CRANberries

Fri, 12 Dec 2025

New package ume with initial version 1.5.2
Package: ume
Title: Ultrahigh-Resolution Mass Spectrometry Data Evaluation for Complex Organic Matter
Version: 1.5.2
Description: Provides tools for assigning molecular formulas from exact masses obtained by ultrahigh-resolution mass spectrometry. The methodology follows the workflow described in Leefmann et al. (2019) <doi:10.1002/rcm.8315>. The package supports the inspection, filtering and visualization of molecular formula data and includes utilities for calculating common molecular parameters (e.g., double bond equivalents, DBE). A graphical user interface is available via the 'shiny'-based 'ume' application.
URL: https://gitlab.awi.de/bkoch/ume, https://ume.awi.de/, https://www.awi.de/en/ume
Depends: R (>= 4.2.0)
Imports: data.table, ggplot2, plotly, vegan, viridis
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Suggests: rmarkdown, pander, knitr, testthat (>= 3.0.0), xml2, pdftools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-08 08:48:16 UTC; bkoch
Author: Boris Koch [aut, cre] , Tim Leefmann [ctb], Fabian Moye [ctb]
Maintainer: Boris Koch <boris.koch@awi.de>
Repository: CRAN
Date/Publication: 2025-12-12 21:30:02 UTC

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New package tsforecast with initial version 1.1.0
Package: tsforecast
Title: Time Series Forecasting Functions
Version: 1.1.0
Date: 2025-12-08
Maintainer: Ka Yui Karl Wu <karlwuky@suss.edu.sg>
Language: en-GB
Description: Fundamental time series forecasting models such as autoregressive integrated moving average (ARIMA), exponential smoothing, and simple moving average are included. For ARIMA models, the output follows the traditional parameterisation by Box and Jenkins (1970, ISBN: 0816210942, 9780816210947). Furthermore, there are functions for detailed time series exploration and decomposition, respectively. All data and result visualisations are generated by 'ggplot2' instead of conventional R graphical output. For more details regarding the theoretical background of the models see Hyndman, R.J. and Athanasopoulos, G. (2021) <https://otexts.com/fpp3/>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: ggplot2, lubridate, forecast, tseries, scales
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-08 07:41:27 UTC; kykar
Author: Ka Yui Karl Wu [aut, cre]
Repository: CRAN
Date/Publication: 2025-12-12 21:20:02 UTC

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New package rACMEMEEV with initial version 1.0.0
Package: rACMEMEEV
Title: Multi-Variate Measurement Error Adjustment
Version: 1.0.0
Description: A methodology to perform multivariate measurement error adjustment using external validation data. Allows users to remove the attenuating effect of measurement error by incorporating a distribution of external validation data, and allows for plotting of all resultant adjustments. Sensitivity analyses can also be run through this package to test how different ranges of validity coefficients can impact the effect of the measurement error adjustment. The methods implemented in this package are based on the work by Muoka, A., Agogo, G., Ngesa, O., Mwambi, H. (2020): <doi:10.12688/f1000research.27892.1>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), BH, glmnet
Imports: rjags, MCMCpack, ggplot2, reshape2, rstan, stats, utils, ggpubr, patchwork, bayesplot, doSNOW, foreach, snow, parallelly, dplyr
VignetteBuilder: knitr
URL: https://github.com/westford14/rACME-MEEV
BugReports: https://github.com/westford14/rACME-MEEV/issues
NeedsCompilation: no
Packaged: 2025-12-08 09:18:25 UTC; westford14
Author: Alexander Lee [aut, cre, cph]
Maintainer: Alexander Lee <westford14@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-12 21:30:13 UTC

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New package MixFrac with initial version 1.0
Package: MixFrac
Title: Fractional Factorial Designs with Alias and Trend-Free Analysis
Version: 1.0
Description: Constructs mixed-level and regular fractional factorial designs using coordinate-exchange optimization and automatic generator search. Design quality is evaluated with J2 and balance (H-hat) criteria, alias structures are computed via correlation-based chaining, and deterministic trend-free run orders can be produced following Coster (1993) <doi:10.1214/aos/1176349410>. Mixed-level design construction follows the NONBPA approach of Pantoja-Pacheco et al. (2021) <doi:10.3390/math9131455>. Regular fraction identification follows Guo, Simpson and Pignatiello (2007) <doi:10.1080/00224065.2007.11917691>. Alias structure computation follows Rios-Lira et al.(2021) <doi:10.3390/math9233053>.
License: GPL-3
Encoding: UTF-8
Imports: stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-08 06:58:46 UTC; Sukanta
Author: Sukanta Dash [aut, cre]
Maintainer: Sukanta Dash <sukanta.iasri@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-12 21:20:14 UTC

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New package gpyramid with initial version 0.0.1
Package: gpyramid
Title: Identify Efficient Crossing Schemes for Gene Pyramiding
Version: 0.0.1
Maintainer: Shoji Taniguchi <taniguchi.shoji938@naro.go.jp>
Description: Calculates the cost of crossing in terms of the number of individuals and generations, which is theoretically formulated by Servin et al. (2004) <DOI:10.1534/genetics.103.023358>. This package has been designed for selecting appropriate parental genotypes and find the most efficient crossing scheme for gene pyramiding, especially for plant breeding.
Imports: utils, dplyr, ape
License: GPL-2 | GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-08 05:22:35 UTC; taniguchis532
Author: Shoji Taniguchi [aut, cre], The National Agriculture and Food Research Organization [cph]
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2025-12-12 21:10:02 UTC

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New package FactChar with initial version 1.0
Package: FactChar
Title: Characterization and Diagnostic Tools for Factorial Block Designs
Version: 1.0
Maintainer: Sukanta Dash <sukanta.iasri@gmail.com>
Description: Description: Provides comprehensive tools for analysing and characterizing mixed-level factorial designs arranged in blocks. Includes construction and validation of incidence structures, computation of C-matrices, evaluation of A-, D-, E-, and MV-efficiencies, checking of orthogonal factorial structure (OFS), diagnostics based on Hamming distance, discrepancy measures, B-criterion, Es^2 statistics, J2-distance and J2-efficiency, Phi-p optimality, and symmetry conditions for universal optimality. The methodological framework follows foundational work on factorial and mixed-level design assessment by Xu and Wu (2001) <doi:10.1214/aos/1013699993>, and Gupta (1983) <doi:10.1111/j.2517-6161.1983.tb01253.x>. These methods assist in selecting, comparing, and studying factorial block designs across a range of experimental situations.
License: GPL-3
Encoding: UTF-8
Imports: MASS, Matrix
NeedsCompilation: no
Packaged: 2025-12-08 09:33:48 UTC; Sukanta
Author: Sukanta Dash [aut, cre], Vankudoth Kumar [aut], Sunil Kumar Yadav [aut], Anil Kumar [aut], Med Ram Verma [aut]
Repository: CRAN
Date/Publication: 2025-12-12 21:40:02 UTC

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New package DOIcreator with initial version 0.1.0
Package: DOIcreator
Title: Append DOIs to References in Word Documents
Version: 0.1.0
Description: Read 'Word' documents containing bibliographic references, search for corresponding DOIs using the 'Crossref' API, and append the retrieved DOIs directly to the references. Supports parallel processing for faster retrieval and produces a new 'Word' document with numbered references including DOIs.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr, jsonlite, officer, dplyr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-08 09:17:20 UTC; DR. Umar Hussain
Author: Umar Hussain [aut, cre]
Maintainer: Umar Hussain <drumarhussain@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-12 21:30:18 UTC

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New package CHAPGWAS with initial version 0.1.2
Package: CHAPGWAS
Title: CHAP-GWAS: Leveraging Chromosomal Haplotypes to Improve Genome-Wide Association Studies
Version: 0.1.2
Description: CHAP-GWAS (Chromosomal Haplotype-Integrated Genome-Wide Association Study) provides a dynamically adaptive framework for genome-wide association studies (GWAS) that integrates chromosome-scale haplotypes with single nucleotide polymorphism (SNP) analysis. The method identifies and extends haplotype variants based on their phenotypic associations rather than predefined linkage blocks, enabling high-resolution detection of quantitative trait loci (QTL). By leveraging long-range phased haplotype information, CHAP-GWAS improves statistical power and offers a more comprehensive view of the genetic architecture underlying complex traits.
Depends: R (>= 4.0.0)
Imports: MASS, plyr
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-12-08 08:40:42 UTC; neau2
Author: Shibo Wang [aut, cre], Qiong Jia [aut], Zhenyu Jia [aut, ctb]
Maintainer: Shibo Wang <shibow@ucr.edu>
Repository: CRAN
Date/Publication: 2025-12-12 21:30:23 UTC

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New package bayestransmission with initial version 0.1.0
Package: bayestransmission
Title: Bayesian Transmission Models
Version: 0.1.0
Description: Provides Bayesian inference methods for infectious disease transmission models in healthcare settings. Implements Markov Chain Monte Carlo (MCMC) algorithms for estimating transmission parameters from patient-level data including admission, discharge, and testing events as described in Thomas 'et al.' (2015) <doi:10.1093/imammb/dqt021>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: assertthat, dplyr, methods, Rcpp (>= 1.0.12), rlang
Depends: R (>= 4.2.0)
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++17, BLAS, LAPACK
Suggests: checkmate, devtools, ggplot2, testthat (>= 3.0.0), tidyr, knitr, rmarkdown, pillar
RcppModules: Infect
URL: https://epiforesite.github.io/bayestransmission/, https://github.com/EpiForeSITE/bayestransmission
VignetteBuilder: knitr
BugReports: https://github.com/EpiForeSITE/bayestransmission/issues
NeedsCompilation: yes
Packaged: 2025-12-07 01:55:57 UTC; root
Author: Andrew Redd [aut, cre] , Alun Thomas [aut], University of Utah [cph], CDC's Center for Forecasting and Outbreak Analytics [fnd] from the CDC's Center for Forecasting and Outbreak Analytics. Its contents are solely the responsibility of the authors a [...truncated...]
Maintainer: Andrew Redd <andrew.redd@hsc.utah.edu>
Repository: CRAN
Date/Publication: 2025-12-12 21:10:07 UTC

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New package pegs with initial version 0.2
Package: pegs
Title: Pseudo-Expectation Gauss-Seidel
Version: 0.2
Date: 2025-12-07
Maintainer: Alencar Xavier <alenxav@gmail.com>
Description: A lightweight, dependency-free, and simplified implementation of the Pseudo-Expectation Gauss-Seidel (PEGS) algorithm. It fits the multivariate ridge regression model for genomic prediction Xavier and Habier (2022) <doi:10.1186/s12711-022-00730-w> and Xavier et al. (2025) <doi:10.1093/genetics/iyae179>, providing heritability estimates, genetic correlations, breeding values, and regression coefficient estimates for prediction. This package provides an alternative to the 'bWGR' package by Xavier et al. (2019) <doi:10.1093/bioinformatics/btz794> by using 'LAPACK' for its algebraic operations.
License: GPL-3
Depends: R (>= 2.10)
NeedsCompilation: yes
Repository: CRAN
Packaged: 2025-12-08 01:35:31 UTC; rd7564
Author: Alencar Xavier [aut, cre], David Habier [aut]
Date/Publication: 2025-12-12 21:00:02 UTC

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Thu, 11 Dec 2025

New package varPro with initial version 1.0.0
Package: varPro
Version: 1.0.0
Date: 2025-12-07
Title: Model-Independent Variable Selection via the Rule-Based Variable Priority
Author: Min Lu [aut], Aster K. Shear [aut], Udaya B. Kogalur [aut, cre], Hemant Ishwaran [aut]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>
BugReports: https://github.com/kogalur/varPro/issues/
Depends: R (>= 4.3.0),
Imports: randomForestSRC (>= 3.4.5), glmnet, parallel, foreach, gbm, BART, umap, survival
Suggests: mlbench, doMC, caret, MASS, igraph
SystemRequirements: OpenMP
Description: A new framework of variable selection, which instead of generating artificial covariates such as permutation importance and knockoffs, creates release rules to examine the affect on the response for each covariate where the conditional distribution of the response variable can be arbitrary and unknown.
License: GPL (>= 3)
URL: https://www.varprotools.org/ https://www.luminwin.net/ https://ishwaran.org/
NeedsCompilation: yes
Packaged: 2025-12-07 19:10:31 UTC; kogalur
Repository: CRAN
Date/Publication: 2025-12-11 19:20:02 UTC

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New package jollofR with initial version 0.6.4
Package: jollofR
Title: Small Area Population Estimation by Demographics
Version: 0.6.4
Description: Automatic disaggregation of small1area population estimates by demographic groups (e.g., age, sex, race, marital status, educational level, etc) along with the estimates of uncertainty, using advanced Bayesian statistical modelling approaches based on integrated nested Laplace approximation (INLA) Rue et al. (2009) <doi:10.1111/j.1467-9868.2008.00700.x> and stochastic partial differential equation (SPDE) methods Lindgren et al. (2011) <doi:10.1111/j.1467-9868.2011.00777.x>. The package implements hierarchical Bayesian modeling frameworks for small area estimation as described in Leasure et al. (2020) <doi:10.1073/pnas.1913050117> and Nnanatu et al. (2025) <doi:10.1038/s41467-025-59862-4>.
License: MIT + file LICENSE
URL: https://github.com/wpgp/jollofR/, https://wpgp.github.io/jollofR/
BugReports: https://github.com/wpgp/jollofR/issues
Depends: R (>= 4.1.0)
Additional_repositories: https://inla.r-inla-download.org/R/stable/
Imports: terra, raster, ggplot2, dplyr, tidyr, sf, ggpubr, reshape2, utils
Suggests: INLA, withr, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2025-12-07 19:21:35 UTC; mohamedyusuf
Author: Chibuzor Christopher Nnanatu [aut, cre] , Mohamed A. Yusuf [aut] , Somnath Chaudhuri [aut] , Ortis Yankey [aut] , Attila N Lazar [aut] , Andrew J Tatem [aut]
Maintainer: Chibuzor Christopher Nnanatu <cc.nnanatu@soton.ac.uk>
Repository: CRAN
Date/Publication: 2025-12-11 19:20:07 UTC

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New package joinless with initial version 0.0.1
Package: joinless
Title: Exploratory Analysis of Relationships Between Variables
Version: 0.0.1
Maintainer: Braylin Alexander Jimenez Reynoso <braylinjr1511@gmail.com>
Description: Provides tools to explore and summarize relationship patterns between variables across one or multiple datasets. The package relies on efficient sampling strategies to estimate pairwise associations and supports quick exploratory data analysis for large or heterogeneous data sources.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), tibble
NeedsCompilation: no
Packaged: 2025-12-07 22:37:54 UTC; Braylin Jimenez
Author: Braylin Alexander Jimenez Reynoso [aut, cre]
Repository: CRAN
Date/Publication: 2025-12-11 19:30:02 UTC

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New package GACE with initial version 1.0.0
Package: GACE
Title: Generalized Adaptive Capped Estimator for Time Series Forecasting
Version: 1.0.0
Maintainer: Vinodhkumar Gunasekaran <vinoalles@gmail.com>
Description: Provides deterministic forecasting for weekly, monthly, quarterly, and yearly time series using the Generalized Adaptive Capped Estimator. The method includes preprocessing for missing and extreme values, extraction of multiple growth components (including long-term, short-term, rolling, and drift-based signals), volatility-aware asymmetric capping, optional seasonal adjustment via damped and normalized seasonal factors, and a recursive forecast formulation with moderated growth. The package includes a user-facing forecasting interface and a plotting helper for visualization. Related forecasting background is discussed in Hyndman and Athanasopoulos (2021) <https://otexts.com/fpp3/> and Hyndman and Khandakar (2008) <doi:10.18637/jss.v027.i03>. The method extends classical extrapolative forecasting approaches and is suited for operational and business planning contexts where stability and interpretability are important.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, stats, utils
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr, forecast
VignetteBuilder: knitr
URL: https://github.com/vinoalles/GACE
BugReports: https://github.com/vinoalles/GACE/issues
NeedsCompilation: no
Packaged: 2025-12-07 20:32:14 UTC; vinodhkumargunasekaran
Author: Vinodhkumar Gunasekaran [aut, cre]
Repository: CRAN
Date/Publication: 2025-12-11 19:20:18 UTC

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New package yaml12 with initial version 0.1.0
Package: yaml12
Title: Fast 'YAML' 1.2 Parser and Formatter
Version: 0.1.0
Description: A fast, correct, safe, and ergonomic 'YAML' 1.2 parser and generator written in 'Rust'. Convert between 'YAML' and simple 'R' objects with full support for multi-document streams, tags, anchors, and aliases. Offers opt-in handlers for custom tag behavior and round-trips common 'R' data structures. Implements the 'YAML' 1.2.2 specification from the 'YAML' Language Development Team (2021) <https://yaml.org/spec/1.2.2/>. Proudly supported by Posit.
License: MIT + file LICENSE
URL: https://posit-dev.github.io/r-yaml12/, https://github.com/posit-dev/r-yaml12
BugReports: https://github.com/posit-dev/r-yaml12/issues
Depends: R (>= 4.2)
Suggests: jsonlite, knitr, rmarkdown, testthat (>= 3.0.0), waldo, withr
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.70.0, xz
NeedsCompilation: yes
Packaged: 2025-12-03 19:56:58 UTC; tomasz
Author: Tomasz Kalinowski [aut, cre], Posit Software, PBC [cph, fnd] , Authors of the dependency Rust crates [cph]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>
Repository: CRAN
Date/Publication: 2025-12-11 15:50:02 UTC

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New package FRCI with initial version 0.1.0
Package: FRCI
Title: Fuzzy & Randomized Confidence Intervals
Version: 0.1.0
Description: Contains the methods proposed by Geyer and Meeden (2005)<doi:10.1214/088342305000000340> and Trigo et al. (2025) <doi:10.47749/T/UNICAMP.2025.1500297> to construct fuzzy confidence intervals. Compute and plot the fuzzy membership functions of the methods, and the expected length compared with the infimum.
License: GPL-3
Imports: DescTools, calculus, ump, zipfR, graphics, stats
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-07 01:45:50 UTC; caetn
Author: Carlos Henrique Trigo Nasser Felix [aut, cre], Nancy Garcia [aut], Alex Sousa [aut]
Maintainer: Carlos Henrique Trigo Nasser Felix <c214344@dac.unicamp.br>
Repository: CRAN
Date/Publication: 2025-12-11 14:10:02 UTC

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New package wsMed with initial version 1.0.2
Package: wsMed
Title: Within-Subject Mediation Analysis Using Structural Equation Modeling
Version: 1.0.2
Description: Within-subject mediation analysis using structural equation modeling. Examine how changes in an outcome variable between two conditions are mediated through one or more variables. Supports within-subject mediation analysis using the 'lavaan' package by Rosseel (2012) <doi:10.18637/jss.v048.i02>, and extends Monte Carlo confidence interval estimation to missing data scenarios using the 'semmcci' package by Pesigan and Cheung (2023) <doi:10.3758/s13428-023-02114-4>.
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Encoding: UTF-8
Suggests: rmarkdown, devtools, testthat
Imports: knitr, lavaan, semmcci, mice, semboottools, MASS, rlang, dplyr, ggplot2, methods, stats
VignetteBuilder: knitr
LazyData: true
URL: https://yangzhen1999.github.io/wsMed/
BugReports: https://github.com/Yangzhen1999/wsMed/issues
NeedsCompilation: no
Packaged: 2025-12-06 12:34:07 UTC; Administrator
Author: Wendie Yang [aut, cre] , Shu Fai Cheung [aut]
Maintainer: Wendie Yang <1581075494q@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-11 13:30:02 UTC

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New package svgedit with initial version 1.0.0
Package: svgedit
Title: Insert Graphs, Images and Text in SVG Files
Version: 1.0.0
Description: Edit SVG files created in 'Inkscape' by replacing placeholders (e.g. a rectangle element or {} in a text box) by 'ggplot2' objects, images or text. This helps automate the creation of figures with complex layouts.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, rlang, xml2, ggplot2, base64enc
Suggests: palmerpenguins, testthat (>= 3.0.0), svglite, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/DanielThedie/svgedit
BugReports: https://github.com/DanielThedie/svgedit/issues
NeedsCompilation: no
Packaged: 2025-12-06 17:09:41 UTC; daniel
Author: Daniel Thedie [aut, cre, cph]
Maintainer: Daniel Thedie <daniel.thedie@ed.ac.uk>
Repository: CRAN
Date/Publication: 2025-12-11 13:50:02 UTC

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New package survlab with initial version 0.1.0
Package: survlab
Title: Survival Model-Based Imputation for Laboratory Non-Detect Data
Version: 0.1.0
Description: Implements survival-model-based imputation for censored laboratory measurements, including Tobit-type models with several distribution options. Suitable for data with values below detection or quantification limits, the package identifies the best-fitting distribution and produces realistic imputations that respect the censoring thresholds.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Imports: data.table (>= 1.17.0), stats, survival (>= 3.0.0), truncnorm (>= 1.0.0)
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
URL: https://lpereira-ue.github.io/survlab/, https://github.com/lpereira-ue/survlab
NeedsCompilation: no
Packaged: 2025-12-06 16:28:23 UTC; lpereira
Author: Luis Pereira [aut, cre] , Paulo Infante [aut] , Teresa Ferreira [ths] , Paulo Quaresma [ths]
Maintainer: Luis Pereira <d57177@alunos.uevora.pt>
Repository: CRAN
Date/Publication: 2025-12-11 13:40:02 UTC

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New package Ruido with initial version 1.0.0
Package: Ruido
Title: Soundscape Background Noise, Power, and Saturation
Version: 1.0.0
Description: Accessible and flexible implementation of three ecoacoustic indices that are less commonly available in existing R frameworks: Background Noise, Soundscape Power and Soundscape Saturation. The functions were design to accommodate a variety of sampling designs. Users can tailor calculations by specifying spectrogram time bin size, amplitude thresholds and normality tests. By simplifying computation and standardizing reproducible methods, the package aims to support ecoacoustics studies. For more details about the indices read Towsey (2014) <doi:10.1016/j.procs.2014.05.063> and Burivalova (2017) <doi:10.1111/cobi.12968>.
Depends: R(>= 4.3.0)
Imports: methods, tuneR, signal, nortest
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: ggplot2, spelling
Maintainer: Arthur Igor da Fonseca-Freire <arthur.igorr@gmail.com>
BugReports: https://github.com/Arthurigorr/Ruido/issues
URL: https://github.com/Arthurigorr/Ruido
Language: en-US
NeedsCompilation: no
Packaged: 2025-12-05 19:32:59 UTC; arthurigorr
Author: Arthur Igor da Fonseca-Freire [aut, cre, cph], Weslley Geremias dos Santos [ctb], Lucas Rodriguez Forti [ctb]
Repository: CRAN
Date/Publication: 2025-12-11 13:30:19 UTC

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New package nadaverse with initial version 0.1.0
Package: nadaverse
Title: Browse Microdata Catalogs Using 'NADA' REST API
Version: 0.1.0
Date: 2025-11-18
Description: Provides a unified, programmatic interface for searching, browsing, and retrieving metadata from various international organization data repositories that use the National Data Archive ('NADA') software, such as the World Bank, 'FAO', and the International Household Survey Network ('IHSN'). Functions allow users to discover available data collections, country codes, and access types, perform complex searches using keyword and spatial/temporal filters, and retrieve detailed study information, including file lists and variable-level data dictionaries. It simplifies access to microdata for researchers and policy analysts globally.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, httr2
URL: https://github.com/guturago/nadaverse
BugReports: https://github.com/guturago/nadaverse/issues
Suggests: httptest2, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-06 19:11:17 UTC; Gute
Author: Gutama Girja Urago [aut, cre, cph]
Maintainer: Gutama Girja Urago <girjagutama@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-11 13:50:07 UTC

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New package modernBoot with initial version 0.1.1
Package: modernBoot
Title: Modern Resampling Methods: Bootstraps, Wild, Block, Permutation, and Selection Guidance
Version: 0.1.1
Description: Implements modern resampling and permutation methods for robust statistical inference without restrictive parametric assumptions. Provides bias-corrected and accelerated (BCa) bootstrap (Efron and Tibshirani (1993) <doi:10.1201/9780429246593>), wild bootstrap for heteroscedastic regression (Liu (1988) <doi:10.1214/aos/1176351062>, Davidson and Flachaire (2008) <doi:10.1016/j.jeconom.2008.08.003>), block bootstrap for time series (Politis and Romano (1994) <doi:10.1080/01621459.1994.10476870>), and permutation-based multiple testing correction (Westfall and Young (1993) <ISBN:0-471-55761-7>). Methods handle non-normal data, heteroscedasticity, time series correlation, and multiple comparisons.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: stats, boot, future, future.apply
Suggests: testthat (>= 3.0.0), covr, pkgdown, rhub
URL: https://github.com/ikrakib/modernBoot
BugReports: https://github.com/ikrakib/modernBoot/issues
NeedsCompilation: no
Packaged: 2025-12-06 18:34:53 UTC; hello
Author: Ibrahim Kholil Rakib [aut, cre]
Maintainer: Ibrahim Kholil Rakib <ikrakib1010@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-11 13:50:13 UTC

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New package irls with initial version 1.0
Package: irls
Title: Generalised Linear Models via Iteratively Reweighted Least Squares
Version: 1.0
Author: Michail Tsagris [aut, cre], Nikolaos Kontemeniotis [aut], Christos Adam [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Description: Generalised linear models via the iteratively reweighted least squares algorithm. The functions perform logistic, Poisson and Gamma regression (ISBN:9780412317606), either for a single model or many regression models in a column-wise fashion.
License: GPL (>= 2)
Depends: R (>= 4.2)
Imports: Rcpp (>= 1.0.13)
LinkingTo: Rcpp (>= 1.0.13), RcppEigen
Suggests: Rfast, Rfast2
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-12-06 13:43:54 UTC; Administrator
Repository: CRAN
Date/Publication: 2025-12-11 13:40:07 UTC

More information about irls at CRAN
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New package impermanentlosscalc with initial version 0.1.0
Package: impermanentlosscalc
Title: Calculate Impermanent Loss in Automated Market Maker (AMM) Liquidity Pools
Version: 0.1.0
Description: Computes the key metrics for assessing the performance of a liquidity provider (LP) position in a weighted multi-asset Automated Market Maker (AMM) pool. Calculates the nominal and percentage impermanent loss (IL) by comparing the portfolio value inside the pool (based on the weighted geometric mean of price ratios) against the value of simply holding the assets outside the pool (based on the weighted arithmetic mean). The primary function, `impermanent_loss()`, incorporates the effect of earned trading fees to provide the LP's net profit and loss relative to a holding strategy, using a methodology derived from Tiruviluamala, N., Port, A., and Lewis, E. (2022) <doi:10.48550/arXiv.2203.11352>.
License: GPL-3
Encoding: UTF-8
Imports: ggplot2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-06 16:06:01 UTC; amber
Author: Amber Krause [aut, cre]
Maintainer: Amber Krause <amber32k@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-11 13:40:11 UTC

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New package hypothesize with initial version 0.10.0
Package: hypothesize
Title: A Consistent API for Hypothesis Testing
Version: 0.10.0
Description: Provides a consistent API for hypothesis testing built on principles from 'Structure and Interpretation of Computer Programs': data abstraction, closure (combining tests yields tests), and higher-order functions (transforming tests). Implements z-tests, Wald tests, likelihood ratio tests, Fisher's method for combining p-values, and multiple testing corrections. Designed for use by other packages that want to wrap their hypothesis tests in a consistent interface.
Encoding: UTF-8
Maintainer: Alexander Towell <lex@metafunctor.com>
License: MIT + file LICENSE
ByteCompile: true
Imports: stats
URL: https://github.com/queelius/hypothesize, https://queelius.github.io/hypothesize/
BugReports: https://github.com/queelius/hypothesize/issues
Suggests: testthat (>= 3.0.0), rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-05 18:08:28 UTC; spinoza
Author: Alexander Towell [aut, cre]
Repository: CRAN
Date/Publication: 2025-12-11 13:20:02 UTC

More information about hypothesize at CRAN
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New package fjoin with initial version 0.1.0
Package: fjoin
Title: Data Frame Joins Leveraging 'data.table'
Version: 0.1.0
Description: Extends 'data.table' join functionality, lets it work with any data frame class, and provides a familiar 'x'/'y'-style interface, enabling broad use across R. Offers NA-safe matching by default, on-the-fly column selection, multiple match-handling on both sides, 'x' or 'y' row order, and a row origin indicator. Performs inner, left, right, full, semi- and anti-joins with equality and inequality conditions, plus cross joins. Specific support for 'data.table', (grouped) tibble, and 'sf'/'sfc' objects and their attributes; returns a plain data frame otherwise. Avoids data-copying of inputs and outputs. Allows displaying the 'data.table' code instead of (or as well as) executing it.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.3.0)
Imports: data.table
Suggests: dplyr (>= 1.1.0), sf, testthat (>= 3.0.0), knitr, rmarkdown, quarto, bench, ggplot2
URL: https://trobx.github.io/fjoin/
BugReports: https://github.com/trobx/fjoin/issues
VignetteBuilder: knitr, quarto
NeedsCompilation: no
Packaged: 2025-12-05 22:00:23 UTC; Toby
Author: Toby Robertson [aut, cre]
Maintainer: Toby Robertson <trobx@proton.me>
Repository: CRAN
Date/Publication: 2025-12-11 13:30:08 UTC

