CRANberries

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

More information about specleanr at CRAN
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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

More information about SelectBoost.gamlss at CRAN
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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

More information about cayleyR at CRAN
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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

More information about timechecker at CRAN
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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

More information about nomisdata at CRAN
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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

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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

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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

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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

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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

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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

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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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New package epidict with initial version 0.1.0
Package: epidict
Title: Epidemiology Data Dictionaries and Random Data Generators
Version: 0.1.0
Description: The 'R4EPIs' project <https://r4epi.github.io/sitrep/> seeks to provide a set of standardized tools for analysis of outbreak and survey data in humanitarian aid settings. This package currently provides standardized data dictionaries from Medecins Sans Frontieres Operational Centre Amsterdam for outbreak scenarios (Acute Jaundice Syndrome, Cholera, Diphtheria, Measles, Meningitis) and surveys (Retrospective mortality and access to care, Malnutrition, Vaccination coverage and Event Based Surveillance) - as described in the following <https://scienceportal.msf.org/assets/standardised-mortality-surveys?utm_source=chatgpt.com>. In addition, a data generator from these dictionaries is provided. It is also possible to read in any Open Data Kit format data dictionary.
License: GPL-3
URL: https://github.com/R4EPI/epidict/, https://r4epi.github.io/epidict/
Imports: clipr, dplyr, readxl, rlang, stats, tibble, tidyr, utils
Suggests: covr, DT, knitr, matchmaker, rmarkdown, testthat (>= 2.1.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-10 13:13:32 UTC; spina
Author: Alexander Spina [aut, cre] , Zhian N. Kamvar [aut] , Lukas Richter [aut], Patrick Keating [aut], Annick Lenglet [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 18:50:07 UTC

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Wed, 12 Nov 2025

New package GraphRankTest with initial version 0.1
Package: GraphRankTest
Title: Rank in Similarity Graph Edge-Count Two-Sample Test (RISE)
Version: 0.1
Maintainer: Doudou Zhou <ddzhou@nus.edu.sg>
Description: Implements the Rank In Similarity Graph Edge-count two-sample test (RISE) for high-dimensional and non-Euclidean data. The method constructs similarity-based graphs, such as k-nearest neighbor graph (k-NNG), k-minimum spanning tree (k-MST), and k-minimum distance non-bipartite pairing (k-MDP), and evaluates rank-based within-sample edge counts with asymptotic and permutation p-values. For methodological details, see Zhou and Chen (2023) <https://proceedings.mlr.press/v195/zhou23a.html>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, ade4, nbpMatching
Suggests: testthat (>= 3.0.0), rmarkdown
URL: https://proceedings.mlr.press/v195/zhou23a.html
NeedsCompilation: no
Packaged: 2025-11-09 08:21:43 UTC; doudou
Author: Doudou Zhou [aut, cre] , Hao Chen [aut]
Repository: CRAN
Date/Publication: 2025-11-12 21:10:07 UTC

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New package FCUSUM with initial version 1.0.0
Package: FCUSUM
Title: Fourier CUSUM Cointegration Test
Version: 1.0.0
Description: Implements the Fourier cumulative sum (CUSUM) cointegration test for detecting cointegration relationships in time series data with structural breaks. The test uses Fourier approximations to capture smooth structural changes and CUSUM statistics to test for cointegration stability. Based on methodology described in Zaghdoudi (2025) <doi:10.46557/001c.144076>. The corrected Akaike Information Criterion (AICc) is used for optimal frequency selection.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
NeedsCompilation: no
Packaged: 2025-11-09 16:11:47 UTC; admin
Author: Taha Zaghdoudi [aut, cre]
Maintainer: Taha Zaghdoudi <zedtaha@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-12 21:10:11 UTC

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New package trendseries with initial version 1.1.0
Package: trendseries
Title: Extract Trends from Time Series
Version: 1.1.0
Description: Extract trends from monthly and quarterly economic time series. Provides two main functions: augment_trends() for pipe-friendly 'tibble' workflows and extract_trends() for direct time series analysis. Includes key econometric filters and modern parameter experimentation tools.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/viniciusoike/trendseries, https://viniciusoike.github.io/trendseries/
BugReports: https://github.com/viniciusoike/trendseries/issues
Imports: cli, dlm, glue, hpfilter, lubridate, mFilter, RcppRoll, stats, tibble, tsbox
Depends: R (>= 4.1.0)
Suggests: dplyr, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0), tidyr, xts
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-09 03:07:45 UTC; viniciusreginatto
Author: Vinicius Oike [aut, cre]
Maintainer: Vinicius Oike <viniciusoike@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-12 21:00:02 UTC

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New package deepspat with initial version 0.3.0
Package: deepspat
Title: Deep Compositional Spatial Models
Date: 2025-11-03
Version: 0.3.0
Maintainer: Quan Vu <quanvustats@gmail.com>
Description: Deep compositional spatial models are standard spatial covariance models coupled with an injective warping function of the spatial domain. The warping function is constructed through a composition of multiple elemental injective functions in a deep-learning framework. The package implements two cases for the univariate setting; first, when these warping functions are known up to some weights that need to be estimated, and, second, when the weights in each layer are random. In the multivariate setting only the former case is available. Estimation and inference is done using 'tensorflow', which makes use of graphics processing units. For more details see Zammit-Mangion et al. (2022) <doi:10.1080/01621459.2021.1887741>, Vu et al. (2022) <doi:10.5705/ss.202020.0156>, and Vu et al. (2023) <doi:10.1016/j.spasta.2023.100742>.
License: Apache License 2.0
Imports: data.table, dplyr, Matrix, methods, reticulate, keras, tensorflow, tfprobability, evd, SpatialExtremes, fields
SystemRequirements: TensorFlow (https://www.tensorflow.org/),
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-08 05:51:13 UTC; vudan
Author: Andrew Zammit-Mangion [aut], Quan Vu [aut, cre], Xuanjie Shao [aut]
Repository: CRAN
Date/Publication: 2025-11-12 21:00:08 UTC

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New package contoso with initial version 1.1.1
Package: contoso
Title: Dataset of the 'Contoso' Company
Version: 1.1.1
Description: A collection of synthetic datasets simulating sales transactions from a fictional company. The dataset includes various related tables that contain essential business and operational data, useful for analyzing sales performance and other business insights. Key tables included in the package are: - "sales": Contains data on individual sales transactions, including order details, pricing, quantities, and customer information. - "customer": Stores customer-specific details such as demographics, geographic location, occupation, and birthday. - "store": Provides information about stores, including location, size, status, and operational dates. - "orders": Contains details about customer orders, including order and delivery dates, store, and customer data. - "product": Contains data on products, including attributes such as product name, category, price, cost, and weight. - "date": A time-based table that includes date-related attributes like year, month, quarter, day, and working day indica [...truncated...]
License: MIT + file LICENSE
Imports: DBI, dplyr, cli, duckdb (>= 1.4.0)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
URL: https://usrbinr.github.io/contoso/, https://github.com/usrbinr/contoso
BugReports: https://github.com/usrbinr/contoso/issues
NeedsCompilation: no
Packaged: 2025-11-09 02:23:30 UTC; hagan
Author: Alejandro Hagan [aut, cre]
Maintainer: Alejandro Hagan <alejandro.hagan@outlook.com>
Repository: CRAN
Date/Publication: 2025-11-12 21:00:15 UTC

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New package CircaCP with initial version 0.1.2
Package: CircaCP
Title: Sleep and Circadian Metrics Estimation from Actigraphy Data
Version: 0.1.2
Maintainer: Shanshan Chen <schen3@vcu.edu>
Description: A generic sleep–wake cycle detection algorithm for analyzing unlabeled actigraphy data. The algorithm has been validated against event markers using data from the Multi-Ethnic Study of Atherosclerosis (MESA) Sleep study, and its methodological details are described in Chen and Sun (2024) <doi:10.1098/rsos.231468>. The package provides functions to estimate sleep metrics (e.g., sleep and wake onset times) and circadian rhythm metrics (e.g., mesor, phasor, interdaily stability, intradaily variability), as well as tools for screening actigraphy quality, fitting cosinor models, and performing parametric change point detection. The workflow can also be used to segment long actigraphy sequences into regularized structures for physical activity research.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: data.table, pracma, stats, tibble
Suggests: ggplot2, knitr, minpack.lm, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-11-08 20:12:09 UTC; schen3
Author: Shanshan Chen [aut, cre], Jonathon Jacobs [ctb]
Repository: CRAN
Date/Publication: 2025-11-12 11:10:02 UTC

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New package PhysioIndexR with initial version 0.1.0
Package: PhysioIndexR
Title: Physiological and Stress Indices for Crop Evaluation
Version: 0.1.0
Maintainer: Vinayaka <vinayaka.b3vs@gmail.com>
Description: Crop production systems are increasingly challenged by climate variability, resource limitations, and biotic–abiotic stresses. In this context, stress tolerance indices and physiological trait estimators are essential tools to identify stable and superior genotypes, quantify yield stability under stress versus non-stress conditions, and understand plant adaptive responses. The 'PhysioIndexR' package provides a unified framework to compute commonly used stress indices, physiological traits, and derived metrics that are critical in crop improvement, crop physiology, and other agricultural sciences. The package includes functions to calculate classical stress tolerance indices (See Lamba et al., 2023; <doi:10.1038/s41598-023-37634-8>) such as Tolerance (TOL), Stress Tolerance Index (STI), Stress Susceptibility Percentage Index (SSPI), Yield Index (YI), Yield Stability Index (YSI), Relative Stress Index (RSI), Mean Productivity (MP), Geometric Mean Productivity (GMP), Harmonic Mean ( [...truncated...]
Imports: stats
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1)
NeedsCompilation: no
Packaged: 2025-11-08 06:32:30 UTC; user
Author: Vinayaka [aut, cre] , Vengavasi Krishnapriya [aut, ctb] , T. Lakshmi Pathy [aut, ctb] , Amaresh [aut, ctb] , K. Gopalareddy [aut, ctb] , G.S. Suresha [aut, ctb] , P. Govindaraj [aut, ctb]
Repository: CRAN
Date/Publication: 2025-11-12 10:50:01 UTC

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Tue, 11 Nov 2025

New package ReliaShiny with initial version 0.4
Package: ReliaShiny
Title: A 'Shiny' App for Reliability Analysis
Version: 0.4
Description: An interactive web application for reliability analysis using the 'shiny' <https://shiny.posit.co/> framework. The app provides an easy-to-use interface for performing reliability analysis using 'WeibullR' <https://cran.r-project.org/package=WeibullR> and 'ReliaGrowR' <https://cran.r-project.org/package=ReliaGrowR>.
License: CC BY 4.0
Imports: magrittr, ReliaGrowR, ReliaPlotR, WeibullR, shiny, shinydashboard, shinyWidgets
Encoding: UTF-8
URL: https://paulgovan.github.io/ReliaShiny/, https://github.com/paulgovan/ReliaShiny
BugReports: https://github.com/paulgovan/ReliaShiny/issues
Suggests: knitr, rmarkdown, shinytest2, testthat (>= 3.0.0), WeibullR.learnr
NeedsCompilation: no
Packaged: 2025-11-07 14:43:32 UTC; paulgovan
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 22:10:02 UTC

More information about ReliaShiny at CRAN
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New package wstdiff with initial version 1.0.0
Package: wstdiff
Version: 1.0.0
Title: Welch-Satterthwaite Approximation for t-Distribution Differences
Description: Implements the Welch-Satterthwaite approximation for differences of non-standardized t-distributed random variables in both univariate and multivariate settings. The package provides methods for computing effective degrees of freedom and scale parameters, as well as distribution functions for the approximated difference distribution. The methodology extends the classical Welch-Satterthwaite framework from variance combinations to t-distribution differences through careful moment matching. Methods build on the classical Welch-Satterthwaite approach described in Welch (1947) <doi:10.1093/biomet/34.1-2.28> and Satterthwaite (1946) <doi:10.2307/3002019>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0), mvtnorm, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-06 20:47:04 UTC; API18340
Author: Yusuke Yamaguchi [aut, cre]
Maintainer: Yusuke Yamaguchi <yamagubed@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 21:40:02 UTC

