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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

More information about tinycache at CRAN
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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

More information about shinyelectron at CRAN
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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

More information about RougeLM at CRAN
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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

More information about RegCalib at CRAN
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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

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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

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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

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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

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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

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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

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Package sundialr updated to version 0.2.0 with previous version 0.1.7 dated 2026-04-21

Title: An Interface to 'SUNDIALS' Ordinary Differential Equation (ODE) Solvers
Description: Provides a way to call the functions in 'SUNDIALS' C ODE solving library (<https://computing.llnl.gov/projects/sundials>). Currently the serial version of ODE solver, 'CVODE', sensitivity calculator 'CVODES' and differential algebraic solver 'IDA' from the 'SUNDIALS' library are implemented. The package requires ODE to be written as an 'R' or 'Rcpp' function and does not require the 'SUNDIALS' library to be installed on the local machine.
Author: Satyaprakash Nayak [aut, cre, cph] , Lawrence Livermore National Security [cph], Southern Methodist University [cph], University of Maryland Baltimore County [cph]
Maintainer: Satyaprakash Nayak <satyaprakash.nayak@gmail.com>

Diff between sundialr versions 0.1.7 dated 2026-04-21 and 0.2.0 dated 2026-08-07

 sundialr-0.1.7/sundialr/src/sundials-mod-7.6.0.tar.gz                       |only
 sundialr-0.1.7/sundialr/src/utils                                           |only
 sundialr-0.2.0/sundialr/DESCRIPTION                                         |   16 
 sundialr-0.2.0/sundialr/LICENSE                                             |    2 
 sundialr-0.2.0/sundialr/MD5                                                 |  123 +-
 sundialr-0.2.0/sundialr/NEWS.md                                             |   20 
 sundialr-0.2.0/sundialr/R/RcppExports.R                                     |   60 -
 sundialr-0.2.0/sundialr/R/zzz.R                                             |    8 
 sundialr-0.2.0/sundialr/README.md                                           |  138 +-
 sundialr-0.2.0/sundialr/build/vignette.rds                                  |binary
 sundialr-0.2.0/sundialr/configure                                           |   22 
 sundialr-0.2.0/sundialr/configure.ac                                        |    2 
 sundialr-0.2.0/sundialr/inst/COPYRIGHTS                                     |   12 
 sundialr-0.2.0/sundialr/inst/doc/my-vignette.Rmd                            |    4 
 sundialr-0.2.0/sundialr/inst/doc/my-vignette.html                           |   25 
 sundialr-0.2.0/sundialr/inst/examples/cv_Roberts_dns.r                      |   10 
 sundialr-0.2.0/sundialr/inst/examples/cvs_Roberts_dns.r                     |   28 
 sundialr-0.2.0/sundialr/inst/examples/cvsolve_1D.r                          |    7 
 sundialr-0.2.0/sundialr/inst/examples/ida_Roberts_dns.r                     |   70 -
 sundialr-0.2.0/sundialr/inst/include/arkode/arkode.h                        |   63 -
 sundialr-0.2.0/sundialr/inst/include/arkode/arkode_butcher_dirk.h           |    8 
 sundialr-0.2.0/sundialr/inst/include/arkode/arkode_butcher_erk.h            |   10 
 sundialr-0.2.0/sundialr/inst/include/arkode/arkode_lsrkstep.h               |    3 
 sundialr-0.2.0/sundialr/inst/include/arkode/arkode_mristep.h                |    4 