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New package bpvars with initial version 1.0
Package: bpvars
Title: Forecasting with Bayesian Panel Vector Autoregressions
Description: Provides Bayesian estimation and forecasting of dynamic panel data using Bayesian Panel Vector Autoregressions with hierarchical prior distributions. The models include country-specific VARs that share a global prior distribution that extend the model by Jarociński (2010) <doi:10.1002/jae.1082>. Under this prior expected value, each country's system follows a global VAR with country-invariant parameters. Further flexibility is provided by the hierarchical prior structure that retains the Minnesota prior interpretation for the global VAR and features estimated prior covariance matrices, shrinkage, and persistence levels. Bayesian forecasting is developed for models including exogenous variables, allowing conditional forecasts given the future trajectories of some variables and restricted forecasts assuring that rates are forecasted to stay positive and less than 100. The package implements the model specification, estimation, and forecasting routines, facilitating coherent workflo [...truncated...]
Version: 1.0
Date: 2025-12-02
Maintainer: Tomasz Wozniak <wozniak.tom@pm.me>
License: GPL (>= 3)
Depends: R (>= 4.1.0), bsvars (>= 3.2)
Imports: R6, Rcpp (>= 1.0.12), RcppProgress, RcppTN, tmvtnsim, generics
LinkingTo: bsvars, Rcpp, RcppArmadillo, RcppProgress, RcppTN
Suggests: tinytest
URL: https://bsvars.org/bpvars/
BugReports: https://github.com/bsvars/bpvars/issues
LazyData: true
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-12-03 05:17:02 UTC; twozniak
Author: Tomasz Wozniak [aut, cre] , Miguel Sanchez-Martinez [ctb], International Labour Organization [cph]
Repository: CRAN
Date/Publication: 2025-12-11 14:00:02 UTC

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New package blockr.dock with initial version 0.1.0
Package: blockr.dock
Title: A Docking Layout Manager for 'blockr'
Version: 0.1.0
Description: Building on the docking layout manager provided by 'dockViewR', this provides a flexible front-end to 'blockr.core'. It provides an extension mechanism which allows for providing means to manipulate a board object via panel-based user interface components.
URL: https://bristolmyerssquibb.github.io/blockr.dock/
BugReports: https://github.com/BristolMyersSquibb/blockr.dock/issues
License: GPL (>= 3)
Encoding: UTF-8
Imports: blockr.core (>= 0.1.1), bsicons, shiny, shinyjs, bslib, glue, dockViewR (>= 0.2.1), htmltools, cli, shinyWidgets, jsonlite
Suggests: testthat (>= 3.0.0), DT, colorspace, methods, withr, shinytest2
NeedsCompilation: no
Packaged: 2025-12-06 14:23:01 UTC; nbennett
Author: Nicolas Bennett [aut, cre], David Granjon [aut]
Maintainer: Nicolas Bennett <nicolas@cynkra.com>
Repository: CRAN
Date/Publication: 2025-12-11 13:30:14 UTC

More information about blockr.dock at CRAN
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Wed, 10 Dec 2025

New package treesitter.c with initial version 0.0.1
Package: treesitter.c
Title: 'R' Bindings to the 'C' Grammar for Tree-Sitter
Version: 0.0.1
Description: Provides bindings to a 'C' grammar for Tree-sitter, to be used alongside the 'treesitter' package. Tree-sitter builds concrete syntax trees for source files and can efficiently update them as files are edited.
License: GPL-3
Depends: R (>= 4.3.0)
Imports: treesitter
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
URL: https://sounkou-bioinfo.github.io/treesitter.c/, https://github.com/sounkou-bioinfo/treesitter.c
BugReports: https://github.com/sounkou-bioinfo/treesitter.c/issues
NeedsCompilation: yes
Packaged: 2025-12-04 16:21:17 UTC; sounkoutoure
Author: Sounkou Mahamane Toure [aut, cre], Tree-sitter authors [cph]
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-10 21:10:02 UTC

More information about treesitter.c at CRAN
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New package spatialAtomizeR with initial version 0.2.3
Package: spatialAtomizeR
Title: Spatial Analysis with Misaligned Data Using Atom-Based Regression Models
Version: 0.2.3
Date: 2025-11-28
Description: Implements atom-based regression models (ABRM) for analyzing spatially misaligned data. Provides functions for simulating misaligned spatial data, preparing NIMBLE model inputs, running MCMC diagnostics, and comparing different spatial analysis methods including dasymetric mapping. All main functions return S3 objects with print(), summary(), and plot() methods for intuitive result exploration. Methods are described in Nethery et al. (2023) <doi:10.1101/2023.01.10.23284410>. Further methodological details and software implementation are described in Qian et al. (in review).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: sp, sf, spdep, MASS, raster, dplyr, tidyr, ggplot2, reshape2, nimble, coda, BiasedUrn, stats, utils, grDevices, methods
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/bellayqian/spatialAtomizeR
BugReports: https://github.com/bellayqian/spatialAtomizeR/issues
NeedsCompilation: no
Packaged: 2025-12-04 19:23:15 UTC; anemos
Author: Yunzhe Qian [aut, cre], Rachel Nethery [aut], Nancy Krieger [ctb] , Nykesha Johnson [ctb]
Maintainer: Yunzhe Qian <qyzanemos@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-10 21:10:07 UTC

More information about spatialAtomizeR at CRAN
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New package qbrms with initial version 1.0.1
Package: qbrms
Title: Quick Bayesian Regression Models Using 'INLA' with 'brms' Syntax
Version: 1.0.1
Date: 2025-11-26
Maintainer: Tony Myers <admyers@aol.com>
Description: Provides a 'brms'-like interface for fitting Bayesian regression models using 'INLA' (Integrated Nested Laplace Approximations) and 'TMB' (Template Model Builder). The package offers faster model fitting while maintaining familiar 'brms' syntax and output formats. Supports fixed and mixed effects models, multiple probability distributions, conditional effects plots, and posterior predictive checks with summary methods compatible with 'brms'. 'TMB' integration provides fast ordinal regression capabilities. Implements methods adapted from 'emmeans' for marginal means estimation and 'bayestestR' for Bayesian inference assessment. Methods are based on Rue et al. (2009) <doi:10.1111/j.1467-9868.2008.00700.x>, Kristensen et al. (2016) <doi:10.18637/jss.v070.i05>, Lenth (2016) <doi:10.18637/jss.v069.i01>, Bürkner (2017) <doi:10.18637/jss.v080.i01>, Makowski et al. (2019) <doi:10.21105/joss.01541>, and Kruschke (2014, ISBN:9780124058880).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.0.0)
Imports: methods, ggplot2, mvtnorm, cowplot, lme4, patchwork, posterior, scales, shiny, miniUI, future, future.apply, loo, TMB, jsonlite
Suggests: testthat (>= 3.0.0), INLA, knitr, rmarkdown, DHARMa, MASS, ordinal, rstudioapi, emmeans, bayestestR, gridExtra, data.table, tibble, quantreg, readxl, haven
LinkingTo: Rcpp, RcppEigen, TMB
URL: https://github.com/Tony-Myers/qbrms
BugReports: https://github.com/Tony-Myers/qbrms/issues
Additional_repositories: https://inla.r-inla-download.org/R/stable/
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-12-04 18:58:52 UTC; tonymyers
Author: Tony Myers [aut, cre]
Repository: CRAN
Date/Publication: 2025-12-10 21:10:13 UTC

More information about qbrms at CRAN
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New package osdc with initial version 0.9.17
Package: osdc
Title: Open Source Diabetes Classifier for Danish Registers
Version: 0.9.17
Description: The algorithm first identifies a population of individuals from Danish register data with any type of diabetes as individuals with two or more inclusion events. Then, it splits this population into individuals with either type 1 diabetes or type 2 diabetes by identifying individuals with type 1 diabetes and classifying the remainder of the diabetes population as having type 2 diabetes.
License: MIT + file LICENSE
URL: https://github.com/steno-aarhus/osdc, https://steno-aarhus.github.io/osdc/
BugReports: https://github.com/steno-aarhus/osdc/issues
Depends: R (>= 4.2.0)
Imports: checkmate, cli, codeCollection, dbplyr, dplyr, duckplyr, fabricatr, lifecycle, lubridate, purrr, rlang, rvest, stats, tidyselect, utils
Suggests: glue, knitr, quarto, rmarkdown, spelling, stringr, testthat (>= 3.0.0), tidyr, tibble
VignetteBuilder: quarto
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-12-04 21:14:55 UTC; luke
Author: Signe Kirk Broedbaek [aut] , Anders Aasted Isaksen [aut] , Luke William Johnston [aut, cre] , Steno Diabetes Center Aarhus [cph], Aarhus University [cph]
Maintainer: Luke William Johnston <lwjohnst@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-10 21:20:02 UTC

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New package mixedfact with initial version 0.1.1
Package: mixedfact
Title: Generate and Analyze Mixed-Level Blocked Factorial Designs
Version: 0.1.1
Description: Generates blocked designs for mixed-level factorial experiments for a given block size. Internally, it uses finite-field based, collapsed, and heuristic methods to construct block structures that minimize confounding between block effects and factorial effects. The package creates the full treatment combination table, partitions runs into blocks, and computes detailed confounding diagnostics for main effects and two-factor interactions. It also checks orthogonal factorial structure (OFS) and computes efficiencies of factorial effects using the methods of Nair and Rao (1948) <doi:10.1111/j.2517-6161.1948.tb00005.x>. When OFS is not satisfied but the design has equal treatment replications and equal block sizes, a general method based on the C-matrix and custom contrast vectors is used to compute efficiencies. The output includes the generated design, finite-field metadata, confounding summaries, OFS diagnostics, and efficiency results.
License: GPL-3
Encoding: UTF-8
Suggests: rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-05 04:05:13 UTC; Sukanta
Author: Archana A [aut], Sukanta Dash [aut, cre], Anil Kumar [aut], Medram Verma [aut]
Maintainer: Sukanta Dash <sukanta.iasri@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-10 21:30:02 UTC

More information about mixedfact at CRAN
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New package ivd with initial version 1.0.0
Package: ivd
Title: Individual Variance Detection
Version: 1.0.0
Maintainer: Philippe Rast <rast.ph@gmail.com>
Description: Fit mixed-effects location scale models with spike-and-slab priors on the location random effects to identify units with unusual residual variances. The method is described in detail in Carmo, Williams and Rast (2025) <https://osf.io/sh6ne>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: nimble (>= 1.1.0), coda (>= 0.19.4), ggplot2, patchwork, future, future.apply, utils, rstan, ggrepel
Suggests: testthat (>= 3.0.0)
BugReports: https://github.com/consistentlyBetter/ivd/issues
Depends: R (>= 3.0)
NeedsCompilation: no
Packaged: 2025-12-05 01:17:46 UTC; philippe
Author: Philippe Rast [aut, cre, cph] , Marwin Carmo [aut]
Repository: CRAN
Date/Publication: 2025-12-10 21:30:06 UTC

More information about ivd at CRAN
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New package HCUPtools with initial version 1.0.0
Package: HCUPtools
Title: Access and Work with HCUP Resources and Datasets
Version: 1.0.0
Depends: R (>= 4.1.0)
Description: A comprehensive R package for accessing and working with publicly available and free resources from the Agency for Healthcare Research and Quality (AHRQ) Healthcare Cost and Utilization Project (HCUP). The package provides streamlined access to HCUP's Clinical Classifications Software Refined (CCSR) mapping files and Summary Trend Tables, enabling researchers and analysts to efficiently map ICD-10-CM diagnosis codes and ICD-10-PCS procedure codes to CCSR categories and access HCUP statistical reports. Key features include: direct download from HCUP website, multiple output formats (long/wide/default), cross-classification support, version management, citation generation, and intelligent caching. The package does not redistribute HCUP data files but facilitates direct download from the official HCUP website, ensuring users always have access to the latest versions and maintain compliance with HCUP data use policies. This package only accesses free public tools and reports; it does NOT a [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/vikrant31/HCUPtools, https://vikrant31.github.io/HCUPtools/
BugReports: https://github.com/vikrant31/HCUPtools/issues
Encoding: UTF-8
Imports: httr2, readr, dplyr, tidyr, tibble, utils, stats, rlang, xml2, readxl
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, pkgdown, data.table, pdftools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-05 06:55:13 UTC; vikrant31
Author: Vikrant Dev Rathore [aut, cre]
Maintainer: Vikrant Dev Rathore <rathore.vikrant@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-10 21:40:07 UTC

More information about HCUPtools at CRAN
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New package factree with initial version 0.1.0
Package: factree
Title: Factor-Augmented Clustering Tree
Date: 2025-11-10
Version: 0.1.0
Description: Implements the Factor-Augmented Clustering Tree (FACT) algorithm for clustering time series data. The method constructs a classification tree where splits are determined by covariates, and the splitting criterion is based on a group factor model representation of the time series within each node. Both threshold-based and permutation-based tests are supported for splitting decisions, with an option for parallel computation. For methodological details, see Hu, Li, Luo, and Wang (2025, in preparation), Factor-Augmented Clustering Tree for Time Series.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: irlba, foreach, doParallel, parallel, doRNG, mvtnorm
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-05 03:53:21 UTC; hujiaqi
Author: Jiaqi Hu [cre, aut], Ting Li [ctb] , Zidan Luo [ctb] , Xueqin Wang [ctb]
Maintainer: Jiaqi Hu <hujiaqi@mail.ustc.edu.cn>
Repository: CRAN
Date/Publication: 2025-12-10 21:30:12 UTC

More information about factree at CRAN
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New package EZbakR with initial version 0.1.0
Package: EZbakR
Title: Analyze and Integrate Any Type of Nucleotide Recoding RNA-Seq Data
Version: 0.1.0
Description: A complete rewrite and reimagining of 'bakR' (see 'Vock et al.' (2025) <doi:10.1371/journal.pcbi.1013179>). Designed to support a wide array of analyses of nucleotide recoding RNA-seq (NR-seq) datasets of any type, including TimeLapse-seq/SLAM-seq/TUC-seq, Start-TimeLapse-seq (STL-seq), TT-TimeLapse-seq (TT-TL-seq), and subcellular NR-seq. 'EZbakR' extends standard NR-seq standard NR-seq mutational modeling to support multi-label analyses (e.g., 4sU and 6sG dual labeling), and implements an improved hierarchical model to better account for transcript-to-transcript variance in metabolic label incorporation. 'EZbakR' also generalized dynamical systems modeling of NR-seq data to support analyses of premature mRNA processing and flow between subcellular compartments. Finally, 'EZbakR' implements flexible and well-powered comparative analyses of all estimated parameters via design matrix-specified generalized linear modeling.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, MASS, rmarkdown, testthat (>= 3.0.0)
Imports: arrow, data.table, dplyr, ggplot2, magrittr, methods, purrr, rlang, tidyr, tximport
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
URL: https://isaacvock.github.io/EZbakR/, https://github.com/isaacvock/EZbakR
BugReports: https://github.com/isaacvock/EZbakR/issues
NeedsCompilation: no
Packaged: 2025-12-04 22:09:30 UTC; isaac
Author: Isaac Vock [aut, cre, cph]
Maintainer: Isaac Vock <isaac.vock@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-10 21:20:08 UTC

More information about EZbakR at CRAN
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New package timefully with initial version 0.1.0
Package: timefully
Title: Time-Series Management Made Easy
Version: 0.1.0
Description: Manage time-series data frames across time zones, resolutions, and date ranges, while filling gaps using weekday/hour patterns or simple fill helpers or plotting them interactively. It is designed to work seamlessly with the tidyverse and dygraphs environments.
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0), rmarkdown
Depends: R (>= 4.1.0)
Imports: dplyr, lubridate, rlang, purrr, dygraphs
URL: https://github.com/resourcefully-dev/timefully/, https://resourcefully-dev.github.io/timefully/
BugReports: https://github.com/resourcefully-dev/timefully/issues
Language: en-US
NeedsCompilation: no
Packaged: 2025-12-04 09:24:54 UTC; marc
Author: Marc Canigueral [aut, cre]
Maintainer: Marc Canigueral <marccanyigueral@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-10 20:40:02 UTC

More information about timefully at CRAN
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New package projectLSA with initial version 0.0.3
Package: projectLSA
Title: Latent Structure Analysis Toolkit
Version: 0.0.3
Description: Provides an interactive Shiny-based toolkit for conducting latent structure analyses, including Latent Profile Analysis (LPA), Latent Class Analysis (LCA), Latent Trait Analysis (LTA/IRT), Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). The implementation is grounded in established methodological frameworks: LPA is supported through 'tidyLPA' (Rosenberg et al., 2018) <doi:10.21105/joss.00978>, LCA through 'poLCA' (Linzer & Lewis, 2011), LTA/IRT via 'mirt' (Chalmers, 2012) <doi:10.18637/jss.v048.i06>, and EFA via 'psych' (Revelle, 2025). SEM and CFA functionalities build upon the 'lavaan' framework (Rosseel, 2012) <doi:10.18637/jss.v048.i02>. Users can upload datasets or use built-in examples, fit models, compare fit indices, visualize results, and export outputs without programming.
License: MIT + file LICENSE
Depends: R (>= 4.0.0)
Encoding: UTF-8
Imports: colourpicker, dplyr, DT, ggiraph, ggplot2, lavaan, mirt, plotly, poLCA, psych, purrr, readr, readxl, rlang, semPlot, semptools, semTools, shiny, shinyWidgets, stringr, tibble, tidyr, tidyLPA, viridisLite
Suggests: knitr, pkgdown, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/hasandjidu/projectLSA
BugReports: https://github.com/hasandjidu/projectLSA/issues
NeedsCompilation: no
Packaged: 2025-12-04 12:08:53 UTC; hasandjidu
Author: Hasan Djidu [aut, cre] , Heri Retnawati [ctb] , Samsul Hadi [ctb] , Haryanto [ctb]
Maintainer: Hasan Djidu <hasandjidu@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-10 20:50:02 UTC

More information about projectLSA at CRAN
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New package httkexamples with initial version 0.0.1
Package: httkexamples
Version: 0.0.1
Date: 2025-12-03
Title: High-Throughput Toxicokinetics Examples
Description: High throughput toxicokinetics ("HTTK") is the combination of 1) chemical-specific in vitro measurements or in silico predictions and 2) generic mathematical models, to predict absorption, distribution, metabolism, and excretion by the body. HTTK methods have been described by Pearce et al. (2017) (<doi:10.18637/jss.v079.i04>) and Breen et al. (2021) (<doi:10.1080/17425255.2021.1935867>). Here we provide examples (vignettes) applying HTTK to solve various problems in bioinformatics, toxicology, and exposure science. In accordance with Davidson-Fritz et al. (2025) (<doi:10.1371/journal.pone.0321321>), whenever a new HTTK model is developed, the code to generate the figures evaluating that model is added as a new vignettte.
Depends: R (>= 2.10)
Imports: httk, rmarkdown, knitr, Rdpack
Suggests: dplyr, tidyverse, xlsx, Metrics, ggplot2, ggforce, ggpubr, ggrepel, viridis, ggpubr, grid, ggh4x, readr, ggforce, tidyr, stringr, pracma, cgwtools, openxlsx, ggstar, latex2exp, smatr, reshape, gdata,censReg,gmodels,gplots,scales,colorspace,gridExtra, rvcheck
License: MIT + file LICENSE
LazyData: true
LazyDataCompression: xz
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://chemicalinsights.ul.org/
NeedsCompilation: no
Packaged: 2025-12-04 00:56:11 UTC; WambaughJohn
Author: John Wambaugh [aut, cre] , Robert Pearce [aut] , Caroline Ring [aut] , Greg Honda [aut] , Matt Linakis [aut] , Dustin Kapraun [aut] , Kimberly Truong [aut] , Meredith Scherer [aut] , Annabel Meade [aut] , Celia Schacht [aut] , Elaina Kenyon [ctb]
Maintainer: John Wambaugh <john.wambaugh@UL.org>
Repository: CRAN
Date/Publication: 2025-12-10 21:00:02 UTC

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Tue, 09 Dec 2025

New package SSLfmm with initial version 0.1.0
Package: SSLfmm
Title: Semi-Supervised Learning under a Mixed-Missingness Mechanism in Finite Mixture Models
Version: 0.1.0
Maintainer: Jinran Wu <jinran.wu@uq.edu.au>
Description: Implements a semi-supervised learning framework for finite mixture models under a mixed-missingness mechanism. The approach models both missing completely at random (MCAR) and entropy-based missing at random (MAR) processes using a logistic–entropy formulation. Estimation is carried out via an Expectation–-Conditional Maximisation (ECM) algorithm with robust initialisation routines for stable convergence. The methodology relates to the statistical perspective and informative missingness behaviour discussed in Ahfock and McLachlan (2020) <doi:10.1007/s11222-020-09971-5> and Ahfock and McLachlan (2023) <doi:10.1016/j.ecosta.2022.03.007>. The package provides functions for data simulation, model estimation, prediction, and theoretical Bayes error evaluation for analysing partially labelled data under a mixed-missingness mechanism.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: stats, mvtnorm, matrixStats
NeedsCompilation: no
Packaged: 2025-12-04 00:22:06 UTC; uqjwu15
Author: Jinran Wu [aut, cre] , Geoffrey J. McLachlan [aut]
Repository: CRAN
Date/Publication: 2025-12-09 16:30:28 UTC

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New package AdaptiveBoxplot with initial version 0.1.1
Package: AdaptiveBoxplot
Title: FDR(BH) Boxplot and FWER(Holm) Boxplot
Version: 0.1.1
Description: Implements a framework for creating boxplots where the whisker lengths are determined by formal multiple testing procedures, making them adaptive to sample size and data characteristics. The function bh_boxplot() generates boxplots that control the False Discovery Rate (FDR) via the Benjamini-Hochberg procedure, and the function holm_boxplot() generates boxplots that control the Family-Wise Error Rate (FWER) via the Holm procedure. The methods are based on the framework in Gang, Lin, and Tong (2025) <doi:10.48550/arXiv.2510.20259>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2025-12-04 01:13:52 UTC; bowengang
Author: Bowen Gang [aut, cre], Hongmei Lin [aut], Tiejun Tong [aut]
Maintainer: Bowen Gang <gangbowen02@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-09 16:30:34 UTC

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New package VCBART with initial version 1.2.4
Package: VCBART
Title: Fit Varying Coefficient Models with Bayesian Additive Regression Trees
Version: 1.2.4
Date: 2025-12-03
Description: Fits linear varying coefficient (VC) models, which assert a linear relationship between an outcome and several covariates but allow that relationship (i.e., the coefficients or slopes in the linear regression) to change as functions of additional variables known as effect modifiers, by approximating the coefficient functions with Bayesian Additive Regression Trees. Implements a Metropolis-within-Gibbs sampler to simulate draws from the posterior over coefficient function evaluations. VC models with independent observations or repeated observations can be fit. For more details see Deshpande et al. (2024) <doi:10.1214/24-BA1470>.
License: GPL (>= 3)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, MASS
URL: https://github.com/skdeshpande91/VCBART
NeedsCompilation: yes
Packaged: 2025-12-03 14:19:58 UTC; sameer
Author: Sameer K. Deshpande [aut, cre] , Ray Bai [aut] , Cecilia Balocchi [aut] , Jennifer Starling [aut], Jordan Weiss [aut]
Maintainer: Sameer K. Deshpande <sameer.deshpande@wisc.edu>
Repository: CRAN
Date/Publication: 2025-12-09 16:00:02 UTC

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New package MethScope with initial version 1.0.0
Package: MethScope
Title: Ultra-Fast Analysis of Sparse DNA Methylome via Recurrent Pattern Encoding
Version: 1.0.0
Description: Methods for analyzing DNA methylation data via Most Recurrent Methylation Patterns (MRMPs). Supports cell-type annotation, spatial deconvolution, unsupervised clustering, and cancer cell-of-origin inference. Includes C-backed summaries for YAME “.cg/.cm” files (overlap counts, log2 odds ratios, beta/depth aggregation), an XGBoost classifier, NNLS deconvolution, and plotting utilities. Scales to large spatial and single-cell methylomes and is robust to extreme sparsity.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: xgboost, dplyr, utils, tidyr, stringr, caret, doParallel, parallel, ggplot2, uwot, magrittr, FNN, data.table, nnls
Suggests: knitr, rmarkdown, spelling
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2025-12-03 17:38:44 UTC; fuh1
Maintainer: Hongxiang Fu <fhx@seas.upenn.edu>
Language: en-US
Author: Hongxiang Fu [aut, cre] , Wanding Zhou [cph, fnd], The SAMtools/HTSlib authors [ctb, cph] , Attractive Chaos [ctb, cph] )
Repository: CRAN
Date/Publication: 2025-12-09 16:00:07 UTC

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New package valueprhr with initial version 0.1.0
Package: valueprhr
Title: Value-Price Analysis with Bayesian and Panel Data Methods
Version: 0.1.0
Description: Provides tools for analyzing the relationship between direct prices (based on labor values) and prices of production using Bayesian generalized linear models, panel data methods, partial least squares regression, canonical correlation analysis, and panel vector autoregression. Includes functions for model comparison, out-of-sample validation, and structural break detection. Here, methods use raw accounting data with explicit temporal structure, following Gomez Julian (2023) <doi:10.17605/OSF.IO/7J8KF> and standard econometric techniques for panel data analysis.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, utils, Metrics
Suggests: rstanarm, loo, plm, lme4, pls, vars, panelvar, strucchange, lmtest, sandwich, dplyr, tidyr, tibble, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/isadorenabi/valueprhr
BugReports: https://github.com/isadorenabi/valueprhr/issues
NeedsCompilation: no
Packaged: 2025-12-02 21:29:21 UTC; ROG
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>
Repository: CRAN
Date/Publication: 2025-12-09 08:10:02 UTC

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New package SHARK4R with initial version 1.0.1
Package: SHARK4R
Title: Accessing and Validating Marine Environmental Data from 'SHARK' and Related Databases
Version: 1.0.1
Description: Provides functions to retrieve, process, analyze, and quality-control marine physical, chemical, and biological data. The main focus is on Swedish monitoring data available through the 'SHARK' database <https://shark.smhi.se/en/>, with additional API support for 'Nordic Microalgae' <https://nordicmicroalgae.org/>, 'Dyntaxa' <https://artfakta.se/>, World Register of Marine Species ('WoRMS') <https://www.marinespecies.org>, 'AlgaeBase' <https://www.algaebase.org>, OBIS 'xylookup' web service <https://iobis.github.io/xylookup/> and Intergovernmental Oceanographic Commission (IOC) - UNESCO databases on harmful algae <https://www.marinespecies.org/hab/> and toxins <https://toxins.hais.ioc-unesco.org/>.
License: MIT + file LICENSE
URL: https://sharksmhi.github.io/SHARK4R/, https://github.com/sharksmhi/SHARK4R
BugReports: https://github.com/sharksmhi/SHARK4R/issues
Depends: R (>= 4.1.0)
Imports: dplyr, DT, ggplot2, httr, jsonlite, leaflet, lifecycle, purrr, readr, readxl, rlang, sf, sp, stringi, terra, tidyr, vroom, worrms
Suggests: htmltools, iRfcb, knitr, plotly, RColorBrewer, rmarkdown, skimr, spelling, shiny, shinythemes, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-12-02 22:56:45 UTC; anders
Author: Markus Lindh [aut] , Anders Torstensson [aut, cre] , Mikael Hedblom [ctb] , Bengt Karlson [ctb] , SHARK [cph], SBDI [fnd]
Maintainer: Anders Torstensson <anders.torstensson@smhi.se>
Repository: CRAN
Date/Publication: 2025-12-09 08:50:07 UTC

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New package msPCA with initial version 0.1.0
Package: msPCA
Title: Sparse Principal Component Analysis with Multiple Principal Components
Version: 0.1.0
Date: 2025-12-02
Description: Implements an algorithm for computing multiple sparse principal components of a dataset. The method is based on Cory-Wright and Pauphilet "Sparse PCA with Multiple Principal Components" (2022) <doi:10.48550/arXiv.2209.14790>. The algorithm uses an iterative deflation heuristic with a truncated power method applied at each iteration to compute sparse principal components with controlled sparsity.
License: MIT + file LICENSE
Imports: Rcpp (>= 1.0.11)
LinkingTo: Rcpp, RcppEigen
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-12-02 21:29:55 UTC; jeanpauphilet
Author: Ryan Cory-Wright [aut, cph] , Jean Pauphilet [aut, cre, cph]
Maintainer: Jean Pauphilet <jpauphilet@london.edu>
Repository: CRAN
Date/Publication: 2025-12-09 08:50:02 UTC