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New package vws with initial version 0.3.0
Package: vws
Title: Vertical Weighted Strips
Version: 0.3.0
Maintainer: Andrew M. Raim <andrew.raim@gmail.com>
Description: A reference implementation of the Vertical Weighted Strips method explored by Raim, Livsey, and Irimata (2025) <doi:10.48550/arXiv.2401.09696> for rejection sampling.
URL: https://github.com/andrewraim/vws
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Rcpp, fntl
LinkingTo: Rcpp, fntl
Suggests: knitr, rmarkdown, quarto, statmod, tidyverse
VignetteBuilder: quarto
NeedsCompilation: yes
Packaged: 2025-11-06 15:34:48 UTC; araim
Author: Andrew M. Raim [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-11 21:20:02 UTC

More information about vws at CRAN
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New package tidysynthesis with initial version 0.1.2
Package: tidysynthesis
Title: A Common API for Synthesizing Data
Version: 0.1.2
Maintainer: Aaron R. Williams <awilliams@urban.org>
Description: A system built on 'tidymodels' for generating synthetic tabular data. We provide tools for ordering a sequential synthesis, feature and target engineering, sampling, hyperparameter tuning, enforcing constraints, and adding extra noise during a synthesis.
URL: https://ui-research.github.io/tidysynthesis-documentation/
BugReports: https://github.com/UrbanInstitute/tidysynthesis/issues
Depends: R (>= 4.1.0)
Imports: dplyr, forcats, parsnip, pillar, purrr, progressr, recipes, rlang, rsample, stringr, tibble, tidyr (>= 1.0.0), tune, vctrs, workflows, yardstick, ExtDist, dapper
Suggests: hardhat, palmerpenguins, poissonreg, randomForest, ranger, rpart, rpart.LAD (>= 0.1.2), testthat (>= 2.1.0), usethis, VGAM
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-11-06 15:30:08 UTC; aaronwilliams
Author: Aaron R. Williams [aut, cre] , Kyle Ueyama [aut], Gabe Morrison [aut] , Jeremy Seeman [aut] , Elyse McFalls [ctb], Claire Morton [ctb], Livia Mucciolo [ctb], Madeline Pickens [ctb], Noah Zwiefel [ctb], The Urban Institute [cph]
Repository: CRAN
Date/Publication: 2025-11-11 21:20:07 UTC

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New package sdstudio with initial version 0.1.3
Package: sdstudio
Title: Companion Application for the 'surveydown' Survey Platform
Version: 0.1.3
Author: Pingfan Hu [aut, cre, cph] , John Paul Helveston [aut, cph] , Bogdan Bunea [aut, cph]
Maintainer: Pingfan Hu <pingfan0727@gmail.com>
Description: Companion package that supports the 'surveydown' survey platform (<https://surveydown.org>). The default method for working with a 'surveydown' survey is to edit the plain text 'survey.qmd' and 'app.R' files. With 'sdstudio', you can create, preview and manage surveys with a 'shiny' application as a graphical user interface.
License: MIT + file LICENSE
URL: https://sdstudio.surveydown.org
BugReports: https://github.com/surveydown-dev/sdstudio/issues
Depends: R (>= 4.1.0)
Imports: bslib, DBI, dotenv, DT, htmltools, later, pool, RPostgres, shiny, shinyAce, surveydown
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-06 23:05:29 UTC; pingfan
Repository: CRAN
Date/Publication: 2025-11-11 21:40:07 UTC

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New package powerprior with initial version 1.0.0
Package: powerprior
Version: 1.0.0
Title: Conjugate Power Priors for Bayesian Analysis of Normal Data
Description: Implements conjugate power priors for efficient Bayesian analysis of normal data. Power priors allow principled incorporation of historical information while controlling the degree of borrowing through a discounting parameter (Ibrahim and Chen (2000) <doi:10.1214/ss/1009212519>). This package provides closed-form conjugate representations for both univariate and multivariate normal data using Normal-Inverse-Chi-squared and Normal-Inverse-Wishart distributions, eliminating the need for MCMC sampling. The conjugate framework builds upon standard Bayesian methods described in Gelman et al. (2013, ISBN:978-1439840955).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, MASS, LaplacesDemon, ggplot2, shiny, shinydashboard, shinyjs, DT, dplyr, tidyr, rlang
Suggests: testthat (>= 3.0.0), rmarkdown
NeedsCompilation: no
Packaged: 2025-11-06 20:48:42 UTC; API18340
Author: Yusuke Yamaguchi [aut, cre], Yifei Huang [aut]
Maintainer: Yusuke Yamaguchi <yamagubed@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 21:40:13 UTC

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New package OmicsPrepR with initial version 0.1.1
Package: OmicsPrepR
Title: Unified Preprocessing Toolkit for Proteomics and Metabolomics
Version: 0.1.1
Maintainer: Isaac Osei <ikemillar65@gmail.com>
Description: Provides unified workflows for quality control, normalization, and visualization of proteomic and metabolomic data. The package simplifies preprocessing through automated imputation, scaling, and principal component analysis (PCA)-based exploratory analysis, enabling researchers to prepare omics datasets efficiently for downstream statistical and machine learning analyses.
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, stats, utils
Suggests: testthat (>= 3.0.0)
URL: https://github.com/ikemillar/OmicsPrepR
BugReports: https://github.com/ikemillar/OmicsPrepR/issues
NeedsCompilation: no
Packaged: 2025-11-06 19:13:18 UTC; isaacosei
Author: Isaac Osei [aut, cre], Dennis Opoku Boadu [aut], Chettupally Anil Carie [aut]
Repository: CRAN
Date/Publication: 2025-11-11 21:30:08 UTC

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New package MRStdCRT with initial version 0.1.1
Package: MRStdCRT
Title: Model-Robust Standardization in Cluster-Randomized Trials
Version: 0.1.1
Description: Implements model-robust standardization for cluster-randomized trials (CRTs). Provides functions that standardize user-specified regression models to estimate marginal treatment effects. The targets include the cluster-average and individual-average treatment effects, with utilities for variance estimation and example simulation datasets. Methods are described in Li, Tong, Fang, Cheng, Kahan, and Wang (2025) <doi:10.1002/sim.70270>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: dplyr (>= 1.0.0), geepack (>= 1.3-2), lme4 (>= 1.1-25), nlme (>= 3.1-150), magrittr (>= 2.0.0), rlang (>= 1.0.0), stats
VignetteBuilder: knitr
URL: https://github.com/deckardt98/MRStdCRT
BugReports: https://github.com/deckardt98/MRStdCRT/issues
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-11-07 00:42:23 UTC; HP
Author: Jiaqi Tong [aut], Changjun Li [aut, cre], Xi Fang [aut], Chao Cheng [aut], Bingkai Wang [aut], Fan Li [aut]
Maintainer: Changjun Li <changjun.li@yale.edu>
Repository: CRAN
Date/Publication: 2025-11-11 21:40:18 UTC

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New package ggincerta with initial version 0.1.0
Package: ggincerta
Title: Extend 'ggplot2' with Layers and Scales for Spatial Uncertainty Visualization
Version: 0.1.0
Description: Provide specialized 'ggplot2' layers and scales for spatial uncertainty visualization, including bivariate choropleth maps, pixel maps, glyph maps, and exceedance probability maps.
Imports: dplyr, grDevices, grid, gtable, rlang, scales, sf, stats, withr
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), vdiffr
Depends: ggplot2 (>= 3.5.0), R (>= 4.1.0)
LazyData: true
URL: https://github.com/maggiexma/ggincerta
BugReports: https://github.com/maggiexma/ggincerta/issues
NeedsCompilation: no
Packaged: 2025-11-07 13:13:56 UTC; maxueqi
Author: Xueqi Ma [aut, cre, cph], Emi Tanaka [aut, ths] , Weihao Li [ths], Quan Vu [ths], Francis Hui [ths]
Maintainer: Xueqi Ma <maggiexma07@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 22:00:02 UTC

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New package examly with initial version 0.1.1
Package: examly
Title: Statistical Metrics and Reporting Tool
Version: 0.1.1
Description: A 'Shiny'-based toolkit for item/test analysis. It is designed for multiple-choice, true-false, and open-ended questions. The toolkit is usable with datasets in 1-0 or other formats. Key analyses include difficulty, discrimination, response-option analysis, reports. The classical test theory methods used are described in Ebel & Frisbie (1991, ISBN:978-0132892314).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: shiny, dplyr, tidyr, purrr, stringr, readr, readxl, officer, flextable, glue, magrittr, jsonlite, tibble, htmltools
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, spelling, psychometric
VignetteBuilder: knitr
URL: https://github.com/ahmetcaliskan1987/examly
BugReports: https://github.com/ahmetcaliskan1987/examly/issues
Language: en-US
NeedsCompilation: no
Packaged: 2025-11-06 19:35:12 UTC; ahmetcaliskan
Author: Ahmet Caliskan [aut, cre], Abdullah Faruk Kilic [aut]
Maintainer: Ahmet Caliskan <ahmetcaliskan1987@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 21:30:02 UTC

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New package bigPLScox with initial version 0.6.0
Package: bigPLScox
Version: 0.6.0
Date: 2025-11-01
Depends: R (>= 4.0.0)
Imports: bigmemory, bigalgebra, bigSurvSGD, caret, doParallel, foreach, kernlab, methods, Rcpp, risksetROC, rms, sgPLS, survAUC, survcomp, survival
LinkingTo: BH, Rcpp, RcppArmadillo, bigmemory
Suggests: bench, knitr, plsRcox, mvtnorm, readr, rmarkdown, testthat (>= 3.0.0)
Title: Partial Least Squares for Cox Models with Big Matrices
Author: Frederic Bertrand [cre, aut] , Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Provides Partial least squares Regression and various regular, sparse or kernel, techniques for fitting Cox models for big data. Provides a Partial Least Squares (PLS) algorithm adapted to Cox proportional hazards models that works with 'bigmemory' matrices without loading the entire dataset in memory. Also implements a gradient-descent based solver for Cox proportional hazards models that works directly on 'bigmemory' matrices. Bertrand and Maumy (2023) <https://hal.science/hal-05352069>, and <https://hal.science/hal-05352061> highlighted fitting and cross-validating PLS-based Cox models to censored big data.
License: GPL-3
Encoding: UTF-8
URL: https://fbertran.github.io/bigPLScox/, https://github.com/fbertran/bigPLScox/
BugReports: https://github.com/fbertran/bigPLScox/issues/
Classification/MSC: 62N01, 62N02, 62N03, 62N99
VignetteBuilder: knitr
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2025-11-06 16:20:26 UTC; bertran7
Repository: CRAN
Date/Publication: 2025-11-11 21:20:15 UTC

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New package baserater with initial version 0.1.1
Package: baserater
Title: Base-Rate Item Evaluation and Typicality Scoring Using Large Language Models
Version: 0.1.1
Description: Download typicality rating datasets, generate new stereotype-based typicality ratings using large language models via the Inference Providers API (<https://huggingface.co/docs/inference-providers>), and evaluate them against human-annotated validation data. Also includes functions to extract stereotype strength and base-rate items from typicality matrices. For more details see Beucler et al. (2025) <doi:10.31234/osf.io/eqrfu_v1>.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: cli, dplyr, glue, readr, tibble, tidyr, httr2
Suggests: devtools, knitr, rmarkdown, tidyverse
VignetteBuilder: knitr
URL: https://jeremie-beucler.github.io/baserater/
NeedsCompilation: no
Packaged: 2025-11-07 12:50:49 UTC; lapsyde_user
Author: Jeremie Beucler [aut, cre]
Maintainer: Jeremie Beucler <jeremie.beucler@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 21:50:02 UTC

