CRANberries

Sun, 09 Aug 2026

New package ratingtables with initial version 0.2.0
Package: ratingtables
Title: Table-Driven Insurance Rating
Version: 0.2.0
Description: Provides a lightweight, table-driven engine for executing insurance rating plans, including coverage-specific rating specifications, entity aggregation, and trace output for auditing. Given policy data, an ordered rating specification, and rating factor tables, it returns rated policies and, optionally, a step-by-step trace of the calculation.
License: MIT + file LICENSE
URL: https://github.com/gs-actuary/ratingtables
BugReports: https://github.com/gs-actuary/ratingtables/issues
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-04 22:03:58 UTC; yagre
Author: Greg Sollenberger [aut, cre, cph]
Maintainer: Greg Sollenberger <yagreg7@yahoo.com>
Repository: CRAN
Date/Publication: 2026-08-09 08:40:02 UTC

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New package rapsimng.decide.core with initial version 0.1.0
Package: rapsimng.decide.core
Title: Decision-Oriented Analysis Core for APSIM Next Generation Outputs
Version: 0.1.0
Description: Provides a low-level interface for analysing APSIM Next Generation simulation outputs to support structured decision-making workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
URL: https://core.decide.rapsimng.bangyou.me/, https://github.com/byzheng/rapsimng.decide.core
BugReports: https://github.com/byzheng/rapsimng.decide.core/issues
NeedsCompilation: no
Packaged: 2026-08-05 01:16:10 UTC; zhe00a
Author: Bangou Zheng [aut, cre]
Maintainer: Bangou Zheng <zheng.bangyou@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-09 08:40:08 UTC

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New package ProgVine with initial version 0.1.0
Package: ProgVine
Title: Progressive Regularized Vine Copula for Masked Competing Risks
Version: 0.1.0
Description: Implements Progressive Regularized Vine Copula (Prog-Vine) frameworks for high-dimensional dependent competing risks with masked failure causes under Progressive Type-II Censoring. Fits Weibull marginals, estimates pair-copula trees using Expectation-Maximization (EM) algorithms, computes Louis observed information confidence intervals, and implements Data Augmentation Gibbs Samplers for Bayesian credible intervals.
License: GPL-3
Encoding: UTF-8
Imports: stats
NeedsCompilation: no
Packaged: 2026-08-05 06:57:36 UTC; Dr. O. J. Obulezi
Author: Okechukwu J. Obulezi [aut, cre]
Maintainer: Okechukwu J. Obulezi <oj.obulezi@unizik.edu.ng>
Repository: CRAN
Date/Publication: 2026-08-09 08:10:10 UTC

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New package PINNProgCens with initial version 0.1.0
Package: PINNProgCens
Title: Physics-Informed Neural Networks for Progressive Censoring
Version: 0.1.0
Description: Implementation of Physics-Informed Neural Networks ('PINN') for lifetime estimation under progressive Type-II censoring schemes. Combines parametric baseline hazards with physical differential degradation models.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: deSolve, stats
NeedsCompilation: no
Packaged: 2026-08-05 07:02:56 UTC; Dr. O. J. Obulezi
Author: Okechukwu J. Obulezi [aut, cre]
Maintainer: Okechukwu J. Obulezi <oj.obulezi@unizik.edu.ng>
Repository: CRAN
Date/Publication: 2026-08-09 08:10:15 UTC

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New package phontrast with initial version 2.3.1
Package: phontrast
Title: Contrast and Separation Metrics for Phonological Categories
Version: 2.3.1
Author: Grant M. Berry [aut, cre]
Maintainer: Grant M. Berry <berry.grant@gmail.com>
Description: Computes and compares multiple measures of separation and overlap between phonological categories (for example vowels or consonants) in arbitrary multi-dimensional acoustic spaces such as formant values, mel-frequency cepstral coefficients (MFCCs), duration, or learned embeddings. The main entry point, phontrast(), reports several contrast metrics in one call -- Jensen-Shannon divergence and distance (Lin, 1991) <doi:10.1109/18.61115>, the Pillai-Bartlett trace, Bhattacharyya distance and affinity, Mahalanobis distance, and proportional overlap -- globally or by group on a common separation-oriented scale, with bootstrap confidence intervals. Also provides utilities for preparing estimates for downstream modelling such as generalized additive models and mixed-effects models. Formerly released as 'phonJSD'.
License: MIT + file LICENSE
URL: https://github.com/berrygrant/phontrast
BugReports: https://github.com/berrygrant/phontrast/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ks, dplyr, purrr, tibble, rlang, stats, grDevices, utils
Suggests: ggplot2, mgcv, mvtnorm, tuneR, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-04 21:26:44 UTC; grantberry
Repository: CRAN
Date/Publication: 2026-08-09 08:30:02 UTC

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New package palettecore with initial version 0.4.1
Package: palettecore
Title: Derive, Optimise and Audit a Scientific Colour Palette from One Seed Colour
Version: 0.4.1
Description: Generates sequential, diverging and categorical colour palettes from a single seed colour in OKLCH (the cylindrical lightness-chroma-hue representation of the Oklab perceptual colour space), with spacing measured by the CIEDE2000 colour-difference formula of the International Commission on Illumination. Audits every palette under simulated colour-vision deficiency, greyscale conversion, the standard Red Green Blue (sRGB) gamut and Web Content Accessibility Guidelines (WCAG) contrast. Colour-vision deficiency is simulated at severity 1.0 with the model of Machado, Oliveira and Fernandes (2009) <doi:10.1109/TVCG.2009.113>; the design rationale follows Crameri, Shephard and Heron (2020) <doi:10.1038/s41467-020-19160-7>. Mirrors the 'Python' reference implementation maintained in the same repository and is validated against shared parity fixtures. Thresholds are configurable design rules, not established accessibility cut-offs.
License: Apache License (>= 2)
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: stats, utils
Suggests: ggplot2, jsonlite
URL: https://github.com/heidihelena/palettecore
BugReports: https://github.com/heidihelena/palettecore/issues
NeedsCompilation: no
Packaged: 2026-08-03 20:36:25 UTC; root
Author: Heidi Helena Andersen [aut, cre]
Maintainer: Heidi Helena Andersen <andersenheidihelena@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-09 08:10:02 UTC

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New package NeutroBasicDesignsAnalysis with initial version 0.0.1
Package: NeutroBasicDesignsAnalysis
Title: Neutrosophic Analysis of Completely Randomized Designs and Randomized Complete Block Designs
Version: 0.0.1
Maintainer: Vinaykumar L.N. <vinaymandya123@gmail.com>
Description: Provides neutrosophic statistical methods for interval-valued data from completely randomized and randomized complete block designs. Methods include neutrosophic analysis of variance, analysis of covariance, multivariate analysis of variance, pooled analysis of variance, Levene's test, and Aitken transformation. When the lower and upper bounds are equal (crisp data), the methods reduce to their corresponding classical statistical analyses. The basic concept of neutrosophic statistics is based on Smarandache (2014) <https://fs.unm.edu/NeutrosophicStatistics.pdf>, while the statistical analysis procedures implemented in this package are newly developed.
License: GPL (>= 3)
Encoding: UTF-8
Imports: MASS, stats
NeedsCompilation: no
Packaged: 2026-08-05 04:16:59 UTC; admin
Author: Neethu R.S. [aut, ctb], Boyina Devi Priyanka [aut, ctb], Cini Varghese [aut, ctb], Susheel Kumar Sarkar [aut, ctb], Mohd Harun [aut, ctb], Vinaykumar L.N. [aut, cre], Anindita Datta [aut, ctb]
Repository: CRAN
Date/Publication: 2026-08-09 08:40:13 UTC

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New package ModToppLeone with initial version 0.1.0
Package: ModToppLeone
Title: Modified Topp-Leone Distribution: Properties, Estimation, and Applications
Version: 0.1.0
Description: Provides density, cumulative distribution function, quantile function, random number generation, survival function, hazard rate function, statistical properties, classical point and interval estimation (maximum likelihood, ordinary least squares, weighted least squares, Cramer-von Mises, and maximum product of spacings), Bayesian estimation under symmetric and asymmetric loss functions (squared error, entropy, precautionary, and generalized entropy loss functions) with highest posterior density intervals, censoring schemes (random, Type-I, Type-II, and progressive Type-II censoring), and real data applications for the 'Modified Topp-Leone' distribution. Methods are based on Singh et al. (2025) <https://statassoc.or.th>, Cheng and Amin (1983) <doi:10.1111/j.2517-6161.1983.tb01267.x>, Swain et al. (1988) <doi:10.1080/00949658808811094>, Chen and Shao (1999) <doi:10.1080/10618600.1999.10474802>, and Balakrishnan and Aggarwala (2000) <doi:10.1007/978-1-4612-1178- [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: stats, graphics
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-05 02:51:05 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Abhishek Tyagi [aut], Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-09 08:40:18 UTC

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New package MiCT with initial version 2.0.0
Package: MiCT
Title: Minimal Important Change and Threshold Estimation
Version: 2.0.0
Description: Provides methods for estimating minimal important change (MIC) and interpretation thresholds for multi-item questionnaires and single-item continuous or ordinal measures. Methods include predictive modelling, adjusted predictive modelling, improved adjusted predictive modelling using anchor reliability, confirmatory factor analysis for anchor reliability, longitudinal confirmatory factor analysis for MIC estimation, longitudinal confirmatory factor analysis-based MIC estimation for single-item measures, and confirmatory factor analysis-based threshold estimation for single-item and multi-item measures. Implemented methods include those developed by Terluin et al. (2015) <doi:10.1016/j.jclinepi.2015.03.015>, Terluin et al. (2017) <doi:10.1016/j.jclinepi.2016.12.015>, Terluin et al. (2022) <doi:10.1016/j.jclinepi.2022.04.018>, Terluin et al. (2023) <doi:10.1007/s11136-023-03355-8>, Terluin et al. (2024) <doi:10.1007/s11136-023-03577-w>, Terluin et al. (2024) [...truncated...]
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: lavaan, MASS, mirt, pROC
Suggests: testthat (>= 3.0.0)
URL: https://github.com/yhpua/MiCT, https://yhpua.github.io/MiCT/
BugReports: https://github.com/yhpua/MiCT/issues
NeedsCompilation: no
Packaged: 2026-08-04 22:25:38 UTC; PYH
Author: Iris Eekhout [aut] , Berend Terluin [aut], Yong-Hao Pua [aut, cre]
Maintainer: Yong-Hao Pua <gmspuyh@duke-nus.edu.sg>
Repository: CRAN
Date/Publication: 2026-08-09 08:30:08 UTC

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New package IntegMultiReg with initial version 0.1.0
Package: IntegMultiReg
Title: Integrative Bayesian Multiple Regression for Multi-Platform Biomarkers
Version: 0.1.0
Description: A Bayesian framework that integrates several regression models to identify a parsimonious set of biomarkers shared across disparate data platforms (for example genomic, transcriptomic and proteomic assays). Subjects are partitioned into subgroups defined by their pattern of platform availability, so that no subject with partially missing platform data is excluded, and information is borrowed across subgroups through a Markov random field prior on the variable-selection indicators together with non-local (product moment) priors on the regression effects. The methodology was introduced for time-to-event outcomes by Chekouo, Stingo, Doecke and Do (2017) <doi:10.1111/biom.12587>; this package additionally supports continuous (Gaussian) and binary (probit) outcomes. Posterior inference is carried out by a Markov chain Monte Carlo sampler implemented in C for computational efficiency.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: graphics, grDevices, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
SystemRequirements: GSL (>= 2.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-08-05 01:44:33 UTC; tchekouo
Author: Sinian Zhang [aut], Jianfeng Wang [aut], Thierry Chekouo [aut, cre]
Maintainer: Thierry Chekouo <tchekouo@umn.edu>
Repository: CRAN
Date/Publication: 2026-08-09 08:20:07 UTC

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New package gofLorenz with initial version 0.1.0
Package: gofLorenz
Title: Goodness-of-Fit Tests for Location-Scale Distributions via Lorenz Curve
Version: 0.1.0
Description: Implements goodness-of-fit test statistics and graphical methods for symmetric and asymmetric location-scale distributions under progressive Type-II censoring using the modified Lorenz curve and ratio modified sample Lorenz curve, as proposed by Lee (2024) <doi:10.3390/sym16020202>. Also provides order statistics distance test statistics based on Pakyari and Balakrishnan (2013) <doi:10.1080/00949655.2011.625424>. Supports calculation of test statistics, Monte Carlo p-values, critical values, and L-plot visual diagnostics for complete and progressively Type-II censored data.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-05 02:30:42 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-09 08:20:02 UTC

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New package GLHD with initial version 1.1-1
Package: GLHD
Title: Grouped Latin Hypercube Designs with Controlled Correlations
Version: 1.1-1
Description: We provide a method of constructing grouped Latin hypercube designs by controlling correlations. Details of the algorithm can be found in Wenlong Li, Jian-Feng Yang and Peter Chien (2026). Grouped Latin hypercube designs with controlled correlations. Technometrics, published online. Important function in this package is "GLHD_CC".
License: LGPL (>= 3)
Imports: stats
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-08-05 06:47:10 UTC; wenlo
Author: Wenlong Li [aut, cre], Jian-Feng Yang [aut], Peter Chien [aut]
Maintainer: Wenlong Li <wlli1@bjtu.edu.cn>
Repository: CRAN
Date/Publication: 2026-08-09 08:10:19 UTC

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New package exactGMH with initial version 0.1.0
Package: exactGMH
Title: Exact and Permutation-Based Mantel Tests for Differential Item Functioning in Dichotomous and Polytomous Items
Version: 0.1.0
Description: Screens dichotomous and polytomous test items for Differential Item Functioning (DIF) using an extension of the Mantel (1963) <doi:10.1080/01621459.1963.10500879> and generalized Mantel-Haenszel statistic, with statistical significance computed via permutation rather than the conventional asymptotic chi-square approximation. Following Hemerik and Goeman (2018) <doi:10.1007/s11749-017-0571-1>, the permutation p-value is exact at the nominal level rather than an approximation, even for a finite number of permutations. This makes the test valid for small samples (fewer than 200 examinees per group), a condition common in classroom-, program-, and institution-level assessment where existing exact-inference options in other software are restricted to dichotomous items only. An optional Benjamini-Hochberg or Bonferroni correction addresses multiple comparisons when screening many items at once.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: stats
Suggests: testthat (>= 3.0.0), shiny
URL: https://github.com/exactGMH-project/exactGMH
BugReports: https://github.com/exactGMH-project/exactGMH/issues
NeedsCompilation: no
Packaged: 2026-08-04 16:17:04 UTC; root
Author: Tri Zahra Ningsih [aut, cre], Aman [aut], Ahmad Nasrulloh [aut], Hera Hastuti [aut], Suci Kurnia Putri [aut]
Maintainer: Tri Zahra Ningsih <trizahra10019@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-09 08:10:06 UTC

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New package smartcor with initial version 1.0.1
Package: smartcor
Title: Automatic Correlation Method Selection Based on Variable Types
Version: 1.0.1
Description: Detects variable types (continuous, count, binary, ordinal, categorical) and selects the appropriate correlation method for each pair. Supports Pearson, Spearman, Kendall's tau, point-biserial, rank-biserial, phi, tetrachoric, polychoric, polyserial, Cramer's V, Tschuprow's T, Theil's U, Yule's Q, and Goodman-Kruskal's gamma, each with a confidence interval and p-value. Explains the selection rationale in the output, follows tidy data principles, and works in both interactive and scripted workflows. The methodology is described in Harshvardhan and Ranjan (2026) <doi:10.48550/arXiv.2607.22285>.
License: GPL (>= 3)
URL: https://harshvardhaniimi.github.io/smartcor/, https://github.com/harshvardhaniimi/smartcor
BugReports: https://github.com/harshvardhaniimi/smartcor/issues
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: cli (>= 3.0.0), generics, ggplot2 (>= 3.4.0), graphics, grDevices, mvtnorm, polycor, rlang (>= 1.0.0), stats, tibble, utils, withr
Suggests: knitr, MASS, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-04 17:52:25 UTC; harshvardhan
Author: M. Harshvardhan [aut, cre, cph], Pritam Ranjan [aut, cph]
Maintainer: M. Harshvardhan <harshvardhan@aus.edu>
Repository: CRAN
Date/Publication: 2026-08-09 07:30:02 UTC

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New package PLSsemEngine with initial version 1.3.0
Package: PLSsemEngine
Title: Transparent PLS-SEM Estimation for Composite-Based Reflective Models
Version: 1.3.0
Date: 2026-07-24
Description: A transparent and modular implementation of Partial Least Squares Structural Equation Modeling (PLS-SEM) focused on reflective measurement models (Mode A). The package separates estimation, bootstrap inference, and predictive evaluation into independent components, emphasising algorithmic transparency, reproducibility, and researcher-controlled analysis. Methods are based on Tenenhaus, Esposito Vinzi, Chatelin & Lauro (2005) <doi:10.1016/j.csda.2004.03.005>, Hair, Risher, Sarstedt & Ringle (2019) <doi:10.1108/EBR-11-2018-0203>, and Henseler, Ringle & Sarstedt (2015) <doi:10.1007/s11747-014-0403-8>.
License: MIT + file LICENSE
URL: https://github.com/msoto-perez/PLSsemEngine
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-04 15:20:07 UTC; msoto
Author: Manuel Soto-Perez [aut, cre]
Maintainer: Manuel Soto-Perez <msoto@up.edu.mx>
Repository: CRAN
Date/Publication: 2026-08-09 07:30:15 UTC

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New package metabodeconplus with initial version 0.22.0
Package: metabodeconplus
Title: Deconvolution, Alignment and Model Fitting of 1d NMR Spectra
Version: 0.22.0
Author: Tobias Schmidt [aut, cre, cph], Martina Haeckl [aut, cph], Yanren Linda Hu [ctb], Wolfram Gronwald [aut, cph]
Maintainer: Tobias Schmidt <tobias.schmidt331@gmail.com>
Description: An integrated framework for deconvolution, alignment and postprocessing of 1-dimensional (1d) nuclear magnetic resonance (NMR) spectra, extended with end-to-end model fitting that turns the resulting matrix of aligned signal integrals into classification models. The deconvolution part uses the algorithm described in Koh et al. (2009) <doi:10.1016/j.jmr.2009.09.003>. The alignment part is based on functions from the 'speaq' package, described in Beirnaert et al. (2018) <doi:10.1371/journal.pcbi.1006018> and Vu et al. (2011) <doi:10.1186/1471-2105-12-405>. A detailed description and evaluation of an early version of the package can be found in Haeckl et al. (2021) <doi:10.3390/metabo11070452>. 'metabodeconplus' is the actively developed successor to the 'metabodecon' package and introduces backwards-incompatible API changes.
License: GPL (>= 3)
URL: https://github.com/spang-lab/metabodeconplus/, https://spang-lab.github.io/metabodeconplus/
BugReports: https://github.com/spang-lab/metabodeconplus/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: mathjaxr, ranger, readJDX, toscutil (>= 2.8.0), withr
Suggests: BiocManager, cachem, covr, devtools, diffobj, digest, doParallel, e1071, glmnet, glue, impute, inline, knitr, lifecycle, MassSpecWavelet, mdrb, microbenchmark, multtest, pkgbuild, pkgload, pROC, R.devices, rcmdcheck, remotes, rlang, rmarkdown, rpart, speaq, styler, testthat (>= 3.0.0), usethis, V8, vdiffr, waldo
LazyData: true
LazyDataCompression: xz
BuildManual: TRUE
Language: en-US
Additional_repositories: https://spang-lab.r-universe.dev
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-08-04 18:43:02 UTC; tschmidt
Repository: CRAN
Date/Publication: 2026-08-09 07:30:08 UTC

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New package gp3bayes with initial version 0.1.1
Package: gp3bayes
Title: Contract-First Bayesian Workflows for Hierarchical Behavioural Data
Version: 0.1.1
Description: Provides transparent, contract-first infrastructure for Bayesian analysis of repeated-measures and hierarchical behavioural data. It supports approved Bernoulli-logit and positive lognormal duration workflows with readiness audits, deterministic simulation, explicit preparation, inspectable priors, prior and posterior predictive checks, restricted optional fitting through 'brms' and 'rstan', sampling diagnostics, prior sensitivity, parameter recovery, and conservative reporting. Core contracts and prior checks remain backend-independent.
License: MIT + file LICENSE
URL: https://stefanosbalaskas.github.io/gp3bayes/, https://github.com/stefanosbalaskas/gp3bayes
BugReports: https://github.com/stefanosbalaskas/gp3bayes/issues
Encoding: UTF-8
Imports: withr
Suggests: bayesplot, brms, knitr, posterior, rmarkdown, rstan, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-04 18:24:13 UTC; Stefanos-PC
Author: Stefanos Balaskas [aut, cre, cph]
Maintainer: Stefanos Balaskas <s.balaskas@ac.upatras.gr>
Repository: CRAN
Date/Publication: 2026-08-09 07:10:02 UTC

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New package FPScausal with initial version 0.1.0
Package: FPScausal
Title: Functional Propensity Score for Causal Inference
Version: 0.1.0
Description: Implements functional propensity score (FPS) weighting for causal inference with functional treatments. Weights are estimated by maximising the empirical likelihood subject to covariate-balancing constraints and solving the resulting dual problem via the BFGS quasi-Newton algorithm, following Ciardulli, S. and Fontana, N. (2026). The package supports scalar, binary, and functional outcomes, as well as functional covariates.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: fda (>= 6.0.0), ggplot2 (>= 3.4.0), tidyr (>= 1.2.0), MASS (>= 7.3-0), wCorr, patchwork (>= 1.1.0), progress (>= 1.2.0), stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-05 07:31:09 UTC; nicole.fontana
Author: Nicole Fontana [aut, cre], Simone Ciardulli [aut]
Maintainer: Nicole Fontana <nicole.fontana@polimi.it>
Repository: CRAN
Date/Publication: 2026-08-09 08:00:02 UTC

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New package FINN with initial version 0.1.0
Package: FINN
Title: Forest Informed Neural Networks
Version: 0.1.0
Maintainer: Yannek Kaeber <y.kaeber@posteo.de>
Description: A hybrid dynamic forest (gap) model (FINN) that can be configured as a fully mechanistic, process-based model, like classic forest gap models, or with its demographic processes (growth, mortality, regeneration) replaced by deep neural networks (DNNs), or any combination of the two. Provides functions to define a model and its mechanistic or empirical components, calibrate it to forest inventory data, and interpret the calibrated processes. FINN is implemented with the 'torch' package, which supplies GPU support and the automatic differentiation used to calibrate the model by stochastic gradient descent; no knowledge of 'torch' is required. The hybrid modeling approach is described in Pichler and Käber (2026) <doi:10.1111/2041-210x.70347>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/FINNverse/FINN, https://finnverse.github.io/FINN/
BugReports: https://github.com/FINNverse/FINN/issues
Depends: R (>= 4.1.0)
LinkingTo: Rcpp
Imports: abind, cli, stats, utils, data.table, coro, Rcpp, torch, ggplot2, glue
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-08-05 08:00:45 UTC; yannekkaber
Author: Yannek Kaeber [aut, cre] , Maximilian Pichler [aut]
Repository: CRAN
Date/Publication: 2026-08-09 08:00:08 UTC

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New package expoquimR with initial version 0.1.0
Package: expoquimR
Title: Qualitative and Quantitative Assessment of Occupational Chemical Exposure Risk
Version: 0.1.0
Description: Provides a unified toolkit for occupational chemical exposure risk assessment, implementing three internationally recognised methods end to end: the qualitative control-banding methods COSHH Essentials (UK Health and Safety Executive) and the method of the French National Research and Safety Institute (INRS), together with the quantitative statistical procedure of the UNE-EN 689 standard for comparing measured exposure levels against occupational exposure limits. Every step of each method, from hazard banding and exposure scoring to lognormal or normal distribution fitting, one-sided tolerance limits, and monitoring-interval recommendations, is implemented as a small, independently callable, and unit-tested function, so assessments are reproducible and auditable without depending on any graphical interface. Optional 'shiny' applications provide a guided, interactive workflow for occupational hygienists and health and safety practitioners who prefer not to write code. References: UK Hea [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
URL: https://github.com/Aguilar-Elena/expoquimR
BugReports: https://github.com/Aguilar-Elena/expoquimR/issues
Depends: R (>= 4.1.0)
Imports: stats
Suggests: DT, ggplot2, kableExtra, knitr, readxl, rmarkdown, shiny, shinyjs, testthat (>= 3.0.0), tibble, usethis
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-04 18:00:50 UTC; okashi
Author: Raul Aguilar Elena [aut, cre] , Ana Delgado-Garcia [aut] , Alejandro Guillem-Riquelme [aut]
Maintainer: Raul Aguilar Elena <raguilar@universidadviu.com>
Repository: CRAN
Date/Publication: 2026-08-09 07:10:07 UTC

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New package DropCens with initial version 0.1.0
Package: DropCens
Title: Distributionally Robust Progressive Type-II Censoring Inference
Version: 0.1.0
Description: Implements distributionally robust optimization algorithms for progressive Type-II censored Weibull lifetime data under Wasserstein ambiguity balls. Provides primal-dual convex optimization solvers and robust inference bounds.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-08-05 07:37:30 UTC; Dr. O. J. Obulezi
Author: Okechukwu J. Obulezi [aut, cre]
Maintainer: Okechukwu J. Obulezi <oj.obulezi@unizik.edu.ng>
Repository: CRAN
Date/Publication: 2026-08-09 08:00:17 UTC

More information about DropCens at CRAN
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New package scimesh with initial version 0.3.0
Package: scimesh
Title: Headless Publication-Quality 3D Mesh Rendering Engine
Version: 0.3.0
Description: A fast, GPU-free 3D software renderer written in modern C++17 with native R bindings. Renders triangle meshes to publication-quality images entirely on the CPU, requiring no display server or graphics hardware. Features multi-light Blinn-Phong shading, screen-space ambient occlusion, anti-aliasing, depth fog, transparency, wireframe rendering, texture mapping, and procedural geometry generation. Supports standard mesh file formats with PNG and PPM output. Works on high-performance computing clusters, headless servers, containers, and continuous integration pipelines, making it suitable for scientific visualization across neuro-imaging, molecular structures, and general 3D graphics.
License: MIT + file LICENSE
URL: https://github.com/dfsp-spirit/scimesh
BugReports: https://github.com/dfsp-spirit/scimesh/issues
Imports: Rcpp (>= 1.0.0)
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), png, freesurferformats, viridisLite, knitr, rmarkdown
VignetteBuilder: knitr
SystemRequirements: C++17
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-08-03 13:33:29 UTC; timschaefer
Author: Tim Schaefer [aut, cre], Martin Horeňovsky [ctb] ), Christophe Riccio [ctb] ), Dimitri Diakopoulos [ctb] ), Syoyo Fujita [ctb] ), Tim Schaefer [ctb] ), Sebastian Reiter [ctb] ), Sean Barrett [ctb] )
Maintainer: Tim Schaefer <ts+code@rcmd.org>
Repository: CRAN
Date/Publication: 2026-08-09 07:00:02 UTC

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New package qvivid with initial version 0.1.2
Package: qvivid
Title: Fast Quantum Simulation and Vivid Visualizations
Version: 0.1.2
Description: Builds, simulates, inspects, and animates gate-based quantum circuits. The package provides a readable reference implementation and compiled state-vector kernels, reproducible shot sampling, circuit diagrams, phase-aware state plots, reduced-state Bloch spheres, journal-sized figure export, and animated trajectories. For background on the implemented methods, see Nielsen and Chuang (2010, ISBN:9781107002173).
License: MIT + file LICENSE
URL: https://github.com/SanmiAndreSofa/qvivid
BugReports: https://github.com/SanmiAndreSofa/qvivid/issues
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: grDevices, graphics
Suggests: gifski, ggplot2 (>= 3.4.0), knitr, ragg (>= 1.2.0), rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-08-01 00:47:13 UTC; runner
Author: Sanmi Adenaiye [aut, cre, cph]
Maintainer: Sanmi (Oluwasanmi) Adenaiye <dradenaiyesanmi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-09 06:50:02 UTC

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New package netsimhelpers with initial version 0.1.0
Package: netsimhelpers
Title: Helper Functions for Simulation Studies in Network Psychometrics
Version: 0.1.0
Date: 2026-08-04
Maintainer: Ria H. A. Hoekstra <h.a.hoekstra@uva.nl>
Description: Helper functions for setting up simulations in network psychometrics.
License: GPL (>= 2)
Language: en-US
Encoding: UTF-8
Imports: mvtnorm, stats, bootnet, qgraph
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-04 12:18:08 UTC; ria
Author: Ria H. A. Hoekstra [aut, cre], Sacha Epskamp [aut]
Repository: CRAN
Date/Publication: 2026-08-09 06:50:07 UTC

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New package gghotelling with initial version 0.2.1
Package: gghotelling
Title: Hotelling's T² Ellipses and Outlier Detection for 'ggplot2'
Version: 0.2.1
Description: Calculate Hotelling's T² ellipses and detect multivariate outliers both for base R plots and 'ggplot2' plots. Optionally, uses robust covariance estimation to reduce the influence of outliers on the ellipses. Also included: bagplots, kernel density plots and outlier diagnostic plots.
URL: https://github.com/january3/gghotelling/, https://january3.github.io/gghotelling/
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, grDevices, MASS, mrfDepth, robustbase
Suggests: testthat (>= 3.0.0), ggrepel, knitr, rmarkdown, HDclassif, spelling, cowplot
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-08-04 10:38:51 UTC; january
Author: January Weiner [aut, cre, cph]
Maintainer: January Weiner <january.weiner@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-09 06:50:13 UTC