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New package SIP with initial version 0.1.0
Package: SIP
Title: Single-Iteration Permutation for Large-Scale Biobank Data
Version: 0.1.0
Description: A single, phenome-wide permutation of large-scale biobank data. When a large number of phenotypes are analyzed in parallel, a single permutation across all phenotypes followed by genetic association analyses of the permuted data enables estimation of false discovery rates (FDRs) across the phenome. These FDR estimates provide a significance criterion for interpreting genetic associations in a biobank context. For the basic permutation of unrelated samples, this package takes a sample-by-variable file with ID, genotypic covariates, phenotypic covariates, and phenotypes as input. For data with related samples, it also takes a file with sample pair-wise identity-by-descent information. The function outputs a permuted sample-by-variable file ready for genome-wide association analysis. See Annis et al. (2021) <doi:10.21203/rs.3.rs-873449/v1> for details.
URL: https://github.com/acannis/SIP
BugReports: https://github.com/acannis/SIP/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: stats, data.table, ggplot2
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-02 14:26:37 UTC; mk
Author: Aubrey Annis [aut, cre]
Maintainer: Aubrey Annis <acannis@umich.edu>
Repository: CRAN
Date/Publication: 2025-12-09 08:00:02 UTC

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New package resizableSplitLayout with initial version 0.1.1
Package: resizableSplitLayout
Title: Resizable Split Layout Module for 'shiny'
Version: 0.1.1
Description: A 'shiny' module to facilitate page layouts with resizable panes for page content based on 'split.js' 'JavaScript' library (<https://split.js.org>).
License: GPL (>= 3)
Imports: shiny, shinyjs
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-12-02 12:01:27 UTC; mschaff
Author: Michael Schaffer [aut, cre]
Maintainer: Michael Schaffer <mschaff@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-09 07:50:02 UTC

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New package RealSurvSim with initial version 1.0.0
Package: RealSurvSim
Title: Simulate Survival Data
Version: 1.0.0
Date: 2025-11-05
Description: Provides tools for simulating synthetic survival data using a variety of methods, including kernel density estimation, parametric distribution fitting, and bootstrap resampling techniques for a desired sample size.
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: fitdistrplus, kdensity, survival, univariateML, actuar, flexsurv, stats, FAdist
Depends: R (>= 3.5)
LazyData: true
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2025-12-02 10:42:34 UTC; thurow
Author: Maria Thurow [aut, cre] , Manasi Butee [aut], Ina Dormuth [ctb], Christina Sauer [ctb], Marc Ditzhaus [ctb], Markus Pauly [ctb]
Maintainer: Maria Thurow <maria.thurow@tu-dortmund.de>
Repository: CRAN
Date/Publication: 2025-12-09 07:50:18 UTC

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New package PSsurvival with initial version 0.1.0
Package: PSsurvival
Title: Propensity Score Methods for Survival Analysis
Version: 0.1.0
Description: Implements propensity score weighting methods for estimating counterfactual survival functions and marginal hazard ratios in observational studies with time-to-event outcomes. Supports binary and multiple treatment groups with average treatment effect on the combined full population (ATE), average treatment effect on the treated or target group (ATT), and overlap weighting estimands. Includes symmetric (Crump) and asymmetric (Sturmer) trimming options for extreme propensity scores. Variance estimation via analytical M-estimation or bootstrap. Methods based on Cheng et al. (2022) <doi:10.1093/aje/kwac043> and Li & Li (2019) <doi:10.1214/19-AOAS1282>.
License: GPL (>= 2)
URL: https://github.com/cxinyang/PSsurvival
BugReports: https://github.com/cxinyang/PSsurvival/issues
Depends: R (>= 3.5.0)
Imports: survival, stats, utils
Suggests: nnet, ggplot2, parallel, testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-02 10:59:23 UTC; chengxinyang
Author: Chengxin Yang [aut, cre], Chao Cheng [aut], Fan Li [aut], Fan Li [aut]
Maintainer: Chengxin Yang <chengxin.yang@duke.edu>
Repository: CRAN
Date/Publication: 2025-12-09 07:40:18 UTC

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New package gvcAnalyzer with initial version 0.1.1
Package: gvcAnalyzer
Title: Global Value Chain Decomposition for Value-Added Trade
Version: 0.1.1
Description: Provides tools for decomposing Global Value Chain (GVC) participation and value-added trade. It implements the frameworks proposed by Borin and Mancini (2023) 10.1080/09535314.2022.2153221> for source-based and sink-based decompositions, and by Borin, Mancini, and Taglioni (2025) 10.1093/wber/lhaf017> for tripartite and output-based GVC measures.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: Matrix, methods, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-02 09:36:15 UTC; ballavbabu
Author: Lila Ballav Bhusal [aut, cre] , Alessandro Borin [ctb] ; Borin, Mancini and Taglioni ), Michele Mancini [ctb] ; Borin, Mancini and Taglioni ), Daria Taglioni [ctb] )
Maintainer: Lila Ballav Bhusal <krish.bhula@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-09 07:40:01 UTC

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New package decompositionLE with initial version 1.0.0
Package: decompositionLE
Title: Provides Easy Methods to Perform Life Expectancy Decomposition
Version: 1.0.0
Description: Provides an easy to use implementation of life expectancy decomposition formulas for age bands, derived from Ponnapalli, K. (2005). A comparison of different methods for decomposition of changes in expectation of life at birth and differentials in life expectancy at birth. Demographic Research, 12, pp.141–172. <doi:10.4054/demres.2005.12.7> In addition, there is a decomposition function for disease cause breakdown and a couple helpful plot functions.
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Imports: dplyr, magrittr, stringr, tidyr, purrr, ggplot2, rlang
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0), tibble, forcats
URL: https://github.com/herts-phei/decompositionLE
BugReports: https://github.com/herts-phei/decompositionLE/issues
NeedsCompilation: no
Packaged: 2025-12-02 11:07:31 UTC; vyu
Author: Victor Yu [aut, cre, cph], Will Yuill [ctb] , Emily Dickson [ctb]
Maintainer: Victor Yu <victor.yu@hertfordshire.gov.uk>
Repository: CRAN
Date/Publication: 2025-12-09 07:40:06 UTC

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New package crownsegmentr with initial version 1.0.1
Package: crownsegmentr
Title: Tree Crown Segmentation in Airborne LiDAR Point Clouds
Version: 1.0.1
Maintainer: Timon Miesner <timon.miesner@thuenen.de>
Description: Provides a function that performs the adaptive mean shift algorithm for individual tree crown delineation in 3D point clouds as proposed by Ferraz et al. (2016) <doi:10.1016/j.rse.2016.05.028>, as well as supporting functions.
License: GPL-3
URL: https://github.com/Lenostatos/crownsegmentr
Depends: R (>= 4.0.0)
Imports: assertthat, data.table, dbscan, lidR (>= 4.0.0), methods, Rcpp (>= 1.0.0), sf, terra
Suggests: EBImage, future, testthat (>= 3.0.0), raster
LinkingTo: BH (>= 1.75.0-0), progress, Rcpp (>= 1.0.0)
Contact: timon.miesner@thuenen.de, Leon.Steinmeier@posteo.net, nikolai.knapp@thuenen.de
Encoding: UTF-8
SystemRequirements: C++17, GNU make
NeedsCompilation: yes
Packaged: 2025-12-02 11:58:22 UTC; miesner
Author: Leon Steinmeier [aut] , Timon Miesner [cre, aut] , Nikolai Knapp [aut]
Repository: CRAN
Date/Publication: 2025-12-09 07:50:13 UTC

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New package aNCA with initial version 0.1.0
Package: aNCA
Title: (Pre-)Clinical NCA in a Dynamic Shiny App
Version: 0.1.0
Description: An interactive 'shiny' application for performing non-compartmental analysis (NCA) on pre-clinical and clinical pharmacokinetic data. The package builds on 'PKNCA' for core estimators and provides interactive visualizations, CDISC outputs ('ADNCA', 'PP', 'ADPP') and configurable TLGs (tables, listings, and graphs). Typical use cases include exploratory analysis, validation, reporting or teaching/demonstration of NCA methods. Methods and core estimators are described in Denney, Duvvuri, and Buckeridge (2015) "Simple, Automatic Noncompartmental Analysis: The PKNCA R Package" <doi:10.1007/s10928-015-9432-2>.
License: Apache License (>= 2)
Imports: dplyr, formatters, flextable, ggplot2, magrittr, methods, officer, PKNCA (>= 0.12.1), plotly, purrr, rlang, rlistings, scales, stats, stringr, tern, tidyr, units, utils
Encoding: UTF-8
Suggests: arrow, covr, DT, ggh4x, glue, haven, htmltools, htmlwidgets, jsonlite, knitr, lintr (>= 3.1.2), logger, markdown, mockery, nestcolor, openxlsx2, pak, reactable, reactable.extras, rmarkdown, sass, shiny, shinycssloaders, shinyjs, shinyjqui, shinytest2, shinyWidgets, stringi, testthat (>= 3.0.0), tools, quarto, vdiffr, withr, yaml
VignetteBuilder: knitr
Language: en-US
URL: https://pharmaverse.github.io/aNCA/, https://github.com/pharmaverse/aNCA
BugReports: https://github.com/pharmaverse/aNCA/issues
Depends: R (>= 4.1)
LazyData: true
NeedsCompilation: no
Packaged: 2025-12-02 08:59:24 UTC; gerardo
Author: Ercan Suekuer [aut] , Gerardo Jose Rodriguez [aut] , Pascal Baertschi [aut] , Jana Spinner [aut] , Mateusz Kolomanski [aut] , Lucy Aspridis [aut] , Valentin Legras [aut, cre], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Valentin Legras <anca.pharmaverse@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-09 07:40:12 UTC

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Mon, 08 Dec 2025

New package rdcor with initial version 1.0
Package: rdcor
Title: Rank Distance Correlation Coefficient
Version: 1.0
Date: 2025-12-01
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: dcov, Rfast, Rfast2
Description: The rank distance correlation <doi:10.1080/01621459.2020.1782223> is computed. Included also is a function to perform permutation based testing.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-12-01 19:11:54 UTC; mtsag
Repository: CRAN
Date/Publication: 2025-12-08 08:20:02 UTC

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New package micvar with initial version 0.1.0
Package: micvar
Title: Order Selection in Vector Autoregression by Mean Square Information Criteria
Version: 0.1.0
Description: Implements order selection for Vector Autoregressive (VAR) models using the Mean Square Information Criterion (MIC). Unlike standard methods such as AIC and BIC, MIC is likelihood-free. This method consistently estimates VAR order and has robust performance under model misspecification. For more details, see Hellstern and Shojaie (2025) <doi:10.48550/arXiv.2511.19761>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: MASS, matrixcalc, Rdpack, stats
NeedsCompilation: no
Packaged: 2025-12-01 18:08:18 UTC; mike
Author: Michael Hellstern [aut, cre]
Maintainer: Michael Hellstern <mikeh1@uw.edu>
Repository: CRAN
Date/Publication: 2025-12-08 08:10:10 UTC

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New package MAIVE with initial version 0.1.10
Package: MAIVE
Title: Meta Analysis Instrumental Variable Estimator
Encoding: UTF-8
Version: 0.1.10
URL: https://meta-analysis.cz/maive/, https://github.com/meta-analysis-es/maive
BugReports: https://github.com/meta-analysis-es/maive/issues
Description: Meta-analysis traditionally assigns more weight to studies with lower standard errors, assuming higher precision. However, in observational research, precision must be estimated and is vulnerable to manipulation, such as p-hacking, to achieve statistical significance. This can lead to spurious precision, invalidating inverse-variance weighting and bias-correction methods like funnel plots. Common methods for addressing publication bias, including selection models, often fail or exacerbate the problem. This package introduces an instrumental variable approach to limit bias caused by spurious precision in meta-analysis. Methods are described in 'Irsova et al.' (2025) <doi:10.1038/s41467-025-63261-0>.
License: MIT + file LICENSE
Depends: R (>= 4.0.0)
Imports: stats, clubSandwich
Suggests: testthat, knitr, rmarkdown, varhandle
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-02 02:33:36 UTC; runner
Author: Zuzana Irsova [aut] , Pedro R. D. Bom [aut] , Tomas Havranek [aut] , Heiko Rachinger [aut] , Petr Cala [aut, cre]
Maintainer: Petr Cala <cala.p@seznam.cz>
Repository: CRAN
Date/Publication: 2025-12-08 08:40:02 UTC

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New package famish with initial version 0.2.0
Package: famish
Title: Flexibly Tune Families of Probability Distributions
Version: 0.2.0
Description: Fits probability distributions to data and plugs into the 'probaverse' suite of R packages so distribution objects are ready for further manipulation and evaluation. Supports methods such as maximum likelihood and L-moments, and provides diagnostics including empirical ranking and quantile score.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: checkmate, distionary, fitdistrplus, ismev, lmom, rlang, stats, vctrs
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://famish.probaverse.com/, https://github.com/probaverse/famish/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-01 18:44:33 UTC; vcoia
Author: Vincenzo Coia [aut, cre, cph]
Maintainer: Vincenzo Coia <vincenzo.coia@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-08 08:20:11 UTC

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New package distplyr with initial version 0.2.0
Package: distplyr
Title: Manipulate and Combine Probability Distributions
Version: 0.2.0
Description: Go beyond standard probability distributions such as the Normal or Exponential by combining, shifting, maximizing, and otherwise transforming distributions with simple, verb-based functions. Provides easy access to a broader space of distributions more representative of real-world systems such as river flows or insurance claims. Part of the probaverse framework of packages to support advanced statistical modeling and simulations with an intuitive workflow.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: ellipsis, rlang, vctrs, stats, checkmate, distionary
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://distplyr.probaverse.com/, https://github.com/probaverse/distplyr
NeedsCompilation: no
Packaged: 2025-12-01 18:44:10 UTC; vcoia
Author: Vincenzo Coia [aut, cre, cph], Amogh Joshi [ctb], Shuyi Tan [ctb], Zhipeng Zhu [ctb]
Maintainer: Vincenzo Coia <vincenzo.coia@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-08 08:20:17 UTC

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New package charisma with initial version 1.0.0
Package: charisma
Title: Reproducible Color Characterization of Digital Images for Biological Studies
Version: 1.0.0
Description: Provides a standardized and reproducible framework for characterizing and classifying discrete color classes from digital images of biological organisms. The package automatically determines the presence or absence of 10 human-visible color categories (black, blue, brown, green, grey, orange, purple, red, white, yellow) using a biologically-inspired Color Look-Up Table (CLUT) that partitions HSV color space. Supports both fully automated and semi-automated (interactive) workflows with complete provenance tracking for reproducibility. Pre-processes images using the 'recolorize' package (Weller et al. 2024 <doi:10.1111/ele.14378>) for spatial-color binning, and integrates with 'pavo' (Maia et al. 2019 <doi:10.1111/2041-210X.13174>) for color pattern geometry statistics. Designed for high-throughput analysis and seamless integration with downstream evolutionary analyses.
License: MIT + file LICENSE
URL: https://github.com/shawntz/charisma, https://shawnschwartz.com/charisma/
BugReports: https://github.com/shawntz/charisma/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: magrittr, plyr, dplyr, tibble, purrr, tidyr, parallel, recolorize, imager, abind, jpeg, png, grDevices, graphics, stats, tools, utils
Suggests: pavo, testthat (>= 3.0.0), knitr, rmarkdown, pkgdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-01 18:21:00 UTC; shawn.schwartz
Author: Shawn Schwartz [aut, cre, cph] , Whitney Tsai [aut] , Elizabeth Karan [aut] , Mark Juhn [aut], Allison Shultz [aut] , John McCormack [aut] , Thomas Smith [aut] , Michael Alfaro [aut]
Maintainer: Shawn Schwartz <shawn.t.schwartz@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-08 08:20:22 UTC

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Sat, 06 Dec 2025

New package moodlequiz with initial version 0.2.0
Package: moodlequiz
Title: R Markdown format for 'Moodle' XML cloze quizzes
Version: 0.2.0
Description: Enables the creation of 'Moodle' quiz questions using literate programming with R Markdown. This makes it easy to quickly create a quiz that can be randomly replicated with new datasets, questions, and options for answers.
License: MIT + file LICENSE
Encoding: UTF-8
Language: es
Imports: rlang, rmarkdown, bookdown, xfun, yaml
URL: https://github.com/numbats/moodlequiz, https://numbats.github.io/moodlequiz/
BugReports: https://github.com/numbats/moodlequiz/issues
Suggests: knitr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-01 13:58:59 UTC; mitchell
Author: Mitchell O'Hara-Wild [aut, cre] , Emi Tanaka [aut]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>
Repository: CRAN
Date/Publication: 2025-12-06 12:10:07 UTC

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New package lvimp with initial version 1.0.0
Package: lvimp
Title: Perform Inference on Summaries of Longitudinal Algorithm-Agnostic Variable Importance
Version: 1.0.0
Description: Calculate point estimates of and valid confidence intervals for longitudinal summaries of nonparametric, algorithm-agnostic variable importance measures. For more details, see Williamson et al. (2024) <doi:10.48550/arXiv.2311.01638>.
License: MIT + file LICENSE
Imports: vimp
Suggests: knitr, rmarkdown, testthat, SuperLearner
URL: https://bdwilliamson.github.io/lvimp/
BugReports: https://github.com/bdwilliamson/lvimp/issues
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-12-01 17:05:16 UTC; L107067
Author: Brian D. Williamson [aut, cre]
Maintainer: Brian D. Williamson <brian.d.williamson@kp.org>
Repository: CRAN
Date/Publication: 2025-12-06 12:20:02 UTC

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New package zarr with initial version 0.1.1
Package: zarr
Title: Native and Extensible R Driver for 'Zarr'
Version: 0.1.1
Description: The 'Zarr' specification is widely used to build libraries for the storage and retrieval of n-dimensional array data from data stores ranging from local file systems to the cloud. This package is a native 'Zarr' implementation in R with support for all required features of 'Zarr' version 3. It is designed to be extensible such that new stores, codecs and extensions can be added easily.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: jsonlite, methods, R6
Suggests: bit64, blosc, digest, testthat (>= 3.0.0), zlib
URL: https://github.com/R-CF/zarr
BugReports: https://github.com/R-CF/zarr/issues
NeedsCompilation: no
Packaged: 2025-12-01 09:36:19 UTC; patrickvanlaake
Author: Patrick Van Laake [aut, cre, cph]
Maintainer: Patrick Van Laake <patrick@vanlaake.net>
Repository: CRAN
Date/Publication: 2025-12-06 11:50:02 UTC

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Fri, 05 Dec 2025

New package pater with initial version 1.0.0
Package: pater
Title: Turn a URL Pathname into a Regular Expression
Version: 1.0.0
Description: R's implementation of the JavaScript library 'path-to-regexp', it aims to provide R web frameworks features such as parameter handling among other URL path utilities.
License: MIT + file LICENSE
URL: https://github.com/JulioCollazos64/pater
BugReports: https://github.com/JulioCollazos64/pater/issues
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), stringr
Imports: utils
NeedsCompilation: no
Packaged: 2025-12-01 06:47:45 UTC; julio
Author: Julio Collazos [aut, cre], path-to-regexp contributors [cph]
Maintainer: Julio Collazos <amarullazo626@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-05 20:20:02 UTC

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New package Ditwah with initial version 1.0.0
Package: Ditwah
Title: Ditwah Storm Data and Tools for Storm Monitoring and Early Warning November 2025, Sri Lanka
Version: 1.0.0
Description: The Ditwah storm began impacting Sri Lanka on 25 November 2025. Ditwah provides a collection of tidy, well-structured datasets to support storm data management, monitoring, and early warning applications in Sri Lanka. The publicly available data were converted to tidy data format for easy analysis. The package processes weather data, flood data and situation report data (families affected, etc.). The package also includes functions for analyzing river level progression and load dashboard visualizations to enhance situational awareness. This is also developed for educational purposes to support learning in data wrangling, visualization, and disaster analytics.
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, tibble
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2025-12-01 02:37:05 UTC; DELL
Author: Thiyanga S. Talagala [aut, cre]
Maintainer: Thiyanga S. Talagala <ttalagala@sjp.ac.lk>
Repository: CRAN
Date/Publication: 2025-12-05 20:00:02 UTC

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Thu, 04 Dec 2025

New package dauR with initial version 1.0
Package: dauR
Version: 1.0
Title: Datasets for "Sampling and Data Analysis Using R: Theory and Practice"
Maintainer: Professor Dr. Mohammad Shahidul Islam <shahed.stat@gmail.com>
Description: Provides several datasets used throughout the book "Sampling and Data Analysis Using R: Theory and Practice" by Islam (2025, ISBN:978-984-35-8644-5). The datasets support teaching and learning of statistical concepts such as sampling methods, descriptive analysis, estimation and basic data handling. These curated data objects allow instructors, students and researchers to reproduce examples, practice data manipulation and perform hands-on analysis using R.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-11-30 14:47:35 UTC; shahe
Author: Professor Dr. Mohammad Shahidul Islam [aut, cre]
Repository: CRAN
Date/Publication: 2025-12-04 15:10:08 UTC

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New package cifmodeling with initial version 0.9.4
Package: cifmodeling
Title: Visualization and Polytomous Modeling of Survival and Competing Risks
Version: 0.9.4
Description: A publication-ready toolkit for modern survival and competing risks analysis with a minimal, formula-based interface. Both nonparametric estimation and direct polytomous regression of cumulative incidence functions (CIFs) are supported. The main functions 'cifcurve()', 'cifplot()', and 'cifpanel()' estimate survival and CIF curves and produce high-quality graphics with risk tables, censoring and competing-event marks, and multi-panel or inset layouts built on 'ggplot2' and 'ggsurvfit'. The modeling function 'polyreg()' performs direct polytomous regression for coherent joint modeling of all cause-specific CIFs to estimate risk ratios, odds ratios, or subdistribution hazard ratios at user-specified time points. All core functions adopt a formula-and-data syntax and return tidy and extensible outputs that integrate smoothly with 'modelsummary', 'broom', and the broader 'tidyverse' ecosystem. Key numerical routines are implemented in C++ via 'Rcpp'.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: survival, mets, modelsummary, gtsummary, knitr, rmarkdown, testthat (>= 3.0.0), pkgdown
LinkingTo: Rcpp
Imports: Rcpp, nleqslv, boot, ggsurvfit, ggplot2, patchwork, scales, generics, lifecycle
VignetteBuilder: knitr
URL: https://gestimation.github.io/cifmodeling/, https://github.com/gestimation/cifmodeling
BugReports: https://github.com/gestimation/cifmodeling/issues
NeedsCompilation: yes
Packaged: 2025-11-30 12:04:32 UTC; Shiro
Author: Shiro Tanaka [aut, cre, cph] , Shigetaka Kobari [ctb], Chisato Honda [ctb]
Maintainer: Shiro Tanaka <gestimation@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-04 15:10:13 UTC

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New package TFORGE with initial version 0.1.14
Package: TFORGE
Title: Tests for Geophysical Eigenvalues
Version: 0.1.14
Description: The eigenvalues of observed symmetric matrices are often of intense scientific interest. This package offers single sample tests for the eigenvalues of the population mean or the eigenvalue-multiplicity of the population mean. For k-samples, this package offers tests for equal eigenvalues between samples. Included is support for matrices with constraints common to geophysical tensors (constant trace, sum of squared eigenvalues, or both) and eigenvectors are usually considered nuisance parameters. Pivotal bootstrap methods enable these tests to have good performance for small samples (n=15 for 3x3 matrices). These methods were developed and studied by Hingee, Scealy and Wood (2026, "Nonparametric bootstrap inference for the eigenvalues of geophysical tensors", accepted by the Journal of American Statistical Association). Also available is a 2-sample test using a Gaussian orthogonal ensemble approximation and an eigenvalue-multiplicity test that assumes orthogonally-invariant covariance.
URL: https://github.com/kasselhingee/TFORGE
Imports: mvtnorm, purrr, Rdpack
Suggests: testthat
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-29 00:34:24 UTC; kassel
Author: Kassel Liam Hingee [aut, cre] , Art B. Owen [cph] , Board of Trustees Leland Stanford Junior University [cph]
Maintainer: Kassel Liam Hingee <kassel.hingee@anu.edu.au>
Repository: CRAN
Date/Publication: 2025-12-04 14:40:40 UTC

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New package SFOCDs with initial version 1.0.0
Package: SFOCDs
Title: Space Filling Optimal Covariate Designs
Version: 1.0.0
Description: We have designed this package to address experimental scenarios involving multiple covariates. It focuses on construction of Optimal Covariate Designs (OCDs), checking space filling property of the developed design. The primary objective of the package is to generate OCDs using four methods viz., M array method, Juxtapose method, Orthogonal Integer Array and Hadamard method. The package also evaluates space filling properties of both the base design and OCDs using the MaxPro criterion, providing a meaningful basis for comparison. In addition, it includes tool to visualize the spread offered by the design points in the form of scatterplot, which help users to assess distribution and coverage of design points.
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>
License: GPL (>= 2)
Encoding: UTF-8
Repository: CRAN
NeedsCompilation: no
Packaged: 2025-11-29 12:13:50 UTC; Ashutosh
Author: Neethu RS [aut, ctb], Cini Varghese [aut, ctb], Mohd Harun [aut, ctb], Anindita Datta [aut, ctb], Ashutosh Dalal [aut, ctb, cre]
Date/Publication: 2025-12-04 14:50:02 UTC

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New package dentomedical with initial version 0.1.3
Package: dentomedical
Title: Publication-Ready Descriptive, Bivariate, Regression, and Diagnostic Accuracy Tools for Medical and Dental Data
Version: 0.1.3
Description: The 'dentomedical' package provides a comprehensive suite of tools for medical and dental research. It includes automated descriptive statistics, bivariate analysis with intelligent test selection, logistic regression, and diagnostic accuracy assessment. All functions generate structured, publication-ready tables using 'flextable', ensuring reproducibility and clarity suitable for manuscripts, reports, and clinical research workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, stats, flextable, tibble, MASS, broom, tidyr
Depends: R (>= 4.0.0)
URL: https://github.com/umarhussain-git/dentomedical
BugReports: https://github.com/umarhussain-git/dentomedical/issues
NeedsCompilation: no
Suggests: testthat, knitr, rmarkdown
Packaged: 2025-11-30 04:03:28 UTC; DR. Umar Hussain
Author: Umar Hussain [aut, cre]
Maintainer: Umar Hussain <drumarhussain@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-04 15:00:09 UTC

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New package blockedFF with initial version 0.1.0
Package: blockedFF
Title: Generation of Blocked Fractional Factorial Designs (Two-Level and Three-Level)
Version: 0.1.0
Description: Provides computational tools to generate efficient blocked and unblocked fractional factorial designs for two-level and three-level factors using the generalized Minimum Aberration (MA) criterion and related optimization algorithms. Methodological foundations include the general theory of minimum aberration as described by Cheng and Tang (2005) <doi:10.1214/009053604000001228>, and the catalogue of three-level regular fractional factorial designs developed by Xu (2005) <doi:10.1007/s00184-005-0408-x>. The main functions dol2() and dol3() generate blocked two-level and three-level fractional factorial designs, respectively, using beam search, optimization-based ranking, confounding assessment, and structured output suitable for complete factorial situations.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-30 03:54:24 UTC; B.N Mandal
Author: Sunil Kumar Yadav [aut], Sukanta Dash [aut, cre], Anil Kumar [aut]
Maintainer: Sukanta Dash <sukanta.iasri@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-04 15:00:14 UTC

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New package caugi with initial version 0.3.1
Package: caugi
Title: Causal Graph Interface
Version: 0.3.1
Description: Create, query, and modify causal graphs. 'caugi' (Causal Graph Interface) is a causality-first, high performance graph package that provides a simple interface to build, structure, and examine causal relationships.
License: MIT + file LICENSE
URL: https://frederikfabriciusbjerre.github.io/caugi/
BugReports: https://github.com/frederikfabriciusbjerre/caugi/issues
Depends: R (>= 4.2)
Imports: data.table, fastmap, S7, stats, methods
Suggests: bnlearn, dagitty, devtools, ggm, graph, gRbase, igraph, knitr, MASS, Matrix, rextendr, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.80.0, xz
NeedsCompilation: yes
Packaged: 2025-11-28 21:17:22 UTC; fabben
Author: Frederik Fabricius-Bjerre [aut, cre, cph], Johan Larsson [aut] , Michael Sachs [aut]
Maintainer: Frederik Fabricius-Bjerre <frederik@fabriciusbjerre.dk>
Repository: CRAN
Date/Publication: 2025-12-04 12:00:02 UTC

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Wed, 03 Dec 2025

New package statisR with initial version 1.0.1
Package: statisR
Title: STATIS and STATIS DUAL Multivariate Methods
Version: 1.0.1
Description: Provides tools for the integration and exploration of data tables measured on the same set of observational units. The package includes methods to assess similarities among tables, extract common patterns across variable blocks, and create visual summaries that highlight shared structures in multiblock data.
License: GPL (>= 2)
Encoding: UTF-8
Imports: ggforce, ggplot2, ggrepel
Depends: R (>= 4.1)
Language: en-US
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-28 20:49:01 UTC; promidat20
Author: Oldemar Rodriguez [aut, cre], Alejandro Vargas [ctb, prg]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>
Repository: CRAN
Date/Publication: 2025-12-03 21:20:02 UTC