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New package LEdecomp with initial version 1.0.4
Package: LEdecomp
Title: Decompose Life Expectancy by Age (and Cause)
Version: 1.0.4
Date: 2025-11-06
Description: A set of all-cause and cause-specific life expectancy sensitivity and decomposition methods, including Arriaga (1984) <doi:10.2307/2061029>, others documented by Ponnapalli (2005) <doi:10.4054/DemRes.2005.12.7>, lifetable, numerical, and other algorithmic approaches such as Horiuchi et al (2008) <doi:10.1353/dem.0.0033>, or Andreev et al (2002) <doi:10.4054/DemRes.2002.7.14>.
License: GPL-3
LazyLoad: yes
LazyData: true
Imports: numDeriv, Rdpack, DemoDecomp, data.table, ggplot2
Depends: R (>= 4.3)
BugReports: https://github.com/timriffe/LEdecomp/issues
Encoding: UTF-8
URL: https://github.com/timriffe/LEdecomp
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-06 15:27:01 UTC; tim
Author: Tim Riffe [aut, cre] , David Atance [aut] , Josep Lledo [aut]
Maintainer: Tim Riffe <tim.riffe@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 10:10:02 UTC

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New package SelectBoost.beta with initial version 0.4.5
Package: SelectBoost.beta
Title: Stability-Selection via Correlated Resampling for Beta-Regression Models
Version: 0.4.5
Date: 2025-11-04
Depends: R (>= 4.0)
Imports: betareg, gamlss, gamlss.dist, glmnet, MASS, Rcpp, rlang, stats, withr
Suggests: future, future.apply, gamlss.lasso, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
Author: Frederic Bertrand [cre, aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Adds variable-selection functions for Beta regression models (both mean and phi submodels) so they can be used within the 'SelectBoost' algorithm. Includes stepwise AIC, BIC, and corrected AIC on betareg() fits, 'gamlss'-based LASSO/Elastic-Net, a pure 'glmnet' iterative re-weighted least squares-based selector with an optional standardization speedup, and 'C++' helpers for iterative re-weighted least squares working steps and precision updates. Also provides a fastboost_interval() variant for interval responses, comparison helpers, and a flexible simulator simulation_DATA.beta() for interval-valued data. For more details see Bertrand and Maumy (2023) <doi:10.7490/f1000research.1119552.1>.
License: GPL-3
Encoding: UTF-8
Classification/MSC: 62H11, 62J12, 62J99
VignetteBuilder: knitr
URL: https://fbertran.github.io/SelectBoost.beta/, https://github.com/fbertran/SelectBoost.beta/
BugReports: https://github.com/fbertran/SelectBoost.beta/issues/
NeedsCompilation: yes
Packaged: 2025-11-04 09:49:20 UTC; bertran7
Repository: CRAN
Date/Publication: 2025-11-11 09:20:09 UTC

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New package ONAM with initial version 1.0.0
Package: ONAM
Title: Fitting Interpretable Neural Additive Models Using Orthogonalization
Version: 1.0.0
Description: An algorithm for fitting interpretable additive neural networks for identifiable and visualizable feature effects using post hoc orthogonalization. Fit custom neural networks intuitively using established 'R' 'formula' notation, including interaction effects of arbitrary order while preserving identifiability to enable a functional decomposition of the prediction function. For more details see Koehler et al. (2025) <doi:10.1038/s44387-025-00033-7>.
License: MIT + file LICENSE
BugReports: https://github.com/Koehlibert/ONAM_R/issues
Depends: keras3, reticulate
Imports: dplyr, scales, rlang, ggplot2, pROC
Suggests: akima, RColorBrewer, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-06 09:07:04 UTC; koehler
Author: David Koehler [aut, cre]
Maintainer: David Koehler <koehler@imbie.uni-bonn.de>
Repository: CRAN
Date/Publication: 2025-11-11 09:50:18 UTC

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New package ISCAM with initial version 1.0.0
Package: ISCAM
Title: Companion to the Book "Investigating Statistical Concepts, Applications, and Methods"
Version: 1.0.0
Description: Introductory statistics methods to accompany "Investigating Statistical Concepts, Applications, and Methods" (ISCAM) by Beth Chance & Allan Rossman (2024) <https://rossmanchance.com/iscam4/>. Tools to introduce statistical concepts with a focus on simulation approaches. Functions are verbose, designed to provide ample output for students to understand what each function does. Additionally, most functions are accompanied with plots. The package is designed to be used in an educational setting alongside the ISCAM textbook.
License: MIT + file LICENSE
URL: https://iscam4.github.io/ISCAM/, https://github.com/ISCAM4/ISCAM
BugReports: https://github.com/ISCAM4/ISCAM/issues
Depends: R (>= 3.5)
Imports: graphics, stats
Suggests: testthat (>= 3.0.0), usethis, vdiffr (>= 1.0.8)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-23 17:19:28 UTC; visru
Author: Beth Chance [cre, aut, cph], Visruth Srimath Kandali [aut]
Maintainer: Beth Chance <bchance@calpoly.edu>
Repository: CRAN
Date/Publication: 2025-11-11 09:20:16 UTC

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New package healthiar with initial version 0.2.1
Package: healthiar
Title: Quantify and Monetize the Burden of Disease Attributable to Exposure
Version: 0.2.1
Description: This R package has been developed with a focus on air pollution and noise but can applied to other exposures. The initial development has been funded by the European Union project BEST-COST. Disclaimer: It is work in progress and the developers are not liable for any calculation errors or inaccuracies resulting from the use of this package. References (in chronological order): WHO (2003a) "Assessing the environmental burden of disease at national and local levels" <https://www.who.int/publications/i/item/9241546204> (accessed October 2025); WHO (2003b) "Comparative quantification of health risks: Conceptual framework and methodological issues" <doi:10.1186/1478-7954-1-1> (accessed October 2025); Miller & Hurley (2003) "Life table methods for quantitative impact assessments in chronic mortality" <doi:10.1136/jech.57.3.200> (accessed October 2025); Steenland & Armstrong (2006) "An Overview of Methods for Calculating the Burden of Disease Due to Specific Risk Fac [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, purrr, tibble, tidyr
Depends: R (>= 4.2.0)
LazyData: true
VignetteBuilder: knitr
Suggests: sf, terra, testthat, devtools, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-11-06 12:44:41 UTC; castal
Author: Alberto Castro [cre, aut] , Axel Luyten [aut] , Arno Pauwels [ctb] , Liliana Vazquez Fernandez [ctb] , Vanessa Gorasso [ctb] , Carl Michael Baravelli [ctb] , Susanne Breitner [ctb] , Maria Lepnurm [ctb] , Maria Jose Rueda Lopez [ctb] , Iracy Pimenta [...truncated...]
Maintainer: Alberto Castro <alberto.castrofernandez@swisstph.ch>
Repository: CRAN
Date/Publication: 2025-11-11 10:00:09 UTC

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New package fwtraits with initial version 1.0.0
Package: fwtraits
Title: Extract Species Ecological Parameters from Www.freshwaterecology.info
Version: 1.0.0
Description: Support the extraction and seamless integration of species ecological traits or preferences from the www.freshwaterecology.info into several ecological model workflows. During data extraction, different taxonomic levels are acceptable, including species, genus, and family, based on the availability of data in the database. The data is cached after the first search and can be accessed during and after online interactions. Only scientific names are acceptable in the search; local or English names are not allowed. A user API key is required to start using the package.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/AnthonyBasooma/fwtraits, https://anthonybasooma.github.io/fwtraits/, https://github.com/AnthonyBasooma/fwtraits/releases/tag/V1.0.0
BugReports: https://github.com/AnthonyBasooma/fwtraits/issues
Depends: R (>= 4.1.0)
Imports: curl, httr2, jsonlite, methods, utils, rstudioapi, R.cache
Suggests: ggplot2, knitr (>= 1.48), rmarkdown (>= 2.28), sf, vcr, dplyr, tidytext, testthat (>= 3.0.0), FD, tidyr, tibble, stats, cluster
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2025-11-06 14:53:10 UTC; anthbasooma
Author: Anthony Basooma [aut, cre] , Florian Borgwardt [ctb, fnd] , Thomas Hein [ctb, fnd, ths] , Sami Domisch [ctb], Merret Buurman [ctb], Vanessa Bremerich [ctb], Sonia Steffany Recinos Brizuela [ctb], Martin Tschikof [ctb], Astrid Schmidt-Kloiber [ctb, fn [...truncated...]
Maintainer: Anthony Basooma <anthony.basooma@boku.ac.at>
Repository: CRAN
Date/Publication: 2025-11-11 10:00:16 UTC

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New package fioRa with initial version 0.3.4
Package: fioRa
Title: Mass-Spectra Prediction Using the FIORA Model
Version: 0.3.4
Date: 2025-11-03
Description: Provides a wrapper for the python module 'FIORA' as well as a 'shiny'-App to facilitate data processing and visualization. 'FIORA' allows to predict Mass-Spectra based on the SMILES code of chemical compounds. It is described in the Nature Communications article by Nowatzky (2025) <doi:10.1038/s41467-025-57422-4>.
License: MIT + file LICENSE
Imports: bslib, config, golem, InterpretMSSpectrum, rcdk, shiny, shinyjs, waiter
Encoding: UTF-8
URL: https://github.com/janlisec/fioRa
BugReports: https://github.com/janlisec/fioRa/issues
Suggests: reticulate, spelling, testthat (>= 3.0.0)
Language: en-US
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-11-06 10:12:22 UTC; jlisec
Author: Jan Lisec [aut, cre]
Maintainer: Jan Lisec <jan.lisec@bam.de>
Repository: CRAN
Date/Publication: 2025-11-11 09:50:08 UTC

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New package eve with initial version 1.0
Package: eve
Version: 1.0
Date: 2025-10-20
Title: The Eigenvalues Entropy as a Classifier Evaluation Measure
Author: Doulaye Dembele [aut, cre]
Maintainer: Doulaye Dembele <doulaye@igbmc.fr>
Depends: R (>= 4.0),
Description: The confusion matrix (CM) is used to get a classifier's evaluation measure in order to select a method among many. A stochastic matrix and its transformation are computed from the CM. The eigenvalues of the transformed symmetric matrix are used to get an entropy which appears to be a good evaluation measure. Many other measures, commonly used, are provided for comparison purpose.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-11-06 09:15:14 UTC; doulaye
Repository: CRAN
Date/Publication: 2025-11-11 09:50:13 UTC

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New package DIVINE with initial version 0.1.0
Package: DIVINE
Title: Curated Datasets and Tools for Epidemiological Data Analysis
Version: 0.1.0
Maintainer: Natalia Pallares <npallares@igtp.cat>
Description: Curated datasets and intuitive data management functions to streamline epidemiological data workflows. It is designed to support researchers in quickly accessing clean, structured data and applying essential cleaning, summarizing, visualization, and export operations with minimal effort. Whether you're preparing a cohort for analysis or creating reports, 'DIVINE' makes the process more efficient, transparent, and reproducible.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://bruigtp.github.io/DIVINE/
BugReports: https://github.com/bruigtp/DIVINE/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 4.1)
LazyData: true
Imports: dplyr, fmsb, ggplot2, gtsummary, haven, openxlsx, plotly, purrr, rlang, scales, stringr, tibble, tidyselect
NeedsCompilation: no
Packaged: 2025-11-06 13:23:26 UTC; jcarmezim
Author: Natalia Pallares [aut, cre], Joao Carmezim [aut], Pau Satorra [aut], Lucia Blanc [aut], Cristian Tebe [aut]
Repository: CRAN
Date/Publication: 2025-11-11 10:00:21 UTC