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New package FusionForests with initial version 1.0.1
Package: FusionForests
Title: Bayesian Tree Ensembles for Data Fusion and Causal Inference
Version: 1.0.1
Date: 2026-08-01
Maintainer: Tijn Jacobs <t.jacobs@vu.nl>
Description: Bayesian tree ensemble models for data fusion and causal inference. The main model FusionForest() combines data from a randomised controlled trial and an observational study using separate tree forests, allowing for unmeasured confounding in the observational data. Continuous and (interval-)censored survival outcomes are supported. Posterior summaries of treatment effect estimates and interpretable linear projections are provided.
URL: https://github.com/tijn-jacobs/FusionForests
BugReports: https://github.com/tijn-jacobs/FusionForests/issues
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: Rcpp, ShrinkageTrees
LinkingTo: Rcpp (>= 1.0.11)
Suggests: survival, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-08-01 16:49:27 UTC; tijnjacobs
Author: Tijn Jacobs [aut, cre]
Repository: CRAN
Date/Publication: 2026-08-09 06:40:10 UTC

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New package bscm with initial version 1.0.1
Package: bscm
Title: Bayesian Synthetic Control Models
Version: 1.0.1
Description: Implements the synthetic control method of Abadie, Diamond, and Hainmueller (2010) <doi:10.1198/jasa.2009.ap08746> within a Bayesian framework, enabling straightforward uncertainty quantification of treatment effects and other quantities of interest. Supports time-varying covariates with potentially time-varying effects, single or multiple treated units, and staggered treatment adoption. Provides methods for model assessment, comparison, and selection based on placebo studies, cross-validation, and posterior predictive checks. Posterior sampling is performed using Markov chain Monte Carlo via Stan.
License: GPL (>= 3)
Encoding: UTF-8
Biarch: true
Depends: R (>= 4.1.0)
Imports: checkmate, cli, dplyr, ggplot2, loo, methods, posterior, progressr, projpred, quadprog, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rlang, rstan (>= 2.32.7), rstantools (>= 2.6.0), tidyr
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.32.7), StanHeaders (>= 2.32.10)
SystemRequirements: GNU make
LazyData: true
LazyDataCompression: xz
URL: https://github.com/helske/bscm
BugReports: https://github.com/helske/bscm/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-07-31 12:11:26 UTC; jvhels
Author: Jouni Helske [aut, cre]
Maintainer: Jouni Helske <jouni.helske@iki.fi>
Repository: CRAN
Date/Publication: 2026-08-09 06:40:02 UTC

More information about bscm at CRAN
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Sat, 08 Aug 2026

New package xsdm with initial version 1.0.2
Package: xsdm
Title: Demographic Approach to Species Distribution Model
Version: 1.0.2
Description: Integrates concepts of stochastic demography into species distribution modelling. The main approach maximizes a likelihood function based on environmental information and presence/absence records. This is used to reconstruct species' fundamental ecological niches and to project their potential geographic range. Data requirements include species presence/absence records and a timeseries of environmental data.
License: AGPL (>= 3)
Imports: checkmate, expm, Rcpp (>= 1.1.0), RcppParallel (>= 5.1.10), stats, terra, tibble, ucminfcpp, furrr, future, future.callr, sobol, purrr
LinkingTo: Rcpp, RcppParallel, ucminfcpp
SystemRequirements: GNU make, C++17
Encoding: UTF-8
Depends: R (>= 4.1.0)
LazyData: true
LazyDataCompression: xz
Suggests: clue, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://xsdm-project.github.io/xsdm/, https://xsdm-project.github.io/xsdm-devel/
BugReports: https://github.com/xsdm-project/xsdm-devel/issues
NeedsCompilation: yes
Packaged: 2026-08-03 17:40:22 UTC; alrobles
Author: Emilio Berti [aut] , Daniel C. Reuman [aut] , Angel Luis Robles Fernandez [aut, cre]
Maintainer: Angel Luis Robles Fernandez <a.l.robles.fernandez@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-08 14:50:02 UTC

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New package wordorientation with initial version 0.1.0
Package: wordorientation
Title: Detect Attraction and Repulsion Between Words in Text
Version: 0.1.0
Description: Provides tools to quantify how strongly pairs of words attract or repel each other in a text corpus, based on co-occurrence patterns. For each word pair, the phi coefficient (a correlation measure for binary variables) is computed from a document-term matrix and tested for significance, then classified as showing attraction (co-occurring more than chance would predict), repulsion (co-occurring less than chance would predict), or no significant relationship. A full pipeline is provided from raw text to a labeled network visualization. Unlike general-purpose pairwise correlation tools, 'wordorientation' is built specifically for text: it handles tokenization and stopword removal, applies significance-based classification rather than reporting a raw correlation coefficient alone, and produces a ready-to-plot attraction/ repulsion network.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, graphics, igraph, scales
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
URL: https://github.com/yosleycarrero2025/wordorientation
BugReports: https://github.com/yosleycarrero2025/wordorientation/issues
NeedsCompilation: no
Packaged: 2026-08-03 22:16:13 UTC; yosle
Author: Yosley Carrero [aut, cre]
Maintainer: Yosley Carrero <c3046338@newcastle.ac.uk>
Repository: CRAN
Date/Publication: 2026-08-08 14:40:02 UTC

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New package RIFanalysis with initial version 0.9.1
Package: RIFanalysis
Title: Relative Importance Factor Analysis
Version: 0.9.1
Description: Tools for estimating, comparing, and visualizing Relative Importance Factor (RIF) indices based on rank-frequency distributions and discrete power-law models. The package provides reproducible workflows for data preparation, model fitting, goodness-of-fit assessment, bootstrap inference, and publication-ready outputs. The implemented methodology is described in Llinas et al. (2026) <doi:10.3390/math14060966>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: checkmate, dplyr, ggplot2, ggraph, cowplot, igraph, openxlsx, poweRlaw (>= 0.70.0), rlang, ggrepel, stringr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-04 03:18:42 UTC; zirox
Author: Humberto J. Llinas M. [aut, cre], Humberto J. Llinas S. [aut], Javier A. De la Hoz M. [aut], Brian J. Llinas M. [aut], Jose J. Padilla [aut]
Maintainer: Humberto J. Llinas M. <lhumberto@uninorte.edu.co>
Repository: CRAN
Date/Publication: 2026-08-08 14:30:10 UTC

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New package Rhobots with initial version 0.1.10
Package: Rhobots
Title: 'BERTopic'-Style Topic Modeling Without 'Python'
Version: 0.1.10
Description: Implements the 'BERTopic' topic modeling pipeline directly in R: transformer-based sentence embedding, Uniform Manifold Approximation and Projection dimensionality reduction, Hierarchical Density-Based Spatial Clustering of Applications with Noise clustering, and class-based term frequency-inverse document frequency topic extraction - all without any dependency on 'Python', 'conda', or 'reticulate'. Every stage runs in R through 'torch', 'safetensors', 'tok', 'uwot', and 'dbscan'. The package mirrors the accessor API of the original 'Python' package, adds integrated quality metrics and hyperparameter search tools, and introduces part-of-speech filtered and C-value-ranked representation models.
License: MIT + file LICENSE
URL: https://github.com/JPvdP/RhoBots
BugReports: https://github.com/JPvdP/RhoBots/issues
SystemRequirements: Microsoft Visual C++ Redistributable 2022 (Windows only; required by torch)
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: torch, safetensors, hfhub, tok, jsonlite, uwot, dbscan, Matrix, stats, wordpiece, Rcpp
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), plotly, httr2, gutenbergr, udpipe
NeedsCompilation: yes
Packaged: 2026-08-02 20:01:56 UTC; janpieter
Author: J.P.G. van der Pol [aut, cre]
Maintainer: J.P.G. van der Pol <j.p.g.vanderpol@uu.nl>
Repository: CRAN
Date/Publication: 2026-08-08 14:30:02 UTC

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New package MEMWAS with initial version 0.9.3
Package: MEMWAS
Title: Mixed-Effects Models with Autocorrelation Structures
Version: 0.9.3
Date: 2026-08-04
Description: Fits longitudinal generalized mixed-effects models through the 'MEMWAS' interface and a registered 'C++' numerical backend. Supported serial covariance structures include first-order autoregressive (AR(1)), exponential or Ornstein-Uhlenbeck, higher-order autoregressive (AR(p)), first-order autoregressive moving-average (ARMA(1,1)), compound symmetry, Toeplitz, and unstructured covariance. Serial processes can be unified or attached independently to numeric predictor loadings. Candidate temporal structures can be ranked on a common sample by primary-cluster grouped cross-validation, the Akaike information criterion, the Bayesian information criterion, or log-likelihood. Clustered, crossed, and nested random intercepts and slopes are assembled jointly with diagonal or term-specific unstructured covariance. Available approximation methods include Laplace, saddlepoint likelihood with latent Laplace integration, adaptive Gaussian quadrature, full-covariance Gaussian variational inference, a [...truncated...]
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Imports: stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: yes
Language: en-US
Encoding: UTF-8
Packaged: 2026-08-04 03:02:10 UTC; KYN
Author: Enoch Kang [aut, cre, trl]
Maintainer: Enoch Kang <y.enoch.kang@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-08 14:00:02 UTC

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New package ggmultiglyph with initial version 0.1.0
Package: ggmultiglyph
Title: Multivariate Data Visualization using Glyphs
Version: 0.1.0
Description: Provides 'ggplot2' geoms for visualizing multivariate data using glyphs. The package implements several established glyph designs described in the information visualization literature, including the review by Borgo et al. (2013) <doi:10.2312/conf/EG2013/stars/039-063>.
Copyright: 2021-2026, ICAR-NBPGR
License: GPL-2 | GPL-3
Encoding: UTF-8
LinkingTo: Rcpp
Depends: R (>= 3.5.0)
Imports: cli, ggplot2, grid, methods, packcircles, Rcpp, Rdpack, rlang, scales
Suggests: ggrepel, gridExtra, RColorBrewer
URL: https://github.com/aravind-j/ggmultiglyph, https://aravind-j.github.io/ggmultiglyph/
BugReports: https://github.com/aravind-j/ggmultiglyph/issues
Language: en-GB
NeedsCompilation: yes
Packaged: 2026-08-03 09:17:45 UTC; Aravind-DGC
Author: J. Aravind [aut, cre] , Kamil Slowikowski [ctb] , ICAR-NBGPR [cph]
Maintainer: J. Aravind <j.aravind@icar.org.in>
Repository: CRAN
Date/Publication: 2026-08-08 13:50:03 UTC

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New package GammaFrailtySPC with initial version 0.1.0
Package: GammaFrailtySPC
Title: Statistical Process Control Based on Gamma-Frailty AFT Models
Version: 0.1.0
Description: Implements statistical process control ('SPC') monitoring schemes for heterogeneous reliability observations using Accelerated Failure Time ('AFT') models integrated with continuous gamma frailty. It accommodates both uncensored and right-censored reliability observations in the presence of observed and unobserved covariates. Provides Phase I maximum likelihood estimation of Weibull 'AFT' gamma frailty model parameters, and Phase II monitoring procedures including probability-limits-based control charts, exponentially weighted moving average ('EWMA') charts with conditional expected values, and likelihood-ratio cumulative sum ('CUSUM') control charts. Competing 'CUSUM' schemes (ignoring unobserved frailty or both covariates) and Average Run Length ('ARL') simulation utilities are also provided. The statistical methodology is based on Asadzadeh (2022) <doi:10.1080/00949655.2021.1959582>.
License: GPL-3
Depends: R (>= 4.0.0)
Imports: maxLik, survival, stats, graphics, grDevices, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
Language: en-US
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-03 20:59:39 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-08 13:50:16 UTC

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New package densemlp with initial version 0.5.0
Package: densemlp
Title: Dense Neural Networks for Tabular Classification and Regression
Version: 0.5.0
Author: Imad EL BADISY [aut, cre]
Maintainer: Imad EL BADISY <elbadisyimad@gmail.com>
Description: Provides dense feed-forward neural network models for tabular regression and classification using 'torch'. The package supports modern extensions around dense neural network blocks, including dropout, batch normalization, residual connections, gated blocks, and optional input projection.
URL: https://github.com/ielbadisy/densemlp
BugReports: https://github.com/ielbadisy/densemlp/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, stats, torch
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-03 18:54:34 UTC; imad-el-badisy
Repository: CRAN
Date/Publication: 2026-08-08 13:50:11 UTC

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New package BKQualit with initial version 0.1.1
Package: BKQualit
Title: Analysis of Qualitative Traits, Segregation and Genetic Linkage
Version: 0.1.1
Description: A colour-first toolkit for the analysis of qualitative (categorical) traits in plant breeding and genetics. It tests observed segregation against the classical Mendelian expectations, fitting every standard mono-, di- and trihybrid ratio automatically and ranking them by goodness of fit, with Yates continuity correction and Monte Carlo exact tests for sparse tables. It partitions chi-square across families into pooled and heterogeneity components, so that a poor overall fit can be attributed either to the hypothesised ratio or to variation between families. Genetic linkage is estimated by maximum likelihood from two-locus second filial generation and backcross data, with logarithm of odds scores and likelihood-ratio confidence intervals for the recombination fraction. The package further computes Shannon-Weaver and Simpson diversity for descriptor states used in distinctness, uniformity and stability testing, and performs multiple correspondence analysis and Gower-distance clustering o [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, utils, grDevices, ggplot2
Suggests: ggrepel, patchwork, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/bkpraveenars-del/BKQualit
BugReports: https://github.com/bkpraveenars-del/BKQualit/issues
NeedsCompilation: no
Packaged: 2026-08-04 05:01:13 UTC; ASUS
Author: Praveen Kumar B. K. [aut, cre]
Maintainer: Praveen Kumar B. K. <bkpraveenars@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-08 13:20:02 UTC

More information about BKQualit at CRAN
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New package SingRegKrig with initial version 0.1.0
Package: SingRegKrig
Title: Singularity Regression Kriging for Spatial Prediction
Version: 0.1.0
Description: Implements the Singularity Regression Kriging ('SRK') model for spatial prediction by integrating covariate singularity feature construction, nonlinear trend estimation via random forest, and geostatistical interpolation of residuals using ordinary kriging. Singularity-based anomaly indices are computed from environmental covariates at multiple spatial scales to capture local multiscale heterogeneity and augment the random forest feature set for trend estimation. The resulting residuals are interpolated using ordinary kriging to generate final spatial predictions with uncertainty quantification. Tools for spatial block cross-validation, parameter sensitivity analysis, and diagnostic visualization are also provided. Methods are based on Ren, Song, Chen, and Yu (2026) <doi:10.1080/15481603.2026.2690341>, with singularity theory from Cheng (2012) <doi:10.1016/j.gexplo.2012.07.007> and Cheng (2017) <doi:10.1016/j.gr.2017.07.011>, random forest methodology from Breiman (20 [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices, randomForest, gstat, sp
Suggests: testthat (>= 3.0.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-03 14:47:19 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-08 12:30:18 UTC

More information about SingRegKrig at CRAN
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New package secfile with initial version 0.1.1
Package: secfile
Title: SEC 'EDGAR' APIs
Version: 0.1.1
Description: Simple and efficient access to the SEC's 'EDGAR' APIs <https://www.sec.gov/search-filings> for querying and retrieving filings. The 'secfile' package abstracts the complexities of interacting with SEC EDGAR APIs, such as session management, user agent declaration, rate limiting, index parsing, pagination of filing metadata, URL construction, document caching, and inline XBRL parsing. This abstraction allows users to focus on retrieving data rather than managing API details. Use cases include retrieving filings across a range of workflows such as indexes, tenures, submissions, and facts. The package supports flexible query capabilities, including customizable form types, date ranges, and dimensions, and automatic data validation. It handles the SEC's fair access requirements automatically, such as user agent declaration and rate limiting between requests, and caches downloaded documents for efficient retrieval of large datasets. The implementation uses standard HTTP libraries to h [...truncated...]
License: GPL (>= 2)
URL: https://github.com/jasonjfoster/file
BugReports: https://github.com/jasonjfoster/file/issues
Depends: R (>= 3.5.0)
Imports: curl, jsonlite, xml2
Suggests: covr, testthat
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-03 11:16:20 UTC; jason
Author: Jason Foster [aut, cre]
Maintainer: Jason Foster <jason.j.foster@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-08 12:30:02 UTC

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New package K4Siswa with initial version 0.1.0
Package: K4Siswa
Title: Student Context Data Files for TIMSS 2023 Grade 4
Version: 0.1.0
Description: The official Trends in International Mathematics and Science Study (TIMSS) 2023 website provides Student Context Data Files for Grade 4 in RData format. However, the available data are presented solely as numerical values. This package transforms the numerical data into categorical variables, enabling clearer interpretation and reducing ambiguity in statistical analysis. The category labels are provided in Bahasa Indonesia. This initiative contributes to promoting the use of Bahasa Indonesia in programming, in line with its designation as one of the official languages of the United Nations. For more details see <https://timss2023.org/>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-08-02 23:23:51 UTC; HP
Author: Fadhlul Mubarak [aut, cre] , Vinny Yuliani Sundara [aut]
Maintainer: Fadhlul Mubarak <mubarakfadhlul@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-08 12:50:16 UTC

More information about K4Siswa at CRAN
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New package K4Rumah with initial version 0.1.0
Package: K4Rumah
Title: Home Context Data Files for TIMSS 2023 Grade 4
Version: 0.1.0
Description: The official Trends in International Mathematics and Science Study (TIMSS) 2023 website provides Home Context Data Files for Grade 4 in RData format. However, the available data are presented solely as numerical values. This package transforms the numerical data into categorical variables, enabling clearer interpretation and reducing ambiguity in statistical analysis. The category labels are provided in Bahasa Indonesia. This initiative contributes to promoting the use of Bahasa Indonesia in programming, in line with its designation as one of the official languages of the United Nations. For more details see <https://timss2023.org/>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-08-03 14:08:50 UTC; HP
Author: Fadhlul Mubarak [aut, cre] , Vinny Yuliani Sundara [aut]
Maintainer: Fadhlul Mubarak <mubarakfadhlul@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-08 12:30:23 UTC

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New package gpciIntCensor with initial version 0.1.0
Package: gpciIntCensor
Title: Generalized Process Capability Indices for Interval-Censored Data
Version: 0.1.0
Description: A comprehensive framework for computing, estimating, and validating Generalized Process Capability Indices (GPCIs) under interval-censored data. Supports user-supplied probability density functions (PDF/PMF), cumulative distribution functions (CDF), and survival functions (SF). Parameter estimation is performed using Maximum Likelihood Estimation for interval-censored data via the MleCensoR package. Computes classical and generalized capability indices including Cpy (Maiti et al., 2010), Spmk (Dey & Saha, 2019), CpTk (Saha et al., 2019), Cpc (Saha et al., 2022), CNpmc (Alotaibi et al., 2022), CNpmkc (Saha et al., 2024), CNpk (Saha et al., 2018), and Vannman's Cp(u,v) family. Provides parametric and non-parametric bootstrap confidence intervals at 90%, 95%, and 99% confidence levels using percentile, normal, basic, BCa, BCp, and studentized bootstrap methods. Computes standard errors, mean squared errors, and coverage probabilities for both distribution parameters and capability ind [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, graphics, numDeriv, boot, MleCensoR
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-03 19:18:25 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Sumit Kumar [aut], Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-08 13:00:02 UTC

More information about gpciIntCensor at CRAN
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New package gpciEMprogII with initial version 0.1.0
Package: gpciEMprogII
Title: Generalized Process Capability Indices via EM Algorithm under Progressive Type-II Censoring
Version: 0.1.0
Description: Implements the Expectation-Maximization (EM) algorithm of Dempster, Laird, and Rubin (1977) <doi:10.1111/j.2517-6161.1977.tb01600.x> for parameter estimation under progressive Type-II censored data (Balakrishnan and Aggarwala (2000) <doi:10.1007/978-1-4612-1186-0>) and computes Generalized Process Capability Indices (GPCIs). Uses the 'UniCensorEM' package for EM estimation. Supports classical and generalized capability indices including Cpy (Maiti et al. (2010) <doi:10.1080/16843703.2010.11673233>), Cp, Cpk, Cpu, Cpl, Cpm, Cpmk, Spmk (Dey and Saha (2019) <doi:10.1007/s41872-019-00081-4>), CpTk (Saha et al. (2018) <doi:10.1080/21681015.2018.1437793>), Cpc, CNpmc (Alotaibi et al. (2022) <doi:10.1155/2022/3135264>), CNpmkc (Saha et al. (2024) <doi:10.1142/S021853932450013X>), and CNpk (Saha et al. (2022) <doi:10.1080/02664763.2021.1971632>). Computes point estimates, bias, mean squared error, risk, Heidelberger and Welch convergence diagnost [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, UniCensorEM
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-03 04:02:24 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-08 12:50:02 UTC

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New package ghcclm with initial version 0.1.0
Package: ghcclm
Title: Generalized Hybrid Contrast Coding in Linear Models
Version: 0.1.0
Description: Implements generalized hybrid contrast coding methods for K-level categorical predictors in linear models as established by Obulezi (2026)[cite: 3]. The package automates design matrix construction mixing dummy indicators and composite group contrasts, checks rank constraints via singular value decomposition, computes closed-form OLS parameter mappings, and estimates robust heteroscedastic covariance matrices[cite: 3].
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-03 16:38:47 UTC; Dr. O. J. Obulezi
Author: Okechukwu J. Obulezi [aut, cre]
Maintainer: Okechukwu J. Obulezi <oj.obulezi@unizik.edu.ng>
Repository: CRAN
Date/Publication: 2026-08-08 13:00:06 UTC

More information about ghcclm at CRAN
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New package diffuseR with initial version 0.2.2
Package: diffuseR
Title: Functional Interface to Diffusion Models in R
Version: 0.2.2
Description: A native R implementation of diffusion models providing a functional interface to state-of-the-art generative AI. Inspired by the 'Python' library 'diffusers' from 'Hugging Face' <https://huggingface.co/>, 'diffuseR' generates and manipulates images from text prompts using models such as 'Stable Diffusion', with no 'Python' dependency. Supports multiple diffusion schedulers and device acceleration.
License: Apache License (>= 2)
URL: https://github.com/cornball-ai/diffuseR
BugReports: https://github.com/cornball-ai/diffuseR/issues
Encoding: UTF-8
Imports: torch, jsonlite, grid, png, jpeg
Suggests: av, hfhub, safetensors, simplermarkdown, tinytest
VignetteBuilder: simplermarkdown
NeedsCompilation: no
Packaged: 2026-08-03 06:24:31 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph], The HuggingFace Team [cph] ; see inst/COPYRIGHTS), Lightricks Ltd. [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-08-08 12:40:02 UTC

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New package CRAFT with initial version 0.1.0
Package: CRAFT
Title: Conditional Regime Analog Forecasting with Trajectories
Version: 0.1.0
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>
Description: Tools for Conditional Regime Analog Forecasting with Trajectories. The package builds lag and lead trajectory embeddings, detects regimes with singular value decomposition and changepoint analysis, estimates transition probabilities between regimes, samples future-trajectory analogues, and fits smooth empirical forecast distributions.
License: GPL-3
Depends: R (>= 4.1.0)
Imports: changepoint, graphics, grDevices, parallel, stats, utils
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://rpubs.com/giancarlo_vercellino/craft
NeedsCompilation: no
Packaged: 2026-08-03 15:26:40 UTC; gianc
Author: Giancarlo Vercellino [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-08-08 12:50:20 UTC

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New package Compositionalzerocens with initial version 1.0
Package: Compositionalzerocens
Title: Modelling Zero Values in Compositional Data Using a Censored Model
Version: 1.0
Date: 2026-08-03
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Compositional, far, Rfast, stats
Suggests: Rfast2
Description: Modelling structural zeros in compositional data assuming a latent Gaussian model, where MLE is performed via the EM algorithm. The relevant paper is Tsagris M. (2026). Modelling structural zeros in compositional data via a zero-censored multivariate normal model. <doi:10.48550/arXiv.2208.13073>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-08-03 06:08:09 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-08-08 12:30:28 UTC

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New package codriver with initial version 1.0.0
Package: codriver
Title: Context-Aware AI Assistant for 'RStudio'
Version: 1.0.0
Description: A context-aware AI assistant for 'RStudio' that works directly in the source editor without switching context or opening a separate chat window. Reads the cursor position and selection to automatically choose the right action - generate, complete, continue, edit, or comment. Supports configuration of multiple large language model providers and can be invoked via the keyboard shortcut or Addins menu.
URL: https://vdwulp.github.io/codriver/
BugReports: https://github.com/vdwulp/codriver/issues
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
SystemRequirements: RStudio (>= 2026.04, https://posit.co/download/rstudio-desktop/)
Depends: R (>= 4.0.0)
Imports: cli, ellmer (>= 0.3.0), jsonlite, rlang, rstudio.prefs (>= 0.1.6), rstudioapi (>= 0.19.0)
Suggests: testthat (>= 3.0.0), glue, knitr, rmarkdown, withr
NeedsCompilation: no
Packaged: 2026-08-03 13:40:03 UTC; wulps
Author: S.A. van der Wulp [aut, cre, cph]
Maintainer: S.A. van der Wulp <vdwulp@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-08 12:20:02 UTC

More information about codriver at CRAN
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New package cochranSize with initial version 0.1.0
Package: cochranSize
Title: Sample Size Calculation Using Cochran's Formula
Version: 0.1.0
Description: Provides functions to calculate the minimum required sample size for surveys and studies using Cochran's formula, including the finite population correction. Cochran's formula is a standard method in survey methodology for determining sample size based on a desired margin of error, confidence level, and (optionally) known population size. All parameters (margin of error, confidence level, and expected proportion) are fully adjustable by the user rather than fixed to any convention.
License: MIT + file LICENSE
URL: https://github.com/yosleycarrero2025/cochranSize
BugReports: https://github.com/yosleycarrero2025/cochranSize/issues
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-02 22:35:00 UTC; yosle
Author: Yosley Carrero [aut, cre]
Maintainer: Yosley Carrero <c3046338@newcastle.ac.uk>
Repository: CRAN
Date/Publication: 2026-08-08 12:30:07 UTC

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New package cincinnatiOpenData with initial version 0.1.0
Package: cincinnatiOpenData
Title: A Lightweight Interface to Cincinnati Open Data APIs
Version: 0.1.0
Description: Provides a unified set of helper functions to access datasets from the Cincinnati Open Data platform <https://data.cincinnati-oh.gov/>. Functions return results as tidy tibbles and support optional filtering, sorting, and row limits via the Socrata API. The package provides a consistent interface for discovering and downloading datasets from the Cincinnati Open Data Portal using human-readable dataset keys or official Socrata dataset identifiers.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: curl, dplyr, httr, janitor, jsonlite, rlang, tibble
Suggests: ggplot2, knitr, rmarkdown, scales, testthat (>= 3.0.0), tidyr, vcr (>= 0.6.0), webmockr
URL: https://github.com/gomes-sh/cincinnatiOpenData
BugReports: https://github.com/gomes-sh/cincinnatiOpenData/issues
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-08-03 19:06:47 UTC; magic
Author: Shelby Lyn Gomes [aut] , Christian Martinez [aut, cre]
Maintainer: Christian Martinez <c.martinez0@outlook.com>
Repository: CRAN
Date/Publication: 2026-08-08 12:50:06 UTC

More information about cincinnatiOpenData at CRAN
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New package chaidr with initial version 0.1.0
Package: chaidr
Title: CHAID and Exhaustive CHAID Decision Trees
Version: 0.1.0
Description: An implementation in base 'R' of the CHAID (Chi-squared Automatic Interaction Detection) decision tree algorithm of Kass (1980) <doi:10.2307/2986296> and the Exhaustive CHAID variant of Biggs, de Ville, and Suen (1991) <doi:10.1080/02664769100000005>, as specified in the 'IBM SPSS' Statistics Algorithms documentation. Supports nominal, ordinal (with floating missing category), and continuous predictors, and nominal, ordinal, and continuous response variables using Pearson chi-squared, Goodman row-effects, and one-way ANOVA F tests respectively. Includes prediction, rule extraction, gains and lift analysis, validation on holdout data, and visualization via base graphics, 'Graphviz' DOT, 'plotly', and conversion to 'partykit' objects.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.5)
Imports: graphics, grDevices, stats, utils
Suggests: DiagrammeR, ggparty, ggplot2, htmlwidgets, knitr, partykit, plotly, rmarkdown, rpart, spelling, testthat (>= 3.2.0), withr
VignetteBuilder: knitr
URL: https://github.com/morimotoosamu/chaidr, https://morimotoosamu.github.io/chaidr/
BugReports: https://github.com/morimotoosamu/chaidr/issues
NeedsCompilation: no
Packaged: 2026-08-03 02:17:22 UTC; morimoto.osamu
Author: Osamu Morimoto [aut, cre, cph]
Maintainer: Osamu Morimoto <galactic.supermarket@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-08 12:30:12 UTC

