Wed, 22 Apr 2026

Package TesiproV updated to version 0.9.6 with previous version 0.9.5 dated 2026-03-24

Title: Reliability Analysis Methods for Structural Engineering
Description: Calculate the failure probability of civil engineering problems with Level I up to Level III Methods. Have fun and enjoy. References: Spaethe (1991, ISBN:3-211-82348-4) "Die Sicherheit tragender Baukonstruktionen", AU,BECK (2001) "Estimation of small failure probabilities in high dimensions by subset simulation." <doi:10.1016/S0266-8920(01)00019-4>, Breitung (1989) "Asymptotic approximations for probability integrals." <doi:10.1016/0266-8920(89)90024-6>.
Author: Konstantin Nille-Hauf [aut], Tania Feiri [aut], Marcus Ricker [aut], Til Lux [aut, cre]
Maintainer: Til Lux <til.lux@tu-dortmund.de>

Diff between TesiproV versions 0.9.5 dated 2026-03-24 and 0.9.6 dated 2026-04-22

 DESCRIPTION                            |    8 
 MD5                                    |   54 -
 NAMESPACE                              |    4 
 NEWS.md                                |   31 
 R/MCIS_helpers.R                       | 1598 +++++++++++++++++++++++++--------
 R/MC_IS.R                              |   42 
 R/clsModelContainer.R                  |  552 +++++++++--
 R/clsParam.R                           |    5 
 R/helper_debugPrint.R                  |   11 
 R/parallel_helpers.R                   |only
 R/zzz.R                                |   27 
 inst/doc/TesiproV-Vignette.R           |   34 
 inst/doc/TesiproV-Vignette.Rmd         |  130 ++
 inst/doc/TesiproV-Vignette.html        |  518 +++++++---
 inst/extdata                           |only
 man/MC_IS_gsys.Rd                      |only
 man/MC_IS_single.Rd                    |    1 
 man/MC_IS_system.Rd                    |    9 
 man/PARAM_BASEVAR-class.Rd             |    1 
 man/build_gsys.Rd                      |only
 man/create_rng_manager.Rd              |only
 man/debug.print.Rd                     |    1 
 man/init_rng_master.Rd                 |    1 
 man/is_empty.Rd                        |    2 
 man/is_missing.Rd                      |    1 
 man/make_parallel_cluster.Rd           |only
 man/run_parallel.Rd                    |only
 tests/testthat/test_MCIS_system.R      |  903 +++++++++++++++---
 tests/testthat/test_MC_IS_single.R     |only
 tests/testthat/test_Methods_lnorm_x0.R |   24 
 tests/testthat/test_parallel.R         |only
 vignettes/TesiproV-Vignette.Rmd        |  130 ++
 32 files changed, 3237 insertions(+), 850 deletions(-)

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New package spFFBS with initial version 0.0-2
Package: spFFBS
Title: Spatiotemporal Propagation for Multivariate Bayesian Dynamic Learning
Version: 0.0-2
Description: Implementation of the Forward Filtering Backward Sampling (FFBS) algorithm with Dynamic Bayesian Predictive Stacking (DYNBPS) integration for multivariate spatiotemporal models, as introduced in "Adaptive Markovian Spatiotemporal Transfer Learning in Multivariate Bayesian Modeling" (Presicce and Banerjee, 2026+) <doi:10.48550/arXiv.2602.08544>. This methodology enables efficient Bayesian multivariate spatiotemporal modeling, utilizing dynamic predictive stacking to improve inference across multivariate time series of spatial datasets. The core functions leverage 'C++' for high-performance computation, making the framework well-suited for large-scale spatiotemporal data analysis in parallel computing environments.
LinkingTo: Rcpp, RcppArmadillo
Imports: spBPS, Rcpp (>= 1.1.1), foreach, tictoc, abind
Suggests: doParallel, mniw, MBA, ggplot2, patchwork, reshape2, knitr, rmarkdown
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://lucapresicce.github.io/spFFBS/
NeedsCompilation: yes
Packaged: 2026-04-22 11:13:49 UTC; presi
Author: Luca Presicce [aut, cre]
Maintainer: Luca Presicce <l.presicce@campus.unimib.it>
Repository: CRAN
Date/Publication: 2026-04-22 13:50:02 UTC

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New package slxr with initial version 0.1.1
Package: slxr
Title: Spatial-X (SLX) Models for Applied Researchers
Version: 0.1.1
Description: Tools for estimating, interpreting, and visualizing Spatial-X (SLX) regression models. Provides a formula-based interface with first-class support for variable-specific weights matrices, higher-order spatial lags, temporally-lagged spatial variables (TSLS), and tidy effects decomposition (direct, indirect, total). Designed to lower the barrier to SLX modeling for applied researchers who already work with 'sf' and 'lm'-style formulas. Methods follow Wimpy, Whitten, and Williams (2021) <doi:10.1086/710089>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: spdep, sf, Matrix, tibble, stats, generics, rlang
Suggests: ggplot2, modelsummary, broom, knitr, rmarkdown, testthat (>= 3.0.0), dplyr, tidyr, haven
VignetteBuilder: knitr
URL: https://github.com/cwimpy/slxr
BugReports: https://github.com/cwimpy/slxr/issues
NeedsCompilation: no
Packaged: 2026-04-20 21:41:04 UTC; cwimpy
Author: Cameron Wimpy [aut, cre]
Maintainer: Cameron Wimpy <cwimpy@astate.edu>
Repository: CRAN
Date/Publication: 2026-04-22 13:10:02 UTC

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New package scrutr with initial version 0.3.0
Package: scrutr
Title: Scrutinizing Collections of Structured Datasets
Version: 0.3.0
Description: Provides a coherent interface for exploring and transforming multiple related data frames that share a common structure. Complements single-dataset inspection tools by operating across an entire collection at once. Also includes lightweight utilities for related file and folder management tasks.
License: MIT + file LICENSE
URL: https://github.com/danielrak/scrutr
BugReports: https://github.com/danielrak/scrutr/issues
Depends: R (>= 4.1.0)
Imports: dplyr, glue, lubridate, magrittr, purrr, rio, stats, stringr, tibble, tools, utils, writexl
Suggests: knitr, readxl, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-04-22 13:04:15 UTC; rheri
Author: Daniel Rakotomalala [aut, cre]
Maintainer: Daniel Rakotomalala <rakdanielh@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-22 14:00:02 UTC

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New package RobustFlow with initial version 0.1.1
Package: RobustFlow
Title: Robustness and Drift Auditing for Longitudinal Decision Systems
Version: 0.1.1
Description: Provides tools for constructing longitudinal decision paths, quantifying temporal drift, tracking subgroup disparity trajectories, and stress-testing longitudinal conclusions under hidden bias. Implements three signature metrics: the Drift Intensity Index (DII), which measures structural instability in transition dynamics using the Frobenius norm of consecutive transition matrix differences; the Bias Amplification Index (BAI), which quantifies whether group disparities widen or converge over time; and the Temporal Fragility Index (TFI), which estimates the minimum hidden-bias perturbation required to nullify a longitudinal trend conclusion. An interactive 'shiny' application supports exploratory analysis, visualization, and reproducible reporting. Methods are motivated by applications in educational and social science research, including the Early Childhood Longitudinal Study (ECLS). The DII is based on the Frobenius norm as described in Golub and Van Loan (2013, ISBN:9781421407944). T [...truncated...]
Depends: R (>= 4.2.0)
Imports: shiny (>= 1.7.0), golem (>= 0.4.0), bslib (>= 0.5.0), ggplot2 (>= 3.4.0), DT (>= 0.27), plotly (>= 4.10.0), scales (>= 1.2.0), htmltools (>= 0.5.0), rmarkdown (>= 2.20), stats, tools, utils
Suggests: testthat (>= 3.0.0), knitr, covr, withr
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://github.com/causalfragility-lab/RobustFlow
BugReports: https://github.com/causalfragility-lab/RobustFlow/issues
NeedsCompilation: no
Packaged: 2026-04-22 12:44:24 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-04-22 14:00:13 UTC

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New package rCoreGage with initial version 1.0.0
Package: rCoreGage
Title: Data Quality Check Framework for Clinical and Analytical Data
Version: 1.0.0
Description: A configuration-driven framework for running domain-level data quality checks and consolidating findings into structured Excel reports with role-based feedback routing. It supports trial-level and study-level checks across multiple data domains. Reports are routed to separate feedback channels for Data Management (DM), Medical Writing (MW), Study Data Tabulation Model (SDTM) programmers, and Analysis Data Model (ADaM) programmers, as well as other relevant data roles. Reviewer responses are incorporated automatically on re-run.
Depends: R (>= 4.1.0)
License: GPL (>= 3)
Encoding: UTF-8
Imports: readxl (>= 1.4.0), openxlsx (>= 4.2.5), dplyr (>= 1.1.0),
Suggests: haven (>= 2.5.0), testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/ganeshbabuNN/rCoreGage
BugReports: https://github.com/ganeshbabuNN/rCoreGage/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-04-22 08:44:36 UTC; ganes
Author: Ganesh Babu G [aut, cre]
Maintainer: Ganesh Babu G <ganeshbabu346@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-22 13:30:02 UTC

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New package randompack with initial version 0.1.3
Package: randompack
Title: Fast Random Number Generation with Multiple Engines and Distributions
Version: 0.1.3
Author: Kristjan Jonasson [aut, cre]
Maintainer: Kristjan Jonasson <jonasson@hi.is>
Description: Random number generation library implemented in C with multiple engines and distribution functions, providing an R interface focused on correctness, speed, and reproducibility. Supports various PRNGs including xoshiro256++/**, PCG64, Philox, and ChaCha20, with methods for continuous, discrete, and multivariate distributions.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: R6
Suggests: testthat (>= 3.0.0)
URL: https://github.com/jonasson2/randompack
BugReports: https://github.com/jonasson2/randompack/issues
NeedsCompilation: yes
Packaged: 2026-04-22 09:55:36 UTC; jonasson
Repository: CRAN
Date/Publication: 2026-04-22 13:40:02 UTC

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New package OdysseusCharacterizationModule with initial version 0.0.1
Package: OdysseusCharacterizationModule
Title: Handy and Minimalistic Common Data Model Characterization
Version: 0.0.1
Description: Extracts covariates from Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) domains using an R-only pipeline. Supports configurable temporal windows, domain-specific covariates for drug exposure, drug era (including Anatomical Therapeutic Chemical (ATC) groupings), condition occurrence, condition era, concept sets and cohorts. Methods are based on the Observational Health Data Sciences and Informatics (OHDSI) framework described in Hripcsak et al. (2015) <doi:10.1038/sdata.2015.35> and "The Book of OHDSI" OHDSI (2019, ISBN:978-1-7923-0589-8).
License: Apache License (>= 2)
Depends: R (>= 4.1.0)
Imports: checkmate, DatabaseConnector, jsonlite, SqlRender, stats
Suggests: Andromeda, Eunomia, FeatureExtraction, knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-22 07:31:59 UTC; AlexanderAleksiayuk
Author: Alexander Alexeyuk [aut, cre]
Maintainer: Alexander Alexeyuk <alexanderAlexeyuk@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-22 13:20:29 UTC

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New package NRMSampling with initial version 0.2.2
Package: NRMSampling
Title: Sampling Design and Estimation Methods for Natural Resource Management
Version: 0.2.2
Description: Provides functions for probability and non-probability sampling design, sample selection, and population estimation tailored to natural resource management. Probability methods include simple random sampling, stratified sampling, systematic sampling, cluster sampling, and probability-proportional-to-size sampling. Non-probability methods include convenience, judgement-based, and quota sampling. Estimation functions cover means, totals, ratio estimators, regression estimators, and the unequal-probability estimator of Horvitz and Thompson (1952, <doi:10.2307/2280784>) for unequal-probability designs. Utilities support biomass, soil-loss, and carbon-stock estimation from field plots. Spatial extensions provide random, systematic, stratified, and raster-weighted sampling within geographic polygons using the 'sf' and 'terra' packages, with extraction of remote-sensing covariates at sample locations. Applications include forest inventory, soil erosion monitoring, watershed studies, and [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: stats, utils
Suggests: sf (>= 1.0.0), terra (>= 1.7.0), ggplot2 (>= 3.4.0), dplyr (>= 1.1.0), testthat (>= 3.0.0), knitr (>= 1.40), rmarkdown (>= 2.18), covr, spelling
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-04-22 04:35:17 UTC; acer
Author: Sadikul Islam [aut, cre]
Maintainer: Sadikul Islam <sadikul.islamiasri@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-22 13:10:14 UTC

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New package melidosData with initial version 1.0.6
Package: melidosData
Title: Load Data from the MeLiDos Field Study
Version: 1.0.6
Description: In the MeLiDos field study, personal light exposure data were collected in 9 sites, 7 countries, and 196 participants following the Guidolin et al. (2024) <doi:10.1186/s12889-024-20206-4> protocol. Data originate from wearable devices collecting personal light exposure at the eye level, chest, and the wrist. Questionnaires were collected via 'REDCap' and contain demographic information as well as chronotype, current conditions, sleep diaries, wear logs, and many more. This package makes loading the data from the respective repositories (<https://github.com/MeLiDosProject>) into R a breeze. It further contains some quality of life functions for label handling and data from 'REDCap'.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
LazyData: true
Imports: dplyr, hms, lubridate, purrr, rlang, stringr, tibble
Suggests: gt, LightLogR, testthat (>= 3.0.0), vroom
URL: https://melidosproject.github.io/melidosData/, https://github.com/MeLiDosProject/melidosData, https://github.com/MeLiDosProject
BugReports: https://github.com/MeLiDosProject/melidosData/issues
NeedsCompilation: no
Packaged: 2026-04-22 12:38:41 UTC; zauner
Author: Johannes Zauner [aut, cre] , Manuel Spitschan [aut] , European Partnership on Metrology [fnd] has received funding from the European Partnership on Metrology, co-financed by the European Union's Horizon Europe Research and Innovation Programme, EURA [...truncated...]
Maintainer: Johannes Zauner <johannes.zauner@tum.de>
Repository: CRAN
Date/Publication: 2026-04-22 14:00:08 UTC

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New package mdbplyr with initial version 0.3.0
Package: mdbplyr
Title: A Native Lazy Analytical Backend for MongoDB
Version: 0.3.0
Description: Provides a disciplined, lazy subset of 'dplyr' semantics for MongoDB aggregation pipelines. Queries remain lazy until collect() and compile into MongoDB-native aggregation stages.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: cli, dplyr, jsonlite, rlang, tibble
Suggests: knitr, mongolite, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-22 06:55:56 UTC; p4010
Author: Paolo Bosetti [aut, cre]
Maintainer: Paolo Bosetti <paolo.bosetti@unitn.it>
Repository: CRAN
Date/Publication: 2026-04-22 13:20:02 UTC

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New package llmclean with initial version 0.1.0
Package: llmclean
Title: 'LLM'-Assisted Data Cleaning with Multi-Provider Support
Version: 0.1.0
Date: 2026-04-15
Author: Sadikul Islam [aut, cre]
Maintainer: Sadikul Islam <sadikul.islamiasri@gmail.com>
Description: Detects and suggests fixes for semantic inconsistencies in data frames by calling large language models (LLMs) through a unified, provider-agnostic interface. Supported providers include 'OpenAI' ('GPT-4o', 'GPT-4o-mini'), 'Anthropic' ('Claude'), 'Google' ('Gemini'), 'Groq' (free-tier 'LLaMA' and 'Mixtral'), and local 'Ollama' models. The package identifies issues that rule-based tools cannot detect: abbreviation variants, typographic errors, case inconsistencies, and malformed values. Results are returned as tidy data frames with column, row index, detected value, issue type, suggested fix, and confidence score. An offline fallback using statistical and fuzzy-matching methods is provided for use without any API key. Interactive fix application with human review is supported via 'apply_fixes()'. Methods follow de Jonge and van der Loo (2013) <https://cran.r-project.org/doc/contrib/de_Jonge+van_der_Loo-Introduction_to_data_cleaning_with_R.pdf> and Chaudhuri et al. (2003) <doi:1 [...truncated...]
License: GPL-3
Depends: R (>= 4.1.0)
Imports: stats, utils, dplyr (>= 1.0.0), rlang (>= 1.0.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), httr2 (>= 1.0.0), jsonlite (>= 1.8.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-04-22 04:17:03 UTC; acer
Repository: CRAN
Date/Publication: 2026-04-22 13:10:09 UTC

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New package ivcheck with initial version 0.1.1
Package: ivcheck
Title: Tests for Instrumental Variable Validity
Version: 0.1.1
Description: Implements tests for the identifying assumptions of instrumental variable models, the local exclusion restriction and monotonicity conditions required for local average treatment effect identification. Covers Kitagawa (2015) <doi:10.3982/ECTA11974>, Mourifie and Wan (2017) <doi:10.1162/REST_a_00622>, and Frandsen, Lefgren, and Leslie (2023) <doi:10.1257/aer.20201860>. Includes a one-shot wrapper that runs all applicable tests on a fitted instrumental variable model. Dispatches on 'fixest' and 'ivreg' model objects.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: cli (>= 3.6.0), stats, parallel
Suggests: testthat (>= 3.0.0), fixest, ivreg, modelsummary, broom, spelling, knitr, rmarkdown
URL: https://github.com/charlescoverdale/ivcheck
BugReports: https://github.com/charlescoverdale/ivcheck/issues
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-22 06:30:12 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-22 13:20:08 UTC

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New package IOBR with initial version 2.2.0
Package: IOBR
Title: Immune Oncology Biological Research
Version: 2.2.0
Description: Provides six modules for tumor microenvironment (TME) analysis based on multi-omics data. These modules cover data preprocessing, TME estimation, TME infiltrating patterns, cellular interactions, genome and TME interaction, and visualization for TME relevant features, as well as modelling based on key features. It integrates multiple microenvironmental analysis algorithms and signature estimation methods, simplifying the analysis and downstream visualization of the TME. In addition to providing a quick and easy way to construct gene signatures from single-cell RNA-seq data, it also provides a way to construct a reference matrix for TME deconvolution from single-cell RNA-seq data. The analysis pipeline and feature visualization are user-friendly and provide a comprehensive description of the complex TME, offering insights into tumour-immune interactions (Zeng D, et al. (2024) <doi:10.1016/j.crmeth.2024.100910>. Fang Y, et al. (2025) <doi:10.1002/mdr2.70001>).
License: GPL-3
URL: https://doi.org/10.3389/fimmu.2021.687975 (paper), https://iobr.github.io/book/ (docs), https://iobr.github.io/IOBR/
BugReports: https://github.com/IOBR/IOBR/issues
Depends: R (>= 3.6.0)
Imports: cli, dplyr, ggplot2, glmnet, GSVA, methods, purrr, rlang, stringr, survival, survminer, tibble, tidyr
Suggests: BiocParallel, biomaRt, circlize, clusterProfiler, ComplexHeatmap, corrplot, DESeq2, doParallel, DOSE, e1071, easier, enrichplot, factoextra, FactoMineR, foreach, ggdensity, ggpp, ggpubr, ggsci, gridExtra, Hmisc, knitr, limma, limSolve, maftools, MASS, Matrix, msigdbr, NbClust, org.Hs.eg.db, org.Mm.eg.db, patchwork, PMCMRplus, pracma, preprocessCore, prettydoc, pROC, psych, RColorBrewer, reshape2, rmarkdown, ROCR, sampling, scales, Seurat, SeuratObject, sva, testthat (>= 3.0.0), tidyHeatmap, timeROC, webr, WGCNA
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: FALSE
NeedsCompilation: no
Packaged: 2026-04-22 13:01:08 UTC; wsx
Author: Dongqiang Zeng [aut], Yiran Fang [aut], Shixiang Wang [aut, cre] , Qingcong Luo [aut], Hongqian Qian [aut]
Maintainer: Shixiang Wang <w_shixiang@163.com>
Repository: CRAN
Date/Publication: 2026-04-22 14:00:18 UTC

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New package finlabR with initial version 1.0.0
Package: finlabR
Title: Portfolio Analytics and Simulation Toolkit
Version: 1.0.0
Description: Tools for portfolio construction and risk analytics, including mean-variance optimization, conditional value at risk (expected shortfall) minimization, risk parity, regime clustering, correlation analysis, Monte Carlo simulation, and option pricing. Includes utilities for portfolio evaluation, clustering, and risk reporting. Methods are based in part on Markowitz (1952) <doi:10.1111/j.1540-6261.1952.tb01525.x>, Rockafellar and Uryasev (2000) <doi:10.21314/JOR.2000.038>, Maillard et al. (2010) <doi:10.3905/jpm.2010.36.4.060>, Black and Scholes (1973) <doi:10.1086/260062>, and Cox et al. (1979) <doi:10.1016/0304-405X(79)90015-1>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: stats, utils, quadprog, ggplot2, PerformanceAnalytics, zoo, class, quantmod, reshape2, mclust, shiny
Suggests: bslib, TTR, DT, xts, yfR, cryptoQuotes, tidyquant, Rtsne, umap, testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-22 06:38:54 UTC; suyashjindal
Author: Suyash Jindal [aut, cre]
Maintainer: Suyash Jindal <jindalsuyash7@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-04-22 13:20:14 UTC

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New package factorana with initial version 1.2.0
Package: factorana
Title: Factor Model Estimation with Latent Variables
Version: 1.2.0
Description: A flexible framework for estimating factor models with multiple latent variables. Supports linear, probit, ordered probit, and multinomial logit model components. Features include multi-stage estimation, automatic parameter initialization, analytical gradients and Hessians, and parallel estimation. Methods are described in Heckman, Humphries, and Veramendi (2016) <doi:10.1016/j.jeconom.2015.12.001>, Heckman, Humphries, and Veramendi (2018) <doi:10.1086/698760>, and Humphries, Joensen, and Veramendi (2024) <doi:10.1257/pandp.20241026>.
License: GPL-3
Encoding: UTF-8
Imports: Rcpp (>= 1.0.0), MASS, nnet, parallel, stats, utils
LinkingTo: Rcpp, RcppEigen
Suggests: doParallel, foreach, jsonlite, knitr, nloptr, rmarkdown, testthat (>= 3.0.0), trustOptim
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-04-22 09:54:03 UTC; mendi
Author: Greg Veramendi [aut, cre], Jess Xiong [aut]
Maintainer: Greg Veramendi <greg.veramendi@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-22 13:40:08 UTC

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New package dcvar with initial version 0.1.0
Package: dcvar
Title: Dynamic Copula VAR Models for Time-Varying Dependence
Version: 0.1.0
Description: Fits Bayesian copula vector autoregressive models for bivariate time series with dynamic, regime-switching, and constant dependence structures. The package includes simulation, data preparation, estimation with 'Stan' through 'rstan' or 'cmdstanr', posterior summaries, diagnostics, trajectory extraction, fitted and predictive summaries, and approximate leave-one-out cross-validation model comparison for supported fits. For Bayesian computation and model comparison, see Carpenter et al. (2017) <doi:10.18637/jss.v076.i01> and Vehtari, Gelman and Gabry (2017) <doi:10.1007/s11222-016-9696-4>.
License: GPL (>= 3)
URL: https://github.com/benlug/dcvar
BugReports: https://github.com/benlug/dcvar/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: rstan (>= 2.26.0), posterior (>= 1.5.0), loo (>= 2.7.0), ggplot2 (>= 3.4.0), patchwork (>= 1.1.0), bayesplot (>= 1.10.0), rlang (>= 1.0.0), cli (>= 3.0.0), parallel, stats, tools, utils
Suggests: cmdstanr (>= 0.8.0), testthat (>= 3.0.0), knitr, rmarkdown, withr, sn
Additional_repositories: https://stan-dev.r-universe.dev
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-22 11:15:01 UTC; benediktlugauer
Author: Benedikt Lugauer [aut, cre]
Maintainer: Benedikt Lugauer <benedikt.lugauer@uni-leipzig.de>
Repository: CRAN
Date/Publication: 2026-04-22 13:50:08 UTC

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Package SCIproj updated to version 1.0.1 with previous version 1.0.0 dated 2026-03-18

Title: Creates a Scientific Project Skeleton as an R Package
Description: Provides a template for new research projects structured as an R package-based research compendium. Everything - data, R scripts, custom functions and manuscript or reports - is contained within the same package to facilitate collaboration and promote reproducible research, following the FAIR principles.
Author: Saskia Otto [aut, cre, cph]
Maintainer: Saskia Otto <saskia.a.otto@gmail.com>

