CRANberries

Thu, 12 Feb 2026

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Wed, 11 Feb 2026

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

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

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

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

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

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New package likelihood.model with initial version 0.9.1
Package: likelihood.model
Title: Likelihood-Based Statistical Inference in the Fisherian Tradition
Version: 0.9.1
Description: Facilitates building likelihood models in the Fisherian tradition following Richard Royall (1997, ISBN:978-0412044113) "Statistical Evidence: A Likelihood Paradigm". Defines generic methods for working with likelihoods (loglik(), score(), hess_loglik(), fim()) and provides functions for pure likelihood-based inference (support(), relative_likelihood(), likelihood_interval(), profile_loglik()). Includes a likelihood contributions model for heterogeneous observation types (exact, censored, etc.) assuming i.i.d. data.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: algebraic.mle, mvtnorm, generics, stats, numDeriv, boot, R6
URL: https://github.com/queelius/likelihood.model, https://queelius.github.io/likelihood.model/
BugReports: https://github.com/queelius/likelihood.model/issues
Suggests: algebraic.dist, rmarkdown, dplyr, knitr, tibble, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-07 22:57:26 UTC; spinoza
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>
Repository: CRAN
Date/Publication: 2026-02-11 19:10:02 UTC

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New package geobounds with initial version 0.1.0
Package: geobounds
Title: Download Map Data from 'geoBoundaries'
Version: 0.1.0
Description: Tools to download data from 'geoBoundaries' <https://www.geoboundaries.org/>. Several administration levels available. See Runfola, D. et al. (2020) geoBoundaries: A global database of political administrative boundaries. PLOS ONE 15(4): 1-9. <doi:10.1371/journal.pone.0231866>.
License: CC BY 4.0
URL: https://dieghernan.github.io/geobounds/, https://github.com/dieghernan/geobounds
BugReports: https://github.com/dieghernan/geobounds/issues
Depends: R (>= 4.1.0)
Imports: cli, countrycode, dplyr, httr2 (>= 1.0.0), sf, tools, utils
Suggests: ggplot2, jsonlite, knitr, rmarkdown, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
Copyright: Attribution required. See file COPYRIGHTS for specific provisions.
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-02-09 05:37:13 UTC; diego
Author: Diego Hernangomez [aut, cre, cph] , William and Mary geoLab [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-11 20:00:02 UTC

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New package firmmatchr with initial version 0.1.2
Package: firmmatchr
Title: Robust Probabilistic Matching for German Company Names
Version: 0.1.2
Description: A pipeline for matching messy company name strings against a clean dictionary (e.g., 'Orbis'). Implements a cascading strategy: Exact -> Fuzzy ('zoomerjoin') -> 'FTS5' ('SQLite') -> Rarity Weighted. References: Beniamino Green (2025) <https://beniamino.org/zoomerjoin/>; <https://www.sqlite.org/fts5.html>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table, stringi, stringdist, zoomerjoin, DBI, RSQLite, cli, progressr, httr, jsonlite, glue, purrr, readr, dplyr
Suggests: testthat
NeedsCompilation: no
Packaged: 2026-02-08 23:26:30 UTC; giulianetinginfrati
Author: Giulian Etingin-Frati [aut, cre]
Maintainer: Giulian Etingin-Frati <etingin-frati@kof.ethz.ch>
Repository: CRAN
Date/Publication: 2026-02-11 19:50:07 UTC

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New package dtaudit with initial version 0.1.1
Package: dtaudit
Title: Audit and Diagnostic Tools for 'data.table' Workflows
Version: 0.1.1
Description: Diagnostic tools for auditing data analysis workflows built on 'data.table'. Provides functions to validate join operations, compare data.tables, filter with diagnostic output, summarize data quality, check primary keys and variable relationships, and diagnose string columns. Designed to help analysts understand and document data transformations.
License: LGPL (>= 3)
Encoding: UTF-8
Imports: data.table, stringi
URL: https://github.com/fpcordeiro/dtaudit
BugReports: https://github.com/fpcordeiro/dtaudit/issues
Suggests: knitr, pbapply, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-08 21:14:35 UTC; fernando
Author: Fernando Cordeiro [aut, cre, cph]
Maintainer: Fernando Cordeiro <fernandolpcordeiro@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-11 20:00:09 UTC

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New package cnefetools with initial version 0.2.0
Package: cnefetools
Title: Access and Analysis of Brazilian CNEFE Address Data
Version: 0.2.0
Description: Download, cache and read municipality-level address data from the Cadastro Nacional de Enderecos para Fins Estatisticos (CNEFE) of the 2022 Brazilian Census, published by the Instituto Brasileiro de Geografia e Estatistica (IBGE) <https://ftp.ibge.gov.br/Cadastro_Nacional_de_Enderecos_para_Fins_Estatisticos/>. Beyond data access, provides spatial aggregation of addresses, computation of land-use mix indices, and dasymetric interpolation of census tract variables using CNEFE dwelling points as ancillary data. Results can be produced on 'H3' hexagonal grids or user-supplied polygons, and heavy operations leverage a 'DuckDB' backend with extensions for fast, in-process execution.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/pedreirajr/cnefetools, https://pedreirajr.github.io/cnefetools/
BugReports: https://github.com/pedreirajr/cnefetools/issues
Suggests: ggplot2, kableExtra, knitr, leafsync, mapview, odbr, rmarkdown, scales, testthat (>= 3.0.0), zip
Depends: R (>= 4.1.0)
Imports: arrow, dplyr, sf, geobr, lifecycle, rlang, h3jsr, tidyr, DBI, duckdb, duckspatial, cli (>= 3.6.0), checkmate, fs, httr2, piggyback
LazyData: true
NeedsCompilation: no
Packaged: 2026-02-07 18:55:43 UTC; jorge
Author: Jorge Ubirajara Pedreira Junior [aut, cre, cph] , Bruno Mioto [aut], Kaio Cunha Pedreira [ctb]
Maintainer: Jorge Ubirajara Pedreira Junior <jorge.ubirajara@ufba.br>
Repository: CRAN
Date/Publication: 2026-02-11 20:00:15 UTC

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New package aesopR with initial version 0.1.0
Package: aesopR
Title: Tools for Text Analysis of Aesop's Fables
Version: 0.1.0
Description: Provides a tidy text corpus of Aesop's Fables sourced from the Library of Congress, along with analysis-ready datasets for sentiment, emotion, and linguistic analysis of moral storytelling. The package includes both full narrative texts and word-level representations to support exploratory text analysis and teaching workflows.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Suggests: dplyr
NeedsCompilation: no
Packaged: 2026-02-08 16:53:56 UTC; davidbrocker
Author: Dave Brocker [aut, cre]
Maintainer: Dave Brocker <davidabrocker@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-11 19:50:12 UTC

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Tue, 10 Feb 2026

New package rFAMS with initial version 0.0.2
Package: rFAMS
Version: 0.0.2
Date: 2026-1-13
Title: Fisheries Analysis and Modeling Simulator
Description: Simulates the dynamics of exploited fish populations using the Jones modification of the Beverton-Holt equilibrium yield equation to compute yield-per-recruit and dynamic pool models (Ricker 1975) <https://publications.gc.ca/site/eng/480738/publication.html>. Allows users to evaluate minimum, slot, and inverted length limits on exploited fisheries using specified life history parameters. Users can simulate population under a variety of conditional fishing mortality and conditional natural mortality. Calculated quantities include number of fish harvested and dying naturally, mean weight and length of fish harvested, number of fish that reach specified lengths of interest, total number of fish and biomass in the population, and stock density indices.
URL: https://github.com/fishR-Core-Team/rFAMS/
BugReports: https://github.com/fishR-Core-Team/rFAMS/issues
License: GPL (>= 2)
Depends: R (>= 4.1.0)
Imports: stats, purrr, FSA
Suggests: dplyr, ggplot2, metR, knitr, rmarkdown, testthat (>= 3.0.0), zipfR, quarto, FSAdata, tidyr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-20 14:51:23 UTC; jason.doll
Author: Jason C. Doll [aut, cre], Derek H. Ogle [aut]
Maintainer: Jason C. Doll <jcdoll20@hotmail.com>
Repository: CRAN
Date/Publication: 2026-02-10 21:30:02 UTC

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New package nabla with initial version 0.7.1
Package: nabla
Title: Exact Derivatives via Automatic Differentiation
Version: 0.7.1
URL: https://github.com/queelius/nabla, https://metafunctor.com
BugReports: https://github.com/queelius/nabla/issues
Description: Exact automatic differentiation for R functions. Provides a composable derivative operator D that computes gradients, Hessians, Jacobians, and arbitrary-order derivative tensors at machine precision. D(D(f)) gives Hessians, D(D(D(f))) gives third-order tensors for skewness of maximum likelihood estimators, and so on to any order. Works through any R code including loops, branches, and control flow.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0), methods
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-07 22:22:33 UTC; spinoza
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <queelius@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-10 21:30:09 UTC

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New package measureR with initial version 0.0.1
Package: measureR
Title: Tools for Educational and Psychological Measurement
Version: 0.0.1
Description: 'Provides an interactive toolkit for educational and psychological measurement implemented using the 'shiny' framework. The package supports content validity analysis, dimensionality assessment, and Classical Test Theory using the 'CTT' package (Willse, 2018) <doi:10.32614/CRAN.package.CTT>.Item Response Theory (IRT) analyses are conducted via 'mirt' (Chalmers, 2012) <doi:10.18637/jss.v048.i06>. Exploratory Factor Analysis is performed using 'psych' (Revelle, 2025), while Confirmatory Factor Analysis and Structural Equation Modeling are based on the 'lavaan' framework (Rosseel, 2012) <doi:10.18637/jss.v048.i02>. The application allows users to upload data, evaluate statistical models, visualize results, and export outputs through an intuitive graphical interface without requiring programming experience.
License: MIT + file LICENSE
Depends: R (>= 4.0.0)
Encoding: UTF-8
Imports: colourpicker, CTT, data.table, dplyr, DT, ggplot2, lavaan, mirt, psych, purrr, readr, readxl, rlang, semPlot, semptools, shiny, shinyWidgets, stats, stringr, tibble, tidyr, tidyverse, viridisLite
Suggests: knitr, pkgdown, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/hdmeasure/measureR
BugReports: https://github.com/hdmeasure/measureR/issues
NeedsCompilation: no
Packaged: 2026-02-07 22:58:06 UTC; hasandjidu
Author: Hasan Djidu [aut, cre]
Maintainer: Hasan Djidu <hasandjidu@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-10 21:40:02 UTC

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New package ti with initial version 4.0.0
Package: ti
Title: Time Intelligence and Customer Segmentation for Financial Analysis
Description: Calculate time intelligence metrics for financial planning and analysis. 'ti' provides functions for period-over-period comparisons (year-over-year, month-over-month), period-to-date calculations (YTD, MTD, QTD), and customer segmentation (ABC analysis, cohorts). Supports standard and retail calendars (4-4-5, 4-5-4, 5-4-4) with both in-memory and database backends via 'dbplyr'.
Version: 4.0.0
License: MIT + file LICENSE
Encoding: UTF-8
Imports: assertthat, cli, DBI, dbplyr, dplyr, duckdb, glue, janitor, lubridate, rlang, S7, scales, tidyr
Suggests: testthat (>= 3.0.0), cohorts, quarto, devtools, tibble, gt, fansi, crayon, contoso
Depends: R (>= 4.2.0)
URL: https://codeberg.org/usrbinr/ti
Repository: CRAN
NeedsCompilation: no
Packaged: 2026-02-07 05:22:48 UTC; hagan
Author: Alejandro Hagan [aut, cre]
Maintainer: Alejandro Hagan <alejandro.hagan@outlook.com>
Date/Publication: 2026-02-10 20:30:02 UTC

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New package PolyMigR with initial version 0.1.0
Package: PolyMigR
Title: Analysis of Polyphenol Migration from Packaging Films
Version: 0.1.0
Maintainer: Tanuj Misra <tanujmisra102@gmail.com>
Description: The gradual release of active substances from packaging can enhance food preservation by maintaining high concentrations of polyphenols and antioxidants for a period of 72 hrs. To assess the effectiveness of packaging materials that serve as carriers for antioxidants, it is crucial to model the diffusivity of the active agents. Understanding this diffusivity helps evaluate the packaging's capacity to prolong the shelf life of food items. The process of migration, which encompasses diffusion, dissolution, and reaching equilibrium, facilitates the transfer of low molecular weight compounds from the packaging into food simulants. The rate at which these active compounds are released from the packaging is typically analysed using food simulants under conditions outlined in European food packaging regulations (Ramos et al., 2014).
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-02-07 12:09:50 UTC; PC
Author: Anamika Nayak [aut, ctb, cph], Debjani Dutta [aut, ctb, cph], Ajaya Rout [aut, ctb, cph], Tanuj Misra [aut, cre, ctb, cph], Satya Narayan Parida [aut, ctb, cph]
Repository: CRAN
Date/Publication: 2026-02-10 20:50:01 UTC

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New package LitFetchR with initial version 0.2.1
Package: LitFetchR
Title: Automatically Fetching References Metadata from Literature Databases
Version: 0.2.1
Maintainer: Thomas Dumond <thomas.dumond@adelaide.edu.au>
Description: Provides functions to automatically retrieve and deduplicate reference metadata based on saved search strings. Access to Web of Science and Scopus requires personal API keys, while PubMed can be queried without one. The optional deduplication functionality requires the package 'ASySD' available from <https://github.com/camaradesuk/ASySD>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, httr, jsonlite, openxlsx, purrr, readxl, xml2
Suggests: ASySD, cronR, knitr, rmarkdown, taskscheduleR, testthat (>= 3.0.0)
URL: https://github.com/thomasdumond/LitFetchR, https://thomasdumond.github.io/LitFetchR/
BugReports: https://github.com/thomasdumond/LitFetchR/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-07 11:09:31 UTC; a1224158
Author: Thomas Dumond [cre, aut, cph] , Charles Caraguel [ctb] , Torben Nielsen [ctb]
Repository: CRAN
Date/Publication: 2026-02-10 20:40:02 UTC

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New package clmstan with initial version 0.1.0
Package: clmstan
Title: Cumulative Link Models with 'CmdStanR'
Version: 0.1.0
Author: Tomotaka Momozaki [aut, cre]
Maintainer: Tomotaka Momozaki <momozaki.stat@gmail.com>
Description: Fits cumulative link models (CLMs) for ordinal categorical data using 'CmdStanR'. Supports various link functions including logit, probit, cloglog, loglog, cauchit, and flexible parametric links such as Generalized Extreme Value (GEV), Asymmetric Exponential Power (AEP), and Symmetric Power. Models are pre-compiled using the 'instantiate' package for fast execution without runtime compilation. Methods are described in Agresti (2010, ISBN:978-0-470-08289-8), Wang and Dey (2011) <doi:10.1007/s10651-010-0154-8>, and Naranjo, Perez, and Martin (2015) <doi:10.1007/s11222-014-9449-1>.
License: MIT + file LICENSE
URL: https://t-momozaki.github.io/clmstan/, https://github.com/t-momozaki/clmstan
BugReports: https://github.com/t-momozaki/clmstan/issues
Depends: R (>= 4.0.0)
Imports: instantiate, posterior, bayesplot, loo, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ordinal, cmdstanr (>= 0.9.0)
Additional_repositories: https://stan-dev.r-universe.dev
SystemRequirements: CmdStan (https://mc-stan.org/users/interfaces/cmdstan)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-02-07 00:22:17 UTC; t_momozaki
Repository: CRAN
Date/Publication: 2026-02-10 20:20:02 UTC

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New package BCFM with initial version 1.0.0
Package: BCFM
Title: Bayesian Clustering Factor Models
Version: 1.0.0
Description: Implements the Bayesian Clustering Factor Models (BCFM) for simultaneous clustering and latent factor analysis of multivariate longitudinal data. The model accounts for within-cluster dependence through shared latent factors while allowing heterogeneity across clusters, enabling flexible covariance modeling in high-dimensional settings. Inference is performed using Markov chain Monte Carlo (MCMC) methods with computationally intensive steps implemented via 'Rcpp'. Model selection and visualization tools are provided. The methodology is described in Shin, Ferreira, and Tegge (2018) <doi:10.1002/sim.70350>.
License: GPL (>= 3)
SystemRequirements: pandoc (>= 1.12.3) for building vignettes
Imports: Rcpp, RcppArmadillo, dplyr, fastmatrix, ggplot2, grDevices, gridExtra, LaplacesDemon, mvtnorm, psych, RColorBrewer, stats, tidyr, ggpubr, tibble
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
URL: https://github.com/ategge/BCFM
BugReports: https://github.com/ategge/BCFM/issues
NeedsCompilation: yes
Packaged: 2026-02-07 03:28:36 UTC; meriem
Author: Allison Tegge [aut], Marco Ferreira [aut], Hwasoo Shin [aut], Meriem Touami [aut, cre]
Maintainer: Meriem Touami <meriemt@vt.edu>
Repository: CRAN
Date/Publication: 2026-02-10 20:20:10 UTC

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New package archipelago with initial version 0.1.0
Package: archipelago
Title: Visualising Variant Set Association Test Results
Version: 0.1.0
License: MIT + file LICENSE
Language: en-GB
Description: Provides a graphical method for joint visualisation of Variant Set Association Test (VSAT) results and individual variant association statistics. The Archipelago method assigns genomic coordinates to variant set statistics, allowing simultaneous display of variant-level and set-level signals in a unified plot. This supports interpretation of both collective and individual variant contributions in genetic association studies using variant aggregation approaches. For more see Lawless et al. (2026) <doi:10.1002/gepi.70025>.
Encoding: UTF-8
Imports: ggplot2, dplyr
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-02-07 16:48:28 UTC; akira
Author: Dylan Lawless [aut, cre, cph]
Maintainer: Dylan Lawless <admin@switzerlandomics.ch>
Repository: CRAN
Date/Publication: 2026-02-10 21:00:02 UTC

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Mon, 09 Feb 2026

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Sun, 08 Feb 2026

New package shinyEditor with initial version 0.1.0
Package: shinyEditor
Title: 'Ace' and 'Monaco' Editors Bindings for 'shiny' Application
Version: 0.1.0
Date: 2026-02-05
Maintainer: zearoby <949386232@qq.com>
Description: 'Ace' and 'Monaco' editor bindings to enable a rich text widget within 'shiny' application and provide more features, e.g. text comparison, spell checking and an extra 'SAS' code highlight mode.
License: MIT + file LICENSE
URL: https://github.com/zearoby/shinyEditor
BugReports: https://github.com/zearoby/shinyEditor/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: htmlwidgets, jsonlite, memoise, shinyjs, shiny, systemfonts, methods, yaml
Suggests: devtools, testthat
NeedsCompilation: no
Packaged: 2026-02-05 01:51:51 UTC; admin
Author: zearoby [aut, cre]
Repository: CRAN
Date/Publication: 2026-02-08 17:00:03 UTC

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New package scaledescr with initial version 0.1.3
Package: scaledescr
Title: Descriptive, Reliability, and Inferential Tables for Psychometric Scales and Demographic Data
Version: 0.1.3
Description: Provides functions to format and summarise already computed outputs from commonly used statistical and psychometric functions into compact, single-row tables and simple graphs, with utilities to export results to CSV, Word, and Excel formats. The package does not implement new statistical methods or estimation procedures; instead, it organises and presents results obtained from existing functions such as psych::describe(), psych::alpha(), stats::t.test(), and gtsummary::tbl_summary() to streamline reporting workflows in clinical and psychological research.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, gtsummary, purrr, rlang, stats, officer, openxlsx, utils
Suggests: psych, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-05 03:12:52 UTC; HP
Author: Darshan Dharaiya [aut, cre]
Maintainer: Darshan Dharaiya <dharaiya.darshan@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-02-08 17:00:10 UTC

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New package roadDB with initial version 0.1.0
Package: roadDB
Title: Access Data from the ROCEEH Out of Africa Database (ROAD)
Version: 0.1.0
Maintainer: Christian Sommer <christian.sommer@uni-tuebingen.de>
Description: Provides an R interface to the ROCEEH Out of Africa Database (ROAD) (<https://www.roceeh.uni-tuebingen.de/roadweb/smarty_road_simple_search.php>), a comprehensive resource for archaeological, anthropological, paleoenvironmental and geographic data from Africa and Eurasia dating from 3,000,000 to 20,000 years BP. The package allows users to retrieve data from the online database at different levels of detail and customize search requests. Functions return `data frame` objects compatible with other R packages used in prehistoric and paleoenvironmental science, supporting reproducible workflows as an input provider.
License: CC BY-SA 4.0
Encoding: UTF-8
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
Imports: RPostgres, assertthat, utils, dplyr, stringr, glue
NeedsCompilation: no
Packaged: 2026-02-04 13:29:53 UTC; somme
Author: Zara Kanaeva [aut] , Andrew Kandel [ctb] , Jesper Borre Pedersen [aut] , Christian Sommer [aut, cre] , Timo Patrick Streicher [aut] , Research Center: The Role of Culture in Early Expansions of Humans [cph], Heidelberg Academy of Sciences and Humani [...truncated...]
Repository: CRAN
Date/Publication: 2026-02-08 16:10:02 UTC

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New package QuantileOnQuantile with initial version 1.0.3
Package: QuantileOnQuantile
Title: Quantile-on-Quantile Regression Analysis
Version: 1.0.3
Description: Implements the Quantile-on-Quantile (QQ) regression methodology developed by Sim and Zhou (2015) <doi:10.1016/j.jbankfin.2015.01.013>. QQ regression estimates the effect that quantiles of one variable have on quantiles of another, capturing the dependence between distributions. The package provides functions for QQ regression estimation, 3D surface visualization with 'MATLAB'-style color schemes ('Jet', 'Viridis', 'Plasma'), heatmaps, contour plots, and quantile correlation analysis. Uses 'quantreg' for quantile regression and 'plotly' for interactive visualizations. Particularly useful for examining relationships between financial variables, oil prices, and stock returns under different market conditions.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Author: Merwan Roudane [aut, cre, cph], Nicholas Sim [ctb] , Hongtao Zhou [ctb]
Maintainer: Merwan Roudane <merwanroudane920@gmail.com>
Imports: quantreg (>= 5.0), plotly (>= 4.0.0), stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), htmlwidgets
VignetteBuilder: knitr
URL: https://github.com/merwanroudane/qq
BugReports: https://github.com/merwanroudane/qq/issues
NeedsCompilation: no
Packaged: 2026-02-04 18:40:54 UTC; merwan
Repository: CRAN
Date/Publication: 2026-02-08 16:40:02 UTC

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New package HNPclassifier with initial version 0.1.0
Package: HNPclassifier
Title: Hierarchical Neyman-Pearson Classification for Ordered Classes
Version: 0.1.0
Description: The Hierarchical Neyman-Pearson (H-NP) classification framework extends the Neyman-Pearson classification paradigm to multi-class settings where classes have a natural priority ordering. This is particularly useful for classification in unbalanced dataset, for example, disease severity classification, where under-classification errors (misclassifying patients into less severe categories) are more consequential than other misclassifications. The package implements H-NP umbrella algorithms that controls under-classification errors under user specified control levels with high probability. It supports the creation of H-NP classifiers using scoring functions based on built-in classification methods (including logistic regression, support vector machines, and random forests), as well as user-trained scoring functions. For theoretical details, please refer to Lijia Wang, Y. X. Rachel Wang, Jingyi Jessica Li & Xin Tong (2024) <doi:10.1080/01621459.2023.2270657>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, e1071, nnet, randomForest
NeedsCompilation: no
Packaged: 2026-02-04 18:16:28 UTC; scsma
Author: Che Shen [aut, cre] , Lujia Yang [aut] , Lijia Wang [aut] , Shunan Yao [aut]
Maintainer: Che Shen <chshen3-c@my.cityu.edu.hk>
Repository: CRAN
Date/Publication: 2026-02-08 16:40:07 UTC

