Packaged: 2025-12-22 15:09:11 UTC; James.Thorson
Author: James Thorson [aut, cre]
Maintainer: James Thorson <James.Thorson@noaa.gov>
Repository: CRAN
Date/Publication: 2026-01-07 08:50:02 UTC

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New package mr.mashr with initial version 0.3.44
Encoding: UTF-8
Package: mr.mashr
Version: 0.3.44
Date: 2025-12-21
Title: Multiple Regression with Multivariate Adaptive Shrinkage
Description: Provides an implementation of methods for multivariate multiple regression with adaptive shrinkage priors as described in F. Morgante et al (2023) <doi:10.1371/journal.pgen.1010539>.
URL: https://github.com/stephenslab/mr.mashr
License: MIT + file LICENSE
Depends: R (>= 3.1.0)
SystemRequirements: GNU make
Imports: methods, stats, Matrix, Rcpp (>= 1.1.0), RcppParallel (>= 5.1.10), mvtnorm, matrixStats, mashr (>= 0.2.73), ebnm, flashier (>= 1.0.7), parallel
Suggests: testthat, varbvs, knitr, rmarkdown,
LinkingTo: Rcpp, RcppArmadillo (>= 0.10.4.0.0), RcppParallel
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-12-21 17:56:12 UTC; pcarbo
Author: Fabio Morgante [aut], Jason Willwerscheid [ctb], Gao Wang [ctb], Deborah Kunkel [aut], Daniel Nachun [ctb], Peter Carbonetto [cre, aut], Matthew Stephens [aut]
Maintainer: Peter Carbonetto <peter.carbonetto@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-07 08:10:02 UTC

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New package dsBaseClient with initial version 6.3.5
Package: dsBaseClient
Title: 'DataSHIELD' Client Side Base Functions
Version: 6.3.5
Description: Base 'DataSHIELD' functions for the client side. 'DataSHIELD' is a software package which allows you to do non-disclosive federated analysis on sensitive data. 'DataSHIELD' analytic functions have been designed to only share non disclosive summary statistics, with built in automated output checking based on statistical disclosure control. With data sites setting the threshold values for the automated output checks. For more details, see citation('dsBaseClient').
License: GPL-3
Depends: R (>= 4.0.0), DSI (>= 1.7.1)
Imports: fields, metafor, meta, ggplot2, gridExtra, data.table, methods, dplyr
Suggests: lme4, httr, spelling, tibble, testthat, e1071, DescTools, DSOpal, DSMolgenisArmadillo, DSLite
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2025-12-21 16:23:22 UTC; swheater
Author: Paul Burton [aut] , Rebecca Wilson [aut] , Olly Butters [aut] , Patricia Ryser-Welch [aut] , Alex Westerberg [aut], Leire Abarrategui [aut], Roberto Villegas-Diaz [aut] , Demetris Avraam [aut] , Yannick Marcon [aut] , Tom Bishop [aut], Amadou Gaye [a [...truncated...]
Maintainer: Stuart Wheater <stuart.wheater@arjuna.com>
Repository: CRAN
Date/Publication: 2026-01-07 08:20:07 UTC

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New package DedooseR with initial version 2.0.0.1
Package: DedooseR
Title: Monitoring and Analyzing Dedoose Qualitative Data Exports
Version: 2.0.0.1
Description: Streamlines analysis of qualitative data exported from Dedoose. Supports monitoring thematic saturation, calculating code frequencies, organizing excerpts, generating dynamic codebooks, and producing code network maps within R.
License: Apache License (>= 2)
URL: https://abiraahmi.github.io/DedooseR/ https://github.com/abiraahmi/DedooseR
BugReports: https://github.com/abiraahmi/DedooseR/issues
Encoding: UTF-8
Imports: dplyr, tidyr, ggplot2, knitr, DT, tibble, labelled, kableExtra, ggraph, igraph, wordcloud2, tidytext, purrr, haven, openxlsx
VignetteBuilder: knitr
Suggests: rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-22 15:00:52 UTC; abishankar
Author: Abiraahmi Shankar [aut, cre] , Catalina Canizares [aut] , Francisco Cardozo [aut] , Sabrina Stockmans [aut], Pamela Morris-Perez [aut]
Maintainer: Abiraahmi Shankar <abiraahmi.shankar@nyu.edu>
Repository: CRAN
Date/Publication: 2026-01-07 08:50:07 UTC

More information about DedooseR at CRAN
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New package circularKDE with initial version 0.1.1
Package: circularKDE
Title: Recent Methods for Kernel Density Estimation of Circular Data
Version: 0.1.1
Description: Provides recent kernel density estimation methods for circular data, including adaptive and higher-order techniques. The implementation is based on recent advances in bandwidth selection and circular smoothing. Key methods include adaptive bandwidth selection methods by Zámečník et al. (2024) <doi:10.1007/s00180-023-01401-0>, complete cross-validation by Hasilová et al. (2024) <doi:10.59170/stattrans-2024-024>, Fourier-based plug-in rules by Tenreiro (2022) <doi:10.1080/10485252.2022.2057974>, and higher-order kernels by Tsuruta & Sagae (2017) <doi:10.1016/j.spl.2017.08.003>.
Depends: R(>= 3.5.0), circular, cli
License: GPL-2
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
URL: https://github.com/stazam/circularKDE
BugReports: https://github.com/stazam/circularKDE/issues
NeedsCompilation: no
Packaged: 2025-12-22 10:42:58 UTC; A200083287
Author: Stanislav Zamecnik [aut, cre], Ivanka Horova [aut], Kamila Hasilova [aut], Stanislav Katina [aut]
Maintainer: Stanislav Zamecnik <zamecnik@math.muni.cz>
Repository: CRAN
Date/Publication: 2026-01-07 08:40:02 UTC

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New package RandomGaussianNB with initial version 0.2.4
Package: RandomGaussianNB
Title: Randomized Feature and Bootstrap-Enhanced Gaussian Naive Bayes Classifier
Version: 0.2.4
Date: 2025-12-21
Description: Provides an accessible and efficient implementation of a randomized feature and bootstrap-enhanced Gaussian naive Bayes classifier. The method combines stratified bootstrap resampling with random feature subsampling and aggregates predictions via posterior averaging. Support is provided for mixed-type predictors and parallel computation. Methods are described in Srisuradetchai (2025) <doi:10.3389/fdata.2025.1706417> "Posterior averaging with Gaussian naive Bayes and the R package RandomGaussianNB for big-data classification".
License: MIT + file LICENSE
Encoding: UTF-8
Imports: parallel, stats
Suggests: mlbench, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-21 16:57:28 UTC; spatc
Author: Patchanok Srisuradetchai [aut, cre]
Maintainer: Patchanok Srisuradetchai <patchanok@mathstat.sci.tu.ac.th>
Repository: CRAN
Date/Publication: 2026-01-07 08:00:14 UTC