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New package Capsule with initial version 0.2.0
Package: Capsule
Title: Comprehensive Reproducibility Framework for R and Bioinformatics Analysis
Version: 0.2.0
Description: A comprehensive reproducibility framework designed for R and bioinformatics workflows. Automatically captures the entire analysis environment including R session info, package versions, external tool versions ('Samtools', 'STAR', 'BWA', etc.), 'conda' environments, reference genomes, data provenance with smart checksumming for large files, parameter choices, random seeds, and hardware specifications. Generates executable scripts with 'Docker', 'Singularity', and 'renv' configurations. Integrates with workflow managers ('Nextflow', 'Snakemake', 'WDL', 'CWL') to ensure complete reproducibility of computational research workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: renv, jsonlite, digest, yaml, cli, utils
Suggests: testthat (>= 3.0.0)
BugReports: https://github.com/SAADAT-Abu/Capsule/issues
NeedsCompilation: no
Packaged: 2025-11-06 13:18:57 UTC; saadat
Author: Abu SAADAT [aut, cre]
Maintainer: Abu SAADAT <saadatabu1996@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-11 10:00:29 UTC

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Mon, 10 Nov 2025

New package toon with initial version 0.0.1
Package: toon
Title: Token-Oriented Object Notation (TOON)
Version: 0.0.1
Maintainer: Bernardo Lares <laresbernardo@gmail.com>
Description: Token-Oriented Object Notation (TOON) is a compact, human-readable serialization format designed for passing structured data to Large Language Models with significantly reduced token usage. It's intended for LLM input as a lossless, drop-in representation of JSON data.
Depends: R (>= 3.5.0)
URL: https://github.com/laresbernardo/toon
BugReports: https://github.com/laresbernardo/toon/issues
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-05 17:42:04 UTC; bernardo
Author: Bernardo Lares [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-10 08:20:02 UTC

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New package tidycensuskr with initial version 0.2.3
Package: tidycensuskr
Title: Easy Access for South Korea Census Data and Boundaries
Version: 0.2.3
Description: Census and administrative data in South Korea are a basic source of quantitative and mixed-methods research for social and urban scientists. This package provides a 'sf' (Pebesma et al., 2024 <doi:10.32614/CRAN.package.sf>) based standardized workflow based on direct open API access to the major census and administrative data sources and pre-generated files in South Korea.
License: MIT + file LICENSE
LazyData: true
Depends: R (>= 4.2.0)
Imports: sf, dplyr, tidyr, kosis, utils, rlang
Suggests: knitr, withr, purrr, rmarkdown, ggplot2, biscale, cowplot, tmap, geodata, testthat (>= 3.0.0), ggspatial, spdep
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://github.com/sigmafelix/tidycensuskr, https://sigmafelix.github.io/tidycensuskr/, https://sigmafelix.r-universe.dev/tidycensuskr/
BugReports: https://github.com/sigmafelix/tidycensuskr/issues
NeedsCompilation: no
Packaged: 2025-11-04 11:40:35 UTC; isong
Author: Insang Song [aut, cre] , Sohyun Park [aut, ctb] , Hyesop Shin [aut, ctb]
Maintainer: Insang Song <geoissong@snu.ac.kr>
Repository: CRAN
Date/Publication: 2025-11-10 09:00:02 UTC

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New package pecan with initial version 0.1.0
Package: pecan
Title: Portfolio for Economic Complexity Analysis and Navigation
Version: 0.1.0
Maintainer: Shiying Xiao <shiying.xiao@outlook.com>
Description: A portfolio of tools for economic complexity analysis and industrial upgrading navigation. The package implements essential measures in international trade and development economics, including the relative comparative advantage (RCA), economic complexity index (ECI) and product complexity index (PCI). It enables users to analyze export structures, explore product relatedness, and identify potential upgrading paths grounded in economic theory, following the framework in Hausmann et al. (2014) <doi:10.7551/mitpress/9647.001.0001>.
License: GPL (>= 3)
URL: https://github.com/Carol-seven/pecan
BugReports: https://github.com/Carol-seven/pecan/issues
Encoding: UTF-8
Imports: Rdpack, dplyr, tibble, tidyr
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-05 21:44:55 UTC; csxiao
Author: Shiying Xiao [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-11-10 08:30:07 UTC

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New package hdf5lib with initial version 1.14.6.4
Package: hdf5lib
Title: Headers and Static Libraries for 'HDF5'
Version: 1.14.6.4
Description: 'HDF5' (Hierarchical Data Format 5) is a high-performance library and file format for storing and managing large, complex data. This package provides the static libraries and headers for the 'HDF5' 'C' library (release 1.14.6). It is intended for R package developers to use in the 'LinkingTo' field, which eliminates the need for users to install system-level 'HDF5' dependencies. This build is compiled with thread-safety enabled and supports dynamic loading of external compression filters. 'HDF5' is developed by 'The HDF Group' <https://www.hdfgroup.org/>.
URL: https://github.com/cmmr/hdf5lib
BugReports: https://github.com/cmmr/hdf5lib/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
NeedsCompilation: yes
Suggests: testthat (>= 3.0.0)
Packaged: 2025-11-05 17:19:40 UTC; Daniel
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-10 08:20:20 UTC

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New package CDF with initial version 0.1.0
Package: CDF
Title: Centroid Decision Forest for High-Dimensional Classification
Version: 0.1.0
Description: Implements the Centroid Decision Forest (CDF) as a single user-facing function CDF(). The method selects discriminative features via a multi-class class separability score (CSS), splits by nearest class centroid, and aggregates tree votes to produce predictions and class probabilities. Returns CSS-based feature importance as well. Amjad Ali, Saeed Aldahmani, Zardad Khan (2025) <doi:10.48550/arXiv.2503.19306>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6)
Imports: matrixStats, utils
NeedsCompilation: no
Packaged: 2025-11-05 17:12:37 UTC; Admin
Author: Amjad Ali [aut, cre], Saeed Aldahmani [aut], Zardad Khan [aut]
Maintainer: Amjad Ali <amjadali@uaeu.ac.ae>
Repository: CRAN
Date/Publication: 2025-11-10 08:20:32 UTC

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Sun, 09 Nov 2025

New package tsg with initial version 0.1.0
Package: tsg
Title: Generate Publication-Ready Statistical Tables
Version: 0.1.0
Description: A collection of functions for generating frequency tables and cross-tabulations of categorical variables. The resulting tables can be exported to various formats (Excel, PDF, HTML, etc.) with extensive formatting and layout customization options.
Author: Bhas Abdulsamad [aut, cre, cph]
Maintainer: Bhas Abdulsamad <aeabdulsamad@gmail.com>
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: haven, openxlsx, fs, forcats, purrr, tidyr, glue, jsonlite (>= 2.0.0), yaml (>= 2.3.10), dplyr (>= 1.1.0), stringr (>= 1.4.0), rlang (>= 1.0.2)
Suggests: testthat (>= 3.0.0), utils (>= 4.0.0), cli, devtools, knitr, rmarkdown, tibble, withr
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
URL: https://yng-me.github.io/tsg/, https://github.com/yng-me/tsg
BugReports: https://github.com/yng-me/tsg/issues
NeedsCompilation: no
Packaged: 2025-11-05 15:55:18 UTC; bhasabdulsamad
Repository: CRAN
Date/Publication: 2025-11-09 16:30:02 UTC

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New package shinyOAuth with initial version 0.1.1
Package: shinyOAuth
Title: Provider-Agnostic OAuth Authentication for 'shiny' Applications
Version: 0.1.1
Description: Provides a simple, configurable, provider-agnostic 'OAuth 2.0' and 'OpenID Connect' (OIDC) authentication framework for 'shiny' applications using 'S7' classes. Defines providers, clients, and tokens, as well as various supporting functions and a 'shiny' module. Features include cross-site request forgery (CSRF) protection, state encryption, 'Proof Key for Code Exchange' (PKCE) handling, validation of OIDC identity tokens (nonces, signatures, claims), automatic user info retrieval, asynchronous flows, and hooks for audit logging.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: S7 (>= 0.2.0), R6 (>= 2.0), rlang (>= 1.0.0), shiny (>= 1.7.0), jsonlite (>= 1.0), openssl (>= 2.0.0), httr2 (>= 1.0.0), cachem (>= 1.1.0), jose (>= 1.2.0), cli (>= 3.0.0), htmltools (>= 0.5.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, webfakes, promises, future, withr, later, sodium, shinytest2, xml2
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
URL: https://github.com/lukakoning/shinyOAuth, https://lukakoning.github.io/shinyOAuth/
BugReports: https://github.com/lukakoning/shinyOAuth/issues
NeedsCompilation: no
Packaged: 2025-11-05 15:15:20 UTC; dhrko
Author: Luka Koning [aut, cre, cph]
Maintainer: Luka Koning <koningluka@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-09 16:10:02 UTC

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New package shinyfa with initial version 0.0.1
Package: shinyfa
Title: Analyze the File Contents of 'shiny' Directories
Version: 0.0.1
Description: Provides tools for analyzing and understanding the file contents of large 'shiny' application directories. The package extracts key information about render functions, reactive functions, and their inputs from app files, organizing them into structured data frames for easy reference. This streamlines the onboarding process for new contributors and helps identify areas for optimization in complex 'shiny' codebases with multiple files and sourcing chains.
URL: https://github.com/dalyanalytics/shinyfa, https://dalyanalytics.github.io/shinyfa/
BugReports: https://github.com/dalyanalytics/shinyfa/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stringr
Suggests: dplyr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-05 15:49:33 UTC; jasminedaly
Author: Jasmine Daly [aut, cre]
Maintainer: Jasmine Daly <jasmine.dumas@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-09 16:30:08 UTC

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New package phscs with initial version 0.1.0
Package: phscs
Title: Philippine Statistical Classification Systems
Version: 0.1.0
Description: A unified interface to access and manipulate various Philippine statistical classifications. It allows users to retrieve, filter, and harmonize classification data, making it easier to work with Philippine statistical data in R.
Author: Bhas Abdulsamad [aut, cre, cph]
Maintainer: Bhas Abdulsamad <aeabdulsamad@gmail.com>
License: MIT + file LICENSE
Encoding: UTF-8
Imports: purrr (>= 1.0.2), jsonlite (>= 1.8.8), dplyr (>= 1.1.0), tidyr (>= 1.3.1), stringr (>= 1.4.0)
Suggests: rlang (>= 1.0.2), testthat (>= 3.0.0), utils (>= 4.0.0), cli, gt, rmarkdown, knitr
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
BugReports: https://github.com/yng-me/phscs/issues
URL: https://yng-me.github.io/phscs/, https://github.com/yng-me/phscs
NeedsCompilation: no
Packaged: 2025-11-05 17:03:05 UTC; bhasabdulsamad
Repository: CRAN
Date/Publication: 2025-11-09 16:40:02 UTC

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New package npANCOVA with initial version 0.1.0
Package: npANCOVA
Title: Nonparametric ANCOVA Methods
Version: 0.1.0
Date: 2025-11-04
Description: Nonparametric methods for analysis of covariance (ANCOVA) are distribution-free and provide a flexible statistical framework for situations where the assumptions of parametric ANCOVA are violated or when the response variable is ordinal. This package implements several well-known nonparametric ANCOVA procedures, including Quade, Puri and Sen, McSweeney and Porter, Burnett and Barr, Hettmansperger and McKean, Shirley, and Puri-Sen-Harwell-Serlin. The package provides user-friendly functions to apply these methods in practice.
License: GPL-3
URL: https://github.com/Mina7Jahangiri7/npANCOVA
BugReports: https://github.com/Mina7Jahangiri7/npANCOVA/issues
Depends: R (>= 4.0)
Imports: stats
Encoding: UTF-8
NeedsCompilation: no
Author: Mina Jahangiri [aut, cre] , Ali Taghavi Rad [aut] , Keith Goldfeld [aut] , Anoshirvan Kazemnejad [ctb] , Shayan Mostafaei [ctb]
Maintainer: Mina Jahangiri <minajahangiri984@gmail.com>
Packaged: 2025-11-05 15:43:38 UTC; USER
Repository: CRAN
Date/Publication: 2025-11-09 16:30:13 UTC