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New package fuzzystring with initial version 0.0.1
Package: fuzzystring
Title: Fast Fuzzy String Joins for Data Frames
Version: 0.0.1
Description: Perform fuzzy joins on data frames using approximate string matching. Implements all standard join types (inner, left, right, full, semi, anti) with support for multiple string distance metrics from the 'stringdist' package including Levenshtein, Damerau-Levenshtein, Jaro-Winkler, and Soundex. Features a high-performance 'data.table' backend with 'C++' row binding for efficient processing of large datasets. Ideal for matching misspellings, inconsistent labels, messy user input, or reconciling datasets with slight variations in identifiers. Optionally returns distance metrics alongside matched records.
License: MIT + file LICENSE
Depends: R (>= 4.1)
Imports: data.table, Rcpp, stringdist
LinkingTo: Rcpp
Suggests: dplyr, ggplot2, knitr, qdapDictionaries, readr, rmarkdown, rvest, stringr, testthat (>= 3.0.0), tidyr
Encoding: UTF-8
LazyData: true
URL: https://github.com/PaulESantos/fuzzystring, https://paulesantos.github.io/fuzzystring/
BugReports: https://github.com/PaulESantos/fuzzystring/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-02-05 01:33:47 UTC; PC
Author: Paul E. Santos Andrade [aut, cre] , David Robinson [ctb]
Maintainer: Paul E. Santos Andrade <paulefrens@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-08 17:00:15 UTC

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New package bunddev with initial version 0.1.0
Package: bunddev
Title: Discover and Call 'Bund.dev' APIs
Version: 0.1.0
Author: Michael Buecker [aut, cre]
Maintainer: Michael Buecker <michael.buecker@fh-muenster.de>
Depends: R (>= 4.1.0)
Description: Provides a registry of APIs listed on <https://bund.dev> and a core 'OpenAPI' client layer to explore specs and perform requests. Adapter helpers return tidy tibbles for supported APIs, with optional response caching and rate limiting guidance.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0), withr
Imports: cli, dplyr, httr2, jsonlite, purrr, rlang, stringr, tibble, tidyr, tools, xml2, yaml
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-02-04 19:46:14 UTC; michael
Repository: CRAN
Date/Publication: 2026-02-08 16:50:02 UTC

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Sat, 07 Feb 2026

New package SppTrend with initial version 0.4
Package: SppTrend
Title: Analyzing Linear Trends in Species Occurrence Data
Version: 0.4
Description: Provides a methodology to analyze how species occurrences change over time, particularly in relation to spatial and thermal factors. It facilitates the development of explanatory hypotheses about the impact of environmental shifts on species by analyzing historical presence data that includes temporal and geographic information. Approach described in Lobo et al., 2023 <doi:10.1002/ece3.10674>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), devtools
Imports: dplyr, tidyr, terra, stats, stringr, tidyselect, ggplot2, patchwork, sf
NeedsCompilation: no
Packaged: 2026-02-04 09:15:16 UTC; mario
Author: Mario Mingarro [aut, cre] , Emilio Garcia-Rosello [aut] , Jorge M. Lobo [aut]
Maintainer: Mario Mingarro <mario_mingarro@mncn.csic.es>
Repository: CRAN
Date/Publication: 2026-02-07 12:50:02 UTC

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New package readosense with initial version 0.0.1
Package: readosense
Title: Imports Log and Data Files from Eosense Flux Chambers
Version: 0.0.1
Date: 2026-01-30
Description: Imports log and data files from "Eosense" ecosystem gas flux chambers into dataframes that can directly be used with "fluxible" by Gaudard et al (2025) <doi:10.1111/2041-210X.70161>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, lubridate, purrr, readr, rlang, tidyr
Suggests: testthat (>= 3.0.0)
Depends: R (>= 4.1)
URL: https://jogaudard.github.io/readosense/
BugReports: https://github.com/jogaudard/readosense/issues
NeedsCompilation: no
Packaged: 2026-02-04 09:45:54 UTC; jga051
Author: Joseph Gaudard [aut, cre]
Maintainer: Joseph Gaudard <joseph.gaudard@pm.me>
Repository: CRAN
Date/Publication: 2026-02-07 12:40:02 UTC

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New package optimflex with initial version 0.1.0
Package: optimflex
Title: Derivative-Based Optimization with User-Defined Convergence Criteria
Version: 0.1.0
Description: Provides a derivative-based optimization framework that allows users to combine eight convergence criteria. Unlike standard optimization functions, this package includes a built-in mechanism to verify the positive definiteness of the Hessian matrix at the point of convergence. This additional check helps prevent the solver from falsely identifying non-optimal solutions, such as saddle points, as valid minima.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: numDeriv, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-04 07:35:53 UTC; bene
Author: Eunseong Cho [aut, cre]
Maintainer: Eunseong Cho <bene@kw.ac.kr>
Repository: CRAN
Date/Publication: 2026-02-07 12:40:07 UTC

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Fri, 06 Feb 2026

New package whisper with initial version 0.1.0
Package: whisper
Title: Native R 'torch' Implementation of 'OpenAI' 'Whisper'
Version: 0.1.0
Description: Speech-to-text transcription using a native R 'torch' implementation of 'OpenAI' 'Whisper' model <https://github.com/openai/whisper>. Supports multiple model sizes from tiny (39M parameters) to large-v3 (1.5B parameters) with integrated download from 'HuggingFace' <https://huggingface.co/> via the 'hfhub' package. Provides automatic speech recognition with optional language detection and translation to English. Audio preprocessing, mel spectrogram computation, and transformer-based encoder-decoder inference are all implemented in R using the 'torch' package.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/cornball-ai/whisper
BugReports: https://github.com/cornball-ai/whisper/issues
Imports: torch, av, jsonlite, hfhub, safetensors, stats, utils
Suggests: tinytest
NeedsCompilation: no
Packaged: 2026-02-04 01:07:15 UTC; troy
Author: Troy Hernandez [aut, cre], cornball.ai [cph], OpenAI [cph] )
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-02-06 20:00:02 UTC

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New package vascr with initial version 0.1.4
Package: vascr
Title: Process Biological Impedance Sensing Data
Version: 0.1.4
Description: Process complex impedance sensing datasets, including those generated by ECIS, xCELLigence and cellZscope instruments. Data can be imported to a standardised tidy format and then plotted. Support for conducting and plotting the outputs of ANOVA (with appropriate tests of statistical assumptions) and cross-correlation analysis. For data processed using this package see Hucklesby et al. (2020) <doi:10.3390/bios11050159>.
License: GPL (>= 3)
URL: https://github.com/JamesHucklesby/vascr
BugReports: https://github.com/JamesHucklesby/vascr/issues
Depends: R (>= 3.6)
Imports: cli, dplyr, doFuture, foreach, furrr, ggnewscale, ggplot2, ggpubr, progressr, ggtext, glue, memoise, multcomp, patchwork, rlang, rstatix, stringr, tidyr, utils, ggrepel, nlme
Suggests: bslib, DBI, DT, data.table, future, odbc, purrr, readr, readxl, shiny, shinyjs, testthat (>= 3.0.0), vdiffr, writexl, testthat, diffviewer
Encoding: UTF-8
LazyData: TRUE
NeedsCompilation: no
Packaged: 2026-02-04 00:31:12 UTC; James
Author: James JW Hucklesby [cre, aut, cph] , Charles Unsworth [aut] , E Scott Graham [aut] , Catherine E angel [aut]
Maintainer: James JW Hucklesby <james.hucklesby@auckland.ac.nz>
Repository: CRAN
Date/Publication: 2026-02-06 19:50:02 UTC

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New package tirt with initial version 0.1.3
Package: tirt
Title: Testlet Item Response Theory
Version: 0.1.3
Description: Implementation of Testlet Item Response Theory (tirt). A light-version yet comprehensive and streamlined framework for psychometric analysis using unidimensional Item Response Theory (IRT; Baker & Kim (2004) <doi:10.1201/9781482276725>) and Testlet Response Theory (TRT; Wainer et al., (2007) <doi:10.1017/CBO9780511618765>). Designed for researchers, this package supports the estimation of item and person parameters for a wide variety of models, including binary (i.e., Rasch, 2-Parameter Logistic, 3-Parameter Logistic) and polytomous (Partial Credit Model, Generalized Partial Credit Model, Graded Response Model) formats. It also supports the estimation of Testlet models (Rasch Testlet, 2-Parameter Logistic Testlet, 3-Parameter Logistic Testlet, Bifactor, Partial Credit Model Testlet, Graded Response), allowing users to account for local item dependence in bundled items. A key feature is the specialized support for combination use and joint estimation of item response mod [...truncated...]
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: dplyr, tidyr, purrr, gtools, stats, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-04 02:39:09 UTC; jx
Author: Jiawei Xiong [aut, cre], Cheng Tang [ctb], Qidi Liu [ctb]
Maintainer: Jiawei Xiong <jiawei.xiong@uga.edu>
Repository: CRAN
Date/Publication: 2026-02-06 20:00:08 UTC

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New package nlmixr2auto with initial version 1.0.0
Package: nlmixr2auto
Title: Automated Population Pharmacokinetic Modeling
Version: 1.0.0
Description: Automated population pharmacokinetic modeling framework for data-driven initialisation, model evaluation, and metaheuristic optimization. Supports genetic algorithms, ant colony optimization, tabu search, and stepwise procedures for automated model selection and parameter estimation within the nlmixr2 ecosystem.
License: GPL (>= 3)
URL: https://github.com/ucl-pharmacometrics/nlmixr2auto
BugReports: https://github.com/ucl-pharmacometrics/nlmixr2auto/issues
Depends: R (>= 4.1.0), nlmixr2data
Imports: nlmixr2, nlmixr2est, nlmixr2autoinit, rxode2, dplyr, progressr, processx (> 3.8.0), withr, crayon
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-02-03 20:08:03 UTC; zhonghuihuang
Author: Zhonghui Huang [aut, cre], Joseph Standing [ctb], Matthew Fidler [ctb], Frank Kloprogge [ctb]
Maintainer: Zhonghui Huang <huangzhonghui22@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-06 19:40:02 UTC

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New package keyed with initial version 0.1.3
Package: keyed
Title: Explicit Key Assumptions for Flat-File Data
Version: 0.1.3
Language: en-US
Description: Helps make implicit data assumptions explicit by attaching keys to flat-file data that error when those assumptions are violated. Designed for CSV-first workflows without database infrastructure or version control. Provides key definition, assumption checks, join diagnostics, and optional drift detection against reference snapshots.
License: MIT + file LICENSE
URL: https://github.com/gcol33/keyed, https://gillescolling.com/keyed/
BugReports: https://github.com/gcol33/keyed/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, dplyr (>= 1.0.0), digest, pillar, rlang (>= 1.0.0), tibble, vctrs (>= 0.5.0)
Suggests: joinspy, knitr, rmarkdown, testthat (>= 3.0.0), uuid
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-03 21:34:34 UTC; Gilles Colling
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-06 19:50:08 UTC

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New package indonesiaFootballScoutR with initial version 0.1.3
Package: indonesiaFootballScoutR
Title: Tools for Football Player Scouting in Indonesia
Version: 0.1.3
Description: Provides tools to scrape, clean, and analyze football player data from Indonesian leagues and perform similarity-based scouting analysis using standardized numeric features. The similarity approach follows common vector-space methods as described in Manning et al. (2008, ISBN:9780521865715) and Salton et al. (1975, <doi:10.1145/361219.361220>).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, rvest, purrr, tibble, stringr, readr, proxy
URL: https://github.com/tioanta/indonesiaFootballScoutR
BugReports: https://github.com/tioanta/indonesiaFootballScoutR/issues
NeedsCompilation: no
Packaged: 2026-02-04 02:38:20 UTC; BRI
Author: Tio Anta Wibawa [aut, cre]
Maintainer: Tio Anta Wibawa <tio158@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-02-06 20:00:13 UTC

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New package bioLeak with initial version 0.1.0
Package: bioLeak
Title: Leakage-Safe Modeling and Auditing for Genomic and Clinical Data
Version: 0.1.0
Description: Prevents and detects information leakage in biomedical machine learning. Provides leakage-resistant split policies (subject-grouped, batch-blocked, study leave-out, time-ordered), guarded preprocessing (train-only imputation, normalization, filtering, feature selection), cross-validated fitting with common learners, permutation-gap auditing, batch and fold association tests, and duplicate detection.
License: MIT + file LICENSE
URL: https://github.com/selcukorkmaz/bioLeak
BugReports: https://github.com/selcukorkmaz/bioLeak/issues
Encoding: UTF-8
Depends: R (>= 4.3)
Imports: digest, methods, stats, utils, SummarizedExperiment, graphics, hardhat, parsnip
Suggests: BiocParallel, cli, dials, FNN, future, future.apply, ggplot2, glmnet, mice, missForest, pkgload, ranger, randomForest, recipes, RANN, rsample, tune, VIM, workflows, xgboost, yardstick, pROC, PRROC, survival, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-03 22:05:49 UTC; selcuk
Author: Selcuk Korkmaz [aut, cre]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-06 19:50:14 UTC

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New package bayesics with initial version 2.0.2
Package: bayesics
Title: Bayesian Analyses for One- and Two-Sample Inference and Regression Methods
Version: 2.0.2
Maintainer: Daniel K. Sewell <daniel-sewell@uiowa.edu>
Description: Perform fundamental analyses using Bayesian parametric and non-parametric inference (regression, anova, 1 and 2 sample inference, non-parametric tests, etc.). (Practically) no Markov chain Monte Carlo (MCMC) is used; all exact finite sample inference is completed via closed form solutions or else through posterior sampling automated to ensure precision in interval estimate bounds. Diagnostic plots for model assessment, and key inferential quantities (point and interval estimates, probability of direction, region of practical equivalence, and Bayes factors) and model visualizations are provided. Bayes factors are computed either by the Savage Dickey ratio given in Dickey (1971) <doi:10.1214/aoms/1177693507> or by Chib's method as given in xxx. Interpretations are from Kass and Raftery (1995) <doi:10.1080/01621459.1995.10476572>. ROPE bounds are based on discussions in Kruschke (2018) <doi:10.1177/2515245918771304>. Methods for determining the number of posterior samp [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: datasets, rstanarm, knitr, splines, testthat (>= 3.0.0)
Imports: tidyr, dplyr, rlang, janitor, extraDistr, mvtnorm, Matrix, future, future.apply, ggplot2, patchwork, BMS, cluster, DFBA, tibble, survival
URL: https://github.com/dksewell/bayesics
BugReports: https://github.com/dksewell/bayesics/issues
NeedsCompilation: no
Packaged: 2026-02-03 17:35:13 UTC; dksewell
Author: Daniel K. Sewell [aut, cre, cph] , Alan Arakkal [aut]
Repository: CRAN
Date/Publication: 2026-02-06 19:10:02 UTC

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New package BayesianHybridDesign with initial version 0.1.0
Package: BayesianHybridDesign
Title: Bayesian Hybrid Design and Analysis
Version: 0.1.0
Description: Implements Bayesian hybrid designs that incorporate historical control data into a current clinical trial. The package uses a dynamic power prior method to determine the degree of borrowing from the historical data, creating a 'hybrid' control arm. This approach is primarily designed for studies with a binary primary endpoint, such as the overall response rate (ORR). Functions are provided for design calibration, sample size calculation, power evaluation, and final analysis. Additionally, it includes functions adapted from the 'SAMprior' package (v1.1.1) by Yang et al. (2023) <https://academic.oup.com/biometrics/article/79/4/2857/7587575> to support the Self-Adapting Mixture (SAM) prior framework for comparison.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: assertthat, checkmate, doParallel, foreach, ggplot2, Metrics, parallel, RBesT
Suggests: broom, knitr, purrr, rmarkdown, rstanarm, scales, testthat (>= 3.0.0), tidyr, tools
NeedsCompilation: no
Packaged: 2026-02-04 03:18:27 UTC; zhaoh
Author: Philip He [aut, cph], Zhaohua Lu [aut, cre, cph]
Maintainer: Zhaohua Lu <zhaohua.lu@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-06 20:00:24 UTC

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New package areaOfEffect with initial version 0.2.4
Package: areaOfEffect
Title: Spatial Support at Scale
Version: 0.2.4
Description: Formalizes spatial support at scale for ecological and geographical analysis. Given points and support polygons, classifies points as "core" (inside original support) or "halo" (inside scaled support but outside original), pruning all others. The default scale produces equal core and halo areas - a geometrically derived choice requiring no tuning. An optional mask enforces hard boundaries such as coastlines. Political borders are treated as soft boundaries with no ecological meaning.
License: MIT + file LICENSE
URL: https://gillescolling.com/areaOfEffect/, https://github.com/gcol33/areaOfEffect
BugReports: https://github.com/gcol33/areaOfEffect/issues
Encoding: UTF-8
Language: en-US
Imports: methods, sf
Suggests: lwgeom, testthat (>= 3.0.0), knitr, rmarkdown, svglite
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-02-03 20:41:48 UTC; Gilles Colling
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-06 19:40:14 UTC

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New package wired with initial version 1.0.0
Package: wired
Title: Weighted Adaptive Prediction with Structured Dependence
Version: 1.0.0
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>
Description: Builds a joint probabilistic forecast across series and horizons using adaptive copulas (Gaussian/t) with shrinkage-repaired correlations. At the low level it calls a probabilistic mixer per series and horizon, which backtests several simple predictors, predicts next-window Continuous Ranked Probability Score (CRPS), and converts those scores into softmax weights to form a calibrated mixture (r/q/p/dfun). The mixer blends eight simple predictors: a naive predictor that wraps the last move in a PERT distribution; an arima predictor using auto.arima for one-step forecasts; an Exponentially Weighted Moving Average (EWMA) gaussian predictor with mean/variance under a Gaussian; a historical bootstrap predictor that resamples past horizon-aligned moves; a drift residual bootstrap predictor combining linear trend with bootstrapped residuals; a volatility-scaled naive predictor centering on the last move and scaling by recent volatility; a robust median mad predictor using median/MAD with Lapl [...truncated...]
License: GPL-3
Imports: mc2d (>= 0.2.1), forecast (>= 8.24.0), quantreg (>= 6.1), MASS (>= 7.3-65), imputeTS (>= 3.4)
Encoding: UTF-8
URL: https://rpubs.com/giancarlo_vercellino/wired
Suggests: knitr, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-02-03 16:42:12 UTC; gianc
Author: Giancarlo Vercellino [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-02-06 14:20:03 UTC

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New package snreg with initial version 1.2.0
Package: snreg
Title: Regression with Skew-Normally Distributed Error Term
Version: 1.2.0
Date: 2026-01-31
Maintainer: Oleg Badunenko <Oleg.Badunenko@brunel.ac.uk>
Description: Models with skew‑normally distributed and thus asymmetric error terms, implementing the methods developed in Badunenko and Henderson (2023) "Production analysis with asymmetric noise" <doi:10.1007/s11123-023-00680-5>. The package provides tools to estimate regression models with skew‑normal error terms, allowing both the variance and skewness parameters to be heteroskedastic. It also includes a stochastic frontier framework that accommodates both i.i.d. and heteroskedastic inefficiency terms.
URL: https://olegbadunenko.github.io/snreg/
Imports: Formula, npsf
License: GPL-3
Encoding: UTF-8
LazyData: TRUE
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-02-03 16:41:02 UTC; boo
Author: Oleg Badunenko [aut, cre] , John Burkardt [ctb, cph]
Repository: CRAN
Date/Publication: 2026-02-06 14:20:13 UTC

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New package resLIK with initial version 0.1.2
Package: resLIK
Title: Representation-Level Control Surfaces for Reliability Sensing
Version: 0.1.2
Description: Implements the Representation-Level Control Surfaces (RLCS) paradigm for ensuring the reliability of autonomous systems and AI models. It provides three deterministic sensors: Residual Likelihood (ResLik) for population-level anomaly detection, Temporal Consistency Sensor (TCS) for drift and shock detection, and Agreement Sensor for multi-modal redundancy checks. These sensors feed into a standardized control surface that issues 'PROCEED', 'DEFER', or 'ABSTAIN' signals based on strict safety invariants, allowing systems to detect and react to out-of-distribution states, sensor failures, and environmental shifts before they propagate to decision-making layers.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: utils
Suggests: testthat, stats, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-03 14:10:32 UTC; sulky
Author: MD. Arshad [aut, cre]
Maintainer: MD. Arshad <arshad10867c@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-06 14:10:02 UTC

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New package PPtreeExt with initial version 0.1.0
Package: PPtreeExt
Version: 0.1.0
Title: Projection Pursuit Classification Tree Extensions
Maintainer: Natalia da Silva <natalia.dasilva@fcea.edu.uy>
Description: Implements extensions to the projection pursuit tree algorithm for supervised classification, see Lee, Y. (2013), <doi:10.1214/13-EJS810> and Lee, E-K. (2018) <doi:10.18637/jss.v083.i08>. The algorithm is changed in two ways: improving prediction boundaries by modifying the choice of split points-through class subsetting; and increasing flexibility by allowing multiple splits per group.
License: GPL (>= 2)
URL: https://github.com/natydasilva/PPtreeExt
LazyData: yes
Depends: R (>= 4.3.0)
Imports: Rcpp (>= 1.1.0), ggplot2, shiny, MASS, gridExtra, MixSim, PPtreeViz
Suggests: knitr, randomForest, rpart, GGally, RColorBrewer, roxygen2 (>= 7.3.0), rmarkdown, rsample
Encoding: UTF-8
LinkingTo: Rcpp,RcppArmadillo
NeedsCompilation: yes
Packaged: 2026-02-03 16:44:46 UTC; nataliadasilva
Author: Natalia da Silva [aut, cre] , Dianne Cook [aut], Eun-Kyung Lee [aut]
Repository: CRAN
Date/Publication: 2026-02-06 14:20:18 UTC

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New package mortSOA with initial version 0.1.0
Package: mortSOA
Title: Obtain Data from the Society of Actuaries 'Mortality and Other Rate Tables' Site
Version: 0.1.0
Maintainer: Matt Heaphy <mattrmattrs@gmail.com>
Description: The Society of Actuaries (SOA) provides an extensive online database called 'Mortality and Other Rate Tables' ('MORT') at <https://mort.soa.org/>. This database contains mortality, lapse, and valuation tables that cover a variety of product types and nations. Users of the database can download any tables in 'Excel', 'CSV', or 'XML' formats. This package provides convenience functions that read 'XML' formats from the database and return R objects.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, dplyr, httr2, purrr, rlang, tidyr, xml2
Depends: R (>= 4.1)
LazyData: true
URL: https://github.com/mattheaphy/mortSOA/, https://mattheaphy.github.io/mortSOA/
BugReports: https://github.com/mattheaphy/mortSOA/issues
NeedsCompilation: no
Packaged: 2026-02-03 13:41:50 UTC; Matt
Author: Matt Heaphy [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-02-06 14:10:08 UTC