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Package RDesk updated to version 1.0.5 with previous version 1.0.4 dated 2026-03-31

Title: Native Desktop App Framework for 'R'
Description: Build native Windows desktop applications using 'R' and 'WebView2'. Provides a robust 'R6'-based event loop, asynchronous background task management via 'mirai' and 'callr', and a native 'Win32' message bridge for seamless 'R'-to-user-interface communication without listening ports or network overhead. Allows 'R' developers to create professional, standalone desktop tools with modern web-based user interfaces while maintaining a pure 'R' backend.
Author: Janakiraman G [aut, cre] , Serge Zaitsev [cph] ), Niels Lohmann [cph] ), Microsoft Corporation [cph] )
Maintainer: Janakiraman G <janakiraman.bt@gmail.com>

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Package GREENeR updated to version 1.0.2 with previous version 1.0.1 dated 2026-02-11

Title: Geospatial Regression Equation for European Nutrient Losses (GREEN)
Description: Tools and methods to apply the model Geospatial Regression Equation for European Nutrient losses (GREEN); Grizzetti et al. (2005) <doi:10.1016/j.jhydrol.2004.07.036>; Grizzetti et al. (2008); Grizzetti et al. (2012) <doi:10.1111/j.1365-2486.2011.02576.x>; Grizzetti et al. (2021) <doi:10.1016/j.gloenvcha.2021.102281>.
Author: A. Udias [aut], B. Grizzetti [aut], O. Vigiak [aut], J. Gomez [aut], C. Alfaro [aut, cre], A. Aloe [aut]
Maintainer: C. Alfaro <c.alfarog@gmail.com>

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Package ggguides updated to version 1.1.5 with previous version 1.1.4 dated 2026-01-09

Title: Simplified Legend and Guide Alignment for 'ggplot2'
Description: Provides one-liner functions for common legend and guide operations in 'ggplot2'. Simplifies legend positioning, styling, wrapping, and collection across multi-panel plots created with 'patchwork' or 'cowplot'.
Author: Gilles Colling [aut, cre]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package extraDistr updated to version 1.10.0.3 with previous version 1.10.0.2 dated 2026-01-18

Title: Additional Univariate and Multivariate Distributions
Description: Density, distribution function, quantile function and random generation for a number of univariate and multivariate distributions. This package implements the following distributions: Bernoulli, beta-binomial, beta-negative binomial, beta prime, Bhattacharjee, Birnbaum-Saunders, bivariate normal, bivariate Poisson, categorical, Dirichlet, Dirichlet-multinomial, discrete gamma, discrete Laplace, discrete normal, discrete uniform, discrete Weibull, Frechet, gamma-Poisson, generalized extreme value, Gompertz, generalized Pareto, Gumbel, half-Cauchy, half-normal, half-t, Huber density, inverse chi-squared, inverse-gamma, Kumaraswamy, Laplace, location-scale t, logarithmic, Lomax, multivariate hypergeometric, multinomial, negative hypergeometric, non-standard beta, normal mixture, Poisson mixture, Pareto, power, reparametrized beta, Rayleigh, shifted Gompertz, Skellam, slash, triangular, truncated binomial, truncated normal, truncated Poisson, Tukey lambda, Wald, zero-inflated binomial, zer [...truncated...]
Author: Tymoteusz Wolodzko [aut], Sigbert Klinke [cre], Thomas Farrar [ctb]
Maintainer: Sigbert Klinke <sigbert@wiwi.hu-berlin.de>

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Package dvir updated to version 3.4.0 with previous version 3.3.0 dated 2024-09-09

Title: Disaster Victim Identification
Description: Joint DNA-based disaster victim identification (DVI), as described in Vigeland and Egeland (2021) <doi:10.21203/rs.3.rs-296414/v1>. Identification is performed by optimising the joint likelihood of all victim samples and reference individuals. Individual identification probabilities, conditional on all available information, are derived from the joint solution in the form of posterior pairing probabilities. 'dvir' is part of the 'pedsuite' collection of packages for pedigree analysis.
Author: Magnus Dehli Vigeland [aut, cre] , Thore Egeland [aut]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

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Package aftables updated to version 2.0.1 with previous version 2.0.0 dated 2026-03-20

Title: Create Spreadsheet Publications Following Best Practice
Description: Generate spreadsheet publications that follow best practice guidance from the UK government's Analysis Function, available at <https://analysisfunction.civilservice.gov.uk/policy-store/releasing-statistics-in-spreadsheets/>, with a focus on accessibility. See also the 'Python' package 'gptables'.
Author: Matt Dray [aut], Tim Taylor [ctb], Matt Kerlogue [ctb], Crown Copyright [cph], Olivia Box Power [cre, ctb], Zachary Gleisner [ctb]
Maintainer: Olivia Box Power <Olivia.BoxPower@dhsc.gov.uk>

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Package localsolver (with last version 2.3) was removed from CRAN

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2014-06-17 2.3

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2022-08-28 1.1-6
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2017-11-13 1.1.0
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2012-03-27 1.2
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Package gamlss.demo (with last version 4.3-3) was removed from CRAN

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2015-07-16 4.3-3
2015-02-04 4.3-1
2014-01-11 4.2-7
2012-02-15 4.1-0
2010-10-16 4.0-4
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Package FuzzyLP (with last version 0.1-7) was removed from CRAN

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2023-08-20 0.1-7
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Package rFerns (with last version 5.0.0) was removed from CRAN

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2021-09-22 5.0.0
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2018-07-16 3.0.0
2017-11-15 2.0.3
2016-07-22 2.0.2
2016-05-20 2.0.1
2015-12-03 2.0.0
2014-11-30 1.1.0
2014-11-11 1.0.0
2014-03-24 0.3.3
2014-02-18 0.3.2
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2012-01-18 0.3
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Package SRCS (with last version 1.1) was removed from CRAN

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2015-07-02 1.1
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Package SASmixed (with last version 1.0-4) was removed from CRAN

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2014-03-11 1.0-4
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2011-10-17 1.0-1
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Package rtematres (with last version 0.2) was removed from CRAN

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2013-08-23 0.2
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Package tuple (with last version 0.4-02) was removed from CRAN

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2014-10-31 0.4-02
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Package ART (with last version 1.0) was removed from CRAN

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2015-08-12 1.0

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2015-02-28 0.5.1

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2019-09-08 0.3.2
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Package soilassessment updated to version 1.3.0 with previous version 0.3.2 dated 2026-04-13

Title: Soil Health Assessment Models for Assessing Soil Conditions and Suitability
Description: Soil health assessment builds information to improve decision in soil management. It facilitates assessment of soil conditions for crop suitability [such as those given by FAO <https://www.fao.org/land-water/databases-and-software/crop-information/en/>], groundwater recharge, fertility, erosion, salinization [<doi:10.1002/ldr.4211>], carbon sequestration, irrigation potential, and status of soil resources.
Author: Christian Thine Omuto [aut, cre]
Maintainer: Christian Thine Omuto <thineomuto@yahoo.com>

Diff between soilassessment versions 0.3.2 dated 2026-04-13 and 1.3.0 dated 2026-04-22

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Package processx updated to version 3.9.0 with previous version 3.8.7 dated 2026-04-01

Title: Execute and Control System Processes
Description: Tools to run system processes in the background. It can check if a background process is running; wait on a background process to finish; get the exit status of finished processes; kill background processes. It can read the standard output and error of the processes, using non-blocking connections. 'processx' can poll a process for standard output or error, with a timeout. It can also poll several processes at once.
Author: Gabor Csardi [aut, cre, cph] , Winston Chang [aut], Posit Software, PBC [cph, fnd] , Ascent Digital Services [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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More information about processx at CRAN
Permanent link

Package pkggraph updated to version 0.3.1 with previous version 0.3.0 dated 2026-02-23

Title: Explore the R Package Dependencies on the Comprehensive R Archive Network (CRAN) Like Repositories
Description: Explore various dependencies of a packages (on the Comprehensive R Archive Network Like repositories). The functions get_neighborhood() and get_dependencies() provide dependencies of packages and as_graph() can be used to convert into a 'igraph' object for further analysis and plotting.
Author: Komala Sheshachala Srikanth [aut, cre], Singh Nikhil [aut]
Maintainer: Komala Sheshachala Srikanth <sri.teach@gmail.com>

Diff between pkggraph versions 0.3.0 dated 2026-02-23 and 0.3.1 dated 2026-04-22

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More information about pkggraph at CRAN
Permanent link

Package S7 updated to version 0.2.2 with previous version 0.2.1-1 dated 2026-04-15

Title: An Object Oriented System Meant to Become a Successor to S3 and S4
Description: A new object oriented programming system designed to be a successor to S3 and S4. It includes formal class, generic, and method specification, and a limited form of multiple dispatch. It has been designed and implemented collaboratively by the R Consortium Object-Oriented Programming Working Group, which includes representatives from R-Core, 'Bioconductor', 'Posit'/'tidyverse', and the wider R community.
Author: Object-Oriented Programming Working Group [cph], Davis Vaughan [aut], Jim Hester [aut] , Tomasz Kalinowski [aut], Will Landau [aut], Michael Lawrence [aut], Martin Maechler [aut] , Luke Tierney [aut], Hadley Wickham [aut, cre]
Maintainer: Hadley Wickham <hadley@posit.co>

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More information about S7 at CRAN
Permanent link

Package ggseg3d updated to version 2.1.1 with previous version 2.1.0 dated 2026-04-09

Title: Interactive 3D Brain Atlas Visualization
Description: Plot brain atlases as interactive 3D meshes using 'Three.js' via 'htmlwidgets', or render publication-quality static images through 'rgl' and 'rayshader'. A pipe-friendly API lets you map data onto brain regions, control camera angles, toggle region edges, overlay glass brains, and snapshot or ray-trace the result. Additional atlases are available through the 'ggsegverse' r-universe. Mowinckel & Vidal-Piñeiro (2020) <doi:10.1177/2515245920928009>.
Author: Athanasia Mo Mowinckel [aut, cre] , Didac Vidal-Pineiro [aut] , Center for Lifespan Changes in Brain and Cognition , University of Oslo [cph], three.js authors [ctb, cph]
Maintainer: Athanasia Mo Mowinckel <a.m.mowinckel@psykologi.uio.no>

Diff between ggseg3d versions 2.1.0 dated 2026-04-09 and 2.1.1 dated 2026-04-22

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Package vartest updated to version 1.5 with previous version 1.4 dated 2026-04-07

Title: Tests for Variance Homogeneity
Description: Performs 18 omnibus tests yielding a total of 28 distinct methodological variations for testing the composite hypothesis of variance homogeneity.
Author: Gozde Cosar [aut], Muhammed Ali Yilmaz [aut], Merve Kasikci [aut], Osman Dag [aut, cre]
Maintainer: Osman Dag <osman.dag@outlook.com>

Diff between vartest versions 1.4 dated 2026-04-07 and 1.5 dated 2026-04-22

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More information about vartest at CRAN
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Package highcharter updated to version 0.9.5 with previous version 0.9.4 dated 2022-01-03

Title: A Wrapper for the 'Highcharts' Library
Description: A wrapper for the 'Highcharts' library including shortcut functions to plot R objects. 'Highcharts' <https://www.highcharts.com/> is a charting library offering numerous chart types with a simple configuration syntax.
Author: Joshua Kunst [aut, cre], Nuno Agostinho [ctb] , Danton Noriega [ctb] , Martin John Hadley [ctb] , Eduardo Flores [ctb] , Dean Kilfoyle [ctb] , Adline Dsilva [ctb] , Kamil Slowikowski [ctb] , Christian Minich [ctb] , Jonathan Armond [ctb] , David Breu [...truncated...]
Maintainer: Joshua Kunst <jbkunst@gmail.com>

Diff between highcharter versions 0.9.4 dated 2022-01-03 and 0.9.5 dated 2026-04-22

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 highcharter-0.9.5/highcharter/man/random_id.Rd                                                 |   32 
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 highcharter-0.9.5/highcharter/man/vaccines.Rd                                                  |   58 
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More information about highcharter at CRAN
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Package ggplot2 updated to version 4.0.3 with previous version 4.0.2 dated 2026-02-03

Title: Create Elegant Data Visualisations Using the Grammar of Graphics
Description: A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.
Author: Hadley Wickham [aut] , Winston Chang [aut] , Lionel Henry [aut], Thomas Lin Pedersen [aut, cre] , Kohske Takahashi [aut], Claus Wilke [aut] , Kara Woo [aut] , Hiroaki Yutani [aut] , Dewey Dunnington [aut] , Teun van den Brand [aut] , Posit, PBC [cph, [...truncated...]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

Diff between ggplot2 versions 4.0.2 dated 2026-02-03 and 4.0.3 dated 2026-04-22

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Package curl updated to version 7.1.0 with previous version 7.0.0 dated 2025-08-19

Title: A Modern and Flexible Web Client for R
Description: Bindings to 'libcurl' <https://curl.se/libcurl/> for performing fully configurable HTTP/FTP requests where responses can be processed in memory, on disk, or streaming via the callback or connection interfaces. Some knowledge of 'libcurl' is recommended; for a more-user-friendly web client see the 'httr2' package which builds on this package with http specific tools and logic.
Author: Jeroen Ooms [aut, cre] , Hadley Wickham [ctb], Posit Software, PBC [cph]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between curl versions 7.0.0 dated 2025-08-19 and 7.1.0 dated 2026-04-22

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New package weightederm with initial version 0.1.0
Package: weightederm
Title: Weighted Empirical Risk Minimization for Changepoint Regression
Version: 0.1.0
Description: R interface to the 'weightederm' package for 'Python', which provides 'scikit-learn'-style estimators for offline change point regression (data segmentation) via weighted empirical risk minimization. Supports least-squares, Huber, and logistic losses with fixed or cross-validated numbers of change points. Wraps 'Python' via 'reticulate'. Arpino and Venkataramanan (2026) <doi:10.48550/arXiv.2604.11746>.
License: Apache License (>= 2.0)
URL: https://github.com/gabrielarpino/weightederm-r
BugReports: https://github.com/gabrielarpino/weightederm-r/issues
Imports: reticulate (>= 1.28)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
SystemRequirements: Python (>= 3.9), weightederm Python package
NeedsCompilation: no
Packaged: 2026-04-21 21:45:01 UTC; gabrielarpino
Author: Gabriel Arpino [aut, cre]
Maintainer: Gabriel Arpino <arpino.gabriel@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-22 08:20:02 UTC

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Package utsf updated to version 1.3.3 with previous version 1.3.2 dated 2026-04-14

Title: Univariate Time Series Forecasting
Description: An engine for univariate time series forecasting using different regression models in an autoregressive way. The engine provides an uniform interface for applying the different models. Furthermore, it is extensible so that users can easily apply their own regression models to univariate time series forecasting and benefit from all the features of the engine, such as preprocessings or estimation of forecast accuracy.
Author: Maria Pilar Frias-Bustamante [aut] , Francisco Martinez [aut, cre, cph]
Maintainer: Francisco Martinez <fmartin@ujaen.es>

Diff between utsf versions 1.3.2 dated 2026-04-14 and 1.3.3 dated 2026-04-22

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New package wARMASVp with initial version 0.1.0
Package: wARMASVp
Title: Winsorized ARMA Estimation for Higher-Order Stochastic Volatility Models
Version: 0.1.0
Description: Estimation, simulation, hypothesis testing, and forecasting for univariate higher-order stochastic volatility SV(p) models. Supports Gaussian, Student-t, and Generalized Error Distribution (GED) innovations, with optional leverage effects. Estimation uses closed-form Winsorized ARMA-SV (W-ARMA-SV) moment-based methods that avoid numerical optimization. Hypothesis testing includes Local Monte Carlo (LMC) and Maximized Monte Carlo (MMC) procedures for leverage effects, heavy tails, and autoregressive order selection. Forecasting is based on Kalman filtering and smoothing. See Ahsan and Dufour (2021) <doi:10.1016/j.jeconom.2020.01.018>, Ahsan, Dufour, and Rodriguez Rondon (2025) for details.
License: GPL (>= 3)
URL: https://github.com/roga11/wARMASVp
BugReports: https://github.com/roga11/wARMASVp/issues
Encoding: UTF-8
Imports: Rcpp (>= 1.0.0), gsignal, stats
Suggests: pso, GenSA, testthat (>= 3.0.0), knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-04-21 20:58:28 UTC; gabrielrodriguez
Author: Gabriel Rodriguez Rondon [aut, cre] , Nazmul Ahsan [aut], Jean-Marie Dufour [aut]
Maintainer: Gabriel Rodriguez Rondon <gabriel.rodriguezrondon@mail.mcgill.ca>
Repository: CRAN
Date/Publication: 2026-04-22 08:20:08 UTC

More information about wARMASVp at CRAN
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New package ucminfcpp with initial version 1.0.0
Package: ucminfcpp
Title: 'C++' Reimplementation of the 'ucminf' Unconstrained Nonlinear Optimizer
Version: 1.0.0
Description: A modern 'C++17/ reimplementation of the 'UCMINF/ algorithm for unconstrained nonlinear optimization (Nielsen and Mortensen, 2011, <doi:10.32614/CRAN.package.ucminf>), offering full API compatibility with the original 'ucminf' R package but developed independently. The optimizer core has been rewritten in 'C' with a modern header-only 'C++17' interface, zero-allocation line search, and an 'Rcpp' interface. The goal is numerical equivalence with improved performance, reproducibility, and extensibility. Includes extensive test coverage, performance regression tests, and compatibility checks against 'ucminf'. This package is not affiliated with the original maintainers but acknowledges their authorship of the algorithm and the original R interface.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp
LinkingTo: Rcpp (>= 1.1.0)
Suggests: testthat (>= 3.0.0), ucminf, microbenchmark
URL: https://github.com/alrobles/ucminfcpp, https://alrobles.github.io/ucminfcpp/
BugReports: https://github.com/alrobles/ucminfcpp/issues
NeedsCompilation: yes
Packaged: 2026-04-22 02:53:28 UTC; alrob
Author: Angel Luis Robles Fernandez [aut, cre], Hans Bruun Nielsen [cph] ), Rex Brown [ctb] , K Herve Dakpo [ctb]
Maintainer: Angel Luis Robles Fernandez <a.l.robles.fernandez@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-22 09:00:02 UTC

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New package tinypkgr with initial version 0.2.1
Package: tinypkgr
Title: Minimal R Package Development Utilities
Version: 0.2.1
Description: Lightweight wrappers around 'R CMD INSTALL', 'R CMD check', 'R CMD build', 'win-builder' uploads, and 'CRAN' submission. Provides functions for installing, loading, checking, building, and submitting R packages with minimal dependencies (only 'curl' for uploads). Background on R package development is in Wickham and Bryan (2023, ISBN:9781098134945), "Writing R Extensions" <https://cran.r-project.org/doc/manuals/R-exts.html>, and the 'CRAN' Repository Policy <https://cran.r-project.org/web/packages/policies.html>.
License: GPL-3
URL: https://github.com/cornball-ai/tinypkgr
BugReports: https://github.com/cornball-ai/tinypkgr/issues
Encoding: UTF-8
Imports: curl
Suggests: tinyrox, tinytest
NeedsCompilation: no
Packaged: 2026-04-22 00:50:16 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-04-22 08:50:02 UTC

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Package Seurat updated to version 5.5.0 with previous version 5.4.0 dated 2025-12-14

Title: Tools for Single Cell Genomics
Description: A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>, and Hao, Hao, et al (2020) <doi:10.1101/2020.10.12.335331> for more details.
Author: Andrew Butler [ctb] , Saket Choudhary [ctb] , David Collins [ctb] , Charlotte Darby [ctb] , Jeff Farrell [ctb], Isabella Grabski [ctb] , Christoph Hafemeister [ctb] , Yuhan Hao [ctb] , Austin Hartman [ctb] , Paul Hoffman [ctb] , Jaison Jain [ctb] , L [...truncated...]
Maintainer: Rahul Satija <seurat@nygenome.org>

Diff between Seurat versions 5.4.0 dated 2025-12-14 and 5.5.0 dated 2026-04-22

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Package rtables updated to version 0.6.16 with previous version 0.6.15 dated 2025-12-14

Title: Reporting Tables
Description: Reporting tables often have structure that goes beyond simple rectangular data. The 'rtables' package provides a framework for declaring complex multi-level tabulations and then applying them to data. This framework models both tabulation and the resulting tables as hierarchical, tree-like objects which support sibling sub-tables, arbitrary splitting or grouping of data in row and column dimensions, cells containing multiple values, and the concept of contextual summary computations. A convenient pipe-able interface is provided for declaring table layouts and the corresponding computations, and then applying them to data.
Author: Gabriel Becker [aut] , Adrian Waddell [aut], Daniel Sabanes Bove [ctb], Maximilian Mordig [ctb], Davide Garolini [aut] , Emily de la Rua [aut] , Abinaya Yogasekaram [ctb] , Joe Zhu [aut, cre] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

Diff between rtables versions 0.6.15 dated 2025-12-14 and 0.6.16 dated 2026-04-22

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Package RChASM updated to version 1.0.1 with previous version 1.0.0 dated 2026-03-03

Title: Detection of Chromosomal Aneuploidies in Ancient DNA Studies
Description: An R implementation of ChASM (Chromosomal Aneuploidy Screening Methodology): a statistically rigorous Bayesian approach for screening data sets for autosomal and sex chromosomal aneuploidies. This package takes as input the number of (deduplicated) reads mapping to chromosomes 1-22 and the X and Y chromosomes, and models these using a Dirichlet-multinomial distribution. From this, This package returns posterior probabilities of sex chromosomal karyotypes (XX, XY, XXY, XYY, XXX and X) and full autosomal aneuploidies (trisomy 13, trisomy 18 and trisomy 21). This package also returns two diagnostic statistics: (i) a posterior probability addressing whether contamination between XX and XY may explain the observed sex chromosomal aneuploidy, and (ii) a chi-squared statistic measuring whether the observed read counts are too divergent from the underlying distribution (and may represent abnormal sequencing/quality issues).
Author: Adam B. Rohrlach [aut, cph] , Jono Tuke [aut, cre] , Wolfgang Haak [aut]
Maintainer: Jono Tuke <simon.tuke@adelaide.edu.au>

Diff between RChASM versions 1.0.0 dated 2026-03-03 and 1.0.1 dated 2026-04-22

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Package qs2 updated to version 0.2.0 with previous version 0.1.7 dated 2026-01-20

Title: Efficient Serialization of R Objects
Description: Streamlines and accelerates the process of saving and loading R objects, improving speed and compression compared to other methods. The package provides two compression formats: the 'qs2' format, which uses R serialization via the C API while optimizing compression and disk I/O, and the 'qdata' format, featuring custom serialization for slightly faster performance and better compression. Additionally, the 'qs2' format can be directly converted to the standard 'RDS' format, ensuring long-term compatibility with future versions of R.
Author: Travers Ching [aut, cre, cph], Yann Collet [ctb, cph] , Facebook, Inc. [cph] , Reichardt Tino [ctb, cph] , Skibinski Przemyslaw [ctb, cph] , Mori Yuta [ctb, cph] , Francesc Alted [ctb, cph]
Maintainer: Travers Ching <traversc@gmail.com>

Diff between qs2 versions 0.1.7 dated 2026-01-20 and 0.2.0 dated 2026-04-22

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Package olsrr updated to version 0.7.0 with previous version 0.6.1 dated 2024-11-06

Title: Tools for Building OLS Regression Models
Description: Tools designed to make it easier for users, particularly beginner/intermediate R users to build ordinary least squares regression models. Includes comprehensive regression output, heteroskedasticity tests, collinearity diagnostics, residual diagnostics, measures of influence, model fit assessment and variable selection procedures.
Author: Aravind Hebbali [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>

Diff between olsrr versions 0.6.1 dated 2024-11-06 and 0.7.0 dated 2026-04-22

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More information about olsrr at CRAN
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New package hanyupinyin with initial version 0.1.1
Package: hanyupinyin
Title: Convert Chinese Characters into Hanyu Pinyin
Version: 0.1.1
Description: Convert Chinese characters into Hanyu Pinyin (the official romanization system for Standard Chinese) with support for tones, toneless output, initials, URL slugs, and valid R variable names. The package was inspired by the now-orphaned CRAN package 'pinyin' (archived in April 2026 after the maintainer became unreachable). 'hanyupinyin' is a ground-up rewrite using the authoritative Unicode Unihan database, a vectorized engine, and modern R practices. Dictionary data are derived from the Unicode Unihan Database (Unicode Consortium, 2025) <https://www.unicode.org/reports/tr38/>.
License: MIT + file LICENSE
URL: https://github.com/CuiHR17/hanyupinyin
BugReports: https://github.com/CuiHR17/hanyupinyin/issues
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: stringi
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-04-22 01:54:24 UTC; cuihaoran
Author: Haoran Cui [aut, cre]
Maintainer: Haoran Cui <hao.ran.cui@ktstat.com>
Repository: CRAN
Date/Publication: 2026-04-22 08:50:07 UTC