More information about chaidr at CRAN
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New package causalgenerics with initial version 0.1.0
Package: causalgenerics
Title: Shared Generics for the 'r-causal' Ecosystem
Version: 0.1.0
Description: A home for the S3 generics shared across the 'r-causal' ecosystem, including 'propensity', 'halfmoon', 'positively', and 'balancing'. Owning the generic definitions in one place lets those packages register methods without masking one another when several are attached at once. The generics cover inverse probability weighted estimation, effective sample size, and the metadata carried by causal weight vectors, and the package supplies the abstract causal weight class and the result class those estimates are returned in, together with the methods both classes carry, so that the ecosystem packages inherit them rather than writing their own. The design follows that of the 'generics' package, which provides commonly used S3 generics for the same purpose: letting packages share a single definition instead of each defining its own.
License: MIT + file LICENSE
URL: https://github.com/r-causal/causalgenerics, https://r-causal.github.io/causalgenerics/
BugReports: https://github.com/r-causal/causalgenerics/issues
Depends: R (>= 4.1.0)
Imports: stats, vctrs
Suggests: testthat (>= 3.2.0), withr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-08-03 14:56:39 UTC; malcolmbarrett
Author: Malcolm Barrett [aut, cre, cph]
Maintainer: Malcolm Barrett <malcolmbarrett@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-08 12:20:07 UTC

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New package BKMutate with initial version 0.1.0
Package: BKMutate
Title: Statistical Analysis of Induced Mutagenesis Experiments in Crop Plants
Version: 0.1.0
Description: A colour-first toolkit for the statistical analysis of induced mutagenesis experiments in crop plants. It fits dose-response models to physical and chemical mutagen data and estimates the median lethal and growth-reduction doses (LD50, GR50) with confidence intervals obtained from Fieller's theorem; quantifies first-generation biological damage (lethality, injury and pollen sterility); and estimates mutagenic effectiveness and mutagenic efficiency. Effectiveness and efficiency are conventionally reported as point estimates only; this package treats them as functions of binomial proportions and supplies interval estimates by the delta method on the logarithmic scale and by the nonparametric bootstrap. It further provides chlorophyll mutation spectrum analysis with tests of homogeneity and diversity, generalised linear models for second-generation mutant counts with formal assessment of overdispersion, and formal comparison of mutagens including relative biological effectiveness. Every a [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, utils, grDevices, ggplot2
Suggests: ggrepel, patchwork, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/bkpraveenars-del/BKMutate
BugReports: https://github.com/bkpraveenars-del/BKMutate/issues
NeedsCompilation: no
Packaged: 2026-08-03 11:43:45 UTC; ASUS
Author: Praveen Kumar B. K. [aut, cre]
Maintainer: Praveen Kumar B. K. <bkpraveenars@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-08 12:10:07 UTC

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New package bigbang with initial version 0.1.0
Package: bigbang
Title: Build 'Tidyverse'-Style Meta-Packages from Local Package Files
Version: 0.1.0
Description: Creates meta-packages (in the style of the 'tidyverse') from locally stored package archives (.tar.gz, .zip). Designed for teams working behind institutional firewalls without access to package repositories. Resolves dependencies between local packages by building a dependency graph with topological ordering and cycle detection, classifies dependencies as local or CRAN, detects implicit dependencies by scanning source code, and generates the full meta-package scaffold including re-exports, vignettes and documentation.
License: GPL (>= 3)
URL: https://github.com/sebollin/bigbang
BugReports: https://github.com/sebollin/bigbang/issues
Encoding: UTF-8
Language: en
VignetteBuilder: knitr
Depends: R (>= 3.6.0)
Imports: brio, glue, utils, whisker
Suggests: devtools, knitr, rmarkdown, testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-08-03 16:20:59 UTC; user
Author: Sebastian Lucas [aut, cre], Richard Detomasi [ctb]
Maintainer: Sebastian Lucas <sebalucas@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-08 12:50:11 UTC

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New package ascribe with initial version 0.1.1
Package: ascribe
Title: Static Detection and Citation of R Package and Function Usage
Version: 0.1.1
Description: Scans R source files for package and function use, then builds citations from configurable package universes. Supports .R, .Rmd, and .qmd files, resolves unqualified calls by attachment order and re-export origin, and leaves each package collection to define its own citations. See 'stanflow' <https://github.com/VisruthSK/stanflow> for an example usage.
License: MIT + file LICENSE
URL: https://ascribe.visruth.com
BugReports: https://github.com/VisruthSK/ascribe/issues
Depends: R (>= 4.2.0)
Imports: cli, fastmatch
Suggests: knitr, quarto, spelling, testthat (>= 3.0.0), withr
VignetteBuilder: quarto
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-08-02 21:17:17 UTC; visru
Author: Visruth Srimath Kandali [aut, cre, cph]
Maintainer: Visruth Srimath Kandali <public@visruth.com>
Repository: CRAN
Date/Publication: 2026-08-08 12:10:02 UTC

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New package xegaMigration with initial version 0.5.0.4
Package: xegaMigration
Title: 'Xega' Island Models
Version: 0.5.0.4
Description: Implements asynchronous message-passing communication protocols for island models of extended and evolutionary algorithms (see Tomassini, Marco (2005, ISBN:978-3-540-24193-5)) for the R-package 'xega' <https://CRAN.R-project.org/package=xega>. Basic asynchronous as well as synchronized communication primitives are supplied based on file I/O operations ('rds') on a shared file system or by 'openMPI' (MPI) messages. The gene selection and replacement strategies, the migration policy as well as the communication topology between islands are configurable. Homogeneous and heterogeneous island algorithms are supported. For examples (R and shell-scripts), see <https://github.com/ageyerschulz/xega/tree/main/examples/IslandModels>.
License: MIT + file LICENSE
URL: https://github.com/ageyerschulz/xegaMigration
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: xegaSelectGene (>= 1.0.0.4), xegaPopulation
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-31 16:16:01 UTC; dj2333
Author: Andreas Geyer-Schulz [aut, cre] , Seyedmostafa Zamanishandiz [aut]
Maintainer: Andreas Geyer-Schulz <Andreas.Geyer-Schulz@kit.edu>
Repository: CRAN
Date/Publication: 2026-08-08 11:30:02 UTC

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New package Usmile with initial version 0.2.0
Package: Usmile
Title: Threshold-Free Class-Specific Comparison of Binary Classifiers
Version: 0.2.0
Description: Implements the U-smile methodology for threshold-free, class-specific comparison of probabilistic binary classifiers. The package quantifies prediction improvement and worsening separately for non-events and events using the Brier alteration (BA), relative Brier (RB), improvement proportion (I) coefficients, and relative likelihood ratio (rLR) coefficients, and provides U-smile, prediction improvement-worsening, receiver operating characteristic, and precision-recall plots. The original U-smile framework is described in Kubiak et al. (2024) <doi:10.1371/journal.pone.0303276>, its three-level extension for imbalanced binary classification in Wieckowska et al. (2025) <doi:10.1371/journal.pone.0321661>, and the likelihood-based extension in Wieckowska and Guzik (2026) <doi:10.1038/s41598-026-40545-z>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5.0)
Imports: ggplot2, grid, pROC,
Suggests: e1071, naivebayes, nnet, parsnip, randomForest, ranger, testthat (>= 3.0.0), xgboost
URL: https://github.com/bbwieckowska/Usmile
BugReports: https://github.com/bbwieckowska/Usmile/issues
NeedsCompilation: no
Packaged: 2026-08-02 10:50:51 UTC; p008587
Author: Barbara Wieckowska [aut, cre]
Maintainer: Barbara Wieckowska <bbwieckowska@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-08 12:00:11 UTC

More information about Usmile at CRAN
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New package transferegovr with initial version 0.1.0
Package: transferegovr
Title: Access the 'TransfereGov' Open Data APIs
Version: 0.1.0
Description: Provides a modern interface to the open data application programming interfaces of the Brazilian federal government's 'TransfereGov' platform (<https://www.gov.br/transferegov/pt-br/ferramentas-gestao/dados-abertos>). Covers the special transfers, fund-to-fund transfers, and decentralized credit ('TED') modules, which together publish forty-eight tables on action plans, programs, budget commitments, financial execution, management reports, and payment orders. The APIs are built on 'PostgREST', so the package exposes its filtering, column selection, and ordering operators directly, and returns tidy tibbles with types taken from the published schema. Automatic pagination, request throttling, retries with exponential backoff, and an optional response cache are included.
License: MIT + file LICENSE
URL: https://github.com/StrategicProjects/transferegovr, https://strategicprojects.github.io/transferegovr/
BugReports: https://github.com/StrategicProjects/transferegovr/issues
Depends: R (>= 4.1.0)
Imports: cli, httr2 (>= 1.0.0), purrr (>= 1.0.0), rlang (>= 1.1.0), stats, tibble (>= 3.2.0), utils
Suggests: covr, dplyr, jsonlite, knitr, rmarkdown, testthat (>= 3.2.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-31 22:51:57 UTC; leite
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut], Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Julia Nascimento Barreto [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-08-08 11:30:08 UTC

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New package tplyr2 with initial version 0.2.0
Package: tplyr2
Title: A Grammar of Clinical Summary Tables
Version: 0.2.0
Description: Implements a grammar of summary data for clinical reports. Clinical summary tables are decomposed into modular layers, each representing an independent summary block. Supports count, descriptive statistics, and shift layer types with a declarative spec-based API built on data.table for performance.
License: MIT + file LICENSE
URL: https://github.com/atorus-research/tplyr2, https://atorus-research.github.io/tplyr2/
BugReports: https://github.com/atorus-research/tplyr2/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: data.table, jsonlite, purrr, rlang, stringr
Suggests: testthat (>= 3.0.0), withr, yaml, knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-02 14:12:57 UTC; mstackhouse
Author: Mike Stackhouse [aut, cre]
Maintainer: Mike Stackhouse <mike.stackhouse@atorusresearch.com>
Repository: CRAN
Date/Publication: 2026-08-08 12:00:02 UTC

More information about tplyr2 at CRAN
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New package pathintdid with initial version 0.1.0
Package: pathintdid
Title: Path-Integrated Difference-in-Differences
Version: 0.1.0
Description: Implements the Path-Integrated Difference-in-Differences ('PI-DiD') framework of Salavi (2026), which treats the treatment effect as a trajectory tau(t) = c1(t) - c0(t) and integrates the baseline-differenced gap over a post-treatment window to obtain a cumulative causal effect and a path-integrated average treatment effect on the treated, together with cluster-robust standard errors, confidence intervals, diagnostic plots, and the pre-treatment parallel-trends, grid-density, and anticipation-robustness checks of section 5 of the companion paper. This approach avoids the endpoint-subtraction bias that arises whenever a transitory policy's effect has fully decayed by the evaluation date, in which case the conventional static difference-in-differences estimate can be zero even though the cumulative benefit delivered to treated units was strictly positive. Formerly distributed as a Stata package under the names 'pidid' and 'pididplot'.
License: MIT + file LICENSE
URL: https://github.com/FabriceSALAVI/PathIntDID
BugReports: https://github.com/FabriceSALAVI/PathIntDID/issues
Depends: R (>= 3.5)
Imports: graphics, grDevices, stats
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-01 23:28:50 UTC; HP
Author: Comlan Apollinaire-Fabrice Salavi [aut, cre]
Maintainer: Comlan Apollinaire-Fabrice Salavi <fsalavi@africanschoolofeconomics.com>
Repository: CRAN
Date/Publication: 2026-08-08 11:50:02 UTC

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New package nof1kit with initial version 0.1.0
Package: nof1kit
Title: Design, Monitor, and Analyze Single-Case (N-of-1) Intensive Longitudinal Studies
Version: 0.1.0
Description: Tools for the stages of a single-case (N-of-1) experimental study that come before analysis: generating randomization schedules that can be preregistered and reproduced exactly, under run-length constraints, exporting them for mobile data collection, validating incoming ecological momentary assessment (EMA) records, and monitoring compliance. Designed around the workflow of a 70-day randomized N-of-1 study collected with stock 'iOS' tools at 92.9% compliance; the package ships with that study's complete dataset.
License: MIT + file LICENSE
URL: https://github.com/haomeng797-ship-it/nof1kit, https://haomeng797-ship-it.github.io/nof1kit/
BugReports: https://github.com/haomeng797-ship-it/nof1kit/issues
Encoding: UTF-8
Imports: jsonlite, stats, tools, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-02 10:36:34 UTC; menghao
Author: Miura Meng [aut, cre]
Maintainer: Miura Meng <haomeng797@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-08 11:50:07 UTC

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New package nimbleExtra with initial version 0.1.15
Package: nimbleExtra
Title: Interoperating with 'NIMBLE' for Generic Analysis of MCMC Samples
Version: 0.1.15
Description: 'NIMBLE' is a general purpose modeling framework that facilitates the analysis of Markov Chain Monte Carlo (MCMC) models. However, it constructs a complex and variable data structure, which is difficult to use in a general way. The 'nimbleExtra' package provides a set of functions to insulate users from the complexity and variability of 'NIMBLE' data structures. It also complements 'NIMBLE' and other MCMC analysis packages by providing missing functionality to encourage generic programming. Together these features ease the burden of working with MCMC data and encourage more systematic approaches to MCMC analysis.
License: BSD_3_clause + file LICENSE | GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: coda, dplyr, ggplot2, grDevices, nimble, posterior, purrr, rlang, tidyselect, utils
Suggests: ggmcmc, scales, testthat (>= 3.0.0), tidyr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-07-31 19:30:44 UTC; brook
Author: Brook Milligan [aut, cre, cph]
Maintainer: Brook Milligan <brook@biology.nmsu.edu>
Repository: CRAN
Date/Publication: 2026-08-08 11:30:13 UTC

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New package EDAForge with initial version 0.1.1
Package: EDAForge
Title: Automatic Exploratory Data Analysis
Version: 0.1.1
Description: Automatically performs exploratory data analysis (EDA) for tabular datasets, including data summaries, missing value analysis, descriptive statistics, visualizations, correlation analysis, outlier detection, and automated report generation. The package provides a streamlined workflow for rapid data exploration and produces publication-ready tables and graphics. For methodological details see Tukey (1977, ISBN:9780201076165), Pearson (1895) <doi:10.1098/rspl.1895.0041>, and Wickham (2014) <doi:10.18637/jss.v059.i10>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2)
Imports: e1071, rlang, dplyr, ggplot2, tidyr, psych, factoextra, openxlsx, GGally, visdat, igraph
Suggests: knitr,mice, rmarkdown, testthat (>= 3.0.0), tibble
URL: https://github.com/vinodhpmd/EDAForge
BugReports: https://github.com/vinodhpmd/EDAForge/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-01 00:38:33 UTC; m
Author: Vinodhkumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer: Vinodhkumar Obli Rajendran <vinodhkumar.rajendran@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-08 11:30:20 UTC

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New package dashboardapi with initial version 0.1.0
Package: dashboardapi
Title: Access Japan's Statistics Dashboard API
Version: 0.1.0
Description: An unofficial, tidy, rate-conscious interface to the Statistics Dashboard Web API provided by the Statistics Bureau of Japan. Search indicators, regions, terms, social events, and statistical surveys, then retrieve observations as normalized long or wide data frames. The API requires no registration or API key.
URL: https://github.com/kenjimyzk/dashboardapi
BugReports: https://github.com/kenjimyzk/dashboardapi/issues
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Imports: httr2 (>= 1.1.0), tibble
Suggests: knitr, rmarkdown, testthat (>= 3.2.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-31 14:37:16 UTC; kenjimyzk
Author: Kenji Miyazaki [aut, cre]
Maintainer: Kenji Miyazaki <kenjimyzk@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-08 11:10:02 UTC

More information about dashboardapi at CRAN
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New package cpge with initial version 1.0.1
Package: cpge
Title: Career Possibilities after French Selective Engineering Schools in France
Version: 1.0.1
Description: To help French students from Classes Preparatoires aux Grandes Ecoles (CPGE) in their choice of field of study and career options, this package provides an interactive tool and data visualization of a graph clustered by different competitive exams and sectors of activity for French selective engineering schools and selective higher education institutions like Ecoles Normales Superieures (ENS) or specialized university programs. Besides, there are two drop-down menus to select on the graph many fields or more than 200 engineering schools or ENS. It gives the opportunity to expand, collapse clusters of selective exams interactively too. For more information, see the demonstration video: <https://valerierobert-maths.re/index.php/maths-en-cpge/>. The data was collected via the official French website: <https://www.scei-concours.fr/statistiques.html>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: dplyr, quarto, shiny, stringr, tidyr, visNetwork
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-31 18:36:49 UTC; rv
Author: Valerie Robert [aut, cre]
Maintainer: Valerie Robert <valerie.robert.math@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-08 11:20:02 UTC

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New package compstatslib with initial version 0.8.0
Package: compstatslib
Title: Interactive 2D and 3D Visualization of Data and Statistical Concepts
Version: 0.8.0
Date: 2026-08-02
Description: Interactive gadgets and plotting functions for visualizing data sets and statistical concepts in two and three dimensions. Explore a data frame as a 3D point cloud you can rotate, fit a moderated (interaction) regression and view its surface as a 3D wireframe, or plot principal components and regression fits in two dimensions. Each interactive gadget returns the call that reproduces its final view, including the viewing angle, so an exploratory session can be pasted into a script or report. Also provides simulation-based demonstrations of sampling distributions, confidence intervals, t-tests, and matrix inversion for teaching and self-study.
Imports: lattice, miniUI, plotly, shiny
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
URL: https://github.com/compstatslib/compstatslib
BugReports: https://github.com/compstatslib/compstatslib/issues
Encoding: UTF-8
Language: en-US
Suggests: testthat (>= 3.0.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-01 16:51:45 UTC; soumyaray
Author: Soumya Ray [aut, cre], Daniele Melotti [aut]
Maintainer: Soumya Ray <soumya.ray@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-08 11:50:13 UTC

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New package ALSBinary with initial version 1.0.0
Package: ALSBinary
Title: 'ALS-Binary': Allele Size to Binary Converter
Version: 1.0.0
Description: Converts microsatellite allele sizes into binary matrices and provides a 'Shiny' interface.
Depends: R (>= 4.3.0)
Imports: shiny, readr, readxl, DT
Suggests: testthat (>= 3.0.0)
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-08-01 11:28:07 UTC; vppra
Author: Prasanth VP [aut, cre], Subhash Chandra [aut]
Maintainer: Prasanth VP <prasanth.stat@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-08 11:40:02 UTC

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New package AgriDataTools with initial version 0.1.2
Package: AgriDataTools
Title: Automated Statistical Analysis and Tools for Agricultural Research
Version: 0.1.2
Description: A comprehensive suite of statistical tools tailored for agricultural and plant breeding research. Provides automated pipelines for analysis of variance and covariance under randomized complete block designs and completely randomized designs, descriptive summary statistics, and post-hoc multiple range tests including Least Significant Difference, Tukey, and Scheffe based on Steel et al. (1997) <isbn:978-0070610286>. Quantitative genetic parameters including genotypic, phenotypic, and environmental variance components and broad-sense heritability follow Burton and Devane (1953) <doi:10.2134/agronj1953.00021962004500100005x>. Genetic advance and genetic advance as percentage of mean estimation follow Johnson et al. (1955) <doi:10.2134/agronj1955.00021962004700070009x>. Genotypic, phenotypic, and environmental correlations follow Miller et al. (1958) <doi:10.2134/agronj1958.00021962005000100020x>. Genotypic and phenotypic path coefficient analysis direct and indirec [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: ggplot2, reshape2, factoextra, dendextend, circlize, stats, graphics, dplyr, utils
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-01 08:55:04 UTC; Faheem khan
Author: Faheem Khan [aut, cre]
Maintainer: Faheem Khan <2022ag94@uaf.edu.pk>
Repository: CRAN
Date/Publication: 2026-08-08 11:20:06 UTC

More information about AgriDataTools at CRAN
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New package agridatasets with initial version 0.1.0
Package: agridatasets
Title: A Comprehensive Collection of Agricultural and Agronomic Datasets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Offers a rich and diverse collection of datasets focused on agriculture, agronomy, animal science, and related fields. The package includes experimental, observational, and field-trial data on crops such as rice, wheat, corn, soybean, cotton, coffee, avocado, and orange, as well as forestry species including bamboo, eucalyptus, and timber. Datasets cover plant breeding and genetics, factorial and randomized block experiments, herbicide and insecticide efficacy trials, pest and disease infestation, soil characteristics and land suitability, plant growth regulators, seed germination, and crop yield modeling. Additional datasets address animal science topics such as cattle insemination and conception, pig and broiler growth, lamb births, and toxicology studies on aquatic and non-target species. Data sources include peer-reviewed agronomic studies, uniformity and Latin square field trials, glasshouse experiments, and international agricultural surveys. Designed for agronomists, researchers [...truncated...]
License: GPL-3
Language: en
URL: https://github.com/lightbluetitan/agridatasets, https://lightbluetitan.github.io/agridatasets/
BugReports: https://github.com/lightbluetitan/agridatasets/issues
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, testthat (>= 3.0.0), dplyr, knitr, rmarkdown
Depends: R (>= 4.1.0)
Imports: utils
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-03 03:53:27 UTC; Renzo
Author: Renzo Caceres Rossi [aut, cre]
Repository: CRAN
Date/Publication: 2026-08-08 11:50:18 UTC

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New package tarpolyglot with initial version 0.2.0
Package: tarpolyglot
Title: Run Python, Julia, and Rust Inside 'targets' Pipeline Steps
Version: 0.2.0
Description: Adds target constructors that make it easy to use Python, Julia, and Rust inside a 'targets' pipeline using 'reticulate', 'JuliaCall', and 'rextendr'. Provides tar_target_py(), tar_target_jl(), and tar_target_rs() (with matching _raw() variants), each mirroring 'targets::tar_target()' and 'targets::tar_target_raw()'. Python and Julia steps run a script via a live interpreter with optional R pre- and post-scripts; Rust steps compile '#[extendr]' functions and call them from an R post-script. Results are returned either as converted R objects or as files written to disk (format = "file"). Dynamic branching, environment/version selection, a 'crew' controller for isolation, and the full set of tar_target_raw() arguments are supported.
License: MIT + file LICENSE
URL: https://github.com/Pierre9344/tarpolyglot, https://pierre9344.github.io/tarpolyglot/
BugReports: https://github.com/Pierre9344/tarpolyglot/issues
Encoding: UTF-8
Imports: targets, reticulate, JuliaCall, crew, rextendr
Suggests: knitr, rmarkdown, tarchetypes, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
SystemRequirements: The external language toolchains are optional and each is only required by its matching targets constructor: a Python installation for tar_target_py(), a Julia installation for tar_target_jl(), and a Rust toolchain with Cargo for tar_target_rs() (on Windows, the GNU toolchain, to match R's ABI). A pipeline that uses a single language needs only that language's toolchain, and a pipeline that uses none of these constructors needs no external toolchain at all.
NeedsCompilation: no
Packaged: 2026-07-31 12:45:18 UTC; pierre
Author: Pierre Solomon [aut, cre]
Maintainer: Pierre Solomon <pierre.solomon@laposte.net>
Repository: CRAN
Date/Publication: 2026-08-08 10:50:02 UTC

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New package BCGcalc with initial version 2.3.1
Package: BCGcalc
Title: Biological Condition Gradient, Calculator
Version: 2.3.1
Maintainer: Erik W. Leppo <Erik.Leppo@tetratech.com>
Description: Functions to calculate Biological Condition Gradient (BCG) using input files with one row per sample with metric values and site classes as columns. A second file with the BCG Rules (example included) to define the memberships is also needed. The three main functions convert metric scores to metric memberships following fuzzy set BCG Rules (BCG.Level.Assignment), combine metric memberships to level memberships according to BCG Rules (BCG.Level.Membership), and then assign a BCG primary and secondary level based on level memberships (BCG.Level.Assignment). Originally developed as a package for use with BCG for Puget Lowland/Willamette Valley but has been further enhanced for use with multiple communities (benthic macroinvertebrates, fish, periphyton, or coral) and different rule sets. Oregon and Washington reference - "Stamp, J. and J. Gerritsen. 2018. Calibration of the Biological Condition Gradient (BCG) for Macroinvertebrate Assemblages in Puget Lowland/Willamette Valley Freshwate [...truncated...]
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: dplyr, reshape2
Suggests: BioMonTools, readxl, knitr, rmarkdown, ggplot2, shiny, DT, httr, testthat (>= 3.0.0), plyr, tidyr, tibble, rioja, nhdplusTools, ComplexUpset
Encoding: UTF-8
LazyData: true
URL: https://github.com/leppott/BCGcalc
BugReports: https://github.com/leppott/BCGcalc/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-31 15:18:06 UTC; Erik.Leppo
Author: Erik W. Leppo [aut, cre], Jen Stamp [ctb], Matt Hedin [ctb], Ben Block [ctb]
Repository: CRAN
Date/Publication: 2026-08-08 10:30:02 UTC

More information about BCGcalc at CRAN
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New package erglm with initial version 0.1.1
Package: erglm
Title: Exposure-Response Tools for GLM-Based Models
Version: 0.1.1
Description: Provides estimation tools for exposure-response models based on glm(): model fitting and prediction, stepwise covariate modelling, and simulation-based visual predictive checks. Tested and supported for binomial, Poisson, Gaussian, and gamma families. For a model-agnostic mini-language to visualise exposure-response models (including those fitted with 'erglm'), see the companion package 'erplots'.
License: MIT + file LICENSE
Language: en-GB
Encoding: UTF-8
Imports: dplyr, mvtnorm, rlang, stats, tibble, withr
Suggests: erplots, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/djnavarro/erglm, https://erglm.djnavarro.net/
BugReports: https://github.com/djnavarro/erglm/issues
Additional_repositories: https://djnavarro.r-universe.dev
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-30 15:18:22 UTC; danielle
Author: Danielle Navarro [aut, cre]
Maintainer: Danielle Navarro <djnavarro@protonmail.com>
Repository: CRAN
Date/Publication: 2026-08-08 09:00:02 UTC

More information about erglm at CRAN
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Fri, 07 Aug 2026

New package PoultryEconR with initial version 0.1.0
Package: PoultryEconR
Title: Poultry Economic Analysis Tools
Version: 0.1.0
Description: Provides tools for poultry production and economic analysis. The package calculates feed conversion ratio (FCR), hen-day egg production (HDEP), hen-housed egg production (HHEP), cost per egg, profit per bird, mortality percentage, and an overall efficiency score based on predefined performance benchmarks. The results can optionally be exported to an Excel workbook and visualized using a bar chart.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: writexl
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-30 15:36:20 UTC; JARVIS
Author: M. Petchi Praveen [aut, cre], Niraj US [aut], S. Vishnu Shankar [aut]
Maintainer: M. Petchi Praveen <pravinmariappan7@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-07 21:40:02 UTC

More information about PoultryEconR at CRAN
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New package nhsbsa with initial version 0.1.0
Package: nhsbsa
Title: Client for the NHS Business Services Authority Open Data Portal
Version: 0.1.0
Description: A low-level client for the National Health Service Business Services Authority (NHSBSA) Open Data Portal <https://opendata.nhsbsa.net>, a 'CKAN' data catalogue. Provides thin wrappers around the portal's API actions for listing datasets, retrieving metadata, querying the datastore and downloading resource files. Results are returned as plain data (tibbles and lists) for the caller to interpret.
License: MIT + file LICENSE
URL: https://github.com/rmgpanw/nhsbsa, https://rmgpanw.github.io/nhsbsa/
BugReports: https://github.com/rmgpanw/nhsbsa/issues
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: cli, dplyr, httr2, jsonlite, purrr, rlang, stringr, tibble
Suggests: curl, httptest2, knitr, rmarkdown, spelling, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-31 07:37:37 UTC; Alasdair
Author: Alasdair Warwick [aut, cre, cph]
Maintainer: Alasdair Warwick <alasdair.warwick.19@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2026-08-07 22:00:02 UTC

More information about nhsbsa at CRAN
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New package HeatStressR with initial version 2.2.1
Package: HeatStressR
Title: Calculate Heat Stress Indices
Version: 2.2.1
Date: 2026-07-31
Description: Calculates heat-stress indices from meteorological observations, including the physically based wet-bulb globe temperature model described by Liljegren et al. (2008) <doi:10.1080/15459620802310770>. The package provides an independently maintained R implementation with row-level diagnostics, configurable physical controls, and batch processing for the Liljegren method; it is not a bitwise-compatible port of the original program, and cross-implementation differences are expected.
License: GPL-3
URL: https://github.com/zyf0717/HeatStressR
BugReports: https://github.com/zyf0717/HeatStressR/issues
Depends: R (>= 3.4.0)
Suggests: pkgload, testthat (>= 3.0.0)
Imports: stats, assertthat, parallel, foreach, doParallel
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-31 04:30:29 UTC; yifei
Author: Yifei Zheng [aut, cre] , Ana Casanueva [aut]
Maintainer: Yifei Zheng <zyf0717@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-07 22:00:15 UTC

More information about HeatStressR at CRAN
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New package epidesc with initial version 0.1.0
Package: epidesc
Title: Calculation of Epidemiological Descriptors
Version: 0.1.0
Description: Provides tools to easily compute a series of epidemiological indicators to characterise different transmission profiles of infectious diseases with a simple pipeline: format the dates in epiyearweek format, choose the descriptors and their parameters, and compute them. The package is based on the publication 'How heterogeneous is the dengue transmission profile in Brazil? A study in six Brazilian states' <doi:10.1371/journal.pntd.0010746>.
License: GPL (>= 2)
URL: https://github.com/BSC-ES/epidesc
BugReports: https://github.com/BSC-ES/epidesc/issues
Depends: R (>= 4.1.0)
Imports: lubridate, nseq
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-31 09:38:09 UTC; cmilagar
Author: Raquel Martins Lana [aut] , Carles Mila [aut, cre] , Iasmin Ferreira de Almeida [aut], Claudia Torres Codeco [aut] , Daniela Luehrsen [aut] , Diego Ricardo Xavier Silva [aut] , Christovam Barcellos [aut] , Raphael Saldanha [aut] , Rachel Lowe [aut]
Maintainer: Carles Mila <carles.milagarcia@bsc.es>
Repository: CRAN
Date/Publication: 2026-08-07 22:00:09 UTC