More information about RandomGaussianNB at CRAN
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New package emburden with initial version 0.6.1
Package: emburden
Title: Energy Burden Analysis Using Net Energy Return Methodology
Version: 0.6.1
Description: Calculate and analyze household energy burden using the Net Energy Return aggregation methodology. Functions support weighted statistical calculations across geographic and demographic cohorts, with utilities for formatting results into publication-ready tables. Methods are based on Scheier & Kittner (2022) <doi:10.1038/s41467-021-27673-y>.
License: AGPL (>= 3)
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: dplyr, httr, rappdirs, readr, rlang, scales, spatstat.univar, stats, stringr, tibble, tidyr
Suggests: covr, DBI, httptest2, jsonlite, kableExtra, knitr, mockery, rmarkdown, RSQLite, rticles, testthat (>= 3.0.0), tinytex, withr
VignetteBuilder: knitr
LazyData: true
URL: https://github.com/ericscheier/emburden, https://ericscheier.info/emburden/
BugReports: https://github.com/ericscheier/emburden/issues
NeedsCompilation: no
Packaged: 2025-12-20 03:28:16 UTC; runner
Author: Eric Scheier [aut, cre, cph]
Maintainer: Eric Scheier <eric@scheier.org>
Repository: CRAN
Date/Publication: 2026-01-07 08:00:02 UTC

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New package blockr.io with initial version 0.1.0
Package: blockr.io
Title: Interactive File Import and Export Blocks
Version: 0.1.0
Description: Extends 'blockr.core' with interactive blocks for reading and writing data files. Supports CSV, Excel, Parquet, RDS, and other formats through a graphical interface without writing code directly. Includes file browser integration and configurable import/export options.
URL: https://bristolmyerssquibb.github.io/blockr.io/
BugReports: https://github.com/BristolMyersSquibb/blockr.io/issues
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
Imports: blockr.core (>= 0.1.1), readxl, shiny, readr, shinyFiles, rio, arrow, bslib, rappdirs, shinyjs, writexl, zip
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-21 14:00:27 UTC; christophsax
Author: Christoph Sax [aut, cre] , Nicolas Bennett [aut], David Granjon [aut], Mike Page [aut], Bristol Myers Squibb [fnd]
Maintainer: Christoph Sax <christoph@cynkra.com>
Repository: CRAN
Date/Publication: 2026-01-07 08:00:08 UTC

More information about blockr.io at CRAN
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Tue, 06 Jan 2026

New package Upsilon with initial version 0.1.0
Package: Upsilon
Title: Another Test of Association for Count Data
Version: 0.1.0
Date: 2025-12-20
Description: The Upsilon test assesses association among categorical variables against the null hypothesis of independence (Luo 2021 MS thesis; ProQuest Publication No. 28649813). While promoting dominant function patterns, it demotes non-dominant function patterns. It is robust to low expected count---continuity correction like Yates's seems unnecessary. Using a common null population following a uniform distribution, contingency tables are comparable by statistical significance---not the case for most association tests defining a varying null population by tensor product of observed marginals. Although Pearson's chi-squared test, Fisher's exact test, and Woolf's G-test (related to mutual information) are useful in some contexts, the Upsilon test appeals to ranking association patterns not necessarily following same marginal distributions, such as in count data from DNA sequencing---an important modern scientific domain.
Encoding: UTF-8
License: LGPL (>= 3)
Imports: Rcpp (>= 1.0.8), Rdpack, ggplot2 (>= 3.4.0), reshape2, scales
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), DescTools, USP, metan, FunChisq, patchwork
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-12-20 13:50:51 UTC; joesong
Author: Xuye Luo [aut], Joe Song [aut, cre]
Maintainer: Joe Song <joemsong@nmsu.edu>
Repository: CRAN
Date/Publication: 2026-01-06 11:40:07 UTC

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New package tinyshinyserver with initial version 0.1.0
Package: tinyshinyserver
Title: Tiny 'shiny' Server - Lightweight Multi-App 'shiny' Proxy
Version: 0.1.0
Description: A lightweight, 'WebSocket'-enabled proxy server for hosting multiple 'shiny' applications with automatic health monitoring, session management, and resource cleanup. Provides a simple entry point to run the server using a JSON configuration file.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: methods, shiny, callr, jsonlite, later, httr, digest, httpuv, websocket, future, logger, openssl, rmarkdown, quarto
Suggests: testthat (>= 3.0.0), roxygen2, devtools, DT, dplyr, flexdashboard, plotly
URL: https://github.com/lab1702/tinyshinyserver
BugReports: https://github.com/lab1702/tinyshinyserver/issues
NeedsCompilation: no
Packaged: 2025-12-20 00:15:25 UTC; lab
Author: Lars Bernhardsson [aut, cre]
Maintainer: Lars Bernhardsson <cran.sherry228@passinbox.com>
Repository: CRAN
Date/Publication: 2026-01-06 11:40:02 UTC

More information about tinyshinyserver at CRAN
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New package ReliaLearnR with initial version 0.3
Package: ReliaLearnR
Title: Learning Modules for Reliability Analysis
Version: 0.3
URL: https://paulgovan.github.io/ReliaLearnR/, https://github.com/paulgovan/ReliaLearnR
BugReports: https://github.com/paulgovan/ReliaLearnR/issues
Description: Learning modules for reliability analysis including modules for Reliability, Availability, and Maintainability (RAM) Analysis, Life Data Analysis, and Reliability Testing.
Imports: learnr, ReliaGrowR, WeibullR, WeibullR.ALT
Suggests: knitr, mockery, ReliaPlotR, ReliaShiny, rmarkdown, testthat (>= 3.0.0)
License: CC BY 4.0
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-20 04:04:34 UTC; paulgovan
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-06 11:30:08 UTC