More information about hanyupinyin at CRAN
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New package GLMBasedRaschEstimation with initial version 0.1.2
Package: GLMBasedRaschEstimation
Title: GLM-Based Estimation for Rasch Model Parameters
Version: 0.1.2
Description: Provides functions for estimating Rasch model parameters using the Generalized Linear Model (GLM) framework. The methods implemented are based on Brown (2018, ISBN:978-3-319-93547-8) <doi:10.1007/978-3-319-93549-2> and Debelak et al. (2022, ISBN:978-1-138-71046-7) <doi:10.1201/9781315200620>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: graphics, stats
URL: https://github.com/DrAhmedSamir/GLMBasedRaschEstimation
BugReports: https://github.com/DrAhmedSamir/GLMBasedRaschEstimation/issues
NeedsCompilation: no
Packaged: 2026-04-21 21:09:02 UTC; Tabarak
Author: Ahmed Samir Megahed [aut, cre], Mustafa Ali Khalaf [aut], Ibraheem Mohamed Mougy [aut]
Maintainer: Ahmed Samir Megahed <Asamir@foe.zu.edu.eg>
Repository: CRAN
Date/Publication: 2026-04-22 08:20:20 UTC

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New package EpiNova with initial version 0.1.0
Package: EpiNova
Title: Flexible Extended State-Space Epidemiological Models with Modern Inference
Version: 0.1.0
Description: An extended epidemiological modelling framework that goes beyond the classical SIR (Susceptible-Infectious-Recovered) model. Supports SEIR (Susceptible-Exposed-Infectious-Recovered), SEIRD (Susceptible-Exposed-Infectious-Recovered-Deceased), SVEIRD (Susceptible-Vaccinated-Exposed-Infectious-Recovered-Deceased), and age-stratified compartmental models with flexible intervention functions (spline-based, Gaussian process, or user-defined). Inference is available via maximum likelihood or sequential Monte Carlo (SMC, also known as particle filtering) with no external binary dependencies. Includes a dependency-free real-time effective reproduction number (Rt) estimator, spatial multi-patch models with gravity-model mobility, ensemble forecasting via Bayesian model averaging (BMA), and proper scoring rules including CRPS (Continuous Ranked Probability Score), coverage, and MAE (Mean Absolute Error) for forecast evaluation. Methods follow Anderson and May (1991, ISBN:9780198545996), Doucet, d [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: deSolve, ggplot2, dplyr, tidyr, splines, scales
Suggests: DEoptim, MASS, numDeriv, rstan, TMB, EpiEstim, knitr, rmarkdown, testthat (>= 3.0.0), ggpubr, patchwork
VignetteBuilder: knitr
URL: https://github.com/causalfragility-lab/EpiNova
BugReports: https://github.com/causalfragility-lab/EpiNova/issues
NeedsCompilation: no
Packaged: 2026-04-21 22:48:21 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-04-22 08:20:26 UTC

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Package valdr updated to version 3.0.0 with previous version 2.2.0 dated 2026-02-25

Title: Access and Analyse 'VALD' Data via Our External 'APIs'
Description: Provides helper functions and wrappers to simplify authentication, data retrieval, and result processing from the 'VALD' 'APIs'. Designed to streamline integration for analysts and researchers working with 'VALD's external 'APIs'. For further documentation on integrating with 'VALD' 'APIs', see: <https://support.vald.com/hc/en-au/articles/23415335574553-How-to-integrate-with-VALD-APIs>. For a step-by-step guide to using this package, see: <https://support.vald.com/hc/en-au/articles/48730811824281-A-guide-to-using-the-valdr-R-package>.
Author: Kieran Harrison [aut, cre], VALD Support [ctb], VALD [cph]
Maintainer: Kieran Harrison <k.harrison@vald.com>

Diff between valdr versions 2.2.0 dated 2026-02-25 and 3.0.0 dated 2026-04-22

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New package spopt with initial version 0.1.2
Package: spopt
Title: Spatial Optimization for Regionalization, Facility Location, and Market Analysis
Version: 0.1.2
Date: 2026-04-16
Description: Implements spatial optimization algorithms across several problem families including contiguity-constrained regionalization, discrete facility location, market share analysis, and least-cost corridor and route optimization over raster cost surfaces. Facility location problems also accept user-supplied network travel-time matrices. Uses a 'Rust' backend via 'extendr' for graph and routing algorithms, and the 'HiGHS' solver via the 'highs' package for facility location mixed-integer programs. Method-level references are provided in the documentation of the individual functions.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: sf, spdep, Matrix, highs
Suggests: testthat (>= 3.0.0), terra, dodgr, r5r, knitr, rmarkdown, quarto, tidycensus, tidyverse, mapgl
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.70
URL: https://walker-data.com/spopt-r/, https://github.com/walkerke/spopt-r
BugReports: https://github.com/walkerke/spopt-r/issues
Depends: R (>= 4.2)
LazyData: true
NeedsCompilation: yes
Packaged: 2026-04-16 21:56:40 UTC; kylewalker
Author: Kyle Walker [aut, cre], PySAL Developers [cph]
Maintainer: Kyle Walker <kyle@walker-data.com>
Repository: CRAN
Date/Publication: 2026-04-22 07:40:02 UTC

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Package jackstraw readmission to version 1.3.21 with previous version 1.3.17 dated 2024-09-16

Title: Statistical Inference for Unsupervised Learning
Description: Test for association between the observed data and their estimated latent variables. The jackstraw package provides a resampling strategy and testing scheme to estimate statistical significance of association between the observed data and their latent variables. Depending on the data type and the analysis aim, the latent variables may be estimated by principal component analysis (PCA), factor analysis (FA), K-means clustering, and related unsupervised learning algorithms. The jackstraw methods learn over-fitting characteristics inherent in this circular analysis, where the observed data are used to estimate the latent variables and used again to test against that estimated latent variables. When latent variables are estimated by PCA, the jackstraw enables statistical testing for association between observed variables and latent variables, as estimated by low-dimensional principal components (PCs). This essentially leads to identifying variables that are significantly associated with PC [...truncated...]
Author: Neo Christopher Chung [aut, cre] , John D. Storey [aut] , Wei Hao [aut], Alejandro Ochoa [aut]
Maintainer: Neo Christopher Chung <nchchung@gmail.com>

This is a re-admission after prior archival of version 1.3.17 dated 2024-09-16

Diff between jackstraw versions 1.3.17 dated 2024-09-16 and 1.3.21 dated 2026-04-22

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Package EvaluateCore updated to version 0.1.5 with previous version 0.1.4 dated 2025-12-18

Title: Quality Evaluation of Core Collections
Description: Implements various quality evaluation statistics to assess the value of plant germplasm core collections using qualitative and quantitative phenotypic trait data according to Odong et al. (2015) <doi:10.1007/s00122-012-1971-y>.
Author: J. Aravind [aut, cre] , Vikender Kaur [aut] , Dhammaprakash Pandhari Wankhede [aut] , Joghee Nanjundan [aut] , ICAR-NBGPR [cph]
Maintainer: J. Aravind <j.aravind@icar.org.in>

Diff between EvaluateCore versions 0.1.4 dated 2025-12-18 and 0.1.5 dated 2026-04-22

 DESCRIPTION                      |   12 
 MD5                              |   78 ++--
 NEWS.md                          |    8 
 R/EvaluateCore-deprecated.R      |    2 
 R/bar.evaluate.core.R            |    2 
 R/box.evaluate.core.R            |    2 
 R/cassava_CC.R                   |    2 
 R/cassava_EC.R                   |    2 
 R/checks.evaluate.core.R         |    2 
 R/chisquare.evalueate.core.R     |    2 
 R/corr.evaluate.core.R           |    2 
 R/coverage.evaluate.core.R       |    2 
 R/cr.evaluate.core.R             |    2 
 R/dist.evaluate.core.R           |    2 
 R/diversity.evaluate.core.R      |  154 ++++++---
 R/freqdist.evaluate.core.R       |    2 
 R/globals.R                      |    2 
 R/iqr.evaluate.core.R            |    2 
 R/levene.evaluate.core.R         |    2 
 R/pca.evaluate.core.R            |    2 
 R/pdfdist.evaluate.core.R        |    2 
 R/percentdiff.evaluate.core.R    |    5 
 R/qq.evaluate.core.R             |    2 
 R/rpr.evaluate.core.R            |    2 
 R/scv.evaluate.core.R            |    2 
 R/shannon.evaluate.core.R        |    2 
 R/signtest.evaluate.core.R       |    2 
 R/snk.evaluate.core.R            |    2 
 R/ttest.evaluate.core.R          |    2 
 R/vpf.evaluate.core.R            |    2 
 R/vr.evaluate.core.R             |    2 
 R/wilcox.evaluate.core.R         |    2 
 R/xtra.R                         |    2 
 README.md                        |  107 ++----
 build/partial.rdb                |binary
 build/stage23.rdb                |binary
 inst/CITATION                    |    4 
 inst/REFERENCES.bib              |  610 +++++++++++++++++++++------------------
 man/diversity.evaluate.core.Rd   |  100 ++++--
 man/percentdiff.evaluate.core.Rd |    3 
 40 files changed, 633 insertions(+), 504 deletions(-)

More information about EvaluateCore at CRAN
Permanent link

Package bunddev readmission to version 0.2.3 with previous version 0.2.1 dated 2026-02-16

Title: Discover and Call 'Bund.dev' APIs
Description: Provides a registry of APIs listed on <https://bund.dev> and a core 'OpenAPI' client layer to explore specs and perform requests. Adapter helpers return tidy data frames for supported APIs, with optional response caching and rate limiting guidance.
Author: Michael Buecker [aut, cre]
Maintainer: Michael Buecker <michael.buecker@fh-muenster.de>

This is a re-admission after prior archival of version 0.2.1 dated 2026-02-16

Diff between bunddev versions 0.2.1 dated 2026-02-16 and 0.2.3 dated 2026-04-22

 DESCRIPTION                                    |   10 
 MD5                                            |  533 ++++++++++----------
 NAMESPACE                                      |    8 
 NEWS.md                                        |   37 +
 R/adapt_abfallnavi.R                           |  180 +++++--
 R/adapt_ausbildungssuche.R                     |   88 ++-
 R/adapt_autobahn.R                             |  417 +++++++++++++---
 R/adapt_bewerberboerse.R                       |  116 +++-
 R/adapt_bundeshaushalt.R                       |   55 +-
 R/adapt_bundesrat.R                            |  202 +++++--
 R/adapt_bundestag.R                            |  144 ++++-
 R/adapt_bundestag_lobbyregister.R              |   35 +
 R/adapt_dashboard_deutschland.R                |  103 +++-
 R/adapt_ddb.R                                  |   97 +++
 R/adapt_destatis.R                             |   94 ++-
 R/adapt_deutschlandatlas.R                     |   42 +
 R/adapt_diga.R                                 |  264 ++++++++--
 R/adapt_dip_bundestag.R                        |  638 +++++++++++++++++++++----
 R/adapt_dwd.R                                  |  231 ++++++---
 R/adapt_eco_visio.R                            |   35 +
 R/adapt_feiertage.R                            |   21 
 R/adapt_handelsregister.R                      |   38 +
 R/adapt_hilfsmittel.R                          |  285 +++++++++--
 R/adapt_hochwasserzentralen.R                  |   96 ++-
 R/adapt_jobsuche.R                             |  131 ++++-
 R/adapt_klinikatlas.R                          |only
 R/adapt_ladestationen.R                        |   47 +
 R/adapt_lebensmittelwarnung.R                  |   44 +
 R/adapt_luftqualitaet.R                        |  278 +++++++---
 R/adapt_marktstammdaten.R                      |  303 +++++++++--
 R/adapt_mudab.R                                |  251 +++++++--
 R/adapt_nina.R                                 |  347 +++++++++----
 R/adapt_pegel_online.R                         |  178 +++++-
 R/adapt_pflanzenschutzmittelzulassung.R        |  141 ++++-
 R/adapt_regionalatlas.R                        |   31 +
 R/adapt_smard.R                                |   54 +-
 R/adapt_tagesschau.R                           |  123 +++-
 R/adapt_travelwarning.R                        |  208 ++++++--
 R/bunddev_endpoints.R                          |    1 
 R/core_auth.R                                  |   17 
 R/core_cache.R                                 |   38 +
 R/core_call.R                                  |   18 
 R/core_openapi.R                               |   30 +
 R/core_registry.R                              |   24 
 R/core_throttle.R                              |   14 
 R/core_tidy.R                                  |    7 
 R/core_time.R                                  |    2 
 README.md                                      |    8 
 build/vignette.rds                             |binary
 inst/doc/getting-started.html                  |    4 
 inst/registry/endpoints.yml                    |   32 +
 inst/registry/registry.yml                     |    9 
 man/abfallnavi_fraktionen.Rd                   |   27 -
 man/abfallnavi_fraktionen_hausnummern.Rd       |   27 -
 man/abfallnavi_fraktionen_strassen.Rd          |   27 -
 man/abfallnavi_hausnummern.Rd                  |   27 -
 man/abfallnavi_kalender_download.Rd            |   27 -
 man/abfallnavi_ort.Rd                          |   25 
 man/abfallnavi_orte.Rd                         |   27 -
 man/abfallnavi_strassen.Rd                     |   30 +
 man/abfallnavi_termine_hausnummern.Rd          |   29 -
 man/abfallnavi_termine_strassen.Rd             |   29 -
 man/adapt_klinikatlas.Rd                       |only
 man/ausbildungssuche_details.Rd                |   16 
 man/ausbildungssuche_search.Rd                 |   86 ++-
 man/autobahn_charging_station_details.Rd       |   36 +
 man/autobahn_charging_stations.Rd              |   56 +-
 man/autobahn_closure_details.Rd                |   35 +
 man/autobahn_closures.Rd                       |   56 +-
 man/autobahn_parking_lorries.Rd                |   56 +-
 man/autobahn_parking_lorry_details.Rd          |   36 +
 man/autobahn_roads.Rd                          |   22 
 man/autobahn_roadwork_details.Rd               |   35 +
 man/autobahn_roadworks.Rd                      |   56 +-
 man/autobahn_warning_details.Rd                |   35 +
 man/autobahn_warnings.Rd                       |   56 +-
 man/autobahn_webcam_details.Rd                 |   35 +
 man/autobahn_webcams.Rd                        |   56 +-
 man/bewerberboerse_details.Rd                  |   51 +
 man/bewerberboerse_search.Rd                   |   66 ++
 man/bunddev_auth_get.Rd                        |    7 
 man/bunddev_auth_set.Rd                        |   16 
 man/bunddev_cache_dir.Rd                       |   19 
 man/bunddev_call.Rd                            |   30 +
 man/bunddev_call_tidy.Rd                       |   19 
 man/bunddev_endpoints.Rd                       |   33 +
 man/bunddev_info.Rd                            |    8 
 man/bunddev_list.Rd                            |    9 
 man/bunddev_ms_to_posix.Rd                     |   14 
 man/bunddev_parameter_values.Rd                |   16 
 man/bunddev_parameters.Rd                      |   25 
 man/bunddev_parameters_for.Rd                  |   16 
 man/bunddev_rate_limit_get.Rd                  |   10 
 man/bunddev_rate_limit_set.Rd                  |   10 
 man/bunddev_registry.Rd                        |   18 
 man/bunddev_search.Rd                          |    9 
 man/bunddev_spec.Rd                            |   18 
 man/bunddev_spec_path.Rd                       |   15 
 man/bunddev_timestamp_to_ms.Rd                 |   14 
 man/bundeshaushalt_budget_data.Rd              |   65 +-
 man/bundesrat_aktuelles.Rd                     |   32 +
 man/bundesrat_mitglieder.Rd                    |   32 +
 man/bundesrat_plenum_aktuelle_sitzung.Rd       |   32 +
 man/bundesrat_plenum_chronologisch.Rd          |   32 +
 man/bundesrat_plenum_kompakt.Rd                |   32 +
 man/bundesrat_plenum_naechste_sitzungen.Rd     |   32 +
 man/bundesrat_praesidium.Rd                    |   32 +
 man/bundesrat_startlist.Rd                     |   34 +
 man/bundesrat_stimmverteilung.Rd               |   32 +
 man/bundesrat_termine.Rd                       |   32 +
 man/bundestag_article.Rd                       |   28 -
 man/bundestag_ausschuesse.Rd                   |   28 -
 man/bundestag_ausschuss.Rd                     |   28 -
 man/bundestag_conferences.Rd                   |   28 -
 man/bundestag_lobbyregister_search.Rd          |   35 +
 man/bundestag_mdb_bio.Rd                       |   28 -
 man/bundestag_mdb_index.Rd                     |   28 -
 man/bundestag_speaker.Rd                       |   28 -
 man/bundestag_video_feed.Rd                    |   28 -
 man/dashboard_deutschland_geo.Rd               |   41 +
 man/dashboard_deutschland_get.Rd               |   51 +
 man/dashboard_deutschland_indicators.Rd        |   26 -
 man/ddb_institution_sectors.Rd                 |   20 
 man/ddb_institutions.Rd                        |   50 +
 man/ddb_search.Rd                              |   49 +
 man/destatis_catalogue_cubes.Rd                |   41 +
 man/destatis_catalogue_tables.Rd               |   41 +
 man/destatis_data_cube.Rd                      |   39 +
 man/destatis_data_table.Rd                     |   39 +
 man/deutschlandatlas_query.Rd                  |   50 +
 man/diga_catalog_entries.Rd                    |   52 +-
 man/diga_charge_item_definitions.Rd            |   54 +-
 man/diga_device_definitions.Rd                 |   53 +-
 man/diga_organizations.Rd                      |   52 +-
 man/diga_questionnaire_responses.Rd            |   51 +
 man/diga_questionnaires.Rd                     |   52 +-
 man/dip_bundestag_aktivitaet.Rd                |   54 +-
 man/dip_bundestag_aktivitaet_list.Rd           |   72 ++
 man/dip_bundestag_drucksache.Rd                |   60 ++
 man/dip_bundestag_drucksache_list.Rd           |   78 ++-
 man/dip_bundestag_drucksache_text.Rd           |   43 +
 man/dip_bundestag_drucksache_text_list.Rd      |   79 ++-
 man/dip_bundestag_person.Rd                    |   52 +-
 man/dip_bundestag_person_list.Rd               |   70 ++
 man/dip_bundestag_plenarprotokoll.Rd           |   55 +-
 man/dip_bundestag_plenarprotokoll_list.Rd      |   73 ++
 man/dip_bundestag_plenarprotokoll_text.Rd      |   43 +
 man/dip_bundestag_plenarprotokoll_text_list.Rd |   74 ++
 man/dip_bundestag_vorgang.Rd                   |   63 ++
 man/dip_bundestag_vorgang_list.Rd              |   87 ++-
 man/dip_bundestag_vorgangsposition.Rd          |   66 ++
 man/dip_bundestag_vorgangsposition_list.Rd     |   84 +++
 man/dwd_alpine_forecast_text.Rd                |   23 
 man/dwd_avalanche_warnings.Rd                  |   23 
 man/dwd_coast_warnings.Rd                      |   44 +
 man/dwd_crowd_reports.Rd                       |   48 +
 man/dwd_municipality_warnings.Rd               |   37 +
 man/dwd_sea_warning_text.Rd                    |   23 
 man/dwd_station_overview.Rd                    |   51 +
 man/dwd_warnings_nowcast.Rd                    |   54 +-
 man/eco_visio_counters.Rd                      |   22 
 man/eco_visio_data.Rd                          |   19 
 man/feiertage_list.Rd                          |   21 
 man/handelsregister_search.Rd                  |   38 +
 man/hilfsmittel_nachweisschema.Rd              |   43 +
 man/hilfsmittel_produkt.Rd                     |   60 ++
 man/hilfsmittel_produktart.Rd                  |   53 +-
 man/hilfsmittel_produkte.Rd                    |   54 +-
 man/hilfsmittel_produktgruppe.Rd               |   57 +-
 man/hilfsmittel_tree.Rd                        |   28 -
 man/hilfsmittel_untergruppe.Rd                 |   53 +-
 man/hochwasserzentralen_bundeslaender.Rd       |   23 
 man/hochwasserzentralen_bundesland_geojson.Rd  |   39 +
 man/hochwasserzentralen_bundesland_info.Rd     |   23 
 man/hochwasserzentralen_lagepegel.Rd           |   23 
 man/hochwasserzentralen_pegel_info.Rd          |   23 
 man/jobsuche_logo.Rd                           |   17 
 man/jobsuche_search.Rd                         |   79 ++-
 man/jobsuche_search_app.Rd                     |   79 ++-
 man/klinikatlas_german_places.Rd               |only
 man/klinikatlas_german_states.Rd               |only
 man/klinikatlas_hospital_detail.Rd             |only
 man/klinikatlas_icd_codes.Rd                   |only
 man/klinikatlas_locations.Rd                   |only
 man/klinikatlas_ops_codes.Rd                   |only
 man/klinikatlas_search.Rd                      |only
 man/klinikatlas_states.Rd                      |only
 man/ladestationen_query.Rd                     |   47 +
 man/lebensmittelwarnung_warnings.Rd            |   44 +
 man/luftqualitaet_airquality.Rd                |   43 +
 man/luftqualitaet_airquality_limits.Rd         |   31 +
 man/luftqualitaet_annualbalances.Rd            |   44 +
 man/luftqualitaet_components.Rd                |   45 +
 man/luftqualitaet_measures.Rd                  |   43 +
 man/luftqualitaet_measures_limits.Rd           |   33 +
 man/luftqualitaet_meta.Rd                      |   45 +
 man/luftqualitaet_networks.Rd                  |   44 +
 man/luftqualitaet_scopes.Rd                    |   45 +
 man/luftqualitaet_stationsettings.Rd           |   44 +
 man/luftqualitaet_stationtypes.Rd              |   43 +
 man/luftqualitaet_thresholds.Rd                |   45 +
 man/luftqualitaet_transgressions.Rd            |   45 +
 man/luftqualitaet_transgressiontypes.Rd        |   44 +
 man/marktstammdaten_filters_gaserzeugung.Rd    |   43 +
 man/marktstammdaten_filters_gasverbrauch.Rd    |   43 +
 man/marktstammdaten_filters_stromerzeugung.Rd  |   43 +
 man/marktstammdaten_filters_stromverbrauch.Rd  |   43 +
 man/marktstammdaten_gaserzeugung.Rd            |   57 +-
 man/marktstammdaten_gasverbrauch.Rd            |   57 +-
 man/marktstammdaten_stromerzeugung.Rd          |   58 +-
 man/marktstammdaten_stromverbrauch.Rd          |   57 +-
 man/mudab_parameter_values.Rd                  |   38 +
 man/mudab_parameters.Rd                        |   33 +
 man/mudab_parameters_biologie.Rd               |   33 +
 man/mudab_parameters_biota.Rd                  |   33 +
 man/mudab_parameters_sediment.Rd               |   33 +
 man/mudab_parameters_wasser.Rd                 |   33 +
 man/mudab_plc_measurements.Rd                  |   44 +
 man/mudab_plc_parameters.Rd                    |   36 +
 man/mudab_plc_stations.Rd                      |   34 +
 man/mudab_project_stations.Rd                  |   46 +
 man/mudab_stations.Rd                          |   31 +
 man/nina_archive_mowas.Rd                      |   36 +
 man/nina_archive_mowas_mapping.Rd              |   36 +
 man/nina_covid_infos.Rd                        |   35 +
 man/nina_covid_map.Rd                          |   35 +
 man/nina_covid_rules.Rd                        |   36 +
 man/nina_covid_ticker.Rd                       |   35 +
 man/nina_covid_ticker_message.Rd               |   36 +
 man/nina_dashboard.Rd                          |   39 +
 man/nina_event_code.Rd                         |   36 +
 man/nina_event_codes.Rd                        |   39 +
 man/nina_faqs.Rd                               |   40 +
 man/nina_logo.Rd                               |   36 +
 man/nina_logos.Rd                              |   39 +
 man/nina_mapdata.Rd                            |   46 +
 man/nina_mowas_rss.Rd                          |   36 +
 man/nina_notfalltipps.Rd                       |   40 +
 man/nina_version.Rd                            |   37 +
 man/nina_warning.Rd                            |   36 +
 man/nina_warning_geojson.Rd                    |   36 +
 man/nina_warning_json.Rd                       |   44 +
 man/nina_warnings.Rd                           |   44 +
 man/pegel_online_measurements.Rd               |   25 
 man/pegel_online_measurements_plot.Rd          |   24 
 man/pegel_online_station.Rd                    |   57 +-
 man/pegel_online_stations.Rd                   |   61 ++
 man/pegel_online_timeseries.Rd                 |   42 +
 man/pegel_online_waters.Rd                     |   55 +-
 man/psm_anwendungen.Rd                         |   58 ++
 man/psm_kultur_gruppen.Rd                      |   36 +
 man/psm_mittel.Rd                              |   39 +
 man/psm_schadorg_gruppen.Rd                    |   36 +
 man/psm_stand.Rd                               |   20 
 man/psm_wirkstoffe.Rd                          |   37 +
 man/regionalatlas_query.Rd                     |   31 +
 man/smard_indices.Rd                           |   18 
 man/smard_table.Rd                             |   24 
 man/smard_timeseries.Rd                        |   23 
 man/tagesschau_channels.Rd                     |   29 -
 man/tagesschau_homepage.Rd                     |   57 +-
 man/tagesschau_news.Rd                         |   28 -
 man/tagesschau_search.Rd                       |   29 -
 man/travelwarning_healthcare.Rd                |   33 +
 man/travelwarning_representatives_country.Rd   |   51 +
 man/travelwarning_representatives_germany.Rd   |   51 +
 man/travelwarning_state_names.Rd               |   34 +
 man/travelwarning_warning.Rd                   |   44 +
 man/travelwarning_warnings.Rd                  |   41 +
 tests/testthat/test-dashboard-deutschland.R    |   17 
 tests/testthat/test-endpoints.R                |   18 
 tests/testthat/test-klinikatlas.R              |only
 tests/testthat/test-registry.R                 |    9 
 273 files changed, 11769 insertions(+), 2531 deletions(-)