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New package taskqueue with initial version 0.2.0
Package: taskqueue
Title: Task Queue for Parallel Computing Based on PostgreSQL
Version: 0.2.0
Description: Implements a task queue system for asynchronous parallel computing using 'PostgreSQL' <https://www.postgresql.org/> as a backend. Designed for embarrassingly parallel problems where tasks do not communicate with each other. Dynamically distributes tasks to workers, handles uneven load balancing, and allows new workers to join at any time. Particularly useful for running large numbers of independent tasks on high-performance computing (HPC) clusters with 'SLURM' <https://slurm.schedmd.com/> job schedulers.
URL: https://taskqueue.bangyou.me/, https://github.com/byzheng/taskqueue
BugReports: https://github.com/byzheng/taskqueue/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: settings, stats, stringr, RPostgres, ggplot2, whisker, rlang, shiny, DBI, ssh
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-27 23:59:11 UTC; zhe00a
Author: Bangyou Zheng [aut, cre]
Maintainer: Bangyou Zheng <bangyou.zheng@csiro.au>
Repository: CRAN
Date/Publication: 2025-12-03 20:30:02 UTC

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New package snic with initial version 0.6.0
Package: snic
Title: Superpixel Segmentation with the Simple Non-Iterative Clustering Algorithm
Version: 0.6.0
Maintainer: Rolf Simoes <rolfsimoes@gmail.com>
Description: Implements the Simple Non-Iterative Clustering algorithm for superpixel segmentation of multi-band images, as introduced by Achanta and Susstrunk (2017) <doi:10.1109/CVPR.2017.520>. Supports both standard image arrays and geospatial raster objects, with a design that can be extended to other spatial data frameworks. The algorithm groups adjacent pixels into compact, coherent regions based on spectral similarity and spatial proximity. A high-performance implementation supports images with arbitrary spectral bands.
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0), terra, spelling, covr, magick, jpeg, png, knitr, rmarkdown
URL: https://github.com/rolfsimoes/snic, https://rolfsimoes.github.io/snic/
BugReports: https://github.com/rolfsimoes/snic/issues
ByteCompile: true
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2025-11-28 03:49:24 UTC; rolf
Author: Rolf Simoes [aut, cre] , Felipe Souza [aut] , Felipe Carlos [aut] , Gilberto Camara [aut, rth]
Repository: CRAN
Date/Publication: 2025-12-03 20:40:02 UTC

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New package SHAKTI with initial version 0.1.0
Package: SHAKTI
Title: Suite for Heat-Related Adsorption Knowledge and Thermodynamic Inference
Description: A comprehensive framework for quantifying the fundamental thermodynamic parameters of adsorption reactions—changes in the standard Gibbs free energy (delta G), enthalpy (delta H), and entropy (delta S)—is essential for understanding the spontaneity, heat effects, and molecular ordering associated with sorption processes. By analysing temperature-dependent equilibrium data, thermodynamic interpretation expands adsorption studies beyond conventional isotherm fitting, offering deeper insight into underlying mechanisms and surface–solute interactions. Such an approach typically involves evaluating equilibrium coefficients across multiple temperatures and non-temperature treatments, deriving thermodynamic parameters using established thermodynamic relationships, and determining delta G as a temperature-specific indicator of adsorption favourability. This analytical pathway is widely applicable across environmental science, soil science, chemistry, materials science, and engineering, where r [...truncated...]
Author: Arkaprava Roy [aut], Debopam Rakshit [aut, cre], Siba Prasad Datta [aut], Kanchikeri Math Manjaiah [aut], Mandira Barman [aut], Debashis Mandal [aut]
Maintainer: Debopam Rakshit <rakshitdebopam@yahoo.com>
Version: 0.1.0
Encoding: UTF-8
License: GPL-3
Imports: dplyr, stats, magrittr
NeedsCompilation: no
Packaged: 2025-11-28 06:43:41 UTC; Debopam
Repository: CRAN
Date/Publication: 2025-12-03 20:40:08 UTC

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New package rtmpinv with initial version 0.1.0
Package: rtmpinv
Title: Tabular Matrix Problems via Pseudoinverse Estimation
Version: 0.1.0
Description: The Tabular Matrix Problems via Pseudoinverse Estimation (TMPinv) is a two-stage estimation method that reformulates structured table-based systems - such as allocation problems, transaction matrices, and input-output tables - as structured least-squares problems. Based on the Convex Least Squares Programming (CLSP) framework, TMPinv solves systems with row and column constraints, block structure, and optionally reduced dimensionality by (1) constructing a canonical constraint form and applying a pseudoinverse-based projection, followed by (2) a convex-programming refinement stage to improve fit, coherence, and regularization (e.g., via Lasso, Ridge, or Elastic Net).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.2)
Imports: rclsp
Suggests: testthat (>= 3.0.0)
URL: https://github.com/econcz/rtmpinv
BugReports: https://github.com/econcz/rtmpinv/issues
NeedsCompilation: no
Packaged: 2025-11-28 01:23:45 UTC; ilyabolotov
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>
Repository: CRAN
Date/Publication: 2025-12-03 20:30:08 UTC

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New package rlppinv with initial version 0.1.0
Package: rlppinv
Title: Linear Programming via Regularized Least Squares
Version: 0.1.0
Description: The Linear Programming via Regularized Least Squares (LPPinv) is a two-stage estimation method that reformulates linear programs as structured least-squares problems. Based on the Convex Least Squares Programming (CLSP) framework, LPPinv solves linear inequality, equality, and bound constraints by (1) constructing a canonical constraint system and computing a pseudoinverse projection, followed by (2) a convex-programming correction stage to refine the solution under additional regularization (e.g., Lasso, Ridge, or Elastic Net). LPPinv is intended for underdetermined and ill-posed linear problems, for which standard solvers fail.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.2)
Imports: rclsp
Suggests: testthat (>= 3.0.0)
URL: https://github.com/econcz/rlppinv
BugReports: https://github.com/econcz/rlppinv/issues
NeedsCompilation: no
Packaged: 2025-11-28 01:13:20 UTC; ilyabolotov
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>
Repository: CRAN
Date/Publication: 2025-12-03 20:30:13 UTC

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New package osrm.backend with initial version 0.1.0
Package: osrm.backend
Title: Bindings for 'Open Source Routing Machine'
Version: 0.1.0
Description: Install and control 'Open Source Routing Machine' ('OSRM') backend executables to prepare routing data and run/stop a local 'OSRM' server. For computations with the running server use the 'osrm' R package (<https://cran.r-project.org/package=osrm>).
License: MIT + file LICENSE
URL: https://github.com/e-kotov/osrm.backend, https://www.ekotov.pro/osrm.backend/
BugReports: https://github.com/e-kotov/osrm.backend/issues
Imports: digest, httr2, jsonlite, processx, ps
Suggests: knitr, osrm, quarto, sf, testthat (>= 3.0.0)
VignetteBuilder: quarto
Encoding: UTF-8
Language: en
SystemRequirements: OSRM backend binaries (>= v5.27.0) <https://github.com/Project-OSRM/osrm-backend>; package downloads binaries automatically if not found
NeedsCompilation: no
Packaged: 2025-11-28 13:24:05 UTC; ek
Author: Egor Kotov [aut, cre, cph]
Maintainer: Egor Kotov <kotov.egor@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-03 21:00:02 UTC

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New package MultiRFM with initial version 1.1.0
Package: MultiRFM
Title: High-Dimensional Multi-Study Robust Factor Model
Version: 1.1.0
Date: 2025-11-28
Author: Wei Liu [aut, cre], Xiaolu Jiang [aut]
Maintainer: Wei Liu <liuweideng@gmail.com>
Description: We introduce a high-dimensional multi-study robust factor model, which learns latent features and accounts for the heterogeneity among source. It could be used for analyzing heterogeneous RNA sequencing data. More details can be referred to Jiang et al. (2025) <doi:10.48550/arXiv.2506.18478>.
License: GPL-3
Depends: R (>= 3.5.0)
Imports: MASS, irlba, LaplacesDemon, mixtools, mvtnorm, Rcpp (>= 1.0.8.3)
URL: https://github.com/feiyoung/MultiRFM
BugReports: https://github.com/feiyoung/MultiRFM/issues
Encoding: UTF-8
Suggests: knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-11-28 11:25:25 UTC; 10297
Repository: CRAN
Date/Publication: 2025-12-03 20:50:07 UTC

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New package geopsych with initial version 0.1.0
Package: geopsych
Title: Methods of Applied Psychology and Psychometrics in Geographical Analysis
Version: 0.1.0
Description: Integrating applied psychological and psychometric methods into geographical analysis. With the emergence of geo-referenced questionnaires, spatially explicit psychological and psychometric methods can offer a geographically contextualised approach that reflects latent traits and processes at a more local scale, leading to more tailored research and decision-making processes. The implemented methods include Geographically Weighted Cronbach's alpha and its bandwidth selection. See Zhang & Li (2025) <doi:10.1111/gean.70021>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://github.com/ZhangSui921/geopsych
Depends: R (>= 3.5)
Imports: sp
NeedsCompilation: no
Packaged: 2025-11-28 11:37:42 UTC; f89389sz
Author: Sui Zhang [aut, cre]
Maintainer: Sui Zhang <sui.zhang@manchester.ac.uk>
Repository: CRAN
Date/Publication: 2025-12-03 20:50:02 UTC

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New package FoRDM with initial version 1.0.0
Package: FoRDM
Title: Forest Many-Objective Robust Decision Making ('FoRDM')
Version: 1.0.0
Maintainer: Marc Djahangard <marc.djahangard@ife.uni-freiburg.de>
Description: Forest Many-Objective Robust Decision Making ('FoRDM') is a R toolkit for supporting robust forest management under deep uncertainty. It provides a forestry-focused application of Many-Objective Robust Decision Making ('MORDM') to forest simulation outputs, enabling users to evaluate robustness using regret- and 'satisficing'-based measures. 'FoRDM' identifies robust solutions, generates Pareto fronts, and offers interactive 2D, 3D, and parallel-coordinate visualizations.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr (>= 1.0.0), ggplot2 (>= 3.3.0), magrittr (>= 2.0.0), tidyr (>= 1.1.0), rlang (>= 0.4.0), tibble (>= 3.0.0), plotly (>= 4.10.0), emoa (>= 0.5.0), stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-28 12:27:56 UTC; Marc Djahangard
Author: Marc Djahangard [aut, cre], Rasoul Yousefpour [aut]
Repository: CRAN
Date/Publication: 2025-12-03 20:50:11 UTC

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New package CimpleG with initial version 1.0.0
Package: CimpleG
Title: A Method to Identify Single CpG Sites for Classification and Deconvolution
Version: 1.0.0
Date: 2025-11-21
Maintainer: Tiago F.V. Maie <tiagomaie@hotmail.com>
Description: DNA methylation signatures are usually based on multivariate approaches that require hundreds of sites for predictions. 'CimpleG' is a method for the detection of small CpG methylation signatures used for cell-type classification and deconvolution. 'CimpleG' is time efficient and performs as well as top performing methods for cell-type classification of blood cells and other somatic cells, while basing its prediction on a single DNA methylation site per cell type (but users can also select more sites if they so wish). Users can train cell type classifiers ('CimpleG' based, and others) and directly apply these in a deconvolution of cell mixes context. Altogether, 'CimpleG' provides a complete computational framework for the delineation of DNAm signatures and cellular deconvolution. For more details see Maié et al. (2023) <doi:10.1186/s13059-023-03000-0>.
License: GPL (>= 3)
URL: https://github.com/CostaLab/CimpleG, https://costalab.github.io/CimpleG/
BugReports: https://github.com/CostaLab/CimpleG/issues
Depends: R (>= 4.1.0)
Imports: archive, assertthat, broom, butcher, caret, data.table, devtools, dplyr, forcats, ggExtra, ggplot2, ggrepel, ggsci, grDevices, gtools, magrittr, matrixStats, methods, nnls, OneR, parsnip, patchwork, purrr, recipes, rlang, rsample, scales, stats, tibble, tictoc, tidyr, tidyselect, tsutils, tune, utils, vroom, workflows, yardstick
Suggests: Biobase, biomaRt, C50, circlize, EpiDISH, furrr, future, future.apply, GEOquery, ggbeeswarm, ggsignif, glmnet, knitr, minfi, mltools, NMF, nnet, plyr, ranger, RColorBrewer, reshape2, Rfast, rmarkdown, spelling, stringr, SummarizedExperiment, testthat (>= 3.0.0), withr, xgboost
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-11-28 09:48:45 UTC; tmaie
Author: Tiago F.V. Maie [aut, cre]
Repository: CRAN
Date/Publication: 2025-12-03 20:50:17 UTC

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Tue, 02 Dec 2025

New package min2HalfFFD with initial version 0.1.0
Package: min2HalfFFD
Title: Minimally Changed Two-Level Half-Fractional Factorial Designs
Version: 0.1.0
Maintainer: Bijoy Chanda <bijoychanda08@gmail.com>
Description: In many agricultural, engineering, industrial, post-harvest and processing experiments, the number of factor level changes and hence the total number of changes is of serious concern as such experiments may consists of hard-to-change factors where it is physically very difficult to change levels of some factors or sometime such experiments may require normalization time to obtain adequate operating condition. For this reason, run orders that offer the minimum number of factor level changes and at the same time minimize the possible influence of systematic trend effects on the experimentation have been sought. Factorial designs with minimum changes in factors level may be preferred for such situations as these minimally changed run orders will minimize the cost of the experiments. This technique can be employed to any half replicate of two level factorial run order where the number of factors are greater than two. For method details see, Bhowmik, A., Varghese, E., Jaggi, S. and Varghes [...truncated...]
License: GPL-3
Encoding: UTF-8
Imports: shiny, hrtlFMC, shinybusy
Suggests: testthat (>= 3.0.0), roxygen2, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-27 05:12:34 UTC; Bijoy Chanda
Author: Bijoy Chanda [aut, cre, ctb], Arpan Bhowmik [aut, ctb], Seema Jaggi [aut], Eldho Varghese [aut, ctb], Cini Varghese [aut], Anindita Datta [aut], Dibyendu Deb [aut]
Repository: CRAN
Date/Publication: 2025-12-02 15:10:02 UTC

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New package StealLikeBayes with initial version 1.0
Package: StealLikeBayes
Title: A Compendium of Bayesian Statistical Routines Written in 'C++'
Version: 1.0
Date: 2025-11-26
Maintainer: Tomasz Wozniak <wozniak.tom@pm.me>
Description: This is a compendium of 'C++' routines useful for Bayesian statistics. We steal other people's 'C++' code, repurpose it, and export it so developers of 'R' packages can use it in their 'C++' code. We actually don't steal anything, or claim that Thomas Bayes did, but copy code that is compatible with our GPL 3 licence, fully acknowledging the authorship of the original code.
Imports: Rcpp (>= 1.1.0), GIGrvg
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, GIGrvg
Suggests: tinytest
URL: https://bsvars.org/StealLikeBayes/
BugReports: https://github.com/bsvars/StealLikeBayes/issues
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-11-26 20:33:25 UTC; twozniak
Author: Tomasz Wozniak [aut, cre] , Xiaolei Wang [aut] , Longcan Li [aut] , Jianying Shelly Xie [aut] , Filip Reierson [aut] , Kenyon Ng [aut]
Repository: CRAN
Date/Publication: 2025-12-02 14:50:02 UTC

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New package Sobol4R with initial version 0.4.0
Package: Sobol4R
Title: Sobol Indices for Models with Fixed and Stochastic Parameters
Version: 0.4.0
Date: 2025-11-26
Depends: R (>= 3.5.0)
Imports: ggplot2, Rcpp (>= 1.0.0), rlang, sensitivity, stats
Suggests: knitr, markdown, rmarkdown, simmer, testthat (>= 3.0.0)
LinkingTo: Rcpp
Author: Frederic Bertrand [cre, aut] , Elizaveta Logosha [aut], Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Tools to design experiments, compute Sobol sensitivity indices, and summarise stochastic responses inspired by the strategy described by Zhu and Sudret (2021) <doi:10.1016/j.ress.2021.107815>. Includes helpers to optimise toy models implemented in C++, visualise indices with uncertainty quantification, and derive reliability-oriented sensitivity measures based on failure probabilities. It is further detailed in Logosha, Maumy and Bertrand (2022) <doi:10.1063/5.0246026> and (2023) <doi:10.1063/5.0246024> or in Bertrand, Logosha and Maumy (2024) <https://hal.science/hal-05371803>, <https://hal.science/hal-05371795> and <https://hal.science/hal-05371798>.
LazyLoad: yes
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
Classification/MSC:
URL: https://fbertran.github.io/Sobol4R/, https://github.com/fbertran/Sobol4R
BugReports: https://github.com/fbertran/Sobol4R/issues
NeedsCompilation: yes
Packaged: 2025-11-27 00:54:30 UTC; bertran7
Repository: CRAN
Date/Publication: 2025-12-02 15:00:02 UTC

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New package PEAXAI with initial version 0.1.0
Package: PEAXAI
Title: Probabilistic Efficiency Analysis Using Explainable Artificial Intelligence
Version: 0.1.0
Description: Provides a probabilistic framework that integrates Data Envelopment Analysis (DEA) (Banker et al., 1984) <doi:10.1287/mnsc.30.9.1078> with machine learning classifiers (Kuhn, 2008) <doi:10.18637/jss.v028.i05> to estimate both the (in)efficiency status and the probability of efficiency for decision-making units. The approach trains predictive models on DEA-derived efficiency labels (Charnes et al., 1985) <doi:10.1016/0304-4076(85)90133-2>, enabling explainable artificial intelligence (XAI) workflows with global and local interpretability tools, including permutation importance (Molnar et al., 2018) <doi:10.21105/joss.00786>, Shapley value explanations (Strumbelj & Kononenko, 2014) <doi:10.1007/s10115-013-0679-x>, and sensitivity analysis (Cortez, 2011) <https://CRAN.R-project.org/package=rminer>. The framework also supports probability-threshold peer selection and counterfactual improvement recommendations for benchmarking and policy evaluation. T [...truncated...]
License: GPL-3
URL: https://github.com/rgonzalezmoyano/PEAXAI
BugReports: https://github.com/rgonzalezmoyano/PEAXAI/issues
Encoding: UTF-8
Language: en
Depends: R (>= 3.5)
Imports: Benchmarking, caret, deaR, dplyr, fastshap, iml, PRROC, pROC, rminer, stats
Suggests: ggplot2, knitr, rmarkdown, nnet
VignetteBuilder: knitr
LazyData: false
ByteCompile: true
NeedsCompilation: no
Packaged: 2025-11-27 01:08:27 UTC; Ricardo
Author: Ricardo Gonzalez Moyano [cre, aut] , Juan Aparicio [aut] , Jose Luis Zofio [aut] , Victor Espana [aut]
Maintainer: Ricardo Gonzalez Moyano <ricardo.gonzalezm@umh.es>
Repository: CRAN
Date/Publication: 2025-12-02 14:50:07 UTC

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New package motherduck with initial version 0.2.0
Package: motherduck
Title: Utilities for Managing a 'Motherduck' Database
Version: 0.2.0
Description: Provides helper functions, metadata utilities, and workflows for administering and managing databases on the 'Motherduck' cloud platform. Some features require a 'Motherduck' account (<https://motherduck.com/>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: DBI, assertthat, cli, dbplyr, dplyr, duckdb (>= 1.4.1), glue, purrr, stringr, httr2, rlang, janitor, tibble
Suggests: testthat (>= 3.0.0), quarto, contoso, openxlsx
Depends: R (>= 4.1.0)
URL: https://usrbinr.github.io/motherduck/
NeedsCompilation: no
Packaged: 2025-11-26 16:54:06 UTC; hagan
Author: Alejandro Hagan [aut, cre]
Maintainer: Alejandro Hagan <alejandro.hagan@outlook.com>
Repository: CRAN
Date/Publication: 2025-12-02 14:40:02 UTC

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Mon, 01 Dec 2025

New package DSFM with initial version 1.0.1
Package: DSFM
Title: Distributed Skew Factor Model Estimation Methods
Version: 1.0.1
Author: Guangbao Guo [aut, cre], Yu Jin [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Description: Provides a distributed framework for simulating and estimating skew factor models under various skewed and heavy-tailed distributions. The methods support distributed data generation, aggregation of local estimators, and evaluation of estimation performance via mean squared error, relative error, and sparsity measures. The distributed principal component (PC) estimators implemented in the package include 'IPC' (Independent Principal Component),'PPC' (Project Principal Component), 'SPC' (Sparse Principal Component), and other related distributed PC methods. The methodological background follows Guo G. (2023) <doi:10.1007/s00180-022-01270-z>.
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: MASS, matrixcalc, sn, stats, psych, elasticnet, SOPC
Suggests: ggplot2, cowplot, testthat (>= 3.0.0)
NeedsCompilation: no
Language: en-US
License: MIT + file LICENSE
Packaged: 2025-11-26 11:35:33 UTC; AIERXUAN
Repository: CRAN
Date/Publication: 2025-12-01 15:10:02 UTC

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New package trunmnt with initial version 1.0.0
Package: trunmnt
Title: Moments of Truncated Multivariate Normal Distribution
Version: 1.0.0
Date: 2025-11-8
Description: Computes the product moments of the truncated multivariate normal distribution, particularly for cases involving patterned variance-covariance matrices. It also has the capability to calculate these moments with arbitrary positive-definite matrices, although performance may degrade for high-dimensional variables.
License: GPL-2
Depends: R (>= 4.1.0)
Imports: fastGHQuad, Rcpp, RcppArmadillo
Suggests: MomTrunc (>= 6.1), truncnorm (>= 1.0.9), tmvtnorm (>= 1.7), testthat, R.rsp
LinkingTo: Rcpp, RcppArmadillo, fastGHQuad
NeedsCompilation: yes
VignetteBuilder: R.rsp
Encoding: UTF-8
Packaged: 2025-11-25 19:19:18 UTC; LeeSeung
Author: Seung-Chun Lee [aut, cre]
Maintainer: Seung-Chun Lee <seung@hs.ac.kr>
Repository: CRAN
Date/Publication: 2025-12-01 14:40:08 UTC

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New package SpuriousMemory with initial version 1.0.0
Package: SpuriousMemory
Title: Testing True Long Memory Against Spurious Long Memory
Version: 1.0.0
Maintainer: Zhongjun Qu <qu@bu.edu>
Description: Implements a test for distinguishing between true long memory and spurious long memory. Reference: Qu, Z. (2011). "A Test Against Spurious Long Memory." Journal of Business & Economic Statistics, 29(3), 423–438. <doi:10.1198/jbes.2010.09153>.
License: GPL (>= 3)
Depends: R (>= 4.3.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Imports: fracdiff, stats
LazyData: true
Packaged: 2025-11-25 18:47:36 UTC; qu
Author: Zhongjun Qu [aut, cre], Cheolju Kim [aut]
Repository: CRAN
Date/Publication: 2025-12-01 14:40:21 UTC

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New package secrfunc with initial version 1.0.0
Package: secrfunc
Title: Helper Functions for Package 'secr'
Version: 1.0.0
Date: 2025-11-26
Description: Functions are provided for internal use by the spatial capture-recapture package 'secr' (from version 5.4.0). The idea is to speed up the installation of 'secr', and possibly reduce its size. Initially the functions are those for area and transect search that use numerical integration code from 'RcppNumerical' and 'RcppEigen'. The functions are not intended to be user-friendly and require considerable preprocessing of data.
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 0.12.14), RcppNumerical, RcppParallel (>= 5.1.1)
Suggests: knitr, rmarkdown, testthat
LinkingTo: BH, Rcpp, RcppEigen, RcppNumerical, RcppParallel
License: GPL (>= 2)
SystemRequirements: GNU make
URL: https://www.otago.ac.nz/density/
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-11-25 23:57:24 UTC; murra
Author: Murray Efford [aut, cre] , Philipp Jund [ctb] )
Maintainer: Murray Efford <murray.efford@otago.ac.nz>
Repository: CRAN
Date/Publication: 2025-12-01 14:50:02 UTC

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New package odiffr with initial version 0.1.0
Package: odiffr
Title: Fast Pixel-by-Pixel Image Comparison Using 'odiff'
Version: 0.1.0
Description: R bindings to 'odiff', a blazing-fast pixel-by-pixel image comparison tool <https://github.com/dmtrKovalenko/odiff>. Supports PNG, JPEG, WEBP, and TIFF with configurable thresholds, antialiasing detection, and region ignoring. Requires system installation of 'odiff'. Ideal for visual regression testing in automated workflows.
SystemRequirements: odiff (>= 3.0.0) - https://github.com/dmtrKovalenko/odiff
License: MIT + file LICENSE
URL: https://github.com/BenWolst/odiffr
BugReports: https://github.com/BenWolst/odiffr/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: tools
Suggests: knitr, magick, png, rmarkdown, testthat (>= 3.0.0), tibble, withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-26 12:45:00 UTC; benwolstenholme
Author: Ben Wolstenholme [aut, cre]
Maintainer: Ben Wolstenholme <odiffr@benwolst.dev>
Repository: CRAN
Date/Publication: 2025-12-01 15:00:02 UTC

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New package MLFDR with initial version 0.1.0
Package: MLFDR
Title: High Dimensional Mediation Analysis using Local False Discovery Rates
Version: 0.1.0
Description: Implements a high dimensional mediation analysis algorithm using Local False Discovery Rates. The methodology is described in Roy and Zhang (2024) <doi:10.48550/arXiv.2402.13933>.
License: GPL-2
Encoding: UTF-8
Imports: NMOF, stats
NeedsCompilation: no
Packaged: 2025-11-25 19:04:51 UTC; asmitaroy
Author: Asmita Roy [aut, cre]
Maintainer: Asmita Roy <aroy38@jh.edu>
Repository: CRAN
Date/Publication: 2025-12-01 14:40:27 UTC

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New package LBBNN with initial version 0.1.1
Package: LBBNN
Title: Latent Binary Bayesian Neural Networks Using 'torch'
Version: 0.1.1
Maintainer: Lars Skaaret-Lund <lars.skaaret-lund@nmbu.no>
Description: Latent binary Bayesian neural networks (LBBNNs) are implemented using 'torch', an R interface to the LibTorch backend. Supports mean-field variational inference as well as flexible variational posteriors using normalizing flows. The standard LBBNN implementation follows Hubin and Storvik (2024) <doi:10.3390/math12060788>, using the local reparametrization trick as in Skaaret-Lund et al. (2024) <https://openreview.net/pdf?id=d6kqUKzG3V>. Input-skip connections are also supported, as described in Høyheim et al. (2025) <doi:10.48550/arXiv.2503.10496>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
Imports: ggplot2, torch, igraph, coro, svglite
NeedsCompilation: no
Packaged: 2025-11-25 10:49:33 UTC; larsskaaret-lund
Author: Lars Skaaret-Lund [aut, cre], Aliaksandr Hubin [aut], Eirik Hoeyheim [aut]
Repository: CRAN
Date/Publication: 2025-12-01 14:10:17 UTC

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New package heavytails with initial version 0.1.1
Package: heavytails
Title: Estimators and Algorithms for Heavy-Tailed Distributions
Version: 0.1.1
Description: Implements the estimators and algorithms described in Chapters 8 and 9 of the book "The Fundamentals of Heavy Tails: Properties, Emergence, and Estimation" by Nair et al. (2022, ISBN:9781009053730). These include the Hill estimator, Moments estimator, Pickands estimator, Peaks-over-Threshold (POT) method, Power-law fit, and the Double Bootstrap algorithm.
License: MIT + file LICENSE
URL: https://github.com/0diraf/heavytails
Depends: R (>= 3.5.0)
Encoding: UTF-8
Imports: stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-25 17:54:07 UTC; diraF
Author: Farid Rohan [aut, cre]
Maintainer: Farid Rohan <frohan@ur.rochester.edu>
Repository: CRAN
Date/Publication: 2025-12-01 14:30:02 UTC

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New package ExpBites with initial version 0.1.3
Package: ExpBites
Title: Analyzing Human Exposure to Mosquito Biting
Version: 0.1.3
Description: Tools to analyse human and mosquito behavioral interactions and to compute exposure to mosquito bites estimates. Using behavioral data for human individuals and biting patterns for mosquitoes, you will be able to compute hourly exposure for bed net users and non-users, and summarize (e.g. proportion indoors and outdoors, proportion per time periods, and proportion prevented by bed nets) or visualize these dynamics across a 24-hour cycle.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, tidyr, ggplot2, Rdpack (>= 0.7)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
URL: https://github.com/Nmoiroux/ExpBites
BugReports: https://github.com/Nmoiroux/ExpBites/issues
NeedsCompilation: no
Packaged: 2025-11-26 10:14:56 UTC; nicolasmoiroux
Author: Nicolas Moiroux [aut, cre]
Maintainer: Nicolas Moiroux <nicolas.moiroux@ird.fr>
Repository: CRAN
Date/Publication: 2025-12-01 15:00:08 UTC

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New package energyGOF with initial version 0.1
Package: energyGOF
Title: Goodness-of-Fit Tests for Univariate Data via Energy
Version: 0.1
Description: Conduct one- and two-sample goodness-of-fit tests for univariate data. In the one-sample case, normal, uniform, exponential, Bernoulli, binomial, geometric, beta, Poisson, lognormal, Laplace, asymmetric Laplace, inverse Gaussian, half-normal, chi-squared, gamma, F, Weibull, Cauchy, and Pareto distributions are supported. egof.test() can also test goodness-of-fit to any distribution with a continuous distribution function. A subset of the available distributions can be tested for the composite goodness-of-fit hypothesis, that is, one can test for distribution fit with unknown parameters. P-values are calculated via parametric bootstrap.
License: GPL (>= 3)
Encoding: UTF-8
Imports: energy, gsl, boot, fitdistrplus, statmod
URL: https://github.com/jthaman/energyGOF
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-25 19:44:35 UTC; john
Author: John Haman [aut, cre]
Maintainer: John Haman <mail@johnhaman.org>
Repository: CRAN
Date/Publication: 2025-12-01 14:40:15 UTC