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New package perumammals with initial version 0.0.0.1
Package: perumammals
Title: Taxonomic Backbone and Name Validation Tools for Mammals of Peru
Version: 0.0.0.1
Maintainer: Paul E. Santos Andrade <paulefrens@gmail.com>
Description: Provides a curated taxonomic backbone of mammal species from Peru based on Pacheco et al. (2021) "Lista actualizada de la diversidad de los mamíferos del Perú y una propuesta para su actualización" <doi:10.15381/rpb.v28i4.21019>. The package includes standardized species data, occurrence by ecoregions, endemism status, and tools for validating and matching scientific names through exact and fuzzy procedures. It is designed as a lightweight and dependable reference for ecological, environmental, biogeographic, and conservation workflows that require reliable species information for Peruvian mammals.
License: MIT + file LICENSE
URL: https://github.com/PaulESantos/perumammals, https://paulesantos.github.io/perumammals/
BugReports: https://github.com/PaulESantos/perumammals/issues
Depends: R (>= 4.1)
Encoding: UTF-8
LazyData: true
Imports: assertthat, cli, dplyr, fuzzyjoin, progress, purrr, readr, stringr, tibble, memoise
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0), tidyr, ggtext
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-20 03:28:39 UTC; PC
Author: Paul E. Santos Andrade [aut, cre] , Fiorella N. Gonzales Guillen [ctb]
Repository: CRAN
Date/Publication: 2026-01-06 11:30:02 UTC

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New package myrror with initial version 0.1.2
Package: myrror
Title: Compare Two Data Frames and Summarize Differences
Version: 0.1.2
Description: Tools for systematic comparison of data frames, offering functionality to identify, quantify, and extract differences. Provides functions with user-friendly and interactive console output for immediate analysis, while also offering options to export differences as structured data frames that can be easily integrated into existing workflows.
License: MIT + file LICENSE
URL: https://pip-technical-team.github.io/myrror/, https://github.com/PIP-Technical-Team/myrror
Depends: R (>= 4.3.0)
Imports: cli (>= 3.6.2), collapse, data.table (>= 1.15.4), digest, joyn (>= 0.3.0), rlang, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/PIP-Technical-Team/myrror/issues
NeedsCompilation: no
Packaged: 2025-12-19 16:35:27 UTC; wb384996
Author: Giorgia Cecchinato [aut], R.Andres Castaneda [aut, cre], Rossana Tatulli [aut], Global Poverty and Inequality Data Team World Bank [cph]
Maintainer: R.Andres Castaneda <acastanedaa@worldbank.org>
Repository: CRAN
Date/Publication: 2026-01-06 11:20:02 UTC

More information about myrror at CRAN
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New package SChangeBlock with initial version 0.0.1
Package: SChangeBlock
Title: Spatial Structural Change Detection by an Analysis of Variability Between Blocks of Observations
Version: 0.0.1
Description: Provides methods to detect structural changes in time series or random fields (spatial data). Focus is on the detection of abrupt changes or trends in independent data, but the package also provides a function to de-correlate data with dependence. The functions are based on the test suggested in Schmidt (2024) <DOI:10.3150/23-BEJ1686> and the work in Görz and Fried (2025) <DOI:10.48550/arXiv.2512.11599>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: Rcpp, ggplot2, nortest, expm, robcp
Depends: R (>= 3.3.1)
LinkingTo: Rcpp
Author: Sheila Goerz [aut, cre], Roland Fried [ctb, ths]
Maintainer: Sheila Goerz <sheila.goerz@tu-dortmund.de>
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2025-12-19 15:25:39 UTC; goerz
Repository: CRAN
Date/Publication: 2026-01-06 11:00:09 UTC

More information about SChangeBlock at CRAN
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New package rbrsa with initial version 0.2.0
Package: rbrsa
Title: Fetch Turkish Banking Sector Data from the Turkish Banking Regulation and Supervision Agency
Version: 0.2.0
Description: The goal of the 'rbrsa' package is to provide automated access to banking sector data from the Turkish Banking Regulation and Supervision Agency (BRSA, known as BDDK in Turkish). The package retrieves tables from two distinct publication portals maintained by the BRSA: The Monthly Bulletin Portal <https://www.bddk.org.tr/bultenaylik> and The FinTurk Data System <https://www.bddk.org.tr/BultenFinturk>.
License: MIT + file LICENSE
URL: https://github.com/obakis/rbrsa, https://obakis.github.io/rbrsa/
BugReports: https://github.com/obakis/rbrsa/issues
Depends: R (>= 4.1.0)
Imports: httr2 (>= 1.0.0), jsonlite (>= 1.8.0), writexl, rlang (>= 1.1.6)
Suggests: dplyr, ggplot2, scales, knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-19 15:34:02 UTC; ozanbakis
Author: Ozan Bakis [aut, cre]
Maintainer: Ozan Bakis <ozanbakis@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-06 11:00:02 UTC

More information about rbrsa at CRAN
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New package FluxPoint with initial version 0.1.1
Package: FluxPoint
Title: Change Point Detection for Non-Stationary and Cross-Correlated Time Series
Version: 0.1.1
Maintainer: Yuhan Tian <yuhan.tian@fau.de>
Description: Implements methods for multiple change point detection in multivariate time series with non-stationary dynamics and cross-correlations. The methodology is based on a model in which each component has a fluctuating mean represented by a random walk with occasional abrupt shifts, combined with a stationary vector autoregressive structure to capture temporal and cross-sectional dependence. The framework is broadly applicable to correlated multivariate sequences in which large, sudden shifts occur in all or subsets of components and are the primary targets of interest, whereas small, smooth fluctuations are not. Although random walks are used as a modeling device, they provide a flexible approximation for a wide class of slowly varying or locally smooth dynamics, enabling robust performance beyond the strict random walk setting.
License: GPL-2
Encoding: UTF-8
Imports: Rcpp, blockmatrix, corpcor, doParallel, ggplot2, glmnet, MASS, Matrix, nnls, pracma, SimDesign
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2025-12-19 16:20:57 UTC; AAA
Author: Yuhan Tian [aut, cre], Abolfazl Safikhani [aut]
Repository: CRAN
Date/Publication: 2026-01-06 11:00:20 UTC

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Tue, 30 Dec 2025

New package sensortowerR with initial version 0.9.4
Package: sensortowerR
Title: Interface to 'Sensor Tower' Mobile App Intelligence API
Version: 0.9.4
Description: Interface to the 'Sensor Tower' API <https://app.sensortower.com/api/docs/app_analysis> for mobile app analytics and market intelligence. Provides functions to retrieve app metadata, publisher information, download and revenue estimates, active user metrics, category rankings, and market trends. The package includes data processing utilities to clean and aggregate metrics across platforms, automatic app name resolution, and tools for generating professional analytics dashboards. Supports both iOS and Android app ecosystems with unified data structures for cross-platform analysis.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, glue, httr, httr2, jsonlite, lubridate, openssl, purrr, rlang, stats, stringr, tibble, tidyr, utils
Suggests: gt, gtExtras, knitr, pkgbuild, rcmdcheck, rmarkdown, rhub, testthat (>= 3.0.0)
VignetteBuilder: knitr
Author: Phillip Black [aut, cre]
Maintainer: Phillip Black <pblack@gameeconomistconsulting.com>
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-12-19 15:23:46 UTC; phillip
Repository: CRAN
Date/Publication: 2025-12-30 19:20:02 UTC