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New package funviewR with initial version 0.1.0
Package: funviewR
Title: Visualize Function Call Dependencies in R Source Code
Version: 0.1.0
Description: Provides tools to analyze R source code and detect function definitions and their internal dependencies across multiple files. Creates interactive network visualizations using 'visNetwork' to display function call relationships, with detailed tooltips showing function arguments, return values, and documentation. Supports both individual files and directory-based analysis with automatic file detection. Useful for understanding code structure, identifying dependencies, and documenting R projects.
License: GPL-3
URL: https://github.com/deamonpog/funviewR
BugReports: https://github.com/deamonpog/funviewR/issues
Encoding: UTF-8
Imports: codetools, visNetwork, igraph, htmltools, magrittr
Suggests: htmlwidgets
NeedsCompilation: no
Packaged: 2025-11-05 17:13:01 UTC; pog66
Author: Chathura Jayalath [aut, cre]
Maintainer: Chathura Jayalath <acj.chathura@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-09 16:40:07 UTC

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New package ffm with initial version 0.1.1
Package: ffm
Title: Download Official Spatial Data from Germany
Version: 0.1.1
Description: Provides quick and easy access to official spatial data from Germany’s Federal Agency for Cartography and Geodesy (BKG) <https://gdz.bkg.bund.de/>. Interfaces various web feature services (WFS) and download servers. Allows retrieval, caching and filtering with a wide range of open geodata products, including administrative or non-administrative boundaries, land cover, elevation models, geographic names, and points of interest covering Germany. Can be particularly useful for linking regional statistics to their spatial representations and streamlining workflows that involve spatial data of Germany.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: cli, rlang, zip, httr2, xml2, sf
Suggests: tibble, terra, arrow, ggplot2, knitr, rmarkdown, testthat (>= 3.2.2)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-05 15:00:25 UTC; PC
Author: Jonas Lieth [aut, cre, cph]
Maintainer: Jonas Lieth <jonas.lieth@gesis.org>
Repository: CRAN
Date/Publication: 2025-11-09 16:10:09 UTC

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Fri, 07 Nov 2025

New package GALAHAD with initial version 1.0.0
Package: GALAHAD
Title: Geometry-Adaptive Lyapunov-Assured Hybrid Optimizer
Version: 1.0.0
Author: Richard A. Feiss [aut, cre]
Maintainer: Richard A. Feiss <feiss026@umn.edu>
Description: Implements the GALAHAD algorithm (Geometry-Adaptive 'Lyapunov'-Assured Hybrid Optimizer), combining 'Riemannian' metrics, 'Lyapunov' stability checks, and trust-region methods for stable optimization of mixed-geometry parameters. Designed for biological modeling (germination, dose-response, survival) where rates, concentrations, and unconstrained variables coexist. Developed at the Minnesota Center for Prion Research and Outreach (MNPRO), University of Minnesota. Based on Conn et al. (2000) <doi:10.1137/1.9780898719857>, Amari (1998) <doi:10.1162/089976698300017746>, Beck & Teboulle (2003) <doi:10.1016/S0167-6377(02)00231-6>, Nesterov (2017) <https://www.jstor.org/stable/resrep30722>, and Walne et al. (2020) <doi:10.1002/agg2.20098>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
BuildResaveData: true
Packaged: 2025-11-04 00:52:03 UTC; feiss026
Repository: CRAN
Date/Publication: 2025-11-07 14:10:12 UTC

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New package tout with initial version 1.0.3
Package: tout
Title: Optimal Sample Size and Progression Criteria for Three-Outcome Trials
Version: 1.0.3
Description: Find the optimal decision rules (AKA progression criteria) and sample size for clinical trials with three (stop/pause/go) outcomes. Both binary and continuous endpoints can be accommodated, as can cases where an adjustment is planned following a pause outcome. For more details see Wilson et al. (2024) <doi:10.1186/s12874-024-02351-x>.
License: MIT + file LICENSE
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vdiffr
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://github.com/DTWilson/tout, https://dtwilson.github.io/tout/
BugReports: https://github.com/DTWilson/tout/issues
NeedsCompilation: no
Packaged: 2025-11-05 13:16:03 UTC; meddwilb
Author: Duncan Wilson [aut, cre, cph]
Maintainer: Duncan Wilson <d.t.wilson@leeds.ac.uk>
Repository: CRAN
Date/Publication: 2025-11-07 14:00:02 UTC

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New package toscca with initial version 0.1.0
Package: toscca
Title: Thresholded Ordered Sparse CCA
Version: 0.1.0
Description: Performs Thresholded Ordered Sparse Canonical Correlation Analysis (CCA). For more details see Senar, N. (2024) <doi:10.1093/bioadv/vbae021> and Senar, N. et al. (2025) <doi:10.48550/arXiv.2503.15140>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: ClusterR, RColorBrewer, cluster, knitr, rmarkdown, testthat (>= 3.0.0)
Imports: doParallel, foreach, parallel, forecast, ggplot2, lme4, scales, graphics, stats, utils, grDevices, mcompanion, EnvStats, MASS
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-05 11:53:54 UTC; PC
Author: Nuria Senar [aut, cre]
Maintainer: Nuria Senar <n.senarvilladeamigo@amsterdamumc.nl>
Repository: CRAN
Date/Publication: 2025-11-07 13:40:02 UTC

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New package rocrateR with initial version 0.0.1
Package: rocrateR
Title: RO-Crate R Package Wrapper
Version: 0.0.1
Description: R package for creating, manipulating and reading RO-Crates. Latest supported version of the specification: <https://w3id.org/ro/crate/1.2/>.
License: MIT + file LICENSE
Suggests: spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-GB
URL: https://github.com/ResearchObject/ro-crate-r/
BugReports: https://github.com/ResearchObject/ro-crate-r/issues/
Imports: digest, jsonlite, tibble, zip
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-11-05 13:21:05 UTC; robertovillegas-diaz
Author: Roberto Villegas-Diaz [aut, cre] , Research Object community [cph]
Maintainer: Roberto Villegas-Diaz <r.villegas-diaz@outlook.com>
Repository: CRAN
Date/Publication: 2025-11-07 14:00:09 UTC

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New package repsim with initial version 0.1.0
Package: repsim
Title: Measures of Representational Similarity Across Models
Version: 0.1.0
Description: Provides a collection of methods for quantifying representational similarity between learned features or multivariate data. The package offers an efficient 'C++' backend, designed for applications in machine learning, computational neuroscience, and multivariate statistics. See Klabunde et al. (2025) <doi:10.1145/3728458> for a comprehensive overview of the topic.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: C++17
Imports: Rcpp (>= 1.1.0), Rdpack
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Packaged: 2025-11-04 19:45:56 UTC; kyou
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kisung.you@outlook.com>
Repository: CRAN
Date/Publication: 2025-11-07 14:00:14 UTC

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New package randotools with initial version 0.2.3
Package: randotools
Title: Create Randomization Lists
Version: 0.2.3
Description: Randomization lists are an integral component of randomized clinical trials. 'randotools' provides tools to easily create such lists.
License: GPL (>= 3)
URL: https://ctu-bern.github.io/randotools/, https://github.com/CTU-Bern/randotools
BugReports: https://github.com/CTU-Bern/randotools/issues
Encoding: UTF-8
Imports: cli, dplyr, glue, ggplot2, patchwork, purrr, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
Depends: R (>= 4.1)
LazyData: true
NeedsCompilation: no
Packaged: 2025-11-05 10:55:41 UTC; haynes
Author: Alan G Haynes [aut, cre]
Maintainer: Alan G Haynes <alan.haynes@unibe.ch>
Repository: CRAN
Date/Publication: 2025-11-07 13:40:07 UTC

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New package PNC with initial version 0.1.0
Package: PNC
Title: Phylogenetic Niche Conservatism Analysis for Ecological Communities
Version: 0.1.0
Date: 2025-11-5
Maintainer: Yan He <heyan@njfu.edu.cn>
Description: Provides functions for testing phylogenetic niche conservatism, a key prerequisite in community assembly studies. The package integrates global functional trait data across major taxonomic groups and implements methods such as Pagel's Lambda and Blomberg's K to quantify phylogenetic signals in ecological communities. Methods are described in Münkemüller et al. (2012) <doi:10.1111/j.2041-210X.2012.00196.x>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: ape, phytools, stats, utils, geiger
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-05 01:15:58 UTC; Administrator
Author: Yan He [aut, cre], Yu Xia [aut], Rui Yang [aut], Lingfeng Mao [aut]
Repository: CRAN
Date/Publication: 2025-11-07 13:40:13 UTC

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New package opImputation with initial version 0.6
Package: opImputation
Title: Optimal Selection of Imputation Methods for Pain-Related Numerical Data
Version: 0.6
Description: A model-agnostic framework for selecting dataset-specific imputation methods for missing values in numerical data related to pain. Lotsch J, Ultsch A (2025) "A model-agnostic framework for dataset-specific selection of missing value imputation methods in pain-related numerical data" Canadian Journal of Pain (in minor revision).
Depends: R (>= 3.5.0)
Imports: parallel, Rfit, methods, stats, caret, ABCanalysis, ggplot2, future, future.apply, progressr, missForest, utils, mice, miceRanger, multiUS, Amelia, mi, reshape2, DataVisualizations, abind, cowplot, twosamples, ggh4x, ggrepel, tools
LazyData: true
Suggests: testthat (>= 3.0.0)
License: GPL-3
URL: https://github.com/JornLotsch/opImputation
Encoding: UTF-8
Date: 2025-11-04
NeedsCompilation: no
Packaged: 2025-11-04 12:22:21 UTC; joern
Author: Jorn Lotsch [aut, cre] , Alfred Ultsch [aut]
Maintainer: Jorn Lotsch <j.lotsch@em.uni-frankfurt.de>
Repository: CRAN
Date/Publication: 2025-11-07 13:50:02 UTC

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New package hashmapR with initial version 1.0.0
Package: hashmapR
Title: Fast, Vectorized Hashmap
Version: 1.0.0
Description: A fast, vectorized hashmap that is built on top of C++ std::unordered_map <https://en.cppreference.com/w/cpp/container/unordered_map.html>. The map can hold any R object as key / value as long as it is serializable and supports vectorized insertion, lookup, and deletion.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/svensglinz/hashmapR
Suggests: testthat (>= 3.0.0)
SystemRequirements: C++20
NeedsCompilation: yes
Packaged: 2025-11-04 10:00:47 UTC; sven
Author: Sven Glinz [aut, cre]
Maintainer: Sven Glinz <svenglinz@proton.me>
Repository: CRAN
Date/Publication: 2025-11-07 14:00:20 UTC

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New package fasttreeid with initial version 1.0.0
Package: fasttreeid
Title: Identifies Parameters in a Tree-Shaped SCM
Version: 1.0.0
Description: Implements the algorithm by Briefs and Bläser (2025) <https://openreview.net/forum?id=8PHOPPH35D>, based on the approach of Gupta and Bläser (2024) <doi:10.1609/aaai.v38i18.30023>. It determines, for a structural causal model (SCM) whose directed edges form a tree, whether each parameter is unidentifiable, 1-identifiable or 2-identifiable (other cases cannot occur), using a randomized algorithm with provable running time O(n^3 log^2 n).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp
Suggests: gmp, testthat
LinkingTo: Rcpp
URL: https://github.com/yasminebriefs/FastTreeID
BugReports: https://github.com/yasminebriefs/FastTreeID/issues
NeedsCompilation: yes
Packaged: 2025-11-05 07:24:49 UTC; yasmine
Author: Yasmine Briefs [aut, cre], Markus Blaeser [aut]
Maintainer: Yasmine Briefs <ybriefs@mpi-inf.mpg.de>
Repository: CRAN
Date/Publication: 2025-11-07 13:50:07 UTC