More information about bunddev at CRAN
Permanent link

Package archeofrag updated to version 1.2.4 with previous version 1.2.3 dated 2025-09-26

Title: Spatial Analysis in Archaeology from Refitting Fragments
Description: Methods to analyse spatial units in archaeology from the refitting relationships between fragments of objects scattered in these units (e.g. stratigraphic layers). Graphs are used to model archaeological observations. The package is mainly based on the 'igraph' package for graph analysis. Functions can: 1) create, manipulate, visualise, and simulate fragmentation graphs, 2) measure the cohesion and admixture of archaeological spatial units, and 3) characterise the topology of a specific set of refitting relationships. A series of published empirical datasets is included. Documentation about 'archeofrag' is provided by a vignette and by the accompanying scientific papers: Plutniak (2021, Journal of Archaeological Science, <doi:10.1016/j.jas.2021.105501>) and Plutniak (2022, Journal of Open Source Software, <doi:10.21105/joss.04335>). This package is complemented by the 'archeofrag.gui' R package, a companion GUI application available at <https://analytics.huma-num.fr/Seba [...truncated...]
Author: Sebastien Plutniak [aut, cre]
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>

Diff between archeofrag versions 1.2.3 dated 2025-09-26 and 1.2.4 dated 2026-04-22

 DESCRIPTION                                 |   10 +--
 MD5                                         |   17 +++---
 NAMESPACE                                   |    1 
 NEWS.md                                     |    6 ++
 R/frag.cohesion.ranking.R                   |only
 R/make_frag_object.R                        |    4 -
 TODO                                        |   19 +++++--
 inst/doc/archeofrag-vignette.html           |   72 ++++++++++++++--------------
 man/frag.cohesion.ranking.Rd                |only
 man/frag.layers.cohesion.Rd                 |    2 
 tests/testthat/test.frag.cohesion.ranking.R |only
 11 files changed, 76 insertions(+), 55 deletions(-)

More information about archeofrag at CRAN
Permanent link

Package WeightIt updated to version 1.7.0 with previous version 1.6.0 dated 2026-03-19

Title: Weighting for Covariate Balance in Observational Studies
Description: Generates balancing weights for causal effect estimation in observational studies with binary, multi-category, or continuous point or longitudinal treatments by easing and extending the functionality of several R packages and providing in-house estimation methods. Available methods include those that rely on parametric modeling, optimization, and machine learning. Also allows for assessment of weights and checking of covariate balance by interfacing directly with the 'cobalt' package. Methods for estimating weighted regression models that take into account uncertainty in the estimation of the weights via M-estimation or bootstrapping are available. See the vignette "Installing Supporting Packages" for instructions on how to install any optional package 'WeightIt' uses, including those that may not be on CRAN.
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

Diff between WeightIt versions 1.6.0 dated 2026-03-19 and 1.7.0 dated 2026-04-22

 WeightIt-1.6.0/WeightIt/R/arg_functions.R                       |only
 WeightIt-1.7.0/WeightIt/DESCRIPTION                             |   18 
 WeightIt-1.7.0/WeightIt/MD5                                     |  137 -
 WeightIt-1.7.0/WeightIt/NAMESPACE                               |    2 
 WeightIt-1.7.0/WeightIt/NEWS.md                                 |   20 
 WeightIt-1.7.0/WeightIt/R/ESS.R                                 |    4 
 WeightIt-1.7.0/WeightIt/R/anova.glm_weightit.R                  |   68 
 WeightIt-1.7.0/WeightIt/R/as.weightit.R                         |   68 
 WeightIt-1.7.0/WeightIt/R/calibrate.R                           |   15 
 WeightIt-1.7.0/WeightIt/R/coxph_weightit.R                      |only
 WeightIt-1.7.0/WeightIt/R/dist_functions.R                      |   28 
 WeightIt-1.7.0/WeightIt/R/functions_for_processing.R            |  291 +-
 WeightIt-1.7.0/WeightIt/R/get_w_from_ps.R                       |   29 
 WeightIt-1.7.0/WeightIt/R/glm_weightit-methods.R                |  153 -
 WeightIt-1.7.0/WeightIt/R/glm_weightit.R                        |  222 --
 WeightIt-1.7.0/WeightIt/R/glm_weightit_helpers.R                | 1097 ++++------
 WeightIt-1.7.0/WeightIt/R/make_full_rank.R                      |    8 
 WeightIt-1.7.0/WeightIt/R/multinom_weightit.R                   |  184 +
 WeightIt-1.7.0/WeightIt/R/ordinal_weightit.R                    |  189 +
 WeightIt-1.7.0/WeightIt/R/plot.weightit.R                       |    4 
 WeightIt-1.7.0/WeightIt/R/predict.glm_weightit.R                |   42 
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 WeightIt-1.7.0/WeightIt/R/summary.weightit.R                    |   53 
 WeightIt-1.7.0/WeightIt/R/treat.R                               |    2 
 WeightIt-1.7.0/WeightIt/R/trim.R                                |   42 
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 WeightIt-1.7.0/WeightIt/R/weightit.R                            |  115 -
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 WeightIt-1.7.0/WeightIt/R/weightit2bart.R                       |    6 
 WeightIt-1.7.0/WeightIt/R/weightit2cbps.R                       |  238 +-
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 WeightIt-1.7.0/WeightIt/R/weightit2ebal.R                       |  801 +++----
 WeightIt-1.7.0/WeightIt/R/weightit2energy.R                     |  136 -
 WeightIt-1.7.0/WeightIt/R/weightit2gbm.R                        |   76 
 WeightIt-1.7.0/WeightIt/R/weightit2glm.R                        |   91 
 WeightIt-1.7.0/WeightIt/R/weightit2ipt.R                        |   22 
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Package tweedie updated to version 3.0.19 with previous version 3.0.17 dated 2026-02-27

Title: Evaluation of Tweedie Exponential Family Models
Description: Maximum likelihood computations for Tweedie families, including the series expansion (Dunn and Smyth, 2005; <doi:10.1007/s11222-005-4070-y>) and the Fourier inversion (Dunn and Smyth, 2008; <doi:10.1007/s11222-007-9039-6>), and related methods.
Author: Peter K. Dunn [cre, aut]
Maintainer: Peter K. Dunn <pdunn2@usc.edu.au>

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Package mop updated to version 0.1.4 with previous version 0.1.3 dated 2025-04-24

Title: Mobility Oriented-Parity Metric
Description: A set of tools to perform multiple versions of the Mobility Oriented-Parity metric. This multivariate analysis helps to characterize levels of dissimilarity between a set of conditions of reference and another set of conditions of interest. If predictive models are transferred to conditions different from those over which models were calibrated (trained), this metric helps to identify transfer conditions that differ substantially from those of calibration. These tools are implemented following principles proposed in Owens et al. (2013) <doi:10.1016/j.ecolmodel.2013.04.011>, and expanded to obtain more detailed results that aid in interpretation as in Cobos et al. (2024) <doi:10.21425/fob.17.132916>.
Author: Marlon E. Cobos [aut, cre] , Hannah L. Owens [aut] , Jorge Soberon [aut] , A. Townsend Peterson [aut]
Maintainer: Marlon E. Cobos <manubio13@gmail.com>

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Package metacore updated to version 0.3.0 with previous version 0.2.1 dated 2025-07-21

Title: A Centralized Metadata Object Focus on Clinical Trial Data Programming Workflows
Description: Create an immutable container holding metadata for the purpose of better enabling programming activities and functionality of other packages within the clinical programming workflow.
Author: Liam Hobby [aut, cre], Christina Fillmore [aut] , Bill Denney [aut], Maya Gans [aut] , Ashley Tarasiewicz [aut], Mike Stackhouse [aut] , Tamara Senior [aut], GSK/Atorus JPT [cph, fnd]
Maintainer: Liam Hobby <liam.f.hobby@gsk.com>

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Package jose updated to version 2.0.0 with previous version 1.2.1 dated 2024-10-04

Title: JavaScript Object Signing and Encryption
Description: Read and write JSON Web Keys (JWK, rfc7517), generate and verify JSON Web Signatures (JWS, rfc7515) and encode/decode JSON Web Tokens (JWT, rfc7519) <https://datatracker.ietf.org/wg/jose/documents/>. These standards provide modern signing and encryption formats that are natively supported by browsers via the JavaScript WebCryptoAPI <https://www.w3.org/TR/webcrypto/#jose>, and used by services like OAuth 2.0, LetsEncrypt, and Github Apps.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package ds4psy updated to version 1.3.0 with previous version 1.2.0 dated 2025-11-05

Title: Data Science for Psychologists
Description: All datasets and functions required for the examples and exercises of the book "Data Science for Psychologists" (by Hansjoerg Neth, Konstanz University, 2026, <doi:10.5281/zenodo.7229812>), freely available at <https://hneth-ds4psy.share.connect.posit.cloud/>. The book and corresponding courses introduce principles and methods of data science to students of psychology and other biological or social sciences. The 'ds4psy' package primarily provides datasets, but also functions for data generation and manipulation (e.g., of text and time data) and graphics that are used in the book and its exercises. All functions included in 'ds4psy' are designed to be explicit and instructive, rather than efficient or elegant.
Author: Hansjoerg Neth [aut, cre]
Maintainer: Hansjoerg Neth <h.neth@uni.kn>

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Package detzrcr updated to version 0.3.2 with previous version 0.3.1 dated 2020-07-23

Title: Compare Detrital Zircon Suites
Description: Compare detrital zircon suites by uploading univariate, U-Pb age, or bivariate, U-Pb age and Lu-Hf data, in a 'shiny'-based user-interface. Outputs publication quality figures using 'ggplot2', and tables of statistics currently in use in the detrital zircon geochronology community.
Author: Magnus Kristoffersen [aut, cre]
Maintainer: Magnus Kristoffersen <magnus.kristoffersen@geo.uio.no>

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Package pkgload updated to version 1.5.2 with previous version 1.5.1 dated 2026-04-01

Title: Simulate Package Installation and Attach
Description: Simulates the process of installing a package and then attaching it. This is a key part of the 'devtools' package as it allows you to rapidly iterate while developing a package.
Author: Hadley Wickham [aut], Winston Chang [aut], Jim Hester [aut], Lionel Henry [aut, cre], Posit Software, PBC [cph, fnd], R Core team [ctb]
Maintainer: Lionel Henry <lionel@posit.co>

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Package ncdfgeom updated to version 1.2.2 with previous version 1.1.6 dated 2024-01-25

Title: 'NetCDF' Geometry and Time Series
Description: Tools to create time series and geometry 'NetCDF' files.
Author: David Blodgett [aut, cre], Luke Winslow [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package htmlTable updated to version 2.5.0 with previous version 2.4.3 dated 2024-07-20

Title: Advanced Tables for Markdown/HTML
Description: Tables with state-of-the-art layout elements such as row spanners, column spanners, table spanners, zebra striping, and more. While allowing advanced layout, the underlying css-structure is simple in order to maximize compatibility with common word processors. The package also contains a few text formatting functions that help outputting text compatible with HTML/LaTeX.
Author: Max Gordon [aut, cre], Stephen Gragg [aut], Peter Konings [aut]
Maintainer: Max Gordon <max@gforge.se>

Diff between htmlTable versions 2.4.3 dated 2024-07-20 and 2.5.0 dated 2026-04-22

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Tue, 21 Apr 2026

Package eva3dm updated to version 1.20 with previous version 1.11 dated 2025-06-02

Title: Evaluation of 3D Meteorological and Air Quality Models
Description: Provides tools for post-process, evaluate and visualize results from 3d Meteorological and Air Quality models against point observations (i.e. surface stations) and grid (i.e. satellite) observations.
Author: Daniel Schuch [aut, cre]
Maintainer: Daniel Schuch <underschuch@gmail.com>

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Package MIRDD updated to version 0.2.2 with previous version 0.1.0 dated 2026-03-19

Title: Diagnostic Tool by Multiple Imputation for Regression Discontinuity Designs
Description: Estimates average treatment effects at the cutoff based on sharp regression discontinuity designs (RDD) and multiple imputation regression discontinuity designs (MIRDD). It provides diagnostic tools for RDD by comparing results with those from MIRDD, as proposed in Takahashi (2023) <doi:10.1080/03610918.2021.1960374>. The package includes datasets from Takahashi (2023).
Author: Masayoshi Takahashi [aut, cre]
Maintainer: Masayoshi Takahashi <mtakahashi615@g.chuo-u.ac.jp>

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Package funMoDisco updated to version 1.1.5 with previous version 1.1.0 dated 2025-11-07

Title: Motif Discovery in Functional Data
Description: Efficiently implementing two complementary methodologies for discovering motifs in functional data: ProbKMA and FunBIalign. Cremona and Chiaromonte (2023) "Probabilistic K-means with Local Alignment for Clustering and Motif Discovery in Functional Data" <doi:10.1080/10618600.2022.2156522> is a probabilistic K-means algorithm that leverages local alignment and fuzzy clustering to identify recurring patterns (candidate functional motifs) across and within curves, allowing different portions of the same curve to belong to different clusters. It includes a family of distances and a normalization to discover various motif types and learns motif lengths in a data-driven manner. It can also be used for local clustering of misaligned data. Di Iorio, Cremona, and Chiaromonte (2023) "funBIalign: A Hierarchical Algorithm for Functional Motif Discovery Based on Mean Squared Residue Scores" <doi:10.48550/arXiv.2306.04254> applies hierarchical agglomerative clustering with a functional g [...truncated...]
Author: Marzia Angela Cremona [aut], Francesca Chiaromonte [aut], Jacopo Di Iorio [aut, cre], Niccolo Feresini [aut], Riccardo Lazzarini [aut]
Maintainer: Jacopo Di Iorio <jacopo.di.iorio@emory.edu>

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Package nhppp updated to version 1.0.5 with previous version 1.0.2 dated 2025-01-09

Title: Simulating Nonhomogeneous Poisson Point Processes
Description: Simulates events from one dimensional nonhomogeneous Poisson point processes (NHPPPs) as per Trikalinos and Sereda (2024, <doi:10.48550/arXiv.2402.00358> and 2024, <doi:10.1371/journal.pone.0311311>). Functions are based on three algorithms that provably sample from a target NHPPP: the time-transformation of a homogeneous Poisson process (of intensity one) via the inverse of the integrated intensity function (Cinlar E, "Theory of stochastic processes" (1975, ISBN:0486497996)); the generation of a Poisson number of order statistics from a fixed density function; and the thinning of a majorizing NHPPP via an acceptance-rejection scheme (Lewis PAW, Shedler, GS (1979) <doi:10.1002/nav.3800260304>).
Author: Thomas Trikalinos [aut, cre, cph] , Yuliia Sereda [aut]
Maintainer: Thomas Trikalinos <thomas_trikalinos@brown.edu>

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Package xpose.xtras updated to version 0.1.4 with previous version 0.1.3 dated 2026-04-18

Title: Extra Functionality for the 'xpose' Package
Description: Adding some at-present missing functionality, or functions unlikely to be added to the base 'xpose' package. This includes some diagnostic plots that have been missing in translation from 'xpose4', but also some useful features that truly extend the capabilities of what can be done with 'xpose'. These extensions include the concept of a set of 'xpose' objects, and diagnostics for likelihood-based models.
Author: John Prybylski [aut, cre, cph]
Maintainer: John Prybylski <jprybylski@gmail.com>

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Package taxodist updated to version 0.2.0 with previous version 0.1.0 dated 2026-03-23

Title: Taxonomic Distance and Phylogenetic Lineage Computation
Description: Computes phylogenetic distances between any two taxa using hierarchical lineage data retrieved from The Taxonomicon <http://taxonomicon.taxonomy.nl>, a comprehensive curated classification of all life based on Systema Naturae 2000 (Brands, 1989 <http://taxonomicon.taxonomy.nl>). Given any two taxon names, retrieves their full lineages, identifies the most recent common ancestor (MRCA), and computes a dissimilarity index based on lineage depth. Outputs native dist objects, enabling direct integration with the R statistical ecosystem for hierarchical clustering, principal coordinate analysis (PCoA), and multivariate ecological analyses. Supports individual distance queries, pairwise distance matrices, clade filtering, and lineage utilities.
Author: Rodrigo Fonseca Villa [aut, cre]
Maintainer: Rodrigo Fonseca Villa <rodrigo03.villa@gmail.com>

Diff between taxodist versions 0.1.0 dated 2026-03-23 and 0.2.0 dated 2026-04-21

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Package PGRdup updated to version 0.3.0 with previous version 0.2.4.0 dated 2025-12-14

Title: Discover Probable Duplicates in Plant Genetic Resources Collections
Description: Provides functions to aid the identification of probable/possible duplicates in Plant Genetic Resources (PGR) collections using 'passport databases' comprising of information records of each constituent sample. These include methods for cleaning the data, creation of a searchable Key Word in Context (KWIC) index of keywords associated with sample records and the identification of nearly identical records with similar information by fuzzy, phonetic and semantic matching of keywords.
Author: J. Aravind [aut, cre] , J. Radhamani [aut], Kalyani Srinivasan [aut], B. Ananda Subhash [aut], Rishi Kumar Tyagi [aut], ICAR-NBGPR [cph] , Maurice Aubrey [ctb] , Kevin Atkinson [ctb] , Lawrence Philips [ctb]
Maintainer: J. Aravind <j.aravind@icar.org.in>

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Package mcount updated to version 1.0.1 with previous version 1.0.0 dated 2022-03-11

Title: Marginalized Count Regression Models
Description: Implementation of marginalized models for zero-inflated count data. The package provides tools to estimate marginalized count regression models for direct inference on the effect of covariates on the marginal mean of the outcome. The methods include the marginalized zero-inflated Poisson (MZIP) model described in Long et al. (2014) <doi:10.1002/sim.6293> and the marginalized zero- and N-inflated binomial (MZNIB) model, which extends marginalized modeling to fractional count outcomes with boundary inflation at zero and the upper limit.
Author: Zhengyang Zhou [aut, cre], Dateng Li [aut], David Huh [aut], Minge Xie [aut], Eun-Young Mun [aut]
Maintainer: Zhengyang Zhou <zhengyang.zhou@unthsc.edu>

Diff between mcount versions 1.0.0 dated 2022-03-11 and 1.0.1 dated 2026-04-21

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Package localScore updated to version 2.0.5 with previous version 2.0.3 dated 2025-04-24

Title: Package for Sequence Analysis by Local Score
Description: Functionalities for calculating the local score and calculating statistical relevance (p-value) to find a local Score in a sequence of given distribution (D. Robelin, S. Déjean, S. Mercier (2025) <doi:10.24072/pcjournal.650> ; S. Mercier and J.-J. Daudin (2001) <https://hal.science/hal-00714174/>) ; S. Karlin and S. Altschul (1990) <https://pmc.ncbi.nlm.nih.gov/articles/PMC53667/> ; S. Mercier, D. Cellier and F. Charlot (2003) <https://hal.science/hal-00937529v1/> ; A. Lagnoux, S. Mercier and P. Valois (2017) <doi:10.1093/bioinformatics/btw699> ).
Author: Sebastian Simon [aut], Chris Verschelden [aut], Charly Marty [aut], David Robelin [aut, cre], Sabine Mercier [aut], Sebastien Dejean [aut], The authors of Eigen the library for the included version of Eigen [cph]
Maintainer: David Robelin <david.robelin@inrae.fr>

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Package ISAR updated to version 1.0.5 with previous version 1.0.3 dated 2026-03-26

Title: Introduction to Sports Analytics using R (ISAR) Data
Description: We provide data sets used in the textbook "Introduction to Sports Analytics using R" by Elmore and Urbaczweski (2025).
Author: Ryan Elmore [cre, aut]
Maintainer: Ryan Elmore <Ryan.Elmore@du.edu>

Diff between ISAR versions 1.0.3 dated 2026-03-26 and 1.0.5 dated 2026-04-21

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Package germinationmetrics updated to version 0.1.10 with previous version 0.1.9 dated 2025-12-14

Title: Seed Germination Indices and Curve Fitting
Description: Provides functions to compute various germination indices such as germinability, median germination time, mean germination time, mean germination rate, speed of germination, Timson's index, germination value, coefficient of uniformity of germination, uncertainty of germination process, synchrony of germination etc. from germination count data. Includes functions for fitting cumulative seed germination curves using four-parameter hill function and computation of associated parameters. See the vignette for more, including full list of citations for the methods implemented.
Author: J. Aravind [aut, cre] , S. Vimala Devi [aut], J. Radhamani [aut], Sherry Rachel Jacob [aut], Kalyani Srinivasan [aut], ICAR-NBGPR [cph]
Maintainer: J. Aravind <j.aravind@icar.org.in>

Diff between germinationmetrics versions 0.1.9 dated 2025-12-14 and 0.1.10 dated 2026-04-21

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New package zoteR with initial version 1.0.0
Package: zoteR
Title: R Interface to 'Zotero' via Better BibTeX
Version: 1.0.0
Description: Connects R to 'Zotero' through the 'Better BibTeX' for 'Zotero' connector <https://retorque.re/zotero-better-bibtex/>. Provides functions to insert in-text citations and bibliography entries directly into documents, detect citations already present in R Markdown and Quarto files, and synchronise bibliography files. Includes an 'RStudio addin' for interactive use.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: httr2, jsonlite, rstudioapi, clipr, yaml, tools
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-04-19 15:12:47 UTC; roshan
Author: Roshan Paladugu [aut, cre]
Maintainer: Roshan Paladugu <rpaladugu@sassyspace.xyz>
Repository: CRAN
Date/Publication: 2026-04-21 20:10:02 UTC

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New package xtife with initial version 0.1.3
Package: xtife
Title: Interactive Fixed Effects Estimator for Balanced Panel Data
Version: 0.1.3
Date: 2026-04-21
Description: Implements the interactive fixed effects ('IFE') panel estimator of Bai (2009) <doi:10.3982/ECTA6135> with analytical standard errors ('homoskedastic', 'HC1' robust, and cluster-robust by unit). Supports asymptotic bias correction for large panels (Bai 2009) and a dynamic extension for predetermined regressors (Moon and Weidner 2017 <doi:10.1017/S0266466615000328>). Includes information-criterion-based factor number selection (Bai and Ng 2002 <doi:10.1111/1468-0262.00273>). All computations use base R only with no external dependencies.
License: GPL-2 | GPL-3
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/Rickchen0910/xtife
BugReports: https://github.com/Rickchen0910/xtife/issues
NeedsCompilation: no
Packaged: 2026-04-21 11:35:09 UTC; apple
Author: Binzhi Chen [aut, cre]
Maintainer: Binzhi Chen <Binzhi.Chen9@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 21:10:02 UTC