More information about epidesc at CRAN
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New package MultiStepSSAD with initial version 0.1.0
Package: MultiStepSSAD
Title: Multiple-Steps Step-Stress Accelerated Degradation Modeling
Version: 0.1.0
Description: Implements statistical methods for multiple-steps step-stress accelerated degradation testing (SSADT) based on Wiener processes and Gamma processes as described by Pan and Balakrishnan (2010) <doi:10.1080/03610918.2010.496060>. Features maximum likelihood estimation (MLE), Bayesian Markov chain Monte Carlo (MCMC) sampling, Geweke convergence diagnostics, and reliability predictions under normal operating stress conditions.
License: GPL (>= 3)
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-31 01:10:31 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-07 21:00:07 UTC

More information about MultiStepSSAD at CRAN
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New package gpciProgTyIIImpSam with initial version 0.1.0
Package: gpciProgTyIIImpSam
Title: Generalized Process Capability Indices for Progressive Type-II Censored Data using Importance Sampling
Version: 0.1.0
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Description: Implements Importance Sampling (Sampling Importance Resampling, SIR) for Bayesian parameter estimation and Generalized Process Capability Indices (GPCIs) under progressive Type-II censored data. Evaluates classical and generalized capability indices including Cpy, Cp, Cpk, Cpu, Cpl, Cpm, Cpmk, Spmk, CpTk, Cpc, CNp, CNpk, CNpm, CNpmk, CNpmc, CNpmkc, and Vannman's Cp(u,v) family. Computes initial uncensored estimates, parameter MCMC chains, GPCI posterior chains, point estimates, posterior means, bias, mean squared error (MSE), Bayes risk under loss functions, Highest Posterior Density (HPD) credible intervals at 90%, 95%, and 99% levels, Heidelberger and Welch's MCMC convergence diagnostics, and convergence probabilities. Accommodates user-defined probability density/mass functions, cumulative distribution functions, and survival functions. Methods based on Balakrishnan and Aggarwala (2000) <doi:10.1007/978-1-4612-1186-0>, Maiti et al. (2010) <doi:10.1080/16843703.2010.11673233 [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-31 01:45:46 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Sumit Kumar [aut], Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Repository: CRAN
Date/Publication: 2026-08-07 21:00:02 UTC

More information about gpciProgTyIIImpSam at CRAN
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New package gbif.range with initial version 1.9.1
Package: gbif.range
Version: 1.9.1
Title: Species Range Mapping from GBIF Using Ecoregion Constraints
Depends: R (>= 4.0.0)
Imports: terra, rgbif, CoordinateCleaner, sf, ClusterR, FNN, geometry, cluster, mclust, methods, utils, zip, class, NMOF, stats, tools, graphics, grDevices
Suggests: data.table, knitr, rmarkdown, testthat (>= 3.0.0)
Description: Provides a workflow to retrieve, filter, and analyze 'GBIF' occurrence records and to generate ecologically informed species range maps using downloaded or custom ecoregions. The package includes tools for querying the 'GBIF' backbone taxonomy with get_status(), counting or downloading occurrences with get_gbif_count() and get_gbif(), creating custom ecoregion layers with make_ecoreg(), building range maps with get_range(), and evaluating them against independent validation data with evaluate_range() and cv_range(). A disk-based batch workflow (split_gbif_by_species(), species_csvs_to_ranges(), read_range_rds()) supports large multi-species 'GBIF' exports without loading the full table into memory. Bundled ecoregion layers cover terrestrial (Olson et al. 2001 <doi:10.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2>), marine (Spalding et al. 2007 <doi:10.1641/B570707>), and freshwater (Abell et al. 2008 <doi:10.1641/B580507>) realms. The 'GBIF' API is accessed via the 'rg [...truncated...]
License: GPL (>= 3)
URL: https://github.com/8Ginette8/gbif.range, https://8ginette8.github.io/gbif.range/
BugReports: https://github.com/8Ginette8/gbif.range/issues
Encoding: UTF-8
Language: en-US
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-31 05:00:34 UTC; chauviyo
Author: Yohann Chauvier [cre, aut] , Oskar Hagen [aut] , Stefan Pinkert [aut] , Camille Albouy [aut] , Fabian Fopp [aut] , Philipp Brun [aut] , Patrice Descombes [aut] , Florian Altermatt [aut] , Loic Pellissier [aut] , Katalin Csillery [aut]
Maintainer: Yohann Chauvier <yohann.chauvier@wsl.ch>
Repository: CRAN
Date/Publication: 2026-08-07 20:50:02 UTC

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New package falsifyr with initial version 1.0.0
Package: falsifyr
Title: Adversarial Robustness Attacks for Statistical Claims
Version: 1.0.0
Description: Attacks fitted R model claims by searching for small plausible perturbations that make a target result disappear. The package focuses on claim-level fragility, smallest-kill reporting, and reproducible caveated robustness checks for ordinary fitted model objects. The methods draw on the fragility-index concept of Walsh et al. (2014) <doi:10.1016/j.jclinepi.2013.10.019>, multiverse analysis of Steegen et al. (2016) <doi:10.1177/1745691616658637>, specification-curve analysis of Simonsohn et al. (2020) <doi:10.1038/s41562-020-0912-z>, and robust covariance estimation of Zeileis (2004) <doi:10.18637/jss.v011.i10>.
License: MIT + file LICENSE
URL: https://github.com/msaule/falsifyr, https://msaule.github.io/falsifyr/
BugReports: https://github.com/msaule/falsifyr/issues
Language: en-US
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: cli, ggplot2, parallel, rlang, stats, tibble, vctrs
Suggests: broom, knitr, lme4, lmtest, rmarkdown, rstudioapi, sandwich, shiny, survival, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-31 02:40:11 UTC; saule
Author: Markuss Saule [aut, cre, cph]
Maintainer: Markuss Saule <markusstomas@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-07 20:20:02 UTC

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New package DepDoubleTruncKS with initial version 0.1.0
Package: DepDoubleTruncKS
Title: Kolmogorov-Smirnov Test for Dependently Double-Truncated Durations
Version: 0.1.0
Description: Performs the Kolmogorov-Smirnov-type goodness-of-fit test for exponential duration models under independent or dependently double-truncated sampling scheme using Farlie-Gumbel-Morgenstern ('FGM') copulas, as proposed by Toparkus and Weissbach (2026) <doi:10.1007/s10985-026-09722-0>. Provides functions for profile maximum likelihood estimation / score equation solving, computation of the two-dimensional Kolmogorov-Smirnov test statistic over the double-truncation parallelogram, simulation of the asymptotic Gaussian process limit distribution for critical values and p-value calculation, and synthetic dataset generation.
License: GPL (>= 3)
Depends: R (>= 3.5.0)
Encoding: UTF-8
LazyData: true
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://doi.org/10.1007/s10985-026-09722-0
NeedsCompilation: no
Packaged: 2026-07-31 04:03:55 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-07 20:10:03 UTC

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New package TKApprox with initial version 0.1.0
Package: TKApprox
Title: A General Framework for Bayesian Estimation Using the 'Tierney'-'Kadane' Approximation
Version: 0.1.0
Description: Provides a distribution-independent framework for Bayesian estimation of arbitrary univariate probability models using the 'Tierney'-'Kadane' approximation ('Tierney' & 'Kadane', 1986 <doi:10.1080/01621459.1986.10478240>). Users specify the probability distribution, likelihood, prior distributions, and censoring mechanism, while the package automatically constructs the posterior distribution, computes posterior modes and Hessian matrices, approximates posterior expectations under several Bayesian loss functions, and returns Bayesian parameter estimates, posterior covariance matrices, credible intervals, diagnostic plots, and model comparison statistics. Supports complete, right-, left-, interval-, Type-I, Type-II, progressive Type-II, hybrid, and doubly censored data ('Lawless', 2003 <ISBN:978-0-471-37215-8>; 'Meeker' & 'Escobar', 1998 <ISBN:978-0-471-14328-4>; 'Balakrishnan' & 'Aggarwala', 2000 <ISBN:978-0-8176-4129-0>; 'Kundu' & 'Pradhan', 2009 [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: checkmate, numDeriv, maxLik, rlang, stats, graphics, grDevices, utils, MASS
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, pkgdown, ggplot2, gridExtra
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-30 23:21:30 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-07 20:00:02 UTC

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New package statim with initial version 0.1.0
Package: statim
Title: A Declarative Interface for Statistical Inference
Version: 0.1.0
Description: A declarative interface for statistical inference built on the S7 object system. The layouts of the statistical inference are described using expressive variable mappers, null hypotheses are stated as mathematical expressions over population parameters, and estimation is deferred until explicitly requested. Supports estimation method involving hypothesis testing and model-based inference with an extensible variant system for registering custom estimation methods.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rlang (>= 1.2.0), cli, vctrs (>= 0.7.0), tibble, S7, tidyselect, stats, utils, tabstats (>= 0.2.0), pillar
Suggests: testthat (>= 3.0.0), magrittr, box, rmarkdown, broom, pander, Rfast2, purrr, tidyr, dplyr, forcats, ggplot2, patchwork, sysfonts, showtext, ggdist, ggtext, boot, knitr, fansi, lintr, rstatix, readr, withr
Depends: R (>= 4.1.0)
URL: https://s7-stats.github.io/statim/, https://github.com/s7-stats/statim
BugReports: https://github.com/s7-stats/statim/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-30 23:19:01 UTC; DESKTOP
Author: Joshua Marie [aut, cre], Antoine Soetewey [aut]
Maintainer: Joshua Marie <joshua.marie.k@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-07 19:50:02 UTC

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New package packageRankWrapperDriver with initial version 1.0
Package: packageRankWrapperDriver
Version: 1.0
Date: 2026-07-30
Title: Wrapper to Facilitate Tabulating the Daily Quartile Ranking of Downloads of your Packages
Maintainer: Barry Zeeberg <barryz2013@gmail.com>
Author: Barry Zeeberg [aut, cre]
Depends: R (>= 4.2.0)
LazyData: true
Imports: packageRank, pkgsearch
Description: This is a convenient program to tabulate the daily quartile ranking of downloads of your packages. It is designed to be slightly more convenient than the several similar programs. You do not need to keep typing in the names of your packages each time you want to run this.
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Repository: CRAN
Packaged: 2026-07-31 00:22:05 UTC; barryzeeberg
Date/Publication: 2026-08-07 19:40:02 UTC

More information about packageRankWrapperDriver at CRAN
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New package MultiFrailty with initial version 0.1.0
Package: MultiFrailty
Title: Shared Frailty Regression Models with Inverse Gaussian, Generalized Lindley, and Gamma Frailty Distributions
Version: 0.1.0
Description: Implements shared frailty regression models for survival data under eight censoring mechanisms: exact, right censoring (Kalbfleisch and Prentice, 2002), left censoring, interval censoring (Sun, 2006), progressive Type I censoring, and progressive Type II censoring (Balakrishnan and Aggarwala, 2000 <doi:10.1007/978-1-4612-1334-5>). Combines four frailty distributions -- Gamma (Clayton, 1978), Inverse Gaussian (Hougaard, 1984), and two variants of the Generalized Lindley (GL) distribution: GL Type 1, a two-component gamma mixture with distribution-specific scale/shape linkage (Pandey, Hanagal, and Tyagi, 2022), and GL Type 2, a two-component gamma mixture with a common rate parameter (Pandey and Tyagi, 2021 <doi:10.1134/S1995080222010140>) -- with two baseline hazard distributions: the two-parameter Weibull distribution (Weibull, 1951) and the three-parameter Generalized (Exponentiated) Weibull distribution (Mudholkar and Srivastava, 1993 <doi:10.1109/24.229504>). A no- [...truncated...]
License: GPL-3
Depends: R (>= 4.0.0)
Imports: survival, maxLik, numDeriv, stats, graphics, grDevices, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-30 23:00:46 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-07 19:40:06 UTC

More information about MultiFrailty at CRAN
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New package gpciProgTyII with initial version 0.1.0
Package: gpciProgTyII
Title: Generalized Process Capability Indices under Progressive Type-II Censoring
Version: 0.1.0
Description: Provides a comprehensive generalized framework for parameter estimation and Generalized Process Capability Indices (GPCIs) under Progressive Type-II censored data using the MleCensoR package. Accepts user-supplied probability density functions (PDF/PMF), cumulative distribution functions (CDF), and survival functions (SF). Computes classical and generalized capability indices including Cpy (Maiti et al., 2010 <doi:10.1080/16843703.2010.11673233>), Spmk (Dey & Saha, 2019 <doi:10.1007/s41872-019-00081-4>), CpTk (Saha et al., 2019), Cpc (Saha et al., 2022 <doi:10.1080/02664763.2021.1971632>), CNpmc (Alotaibi et al., 2022 <doi:10.1155/2022/3135264>), CNpmkc (Saha et al., 2024 <doi:10.1142/S021853932450013X>), CNpk (Saha et al., 2018 <doi:10.1080/21681015.2018.1437793>), and Vannman's Cp(u,v) family. Evaluates parametric and non-parametric bootstrap confidence intervals at 90%, 95%, and 99% levels of significance. Computes Standard Errors, Mean Square [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices, numDeriv, boot, MleCensoR
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-31 00:05:22 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Sumit Kumar [aut], Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-07 19:20:02 UTC

More information about gpciProgTyII at CRAN
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New package zentraR with initial version 0.1.3
Package: zentraR
Title: R Client for the ZENTRA Cloud V5 API
Version: 0.1.3
Description: Downloads environmental sensor data from the ZENTRA Cloud V5 API (<https://api.zentracloud.io>) into tidy data frames. Provides device discovery, reading retrieval with automatic pagination and rate-limit handling, tidy long output with a wide-format helper, and an incremental 'sync' engine with pluggable local storage (RDS files, CSV files, or return-only) so that new readings can be fetched on a schedule and appended to a growing local record.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, httr2 (>= 1.0.0), rlang (>= 1.0.0), tibble, tidyr, vctrs
Suggests: jsonlite, knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
URL: https://gitlab.com/meter-group-inc/pubpackages/zentraR
BugReports: https://gitlab.com/meter-group-inc/pubpackages/zentraR/-/work_items
NeedsCompilation: no
Packaged: 2026-07-30 18:31:17 UTC; travis
Author: Travis Bates [aut, cre], METER Group, Inc. [cph, fnd]
Maintainer: Travis Bates <travis@metergroup.com>
Repository: CRAN
Date/Publication: 2026-08-07 17:20:02 UTC

More information about zentraR at CRAN
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New package topocast with initial version 0.0.5
Package: topocast
Title: Moving-Window Regression Downscaling of Raster Data
Version: 0.0.5
Description: Downscales coarse-resolution raster data to a finer grid by fitting local linear regressions of a response, such as a climate variable, on one or more fine-resolution predictors, such as elevation and other terrain indices, within a moving window. Regression coefficients are estimated for every cell using summed-area tables, so the cost is independent of the window size, then resampled to the target resolution and applied to the fine-resolution predictors. Multiplicative and additive anomaly application downscale time series relative to a baseline climatology, following the regression-on-elevation approach used for high-resolution climate surfaces described in Karger et al. (2017) <doi:10.1038/sdata.2017.122>.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 1.0.0), terra (>= 1.7.0)
Suggests: knitr, raster, rmarkdown, sf, stars, svglite, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++17
VignetteBuilder: knitr
URL: https://gillescolling.com/topocast/, https://github.com/gcol33/topocast
BugReports: https://github.com/gcol33/topocast/issues
NeedsCompilation: yes
Packaged: 2026-07-30 18:51:39 UTC; Gilles Colling
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-07 17:20:08 UTC

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New package swelex with initial version 0.1.0
Package: swelex
Title: Access the Swedish Code of Statutes via Riksdagen's Open Data
Version: 0.1.0
Description: Provides functions to search and retrieve the consolidated text of Swedish statutes (Svensk författningssamling, SFS) via the Riksdag's open data API. Part of the lexverse ecosystem of packages for accessing legal and regulatory data.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, httr2, stats, tibble, utils
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0), urlchecker
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-30 10:29:56 UTC; kristianvepsalainen
Author: Kristian Vepsaelaeinen [aut, cre]
Maintainer: Kristian Vepsaelaeinen <kristian.vepsalainen@proton.me>
Repository: CRAN
Date/Publication: 2026-08-07 17:10:02 UTC

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New package smoothROC with initial version 0.1.0
Package: smoothROC
Title: Kernel-Smoothed ROC and AUC with Bandwidth Selection
Version: 0.1.0
Author: Ruhul Ali Khan [aut, cre] , Musie Ghebremichael [aut]
Maintainer: Ruhul Ali Khan <ruhulali.khan@gmail.com>
Description: Computes kernel-smoothed receiver operating characteristic (ROC) curves and area under the curve (AUC), including confidence intervals, using several bandwidth selection methods. Also provides the Youden index with confidence intervals, the Youden point, and optimal diagnostic cutoff estimation. Supports Gaussian, Biweight, and Epanechnikov kernels.
License: MIT + file LICENSE
Depends: R (>= 3.5)
Imports: ggplot2 (>= 3.4.0), rlang, stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-30 17:29:49 UTC; ruhul
Repository: CRAN
Date/Publication: 2026-08-07 17:10:07 UTC

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New package MineSDG with initial version 0.4.0
Package: MineSDG
Title: Mining Industry SDG Impact Calculator
Version: 0.4.0
Description: Provides tools to calculate quantitative scores for the United Nations Sustainable Development Goals (SDGs) for the mining, minerals and metals sector. Retrieves official indicator data from the 'United Nations SDG API', runs trend, stability, benchmarking and convergence diagnostics, maps indicators to mining-sector materiality domains via a bundled ontology, computes site-level Key Performance Indicators (KPIs) aligned with Global Reporting Initiative (GRI) 11, International Council on Mining and Metals (ICMM) Mining Principles and Sustainability Accounting Standards Board (SASB) EM-MM conventions, scores sites on a 0-100 SDG scorecard, and ships an interactive 'shiny' dashboard with demonstration datasets. An Environmental, Social and Governance (ESG) reporting layer generates Global Reporting Initiative (GRI), International Council on Mining and Metals (ICMM) and Business Responsibility and Sustainability Reporting (BRSR) reports from a disclosure bundle interface, with framework m [...truncated...]
URL: https://imanojkumar.github.io/MineSDG/
BugReports: https://github.com/imanojkumar/MineSDG/issues/
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: httr2 (>= 1.0.0), data.table (>= 1.15.0), dplyr, ggplot2, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, shiny, DT, quarto, openxlsx2
VignetteBuilder: knitr
SystemRequirements: Quarto CLI (>= 1.4) (optional, for report rendering)
NeedsCompilation: no
Packaged: 2026-07-30 19:57:14 UTC; aadhy
Author: Manoj Kumar [aut, cre]
Maintainer: Manoj Kumar <ekumarmanoj@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-07 17:20:21 UTC

More information about MineSDG at CRAN
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New package litReview with initial version 1.0.0
Package: litReview
Title: Summarizing Graphs for Literature Reviews
Version: 1.0.0
Description: Summarizes and visualizes categorical data extracted during literature reviews and evidence syntheses, starting from a data frame with one row per study. Generates publication-ready bar, stacked bar, histogram, waffle, donut, treemap, alluvial, trend, co-occurrence, 'UpSet', tree, and study-by-criteria matrix figures, together with world maps and formatted summary tables. Plot functions return standard 'ggplot2' objects that can be further customized, and an interactive 'Shiny' application is included for building figures without writing code. Aims to help researchers report study characteristics consistently across many publications.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/sonsoleslp/litReview, https://sonsoles.me/litReview/
BugReports: https://github.com/sonsoleslp/litReview/issues
Imports: cli, dplyr, ggplot2, ggtext, gt, rlang, tidyr (>= 1.3.0)
Suggests: bslib (>= 0.5.0), ggalluvial, ggfittext, ggupset, RColorBrewer, treemapify, maps, knitr, readxl, rmarkdown, shiny (>= 1.7.0), testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-30 20:33:29 UTC; slopezpe
Author: Sonsoles Lopez-Pernas [aut, cre, cph], Kamila Misiejuk [aut], Mohammed Saqr [aut]
Maintainer: Sonsoles Lopez-Pernas <sonsoles.lopez@uef.fi>
Repository: CRAN
Date/Publication: 2026-08-07 17:20:14 UTC

More information about litReview at CRAN
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New package tinycache with initial version 0.1
Package: tinycache
Title: Cache Objects in Disk or Memory
Version: 0.1
Suggests: tinytest
Imports: utils
Depends: R(>= 4.0.0)
Description: Reuse objects with a long processing time either by storing those in disk or memory. Uses caching to identify R objects (e.g., data frames, plots, etc.) and allows repeated access to those. Created with the specific goal of skipping the waiting time for summary tables obtained from large 'SQL' tables. It is extensible to other uses, such as caching plots in 'Tabler' dashboards to reduce waiting times.
License: Apache License 2.0
BugReports: https://github.com/pachadotdev/tinycache/issues
URL: https://pacha.dev/tinycache/
Encoding: UTF-8
NeedsCompilation: yes
LinkingTo: cpp4r
Packaged: 2026-07-29 19:28:54 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-07 16:50:02 UTC

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New package spatialkit with initial version 1.0.0
Package: spatialkit
Title: Spatial Tessellation, Modeling, and Cross-Validation Toolkit
Version: 1.0.0
Description: A modular toolkit for spatial analysis workflows including coordinate reference system management, Voronoi/Delaunay/grid tessellation, feature-to-polygon assignment, geographically weighted regression (GWR, via 'GWmodel'), Bayesian spatial Gaussian process regression (via 'brms'), spatial cross-validation with block and buffered strategies, and model comparison. Provides an S3 class system ('spatial_fit') with consistent predict, fitted, and residuals methods across model backends.
License: MIT + file LICENSE
URL: https://github.com/elkronos/gis_modeling_toolkit
BugReports: https://github.com/elkronos/gis_modeling_toolkit/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: sf (>= 1.0), dplyr (>= 1.0), logger, digest, stats, methods, utils, parallel
Suggests: sp, GWmodel, brms, cmdstanr, loo, tibble, geometry, gstat, ggplot2, patchwork, FNN, Matrix, testthat (>= 3.0.0), knitr, rmarkdown
Additional_repositories: https://stan-dev.r-universe.dev
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-30 06:33:36 UTC; appleair
Author: Justin Chase [aut, cre, cph]
Maintainer: Justin Chase <jchase.msu@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-07 16:40:02 UTC

More information about spatialkit at CRAN
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New package shinyelectron with initial version 0.2.1
Package: shinyelectron
Title: Export 'Shiny' Applications as Desktop Apps using 'Electron'
Version: 0.2.1
Description: Provides tools to export 'Shiny' applications written in 'R' or 'Python' as standalone desktop applications using 'Electron'. The applications run as native, cross-platform programs. Depending on the runtime strategy chosen, end users do not need 'R' or 'Python' installed on their machine.
License: AGPL (>= 3)
URL: https://r-pkg.thecoatlessprofessor.com/shinyelectron/, https://github.com/coatless-rpkg/shinyelectron
BugReports: https://github.com/coatless-rpkg/shinyelectron/issues
Depends: R (>= 4.4.0)
Imports: cli (>= 3.6.6), fs (>= 2.1.0), jsonlite (>= 2.0.0), rappdirs (>= 0.3.4), whisker (>= 0.4.1), processx (>= 3.9.0), stats, tools, utils, yaml (>= 2.3.12)
Suggests: testthat (>= 3.3.2), mockery (>= 0.4.5), quarto (>= 1.5.1), renv (>= 1.2.3), shinylive (>= 0.5.0), withr (>= 3.0.3)
VignetteBuilder: quarto
SystemRequirements: Node.js (>= 22.0.0), npm (>= 11.5.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-29 20:40:18 UTC; ronin
Author: James Joseph Balamuta [aut, cre, cph]
Maintainer: James Joseph Balamuta <james.balamuta@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-07 16:10:02 UTC

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New package SeattleOpenData with initial version 0.1.0
Package: SeattleOpenData
Title: A Lightweight Interface to Seattle Open Data APIs
Version: 0.1.0
Description: Provides a unified set of helper functions to access datasets from the Seattle Open Data platform <https://data.seattle.gov/>. Functions return results as tidy tibbles and support optional filtering, sorting, and row limits via the Socrata API. The package provides a consistent interface for discovering and downloading datasets from the Seattle Open Data Portal using human-readable dataset keys or official Socrata dataset identifiers.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: curl, dplyr, httr, janitor, jsonlite, rlang, tibble
Suggests: ggplot2, knitr, rmarkdown, scales, testthat (>= 3.0.0), tidyr, vcr (>= 0.6.0), webmockr
URL: https://github.com/gomes-sh/SeattleOpenData
BugReports: https://github.com/gomes-sh/SeattleOpenData/issues
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-07-30 00:19:18 UTC; magic
Author: Shelby Lyn Gomes [aut] , Christian Martinez [aut, cre]
Maintainer: Christian Martinez <c.martinez0@outlook.com>
Repository: CRAN
Date/Publication: 2026-08-07 16:40:09 UTC

More information about SeattleOpenData at CRAN
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New package RougeLM with initial version 1.0.0
Package: RougeLM
Title: Data Accompanying the Book "The Rogue's Guide to Linear Models"
Version: 1.0.0
Description: Datasets and utilities for teaching linear models in the context of the BetaBit universe (StatPunk). The package provides simulated datasets based on the fictional LifeCalc algorithmic scoring system, illustrating concepts such as simple regression, ANOVA, ANCOVA, hierarchical models, multicollinearity, model selection (AIC, BIC), and regularisation (LASSO, Ridge). Each dataset is accompanied by a narrative context connecting statistical methodology to questions of algorithmic fairness and social consequence.
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: ggplot2, patchwork
Suggests: MASS, effectsize, segmented, glmnet, car, emmeans, lme4, testthat (>= 3.0.0), knitr, rmarkdown, pkgdown
VignetteBuilder: knitr
License: MIT + file LICENSE
URL: https://github.com/BetaAndBit/RougeLM
BugReports: https://github.com/BetaAndBit/RougeLM/issues
NeedsCompilation: no
Packaged: 2026-07-29 19:17:56 UTC; pbiecek
Author: Przemyslaw 'Prem' Biecek [aut, cre], Bit Data [aut], Beta Data [aut]
Maintainer: Przemyslaw 'Prem' Biecek <przemyslaw.biecek@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-07 16:10:17 UTC

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New package RegCalib with initial version 0.1.0
Package: RegCalib
Title: Regression Calibration for Measurement Error Correction
Version: 0.1.0
Description: Corrects for measurement error in continuous exposures and covariates using regression calibration methods. Provides corrected coefficients, standard errors, p-values, confidence intervals, and variance-covariance matrices for linear and generalized linear outcome models under an external validation study design. Implements the deattenuation factor method (RegCalibDF) and the substitution approach (RegCalibSub). Supports single and multiple error-prone exposures.
License: GPL-3
Encoding: UTF-8
Imports: stats, dplyr, Matrix, matrixcalc
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/JingyuCui639/RegCalib
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
BugReports: https://github.com/JingyuCui639/RegCalib/issues
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2026-07-30 07:10:26 UTC; jc4428
Author: Jingyu Cui [aut, cre] , Wenze Tang [aut] , Molin Wang [aut]
Maintainer: Jingyu Cui <jingyu.cui@yale.edu>
Repository: CRAN
Date/Publication: 2026-08-07 16:30:20 UTC

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New package RCppAD with initial version 1.20260000.0
Package: RCppAD
Title: 'CppAD' C++ Header Files for Automatic Differentiation
Version: 1.20260000.0
Maintainer: Patrick Brown <patrick.borgnine@gmail.com>
Description: Provides the 'CppAD' C++ header library for automatic differentiation, for use by R packages via LinkingTo. Headers are vendored with CRAN-safe defaults and R-safe error handling that does not call std::cerr or std::exit. The two final components of the version number are the 'CppAD' release number.
License: GPL (>= 2)
URL: https://github.com/eborgnine/adlaplace/
Depends: R (>= 3.5.0)
NeedsCompilation: no
Encoding: UTF-8
Packaged: 2026-07-29 22:04:17 UTC; patrick
Author: Patrick Brown [aut, cre, cph], Bradley M. Bell [aut, cph] , COIN-OR Foundation [cph]
Repository: CRAN
Date/Publication: 2026-08-07 16:10:22 UTC

More information about RCppAD at CRAN
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New package pkgmd with initial version 0.1
Package: pkgmd
Title: Generate Markdown Reference Documentation for R Packages
Version: 0.1
Description: Generates plain Markdown reference documentation for any R package, installed or a local development source tree, optimized for rendering in the 'GitHub'/'Gitea' browser UI and for use as LLM context (e.g. 'Claude Code'). Reads Rd documentation via tools::Rd_db() (installed packages) or directly from man/*.Rd (development packages, no installation required) and renders one file per topic plus a navigable index.
License: MIT + file LICENSE
URL: https://github.com/peterczerner/pkgmd
BugReports: https://github.com/peterczerner/pkgmd/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: purrr (>= 1.0.0), glue (>= 1.6.0), cli (>= 3.0.0), fs (>= 1.6.0)
Suggests: testthat (>= 3.0.0), dplyr, withr, roxygen2 (>= 7.0.0)
NeedsCompilation: no
Packaged: 2026-07-29 19:41:54 UTC; peter
Author: Peter Czerner [aut, cre]
Maintainer: Peter Czerner <peterretep@posteo.de>
Repository: CRAN
Date/Publication: 2026-08-07 16:10:10 UTC