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New package EstemPMM with initial version 0.1.1
Package: EstemPMM
Title: Polynomial Maximization Method for Non-Gaussian Regression
Version: 0.1.1
Date: 2025-10-22
Description: Implements the Polynomial Maximization Method ('PMM') for parameter estimation in linear and time series models when error distributions deviate from normality. The 'PMM2' variant achieves lower variance parameter estimates compared to ordinary least squares ('OLS') when errors exhibit significant skewness. Includes methods for linear regression, 'AR'/'MA'/'ARMA'/'ARIMA' models, and bootstrap inference. Methodology described in Zabolotnii, Warsza, and Tkachenko (2018) <doi:10.1007/978-3-319-77179-3_75>, Zabolotnii, Tkachenko, and Warsza (2022) <doi:10.1007/978-3-031-03502-9_37>, and Zabolotnii, Tkachenko, and Warsza (2023) <doi:10.1007/978-3-031-25844-2_21>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: methods, stats, graphics, utils
Suggests: dplyr, ggplot2, gridExtra, testthat (>= 3.0.0), rmarkdown, knitr, MASS
LazyData: true
URL: https://github.com/SZabolotnii/EstemPMM
BugReports: https://github.com/SZabolotnii/EstemPMM/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-04 19:50:39 UTC; serhiizabolotnii
Author: Serhii Zabolotnii [aut, cre]
Maintainer: Serhii Zabolotnii <zabolotniua@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-07 13:50:12 UTC

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New package aplms with initial version 0.1.0
Package: aplms
Title: Additive Partial Linear Models with Symmetric Autoregressive Errors
Version: 0.1.0
Maintainer: Shu Wei Chou-Chen <shuwei.chou@ucr.ac.cr>
Description: Set of tools for fitting the additive partial linear models with symmetric autoregressive errors of order p, or APLMS-AR(p). This setup enables the modeling of a time series response variable using linear and nonlinear structures of a set of explanatory variables, with nonparametric components approximated by natural cubic splines or P-splines. It also accounts for autoregressive error terms with distributions that have lighter or heavier tails than the normal distribution. The package includes various error distributions, such as normal, generalized normal, Student's t, generalized Student's t, power-exponential, and Cauchy distributions. Chou-Chen, S.W., Oliveira, R.A., Raicher, I., Gilberto A. Paula (2024) <doi:10.1007/s00362-024-01590-w>.
License: GPL-2
URL: https://github.com/shuwei325/aplms
BugReports: https://github.com/shuwei325/aplms/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), mgcv
Imports: MASS, Matrix, rlist, stats, methods, psych, rmutil
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-05 13:29:35 UTC; shuwe
Author: Shu Wei Chou-Chen [aut, cre, cph] , Rodrigo A. Oliveira [aut] , Gilberto A. Paula [aut] , Sebastian Sanchez Sandi [ctb]
Repository: CRAN
Date/Publication: 2025-11-07 14:00:25 UTC

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Thu, 06 Nov 2025

New package UGarima with initial version 0.1.0
Package: UGarima
Title: The Unit-Garima Distribution
Version: 0.1.0
Description: Density, distribution function, quantile function, and random generating function of the Unit-Garima distribution based on Ayuyuen, S., & Bodhisuwan, W. (2024)<doi:10.18187/pjsor.v20i1.4307>.
License: GPL-3
Language: en-US
Encoding: UTF-8
Imports: graphics, stats, lamW
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-04 01:42:10 UTC; User
Author: Atchanut Rattanalertnusorn [aut, cre], Sirinapa Ayuyuen [aut], Winai Bodhisuwan [aut]
Maintainer: Atchanut Rattanalertnusorn <atchanut_r@rmutt.ac.th>
Repository: CRAN
Date/Publication: 2025-11-06 10:50:06 UTC

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New package releaser with initial version 1.0.0
Package: releaser
Title: Help with Preparing a New Version of an R Package
Version: 1.0.0
Description: Helps to prepare a release. Before releasing an R package it is important to update the DESCRIPTION file and the changelog. This package prepares these files and also updates the versions according to the branches. It relies heavily on the 'desc' packages.
License: MIT + file LICENSE
URL: https://github.com/TanguyBarthelemy/releaser, https://tanguybarthelemy.github.io/releaser/
BugReports: https://github.com/TanguyBarthelemy/releaser/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: gh, desc, base64enc
Suggests: rlang, spelling, testthat (>= 3.0.0)
Language: en-GB
NeedsCompilation: no
Packaged: 2025-11-03 10:29:31 UTC; onyxia
Author: Tanguy Barthelemy [aut, cre, art]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>
Repository: CRAN
Date/Publication: 2025-11-06 10:10:02 UTC

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New package etsi with initial version 1.0
Package: etsi
Title: Efficient Testing Using Surrogate Information
Version: 1.0
Date: 2025-11-03
Description: Provides functions for treatment effect estimation, hypothesis testing, and future study design for settings where the surrogate is used in place of the primary outcome for individuals for whom the surrogate is valid, and the primary outcome is purposefully measured in the remaining patients. More details are available in: Knowlton, R., Parast, L. (2024) ``Efficient Testing Using Surrogate Information," Biometrical Journal, 67(6): e70086, <doi:10.1002/bimj.70086>. A tutorial for this package can be found at <https://www.laylaparast.com/etsi>.
License: GPL
Imports: hetsurr, stats
NeedsCompilation: no
Packaged: 2025-11-03 17:15:47 UTC; parastlm
Author: Rebecca Knowlton [aut], Layla Parast [aut, cre]
Maintainer: Layla Parast <parast@austin.utexas.edu>
Repository: CRAN
Date/Publication: 2025-11-06 10:50:02 UTC

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New package colorify with initial version 0.1.2
Package: colorify
Title: Intuitive Color and Palette Generation and Modification
Version: 0.1.2
Description: A one-stop shop for intuitive and dependency-free color and palette creation and modification. Includes palettes and functionality from popular packages such as 'viridis', 'RColorBrewer', and base R 'grDevices', as well as 'ggplot2' plot bindings. Users can generate perceptually uniform and colorblind-friendly palettes, adjust palettes in HSL and RGB color spaces, map color gradients to value ranges, and create color-generating functions.
URL: https://github.com/mauritsunkel/colorify, https://mauritsunkel.github.io/colorify/
BugReports: https://github.com/mauritsunkel/colorify/issues
License: Apache License 2.0
Encoding: UTF-8
Depends: R (>= 4.3)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggplot2, circlize
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-03 12:57:20 UTC; Home
Author: Maurits Unkel [aut, cre]
Maintainer: Maurits Unkel <mauritsunkel@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-06 10:10:07 UTC

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New package brand.yml with initial version 0.1.0
Package: brand.yml
Title: Unified Branding with a Simple YAML File
Version: 0.1.0
Description: Read and process 'brand.yml' 'YAML' files. 'brand.yml' is a simple, portable 'YAML' file that codifies your company's brand guidelines into a format that can be used by 'Quarto', 'Shiny' and 'R' tooling to create branded outputs. Maintain unified, branded theming for web applications to printed reports to dashboards and presentations with a consistent look and feel.
License: MIT + file LICENSE
URL: https://posit-dev.github.io/brand-yml/pkg/r/, https://github.com/posit-dev/brand-yml
BugReports: https://github.com/posit-dev/brand-yml/issues
Depends: R (>= 4.1.0)
Imports: cli, rlang (>= 1.1.0), utils, yaml
Suggests: base64enc, dplyr, flextable, ggiraph, ggplot2 (>= 4.0.0), gt, htmltools, knitr, mime, palmerpenguins, patchwork, plotly, prismatic, rmarkdown, sass, stringr, testthat (>= 3.0.0), thematic (>= 0.1.7.9000), tidyr, tidyverse, withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-03 17:23:28 UTC; garrick
Author: Garrick Aden-Buie [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Garrick Aden-Buie <garrick@posit.co>
Repository: CRAN
Date/Publication: 2025-11-06 10:40:02 UTC

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New package jsutils with initial version 0.1.0
Package: jsutils
Title: 'JavaScript' Utilities for 'R'
Version: 0.1.0
Description: A collection of popular/useful JavaScript utilities, including the terser minifier, sass compiler, typescript transpiler, and more.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: QuickJSR (>= 1.8.1)
URL: https://andrjohns.github.io/jsutils/
NeedsCompilation: no
Packaged: 2025-11-03 08:57:16 UTC; andrew
Author: Andrew R. Johnson [aut, cre]
Maintainer: Andrew R. Johnson <andrew.johnson@arjohnsonau.com>
Repository: CRAN
Date/Publication: 2025-11-06 10:00:02 UTC

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Wed, 05 Nov 2025

New package odbc.resourcer with initial version 1.0.0
Package: odbc.resourcer
Title: Open Database Connectivity Resource Resolver
Version: 1.0.0
Description: A database resource that is accessible through the Open Database Connectivity ('ODBC') API. This package uses the Resource model, with URL "resolver" and "client", to dynamically discover and make accessible tables stored in a 'MS SQL Server' database. For more details see Marcon (2021) <doi:10.1371/journal.pcbi.1008880>.
License: LGPL (>= 2.1)
Depends: R6, httr, resourcer, odbc, DBI
Suggests: testthat, knitr, rmarkdown
BugReports: https://github.com/obiba/odbc.resourcer/issues
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-02 19:42:58 UTC; yannick
Author: Yannick Marcon [aut, cre] , OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>
Repository: CRAN
Date/Publication: 2025-11-05 20:20:02 UTC

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New package insulin.secretion with initial version 0.0.1
Package: insulin.secretion
Title: Insulin Secretion Rate Deconvolution
Version: 0.0.1
Description: Calculates insulin secretion rates from C-peptide values based on the methods described in Van Cauter et al. (1992) <doi:10.2337/diab.41.3.368>. Includes functions to calculate estimated insulin secretion rates using linear or cubic spline interpolation of c-peptide values (see Eaton et al., 1980 <doi:10.1210/jcem-51-3-520> and Polonsky et al., 1986 <doi:10.1172/JCI112308>) and to calculate estimates of input coefficients (volume of distribution, short half life, long half life, and fraction attributed to short half life) as described by Van Cauter. Although the generated coefficients are specific to insulin secretion, the two-compartment secretion model used here is useful for certain applications beyond insulin.
License: GPL (>= 3)
Imports: glue, lifecycle, npreg, rlang
Encoding: UTF-8
URL: https://github.com/kstier/isr.deconv
BugReports: https://github.com/kstier/isr.deconv/issues
NeedsCompilation: no
Packaged: 2025-11-02 18:59:35 UTC; kenstier
Author: Ken Stier [aut, cre, cph]
Maintainer: Ken Stier <kennethstier99@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-05 20:20:06 UTC

More information about insulin.secretion at CRAN
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New package EpidigiR with initial version 0.1.2
Package: EpidigiR
Title: Digital Epidemiological Analysis and Visualization Tools
Version: 0.1.2
Description: Integrates methods for epidemiological analysis, modeling, and visualization, including functions for summary statistics, SIR (Susceptible-Infectious-Recovered) modeling, DALY (Disability-Adjusted Life Years) estimation, age standardization, diagnostic test evaluation, NLP (Natural Language Processing) keyword extraction, clinical trial power analysis, survival analysis, SNP (Single Nucleotide Polymorphism) association, and machine learning methods such as logistic regression, k-means clustering, Random Forest, and Support Vector Machine (SVM). Includes datasets for prevalence estimation, SIR modeling, genomic analysis, clinical trials, DALY, diagnostic tests, and survival analysis. Methods are based on Gelman et al. (2013) <doi:10.1201/b16018> and Wickham et al. (2019, ISBN:9781492052040>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.0.0)
Imports: deSolve, sp, tm, glmnet, caret, survival
Suggests: kernlab, randomForest, stats, knitr, rmarkdown, quarto, usethis, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Author: Esther Atsabina Wanjala [aut, cre]
Maintainer: Esther Atsabina Wanjala <digitalepidemiologist23@gmail.com>
Packaged: 2025-11-03 07:06:11 UTC; atsab
Repository: CRAN
Date/Publication: 2025-11-05 20:30:13 UTC