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New package symbolicr with initial version 1.0.0
Package: symbolicr
Title: Symbolic Regression Framework
Description: Find non-linear formulas that fits your input data. You can systematically explore and memorize the possible formulas and it's cross-validation performance, in an incremental fashion. Three main interoperable search functions are available: 1) random.search() performs a random exploration, 2) genetic.search() employs a genetic optimization algorithm, 3) comb.search() combines best results of the first two. For more details see Tomasoni et al. (2026) <doi:10.1208/s12248-026-01232-z>.
Version: 1.0.0
URL: https://github.com/cosbi-research/symbolicr
Encoding: UTF-8
Imports: data.table, GA, gtools, RcppAlgos, stats, stringr
Suggests: knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
License: AGPL (>= 3)
BugReports: https://github.com/cosbi-research/symbolicr/issues
NeedsCompilation: no
Packaged: 2026-04-21 09:39:01 UTC; tomasoni
Author: Danilo Tomasoni [aut, cre] , Fondazione The Microsoft Research - University of Trento Centre for Computational and Systems Biology COSBI [cph, fnd]
Maintainer: Danilo Tomasoni <tomasoni@cosbi.eu>
Repository: CRAN
Date/Publication: 2026-04-21 21:00:02 UTC

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New package rmet with initial version 0.1.0
Package: rmet
Title: Download and Read Brazilian Meteorological Data from INMET
Version: 0.1.0
Description: Automates the download and processing of historical weather data from the Brazilian National Institute of Meteorology (INMET). It resolves formatting inconsistencies in raw CSV files across different years, removes structural artifacts, standardizes column names, converts timestamps to local Brazilian time zones, and outputs tidy data frames ready for analysis. Data are retrieved from <https://portal.inmet.gov.br/dadoshistoricos>.
Depends: R (>= 4.0.0)
Encoding: UTF-8
LazyData: true
Language: en-US
License: GPL (>= 3)
URL: https://github.com/rodrigosqrt3/rmet
BugReports: https://github.com/rodrigosqrt3/rmet/issues
Imports: curl
Suggests: spelling, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-21 19:00:40 UTC; rodri
Author: Rodrigo Fonseca Villa [aut, cre]
Maintainer: Rodrigo Fonseca Villa <rodrigo03.villa@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 21:22:09 UTC

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New package ordered with initial version 0.1.0
Package: ordered
Title: 'parsnip' Engines and Wrappers for Ordinal Classification Models
Version: 0.1.0
Description: Bindings, methods, and tuners for using ordinal classification models with the 'parsnip' and 'dials' packages. These include the regularized elastic net ordinal regression of Wurm, Hanlon, and Rathouz (2021) <doi:10.18637/jss.v099.i06> in 'ordinalNet', the ordinal classification trees of Galimberti, Soffritti, and Di Maso (2012) <doi:10.18637/jss.v047.i10> in 'rpartScore', and the latent variable ordinal forests of Hornung (2020) <doi:10.1007/s00357-018-9302-x> in 'ordinalForest'.
License: MIT + file LICENSE
Depends: parsnip (>= 1.5)
Imports: cli, dials (>= 1.4.3), purrr, rlang (>= 1.1.4), tibble, tidyr
Suggests: dplyr, MASS, ordinalNet, VGAM, rpartScore, ordinalForest, QSARdata, spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-04-21 20:28:09 UTC; jasoncorybrunson
Author: Max Kuhn [aut] , Jason Cory Brunson [aut, cre] , Posit Software PBC [cph]
Maintainer: Jason Cory Brunson <cornelioid@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 21:22:15 UTC

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New package lorbridge with initial version 0.1.0
Package: lorbridge
Title: Bridging Log-Odds Ratios and Correspondence Analysis via Closeness-of-Concordance Measures
Version: 0.1.0
Date: 2026-04-19
Description: Provides a unified analytical workflow that bridges conventional binary and multinomial logistic regression with singly-ordered (SONSCA) and doubly-ordered (DONSCA) nonsymmetric correspondence analysis. Log-odds ratios (LORs) from logistic regression are re-expressed as cosine theta estimates and closeness-of-concordance measures (CCMs) -- including Yule's Q, Yule's Y, and r_meta -- on the familiar [-1, +1] scale introduced by Kim and Grochowalski (2019) <doi:10.3758/s13428-018-1161-1>. Bootstrap confidence intervals for cosine theta are provided throughout. The package is intended to help clinical and medical researchers interpret association strength from logistic regression in an intuitive, correlation-like metric, and to connect conventional regression results with geometric correspondence analysis visualisations.
License: GPL (>= 3)
URL: https://github.com/sekangakim/lorbridge
BugReports: https://github.com/sekangakim/lorbridge/issues
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1.0)
Imports: CAvariants (>= 5.5), nnet (>= 7.3), stats
Suggests: dplyr (>= 1.1.0), ggplot2 (>= 3.4.0), ggrepel (>= 0.9.0), graphics, tidyr (>= 1.3.0), knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-21 20:46:34 UTC; sekangkim
Author: Se-Kang Kim [aut, cre]
Maintainer: Se-Kang Kim <se-kang.kim@bcm.edu>
Repository: CRAN
Date/Publication: 2026-04-21 21:22:21 UTC

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New package funcml with initial version 0.7.1
Package: funcml
Title: Functional Machine Learning Framework
Version: 0.7.1
Depends: R (>= 3.5.0)
Description: A compact and explicit machine learning framework for supervised learning, resampling-based evaluation, hyperparameter tuning, learner comparison, interpretation, and plug-in g-computation. The package uses standard formulas for model specification and provides stable S3 interfaces for fitting, evaluation, tuning, interpretation, and causal estimation across a learner registry with multiple backend engines. Implemented interpretation methods build on established approaches such as permutation-based variable importance, partial dependence, individual conditional expectation, accumulated local effects, SHAP, and LIME; see Friedman (2001) <doi:10.1214/aos/1013203451>, Goldstein et al. (2015) <doi:10.1080/10618600.2014.907095>, Apley and Zhu (2020) <doi:10.1111/rssb.12377>, Lundberg and Lee (2017) <doi:10.48550/arXiv.1705.07874>, and Ribeiro et al. (2016) <doi:10.48550/arXiv.1602.04938>. The framework is intentionally opinionated: preprocessing is expected to [...truncated...]
License: GPL-3
URL: https://github.com/ielbadisy/funcml
BugReports: https://github.com/ielbadisy/funcml/issues
Encoding: UTF-8
LazyData: true
Imports: stats, utils, methods, ggplot2, functionals, grDevices, tools, MASS, mgcv, nnet, rpart, glmnet, ranger, e1071, randomForest, gbm, C50, kknn, earth, naivebayes, mda, ada, pls, partykit, dbarts, xgboost, lightgbm, shapviz
Suggests: testthat (>= 3.1.0), knitr, rmarkdown, roxygen2, gggenes, ggfittext
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-21 10:35:39 UTC; imad-el-badisy
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 21:12:15 UTC

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New package debrief with initial version 0.1.0
Package: debrief
Title: Text-Based Summaries for 'profvis' Profiling Data
Version: 0.1.0
Description: Provides text-based summaries and analysis tools for 'profvis' profiling output. Designed for terminal workflows and artificial intelligence (AI) agent consumption, offering views including hotspot analysis, call trees, source context, caller/callee relationships, and memory allocation breakdowns.
License: MIT + file LICENSE
URL: https://github.com/r-lib/debrief, https://r-lib.github.io/debrief/
BugReports: https://github.com/r-lib/debrief/issues
Depends: R (>= 4.1)
Suggests: knitr, profvis, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-21 19:06:03 UTC; emilhvitfeldt
Author: Emil Hvitfeldt [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>
Repository: CRAN
Date/Publication: 2026-04-21 21:22:26 UTC

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New package ZonationR with initial version 1.0.1
Package: ZonationR
Title: Interface to 'Zonation' for Reproducible Prioritization Workflows
Version: 1.0.1
Description: An interface to 'Zonation' software, enabling users to run spatial conservation prioritization workflows in 'R'. It streamlines input preparation, execution, and post-processing, while supporting reproducibility and lowering the entry barrier for learning, teaching, and research in conservation planning. The methods implemented in 'Zonation' are described in Moilanen et al. (2022) <doi:10.1111/2041-210X.13819>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, ggplot2, ggspatial, rlang, terra, tidyr, utils, viridis
Suggests: knitr, mockery, rmarkdown, testthat (>= 3.0.0), withr
URL: https://github.com/thiago-cav/ZonationR, https://thiago-cav.github.io/ZonationR/
BugReports: https://github.com/thiago-cav/ZonationR/issues
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-04-17 10:38:10 UTC; thiag
Author: Thiago Cavalcante [aut, cre] , Bruno Ribeiro [aut] , Karlo Guidoni-Martins [aut] , Heini Kujala [aut]
Maintainer: Thiago Cavalcante <thiagocav.ferreira@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 19:22:08 UTC

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New package XSRecencyX with initial version 0.1.0
Package: XSRecencyX
Title: HIV Incidence Estimation using Recency Testing Data with Population Adjustment
Version: 0.1.0
Description: Tools for estimating HIV incidence using cross-sectional recency testing data, adjusting for internal and external target populations and supporting subtype-specific parameters. The statistical methodology implemented builds on the framework described in Wang, Duerr, and Gao(2025) <doi:10.1002/sim.70216>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0)
Imports: data.table, dplyr, geepack, purrr, magrittr, methods
NeedsCompilation: no
Packaged: 2026-04-18 20:31:46 UTC; sirongli
Author: Sirong Li [aut], Fei Gao [aut, cre] , Marlena Bannick [aut]
Maintainer: Fei Gao <fgao@fredhutch.org>
Repository: CRAN
Date/Publication: 2026-04-21 20:02:15 UTC

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New package wdsmatch with initial version 0.1.1
Package: wdsmatch
Title: Weighted Double Score Matching for Survey-Weighted Causal Inference
Version: 0.1.1
Description: Implements weighted double score matching (WDSM) for estimating population-level causal effects from complex survey data. Combines propensity scores and prognostic scores with survey design weights for matching, survey-weighted imputation within match sets, and Hajek normalization to target the population average treatment effect (PATE) and the population average treatment effect on the treated (PATT). Supports both retrospective (treatment-dependent) and prospective (treatment-independent) sampling designs. Achieves double robustness: consistent estimation when either the propensity score or prognostic score model is correctly specified. Provides polynomial sieve bias correction and linearization-based multinomial bootstrap variance estimation that preserves the survey-weighted matching structure without re-matching. Methods are described in Zeng, Tong, Tong, Lu, Mukherjee, and Li (2026, under review) "Where to weight? Estimating population causal effects with weighted double score ma [...truncated...]
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
URL: https://github.com/ykzeng-yale/wdsmatch
BugReports: https://github.com/ykzeng-yale/wdsmatch/issues
NeedsCompilation: no
Packaged: 2026-04-16 16:21:58 UTC; yukang
Author: Yukang Zeng [aut, cre], Guangyu Tong [aut], Jiaqi Tong [aut], Haidong Lu [aut], Bhramar Mukherjee [aut], Fan Li [aut]
Maintainer: Yukang Zeng <ykzeng2019@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 19:00:02 UTC

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New package wdiexplorer with initial version 0.1.2
Package: wdiexplorer
Title: Explore World Development Indicators Data
Version: 0.1.2
Description: Provides a workflow for exploring World Development Indicators (WDI) country-level panel data. It downloads WDI data using the 'WDI' package and computes diagnostic indices that capture the temporal behaviour of the data by incorporating the grouping structure of the data. The set of diagnostic indices implemented includes variation features, trend and shape features, and sequential temporal features. This method is described in Akinfenwa, Cahill, and Hurley (2025) "'wdiexplorer': An R package Designed for Exploratory Analysis of World Development Indicators (WDI) Data" <doi:10.48550/arXiv.2511.07027>. We adapt the clustering diagnostics and visualisation methodology described in Rousseeuw (1987) <doi:10.1016/0377-0427(87)90125-7> and selected time series features from Hyndman and Athanasopoulos (2021) "Forecasting: Principles and Practice" <https://otexts.com/fpp3/>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, tidyr, tidyselect, tibble, tsibble, rlang, WDI, cluster, fabletools, feasts, forcats, ggplot2, ggiraph, ggtext, ggdist, scales, patchwork, ggnewscale
Suggests: knitr, rmarkdown, naniar, testthat
Depends: R (>= 4.1.0)
LazyData: true
URL: https://github.com/Oluwayomi-Olaitan/wdiexplorer
BugReports: https://github.com/Oluwayomi-Olaitan/wdiexplorer/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-20 18:43:20 UTC; yombless
Author: Oluwayomi Akinfenwa [aut, cre], Niamh Cahill [aut, ths], Catherine Hurley [aut, ths]
Maintainer: Oluwayomi Akinfenwa <oluwayomiakinfenwa@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 20:40:02 UTC

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New package wcc with initial version 0.3.1
Encoding: UTF-8
Package: wcc
Date: 2026-04-02
Title: Windowed Cross Correlation
Maintainer: Steven Boker <smb3u@virginia.edu>
Author: Steven Boker [aut, cre], Minquan Xu [aut], Sareena Chadha [aut], Christopher Welker [aut], Jingyun Wu [aut], Pascal Deboeck [aut]
Description: Calculates Windowed Cross Correlation for pairs of time series. Provides support for surrogate analysis for nonparametric test of significance. Calculates aggregate statistics over a range of parameter values. Plots the results as Windowed Cross Correlation plots and heat maps. The method is described in "Boker, S. M., Rotondo, J. L., Xu, M., & King, K. (2002). Windowed cross-correlation and peak picking for the analysis of variability in the association between behavioral time series. Psychological Methods, 7(3), 338."
SystemRequirements: GNU make
ByteCompile: no
Language: en-US
License: Apache License (== 2.0)
Depends: R (>= 4.1.0)
Imports: pheatmap, grid, gtable
LazyLoad: yes
Biarch: true
Version: 0.3.1
NeedsCompilation: yes
Packaged: 2026-04-16 16:26:50 UTC; sboker
Repository: CRAN
Date/Publication: 2026-04-21 18:50:02 UTC

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New package vectra with initial version 0.5.1
Package: vectra
Title: Columnar Query Engine for Larger-than-RAM Data
Version: 0.5.1
Description: A minimal columnar query engine with lazy execution on datasets larger than RAM. Provides 'dplyr'-like verbs (filter(), select(), mutate(), group_by(), summarise(), joins, window functions) and common aggregations (n(), sum(), mean(), min(), max(), sd(), first(), last()) backed by a pure C11 pull-based execution engine and a custom on-disk format ('.vtr').
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
SystemRequirements: GNU make
Encoding: UTF-8
Imports: tidyselect, rlang
Suggests: bit64, knitr, openxlsx2, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://gillescolling.com/vectra/, https://github.com/gcol33/vectra
BugReports: https://github.com/gcol33/vectra/issues
NeedsCompilation: yes
Packaged: 2026-04-20 09:16:33 UTC; Gilles Colling
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 20:00:02 UTC

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New package umweltapir with initial version 0.1.0
Package: umweltapir
Title: Access Umwelt.Info API
Version: 0.1.0
Encoding: UTF-8
Description: Provides an R-based access to the datasets including their resources from the portal <https://umwelt.info>. The package allows for an easy integration of those datasets into your R-based workflows. The functionality of the package mirrors the web-based access as provided at <https://umwelt.info>. You can use the same queries and get the same datasets by accessing our API.
URL: https://gitlab.opencode.de/umwelt-info/packages/-/tree/main/umweltapir?ref_type=heads
BugReports: https://gitlab.opencode.de/umwelt-info/packages/-/work_items
License: MIT + file LICENSE | Apache License 2.0
Imports: httr2, jsonlite, tidyr
Suggests: testthat (>= 3.0.0), dplyr
NeedsCompilation: no
Packaged: 2026-04-20 14:24:42 UTC; ubuntu
Author: Johannes Vogel [aut, cre], Maximilian Berthold [aut], Luise Quoss [ctb], Nationales Zentrum fuer Umwelt- und Naturschutzinformationen [cph]
Maintainer: Johannes Vogel <johannes.vogel@uba.de>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-04-21 20:20:02 UTC

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New package truncProxy with initial version 0.1.0
Package: truncProxy
Title: Proximal Weighting Estimation for Dependent Left Truncation
Version: 0.1.0
Description: Implements proximal weighting estimators for the expectation of an arbitrarily transformed event time under dependent left truncation, with optional inverse probability of censoring weighting to handle right censoring. The methods leverage proxy variables to handle dependent left truncation in settings where dependence-inducing factors are not fully observed.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Rcpp, survival
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0)
URL: https://github.com/wangyuyao98/truncProxy_weighting, https://arxiv.org/pdf/2512.21283
BugReports: https://github.com/wangyuyao98/truncProxy_weighting/issues
NeedsCompilation: yes
Packaged: 2026-04-19 18:10:14 UTC; yuyaowang
Author: Yuyao Wang [aut, cre], Andrew Ying [aut], Ronghui Xu [aut]
Maintainer: Yuyao Wang <yuw079@ucsd.edu>
Repository: CRAN
Date/Publication: 2026-04-21 20:40:09 UTC

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Package sundialr readmission to version 0.1.7 with previous version 0.1.6.2 dated 2025-01-13

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]
Maintainer: Satyaprakash Nayak <satyaprakash.nayak@gmail.com>

This is a re-admission after prior archival of version 0.1.6.2 dated 2025-01-13

Diff between sundialr versions 0.1.6.2 dated 2025-01-13 and 0.1.7 dated 2026-04-21

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 sundialr-0.1.7/sundialr/inst/include/sunlinsol/sunlinsol_band.h                        |   10 
 sundialr-0.1.7/sundialr/inst/include/sunlinsol/sunlinsol_dense.h                       |   10 
 sundialr-0.1.7/sundialr/inst/include/sunlinsol/sunlinsol_pcg.h                         |   10 
 sundialr-0.1.7/sundialr/inst/include/sunlinsol/sunlinsol_spbcgs.h                      |   14 
 sundialr-0.1.7/sundialr/inst/include/sunlinsol/sunlinsol_spfgmr.h                      |   16 
 sundialr-0.1.7/sundialr/inst/include/sunlinsol/sunlinsol_spgmr.h                       |   14 
 sundialr-0.1.7/sundialr/inst/include/sunlinsol/sunlinsol_sptfqmr.h                     |   14 
 sundialr-0.1.7/sundialr/inst/include/sunmatrix/sunmatrix_band.h                        |   15 
 sundialr-0.1.7/sundialr/inst/include/sunmatrix/sunmatrix_dense.h                       |   15 
 sundialr-0.1.7/sundialr/inst/include/sunmatrix/sunmatrix_sparse.h                      |   19 
 sundialr-0.1.7/sundialr/inst/include/sunmemory/sunmemory_system.h                      |   11 
 sundialr-0.1.7/sundialr/inst/include/sunnonlinsol/sunnonlinsol_fixedpoint.h            |    7 
 sundialr-0.1.7/sundialr/inst/include/sunnonlinsol/sunnonlinsol_newton.h                |    5 
 sundialr-0.1.7/sundialr/src/Makevars.in                                                |    2 
 sundialr-0.1.7/sundialr/src/cvode.cpp                                                  |    4 
 sundialr-0.1.7/sundialr/src/cvodes.cpp                                                 |    4 
 sundialr-0.1.7/sundialr/src/cvsolve.cpp                                                |    4 
 sundialr-0.1.7/sundialr/src/ida.cpp                                                    |    5 
 sundialr-0.1.7/sundialr/src/scripts/sundials_download.sh                               |    4 
 sundialr-0.1.7/sundialr/src/sundials-mod-7.6.0.tar.gz                                  |only
 sundialr-0.1.7/sundialr/tools/cmake_call.sh                                            |  116 ++
 sundialr-0.1.7/sundialr/tools/remove_static_libs.sh                                    |only
 140 files changed, 1850 insertions(+), 1579 deletions(-)

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New package talib with initial version 0.9-0
Package: talib
Title: Interface to 'TA-Lib' for Technical Analysis and Candlestick Patterns
Version: 0.9-0
Description: Interface to the 'TA-Lib' (Technical Analysis Library) C library, providing access to 150+ indicators (e.g. Average Directional Movement Index (ADX), Moving Average Convergence Divergence (MACD), Relative Strength Index (RSI), Stochastic Oscillator, Bollinger Bands), candlestick pattern recognition, and rolling-window utilities. Core computations are implemented in C for fast Open-High-Low-Close-Volume (OHLCV) time-series feature engineering and rule-based signal generation, with optional interactive visualization via 'plotly'.
SystemRequirements: CMake
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
NeedsCompilation: yes
Suggests: ggplot2, knitr, plotly, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
URL: https://serkor1.github.io/ta-lib-R/, https://github.com/serkor1/ta-lib-R, https://ta-lib.org/
BugReports: https://github.com/serkor1/ta-lib-R/issues
Packaged: 2026-04-18 23:45:39 UTC; serkor
Author: Serkan Korkmaz [cre, aut, cph] , Mario Fortier [cph] )
Maintainer: Serkan Korkmaz <serkor1@duck.com>
Repository: CRAN
Date/Publication: 2026-04-21 19:50:02 UTC

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New package srpi with initial version 0.1.0
Package: srpi
Title: Standardized Ranking Performance Index for Model Selection
Version: 0.1.0
Maintainer: Santosha Rathod <santoshagriculture@gmail.com>
Description: Flexible implementation of the Standardized Ranking Performance Index (sRPI) for model selection based on multiple evaluation criteria. The package combines multiple statistical measures into a single index to provide an objective and robust ranking of models across calibration, validation, and combined scenarios. It supports evaluation of statistical, machine learning, and other predictive models using user-defined performance criteria. For more details see Aschonitis et al. (2019) <doi:10.1016/j.envsoft.2019.01.005> and Singh et al. (2023) <doi:10.1016/j.ecoinf.2022.101933>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: ggplot2
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-04-16 19:55:58 UTC; Admin
Author: RN Singh [aut], Sonam [aut], Sudhir Kumar Mishra [aut], Gaurav Chaturvedi [aut], Anil Kumar [aut], Santosha Rathod [aut, cre]
Repository: CRAN
Date/Publication: 2026-04-21 19:00:07 UTC

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New package spatialData with initial version 1.0.0
Package: spatialData
Title: Spatial Datasets for Ecological Modeling
Version: 1.0.0
Description: Provides spatial datasets ready to use for ecological modelling and raster companion data for prediction: Neanderthal presence during the Last Interglacial (Benito et al. 2017 <doi:10.1111/jbi.12845>); Plant diversity metrics for the World's Ecoregions (Maestre et al. 2021 <doi:10.1111/nph.17398>); tree richness across the Americas (Benito et al. 2013 <doi:10.1111/2041-210X.12022>); plant communities from the Sierra Nevada (Spain) with future climate scenarios (Benito et al. 2013 <doi:10.1111/2041-210X.12022>); butterfly-plant interaction data from Sierra Nevada (Spain) (Benito et al. 2011 <doi:10.1007/s10584-010-0015-3>); plant species occurrences in Andalusia (Spain) (Benito et al. 2014 <doi:10.1111/ddi.12148>); presence of the plant Linaria nigricans and greenhouses (Benito et al. 2009 <doi:10.1007/s10531-009-9604-8>); global NDVI and environmental predictors, and European oak species occurrences. All datasets include pre-processed environme [...truncated...]
URL: https://blasbenito.github.io/spatialData/
BugReports: https://github.com/BlasBenito/spatialData/issues
License: CC BY 4.0
Encoding: UTF-8
Imports: sf, terra
Suggests: spelling, testthat (>= 3.0.0)
Language: en-US
Depends: R (>= 4.1.0)
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2026-04-18 19:19:55 UTC; blas
Author: Blas M. Benito [aut, cre]
Maintainer: Blas M. Benito <blasbenito@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 19:50:32 UTC