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New package tidylearn with initial version 0.1.0
Package: tidylearn
Title: A Unified Tidy Interface to R's Machine Learning Ecosystem
Version: 0.1.0
Description: Provides a unified tidyverse-compatible interface to R's machine learning packages. Wraps established implementations from 'glmnet', 'randomForest', 'xgboost', 'e1071', 'rpart', 'gbm', 'nnet', 'cluster', 'dbscan', and others - providing consistent function signatures, tidy tibble output, and unified 'ggplot2'-based visualization. The underlying algorithms are unchanged; 'tidylearn' simply makes them easier to use together. Access raw model objects via the $fit slot for package-specific functionality. Methods include random forests Breiman (2001) <doi:10.1023/A:1010933404324>, LASSO regression Tibshirani (1996) <doi:10.1111/j.2517-6161.1996.tb02080.x>, elastic net Zou and Hastie (2005) <doi:10.1111/j.1467-9868.2005.00503.x>, support vector machines Cortes and Vapnik (1995) <doi:10.1007/BF00994018>, and gradient boosting Friedman (2001) <doi:10.1214/aos/1013203451>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: dplyr (>= 1.0.0), ggplot2 (>= 3.3.0), tibble (>= 3.0.0), tidyr (>= 1.0.0), purrr (>= 0.3.0), rlang (>= 0.4.0), magrittr, stats, e1071, gbm, glmnet, nnet, randomForest, rpart, rsample, ROCR, yardstick, cluster (>= 2.1.0), dbscan (>= 1.1.0), MASS, smacof (>= 2.1.0)
Suggests: arules, arulesViz, car, caret, DT, GGally, ggforce, gridExtra, keras, knitr, lmtest, mclust, moments, NeuralNetTools, onnx, parsnip, recipes, reticulate, rmarkdown, rpart.plot, scales, shiny, shinydashboard, tensorflow, testthat (>= 3.0.0), workflows, xgboost
URL: https://github.com/ces0491/tidylearn
BugReports: https://github.com/ces0491/tidylearn/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-03 09:52:28 UTC; cesai_b8mratk
Author: Cesaire Tobias [aut, cre]
Maintainer: Cesaire Tobias <cesaire@sheetsolved.com>
Repository: CRAN
Date/Publication: 2026-02-06 13:50:02 UTC

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New package quickSentiment with initial version 0.1.0
Package: quickSentiment
Title: A Fast and Flexible Pipeline for Text Classification
Version: 0.1.0
Description: A high-level wrapper that simplifies text classification into three streamlined steps: preprocessing, model training, and prediction. It unifies the interface for multiple algorithms (including 'glmnet', 'ranger', and 'xgboost') and vectorization methods (Bag-of-Words, Term Frequency-Inverse Document Frequency (TF-IDF)), allowing users to go from raw text to a trained sentiment model in two function calls. The resulting model artifact automatically handles preprocessing for new datasets in the third step, ensuring consistent prediction pipelines.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: quanteda, stopwords, foreach, stringr, textstem, glmnet, ranger, xgboost, caret, Matrix, magrittr, doParallel
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, spelling
Language: en-US
NeedsCompilation: no
Packaged: 2026-02-03 03:01:22 UTC; meala
Author: Alabhya Dahal [aut, cre]
Maintainer: Alabhya Dahal <alabhya.dahal@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-06 13:30:02 UTC

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New package numspellR with initial version 0.1.0
Package: numspellR
Title: Detection of Numeric Persistence and Rigidity Patterns
Version: 0.1.0
Description: Tools for detecting numeric persistence ("spells") and rigidity patterns in time-ordered numeric data. The package identifies periods of stability, computes spell-based rigidity metrics, and provides plain-language interpretations suitable for policy and applied analysis.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-03 07:48:07 UTC; BPS Prov Jawa Timur
Author: Joko Ade Nursiyono [aut, cre]
Maintainer: Joko Ade Nursiyono <jokoadenursiyono@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-06 13:40:02 UTC

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New package climenu with initial version 0.1.3
Package: climenu
Title: Interactive Command-Line Menus
Version: 0.1.3
Author: Petr Čala [aut, cre]
Maintainer: Petr Čala <61505008@fsv.cuni.cz>
Description: Provides interactive command-line menu functionality with single and multiple selection menus, keyboard navigation (arrow keys or vi-style j/k), preselection, and graceful fallback for non-interactive environments. Inspired by tools such as 'inquirer.js' <https://github.com/SBoudrias/Inquirer.js>, 'pick' <https://github.com/aisk/pick>, and 'survey' <https://github.com/AlecAivazis/survey>. Designed to be lightweight and easy to integrate into 'R' packages and scripts.
License: MIT + file LICENSE
URL: https://github.com/PetrCala/climenu
BugReports: https://github.com/PetrCala/climenu/issues
Depends: R (>= 4.0.0)
Imports: cli (>= 3.6.0)
Suggests: covr, devtools, keypress, knitr, rmarkdown, roxygen2 (>= 7.0.0), testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-02-03 07:07:04 UTC; runner
Repository: CRAN
Date/Publication: 2026-02-06 13:40:06 UTC

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Thu, 05 Feb 2026

New package roxigraph with initial version 0.1.0
Package: roxigraph
Title: 'RDF' and 'SPARQL' for R using 'Oxigraph'
Version: 0.1.0
Description: Provides 'RDF' storage and 'SPARQL' 1.1 query capabilities by wrapping the 'Oxigraph' graph database library <https://github.com/oxigraph/oxigraph>. Supports in-memory and persistent ('RocksDB') storage, multiple 'RDF' serialization formats ('Turtle', 'N-Triples', 'RDF-XML', 'N-Quads', 'TriG'), and full 'SPARQL' 1.1 Query and Update support. Built using the 'extendr' framework for 'Rust'-R bindings.
License: MIT + file LICENSE
URL: https://github.com/cboettig/roxigraph
BugReports: https://github.com/cboettig/roxigraph/issues
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.65.0, libclang-dev (for RocksDB bindings)
Depends: R (>= 4.2)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: yes
Packaged: 2026-02-01 01:45:29 UTC; cboettig
Author: Carl Boettiger [aut, cre] , Oxigraph Contributors [cph] , Authors of the dependency Rust crates [aut]
Maintainer: Carl Boettiger <cboettig@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-05 12:30:02 UTC

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New package regextable with initial version 0.1.1
Package: regextable
Title: Pattern-Based Text Extraction and Standardization with Lookup Tables
Version: 0.1.1
Description: Extracts information from text using lookup tables of regular expressions. Each text entry is compared against all patterns, and all matching patterns and their corresponding substrings are returned. If a text entry matches multiple patterns, multiple rows are generated to capture each match. This approach enables comprehensive pattern coverage when processing large or complex text datasets.
LazyData: true
License: MIT + file LICENSE
Encoding: UTF-8
Imports: chk, dplyr, stringi, stringr, pbapply, stats
Suggests: kableExtra, knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/judgelord/regextable, https://judgelord.github.io/regextable/
BugReports: https://github.com/judgelord/regextable/issues
Depends: R (>= 4.1)
Language: en-US
NeedsCompilation: no
Packaged: 2026-02-02 19:17:37 UTC; shirl
Author: Shirlyn Dong [aut, cre], Devin Judge-Lord [aut]
Maintainer: Shirlyn Dong <shirlynd@umich.edu>
Repository: CRAN
Date/Publication: 2026-02-05 09:10:02 UTC

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Wed, 04 Feb 2026

New package wlsd with initial version 1.0.1
Package: wlsd
Title: Wrangling Longitudinal Survival Data
Version: 1.0.1
Description: Streamlines the process of transitioning between data formats commonly used in survival analysis. Functions convert longitudinal data between formats used as input for survival models as well as support overall preparation. Users are able to focus on model building rather than data wrangling.
URL: https://github.com/ci2131a/wlsd
BugReports: https://github.com/ci2131a/wlsd/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-01 06:00:10 UTC; charl
Author: Charles Ingulli [aut, cre]
Maintainer: Charles Ingulli <charlesfi@outlook.com>
Repository: CRAN
Date/Publication: 2026-02-04 19:50:02 UTC

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New package Orangutan with initial version 2.0.0
Package: Orangutan
Title: Automated Analysis of Phenotypic Data
Version: 2.0.0
Description: Provides functions to analyze and visualize meristic and mensural phenotypic data in a comparative framework. The package implements an automated pipeline that summarizes traits, identifies diagnostic variables among groups, performs multivariate and univariate statistical analyses, and produces publication-ready graphics. An earlier implementation (v1.0.0) is described in Torres (2025) <doi:10.64898/2025.12.18.695244>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: adegenet, dplyr, dunn.test, ggplot2, multcompView, RColorBrewer, rlang, tidyr, vegan, withr
Suggests: ragg
NeedsCompilation: no
Packaged: 2026-02-02 16:42:20 UTC; jtorreslopez2
Author: Javier Torres [aut, cre]
Maintainer: Javier Torres <metalofis@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-04 19:50:07 UTC

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New package marinepredator with initial version 0.0.1
Package: marinepredator
Title: Marine Predators Algorithm
Version: 0.0.1
Description: Implementation of the Marine Predators Algorithm (MPA) in R. MPA is a nature-inspired optimization algorithm that follows the rules governing optimal foraging strategy and encounter rate policy between predator and prey in marine ecosystems. Based on the paper by Faramarzi et al. (2020) <doi:10.1016/j.eswa.2020.113377>.
URL: https://github.com/urbs-dev/marinepredator
BugReports: https://github.com/urbs-dev/marinepredator/issues
Language: en
Encoding: UTF-8
Imports: dplyr, stats
Suggests: testthat (>= 3.0.0), covr, pkgdown, knitr, rmarkdown
VignetteBuilder: knitr
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2026-02-02 08:52:48 UTC; marcgrossouvre2
Author: Marc Grossouvre [trl, cre] , URBS company [cph, fnd], Afshin Faramarzi [aut] , Seyedali Mirjalili [aut]
Maintainer: Marc Grossouvre <marcgrossouvre@urbs.fr>
Repository: CRAN
Date/Publication: 2026-02-04 19:20:10 UTC

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New package GalaxyR with initial version 0.1.0
Package: GalaxyR
Title: 'Galaxy' API Implementation
Version: 0.1.0
Description: On 'Galaxy' platforms like 'Galaxy Europe' <https://usegalaxy.eu>, many tools and workflows can run directly on a high-performance computer. 'GalaxyR' connects R with 'Galaxy' platforms API <https://usegalaxy.eu/api/docs> and allows credential management, uploading data, invoking workflows or tools, checking their status, and downloading results.
URL: https://github.com/JulFrey/GalaxyR
BugReports: https://github.com/JulFrey/GalaxyR/issues
License: GPL-3
Encoding: UTF-8
Imports: httr, jsonlite, methods
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-02-02 10:13:27 UTC; julian
Author: Julian Frey [aut, cre] , Zoe Schindler [ctb]
Maintainer: Julian Frey <julian.frey@wwd.uni-freiburg.de>
Repository: CRAN
Date/Publication: 2026-02-04 19:30:14 UTC

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New package directadjusting with initial version 0.6.1
Package: directadjusting
Title: Directly Adjusted Estimates
Version: 0.6.1
Description: Compute estimates and confidence intervals of weighted averages quickly and easily. Weighted averages are computed using data.table for speed. Confidence intervals are approximated using the delta method with either using known formulae or via algorithmic or numerical integration.
License: MIT + file LICENSE
URL: https://github.com/FinnishCancerRegistry/directadjusting/
BugReports: https://github.com/FinnishCancerRegistry/directadjusting/issues
Depends: R (>= 2.10)
Imports: data.table, stats
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2026-02-02 09:01:43 UTC; joonas.miettinen
Author: Joonas Miettinen [cre, aut]
Maintainer: Joonas Miettinen <joonas.miettinen@cancer.fi>
Repository: CRAN
Date/Publication: 2026-02-04 19:30:02 UTC

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New package SNMA with initial version 0.1.5
Package: SNMA
Title: Stream Network Movement Analyses
Version: 0.1.5
Date: 2026-01-24
Maintainer: Donald T. McKnight <donald.mcknight@my.jcu.edu.au>
Description: Calculating home ranges and movements of animals in complex stream environments is often challenging, and standard home range estimators do not apply. This package provides a series of tools for assessing movements in a stream network, such as calculating the total length of stream used, distances between points, and movement patterns over time. See Vignette for additional details. This package was originally released on 'GitHub' under the name 'SNM'. SNMA was developed for analyses in McKnight et al. (2025) <doi:10.3354/esr01442> which contains additional examples and information.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: sf,geosphere,igraph
Suggests: ggplot2, ggnewscale, knitr,rmarkdown
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-02 00:55:55 UTC; Donald McKnight
Author: Donald T. McKnight [aut, cre]
Repository: CRAN
Date/Publication: 2026-02-04 18:10:13 UTC

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New package ppweibull with initial version 1.0
Package: ppweibull
Title: Piecewise Lifetime Models
Version: 1.0
Date: 2026-02-02
Maintainer: Diego Gallardo <dgallardo@ubiobio.cl>
Description: Provides functions for estimation and data generation for several piecewise lifetime distributions. The package implements the power piecewise Weibull model, which includes the piecewise Rayleigh and piecewise exponential models as special cases. See Feigl and Zelen (1965) <doi:10.2307/2528247> for methodological details.
Depends: R (>= 4.0.0), stats
Imports: survival, pracma, segmented, msm, nloptr
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-02-02 03:12:31 UTC; Diego
Author: Diego Gallardo [aut, cre], Yolanda Gomez [aut], Hector Gomez [aut], Barry Arnold [aut]
Repository: CRAN
Date/Publication: 2026-02-04 18:10:02 UTC

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New package gsDesignTune with initial version 0.1.0
Package: gsDesignTune
Title: Dependency-Aware Scenario Exploration for Group Sequential Designs
Version: 0.1.0
Description: Provides systematic, dependency-aware exploration of group sequential designs created with 'gsDesign'. Supports reproducible grid and random search over user-defined candidate sets, parallel evaluation via the 'future' framework, standardized metric extraction, and auditable reporting for design-space evaluation and trade-off analysis. Methods for group sequential design are described in Anderson (2025) <doi:10.32614/CRAN.package.gsDesign>. The 'future' framework for parallel processing is described in Bengtsson (2021) <doi:10.32614/RJ-2021-048>.
License: MIT + file LICENSE
URL: https://nanx.me/gsDesignTune/, https://github.com/nanxstats/gsDesignTune
BugReports: https://github.com/nanxstats/gsDesignTune/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: digest, future.apply, ggplot2, gsDesign, progressr, R6, rlang
Suggests: future, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-02 01:17:01 UTC; nanx
Author: Nan Xiao [aut, cre, cph]
Maintainer: Nan Xiao <me@nanx.me>
Repository: CRAN
Date/Publication: 2026-02-04 18:10:08 UTC

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New package avstrat with initial version 0.1.1
Package: avstrat
Title: Stratigraphic Data Processing and Section Plots
Version: 0.1.1
Description: Data processing and generating stratigraphic sections for volcanic deposits and tephrastratigraphy. Package was developed for studies on Alaska volcanoes ("av") where stratigraphic ("strat") figures are needed for interpreting eruptive histories, but the methods are applicable to any sediment stratigraphy project. Plotting styles inspired by "SedLog" (Zervas et al. 2009) <doi:10.1016/j.cageo.2009.02.009> but with more customizable outputs and flexible data input based on best practice recommendations for the tephra community (Wallace et al. 2022) <doi:10.1038/s41597-022-01515-y>.
License: CC0
Copyright: This software is in the public domain because it contains materials that originally came from the United States Geological Survey, an agency of the United States Department of the Interior.
BugReports: https://code.usgs.gov/vsc/tephra/tools/avstrat/-/issues
Encoding: UTF-8
Imports: dplyr, tidyr, ggplot2 (>= 4.0), grid, patchwork, rlang, shiny, leaflet
Suggests: knitr, readxl, rmarkdown, testthat (>= 3.0.0), tibble, withr
Depends: R (>= 4.1.0)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-02 05:49:06 UTC; mloewen
Author: Matthew Loewen [aut, cre]
Maintainer: Matthew Loewen <mloewen@usgs.gov>
Repository: CRAN
Date/Publication: 2026-02-04 18:20:02 UTC

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New package typeR with initial version 0.2.0
Package: typeR
Title: Simulate Typing Script
Version: 0.2.0
Description: Simulates typing of R script files for presentations and demonstrations. Provides character-by-character animation with optional live code execution. Supports R scripts (.R), R Markdown (.Rmd), and Quarto (.qmd) documents.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://Fgazzelloni.github.io/typeR/, https://github.com/Fgazzelloni/typeR
BugReports: https://github.com/Fgazzelloni/typeR/issues
VignetteBuilder: knitr
Suggests: quarto, testthat (>= 3.0.0), knitr, rmarkdown
Imports: stats, utils
Language: en-US
NeedsCompilation: no
Packaged: 2026-02-01 11:47:21 UTC; federicagazzelloni
Author: Federica Gazzelloni [aut, cre]
Maintainer: Federica Gazzelloni <fede.gazzelloni@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-04 17:30:02 UTC

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New package tidyextreme with initial version 1.0.0
Package: tidyextreme
Title: A Tidy Toolbox for Climate Extreme Indices
Version: 1.0.0
URL: https://github.com/Mauritia-flexuosa/tidyextreme
BugReports: https://github.com/Mauritia-flexuosa/tidyextreme/issues
Description: Calculate Expert Team on Climate Change Detection and Indices (ETCCDI) <-- (acronym) climate indices from daily or hourly temperature and precipitation data. Provides flexible data handling.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr (>= 1.0.0), lubridate (>= 1.8.0), zoo (>= 1.8.0), data.table (>= 1.14.0), cli (>= 3.0.0), rlang (>= 1.0.0), tidyselect (>= 1.2.1)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2, tidyr, DT, tibble
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-01 21:18:45 UTC; mcure
Author: Marcio Baldissera Cure [aut, cre, cph]
Maintainer: Marcio Baldissera Cure <marciobcure@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-04 18:00:03 UTC

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New package sqlm with initial version 0.1.0
Package: sqlm
Title: SQL-Backed Linear Regression
Version: 0.1.0
Description: Fits linear regression models on datasets residing in SQL databases without pulling data into R memory. Computes sufficient statistics inside the database engine via a single aggregation query and solves the normal equations in R.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, dbplyr, DBI, glue, purrr, S7, MASS, broom, tibble, stats, utils
Suggests: testthat (>= 3.0.0), duckdb, orbital, withr, knitr, rmarkdown, quarto
NeedsCompilation: no
Packaged: 2026-02-01 02:19:59 UTC; hagan
Author: Alejandro Hagan [aut, cre]
Maintainer: Alejandro Hagan <alejandro.hagan@outlook.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-02-04 17:20:02 UTC

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New package setweaver with initial version 1.0.0
Package: setweaver
Title: Building Sets of Variables in a Probabilistic Framework
Version: 1.0.0
Description: Create sets of variables based on a mutual information approach. In this context, a set is a collection of distinct elements (e.g., variables) that can also be treated as a single entity. Mutual information, a concept from probability theory, quantifies the dependence between two variables by expressing how much information about one variable can be gained from observing the other. Furthermore, you can analyze, and visualize these sets in order to better understand the relationships among variables.
License: CC BY 4.0
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.1.4), igraph (>= 2.1.2), permutes (>= 2.8), pheatmap (>= 1.0.13), splitTools (>= 1.0.1)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/nicolasleenaerts/setweaver
NeedsCompilation: no
Packaged: 2026-02-01 18:17:26 UTC; u0127988
Author: Nicolas Leenaerts [aut, cre, cph] , Aaron Fisher [aut, cph]
Maintainer: Nicolas Leenaerts <nicolas.leenaerts@kuleuven.be>
Repository: CRAN
Date/Publication: 2026-02-04 18:00:08 UTC

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New package fru with initial version 0.0.2
Package: fru
Title: A Blazing Fast Implementation of Random Forest
Version: 0.0.2
Description: Yet another implementation of the Random Forest method by Breiman (2001) <doi:10.1023/A:1010933404324>, written in Rust and tailored towards stability, correctness, efficiency and scalability on modern multi-core machines. Handles both classification and regression, as well as provides permutation feature importance via a novel, highly optimised algorithm.
URL: https://gitlab.com/mbq/fru
BugReports: https://gitlab.com/mbq/fru/-/issues
SystemRequirements: Cargo (Rust's package manager) >= 1.85, rustc >= 1.85
License: GPL-3
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-02-01 22:00:22 UTC; mbq
Author: Miron Bartosz Kursa [aut, cre] , Krzysztof Piotr Piwonski [aut]
Maintainer: Miron Bartosz Kursa <m@mbq.me>
Repository: CRAN
Date/Publication: 2026-02-04 18:00:14 UTC

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New package CurricularComplexityData with initial version 0.1.0
Package: CurricularComplexityData
Title: Data for Exploring Curricular Complexity
Version: 0.1.0
Description: Provides 'igraph' objects representing engineering plans of study across multiple disciplines and institutions. The data are intended for use with the 'CurricularComplexity' package (Reeping, 2026) <https://CRAN.R-project.org/package=CurricularComplexity> to support analyses of curricular structure. The package leverages network analysis approaches implemented in 'igraph' (Csárdi et al., 2025) <doi:10.5281/zenodo.7682609>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Suggests: CurricularComplexity
LazyData: true
NeedsCompilation: no
Packaged: 2026-02-01 17:38:49 UTC; reepi
Author: David Reeping [aut, cre], Nahal Rashedi [ctb], Elliot Setser [ctb], Sushant Padhye [ctb], Autri Banerjee [ctb], Emily Hodge [ctb], Levi Smith [ctb]
Maintainer: David Reeping <reepindp@ucmail.uc.edu>
Repository: CRAN
Date/Publication: 2026-02-04 17:50:09 UTC

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Tue, 03 Feb 2026

New package vismi with initial version 0.9.5
Package: vismi
Title: Visual Diagnostics for Multiple Imputation
Version: 0.9.5
Description: A comprehensive suite of static and interactive visual diagnostics for assessing the quality of multiply-imputed data obtained from packages such as 'mixgb' and 'mice'. The package supports inspection of distributional characteristics, diagnostics based on masking observed values and comparing them with re-imputed values, and convergence diagnostics.
URL: https://agnesdeng.github.io/vismi/
BugReports: https://github.com/agnesdeng/vismi/issues
License: GPL (>= 3)
Encoding: UTF-8
Language: en-GB
LazyData: true
Depends: R (>= 4.3.0)
Imports: cli, data.table, dplyr, GGally, ggplot2 (>= 4.0.1), ggtext, gridExtra, ggridges, mixgb (>= 2.2.3), patchwork, plotly, purrr, rlang, stats, scales, tidyr, trelliscopejs
NeedsCompilation: no
Packaged: 2026-01-30 21:43:16 UTC; agnes
Author: Yongshi Deng [aut, cre] , Thomas Lumley [ths]
Maintainer: Yongshi Deng <agnes.yongshideng@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-03 14:10:02 UTC

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New package sleacr with initial version 0.1.3
Package: sleacr
Title: Simplified Lot Quality Assurance Sampling Evaluation of Access and Coverage (SLEAC) Tools
Version: 0.1.3
Description: In the recent past, measurement of coverage has been mainly through two-stage cluster sampled surveys either as part of a nutrition assessment or through a specific coverage survey known as Centric Systematic Area Sampling (CSAS). However, such methods are resource intensive and often only used for final programme evaluation meaning results arrive too late for programme adaptation. SLEAC, which stands for Simplified Lot Quality Assurance Sampling Evaluation of Access and Coverage, is a low resource method designed specifically to address this limitation and is used regularly for monitoring, planning and importantly, timely improvement to programme quality, both for agency and Ministry of Health (MoH) led programmes. SLEAC is designed to complement the Semi-quantitative Evaluation of Access and Coverage (SQUEAC) method. This package provides functions for use in conducting a SLEAC assessment.
License: GPL (>= 3)
Depends: R (>= 4.2.0)
Imports: cli, methods, parallel, parallelly, stats
Suggests: covr, knitr, rmarkdown, spelling, testthat (>= 3.0.0), tibble
Encoding: UTF-8
Language: en-GB
LazyData: true
URL: https://nutriverse.io/sleacr/, https://github.com/nutriverse/sleacr
BugReports: https://github.com/nutriverse/sleacr/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-31 21:40:03 UTC; ernestguevarra
Author: Ernest Guevarra [aut, cre, cph] , Mark Myatt [aut, cph]
Maintainer: Ernest Guevarra <ernest@guevarra.io>
Repository: CRAN
Date/Publication: 2026-02-03 14:30:02 UTC