 sundialr-0.2.0/sundialr/inst/include/check_retval.h                         |    7 
 sundialr-0.2.0/sundialr/inst/include/cvode/cvode.h                          |    7 
 sundialr-0.2.0/sundialr/inst/include/cvodes/cvodes.h                        |    7 
 sundialr-0.2.0/sundialr/inst/include/jac_func.h                             |only
 sundialr-0.2.0/sundialr/inst/include/rhs_func.h                             |    4 
 sundialr-0.2.0/sundialr/inst/include/sundialr_capi.h                        |only
 sundialr-0.2.0/sundialr/inst/include/sundials/sundials_config.h             |   46 
 sundialr-0.2.0/sundialr/inst/include/sundials/sundials_domeigestimator.h    |   19 
 sundialr-0.2.0/sundialr/inst/include/sundials/sundials_logger.h             |   38 
 sundialr-0.2.0/sundialr/inst/include/sundials/sundials_nonlinearsolver.h    |   37 
 sundialr-0.2.0/sundialr/inst/include/sundials/sundials_profiler.h           |    6 
 sundialr-0.2.0/sundialr/inst/include/sundials/sundials_profiler.hpp         |    4 
 sundialr-0.2.0/sundialr/inst/include/sundials_err_handler.h                 |   43 
 sundialr-0.2.0/sundialr/inst/include/sundials_err_record.h                  |only
 sundialr-0.2.0/sundialr/inst/include/sundials_scope_guard.h                 |only
 sundialr-0.2.0/sundialr/inst/include/sundomeigest/sundomeigest_power.h      |   31 
 sundialr-0.2.0/sundialr/inst/include/sunnonlinsol/sunnonlinsol_auto.h       |only
 sundialr-0.2.0/sundialr/inst/include/sunnonlinsol/sunnonlinsol_fixedpoint.h |   24 
 sundialr-0.2.0/sundialr/inst/include/sunnonlinsol/sunnonlinsol_newton.h     |   25 
 sundialr-0.2.0/sundialr/man/cvode.Rd                                        |   17 
 sundialr-0.2.0/sundialr/man/cvodes.Rd                                       |   20 
 sundialr-0.2.0/sundialr/man/cvsolve.Rd                                      |   16 
 sundialr-0.2.0/sundialr/man/ida.Rd                                          |   86 +
 sundialr-0.2.0/sundialr/src/Makevars.in                                     |    3 
 sundialr-0.2.0/sundialr/src/RcppExports.cpp                                 |  126 +-
 sundialr-0.2.0/sundialr/src/capi_register.cpp                               |only
 sundialr-0.2.0/sundialr/src/capi_test.cpp                                   |only
 sundialr-0.2.0/sundialr/src/check_retval.cpp                                |   62 -
 sundialr-0.2.0/sundialr/src/cvode.cpp                                       |  112 +
 sundialr-0.2.0/sundialr/src/cvodes.cpp                                      |  269 +++-
 sundialr-0.2.0/sundialr/src/cvsolve.cpp                                     |  562 +++++-----
 sundialr-0.2.0/sundialr/src/ida.cpp                                         |  221 ++-
 sundialr-0.2.0/sundialr/src/rhs_func.cpp                                    |   75 -
 sundialr-0.2.0/sundialr/src/scripts/cran_patches.sh                         |only
 sundialr-0.2.0/sundialr/src/scripts/sundials_download.sh                    |    4 
 sundialr-0.2.0/sundialr/src/sortTimes.cpp                                   |only
 sundialr-0.2.0/sundialr/src/sortTimes.h                                     |only
 sundialr-0.2.0/sundialr/src/sundialr_capi.cpp                               |only
 sundialr-0.2.0/sundialr/src/sundials-mod-7.8.0.tar.gz                       |only
 sundialr-0.2.0/sundialr/tests/testthat/test-callbacks.r                     |only
 sundialr-0.2.0/sundialr/tests/testthat/test-capi.r                          |only
 sundialr-0.2.0/sundialr/tests/testthat/test-cvode.r                         |   74 -
 sundialr-0.2.0/sundialr/tests/testthat/test-cvodes.r                        |   63 +
 sundialr-0.2.0/sundialr/tests/testthat/test-cvsolve.r                       |only
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 sundialr-0.2.0/sundialr/tools/cmake_call.sh                                 |  129 --
 sundialr-0.2.0/sundialr/tools/strip_sundials_tarball.sh                     |only
 sundialr-0.2.0/sundialr/vignettes/my-vignette.Rmd                           |    4 
 72 files changed, 1887 insertions(+), 889 deletions(-)

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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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