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New package sfReapportion with initial version 0.2.0
Package: sfReapportion
Title: Reapportion Data from One Geography to Another
Version: 0.2.0
Maintainer: Francois Briatte <f.briatte@gmail.com>
Description: A port of the 'spReapportion' package, using Simple Features in order to lose the dependencies to the retired 'maptools' and 'rgeos' packages.
License: GPL-3
LazyData: TRUE
URL: https://github.com/briatte/sfReapportion
BugReports: https://github.com/briatte/sfReapportion/issues
Depends: R (>= 4.1)
Imports: dplyr, sf, sp (>= 2.0-0)
Suggests: areal, populR, testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-20 15:21:33 UTC; fr
Author: Francois Briatte [aut, cre] , Joel Gombin [aut]
Repository: CRAN
Date/Publication: 2026-04-21 20:32:10 UTC

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New package QuickExplore with initial version 0.1.0
Package: QuickExplore
Title: Interactive Dataset Explorer for 'R' and 'SAS' and Other Data Formats
Version: 0.1.0
Description: A 'Shiny' application that provides nice interface for browsing, exploring, summarising, and converting datasets stored in 'SAS' (.sas7bdat, .xpt), CSV (.csv), and 'R' (.rds) formats. Users can register multiple directory-based libraries, interactively filter data using 'dplyr' expressions, inspect per-variable statistics, and export datasets to Excel, JSON, CSV, 'R' data, or 'SAS' transport formats.
License: MIT + file LICENSE
URL: https://github.com/ramsas88/QuickExplore
BugReports: https://github.com/ramsas88/QuickExplore/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: shiny (>= 1.7.0), bslib (>= 0.5.0), DT (>= 0.28), dplyr (>= 1.1.0), haven (>= 2.5.0), readr (>= 2.1.0), jsonlite (>= 1.8.0), writexl (>= 1.4.0), rlang (>= 1.1.0), digest (>= 0.6.0), tools, stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-20 12:47:36 UTC; ramanjaneyulugaduputi
Author: Ram Gaduputi [aut, cre], Jagadish Katam [aut]
Maintainer: Ram Gaduputi <ramsas88@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 20:12:20 UTC

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Package ordinalClust readmission to version 1.3.5.1 with previous version 1.3.5 dated 2020-11-19

Title: Ordinal Data Clustering, Co-Clustering and Classification
Description: Ordinal data classification, clustering and co-clustering using model-based approach with the BOS (Binary Ordinal Search) distribution for ordinal data (Christophe Biernacki and Julien Jacques (2016) <doi:10.1007/s11222-015-9585-2>).
Author: Margot Selosse [aut], Julien Jacques [aut, cre], Christophe Biernacki [aut]
Maintainer: Julien Jacques <julien.jacques@univ-lyon2.fr>

This is a re-admission after prior archival of version 1.3.5 dated 2020-11-19

Diff between ordinalClust versions 1.3.5 dated 2020-11-19 and 1.3.5.1 dated 2026-04-21

 DESCRIPTION                    |   27 
 MD5                            |   30 -
 R/bosplot.R                    |    7 
 build/vignette.rds             |binary
 inst/doc/ordinalClust.R        |  480 ++++++++--------
 inst/doc/ordinalClust.html     | 1198 ++++++++++++++++++++++++-----------------
 man/bosclassif.Rd              |   58 -
 man/bosclust.Rd                |   43 -
 man/boscoclust.Rd              |   52 -
 man/pejSim.Rd                  |   28 
 src/Bos.cpp                    |   97 ++-
 src/ClassificationMContext.cpp |   14 
 src/ClusteringContext.cpp      |   24 
 src/Makevars                   |    9 
 src/ordinalClust.cpp           |   83 ++
 vignettes/bibliography.bib     |   12 
 16 files changed, 1189 insertions(+), 973 deletions(-)

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New package orbitr with initial version 0.2.0
Package: orbitr
Title: A Tidy Physics Engine for Building and Visualizing Orbital Simulations
Version: 0.2.0
Description: A lightweight, fully vectorized N-body physics engine built for the R ecosystem. Simulate and visualize complex orbital mechanics, celestial trajectories, and gravitational interactions using tidy data principles. Features multiple numerical integration methods, including the energy-conserving velocity Verlet algorithm (Verlet (1967) <doi:10.1103/PhysRev.159.98>), to ensure highly stable orbital propagation. Gravitational N-body methods follow Aarseth (2003, ISBN:0-521-43272-3).
URL: https://orbit-r.com/, https://github.com/DRosenman/orbitr
BugReports: https://github.com/DRosenman/orbitr/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, ggplot2, Rcpp, tibble
Suggests: plotly, gganimate, gifski, magick, knitr, rmarkdown, pkgdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2026-04-20 17:05:18 UTC; daver
Author: Dave Rosenman [aut, cre]
Maintainer: Dave Rosenman <dave.rosenman.data@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-04-21 20:32:15 UTC

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New package MRIreduce with initial version 1.0.0
Package: MRIreduce
Title: ROI-Based Transformation of Neuroimages into High-Dimensional Data Frames
Version: 1.0.0
Maintainer: Jinyao Tian <jinyaoti@usc.edu>
Description: Converts NIfTI format T1/FL neuroimages into structured, high-dimensional 2D data frames with a focus on region of interest (ROI) based processing. The package incorporates the partition algorithm, which offers a flexible framework for agglomerative partitioning based on the Direct-Measure-Reduce approach. This method ensures that each reduced variable maintains a user-specified minimum level of information while remaining interpretable, as each maps uniquely to one variable in the reduced dataset. The partition framework is described in Millstein et al. (2020) <doi:10.1093/bioinformatics/btz661>. The package allows customization in variable selection, measurement of information loss, and data reduction methods for neuroimaging analysis and machine learning workflows.
License: MIT + file LICENSE
Imports: R6, Rcpp, fslr, neurobase, oro.nifti, parallel, partition, reshape2, reticulate
Depends: R (>= 3.5.0)
SystemRequirements: FSL (FMRIB Software Library, available at https://fsl.fmrib.ox.ac.uk/fsl/docs/#/install/index)
LinkingTo: Rcpp
Encoding: UTF-8
Language: en-US
Suggests: DT, EveTemplate, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://uscbiostats.github.io/MRIreduce/
Additional_repositories: https://neuroconductor.org/releases/2020/05
NeedsCompilation: yes
Packaged: 2026-04-19 04:42:57 UTC; jinyaotian
Author: Joshua Milstein [aut], Jinyao Tian [aut, cre]
Repository: CRAN
Date/Publication: 2026-04-21 20:42:25 UTC

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New package mori with initial version 0.1.0
Package: mori
Title: Shared Memory for R Objects
Version: 0.1.0
Description: Share R objects across processes on the same machine via a single copy in 'POSIX' shared memory (Linux, macOS) or a 'Win32' file mapping (Windows). Every process reads from the same physical pages through the R Alternative Representation ('ALTREP') framework, giving lazy, zero-copy access. Shared objects serialize compactly as their shared memory name rather than their full contents.
License: MIT + file LICENSE
URL: https://shikokuchuo.net/mori/, https://github.com/shikokuchuo/mori
BugReports: https://github.com/shikokuchuo/mori/issues
Depends: R (>= 4.3)
Suggests: lobstr, mirai, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-04-19 21:32:08 UTC; cg334
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Charlie Gao <charlie.gao@posit.co>
Repository: CRAN
Date/Publication: 2026-04-21 20:12:15 UTC

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Package mixtox updated to version 1.5.0 with previous version 1.4.0 dated 2022-06-20

Title: Dose Response Curve Fitting and Mixture Toxicity Assessment
Description: Curve Fitting of monotonic(sigmoidal) & non-monotonic(J-shaped) dose-response data. Predicting mixture toxicity based on reference models such as 'concentration addition', 'independent action', and 'generalized concentration addition'.
Author: Xiangwei Zhu [aut, cre]
Maintainer: Xiangwei Zhu <xwzhunc@gmail.com>

Diff between mixtox versions 1.4.0 dated 2022-06-20 and 1.5.0 dated 2026-04-21

 DESCRIPTION       |   18 -
 MD5               |  103 +++----
 NAMESPACE         |   16 -
 R/BMD.R           |  296 ++++++++++-----------
 R/CEx.R           |  140 +++++-----
 R/ECx.R           |  187 ++++++-------
 R/NOEC.R          |  258 +++++++++---------
 R/caPred.R        |  174 ++++++------
 R/curveFit.R      |  444 +++++++++++++++++--------------
 R/ecaPred.R       |  202 +++++++-------
 R/eiaPred.R       |  126 ++++-----
 R/figPlot.R       |   92 +++---
 R/gcaHill.R       |  200 +++++++-------
 R/gcaPred.R       |  361 +++++++++++++------------
 R/getCI.R         |  330 +++++++++++------------
 R/iaPred.R        |  248 ++++++++---------
 R/jacobian.R      |  168 ++++++------
 R/nmECx.R         |  156 +++++------
 R/qq4res.R        |   22 -
 R/readModel.R     |   36 +-
 R/readTox.R       |    4 
 R/showEq.R        |   85 +++---
 R/tuneFit.R       |  528 +++++++++++++++++++------------------
 R/unidTab.R       |  752 +++++++++++++++++++++++++++---------------------------
 README.md         |only
 data/staval.rda   |binary
 man/BMD.Rd        |  114 ++++----
 man/CEx.Rd        |  118 ++++----
 man/DTcv.Rd       |   66 ++--
 man/ECx.Rd        |  134 ++++-----
 man/NOEC.Rd       |  148 +++++-----
 man/antibiotox.Rd |  134 ++++-----
 man/caPred.Rd     |  220 +++++++--------
 man/curveFit.Rd   |  438 ++++++++++++++++---------------
 man/cytotox.Rd    |  128 ++++-----
 man/ecaPred.Rd    |  124 ++++----
 man/eiaPred.Rd    |  166 +++++------
 man/figPlot.Rd    |   76 ++---
 man/gcaHill.Rd    |  200 +++++++-------
 man/gcaPred.Rd    |  202 +++++++-------
 man/getCI.Rd      |   88 +++---
 man/hormesis.Rd   |  110 +++----
 man/iaPred.Rd     |  230 ++++++++--------
 man/jacobian.Rd   |   70 ++---
 man/mixtox.Rd     |  132 ++++-----
 man/nmECx.Rd      |  112 ++++----
 man/qq4res.Rd     |   66 ++--
 man/readModel.Rd  |   62 ++--
 man/readTox.Rd    |  116 ++++----
 man/showEq.Rd     |  114 ++++----
 man/staval.Rd     |   69 ++--
 man/tuneFit.Rd    |  198 +++++++-------
 man/unidTab.Rd    |  172 ++++++------
 53 files changed, 4410 insertions(+), 4343 deletions(-)

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New package leaf with initial version 0.1.0
Package: leaf
Title: Learning Equations for Automated Function Discovery
Version: 0.1.0
Maintainer: Francisco Martins <francisco.martins@tecnico.ulisboa.pt>
Description: A unified framework for symbolic regression (SR) and multi-view symbolic regression (MvSR) designed for complex, nonlinear systems, with particular applicability to ecological datasets. The package implements a four-stage workflow: data subset generation, functional form discovery, numerical parameter optimization, and multi-objective evaluation. It provides a high-level formula-style interface that abstracts and extends multiple discovery engines: genetic programming (via PySR), Reinforcement Learning with Monte Carlo Tree Search (via RSRM), and exhaustive generalized linear model search. 'leaf' extends these methods by enabling multi-view discovery, where functional structures are shared across groups while parameters are fitted locally, and by supporting the enforcement of domain-specific constraints, such as sign consistency across groups. The framework automatically handles data normalization, link functions, and back-transformation, ensuring that discovered symbolic equations rem [...truncated...]
URL: https://github.com/NabiaAI/Leaf
Note: Includes modified Python code from the RSRM project (<https://github.com/intell-sci-comput/RSRM>) under the MIT License.
License: MIT + file LICENSE
Copyright: see inst/COPYRIGHTS
Encoding: UTF-8
Imports: R6, utils, reticulate (>= 1.30), ggplot2, dplyr, rlang, rappdirs, rstudioapi
SystemRequirements: Conda, Python (>= 3.10)
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-20 21:50:08 UTC; marti
Author: Francisco Martins [cre, aut, cph] , Pedro Cardoso [aut] , Manuel Lopes [aut] , Vasco Branco [aut] , INESC-ID [fnd] , intell-sci-comput [cph] )
Repository: CRAN
Date/Publication: 2026-04-21 20:52:15 UTC

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New package elcf4R with initial version 0.4.0
Package: elcf4R
Title: Electricity Load Curves Forecasting at Individual Level
Version: 0.4.0
Date: 2026-04-07
Depends: R (>= 3.5.0)
Imports: stats, utils, mgcv, earth, keras3, Rcpp, tensorflow, data.table, wavelets, jsonlite, xml2, DBI, RSQLite
LinkingTo: Rcpp
Suggests: knitr, reticulate, rmarkdown, testthat (>= 3.0.0)
Author: Frederic Bertrand [cre, aut] , Fatima Fahs [aut], Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Implements forecasting methods for individual electricity load curves, including Kernel Wavelet Functional (KWF), clustered KWF, Generalized Additive Models (GAM), Multivariate Adaptive Regression Splines (MARS), and Long Short-Term Memory (LSTM) models. Provides normalized dataset adapters for iFlex, StoreNet, Low Carbon London, and REFIT; download and read support for IDEAL and GX; explicit Python backend selection for TensorFlow-based LSTM fits; helpers for daily segmentation and rolling-origin benchmarking; and compact shipped example panels and benchmark-result datasets.
LazyLoad: yes
LazyData: yes
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
URL: https://fbertran.github.io/elcf4R/, https://github.com/fbertran/elcf4R
BugReports: https://github.com/fbertran/elcf4R/issues
NeedsCompilation: yes
Packaged: 2026-04-17 06:43:24 UTC; bertran7
Repository: CRAN
Date/Publication: 2026-04-21 20:52:21 UTC

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New package DSIR with initial version 0.2.0
Package: DSIR
Title: Data Science Infrastructure for Global Health in R
Version: 0.2.0
Description: Tools for global health data analysis, including a publication-ready 'ggplot2' theme, a 'flextable' defaults helper, a thin pie chart wrapper, built-in regional country-code datasets, and convenience clients for the World Health Organization Global Health Observatory (GHO) OData API <https://ghoapi.azureedge.net/api/> and the United Nations Sustainable Development Goals (SDG) API <https://unstats.un.org/SDGAPI/swagger/>.
License: MIT + file LICENSE
Language: en-US
URL: https://github.com/shanlong-who/DSIR
BugReports: https://github.com/shanlong-who/DSIR/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.4.0), flextable (>= 0.9.0), httr2, rlang, cli
Suggests: patchwork, officer, testthat (>= 3.0.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-04-14 15:12:31 UTC; User
Author: Shanlong WHO [aut, cre]
Maintainer: Shanlong WHO <dings@who.int>
Repository: CRAN
Date/Publication: 2026-04-21 20:22:19 UTC

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New package BrainNetTest with initial version 0.1.0
Package: BrainNetTest
Title: Hypothesis Testing for Populations of Brain Networks
Version: 0.1.0
Description: Non-parametric hypothesis testing for populations of brain networks represented as graphs, following the L1-distance ANOVA framework of Fraiman and Fraiman (2018) <doi:10.1038/s41598-018-21688-0>. The package builds on this nonparametric graph-comparison framework, extending it with procedures for edge-level inference and identification of the specific connections driving group differences. In particular, it provides utilities to compute central (mean) graphs, pairwise Manhattan distances between adjacency matrices, the group test statistic T, and a fast permutation procedure to identify the critical edges that drive between-group differences. Helper functions to generate synthetic community-structured graphs and to visualise brain networks with communities are also included.
License: MIT + file LICENSE
URL: https://github.com/mmaximiliano/BrainNetTest
BugReports: https://github.com/mmaximiliano/BrainNetTest/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, graphics, igraph
Suggests: ggplotify, gridExtra, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-21 00:08:06 UTC; maxim
Author: Maximiliano Martino [aut, cre] , Daniel Fraiman [aut]
Maintainer: Maximiliano Martino <maxii.martino@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 20:52:42 UTC

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New package bayesiansurpriser with initial version 0.1.0
Package: bayesiansurpriser
Title: Bayesian Surprise for De-Biasing Thematic Maps
Version: 0.1.0
Author: Dmitry Shkolnik [aut, cre]
Maintainer: Dmitry Shkolnik <shkolnikd@gmail.com>
Description: Implements Bayesian Surprise methodology for data visualization, based on Correll and Heer (2017) <doi:10.1109/TVCG.2016.2598839> "Surprise! Bayesian Weighting for De-Biasing Thematic Maps". Provides tools to weight event data relative to spatio-temporal models, highlighting unexpected patterns while de-biasing against known factors like population density or sampling variation. Integrates seamlessly with 'sf' for spatial data and 'ggplot2' for visualization. Supports temporal/streaming data analysis.
License: MIT + file LICENSE
URL: https://dshkol.github.io/bayesiansurpriser/, https://github.com/dshkol/bayesiansurpriser
BugReports: https://github.com/dshkol/bayesiansurpriser/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.5.0), sf (>= 1.0.0), scales (>= 1.3.0), rlang (>= 1.1.0), cli, stats, MASS, RColorBrewer
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, dplyr, tibble, vdiffr, tidycensus, tigris, cancensus, ggrepel
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-04-21 06:44:08 UTC; dmitryshkolnik
Repository: CRAN
Date/Publication: 2026-04-21 20:52:29 UTC

More information about bayesiansurpriser at CRAN
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New package aiDIF with initial version 0.1.0
Package: aiDIF
Title: Differential Item Functioning for AI-Scored Assessments
Version: 0.1.0
Description: Detects and quantifies differential item functioning (DIF) in AI-scored educational and psychological assessments. Provides a fully self-contained robust DIF engine (M-estimation via iteratively re-weighted least squares with the bi-square loss) alongside the novel Differential AI Scoring Bias (DASB) test, which detects item-level scoring shifts that differ across subgroups when comparing human and AI scoring conditions. Includes simulation utilities, anchor weight diagnostics, and an AI-effect classification framework.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Matrix, stats, graphics
Suggests: mirt, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/causalfragility-lab/aiDIF
BugReports: https://github.com/causalfragility-lab/aiDIF/issues
NeedsCompilation: no
Packaged: 2026-04-20 20:43:11 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-04-21 20:52:36 UTC

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New package socialdrift with initial version 0.1.0
Package: socialdrift
Title: Temporal Auditing of Social Interaction Networks
Version: 0.1.0
Description: Tools for constructing, auditing, and visualizing temporal social interaction networks from event-log data. Supports graph construction from raw user-to-user interaction logs, longitudinal tracking of network structure, community dynamics, user role trajectories, and concentration of engagement over time. Designed for computational social science, platform analytics, and digital community health monitoring. Includes four longitudinal audit indices: the Network Drift Index ('NDI'), Community Fragmentation Index ('CFI'), Visibility Concentration Index ('VCI'), and Role Mobility Index ('RMI'). 'NDI', 'CFI', 'VCI', and 'RMI' are purpose-built composite scores for longitudinal platform auditing.
License: GPL-3
URL: https://github.com/causalfragility-lab/socialdrift
BugReports: https://github.com/causalfragility-lab/socialdrift/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.1.0), tibble (>= 3.2.0), tidyr (>= 1.3.0), purrr (>= 1.0.0), ggplot2 (>= 3.4.0), igraph (>= 1.5.0), stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, patchwork
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-19 03:27:55 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-04-21 19:52:45 UTC

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Package ShrinkageTrees updated to version 2.0.2 with previous version 1.2.0 dated 2026-02-26

Title: Bayesian Tree Ensembles for Survival Analysis and Causal Inference
Description: Bayesian regression tree ensembles for survival analysis and causal inference. Implements BART, DART, Bayesian Causal Forests (BCF), and Horseshoe Forest models. Supports right-censored and interval-censored survival outcomes via accelerated failure time (AFT) formulations. Designed for high-dimensional prediction and heterogeneous treatment effect estimation.
Author: Tijn Jacobs [aut, cre]
Maintainer: Tijn Jacobs <t.jacobs@vu.nl>

Diff between ShrinkageTrees versions 1.2.0 dated 2026-02-26 and 2.0.2 dated 2026-04-21

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 ShrinkageTrees-2.0.2/ShrinkageTrees/src/probit-HorseTrees.cpp                            |    2 
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 109 files changed, 5985 insertions(+), 2242 deletions(-)

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New package shiny.webawesome with initial version 1.0.0
Package: shiny.webawesome
Title: 'shiny' Bindings for 'Web Awesome' Components
Version: 1.0.0
Description: Provides an 'R' and 'shiny' interface to the 'Web Awesome' component library. The package is generator-driven, exposing 'Web Awesome' web components as 'R' functions that produce HTML tags and integrate with the reactive model that 'shiny' uses.
URL: https://github.com/mbanand/shiny.webawesome, https://www.shiny-webawesome.org
BugReports: https://github.com/mbanand/shiny.webawesome/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: htmltools, shiny
Suggests: chromote, covr, devtools, digest, document, jsonlite, knitr, lintr, processx, pkgdown, rmarkdown, rhub, shinytest2, styler, testthat (>= 3.0.0), urlchecker, withr, yaml
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-17 15:45:14 UTC; vmuser
Author: M. B. Anand [aut, cre]
Maintainer: M. B. Anand <privateanand@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 19:32:09 UTC

More information about shiny.webawesome at CRAN
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New package rtemis.core with initial version 0.0.3
Package: rtemis.core
Title: Core Utilities for the 'rtemis' Ecosystem
Version: 0.0.3
Date: 2026-04-19
Description: Utilities used across packages of the 'rtemis' ecosystem. Includes the msg() messaging system and the fmt() formatting system. Provides test_* functions that return logical values, check_* functions that throw informative errors, and clean_* functions that return validated and coerced values. This code began as part of the 'rtemis' package (<doi:10.32614/CRAN.package.rtemis>).
License: GPL (>= 3)
URL: https://www.rtemis.org, https://github.com/rtemis-org/rtemis.core
BugReports: https://github.com/rtemis-org/rtemis.core/issues
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: cli, data.table, methods, S7
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-04-20 06:48:19 UTC; sdg
Author: E.D. Gennatas [aut, cre, cph]
Maintainer: E.D. Gennatas <gennatas@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 19:52:51 UTC

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New package ROI.format.cbf with initial version 0.1-0
Package: ROI.format.cbf
Title: Conic Benchmark Format (CBF) Plugin for the R Optimization Infrastructure
Version: 0.1-0
Date: 2026-03-19
Author: Benjamin Schwendinger [aut, cre]
Maintainer: Benjamin Schwendinger <benjaminschwe@gmail.com>
Description: Provides read and write support for the Conic Benchmark Format (CBF, version 4) within the R Optimization Infrastructure ('ROI'). Supported cone types include the positive orthant, second-order (SOC), rotated second-order (bridged automatically to standard SOC), exponential (primal and dual), power (primal and dual), and semidefinite (symmetric-vectorised) cones, as well as their mixed-integer variants. The reader translates a .cbf file into an ROI 'OP' object, handling coordinate-convention differences between CBF and ROI transparently; the writer serialises an ROI 'OP' object back to CBF plain-text.
License: GPL-3
URL: https://gitlab.com/roigrp/tools/roi.format.cbf
BugReports: https://gitlab.com/roigrp/tools/roi.format.cbf/-/issues
Imports: ROI (>= 1.0-0), slam (>= 0.1-40)
Suggests: tinytest, ROI.plugin.ecos, ROI.plugin.scs
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-18 14:48:05 UTC; ben
Repository: CRAN
Date/Publication: 2026-04-21 19:42:20 UTC

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New package raretrans with initial version 1.0.4
Package: raretrans
Title: Bayesian Priors for Matrix Population Models
Version: 1.0.4
Description: Provides functions to correct biased transition and fertility estimates in population projection matrices caused by small sample sizes. Small or short-term studies frequently produce structural zeros (biologically possible transitions never observed) and structural ones (transitions estimated at 100% survival, stasis, or mortality that are biologically implausible). Both distort matrix structure and bias estimates of population growth. Implements a multinomial-Dirichlet Bayesian prior for transition probabilities and a Gamma-Poisson prior for reproduction, allowing analysts to incorporate prior biological knowledge and regularise estimates from rare or unobserved events. Includes functions to compute marginal posterior credible intervals for all transition probabilities (transition_CrI()), visualise those intervals as point-range plots (plot_transition_CrI()), and display the full posterior beta density for each matrix entry (plot_transition_density()). Methods are described in Trembla [...truncated...]
URL: https://atiretoo.github.io/raretrans/, https://github.com/atiretoo/raretrans
BugReports: https://github.com/atiretoo/raretrans/issues
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Imports: ggplot2, rlang, stats
Suggests: bslib, covr, dplyr, formatR, gridExtra, huxtable, knitr, MultinomialCI, popdemo, popbio, purrr, rmarkdown, RColorBrewer, shiny, testthat, tibble, tidyr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2026-04-17 14:23:21 UTC; rlt
Author: Raymond Tremblay [aut, cre, cph] , Andrew Tyre [aut, cph] , Maria-Eglee Perez [aut] , Sasha Tenhumberg [ctb]
Maintainer: Raymond Tremblay <raymond.tremblay@upr.edu>
Repository: CRAN
Date/Publication: 2026-04-21 19:32:17 UTC