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New package plavaan with initial version 0.0.1
Package: plavaan
Title: Penalized Estimation for Latent Variable Models with 'lavaan'
Version: 0.0.1
Description: Extends the popular 'lavaan' package by adding penalized estimation capabilities. It supports penalty on individual parameters as well as the difference between parameters.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: lavaan, numDeriv
URL: https://marklhc.github.io/plavaan/, https://github.com/marklhc/plavaan
BugReports: https://github.com/marklhc/plavaan/issues
NeedsCompilation: no
Packaged: 2025-12-19 06:30:15 UTC; marklai
Author: Hok Chio Lai [aut, cre]
Maintainer: Hok Chio (Mark) Lai <marklhc@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-12-30 19:00:02 UTC

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New package DRsurvCRT with initial version 0.0.1
Package: DRsurvCRT
Title: Doubly-Robust Estimation for Survival Outcomes in Cluster-Randomized Trials
Version: 0.0.1
Description: Cluster-randomized trials (CRTs) assign treatment to groups rather than individuals, so valid analyses must distinguish cluster-level and individual-level effects and define estimands within a potential-outcomes framework. This package supports right-censored survival outcomes for both single-state (binary) and multi-state settings. For single-state outcomes, it provides estimands based on stage-specific survival contrasts (SPCE) and restricted mean survival time (RMST). For multi-state outcomes, it provides SPCE as well as a generalized win-based restricted mean time-in-favor estimand (RMT-IF). The package implements doubly robust estimators that accommodate covariate-dependent censoring and remain consistent if either the outcome model or the censoring model is correctly specified. Users can choose marginal Cox or gamma-frailty Cox working models for nuisance estimation, and inference is supported via leave-one-cluster-out jackknife variance and confidence interval estimation. Method [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: Rcpp, frailtyEM, survival, ggplot2, pracma, abind
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.5)
NeedsCompilation: yes
Packaged: 2025-12-19 03:14:10 UTC; fancy
Author: Xi Fang [aut, cre], Fan Li [aut]
Maintainer: Xi Fang <x.fang@yale.edu>
Repository: CRAN
Date/Publication: 2025-12-30 19:00:06 UTC

More information about DRsurvCRT at CRAN
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Mon, 22 Dec 2025

New package sitrep with initial version 0.2.3
Package: sitrep
Title: Report Templates and Helper Functions for Applied Epidemiology
Version: 0.2.3
Description: A meta-package that loads the complete sitrep ecosystem for applied epidemiology analysis. This package provides report templates and automatically loads companion packages, including 'epitabulate' (for epidemiological tables), 'epidict' (for data dictionaries), 'epikit' (for epidemiological utilities), and 'apyramid' (for age-sex pyramids). Simply load 'sitrep' to access all functions from the ecosystem.
License: GPL-3
URL: https://github.com/R4EPI/sitrep/, https://r4epi.github.io/sitrep/
BugReports: https://github.com/R4EPI/sitrep/issues/
Depends: R (>= 3.2)
Imports: apyramid (>= 0.1.0), epidict (>= 0.1.0), epikit, epitabulate (>= 0.1.0), utils
Suggests: anthro, binom, broom, clipr, covr, dplyr (>= 0.8.0), flextable, forcats, ggalluvial, ggplot2 (>= 3.0.0), ggspatial, glue, gtsummary (>= 2.0.0), here, janitor, knitr, labelled, lubridate, matchmaker, pacman, parsedate, patchwork, purrr, rio, rlang (>= 0.4.0), rmarkdown, scales, sessioninfo, sf, slider, srvyr, stats, stringr, summarytools, survey, testthat (>= 2.1.0), tibble, tidyr (>= 1.0.0), tidyselect, tsibble, vdiffr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-12-18 06:54:23 UTC; spina
Author: Alexander Spina [aut, cre] , Zhian N. Kamvar [aut] , Dirk Schumacher [aut], Kate Doyle [aut], Chris Jarvis [aut], Lukas Richter [aut], Paula Blomquist [aut], Annick Lenglet [ctb], Neale Batra [ctb], Applied Epi Incorporated [cph], Medecins Sans Front [...truncated...]
Maintainer: Alexander Spina <aspina@appliedepi.org>
Repository: CRAN
Date/Publication: 2025-12-22 19:40:02 UTC

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New package pairwiseLLM with initial version 1.1.0
Package: pairwiseLLM
Title: Pairwise Comparison Tools for Large Language Model-Based Writing Evaluation
Version: 1.1.0
Description: Provides a unified framework for generating, submitting, and analyzing pairwise comparisons of writing quality using large language models (LLMs). The package supports live and/or batch evaluation workflows across multiple providers ('OpenAI', 'Anthropic', 'Google Gemini', 'Together AI', and locally-hosted 'Ollama' models), includes bias-tested prompt templates and a flexible template registry, and offers tools for constructing forward and reversed comparison sets to analyze consistency and positional bias. Results can be modeled using Bradley–Terry (1952) <doi:10.2307/2334029> or Elo rating methods to derive writing quality scores. For information on the method of pairwise comparisons, see Thurstone (1927) <doi:10.1037/h0070288> and Heldsinger & Humphry (2010) <doi:10.1007/BF03216919>. For information on Elo ratings, see Clark et al. (2018) <doi:10.1371/journal.pone.0190393>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: curl, dplyr, httr2, jsonlite, rlang, stats, tibble, tidyselect, tools, utils
Suggests: BradleyTerry2, EloChoice, knitr, mockery, purrr, readr, rmarkdown, sirt, stringr, testthat (>= 3.0.0), tidyr, withr
URL: https://github.com/shmercer/pairwiseLLM, https://shmercer.github.io/pairwiseLLM/
BugReports: https://github.com/shmercer/pairwiseLLM/issues
Depends: R (>= 4.1)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-18 02:11:26 UTC; shmer
Author: Sterett H. Mercer [aut, cre]
Maintainer: Sterett H. Mercer <sterett.mercer@ubc.ca>
Repository: CRAN
Date/Publication: 2025-12-22 19:10:02 UTC