More information about pkgmd at CRAN
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New package multichainr with initial version 0.1.0
Package: multichainr
Title: R Interface to the 'MultiChain' Blockchain RPC API
Version: 0.1.0
Description: Provides a comprehensive R interface to the 'MultiChain' blockchain JSON-RPC API <https://www.multichain.com/developers/json-rpc-api/>. Allows users to manage blockchain nodes, create and subscribe to data streams, issue assets, and manage network permissions directly from the R console. Supports both local node management and remote server interaction.
License: MIT + file LICENSE
URL: https://github.com/datascienceadvice/multichainr, https://datascienceadvice.github.io/multichainr/
BugReports: https://github.com/datascienceadvice/multichainr/issues
Depends: R (>= 3.6.0)
Imports: httr2, jsonlite, magrittr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: MultiChain (>= 2.0) <https://www.multichain.com/download-install/>
NeedsCompilation: no
Packaged: 2026-07-30 13:56:15 UTC; Angel
Author: Aliaksandr Martsinkevich [aut, cre]
Maintainer: Aliaksandr Martsinkevich <alex@capsula.by>
Repository: CRAN
Date/Publication: 2026-08-07 17:00:02 UTC

More information about multichainr at CRAN
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New package mobdb with initial version 1.0.1
Package: mobdb
Title: Access the 'Mobility Database' API to Discover Transit Feeds
Version: 1.0.1
Description: Search and access transit feed data from the 'Mobility Database' <https://mobilitydatabase.org>. The package wraps the 'Mobility Database' API, allowing users to discover 'GTFS' (General Transit Feed Specification) and 'GBFS' (General Bikeshare Feed Specification) feeds from agencies worldwide. Functions are designed to integrate seamlessly with packages like 'tidytransit' and 'gtfstools' for subsequent feed analysis.
URL: https://mobdb.jasonadle.dev, https://github.com/jasonad123/mobdb
BugReports: https://github.com/jasonad123/mobdb/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: curl, httr2 (>= 1.0.0), cli (>= 3.0.0), rlang (>= 1.0.0), tibble (>= 3.0.0), dplyr (>= 1.0.0), lifecycle, digest
Suggests: testthat (>= 3.0.0), withr (>= 2.0.0), httptest2, knitr, rmarkdown, tidytransit, gtfsio, keyring, sf, gbfs, zip, hms
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-30 17:04:33 UTC; Jason
Author: Jason Adle [aut, cre, cph]
Maintainer: Jason Adle <developer@jasonadle.dev>
Repository: CRAN
Date/Publication: 2026-08-07 17:00:15 UTC

More information about mobdb at CRAN
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New package loclm with initial version 1.0.0
Package: loclm
Title: Local Linear Regression
Version: 1.0.0
Description: A bare-bones implementation of local linear regression, using high-level functions. Can handle both numerical and non-numerical (factor) variables. See Loader (1999) <doi:10.1007/b98858>, ch2, or Hastie et al (2009) <doi:10.1007/978-0-387-84858-7>, ch6. The package also contains a scale_df() function which only scales the numeric variables in a dataframe.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: stats
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-30 06:00:31 UTC; jonathan
Author: Jonathan Rougier [aut, cre]
Maintainer: Jonathan Rougier <j.c.rougier@bristol.ac.uk>
Repository: CRAN
Date/Publication: 2026-08-07 16:30:02 UTC

More information about loclm at CRAN
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New package IncrementalityTEST with initial version 0.1.1
Package: IncrementalityTEST
Title: Analyze Incrementality Experiments
Version: 0.1.1
Description: Tools for calculating commerce metrics, pairing treatment and control results from A/B testing experiments, estimating incremental effects, and quantifying uncertainty with Student's t and nonparametric bootstrap confidence intervals. Includes validation helpers, a high-level analysis workflow, and compatibility functions for the original package interface.
License: Apache License (>= 2)
URL: https://github.com/vkobayashi/IncrementalityTEST
BugReports: https://github.com/vkobayashi/IncrementalityTEST/issues
Depends: R (>= 4.1.0)
Suggests: boot (>= 1.3-18), knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-30 08:01:36 UTC; vladimerkobayashi
Author: Vladimer Kobayashi [aut, cre]
Maintainer: Vladimer Kobayashi <vladimer.kobayashi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-07 16:30:25 UTC

More information about IncrementalityTEST at CRAN
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New package gpciImpSam with initial version 0.1.0
Package: gpciImpSam
Title: Importance Sampling Estimation of Generalized Process Capability Indices
Version: 0.1.0
Description: Provides a comprehensive generalized framework for parameter estimation and Generalized Process Capability Indices (GPCIs) under uncensored data using Importance Sampling (ImpSam). Supports user-supplied probability density functions (PDF/PMF), cumulative distribution functions (CDF), and survival functions (SF). Computes classical and generalized capability indices including Cpy (Maiti et al., 2010 <doi:10.1080/16843703.2010.11673233>), Spmk (Dey & Saha, 2019 <doi:10.1080/00949655.2019.1671980>), CpTk (Saha et al., 2019), Cpc (Saha et al., 2022 <doi:10.1080/02664763.2021.1971632>), CNpmc (Alotaibi et al., 2022 <doi:10.1155/2022/3135264>), CNpmkc (Saha et al., 2024 <doi:10.1142/S021853932450013X>), CNpk (Saha et al., 2018 <doi:10.1080/21681015.2018.1437793>), and Vannman's Cp(u,v) family. Generates parameter and GPCI MCMC chains via Sampling Importance Resampling (SIR) after burn-in and thinning. Provides point estimates, bias, MSE, risk values, [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices, numDeriv, boot
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-30 02:35:41 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-07 16:30:07 UTC

More information about gpciImpSam at CRAN
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New package distspec with initial version 0.1.0
Package: distspec
Title: Probability Distributions with Certain or Uncertain Parameters
Version: 0.1.0
Description: Represents probability distributions with fixed or potentially uncertain parameters, with tools to discretise, convolve, sample from and summarise them.
License: MIT + file LICENSE
URL: https://epiforecasts.io/distspec/
BugReports: https://github.com/epiforecasts/distspec/issues
Depends: R (>= 3.5.0)
Imports: cli, lifecycle, methods, primarycensored, rlang, stats, truncnorm, utils
Suggests: covr, ggplot2, knitr, rmarkdown, spelling, testthat
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2026-07-30 09:56:28 UTC; eidesfun
Author: Sebastian Funk [aut, cre] , James M. Azam [aut] , Sam Abbott [aut]
Maintainer: Sebastian Funk <sebastian.funk@lshtm.ac.uk>
Repository: CRAN
Date/Publication: 2026-08-07 16:50:06 UTC

More information about distspec at CRAN
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New package censosbo with initial version 2.0.0
Package: censosbo
Title: Access and Analysis of Bolivian Census Microdata
Version: 2.0.0
Description: Programmatic access to the microdata of the Bolivian population and housing censuses of 1976, 1992, 2001, 2012 and 2024, published by the National Statistics Institute of Bolivia (INE, <https://www.ine.gob.bo/>). Data files in Apache Parquet format are downloaded on demand from a companion data repository, cached locally, and can be filtered by department, province or municipality. Supports 'dplyr' workflows through Apache Arrow and SQL queries through 'DuckDB'. Includes variable dictionaries for every census year with a thematic taxonomy and contextual metadata (reference population, questionnaire item number and provenance of each variable), derived from the census questionnaires and from the Data Documentation Initiative (DDI) files of the INE ANDA catalogue; functions to harmonise variables across censuses for temporal comparison; and choropleth maps at the department and municipality level. Also includes the 2024 census aggregates for urban blocks and rural communities, with [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: es
LazyData: true
LazyDataCompression: xz
URL: https://lab-tecnosocial.github.io/censosbo/, https://github.com/lab-tecnosocial/censosbo
BugReports: https://github.com/lab-tecnosocial/censosbo/issues
Depends: R (>= 4.2)
Imports: arrow (>= 14.0.0), curl, cli, fs, rlang, tools, stats, dplyr, sf
Suggests: duckdb (>= 0.9.0), DBI, ggplot2, DT, testthat (>= 3.0.0), withr, knitr, rmarkdown, tidyr, scales
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-30 00:23:54 UTC; alexojeda
Author: Alex Ojeda Copa [aut, cre, cph] , Lab TecnoSocial [cph, fnd]
Maintainer: Alex Ojeda Copa <alex@labtecnosocial.org>
Repository: CRAN
Date/Publication: 2026-08-07 16:30:12 UTC

More information about censosbo at CRAN
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New package rjd3qr with initial version 0.4.2
Package: rjd3qr
Title: 'JDemetra+' Quality Report Generator
Version: 0.4.2
Description: Tool for generating quality reports from cruncher outputs (and calculating series scores). The latest version of the cruncher can be downloaded here: <https://github.com/jdemetra/jwsacruncher/releases>.
License: EUPL
URL: https://github.com/InseeFr/rjd3qr, https://inseefr.github.io/rjd3qr/
BugReports: https://github.com/InseeFr/rjd3qr/issues
Depends: R (>= 4.1)
Imports: openxlsx, stats, tools, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-29 15:22:22 UTC; SHT3RT
Author: Tanguy Barthelemy [aut, art], Eulalie Delaune [aut, cre], Alain Quartier-la-Tente [aut] , Institut national de la statistique et des etudes economiques [cph] , Anna Smyk [aut]
Maintainer: Eulalie Delaune <timeserieswithjdemetraandr@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-07 15:40:02 UTC

More information about rjd3qr at CRAN
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New package ImpAdaptType2Censor with initial version 0.1.0
Package: ImpAdaptType2Censor
Title: Data Generation and Statistical Inference for Improved Adaptive Type-II Progressive Censoring Schemes
Version: 0.1.0
Description: Comprehensive computational routines for random data generation, Maximum Likelihood Estimation (MLE), Maximum Product of Spacings Estimation (MPSE), and MCMC Bayesian estimation under the Improved Adaptive Type-II Progressive Censoring Scheme (IAT-II PCS). Users can supply custom probability density functions (PDF), cumulative distribution functions (CDF), survival functions, parameter ranges, and progressive censoring plans for any continuous univariate lifetime distribution, or rely on built-in parametric models (e.g., Generalized Exponential). Point estimation methods include MLE via optimization algorithms (Broyden-Fletcher-Goldfarb-Shanno (BFGS), Newton-Raphson (NR), Nelder-Mead (NM), Conjugate Gradients (CG), L-BFGS-B, Simulated Annealing (SANN), and Berndt-Hall-Hall-Hausman (BHHH)) and MPSE. Bayesian inference utilizes Metropolis-Hastings within Gibbs sampling under Squared Error Loss (SEL) and LINEX Loss (LL) functions to compute point estimates and Highest Posterior Density (H [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-29 16:04:53 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-07 15:30:02 UTC

More information about ImpAdaptType2Censor at CRAN
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New package fastrda with initial version 0.1.2
Package: fastrda
Title: Fast Redundancy Analysis (RDA) with High-Performance 'C++' Backend
Version: 0.1.2
Description: Provides a high-performance implementation of redundancy analysis (RDA) in 'C++' using 'Armadillo' and 'OpenMP'. Supports standard and partial RDA, centering, scaling, overall and axis-wise permutation tests, biplot visualization, score extraction, and prediction. Designed for large ecological, genomic, and other multivariate data sets where computational speed and memory efficiency are important.
Depends: R (>= 4.0.0)
Imports: Rcpp (>= 1.0.0), parallel, ggplot2 (>= 3.3.0)
Suggests: RhpcBLASctl, ggrepel (>= 0.9.0), RColorBrewer (>= 1.1-2), knitr, rmarkdown, vegan
LinkingTo: Rcpp, RcppArmadillo (>= 0.12.0)
VignetteBuilder: knitr
License: GPL (>= 3)
Encoding: UTF-8
SystemRequirements: OpenMP
NeedsCompilation: yes
Packaged: 2026-07-29 20:35:11 UTC; user1
Author: Zeynel Cebeci [aut, cre]
Maintainer: Zeynel Cebeci <cebeciz@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-07 16:00:02 UTC

More information about fastrda at CRAN
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New package EDE with initial version 0.1.0
Package: EDE
Title: Extinction Date Estimation from Sighting Records
Version: 0.1.0
Maintainer: Rodrigo Fonseca Villa <rodrigo03.villa@gmail.com>
Description: Estimates the historic date of extinction of a species from a time-ordered record of sighting events. Given a table of sighting counts per year, computes extinction date estimators from the sighting-record literature: optimal linear estimation under a record-value model (Roberts & Solow, 2003), nonparametric and sighting-effort-weighted persistence tests (Solow, 1993; Solow, 2005), a sighting-rate persistence test comparable across records with different observation periods (McInerny, Roberts, Davy & Cribb, 2006), a classical confidence interval on the end of a temporal range (Strauss & Sadler, 1989), a truncation-point extrapolation (Robson & Whitlock, 1964), and a combinatorial persistence test based on inclusion-exclusion over sighting-gap occupancy (Burgman, Grimson & Ferson, 1995). Every estimator is built on a single validated input object and returns a common result class with, where defined, a point estimate, a confidence interval, or a full persistence-prob [...truncated...]
Language: en-US
License: GPL (>= 3)
URL: https://github.com/rodrigosqrt3/EDE
BugReports: https://github.com/rodrigosqrt3/EDE/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-29 23:13:44 UTC; rodri
Author: Rodrigo Fonseca Villa [aut, cre]
Repository: CRAN
Date/Publication: 2026-08-07 16:00:14 UTC

More information about EDE at CRAN
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New package dynamicmultiplex with initial version 1.1.0
Package: dynamicmultiplex
Title: Community Detection for Evolving Multiplex Networks
Version: 1.1.0
Description: Multiplex temporal community detection with customizable interlayer coupling. Runs Louvain or Leiden community detection on each network layer and constructs interlayer ties using Jaccard similarity, overlap coefficient, node-strength weighted variants, or direct node identity links, and also provides a two-stage snapshot-and-match tracker that aligns independently detected per-layer communities across time with the Hungarian assignment algorithm. Supports user-specified layer connectivity via the layer_links argument, enabling adjacent-only temporal coupling that avoids the long-range pooling problem in standard multislice approaches.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: clue, igraph (>= 2.0.0), rlang
Suggests: testthat (>= 3.0.0), ggplot2, gganimate, gifski, ggalluvial, RColorBrewer, dplyr, tidyr, peacesciencer
URL: https://github.com/jfedgerton/dynamic_multiplex
BugReports: https://github.com/jfedgerton/dynamic_multiplex/issues
NeedsCompilation: no
Packaged: 2026-07-29 18:19:41 UTC; root
Author: Jared Edgerton [aut, cre]
Maintainer: Jared Edgerton <jared.edgerton@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-07 16:00:08 UTC

More information about dynamicmultiplex at CRAN
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New package DLCA with initial version 1.0
Package: DLCA
Version: 1.0
Date: 2026-07-29
Title: Divisive Latent Class Analysis
Author: Daniel W. van der Palm [aut, cre], L. Andries van der Ark [ctb]
Maintainer: Daniel W. van der Palm <danielvdpalm@gmail.com>
Imports: Rcpp (>= 0.11.4)
LinkingTo: Rcpp
SystemRequirements: OpenMP
Description: Provides algorithms for estimating divisive and standard latent class models. The divisive latent class method follows van der Palm, van der Ark and Vermunt (2016) <doi:10.1007/s00357-016-9195-5>. Both algorithms use expectation-maximization and Newton-Raphson optimization and are implemented in 'C++' for speed through 'Rcpp'.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2026-07-29 17:36:50 UTC; d.vanderpalm
Repository: CRAN
Date/Publication: 2026-08-07 15:20:02 UTC

More information about DLCA at CRAN
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New package commons with initial version 0.0.1
Package: commons
Title: AI Agents for Data Analysis
Version: 0.0.1
Description: Implements large language model agents for answering questions about database tables. Agents combine 'DBI' database connections with table and column metadata from a data dictionary (<https://data-dict.tidyverse.org/>), using registered calculations when applicable and generating database queries otherwise. They can also be embedded in a 'Shiny' application.
License: MIT + file LICENSE
URL: https://github.com/posit-dev/commons, https://posit-dev.github.io/commons/
BugReports: https://github.com/posit-dev/commons/issues
Imports: cli, DBI, ellmer (>= 0.4.1), jsonlite, knitr, rlang (>= 1.1.0), roxygen2, S7, utils
Suggests: bsicons, bslib, dbplyr, dplyr, duckdb, rmarkdown, shiny, shinychat, testthat (>= 3.0.0), withr, yaml
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-29 18:16:43 UTC; simoncouch
Author: Simon Couch [aut, cre] , Sara Altman [aut], Garrick Aden-Buie [ctb] , Carson Sievert [ctb] , Posit Software, PBC [cph, fnd]
Maintainer: Simon Couch <simon.couch@posit.co>
Repository: CRAN
Date/Publication: 2026-08-07 15:50:02 UTC

More information about commons at CRAN
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New package acR with initial version 0.3.2
Package: acR
Title: Content Analysis in R: Integrated Qualitative (LLMs) and Quantitative Pipeline
Version: 0.3.2
Description: Provides an integrated pipeline for content analysis combining qualitative coding assisted by large language models (LLMs) with classical quantitative text analysis. Includes modules for pre-processing (tokenization, stopwords for Brazilian Portuguese), descriptive statistics, keyness, co-occurrence networks, word clouds (including comparative and X-ray variants), sentiment analysis via OpLexicon, Latent Dirichlet Allocation (LDA), inter-coder reliability metrics (Krippendorff, Gwet), and modern visualizations based on ggplot2. Special focus on Brazilian corpora and political-institutional codebooks. Inspired by Maerz and Benoit (2025) <https://quallmer.github.io/quallmer/>.
License: MIT + file LICENSE
URL: https://github.com/andersonheri/acR, https://ahenriquecp.com/acR/
BugReports: https://github.com/andersonheri/acR/issues
Depends: R (>= 4.1)
Imports: cli, dplyr, httr2, irr, jsonlite, purrr, rlang, stringr, tibble, tidyr, tidyselect, withr, yaml
Suggests: callr, cluster, covr, ellmer, ggplot2, ggraph, ggwordcloud, igraph, ipeaplot, knitr, shiny, openxlsx, pkgdown, quanteda, readtext, rmarkdown, scales, senatebR, spelling, stopwords, stringi, tesseract, testthat, tidytext, topicmodels, wordcloud, writexl
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-29 15:32:08 UTC; anderson_henrique
Author: Anderson Henrique [aut, cre]
Maintainer: Anderson Henrique <anderson.henrique@usp.br>
Repository: CRAN
Date/Publication: 2026-08-07 15:10:02 UTC

More information about acR at CRAN
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New package upsetly with initial version 0.1.1
Package: upsetly
Title: Interactive UpSet Plots Using 'plotly'
Version: 0.1.1
Description: Creates interactive UpSet-style visualizations for exploring intersections among multiple sets, following the layout of Lex et al. (2014) <doi:10.1109/TVCG.2014.2346248>. 'plotly' widgets combine set-size bars, intersection-size bars, and membership matrices, and can synchronize complete intersection details with an HTML element for copying in 'Quarto', 'R Markdown', and 'Shiny' documents.
URL: https://github.com/Rbunensi/upsetly, https://rbunensi.github.io/upsetly/
BugReports: https://github.com/Rbunensi/upsetly/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: htmltools, htmlwidgets, jsonlite, plotly
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-29 04:28:13 UTC; CodexSandboxOffline
Author: Anbunensi [aut, cre]
Maintainer: Anbunensi <an.bunengsi@qq.com>
Repository: CRAN
Date/Publication: 2026-08-07 10:40:02 UTC

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New package SMOARIMA with initial version 0.1.1
Package: SMOARIMA
Title: Automatic ARIMA Order Selection Using Spider Monkey Optimization
Version: 0.1.1
Maintainer: Mrinmoy Ray <mrinmoy4848@gmail.com>
Depends: R (>= 4.0.0)
Imports: forecast, stats
Description: Implements automatic autoregressive integrated moving average order selection using the Spider Monkey Optimization algorithm. Candidate orders are evaluated using a weighted objective function that combines the Akaike information criterion and root mean square error. Functions support model fitting, forecasting, and forecast accuracy evaluation.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-29 06:24:30 UTC; majum
Author: Santosha Rathod [aut], Mrinmoy Ray [aut, cre], Chiranjit Mazumder [aut], Vishnu Shankar [aut], Fasila K. P. [aut], Sujith Arokiaswamy B. [aut], Anil Kumar [aut]
Repository: CRAN
Date/Publication: 2026-08-07 10:40:12 UTC

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New package SemiParamBernsteinDepCS with initial version 0.1.0
Package: SemiParamBernsteinDepCS
Title: Semiparametric Bayesian Regression for Dependent Current Status Data
Version: 0.1.0
Description: Implements a semiparametric Bayesian regression framework using Bernstein polynomial baseline models for analyzing dependent current status data. The package accommodates proportional hazards (PH) and proportional odds (PO) regression models with Archimedean copulas ('Gumbel', 'Frank', and 'Clayton') to model the joint dependence structure between event and observation or censoring times. Estimation is performed using a Robust Adaptive Metropolis (RAM) Markov Chain Monte Carlo ('MCMC') algorithm. Model comparison metrics including Deviance Information Criterion ('DIC') and posterior summaries with Highest Posterior Density ('HPD') intervals and Kendall's tau are provided. Methodological details are described in Sharma and Balakrishnan (2026) <doi:10.1080/02664763.2026.2701921>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: stats, graphics
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-29 15:09:12 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-07 10:40:07 UTC

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New package libcmaesr with initial version 0.1.0
Package: libcmaesr
Title: R Interface to 'libcmaes'
Version: 0.1.0
Copyright: See the file COPYRIGHTS for details on the bundled 'libcmaes' copyrights
Description: A lightweight interface to the 'libcmaes' C++ library for the Covariance Matrix Adaptation Evolution Strategy (CMA-ES). CMA-ES is a state-of-the-art evolutionary algorithm for the optimization of difficult non-linear, non-convex black-box functions, as described in Hansen and Ostermeier (2001) <doi:10.1162/106365601750190398>. Supports the active, separable, and VD (diagonal plus rank-one covariance) variants of the algorithm as well as the IPOP (increasing population size) and BIPOP (bi-population) restart strategies. A patched copy of 'libcmaes' (LGPL >= 3) is bundled; see the COPYRIGHTS file for details.
License: LGPL (>= 3)
URL: https://libcmaesr.mlr-org.com, https://github.com/mlr-org/libcmaesr
BugReports: https://github.com/mlr-org/libcmaesr/issues
Depends: R (>= 4.2.0)
Imports: checkmate, mlr3misc, stats
LinkingTo: RcppEigen
Suggests: testthat (>= 3.0.0), callr
Encoding: UTF-8
Language: en-US
NeedsCompilation: yes
Packaged: 2026-07-29 07:47:25 UTC; marc
Author: Marc Becker [aut, cre, cph] , Bernd Bischl [aut] , Martin Binder [aut], Lars Kotthoff [aut], Emmanuel Benazera [ctb, cph] , Inria [cph]
Maintainer: Marc Becker <marcbecker@posteo.de>
Repository: CRAN
Date/Publication: 2026-08-07 10:30:02 UTC

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New package ExactTree with initial version 0.1.1
Package: ExactTree
Title: Exact Tree
Version: 0.1.1
Maintainer: Juan Claramunt Gonzalez <j.claramunt.gonzalez@fsw.leidenuniv.nl>
Description: Grows optimally global trees based on the algorithm defined in "An exact dynamic programming algorithm for regression and classification trees" (2011). It is possible to obtain both classification and regression trees depending on the measurement level of the outcome variable. The algorithm is based on the dynamic programming principle and guarantees that the resulting tree is optimal with respect to the chosen impurity measure. The package also includes a function to visualize the resulting trees, a function that summarizes the tree with its splitting information and leaf information, and a predict function that provides estimates for a new dataset given a model fit.
Depends: R (>= 3.0.2), partykit, pracma, stats, grid, utils, graphics, formula.tools
Imports: gridtext, DescTools, methods, rpart
License: GPL-3
Encoding: UTF-8
Author: Juan Claramunt Gonzalez [aut, cre, cph], Bart Jan van Os [aut], Elise Dusseldorp [aut]
NeedsCompilation: yes
Packaged: 2026-07-29 12:23:52 UTC; jclaramunt
Repository: CRAN
Date/Publication: 2026-08-07 10:30:14 UTC

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New package climateBR with initial version 0.1.0
Package: climateBR
Title: Download Rainfall, Temperature, and Wind Data from Brazil
Version: 0.1.0
Description: Provides functions to download and import meteorological data from Brazil's National Institute of Meteorology (INMET) <https://portal.inmet.gov.br>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Imports: glue, arrow, dplyr, tidyr, janitor, data.table
Suggests: knitr, rmarkdown, ggplot2, patchwork, geobr
Depends: R (>= 4.1.0), rlang, sf, gstat
VignetteBuilder: knitr
URL: https://github.com/kaiorb52/climateBR
BugReports: https://github.com/kaiorb52/climateBR/issues
NeedsCompilation: no
Packaged: 2026-07-29 13:40:00 UTC; kaio
Author: Kaio Barbara [aut, cre, cph]
Maintainer: Kaio Barbara <kaio.rbarbara@ufpe.br>
Repository: CRAN
Date/Publication: 2026-08-07 10:30:08 UTC

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Thu, 06 Aug 2026

New package WFC with initial version 2.0.1
Package: WFC
Title: Workflow-Oriented Survey Weight Calibration
Version: 2.0.1
Author: Kunxiang Ma [aut, cre], WEIAN DATA TECH Co., Ltd. [cph, fnd]
Maintainer: Kunxiang Ma <makunxiang@weiandata.com>
Description: Provides a disciplined precheck, execution, and diagnostics workflow for survey weighting and raking. Weight construction requires design-only data, a verified external target, outcome-blind planning, and human approval before weight locking, with bilingual reports for decision and statistical audiences. Converts calibrated and replicate weights into standard survey designs, provides optional broom-style result projections, and records serializable production pipeline provenance. Supports fixed, predeclared soft calibration tolerances and categorical entropy balancing from verified margins, plus panel attrition weighting, high-influence unit diagnostics, Fay's balanced repeated replication, and opt-in parallel execution for long runs. Calibration methods follow Deville and Saerndal (1992) <doi:10.1080/01621459.1992.10475217>, and entropy balancing follows Hainmueller (2012) <doi:10.1093/pan/mpr025>.
License: GPL (>= 2)
Copyright: See file inst/COPYRIGHTS.
URL: https://github.com/weiandata/WFC
BugReports: https://github.com/weiandata/WFC/issues
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: digest, parallel, stats, utils
LazyData: true
Suggests: cli, covr, generics, knitr, openxlsx, rmarkdown, survey, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-28 21:39:56 UTC; makunxiang
Repository: CRAN
Date/Publication: 2026-08-06 13:50:06 UTC

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New package UniLindleyApprox with initial version 0.1.0
Package: UniLindleyApprox
Title: Bayesian Point Estimation Using Lindley's Approximation Under Censoring Schemes
Version: 0.1.0
Description: Performs Bayesian point estimation using Lindley's Approximation (1980) <doi:10.1111/j.2517-6161.1980.tb01102.x> for arbitrary univariate probability distributions under numerous censoring and truncation schemes. Users supply the probability density function (PDF), cumulative distribution function (CDF), survival function, log-prior density, initial parameter vector, support bounds, and observed data; the package automatically computes Bayesian point estimates under various loss functions using Lindley's approximation. Supported schemes include complete data, right censoring, left censoring, interval censoring, random censoring, block random censoring, Type-I censoring, Type-II censoring, progressive Type-II censoring, progressive first failure censoring, joint Type-I censoring, joint Type-II censoring, balanced joint progressive Type-II censoring, hybrid censoring, hybrid Type-I censoring, hybrid Type-II censoring, Type-I hybrid censoring, Type-II progressively hybrid censoring, [...truncated...]
License: GPL-3
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices, utils, methods, numDeriv, MASS
Suggests: testthat (>= 3.0.0), ggplot2, future, parallel, knitr, rmarkdown
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-29 00:54:59 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 13:50:13 UTC

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New package tinyroxygen with initial version 0.1
Package: tinyroxygen
Title: A Tiny 'Roxygen'-Style Documentation Generator
Version: 0.1
Description: A minimalistic, dependency-free alternative to 'roxygen2'. Reads '#'' comment blocks above R functions and objects and turns them into '.Rd' documentation files and a 'NAMESPACE' file. 'tinyroxygen' is to 'roxygen2' what 'tinytest' is to 'testthat', a lightweight alternative built with base R only, with no recursive dependencies to install. 'Roxygen' stands for R documentation inspired by the 'Doxygen' for 'C++' documentation tools.
License: Apache License 2.0
Depends: R (>= 4.1.0)
Encoding: UTF-8
NeedsCompilation: yes
Copyright: See file LICENSE.note for the license of the bundled 'cmark' library used for Markdown support.
Packaged: 2026-07-28 14:00:43 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 13:20:02 UTC

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New package TH with initial version 1.0.0
Package: TH
Title: Educational Hypothesis Tests in R
Version: 1.0.0
Description: Provides educational implementations of one- and two-sample Z tests, Student and Welch t tests, a paired t test, an F test for two variances, and Pearson chi-square tests for goodness of fit, independence, and homogeneity. Functions validate mutually exclusive raw-data and summary-statistics interfaces, return structured htest-compatible results, and optionally display step-by-step graphical explanations.
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
Imports: graphics, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-29 00:31:13 UTC; wsbar
Author: Willian Silva Barros [aut, cre, cph]
Maintainer: Willian Silva Barros <willian.barros@ufpel.edu.br>
Repository: CRAN
Date/Publication: 2026-08-06 13:50:20 UTC