More information about energyGOF at CRAN
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New package distionary with initial version 0.1.0
Package: distionary
Title: Create and Evaluate Probability Distributions
Version: 0.1.0
Description: Create and evaluate probability distribution objects from a variety of families or define custom distributions. Automatically compute distributional properties, even when they have not been specified. This package supports statistical modeling and simulations, and forms the core of the probaverse suite of R packages.
License: MIT + file LICENSE
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0), tibble
Encoding: UTF-8
Imports: checkmate, ellipsis, rlang, stats, vctrs
VignetteBuilder: knitr
URL: https://distionary.probaverse.com/, https://github.com/probaverse/distionary
BugReports: https://github.com/probaverse/distionary/issues
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2025-11-25 12:28:01 UTC; vcoia
Author: Vincenzo Coia [aut, cre, cph], Amogh Joshi [ctb], Shuyi Tan [ctb], Zhipeng Zhu [ctb]
Maintainer: Vincenzo Coia <vincenzo.coia@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-01 14:10:09 UTC

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New package bigPLSR with initial version 0.7.2
Package: bigPLSR
Version: 0.7.2
Date: 2025-11-26
Depends: R (>= 4.0.0)
Imports: Rcpp, bigmemory
LinkingTo: Rcpp, RcppArmadillo, BH, bigmemory
Suggests: bench, dplyr, forcats, future, future.apply, ggplot2, knitr, pls, plsRglm, rmarkdown, RhpcBLASctl, svglite, testthat (>= 3.0.0), tidyr, withr
VignetteBuilder: knitr
Title: Partial Least Squares Regression Models with Big Matrices
Author: Frederic Bertrand [cre, aut] , Myriam Maumy [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Fast partial least squares (PLS) for dense and out-of-core data. Provides SIMPLS (straightforward implementation of a statistically inspired modification of the PLS method) and NIPALS (non-linear iterative partial least-squares) solvers, plus kernel-style PLS variants ('kernelpls' and 'widekernelpls') with parity to 'pls'. Optimized for 'bigmemory'-backed matrices with streamed cross-products and chunked BLAS (Basic Linear Algebra Subprograms) (XtX/XtY and XXt/YX), optional file-backed score sinks, and deterministic testing helpers. Includes an auto-selection strategy that chooses between XtX SIMPLS, XXt (wide) SIMPLS, and NIPALS based on (n, p) and a configurable memory budget. About the package, Bertrand and Maumy (2023) <https://hal.science/hal-05352069>, and <https://hal.science/hal-05352061> highlighted fitting and cross-validating PLS regression models to big data. For more details about some of the techniques featured in the package, Dayal and MacGregor (1997) <d [...truncated...]
License: GPL-3
Encoding: UTF-8
URL: https://fbertran.github.io/bigPLSR/, https://github.com/fbertran/bigPLSR
BugReports: https://github.com/fbertran/bigPLSR/issues
Classification/MSC: 62N01, 62N02, 62N03, 62N99
LazyData: true
SystemRequirements: C++17, Optional CBLAS (detected at compile time)
NeedsCompilation: yes
Packaged: 2025-11-26 01:52:43 UTC; bertran7
Repository: CRAN
Date/Publication: 2025-12-01 14:50:07 UTC

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New package TopicTestlet with initial version 0.1.0
Package: TopicTestlet
Title: A Topic Testlet Model for Calibrating Testlet Constructed Responses
Version: 0.1.0
Description: Implements the Topic Testlet Model (TTM) as described by Xiong et al. (2025) <doi:10.1111/jedm.70001>. The package integrates Latent Dirichlet Allocation (LDA) with the Partial Credit Model to account for local item dependence in testlets using latent topics from student textual responses.
Depends: R (>= 4.0.0)
Imports: topicmodels, tm, stats
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-25 03:35:49 UTC; jx
Author: Jiawei Xiong [aut, cre], Cheng Tang [ctb], Qidi Liu [ctb]
Maintainer: Jiawei Xiong <jiawei.xiong@uga.edu>
Repository: CRAN
Date/Publication: 2025-12-01 14:00:02 UTC

More information about TopicTestlet at CRAN
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New package stoichUtilities with initial version 1.0.2
Package: stoichUtilities
Title: User Tools for Accessing the STOICH Project Database
Version: 1.0.2
Description: User tools for working with The STOICH (Stoichiometric Traits of Organisms in their Chemical Habitats) Project database <https://snr-stoich.unl.edu/>. This package is designed to aid in data discovery, filtering, pairing water samples with organism samples, and merging data tables to assist users in preparing data for analyses. For additional examples see "Additional Examples" and the readme file at <https://github.com/STOICH-project/STOICH-utilities>.
URL: https://github.com/STOICH-project/STOICH-utilities, https://snr-stoich.unl.edu/, https://stoichproject.wordpress.com/
BugReports: https://github.com/STOICH-project/STOICH-utilities/issues
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: tibble, tidyr, dplyr, readr, stringr, purrr, magrittr, lubridate, sf, rlang, units, stats, jsonlite
Suggests: tidyverse, maps, knitr, rmarkdown, gt, glue, gluedown, kableExtra, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-24 19:28:30 UTC; Chad
Author: Chad Petersen [aut, cre], Jessica Corman [ctb], Halvor Halvorson [ctb], Casey Brucker [ctb], Eli Wess [ctb], U.S. National Science Foundation [fnd]
Maintainer: Chad Petersen <cpetersen4@unl.edu>
Repository: CRAN
Date/Publication: 2025-12-01 13:40:02 UTC

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New package PSPI with initial version 1.1
Package: PSPI
Title: Propensity Score Predictive Inference for Generalizability
Version: 1.1
Date: 2025-11-15
Author: Jungang Zou [aut, cre], Qixuan Chen [aut], Joseph Schwartz [aut], Nathalie Moise [aut], Roderick Little [aut], Robert McCulloch [ctb], Rodney Sparapani [ctb], Charles Spanbauer [ctb], Robert Gramacy [ctb], Jean-Sebastien Roy [ctb]
Maintainer: Jungang Zou <jungang.zou@gmail.com>
Description: Provides a suite of Propensity Score Predictive Inference (PSPI) methods to generalize treatment effects in trials to target populations. The package includes an existing model Bayesian Causal Forest (BCF) and four PSPI models (BCF-PS, FullBART, SplineBART, DSplineBART). These methods leverage Bayesian Additive Regression Trees (BART) to adjust for high-dimensional covariates and nonlinear associations, while SplineBART and DSplineBART further use propensity score based splines to address covariate shift between trial data and target population.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Rcpp, arm, dplyr, mvtnorm, stringr, stats, nnet, methods
LinkingTo: Rcpp, RcppArmadillo, RcppDist, RcppProgress, pg
SystemRequirements: GNU make
Suggests: knitr, rmarkdown, mitml
NeedsCompilation: yes
Packaged: 2025-11-24 21:25:55 UTC; jz3183
Repository: CRAN
Date/Publication: 2025-12-01 13:50:05 UTC

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New package convergenceDFM with initial version 0.1.4
Package: convergenceDFM
Title: Convergence and Dynamic Factor Models
Version: 0.1.4
Description: Tests convergence in macro-financial panels combining Dynamic Factor Models (DFM) and mean-reverting Ornstein-Uhlenbeck (OU) processes. Provides: (i) static/approximate DFMs for large panels with VAR/VECM stability checks, Portmanteau tests and rolling out-of-sample R^2, following Stock and Watson (2002) <doi:10.1198/073500102317351921> and the Generalized Dynamic Factor Model of Forni, Hallin, Lippi and Reichlin (2000) <doi:10.1162/003465300559037>; (ii) cointegration analysis à la Johansen (1988) <doi:10.1016/0165-1889(88)90041-3>; (iii) OU-based convergence and half-life summaries grounded in Uhlenbeck and Ornstein (1930) <doi:10.1103/PhysRev.36.823> and Vasicek (1977) <doi:10.1016/0304-405X(77)90016-2>; (iv) robust inference via 'sandwich' HC/HAC estimators (Zeileis (2004) <doi:10.18637/jss.v011.i10>) and regression diagnostics ('lmtest'); and (v) optional PLS-based factor preselection (Mevik and Wehrens (2007) <doi:10.18637/jss.v018.i02>). [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: stats, methods, pls, vars, urca, readxl, dplyr, tidyr, stringr, magrittr, zoo
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, cmdstanr, posterior, rstan
Additional_repositories: https://mc-stan.org/r-packages/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-24 17:07:32 UTC; ROG
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadorenabi@pm.me>
Repository: CRAN
Date/Publication: 2025-12-01 13:40:07 UTC

More information about convergenceDFM at CRAN
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New package barry with initial version 0.2.1
Package: barry
Title: Your Go-to Motif Accountant
Version: 0.2.1
Depends: R (>= 4.1.0)
Description: Provides the 'C++' header-only library 'barry' for use in R packages. 'barry' is a 'C++' template library for counting sufficient statistics on binary arrays and building discrete exponential-family models. It provides tools for sparse arrays, user-defined count statistics, support set constraints, power set generation, and includes modules for Discrete Exponential Family Models (DEFMs) and network statistics. By placing these headers in this package, we offer an efficient distribution system for CRAN as replication of this code in the sources of other packages is avoided. This package follows the same approach as the 'BH' package which provides 'Boost' headers for R packages.
URL: https://github.com/USCbiostats/barryr, https://uscbiostats.github.io/barryr/
BugReports: https://github.com/USCbiostats/barryr/issues
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-24 20:51:09 UTC; runner
Author: George Vega Yon [aut, cre]
Maintainer: George Vega Yon <g.vegayon@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-01 13:50:02 UTC

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Thu, 27 Nov 2025

New package marsrad with initial version 1.0.0
Package: marsrad
Title: Mars Solar Radiation
Version: 1.0.0
Description: A set of functions to calculate solar irradiance and insolation on Mars horizontal and inclined surfaces. Based on NASA Technical Memoranda 102299, 103623, 105216, 106321, and 106700, i.e. the canonical Mars solar radiation papers.
License: GPL-3
URL: https://georges.fyi/marsrad/, https://github.com/georgeslabreche/marsrad
BugReports: https://github.com/georgeslabreche/marsrad/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: stats
Suggests: testthat, covr, DT, htmltools
NeedsCompilation: no
Packaged: 2025-11-24 05:33:29 UTC; georgeslabreche
Author: Georges Labreche [aut, cre]
Maintainer: Georges Labreche <georges@tanagraspace.com>
Repository: CRAN
Date/Publication: 2025-11-27 19:10:07 UTC

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New package grasps with initial version 0.1.0
Package: grasps
Title: Groupwise Regularized Adaptive Sparse Precision Solution
Version: 0.1.0
Maintainer: Shiying Xiao <shiying.xiao@outlook.com>
Description: Provides a unified framework for sparse-group regularization and precision matrix estimation in Gaussian graphical models. It implements multiple sparse-group penalties, including sparse-group lasso, sparse-group adaptive lasso, sparse-group SCAD, and sparse-group MCP, and solves them efficiently using ADMM-based optimization. The package is designed for high-dimensional network inference where both sparsity and group structure are present.
License: GPL (>= 3)
URL: https://github.com/Carol-seven/grasps, https://shiying-xiao.com/grasps/
BugReports: https://github.com/Carol-seven/grasps/issues
Encoding: UTF-8
Imports: igraph, ggforce, ggplot2, grDevices, Rcpp, Rdpack, scales
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, MASS, quarto, rmarkdown
VignetteBuilder: knitr, quarto
NeedsCompilation: yes
Packaged: 2025-11-24 04:09:47 UTC; csxiao
Author: Shiying Xiao [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-27 19:10:14 UTC

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New package glscalibrator with initial version 0.1.0
Package: glscalibrator
Title: Automated Calibration and Analysis of 'GLS' (Global Location Sensor) Data
Version: 0.1.0
Maintainer: Fabio Favoretto <favoretto.fabio@gmail.com>
Description: Provides a fully automated workflow for calibrating and analyzing light-level geolocation ('GLS') data from seabirds and other wildlife. The 'glscalibrator' package auto-discovers birds from directory structures, automatically detects calibration periods from the first days of deployment, processes multiple individuals in batch mode, and generates standardized outputs including position estimates, diagnostic plots, and quality control metrics. Implements the established threshold workflow internally, following the methods described in 'SGAT' (Wotherspoon et al. (2016) <https://github.com/SWotherspoon/SGAT>), 'GeoLight' (Lisovski et al. (2012) <doi:10.1111/j.2041-210X.2012.00185.x>), and 'TwGeos' (Lisovski et al. (2019) <https://github.com/slisovski/TwGeos>).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: magrittr, maps, dplyr, lubridate, stringr, utils, grDevices, graphics, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/fabbiologia/glscalibrator
BugReports: https://github.com/fabbiologia/glscalibrator/issues
Language: en-US
NeedsCompilation: no
Packaged: 2025-11-24 15:28:27 UTC; aburtolab
Author: Fabio Favoretto [aut, cre] , Cecilia Soldatini [aut]
Repository: CRAN
Date/Publication: 2025-11-27 19:50:02 UTC

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New package FactEff with initial version 1.0
Package: FactEff
Version: 1.0
Date: 2025-11-24
Title: Efficiencies of Block Designs for Factorial and Fractional Factorial Experiments
Author: Sukanta Dash [aut], Baidya Nath Mandal [aut, cre], Anil Kumar [aut]
Maintainer: Baidya Nath Mandal <mandal.stat@gmail.com>
Depends: R (>= 4.5.0)
Imports: shiny, MASS, Matrix, htmltools
Description: Opens a 'shiny' app which supports theoretical and computational analysis of block designs for symmetrical and mixed level factorial experiments. This package includes tools to check whether a design has orthogonal factorial structure (OFS) with balance or not and is able to find the orthogonality deviation value if not having OFS. This package includes function to evaluate efficiency factor of all factorial effects in two situations, in the first situation if the design is verified with OFS and balance then calculate the efficiencies of all factorial effects using a specific analytical procedure and in the second situation if the design is verified with non-OFS and balance then a new general method has been developed and used to calculate efficiencies under the condition that the design should be proper and equi-replicated, See Gupta, S.C. and Mukerjee, R. (1987): "A Calculus for factorial arrangements". Lecture Notes in Statistics. No. 59, Springer-Verlag, Berlin, New York, <do [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-24 07:13:26 UTC; user17
Repository: CRAN
Date/Publication: 2025-11-27 19:10:20 UTC

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New package colorize with initial version 0.2.1
Package: colorize
Title: Render Text in Color for Markdown/Quarto Documents
Description: Provides some simple functions for printing text in color in 'markdown' or 'Quarto' documents, to be rendered as HTML or LaTeX. This is useful when writing about the use of colors in graphs or tables, where you want to print their names in their actual color to give a direct impression of the color, like “red” shown in red, or “blue” shown in blue.
Version: 0.2.1
Date: 2025-11-24
Depends: R (>= 4.1.0)
Imports: colorspace, knitr
Suggests: quarto, glue, crayon
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: quarto
Language: en-US
URL: https://github.com/friendly/colorize
BugReports: https://github.com/friendly/colorize/issues
NeedsCompilation: no
Packaged: 2025-11-24 14:30:40 UTC; friendly
Author: Michael Friendly [aut, cre] , Achim Zeileis [aut] , Richard Brath [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>
Repository: CRAN
Date/Publication: 2025-11-27 19:50:07 UTC

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New package tidydp with initial version 0.1.0
Package: tidydp
Title: Tidy Differential Privacy
Version: 0.1.0
Description: A tidy-style interface for applying differential privacy to data frames. Provides pipe-friendly functions to add calibrated noise, compute private statistics, and track privacy budgets using the epsilon-delta differential privacy framework. Implements the Laplace mechanism (Dwork et al. 2006 <doi:10.1007/11681878_14>) and the Gaussian mechanism for achieving differential privacy as described in Dwork and Roth (2014) <doi:10.1561/0400000042>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: magrittr, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/ttarler/tidydp
BugReports: https://github.com/ttarler/tidydp/issues
NeedsCompilation: no
Packaged: 2025-11-23 17:20:57 UTC; ttarler
Author: Thomas Tarler [aut, cre]
Maintainer: Thomas Tarler <ttarler@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-27 19:00:02 UTC

More information about tidydp at CRAN
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Wed, 26 Nov 2025

New package xtvfreg with initial version 1.1.0
Package: xtvfreg
Title: Variance Function Panel Regression
Version: 1.1.0
Description: Implements an iterative mean-variance panel regression estimator that allows both the mean and variance of the dependent variable to be functions of covariates. The method alternates between estimating a mean equation (using generalized linear models with Gaussian family) and a variance equation (using generalized linear models with Gamma family on squared within-group residuals) until convergence. Based on the methodology in Mooi-Reci and Liao (2025) <doi:10.1093/esr/jcae052>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Imports: stats, rlang
Suggests: haven, ggplot2, knitr, gt, modelsummary
NeedsCompilation: no
Packaged: 2025-11-22 14:56:52 UTC; tfliao
Author: Tim F. Liao [aut, cre]
Maintainer: Tim F. Liao <tfliao@illinois.edu>
Repository: CRAN
Date/Publication: 2025-11-26 20:40:02 UTC

More information about xtvfreg at CRAN
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New package macro with initial version 0.1.5
Package: macro
Title: A Macro Language for 'R' Programs
Version: 0.1.5
Description: A macro language for 'R' programs, which provides a macro facility similar to 'SAS®'. This package contains basic macro capabilities like defining macro variables, executing conditional logic, and defining macro functions.
License: CC0
Encoding: UTF-8
URL: https://macro.r-sassy.org, https://github.com/dbosak01/macro
BugReports: https://github.com/dbosak01/macro/issues
Depends: R (>= 4.0), common
Suggests: sassy, knitr, rmarkdown, testthat (>= 3.0.0), rstudioapi
Imports: fmtr, utils, crayon
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-22 11:42:00 UTC; dbosa
Author: David Bosak [aut, cre], Bill Huang [ctb], Duong Tran [ctb]
Maintainer: David Bosak <dbosak01@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-26 20:30:02 UTC

More information about macro at CRAN
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New package KWCChangepoint with initial version 0.2.3
Package: KWCChangepoint
Title: Robust Changepoint Detection for Functional and Multivariate Data
Version: 0.2.3
Description: Detect and test for changes in covariance structures of functional data, as well as changepoint detection for multivariate data more generally. Method for detecting non-stationarity in resting state functional Magnetic Resonance Imaging (fMRI) scans as seen in Ramsay, K., & Chenouri, S. (2025) <doi:10.1080/10485252.2025.2503891> is implemented in fmri_changepoints(). Also includes depth- and rank-based implementation of the wild binary segmentation algorithm for detecting multiple changepoints in multivariate data.
License: MIT + file LICENSE
URL: https://github.com/adeeb99/KWCChangepoint, https://adeeb99.github.io/KWCChangepoint/
BugReports: https://github.com/adeeb99/KWCChangepoint/issues
Depends: R (>= 4.1)
Encoding: UTF-8
Imports: ddalpha, fda.usc, tibble, Rcpp (>= 1.0.12)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0)
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2025-11-23 00:19:01 UTC; adeeb
Author: Adeeb Rouhani [aut, cre, cph] , Kelly Ramsay [aut]
Maintainer: Adeeb Rouhani <adeeb.rouhani@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-26 20:50:02 UTC

More information about KWCChangepoint at CRAN
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New package kuzuR with initial version 0.2.3
Package: kuzuR
Title: Interface to 'kuzu' Graph Database
Version: 0.2.3
Maintainer: Manuel Wick-Eckl <manuel.wick@gmail.com>
Description: Provides a high-performance 'R' interface to the 'kuzu' graph database. It uses the 'reticulate' package to wrap the official 'Python' client ('kuzu', 'pandas', and 'networkx'), allowing users to interact with 'kuzu' seamlessly from within 'R'. Key features include managing database connections, executing 'Cypher' queries, and efficiently loading data from 'R' data frames. It also provides seamless integration with the 'R' ecosystem by converting query results directly into popular 'R' data structures, including 'tibble', 'igraph', 'tidygraph', and 'g6R' objects, making 'kuzu's powerful graph computation capabilities readily available for data analysis and visualization workflows in 'R'. The 'kuzu' documentation can be found at <https://kuzudb.github.io/docs/>.
URL: https://github.com/WickM/kuzuR, https://wickm.github.io/kuzuR/
BugReports: https://github.com/WickM/kuzuR/issues
License: MIT + file LICENSE
Imports: reticulate, igraph, tibble, tidygraph
Suggests: g6R, jsonlite, testthat (>= 3.0.0), knitr, rmarkdown, spelling, arrow
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-11-22 09:38:54 UTC; krist
Author: Manuel Wick-Eckl [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-26 20:30:07 UTC

More information about kuzuR at CRAN
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New package RPesto with initial version 0.1.4
Package: RPesto
Title: Phylogenetic Estimation of Shifts in the Tempo of Origination
Version: 0.1.4
Description: Implements diversification analyses using the phylogenetic birth-death-shift model. It leverages belief propagation techniques to calculate branch-specific diversification rates, see Kopperud & Hoehna (2025) <doi:10.1093/sysbio/syaf041>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: tidytree, treeio, ape
SystemRequirements: Cargo (Rust's package manager), rustc
Depends: R (>= 4.2)
NeedsCompilation: yes
Packaged: 2025-11-21 10:49:56 UTC; bkopper
Author: Bjoern Tore Kopperud [aut, cre], Sebastian Hoehna [aut]
Maintainer: Bjoern Tore Kopperud <kopperud@protonmail.com>
Repository: CRAN
Date/Publication: 2025-11-26 14:00:02 UTC

More information about RPesto at CRAN
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New package pmxNODE with initial version 0.1.0
Package: pmxNODE
Title: Application of NODEs in 'Monolix', 'NONMEM', and 'nlmixr2'
Version: 0.1.0
Description: An easy-to-use tool for implementing Neural Ordinary Differential Equations (NODEs) in pharmacometric software such as 'Monolix', 'NONMEM', and 'nlmixr2', see Bräm et al. (2024) <doi:10.1007/s10928-023-09886-4> and Bräm et al. (2025) <doi:10.1002/psp4.13265>. The main functionality is to automatically generate structural model code describing computations within a neural network. Additionally, parameters and software settings can be initialized automatically. For using these additional functionalities with 'Monolix', 'pmxNODE' interfaces with 'MonolixSuite' via the 'lixoftConnectors' package. The 'lixoftConnectors' package is distributed with 'MonolixSuite' (<https://monolixsuite.slp-software.com/r-functions/2024R1/package-lixoftconnectors>) and is not available from public repositories.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: rxode2, nlmixr2, lixoftConnectors, withr, testthat (>= 3.0.0), knitr, rmarkdown
Imports: tidyr, ggplot2, checkmate
BugReports: https://github.com/braemd/pmxNODE/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-19 13:00:17 UTC; BraemD
Author: Dominic Braem [aut, cre] , Bernhard Steiert [ctb], Gilbert Koch [ctb], Matthew Fidler [ctb]
Maintainer: Dominic Braem <domi.braem@hotmail.com>
Repository: CRAN
Date/Publication: 2025-11-26 09:20:02 UTC

More information about pmxNODE at CRAN
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New package flassomsm with initial version 0.1.0
Package: flassomsm
Title: Penalized Estimation for Multi-State Models with Lasso and Fused Penalties
Version: 0.1.0
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
Description: Provides a suite of methods for detecting influential subjects in longitudinal datasets, particularly when observations occur at irregular time points. The methods identify individuals whose response trajectories deviate significantly from the population pattern, enabling detection of anomalies or subjects exerting undue influence on model outcomes.
Imports: dplyr, corpcor, future, future.apply, glmnet, mstate,numDeriv, penalized, progress, progressr, survival
Suggests: ggplot2, rlang, mice
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-11-05 04:56:53 UTC; ABHIPSA TRIPATHY
Author: Atanu Bhattacharjee [aut, cre, ctb], Gajendra Kumar Vishwakarma [aut, ctb], Abhipsa Tripathy [aut, ctb]
Repository: CRAN
Date/Publication: 2025-11-26 09:30:02 UTC

More information about flassomsm at CRAN
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Tue, 25 Nov 2025

New package flexBCF with initial version 1.0.2
Package: flexBCF
Title: Fast & Flexible Implementation of Bayesian Causal Forests
Version: 1.0.2
Date: 2025-11-21
Description: A faster implementation of Bayesian Causal Forests (BCF; Hahn et al. (2020) <doi:10.1214/19-BA1195>), which uses regression tree ensembles to estimate the conditional average treatment effect of a binary treatment on a scalar output as a function of many covariates. This implementation avoids many redundant computations and memory allocations present in the original BCF implementation, allowing the model to be fit to larger datasets. The implementation was originally developed for the 2022 American Causal Inference Conference's Data Challenge. See Kokandakar et al. (2023) <doi:10.1353/obs.2023.0024> for more details.
License: GPL (>= 3)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp
URL: https://github.com/skdeshpande91/flexBCF
NeedsCompilation: yes
Packaged: 2025-11-21 21:10:40 UTC; sameer
Author: Sameer K. Deshpande [aut, cre] , Ajinkya H. Kokandakar [aut]
Maintainer: Sameer K. Deshpande <sameer.deshpande@wisc.edu>
Repository: CRAN
Date/Publication: 2025-11-25 21:02:05 UTC

More information about flexBCF at CRAN
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New package specleanr with initial version 1.0.0
Package: specleanr
Title: Detecting Environmental Outliers in Data Analysis Pipelines
Version: 1.0.0
Description: A framework used to detect and handle outliers during data analysis workflows. Outlier detection is a statistical concept with applications in data analysis workflows, highlighting records that are suspiciously high or low. Outlier detection in distribution models was initiated by Chapman (1991) (available at <https://www.researchgate.net/publication/332537800_Quality_control_and_validation_of_point-sourced_environmental_resource_data>), who developed the reverse jackknifing method. The concept was further developed and incorporated into different R packages, including 'flexsdm' (Velazco et al., 2022, <doi:10.1111/2041-210X.13874>) and 'biogeo' (Robertson et al., 2016 <doi:10.1111/ecog.02118>). We compiled various outlier detection methods obtained from the literature, including those elaborated in Dastjerdy et al. (2023) <doi:10.3390/geotechnics3020022> and Liu et al. (2008) <doi:10.1109/ICDM.2008.17>. In this package, we introduced the ensembling aspect, [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://anthonybasooma.github.io/specleanr/
BugReports: https://github.com/AnthonyBasooma/specleanr/issues
Suggests: dplyr, knitr, rmarkdown, testthat (>= 3.0.0), ggplot2, ggpmisc, tibble, rinat, rvertnet, rgbif, curl, rfishbase (>= 5.0.1), sf, terra, tidytext, scatterplot3d
VignetteBuilder: knitr
Imports: cluster, dbscan, e1071, isotree, methods, utils, robust, robustbase, usdm, mgcv
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-11-20 19:10:56 UTC; anthbasooma
Author: Anthony Basooma [aut, cre] , Thomas Hein [ctb, fnd, ths] , Astrid Schmidt-Kloiber [ctb, fnd, dtc] , Merret Buurman [ctb], Sami Domisch [ctb], Martin Tschikof [ctb], Florian Borgwardt [ctb, fnd]
Maintainer: Anthony Basooma <anthony.basooma@boku.ac.at>
Repository: CRAN
Date/Publication: 2025-11-25 20:20:02 UTC

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New package SelectBoost.gamlss with initial version 0.2.2
Package: SelectBoost.gamlss
Title: Stability-Selection via Correlated Resampling for 'GAMLSS' Models
Version: 0.2.2
Date: 2025-11-20
Depends: R (>= 4.1.0)
Imports: gamlss, Rcpp, rlang, SelectBoost, stats, utils
Suggests: doParallel, foreach, future, future.apply, gamlss.data, gamlss.dist, ggplot2, glmnet, grpreg, knitr, knockoff, MASS, microbenchmark, nlme, parallel, pkgdown, pscl, rmarkdown, SGL, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
Author: Frederic Bertrand [cre, aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Extends the 'SelectBoost' approach to Generalized Additive Models for Location, Scale and Shape (GAMLSS). Implements bootstrap stability-selection across parameter-specific formulas (mu, sigma, nu, tau) via gamlss::stepGAIC(). Includes optional standardization of predictors and helper functions for corrected AIC calculation. More details can be found in Bertrand and Maumy (2024) <https://hal.science/hal-05352041> that highlights correlation-aware resampling to improve variable selection for GAMLSS and quantile regression when predictors are numerous and highly correlated.
License: GPL-3
Encoding: UTF-8
Classification/MSC: 62H11, 62J12, 62J99
LazyData: true
VignetteBuilder: knitr
URL: https://fbertran.github.io/SelectBoost.gamlss/, https://github.com/fbertran/SelectBoost.gamlss
BugReports: https://github.com/fbertran/SelectBoost.gamlss/issues
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2025-11-21 00:44:35 UTC; bertran7
Repository: CRAN
Date/Publication: 2025-11-25 20:22:11 UTC