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New package cgmguru with initial version 0.1.0
Package: cgmguru
Title: Advanced Continuous Glucose Monitoring Analysis with High-Performance C++ Backend
Version: 0.1.0
Maintainer: Sang Ho Park <shstat1729@gmail.com>
Description: Tools for advanced analysis of continuous glucose monitoring (CGM) time-series, implementing GRID (Glucose Rate Increase Detector) and GRID-based algorithms for postprandial peak detection, and detection of hypoglycemic and hyperglycemic episodes (Levels 1/2/Extended) aligned with international consensus CGM metrics. Core algorithms are implemented in optimized C++ using 'Rcpp' to provide accurate and fast analysis on large datasets.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, iglu, dplyr, covr, ggplot2, microbenchmark
VignetteBuilder: knitr
URL: https://github.com/shstat1729/cgmguru
BugReports: https://github.com/shstat1729/cgmguru/issues
NeedsCompilation: yes
Packaged: 2025-11-03 08:00:18 UTC; bagsangho
Author: Sang Ho Park [aut, cre], Rosa Oh [aut, ctb], Sang-Man Jin [aut, ctb]
Repository: CRAN
Date/Publication: 2025-11-05 20:30:07 UTC

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New package aclhs with initial version 1.0.1
Package: aclhs
Title: Autocorrelated Conditioned Latin Hypercube Sampling
Version: 1.0.1
Description: Implementation of the autocorrelated conditioned Latin Hypercube Sampling (acLHS) algorithm for 1D (time-series) and 2D (spatial) data. The acLHS algorithm is an extension of the conditioned Latin Hypercube Sampling (cLHS) algorithm that allows sampled data to have similar correlative and statistical features of the original data. Only a properly formatted dataframe needs to be provided to yield subsample indices from the primary function. For more details about the cLHS algorithm, see Minasny and McBratney (2006), <doi:10.1016/j.cageo.2005.12.009>. For acLHS, see Le and Vargas (2024) <doi:10.1016/j.cageo.2024.105539>.
License: MIT + file LICENSE
URL: https://github.com/vargaslab/acLHS
BugReports: https://github.com/vargaslab/acLHS/issues
Depends: R (>= 3.5)
Imports: DEoptim (>= 2.2.8), geoR (>= 1.9.6), graphics (>= 4.5.1), stats (>= 4.5.1), utils (>= 4.5.1)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-11-01 01:20:15 UTC; Gabe
Author: Van Huong Le [aut, ctb] , Rodrigo Vargas [aut] , Gabriel Laboy [ctb, cre]
Maintainer: Gabriel Laboy <glaboy1@asu.edu>
Repository: CRAN
Date/Publication: 2025-11-05 20:10:02 UTC

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New package PublicationBiasBenchmark with initial version 0.1.0
Package: PublicationBiasBenchmark
Title: Benchmark for Publication Bias Correction Methods
Version: 0.1.0
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>
Description: Implements a unified interface for benchmarking meta-analytic publication bias correction methods through simulation studies (see Bartoš et al., 2022, <doi:10.48550/arXiv.2510.19489>). It provides 1) predefined data-generating mechanisms from the literature, 2) functions for running meta-analytic methods on simulated data, 3) pre-simulated datasets and pre-computed results for reproducible benchmarks, 4) tools for visualizing and comparing method performance.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, metafor, osfr, MASS, numDeriv, pwr, sandwich, clubSandwich, lmtest, puniform, Rdpack
Suggests: RoBMA, testthat (>= 3.0.0), rmarkdown, knitr, kableExtra, DT, ggplot2, scales, ggdist, rprojroot, desc
URL: https://github.com/FBartos/PublicationBiasBenchmark, https://fbartos.github.io/PublicationBiasBenchmark/
BugReports: https://github.com/FBartos/PublicationBiasBenchmark/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-01 14:51:06 UTC; fbart
Author: Frantisek Bartos [aut, cre] , Samuel Pawel [aut] , Bjoern S. Siepe [aut]
Repository: CRAN
Date/Publication: 2025-11-05 20:00:02 UTC

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Tue, 04 Nov 2025

New package glyparse with initial version 0.5.3
Package: glyparse
Title: Parsing Glycan Structure Text Representations
Version: 0.5.3
Description: Provides functions to parse glycan structure text representations into 'glyrepr' glycan structures. Currently, it supports StrucGP-style, pGlyco-style, IUPAC-condensed, IUPAC-extended, IUPAC-short, WURCS, Linear Code, and GlycoCT format. It also provides an automatic parser to detect the format and parse the structure string.
License: MIT + file LICENSE
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
URL: https://glycoverse.github.io/glyparse/, https://github.com/glycoverse/glyparse
Imports: checkmate, cli, dplyr, glyrepr (>= 0.7.0), igraph, purrr, rlang, rstackdeque, stringr
Depends: R (>= 4.1)
VignetteBuilder: knitr
BugReports: https://github.com/glycoverse/glyparse/issues
NeedsCompilation: no
Packaged: 2025-11-01 07:09:21 UTC; fubin
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>
Repository: CRAN
Date/Publication: 2025-11-04 19:30:02 UTC

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New package estats with initial version 1.0
Package: estats
Title: Fast and Light-Weight Energy Statistics
Version: 1.0
Date: 2025-10-27
Author: Michail Tsagris [aut, cre], Manos Papadakis [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: dcov, pdcor, Rfast, Rfast2
Description: Fast and memory-less computation of the energy statistics related quantities for vectors and matrices. References include: Szekely G. J. and Rizzo M. L. (2014), <doi:10.1214/14-AOS1255>. Szekely G. J. and Rizzo M. L. (2023), <ISBN:9781482242744>. Tsagris M. and Papadakis M. (2025). <doi:10.48550/arXiv.2501.02849>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-10-31 20:29:43 UTC; mtsag
Repository: CRAN
Date/Publication: 2025-11-04 19:10:02 UTC

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New package DataFusionGDM with initial version 1.3.2
Package: DataFusionGDM
Title: Machine Learning for Integrating Partially Overlapped Genetic Datasets
Version: 1.3.2
Description: Tools to simulate genetic distance matrices, align and compare them via multidimensional scaling (MDS) and Procrustes, and evaluate imputation with the Bootstrapping Evaluation for Structural Missingness Imputation (BESMI) framework. Methods align with Zhu et al. (2025) <doi:10.3389/fpls.2025.1543956> and the associated software resource Zhu (2025) <doi:10.26188/28602953>.
License: GPL-3
URL: https://github.com/jiashuaiz/DataFusion-GDM
BugReports: https://github.com/jiashuaiz/DataFusion-GDM/issues
Encoding: UTF-8
Depends: R (>= 3.6)
Imports: ggplot2, vegan, mice, stats, utils
Suggests: VIM, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-01 05:05:13 UTC; jiashuaiz
Author: Jiashuai Zhu [aut, cre] , The University of Melbourne [cph], Agriculture Victoria [cph]
Maintainer: Jiashuai Zhu <jiashuai.zhu@student.unimelb.edu.au>
Repository: CRAN
Date/Publication: 2025-11-04 19:20:07 UTC

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New package CurricularComplexity with initial version 1.0
Package: CurricularComplexity
Title: Toolkit for Analyzing Curricular Complexity
Version: 1.0
Author: David Reeping [aut, cre]
Maintainer: David Reeping <reepindp@ucmail.uc.edu>
Description: Enables educational researchers and practitioners to calculate the curricular complexity of a plan of study, visualize its prerequisite structure at scale, and conduct customizable analyses. The original tool can be found at <https://curricularanalytics.org>. Additional functions to explore curriculum complexity from the literature are also included.
Depends: R (>= 3.6.2), igraph (>= 1.2.5)
Encoding: UTF-8
License: MIT + file LICENSE
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-31 22:25:20 UTC; reepi
Repository: CRAN
Date/Publication: 2025-11-04 19:10:14 UTC

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New package btw with initial version 1.0.0
Package: btw
Title: A Toolkit for Connecting R and Large Language Models
Version: 1.0.0
Description: A complete toolkit for connecting 'R' environments with Large Language Models (LLMs). Provides utilities for describing 'R' objects, package documentation, and workspace state in plain text formats optimized for LLM consumption. Supports multiple workflows: interactive copy-paste to external chat interfaces, programmatic tool registration with 'ellmer' chat clients, batteries-included chat applications via 'shinychat', and exposure to external coding agents through the Model Context Protocol. Project configuration files enable stable, repeatable conversations with project-specific context and preferred LLM settings.
License: MIT + file LICENSE
URL: https://github.com/posit-dev/btw, https://posit-dev.github.io/btw/
BugReports: https://github.com/posit-dev/btw/issues
Depends: R (>= 4.1.0)
Imports: cli, clipr, dplyr, ellmer (>= 0.3.0), fs, jsonlite, lifecycle, mcptools, pkgsearch, rlang (>= 1.1.0), rmarkdown, rstudioapi, S7, sessioninfo, skimr, tibble, utils, withr, xml2
Suggests: bslib (>= 0.7.0), chromote, DBI, duckdb, gert, gh, htmltools, pandoc, shiny, shinychat (>= 0.2.0), testthat (>= 3.0.0), usethis
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-31 19:34:47 UTC; garrick
Author: Garrick Aden-Buie [aut, cre] , Simon Couch [aut] , Joe Cheng [aut], Posit Software, PBC [cph, fnd], Google [cph] , Jamie Perkins [cph]
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>
Repository: CRAN
Date/Publication: 2025-11-04 19:10:07 UTC

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New package abwm with initial version 0.1.0
Package: abwm
Title: Ansari-Bradley Test with Arbitrarily Missing Data
Version: 0.1.0
Description: Performs the two-sample Ansari–Bradley test (Ansari & Bradley, 1960 <https://www.jstor.org/stable/2237814>) for univariate, distinct data in the presence of missing values, as described in Zeng et al. (2025) <doi:10.48550/arXiv.2509.20332>. This method does not make any assumptions about the missingness mechanisms and controls the Type I error regardless of the missing values by taking all possible missing values into account.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: gtools, testthat (>= 3.0.0)
Imports: stats
NeedsCompilation: no
Packaged: 2025-10-26 10:27:32 UTC; yijin
Author: Yijin Zeng [aut, cre]
Maintainer: Yijin Zeng <yijinzeng98@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-04 19:20:02 UTC

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New package pervasive with initial version 1.0
Package: pervasive
Title: Pervasiveness Functions for Correlational Data
Version: 1.0
Description: Analysis of pervasiveness of effects in correlational data. The Observed Proportion (or Percentage) of Concordant Pairs (OPCP) is Kendall's Tau expressed on a 0 to 1 metric instead of the traditional -1 to 1 metric to facilitate interpretation. As its name implies, it represents the proportion of concordant pairs in a sample (with an adjustment for ties). Pairs are concordant when a participant who has a larger value on a variable than another participant also has a larger value on a second variable. The OPCP is therefore an easily interpretable indicator of monotonicity. The pervasive functions are essentially wrappers for the 'arules' package by Hahsler et al. (2025)<doi:10.32614/CRAN.package.arules> and serve to count individuals who actually display the pattern(s) suggested by a regression. For more details, see the paper "Considering approaches to pervasiveness in the context of personality psychology" now accepted at the journal Personality Science.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: arules, dplyr, tibble, psych, methods, stats
Suggests: knitr, rmarkdown, psychTools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-31 19:07:41 UTC; pdl8039
Author: Denis Lajoie [aut, cre]
Maintainer: Denis Lajoie <denis.lajoie@umoncton.ca>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2025-11-04 19:00:02 UTC