More information about pairwiseLLM at CRAN
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New package meetupr with initial version 0.3.1
Package: meetupr
Title: Access Meetup Data
Version: 0.3.1
Description: Provides programmatic access to the 'Meetup' 'GraphQL' API (<https://www.meetup.com/graphql/>), enabling users to retrieve information about groups, events, and members from 'Meetup' (<https://www.meetup.com/>). Supports authentication via 'OAuth2' and includes functions for common queries and data manipulation tasks.
License: MIT + file LICENSE
Depends: R (>= 4.2)
Imports: countrycode, cli, clipr, dplyr, fs, glue, httr2, jsonlite, lifecycle, purrr, rlang, rlist, S7, tools, stats, utils, withr, rstudioapi
Suggests: covr, cyphr, ggplot2, ggwordcloud, httpuv, jose, knitr, openssl, rmarkdown, sodium, testthat, tidyr, tidytext, vcr
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://rladies.org/meetupr/
BugReports: https://github.com/rladies/meetupr/issues
NeedsCompilation: no
Packaged: 2025-12-18 15:45:12 UTC; athanasm
Author: Athanasia Mo Mowinckel [aut, cre] , Erin LeDell [aut], Olga Mierzwa-Sulima [aut], Lucy D'Agostino McGowan [aut], Claudia Vitolo [aut], Gabriela De Queiroz [ctb], Michael Beigelmacher [ctb], Augustina Ragwitz [ctb], Greg Sutcliffe [ctb], Rick Pack [ct [...truncated...]
Maintainer: Athanasia Mo Mowinckel <a.m.mowinckel@psykologi.uio.no>
Repository: CRAN
Date/Publication: 2025-12-22 19:50:02 UTC

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New package MBRM with initial version 0.1.1
Package: MBRM
Title: Mixed Regression Models with Generalized Log-Gamma Random Effects
Version: 0.1.1
Author: Lizandra C. Fabio [aut], Vanessa Barros [aut], Cristian Lobos [aut], Jalmar M. F. Carrasco [aut, cre]
Maintainer: Jalmar M. F. Carrasco <carrasco.jalmar@ufba.br>
Description: Multivariate distribution derived from a Bernoulli mixed model under a marginal approach, incorporating a non-normal random intercept whose distribution is assumed to follow a generalized log-gamma (GLG) specification under a particular parameter setting. Estimation is performed by maximizing the log-likelihood using numerical optimization techniques (Lizandra C. Fabio, Vanessa Barros, Cristian Lobos, Jalmar M. F. Carrasco, Marginal multivariate approach: A novel strategy for handling correlated binary outcomes, 2025, under submission).
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp
Imports: Rcpp, stats, Formula, tibble, dplyr, ggplot2
Depends: R (>= 3.5)
NeedsCompilation: yes
Packaged: 2025-12-18 12:42:04 UTC; carra
Repository: CRAN
Date/Publication: 2025-12-22 19:50:07 UTC

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New package BootstrapTests with initial version 0.1.0
Package: BootstrapTests
Title: Bootstrap-Based Hypothesis Testing using Different Resampling Schemes
Version: 0.1.0
Description: Perform bootstrap-based hypothesis testing procedures on three statistical problems. In particular, it covers independence testing, testing the slope in a linear regression setting, and goodness-of-fit testing, following (Derumigny, Galanis, Schipper and Van der Vaart, 2025) <doi:10.48550/arXiv.2512.10546>.
License: GPL-3
URL: https://github.com/AlexisDerumigny/BootstrapTests
BugReports: https://github.com/AlexisDerumigny/BootstrapTests/issues
Imports: pbapply (>= 1.7.2), stats (>= 4.4.0)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-12-18 16:06:00 UTC; wiegerschipper
Author: Alexis Derumigny [aut] , Miltiadis Galanis [aut], Wieger Schipper [aut, cre] , Aad van der Vaart [aut]
Maintainer: Wieger Schipper <W.R.Schipper@tudelft.nl>
Repository: CRAN
Date/Publication: 2025-12-22 20:00:11 UTC

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New package manureshed with initial version 0.1.0
Package: manureshed
Title: Spatiotemporal Nutrient Balance Analysis Across Agricultural and Municipal Systems
Version: 0.1.0
Maintainer: Olatunde D. Akanbi <olatunde.akanbi@case.edu>
Description: A comprehensive framework for analyzing agricultural nutrient balances across multiple spatial scales (county, 'HUC8', 'HUC2') with integration of wastewater treatment plant ('WWTP') effluent loads for both nitrogen and phosphorus. Supports classification of spatial units as nutrient sources, sinks, or balanced areas based on agricultural surplus and deficit calculations. Includes visualization tools, spatial transition probability analysis, and nutrient flow network mapping. Built-in datasets include agricultural nutrient balance data from the Nutrient Use Geographic Information System ('NuGIS'; The Fertilizer Institute and Plant Nutrition Canada, 1987-2016) <https://nugis.tfi.org/tabular_data/> and U.S. Environmental Protection Agency ('EPA') wastewater discharge data from the 'ECHO' Discharge Monitoring Report ('DMR') Loading Tool (2007-2016) <https://echo.epa.gov/trends/loading-tool/water-pollution-search>. Data are downloaded on demand from the Open Science Framework ( [...truncated...]
License: MIT + file LICENSE
URL: https://osf.io/g39xa/
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: dplyr (>= 1.0.0), sf (>= 1.0.0), ggplot2 (>= 3.3.0), tidyr (>= 1.1.0), jsonlite (>= 1.7.0), rlang (>= 0.4.0), magrittr, scales (>= 1.1.0), igraph (>= 1.2.0), tigris (>= 1.5.0), stats, utils, tools
Suggests: nhdplusTools (>= 0.5.0), RColorBrewer (>= 1.1.0), cowplot (>= 1.1.0), ggpubr (>= 0.4.0), viridis (>= 0.6.0), testthat (>= 3.0.0), knitr, progress, rmarkdown
SystemRequirements: GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-17 18:15:16 UTC; oda10
Author: Olatunde D. Akanbi [aut, cre, cph] , Vibha Mandayam [aut] , Atharva Gupta [aut] , K. Colton Flynn [aut] , Jeffrey Yarus [aut] , Erika I. Barcelos [aut, cph] , Roger H. French [aut, cph]
Repository: CRAN
Date/Publication: 2025-12-22 18:10:02 UTC