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New package printify with initial version 1.0.0
Package: printify
Title: Custom Formatted Console Messages with Timing Support
Version: 1.0.0
Description: A lightweight message system relying purely on base R. Comes with built-in and pre styled message types and provides an easy way to create custom messages. Supports individually styled and colored text as well as timing information. Designed to make console output more informative and visually organized.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/s3rdia/printify, https://deepwiki.com/s3rdia/printify, https://s3rdia.github.io/qol_blog/
Depends: R (>= 4.1.0)
Suggests: tinytest (>= 1.4.3)
NeedsCompilation: no
Packaged: 2026-04-18 20:57:20 UTC; User
Author: Tim Siebenmorgen [aut, cre, cph]
Maintainer: Tim Siebenmorgen <qol_package@proton.me>
Repository: CRAN
Date/Publication: 2026-04-21 19:52:57 UTC

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New package pciR with initial version 1.0.0
Package: pciR
Title: Proactive Conservation Index
Version: 1.0.0
Description: Calculates the Proactive Conservation Index, a new tool to prioritize species for conservation, which can incorporate information about future threats.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: caret
Depends: R (>= 4.1.0)
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-17 12:32:38 UTC; gabri
Author: Gabriel Henrique de Oliveira Caetano [aut, cre], Uri Roll [aut], Shai Meiri [aut]
Maintainer: Gabriel Henrique de Oliveira Caetano <gabrielhoc@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 19:32:24 UTC

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New package OdysseusPathwayModule with initial version 0.0.1
Package: OdysseusPathwayModule
Title: Cohort Pathway Analysis with Pre-Index Event Support
Version: 0.0.1
Maintainer: Alexander Alexeyuk <AlexanderAlexeyuk@gmail.com>
Description: Provides cohort pathway analysis for Observational Medical Outcomes Partnership (OMOP) Common Data Model databases, including both standard (post-index) and pre-index pathway analyses. The pre-index analysis identifies sequences of events occurring in a lookback window before the target cohort index date. Built on the 'CohortPathways' analysis framework originally developed by Christopher Knoll and the Observational Health Data Sciences and Informatics community through 'WebAPI'. Methodological background and the originating implementation are described in <https://github.com/OHDSI/CohortPathways>.
License: Apache License (>= 2)
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: DatabaseConnector, SqlRender
Suggests: Eunomia, igraph, knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-17 08:02:35 UTC; AlexanderAleksiayuk
Author: Alexander Alexeyuk [aut, cre]
Repository: CRAN
Date/Publication: 2026-04-21 19:22:15 UTC

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New package mx.api with initial version 0.1.0
Package: mx.api
Title: Minimal Matrix Client-Server API
Version: 0.1.0
Date: 2026-04-15
Description: A minimal-dependency client for the 'Matrix' Client-Server HTTP API <https://spec.matrix.org/>, suitable for talking to a 'Synapse' homeserver <https://element-hq.github.io/synapse/>. Covers login, room management, message send and history, and media upload or download. End-to-end encryption is out of scope; use unencrypted rooms or a separate crypto package.
License: MIT + file LICENSE
URL: https://github.com/cornball-ai/mx.api
BugReports: https://github.com/cornball-ai/mx.api/issues
Imports: curl, jsonlite
Suggests: tinytest
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-18 15:36:32 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-04-21 19:42:09 UTC

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New package mpshock with initial version 0.1.0
Package: mpshock
Title: Monetary Policy Shock Series for Empirical Macroeconomics
Version: 0.1.0
Description: Provides a curated multi-country collection of monetary policy shock and stance series from the empirical macroeconomics literature, bundled as tidy data frames with provenance metadata. Version 0.1.0 includes thirteen series covering the United States, United Kingdom, and Australia: for the US, the policy news shock of Nakamura and Steinsson (2018) <doi:10.1093/qje/qjy004>, the orthogonalised surprise of Bauer and Swanson (2023) <doi:10.1257/aer.20201220>, the target and path factors of the Swanson (2021) <doi:10.1016/j.jmoneco.2020.09.003> extension of Gurkaynak, Sack, and Swanson (2005), the pure monetary policy and central bank information shocks of Jarocinski and Karadi (2020) <doi:10.1257/mac.20180090>, the informationally-robust shock of Miranda-Agrippino and Ricco (2021) <doi:10.1257/mac.20180124>, and the shadow federal funds rate of Wu and Xia (2016) <doi:10.1111/jmcb.12300>; for the UK, the UK Monetary Policy Event-Study Database of Braun, [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/charlescoverdale/mpshock
BugReports: https://github.com/charlescoverdale/mpshock/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), stats, utils
Suggests: curl, spelling, testthat (>= 3.0.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-04-18 11:03:52 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre, cph]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 19:42:14 UTC

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Package LPStimeSeries readmission to version 1.1-0 with previous version 1.0-5 dated 2015-03-27

Title: Learned Pattern Similarity and Representation for Time Series
Description: Learned Pattern Similarity (LPS) for time series, as described in Baydogan and Runger (2016) <doi:10.1007/s10618-015-0425-y>. Implements an approach to model the dependency structure in time series that generalizes the concept of autoregression to local auto-patterns. Generates a pattern-based representation of time series along with a similarity measure called Learned Pattern Similarity (LPS). Introduces a generalized autoregressive kernel. This package adapts C code from the 'randomForest' package by Andy Liaw and Matthew Wiener, itself based on original Fortran code by Leo Breiman and Adele Cutler.
Author: Mustafa Gokce Baydogan [aut, cre], Leo Breiman [ctb] , Adele Cutler [ctb] , Andy Liaw [ctb] , Matthew Wiener [ctb] , Merck & Co., Inc. [cph]
Maintainer: Mustafa Gokce Baydogan <baydoganmustafa@gmail.com>

This is a re-admission after prior archival of version 1.0-5 dated 2015-03-27

Diff between LPStimeSeries versions 1.0-5 dated 2015-03-27 and 1.1-0 dated 2026-04-21

 DESCRIPTION                   |   54 ++-
 MD5                           |   37 +-
 NAMESPACE                     |   10 
 R/computeSimilarity.R         |   41 ++
 R/discriminativePatterns.R    |only
 R/learnPattern.default.R      |   33 +
 R/predict.learnPattern.R      |   51 +-
 R/tunelearnPattern.R          |   11 
 R/visualizePattern.R          |  103 ++++-
 build                         |only
 inst/CITATION                 |   29 -
 man/computeSimilarity.Rd      |   15 
 man/discriminativePatterns.Rd |only
 man/learnPattern.Rd           |   19 -
 man/predict.learnPattern.Rd   |   10 
 man/tunelearnPattern.Rd       |   16 
 src/Makevars                  |only
 src/Makevars.win              |only
 src/init.c                    |only
 src/regTree.c                 |  338 +++++++------------
 src/regrf.c                   |  729 ++++++++++++++++++++----------------------
 src/rf.h                      |   78 +---
 src/rng.h                     |only
 23 files changed, 818 insertions(+), 756 deletions(-)

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New package LeaveOutKSS with initial version 0.1.0
Package: LeaveOutKSS
Title: Leave-Out Variance Component Estimation for Two-Way Fixed Effects Models
Version: 0.1.0
Author: Vahid Moghani [aut, cre]
Maintainer: Vahid Moghani <contact@vahid-moghani.com>
Description: Implements leave-out estimation of variance components in two-way fixed effects models as an 'R' translation of the original 'MATLAB' package of Kline, Saggio, and Solvsten (2020) <doi:10.3982/ECTA16410>. The package includes graph-based connected-set pruning, leave-out bias correction, leverage computation by exact and randomized algorithms, fixed effect estimation helpers, and companion model-fit summaries for matched worker-firm panels in the spirit of Abowd, Kramarz, and Margolis (1999) <doi:10.1111/1468-0262.00020>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table, Matrix, igraph, sanic, parallel, utils, doParallel, foreach
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-16 19:08:57 UTC; cryst
Repository: CRAN
Date/Publication: 2026-04-21 19:02:34 UTC

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New package K4Sekolah with initial version 0.1.0
Package: K4Sekolah
Title: School Context Data Files for TIMSS 2023 Grade 4
Version: 0.1.0
Author: Fadhlul Mubarak [aut, cre], Vinny Yuliani Sundara [aut], Nurniswah [aut], Fakhrur Razi [aut]
Maintainer: Fadhlul Mubarak <mubarakfadhlul@gmail.com>
Description: The official TIMSS 2023 website provides the School Context Data Files for TIMSS 2023 Grade 4 in rdata format. However, the available data are presented solely in the form of numerical values. This package aims to transform the numerical data into categorical data, thereby enabling clearer interpretation and reducing ambiguity in statistical data analysis. Furthermore, the category labels are presented in Bahasa Indonesia. This initiative is intended as a contribution to promoting and expanding the use of Bahasa Indonesia in the field of programming, in line with its designation as one of the official languages of the United Nations General Assembly.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-17 11:19:27 UTC; HP
Repository: CRAN
Date/Publication: 2026-04-21 19:32:35 UTC

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New package htaBIM with initial version 0.1.0
Package: htaBIM
Title: Budget Impact Modelling for Health Technology Assessment
Version: 0.1.0
Description: Implements a structured, reproducible framework for budget impact modelling (BIM) in health technology assessment (HTA), following the ISPOR Task Force guidelines (Sullivan et al. (2014) <doi:10.1016/j.jval.2013.08.2291> and Mauskopf et al. (2007) <doi:10.1111/j.1524-4733.2007.00187.x>). Provides functions for epidemiology-driven population estimation, market share modelling with flexible uptake dynamics, per-patient cost calculation across multiple cost categories, multi-year budget projections, payer perspective analysis, deterministic sensitivity analysis (DSA), and probabilistic sensitivity analysis (PSA) via Monte Carlo simulation. Produces submission-quality outputs including ISPOR-aligned summary tables, scenario comparison tables, per-patient cost breakdowns, tornado diagrams, PSA histograms, and text and HTML reports compatible with NICE, CADTH, and EU-HTA dossier formats. Ships with an interactive 'shiny' dashboard built on 'bslib' for point-and-click model buildi [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: stats, utils, graphics, rlang (>= 1.1.0)
Suggests: dplyr (>= 1.1.0), tidyr (>= 1.3.0), ggplot2 (>= 3.4.0), cli (>= 3.6.0), checkmate (>= 2.3.0), glue (>= 1.7.0), purrr (>= 1.0.0), tibble (>= 3.2.0), scales (>= 1.3.0), flextable (>= 0.9.0), officer (>= 0.6.0), shiny (>= 1.8.0), bslib (>= 0.7.0), bsicons (>= 0.1.2), DT (>= 0.31), openxlsx (>= 4.2.0), knitr, rmarkdown, testthat (>= 3.0.0), spelling, covr, pkgdown
VignetteBuilder: knitr
URL: https://github.com/heorlytics/htaBIM, https://heorlytics.github.io/htaBIM/
BugReports: https://github.com/heorlytics/htaBIM/issues
Language: en-GB
NeedsCompilation: no
Packaged: 2026-04-16 17:08:22 UTC; ShubhramPandey
Author: Shubhram Pandey [aut, cre] , Heorlytics Ltd [cph]
Maintainer: Shubhram Pandey <shubhram.pandey@heorlytics.com>
Repository: CRAN
Date/Publication: 2026-04-21 19:12:11 UTC

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New package hlrhotrix with initial version 0.1.0
Package: hlrhotrix
Title: Algebraic Operations and Visualisation for Hl-Rhotrices
Version: 0.1.0
Date: 2026-04-17
Maintainer: Fabio M. Correa <fmcron@protonmail.com>
Description: Provides constructors for hl-rhotrices of dimension 2, 4 and 6, together with computation of the determinant, adjoint, inverse and eigenvalues under the Robust Multiplication Method (RMM). A 'ggplot2'-based function visualises the rhomboidal layout and the decomposition into principal minors.
Author: Fabio M. Correa [aut, cre] , Abednego O. Isere [aut], Joseph O. Braimah [aut]
License: GPL (>= 2)
Depends: R (>= 4.0.0)
Imports: ggplot2, ggforce, patchwork
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-17 13:35:00 UTC; fmcron
Repository: CRAN
Date/Publication: 2026-04-21 19:32:29 UTC

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New package ggerror with initial version 0.3.0
Package: ggerror
Title: Extended Error Geoms for 'ggplot2'
Version: 0.3.0
Description: Extends the 'ggplot2' error geoms. geom_error() accepts an 'error' aesthetic with auto-inference of the orientation. It also supports 'error_neg' and 'error_pos' for asymmetric cases, with full control over aesthetics per side, such as color, width etc... The package also includes a vignette covering it's main usecases - symmetric, asymmetric, one-sided, and per-side styling.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, ggplot2 (>= 3.4.0), rlang
Suggests: knitr, purrr, rmarkdown, svglite, testthat (>= 3.0.0), vdiffr (>= 1.0.0)
VignetteBuilder: knitr
URL: https://github.com/iamYannC/ggerror
BugReports: https://github.com/iamYannC/ggerror/issues
NeedsCompilation: no
Packaged: 2026-04-20 07:01:05 UTC; 97253
Author: Yann Cohen [aut, cre]
Maintainer: Yann Cohen <yannco5@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 19:53:03 UTC

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New package dsROCrate with initial version 0.0.1
Package: dsROCrate
Title: 'DataSHIELD' RO-Crate Governance Functions
Version: 0.0.1
Description: Tools for wrapping 'DataSHIELD' analyses into RO-Crate (Research Object Crate) objects. Provides functions to create structured metadata for federated data analysis projects, enabling governance tracking of data access, project membership, analysis execution and output validation across distributed data sources.
License: MIT + file LICENSE
Suggests: dsBaseClient, DSI, DSOpal, fs, knitr, MolgenisArmadillo, testthat (>= 3.0.0), withr
Encoding: UTF-8
Language: en-GB
Imports: digest, dplyr, DSMolgenisArmadillo, jsonlite, opalr, purrr, RcppTOML, rmarkdown, rocrateR (>= 0.1.0), tibble, vtree, xptr, yaml
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
URL: https://github.com/FederatedMethods/dsROCrate
BugReports: https://github.com/FederatedMethods/dsROCrate/issues
NeedsCompilation: no
Packaged: 2026-04-16 15:27:54 UTC; robertovillegas-diaz
Author: Roberto Villegas-Diaz [aut, cre] , Becca Wilson [aut] , Olly Butters [aut] , Stuart Wheater [aut] , University of Liverpool [cph]
Maintainer: Roberto Villegas-Diaz <r.villegas-diaz@outlook.com>
Repository: CRAN
Date/Publication: 2026-04-21 19:02:20 UTC

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New package deckroadmap with initial version 0.1.4
Package: deckroadmap
Title: Roadmap Footers for 'Reveal.js' Slides in 'Quarto' and 'R Markdown'
Version: 0.1.4
Description: Adds section-aware roadmap footers to 'Reveal.js' slide decks created with 'Quarto' or 'R Markdown'. The footer highlights completed, current, and upcoming sections as slides advance. Supports multiple visual styles with configurable colors, size, and positioning options.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: htmltools
Suggests: knitr, rmarkdown, revealjs, quarto, testthat, spelling
URL: https://github.com/CodingTigerTang/deckroadmap, https://codingtigertang.github.io/deckroadmap/
BugReports: https://github.com/CodingTigerTang/deckroadmap/issues
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-04-17 02:31:10 UTC; tigertang
Author: Tiger Tang [aut, cre]
Maintainer: Tiger Tang <tigerloveslobsters@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 19:12:18 UTC

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New package dceasimR with initial version 0.1.0
Package: dceasimR
Title: Distributional Cost-Effectiveness Analysis for Health Technology Assessment
Version: 0.1.0
Description: Implements distributional cost-effectiveness analysis (DCEA) as described in Cookson et al. (2020, ISBN:9780198838197) and the methods endorsed by NICE (2025) for health technology evaluation. Provides functions for both aggregate and full-form DCEA, inequality measurement (Atkinson index, Gini coefficient, slope index of inequality, relative index of inequality), social welfare function evaluation, equity-efficiency impact plane visualisation, and sensitivity analysis over inequality aversion parameters. Includes baseline health distributions for England (by IMD quintile), Canada (income quintile), and global WHO regions. Suitable for academic research, health technology assessment submissions, and public health policy analysis.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Language: en-GB
URL: https://heorlytics.github.io/dceasimR/
BugReports: https://github.com/heorlytics/dceasimR/issues
Imports: ggplot2 (>= 3.4.0), dplyr (>= 1.1.0), rlang (>= 1.1.0), tibble (>= 3.2.0), scales (>= 1.3.0), stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), openxlsx, flextable, covr, vdiffr
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-04-16 16:40:07 UTC; ShubhramPandey
Author: Shubhram Pandey [aut, cre]
Maintainer: Shubhram Pandey <shubhram.pandey@heorlytics.com>
Repository: CRAN
Date/Publication: 2026-04-21 19:02:26 UTC

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New package CausalMixGPD with initial version 0.7.0
Package: CausalMixGPD
Title: Bayesian Nonparametric Conditional Density Modeling in Causal Inference and Clustering with a Heavy-Tail Extension
Version: 0.7.0
Maintainer: Arnab Aich <aaich@fsu.edu>
Description: The presence of a heavy tail is a feature of many scenarios when risk management involves extremely rare events. While parametric distributions may give adequate representation of the mode of data, they are likely to misrepresent heavy tails, and completely nonparametric approaches lack a rigorous mechanism for tail extrapolation; see Pickands (1975) <doi:10.1214/aos/1176343003>. The package 'CausalMixGPD' implements the semiparametric framework of Aich and Bhattacharya (2026) <doi:10.5281/zenodo.19620523> for Bayesian analysis of heavy-tailed outcomes by combining Dirichlet process mixture models for the body of the distribution with optional generalized Pareto tails. The method allows for unconditional and covariate-modulated mixtures, implements MCMC estimation using 'nimble', and extends to mixtures of different arms' outcomes with application to causal inference in the Rubin (1974) <doi:10.1037/h0037350> framework. Posterior summaries include density functions, q [...truncated...]
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0), nimble
Imports: stats, utils, ggplot2
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, here, cli, coda, ggmcmc, future, future.apply, crayon, DT, kableExtra, plotly, MatchIt, codetools
VignetteBuilder: knitr
URL: https://arnabaich96.github.io/CausalMixGPD/pkgdown/
BugReports: https://arnabaich96.github.io/CausalMixGPD/
NeedsCompilation: no
Packaged: 2026-04-17 01:55:02 UTC; arnab
Author: Arnab Aich [aut, cre]
Repository: CRAN
Date/Publication: 2026-04-21 19:12:28 UTC

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New package ButtR with initial version 1.1.1
Package: ButtR
Title: Download and Extract Data from the 'OzButterflies' Database
Version: 1.1.1
Description: Provides tools to download and extract data from the 'OzButterflies' Database <doi:10.5281/zenodo.19019034>, which contains reflectance spectra, calibrated photographs, and cytochrome c oxidase subunit I (COI) sequences of Australian butterflies. The main function get_Oz_butterflies() downloads the database and extracts selected files to a specified directory using user-defined filters.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr, jsonlite
Suggests: testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-04-17 17:50:21 UTC; User
Author: Diogo Silva [aut, cre] , Jim McLean [aut]
Maintainer: Diogo Silva <diogojackson@hotmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 19:22:20 UTC

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New package BayesianDEB with initial version 0.1.4
Package: BayesianDEB
Title: Bayesian Dynamic Energy Budget Modelling
Version: 0.1.4
Description: Provides a Bayesian framework for Dynamic Energy Budget (DEB) modelling via 'Stan'. Implements the standard DEB model of Kooijman (2010, <doi:10.1017/CBO9780511805400>) as a state-space model with Hamiltonian Monte Carlo inference (Carpenter et al., 2017, <doi:10.18637/jss.v076.i01>). Includes individual-level growth models, growth-reproduction models, hierarchical multi-individual models with partial pooling, and toxicokinetic-toxicodynamic (TKTD) models for ecotoxicology following the DEBtox framework (Jager et al., 2006, <doi:10.1007/s10646-006-0060-x>). Supports prior specification from biological knowledge, convergence diagnostics (Vehtari et al., 2021, <doi:10.1214/20-BA1221>), posterior predictive checks, derived quantity estimation, and visualisation via 'ggplot2'.
License: MIT + file LICENSE
URL: https://github.com/sciom/BayesianDEB
BugReports: https://github.com/sciom/BayesianDEB/issues
Encoding: UTF-8
SystemRequirements: CmdStan (https://mc-stan.org/users/interfaces/cmdstan)
Depends: R (>= 4.1.0)
Imports: posterior (>= 1.5.0), rlang (>= 1.1.0), cli (>= 3.6.0), ggplot2 (>= 3.4.0), bayesplot (>= 1.10.0), deSolve (>= 1.40), stats, utils
Suggests: cmdstanr (>= 0.8.0), testthat (>= 3.0.0), loo (>= 2.6.0), digest, dplyr (>= 1.1.0), tidyr (>= 1.3.0), knitr, rmarkdown, withr
Additional_repositories: https://stan-dev.r-universe.dev
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-04-18 13:50:48 UTC; branimir
Author: Branimir K. Hackenberger [aut, cre], Tamara Djerdj [aut], Domagoj K. Hackenberger [aut]
Maintainer: Branimir K. Hackenberger <branimir@sciom.hr>
Repository: CRAN
Date/Publication: 2026-04-21 19:42:25 UTC

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New package AntsNet with initial version 1.0.0
Package: AntsNet
Title: Unified Simulation of Isomorphisms Between Ant Colony Intelligence and Machine Learning
Version: 1.0.0
Description: Implements the full suite of simulation, visualization, and analysis tools for exploring the mathematical isomorphisms between ant colony decision-making and three major paradigms of machine learning: random forests (Part I: variance reduction through decorrelation), boosting (Part II: bias reduction through adaptive recruitment), and neural networks (Part III: gradient-based generational learning). Accompanies the trilogy "Isomorphic Functionalities between Ant Colony and Ensemble Learning" (Fokoué, Babbitt, and Levental, 2026, <doi:10.48550/arXiv.2603.20328>, <doi:10.48550/arXiv.2604.00038>).
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/ylevental/IsomorphismSim_Full
BugReports: https://github.com/ylevental/IsomorphismSim_Full/issues
Depends: R (>= 4.1.0)
Imports: stats, graphics, grDevices, ranger, ggplot2, dplyr, tidyr, patchwork, viridis, ggpubr
Suggests: shiny, cowplot, knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-04-16 19:24:21 UTC; ylevental
Author: Yuval Levental [aut, cre], Gregory Babbitt [aut], Ernest Fokoue [aut]
Maintainer: Yuval Levental <yhl3051@rit.edu>
Repository: CRAN
Date/Publication: 2026-04-21 19:02:41 UTC