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New package tejoR with initial version 0.2.2
Package: tejoR
Title: Statistical Harmonization of Territorial Series Across Changing Geographies
Version: 0.2.2
Description: Builds, validates, seals and applies weighting matrices ('crosswalks') to carry statistical series across changing zoning systems, such as the transition from the 112 Unidades de Planeamiento Zonal (UPZ) to the 33 Unidades de Planeamiento Local (UPL) in Bogota (Decree 555 of 2021). Implements the 'tejo-crosswalk/0.2' specification shared with the 'Python' package 'tejo': 'sha256'-sealed artifacts, non-negative weights that sum to one for each source unit, dasymetric weighting with vector ancillary data via 'sf', rates that are never interpolated directly, and missing values that propagate instead of being silently imputed. Methods: Tobler (1979) <doi:10.1080/01621459.1979.10481647>; Mennis (2003) <doi:10.1111/0033-0124.10042>. Descripcion en espanol: construye, valida, sella y aplica matrices de ponderadores ('crosswalks') para trasladar series estadisticas entre mallas geograficas que cambian, como la transicion de UPZ a UPL en Bogota (Decreto 555 de 2021): integridad por [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/adriGr52/tejoR
BugReports: https://github.com/adriGr52/tejoR/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: sf, jsonlite, digest, stats, utils
Suggests: testthat
NeedsCompilation: no
Packaged: 2026-07-17 15:22:12 UTC; root
Author: Luz Adriana Gutierrez Rodriguez [aut, cre]
Maintainer: Luz Adriana Gutierrez Rodriguez <adrig63@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 13:50:02 UTC

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New package tanner with initial version 1.8.0
Package: tanner
Title: Puberty Stage Line Diagrams and SDS for Tanner Pubertal Stages
Version: 1.8.0
Date: 2026-07-18
Description: Plots Tanner pubertal stage measurements (genital, pubic hair, testicular volume, breast, menarche) against Dutch 1997 growth-study references as stage line diagrams, and converts observed stages to age-conditional standard deviation scores (SDS). Testicular volume can be entered as a raw orchidometer reading in ml. Implements the method of van Buuren and Ooms (2009) <doi:10.1002/sim.3567>.
License: MIT + file LICENSE
URL: https://github.com/growthcharts/tanner, https://growthcharts.org/tanner/
BugReports: https://github.com/growthcharts/tanner/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: haven
LazyData: true
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-28 20:39:47 UTC; buurensv
Author: Stef van Buuren [aut, cre], Jeroen Ooms [aut]
Maintainer: Stef van Buuren <stef.vanbuuren@tno.nl>
Repository: CRAN
Date/Publication: 2026-08-06 13:10:02 UTC

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New package qtsa with initial version 0.1.1
Package: qtsa
Title: Quantum Time Series Analysis: Drift, Noise Spectroscopy and Calibration Forecasting
Version: 0.1.1
Author: Leila Marvian Mashhad [aut, cre]
Maintainer: Leila Marvian Mashhad <leila.marveian@gmail.com>
Description: Tools for exploratory statistical analysis of quantum-hardware calibration time series. The package provides simulators for random telegraph noise (RTN), power-law noise, and Ornstein-Uhlenbeck dephasing; Welch and sine-multitaper power spectral density estimators; a lightweight two-state hidden Markov model for switching signals; cumulative sum (CUSUM) and binary-segmentation diagnostics for calibration drift; residual-quantile interval forecasts; and filter-function calculations for illustrative coherence curves. The package includes a reproducible generator of simulated superconducting-qubit calibration records; it does not retrieve authenticated live provider data. Methodological background is provided by Welch (1967) <doi:10.1109/TAU.1967.1161901>, Thomson (1982) <doi:10.1109/PROC.1982.12433>, Rabiner (1989) <doi:10.1109/5.18626>, Page (1954) <doi:10.1093/biomet/41.1-2.100>, Paladino et al. (2014) <doi:10.1103/RevModPhys.86.361>, and Cywinski et al. ( [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, graphics, utils
NeedsCompilation: no
Packaged: 2026-07-28 17:03:42 UTC; user
Repository: CRAN
Date/Publication: 2026-08-06 13:10:09 UTC

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New package PsyMetricTools with initial version 1.2.2
Package: PsyMetricTools
Version: 1.2.2
Title: Psychometric and Statistical Analysis Tools
Description: Provides tools for psychometric and statistical analysis in social sciences, including functions for data preprocessing, factor analysis, reliability testing, descriptive statistics, visualization of Likert-scale items, measurement invariance analysis, and handling of multi-class imbalance. Facilitates advanced data analysis tasks commonly encountered in psychological and educational research. Includes an updated easy_invariance() function for ordinal data following Wu and Estabrook (2016) <doi:10.1037/met0000051>.
License: GPL (>= 3)
URL: https://github.com/jventural/PsyMetricTools
BugReports: https://github.com/jventural/PsyMetricTools/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: lavaan, semTools, psych, dplyr, tidyr, ggplot2, purrr, tibble, stringr, gridExtra, gtable, grid, pbapply, tidyselect, rlang, grDevices, scales, stats, utils
Suggests: testthat (>= 3.0.0), EGAnet, bootnet, future, future.apply, progressr, progress, careless, qgraph, semPlot, ggridges, ggpubr, forcats, RColorBrewer, openxlsx, lavaan.mi, blavaan, HDInterval, ggplotify, patchwork, wesanderson, circlize
NeedsCompilation: no
Packaged: 2026-07-28 17:49:55 UTC; PC
Author: Jose Ventura-Leon [aut, cre]
Maintainer: Jose Ventura-Leon <jventuraleon@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 13:10:21 UTC

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New package paintr with initial version 0.0.1
Package: paintr
Title: Create Graphics of 'R' Data Structures
Version: 0.0.1
Description: Draws teaching diagrams of the contents of common 'R' data structures (vectors, matrices, data frames, lists, and arrays) so their shape and values can be read at a glance. Two backends render the same picture, with base 'R' graphics through the paint_*() functions and 'ggplot2' through the gpaint_*() functions. The label under each cell is the expression you would type to reach that cell, so every diagram doubles as a lesson in how to subset and index the object it draws.
URL: https://github.com/coatless-rpkg/paintr, https://r-pkg.thecoatlessprofessor.com/paintr/
BugReports: https://github.com/coatless-rpkg/paintr/issues
Depends: R (>= 4.2.0)
License: GPL (>= 2)
Encoding: UTF-8
Imports: graphics, grDevices, grid
Suggests: downlit, evaluate, ggplot2, knitr, quarto, svglite, testthat (>= 3.0.0), withr
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2026-07-28 17:50:25 UTC; ronin
Author: James Joseph Balamuta [aut, cre, cph]
Maintainer: James Joseph Balamuta <james.balamuta@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 13:10:14 UTC

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New package mochita with initial version 1.0.0
Package: mochita
Title: Test R Web Applications
Version: 1.0.0
Description: Write so-called 'Integration Tests' for your R web applications by declaring an HTTP request and the expectations its response should meet.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httpuv, nanonext (>= 1.10.1), R6, testthat (>= 3.0.0)
Suggests: routing, yyjsonr
URL: https://github.com/JulioCollazos64/mochita
BugReports: https://github.com/JulioCollazos64/mochita/issues
NeedsCompilation: no
Packaged: 2026-07-29 04:03:52 UTC; julio
Author: Julio Collazos [aut, cre], supertest contributors [ctb, cph]
Maintainer: Julio Collazos <amarullazo626@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 13:40:02 UTC

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New package logtree with initial version 0.1.0
Package: logtree
Title: Tree-Style Console Logger for Nested Processes
Version: 0.1.0
Description: Render nested process execution as a live, colored tree in the console, with tree connectors, status glyphs, and elapsed time per step. Nesting depth is tracked via frame exit handlers so it never desynchronizes, even when a step errors. Builds on the 'cli' package for console rendering.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: cli, rlang, withr
Suggests: covr, jsonlite, knitr, logger, pkgdown, rmarkdown, testthat (>= 3.1.4)
VignetteBuilder: knitr
URL: https://github.com/IvanSortino/logtree, https://ivansortino.github.io/logtree/
BugReports: https://github.com/IvanSortino/logtree/issues
NeedsCompilation: no
Packaged: 2026-07-28 22:10:36 UTC; sortino
Author: Ivan Sortino [aut, cre, cph]
Maintainer: Ivan Sortino <ivan.sortino97@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 13:40:08 UTC

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New package IntervalCensoredMultistateR2 with initial version 1.0.0
Package: IntervalCensoredMultistateR2
Title: Regression Analysis in Interval-Censored Multistate Models
Version: 1.0.0
Date: 2026-07-28
Author: Lu You [aut, cre]
Maintainer: Lu You <lu.you@epi.usf.edu>
Description: Estimates regression coefficients in proportional hazards models for interval-censored multistate data. Individuals may be observed at irregular times and their states may be partially observed. Allowable transitions and transition-specific covariate effects can be specified. The numerical estimation is implemented in 'C++' using 'RcppArmadillo'. The method implemented in this package is described in You, Liu, and Krischer (2024) <doi:10.1002/sim.10079>.
License: GPL-3
Imports: Rcpp (>= 1.0.11)
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.6.0)
Suggests: testthat (>= 3.0.0)
LazyData: true
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-07-28 17:53:24 UTC; youl
Repository: CRAN
Date/Publication: 2026-08-06 13:10:28 UTC

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New package fitdistrBayes with initial version 0.2.0
Package: fitdistrBayes
Title: Objective Bayesian Distribution Fitting
Version: 0.2.0
Description: Fits common univariate distributions using registered objective Bayesian priors, including Jeffreys, reference, and maximal data information priors. Model-specific posterior propriety and moment conditions are checked before computation. Exact simulation, marginalization, slice sampling, and adaptive Metropolis algorithms are selected from posterior structure, with a common interface for summaries, diagnostics, prediction, and pointwise log-likelihood evaluation. The reference-prior framework follows Bernardo (1979) <doi:10.1111/j.2517-6161.1979.tb01066.x>.
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Suggests: posterior
NeedsCompilation: no
Packaged: 2026-07-29 01:29:34 UTC; pedro
Author: Pedro Luiz Ramos [aut, cre, cph]
Maintainer: Pedro Luiz Ramos <pedro.ramos@uc.cl>
Repository: CRAN
Date/Publication: 2026-08-06 13:40:14 UTC

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New package BayesSplineUR with initial version 0.1.0
Package: BayesSplineUR
Title: Bayesian Unit Root Test for AR(1) Model with Trend Approximated by Linear Spline Function
Version: 0.1.0
Description: Performs Bayesian unit root testing for autoregressive time series models with non-linear trend components approximated by linear spline functions, as proposed by Kumar et al. (2020) <doi:10.19139/soic-2310-5070-786>. The package 'BayesSplineUR' computes posterior odds ratios, Bayes factors, and posterior probabilities for the unit root hypothesis against trend-stationary alternatives in models with linear spline trends or maintained polynomial trends as developed by Chaturvedi and Kumar (2005) <doi:10.1016/j.spl.2005.04.044>. Includes automatic knot selection using information criteria (AIC/BIC) and theoretical foundations for Bayesian unit root testing under structural breaks and maintained trends drawing from Schotman and van Dijk (1991) <doi:10.1016/0304-4076(91)90038-F>, Phillips and Perron (1988) <doi:10.1093/biomet/75.2.335>, Ouliaris et al. (1988) <doi:10.1007/978-94-009-2953-1_10>, and Perron (1989) <doi:10.2307/1913683>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: stats, graphics
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-29 01:06:10 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 13:30:02 UTC

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New package BayesPanelUR with initial version 0.1.0
Package: BayesPanelUR
Title: Bayesian Unit Root Test for Panel Data Models
Version: 0.1.0
Description: Implements the Bayesian unit root test for Panel Autoregressive (PAR) time series models developed by Kumar et al. (2016) <https://hdl.handle.net/10419/179393>. The package evaluates the unit root hypothesis (difference stationarity versus trend stationarity) in panel data using the Posterior Odds Ratio (POR). It accommodates PAR models with linear time trend as well as linear time trend with augmentation terms of arbitrary order. Full posterior probabilities, Bayes factors, and individual panel estimates are computed automatically.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-29 02:15:59 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 13:30:07 UTC

More information about BayesPanelUR at CRAN
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New package sappviz with initial version 1.0.16
Package: sappviz
Title: Sector-Adjusted Points Plot for Feature Dominance
Version: 1.0.16
Description: Visualizes feature influence by projecting data into 2D via PCA and adjusting points toward sector centers weighted by importances. Supports linear models and optionally tree-based models via SHAP values from the 'fastshap' package. For tree-based models, please install 'fastshap' manually from the CRAN archive: <https://cran.r-project.org/src/contrib/Archive/fastshap/>.
License: MIT + file LICENSE
URL: <https://github.com/FaresAminu/sappviz>
BugReports: https://github.com/FaresAminu/sappviz/issues
Imports: ggplot2 (>= 3.4.0), ggrepel (>= 0.9.0), stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, randomForest, MASS, fastshap
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-28 10:53:22 UTC; Click Computers
Author: Mohamed Amine FARES [aut, cre]
Maintainer: Mohamed Amine FARES <fares.mohamedamin@esas-eloued.dz>
Repository: CRAN
Date/Publication: 2026-08-06 12:50:02 UTC

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New package NSTempRFA with initial version 0.2.0
Package: NSTempRFA
Title: Adapts the Regional Frequency Analysis to Air Temperature
Version: 0.2.0
Description: Adapts the index-flood technique to extreme air temperature data. The package uses the additive approach proposed in Martins et al. (2022) <doi:10.1590/1678-4499.20220061> and adapt it to climate change conditions through the use of nonstationary parametric distributions.
License: MIT + file LICENSE
URL: https://github.com/gabrielblain/NSTempRFA
BugReports: https://github.com/gabrielblain/NSTempRFA/issues
Depends: R (>= 3.5)
Imports: extRemes, ismev, lmom, lmomRFA, MASS, Matrix, rrcov, spsUtil, stats, utils
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-28 11:05:50 UTC; gabrielblain
Author: Gabriel Constantino Blain [aut, cre] , Graciela R. Sobierajski [aut] , Leticia L. Martins [aut] , Adam H. Sparks [aut]
Maintainer: Gabriel Constantino Blain <gabriel.blain@sp.gov.br>
Repository: CRAN
Date/Publication: 2026-08-06 12:50:06 UTC

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New package glcdp with initial version 1.0.0
Package: glcdp
Title: Discover, Access, and Import Global Light Commons Data Packages
Version: 1.0.0
Description: Discovers Global Light Commons data packages through their registry, opens immutable passing revisions, and provides searchable inventories of package metadata. Selected metadata and measurement files can be downloaded or imported with metadata-defined columns, types, factor levels, date-time values, and time zones. 'Git Large File Storage' objects are resolved without requiring an external 'Git LFS' installation, and imported file groups can be explicitly collected into data suitable for personal light exposure analysis workflows. An included 'shiny' application supports interactive discovery, inspection, selection, preview, and reproducible handoff to 'R'.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, digest, dplyr, httr2, jsonlite, lubridate, readr, tibble
Suggests: bslib (>= 0.6.0), knitr, rmarkdown, shiny (>= 1.7.2), testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://tscnlab.github.io/glc-dp-r/, https://github.com/tscnlab/glc-dp-r
BugReports: https://github.com/tscnlab/glc-dp-r/issues
NeedsCompilation: no
Packaged: 2026-07-28 18:47:37 UTC; zauner
Author: Johannes Zauner [aut, cre, cph] , Salma M. Thalji [aut, cph] , Manuel Spitschan [aut, cph]
Maintainer: Johannes Zauner <johannes.zauner@tum.de>
Repository: CRAN
Date/Publication: 2026-08-06 13:00:02 UTC

More information about glcdp at CRAN
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New package DataAudit with initial version 0.1.0
Package: DataAudit
Title: Comprehensive Data Quality Auditing and Validation
Version: 0.1.0
Description: Provides tools for systematic assessment, validation, and reporting of data quality. The package detects common data-quality problems including missing or blank values, duplicate observations, infinite values, constant and near-zero variance variables, outliers, invalid ranges and categories, type and pattern violations, problematic dates and identifiers, sequence errors, dependency violations, and cross-variable inconsistencies. It also supports reusable validation rules, integrated audit reports, and standardized data-quality scoring for reproducible data-quality assessment workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
URL: https://github.com/vinodhpmd/DataAudit
BugReports: https://github.com/vinodhpmd/DataAudit/issues
NeedsCompilation: no
Packaged: 2026-07-28 12:21:45 UTC; m
Author: Vinodh Kumar Obli Rajendran [aut, cre] , Keerthi Aaradhana [aut]
Maintainer: Vinodh Kumar Obli Rajendran <vinodhkumar.rajendran@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 12:40:02 UTC

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New package BCodifSIS with initial version 0.3.2
Package: BCodifSIS
Title: Ball-Codifference Sure Independence Screening
Version: 0.3.2
Description: Computes Ball-codifference scores and performs sure independence screening for high-dimensional predictors. The score combines random-ball empirical probabilities with a bounded local codifference weight based on trigonometric characteristic-function contrasts. The functions are intended for marginal screening when moment-based dependence summaries may be unstable or undefined, such as in heavy-tailed data. The implemented methodology is described in Rezapour and Maroufy (2026) "Ball-Codifference Screening for Heavy-Tailed Predictors" <doi:10.48550/arXiv.2607.20821>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
NeedsCompilation: yes
SystemRequirements: C99
URL: https://arxiv.org/abs/2607.20821
Packaged: 2026-07-28 20:12:54 UTC; mrezapou
Author: Mohsen Rezapour [aut, cre]
Maintainer: Mohsen Rezapour <mohsenrzp@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 13:00:08 UTC

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New package UniIS with initial version 0.1.0
Package: UniIS
Title: Importance Sampling Inference for Censored Univariate Data
Version: 0.1.0
Description: Distribution-independent framework for importance-sampling inference with univariate observations subject to censoring or truncation. Users provide probability functions and a proposal over model parameters. Constructs observed-data likelihood contributions, computes numerically stable importance weights, and supplies posterior, likelihood, predictive, diagnostic, and model-comparison summaries. Covers complete, right, left, interval, Type-I, Type-II, progressive Type-II, first-failure, progressive first-failure, doubly Type-II, middle-censored, and left/right-truncated data. Methods for importance sampling and censoring schemes are described in Geweke (1989) <doi:10.2307/2290062>, Hesterberg (1995) <doi:10.1080/00031305.1995.10476138>, Robert and Casella (2004, ISBN:978-0-387-21617-1), Kundu and Joarder (2006) <doi:10.1016/j.csda.2005.05.002>, Banerjee and Kundu (2008) <doi:10.1109/TR.2008.916890>, Iyer, Jammalamadaka, and Kundu (2008) <doi:10.1016/j.jspi.20 [...truncated...]
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-28 16:14:41 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 10:10:02 UTC

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New package RGDrivers with initial version 0.1.0
Package: RGDrivers
Title: Analysis of Stream Network Topology and Order
Version: 0.1.0
Description: Provides tools for analyzing stream networks, including graph construction, calculation of Link Magnitude, D-LINK, and export of spatial data. The Link Magnitude (Shreve stream order) method follows Shreve (1966) <doi:10.1086/627137>. The D-LINK metric follows Osborne & Wiley (1992) <doi:10.1139/f92-076>.
License: MIT + file LICENSE
URL: https://github.com/diogosbr/RGDrivers
BugReports: https://github.com/diogosbr/RGDrivers/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: terra, igraph, dplyr, sf, rlang
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-28 16:59:35 UTC; diogo
Author: Diogo S. B. Rocha [aut, cre], Renata T. Capellao [aut]
Maintainer: Diogo S. B. Rocha <diogosbr@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 10:20:02 UTC

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New package LRErdd with initial version 0.1.0
Package: LRErdd
Title: Regression Discontinuity Designs as Local Randomized Experiments
Version: 0.1.0
Description: A set of functions for the design and analysis of Regression Discontinuity Designs as local randomized experiments within the potential outcome approach as formalized in Li, Mattei and Mealli (2015) <doi:10.1214/15-AOAS809>. A subset of functions implements the design phase of the study, where the focus is on the selection of suitable subpopulations for which valid causal inference can be drawn. These functions provide summary statistics of pre- and post-treatment variables by treatment status and select suitable subpopulations around the threshold where pre-treatment variables are well balanced between treatment groups, using randomization-based tests with adjustment for multiplicities. Functions for a visual inspection of the results are also provided. Finally, the package includes a set of functions for drawing inference on causal effects for the selected subpopulations using randomization-based modes of inference. Specifically, the Fisher Exact p-value and Neyman approaches a [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: ggplot2, cowplot, gtools, R6, shiny, stats
Suggests: knitr, rmarkdown, bslib, shinycssloaders, DT, openxlsx, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-19 18:13:46 UTC; root
Author: Ibon Tamayo [aut, cre], Alessandra Mattei [aut], Fabrizia Mealli [aut], Marie-Abele Bind [aut]
Maintainer: Ibon Tamayo <itamuria@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 10:20:08 UTC

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New package BDPTobitQR with initial version 0.1.0
Package: BDPTobitQR
Title: Bayesian Double-Penalty Tobit Quantile Regression for Longitudinal Interval-Censored Data
Version: 0.1.0
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Description: Implements Bayesian Double-Penalty Tobit Quantile Regression methods for longitudinal interval-censored data as proposed by Zhao et al. (2024) <doi:10.3390/math12121782>. Supports Bayesian Tobit quantile regression with double adaptive Lasso penalty ('PDAL-BTQR'), double Lasso penalty ('PDL-BTQR'), and unpenalized mixed-effects ('P-BTQR'). Handles left, right, interval, and bilateral censoring schemes in longitudinal and clustered structures. Includes Gibbs sampling algorithms, parameter estimation, standard error computation, posterior credible intervals, forecast predictions, DIC, LPML, and diagnostic plotting. References: Tobin (1958) <doi:10.2307/1907382>; Koenker and Bassett (1978) <doi:10.2307/1913643>; Zou (2006) <doi:10.1198/016214506000000735>; Alhamzawi and Yu (2012) <doi:10.1016/j.csda.2011.11.018>; Zhao et al. (2024) <doi:10.3390/math12121782>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-28 02:54:12 UTC; shikhar tyagi
Repository: CRAN
Date/Publication: 2026-08-06 07:00:08 UTC

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New package BayesURTrend with initial version 0.1.0
Package: BayesURTrend
Title: Bayesian Unit Root Test for Model with Maintained Trend
Version: 0.1.0
Description: Performs Bayesian unit root testing for time series models with maintained polynomial trend components as proposed by Chaturvedi and Kumar (2005) <doi:10.1016/j.spl.2005.04.044>. The package 'BayesURTrend' computes posterior odds ratios, Bayes factors, and posterior probabilities for unit root hypotheses against stationary alternatives in autoregressive models augmented with polynomial trends. Methodological foundations for Bayesian unit root testing under structural breaks and maintained trends are drawn from Schotman and van Dijk (1991) <doi:10.1016/0304-4076(91)90038-F>, Phillips and Perron (1988) <doi:10.1093/biomet/75.2.335>, and Ouliaris et al. (1988) <doi:10.1007/978-94-009-2953-1_10>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: stats, graphics
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-28 03:12:30 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 07:00:02 UTC

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Wed, 05 Aug 2026

New package syncons with initial version 0.1.1
Package: syncons
Title: Efficient and Low-Cost Construction of Synthetic Communities
Version: 0.1.1
Description: Provides functions and a Shiny application to design plate layouts for constructing synthetic communities (SynComs) from a pool of strains using 24-, 96- and 384-well microplates. The method generates all possible strain combinations in a scalable, low-cost workflow suitable for high-throughput experiments. Reference: Tian et al. (2024) <doi:10.21769/BioProtoc.2405576>.
URL: https://github.com/gaospecial/syncons, https://doi.org/10.21769/BioProtoc.2405576, https://bio-spring.shinyapps.io/SynComsConstructor/
BugReports: https://github.com/gaospecial/syncons/issues
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, DT, glue, purrr, shiny, stringr, tibble, tidyr, utils
NeedsCompilation: no
Packaged: 2026-07-28 00:22:32 UTC; gaoch
Author: Chun-Hui Gao [aut, cre]
Maintainer: Chun-Hui Gao <gaospecial@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-08-05 17:30:02 UTC

More information about syncons at CRAN
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New package persuasio with initial version 0.1.0
Package: persuasio
Title: Causal Inference on Persuasion Effects
Version: 0.1.0
Description: Provides estimation and inference methods for causal persuasion rates in the potential-outcomes framework of Jun and Lee (2023, Journal of Political Economy) <doi:10.1086/724114>. The package computes bounds and confidence intervals for average and local persuasion rates under data scenarios with binary outcomes, treatments, and instruments, and also when only the outcome and instrument are observed. It also provides functions for calculating bounds from summary statistics.
License: GPL (>= 3)
URL: https://github.com/persuasio/persuasio-r, https://github.com/persuasio/persuasio-stata
BugReports: https://github.com/persuasio/persuasio-r/issues
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: stats
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-28 00:04:08 UTC; sokbaelee
Author: Xinrui Chen [aut], Sung Jae Jun [aut], Sokbae Lee [aut, cre]
Maintainer: Sokbae Lee <sl3841@columbia.edu>
Repository: CRAN
Date/Publication: 2026-08-05 17:30:08 UTC

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New package lonelyr with initial version 0.1.0
Package: lonelyr
Title: Scoring for Common Loneliness Scales
Version: 0.1.0
Description: Scoring functions for widely used loneliness measures, with response keys and reverse-scoring drawn from the original scale manuals. Covers the UCLA Loneliness Scale Version 3 and its three-item short form, the de Jong Gierveld 11- and 6-item scales, the Children's Loneliness and Social Dissatisfaction Scale, and the short Social and Emotional Loneliness Scale for Adults. Out-of-range responses raise a warning, and missing-data rules follow each scale's manual.
License: CC0
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
URL: https://github.com/nsbyrd/lonelyr
BugReports: https://github.com/nsbyrd/lonelyr/issues
NeedsCompilation: no
Packaged: 2026-07-27 23:44:51 UTC; NatalieByrd
Author: Natalie Byrd [aut, cre]
Maintainer: Natalie Byrd <nsb5522@psu.edu>
Repository: CRAN
Date/Publication: 2026-08-05 17:20:02 UTC

More information about lonelyr at CRAN
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New package actinet with initial version 0.2.0
Package: actinet
Title: Estimate Human Activity from 'Accelerometry' Data
Version: 0.2.0
Description: Interfaces the 'actinet' Python module <https://github.com/OxWearables/actinet> for an activity classification model based on self-supervised learning for wrist-worn accelerometer data.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: assertthat, curl, magrittr, readr, reticulate (>= 1.42.0)
Suggests: tidyr, dplyr, ggplot2, testthat (>= 3.0.0)
Language: en-US
URL: https://github.com/jhuwit/actinet
BugReports: https://github.com/jhuwit/actinet/issues
NeedsCompilation: no
Packaged: 2026-07-28 01:03:00 UTC; johnmuschelli
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 17:50:02 UTC

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New package epibyhand with initial version 0.1.0
Package: epibyhand
Title: Worked Derivations for Classical Epidemiological Measures
Version: 0.1.0
Description: Computes classical epidemiological measures and returns the complete worked derivation alongside the result: every intermediate quantity, the formula, and the formula with the observed numbers substituted in. Intended for teaching, for checking hand calculations, and for generating worked solutions in course materials. Scope is deliberately limited to methods a student can compute by hand on paper. Methods follow Mantel and Haenszel (1959) <doi:10.1093/jnci/22.4.719>, Greenland and Robins (1985, Biometrics 41, 55-68), Robins, Breslow and Greenland (1986, Biometrics 42, 311-323), and Breslow and Day (1980, IARC Scientific Publications No. 32).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.0.0)
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/rajsubediresearch/epibyhand
BugReports: https://github.com/rajsubediresearch/epibyhand/issues
NeedsCompilation: no
Packaged: 2026-07-27 18:40:05 UTC; razsu
Author: Raj Subedi [aut, cre]
Maintainer: Raj Subedi <rajsubediresearch@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 10:10:02 UTC

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New package trialSizing with initial version 0.1.0
Package: trialSizing
Title: Tools for Experimental Design Sizing
Version: 0.1.0
Description: Sizes field experiments from uniformity-trial data, following the relationship between the coefficient of variation and plot size. Checks a trial for the spatial structure the sizing methods assume (semivariogram, Moran's I, kriged field map), summarises the coefficient of variation over every plot shape the grid admits, and estimates the optimal plot size by the modified maximum curvature method of Meier and Lessman (1971), by the linear response plateau (LRP) and quadratic response plateau (QRP) models, and by the closed form of Paranaiba, Ferreira and Morais (2009), which can be compared side by side. From the coefficient of variation at the optimum it derives the number of replications needed to detect a given difference between treatment means, as in Cargnelutti Filho and others (2014). Every method returns standardised diagnostic statistics, optional bootstrap uncertainty for the breakpoint, and publication-style plots.
License: GPL (>= 3)
URL: https://willyanjnr.github.io/trialSizing/, https://github.com/willyanjnr/trialSizing
BugReports: https://github.com/willyanjnr/trialSizing/issues
Encoding: UTF-8
Language: en
LazyData: true
Depends: R (>= 3.5)
Imports: ggplot2, stats, utils
Suggests: knitr, rmarkdown, patchwork, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-27 18:04:14 UTC; Bandeira
Author: Willyan Bandeira [aut, cre] , Leonardo Pradebon [aut] , Ivan Carvalho [aut] , Murilo Loro [aut]
Maintainer: Willyan Bandeira <bandeira.wjab@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 09:30:02 UTC