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New package rcatfish with initial version 1.0.0
Package: rcatfish
Version: 1.0.0
Date: 2026-1-29
Title: An R Interface to the California Academy of Sciences Eschmeyer's Catalog of Fishes
Depends: R (>= 4.4.0)
Imports: curl (>= 5.2.1), httr (>= 1.4.7), jsonlite (>= 1.8.9), lubridate (>= 1.9.3), magrittr (>= 2.0.3), qdapRegex (>= 0.7.2), RCurl (>= 1.95-4.11), rfishbase (>= 5.0.0), rvest (>= 0.3.2), stringr (>= 1.3.1), tidyr (>= 0.8.1), xml2 (>= 1.2.0)
Description: Accesses the California Academy of Sciences Eschmeyer's Catalog of Fishes in R using web requests. The Catalog of fishes is the leading authority in fish taxonomy. Functions in the package allow users to search for fish taxa and valid names, retrieve taxonomic references, retrieve monthly taxonomic changes, obtain natural history collection information, and see the number of species by taxonomic group. For more information on the Catalog: Fricke, R., Eschmeyer, W. N. & R. van der Laan (eds) 2025. ESCHMEYER'S CATALOG OF FISHES <https://researcharchive.calacademy.org/research/ichthyology/catalog/fishcatmain.asp>.
License: GPL (>= 2)
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-30 19:41:47 UTC; Sam
Author: Samuel R. Borstein [aut, cre], Brandon Dominy [aut], Brian O'Meara [aut]
Maintainer: Samuel R. Borstein <sam@borstein.com>
Repository: CRAN
Date/Publication: 2026-02-03 14:10:09 UTC

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New package SepTest with initial version 0.0.1
Package: SepTest
Title: Tests for First-Order Separability in Spatio-Temporal Point Processes
Version: 0.0.1
Date: 2026-01-18
Maintainer: Mohammad Ghorbani <mohammad.ghorbani@slu.se>
Author: Mohammad Ghorbani [aut, cre], Nafiseh Vafaei [aut]
Description: Provides statistical tools for testing first-order separability in spatio-temporal point processes, that is, assessing whether the spatio-temporal intensity function can be expressed as the product of spatial and temporal components. The package implements several hypothesis tests, including exact and asymptotic methods for Poisson and non-Poisson processes. Methods include global envelope tests, chi-squared type statistics, and a novel Hilbert-Schmidt independence criterion (HSIC) test, all with both block and pure permutation procedures. Simulation studies and real world examples, including the 2001 UK foot and mouth disease outbreak data, illustrate the utility of the proposed methods. The package contains all simulation studies and applications presented in Ghorbani et al. (2021) <doi:10.1016/j.csda.2021.107245> and Ghorbani et al. (2025) <doi:10.1007/s11749-025-00972-y>.
License: GPL-3
Encoding: UTF-8
Imports: combinat, dHSIC, fields, GET, ggplot2, graphics, MASS, patchwork, reshape2, scatterplot3d, spatstat.explore, spatstat.geom, spatstat.model, splancs, stats
Suggests: testthat (>= 3.0.0), rmarkdown, pkgdown, knitr, spatstat, stpp, RColorBrewer, plot3D
BugReports: https://github.com/mghorbani01/SepTest/issues
URL: https://github.com/mghorbani01/SepTest
NeedsCompilation: no
Packaged: 2026-01-30 12:57:20 UTC; mdgi0001
Repository: CRAN
Date/Publication: 2026-02-03 13:30:14 UTC

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New package SemiparMF with initial version 1.0.0
Package: SemiparMF
Title: Semiparametric Spatiotemporal Model with Mixed Frequencies
Version: 1.0.0
Description: Fits a semiparametric spatiotemporal model for data with mixed frequencies, specifically where the response variable is observed at a lower frequency than some covariates. The estimation uses an iterative backfitting algorithm that combines a non-parametric smoothing spline for high-frequency data, parametric estimation for low-frequency and spatial neighborhood effects, and an autoregressive error structure. Methodology based on Malabanan, Lansangan, and Barrios (2022) <https://scienggj.org/2022/SciEnggJ%202022-vol15-no02-p90-107-Malabanan%20et%20al.pdf>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: graphics, sf, spdep, stats, utils
Suggests: testthat (>= 3.0.0)
URL: https://github.com/jzeuzs/SemiparMF, https://semiparmf.j3z.dev
BugReports: https://github.com/jzeuzs/SemiparMF/issues
NeedsCompilation: no
Packaged: 2026-01-30 10:27:55 UTC; jez
Author: Jezzu Morrisen Quimosing [aut, cre, cph]
Maintainer: Jezzu Morrisen Quimosing <mail@j3z.dev>
Repository: CRAN
Date/Publication: 2026-02-03 13:20:06 UTC

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New package scenfire with initial version 0.1.0
Package: scenfire
Title: Post-Processing Algorithm for Integrating Wildfire Simulations
Version: 0.1.0
Description: A specialized selection algorithm designed to align simulated fire perimeters with specific fire size distribution scenarios. The foundation of this approach lies in generating a vast collection of plausible simulated fires across a wide range of conditions, assuming a random pattern of ignition. The algorithm then assembles individual fire perimeters based on their specific probabilities of occurrence, e.g., determined by (i) the likelihood of ignition and (ii) the probability of particular fire-weather scenarios, including wind speed and direction. Implements the method presented in Rodrigues (2025a) <doi:10.5194/egusphere-egu25-8974>. Demo data and code examples can be found in Rodrigues (2025b) <doi:10.5281/zenodo.15282605>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, ggplot2, foreach, methods, readr, sf, terra, tidyr, rlang, stringr, doParallel, tidyselect
Depends: R (>= 4.1.0)
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-30 08:36:10 UTC; lgimeno
Author: Marcos Rodrigues [aut, cre]
Maintainer: Marcos Rodrigues <rmarcos@unizar.es>
Repository: CRAN
Date/Publication: 2026-02-03 13:10:01 UTC

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New package multiRec with initial version 1.0.6
Package: multiRec
Title: Analysis of Multi-Type Recurrent Events
Version: 1.0.6
Maintainer: Alokananda Ghosh <aghosh@alum.mit.edu>
Author: Naji Younes [aut], Alokananda Ghosh [aut, cre], Medhasweta Sen [aut]
Depends: R (>= 4.2.0)
Description: Implements likelihood-based estimation and diagnostics for multi-type recurrent event data with dynamic risk that depends on prior events and accommodates terminating events. Methods are described in Ghosh, Chan, Younes and Davis (2023) "A Dynamic Risk Model for Multitype Recurrent Events" <doi:10.1093/aje/kwac213>.
Imports: survival, numDeriv, MASS, Rfast
License: GPL-2
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2026-01-30 09:44:14 UTC; aghosh
Repository: CRAN
Date/Publication: 2026-02-03 13:20:02 UTC

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New package gipsDA with initial version 0.1.2
Package: gipsDA
Title: Training DA Models Utilizing 'gips'
Version: 0.1.2
URL: https://AntoniKingston.github.io/gipsDA/, https://github.com/AntoniKingston/gipsDA
BugReports: https://github.com/AntoniKingston/gipsDA/issues
Description: Extends classical linear and quadratic discriminant analysis by incorporating permutation group symmetries into covariance matrix estimation. The package leverages methodology from the 'gips' framework to identify and impose permutation structures that act as a form of regularization, improving stability and interpretability in settings with symmetric or exchangeable features. Several discriminant analysis variants are provided, including pooled and class-specific covariance models, as well as multi-class extensions with shared or independent symmetry structures. For more details about 'gips' methodology see and Graczyk et al. (2022) <doi:10.1214/22-AOS2174> and Chojecki, Morgen, Kołodziejek (2025, <doi:10.18637/jss.v112.i07>).
License: GPL-3
Imports: dplyr, ggplot2, gips, jsonlite, lattice, patchwork, permutations, rlang, tibble, tidyr, MASS, numbers, stringi
Suggests: mockery, testthat, roxygen2
Depends: R (>= 2.10)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-30 12:01:38 UTC; antek
Author: Antoni Zbigniew Kingston [aut], Norbert Maksymilian Frydrysiak [aut, cre], Adam Przemyslaw Chojecki [ctb]
Maintainer: Norbert Maksymilian Frydrysiak <norbert.frydrysiak@proton.me>
Repository: CRAN
Date/Publication: 2026-02-03 13:30:02 UTC

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New package findn with initial version 0.1.0
Package: findn
Title: Simulation Based Sample Size Estimation
Version: 0.1.0
Maintainer: Lukas Baumann <baumann@imbi.uni-heidelberg.de>
Description: Estimates the sample size for a test or a trial based on repeated simulation using a model based approach. Implements a method by Maruo et al. (2018) <doi:10.1080/19466315.2017.1349689> and an extension.
Imports: ggplot2, rlang, scales
License: GPL (>= 3)
Encoding: UTF-8
Suggests: covr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-01-30 14:51:56 UTC; uy240
Author: Lukas Baumann [aut, cre] , Bjoern Bornkamp [ctb]
Repository: CRAN
Date/Publication: 2026-02-03 13:40:02 UTC

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New package educabR with initial version 0.1.0
Package: educabR
Title: Download and Process Brazilian Education Data from INEP
Version: 0.1.0
Description: Download and process public education data from INEP (Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira). Provides functions to access microdata from the School Census (Censo Escolar), ENEM (Exame Nacional do Ensino Médio), IDEB (Índice de Desenvolvimento da Educação Básica), and other educational datasets. Returns data in tidy format ready for analysis. Data source: INEP Open Data Portal <https://www.gov.br/inep/pt-br/acesso-a-informacao/dados-abertos>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/SidneyBissoli/educabR, https://sidneybissoli.github.io/educabR/
BugReports: https://github.com/SidneyBissoli/educabR/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr, httr2, purrr, readr, rlang, stringr, tidyr, tools
Suggests: ggplot2, knitr, readxl, rmarkdown, testthat (>= 3.0.0), tibble, withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-30 13:17:33 UTC; SIDNEY
Author: Sidney da Silva Pereira Bissoli [aut, cre]
Maintainer: Sidney da Silva Pereira Bissoli <sbissoli76@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-03 13:30:08 UTC

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New package BayesMallowsSMC2 with initial version 0.2.0
Package: BayesMallowsSMC2
Title: Nested Sequential Monte Carlo for the Bayesian Mallows Model
Version: 0.2.0
Description: Provides nested sequential Monte Carlo algorithms for performing sequential inference in the Bayesian Mallows model, which is a widely used probability model for rank and preference data. The package implements the SMC2 (Sequential Monte Carlo Squared) algorithm for handling sequentially arriving rankings and pairwise preferences, including support for complete rankings, partial rankings, and pairwise comparisons. The methods are based on Sorensen (2025) <doi:10.1214/25-BA1564>.
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, ggplot2, Rdpack
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0), label.switching (>= 1.8)
NeedsCompilation: yes
Packaged: 2026-01-30 10:09:40 UTC; oyss
Author: Oystein Sorensen [aut, cre]
Maintainer: Oystein Sorensen <oystein.sorensen.1985@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-03 13:10:06 UTC

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New package sasif with initial version 0.1.2
Package: sasif
Title: 'SAS' IF Style Data Step Logic for Data Tables
Version: 0.1.2
Description: Provides 'SAS'-style IF/ELSE chains, independent IF rules, and DELETE logic for 'data.table', enabling clinical programmers to express Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM)-style derivations in familiar SAS-like syntax. Methods are informed by clinical data standards described in CDISC SDTM and ADaM implementation guides. See <https://www.cdisc.org/standards/foundational/sdtm> and <https://www.cdisc.org/standards/foundational/adam>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table
NeedsCompilation: no
Packaged: 2026-01-30 03:24:58 UTC; Thiyagarajan
Author: Thiyagarajan Chandrasekaran [aut, cre]
Maintainer: Thiyagarajan Chandrasekaran <chandrt23@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-03 12:40:02 UTC

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New package phinterval with initial version 1.0.0
Package: phinterval
Title: Set Operations on Time Intervals
Version: 1.0.0
Description: Implements the phinterval vector class for representing time spans that may contain gaps (disjoint intervals) or be empty. This class generalizes the 'lubridate' package's interval class to support vectorized set operations (intersection, union, difference, complement) that always return a valid time span, even when disjoint or empty intervals are created.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/EthanSansom/phinterval, https://ethansansom.github.io/phinterval/
BugReports: https://github.com/EthanSansom/phinterval/issues
Depends: R (>= 4.0.0)
Imports: lubridate, methods, pillar, Rcpp, rlang, tibble, tzdb, vctrs (>= 0.7.0)
Suggests: dplyr, knitr, rmarkdown, testthat (>= 3.0.0), tidyr, withr
LinkingTo: Rcpp, tzdb
VignetteBuilder: knitr
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2026-01-29 22:40:09 UTC; ethansansom
Author: Ethan Sansom [aut, cre, cph]
Maintainer: Ethan Sansom <ethan.sansom29@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-03 12:40:06 UTC

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New package multiSA with initial version 0.1.0
Package: multiSA
Title: Multi-Stock Assessment
Version: 0.1.0
Date: 2026-01-16
Maintainer: Quang Huynh <quang@bluematterscience.com>
Description: Implementation of a next-generation, multi-stock age-structured fisheries assessment model. 'multiSA' is intended for use in mixed fisheries where stock composition can not be readily identified in fishery data alone, e.g., from catch and age/length composition. Models can be fitted to genetic data, e.g., stock composition of catches and close-kin pairs, with seasonal stock availability and movement.
License: GPL (>= 3)
Depends: R (>= 3.5.0)
Imports: dplyr, gplots, graphics, methods, pbapply, reshape2, rmarkdown, snowfall, stats, tinyplot, RTMB (>= 1.7), TMB, utils
Suggests: numDeriv, RTMBdist, usethis
LazyLoad: yes
Encoding: UTF-8
URL: https://blue-matter.github.io/multiSA/, https://github.com/Blue-Matter/multiSA
BugReports: https://github.com/Blue-Matter/multiSA/issues
NeedsCompilation: no
Packaged: 2026-01-29 23:31:49 UTC; quang
Author: Quang Huynh [aut, cre]
Repository: CRAN
Date/Publication: 2026-02-03 12:40:13 UTC

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New package MADtests with initial version 0.1.1
Package: MADtests
Title: Hypothesis Tests and Confidence Intervals for Median Absolute Deviations
Version: 0.1.1
Maintainer: Luke A. Prendergast <luke.prendergast@latrobe.edu.au>
Description: Conducts one- and two-sample hypothesis tests for median absolute deviations (mads) for robust inference of dispersion. Comparisons between two samples uses the ratio of mads. Confidence intervals are also computed.
Imports: gld, stats
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2026-01-29 21:56:34 UTC; LPrendergast
Author: Luke A. Prendergast [cre, aut] , Chandima Arachchige [aut]
Repository: CRAN
Date/Publication: 2026-02-03 12:40:26 UTC

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New package baselinenowcast with initial version 0.2.0
Package: baselinenowcast
Title: Baseline Nowcasting for Right-Truncated Epidemiological Data
Version: 0.2.0
Description: Nowcasting right-truncated epidemiological data is critical for timely public health decision-making, as reporting delays can create misleading impressions of declining trends in recent data. This package provides nowcasting methods based on using empirical delay distributions and uncertainty from past performance. It is also designed to be used as a baseline method for developers of new nowcasting methods. For more details on the performance of the method(s) in this package applied to case studies of COVID-19 and norovirus, see our recent paper at <https://wellcomeopenresearch.org/articles/10-614>. The package supports standard data frame inputs with reference date, report date, and count columns, as well as the direct use of reporting triangles, and is compatible with 'epinowcast' objects. Alongside an opinionated default workflow, it has a low-level pipe-friendly modular interface, allowing context-specific workflows. It can accommodate a wide spectrum of reporting schedules, [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/epinowcast/baselinenowcast, https://baselinenowcast.epinowcast.org
BugReports: https://github.com/epinowcast/baselinenowcast/issues
Depends: R (>= 4.1.0)
Imports: cli, checkmate, stats, utils, rlang, purrr
Suggests: bookdown, ChainLadder, dplyr, tidyr, stringr, lubridate, readr, ggplot2, spelling, rmarkdown, testthat (>= 3.1.9), usethis, withr, knitr, zoo, glue
Encoding: UTF-8
Language: en-GB
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-29 14:19:15 UTC; lshkj18
Author: Kaitlyn Johnson [aut, cre, cph] , Emily Tyszka [aut] , Johannes Bracher [aut] , Sebastian Funk [aut] , Sam Abbott [aut] , Tim Taylor [ctb]
Maintainer: Kaitlyn Johnson <kaitlyn.johnson@lshtm.ac.uk>
Repository: CRAN
Date/Publication: 2026-02-03 11:10:07 UTC

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New package spanner with initial version 1.0.2
Package: spanner
Title: Utilities to Support Lidar Applications at the Landscape, Forest, and Tree Scale
Version: 1.0.2
Date: 2026-01-19
Description: Implements algorithms for terrestrial, mobile, and airborne lidar processing, tree detection, segmentation, and attribute estimation (Donager et al., 2021) <doi:10.3390/rs13122297>, and a hierarchical patch delineation algorithm 'PatchMorph' (Girvetz & Greco, 2007) <doi:10.1007/s10980-007-9104-8>. Tree detection uses rasterized point cloud metrics (relative neighborhood density and verticality) combined with RANSAC cylinder fitting to locate tree boles and estimate diameter at breast height. Tree segmentation applies graph-theory approaches inspired by Tao et al. (2015) <doi:10.1016/j.isprsjprs.2015.08.007> with cylinder fitting methods from de Conto et al. (2017) <doi:10.1016/j.compag.2017.07.019>. PatchMorph delineates habitat patches across spatial scales using organism-specific thresholds. Built on 'lidR' (Roussel et al., 2020) <doi:10.1016/j.rse.2020.112061>.
URL: https://github.com/bi0m3trics/spanner
License: GPL-3
Encoding: UTF-8
LinkingTo: lidR, RcppArmadillo, Rcpp (>= 1.0.13), RcppEigen, BH,
Imports: Rcpp (>= 1.0.13), conicfit, FNN, RANN, cppRouting, sf, terra, sfheaders, Rfast, geometry, dplyr, mathjaxr, data.table
Depends: R (>= 4.0.0), lidR (>= 4.2.0),
Suggests: testthat (>= 3.0.0), magick, rgl, rstac
NeedsCompilation: yes
Packaged: 2026-01-29 02:44:22 UTC; ajsm
Author: Andrew Sanchez Meador [aut, cre, ctb] , Jonathon Donager [aut, ctb] , Blackburn Ryan [aut, ctb] , Cannon Jeffery [ctb] , Tiago de Conto [ctb, cph] , Keith O'Hara [ctb, cph]
Maintainer: Andrew Sanchez Meador <Andrew.SanchezMeador@nau.edu>
Repository: CRAN
Date/Publication: 2026-02-03 10:30:02 UTC

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New package opusreader2 with initial version 0.6.8
Package: opusreader2
Title: Read Spectroscopic Data from Bruker OPUS Binary Files
Version: 0.6.8
Description: Reads data from Bruker OPUS binary files of Fourier-Transform infrared spectrometers of the company Bruker Optics GmbH & Co. This package is released independently from Bruker, and Bruker and OPUS are registered trademarks of Bruker Optics GmbH & Co. KG. <https://www.bruker.com/en/products-and-solutions/infrared-and-raman/opus-spectroscopy-software/latest-release.html>. It lets you import both measurement data and parameters from OPUS files. The main method is `read_opus()`, which reads one or multiple OPUS files into a standardized list class. Behind the scenes, the reader parses the file header for assigning spectral blocks and reading binary data from the respective byte positions, using a reverse engineering approach. Infrared spectroscopy combined with chemometrics and machine learning is an established method to scale up chemical diagnostics in various industries and scientific fields.
License: MIT + file LICENSE
URL: https://opusreader2.spectral-cockpit.codefloe.page/, https://codefloe.com/spectral-cockpit/opusreader2/
BugReports: https://codefloe.com/spectral-cockpit/opusreader2/issues/
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), progressr, mirai (>= 2.5.0)
VignetteBuilder: knitr
NeedsCompilation: no
Language: en-US
Packaged: 2026-01-29 05:14:13 UTC; philipp
Author: Philipp Baumann [aut, cre] , Thomas Knecht [aut], Pierre Roudier [aut] , spectral-cockpit.com [cph, fnd]
Maintainer: Philipp Baumann <baumann-philipp@protonmail.ch>
Repository: CRAN
Date/Publication: 2026-02-03 10:30:08 UTC

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New package nomiShape with initial version 1.0.0
Package: nomiShape
Title: Visualization and Analysis of Nominal Variable Distributions
Version: 1.0.0
Description: Provides tools for visualizing and analyzing the shape of discrete nominal frequency distributions. The package introduces centered frequency plots, in which nominal categories are ordered from the most frequent category at the center toward less frequent categories on both sides, facilitating the detection of distributional patterns such as uniformity, dominance, symmetry, skewness, and long-tail behavior. In addition, the package supports Pareto charts for the study of dominance and cumulative frequency structure in nominal data. The package is designed for exploratory data analysis and statistical teaching, offering visualizations that emphasize distributional form rather than arbitrary category ordering.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
LazyData: true
Imports: dplyr, ggplot2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-29 10:33:28 UTC; norberello
Author: Norberto Asensio [aut, cre]
Maintainer: Norberto Asensio <norberto.asensio@ehu.eus>
Repository: CRAN
Date/Publication: 2026-02-03 10:40:02 UTC

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New package healthbR with initial version 0.1.0
Package: healthbR
Title: Access Brazilian Public Health Data
Version: 0.1.0
Description: Provides easy access to Brazilian public health data from multiple sources including VIGITEL (Surveillance of Risk Factors for Chronic Diseases by Telephone Survey), PNS (National Health Survey), SIM (Mortality Information System), SINASC (Live Birth Information System), and other health information systems. Data is downloaded from the Brazilian Ministry of Health VIGITEL repository <https://svs.aids.gov.br/download/Vigitel/>. Data is returned in tidy format following tidyverse conventions.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: tibble, dplyr, readxl, curl, cli, rlang, stringr, janitor, arrow, purrr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, furrr, future
VignetteBuilder: knitr
URL: https://github.com/SidneyBissoli/healthbR
BugReports: https://github.com/SidneyBissoli/healthbR/issues
NeedsCompilation: no
Packaged: 2026-01-29 11:59:13 UTC; SIDNEY
Author: Sidney Bissoli [aut, cre]
Maintainer: Sidney Bissoli <sbissoli76@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-03 10:40:07 UTC