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New package organik with initial version 1.0.0
Package: organik
Title: Multi-Horizon Probabilistic Ensemble with Copulas for Time Series Forecasting
Version: 1.0.0
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>
Description: Trains per-horizon probabilistic ensembles from a univariate time series. It supports 'rpart', 'glmnet', and 'kNN' engines with flexible residual distributions and heteroscedastic scale models, weighting variants by calibration-aware scores. A Gaussian/t copula couples the marginals to simulate joint forecast paths, returning quantiles, means, and step increments across horizons.
License: GPL-3
Imports: rpart (>= 4.1.24), glmnet (>= 4.1-10), Matrix (>= 1.7-3), MASS (>= 7.3-65), imputeTS (>= 3.4)
Encoding: UTF-8
URL: https://rpubs.com/giancarlo_vercellino/organik
Suggests: knitr, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-11-21 13:36:54 UTC; gianc
Author: Giancarlo Vercellino [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-11-25 20:50:02 UTC

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New package mangoro with initial version 0.2.6
Package: mangoro
Title: 'R'/'Go' 'IPC' using 'Nanomsg' Next Gen
Version: 0.2.6
Copyright: See inst/AUTHORS
Description: The tools provide an interface for inter-process communication ('IPC') between 'R' and 'Go' using the 'Nanomsg' library. It vendors on the 'Go' side the 'mangos' library <https://github.com/nanomsg/mangos> and 'arrow-go' <https://github.com/apache/arrow-go> and uses 'nanonext' and 'nanoarrow' on the 'R' side.
License: GPL-3
Depends: R (>= 4.4.0)
Imports: nanonext, nanoarrow, jsonlite
Suggests: processx
SystemRequirements: Go (https://golang.org), GNU make
URL: https://github.com/sounkou-bioinfo/mangoro, https://sounkou-bioinfo.github.io/mangoro/
BugReports: https://github.com/sounkou-bioinfo/mangoro/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-21 16:41:41 UTC; sounkoutoure
Author: Sounkou Mahamane Toure [aut, cre], Mangos contributors [cph], The Go Authors [cph], Apache Arrow Project [cph]
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-25 20:52:10 UTC

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New package iglm with initial version 1.0
Package: iglm
Title: Regression under Network Interference
Version: 1.0
Date: 2025-11-09
Description: An implementation of generalized linear models (GLMs) for studying relationships among attributes in connected populations, where responses of connected units can be dependent, as introduced by Fritz et al. (2025) <doi:10.1080/01621459.2025.2565851>. 'igml' extends GLMs for independent responses to dependent responses and can be used for studying spillover in connected populations and other network-mediated phenomena.
License: GPL-3
Imports: Rcpp (>= 1.0.8), R6, MASS, RcppArmadillo, Matrix, parallel, methods, coda, igraph
Suggests: rmarkdown, knitr, testthat
Depends: RcppProgress, R (>= 3.5.0)
LinkingTo: Rcpp, RcppProgress, RcppArmadillo, Matrix
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2025-11-21 13:46:59 UTC; corneliusfritz
Author: Cornelius Fritz [aut, cre], Michael Schweinberger [aut]
Maintainer: Cornelius Fritz <corneliusfritz2010@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-25 20:52:16 UTC

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New package diversityArch with initial version 0.1.0
Package: diversityArch
Title: Computes Diversity Indices with Archaeological Data
Version: 0.1.0
Description: Companion package of Arnaud Barat, Andreu Sansó, Maite Arilla-Osuna, Ruth Blasco, Iñaki Pérez-Fernández, Gabriel Cifuentes-Alcobenda, Rubén Llorente, Daniel Vivar-Ríos, Ella Assaf, Ran Barkai, Avi Gopher, & Jordi Rosell-Ardèvol (2025), "Quantifying Diversity through Entropy Decomposition. Insights into Hominin Occupation and Carcass Processing at Qesem cave".
License: GPL-2
Imports: methods
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-21 12:26:42 UTC; HP
Author: Andreu Sanso [aut, cre], Arnaud Barat [aut], Jordi Rosell [aut]
Maintainer: Andreu Sanso <andreu.sanso@uib.eu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-11-25 20:42:09 UTC

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New package cayleyR with initial version 0.1.0
Package: cayleyR
Title: Cayley Graph Analysis for Permutation Puzzles
Version: 0.1.0
Description: Implements algorithms for analyzing Cayley graphs of permutation groups, with a focus on the TopSpin puzzle and similar permutation-based combinatorial puzzles. Provides methods for cycle detection, state space exploration, and finding optimal operation sequences in permutation groups generated by shift and reverse operations.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: digest
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/Zabis13/cayleyR
BugReports: https://github.com/Zabis13/cayleyR/issues
NeedsCompilation: no
Packaged: 2025-11-21 10:57:54 UTC; yuri
Author: Yuri Baramykov [aut, cre]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>
Repository: CRAN
Date/Publication: 2025-11-25 20:42:14 UTC

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New package r5rgui with initial version 0.1.0
Package: r5rgui
Title: Graphical User Interface for 'r5r' Router
Version: 0.1.0
Description: Interactively build and explore public transit routes with 'r5r' package via a graphical user interface in a 'shiny' app. The underlying routing methods are described in Pereira et al. (2021) <doi:10.32866/001c.21262>.
License: MIT + file LICENSE
URL: https://github.com/e-kotov/r5rgui, https://www.ekotov.pro/r5rgui/
BugReports: https://github.com/e-kotov/r5rgui/issues
Imports: DT, mapgl, r5r, sf, shiny
Suggests: mockery, quarto, rlang, shinytest2, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en
NeedsCompilation: no
Packaged: 2025-11-20 23:13:18 UTC; ek
Author: Egor Kotov [aut, cre, cph]
Maintainer: Egor Kotov <kotov.egor@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-25 07:50:02 UTC

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New package BLSloadR with initial version 0.2
Package: BLSloadR
Title: Download Time Series Data from the U.S. Bureau of Labor Statistics
Version: 0.2
Description: These functions provide a convenient interface for downloading data from the U.S. Bureau of Labor Statistics <https://www.bls.gov>. The functions in this package utilize flat files produced by the Bureau of Labor Statistics, which contain full series history. These files include employment, unemployment, wages, prices, industry and occupational data at a national, state, and sub-state level, depending on the series. Individual functions are included for those programs which have data available at the state level. The core functions provide direct access to the Current Employment Statistics (CES) <https://www.bls.gov/ces/>, Local Area Unemployment Statistics (LAUS) <https://www.bls.gov/lau/>, Occupational Employment and Wage Statistics (OEWS) <https://www.bls.gov/oes/> and Alternative Measures of Labor Underutilization (SALT) <https://www.bls.gov/lau/stalt.htm> data produced by the Bureau of Labor Statistics.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: data.table (>= 1.16), httr (>= 1.4.7), dplyr (>= 1.1), stringr (>= 1.5), lubridate (>= 1.9), rvest (>= 1.0.4), readxl (>= 1.4.5), sf (>= 1.0), tidyselect (>= 1.2), tigris (>= 2.0), zoo (>= 1.8), htmltools, rstudioapi
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://schmidtdetr.github.io/BLSloadR/
NeedsCompilation: no
Packaged: 2025-11-20 22:02:19 UTC; deschmidt
Author: Nevada Department of Employment, Training, and Rehabilitation [cph], David Schmidt [aut, cre]
Maintainer: David Schmidt <deschmidt@detr.nv.gov>
Repository: CRAN
Date/Publication: 2025-11-25 07:20:02 UTC

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New package mrap with initial version 1.0.0
Package: mrap
Title: Machine-Readable Data Analysis Results with Function Wrappers
Version: 1.0.0
Description: You can use the set of wrappers for analytical schemata to reduce the effort in writing machine-readable data. The set of all-in-one wrappers will cover widely used functions from data analysis packages.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://gitlab.com/TIBHannover/lki/knowledge-loom/mrap-r
BugReports: https://gitlab.com/TIBHannover/lki/knowledge-loom/mrap-r/-/issues
Imports: dtreg, jsonlite, stringr
Suggests: knitr, lme4, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-20 17:43:48 UTC; LezhninaO
Author: Olga Lezhnina [aut, cre] , Manuel Prinz [aut] , Markus Stocker [aut] , Open Research Knowledge Graph Project and Contributors [cph]
Maintainer: Olga Lezhnina <olga.lezhnina@tib.eu>
Repository: CRAN
Date/Publication: 2025-11-25 07:00:08 UTC

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Mon, 24 Nov 2025

New package poisonfrogs with initial version 1.0.2
Package: poisonfrogs
Title: Color Palettes Inspired by Neotropical Poison Frogs
Version: 1.0.2
Description: A collection of color palettes inspired by the enormous diversity of skin colors in Neotropical poison frog species. Suitable for use with 'ggplot2' and base R graphics.
URL: https://laurenoconnelllab.github.io/poisonfrogs/
BugReports: https://github.com/laurenoconnelllab/poisonfrogs/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: ggplot2 (>= 3.4.0), lifecycle, rlang
Suggests: testthat (>= 3.0.0), gapminder, ggridges, scales, tibble
NeedsCompilation: no
Packaged: 2025-11-20 16:33:13 UTC; camilorodriguezlopez
Author: Camilo Rodriguez [aut, cre], Lauren O'Connell [aut]
Maintainer: Camilo Rodriguez <camo.rodriguez@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-24 18:30:02 UTC

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New package MaddisonData with initial version 1.0.2
Package: MaddisonData
Title: Maddison Project Data
Version: 1.0.2
Date: 2025-11-20
Description: Relatively easy access is provided to Maddison project data, which collates all the credible data on population and GDP for 169 countries, with some dating back to the year 1. 'MaddisonLeaders' makes it easy to find the leaders for each year, allowing users to delete countries like OPEC with narrow economies to focus on the technology leaders. 'ggplotPath' makes it easy to plot data for only selected countries or years.
License: MIT + file LICENSE
URL: https://github.com/sbgraves237/MaddisonData
BugReports: https://github.com/sbgraves237/MaddisonData/issues
Depends: R (>= 4.1)
Suggests: ggplot2, ipumsr, KFAS, knitr, lubridate, readxl, rmarkdown, testthat (>= 3.0.0), tibble, usethis
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-11-20 13:47:13 UTC; sg
Author: Spencer Graves [aut, cre]
Maintainer: Spencer Graves <spencer.graves@effectivedefense.org>
Repository: CRAN
Date/Publication: 2025-11-24 18:10:08 UTC

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New package traktok with initial version 0.1.0
Package: traktok
Title: Collecting 'TikTok' Data
Version: 0.1.0
Description: Getting 'TikTok' data (<https://www.tiktok.com/>) through the official and unofficial APIs—in other words, you can track 'TikTok'.
License: GPL (>= 3)
Depends: R (>= 4.2.0)
Imports: askpass, cli, cookiemonster, curl, dplyr, glue, httr2, jsonlite, lobstr, methods, openssl, purrr, rlang, rvest, stats, tibble
Suggests: covr, knitr, rmarkdown, spelling, testthat (>= 3.0.0)
URL: https://github.com/JBGruber/traktok, https://jbgruber.github.io/traktok/
BugReports: https://github.com/JBGruber/traktok/issues
Encoding: UTF-8
Language: en-GB
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-20 10:37:04 UTC; johannes
Author: Johannes B. Gruber [aut, cre]
Maintainer: Johannes B. Gruber <JohannesB.Gruber@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-24 18:00:02 UTC

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New package timechecker with initial version 1.1.5
Package: timechecker
Title: Visualization of Processing Time with Standard Output
Version: 1.1.5
Description: Displays processing time in a clear and structured way. One function supports iterative workflows by predicting and showing the total time required, while another reports the time taken for individual steps within a process.
License: GPL-3
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-20 05:25:28 UTC; today033
Author: Toda Yusuke [aut, cre]
Maintainer: Toda Yusuke <yusuke0320.research@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-24 17:50:02 UTC

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New package autotab with initial version 0.1.1
Package: autotab
Title: Variational Autoencoders for Heterogeneous Tabular Data
Version: 0.1.1
Description: Build and train a variational autoencoder (VAE) for mixed-type tabular data (continuous, binary, categorical). Models are implemented using 'TensorFlow' and 'Keras' via the 'reticulate' interface, enabling reproducible VAE training for heterogeneous tabular datasets.
License: MIT + file LICENSE
URL: https://github.com/SarahMilligan-hub/AutoTab
BugReports: https://github.com/SarahMilligan-hub/AutoTab/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: keras, magrittr, R6, reticulate, tensorflow
Suggests: caret
SystemRequirements: Python (>= 3.8); TensorFlow (>= 2.10); Keras; TensorFlow Addons
NeedsCompilation: no
Packaged: 2025-11-20 04:25:56 UTC; smill
Author: Sarah Milligan [aut, cre]
Maintainer: Sarah Milligan <slm1999@bu.edu>
Repository: CRAN
Date/Publication: 2025-11-24 17:40:08 UTC

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New package raptools with initial version 1.22.0
Package: raptools
Title: Risk Assessment Plot and Reclassification Metrics
Version: 1.22.0
Description: Assessing the comparative performance of two logistic regression models or results of such models or classification models. Discrimination metrics include Integrated Discrimination Improvement (IDI), Net Reclassification Improvement (NRI), and difference in Area Under the Curves (AUCs), Brier scores and Brier skill. Plots include Risk Assessment Plots, Decision curves and Calibration plots. Methods are described in Pickering and Endre (2012) <doi:10.1373/clinchem.2011.167965> and Pencina et al. (2008) <doi:10.1002/sim.2929>.
Depends: R (>= 4.1.0)
Imports: rms, Hmisc, dplyr, ggplot2, pROC, stats, tidyr, forcats, pracma, ggrepel
License: GPL-3
LazyData: true
LazyLoad: true
Encoding: UTF-8
Suggests:
URL: https://github.com/Researchverse/raptools, https://researchverse.github.io/raptools/
BugReports: https://github.com/Researchverse/raptools/issues
NeedsCompilation: no
Packaged: 2025-11-19 22:06:34 UTC; danielperez
Author: John W Pickering [aut], Dimitrios Doudesis [aut], Daniel Perez Vicencio [cre]
Maintainer: Daniel Perez Vicencio <dvicencio947@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-24 09:50:02 UTC

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New package QuanDA with initial version 1.0.0
Package: QuanDA
Title: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification
Version: 1.0.0
Description: Implements quantile-based discriminant analysis (QuanDA) for imbalanced classification in high-dimensional, low-sample-size settings. The method fits penalized quantile regression directly on discrete class labels and tunes the quantile level to reflect class imbalance.
Depends: R (>= 3.5.0)
Imports: hdqr, pROC, stats, methods
License: GPL-2
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2025-11-18 22:10:57 UTC; qtang7
Author: Qian Tang [aut, cre], Yuwen Gu [aut], Boxiang Wang [aut]
Maintainer: Qian Tang <tang1015@umn.edu>
Repository: CRAN
Date/Publication: 2025-11-24 09:10:02 UTC

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New package openholidaysR with initial version 0.1.0
Package: openholidaysR
Title: Provides Access to the 'OpenHolidays' API
Version: 0.1.0
Description: Provides dates for public and school holidays for a number of countries and their subdivisions through the 'OpenHolidays' API at <https://www.openholidaysapi.org/en/>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en
Suggests: testthat (>= 3.0.0)
Imports: httr2
URL: https://github.com/jfeldhege/openholidaysR, http://www.johannesfeldhege.de/openholidaysR/
BugReports: https://github.com/jfeldhege/openholidaysR/issues
Depends: R (>= 4.1)
NeedsCompilation: no
Packaged: 2025-11-19 20:31:53 UTC; Johannes
Author: Johannes Feldhege [aut, cre, cph]
Maintainer: Johannes Feldhege <mail@johannesfeldhege.de>
Repository: CRAN
Date/Publication: 2025-11-24 09:40:02 UTC

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New package NoSleepR with initial version 0.2.0
Package: NoSleepR
Title: Prevent System Sleep During Long R Tasks
Version: 0.2.0
Description: Provides a cross-platform interface to prevent the operating system from going to sleep while long-running R tasks are executing.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
BugReports: https://github.com/hetalang/NoSleepR/issues
URL: https://github.com/hetalang/NoSleepR
Depends: R (>= 3.5.0)
NeedsCompilation: yes
Packaged: 2025-11-19 19:03:10 UTC; evgen
Author: Evgeny Metelkin [aut, cre]
Maintainer: Evgeny Metelkin <evgeny.metelkin@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-24 09:40:12 UTC

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New package finto with initial version 0.1.1
Package: finto
Title: Access the 'Finto' API
Version: 0.1.1
Date: 2025-10-29
Maintainer: Akewak Jeba <akjeba@utu.fi>
Description: Access and retrieve vocabulary data 'Finto' API <https://api.finto.fi/>, which is a centralized service for interoperable thesauri, ontology and classification schemes for different subject areas.
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
Imports: tibble, httr, dplyr, jsonlite, tidyr, stringr, purrr
Suggests: testthat (>= 3.0.0), rmarkdown, knitr
URL: https://fennicahub.github.io/finto/
BugReports: https://github.com/fennicahub/finto/issues
VignetteBuilder: knitr
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-11-19 15:14:17 UTC; akasia
Author: Akewak Jeba [aut, cre] , Leo Lahti [aut]
Repository: CRAN
Date/Publication: 2025-11-24 09:30:17 UTC

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New package dcmstan with initial version 0.1.0
Package: dcmstan
Title: Generate 'Stan' Code for Diagnostic Classification Models
Version: 0.1.0
Description: Diagnostic classification models are psychometric models used to categorically estimate respondents mastery, or proficiency, on a set of predefined skills (Bradshaw, 2016, <doi:10.1002/9781118956588.ch13>). Diagnostic models can be estimated with 'Stan'; however, the necessary scripts can be long and complicated. This package automates the creation of 'Stan' scripts for diagnostic classification models. Specify different types of diagnostic models, define prior distributions, and automatically generate the necessary 'Stan' code for estimating the model.
License: MIT + file LICENSE
URL: https://dcmstan.r-dcm.org, https://github.com/r-dcm/dcmstan
BugReports: https://github.com/r-dcm/dcmstan/issues
Depends: R (>= 4.3.0)
Imports: cli, dagitty, dplyr, ggdag, glue, lifecycle, rdcmchecks, rlang (>= 1.1.0), S7, tibble, tidyr
Suggests: cmdstanr, dcmdata, knitr, rmarkdown, spelling, testthat (>= 3.0.0), withr
Additional_repositories: https://stan-dev.r-universe.dev
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-19 01:12:20 UTC; jakethompson
Author: W. Jake Thompson [aut, cre] , Jeffrey Hoover [aut] , Auburn Jimenez [aut] , University of Kansas [cph], Institute of Education Sciences [fnd]
Maintainer: W. Jake Thompson <wjakethompson@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-24 09:20:02 UTC

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New package bfcluster with initial version 1.0.0
Package: bfcluster
Title: Buttler-Fickel Distance and R2 for Mixed-Scale Cluster Analysis
Version: 1.0.0
Description: Implements the distance measure for mixed-scale variables proposed by Buttler and Fickel (1995), based on normalized mean pairwise distances (Gini mean difference), and an R2 statistic to assess clustering quality.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
NeedsCompilation: no
Packaged: 2025-11-19 10:49:18 UTC; pozu85qe
Author: Moritz Schaefer [aut, cre]
Maintainer: Moritz Schaefer <moritz1.schaefer@uni-a.de>
Repository: CRAN
Date/Publication: 2025-11-24 09:30:22 UTC

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New package nomisdata with initial version 0.1.0
Package: nomisdata
Title: Access 'Nomis' UK Labour Market Data and Statistics
Version: 0.1.0
Description: Interface to the 'Nomis' database (<https://www.nomisweb.co.uk>), a comprehensive resource of United Kingdom labour market statistics provided by the Office for National Statistics (ONS). Facilitates programmatic access to census data, labour force surveys, benefit statistics, and socioeconomic indicators through a modern HTTP client with intelligent caching, automatic query pagination, and tidy data principles. Includes spatial data integration, interactive helpers, and visualization utilities. Independent implementation unaffiliated with ONS or Durham University.
License: MIT + file LICENSE
URL: https://github.com/cherylisabella/nomisdata
BugReports: https://github.com/cherylisabella/nomisdata/issues
Imports: cli (>= 3.6.0), dplyr (>= 1.1.0), httr2 (>= 1.0.0), jsonlite (>= 1.8.0), rlang (>= 1.1.0), tibble (>= 3.2.0), utils, digest, methods
Suggests: cachem (>= 1.0.0), ggplot2 (>= 3.4.0), janitor (>= 2.2.0), knitr (>= 1.42), memoise (>= 2.0.0), rappdirs (>= 0.3.0), readr (>= 2.1.0), rmarkdown (>= 2.20), rsdmx (>= 0.6.0), scales (>= 1.2.0), sf (>= 1.0.0), testthat (>= 3.1.0), vcr (>= 1.2.0), withr (>= 2.5.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
LazyData: true
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-11-18 19:53:45 UTC; Isabella
Author: Cheryl Isabella Lim [aut, cre]
Maintainer: Cheryl Isabella Lim <cheryl.academic@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-24 09:00:02 UTC

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New package mmcmcBayes with initial version 0.1.0
Package: mmcmcBayes
Title: Multistage MCMC Method for Detecting DMRs
Version: 0.1.0
Description: Implements a multi-stage MCMC Bayesian framework for detecting differentially methylated regions (DMRs) in epigenetic data. It uses Bayesian inference with Alpha-Skew Generalized Normal (ASGN) model and support Bayes Factor or Anderson-Darling Test for region selection. The methodology is based on Yang (2025) <https://www.proquest.com/docview/3218878972>.
License: GPL-3
URL: https://github.com/zyang1919/mmcmcBayes
BugReports: https://github.com/zyang1919/mmcmcBayes/issues
Depends: R (>= 4.0.0)
Imports: MCMCpack (>= 1.4-0)
Suggests: kSamples, testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2025-11-18 18:29:49 UTC; zky5198
Author: Zhexuan Yang [aut, cre], Duchwan Ryu [aut], Feng Luan [aut]
Maintainer: Zhexuan Yang <zky5198@psu.edu>
Repository: CRAN
Date/Publication: 2025-11-24 08:50:13 UTC

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Fri, 21 Nov 2025

New package McMiso with initial version 0.1.2
Package: McMiso
Title: Multicore Multivariable Isotonic Regression
Version: 0.1.2
Description: The goal of 'McMiso' is to provide functions for isotonic regression when there are multiple independent variables. The functions solve the optimization problem using recursion and leverage parallel computing to improve speed, and are useful for situations with relatively large number of covariates. The estimation method follows the projective Bayes solution described in Cheung and Diaz (2023) <doi:10.1093/jrsssb/qkad014>.
Depends: R (>= 4.0.0)
Imports: dplyr, future (>= 1.33.0), stats
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-18 15:48:18 UTC; yingkuencheung
Author: Cheung Ken [aut, cre]
Maintainer: Cheung Ken <yc632@cumc.columbia.edu>
Repository: CRAN
Date/Publication: 2025-11-21 15:40:08 UTC

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New package estar with initial version 1.0-0
Package: estar
Title: Ecological Stability Metrics
Version: 1.0-0
Description: Standardises and facilitates the use of eleven established stability properties that have been used to assess systems’ responses to press or pulse disturbances at different ecological levels (e.g. population, community). There are two sets of functions. The first set corresponds to functions that measure stability at any level of organisation, from individual to community and can be applied to a time series of a system’s state variables (e.g., body mass, population abundance, or species diversity). The properties included in this set are: invariability, resistance, extent and rate of recovery, persistence, and overall ecological vulnerability. The second set of functions can be applied to Jacobian matrices. The functions in this set measure the stability of a community at short and long time scales. In the short term, the community’s response is measured by maximal amplification, reactivity and initial resilience (i.e. initial rate of return to equilibrium). In the long term, stability [...truncated...]
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, Matrix, hesim, cowplot, viridis, forcats, tidyr, utils, MARSS, magrittr, dplyr, purrr, tibble, kableExtra
Depends: R (>= 4.1.0)
Imports: ggplot2, stats, vegan, zoo
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-18 14:45:46 UTC; fx97izoz
Author: Ludmilla Figueiredo [aut, cre] , Viktoriia Radchuk [aut] , Cedric Scherer [ctb]
Maintainer: Ludmilla Figueiredo <ludmilla.figueiredo@protonmail.com>
Repository: CRAN
Date/Publication: 2025-11-21 15:40:02 UTC

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New package ergm.sign with initial version 0.1.0
Package: ergm.sign
Title: Exponential-Family Models for Signed Networks
Version: 0.1.0
Description: Extends the 'ergm.multi' packages from the Statnet suite to fit (temporal) exponential-family random graph models for signed networks. The framework models positive and negative ties as interdependent, which allows estimation and testing of structural balance theory. The package also includes options for descriptive summaries, visualization, and simulation of signed networks. See Krivitsky, Koehly, and Marcum (2020) <doi:10.1007/s11336-020-09720-7> and Fritz, C., Mehrl, M., Thurner, P. W., & Kauermann, G. (2025) <doi:10.1017/pan.2024.21>.
Encoding: UTF-8
LazyData: true
LazyLoad: yes
Imports: statnet.common, network, ergm, ergm.multi, dplyr, magrittr, tergm, Rdpack, intergraph, graphlayouts, vegan, igraph, purrr, graphics, methods, utils
LinkingTo: ergm.multi, ergm
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
NeedsCompilation: yes
Packaged: 2025-11-18 15:09:06 UTC; mschalberger
Author: Marc Schalberger [cre], Cornelius Fritz [aut], Pavel Krivitsky [ctb]
Maintainer: Marc Schalberger <m.schalberger@fu-berlin.de>
Repository: CRAN
Date/Publication: 2025-11-21 15:20:02 UTC

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New package twoCoprimary with initial version 1.0.0
Package: twoCoprimary
Title: Sample Size and Power Calculation for Two Co-Primary Endpoints
Version: 1.0.0
Description: Comprehensive functions to calculate sample size and power for clinical trials with two co-primary endpoints. The package supports five endpoint combinations: two continuous endpoints (Sozu et al. 2011 <doi:10.1080/10543406.2011.551329>), two binary endpoints using asymptotic methods (Sozu et al. 2010 <doi:10.1002/sim.3972>) and exact methods (Homma and Yoshida 2025 <doi:10.1177/09622802251368697>), mixed continuous and binary endpoints (Sozu et al. 2012 <doi:10.1002/bimj.201100221>), and mixed count and continuous endpoints (Homma and Yoshida 2024 <doi:10.1002/pst.2337>). All methods appropriately account for correlation between endpoints and provide both sample size and power calculation capabilities.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: mvtnorm, pbivnorm, fpCompare, stats
Suggests: dplyr, knitr, rmarkdown, testthat (>= 3.0.0), tibble, tidyr, readr
VignetteBuilder: knitr
URL: https://gosukehommaex.github.io/twoCoprimary/, https://github.com/gosukehommaEX/twoCoprimary
BugReports: https://github.com/gosukehommaEX/twoCoprimary/issues
Language: en-US
NeedsCompilation: no
Packaged: 2025-11-18 10:18:05 UTC; i_lik
Author: Gosuke Homma [aut, cre]
Maintainer: Gosuke Homma <my.name.is.gosuke@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-21 14:50:02 UTC

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New package rupturesRcpp with initial version 1.0.0
Package: rupturesRcpp
Title: Object-Oriented Interface for Offline Change-Point Detection
Version: 1.0.0
Description: A collection of efficient implementations of popular offline change-point detection algorithm, featuring a consistent, object-oriented interface for practical use.
Encoding: UTF-8
License: CC BY 4.0
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, R6, ggplot2, patchwork, methods
Suggests: testthat (>= 3.0.0), reticulate, binsegRcpp
NeedsCompilation: yes
Packaged: 2025-11-18 12:22:28 UTC; edelweiss
Author: Minh Long Nguyen [aut, cre], Toby Hocking [aut], Charles Truong [aut]
Maintainer: Minh Long Nguyen <edelweiss611428@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-21 14:50:08 UTC

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New package rbranding with initial version 0.1.0
Package: rbranding
Title: Manage Branding and Accessibility of R Projects
Version: 0.1.0
Description: A tool for building projects that are visually consistent, accessible, and easy to maintain. It provides functions for managing branding assets, applying organization-wide themes using 'brand.yml', and setting up new projects with accessibility features and correct branding. It supports 'quarto', 'shiny', and 'rmarkdown' projects, and integrates with 'ggplot2'. The accessibility features are based on the Web Content Accessibility Guidelines <https://www.w3.org/WAI/WCAG22/quickref/?versions=2.1> and Accessible Rich Internet Applications (ARIA) specifications <https://www.w3.org/WAI/ARIA/apg/>. The branding framework implements the 'brand.yml' specification <https://posit-dev.github.io/brand-yml/>.
License: MIT + file LICENSE
URL: https://epiforesite.github.io/rbranding/, https://github.com/EpiForeSITE/rbranding
BugReports: https://github.com/EpiForeSITE/rbranding/issues
Imports: credentials, ggplot2, utils, yaml
Suggests: DT, grid, here, htmltools, knitr, leaflet, pkgdown, plotly, png, rmarkdown, shiny, showtext, sysfonts, thematic, tinytest
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-18 02:49:45 UTC; runner
Author: Willy Ray [aut, cre], Andrew Pulsipher [aut, ctb] , Centers for Disease Control and Prevention's Center for Forecasting and Outbreak Analytics [fnd]
Maintainer: Willy Ray <william.ray@hsc.utah.edu>
Repository: CRAN
Date/Publication: 2025-11-21 15:00:02 UTC