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New package FMCensSkewReg with initial version 0.1.1
Package: FMCensSkewReg
Title: Finite Mixture of Censored Regression Models with Skewed Distributions
Version: 0.1.1
Author: Jiwon Park [aut, cre], Victor Hugo Lachos Davila [aut], Dipak Dey [aut]
Maintainer: Jiwon Park <pcjylove87@gmail.com>
Description: Provides an implementation of finite mixture regression models for censored data under four distributional families: Normal (FM-NCR), Student t (FM-TCR), skew-Normal (FM-SNCR), and skew-t (FM-STCR). The package enables flexible modeling of skewness and heavy tails often observed in real-world data, while explicitly accounting for censoring. Functions are included for parameter estimation via the Expectation-Maximization (EM) algorithm, computation of standard errors, and model comparison criteria such as the Akaike Information Criterion (AIC), the Bayesian Information Criterion (BIC), and the Efficient Determination Criterion (EDC). The underlying methodology is described in Park et al. (2024) <doi:10.1007/s00180-024-01459-4>.
License: MIT + file LICENSE
URL: https://github.com/JiwonPark41/FMCensSkewReg
BugReports: https://github.com/JiwonPark41/FMCensSkewReg/issues
Depends: R (>= 3.6.0)
Encoding: UTF-8
Imports: stats, mvtnorm, MomTrunc, mnormt, sn, truncdist, mixsmsn
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-12-17 14:21:11 UTC; jiwonpark
Repository: CRAN
Date/Publication: 2025-12-22 18:10:09 UTC

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New package AsianOption with initial version 0.1.0
Package: AsianOption
Title: Asian Option Pricing with Price Impact
Version: 0.1.0
Date: 2025-12-04
Maintainer: Priyanshu Tiwari <tiwari.priyanshu.iitk@gmail.com>
Description: Implements binomial tree pricing for geometric and arithmetic Asian options incorporating market price impact from hedging activities. Uses the Cox-Ross-Rubinstein (CRR) model with the replicating portfolio method. Provides exact pricing for geometric Asian options and bounds for arithmetic Asian options based on Jensen's inequality. The price impact mechanism models how hedging volumes affect stock prices, leading to modified risk-neutral probabilities. Based on the methodology described in Tiwari and Majumdar (2025) <doi:10.48550/arXiv.2512.07154>.
License: GPL (>= 3)
URL: https://github.com/plato-12/AsianOption
BugReports: https://github.com/plato-12/AsianOption/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: Rcpp (>= 1.0.0)
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), covr
NeedsCompilation: yes
Packaged: 2025-12-17 20:11:49 UTC; priyanshutiwari
Author: Priyanshu Tiwari [aut, cre] , Sourav Majumdar [ctb]
Repository: CRAN
Date/Publication: 2025-12-22 18:20:02 UTC

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New package weightedsurv with initial version 0.1.0
Package: weightedsurv
Title: Survival Analysis with Subject-Specific (Case Weights) and Time-Dependent Weighting
Version: 0.1.0
Description: Provides survival analysis functions with support for time-dependent and subject-specific (e.g., propensity score) weighting. Implements weighted estimation for Cox models, Kaplan-Meier survival curves, and treatment differences with point-wise and simultaneous confidence bands. Includes restricted mean survival time (RMST) comparisons evaluated across all potential truncation times with both point-wise and simultaneous confidence bands. See Cole, S. R. & Hernán, M. A. (2004) <doi:10.1016/j.cmpb.2003.10.004> for methodological background.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, graphics, rlang, stats, survival, utils
Suggests: adjustedCurves, data.table, DiagrammeR, dplyr, gt, knitr, pammtools, rmarkdown
URL: https://github.com/larry-leon/weightedsurv
BugReports: https://github.com/larry-leon/weightedsurv/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-16 22:36:01 UTC; larryleon
Author: Larry Leon [aut, cre]
Maintainer: Larry Leon <larry.leon.05@post.harvard.edu>
Repository: CRAN
Date/Publication: 2025-12-22 17:10:02 UTC

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New package TemporalForest with initial version 0.1.4
Package: TemporalForest
Title: Network-Guided Temporal Forests for Feature Selection in High-Dimensional Longitudinal Data
Version: 0.1.4
Description: Implements the Temporal Forest algorithm for feature selection in high-dimensional longitudinal data. The method combines time-aware network construction via weighted gene co-expression network analysis (WGCNA), module-based feature screening, and stability selection using tree-based models. This package provides tools for reproducible longitudinal analysis, closely following the methodology described in Shao, Moore, and Ramirez (2025) <https://github.com/SisiShao/TemporalForest>.
License: MIT + file LICENSE
URL: https://github.com/SisiShao/TemporalForest
BugReports: https://github.com/SisiShao/TemporalForest/issues
Encoding: UTF-8
Language: en-US
Imports: WGCNA, dynamicTreeCut, flashClust, glmertree, partykit, stats, graphics, grDevices,
Suggests: knitr, rmarkdown, igraph, Matrix, MASS
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-17 08:48:16 UTC; sisishao
Author: Sisi Shao [aut, cre] , Jason H. Moore [aut] , Christina M. Ramirez [aut]
Maintainer: Sisi Shao <sisishao@g.ucla.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-12-22 17:30:02 UTC

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New package RegEnRF with initial version 1.0.0
Package: RegEnRF
Title: Regression-Enhanced Random Forests
Version: 1.0.0
Description: A novel generalized Random Forest method, that can improve on RFs by borrowing the strength of penalized parametric regression. Based on Zhang et al. (2019) <doi:10.48550/arXiv.1904.10416>.
License: MIT + file LICENSE
BugReports: https://github.com/umbe1987/regenrf/issues
Imports: glmnet, randomForest
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
URL: https://github.com/umbe1987/regenrf
NeedsCompilation: no
Packaged: 2025-12-17 13:12:29 UTC; minorum
Author: Umberto Minora [aut, cre, cph]
Maintainer: Umberto Minora <umbertofilippo@tiscali.it>
Repository: CRAN
Date/Publication: 2025-12-22 18:00:08 UTC

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New package PlateVision with initial version 0.1.0
Package: PlateVision
Title: Automated qPCR Analysis and Visual Quality Control
Version: 0.1.0
Description: Directly pipes raw quantitative PCR (qPCR) machine outputs into downstream analyses using the comparative Ct (Delta-Delta Ct) method described by Livak and Schmittgen (2001) <doi:10.1006/meth.2001.1262>. Streamlines the workflow from 'Excel' export to publication-ready plots. Integrates unique visual quality control by reconstructing 96-well plate heatmaps, allowing users to instantly detect pipetting errors, edge effects, and outliers. Key features include automated error propagation, laboratory master mix calculations, and generation of bar charts and volcano plots.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, readxl, ggplot2, stringr, plotly
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-17 10:46:00 UTC; shubhamlove
Author: Shubham Love [aut, cre]
Maintainer: Shubham Love <shubhamlove2101@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-22 17:50:07 UTC