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New package CGMissingDataR with initial version 0.0.1
Package: CGMissingDataR
Title: Missingness Benchmark for Continuous Glucose Monitoring Data
Version: 0.0.1
Description: Evaluates predictive performance under feature-level missingness in repeated-measures continuous glucose monitoring-like data. The benchmark injects missing values at user-specified rates, imputes incomplete feature matrices using an iterative chained-equations approach inspired by multivariate imputation by chained equations (MICE; Azur et al. (2011) <doi:10.1002/mpr.329>), fits Random Forest regression models (Breiman (2001) <doi:10.1023/A:1010933404324>) and k-nearest-neighbor regression models (Zhang (2016) <doi:10.21037/atm.2016.03.37>), and reports mean absolute percentage error and R-squared across missingness rates.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.3)
Imports: mice, FNN, Metrics, ranger
Suggests: testthat (>= 3.0.0), spelling, knitr, rmarkdown
NeedsCompilation: no
Language: en-US
URL: https://github.com/saraswatsh/CGMissingDataR, https://saraswatsh.github.io/CGMissingDataR/
BugReports: https://github.com/saraswatsh/CGMissingDataR/issues
LazyData: true
VignetteBuilder: knitr
Packaged: 2026-01-29 02:57:52 UTC; shubh
Author: Shubh Saraswat [cre, aut, cph] , Hasin Shahed Shad [aut], Xiaohua Douglas Zhang [aut]
Maintainer: Shubh Saraswat <shubh.saraswat00@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-03 10:30:15 UTC

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Mon, 02 Feb 2026

New package rotulador with initial version 1.0.0
Package: rotulador
Title: Useful Functions for Programming and Generating Documents
Version: 1.0.0
Description: Tools to help developers and producers manipulate R objects and outputs. It includes tools for displaying results and objects, and for formatting them in the correct format.
License: MIT + file LICENSE
URL: https://github.com/TractorTom/rotulador, https://tractortom.github.io/rotulador/
BugReports: https://github.com/TractorTom/rotulador/issues
Depends: R (>= 3.6)
Imports: checkmate, clipr, knitr, rmarkdown, utils
Suggests: htm2txt, pdftools, testthat (>= 3.0.0), withr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-28 16:07:49 UTC; onyxia
Author: Tanguy Barthelemy [aut, cre]
Maintainer: Tanguy Barthelemy <tangbarth@hotmail.fr>
Repository: CRAN
Date/Publication: 2026-02-02 10:10:02 UTC

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New package fluxfixer with initial version 1.0.0
Package: fluxfixer
Title: Advanced Framework for Sap Flow Data Post-Process
Version: 1.0.0
Maintainer: Yoshiaki Hata <yoshiakihata0806@gmail.com>
Description: Provides a flexible framework for post-processing thermal dissipation sap flow data using statistical methods and machine learning. This framework includes anomaly correction, outlier removal, gap-filling, trend removal, signal damping correction, and sap flux density calculation. The functions in this package can also apply to other time series with various artifacts.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr (>= 1.0.7), gsignal (>= 0.3-4), lubridate (>= 1.7.9), magrittr (>= 2.0.3), ranger (>= 0.13.1), rlang (>= 1.1.3), stats (>= 4.0.3), tidyr (>= 1.1.4), tidyselect (>= 1.2.0), xts (>= 0.12.1), zoo (>= 1.8-8)
Depends: R (>= 4.0)
URL: https://github.com/yhata86/fluxfixer, https://yhata86.github.io/fluxfixer/
BugReports: https://github.com/yhata86/fluxfixer/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-28 18:20:59 UTC; yshkh
Author: Yoshiaki Hata [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-02-02 10:30:02 UTC

More information about fluxfixer at CRAN
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New package blindspiker with initial version 0.2.0
Package: blindspiker
Title: Laboratory Blind Spike Sample Analyses
Version: 0.2.0
Description: A blind spike program provides samples to a laboratory in order to perform quality control (QC) checks. The samples provided are of a known quantity to the tester. The laboratory is typically uninformed of that the sample provided is a QC sample.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, magrittr, binGroup, ggplot2, tidyr, gt
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/markhogue/blindspiker
BugReports: https://github.com/markhogue/blindspiker/issues
Depends: R (>= 3.6)
NeedsCompilation: no
Packaged: 2026-01-28 19:18:48 UTC; markp
Author: Mark Hogue [aut, cre]
Maintainer: Mark Hogue <mark.hogue.chp@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-02 10:40:06 UTC

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New package BioGSP with initial version 1.0.0
Package: BioGSP
Title: Biological Graph Signal Processing for Spatial Data Analysis
Version: 1.0.0
Description: Implementation of Graph Signal Processing (GSP) methods including Spectral Graph Wavelet Transform (SGWT) for analyzing spatial patterns in biological data. Based on Hammond, Vandergheynst, and Gribonval (2011) <doi:10.1016/j.acha.2010.04.005>. Provides tools for multi-scale analysis of biology spatial signals, including forward and inverse transforms, energy analysis, and visualization functions tailored for biological applications. Biological application example is on Stephanie, Yao, Yuzhou (2024) <doi:10.1101/2024.12.20.629650>.
License: GPL-3
URL: https://github.com/BMEngineeR/BioGSP
BugReports: https://github.com/BMEngineeR/BioGSP/issues
Encoding: UTF-8
Imports: Matrix, igraph, RANN, RSpectra, ggplot2, patchwork, gridExtra, viridis, methods, dplyr
Suggests: knitr, rmarkdown, ggrepel
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2026-01-28 18:17:51 UTC; chang.1754
Author: Yuzhou Chang [aut, cre]
Maintainer: Yuzhou Chang <yuzhou.chang@osumc.edu>
Repository: CRAN
Date/Publication: 2026-02-02 10:30:08 UTC

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Sun, 01 Feb 2026

New package SVG with initial version 1.0.0
Package: SVG
Title: Spatially Variable Genes Detection Methods for Spatial Transcriptomics
Version: 1.0.0
Description: A unified framework for detecting spatially variable genes (SVGs) in spatial transcriptomics data. This package integrates multiple state-of-the-art SVG detection methods including 'MERINGUE' (Moran's I based spatial autocorrelation), 'Giotto' binSpect (binary spatial enrichment test), 'SPARK-X' (non-parametric kernel-based test), and 'nnSVG' (nearest-neighbor Gaussian processes). Each method is implemented with optimized performance through vectorization, parallelization, and 'C++' acceleration where applicable. Methods are described in Miller et al. (2021) <doi:10.1101/gr.271288.120>, Dries et al. (2021) <doi:10.1186/s13059-021-02286-2>, Zhu et al. (2021) <doi:10.1186/s13059-021-02404-0>, and Weber et al. (2023) <doi:10.1038/s41467-023-39748-z>.
License: MIT + file LICENSE
URL: https://github.com/Zaoqu-Liu/SVG, https://zaoqu-liu.github.io/SVG/
BugReports: https://github.com/Zaoqu-Liu/SVG/issues
Encoding: UTF-8
LazyData: false
Depends: R (>= 4.0.0)
Imports: parallel, stats, utils, methods, MASS, Rcpp (>= 1.0.0)
Suggests: BRISC, geometry, RANN, CompQuadForm, BiocParallel, SpatialExperiment, SingleCellExperiment, SummarizedExperiment, spatstat.geom, spatstat.explore, testthat (>= 3.0.0), knitr, rmarkdown, covr
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-01-28 03:40:06 UTC; liuzaoqu
Author: Zaoqu Liu [aut, cre] , SVGbench Contributors [ctb]
Maintainer: Zaoqu Liu <liuzaoqu@163.com>
Repository: CRAN
Date/Publication: 2026-02-01 07:20:07 UTC

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New package date4ts with initial version 0.1.1
Package: date4ts
Title: Wrangle and Modify Ts Object with Classic Frequencies and Exact Dates
Version: 0.1.1
Description: The ts objects in R are managed using a very specific date format (in the form c(2022, 9) for September 2022 or c(2021, 2) for the second quarter of 2021, depending on the frequency, for example). We focus solely on monthly and quarterly series to manage the dates of ts objects. The general idea is to offer a set of functions to manage this date format without it being too restrictive or too imprecise depending on the rounding. This is a compromise between simplicity, precision and use of the basic 'stats' functions for creating and managing time series (ts(), window()). Les objets ts en R sont gérés par un format de date très particulier (sous la forme c(2022, 9) pour septembre 2022 ou c(2021, 2) pour le deuxième trimestre 2021 selon la fréquence par exemple). On se concentre uniquement sur les séries mensuelles et trimestrielles pour gérer les dates des objets ts. Lidée générale est de proposer un ensemble de fonctions pour gérer ce format de date sans que ce soit trop contraignant o [...truncated...]
License: GPL (>= 3)
URL: https://github.com/TractorTom/date4ts, https://tractortom.github.io/date4ts/
BugReports: https://github.com/TractorTom/date4ts/issues
Encoding: UTF-8
Imports: stats, checkmate
Depends: R (>= 4.1)
LazyData: true
Suggests: testthat (>= 3.0.0), renv, fuzzr, pkgdown, devtools, usethis, covr, withr, altdoc
NeedsCompilation: no
Packaged: 2026-01-28 15:08:24 UTC; onyxia
Author: Tanguy Barthelemy [aut, cre]
Maintainer: Tanguy Barthelemy <tangbarth@hotmail.fr>
Repository: CRAN
Date/Publication: 2026-02-01 08:00:02 UTC

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New package comphy with initial version 1.0.5
Package: comphy
Title: Functions Used in the Book "Computational Physics with R"
Version: 1.0.5
Description: Provides a collection of functions described and used in the book Foadi (2026, ISBN:9780750326308) "Computational Physics with R". These include routines for numerical differentiation, integration, differential equations, eigenvalue problems, Monte Carlo methods, and other algorithms relevant to computational physics.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.6.0)
URL: https://github.com/jfoadi/comphy
BugReports: https://github.com/jfoadi/comphy/issues
NeedsCompilation: no
Packaged: 2026-01-28 15:32:26 UTC; james
Author: James Foadi [aut, cre]
Maintainer: James Foadi <james_foadi@yahoo.co.uk>
Repository: CRAN
Date/Publication: 2026-02-01 08:00:09 UTC

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New package blockstrap with initial version 1.0.0
Package: blockstrap
Title: Sample Dataframes by a Group
Version: 1.0.0
Description: Sample dataframes by group, in the form of a 'block bootstrap'. Entire groups are returned allowing for a single 'observation' to span multiple rows of the dataframe.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: HospitalNetwork, knitr, rmarkdown, testthat (>= 3.0.0)
Imports: dplyr, cli, rlang, vctrs
VignetteBuilder: knitr
URL: https://numbats.github.io/blockstrap/, https://github.com/numbats/blockstrap
BugReports: https://github.com/numbats/blockstrap/issues
NeedsCompilation: no
Packaged: 2026-01-28 03:08:13 UTC; mlyd0001
Author: Michael Lydeamore [aut, cre, cph] , Cash Looi [aut] , Kenyon Ng [aut] , Mitchell O'Hara-Wild [aut]
Maintainer: Michael Lydeamore <michael.lydeamore@monash.edu>
Repository: CRAN
Date/Publication: 2026-02-01 07:20:02 UTC

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New package adsasi with initial version 0.9.0.1
Package: adsasi
Title: Adaptive Sample Size Simulator
Version: 0.9.0.1
Description: A simulations-first sample size determination package that aims at making sample size formulae obsolete for most easily computable statistical experiments ; the main envisioned use case is clinical trials. The proposed clinical trial must be written by the user in the form of a function that takes as argument a sample size and returns a boolean (for whether or not the trial is a success). The 'adsasi' functions will then use it to find the correct sample size empirically. The unavoidable mis-specification is obviated by trying sample size values close to the right value, the latter being understood as the value that gives the probability of success the user wants (usually 80 or 90% in biostatistics, corresponding to 20 or 10% type II error).
License: GPL (>= 3)
Encoding: UTF-8
Depends: abind, grDevices, graphics, stats
NeedsCompilation: no
Packaged: 2026-01-28 11:31:41 UTC; Skerdi_HAVIARI
Author: Skerdi Haviari [aut, cre]
Maintainer: Skerdi Haviari <skerdi.haviari@aphp.fr>
Repository: CRAN
Date/Publication: 2026-02-01 07:50:11 UTC

More information about adsasi at CRAN
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Sat, 31 Jan 2026

New package kkmeans with initial version 0.1.2
Package: kkmeans
Title: Fast Implementations of Kernel K-Means
Version: 0.1.2
Description: Implementations several algorithms for kernel k-means. The default 'OTQT' algorithm is a fast alternative to standard implementations of kernel k-means, particularly in cases with many clusters. For a small number of clusters, the implemented 'MacQueen' method typically performs the fastest. For more details and performance evaluations, see Berlinski and Maitra (2025) <doi:10.1002/sam.70032>.
License: GPL-3
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp
NeedsCompilation: yes
Packaged: 2026-01-27 15:52:56 UTC; josh
Author: Josh Berlinski [aut, cre]
Maintainer: Josh Berlinski <jdberlinski@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-31 19:10:03 UTC

More information about kkmeans at CRAN
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New package contactsurveys with initial version 0.1.0
Package: contactsurveys
Title: Download Contact Surveys for Use in Infectious Disease Modelling
Version: 0.1.0
Description: Download, cache, and manage social contact survey data from the social contact data community on Zenodo (<https://zenodo.org/communities/social_contact_data>) for use in infectious disease modelling. Provides functions to list available surveys, download survey files with automatic caching, and retrieve citations. Contact survey data describe who contacts whom in a population and are used to parameterise age-structured transmission models, for example via the 'socialmixr' package. The surveys available include those from the POLYMOD study (Mossong et al. (2008) <doi:10.1371/journal.pmed.0050074>) and other social contact data shared on Zenodo.
License: MIT + file LICENSE
Language: en-US
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), data.table, oai, purrr, rlang (>= 1.0.0), stats, yesno, zen4R (>= 0.10.3)
Suggests: socialmixr (>= 0.5.0), knitr, rmarkdown, roxyglobals, testthat (>= 3.0.0), withr, vcr (>= 2.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
URL: https://github.com/epiforecasts/contactsurveys, http://epiforecasts.io/contactsurveys/
BugReports: https://github.com/epiforecasts/contactsurveys/issues
Packaged: 2026-01-27 20:28:25 UTC; eidesfun
Author: Sebastian Funk [aut, cre, cph] , Nicholas Tierney [aut] , Hugo Gruson [ctb]
Maintainer: Sebastian Funk <sebastian.funk@lshtm.ac.uk>
Repository: CRAN
Date/Publication: 2026-01-31 19:20:02 UTC

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New package cardargus with initial version 0.2.0
Package: cardargus
Title: Generate SVG Information Cards with Embedded Fonts and Badges
Version: 0.2.0
Description: Create self-contained SVG information cards with embedded 'Google Fonts', shields-style badges, and custom logos. Cards are fully portable SVG files ideal for dashboards, reports, and web applications. Includes functions to export cards to PNG format and display them in 'R Markdown' and 'Quarto' documents.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/StrategicProjects/cardargus
BugReports: https://github.com/StrategicProjects/cardargus/issues
Imports: gdtools, digest, rsvg, magick, cli
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, showtext, sysfonts, systemfonts, base64enc, htmltools, grid, curl, gfonts, chromote
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-27 14:45:00 UTC; leite
Author: Andre Leite [aut, cre], Hugo Vasconcelos [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-01-31 19:10:08 UTC

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New package automerge with initial version 0.2.0
Package: automerge
Title: R Bindings for 'Automerge' 'CRDT' Library
Version: 0.2.0
Description: Provides R bindings to the 'Automerge' Conflict-free Replicated Data Type ('CRDT') library. 'Automerge' enables automatic merging of concurrent changes without conflicts, making it ideal for distributed systems, collaborative applications, and offline-first architectures. The approach of local-first software was proposed in Kleppmann, M., Wiggins, A., van Hardenberg, P., McGranaghan, M. (2019) <doi:10.1145/3359591.3359737>. This package supports all 'Automerge' data types (maps, lists, text, counters) and provides both low-level and high-level synchronization protocols for seamless interoperability with 'JavaScript' and other 'Automerge' implementations.
License: MIT + file LICENSE
URL: https://github.com/posit-dev/automerge-r, https://posit-dev.github.io/automerge-r/
BugReports: https://github.com/posit-dev/automerge-r/issues
Depends: R (>= 4.2)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: 'automerge-c', or Cargo (Rust's package manager), rustc >= 1.80 and CMake >= 3.25 to build from package sources.
NeedsCompilation: yes
Packaged: 2026-01-28 00:24:50 UTC; cg334
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Authors of the dependency Rust crates [cph]
Maintainer: Charlie Gao <charlie.gao@posit.co>
Repository: CRAN
Date/Publication: 2026-01-31 19:30:02 UTC

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New package ALDEx3 with initial version 1.0.0
Package: ALDEx3
Title: Linear Models for Sequence Count Data
Version: 1.0.0
Description: Provides scalable generalized linear and mixed effects models tailored for sequence count data analysis (e.g., analysis of 16S or RNA-seq data). Uses Dirichlet-multinomial sampling to quantify uncertainty in relative abundance or relative expression conditioned on observed count data. Implements scale models as a generalization of normalizations which account for uncertainty in scale (e.g., total abundances) as described in Nixon et al. (2025) <doi:10.1186/s13059-025-03609-3> and McGovern et al. (2025) <doi:10.1101/2025.08.05.668734>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: rBeta2009, testthat (>= 3.0.0), lmtest, sandwich, knitr, rmarkdown
Imports: purrr, lme4, lmerTest, parallel, MASS, nlme, abind, matrixStats, methods, stats
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-27 18:31:44 UTC; jds6696
Author: Justin Silverman [aut, cre], Greg Gloor [aut], Kyle McGovern [aut, ctb]
Maintainer: Justin Silverman <JustinSilverman@psu.edu>
Repository: CRAN
Date/Publication: 2026-01-31 19:10:16 UTC

More information about ALDEx3 at CRAN
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New package sameplot with initial version 0.1.0
Package: sameplot
Title: Consistent Plot Rendering and Saving Across Interactive Sessions and Reports
Version: 0.1.0
Description: Renders plots to a temporary image using the ragg graphics device and returns knitr::include_graphics() output. Optionally saves the image to a specified path. This helps ensure consistent appearance across interactive sessions, saved files, and knitted documents. For more details see Pedersen and Shemanarev (2025) <doi: 10.32614/CRAN.package.ragg>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: knitr, ragg
Suggests: ggplot2, testthat (>= 3.0.0)
URL: https://github.com/TomNaber/sameplot
BugReports: https://github.com/TomNaber/sameplot/issues
NeedsCompilation: no
Packaged: 2026-01-27 10:29:33 UTC; thnab
Author: Tom Naber [aut, cre]
Maintainer: Tom Naber <tomnaber12@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-31 18:50:02 UTC

More information about sameplot at CRAN
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New package SafeMapper with initial version 1.0.0
Package: SafeMapper
Title: Fault-Tolerant Functional Programming with Automatic Checkpointing
Version: 1.0.0
Description: Provides drop-in replacements for 'purrr' and 'furrr' mapping functions with built-in fault tolerance, automatic checkpointing, and seamless recovery capabilities. When long-running computations are interrupted due to errors, system crashes, or other failures, simply re-run the same code to automatically resume from the last checkpoint. Ideal for large-scale data processing, API calls, web scraping, and other time-intensive operations where reliability is critical. For 'purrr' methodology, see Wickham and Henry (2023) <https://purrr.tidyverse.org/>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/Zaoqu-Liu/SafeMapper
BugReports: https://github.com/Zaoqu-Liu/SafeMapper/issues
Depends: R (>= 3.5.0)
Imports: purrr (>= 0.3.0), digest, tools
Suggests: furrr (>= 0.2.0), future, testthat (>= 3.0.0), knitr, rmarkdown, pkgdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-27 10:25:41 UTC; liuzaoqu
Author: Zaoqu Liu [aut, cre]
Maintainer: Zaoqu Liu <liuzaoqu@163.com>
Repository: CRAN
Date/Publication: 2026-01-31 18:50:22 UTC

More information about SafeMapper at CRAN
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New package pmlsp with initial version 1.0.1
Package: pmlsp
Title: Partial Maximum Likelihood Estimation of Spatial Probit Models
Version: 1.0.1
Description: Estimate spatial autoregressive nonlinear probit models with and without autoregressive disturbances using partial maximum likelihood estimation. Estimation and inference regarding marginal effects is also possible. For more details see Bille and Leorato (2020) <doi:10.1080/07474938.2019.1682314>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: abind, Matrix, matrixcalc, maxLik, methods, minqa, mvtnorm, numDeriv, qrng, spatialreg, spdep, stats, utils
Depends: R (>= 3.5)
LazyData: true
URL: https://github.com/d-spinelli/pmlsp
BugReports: https://github.com/d-spinelli/pmlsp/issues
NeedsCompilation: no
Packaged: 2026-01-27 14:20:09 UTC; Ospite
Author: Daniele Spinelli [aut, cre], Anna Gloria Bille' [aut], Samantha Leorato [aut]
Maintainer: Daniele Spinelli <daniele.spinelli@unimib.it>
Repository: CRAN
Date/Publication: 2026-01-31 19:00:02 UTC

More information about pmlsp at CRAN
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New package pixr with initial version 0.1.0
Package: pixr
Title: Access Brazilian Central Bank 'PIX' Open Data 'API'
Version: 0.1.0
Description: Provides a 'tidyverse'-style interface to the Brazilian Central Bank (<https://www.bcb.gov.br>) 'PIX' Open Data 'API' <https://olinda.bcb.gov.br/olinda/servico/Pix_DadosAbertos/versao/v1/aplicacao#!/recursos>. Retrieve statistics on 'PIX' keys, transactions by municipality, and monthly transaction summaries. All functions return 'tibbles' and support 'OData' query parameters for filtering, selecting, and ordering data.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: httr2 (>= 1.0.0), cli (>= 3.6.0), tibble (>= 3.2.0), dplyr (>= 1.1.0), rlang (>= 1.1.0), purrr (>= 1.0.0)
Suggests: testthat (>= 3.0.0), withr, knitr, rmarkdown, ggplot2, scales, forcats, tidyr
VignetteBuilder: knitr
URL: https://github.com/StrategicProjects/pixr
BugReports: https://github.com/StrategicProjects/pixr/issues
NeedsCompilation: no
Packaged: 2026-01-27 13:48:38 UTC; leite
Author: Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-01-31 19:00:08 UTC

More information about pixr at CRAN
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New package llmhelper with initial version 1.0.0
Package: llmhelper
Title: Unified Interface for Large Language Model Interactions
Version: 1.0.0
Description: Provides a unified interface for interacting with Large Language Models (LLMs) through various providers including OpenAI <https://platform.openai.com/docs/api-reference>, Ollama <https://ollama.com/>, and other OpenAI-compatible APIs. Features include automatic connection testing, max_tokens limit auto-adjustment, structured JSON responses with schema validation, interactive JSON schema generation, prompt templating, and comprehensive diagnostics.
License: GPL (>= 3)
URL: https://github.com/Zaoqu-Liu/llmhelper
BugReports: https://github.com/Zaoqu-Liu/llmhelper/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, dplyr, glue, httr, httr2, jsonlite, purrr, stringr, tibble, tidyprompt
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-01-27 09:50:30 UTC; liuzaoqu
Author: Zaoqu Liu [aut, cre]
Maintainer: Zaoqu Liu <liuzaoqu@163.com>
Repository: CRAN
Date/Publication: 2026-01-31 18:50:07 UTC