More information about trialSizing at CRAN
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New package predHCS with initial version 0.1.0
Package: predHCS
Title: Point and Interval Prediction for Censored Data under Various Hybrid Censoring Schemes
Version: 0.1.0
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Description: Implements generalized statistical point prediction and prediction intervals for future failure times under various hybrid censoring schemes. Supported censoring schemes include Type-I, Type-II, Generalized Type-I, Generalized Type-II, Unified, Progressive Type-I, and Progressive Type-II hybrid censoring schemes. Available prediction methods include Best Unbiased Predictor (BUP), Conditional Median Predictor (CMP), Maximum Likelihood Predictor (MLP), equal-tailed classical prediction intervals, Highest Conditional Density (HCD) prediction intervals, and Bayesian prediction intervals. Algorithms accept user-defined continuous probability density functions, cumulative distribution functions, quantile functions, or survival functions along with estimated parameter values. Methodological foundations are based on Balakrishnan, Cramer, and Kundu (2023, ISBN:978-0123983879), Shafay and Balakrishnan (2012) <doi:10.1080/03610918.2011.579367> for Type-I hybrid censoring, Balakrishnan and S [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0)
ByteCompile: true
NeedsCompilation: no
Packaged: 2026-07-27 16:10:11 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Repository: CRAN
Date/Publication: 2026-08-05 09:20:09 UTC

More information about predHCS at CRAN
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New package oddsapiio with initial version 0.1.1
Package: oddsapiio
Title: Client for the 'Odds-API.io' Sports Betting Odds API
Version: 0.1.1
Description: Query live and upcoming sports betting odds from the 'Odds-API.io' REST API <https://docs.odds-api.io>. Covers sports, bookmakers, leagues, events, per-event odds, value bets and arbitrage bets across 265+ bookmakers, returned as tidy data frames. An API key is required; a free tier is available.
License: MIT + file LICENSE
URL: https://odds-api.io, https://github.com/odds-api-io/odds-api-r
BugReports: https://github.com/odds-api-io/odds-api-r/issues
Encoding: UTF-8
Imports: httr2 (>= 1.0.0), jsonlite
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-27 16:06:20 UTC; markusbjermeland
Author: Markus Bjermeland [aut, cre]
Maintainer: Markus Bjermeland <markus@odds-api.io>
Repository: CRAN
Date/Publication: 2026-08-05 09:20:13 UTC

More information about oddsapiio at CRAN
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New package needenv with initial version 0.1.0
Package: needenv
Title: Validate Required Environment Variables with Defaults
Version: 0.1.0
Description: Validates that required environment variables are set and non-empty before environment-dependent code runs. Variables may have call-site defaults, and all unresolved variables are reported together. Successful values are returned as a named list without reading environment files or modifying the process environment.
URL: https://github.com/cole-brokamp/needenv
BugReports: https://github.com/cole-brokamp/needenv/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-27 17:42:38 UTC; cole
Author: Cole Brokamp [aut, cre]
Maintainer: Cole Brokamp <cole@colebrokamp.com>
Repository: CRAN
Date/Publication: 2026-08-05 09:20:18 UTC

More information about needenv at CRAN
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New package CLDedgelister with initial version 1.0.2
Package: CLDedgelister
Title: Import System-Dynamics Models and Convert Them to Edge Lists
Version: 1.0.2
Description: Imports causal and system-dynamics models from 'Vensim', 'Stella' / 'iThink' and 'Powersim Studio' ('XMILE'), 'AnyLogic' and 'GoldSim' (exported 'XML'), and converts them into a two-column edge list of cause-to-effect links. 'Vensim' models are read from their native diagram files; 'Powersim Studio' and 'GoldSim' are read from their exported 'XMILE' or 'XML'. Provides an 'RStudio' add-in with a simple point-and-click interface, together with command-line functions that return a data frame or write it to 'CSV' or 'Excel'.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: xml2, tools, utils, stats
Suggests: shiny, miniUI, rstudioapi, writexl, DT, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-27 18:04:19 UTC; princ
Author: Taddias Prince Mpofu [aut, cre], Joel Runyu [aut]
Maintainer: Taddias Prince Mpofu <princetaddy@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 09:10:08 UTC

More information about CLDedgelister at CRAN
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New package BayesQRCount with initial version 0.1.0
Package: BayesQRCount
Title: Adaptive Bayesian Quantile Regression for Count Data
Version: 0.1.0
Description: Implements Bayesian quantile regression for count data using the jittering technique for discrete data smoothing and an asymmetric Laplace distribution likelihood. Supports adaptive variable selection via a random-bridge penalty with a beta prior on the power parameter, as well as fixed-bridge and Lasso penalties. Utilizes Markov chain Monte Carlo with Gibbs sampling and adaptive Metropolis-Hastings algorithms for posterior inference, provides Gelman-Rubin convergence diagnostics, and predicts conditional quantiles for count responses. Methodology and applications are based on the following key references: Luo, Zhou, Hu, and Li (2026, Journal of Mathematics, 2026:1543166, <doi:10.1155/jom/1543166>), Koenker and Bassett (1978, Econometrica, 46, 33-50, <doi:10.2307/1913643>), Machado and Santos Silva (2005, Journal of the American Statistical Association, 100, 1226-1237, <doi:10.1198/016214505000000330>), Yu and Moyeed (2001, Statistics and Probability Letters, 54, 437- [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-27 18:42:36 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 09:30:08 UTC

More information about BayesQRCount at CRAN
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New package psreplicate with initial version 0.1.0
Package: psreplicate
Title: Access the Political Science Replication Index from R
Version: 0.1.0
Description: Search and browse the Political Science Replication Index (<https://jsakowuah.github.io/polisci-replication/>), a searchable, tagged index of replication packages crawled monthly from flagship political science journals' Harvard Dataverse collections, without leaving R. Provides functions to download and cache the index locally and to search and filter it by journal, method, data type, and year.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: jsonlite, tibble, tools, utils
Suggests: dataverse, knitr, rmarkdown, testthat (>= 3.1.4)
VignetteBuilder: knitr
URL: https://github.com/jsakowuah/psreplicate, https://jsakowuah.github.io/polisci-replication/
BugReports: https://github.com/jsakowuah/psreplicate/issues
NeedsCompilation: no
Packaged: 2026-07-27 03:39:10 UTC; josep
Author: Joseph Akowuah [aut, cre, cph]
Maintainer: Joseph Akowuah <siawjoe@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 08:30:02 UTC

More information about psreplicate at CRAN
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New package linf with initial version 0.1.0
Package: linf
Title: L-Infinity Normalization and Dominant Community State Types
Version: 0.1.0
Author: Pawel Gajer [aut, cre]
Maintainer: Pawel Gajer <pgajer@gmail.com>
Description: Implements L-infinity normalization for compositional matrices, assigns samples to dominant features, constructs truncated and hierarchically refined dominant community state types, and computes representative landmark profiles. The methods are described in the accompanying publication <doi:10.48550/arXiv.2503.21543>. Bundled vaginal and gut microbiome data support reproducible demonstrations of the package interface; phenotype fields in the stratified gut subset are illustrative and are not suitable for population-level inference.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.0)
Imports: Matrix, methods
Suggests: testthat (>= 3.2.0), htmltools, knitr, plotly, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/pgajer/linf, https://arxiv.org/abs/2503.21543
BugReports: https://github.com/pgajer/linf/issues
NeedsCompilation: no
Packaged: 2026-07-26 21:51:49 UTC; pgajer
Repository: CRAN
Date/Publication: 2026-08-05 08:40:02 UTC

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New package grip with initial version 0.1.2
Package: grip
Title: Graph Drawing with Intelligent Placement (GRIP)
Version: 0.1.2
Description: Implements the GRIP multiscale graph layout workflow for ordinary graphs and a geometry-aware weighted GRIP workflow for weighted graphs in 2D and 3D. Provides layout scoring, candidate comparison, multiscale trace diagnostics, synthetic graph families, and advanced experimental geodesic-KK utilities for weighted-layout evaluation and polish. Based on Gajer and Kobourov (2002) <doi:10.7155/jgaa.00052> and Gajer, Goodrich and Kobourov (2004) <doi:10.1016/j.comgeo.2004.03.014>.
License: GPL (>= 3)
URL: https://pgajer.github.io/grip/, https://github.com/pgajer/grip
BugReports: https://github.com/pgajer/grip/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp
Suggests: bslib, DT, FNN, geometry, igraph, htmltools, htmlwidgets, knitr, later, rmarkdown, rgl, shiny, testthat (>= 3.0.0)
LinkingTo: Rcpp
SystemRequirements: C++17
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-26 23:10:55 UTC; pgajer
Author: Pawel Gajer [aut, cre]
Maintainer: Pawel Gajer <pgajer@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 08:20:16 UTC

More information about grip at CRAN
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New package EWAScaller with initial version 0.1.0
Package: EWAScaller
Title: Query and Analyse the 'EWAS Atlas' Database
Version: 0.1.0
Description: Provides a client for the 'EWAS Atlas' web services (<https://ngdc.cncb.ac.cn/ewas/>; Li et al. (2019) <doi:10.1093/nar/gky1027>), allowing users to query epigenome-wide association study (EWAS) data by CpG (cytosine-phosphate-guanine) probe identifier, gene symbol, or genomic region, and to run trait, Gene Ontology, KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway, and genomic location enrichment analyses on a set of CpG probes. Query functions support concurrent, rate-limited requests to the remote service. Results are returned as tidy data frames with dedicated summary and plotting methods, including word clouds of enriched 'EWAS Atlas' trait terms.
License: MIT + file LICENSE
URL: https://github.com/SAADAT-Abu/EWAScaller
BugReports: https://github.com/SAADAT-Abu/EWAScaller/issues
Depends: R (>= 4.1.0)
Imports: httr, jsonlite, digest, parallel, ggplot2, ggwordcloud, stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-27 09:13:18 UTC; saadat
Author: Saadat Abu [aut, cre]
Maintainer: Saadat Abu <saadatabu1996@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 08:40:09 UTC

More information about EWAScaller at CRAN
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New package bufferscape with initial version 1.0.3
Package: bufferscape
Title: Distance-Weighted Landscape Composition in Buffers Around Point Locations
Version: 1.0.3
Description: Characterises the environment surrounding point locations by computing land-cover composition within circular buffers directly from vector polygons, without conversion to a raster grid. For each site and each class it returns the exact surface area inside the buffer and a distance-decay weighted "effective" area in which the kernel is integrated over polygon geometry rather than evaluated at the polygon centroid, avoiding the large bias the centroid approximation introduces for elongated features passing close to the site. Polygons may overlap, so class areas are not constrained to sum to the buffer area. Intended for buffer-based exposure assessment and fine-scale spatial epidemiology, where the relevant scale is tens of metres and global land-cover products are too coarse: land-use regression around air-quality monitors, green space around residential addresses, vector-surveillance traps, and comparable designs. The classification dictionary is user-supplied, and point features and d [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: sf (>= 1.0.0), dplyr, tidyr, stringr, purrr, tibble, grDevices, stats, utils, tools
Suggests: ggplot2, writexl, readxl, terra, maptiles, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/mplanta-lab/bufferscape
BugReports: https://github.com/mplanta-lab/bufferscape/issues
NeedsCompilation: no
Packaged: 2026-07-26 19:13:30 UTC; root
Author: Michele Planta [aut, cre]
Maintainer: Michele Planta <micheleplanta@outlook.it>
Repository: CRAN
Date/Publication: 2026-08-05 08:10:02 UTC

More information about bufferscape at CRAN
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New package rpanelauto with initial version 1.0.0
Package: rpanelauto
Title: Perform Automatic Estimation on Time Series in Multidimensional Panels
Version: 1.0.0
Description: Provides a framework for automatic estimation of time-series models for univariate and multidimensional panel data. A user-supplied estimation function is applied independently to each time series, with optional processing before and after estimation. The function returns the transformed data together with the fitted models.
Language: en-US
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.3)
Suggests: forecast, testthat (>= 3.0.0)
URL: https://github.com/econcz/rpanelauto
BugReports: https://github.com/econcz/rpanelauto/issues
NeedsCompilation: no
Packaged: 2026-07-25 21:59:32 UTC; ilyabolotov
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>
Repository: CRAN
Date/Publication: 2026-08-05 07:10:02 UTC

More information about rpanelauto at CRAN
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New package orbis with initial version 0.1.0
Package: orbis
Title: Interactive and High-Resolution Layered Graphics with Built-in World Maps
Version: 0.1.0
Description: A layered grammar of graphics that compiles plots to a resolution-independent scene description and renders it through two back-ends: a self-contained SVG writer with embedded 'JavaScript' for interactive figures (tooltips, hover highlighting, zoom, pan and legend toggling) and R's own graphics devices for publication-quality output at any resolution. Geographic layers are first class: a simplified world polygon dataset ships with the package and can be drawn with several map projections, including Robinson, Equal Earth and an orthographic globe. The layered grammar follows Wickham (2010) <doi:10.1198/jcgs.2009.07098>; projections follow Snyder (1987) <doi:10.3133/pp1395> and, for Equal Earth, Savric, Patterson and Jenny (2019) <doi:10.1080/13658816.2018.1504949>; line simplification uses Douglas and Peucker (1973) <doi:10.3138/FM57-6770-U75U-7727>; the default colour scales follow the guidance on perceptually uniform palettes of Crameri, Shephard and Heron (202 [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: grDevices, grid, stats, utils, htmltools
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, spelling
VignetteBuilder: knitr
URL: https://github.com/mqfarooqi1/orbis, https://mqfarooqi1.github.io/orbis/
BugReports: https://github.com/mqfarooqi1/orbis/issues
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-26 11:26:22 UTC; faroo
Author: Muhammad Farooqi [aut, cre]
Maintainer: Muhammad Farooqi <mqfarooqi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 07:40:02 UTC

More information about orbis at CRAN
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New package MYIS with initial version 0.1.0
Package: MYIS
Title: 'Moreau-Yosida' Importance Sampling for Statistical Inference
Version: 0.1.0
Description: Implements 'Moreau-Yosida' Markov chain Monte Carlo ('MCMC') importance sampling for parameter estimation and Bayesian inference under smooth, non-differentiable, or light-tailed target posterior distributions and arbitrary probability models with complete or censored data. Users supply user-defined probability density functions, optional distribution functions, parameter ranges, and observations subject to complete, right, left, interval, Type-I, Type-II, progressive Type-II, first-failure, or truncation schemes. Constructs 'Moreau-Yosida' envelopes, gradient-based proposals ('MALA', 'HMC', or 'RWM'), self-normalized importance weights, batch-means asymptotic variance estimates, and Bayesian marginal quantiles. Methodologies are based on 'Shukla', 'Vats', and 'Chi' (2025) <doi:10.48550/arXiv.2501.02228>, 'Pereyra' (2016) <doi:10.1111/sjos.12208>, 'Durmus' and others (2022) <doi:10.1214/22-EJS2027>, 'Chen' and 'Shao' (1999) <doi:10.1214/ss/1009211804>, 'Roberts' [...truncated...]
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-26 18:27:22 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 07:50:12 UTC

More information about MYIS at CRAN
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New package LugsailGR with initial version 0.1.0
Package: LugsailGR
Title: Generalized Gelman-Rubin Diagnostic and Effective Sample Size for MCMC
Version: 0.1.0
Date: 2026-07-26
Description: Provides generalized univariate and multivariate 'Gelman-Rubin' convergence diagnostics, effective sample size ('ESS') estimates, and principled termination thresholds for Markov chain Monte Carlo ('MCMC') simulations, based on Vats and Knudson (2021) <doi:10.1214/20-STS812>. The package incorporates replicated lugsail batch means variance estimators to construct stable convergence statistics for single and multiple chains. Additionally, it offers comprehensive tools for evaluating 'MCMC' output generated from user-supplied probability density functions ('PDF') or log-likelihoods, including implementations for censored data models under right, left, interval, 'Type-I', 'Type-II', progressive, and hybrid censoring schemes.
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: stats, graphics
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-26 17:38:52 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 07:40:09 UTC

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New package liteformats with initial version 0.1.0
Package: liteformats
Title: Lightweight Output Formats for 'litedown'
Version: 0.1.0
Description: A collection of lightweight, minimalist output formats and templates for 'litedown' by Xie (2026) <doi:10.32614/CRAN.package.litedown>, including resumes, cover letters, and other common document types. Documents are rendered with HTML and CSS and can be printed to PDF with a 'Chromium'-based browser, without requiring 'Pandoc' or a 'LaTeX' installation.
License: MIT + file LICENSE
URL: https://nanx.me/liteformats/, https://github.com/nanxstats/liteformats
BugReports: https://github.com/nanxstats/liteformats/issues
Encoding: UTF-8
Imports: litedown (>= 0.10), xfun (>= 0.60)
Suggests: testit
VignetteBuilder: litedown
SystemRequirements: Chromium, Google Chrome, or Microsoft Edge (for PDF output)
NeedsCompilation: no
Packaged: 2026-07-26 07:48:52 UTC; nanx
Author: Nan Xiao [aut, cre, cph] , Yihui Xie [ctb, cph]
Maintainer: Nan Xiao <me@nanx.me>
Repository: CRAN
Date/Publication: 2026-08-05 07:10:08 UTC

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New package glmbayesCore with initial version 0.5.3
Package: glmbayesCore
Title: Core C++ Sampling Engine for 'glmbayes'
Version: 0.5.3
Date: 2026-07-25
Description: Core C++ engine for 'glmbayes': envelope-based iid linear and generalized linear model samplers, prior-family routing, and optional 'OpenCL' acceleration. Sampling for supported non-conjugate models uses accept-reject methods based on likelihood subgradients as in Nygren and Nygren (2006) <doi:10.1198/016214506000000357>. Intended as a developer backend for the 'glmbayes' formula interface; end users should use 'glmbayes' for modelling with interfaces analogous to 'lm' and 'glm'. Mixed-model engines are planned for a future release.
License: GPL-2
Copyright: see file COPYRIGHTS
URL: https://github.com/knygren/glmbayesCore
BugReports: https://github.com/knygren/glmbayesCore/issues
Imports: stats, Rcpp (>= 1.1.1), RcppParallel, Rdpack (>= 0.11-0), opencltools (>= 0.8.1), nmathopencl
LinkingTo: Rcpp, RcppArmadillo, RcppParallel, opencltools
Depends: MASS, R (>= 3.5.0)
Suggests: glmbayes, coda, bayesrules, bayestestR, LearnBayes, testthat (>= 3.0.0), spelling, knitr, rmarkdown
SystemRequirements: Optional OpenCL support. If available, GPU acceleration will be used; otherwise, computation runs on CPU.
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: yes
Packaged: 2026-07-26 01:55:21 UTC; kjell
Author: Kjell Nygren [aut, cre], The R Core Team [ctb, cph] , The R Foundation [cph] , Ross Ihaka [ctb, cph] , Robert Gentleman [ctb, cph] , Simon Davies [ctb] , Morten Welinder [ctb, cph] , Martin Maechler [ctb] , The Khronos Group Inc [cph] )
Maintainer: Kjell Nygren <kjell.a.nygren@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 07:30:02 UTC

More information about glmbayesCore at CRAN
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New package APD with initial version 1.0.1
Package: APD
Title: Average Proportional Distance
Version: 1.0.1
Description: Estimation of average proportional distance for repeatability of responses in scales items, more other supplemental information.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: spelling, testthat (>= 3.0.0)
Imports: stats, boot, psych
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-26 18:12:29 UTC; C NINJA
Author: Cesar Merino-Soto [aut, cre]
Maintainer: Cesar Merino-Soto <sikayax@yahoo.com.ar>
Repository: CRAN
Date/Publication: 2026-08-05 07:50:17 UTC

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New package agecrypt with initial version 0.1.0
Package: agecrypt
Title: File Encryption with the 'age' Format
Version: 0.1.0
Description: An idiomatic R interface to the 'age' file encryption format (<https://age-encryption.org/v1>), backed by a vendored copy of the 'agec' C implementation (<https://git.sr.ht/~min/agec>). Encrypt and decrypt raw vectors, files, and strings for one or more X25519 recipients or with a passphrase, with optional ASCII armor. Cryptography is vendored and randomness is drawn from the operating system, so the package has no external library dependencies.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: askpass, openssl, testthat (>= 3.0.0), withr
URL: https://github.com/pedrobtz/agecrypt
BugReports: https://github.com/pedrobtz/agecrypt/issues
NeedsCompilation: yes
Packaged: 2026-07-26 20:34:55 UTC; pbtz
Author: Pedro Baltazar [aut, cre, cph], agec authors [ctb, cph]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 08:00:07 UTC

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New package StressCensoR with initial version 0.1.0
Package: StressCensoR
Title: Generalized Stress-Strength Reliability Estimation Under Censoring Schemes
Version: 0.1.0
Description: Generalized framework for data generation, Maximum Likelihood Estimation, and Bayesian estimation of stress-strength reliability R = P(Y < X) for arbitrary continuous distributions under censoring schemes based on Chapter 9 of 'Balakrishnan', 'Cramer', and 'Kundu' (2023) <ISBN:978-0-12-398387-9>. Users provide probability density functions, cumulative distribution functions, survival functions, support bounds, parameter ranges, and sample sizes. Implements data generation under Type-I, Type-II, progressive Type-II, Type-I hybrid, Type-II hybrid, generalized hybrid, progressive hybrid, joint, block random, middle, and truncation censoring schemes, accompanied by diagnostic histograms, dot plots, and autocorrelation plots. Maximum Likelihood Estimation supports optimization routines including 'Newton-Raphson', 'Broyden'-'Fletcher'-'Goldfarb'-'Shanno' ('BFGS'), 'BFGS' in R ('BFGSR'), 'Berndt'-'Hall'-'Hall'-'Hausman' ('BHHH'), Simulated Annealing ('SANN'), Conjugate Gradients ('CG [...truncated...]
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.0.0)
Imports: graphics, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-25 16:47:34 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 06:40:23 UTC

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New package SampleSizeR with initial version 0.1.0
Package: SampleSizeR
Title: Sample Size Calculations for Epidemiological, Clinical, and Diagnostic Studies
Version: 0.1.0
Description: Provides comprehensive methods for sample size determination for epidemiological studies, clinical trials, diagnostic accuracy studies, and diagnostic agreement studies. The package supports prevalence surveys, cluster prevalence studies, unmatched case-control studies, cohort studies, superiority, non-inferiority, and equivalence clinical trials, diagnostic sensitivity, diagnostic specificity, receiver operating characteristic (ROC) area under the curve (AUC), and diagnostic agreement studies. Functions include optional adjustments for finite population correction, design effect, unequal allocation, anticipated response rate, and dropout. Results are returned as standardized 'SampleSizeR' objects with print, summary, plot, and data frame methods.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: stats, ggplot2, rlang
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr
VignetteBuilder: knitr
URL: https://github.com/vinodhpmd/SampleSizeR
BugReports: https://github.com/vinodhpmd/SampleSizeR/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-25 16:22:33 UTC; m
Author: Vinodh Kumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer: Vinodh Kumar Obli Rajendran <vinodhkumar.rajendran@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 06:20:03 UTC

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New package rmoriebricklayer with initial version 0.3.7
Package: rmoriebricklayer
Title: Reproducible Data Capsules with Provenance and Fallback
Version: 0.3.7
Description: Tools for building brick-proof, reproducible, self-contained data capsules. Resolves open-data sources through the Comprehensive Knowledge Archive Network ('CKAN', <https://ckan.org/>) package_show and package_search endpoints, records and verifies provenance with Secure Hash Algorithm 256 ('SHA-256') digests and Internet Archive 'Wayback Machine' (<https://web.archive.org/>) snapshots, validates downloaded data against a pinned schema, and falls back to schema-driven synthetic data when the real source is unreachable. Run records are captured in a manifest plus a plain-language summary so any result can be traced back to its inputs. Also ships a small compiled C core (fast summary statistics and a self-contained 'SHA-256') that sibling packages in the 'rmorie' ecosystem reach through 'LinkingTo' for a single, shared numeric and provenance-hashing backend.
License: AGPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: digest, jsonlite, stats, utils
Suggests: knitr, rmarkdown, stringi, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/rootcoder007/rmorie-bricklayer
BugReports: https://github.com/rootcoder007/rmorie-bricklayer/issues
SystemRequirements: libcurl (deb: libcurl4-openssl-dev, rpm: libcurl-devel)
NeedsCompilation: yes
Packaged: 2026-07-25 20:33:01 UTC; rootcoder
Author: Vansh Singh Ruhela [aut, cre]
Maintainer: Vansh Singh Ruhela <vsruhela@proton.me>
Repository: CRAN
Date/Publication: 2026-08-05 06:40:02 UTC

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New package gmeans with initial version 0.1.0
Package: gmeans
Title: G-means Clustering
Version: 0.1.0
Description: Gaussian-means (G-means) clustering is a clustering algorithm that extends the k-means algorithm by automatically determining the number of clusters.
License: MIT + file LICENSE
URL: https://m-muecke.github.io/gmeans/, https://github.com/m-muecke/gmeans
BugReports: https://github.com/m-muecke/gmeans/issues
Depends: R (>= 4.1.0)
Imports: stats
Suggests: clue, data.table (>= 1.15.0), GGally, ggfortify, ggplot2, knitr, mlr3cluster, mlr3misc, mlr3viz, paradox (>= 0.6.0), R6, rmarkdown, testthat (>= 3.3.0), withr (>= 2.4.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-25 17:58:44 UTC; mmuecke
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 06:40:08 UTC

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New package fracreg with initial version 1.0.1
Version: 1.0.1
Title: Fractional Response Regressions
Package: fracreg
License: GPL-3
Description: Provides routines for the estimation and specification analysis of fractional response models. Includes univariate one-part, two-part, and double-inflated three-part fractional models. Further incorporates estimators for panel data settings and addresses unobserved heterogeneity and endogeneity via correlated random effects and control function approaches. Extends fractional methodology to multivariate data via fractional multinomial logit models and handles high-dimensional multicollinear data via fractional ridge regression. Calculates analytical partial effects across all model types and includes generalised goodness-of-functional-form (GGOFF) and Regression Equation Specification Error Test (RESET) hypothesis tests. Methods are described in Papke and Wooldridge (1996) <doi:10.1002/(SICI)1099-1255(199611)11:6%3C619::AID-JAE418%3E3.0.CO;2-1>, Papke and Wooldridge (2008) <doi:10.1016/j.jeconom.2008.05.009>, Buis (2008) <http://maartenbuis.nl/software/likelihoodFmlogit.p [...truncated...]
Language: en-GB
Date: 2026-07-15
Packaged: 2026-07-25 17:03:01 UTC; macbookpro
NeedsCompilation: no
Repository: CRAN
URL: https://sulmanolieko.github.io/fracreg/
Imports: stats, maxLik, ggplot2, grid, MASS
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Author: Sulman Olieko Owili [aut, cre]
Maintainer: Sulman Olieko Owili <oliekosulman@gmail.com>
Depends: R (>= 3.5.0)
Date/Publication: 2026-08-05 06:40:15 UTC

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New package DendroFlux with initial version 1.0.3
Package: DendroFlux
Date: 2026-07-26
Title: Processing and Analyzing Dendrometer and Sap Flux Data
Version: 1.0.3
Author: Shuo Wen [aut, cre], Xiaoyan Shang [ctb], Wenjian Zhou [ctb], Zhongjie Shi [ths], Xiao Zhang [ths]
Maintainer: Shuo Wen <shuowen@caf.ac.cn>
Description: Data management and cleaning for dendrometer and sap flux data, including gap detection, NA identification, missing value interpolation, and date conversion. The package also calculates multiple growth metrics of tree radial change data, including the cumulative growth over the entire observation period, daily cumulative growth, and growth changes between adjacent time intervals. Various approaches can be applied to calculate the night delta-Tmax required for sap flow (Peters et al., 2018, <doi: 10.1111/nph.15241>) and subsequently estimate sap flow density (Granier, 1987, <doi: 10.1093/treephys/3.4.309>). In addition, it supports the creation of simple time‑series point plots to visually display the dynamic changes in tree growth status or sap flow density during that period.
License: GPL-3
Language: en-US
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: readxl, ggplot2, zoo, forecast, rlang
NeedsCompilation: no
Packaged: 2026-07-26 03:38:11 UTC; shuow
Repository: CRAN
Date/Publication: 2026-08-05 06:50:02 UTC

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New package CompRiskRel with initial version 0.1.0
Package: CompRiskRel
Title: Reliability and Competing Risks Analysis under Hybrid Censoring
Version: 0.1.0
Description: Generalized computational algorithms for competing risks analysis, stress-strength reliability modeling, optimal designs, and reliability acceptance sampling plans under various hybrid censoring schemes. Includes data generation routines, Maximum Likelihood Estimation (MLE) with seven optimization algorithms ('Newton-Raphson', 'BFGS', 'BFGSR', 'BHHH', 'SANN', 'CG', and 'Nelder-Mead'), Bayesian inference via Gibbs sampling and Metropolis-Hastings MCMC, Importance Sampling, and 'Lindley' asymptotic approximation. Visualization functions generate histograms, dot plots, and autocorrelation plots for model validation. Methodology and design principles are based on 'Balakrishnan', 'Cramer', and 'Kundu' (2023, "Hybrid Censoring Know-How: Designs and Implementations", Academic Press, ISBN:978-0-12-398387-9).
License: GPL-3
Encoding: UTF-8
Imports: stats, graphics
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-25 17:29:46 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 06:30:11 UTC