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New package pipr with initial version 1.4.0
Package: pipr
Title: Client for the Poverty and Inequality Platform ('PIP') API
Version: 1.4.0
Description: An interface to compute poverty and inequality indicators for more than 160 countries and regions from the World Bank's database of household surveys, through the Poverty and Inequality Portal (PIP).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://worldbank.github.io/pipr/, https://github.com/worldbank/pipr
BugReports: https://github.com/worldbank/pipr/issues
Suggests: covr, testthat (>= 3.0.0), spelling, knitr, rmarkdown, markdown, callr, ggplot2, tidyr, ggthemes, forcats, scales, dplyr, readr
Language: en-US
Imports: arrow, attempt, curl, jsonlite, tibble, purrr, cli, rlang, utils, httr2, stringr, vroom
Depends: R (>= 4.1.0)
Date: 2025-12-17
NeedsCompilation: no
Packaged: 2025-12-17 12:14:03 UTC; wb384996
Author: Tony Fujs [aut], Aleksander Eilertsen [aut], Ronak Shah [aut], R.Andres Castaneda [aut, cre], Giorgia Cecchinato [aut], World Bank [cph]
Maintainer: R.Andres Castaneda <acastanedaa@worldbank.org>
Repository: CRAN
Date/Publication: 2025-12-22 18:00:01 UTC

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New package oCELLoc with initial version 1.0.0
Package: oCELLoc
Title: Predicts Suitable Cell Types in Spatial Transcriptomics and scRNA-seq Data
Version: 1.0.0
Description: Picks the suitable cell types in spatial and scRNA-seq data using shrinkage methods. The package includes curated reference gene expression profiles for human and mouse cell types, facilitating immediate application to common spatial transcriptomics or scRNA datasets. Additionally, users can input custom reference data to support tissue- or experiment-specific analyses.
License: MIT + file LICENSE
URL: https://doi.org/10.64898/2025.12.11.693812
Encoding: UTF-8
Imports: glmnet, utils, stats, ggplot2, rlang, reshape2,
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
LazyData: true
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2025-12-17 06:14:28 UTC; vlaruks
Author: Afeefa Zainab [aut, cre] , Vladyslav Honcharuk [aut] , Alexis Vandenbon [aut]
Maintainer: Afeefa Zainab <afeeffazainab@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-22 17:20:02 UTC

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New package enrichit with initial version 0.0.8
Package: enrichit
Title: 'C++' Implementations of Functional Enrichment Analysis
Version: 0.0.8
Description: Fast implementations of functional enrichment analysis methods using 'C++' via 'Rcpp'. Currently provides Over-Representation Analysis (ORA) and Gene Set Enrichment Analysis (GSEA). The multilevel GSEA algorithm is derived from the 'fgsea' package. Methods are described in Subramanian et al. (2005) <doi:10.1073/pnas.0506580102> and Korotkevich et al. (2021) <doi:10.1101/060012>.
License: Artistic-2.0
Depends: R (>= 3.5.0)
Imports: methods, Rcpp (>= 1.0.10), stats, yulab.utils (> 0.2.1)
LinkingTo: Rcpp
Suggests: AnnotationDbi, clusterProfiler, DOSE, gson, qvalue, quarto, testthat
Encoding: UTF-8
VignetteBuilder: quarto
NeedsCompilation: yes
Packaged: 2025-12-17 01:10:20 UTC; HUAWEI
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-22 17:10:09 UTC

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New package contourforest with initial version 0.1.0
Package: contourforest
Title: Contour-Enhanced Forest Plots for Meta-Analysis
Version: 0.1.0
Description: Provides functions to create contour-enhanced forest plots for continuous and binary outcomes in meta-analysis, including options for prediction intervals, customized colors, and study labeling. Based on 'metafor' and 'ggplot2'.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, dplyr, metafor, stringr, grid
Depends: R (>= 4.0.0)
NeedsCompilation: no
Packaged: 2025-12-17 11:35:48 UTC; DR. Umar Hussain
Author: Umar Hussain [aut, cre]
Maintainer: Umar Hussain <drumarhussain@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-22 17:50:02 UTC

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New package citsr with initial version 0.1.3
Package: citsr
Title: Controlled Interrupted Time Series Analysis and Visualization
Version: 0.1.3
Description: Implements controlled interrupted time series (CITS) analysis for evaluating interventions in comparative time-series data. The package provides tools for preparing panel time-series datasets, fitting models using generalized least squares (GLS) with optional autoregressive–moving-average (ARMA) error structures, and computing fitted values and robust standard errors using cluster-robust variance estimators (CR2). Visualization functions enable clear presentation of estimated effects and counterfactual trajectories following interventions. Background on methods for causal inference in interrupted time series can be found in Linden and Adams (2011) <doi:10.1111/j.1365-2753.2010.01504.x> and Lopez Bernal, Cummins, and Gasparrini (2018) <doi:10.1093/ije/dyy135>.
License: MIT + file LICENSE
Imports: dplyr, nlme, clubSandwich, ggplot2, stats, AICcmodavg
Suggests: knitr, rmarkdown, lmtest, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-17 07:50:07 UTC; Gu
Author: Hanmin Gu [aut, cre]
Maintainer: Hanmin Gu <ghm21zzang@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-22 17:20:07 UTC

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Fri, 19 Dec 2025

New package tipse with initial version 1.1
Package: tipse
Title: Tipping Point Analysis for Survival Endpoints
Version: 1.1
Description: Implements tipping point sensitivity analysis for time-to-event endpoints under different missing data scenarios, as described in Oodally et al. (2025) <doi:10.48550/arXiv.2506.19988>. Supports both model-based and model-free imputation, multiple imputation workflows, plausibility assessment and visualizations. Enables robust assessment for regulatory and exploratory analyses.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
Imports: MASS, ggplot2, survival, dplyr, stats, utils, knitr, purrr, rmarkdown
VignetteBuilder: knitr
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-16 12:58:53 UTC; oodalaj1
Author: Ajmal Oodally [cre, aut] , Craig Wang [aut] , Zheng Li [ctb]
Maintainer: Ajmal Oodally <ajmal.oodally@novartis.com>
Repository: CRAN
Date/Publication: 2025-12-19 20:10:02 UTC