More information about llmhelper at CRAN
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New package llmflow with initial version 3.0.2
Package: llmflow
Title: Reasoning and Acting Workflow for Automated Data Analysis
Version: 3.0.2
Description: Provides a framework for integrating Large Language Models (LLMs) with R programming through workflow automation. Built on the ReAct (Reasoning and Acting) architecture, enables bi-directional communication between LLMs and R environments. Features include automated code generation and execution, intelligent error handling with retry mechanisms, persistent session management, structured JSON output validation, and context-aware conversation management.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/Zaoqu-Liu/llmflow
BugReports: https://github.com/Zaoqu-Liu/llmflow/issues
Depends: R (>= 4.1.0)
Imports: callr, cli, glue, jsonlite, jsonvalidate
Suggests: ellmer, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-01-27 09:58:31 UTC; liuzaoqu
Author: Zaoqu Liu [aut, cre]
Maintainer: Zaoqu Liu <liuzaoqu@163.com>
Repository: CRAN
Date/Publication: 2026-01-31 18:50:12 UTC

More information about llmflow at CRAN
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New package kindling with initial version 0.1.0
Package: kindling
Title: Higher-Level Interface of 'torch' Package to Auto-Train Neural Networks
Version: 0.1.0
Description: Provides a higher-level interface to the 'torch' package for defining, training, and tuning neural networks. This package supports feedforward (multi-layer perceptron) and recurrent neural networks (RNN (Recurrent Neural Networks), LSTM (Long Short-Term Memory), GRU (Gated Recurrent Unit)), and also reduces boilerplate code while enabling seamless integration with 'torch'. The methods to train neural networks from this package also bridges to titanic ML frameworks in R namely 'tidymodels' ecosystem, enabling the 'parsnip' model specifications, workflows, recipes, and tuning tools.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: purrr, torch, rlang, cli, glue, vctrs, parsnip (>= 1.0.0), tibble, tidyr, dplyr, stats, NeuralNetTools, vip, ggplot2, tune, dials
Suggests: testthat (>= 3.0.0), magrittr, box, recipes, workflows, rsample, yardstick, mlbench, modeldata, knitr, rmarkdown, DiceDesign, lhs, sfd
Depends: R (>= 4.1.0)
URL: https://kindling.joshuamarie.com, https://github.com/joshuamarie/kindling
BugReports: https://github.com/joshuamarie/kindling/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-27 03:36:35 UTC; DESKTOP
Author: Joshua Marie [aut, cre]
Maintainer: Joshua Marie <joshua.marie.k@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-31 18:40:02 UTC

More information about kindling at CRAN
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New package fasster with initial version 0.2.0
Package: fasster
Version: 0.2.0
Title: Fast Additive Switching of Seasonality, Trend, and Exogenous Regressors
Description: Implementation of the FASSTER (Forecasting with Additive Switching of Seasonality, Trend, and Exogenous Regressors) model for forecasting time series with multiple seasonal patterns. The model combines state space methodology with a switching component in the observation equation to allow flexible modeling of complex seasonal patterns, including time-varying effects and multiple seasonalities.
Depends: R (>= 4.1.0), fabletools (>= 0.2.0)
Imports: dlm, tsibble (>= 0.9.0), purrr, rlang, stats, dplyr (>= 1.0.0), distributional, vctrs
Suggests: tsibbledata (>= 0.2.0), lubridate, knitr, rmarkdown, testthat, spelling, covr
URL: https://github.com/tidyverts/fasster, https://fasster.tidyverts.org/
BugReports: https://github.com/tidyverts/fasster/issues
License: GPL-3
Encoding: UTF-8
ByteCompile: true
Language: en-GB
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-27 10:30:28 UTC; mitchell
Author: Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut, ths]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>
Repository: CRAN
Date/Publication: 2026-01-31 18:50:17 UTC

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New package aae.pop with initial version 0.2.0
Package: aae.pop
Title: Flexible Population Dynamics Simulations
Version: 0.2.0
Date: 2026-01-27
Maintainer: Jian Yen <jdl.yen@gmail.com>
Description: Simulate population dynamics from realistically complex matrix population models in a plug-and-play fashion. Supports aspatial and spatially implicit models with one or more species and time-varying covariates, stochasticity, density dependence, additions or removals of individuals, interspecific interactions, and metapopulations.
License: Apache License 2.0
URL: https://aae-stats.github.io/aae.pop/, https://github.com/aae-stats/aae.pop
BugReports: https://github.com/aae-stats/aae.pop/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, abind, cubature, future.apply, mc2d, nleqslv, rlang
Suggests: knitr, DiagrammeR, testthat, covr, rmarkdown, remotes, scales
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2026-01-27 08:28:36 UTC; jy0f
Author: Jian Yen [aut, cre, cph], Arthur Rylah Institute for Environmental Research [fnd]
Repository: CRAN
Date/Publication: 2026-01-31 18:40:08 UTC

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Fri, 30 Jan 2026

New package HCPclust with initial version 0.1.1
Package: HCPclust
Title: Hierarchical Conformal Prediction for Clustered Data with Missing Responses
Version: 0.1.1
Description: Implements hierarchical conformal prediction for clustered data with missing responses. The method uses repeated cluster-level splitting and within-cluster subsampling to accommodate dependence, and inverse-probability weighting to correct distribution shift induced by missingness. Conditional densities are estimated by inverting fitted conditional quantiles (linear quantile regression or quantile regression forests), and p-values are aggregated across resampling and splitting steps using the Cauchy combination test.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/judywangstat/HCP
BugReports: https://github.com/judywangstat/HCP/issues
Imports: stats, grf, quantreg, xgboost, quantregForest
Suggests: foreach, doParallel, doRNG, parallel, testthat (>= 3.0.0), knitr, rmarkdown, FNN, rstudioapi
NeedsCompilation: no
Packaged: 2026-01-26 23:42:16 UTC; yimenghan
Author: Menghan Yi [aut, cre], Judy Wang [aut]
Maintainer: Menghan Yi <menghany@umich.edu>
Repository: CRAN
Date/Publication: 2026-01-30 11:10:02 UTC

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New package xplainfi with initial version 1.0.0
Package: xplainfi
Title: Feature Importance Methods for Global Explanations
Version: 1.0.0
Description: Provides a consistent interface for common feature importance methods as described in Ewald et al. (2024) <doi:10.1007/978-3-031-63797-1_22>, including permutation feature importance (PFI), conditional and relative feature importance (CFI, RFI), leave one covariate out (LOCO), and Shapley additive global importance (SAGE), as well as feature sampling mechanisms to support conditional importance methods.
License: LGPL (>= 3)
URL: https://mlr-org.github.io/xplainfi/, https://github.com/mlr-org/xplainfi
BugReports: https://github.com/mlr-org/xplainfi/issues
Depends: R (>= 4.1.0)
Imports: checkmate, cli, data.table (>= 1.15.0), mirai, mlr3 (>= 1.1.0), mvtnorm, paradox (>= 1.0.0), R6, stats, utils
Suggests: arf, DiagrammeR, foreach, future, future.apply, ggplot2, glue, gower, knitr, knockoff, lgr, mlr3data, mlr3fselect, mlr3learners, partykit, patchwork, ranger, rmarkdown, rpart, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-26 16:53:28 UTC; Lukas
Author: Lukas Burk [aut, cre, cph]
Maintainer: Lukas Burk <cran@lukasburk.de>
Repository: CRAN
Date/Publication: 2026-01-30 11:00:02 UTC

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New package unityForest with initial version 0.1.0
Package: unityForest
Title: Improving Interaction Modelling and Interpretability in Random Forests
Version: 0.1.0
Date: 2026-01-26
Maintainer: Roman Hornung <hornung@ibe.med.uni-muenchen.de>
Description: Implementation of the unity forest (UFO) framework (Hornung & Hapfelmeier, 2026, <doi:10.48550/arXiv.2601.07003>). UFOs are a random forest variant designed to better take covariates with purely interaction-based effects into account, including interactions for which none of the involved covariates exhibits a marginal effect. While this framework tends to improve discrimination and predictive accuracy compared to standard random forests, it also facilitates the identification and interpretation of (marginal or interactive) effects: In addition to the UFO algorithm for tree construction, the package includes the unity variable importance measure (unity VIM), which quantifies covariate effects under the conditions in which they are strongest - either marginally or within subgroups defined by interactions - as well as covariate-representative tree roots (CRTRs) that provide interpretable visualizations of these conditions. Currently, only classification is supported. This packag [...truncated...]
SystemRequirements: C++17
Encoding: UTF-8
License: GPL-3
Imports: Rcpp (>= 0.11.2), Matrix, ggplot2, ggrepel, dplyr, scales, rlang
LinkingTo: Rcpp, RcppEigen
Depends: R (>= 3.5)
Suggests: patchwork
NeedsCompilation: yes
Packaged: 2026-01-26 18:40:17 UTC; hornung
Author: Roman Hornung [aut, cre], Marvin N. Wright [ctb, cph]
Repository: CRAN
Date/Publication: 2026-01-30 11:00:09 UTC

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New package printtree with initial version 0.2.0
Package: printtree
Title: Print Directory Trees for R Projects and Folders
Version: 0.2.0
Description: Provides tools to print a compact, readable directory tree for a folder or project. The package can automatically detect common project roots (e.g., 'RStudio' '.Rproj' files) and formats output for quick inspection of code and data organization. It supports typical tree customizations such as limiting depth, excluding files using ignore patterns, and producing clean, aligned text output suitable for console use, reports, and reproducible documentation. A snapshot helper can also render the tree output to a PNG image for sharing in issues, teaching material, or project documentation.
License: MIT + file LICENSE
URL: https://github.com/PrigasG/printtree
BugReports: https://github.com/PrigasG/printtree/issues
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-01-26 13:31:57 UTC; garthur
Author: George Arthur [aut, cre, cph]
Maintainer: George Arthur <prigasgenthian48@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-30 10:50:07 UTC

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New package pmrm with initial version 0.0.2
Package: pmrm
Title: Progression Models for Repeated Measures
Description: A progression model for repeated measures (PMRM) is a continuous-time nonlinear mixed-effects model for longitudinal clinical trials in progressive diseases. Unlike mixed models for repeated measures (MMRMs), which estimate treatment effects as linear combinations of additive effects on the outcome scale, PMRMs characterize treatment effects in terms of the underlying disease trajectory. This framing yields clinically interpretable quantities such as average time saved and percent reduction in decline due to treatment. This package implements frequentist PMRMs by Raket (2022) <doi:10.1002/sim.9581> using 'RTMB' by Kristensen (2016) <doi:10.18637/jss.v070.i05>.
Version: 0.0.2
License: MIT + file LICENSE
URL: https://github.com/openpharma/pmrm, https://openpharma.github.io/pmrm/
BugReports: https://github.com/openpharma/pmrm/issues
Depends: R (>= 3.5.0)
Imports: dplyr, generics, ggplot2, Matrix, nlme, RTMB (>= 1.8), rlang, stats, tibble, tidyselect, utils, vctrs
Suggests: knitr, markdown, rmarkdown, readr, scales, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-26 13:41:22 UTC; C240390
Author: William Michael Landau [aut, cre] , Lars Lau Raket [aut] , Kasper Kristensen [aut] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-30 10:50:12 UTC

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New package disagmethod with initial version 0.1.0
Package: disagmethod
Title: Autoregressive Integrated Moving Average (ARIMA) Based Disaggregation Methods
Version: 0.1.0
Description: We have the code for disaggregation as found in Wei and Stram (1990, <doi:10.1111/j.2517-6161.1990.tb01799.x>), and Hodgess and Wei (1996, "Temporal Disaggregation of Time Series" in Statistical Science I, Nova Publishing). The disaggregation models have different orders of the moving average component. These are based on ARIMA models rather than differencing or using similar time series.
Depends: R (>= 4.5), polynom, ltsa, zoo, xts, tsbox,tswge
License: GPL-2 | GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-26 18:57:57 UTC; e
Author: Erin Hodgess [aut, cre]
Maintainer: Erin Hodgess <erinm.hodgess@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-30 11:00:14 UTC

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Thu, 29 Jan 2026

New package rinet with initial version 0.1.0
Package: rinet
Title: Clinical Reference Interval Estimation with Reference Interval Network (RINet)
Version: 0.1.0
Description: Predicts statistics of a reference distribution from a mixture of raw clinical measurements (healthy and pathological). Uses pretrained CNN models to estimate the mean, standard deviation, and reference fraction from 1D or 2D sample data. Methods are described in LeBien, Velev, and Roche-Lima (2026) "RINet: synthetic data training for indirect estimation of clinical reference distributions" <doi:10.1016/j.jbi.2026.104980>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: reticulate
SystemRequirements: Python (>= 3.8), TensorFlow (>= 2.16), Keras (>= 3.0), scikit-learn
NeedsCompilation: no
Packaged: 2026-01-26 07:48:36 UTC; jack
Author: Jack LeBien [aut, cre]
Maintainer: Jack LeBien <jackgl4124@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-29 21:50:02 UTC

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New package LassoHiDFastGibbs with initial version 0.1.4
Package: LassoHiDFastGibbs
Title: Fast High-Dimensional Gibbs Samplers for Bayesian Lasso Regression
Version: 0.1.4
Description: Provides fast and scalable Gibbs sampling algorithms for Bayesian Lasso regression model in high-dimensional settings. The package implements efficient partially collapsed and nested Gibbs samplers for Bayesian Lasso, with a focus on computational efficiency when the number of predictors is large relative to the sample size. Methods are described at Davoudabadi and Ormerod (2026) <https://github.com/MJDavoudabadi/LassoHiDFastGibbs>.
License: GPL-3
Encoding: UTF-8
SystemRequirements: C++17
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, RcppNumerical, RcppClock
NeedsCompilation: yes
Suggests: posterior
URL: https://github.com/MJDavoudabadi/LassoHiDFastGibbs
BugReports: https://github.com/MJDavoudabadi/LassoHiDFastGibbs/issues
Packaged: 2026-01-26 01:33:54 UTC; mjava
Author: John Ormerod [aut] , Mohammad Javad Davoudabadi [aut, cre, cph], Garth Tarr [aut] , Samuel Mueller [aut] , Jonathon Tidswell [ctb] )
Maintainer: Mohammad Javad Davoudabadi <mohammad.davoudabadi@qut.edu.au>
Repository: CRAN
Date/Publication: 2026-01-29 21:50:14 UTC

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New package emplikCS with initial version 0.2
Package: emplikCS
Version: 0.2
Title: Empirical Likelihood with Current Status Data for Mean, Probability, Hazard
Maintainer: Mai Zhou <maizhou@gmail.com>
Depends: R (>= 4.0.0), quadprog, monotone
Imports: stats
Description: Compute the empirical likelihood ratio, -2LogLikRatio (Wilks) statistics, based on current status data for the hypothesis about the parameters of mean or probability or weighted cumulative hazard.
License: GPL (>= 2)
NeedsCompilation: no
Author: Mai Zhou [aut, cre]
Packaged: 2026-01-26 01:19:34 UTC; maizh
Repository: CRAN
Date/Publication: 2026-01-29 21:40:01 UTC

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New package istatR with initial version 0.1.0
Package: istatR
Title: Interface to the Italian National Institute of Statistics ('ISTAT') API
Version: 0.1.0
Description: Provides an interface to the 'ISTAT' 'SDMX' RESTful API <https://esploradati.istat.it/SDMXWS>. Allows users to discover available datasets, explore their structure and dimensions, and retrieve statistical data from the Italian National Institute of Statistics. Based on the Python 'istatapi' package by Jacopo Attolini.
License: Apache License (>= 2)
Encoding: UTF-8
Imports: httr2, xml2, dplyr, tibble, stringr, purrr, readr, rlang
Suggests: testthat (>= 3.0.0)
URL: https://github.com/jfulponi/istatR
BugReports: https://github.com/jfulponi/istatR/issues
NeedsCompilation: no
Packaged: 2026-01-25 20:37:45 UTC; juan
Author: Juan Ignacio Fulponi [aut, cre]
Maintainer: Juan Ignacio Fulponi <jfulponi@economicas.uba.ar>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-01-29 20:20:01 UTC

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New package h5lite with initial version 2.0.0.2
Package: h5lite
Title: Simplified 'HDF5' Interface
Version: 2.0.0.2
Description: A user-friendly interface for the Hierarchical Data Format 5 ('HDF5') library designed to "just work." It bundles the necessary system libraries to ensure easy installation on all platforms. Features smart defaults that automatically map R objects (vectors, matrices, data frames) to efficient 'HDF5' types, removing the need to manage low-level details like dataspaces or property lists. Uses the 'HDF5' library developed by The HDF Group <https://www.hdfgroup.org/>.
URL: https://github.com/cmmr/h5lite, https://cmmr.github.io/h5lite/
BugReports: https://github.com/cmmr/h5lite/issues
Depends: R (>= 4.2.0)
LinkingTo: hdf5lib (>= 2.0.0.5)
Suggests: bit64, knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: yes
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Packaged: 2026-01-25 20:50:23 UTC; Daniel
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-29 20:20:07 UTC

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New package CLRtools with initial version 0.1.0
Package: CLRtools
Title: Diagnostic Tools for Logistic and Conditional Logistic Regression
Version: 0.1.0
Description: Provides tools for fitting, assessing, and comparing logistic and conditional logistic regression models. Includes residual diagnostics and goodness of fit measures for model development and evaluation in matched case control studies.
License: GPL-3
Encoding: UTF-8
Imports: bayesplot, caret, dplyr, ggplot2, ggpubr, lmtest, loo, patchwork, RColorBrewer, rlang, rstan, survival, tidyr
Suggests: dagitty, ggdag, knitr, rmarkdown, rstanarm
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-25 20:32:17 UTC; bhernand
Author: Brenda Contla Hernandez [aut, cre], Matthieu Vignes [ctb] , Chris Compton [ctb]
Maintainer: Brenda Contla Hernandez <brendacontla11@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-29 20:30:06 UTC

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New package chronometre with initial version 0.0.1
Package: chronometre
Title: A 'chronomètre' is a 'stopwatch'
Version: 0.0.1
Date: 2026-01-25
Description: As a 'chronomètre' is a 'stopwatch', this package offers a simple stopwatch, and in particular one that can be shared with Python (using the corresponding package of the same name available via 'PyPi') such that both interpreters operate on the same object instance and shown in the demo file, as well as in the unit tests.
Suggests: RcppSpdlog, xptr, reticulate, tinytest
URL: https://github.com/eddelbuettel/chronometre-r
BugReports: https://github.com/eddelbuettel/chronometre-r/issues
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-25 22:25:32 UTC; edd
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Repository: CRAN
Date/Publication: 2026-01-29 20:30:02 UTC

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New package weatherjoin with initial version 0.2.0
Package: weatherjoin
Title: Join Gridded Weather Data to Event Tables
Version: 0.2.0
URL: https://github.com/hauae/weatherjoin
BugReports: https://github.com/hauae/weatherjoin/issues
Description: High-level tools to attach gridded weather data from the NASA POWER Project to event-based datasets. The package plans efficient spatio-temporal API calls via the 'nasapower' R package, caches downloaded segments locally, and joins weather variables back to the input table using exact or rolling joins. This package is not affiliated with or endorsed by NASA.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table, jsonlite
Suggests: nasapower, digest, fst, anytime, testthat (>= 3.0.0), knitr, rmarkdown, withr
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-25 13:52:17 UTC; 00758120
Author: Przemek Dolowy [aut, cre]
Maintainer: Przemek Dolowy <pdolowy@harper-adams.ac.uk>
Repository: CRAN
Date/Publication: 2026-01-29 18:50:01 UTC

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New package StatsTFLValR with initial version 1.0.0
Package: StatsTFLValR
Title: Utilities for Validation of Clinical Trial 'SDTM', 'ADaM' and 'TFL' Outputs
Version: 1.0.0
Description: Provides utility functions for validation and quality control of clinical trial datasets and outputs across 'SDTM', 'ADaM' and 'TFL' workflows. The package supports dataset loading, metadata inspection, frequency and summary calculations, table-ready aggregations, and compare-style dataset review similar to 'SAS' 'PROC COMPARE'. Functions are designed to support reproducible execution, transparent review, and independent verification of statistical programming results. Dataset comparisons may leverage 'arsenal' <https://cran.r-project.org/package=arsenal>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: dplyr, tidyr, tibble, rlang, haven, readxl, tidyselect, purrr, arsenal, data.table
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), gt, gtsummary, withr
URL: https://github.com/kalsem/StatsTFLValR
BugReports: https://github.com/kalsem/StatsTFLValR/issues
NeedsCompilation: no
Packaged: 2026-01-25 13:55:30 UTC; mange
Author: Mangesh Kalsekar [aut, cre]
Maintainer: Mangesh Kalsekar <kalsekar.mangesh@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-29 19:00:02 UTC

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New package coldrift with initial version 0.1.1
Package: coldrift
Title: Lightweight Column Drift Detection for Tabular Data
Version: 0.1.1
Description: Provides simple and efficient methods to detect column-level data drift between reference and target datasets. Designed for monitoring tabular data pipelines and machine learning inputs using statistical distance measures.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
NeedsCompilation: no
Packaged: 2026-01-25 09:59:35 UTC; yash
Author: Yash Auti [aut, cre]
Maintainer: Yash Auti <autiyash97@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-29 18:50:06 UTC

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Wed, 28 Jan 2026

New package rregm with initial version 1.0
Package: rregm
Title: Reparameterized Regression Models
Version: 1.0
Maintainer: Diego Gallardo <dgallardo@ubiobio.cl>
Description: Provides estimation and data generation tools for several new regression models, including the gamma, beta, inverse gamma and beta prime distributions. These models can be parameterized based on the mean, median, mode, geometric mean and harmonic mean, as specified by the user. For details, see Bourguignon and Gallardo (2025a) <doi:10.1016/j.chemolab.2025.105382> and Bourguignon and Gallardo (2025b) <doi:10.1111/stan.70007>.
Depends: R (>= 4.0.0), stats
Imports: extraDistr, pracma, gamlss, gamlss.dist, invgamma
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-25 02:44:06 UTC; Diego
Author: Diego Gallardo [aut, cre], Marcelo Bourguignon [aut], Marcia Brandao [aut]
Repository: CRAN
Date/Publication: 2026-01-28 19:10:02 UTC

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New package evalHTE with initial version 0.1.0
Package: evalHTE
Title: Evaluating Heterogeneous Treatment Effects
Version: 0.1.0
Description: Provides various statistical methods for evaluating heterogeneous treatment effects (HTE) in randomized experiments. The package includes tools to estimate uniform confidence bands for estimation of the group average treatment effect sorted by generic machine learning algorithms (GATES). It also provides the tools to identify a subgroup of individuals who are likely to benefit from a treatment the most "exceptional responders" or those who are harmed by it. Detailed reference in Imai and Li (2023) <doi:10.48550/arXiv.2310.07973>.
License: MIT + file LICENSE
Depends: R (>= 3.50), dplyr (>= 1.0.10)
Imports: cli, evalITR, ggplot2, ggthemes, rlang, zoo, furrr, ggdist, scales, tidyr, stats, purrr, Matrix, MASS, quadprog, caret
Encoding: UTF-8
Suggests: knitr, rmarkdown, future, grf, magrittr, tibble
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-24 22:35:01 UTC; shazn
Author: Michael Lingzhi Li [aut, cre], Kosuke Imai [aut], Jialu Li [ctb]
Maintainer: Michael Lingzhi Li <mili@hbs.edu>
Repository: CRAN
Date/Publication: 2026-01-28 19:10:08 UTC