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New package fdp with initial version 1.0.0
Package: fdp
Title: f-Differential Privacy and Gaussian Differential Privacy
Version: 1.0.0
Description: Constructs and visualises trade-off functions for f-differential privacy (f-DP) as introduced by Dong et al. (2022) <doi:10.1111/rssb.12454>. Supports Gaussian differential privacy, the f-DP generalisation of (epsilon, delta)-differential privacy, and accepts user-specified optimal type I / type II errors from which the lower convex hull trade-off function is automatically constructed.
URL: https://fdp.louisaslett.com/
BugReports: https://github.com/louisaslett/fdp/issues
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, ggplot2, rlang
NeedsCompilation: no
Packaged: 2025-10-31 17:16:06 UTC; louis
Author: Louis Aslett [aut, cre, cph]
Maintainer: Louis Aslett <louis.aslett@durham.ac.uk>
Repository: CRAN
Date/Publication: 2025-11-04 19:00:07 UTC

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New package azr with initial version 0.1.0
Package: azr
Title: Credential Chain for Seamless 'OAuth 2.0' Authentication to 'Azure Services'
Version: 0.1.0
Description: Implements a credential chain for 'Azure OAuth 2.0' authentication based on the package 'httr2''s 'OAuth' framework. Sequentially attempts authentication methods until one succeeds. During development allows interactive browser-based flows ('Device Code' and 'Auth Code' flows) and non-interactive flow ('Client Secret') in batch mode.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://pedrobtz.github.io/azr/, https://github.com/pedrobtz/azr
BugReports: https://github.com/pedrobtz/azr/issues
Imports: methods, R6, cli, httr2, jsonlite, rlang
Suggests: httpuv
NeedsCompilation: no
Packaged: 2025-10-31 12:42:12 UTC; pbtz
Author: Pedro Baltazar [aut, cre]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-04 18:20:02 UTC

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New package lavinteract with initial version 0.2.2
Package: lavinteract
Title: Post-Estimation Utilities for 'lavaan' Fitted Models
Version: 0.2.2
Description: Companion toolbox for structural equation models fitted with 'lavaan'. Provides post-estimation diagnostics and graphics that operate directly on a fitted object using its estimates and covariance, and refits auxiliary models when needed. The package relies on 'lavaan' (Rosseel, 2012) <doi:10.18637/jss.v048.i02>.
URL: https://github.com/g-corbelli/lavinteract
BugReports: https://github.com/g-corbelli/lavinteract/issues
License: GPL-3
Encoding: UTF-8
Imports: lavaan, rlang, ggplot2, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Language: en-US
NeedsCompilation: no
Maintainer: Giuseppe Corbelli <giuseppe.corbelli@uniroma1.it>
Packaged: 2025-10-31 11:08:54 UTC; giuse
Author: Giuseppe Corbelli [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-04 11:10:02 UTC

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New package makicoint with initial version 1.0.0
Package: makicoint
Title: Maki Cointegration Test with Structural Breaks
Version: 1.0.0
Date: 2025-10-26
Description: Implements the Maki (2012) <doi:10.1016/j.econmod.2012.05.006> cointegration test that allows for an unknown number of structural breaks. The test detects cointegration relationships in the presence of up to five structural breaks in the intercept and/or slope coefficients. Four different model specifications are supported: level shifts, level shifts with trend, regime shifts, and trend with regime shifts. The method is described in Maki (2012) "Tests for cointegration allowing for an unknown number of breaks" <doi:10.1016/j.econmod.2012.05.006>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports:
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/merwanroudane/makicoint
BugReports: https://github.com/merwanroudane/makicoint/issues
NeedsCompilation: no
Packaged: 2025-10-31 02:38:31 UTC; HP
Author: Merwan Roudane [aut, cre]
Maintainer: Merwan Roudane <merwanroudane920@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-04 10:50:02 UTC

More information about makicoint at CRAN
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Mon, 03 Nov 2025

New package tldrDocs with initial version 0.0.1
Package: tldrDocs
Title: Provide 'tldrPages' Documentation for Base R Functions
Version: 0.0.1
Description: Documentation for commonly-used objects included in the base distribution of R. Note that 'tldrDocs' does not export any functions itself, its purpose is to write .Rd files during its installation for 'tldr()' to find.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-30 18:45:22 UTC; rstudio
Author: James Otto [aut, cre] , David Kahle [aut]
Maintainer: James Otto <jamesotto852@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-03 19:30:02 UTC

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New package StepRegShiny with initial version 1.6.1
Package: StepRegShiny
Version: 1.6.1
Title: Graphical User Interface for 'StepReg'
Date: 2025-10-22
Description: A web-based 'shiny' interface for the 'StepReg' package enables stepwise regression analysis across linear, generalized linear (including logistic, Poisson, Gamma, and negative binomial), and Cox models. It supports forward, backward, bidirectional, and best-subset selection under a range of criteria. The package also supports stepwise regression to multivariate settings, allowing multiple dependent variables to be modeled simultaneously. Users can explore and combine multiple selection strategies and criteria to optimize model selection. For enhanced robustness, the package offers optional randomized forward selection to reduce overfitting, and a data-splitting workflow for more reliable post-selection inference. Additional features include logging and visualization of the selection process, as well as the ability to export results in common formats.
License: MIT + file LICENSE
BugReports: https://github.com/JunhuiLi1017/StepRegShiny/issues
VignetteBuilder: knitr
Suggests: knitr, testthat, BiocStyle, survival
Imports: StepReg, shiny, DT, shinythemes, shinycssloaders, dplyr, ggplot2, stringr, flextable, cowplot, ggcorrplot, tidyr, summarytools, rmarkdown
Encoding: UTF-8
NeedsCompilation: no
Repository: CRAN
Packaged: 2025-10-30 05:21:27 UTC; lij11
Author: Junhui Li [cre] , Junhui Li [aut], Kai Hu [aut], Xiaohuan Lu [aut], Sushmita N Nayak [ctb], Cesar Bautista Sotelo [ctb], Michael A Lodato [ctb], Wenxin Liu [aut], Lihua Julie Zhu [aut]
Maintainer: Junhui Li <junhui.li11@umassmed.edu>
Date/Publication: 2025-11-03 19:10:08 UTC

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New package MixStable with initial version 0.1.0
Package: MixStable
Title: Parameter Estimation for Stable Distributions and Their Mixtures
Version: 0.1.0
Description: Provides various functions for parameter estimation of one-dimensional stable distributions and their mixtures. It implements a diverse set of estimation methods, including quantile-based approaches, regression methods based on the empirical characteristic function (empirical, kernel, and recursive), and maximum likelihood estimation. For mixture models, it provides stochastic expectation–maximization (SEM) algorithms and Bayesian estimation methods using sampling and importance sampling to overcome the long burn-in period of Markov Chain Monte Carlo (MCMC) strategies. The package also includes tools and statistical tests for analyzing whether a dataset follows a stable distribution. Some of the implemented methods are described in Hajjaji, O., Manou-Abi, S. M., and Slaoui, Y. (2024) <doi:10.1080/02664763.2024.2434627>.
License: GPL-3
Encoding: UTF-8
Imports: stabledist, mixtools, nortest, openxlsx, e1071, jsonlite, libstable4u, stats, graphics, MASS, utils
Suggests: ggplot2, grDevices, moments, readxl, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-30 00:19:17 UTC; FX506
Author: Solym Manou-Abi [aut, cre], Adam Najib [aut], Yousri Slaoui [aut]
Maintainer: Solym Manou-Abi <solym.manou.abi@univ-poitiers.fr>
Repository: CRAN
Date/Publication: 2025-11-03 19:20:18 UTC

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New package crookR with initial version 0.1.0
Package: crookR
Title: Synthetic Crook Deformations in Stem Point Clouds
Version: 0.1.0
Description: Simulates parameterized single- and double-directional stem deformations in tree point clouds derived from terrestrial or mobile laser scanning, enabling the generation of realistic synthetic datasets for training and validating machine learning models in wood defect detection, quality assessment, and precision forestry. For more details see Pires (2025) <doi:10.54612/a.7hln0kr0ta>.
License: MIT + file LICENSE
URL: https://github.com/raudep/crookR
BugReports: https://github.com/raudep/crookR/issues
Depends: R (>= 4.2)
Imports: data.table, stats, utils
Suggests: knitr, lidR, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: false
NeedsCompilation: no
Packaged: 2025-10-30 15:20:29 UTC; rads0001
Author: Raul de Paula Pires [aut, cre]
Maintainer: Raul de Paula Pires <rauldepaulapires@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-03 19:20:02 UTC

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New package barrel with initial version 0.1.0
Package: barrel
Title: Covariance-Based Ellipses and Annotation Tools for Ordination Plots
Version: 0.1.0
Description: Provides tools to visualize ordination results in 'R' by adding covariance-based ellipses, centroids, vectors, and confidence regions to plots created with 'ggplot2'. The package extends the 'vegan' framework and supports Principal Component Analysis (PCA), Redundancy Analysis (RDA), and Non-metric Multidimensional Scaling (NMDS). Ellipses can represent either group dispersion (standard deviation, SD) or centroid precision (standard error, SE), following Wang et al. (2015) <doi:10.1371/journal.pone.0118537>. Robust estimators of covariance are implemented, including the Minimum Covariance Determinant (MCD) method of Hubert et al. (2018) <doi:10.1002/wics.1421>. This approach reduces the influence of outliers. barrel is particularly useful for multivariate ecological datasets, promoting reproducible, publication-quality ordination graphics with minimal effort.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: robustbase, ggplot2, stats, ggrepel, vegan, grid, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vdiffr
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-30 10:41:14 UTC; Usuari
Author: Diego Barranco-Elena [aut, cre]
Maintainer: Diego Barranco-Elena <diego.barranco@udl.cat>
Repository: CRAN
Date/Publication: 2025-11-03 19:20:07 UTC

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New package armadillo4r with initial version 0.6.0
Package: armadillo4r
Title: An 'Armadillo' Interface
Description: Provides function declarations and inline function definitions that facilitate communication between R and the 'Armadillo' 'C++' library for linear algebra and scientific computing. This implementation is derived from Vargas Sepulveda and Schneider Malamud (2024) <doi:10.1016/j.softx.2025.102087>.
Version: 0.6.0
Imports: cpp4r
Suggests: desc, mockery, testthat (>= 3.0.0), withr
Depends: R(>= 3.5.0)
License: Apache License (>= 2)
BugReports: https://github.com/pachadotdev/armadillo4r/issues
URL: https://pacha.dev/armadillo4r/, https://github.com/pachadotdev/armadillo4r
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-30 03:22:36 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre] , Jonathan Schneider Malamud [ctb], Conrad Sanderson [aut] )
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-03 19:10:02 UTC

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New package rAccess with initial version 0.1.1.2
Package: rAccess
Title: Access Control Module for 'shiny' Applications
Version: 0.1.1.2
Description: Provides a flexible framework for implementing hierarchical access control in 'shiny' applications. Features include user permission management through a two-tier system of access panels and units, pluggable 'shiny' module for administrative interfaces, and support for multiple storage backends (local, 'AWS S3', 'Posit Connect'). The system enables fine-grained control over application features, with built-in audit trails and user management capabilities. Integrates seamlessly with 'Posit Connect's authentication system.
License: Apache License (>= 2)
Encoding: UTF-8
Imports: config, dplyr, DT, here, htmlwidgets, httr, jsonlite, magrittr, pins, R6, shiny, shinyjs, shinyWidgets, tibble, tidyr, yaml, shinyalert, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://johnsonandjohnson.github.io/rAccess/, https://github.com/johnsonandjohnson/rAccess/
BugReports: https://github.com/johnsonandjohnson/rAccess/issues/
NeedsCompilation: no
Packaged: 2025-10-29 22:40:13 UTC; peshghi
Author: Peyman Eshghi [aut, cre] , Nandu Krishnan [aut], Nadia Abraham [aut], Harika Adapala [ctb], Johnson & Johnson Innovative Medicine [cph, fnd]
Maintainer: Peyman Eshghi <peymaan.es@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-03 18:50:02 UTC

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