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New package readmit with initial version 0.0.1
Package: readmit
Title: Tools for Working with Hospital Readmissions Data
Version: 0.0.1
Description: Contains tools for working with and analyzing hospital readmissions data. The package provides utilities for components of the Hospital Readmissions Reduction Program (HRRP), including program timeline functions, Hospital-Specific Report (HSR) helpers, and general importing tools for the Provider Data Catalog (PDC).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, httr, readr, readxl, rlang, stringr, tibble, tidyr
Suggests: ggplot2, knitr, purrr, reactable, rmarkdown, testthat (>= 3.0.0)
URL: https://centralstatz.github.io/readmit/, https://github.com/centralstatz/readmit
Depends: R (>= 4.1.0)
LazyData: true
BugReports: https://github.com/centralstatz/readmit/issues
NeedsCompilation: no
Packaged: 2025-12-16 22:54:06 UTC; alexzajichek
Author: Alex Zajichek [aut, cre, cph]
Maintainer: Alex Zajichek <alex@centralstatz.com>
Repository: CRAN
Date/Publication: 2025-12-19 21:00:02 UTC

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New package mapycusmaximus with initial version 1.0.0
Package: mapycusmaximus
Title: Focus-Glue-Context Fisheye Transformations for Spatial Visualization
Version: 1.0.0
Description: Focus-glue-context (FGC) fisheye transformations to two-dimensional coordinates and spatial vector geometries. Implements a smooth radial distortion that enlarges a focal region, transitions through a glue ring, and preserves outside context. Methods build on generalized fisheye views and focus+context mapping. For more details see Furnas (1986) <doi:10.1145/22339.22342>, Furnas (2006) <doi:10.1145/1124772.1124921> and Yamamoto et al. (2009) <doi:10.1145/1653771.1653788>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, sf, lwgeom
Suggests: testthat (>= 3.0.0), dplyr, knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.6)
LazyData: true
LazyDataCompression: xz
URL: https://alex-nguyen-vn.github.io/mapycusmaximus/
BugReports: https://github.com/Alex-Nguyen-VN/mapycusmaximus/issues
NeedsCompilation: no
Packaged: 2025-12-16 13:13:36 UTC; thanh
Author: Alex Nguyen [aut, cre, cph], Dianne Cook [aut] , Michael Lydeamore [aut]
Maintainer: Alex Nguyen <thanhcuong10091992@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-19 20:10:07 UTC

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New package hybridEHR with initial version 0.1.0
Package: hybridEHR
Title: Synthetic Hybrid Electronic Health Records Dataset Generator with COVID/CT Research Views
Version: 0.1.0
Maintainer: Dennis Boadu <doboadu@st.ug.edu.gh>
Description: Tools to generate synthetic electronic health records including patients, encounters, vitals, labs, medications, procedures, and allergies, with optional COVID-19-focused and computed tomography (CT)-research views, and export them to comma separated values ('CSV'), 'SQLite', and 'Excel' formats for researchers and developers.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, tidyr, tibble, lubridate, jsonlite, openxlsx, DBI, RSQLite, magrittr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-16 21:34:38 UTC; dennisboadu
Author: Dennis Boadu [aut, cre], Isaac Osei [aut], Justice Appati [aut]
Repository: CRAN
Date/Publication: 2025-12-19 21:00:09 UTC

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New package fitPlotR with initial version 0.1.0
Package: fitPlotR
Title: Plotting Probability Distributions
Version: 0.1.0
Description: Provides functions for plotting probability density functions, distribution functions, survival functions, hazard functions and computing distribution moments. The implementation is inspired by Delignette-Muller and Dutang (2015) <doi:10.18637/jss.v064.i04>.
License: GPL-3
Encoding: UTF-8
Imports: grDevices, graphics, stats
NeedsCompilation: no
Packaged: 2025-12-16 19:17:18 UTC; swiss computer
Author: Muhammad Osama [aut, cre]
Maintainer: Muhammad Osama <muhammadosama0846@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-19 20:50:02 UTC

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New package eVCGsampler with initial version 0.9.2
Package: eVCGsampler
Title: VCG Sampling using Energy-Based Covariate Balancing
Version: 0.9.2
Description: Provides a principled framework for sampling Virtual Control Group (VCG) using energy distance-based covariate balancing. The package offers visualization tools to assess covariate balance and includes a permutation test to evaluate the statistical significance of observed deviations.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: ggplot2
Imports: ggforce, osqp, patchwork
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-16 15:18:45 UTC; I0559285
Author: Andreas Schulz [aut, cre] , Sanofi [cph, fnd]
Maintainer: Andreas Schulz <andreas.schulz2@sanofi.com>
Repository: CRAN
Date/Publication: 2025-12-19 20:10:17 UTC

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New package ECDFniche with initial version 0.1.0
Package: ECDFniche
Title: Empirical Cumulative Distribution Function Niche Modeling Tools
Version: 0.1.0
Description: Simulate ecological niche models using Mahalanobis distance, transform distances to suitability with 1 - empirical cumulative distribution function and 1 - chi-squared, and generate comparison figures.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: ggplot2, lemon, MASS, stats
Suggests: knitr, rmarkdown, roxyglobals, tictoc
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-16 16:17:01 UTC; luizesser
Author: Dayani Bailly [aut] , Marcos R. Lima [aut] , Reginaldo Re [aut] , Luiz Fernando Esser [aut, cre, cph]
Maintainer: Luiz Fernando Esser <luizesser@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-19 20:20:22 UTC

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New package bivarhr with initial version 0.1.5
Package: bivarhr
Title: Bivariate Hurdle Regression with Bayesian Model Averaging
Version: 0.1.5
Description: Provides tools for fitting bivariate hurdle negative binomial models with horseshoe priors, Bayesian Model Averaging (BMA) via stacking, and comprehensive causal inference methods including G-computation, transfer entropy, Threshold Vector Autoregressive (TVAR) and Smooth Transition Autoregressive (STAR) models, Dynamic Bayesian Networks (DBN), Hidden Markov Models (HMM), and sensitivity analysis.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, utils, grDevices, dplyr (>= 1.1.0), rlang, data.table (>= 1.14.0), tidyr, tibble, readr, cli, furrr, future, future.apply, posterior, loo (>= 2.5.0), progressr
Suggests: cmdstanr, testthat (>= 3.0.0), MASS, RTransferEntropy, bnlearn, depmixS4, sensemakr, CausalImpact, bsts, vars, tsDyn, openxlsx, ggplot2, bayesplot, Rgraphviz
Additional_repositories: https://stan-dev.r-universe.dev
NeedsCompilation: no
Packaged: 2025-12-16 15:52:20 UTC; ROG
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>
Repository: CRAN
Date/Publication: 2025-12-19 20:20:16 UTC

More information about bivarhr at CRAN
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