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New package vazul with initial version 1.0.0
Package: vazul
Title: Analysis Blinding Tools
Version: 1.0.0
Description: Provides tools for analysis blinding in confirmatory research contexts by masking and scrambling test-relevant aspects of data. Vector-, data frame-, and row-wise operations support blinding for hierarchical and repeated-measures designs. For more details see MacCoun and Perlmutter (2015) <doi:10.1038/526187a> and Dutilh, Sarafoglou, and Wagenmakers (2019) <doi:10.1007/s11229-019-02456-7>.
License: MIT + file LICENSE
URL: https://nthun.github.io/vazul/
BugReports: https://github.com/nthun/vazul/issues
Depends: R (>= 4.1.0)
Imports: dplyr, lifecycle, rlang, tidyselect, stats
Suggests: testthat, covr, knitr, quarto
VignetteBuilder: quarto
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-24 21:34:30 UTC; thoma
Author: Tamas Nagy [aut, cre] , Alexandra Sarafoglou [aut, dtc] , Marton Kovacs [aut]
Maintainer: Tamas Nagy <nagytamas.hungary@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-28 18:50:02 UTC

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New package SignalY with initial version 1.1.0
Package: SignalY
Title: Signal Extraction from Panel Data via Bayesian Sparse Regression and Spectral Decomposition
Version: 1.1.0
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>
Description: Provides a comprehensive toolkit for extracting latent signals from panel data through multivariate time series analysis. Implements spectral decomposition methods including wavelet multiresolution analysis via maximal overlap discrete wavelet transform, Percival and Walden (2000) <doi:10.1017/CBO9780511841040>, empirical mode decomposition for non-stationary signals, Huang et al. (1998) <doi:10.1098/rspa.1998.0193>, and Bayesian trend extraction via the Grant-Chan embedded Hodrick-Prescott filter, Grant and Chan (2017) <doi:10.1016/j.jedc.2016.12.007>. Features Bayesian variable selection through regularized Horseshoe priors, Piironen and Vehtari (2017) <doi:10.1214/17-EJS1337SI>, for identifying structurally relevant predictors from high-dimensional candidate sets. Includes dynamic factor model estimation, principal component analysis with bootstrap significance testing, and automated technical interpretation of signal morphology and variance topology.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, graphics, grDevices, utils, parallel, waveslim (>= 1.8.4), EMD (>= 1.5.9), urca (>= 1.3.3)
Suggests: GPArotation, plotly, cmdstanr (>= 0.7.0), posterior (>= 1.5.0), bayesplot (>= 1.10.0), loo (>= 2.6.0), projpred (>= 2.6.0), testthat (>= 3.0.0), knitr, rmarkdown, patchwork
Additional_repositories: https://mc-stan.org/r-packages/
VignetteBuilder: knitr
URL: https://github.com/IsadoreNabi/SignalY
BugReports: https://github.com/IsadoreNabi/SignalY/issues
NeedsCompilation: no
Packaged: 2026-01-24 19:18:05 UTC; ROG
Repository: CRAN
Date/Publication: 2026-01-28 18:50:17 UTC

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New package EQUALPrognosis with initial version 0.1.0
Package: EQUALPrognosis
Title: Analysing Prognostic Studies
Version: 0.1.0
Date: 2026-01-16
Author: Kurinchi Gurusamy [aut, cre]
Maintainer: Kurinchi Gurusamy <k.gurusamy@ucl.ac.uk>
Depends: stats, ggplot2, survival
Imports: base64enc, CalibrationCurves, mime, predtools, pROC, stringr
Description: Functions that help with analysis of prognostic study data. This allows users with little experience of developing models to develop models and assess the performance of the prognostic models. This also summarises the information, so the performance of multiple models can be displayed simultaneously. Gurusamy, K (2026)<https://github.com/kurinchi2k/EQUALPrognosis>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://sites.google.com/view/equal-group/home
NeedsCompilation: no
Packaged: 2026-01-24 08:38:37 UTC; kurin
Repository: CRAN
Date/Publication: 2026-01-28 18:40:16 UTC

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New package DataQualityDashboard with initial version 2.8.6
Package: DataQualityDashboard
Title: Execute and View Data Quality Checks on OMOP CDM Database
Version: 2.8.6
Date: 2026-01-22
Author: Katy Sadowski [aut, cre], Clair Blacketer [aut], Maxim Moinat [aut], Ajit Londhe [aut], Anthony Sena [aut], Anthony Molinaro [aut], Frank DeFalco [aut], Pavel Grafkin [aut]
Maintainer: Katy Sadowski <sadowski@ohdsi.org>
Description: Assesses data quality in Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) databases. Executes data quality checks and provides an R `shiny` application to view the results.
License: Apache License 2.0
VignetteBuilder: knitr
URL: https://github.com/OHDSI/DataQualityDashboard
BugReports: https://github.com/OHDSI/DataQualityDashboard/issues
Depends: R (>= 3.2.2), DatabaseConnector (>= 2.0.2)
Imports: magrittr, ParallelLogger, dplyr, jsonlite, rJava, SqlRender (>= 1.10.1), plyr, stringr, rlang, tidyselect, readr
Suggests: testthat, knitr, rmarkdown, markdown, shiny, ggplot2, Eunomia (>= 2.0.0), duckdb, R.utils, devtools
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-24 18:39:14 UTC; katysadowski
Repository: CRAN
Date/Publication: 2026-01-28 18:50:23 UTC

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Tue, 27 Jan 2026

New package syncdr with initial version 0.1.1
Package: syncdr
Title: Facilitate File Handling, Directory Comparison & Synchronization
Version: 0.1.1
Description: Compare directories flexibly (by date, content, or both) and synchronize files efficiently, with asymmetric and symmetric modes, helper tools, and visualization support for file management.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: collapse, data.table, digest, secretbase, cli, DT, fs, joyn (>= 0.3.0), stats, knitr, utils, rstudioapi
Suggests: fst, withr, rmarkdown, mockery, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
URL: https://rossanatat.github.io/syncdr/, https://github.com/RossanaTat/syncdr
BugReports: https://github.com/RossanaTat/syncdr/issues
NeedsCompilation: no
Packaged: 2026-01-23 21:57:30 UTC; wb621604
Author: R.Andres Castaneda [aut], Rossana Tatulli [aut, cre], Global Poverty and Inequality Data Team World Bank [cph]
Maintainer: Rossana Tatulli <rtatulli@worldbank.org>
Repository: CRAN
Date/Publication: 2026-01-27 21:30:02 UTC

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New package scMetaTraj with initial version 0.1.1
Package: scMetaTraj
Title: Metabolic State Space and Trajectory Analysis for Single-Cell Data
Version: 0.1.1
Description: Provides a framework for modeling cellular metabolic states and continuous metabolic trajectories from single-cell RNA-seq data using pathway-level scoring. Enables lineage-restricted metabolic analysis, metabolic 'pseudotime' inference, module-level trend analysis, and visualization of metabolic state transitions.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, igraph, ggplot2, uwot, RANN, Seurat, dplyr, tidyr
NeedsCompilation: no
Packaged: 2026-01-24 07:38:31 UTC; 10578
Author: Jinwei Dai [aut, cre]
Maintainer: Jinwei Dai <greg0453@163.com>
Repository: CRAN
Date/Publication: 2026-01-27 21:30:07 UTC

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New package rjd3tramoseats with initial version 3.6.0
Package: rjd3tramoseats
Title: Seasonal Adjustment with TRAMO-SEATS in 'JDemetra+' 3.x
Version: 3.6.0
Description: Interface to 'JDemetra+' 3.x (<https://github.com/jdemetra>) time series analysis software. It offers full access to options and outputs of 'TRAMO-SEATS' (Time series Regression with ARIMA noise, Missing values and Outliers - Signal Extraction in ARIMA Time Series), including 'TRAMO' modelling (ARIMA model with outlier detection and trading days adjustment). ARIMA = AutoRegressive Integrated Moving Average.
License: EUPL
URL: https://github.com/rjdverse/rjd3tramoseats, https://rjdverse.github.io/rjd3tramoseats/
BugReports: https://github.com/rjdverse/rjd3tramoseats/issues
Depends: R (>= 4.1.0)
Imports: rJava (>= 1.0-6), rjd3jars, rjd3toolkit (>= 3.6.0), RProtoBuf (>= 0.4.20), stats, utils
Encoding: UTF-8
SystemRequirements: Java (>= 17)
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2026-01-23 16:02:22 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: 2026-01-27 21:20:02 UTC

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New package pscDesign with initial version 1.0.0
Package: pscDesign
Title: Study Design for Personalised Synthetic Controls
Version: 1.0.0
Maintainer: Richard Jackson <richJ23@liverpool.ac.uk>
Description: Tools for the design of prospective studies using Personalised Synthetic Controls. Can be used in either single arm or randomised studies.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0), survival
Imports: psc (>= 2.0.0), S7
Suggests: knitr
VignetteBuilder: knitr
URL: https://github.com/richJJackson/pscDesign
BugReports: https://github.com/richJJackson/pscDesign/issues
NeedsCompilation: no
Packaged: 2026-01-23 16:48:18 UTC; richardjackson
Author: Richard Jackson [cre, aut, cph]
Repository: CRAN
Date/Publication: 2026-01-27 21:30:12 UTC

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New package MOSAlloc with initial version 1.2.3
Package: MOSAlloc
Title: Constraint Multiobjective Sample Allocation
Version: 1.2.3
Description: Provides a framework for multipurpose optimal resource allocation in survey sampling, extending the classical optimal allocation principles introduced by Tschuprow (1923) and Neyman (1934) to multidomain and multivariate allocation problems. The primary method mosalloc() allows for the consideration of precision and cost constraints at the subpopulation level while minimizing either a vector of sampling errors or survey costs across a broad range of optimal sample allocation problems. The approach supports both single- and multistage designs. For single-stage stratified random sampling, the mosallocSTRS() function offers a user- friendly interface. Sensitivity analysis is supported through the problem's dual variables, which are naturally obtained via the internal use of the Embedded Conic Solver from the 'ECOSolveR' package. See Willems (2025, <doi:10.25353/ubtr-9200-484c-5c89>) for a detailed description of the theory behind 'MOSAlloc'.
License: GPL (>= 3)
Encoding: UTF-8
Imports: ECOSolveR, Matrix
Suggests: parallel, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-01-23 10:46:38 UTC; willemsf
Maintainer: Felix Willems <mail.willemsf+MOSAlloc@gmail.com>
Author: Felix Willems [aut, cre] , Ralf Muennich [ths]
Repository: CRAN
Date/Publication: 2026-01-27 21:10:02 UTC

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New package mmtdiff with initial version 1.0.0
Package: mmtdiff
Version: 1.0.0
Title: Moment-Matching Approximation for t-Distribution Differences
Description: Implements the moment-matching approximation for differences of non-standardized t-distributed random variables in both univariate and multivariate settings. The package provides density, distribution function, quantile function, and random generation for the approximated distributions of t-differences. The methodology establishes the univariate approximated distributions through the systematic matching of the first, second, and fourth moments, and extends it to multivariate cases, considering both scenarios of independent components and the more general multivariate t-distributions with arbitrary dependence structures. Methods build on the classical moment-matching approximation method (e.g., Casella and Berger (2024) <doi:10.1201/9781003456285>).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, mvtnorm
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-23 17:36:41 UTC; API18340
Author: Yusuke Yamaguchi [aut, cre]
Maintainer: Yusuke Yamaguchi <yamagubed@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-27 21:30:17 UTC

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New package flownet with initial version 0.1.1
Package: flownet
Title: Transport Modeling: Network Processing, Route Enumeration, and Traffic Assignment
Version: 0.1.1
Description: High-performance tools for transport modeling - network processing, route enumeration, and traffic assignment in R. The package implements the Path-Sized Logit model for traffic assignment - Ben-Akiva and Bierlaire (1999) <doi:10.1007/978-1-4615-5203-1_2> - an efficient route enumeration algorithm, and provides powerful utility functions for (multimodal) network generation, consolidation/contraction, and/or simplification. The user is expected to provide a transport network (either a graph or collection of linestrings) and an origin-destination (OD) matrix of trade/traffic flows. Maintained by transport consultants at CPCS (cpcs.ca).
URL: https://sebkrantz.github.io/flownet/, https://github.com/SebKrantz/flownet
BugReports: https://github.com/SebKrantz/flownet/issues
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: collapse (>= 2.1.5), kit (>= 0.0.5), sf (>= 1.0.0), igraph (>= 2.1.4), geodist (>= 0.1.1), leaderCluster (>= 1.5.0), mirai (>= 2.5.2), progress (>= 1.2.3)
Suggests: fastverse (>= 0.3.4), mapview (>= 2.11.2), tmap (>= 4.0), testthat (>= 3.0.0), knitr, rmarkdown
LazyData: true
NeedsCompilation: yes
VignetteBuilder: knitr
Packaged: 2026-01-24 10:00:37 UTC; sebastiankrantz
Author: Sebastian Krantz [aut, cre], Kamol Roy [ctb]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>
Repository: CRAN
Date/Publication: 2026-01-27 21:40:02 UTC

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New package ciecl with initial version 0.9.2
Package: ciecl
Title: International Classification of Diseases 'ICD-10'/'ICD-11' for Chile
Version: 0.9.2
Description: Tools for working with the International Classification of Diseases ('ICD-10' Chile official 'MINSAL'/'DEIS' v2018). Includes optimized 'SQL' search with 'SQLite', fuzzy matching of medical terms (Jaro-Winkler), Charlson and Elixhauser comorbidity calculation, 'WHO' 'ICD-11' 'API' integration, and hierarchical code validation. Data from Centro FIC Chile 'DEIS' <https://deis.minsal.cl/centrofic/>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: DBI, RSQLite, stringdist, stringr, dplyr, tibble, tools, utils, comorbidity, gt
Suggests: httr2, readxl, usethis, withr, writexl, testthat (>= 3.0.0), knitr, litedown (>= 0.9), rmarkdown
VignetteBuilder: knitr
URL: https://github.com/Rodotasso/ciecl
BugReports: https://github.com/Rodotasso/ciecl/issues
Language: es
NeedsCompilation: no
Packaged: 2026-01-23 16:21:32 UTC; tassu
Author: Rodolfo Tasso Suazo [aut, cre, cph]
Maintainer: Rodolfo Tasso Suazo <rtasso@uchile.cl>
Repository: CRAN
Date/Publication: 2026-01-27 21:20:08 UTC

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New package trafficCAR with initial version 0.1.0
Package: trafficCAR
Title: Bayesian CAR Models for Road-Segment Traffic
Version: 0.1.0
Author: Madison Ell [aut, cre]
Maintainer: Madison Ell <mell@stat.tamu.edu>
Description: Tools for simulating and modeling traffic flow on road networks using spatial conditional autoregressive (CAR) models. The package represents road systems as graphs derived from 'OpenStreetMap' data <https://www.openstreetmap.org/> and supports network-based spatial dependence, basic preprocessing, and visualization for spatial traffic analysis.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Imports: sf, igraph, Matrix, methods, units, stats, graphics, rlang, posterior, ggplot2
Suggests: knitr, rmarkdown, microbenchmark, osmdata, lwgeom, leaflet, viridisLite, htmltools, usethis, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-01-23 04:06:53 UTC; mell
Repository: CRAN
Date/Publication: 2026-01-27 20:50:02 UTC

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New package tableParser with initial version 1.0.1
Package: tableParser
Title: Parse Tabled Content to Text Vector and Extract Statistical Standard Results
Date: 2026-01-23
Version: 1.0.1
Maintainer: Ingmar Boeschen <ingmar.boeschen@uni-hamburg.de>
Description: Features include the ability to extract tabled content from NISO-JATS-coded XML, any native HTML or HML file, DOCX, and PDF documents, and then collapse it into a text format that is readable by humans by mimicking the actions of a screen reader. As tables within PDF documents are extracted with the 'tabulapdf' package, and the table captions and footnotes cannot be extracted, the results on tables within PDF documents have to be considered less precise. The function 'table2matrix()' returns a list of the tables within a document as character matrices. '[table2text()]' collapses the matrix content into a list of character strings by imitating the behavior of a screen reader. The textual representation of characters and numbers can be unified with unifyMatrix() before parsing. The function 'table2stats()' extracts the tabled statistical test results from the collapsed text with the function 'standardStats()' from the 'JATSdecoder' package and, if activated, checks the reported and coded [...truncated...]
Depends: R (>= 4.1)
Imports: utils, JATSdecoder, tabulapdf
License: GPL-3
URL: https://github.com/ingmarboeschen/tableParser
BugReports: https://github.com/ingmarboeschen/tableParser/issues
Language: en-US
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-23 09:55:29 UTC; ingmar
Author: Ingmar Boeschen [aut, cre]
Repository: CRAN
Date/Publication: 2026-01-27 21:00:07 UTC

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New package rjd3x13 with initial version 3.6.0
Package: rjd3x13
Title: Seasonal Adjustment with X-13 in 'JDemetra+ 3.x'
Version: 3.6.0
Description: R Interface to 'JDemetra+ 3.x' (<https://github.com/jdemetra>) time series analysis software. It offers full access to options and outputs of 'X-13', including Reg-ARIMA modelling (automatic AutoRegressive Integrated Moving Average (ARIMA) model with outlier detection and trading days adjustment) and X-11 decomposition.
License: EUPL
URL: https://github.com/rjdverse/rjd3x13, https://rjdverse.github.io/rjd3x13/
BugReports: https://github.com/rjdverse/rjd3x13/issues
Depends: R (>= 4.1.0)
Imports: rJava (>= 1.0-6), RProtoBuf (>= 0.4.20), rjd3toolkit (>= 3.6.0), rjd3jars
Encoding: UTF-8
SystemRequirements: Java (>= 17)
NeedsCompilation: no
Packaged: 2026-01-23 09:56:04 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: 2026-01-27 21:00:13 UTC

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New package partycoloR with initial version 0.2.0
Package: partycoloR
Title: Extract Party Colors and Logos from Wikipedia
Version: 0.2.0
Description: Extract political party colors and logos from English Wikipedia party pages. Provides functions to scrape party infoboxes for color codes (HEX or HTML color names) and logo images. Includes integration with the Party Facts database for easy party lookups. Designed for political scientists and party researchers working with electoral and party data. For Party Facts, see Döring and Regel (2019) <doi:10.1177/1354068818820671> and Bederke, Döring, and Regel (2023) <doi:10.7910/DVN/TJINLQ>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: httr (>= 1.4.0), rvest (>= 1.0.0), xml2 (>= 1.3.0), purrr (>= 0.3.0), stringr (>= 1.4.0), tibble (>= 3.0.0), rlang (>= 0.4.0), curl (>= 4.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2, scales, dplyr, tidyr
VignetteBuilder: knitr
URL: https://github.com/lwarode/partycoloR
BugReports: https://github.com/lwarode/partycoloR/issues
NeedsCompilation: no
Packaged: 2026-01-23 07:27:02 UTC; lukaswarode
Author: Lukas Warode [aut, cre]
Maintainer: Lukas Warode <lukas.warode@gmx.de>
Repository: CRAN
Date/Publication: 2026-01-27 21:00:19 UTC

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New package GeometricMorphometricsMix with initial version 0.6.0.1
Package: GeometricMorphometricsMix
Title: Heterogeneous Methods for Shape and Other Multidimensional Data
Version: 0.6.0.1
Description: Tools for geometric morphometric analyses and multidimensional data. Implements methods for morphological disparity analysis using bootstrap and rarefaction, as reviewed in Foote (1997) <doi:10.1146/annurev.ecolsys.28.1.129>. Includes integration and modularity testing, following Fruciano et al. (2013) <doi:10.1371/journal.pone.0069376>, using Escoufier's RV coefficient as test statistic as well as two-block partial least squares - PLS, Rohlf and Corti (2000) <doi:10.1080/106351500750049806>. Also includes vector angle comparisons, orthogonal projection for data correction (Burnaby (1966) <doi:10.2307/2528217>; Fruciano (2016) <doi:10.1007/s00427-016-0537-4>), and parallel analysis for dimensionality reduction (Buja and Eyuboglu (1992) <doi:10.1207/s15327906mbr2704_2>).
Depends: R (>= 3.5.0), ape, stats, corpcor
Imports: methods, mclust
Suggests: Morpho, utils, geometry, nlshrink, lmf, MASS, clusterGeneration, ggplot2, Rmpfr, knitr, rmarkdown, phytools, mvMORPH, testthat (>= 3.0.0), future, future.apply
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-01-23 10:37:07 UTC; carme
Author: Carmelo Fruciano [aut, cre]
Maintainer: Carmelo Fruciano <carmelo.fruciano@unict.it>
Repository: CRAN
Date/Publication: 2026-01-27 21:00:24 UTC

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New package CoFM with initial version 1.1.4
Package: CoFM
Title: Copula Factor Models
Version: 1.1.4
Author: Guangbao Guo [aut, cre], Xin Gao [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Description: Provides tools for factor analysis in high-dimensional settings under copula-based factor models. It includes functions to simulate factor-model data with copula-distributed idiosyncratic errors (e.g., Clayton, Gumbel, Frank, Student t and Gaussian copulas) and to perform diagnostic tests such as the Kaiser-Meyer-Olkin measure and Bartlett's test of sphericity. Estimation routines include principal component based factor analysis, projected principal component analysis, and principal orthogonal complement thresholding for large covariance matrix estimation. The philosophy of the package is described in Guo G. (2023) <doi:10.1007/s00180-022-01270-z>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0), spelling
NeedsCompilation: no
Imports: MASS, psych, copula, matrixcalc, stats
Language: en-US
Packaged: 2026-01-22 13:15:54 UTC; admin
Repository: CRAN
Date/Publication: 2026-01-27 20:50:07 UTC

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New package stdbscan with initial version 0.1.0
Package: stdbscan
Title: Spatio-Temporal DBSCAN Clustering
Version: 0.1.0
Description: Implements the ST-DBSCAN (spatio-temporal density-based spatial clustering of applications with noise) clustering algorithm for detecting spatially and temporally dense regions in point data, with a fast C++ backend via 'Rcpp'. Birant and Kut (2007) <doi:10.1016/j.datak.2006.01.013>.
License: GPL (>= 3)
Depends: R (>= 3.5.0)
Encoding: UTF-8
URL: https://github.com/MiboraMinima/stdbscan/, https://miboraminima.github.io/stdbscan/
BugReports: https://github.com/MiboraMinima/stdbscan/issues/
LinkingTo: Rcpp
Imports: Rcpp
Suggests: knitr, rmarkdown, readr, testthat, ggplot2, lubridate, plotly, covr, MetBrewer
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2026-01-22 18:02:50 UTC; miboraminima
Author: Antoine Le Doeuff [aut, cre]
Maintainer: Antoine Le Doeuff <antoine.ldoeuff@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-27 09:20:08 UTC

More information about stdbscan at CRAN
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New package INLAvaan with initial version 0.2.2
Package: INLAvaan
Title: Approximate Bayesian Latent Variable Analysis
Version: 0.2.2
Description: Implements approximate Bayesian inference for Structural Equation Models (SEM) using a custom adaptation of the Integrated Nested Laplace Approximation as described in Rue et al. (2009) <doi:10.1111/j.1467-9868.2008.00700.x>. Provides a computationally efficient alternative to Markov Chain Monte Carlo (MCMC) for Bayesian estimation, allowing users to fit latent variable models using the 'lavaan' syntax.
License: GPL (>= 3)
URL: https://inlavaan.haziqj.ml/, https://github.com/haziqj/INLAvaan
BugReports: https://github.com/haziqj/INLAvaan/issues
Imports: blavaan, cli, cowplot, dplyr, ggplot2, lavaan, methods, modeest, mvtnorm, numDeriv, qrng, scales, statmod, stats, tidyr, ucminf, utils
Suggests: future, knitr, lme4, psychotools, quarto, rmarkdown, rstan, sn, spacefillr, testthat (>= 3.0.0)
VignetteBuilder: quarto
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-22 20:45:28 UTC; haziqj
Author: Haziq Jamil [aut, cre, cph] , Havard Rue [ctb] , Alvin Bong [ctb]
Maintainer: Haziq Jamil <haziq.jamil@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-27 09:30:02 UTC