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New package pwlapprox2d with initial version 0.1.0
Package: pwlapprox2d
Title: Approximates Univariate Continuous Functions Through Piecewise Linear Regression
Version: 0.1.0
Description: Allows users to find a piecewise linear regression approximation to a given continuous univariate function within a specified error tolerance. Methods based on Warwicker and Rebennack (2025) "Efficient continuous piecewise linear regression for linearising univariate non-linear functions" <doi:10.1080/24725854.2023.2299809>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: nloptr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-18 10:17:04 UTC; alasd
Author: John Warwicker [aut, cre]
Maintainer: John Warwicker <john.warwicker@kit.edu>
Repository: CRAN
Date/Publication: 2025-11-21 14:50:13 UTC

More information about pwlapprox2d at CRAN
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New package igfetchr with initial version 0.1.0
Package: igfetchr
Title: Access the 'IG Trading REST API'
Version: 0.1.0
Maintainer: Saw Simeon <saw.s@ku.th>
Description: Provides functions to fetch market data, search historical prices, execute trades, and get account details from the 'IG Trading REST API' <https://labs.ig.com>. Returns tidy tibbles for easy analysis. Trading contracts for difference (CFDs), options and spread bets carries a high risk of losing money. This package is not financial or trading advice.
License: GPL-3
Encoding: UTF-8
Imports: httr, jsonlite, tibble, purrr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, lubridate, httptest
VignetteBuilder: knitr
URL: https://github.com/sawsimeon/igfetchr, https://sawsimeon.github.io/igfetchr/
BugReports: https://github.com/sawsimeon/igfetchr/issues
NeedsCompilation: no
Packaged: 2025-11-18 14:35:26 UTC; sawsimeon
Author: Saw Simeon [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-21 15:00:08 UTC

More information about igfetchr at CRAN
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New package abcel with initial version 1.0
Package: abcel
Title: Empirical Likelihood-Based Approximate Bayesian Computation
Version: 1.0
Description: Empirical likelihood-based approximate Bayesian Computation. Approximates the required posterior using empirical likelihood and estimated differential entropy. This is achieved without requiring any specification of the likelihood or estimating equations that connects the observations with the underlying parameters. The procedure is known to be posterior consistent. More details can be found in Chaudhuri, Ghosh, and Kim (2024) <doi:10.1002/SAM.11711>.
License: GPL-2
Encoding: UTF-8
Imports: MASS, emplik, methods, FNN, corpcor
NeedsCompilation: yes
Packaged: 2025-11-07 21:12:34 UTC; schaudhuri2
Author: Nicholas Chua [aut], Riddhimoy Ghosh [aut], Sanjay Chaudhuri [aut, cre]
Maintainer: Sanjay Chaudhuri <schaudhuri2@unl.edu>
Repository: CRAN
Date/Publication: 2025-11-21 14:40:02 UTC

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New package fourinarow with initial version 0.1.1
Package: fourinarow
Title: Play "Four in a Row"
Version: 0.1.1
Description: Play or simulate games of "Four in a Row" in the R console. This package is designed for educational purposes, encouraging users to write their own functions to play the game automatically. It contains a collection of built-in functions that play the game at various skill levels, for users to test their own functions against.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, quarto
VignetteBuilder: quarto
Depends: R (>= 3.5)
Imports: methods
NeedsCompilation: no
Packaged: 2025-11-18 04:17:10 UTC; kstreet
Author: Kelly Street [aut, cre]
Maintainer: Kelly Street <street.kelly@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-21 11:40:02 UTC

More information about fourinarow at CRAN
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New package econdatasets with initial version 0.1.0
Package: econdatasets
Title: Easily Download 'EconDataverse' Datasets
Version: 0.1.0
Description: The 'EconDataverse' is a universe of open-source packages to work seamlessly with economic data. This package is designed to make it easy to download selected datasets that are preprocessed by 'EconDataverse' packages and publicly hosted on 'Hugging Face'. Learn more about the 'EconDataverse' at <https://www.econdataverse.org>.
License: MIT + file LICENSE
Depends: R (>= 4.1)
Imports: arrow, cli, httr2, jsonlite
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
URL: https://tidy-intelligence.github.io/r-econdatasets/, https://github.com/tidy-intelligence/r-econdatasets
BugReports: https://github.com/tidy-intelligence/r-econdatasets/issues
NeedsCompilation: no
Packaged: 2025-11-17 21:55:57 UTC; krise
Author: Christoph Scheuch [aut, cre, cph]
Maintainer: Christoph Scheuch <christoph@tidy-intelligence.com>
Repository: CRAN
Date/Publication: 2025-11-21 11:30:02 UTC

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Thu, 20 Nov 2025

New package RastaRocket with initial version 1.0.0
Package: RastaRocket
Title: Rocket-Fast Clinical Research Reporting
Version: 1.0.0
Description: Description of the tables, both grouped and not grouped, with some associated data management actions, such as sorting the terms of the variables and deleting terms with zero numbers.
License: GPL (>= 3)
URL: https://github.com/biostatusmr/RastaRocket, https://biostatusmr.github.io/RastaRocket/
BugReports: https://github.com/biostatusmr/RastaRocket/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, tidyr, labelled, rlang, gtsummary, forcats, gt, cardx, glue, purrr, ggh4x, ggplot2, ggrepel, scales, viridis
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-17 15:47:55 UTC; fertet
Author: USMR CHU de Bordeaux [aut, cre], Valentine Renaudeau [aut], Marion Kret [aut], Matisse Decilap [aut], Sahardid Mohamed Houssein [aut], Thomas Ferte [aut]
Maintainer: USMR CHU de Bordeaux <astreinte.usmr@chu-bordeaux.fr>
Repository: CRAN
Date/Publication: 2025-11-20 16:00:02 UTC

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New package ifit with initial version 1.0.0
Package: ifit
Title: Simulation-Based Fitting of Parametric Models with Minimum Prior Information
Version: 1.0.0
Description: Implements an algorithm for fitting a generative model with an intractable likelihood using only box constraints on the parameters. The implemented algorithm consists of two phases. The first phase (global search) aims to identify the region containing the best solution, while the second phase (local search) refines this solution using a trust-region version of the Fisher scoring method to solve a quasi-likelihood equation. See Guido Masarotto (2025) <doi:10.48550/arXiv.2511.08180> for the details of the algorithm and supporting results.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, lpSolve, parallel, splines, stats, graphics
Suggests: lattice
Depends: R (>= 3.5.0)
LazyData: TRUE
NeedsCompilation: yes
Packaged: 2025-11-17 09:35:48 UTC; guido
Author: Guido Masarotto [aut, cre]
Maintainer: Guido Masarotto <guido.masarotto@unipd.it>
Repository: CRAN
Date/Publication: 2025-11-20 15:30:02 UTC

More information about ifit at CRAN
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New package evolution with initial version 0.0.1
Package: evolution
Title: A Client for 'Evolution Cloud API'
Date: 2025-11-17
Version: 0.0.1
Description: Provides an 'R' interface to the 'Evolution API' <https://evoapicloud.com>, enabling sending and receiving 'WhatsApp' messages directly from 'R'. Functions include sending text, images, documents, stickers, geographic locations, and interactive messages (lists). Also includes 'webhook' parsing utilities and channel health checks.
License: MIT + file LICENSE
URL: https://github.com/StrategicProjects/evolution/
BugReports: https://github.com/StrategicProjects/evolution/issues/
Depends: R (>= 4.2.0)
Imports: httr2 (>= 1.0.0), cli (>= 3.6.0), base64enc
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, pkgdown
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-17 13:06:46 UTC; leite
Author: Andre Leite [aut, cre], Hugo Vaconcelos [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2025-11-20 15:30:07 UTC

More information about evolution at CRAN
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New package scpropreg with initial version 1.0
Package: scpropreg
Title: Simplicially Constrained Regression Models for Proportions
Version: 1.0
Date: 2025-11-16
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: quadprog, Rfast, Rfast2
Description: Simplicially constrained regression models for proportions in both sides. The constraint is always that the betas are non-negative and sum to 1. References: Iverson S.J.., Field C., Bowen W.D. and Blanchard W. (2004) "Quantitative Fatty Acid Signature Analysis: A New Method of Estimating Predator Diets". Ecological Monographs, 74(2): 211-235. <doi:10.1890/02-4105>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-11-16 11:01:55 UTC; mtsag
Repository: CRAN
Date/Publication: 2025-11-20 14:40:01 UTC

More information about scpropreg at CRAN
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Wed, 19 Nov 2025

New package IBLM with initial version 1.0.1
Package: IBLM
Title: Interpretable Boosted Linear Models
Version: 1.0.1
Description: Implements Interpretable Boosted Linear Models (IBLMs). These combine a conventional generalized linear model (GLM) with a machine learning component, such as XGBoost. The package also provides tools within for explaining and analyzing these models. For more details see Gawlowski and Wang (2025) <https://ifoa-adswp.github.io/IBLM/reference/figures/iblm_paper.pdf>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: cli, dplyr, fastDummies, ggExtra, ggplot2, purrr, scales, statmod, stats, utils, withr, xgboost
Suggests: testthat (>= 3.0.0)
URL: https://ifoa-adswp.github.io/IBLM/, https://github.com/IFoA-ADSWP/IBLM
BugReports: https://github.com/IFoA-ADSWP/IBLM/issues
NeedsCompilation: no
Packaged: 2025-11-15 20:02:43 UTC; paulb
Author: Karol Gawlowski [aut, cre, cph], Paul Beard [aut]
Maintainer: Karol Gawlowski <Karol.Gawlowski@citystgeorges.ac.uk>
Repository: CRAN
Date/Publication: 2025-11-19 19:50:25 UTC

More information about IBLM at CRAN
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New package EcoCleanR with initial version 1.0.1
Package: EcoCleanR
Title: Automated and Controlled Extraction, Cleaning, and Processing of Occurrence Data for Generating Biogeographic Ranges of Marine Organisms
Version: 1.0.1
Description: Provides step-by-step automation for integrating biodiversity data from multiple online aggregators, merging and cleaning datasets while addressing challenges such as taxonomic inconsistencies, georeferencing issues, and spatial or environmental outliers. Includes functions to extract environmental data and to define the biogeographic ranges in which species are most likely to occur.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rgbif, robis, ridigbio, rmarkdown, testthat (>= 3.0.0)
Imports: dplyr, geodata, geosphere, ggplot2, mregions2, patchwork, rlang, sdmpredictors, sf, taxize, terra, tidyr
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-14 18:27:10 UTC; sonip
Author: Priyanka Soni [aut, cre] , Austin Hendy [aut], David Bottjer [aut], Vijay Barve [ctb]
Maintainer: Priyanka Soni <sonip@usc.edu>
Repository: CRAN
Date/Publication: 2025-11-19 19:30:02 UTC

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New package CensRegSMSN with initial version 0.0.1
Package: CensRegSMSN
Title: Censored Linear Regression Models under Heavy‑tailed Distributions
Version: 0.0.1
Maintainer: Yessenia Alvarez Gil <yessenia.alvarez@ufpe.br>
Description: Functions for fitting univariate linear regression models under Scale Mixtures of Skew-Normal (SMSN) distributions, considering left, right or interval censoring and missing responses. Estimation is performed via an EM-type algorithm. Includes selection criteria, sample generation and envelope. For details, see Gil, Y.A., Garay, A.M., and Lachos, V.H. (2025) <doi:10.1007/s10260-025-00797-x>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: mvtnorm, mnormt, cubature, ggplot2
NeedsCompilation: no
Packaged: 2025-11-15 02:01:56 UTC; Usuario
Author: Yessenia Alvarez Gil [aut, cre], Aldo M. Garay [aut], Victor H. Lachos [aut]
Repository: CRAN
Date/Publication: 2025-11-19 19:40:12 UTC

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New package agrobox with initial version 0.1.0
Package: agrobox
Title: Data Visualization and Statistical Tools for Agroindustrial Experiments
Version: 0.1.0
Maintainer: Joaquin Alejandro Salinas Angeles <joaquinsa03@gmail.com>
Description: Set of functions to create clear graphics and run common statistical analyses for agricultural experiments (ANOVA with post-hoc tests such as Tukey HSD and Duncan MRR, coefficient of variation, and simple power calculations), streamlining exploratory analysis and reporting. Functions build on 'ggplot2' and base 'stats' and follow methods widely used in agronomy (field trials, plant breeding). Key references include Tukey (1949) <doi:10.2307/3001913>, Duncan (1955) <doi:10.2307/3001478>, Cohen (1988, ISBN:9781138892899); see also 'agricolae' <https://CRAN.R-project.org/package=agricolae> and Wickham (2016, ISBN:9783319242750) for 'ggplot2'. Versión en español: Conjunto de funciones para generar gráficos claros y ejecutar análisis habituales en ensayos agrícolas (ANOVA con pruebas post-hoc como Tukey HSD y Duncan MRR, coeficiente de variación y cálculos simples de potencia), facilitando el análisis exploratorio y la elaboración de reportes. Los métodos implementados se [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en, es
Depends: R (>= 3.5.0)
Imports: dplyr, ggplot2, tidyr, stringr, agricolae, stats, pwr, rlang
Suggests: testthat (>= 3.0.0)
URL: https://github.com/Joa3aquin50/agrobox
BugReports: https://github.com/Joa3aquin50/agrobox/issues
NeedsCompilation: no
Packaged: 2025-11-15 01:39:16 UTC; JOAQUIN SALINAS
Author: Joaquin Alejandro Salinas Angeles [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-19 19:40:02 UTC

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New package sodaR with initial version 0.1.0
Package: sodaR
Title: Download or Upload 'Socrata' Data Sets
Description: Provides easier interaction with 'Socrata' open data portals <https://dev.socrata.com>. Users can provide a 'Socrata' data set resource URL, or a 'Socrata' Open Data API (SODA) web query, or a 'Socrata' "human-friendly" URL, returns an R data frame. Converts dates to 'POSIX' format and manages throttling by 'Socrata'. Users can upload data to 'Socrata' portals directly from R.
Version: 0.1.0
Date: 2025-11-08
Depends: R (>= 3.3.0)
Imports: httr (>= 1.0.0), jsonlite (>= 0.9.16), mime (>= 0.3), data.table (>= 1.10.0)
Suggests: testthat (>= 0.10.0), roxygen2 (>= 4.1.0), readr (>= 0.2.2), knitr, rmarkdown
License: MIT + file LICENSE
URL: https://github.com/JordanMPDS/sodaR
BugReports: https://github.com/JordanMPDS/sodaR/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-14 05:13:32 UTC; jordan
Author: Jordan Martinetti [aut, cre], Hugh Devlin [aut], Tom Schenk Jr [aut], Gene Leynes [ctb], Nick Lucius [ctb], John Malc [ctb], Mark Silverber [ctb], Peter Schmeideskamp [ctb]
Maintainer: Jordan Martinetti <jordan@jordanmartinetti.com>
Repository: CRAN
Date/Publication: 2025-11-19 19:00:02 UTC

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New package mappestRisk with initial version 0.1.2
Package: mappestRisk
Title: Create Maps Forecasting Risk of Pest Occurrence
Version: 0.1.2
Description: There are three different modules: (1) model fitting and selection using a set of the most commonly used equations describing developmental responses to temperature helped by already existing R packages ('rTPC') and nonlinear regression model functions from 'nls.multstart' (Padfield et al. 2021, <doi:10.1111/2041-210X.13585>), with visualization of model predictions to guide ecological criteria for model selection; (2) calculation of suitability thermal limits, which consist on a temperature interval delimiting the optimal performance zone or suitability; and (3) climatic data extraction and visualization inspired on previous research (Taylor et al. 2019, <doi:10.1111/1365-2664.13455>), with either exportable rasters, static map images or html, interactive maps.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/EcologyR/mappestRisk, https://ecologyr.github.io/mappestRisk/
BugReports: https://github.com/EcologyR/mappestRisk/issues
Depends: R (>= 4.3.0)
LazyData: true
Suggests: covr, leaflet, testthat (>= 3.0.0)
Imports: dplyr, geodata, ggplot2, khroma, nls.multstart, progress, purrr, rTPC, terra, tidyr
NeedsCompilation: no
Packaged: 2025-11-14 12:44:16 UTC; dario
Author: Dario San-Segundo Molina [aut, cre, cph] , A. Marcia Barbosa [aut, cph] , Antonio Jesus Perez-Luque [aut, cph] , Francisco Rodriguez-Sanchez [aut, cph]
Maintainer: Dario San-Segundo Molina <dario.ssm2@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-19 18:20:02 UTC

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New package fcall with initial version 0.1.5
Package: fcall
Title: Parse Farm Credit Administration Call Report Data into Tidy Data Frames
Version: 0.1.5
Description: Parses financial condition and performance data (Call Reports) for institutions in the United States Farm Credit System. Contains functions for downloading files from the Farm Credit Administration (FCA) Call Report archive website and reading the files into tidy data frame format. The archive website can be found at <https://www.fca.gov/bank-oversight/call-report-data-for-download>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: cli, dplyr, glue, purrr, rlang, stringr, tibble, tidyr, utils, waldo
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
URL: https://ketchbrookanalytics.github.io/fcall/, https://github.com/ketchbrookanalytics/fcall
BugReports: https://github.com/ketchbrookanalytics/fcall/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-14 15:24:52 UTC; root
Author: Michael Thomas [aut, cre], Ivan Millanes [aut], Ketchbrook Analytics [cph, fnd]
Maintainer: Michael Thomas <mthomas@ketchbrookanalytics.com>
Repository: CRAN
Date/Publication: 2025-11-19 19:00:07 UTC

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New package fairGATE with initial version 0.1.0
Package: fairGATE
Title: Fair Gated Algorithm for Targeted Equity
Version: 0.1.0
Description: Tools for training and analysing fairness-aware gated neural networks for subgroup-aware prediction and interpretation in clinical datasets. Methods draw on prior work in mixture-of-experts neural networks by Jordan and Jacobs (1994) <doi:10.1007/978-1-4471-2097-1_113>, fairness-aware learning by Hardt, Price, and Srebro (2016) <doi:10.48550/arXiv.1610.02413>, and personalised treatment prediction for depression by Iniesta, Stahl, and McGuffin (2016) <doi:10.1016/j.jpsychires.2016.03.016>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, tibble, ggplot2, readr, pROC, magrittr, tidyr, purrr, utils, stats, ggalluvial, tidyselect, rlang
Suggests: knitr, torch, testthat, readxl, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/rhysholland/FairGATE
BugReports: https://github.com/rhysholland/FairGate/issues
Depends: R (>= 4.1.0)
SystemRequirements: Optional 'LibTorch' backend; install via torch::install_torch().
LazyData: true
NeedsCompilation: no
Packaged: 2025-11-14 12:36:41 UTC; rhysholland
Author: Rhys Holland [aut, cre]
Maintainer: Rhys Holland <rhys.holland@icloud.com>
Repository: CRAN
Date/Publication: 2025-11-19 19:00:14 UTC

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New package SQUIRE with initial version 1.0.0
Package: SQUIRE
Title: Statistical Quality-Assured Integrated Response Estimation
Version: 1.0.0
Author: Richard A. Feiss [aut, cre]
Maintainer: Richard A. Feiss <feiss026@umn.edu>
Description: Implements statistically validated biological parameter optimization that combines automated parameter type detection with rigorous statistical quality assurance. Unlike conventional optimizers that fit parameters to any data, 'SQUIRE' first validates whether statistically significant biological effects exist before proceeding with parameter estimation. Uses trust region methods from Conn et al. (2000) <doi:10.1137/S1052623497325107>, ANOVA-based validation following Fisher (1925) <doi:10.1007/978-1-4612-4380-9_6>, and effect size calculations per Cohen (1988, ISBN:0805802835). Automatically distinguishes rate-based, positive-constrained, and unconstrained variables, applying geometry-appropriate optimization methods while preventing over-fitting to noise through built-in statistical validation, effect size assessment, and data quality requirements. Designed for complex biological and environmental models including germination studies, dose-response curves, and survival ana [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-14 00:12:06 UTC; feiss026
Repository: CRAN
Date/Publication: 2025-11-19 18:00:02 UTC

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Tue, 18 Nov 2025

New package EMGCR with initial version 0.2.0
Package: EMGCR
Title: Fit a Mixture Cure Rate Model with Custom Link Function
Version: 0.2.0
Maintainer: Jalmar M. F. Carrasco <carrasco.jalmar@ufba.br>
Description: Tools to fit Mixture Cure Rate models via the Expectation-Maximization (EM) algorithm, allowing for flexible link functions in the cure component and various survival distributions in the latency part. The package supports user-specified link functions, includes methods for parameter estimation and model diagnostics, and provides residual analysis tailored for cure models. The classical theory methods used are described in Berkson, J. and Gage, R. P. (1952) <doi:10.2307/2281318>, Dempster, A. P., Laird, N. M. and Rubin, D. B. (1977) <https://www.jstor.org/stable/2984875>, Bazán, J., Torres-Avilés, F., Suzuki, A. and Louzada, F. (2017)<doi:10.1002/asmb.2215>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: survival, Formula, knitr, actuar, flexsurv, tibble, ggplot2
LazyData: true
NeedsCompilation: no
Packaged: 2025-11-13 19:42:20 UTC; jalmarcarrasco
Author: Chaeyeon Yoo [aut], Dipak K. Dey [aut], Victor H. Lachos [aut], Jalmar M. F. Carrasco [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-18 09:50:08 UTC

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New package automatedRecLin with initial version 1.0.0
Package: automatedRecLin
Title: Record Linkage Based on an Entropy-Maximizing Classifier
Version: 1.0.0
Description: The goal of 'automatedRecLin' is to perform record linkage (also known as entity resolution) in unsupervised or supervised settings. It compares pairs of records from two datasets using selected comparison functions to estimate the probability or density ratio between matched and non-matched records. Based on these estimates, it predicts a set of matches that maximizes entropy. For details see: Lee et al. (2022) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2022001/article/00007-eng.htm>, Vo et al. (2023) <https://ideas.repec.org/a/eee/csdana/v179y2023ics0167947322002365.html>, Sugiyama et al. (2008) <doi:10.1007/s10463-008-0197-x>.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/ncn-foreigners/automatedRecLin, http://ncn-foreigners.ue.poznan.pl/automatedRecLin/
BugReports: https://github.com/ncn-foreigners/automatedRecLin/issues
Imports: data.table, densityratio, FixedPoint, methods, nleqslv, purrr, reclin2, stats, utils
Suggests: tinytest, xgboost
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2025-11-13 16:36:39 UTC; adamstruzik
Author: Adam Struzik [aut, cre], Maciej Beresewicz [aut, ctb]
Maintainer: Adam Struzik <adastr5@st.amu.edu.pl>
Repository: CRAN
Date/Publication: 2025-11-18 09:20:02 UTC

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New package aramappings with initial version 0.1.0
Package: aramappings
Title: Computes Adaptable Radial Axes Mappings
Version: 0.1.0
Description: Computes low-dimensional point representations of high-dimensional numerical data according to the data visualization method Adaptable Radial Axes described in: Manuel Rubio-Sánchez, Alberto Sanchez, and Dirk J. Lehmann (2017) "Adaptable radial axes plots for improved multivariate data visualization" <doi:10.1111/cgf.13196>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: clarabel, CVXR, glpkAPI, Matrix, parallel, pracma, Rglpk, slam, ggplot2, grDevices, grid, stats
URL: https://github.com/manuelrubio/aramappings, https://manuelrubio.github.io/aramappings/
BugReports: https://github.com/manuelrubio/aramappings/issues
Suggests: testthat (>= 3.0.0), parallelly, geometry, ascentTraining, liver, datasetsICR, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-13 18:36:16 UTC; manuel
Author: Manuel Rubio-Sanchez [aut, cre, cph] , Dirk J. Lehmann [ctb] , Miguel Angel Munoz Mohedano [ctb] , Alberto Sanchez Campos [ctb] , Cristina Soguero-Ruiz [ctb]
Maintainer: Manuel Rubio-Sanchez <manuel.rubio@urjc.es>
Repository: CRAN
Date/Publication: 2025-11-18 09:50:02 UTC

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New package quasar with initial version 0.1.0
Package: quasar
Title: Valid Inference on Multiple Quantile Regressions
Version: 0.1.0
Date: 2025-11-07
Description: The approach is based on the closed testing procedure to control familywise error rate in a strong sense. The local tests implemented are Wald-type and rank-score. The method is described in De Santis, et al., (2025), <doi:10.48550/arXiv.2511.07999>.
Depends: quantreg, Matrix, MASS
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-13 08:27:14 UTC; Andreella
Author: Angela Andreella [aut, cre], Anna Vesely [ctb]
Maintainer: Angela Andreella <angela.andreella@unive.it>
Repository: CRAN
Date/Publication: 2025-11-18 09:00:02 UTC

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Mon, 17 Nov 2025

New package SCoRES with initial version 0.1.2
Package: SCoRES
Title: Simultaneous Confidence Region Excursion Sets
Version: 0.1.2
Author: Zhuoran Yu [aut, cre], Armin Schwartzman [aut], Junting Ren [aut], Julia Wrobel [aut]
Maintainer: Zhuoran Yu <angela.yu@emory.edu>
Description: Provides computational tools for estimating inverse regions and constructing the corresponding simultaneous outer and inner confidence regions. Acceptable input includes both one-dimensional and two-dimensional data for linear, logistic, functional, and spatial generalized least squares regression models. Functions are also available for constructing simultaneous confidence bands (SCBs) for these models. The definition of simultaneous confidence regions (SCRs) follows Sommerfeld et al. (2018) <doi:10.1080/01621459.2017.1341838>. Methods for estimating inverse regions, SCRs, and the nonparametric bootstrap are based on Ren et al. (2024) <doi:10.1093/jrsssc/qlae027>. Methods for constructing SCBs are described in Crainiceanu et al. (2024) <doi:10.1201/9781003278726> and Telschow et al. (2022) <doi:10.1016/j.jspi.2021.05.008>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://angelayustat.github.io/SCoRES/
BugReports: https://github.com/AngelaYuStat/SCoRES/issues
Imports: dplyr, forcats, ggplot2, grDevices, patchwork, MASS, Matrix, matrixStats, metR, nlme, stats, tidyr, refund, reshape, tibble, rlang, magrittr, utils
Depends: R (>= 4.4)
LazyData: true
Suggests: knitr, mgcv, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr, rmarkdown
BuildVignettes: true
LazyLoad: no
ByteCompile: false
NeedsCompilation: no
Packaged: 2025-11-12 23:27:25 UTC; PC
Repository: CRAN
Date/Publication: 2025-11-17 21:20:12 UTC

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New package rclsp with initial version 0.1.0
Package: rclsp
Title: A Modular Two-Step Convex Optimization Estimator for Ill-Posed Problems
Version: 0.1.0
Description: Convex Least Squares Programming (CLSP) is a two-step estimator for solving underdetermined, ill-posed, or structurally constrained least-squares problems. It combines pseudoinverse-based estimation with convex-programming correction methods inspired by Lasso, Ridge, and Elastic Net to ensure numerical stability, constraint enforcement, and interpretability. The package also provides numerical stability analysis and CLSP-specific diagnostics, including partial R^2, normalized RMSE (NRMSE), Monte Carlo t-tests for mean NRMSE, and condition-number-based confidence bands.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.2)
Imports: Matrix, stats, methods, CVXR, MASS
Suggests: testthat (>= 3.0.0)
URL: https://github.com/econcz/rclsp
BugReports: https://github.com/econcz/rclsp/issues
NeedsCompilation: no
Packaged: 2025-11-13 00:02:15 UTC; ilyabolotov
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>
Repository: CRAN
Date/Publication: 2025-11-17 21:10:02 UTC

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New package privacyR with initial version 1.0.0
Package: privacyR
Title: Privacy-Preserving Data Anonymization
Version: 1.0.0
Description: Tools for anonymizing sensitive patient and research data. Helps protect privacy while keeping data useful for analysis. Anonymizes IDs, names, dates, locations, and ages while maintaining referential integrity. Methods based on: Sweeney (2002) <doi:10.1142/S0218488502001648>, Dwork et al. (2006) <doi:10.1007/11681878_14>, El Emam et al. (2011) <doi:10.1371/journal.pone.0028071>, Fung et al. (2010) <doi:10.1145/1749603.1749605>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: lubridate
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, data.table
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-13 02:05:13 UTC; vikrant31
Author: Vikrant Dev Rathore [aut, cre]
Maintainer: Vikrant Dev Rathore <rathore.vikrant@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-17 21:20:02 UTC