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New package cmrdesign with initial version 0.1.0
Package: cmrdesign
Title: Conditional Minimax Regret Design Rules
Version: 0.1.0
Description: Implements Conditional Minimax Regret design rules for pilot-informed experimental assignment, as proposed in Yamin (2026) <doi:10.48550/arXiv.2607.16982>. Includes two-arm, unbounded two-arm, multi-arm, stratified, multiple-outcome, proxy-outcome, and pilot-planning tools. Variance bounds include Maurer and Pontil (2009) <doi:10.48550/arXiv.0907.3740> empirical-Bernstein bounds and exact Bernoulli confidence bounds.
License: MIT + file LICENSE
URL: https://juancyamin.github.io/cmrdesign/, https://github.com/juancyamin/cmrdesign, https://arxiv.org/abs/2607.16982
BugReports: https://github.com/juancyamin/cmrdesign/issues
Depends: R (>= 4.1.0)
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
Imports: stats
Suggests: testthat (>= 3.0.0), jsonlite, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-07-25 17:10:27 UTC; juan
Author: Juan C. Yamin [aut, cre, cph]
Maintainer: Juan C. Yamin <juan_yamin_silva@brown.edu>
Repository: CRAN
Date/Publication: 2026-08-05 06:30:02 UTC

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New package BorderEffect with initial version 0.1.0
Package: BorderEffect
Title: Detection of Edge Effects in Field Trials via Besag-Kempton Competition
Version: 0.1.0
Description: Estimates and evaluates the intraspecific competition coefficient associated with the edge (border) effect in agricultural field trials, using the Besag-Kempton autoregressive model and a least-squares estimator following Darghan, Rivera, Gonzalez and Castellanos (2022) <doi:10.47280/RevFacAgron(LUZ).v39.n1.18>. Provides field-layout generation, spatial weight matrices, a formula interface for arbitrary two-way designs, a simulation-based decision procedure for presence or absence of the edge effect, Moran's I diagnostics, and a 'shiny' application.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, graphics, grDevices
Suggests: shiny, ape, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-25 20:28:53 UTC; serch
Author: Sergio Gamboa [aut, cre, cph] , Aquiles Enrique Darghan Contreras [aut, cph] , Carlos Armando Rivera Moreno [aut, cph] , Nair Jose Gonzalez Sotomayor [aut, cph] , Jose Luis Castellanos Coronel [aut, cph]
Maintainer: Sergio Gamboa <segamboam@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 06:30:16 UTC

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Tue, 04 Aug 2026

New package zmij with initial version 0.1.0
Package: zmij
Title: Round-Trip-Safe Double-Precision Formatting
Version: 0.1.0
Description: Converts double-precision floating-point values to decimal strings with the shortest significands needed for round-trip recovery. Uses the 'zmij' algorithm through a vendored 'Rust' implementation. The method is described in Zverovich (2025), "Faster Double-to-String Conversion" <https://vitaut.net/posts/2025/faster-dtoa/>. Provides vectorized formatting, a correctly rounded inverse parser, and explicit handling of missing and non-finite values.
License: MIT + file LICENSE
Copyright: file inst/COPYRIGHTS
URL: https://nanx.me/zmij/, https://github.com/nanxstats/zmij
BugReports: https://github.com/nanxstats/zmij/issues
Encoding: UTF-8
Depends: R (>= 4.2)
Suggests: testthat (>= 3.0.0)
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.71.0, xz
NeedsCompilation: yes
Packaged: 2026-07-24 04:01:45 UTC; nanx
Author: Nan Xiao [aut, cre, cph] , David Tolnay [ctb, cph] , Victor Zverovich [ctb, cph]
Maintainer: Nan Xiao <me@nanx.me>
Repository: CRAN
Date/Publication: 2026-08-04 16:20:02 UTC

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New package polyglotSQL with initial version 0.1.0
Package: polyglotSQL
Title: SQL Parsing, Analysis and Dialect Translation
Version: 0.1.0
Description: Parse, tokenize, validate, format, analyze and translate SQL between more than 30 dialects ('PostgreSQL', 'MySQL', 'BigQuery', 'Snowflake', 'DuckDB', 'T-SQL', and others) using the 'polyglot-sql' Rust crate <https://github.com/tobilg/polyglot>, a Rust port of the 'SQLGlot' 'Python' library. All processing happens locally in the R session; no database connection, 'Python' runtime or external service is required. Includes column-level lineage, structural query analysis, query optimization, 'AST' diffing and 'OpenLineage' facet generation.
License: MIT + file LICENSE
URL: https://github.com/StrategicProjects/polyglot-sql-r, https://strategicprojects.github.io/polyglot-sql-r/
BugReports: https://github.com/StrategicProjects/polyglot-sql-r/issues
Depends: R (>= 4.2)
Imports: cli, jsonlite
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.88.0, xz
NeedsCompilation: yes
Packaged: 2026-07-21 14:37:59 UTC; leite
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut], Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Tobias Mueller [cph] ), Toby Mao [cph] , The authors of the vendored Rust dependencies [cph]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-08-04 16:20:07 UTC

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New package jiebaRS with initial version 0.2.0
Package: jiebaRS
Title: Chinese Text Segmentation, POS Tagging, and Keyword Extraction
Version: 0.2.0
Description: Provides fast Chinese text segmentation, keyword extraction via 'TF-IDF' and 'TextRank', and part-of-speech tagging, powered by a 'Rust' backend ('jieba-rs'). Supports custom dictionaries, user words, stop words, IDF files, and HMM models, with parallel batch processing of multiple strings. Serves as a modern, maintained replacement for the 'jiebaR' package.
License: MIT + file LICENSE
URL: https://yousa-mirage.github.io/jiebaRS/, https://github.com/Yousa-Mirage/jiebaRS
BugReports: https://github.com/Yousa-Mirage/jiebaRS/issues
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.65.0, xz
Depends: R (>= 4.2)
Imports: cli, rlang
Suggests: pkgdown, rmarkdown, spelling, testthat (>= 3.0.0), withr
Language: en-US
NeedsCompilation: yes
Packaged: 2026-07-21 03:00:53 UTC; Yousa-Mirage
Author: Hao Cheng [aut, cre, cph]
Maintainer: Hao Cheng <Yousa-Mirage@foxmail.com>
Repository: CRAN
Date/Publication: 2026-08-04 16:20:13 UTC

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New package ggpalettes with initial version 0.2.0
Package: ggpalettes
Title: Curated Colour Palettes and Scales for 'ggplot2'
Version: 0.2.0
Description: Provides a broad catalogue of original categorical, sequential, and diverging colour palettes for scientific graphics, together with palette functions, named discrete and continuous colour and fill scales, catalogue plots, and palette diagnostics for 'ggplot2'. Palettes can also be retrieved as hexadecimal colour vectors for use in base graphics and other visualization systems.
License: MIT + file LICENSE
URL: https://yaoxiangli.github.io/ggpalettes/, https://github.com/YaoxiangLi/ggpalettes
BugReports: https://github.com/YaoxiangLi/ggpalettes/issues
Encoding: UTF-8
Imports: ggplot2, grDevices, rlang, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-24 22:33:43 UTC; Li
Author: Yaoxiang Li [aut, cre]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>
Repository: CRAN
Date/Publication: 2026-08-04 16:30:17 UTC

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New package bluertopo with initial version 0.0.1
Package: bluertopo
Title: Download and Extract BlueTopo Bathymetry with Terra
Version: 0.0.1
Description: Discovers, downloads, verifies, and opens bathymetry assets from the National Oceanic and Atmospheric Administration (NOAA) BlueTopo product for user supplied areas of interest. The package keeps source files intact by default, uses 'terra' for spatial data access, supports explicit native-resolution selection policies, and records provenance for reproducible extraction workflows. It accesses the NOAA BlueTopo web service at <https://noaa-ocs-nationalbathymetry-pds.s3.amazonaws.com/> and references product documentation at <https://nauticalcharts.noaa.gov/data/bluetopo.html>.
License: MIT + file LICENSE
URL: https://el-cordero.github.io/bluer-topo/, https://github.com/el-cordero/bluer-topo
BugReports: https://github.com/el-cordero/bluer-topo/issues
Depends: R (>= 4.1), terra
Imports: cli, curl, digest, jsonlite, stats, tools, utils, xml2
Suggests: knitr, lintr, pkgdown, pkgload, rmarkdown, roxygen2, sf, styler, testthat (>= 3.0.0), urlchecker, withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-21 22:41:34 UTC; ec
Author: Elvin Cordero [aut, cre, cph]
Maintainer: Elvin Cordero <elvin.cordero@seamountgeo.com>
Repository: CRAN
Date/Publication: 2026-08-04 16:30:22 UTC

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New package lame with initial version 1.3.4
Package: lame
Title: Longitudinal Additive and Multiplicative Effects Models for Networks
Version: 1.3.4
Description: Additive and multiplicative effects models for both cross-sectional and longitudinal network analysis. The package provides two main functions: ame() for cross-sectional networks and lame() for longitudinal networks. It supports square and rectangular network structures. Key features include: (1) Cross-sectional network analysis via ame() with support for binary, continuous, ordinal, and count data; (2) Longitudinal network analysis via lame() with additive sender/receiver and multiplicative latent-factor effects that can evolve over time through AR(1) processes (Sewell and Chen (2015) <doi:10.1080/01621459.2014.988214>; Durante and Dunson (2014) <doi:10.1093/biomet/asu040>); (3) Handling of changing actor compositions across time periods in longitudinal models; (4) Performance improvements through C++ implementations via 'Rcpp' and 'RcppArmadillo'.
Author: Cassy Dorff [aut], Shahryar Minhas [aut, cre], Tosin Salau [aut]
Maintainer: Shahryar Minhas <minhassh@msu.edu>
License: MIT + file LICENSE
URL: https://netify-dev.github.io/lame/, https://github.com/netify-dev/lame
BugReports: https://github.com/netify-dev/lame/issues
Depends: R (>= 3.5.0)
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, ggplot2, ggrepel, ggforce, gridExtra, coda, patchwork, cli, MASS, Matrix, abind, netify (>= 1.5.3), graphics, grDevices, parallel, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), igraph, network, posterior, loo, digest, tibble, broom, generics, pROC, precrec, statmod, dplyr, modelsummary, callr, amen
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-24 16:23:37 UTC; s7m
Repository: CRAN
Date/Publication: 2026-08-04 15:10:03 UTC

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New package PhysMove with initial version 1.2.4
Package: PhysMove
Title: Quantifying Animal Movement and Space-Use Patterns with Statistical Physics
Version: 1.2.4
Date: 2026-07-25
Description: Provides tools to analyse animal movement and space-use patterns from telemetry data using methods derived from statistical physics. Methods span displacement-based approaches, distribution fitting, space-use metrics (including the influence of correlations on space-use), network-based community detection, and measures of entropy and predictability. The package enables characterisation of these patterns across spatial and temporal scales, including variation within and among individuals (inter- and intraspecific analyses). Outputs include interpretable metrics and visualisations to support ecological analysis and the investigation of fundamental movement processes. For applications of these methods in ecological studies see Rodríguez et al. (2017) <doi:10.1038/s41598-017-00165-0> and Sequeira et al. (2018) <doi:10.1073/pnas.1716137115>.
License: GPL (>= 3)
URL: https://github.com/HannahCalich/PhysMove
BugReports: https://github.com/HannahCalich/PhysMove/issues
Depends: R (>= 4.4)
Imports: broom (>= 1.0.5), ggplot2 (>= 3.4.2), graphics, grDevices, grid, methods, poweRlaw (>= 1.0.0), RColorBrewer (>= 1.1-3), rlang (>= 1.1.1), rootSolve (>= 1.8.2.3), scales (>= 1.2.1), sf (>= 1.0-16), stats, utils
Suggests: emln (>= 1.0), infomapecology (>= 2.0.0), kableExtra (>= 1.3.4), knitr (>= 1.43), maps (>= 3.4.2), officedown (>= 0.3.0), rmarkdown (>= 2.22), spelling (>= 2.2.1), testthat (>= 3.1.9)
VignetteBuilder: knitr
Additional_repositories: https://HannahCalich.github.io/drat
Encoding: UTF-8
Language: en-US
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2026-07-25 02:15:43 UTC; u1133331
Author: Hannah J. Calich [aut, cre, cph] , Jorge Rodriguez [aut] , Victor Eguiluz [aut] , Ana M. M. Sequeira [aut]
Maintainer: Hannah J. Calich <hannah.calich@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-04 14:10:24 UTC

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New package OutbreakR with initial version 0.1.0
Package: OutbreakR
Title: Epidemiological Tools for Outbreak Investigation and Analysis
Version: 0.1.0
Description: Provides tools for epidemiological analysis of disease outbreaks, including measures of disease frequency, association, impact, transmission, and vaccine effectiveness. Functions support prevalence, incidence, attack rates, mortality, case fatality, risk ratios, odds ratios, rate ratios, attributable measures, reproduction numbers, herd immunity thresholds, contingency tables, grouped analyses, and outbreak line-list validation.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: covr, spelling, testthat (>= 3.0.0)
Language: en-US
URL: https://github.com/vinodhpmd/OutbreakR
BugReports: https://github.com/vinodhpmd/OutbreakR/issues
NeedsCompilation: no
Packaged: 2026-07-25 06:51:43 UTC; m
Author: Vinodhkumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer: Vinodhkumar Obli Rajendran <vinodhkumar.rajendran@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-04 14:10:31 UTC

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New package DOEpro with initial version 2.0.1
Package: DOEpro
Title: Analysis of Designed Agricultural Experiments
Version: 2.0.1
Description: A 'shiny' application and supporting functions for the analysis of designed agricultural experiments, following the procedures set out by Gomez and Gomez (1984, ISBN:9780471870920). Handles completely randomised, randomised complete block, Latin square, factorial (up to four factors), split-plot and strip-plot designs, and pooled (combined) analysis over environments including factorial treatments, after Yates and Cochran (1938) <doi:10.1017/S0021859600050978>; analyses several response variables simultaneously; recommends and applies variance-stabilising transformations using the profile likelihood of Box and Cox (1964) <doi:10.1111/j.2517-6161.1964.tb00553.x>; reports standard errors and critical differences for every legitimate comparison, including the four distinct comparisons of a split plot, the mixed ones using the approximation of Satterthwaite (1946) <doi:10.2307/3002019>; and produces publication-format tables of means, diagnostic plots and a written interp [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: shiny, DT, ggplot2, rlang, stats, utils, graphics, grDevices
Suggests: pagedown, testthat (>= 3.0.0)
URL: https://github.com/Uzairkhan11w/DOEpro, https://doepro.pages.dev
BugReports: https://github.com/Uzairkhan11w/DOEpro/issues
NeedsCompilation: no
Packaged: 2026-07-25 09:54:27 UTC; Uzair
Author: Immad A. Shah [aut] , Uzair Javid Khan [aut, cre] , M. Iqbal Jeelani [aut]
Maintainer: Uzair Javid Khan <uzairkhan11w@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-04 14:10:39 UTC

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New package blockr.session with initial version 0.1.0
Package: blockr.session
Title: Session Management for 'blockr'
Version: 0.1.0
Description: Persist, restore and manage 'blockr' boards from within a running app. Provides a 'manage_project' plugin for 'blockr.core' that replaces the built-in file upload and download interface with storage backed by the 'pins' package. On 'Posit Connect' each visitor reads and writes pins under their own account, with board sharing, visibility controls and version history.
License: GPL (>= 3)
URL: https://bristolmyerssquibb.github.io/blockr.session/, https://github.com/BristolMyersSquibb/blockr.session
BugReports: https://github.com/BristolMyersSquibb/blockr.session/issues
Encoding: UTF-8
Imports: blockr.core (>= 0.1.3), shiny, pins (>= 1.4.0), jsonlite, glue, rlang, bsicons, htmltools, httr2, utils, zip
Suggests: testthat (>= 3.0.0), blockr.dock, connectapi, knitr, rmarkdown, quarto, withr, xml2
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2026-07-25 06:46:31 UTC; coder
Author: Nicolas Bennett [aut, cre], Christoph Sax [aut], Bristol Myers Squibb [fnd]
Maintainer: Nicolas Bennett <nicolas@cynkra.com>
Repository: CRAN
Date/Publication: 2026-08-04 14:10:18 UTC

More information about blockr.session at CRAN
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New package AdaptHyCensor with initial version 0.1.0
Package: AdaptHyCensor
Title: Generalized Inference and Data Generation for Adaptive Progressive Hybrid Censoring Schemes
Version: 0.1.0
Description: Comprehensive computational tools for data generation, statistical inference, and visual diagnostics under Adaptive Type-I and Adaptive Type-II Progressive Hybrid Censoring Schemes. Users can supply custom probability density functions (PDF), cumulative distribution functions (CDF), survival functions, parameter ranges, and progressive schemes for any univariate lifetime distribution. Parameter estimation methods include Maximum Likelihood Estimation (MLE) using multiple optimization algorithms (Newton-Raphson (NR), Broyden-Fletcher-Goldfarb-Shanno (BFGS), BFGS in R (BFGSR), Berndt-Hall-Hall-Hausman (BHHH), Simulated Annealing (SANN), Conjugate Gradients (CG), and Nelder-Mead (NM)), Bayesian estimation via Gibbs and Metropolis-Hastings (M-H) MCMC sampling, Importance Sampling (IS), and Lindley's approximation. Diagnostic tools provide histograms, dot plots, and autocorrelation function (ACF) plots for model validation. Methods are based on Balakrishnan, Cramer, and Kundu (2023, ISBN:97 [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-25 04:31:32 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-04 14:10:45 UTC

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New package rbcmodel with initial version 1.0.1
Package: rbcmodel
Title: Model Rubisco Carboxylation Rate Across Temperature, CO2, and O2
Version: 1.0.1
Description: Collects published kinetics of ribulose 1,5-bisphosphate carboxylase/oxygenase (Rubisco) and uses these kinetics to model the carboxylation rate across CO2 and O2 concentrations and different temperatures. The carboxylation rate can be modeled as the gross rate or the net rate, which takes into account the oxygenase activity of the enzyme using one of the three known phosphoglycolate salvage pathways. Custom enzymes and temperature dependences can be created with user kinetics, or published kinetics can be accessed through a meta-analysis contained within the package. An expansion of methods from Harrison et al. (2025) <doi:10.1128/aem.00604-25>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: plot3D
Depends: R (>= 3.5)
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-24 18:49:58 UTC; kehar
Author: Kaitlin Harrison [aut, cre, cph], Wing-Ho Ko [aut]
Maintainer: Kaitlin Harrison <k.harrison.sci@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-04 13:50:02 UTC

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New package LSJM with initial version 0.1.0
Package: LSJM
Title: Estimate Location-Scale Joint Models
Version: 0.1.0
Description: Estimation of mixed models including a subject-specific variance that can be time- and covariate-dependent or defined for within- and between-visit variability. In the joint modeling framework, the package handles left truncation, interval censoring, and multistate models, and allows a flexible dependence structure between competing events and the longitudinal marker. Estimation is performed in a frequentist framework using the Marquardt-Levenberg algorithm. Methods are described in Courcoul et al. (2025) <doi:10.1002/sim.70244> and in Courcoul et al. (2026) <doi:10.1002/bimj.70123>.
License: GPL (>= 2)
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, marqLevAlg, survival, flexsurv, ggplot2, splines, spacefillr, survminer, foreach, doParallel, SmoothHazard, parallel, mvtnorm, dplyr
Depends: R (>= 3.5.0)
NeedsCompilation: yes
Packaged: 2026-07-24 17:27:14 UTC; courc
Author: Leonie Courcoul [aut, cre], Antoine Barbieri [aut], Helene Jacqmin-Gadda [aut]
Maintainer: Leonie Courcoul <courcoul.leonie498@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-04 13:10:23 UTC

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New package gofPHCS with initial version 0.1.0
Package: gofPHCS
Title: Goodness-of-Fit Tests for Complete, Progressively Type-II, Type-I Hybrid, and Type-II Hybrid Censored Data
Version: 0.1.0
Description: Provides goodness-of-fit tests for lifetime data collected under complete sampling, progressive Type-II censoring, and Type-I/Type-II hybrid censoring schemes. Users supply the observed (censored) data and the assumed probability density/mass function, cumulative distribution function, or survival function of the target model, and the package returns the corresponding test statistic together with an asymptotic or Monte Carlo p-value. Implements the spacings-based exponentiality test of Balakrishnan, Ng and Kannan (2002, in "Goodness-of-Fit Tests and Model Validity", Birkhauser, pp. 89-111) and its location-scale generalization Balakrishnan, Ng and Kannan (2004) <doi:10.1109/TR.2004.833317>, the power comparison and Kaplan-Meier based tests of Doering and Cramer (2019) <doi:10.1080/00949655.2019.1648468>, the Kolmogorov-Smirnov type tests for hybrid censored data of Banerjee and Pradhan (2018) <doi:10.1080/03610926.2016.1205616>, and follows the unified treatment of hy [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: stats, withr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, spelling, covr
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-24 21:00:01 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-04 14:00:02 UTC

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New package compost with initial version 0.2.0
Package: compost
Version: 0.2.0
Title: Video Compositing via 'FFmpeg'
Description: Wraps common 'FFmpeg' <https://ffmpeg.org/> filter_complex patterns (overlay, chromakey, concat, scale, vstack) into clean R functions for video compositing, and lowers an 'OpenTimelineIO' <https://github.com/AcademySoftwareFoundation/OpenTimelineIO> timeline (via the 'rotio' package) to a rendered video.
License: MIT + file LICENSE
URL: https://github.com/cornball-ai/compost
BugReports: https://github.com/cornball-ai/compost/issues
Encoding: UTF-8
SystemRequirements: ffmpeg (>= 5.0)
Imports: rotio
Suggests: tinytest
NeedsCompilation: no
Packaged: 2026-07-24 21:32:46 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-08-04 14:00:08 UTC

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New package CauMedi with initial version 0.1.1
Package: CauMedi
Title: Cell Type-Specific Causal Mediation Models for Single-Cell Data
Version: 0.1.1
Description: A causal mediation framework for cell type-specific single-cell data based on joint mediator multilevel models. The framework jointly models overdispersed counts and zero inflation for the mediators.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: glmnet
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-24 18:25:25 UTC; fuw01
Author: Seungjun Ahn [aut], Donald Porchia [aut], Weijia Fu [cre, aut] , Zhigang Li [ctb]
Maintainer: Weijia Fu <weijia.fu@mountsinai.org>
Repository: CRAN
Date/Publication: 2026-08-04 13:50:12 UTC

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New package asleep with initial version 0.1.0
Package: asleep
Title: Estimate Sleep from 'Accelerometry' Data
Version: 0.1.0
Description: Interfaces the 'asleep' python module <https://github.com/OxWearables/asleep> from Yuan (2024) <doi:10.1038/s41746-024-01148-y> to estimate sleep from 'accelerometry' data.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: assertthat, curl, lubridate, magrittr, readr, reticulate (>= 1.42.0)
Suggests: tidyr, dplyr, ggplot2, testthat (>= 3.0.0)
URL: https://github.com/jhuwit/asleep, https://jhuwit.github.io/asleep/
BugReports: https://github.com/jhuwit/asleep/issues
NeedsCompilation: no
Packaged: 2026-07-24 20:53:38 UTC; johnmuschelli
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-04 13:50:08 UTC

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New package MALDIassist with initial version 1.0.2
Package: MALDIassist
Title: Mathematical Utilities for MALDI-TOF Mass Spectrometry
Version: 1.0.2
Description: Supports matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry workflows from raw Bruker spectra to cohort-level peak matrices. Provides spectrum loading, Savitzky-Golay smoothing, baseline correction (SNIP and TopHat), Gaussian kernel-regression-based peak detection including shoulder peaks, peak-quality assessment, filtering, and cohort feature analysis. Computationally intensive routines are implemented in C++ using 'Rcpp'. The implemented signal-processing methods include those described by Savitzky and Golay (1964) <doi:10.1021/ac60214a047>, Ryan et al. (1988) <doi:10.1016/0168-583X(88)90063-8>, Stanford, Bagley and Solomon (2016) <doi:10.1186/s12953-016-0107-8>, and Nadaraya-Watson kernel regression (Nadaraya (1964) <doi:10.1137/1109020>; Watson (1964) <https://www.jstor.org/stable/25049340>).
License: MIT + file LICENSE
URL: https://github.com/hiows/MALDIassist
BugReports: https://github.com/hiows/MALDIassist/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Rcpp, gtools
LinkingTo: Rcpp
Suggests: colorspace, pheatmap, testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-07-24 12:19:39 UTC; hiows
Author: Wonseok Oh [aut, cre]
Maintainer: Wonseok Oh <hiows97@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-04 10:10:13 UTC

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New package dwg2geo with initial version 0.2.3
Package: dwg2geo
Title: Convert Engineering 'DWG' Drawings to Auditable 'GeoJSON'
Version: 0.2.3
Description: Converts engineering 'DWG' drawings ('AutoCAD' 2013+ format) to 'GeoJSON' entirely in-process, with no 'CAD' software, 'LibreDWG', or 'GDAL' required. Wraps the pure-Rust 'dwg2geo' conversion core <https://github.com/milkway/dwg2geo>: every feature carries resolved 'CAD' style metadata (layer, colour, line weight, text), skipped and failed entities are reported with reasons, and the output is deterministic: the same bytes always produce byte-identical 'GeoJSON'. Coordinates are kept in the drawing's local system; the package never guesses a coordinate reference system.
License: MIT + file LICENSE
URL: https://milkway.github.io/dwg2geo-r/, https://github.com/milkway/dwg2geo-r
BugReports: https://github.com/milkway/dwg2geo-r/issues
Depends: R (>= 4.2)
Imports: cli, jsonlite, rlang, tibble
Suggests: sf, testthat (>= 3.0.0), withr
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc (>= 1.85)
NeedsCompilation: yes
Packaged: 2026-07-24 10:12:04 UTC; leite
Author: Andre Leite [aut, cre]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-08-04 10:10:02 UTC

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New package controlcharts with initial version 0.0.19
Package: controlcharts
Title: Interactive Plotting for Funnel Plots and Statistical Process Control Charts
Version: 0.0.19
Description: Generate fully interactive and dynamic funnel plots and statistical process control ('SPC') charts. All data manipulation, calculation, and plotting is done in 'JavaScript', allowing for completely dynamic charts without the need for a Shiny server. For more details see Spiegelhalter (2004) <doi:10.1002/sim.1970> and Pfadt & Wheeler (1995) <doi:10.1901/jaba.1995.28-349>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: htmlwidgets, htmltools, crosstalk, QuickJSR, jsutils
Suggests: rsvg, knitr, rmarkdown, testthat (>= 3.0.0), chromote, xml2
VignetteBuilder: knitr
URL: https://aus-doh-safety-and-quality.github.io/controlcharts/
NeedsCompilation: no
Packaged: 2026-07-24 10:18:36 UTC; andrew
Author: Andrew R. Johnson [aut, cre] , Healthcare Quality Intelligence Unit [aut]
Maintainer: Andrew R. Johnson <andrew.johnson@arjohnsonau.com>
Repository: CRAN
Date/Publication: 2026-08-04 10:10:07 UTC

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New package SporeLag with initial version 0.1.1
Package: SporeLag
Title: Lagged and Moving-Average Exposure Features for Aeroallergen Epidemiology
Version: 0.1.1
Description: Deterministic, group-safe utilities that transform daily environmental exposure series (pollen and spore counts, with support for other time-varying exposures such as ozone and particulate matter) into analysis-ready lagged and moving-average exposure features. Functions validate temporal regularity, assign ISO 8601 weeks and configurable seasons, impute missing daily values transparently, and construct lagged and windowed exposures suitable for environmental epidemiology and public health analyses.
URL: https://github.com/friveramariani/SporeLag
BugReports: https://github.com/friveramariani/SporeLag/issues
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: dplyr, knitr, lubridate, rmarkdown, spelling, testthat (>= 3.0.0)
Imports: cli, rlang, stats
Depends: R (>= 4.1.0)
LazyData: true
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-24 00:02:53 UTC; felixrivera-mariani
Author: Felix E. Rivera-Mariani [aut, cre]
Maintainer: Felix E. Rivera-Mariani <felixrm@friveram.com>
Repository: CRAN
Date/Publication: 2026-08-04 09:30:02 UTC

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New package rtreeoflife with initial version 0.1.0
Package: rtreeoflife
Title: Access Tree of Life Data Releases
Version: 0.1.0
Description: Search species and specimen records from the Royal Botanic Gardens Tree of Life Explorer and retrieve selected genomic sequence files. Provides a bundled species index, tools for matching scientific names, and selective download helpers for sequence files. Supports tidy data workflows with list-columns, summaries, exploratory visualisation with 'ggplot2', and illustrative tree construction from shared genes.
License: MIT + file LICENSE
URL: https://github.com/PaulESantos/rtreeoflife, https://treeoflife.kew.org/, https://sftp.kew.org/pub/treeoflife/current_release/
BugReports: https://github.com/PaulESantos/rtreeoflife/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr, ggplot2, tibble, tools, utils
Suggests: ape, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2026-07-24 01:29:27 UTC; PC
Author: Paul E. Santos Andrade [aut, cre, cph]
Maintainer: Paul E. Santos Andrade <paulefrens@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-04 09:40:02 UTC

More information about rtreeoflife at CRAN
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