More information about INLAvaan at CRAN
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New package pkpd.Release with initial version 0.1.0
Package: pkpd.Release
Title: Model Fitting and Simulation for Drug Release Kinetics and PK/PD
Version: 0.1.0
Author: Paul Angelo C. Manlapaz [aut, cre]
Maintainer: Paul Angelo C. Manlapaz <pacmanlapaz@gmail.com>
Description: Provides a comprehensive framework for model fitting and simulation of drug release kinetics, pharmacokinetics (PK), and pharmacodynamics (PD). The package implements widely used mechanistic and empirical models for in vitro drug release, including zero-order, first-order, Higuchi, Korsmeyer-Peppas, Hixson-Crowell, and Weibull models. Pharmacokinetic functionality includes linear and nonlinear functions for one- and two-compartment models for intravenous bolus and oral administration, Michaelis-Menten kinetics, and non-compartmental analysis (NCA). Pharmacodynamic and dose-response modeling is supported through Emax-based models, including stimulatory (sigmoid Emax) and inhibitory (sigmoid Imax) Hill models, four- and five-parameter logistic models, as well as median toxic dose (TD50) and lethal dose (LD50) models. The package is intended to support parameter estimation, simulation, and model comparison in pharmaceutical research, drug development, and pharmacometrics education. For mo [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, ggplot2, minpack.lm, gridExtra, scales
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-01-22 09:48:28 UTC; PTRI
Repository: CRAN
Date/Publication: 2026-01-27 08:40:02 UTC

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New package GowerSom with initial version 0.1.0
Package: GowerSom
Title: Self-Organizing Maps for Mixed-Attribute Data Using Gower Distance
Version: 0.1.0
Description: Implements a variant of the Self-Organizing Map (SOM) algorithm designed for mixed-attribute datasets. Similarity between observations is computed using the Gower distance, and categorical prototypes are updated via heuristic strategies (weighted mode and multinomial sampling). Provides functions for model fitting, mapping, visualization (U-Matrix and component planes), and evaluation, making SOM applicable to heterogeneous real-world data. For methodological details see Sáez and Salas (2026) <doi:10.1007/s41060-025-00941-6>.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: StatMatch, dplyr, gower, ggplot2, cluster, reshape2, grid, utils, stats,cli
Suggests: knitr, rmarkdown
NeedsCompilation: yes
Maintainer: Patricio Salas <patricioasalas@udec.cl>
Packaged: 2026-01-22 11:44:32 UTC; Patricio Salas
Author: Patricio Salas [aut, cre] , Patricio Saez [aut]
Repository: CRAN
Date/Publication: 2026-01-27 08:50:02 UTC

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New package datacult with initial version 0.1.0
Package: datacult
Title: Exploratory Data Analysis for Public Policy Applied to Culture
Version: 0.1.0
Description: Implementation of frequency tables and bar charts for qualitative variables and checkbox fields. This package implements tables and charts used in reports at Funarte (National Arts Foundation) and OBEC (Culture and Creative Economy Observatory) in Brazil, and its main purpose is to simplify the use of R for people with a background in the humanities and arts. Examples and details can be viewed in this presentation from 2026: <https://formacao2026.netlify.app/assets/modulo_3/modulo3#/title-slide>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, forcats, ggplot2, janitor, rlang, scales
NeedsCompilation: no
Packaged: 2026-01-22 08:45:57 UTC; gilberto
Author: Gilberto Sassi [aut, cre]
Maintainer: Gilberto Sassi <sassi.pereira.gilberto@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-01-27 08:40:15 UTC

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New package annotaR with initial version 0.1.1
Package: annotaR
Title: Tidy, Integrated Gene Annotation
Version: 0.1.1
Maintainer: MD. Arshad <arshad10867c@gmail.com>
Description: A framework for intuitive, multi-source gene and protein annotation, with a focus on integrating functional genomics with disease and drug data for translational insights. Methods used include g:Profiler (Raudvere et al. (2019) <doi:10.1093/nar/gkz369>), biomaRt (Durinck et al. (2009) <doi:10.1038/nprot.2009.97>), and the Open Targets Platform (Koscielny et al. (2017) <doi:10.1093/nar/gkw1055>).
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Imports: dplyr, gprofiler2, httr, jsonlite, purrr, tidyr, ggplot2, biomaRt, tibble, magrittr, later (>= 1.3.1), testthat (>= 3.0.0), knitr (>= 1.50), rmarkdown
NeedsCompilation: no
Packaged: 2026-01-22 10:07:55 UTC; sulky
Author: MD. Arshad [aut, cre]
Repository: CRAN
Date/Publication: 2026-01-27 08:40:19 UTC

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Mon, 26 Jan 2026

New package uniLasso with initial version 2.11
Package: uniLasso
Title: Univariate-Guided Sparse Regression
Version: 2.11
Date: 2026-01-13
Depends: glmnet, stats, R (>= 3.6.0)
Imports: methods, utils, MASS
Suggests: testthat
Description: Fit a univariate-guided sparse regression (lasso), by a two-stage procedure. The first stage fits p separate univariate models to the response. The second stage gives more weight to the more important univariate features, and preserves their signs. Conveniently, it returns an objects that inherits from class 'glmnet', so that all of the methods for 'glmnet' are available. See Chatterjee, Hastie and Tibshirani (2025) <doi:10.1162/99608f92.c79ff6db> for details.
Encoding: UTF-8
License: GPL-2
NeedsCompilation: no
Packaged: 2026-01-22 00:40:40 UTC; hastie
Author: Trevor Hastie [aut, cre], Rob Tibshirani [aut], Sourav Chatterjee [aut]
Maintainer: Trevor Hastie <hastie@stanford.edu>
Repository: CRAN
Date/Publication: 2026-01-26 17:00:02 UTC

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New package starling with initial version 0.6.5
Package: starling
Title: Link Infectious Disease Cases to Vaccination and Hospitalization Records
Version: 0.6.5
Description: Facilitates probabilistic record linkage between infectious disease surveillance datasets (notifiable disease registers, outbreak line-lists), vaccination registries, and hospitalization records using methods based on Fellegi and Sunter (1969) <doi:10.1080/01621459.1969.10501049> and Sayers et al. (2016) <doi:10.1093/ije/dyv322>. The package provides core functions for data preparation, linkage, and analysis: clean_the_nest() standardizes variable names and formats across heterogeneous datasets; murmuration() performs machine learning-based record linkage using blocking variables and similarity metrics; molting() deidentifies datasets for secure sharing; homing() re-identifies previously deidentified datasets; plumage() identifies and categorizes comorbidities; and preening() creates analysis-ready variables including age categories and temporal groupings. Designed for epidemiological research linking acute and post-acute disease outcomes to vaccination status and healthcar [...truncated...]
License: GPL (>= 3)
Depends: R (>= 3.5.0)
Imports: dplyr, lubridate, janitor, stringr, tidyr, reclin2, datawizard, digest, rlang, magrittr
Suggests: testthat (>= 3.0.0), knitr, gtsummary, rmarkdown
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-01-21 09:11:14 UTC; SmollN
Author: Nicolas Smoll [aut, cre]
Maintainer: Nicolas Smoll <nrsmoll@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-26 16:20:08 UTC

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New package SpatialDownscaling with initial version 0.1.2
Package: SpatialDownscaling
Title: Methods for Spatial Downscaling Using Deep Learning
Version: 0.1.2
Date: 2026-01-21
Imports: stats, tensorflow, keras3, magrittr, Rdpack, raster, abind
Description: The aim of the spatial downscaling is to increase the spatial resolution of the gridded geospatial input data. This package contains two deep learning based spatial downscaling methods, super-resolution deep residual network (SRDRN) (Wang et al., 2021 <doi:10.1029/2020WR029308>) and UNet (Ronneberger et al., 2015 <doi:10.1007/978-3-319-24574-4_28>), along with a statistical baseline method bias correction and spatial disaggregation (Wood et al., 2004 <doi:10.1023/B:CLIM.0000013685.99609.9e>). The SRDRN and UNet methods are implemented to optionally account for cyclical temporal patterns in case of spatio-temporal data. For more details of the methods, see Sipilä et al. (2025) <doi:10.48550/arXiv.2512.13753>.
License: GPL-3
Encoding: UTF-8
LazyData: true
SystemRequirements: Python (>= 3.8), TensorFlow, Keras
Depends: R (>= 4.4.0)
NeedsCompilation: no
Packaged: 2026-01-21 12:18:06 UTC; mikasipila
Author: Mika Sipilae [aut, cre, cph] , Claudia Cappello [aut] , Sandra De Iaco [aut] , Klaus Nordhausen [aut] , Sara Taskinen [aut]
Maintainer: Mika Sipilae <mika.e.sipila@jyu.fi>
Repository: CRAN
Date/Publication: 2026-01-26 16:20:38 UTC

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New package repfun with initial version 0.1.2
Package: repfun
Title: Create Tables, Listings and Figures using Functions Styled after SAS™ Macros
Version: 0.1.2
Description: Mimic the style of traditional reporting macros for clinical trials. The purpose is to generate tables, listings and figures that support clinical research. This package is well suited for firms or individuals who wish to incorporate R without changing their ways of working as it follows a traditional clinical research workflow. Invoke functions (instead of macros) to summarize data and produce formatted reports. This package differs from others in that it includes tools (wrappers) for both analyzing and reporting data.
License: Apache License (== 2.0)
Encoding: UTF-8
Imports: arrow, data.table, glue, jsonlite, rlang, xportr, Hmisc, r2rtf, haven, dplyr, tidyr, magrittr, stringr
Depends: R (>= 3.5)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), rprojroot, DT, kableExtra, admiral, tibble, lubridate, ggplot2 (>= 3.5.0), devtools, spelling
VignetteBuilder: knitr
LazyData: true
URL: https://gsk-biostatistics.github.io/repfun/, https://github.com/GSK-Biostatistics/repfun
Language: en-US
BugReports: https://github.com/GSK-Biostatistics/repfun/issues
NeedsCompilation: no
Packaged: 2026-01-21 14:14:56 UTC; cr715052
Author: Chris Rook [aut, cre], Yongwei Wang [aut], GlaxoSmithKline Research & Development Limited [cph, fnd]
Maintainer: Chris Rook <cr883296@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-26 16:40:02 UTC

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New package multiRL with initial version 0.2.3
Package: multiRL
Version: 0.2.3
Title: Reinforcement Learning Tools for Multi-Armed Bandit
Description: A flexible general-purpose toolbox for implementing Rescorla-Wagner models in multi-armed bandit tasks. As the successor and functional extension of the 'binaryRL' package, 'multiRL' modularizes the Markov Decision Process (MDP) into six core components. This framework enables users to construct custom models via intuitive if-else syntax and define latent learning rules for agents. For parameter estimation, it provides both likelihood-based inference (MLE and MAP) and simulation-based inference (ABC and RNN), with full support for parallel processing across subjects. The workflow is highly standardized, featuring four main functions that strictly follow the four-step protocol (and ten rules) proposed by Wilson & Collins (2019) <doi:10.7554/eLife.49547>. Beyond the three built-in models (TD, RSTD, and Utility), users can easily derive new variants by declaring which variables are treated as free parameters.
Maintainer: YuKi <hmz1969a@gmail.com>
URL: https://yuki-961004.github.io/multiRL/
BugReports: https://github.com/yuki-961004/multiRL/issues
License: GPL-3
Encoding: UTF-8
LazyData: TRUE
ByteCompile: TRUE
Depends: R (>= 4.1.0)
Imports: methods, utils, Rcpp, compiler, future, doFuture, foreach, doRNG, progressr, ggplot2, scales, grDevices
LinkingTo: Rcpp
Suggests: stats, GenSA, GA, DEoptim, pso, mlrMBO, mlr, ParamHelpers, smoof, lhs, DiceKriging, rgenoud, cmaes, nloptr, abc, tensorflow, keras, reticulate
NeedsCompilation: yes
Packaged: 2026-01-21 08:36:40 UTC; hmz19
Author: YuKi [aut, cre] , Xinyu [aut]
Repository: CRAN
Date/Publication: 2026-01-26 16:20:14 UTC

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New package muiTreeView with initial version 0.1.1
Package: muiTreeView
Title: 'MUI X Tree View' for 'shiny' Apps and 'Quarto'
Version: 0.1.1
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>
Description: Give access to 'MUI X Tree View' components, which lets users navigate hierarchical lists of data with nested levels that can be expanded and collapsed.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: htmltools, shiny.react (>= 0.4.0)
Suggests: shiny, testthat (>= 3.0.0)
URL: https://felixluginbuhl.com/muiTreeView/
BugReports: https://github.com/lgnbhl/muiTreeView/issues
NeedsCompilation: no
Packaged: 2026-01-21 14:19:20 UTC; felix
Author: Felix Luginbuhl [aut, cre]
Repository: CRAN
Date/Publication: 2026-01-26 16:30:02 UTC

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New package muiMaterial with initial version 0.1.2
Package: muiMaterial
Title: 'Material UI' for 'shiny' Apps and 'Quarto'
Version: 0.1.2
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>
Description: A set of user interface components for building 'shiny' applications and 'quarto' documents, including inputs, layouts, navigation, surfaces, and various utilities. All components 'Material UI' from the company 'MUI' <https://mui.com/> are available and all inputs have usage examples in R.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.4)
Imports: htmltools, checkmate, shiny, shiny.react (>= 0.4.0)
Suggests: reactRouter, shiny.router, testthat (>= 3.0.0)
URL: https://felixluginbuhl.com/muiMaterial/
BugReports: https://github.com/lgnbhl/muiMaterial/issues
NeedsCompilation: no
Packaged: 2026-01-21 14:17:32 UTC; felix
Author: Felix Luginbuhl [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-01-26 16:20:21 UTC

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New package kuzco with initial version 0.1.0
Package: kuzco
Title: Computer Vision with Large Language Models
Version: 0.1.0
Description: Make computer vision tasks approachable in R by leveraging Large Language Models. Providing fine-tuned prompts, boilerplate functions, and input/output helpers for common computer vision workflows, such as classifying and describing images. Functions are designed to take images as input and return structured data, helping users build practical applications with minimal code.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, ellmer, graphics, gt, gtExtras, imager, jsonlite, magick, ollamar, rlang, stringr, tidyr, utils
Suggests: knitr, quarto, shiny, bslib, rmarkdown, purrr, mirai, tibble, tictoc, httr
VignetteBuilder: quarto, knitr
URL: https://frankiethull.github.io/kuzco/, https://github.com/frankiethull/kuzco
BugReports: https://github.com/frankiethull/kuzco/issues
NeedsCompilation: no
Packaged: 2026-01-21 20:55:30 UTC; frankiethull
Author: Frank Hull [aut, cre, cph], Johannes Breuer [ctb] , Jordi Rosell [ctb]
Maintainer: Frank Hull <frankiethull@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-26 16:50:02 UTC

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New package glmSTARMA with initial version 1.0.0
Package: glmSTARMA
Title: (Double) Generalized Linear Models for Spatio-Temporal Data
Version: 1.0.0
Date: 2026-01-14
Author: Steffen Maletz [aut, cre] , Konstantinos Fokianos [aut] , Roland Fried [aut] , Valerie Weismann [ctb]
Maintainer: Steffen Maletz <maletz@statistik.tu-dortmund.de>
Description: Fit spatio-temporal models within a (double) generalized linear modelling framework. The package includes functions for estimation, simulation and inference.
URL: https://github.com/stmaletz/glmSTARMA
BugReports: https://github.com/stmaletz/glmSTARMA/issues
Imports: Rcpp (>= 1.0.10), copula, nloptr (>= 1.2.0)
LinkingTo: Rcpp, RcppArmadillo, roptim, nloptr (>= 1.2.0)
Suggests: Matrix, testthat, spdep
Depends: R (>= 4.5.0)
SystemRequirements: C++17
License: GPL (>= 3)
ByteCompile: true
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2026-01-21 14:59:00 UTC; steffen
Repository: CRAN
Date/Publication: 2026-01-26 16:30:07 UTC

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New package FishDiveR with initial version 1.1.0
Package: FishDiveR
Title: Classify Aquatic Animal Behaviours from Vertical Movement Data
Version: 1.1.0
Maintainer: Calvin Beale <calvin.beale.8@gmail.com>
Description: Quantitatively analyse depth time-series data from pop-up satellite archival tags (PSATs) through the application of continuous wavelet transformation (CWT) combined with Principal Component Analysis (PCA), and k-means clustering. Import, crop, and plot depth time-depth records (TDRs). Using CWT to detect important signals within the non-stationary data, we create daily wavelet statistics to summarise vertical movements on different wavelet periods and combine with daily and diel depth statistics. Classify depth time-series with unsupervised k-means clustering into 24-hour periods of vertical movement behaviour with distinct patterns of vertical movement. Plot example days from each behaviour cluster, and plot the TDR coloured by cluster. Based on principals of combining CWT with k-means first developed by Sakamoto (2009) <doi:10.1371/journal.pone.0005379> and redeveloped by Beale (2026) <doi:10.21203/rs.3.rs-6907076/v1>.
License: GPL (>= 3)
URL: https://github.com/calvinsbeale/FishDiveR
BugReports: https://github.com/calvinsbeale/FishDiveR/issues
Imports: cluster, cowplot, data.table, dplyr, FactoMineR, geometry, ggplot2, gridExtra, lubridate, moments, patchwork, colorspace, rgl, Rfast, rlang, scales, suncalc, tidyr, WaveletComp
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-21 15:29:21 UTC; User
Author: Calvin Beale [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-01-26 16:30:14 UTC

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New package ditwahLandslide with initial version 1.2.0
Package: ditwahLandslide
Title: Early Warning Information on Landslides in Sri Lanka During the Ditwah Storm
Version: 1.2.0
Description: Provides curated early warning data on landslides in Sri Lanka during the Ditwah storm. It includes structured, machine-readable tidy dataset. This is developed for education and research purposes.
License: GPL (>= 3)
Imports: dplyr, ggplot2, lubridate, plotly, stringr, shiny
Encoding: UTF-8
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-21 16:55:18 UTC; DELL
Author: Thiyanga S. Talagala [aut, cre] , Geethma R. Jayasinghe [aut], Y. M. Amali P. Rajapaksha [aut], N. G. Shehara Minimuthu [aut], Y. G. D. M. Savindya Thathsarani [aut]
Maintainer: Thiyanga S. Talagala <ttalagala@sjp.ac.lk>
Repository: CRAN
Date/Publication: 2026-01-26 16:40:09 UTC

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New package BERTopic with initial version 0.1.0
Package: BERTopic
Title: Topic Modeling with 'BERTopic'
Version: 0.1.0
Description: Interface to the Python package 'BERTopic' <https://maartengr.github.io/BERTopic/index.html> for transformer-based topic modeling. Provides R wrappers to fit BERTopic models, transform new documents, update and reduce topics, extract topic- and document-level information, and generate interactive visualizations. 'Python' backends and dependencies are managed via the 'reticulate' package.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: reticulate, rlang, tibble, utils
Suggests: Matrix, htmltools, testthat (>= 3.1.0)
LazyData: true
URL: https://github.com/Feng-Ji-Lab/BERTopic
BugReports: https://github.com/Feng-Ji-Lab/BERTopic/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-01-21 18:28:49 UTC; zby15
Author: Biying Zhou [aut, cre]
Maintainer: Biying Zhou <biying.zhou@psu.edu>
Repository: CRAN
Date/Publication: 2026-01-26 16:50:14 UTC

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New package aquacultuR with initial version 1.1.1
Package: aquacultuR
Title: A Comprehensive R Tool for Zootechnical Metrics
Version: 1.1.1
Description: A collection of functions to compute frequently used metrics for nutrition trials in aquaculture. Implementations include metrics to calculate growth, feed conversion, nutrient use efficiency, and feed digestibility. The package supports reproducible workflows for summarising experimental results and reduces manual calculation errors. For additional information see Machado e Silva, Karthikeyan and Tellbüscher (2025) <doi:10.13140/RG.2.2.27322.04808>.
License: GPL (>= 3)
VignetteBuilder: knitr
URL: https://github.com/TellAnAx/aquacultuR
BugReports: https://github.com/TellAnAx/aquacultuR/issues
Encoding: UTF-8
LazyData: true
Imports: dplyr, magrittr
Suggests: knitr, lubridate, tidyr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-01-21 20:10:14 UTC; anil
Author: Anil Axel Tellbuescher [aut, cre, cph] , Davide Machado e Silva [aut] , Simao Correia [aut] , Madhav Karthikeyan [ctb] , Tomas Penka [dtc]
Maintainer: Anil Axel Tellbuescher <atellbuscher@frov.jcu.cz>
Repository: CRAN
Date/Publication: 2026-01-26 16:50:08 UTC

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Sat, 24 Jan 2026

New package growthTrendR with initial version 0.2.0
Package: growthTrendR
Title: Toolkit for Data Processing, Quality, and Statistical Models
Version: 0.2.0
Date: 2026-01-19
Maintainer: Xiao Jing Guo <xiaojing.guo@nrcan-rncan.gc.ca>
Description: Offers tools for data formatting, anomaly detection, and classification of tree-ring data using spatial comparisons and cross-correlation. Supports flexible detrending and climate–growth modeling via generalized additive mixed models (Wood 2017, ISBN:978-1498728331) and the 'mgcv' package (<https://CRAN.R-project.org/package=mgcv>), enabling robust analysis of non-linear trends and autocorrelated data. Provides standardized visual reporting, including summaries, diagnostics, and model performance. Compatible with '.rwl' files and tailored for the Canadian Forest Service Tree-Ring Data (CFS-TRenD) repository (Girardin et al. (2021) <doi:10.1139/er-2020-0099>), offering a comprehensive and adaptable framework for dendrochronologists working with large and complex datasets.
License: GPL-3
Encoding: UTF-8
Imports: data.table (>= 1.17.8), stringr (>= 1.4.0), stats (>= 4.3.2), mgcv (>= 1.8.0), ggplot2 (>= 3.0.0), nlme(>= 3.0.0), patchwork(>= 1.0.0), terra (>= 1.7-71), raster(>= 3.6-26), furrr(>= 0.3.1), future(>= 1.34.0), pryr(>= 0.1.6), htmltools(>= 0.5.9), curl(>= 7.0.0), dplyr(>= 1.1.4)
Suggests: knitr, geosphere, ggeffects (>= 2.3.0), ggforce(>= 0.4.2), gstat(>= 2.1-3), scales(>= 1.3.0), purrr(>= 1.0.0), parallel(>= 4.3.0), MuMIn(>= 1.48.2), rmarkdown(>= 2.29), rstudioapi(>= 0.16), MASS(>= 7.3-60), sf(>= 1.0-15), sp(>= 2.1.0), spdep(>= 1.3), magick(>= 2.8.6), gt(>= 1.2.0), kableExtra(>= 1.4.0), httr(>= 1.4.7)
Depends: R (>= 4.3.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-20 17:35:41 UTC; xjguo
Author: Xiao Jing Guo [aut, cre], Martin Girardin [aut], Juha Metsaranta [aut], David Gervais [aut], Elizabeth Campbell [aut]
Repository: CRAN
Date/Publication: 2026-01-24 11:00:02 UTC

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