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New package nycOpenData with initial version 0.1.2
Package: nycOpenData
Title: Convenient Access to NYC Open Data API Endpoints
Version: 0.1.2
Description: Provides a unified set of helper functions to access datasets from the NYC Open Data platform <https://opendata.cityofnewyork.us/>. Functions return results as tidy tibbles and support optional filtering, sorting, and row limits via the Socrata API. The package includes endpoints for 311 service requests, DOB job applications, juvenile justice metrics, school safety, environmental data, event permitting, and additional citywide datasets.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr, jsonlite, tibble
Suggests: knitr, rmarkdown
URL: https://github.com/martinezc1/nycOpenData
BugReports: https://github.com/martinezc1/nycOpenData/issues
NeedsCompilation: no
Packaged: 2025-11-13 04:15:08 UTC; christianmartinez
Author: Christian Martinez [aut, cre]
Maintainer: Christian Martinez <c.martinez0@outlook.com>
Repository: CRAN
Date/Publication: 2025-11-17 21:30:02 UTC

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New package fmi with initial version 0.1.7
Package: fmi
Title: Hierarchical Permutation Tests for Functional Measurement Invariance
Description: Provides a suite of functions to test for Functional Measurement Invariance (FMI) between two groups. Implements hierarchical permutation tests for configural, metric, and scalar invariance, adapting concepts from Multi-Group Confirmatory Factor Analysis (MGCFA) to functional data. Methods are based on concepts from: Meredith, W. (1993) <doi:10.1007/BF02294825>,5 Yao, F., Müller, H. G., & Wang, J. L. (2005) <doi:10.1198/016214504000001745>, and Lee, K. Y., & Li, L. (2022) <doi:10.1111/rssb.12471>.
Version: 0.1.7
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, ggplot2, knitr, magrittr, methods, purrr, refund, stats, tibble, tidyr, utils
Suggests: fda, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-13 02:14:30 UTC; user
Author: Hyeri Kim [aut, cre]
Maintainer: Hyeri Kim <gpfl3616@naver.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2025-11-17 21:20:07 UTC

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New package casimir with initial version 0.3.3
Package: casimir
Title: Comparing Automated Subject Indexing Methods in R
Version: 0.3.3
Description: Perform evaluation of automatic subject indexing methods. The main focus of the package is to enable efficient computation of set retrieval and ranked retrieval metrics across multiple dimensions of a dataset, e.g. document strata or subsets of the label set. The package also provides the possibility of computing bootstrap confidence intervals for all major metrics, with seamless integration of parallel computation and propensity scored variants of standard metrics.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr (>= 1.1.1), furrr, purrr, rsample, tidyr, rlang, collapse (>= 2.1.0), stringr, options, withr
Suggests: testthat (>= 3.0.0), tibble, tidyverse, ggplot2, future
Depends: R (>= 4.1.0)
LazyData: true
URL: https://deutsche-nationalbibliothek.github.io/casimir/
NeedsCompilation: no
Packaged: 2025-11-13 07:50:18 UTC; maximilian
Author: Maximilian Kaehler [aut, cre] , Markus Schumacher [aut], Deutsche Nationalbibliothek [cph]
Maintainer: Maximilian Kaehler <m.kaehler@dnb.de>
Repository: CRAN
Date/Publication: 2025-11-17 21:30:07 UTC

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New package bin2norm with initial version 0.1.0
Package: bin2norm
Title: Hierarchical Probit Estimation for Dichotomized Data
Version: 0.1.0
Description: Provides likelihood-based and hierarchical estimation methods for thresholded (binomial-probit) data. Supports fixed-mean and random-mean models with maximum likelihood estimation (MLE), generalized linear mixed model (GLMM), and Bayesian Markov chain Monte Carlo (MCMC) implementations. For methodological background, see Albert and Chib (1993) <doi:10.1080/01621459.1993.10476321> and McCulloch (1994) <doi:10.2307/2297959>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: lme4, rstan, stats, statmod
NeedsCompilation: no
Packaged: 2025-11-12 18:52:57 UTC; zhaoze
Author: Zhaoze Liu [aut, cre]
Maintainer: Zhaoze Liu <786633848@qq.com>
Repository: CRAN
Date/Publication: 2025-11-17 21:10:13 UTC

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New package riemstats with initial version 0.2.0
Package: riemstats
Title: Riemannian ANOVA Statistics
Version: 0.2.0
Description: Provides statistical methods for analyzing samples of symmetric positive definite (SPD) matrices, particularly functional connectivity matrices from neuroimaging data. Implements Fréchet ANOVA (Dubey and Müller (2019) <doi:10.1093/biomet/asz052>) for testing differences between groups in metric spaces, and Riemannian ANOVA methods that leverage tangent space geometry with classic multivariate test statistics including Wilks' Lambda and Pillai's trace. Also includes harmonization techniques for removing batch effects in multi-site studies: ComBat-based harmonization (Honnorat et al. (2024) <doi:10.1016/j.media.2023.103043>) and rigid harmonization (Simeon et al. (2022) <doi:10.3389/fninf.2022.769274>). Builds on 'riemtan' package infrastructure for efficient computation with multiple Riemannian metrics.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: Matrix, CovTools, sva, purrr, riemtan, methods
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://nicoesve.github.io/riemstats/
BugReports: https://github.com/nicoesve/riemstats/issues
Maintainer: Nicolas Escobar <nescoba@iu.edu>
NeedsCompilation: no
Packaged: 2025-11-12 14:27:13 UTC; new user
Author: Nicolas Escobar [aut, cre] , Jaroslaw Harezlak [ths]
Repository: CRAN
Date/Publication: 2025-11-17 21:00:02 UTC

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New package PCBN with initial version 0.1.1
Package: PCBN
Title: Inference of Pair-Copula Bayesian Networks
Version: 0.1.1
Description: Creates, fits and samples Pair-Copula Bayesian networks (PCBN) under some restrictions on the underlying Directed Acyclic Graph (DAG), that is, no active cycles nor interfering v-structures, following Derumigny, Horsman and Kurowicka (2025) <doi:10.48550/arXiv.2510.03518>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: bnlearn, igraph, r2r, VineCopula
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), data.tree, Rgraphviz
URL: https://github.com/AlexisDerumigny/PCBN
BugReports: https://github.com/AlexisDerumigny/PCBN/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-12 16:20:32 UTC; aderumigny
Author: Alexis Derumigny [aut, cre] , Niels Horsman [aut], Dorota Kurowicka [aut]
Maintainer: Alexis Derumigny <a.f.f.derumigny@tudelft.nl>
Repository: CRAN
Date/Publication: 2025-11-17 21:00:07 UTC

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New package GeneralizedUmatrixGPU with initial version 0.1.8
Package: GeneralizedUmatrixGPU
Title: Credible Visualization for Two-Dimensional Projections of Data
Version: 0.1.8
Date: 2025-11-04
Maintainer: Quirin Stier <Quirin_Stier@gmx.de>
Description: Projections are common dimensionality reduction methods, which represent high-dimensional data in a two-dimensional space. However, when restricting the output space to two dimensions, which results in a two dimensional scatter plot (projection) of the data, low dimensional similarities do not represent high dimensional distances coercively [Thrun, 2018] <DOI: 10.1007/978-3-658-20540-9>. This could lead to a misleading interpretation of the underlying structures [Thrun, 2018]. By means of the 3D topographic map the generalized Umatrix is able to depict errors of these two-dimensional scatter plots. The package is derived from the book of Thrun, M.C.: "Projection Based Clustering through Self-Organization and Swarm Intelligence" (2018) <DOI:10.1007/978-3-658-20540-9> and the main algorithm called simplified self-organizing map for dimensionality reduction methods is published in Thrun, M.C. and Ultsch, A.: "Uncovering High-dimensional Structures of Projections from Dimension [...truncated...]
License: GPL-3
Imports: Rcpp (>= 1.0.8), RcppParallel (>= 5.1.4), ggplot2, GeneralizedUmatrix
Suggests: DataVisualizations, rgl, grid, mgcv, png, reshape2, fields, ABCanalysis, plotly, deldir, methods, knitr (>= 1.12), rmarkdown (>= 0.9), ProjectionBasedClustering
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Depends: R (>= 3.0)
NeedsCompilation: yes
SystemRequirements: GNU make, pandoc (>=1.12.3, needed for vignettes), OpenCL shared library (provided by an SDK such as AMD/NVIDIA)
LazyLoad: yes
LazyData: TRUE
Encoding: UTF-8
Packaged: 2025-11-12 11:01:36 UTC; quiri
Author: Quirin Stier [aut, cre] , Michael Thrun [aut, cph] , The Khronos Group Inc. [cph]
Repository: CRAN
Date/Publication: 2025-11-17 20:50:02 UTC

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New package Romeb with initial version 0.1.2
Package: Romeb
Title: Robust Median-Based Bayesian Growth Curve Modeling
Version: 0.1.2
Description: Implements robust median-based Bayesian growth curve models that handle Missing Completely at Random (MCAR), Missing At Random (MAR), and Missing Not At Random (MNAR) missing-data mechanisms, and allow auxiliary variables. Models are fitted via 'rjags' (interface to 'JAGS') and summarized with 'coda'.
License: GPL-3
URL: https://github.com/DandanTang0/Romeb
BugReports: https://github.com/DandanTang0/Romeb/issues
Encoding: UTF-8
Depends: R (>= 4.2)
Imports: rjags, coda, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
SystemRequirements: JAGS
LazyData: true
LazyDataCompression: xz
Language: en-US
NeedsCompilation: no
Packaged: 2025-11-12 06:27:14 UTC; lynn
Author: Dandan Tang [aut, cre] , Xin Tong [aut]
Maintainer: Dandan Tang <tangdd20@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-17 09:10:02 UTC

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New package PDEnaiveBayes with initial version 0.2.8
Package: PDEnaiveBayes
Title: Plausible Naive Bayes Classifier Using PDE
Version: 0.2.8
Date: 2025-11-12
Maintainer: Michael Thrun <m.thrun@gmx.net>
Description: A nonparametric, multicore-capable plausible naive Bayes classifier based on the Pareto density estimation (PDE) featuring a plausible approach to a pitfall in the Bayesian theorem covering low evidence cases. Stier, Q., Hoffmann, J., and Thrun, M.C.: "Classifying with the Fine Structure of Distributions: Leveraging Distributional Information for Robust and Plausible Naïve Bayes" (2025).
LazyLoad: yes
LazyData: TRUE
NeedsCompilation: yes
Imports: Rcpp (>= 1.0.8), RcppParallel (>= 5.1.4), pracma, plotly, utils, grDevices, stats, graphics, methods, ggplot2, DatabionicSwarm, memshare
Suggests: FCPS(>= 1.3.5), ABCanalysis, modeest, deldir, ScatterDensity (>= 0.1.1), gridExtra, parallelDist, parallel, DataVisualizations (>= 1.1.5)
LinkingTo: Rcpp, RcppParallel
Depends: R (>= 2.10)
License: GPL-3
Encoding: UTF-8
BugReports: https://github.com/Mthrun/PDEbayes/issues
Packaged: 2025-11-12 07:13:52 UTC; mct
Author: Michael Thrun [aut, cph, cre] , Quirin Stier [aut, rev] , Tim Robin Neldner [ctr, ctb]
Repository: CRAN
Date/Publication: 2025-11-17 09:10:07 UTC

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New package enhancer with initial version 1.1.0
Package: enhancer
Version: 1.1.0
Date: 2025-10-21
Title: Mixed-Effects Models Enhancing Functions
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>
Description: Special functions that enhance other mixed effect model packages by creating overlayed, reduced rank, and reduced model matrices together with multiple data sets to practice the use of these models. For more details see Covarrubias-Pazaran (2016) <doi:10.1371/journal.pone.0156744>.
Depends: R(>= 3.5.0), Matrix (>= 1.0), MASS, methods, crayon
LazyLoad: yes
LazyData: yes
License: GPL (>= 2)
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Repository: CRAN
Suggests: rmarkdown, knitr, orthopolynom, RSpectra, evola, lme4breeding, sommer
NeedsCompilation: no
Packaged: 2025-11-12 02:38:20 UTC; giovannycovarrubias
Date/Publication: 2025-11-17 09:00:02 UTC

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New package ELmethodVar with initial version 0.1
Package: ELmethodVar
Version: 0.1
Date: 2025-11-12
Title: Empirical Likelihood Inference of Variance Components in Linear Mixed-Effects Models
Author: Jingru Zhang [aut, cre]
Maintainer: Jingru Zhang <jrzhang001@gmail.com>
Depends: R (>= 3.5.0)
Description: Provides empirical likelihood-based methods for the inference of variance components in linear mixed-effects models.
License: GPL (>= 2)
URL: https://github.com/jingru-zhang/ELmethod
NeedsCompilation: no
Packaged: 2025-11-12 05:59:57 UTC; jingruzhang
Repository: CRAN
Date/Publication: 2025-11-17 09:00:15 UTC

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New package coFAST with initial version 0.1.0
Package: coFAST
Title: Spatially-Aware Cell Clustering Algorithm with Cluster Significant Assessment
Version: 0.1.0
Date: 2025-11-12
Author: Wei Liu [aut, cre], Xiao Zhang [aut], Yi Yang [aut], Peng Xie [aut], Chengqi Lin [aut], Jin Liu [aut]
Maintainer: Wei Liu <liuweideng@gmail.com>
Description: A spatially-aware cell clustering algorithm is provided with cluster significance assessment. It comprises four key modules: spatially-aware cell-gene co-embedding, cell clustering, signature gene identification, and cluster significant assessment. More details can be referred to Peng Xie, et al. (2025) <doi:10.1016/j.cell.2025.05.035>.
License: GPL-3
Depends: R (>= 4.0.0),
Imports: Rcpp (>= 1.0.10), furrr, future, ggplot2, irlba, DR.SC, PRECAST, ProFAST, Matrix, ade4, progress, pbapply, dplyr, Seurat, stats, utils
LazyData: true
URL: https://github.com/feiyoung/coFAST
BugReports: https://github.com/feiyoung/coFAST/issues
Suggests: knitr, rmarkdown, scater, ggrepel, RANN, grDevices
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-11-12 02:32:59 UTC; 10297
Repository: CRAN
Date/Publication: 2025-11-17 09:00:10 UTC

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Thu, 13 Nov 2025

New package XYomics with initial version 0.1.1
Package: XYomics
Title: Analysis of Sex Differences in Omics Data for Complex Diseases
Version: 0.1.1
Maintainer: Enrico Glaab <enrico.glaab@uni.lu>
Description: Tools to analyze sex differences in omics data for complex diseases. It includes functions for differential expression analysis using the 'limma' method <doi:10.1093/nar/gkv007>, interaction testing between sex and disease, pathway enrichment with 'clusterProfiler' <doi:10.1089/omi.2011.0118>, and gene regulatory network (GRN) construction and analysis using 'igraph'. The package enables a reproducible workflow from raw data processing to biological interpretation.
Depends: R (>= 3.6)
Imports: limma, igraph, edgeR, Seurat, SeuratObject, clusterProfiler, org.Hs.eg.db, ReactomePA, data.table, ggplot2, tidyr, grid, ggraph, dplyr, ggrepel, scales, Rcpp, methods
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: R.utils, DT, gridExtra, knitr, htmltools, kableExtra, rmarkdown, stringr
LinkingTo: Rcpp
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2025-11-10 15:07:41 UTC; mohamed.soudy
Author: Enrico Glaab [aut, cre], Sophie Le Bars [aut], Mohamed Soudy [aut], Murodzhon Akhmedov [cph]
Repository: CRAN
Date/Publication: 2025-11-13 21:20:08 UTC

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New package Ssarkartrim with initial version 1.0.0
Package: Ssarkartrim
Title: Trimmed-k Mean Estimator
Version: 1.0.0
Date: 2025-11-08
Description: Computes the trimmed-k mean by removing the k smallest and k largest values from a numeric vector. Created for STAT 5400 at the University of Iowa.
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-11 03:41:42 UTC; shouhardyo
Author: Shouhardyo Sarkar [aut, cre]
Maintainer: Shouhardyo Sarkar <shouhardyo-sarkar@uiowa.edu>
Repository: CRAN
Date/Publication: 2025-11-13 21:10:10 UTC

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New package nlmixr2autoinit with initial version 1.0.0
Package: nlmixr2autoinit
Title: Automatic Generation of Initial Estimates for Population Pharmacokinetic Modeling
Version: 1.0.0
Description: Provides automated methods for generating initial parameter estimates in population pharmacokinetic modeling. The pipeline integrates adaptive single-point methods, naive pooled graphic approaches, noncompartmental analysis methods, and parameter sweeping across pharmacokinetic models. It estimates residual unexplained variability using either data-driven or fixed-fraction approaches and assigns pragmatic initial values for inter-individual variability. These strategies are designed to improve model robustness and convergence in 'nlmixr2' workflows. For more details see Huang Z, Fidler M, Lan M, Cheng IL, Kloprogge F, Standing JF (2025) <doi:10.1007/s10928-025-10000-z>.
License: GPL (>= 3)
URL: https://github.com/ucl-pharmacometrics/nlmixr2autoinit
BugReports: https://github.com/ucl-pharmacometrics/nlmixr2autoinit/issues
Depends: nlmixr2data, R (>= 4.0)
Imports: nlmixr2, nlmixr2est, rxode2, dplyr, tidyr, crayon, purrr, knitr, magrittr, progressr, tibble, vpc
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-11-11 04:05:53 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: 2025-11-13 21:10:02 UTC

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New package gTestsPair with initial version 0.1
Package: gTestsPair
Version: 0.1
Date: 2025-11-02
Title: New Nonparametric Tests for Multivariate Paired Data and Pair Matching
Maintainer: Hao Chen <hxchen@ucdavis.edu>
Depends: R (>= 3.5.0)
Imports: ade4
Description: Implements three nonparametric two-sample tests for multivariate paired data and pair matching. Methods are described in the associated preprint: <doi:10.48550/arXiv.2007.01497>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-11-11 20:39:51 UTC; hao
Author: Jingru Zhang [aut], Hao Chen [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-13 21:30:02 UTC

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New package carts with initial version 0.1.0
Package: carts
Title: Simulation-Based Assessment of Covariate Adjustment in Randomized Trials
Version: 0.1.0
Maintainer: Benedikt Sommer <benediktsommer92@gmail.com>
Description: Monte Carlo simulation framework for different randomized clinical trial designs with a special emphasis on estimators based on covariate adjustment. The package implements regression-based covariate adjustment (Rosenblum & van der Laan (2010) <doi:10.2202/1557-4679.1138>) and a one-step estimator (Van Lancker et al (2024) <doi:10.48550/arXiv.2404.11150>) for trials with continuous, binary and count outcomes. The estimation of the minimum sample-size required to reach a specified statistical power for a given estimator uses bisection to find an initial rough estimate, followed by stochastic approximation (Robbins-Monro (1951) <doi:10.1214/aoms/1177729586>) to improve the estimate, and finally, a grid search to refine the estimate in the neighborhood of the current best solution.
License: Apache License (>= 2)
Depends: R (>= 4.1), lava (>= 1.8.0)
Imports: data.table (>= 1.14), logger (>= 0.2.2), methods, progressr, R6 (>= 2.5.1), survival, targeted (>= 0.6), rlang
LinkingTo: Rcpp (>= 1.0.11), RcppArmadillo
Suggests: future, tinytest, MASS, geepack, covr, pdftools, knitr, mets (>= 1.3.4), rmarkdown, magick, pwr, pwrss
BugReports: https://github.com/NovoNordisk-OpenSource/carts/issues
URL: https://novonordisk-opensource.github.io/carts/, https://github.com/NovoNordisk-OpenSource/carts
VignetteBuilder: knitr
ByteCompile: yes
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-11-11 09:09:54 UTC; bkts
Author: Benedikt Sommer [aut, cre], Klaus K. Holst [aut], Foroogh Shamsi [aut], Novo Nordisk A/S [cph]
Repository: CRAN
Date/Publication: 2025-11-13 21:20:02 UTC

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New package biostats with initial version 1.0.0
Package: biostats
Title: Biostatistics and Clinical Data Analysis
Version: 1.0.0
Description: Biostatistical and clinical data analysis, including descriptive statistics, exploratory data analysis, sample size and power calculations, statistical inference, and data visualization. Normality tests are implemented following Mishra et al. (2019) <doi:10.4103/aca.ACA_157_18>, omnibus test procedures are based on Blanca et al. (2017) <doi:10.3758/s13428-017-0918-2> and Field et al. (2012, ISBN:9781446200469), while sample size and power calculation methods follow Chow et al. (2017) <doi:10.1201/9781315183084>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0), covr
Imports: ggplot2, gridExtra, rlang, car, gt
URL: https://github.com/sebasquirarte/biostats
BugReports: https://github.com/sebasquirarte/biostats/issues
NeedsCompilation: no
Packaged: 2025-11-11 22:11:53 UTC; squirartej
Author: Sebastian Quirarte-Justo [aut, cre] , Angela Carolina Montano-Ruiz [aut] , Jose Maria Torres-Arellano [aut] , Laboratorios Sophia S.A. de C.V. [cph, fnd]
Maintainer: Sebastian Quirarte-Justo <sebastian.quirarte@sophia.com.mx>
Repository: CRAN
Date/Publication: 2025-11-13 21:40:02 UTC

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New package unifiedml with initial version 0.1.0
Package: unifiedml
Title: Unified Interface for Machine Learning Models
Version: 0.1.0
Date: 2025-11-05
Maintainer: T. Moudiki <thierry.moudiki@gmail.com>
Description: Provides a unified R6-based interface for various machine learning models with automatic interface detection, consistent cross-validation, model interpretations via numerical derivatives, and visualization. Supports both regression and classification tasks with any model function that follows R's standard modeling conventions (formula or matrix interface).
License: MIT + file LICENSE
URL: https://github.com/Techtonique/unifiedml
BugReports: https://github.com/Techtonique/unifiedml/issues
Depends: R (>= 3.5.0), doParallel, R6, foreach
Imports: Rcpp (>= 1.1.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, glmnet, randomForest, e1071, covr, spelling, MASS
VignetteBuilder: knitr
Encoding: UTF-8
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2025-11-10 21:42:50 UTC; t
Author: T. Moudiki [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-13 19:10:02 UTC

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New package cld with initial version 0.0.1
Package: cld
Title: Create Compact Letter Display (CLD) for Statistical Comparisons
Version: 0.0.1
Description: Creates compact letter displays (CLDs) for pairwise comparisons from statistical post-hoc tests. Groups sharing the same letter are not significantly different from each other. Supports multiple input formats including results from 'stats' pairwise tests, 'DescTools', 'PMCMRplus', 'rstatix', symmetric matrices of p-values, and data frames. Provides a consistent interface for visualizing statistical groupings across different testing frameworks.
License: GPL (>= 3)
URL: https://gegznav.github.io/cld/
BugReports: https://github.com/GegznaV/cld/issues
Imports: checkmate, multcompView, rlang
Suggests: DescTools, dplyr, ggplot2, knitr, PMCMR, PMCMRplus, rcompanion, rmarkdown, rstatix, testthat (>= 3.0.0), tibble
Encoding: UTF-8
Language: en-US
Depends: R (>= 2.10)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-10 19:26:21 UTC; ViG
Author: Vilmantas Gegzna [aut, cre]
Maintainer: Vilmantas Gegzna <GegznaV@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-13 19:10:07 UTC

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New package transGFM with initial version 1.0.1
Package: transGFM
Title: Transfer Learning for Generalized Factor Models
Version: 1.0.1
Date: 2025-11-10
Maintainer: Zhijing Wang <wangzhijing@sjtu.edu.cn>
Description: Transfer learning for generalized factor models with support for continuous, count (Poisson), and binary data types. The package provides functions for single and multiple source transfer learning, source detection to identify positive and negative transfer sources, factor decomposition using Maximum Likelihood Estimation (MLE), and information criteria ('IC1' and 'IC2') for rank selection. The methods are particularly useful for high-dimensional data analysis where auxiliary information from related source datasets can improve estimation efficiency in the target domain.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-11-10 01:57:23 UTC; clswt-wangzhijing
Author: Zhijing Wang [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-13 18:40:02 UTC

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New package PSRICalc with initial version 1.0.0
Package: PSRICalc
Title: Plant Stress Response Index Calculator
Version: 1.0.0
Description: Calculate Plant Stress Response Index (PSRI) from time-series germination data with optional radicle vigor integration. Built on the methodological foundation of the Osmotic Stress Response Index (OSRI) framework developed by Walne et al. (2020) <doi:10.1002/agg2.20087>. Provides clean, direct PSRI calculations suitable for agricultural research and statistical analysis. Note: This package implements methodology currently under peer review. Please contact the author before publication using this approach.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
NeedsCompilation: no
Packaged: 2025-11-10 17:43:17 UTC; feiss026
Author: Richard Feiss [aut, cre], University of Minnesota [cph]
Maintainer: Richard Feiss <feiss026@umn.edu>
Repository: CRAN
Date/Publication: 2025-11-13 19:00:18 UTC

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New package mccount with initial version 0.1.1
Package: mccount
Title: Estimate Recurrent Event Burden with Competing Risks
Version: 0.1.1
Description: Calculates mean cumulative count (MCC) to estimate the expected cumulative number of recurrent events per person over time in the presence of competing risks and censoring. Implements both the Dong-Yasui equation method and sum of cumulative incidence method described in Dong, et al. (2015) <doi:10.1093/aje/kwu289>. Supports inverse probability weighting for causal inference as outlined in Gaber, et al. (2023) <doi:10.1093/aje/kwad031>. Provides S3 methods for printing, summarizing, plotting, and extracting results. Handles grouped analyses and integrates with 'ggplot2' <https://ggplot2.tidyverse.org/> for visualization.
License: MIT + file LICENSE
URL: https://github.com/KennethATaylor/mccount, https://kennethataylor.github.io/mccount/
BugReports: https://github.com/KennethATaylor/mccount/issues
Depends: R (>= 4.1.0)
Imports: cards, cli, cmprsk, data.table, dplyr, glue, lifecycle, rlang, stringr, tibble, tidyr
Suggests: boot, ggplot2 (>= 3.5.0), knitr, MatchIt, mstate, optmatch, patchwork, rmarkdown, spelling, survival, testthat (>= 3.0.0), WeightIt, withr
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-10 14:18:54 UTC; uindy
Author: Kenneth A. Taylor [aut, cre, cph]
Maintainer: Kenneth A. Taylor <kenneth.taylor.dpt@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-13 19:00:02 UTC

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New package gkwdist with initial version 1.0.10
Package: gkwdist
Title: Generalized Kumaraswamy Distribution Family
Version: 1.0.10
Description: Implements the five-parameter Generalized Kumaraswamy ('gkw') distribution proposed by 'Carrasco, Ferrari and Cordeiro (2010)' <doi:10.48550/arXiv.1004.0911> and its seven nested sub-families for modeling bounded continuous data on the unit interval (0,1). The 'gkw' distribution extends the Kumaraswamy distribution described by Jones (2009) <doi:10.1016/j.stamet.2008.04.001>. Provides density, distribution, quantile, and random generation functions, along with analytical log-likelihood, gradient, and Hessian functions implemented in 'C++' via 'RcppArmadillo' for maximum computational efficiency. Suitable for modeling proportions, rates, percentages, and indices exhibiting complex features such as asymmetry, or heavy tails and other shapes not adequately captured by standard distributions like simple Beta or Kumaraswamy.
License: MIT + file LICENSE
URL: https://github.com/evandeilton/gkwdist, https://evandeilton.github.io/gkwdist/
BugReports: https://github.com/evandeilton/gkwdist/issues
Encoding: UTF-8
Language: en-US
Imports: Rcpp, RcppArmadillo, magrittr, numDeriv
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: yes
VignetteBuilder: knitr
Packaged: 2025-11-10 13:32:00 UTC; jlopes
Author: Jose Evandeilton Lopes [aut, cre]
Maintainer: Jose Evandeilton Lopes <evandeilton@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-13 19:00:08 UTC

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New package epitabulate with initial version 0.1.0
Package: epitabulate
Title: Tables for Epidemiological Analysis
Version: 0.1.0
Description: Produces tables for descriptive epidemiological analysis. These tables include attack rates, case fatality ratios, and mortality rates (with appropriate confidence intervals), with additional functionality to calculate Mantel-Haenszel odds, risk, and incidence rate ratios. The methods implemented follow standard epidemiological approaches described in Rothman et al. (2008, ISBN:978-0-19-513554-2). This package is part of the 'R4EPIs' project <https://R4EPI.github.io/sitrep/>.
License: GPL-3
URL: https://R4EPI.github.io/epitabulate/, https://github.com/R4EPI/epitabulate/
BugReports: https://github.com/R4EPI/epitabulate/issues
Imports: binom, dplyr (>= 1.0.2), epikit (>= 0.1.2), forcats, glue, gtsummary, MASS, purrr, rlang (>= 0.4.0), scales, stats, tibble (>= 3.0.0), tidyr (>= 1.0.0), tidyselect (>= 1.0.0)
Suggests: broom.helpers, cardx, covr, matchmaker (>= 0.1.0), testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-10 09:59:54 UTC; spina
Author: Alexander Spina [aut, cre] , Zhian N. Kamvar [aut] , Amy Gimma [aut], Kate Doyle [ctb], Applied Epi Incorporated [cph], Medecins Sans Frontieres Operational Centre Amsterdam [fnd]
Maintainer: Alexander Spina <aspina@appliedepi.org>
Repository: CRAN
Date/Publication: 2025-11-13 18:50:02 UTC

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