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New package AbSolution with initial version 1.0.0
Package: AbSolution
Title: Interactive Feature-Based Analysis of AIRR-Seq Data
Version: 1.0.0
Description: An interactive framework for the exploration and analysis of adaptive immune receptor repertoire sequencing (AIRR-seq) data. It enables large-scale computation and integrated analysis of sequence-derived features, including physicochemical properties, amino acid descriptor sets, sequence motifs, compositional patterns, and somatic hypermutation metrics. The application supports multiscale analysis across sequences, clones, and repertoires, with interactive visualizations and statistical feature selection. 'AbSolution' also facilitates reproducible research by enabling structured export of data, code, parameters, and computational environments. See <https://github.com/EDS-Bioinformatics-Laboratory/AbSolution> for more details.
License: GPL (>= 3)
URL: https://github.com/EDS-Bioinformatics-Laboratory/AbSolution, https://eds-bioinformatics-laboratory.github.io/AbSolution/
BugReports: https://github.com/EDS-Bioinformatics-Laboratory/AbSolution/issues
Depends: R (>= 4.4.0)
Imports: alakazam, attachment, benchmarkme, bigassertr, bigparallelr, bigstatsr, Biostrings, bs4Dash, callr, colourpicker, config (>= 0.3.2), dashboardthemes, data.table, dockerfiler, doParallel, dplyr, DT, foreach, fresh, fs, ggplot2, golem (>= 0.4.1), grDevices, htmlwidgets, IRanges, iterors, knitr, parallel, Peptides, plotly, pwalign, reactable, rlang, rmarkdown, seqinr, shiny (>= 1.7.4), shinycssloaders, shinyFiles, shinyjs, shinymanager, shinymeta, shinythemes, shinyWidgets, sortable, stats, stringdist, stringr, sunburstR, tools, umap, upsetjs, utils, viridis, xfun
Suggests: testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-04-17 09:32:04 UTC; rgarcia
Author: Rodrigo Garcia-Valiente [cre, aut] , Charisios Triantafyllou [aut] , Antoine van Kampen [aut, ths]
Maintainer: Rodrigo Garcia-Valiente <r.garciavaliente@amsterdamumc.nl>
Repository: CRAN
Date/Publication: 2026-04-21 19:22:25 UTC

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New package ukhousing with initial version 0.1.0
Package: ukhousing
Title: Access UK Housing Data from Land Registry, EPC, and Planning
Version: 0.1.0
Description: Fetch UK housing data from official sources. Access the UK House Price Index and Price Paid Data from 'HM Land Registry' <https://landregistry.data.gov.uk/>, domestic and non-domestic Energy Performance Certificates from the 'MHCLG' Open Data service <https://epc.opendatacommunities.org/>, and planning application, brownfield land, and local plan data from 'planning.data.gov.uk' <https://www.planning.data.gov.uk/>. Data covers all 441 UK local authorities from 1995 to the present. Functions accept flexible filters (postcode, local authority, property type, date range) and return tidy data frames. Downloaded data is cached locally for subsequent calls.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: cli (>= 3.6.0), httr2 (>= 1.0.0), jsonlite, tools, utils
Suggests: sf, testthat (>= 3.0.0)
URL: https://github.com/charlescoverdale/ukhousing
BugReports: https://github.com/charlescoverdale/ukhousing/issues
NeedsCompilation: no
Packaged: 2026-04-15 13:01:56 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 18:10:02 UTC

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New package TwoStepSDFM with initial version 0.2.0
Package: TwoStepSDFM
Title: Estimate a Sparse Mixed Frequency Gaussian Factor Model Using a Two-Step Procedure
Version: 0.2.0
Maintainer: Domenic Franjic <franjic@uni-hohenheim.de>
Description: Estimate a sparse Gaussian state-space model with mixed frequency data via sparse principal components analysis and the Kalman filter and smoother. For more details see Franjic and Schweikert (2024) <doi:10.2139/ssrn.4733872>.
License: GPL-3
Encoding: UTF-8
Imports: Rcpp (>= 1.0.8), zoo, xts, lubridate, ggplot2, patchwork, doSNOW, doParallel, foreach, parallel, Rdpack, grDevices, withr
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 4.0)
LazyData: TRUE
Packaged: 2026-04-16 13:25:10 UTC; Domen
Author: Domenic Franjic [aut, cre]
Repository: CRAN
Date/Publication: 2026-04-21 18:42:34 UTC

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New package swjm with initial version 0.1.0
Package: swjm
Title: Stagewise Variable Selection for Joint Models of Semi-Competing Risks
Version: 0.1.0
Description: Implements stagewise regression for variable selection in joint models of recurrent events and terminal events (semi-competing risks). Supports two model frameworks: the joint frailty model (Cox-type) and the joint scale-change model (AFT-type). Provides cooperative lasso, lasso, and group lasso penalties with cross-validation for tuning parameter selection via cross-fitted estimating equations.
Depends: R (>= 3.5.0)
License: GPL (>= 3)
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, Matrix, stats, reReg
Suggests: testthat (>= 3.0.0), survival, timeROC, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-04-16 13:00:19 UTC; huling
Author: Jared D. Huling [aut, cre], Lingfeng Huo [aut], Ziren Jiang [aut], Jue Hou [aut], Sy Han Chiou [ctb], Chiung-Yu Huang [ctb]
Maintainer: Jared D. Huling <jaredhuling@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 18:50:09 UTC

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New package survkl with initial version 1.0.0
Package: survkl
Title: Estimate Survival Data with Data Integration
Version: 1.0.0
URL: https://um-kevinhe.github.io/survkl/
Description: Provides flexible and efficient tools for integrating external risk scores into Cox proportional hazards models while accounting for population heterogeneity. Enables robust estimation, improved predictive accuracy, and user-friendly workflows for modern survival analysis. For more information, see Wang et al. (2023) <doi:10.48550/arXiv.2302.11123>.
Encoding: UTF-8
LazyData: true
License: GPL-3
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Imports: Rcpp, ggplot2, stats, cowplot, Matrix, rlang
Depends: R (>= 4.0)
Suggests: knitr, rmarkdown, survival
VignetteBuilder: knitr
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2026-04-15 04:14:01 UTC; emilyliu
Author: Yubo Shao [aut, cre], Lingfeng Luo [aut], Xiaohan Liu [aut], Junyi Qiu [aut], Di Wang [aut], Kevin He [aut]
Maintainer: Yubo Shao <ybshao@umich.edu>
Repository: CRAN
Date/Publication: 2026-04-21 18:00:02 UTC

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New package supabaseR with initial version 1.0.0
Package: supabaseR
Title: 'CRUD' Utils in 'R' for 'Supabase'
Version: 1.0.0
Description: An dual-paradigm interface to 'Supabase' (<https://supabase.com/>), an open-source backend-as-a-service platform. Provides comprehensive database operations including Create, Read, Update, Delete ('CRUD') functionality through both REST API endpoints and direct 'PostgreSQL' database connections. Simplifies authentication, data management, and schema operations for 'Supabase' projects.
License: MIT + file LICENSE
URL: https://deepanshkhurana.github.io/supabaseR/, https://github.com/DeepanshKhurana/supabaseR
BugReports: https://github.com/DeepanshKhurana/supabaseR/issues
Encoding: UTF-8
Language: en-US
Imports: checkmate, cli, DBI, dplyr, glue, httr2, RPostgres
Suggests: jsonlite, mockery, testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-04-15 10:45:17 UTC; deepanshkhurana
Author: Deepansh Khurana [aut, cre], Maciej Banas [aut]
Maintainer: Deepansh Khurana <deepanshkhurana@outlook.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-04-21 18:10:09 UTC

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Package rsimsum updated to version 0.13.1 with previous version 0.13.0 dated 2024-03-03

Title: Analysis of Simulation Studies Including Monte Carlo Error
Description: Summarise results from simulation studies and compute Monte Carlo standard errors of commonly used summary statistics. This package is modelled on the 'simsum' user-written command in 'Stata' (White I.R., 2010 <https://www.stata-journal.com/article.html?article=st0200>), further extending it with additional performance measures and functionality.
Author: Alessandro Gasparini [cre, aut] , Ian R. White [aut]
Maintainer: Alessandro Gasparini <alessandro@ellessenne.xyz>

Diff between rsimsum versions 0.13.0 dated 2024-03-03 and 0.13.1 dated 2026-04-21

 DESCRIPTION                               |   54 
 MD5                                       |  141 +-
 NAMESPACE                                 |   15 
 NEWS.md                                   |   10 
 R/autoplot.multisimsum.R                  |   50 
 R/autoplot.simsum.R                       |  306 ++++-
 R/autoplot.summary.multisimsum.R          |   29 
 R/autoplot.summary.simsum.R               |   27 
 R/compact-method-column.R                 |    5 
 R/data.R                                  |    2 
 R/deprecated-get_data.R                   |   41 
 R/dropbig.R                               |   39 
 R/kable.R                                 |   28 
 R/multisimsum.R                           |  118 +-
 R/nsim.R                                  |    4 
 R/performance.R                           |  234 +++
 R/plot-types.R                            |  317 ++++-
 R/print.multisimsum.R                     |   21 
 R/print.simsum.R                          |   21 
 R/print.summary.multisimsum.R             |   49 
 R/print.summary.simsum.R                  |   24 
 R/rsimsum-package.R                       |   30 
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 R/summary.multisimsum.R                   |   38 
 R/summary.simsum.R                        |   38 
 R/tidy.R                                  |   38 
 R/utils.R                                 |  199 ++-
 README.md                                 |   16 
 build/partial.rdb                         |binary
 build/vignette.rds                        |binary
 inst/doc/A-introduction.Rmd               |   78 -
 inst/doc/A-introduction.html              |  187 +--
 inst/doc/B-relhaz.R                       |    4 
 inst/doc/B-relhaz.html                    |   19 
 inst/doc/C-plotting.html                  |   55 
 inst/doc/D-nlp.html                       |    9 
 inst/doc/E-custom-inputs.html             |    7 
 inst/doc/F-rsimsumtidyverse.html          |   15 
 man/MIsim.Rd                              |    2 
 man/figures/README-ba-1.png               |binary
 man/figures/README-density-1.png          |binary
 man/figures/README-hex-1.png              |binary
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 man/figures/README-zipper-1.png           |binary
 tests/testthat/test-#15.R                 |  160 ++
 tests/testthat/test-#23.R                 |   69 -
 tests/testthat/test-#26.R                 |   87 +
 tests/testthat/test-#28.R                 |   55 
 tests/testthat/test-#31.R                 |   48 
 tests/testthat/test-#33.R                 |   59 -
 tests/testthat/test-#41.R                 |   40 
 tests/testthat/test-#45.R                 |    9 
 tests/testthat/test-#47.R                 |   10 
 tests/testthat/test-#55.R                 |   36 
 tests/testthat/test-#60.R                 |only
 tests/testthat/test-autoplot.R            | 1765 ++++++++++++++++++++++++------
 tests/testthat/test-ci.limits.R           |   65 +
 tests/testthat/test-dropbig.R             |  147 ++
 tests/testthat/test-get_data.R            |   34 
 tests/testthat/test-invisible-returns.R   |   33 
 tests/testthat/test-is.R                  |   36 
 tests/testthat/test-kable.R               |  446 ++++++-
 tests/testthat/test-multisimsum.R         |  322 ++++-
 tests/testthat/test-performance-math.R    |   73 +
 tests/testthat/test-simsum.R              |  310 ++++-
 tests/testthat/test-summary.multisimsum.R |  150 ++
 tests/testthat/test-summary.simsum.R      |  125 +-
 tests/testthat/test-tidy.R                |   34 
 tests/testthat/test-utils.R               |   76 +
 vignettes/A-introduction.Rmd              |   78 -
 72 files changed, 5586 insertions(+), 1232 deletions(-)

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New package roundRobinR with initial version 1.0.1
Package: roundRobinR
Title: Manipulate and Analyze Round Robin Dyadic Data
Version: 1.0.1
Description: Provides utilities for processing and analyzing dyadic data collected using a round-robin design, in which each person in a group rates or interacts with every other person on at least one variable. Data manipulation functions prepare datasets for dyadic data analysis by creating the actor and partner dummy variables required by the social relations model (SRM). Analysis functions implement the SRM using multilevel modeling via a custom 'nlme' covariance class ('pdSRM'), following the approach of Snijders and Kenny (1999) <doi:10.1111/j.1475-6811.1999.tb00204.x> and Knight and Humphrey (2019) <doi:10.1037/0000115-019>. The package estimates group, actor, partner, and relationship variance components along with generalized and dyadic reciprocity correlations, and supports both null and fixed-effects models.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: data.table (>= 1.14.0), nlme (>= 3.1-150), stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/andrewpknight/roundRobinR
BugReports: https://github.com/andrewpknight/roundRobinR/issues
NeedsCompilation: no
Packaged: 2026-04-16 19:01:32 UTC; apk
Author: Andrew Knight [aut, cre, cph]
Maintainer: Andrew Knight <knightap@wustl.edu>
Repository: CRAN
Date/Publication: 2026-04-21 18:52:23 UTC

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New package robustDIF with initial version 0.2.0
Package: robustDIF
Title: Differential Item Functioning Using Robust Scaling
Version: 0.2.0
Description: Provides tools for testing differential item functioning (DIF) and differential test functioning (DTF) in two-group item response theory models. The package estimates robust scaling parameters via iteratively reweighted least squares with Tukey's bisquare loss, and supports Wald-type tests of item-level and test-level differences from robust scaling parameters. Inputs can be supplied directly from model parameter/covariance objects or extracted from fitted 'mirt' and 'lavaan' models. Methods are described in Halpin (2022) <doi:10.48550/arXiv.2207.04598>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R(>= 3.5.0), Matrix
Imports: mirt, lavaan
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-04-16 13:50:06 UTC; peterhalpin
Author: Peter Halpin [aut, cre], Kyle Nickodem [ctb], James Eagle [ctb]
Maintainer: Peter Halpin <peter.halpin@unc.edu>
Repository: CRAN
Date/Publication: 2026-04-21 18:42:07 UTC

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Package RITCH readmission to version 0.1.30 with previous version 0.1.26 dated 2024-01-15

Title: Parser for the ITCH Protocol
Description: Efficiently parses, filters, and writes binary ITCH files (Version 5.0) containing detailed financial transactions as distributed by NASDAQ to a data.table. Includes functions to interact with NASDAQ data services at <https://emi.nasdaq.com/ITCH/> and <https://emi.nasdaq.com/ITCH/Stock_Locate_Codes/>.
Author: David Zimmermann-Kollenda [aut, cre]
Maintainer: David Zimmermann-Kollenda <david_j_zimmermann@hotmail.com>

This is a re-admission after prior archival of version 0.1.26 dated 2024-01-15

Diff between RITCH versions 0.1.26 dated 2024-01-15 and 0.1.30 dated 2026-04-21

 DESCRIPTION                         |   12 
 LICENSE                             |    4 
 MD5                                 |   66 -
 NEWS.md                             |  118 +-
 R/RcppExports.R                     |   54 -
 R/count_functions.R                 |  630 +++++++-------
 R/data_samples.R                    |  312 +++----
 R/download_stock_directory.R        |  168 +--
 R/filter_itch.R                     |  376 ++++----
 R/globals.R                         |   10 
 R/gz_functions.R                    |  233 ++---
 R/helpers.R                         |  596 +++++++------
 R/read_functions.R                  | 1549 +++++++++++++++++-------------------
 R/write_itch.R                      |    9 
 R/zzz.R                             |   72 -
 README.md                           | 1034 ++++++++++++------------
 inst/tinytest/test_filter_itch.R    |  806 +++++++++---------
 inst/tinytest/test_gz_functions.R   |   66 -
 inst/tinytest/test_read_functions.R |  959 +++++++++++-----------
 inst/tinytest/test_write_itch.R     |  240 ++---
 man/count_functions.Rd              |   11 
 man/download_sample_file.Rd         |  114 +-
 man/download_stock_directory.Rd     |   81 -
 man/filter_itch.Rd                  |    5 
 man/get_msg_classes.Rd              |    2 
 man/gz_functions.Rd                 |   12 
 man/list_sample_files.Rd            |   40 
 man/open_itch_sample_server.Rd      |   40 
 man/open_itch_specification.Rd      |   41 
 man/read_functions.Rd               |   22 
 src/count_messages.cpp              |   20 
 src/filter_itch.cpp                 |   20 
 src/read_functions.cpp              |   20 
 tests/tinytests.R                   |   27 
 34 files changed, 3934 insertions(+), 3835 deletions(-)

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New package qarPI with initial version 0.1.0
Package: qarPI
Title: Prediction Intervals for Quantile Autoregression
Version: 0.1.0
Description: Provides prediction intervals for classical homoscedastic autoregressive models (AR(p)) and quantile autoregressive models (QAR(p)). The package implements percentile-based and predictive-root-based bootstrap procedures for constructing multi-step-ahead prediction intervals. For more details, see Novo and Sanchez-Sellero (2025) <doi:10.48550/arXiv.2512.22018>.
License: GPL-3
Encoding: UTF-8
Imports: stats, quantreg
URL: https://github.com/SilviaNovo/qarPI
BugReports: https://github.com/SilviaNovo/qarPI/issues
NeedsCompilation: no
Packaged: 2026-04-15 18:26:59 UTC; SNOVO
Author: Silvia Novo [aut, cre], Cesar Sanchez-Sellero [aut]
Maintainer: Silvia Novo <snovo@est-econ.uc3m.es>
Repository: CRAN
Date/Publication: 2026-04-21 18:32:07 UTC

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New package PNADCperiods with initial version 0.1.1
Package: PNADCperiods
Title: Identify Reference Periods in Brazil's PNADC Survey Data
Version: 0.1.1
Description: Identifies reference periods (months, fortnights, and weeks) in Brazil's quarterly PNADC (Pesquisa Nacional por Amostra de Domicilios Continua) survey data and computes calibrated weights for sub-quarterly analysis. The core algorithm uses IBGE (Instituto Brasileiro de Geografia e Estatistica) 'Parada Tecnica' (technical break) rules combined with respondent birthdates to determine which temporal period each survey observation refers to. Period identification follows a nested hierarchy enforced by construction: fortnights require months, weeks require fortnights. Achieves approximately 97% monthly determination rate with the full series (2012-2025). Strict fortnight and week rates are approximately 9% and 3% respectively, as they cannot leverage cross-quarter panel aggregation. Experimental strategies (probabilistic assignment and UPA (Primary Sampling Unit) aggregation) further improve these determination rates. The package provides adaptive hierarchical weight calibration (4/2/1 cell [...truncated...]
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: data.table (>= 1.14.0), checkmate (>= 2.0.0), sidrar (>= 0.2.9), lubridate (>= 1.9.4)
Suggests: dplyr, fst, haven, testthat (>= 3.0.0), knitr, rmarkdown, pkgdown, ggplot2, scales
VignetteBuilder: knitr
URL: https://antrologos.github.io/PNADCperiods/, https://github.com/antrologos/PNADCperiods
BugReports: https://github.com/antrologos/PNADCperiods/issues
NeedsCompilation: no
Packaged: 2026-04-15 18:54:35 UTC; antro
Author: Rogerio Barbosa [aut, cre] , Marcos Hecksher [aut]
Maintainer: Rogerio Barbosa <rogerio.barbosa@iesp.uerj.br>
Repository: CRAN
Date/Publication: 2026-04-21 18:42:40 UTC

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New package OofAExp with initial version 0.1.0
Package: OofAExp
Title: Order-of-Addition Experiments
Version: 0.1.0
Description: Order-of-addition experiments are often conducted to address research questions in many real-world studies. This package provides a comprehensive toolbox for researchers and practitioners to design and analyze order-of-addition experiments. Detailed comparisons and summary of all statistical methods in this package can be found in Tsai (2026), "Order-of-addition experiments in R using OofAExp", Journal of Quality Technology (to appear).
Imports: AlgDesign, gmp, gtools, MASS, Matrix, unrepx, utils
NeedsCompilation: no
Depends: R (>= 2.10)
LazyData: TRUE
Encoding: UTF-8
License: GPL-2
Packaged: 2026-04-16 11:13:13 UTC; shin-fu
Author: Shin-Fu Tsai [aut, cre]
Maintainer: Shin-Fu Tsai <shinfu@ntu.edu.tw>
Repository: CRAN
Date/Publication: 2026-04-21 18:02:32 UTC

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New package OnlineSurr with initial version 0.0.3
Package: OnlineSurr
Title: Surrogate Evaluation for Jointly Longitudinal Outcome and Surrogate
Version: 0.0.3
Description: Tools for surrogate evaluation in longitudinal studies using state-space models. The package estimates treatment effects over time with and without adjustment for surrogate information, summarizes the proportion of treatment effect explained by a longitudinal surrogate, quantifies uncertainty via bootstrap resampling, and provides plotting and summary utilities for fitted models.
License: GPL (>= 3)
Encoding: UTF-8
Imports: kDGLM (>= 1.2.14), dplyr, ggplot2, tidyr, rlang, Rfast, stats, latex2exp, Rdpack
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://silvaneojunior.github.io/OnlineSurr/
Repository: CRAN
BugReports: https://github.com/silvaneojunior/OnlineSurr/issues
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-04-15 07:34:08 UTC; Silvaneo
Author: Silvaneo dos Santos Jr. [aut, cre], Layla Parast [aut]
Maintainer: Silvaneo dos Santos Jr. <silvaneojunior@utexas.edu>
Date/Publication: 2026-04-21 18:02:37 UTC

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New package netsubsamp with initial version 1.0.0
Package: netsubsamp
Title: Multivariate Inference of Network Moments by Subsampling
Version: 1.0.0
Description: Implements node subsampling methods for multivariate inference on network moments (rescaled motif counts), including: uniform node subsampling to approximate the joint distribution of multiple network moments (Algorithm 1); externally sparsified moments for density-matched comparisons (Algorithm 2); and a two-sample test for unmatchable networks with unequal edge densities via a split-and-sparsify subsampling procedure (Algorithm 3). Built-in support for V-shape (2-star), triangle, and 3-star motifs, with a user-extensible interface for arbitrary additional motifs. Parallel execution is supported via 'doParallel' and 'foreach'. Based on Qi, Hua, Li and Zhou (2024) <doi:10.48550/arXiv.2409.01599>.
License: GPL-3
Encoding: UTF-8
Imports: foreach, doParallel, parallel, stats
Suggests: Matrix, randnet, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-04-15 14:32:26 UTC; tianxili
Author: Mingyu Qi [aut], Chen-Wei Hua [aut], Tianxi Li [aut, cre], Wen Zhou [aut]
Maintainer: Tianxi Li <tianxili@umn.edu>
Repository: CRAN
Date/Publication: 2026-04-21 18:22:07 UTC

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New package mt.surv with initial version 1.1.1
Package: mt.surv
Title: Multi-Threshold Survival Analysis
Version: 1.1.1
Description: Implements survival analyses across multiple abundance thresholds, repeatedly partitioning samples into groups and evaluating survival differences to assess taxonomic associations with outcomes.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat, rmarkdown, survminer
Imports: dplyr, survival, broom, forcats, purrr, tidyr, ggplot2, magrittr
NeedsCompilation: no
Packaged: 2026-04-16 13:51:05 UTC; alexloncar
Author: Rebecca Hoyd [aut] , Alexander Loncar [aut, cre] , YunZhou Liu [aut] , Caroline Wheeler [aut], Daniel Spakowicz [aut]
Maintainer: Alexander Loncar <alexander.loncar@osumc.edu>
Repository: CRAN
Date/Publication: 2026-04-21 18:42:13 UTC

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New package Meanimiles with initial version 0.1.0
Package: Meanimiles
Title: Estimation of Meanimiles
Version: 0.1.0
Description: Provides a comprehensive suite of estimation tools for meanimiles, a general class of (risk) functionals. This package includes nonparametric estimators for univariate meanimile evaluation, copula-based estimation for portfolio risk aggregation (full parametric, semiparametric, and nonparametric), and novel estimators for meanimiles in regression settings. Following the articles D. Debrauwer, I. Gijbels, and K. Herrmann (2025) <doi:10.1214/25-EJS2391>, D. Debrauwer and I. Gijbels (2026) <doi:10.1007/s00184-026-01022-9>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/DieterDebrauwer/Meanimiles
BugReports: https://github.com/DieterDebrauwer/Meanimiles/issues
Depends: R (>= 4.5.0)
Imports: copula (>= 1.1.7), fitdistrplus (>= 1.2.6), stats
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-04-16 14:24:40 UTC; u0156046
Author: Dieter Debrauwer [aut, cre, cph] , Irene Gijbels [ctb] , Klaus Herrmann [ctb]
Maintainer: Dieter Debrauwer <dieter.debrauwer@kuleuven.be>
Repository: CRAN
Date/Publication: 2026-04-21 18:42:45 UTC

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New package idionomics with initial version 0.1.0
Package: idionomics
Title: Conduct Idionomic Analyses for Time Series Modeling
Version: 0.1.0
Description: A toolkit for idionomic science, a research philosophy that places the unit of the ensemble (individual/couple/group) at the center of analysis. Rather than assuming a common distribution, a similar enough process for each unit, and fitting a single model to the whole ensemble, idionomic methods model each unit separately, then aggregate upward if sensible. The group-level picture emerges from individual results, not the other way around, while explicitly evaluating whether aggregation is reasonable given the measured level of heterogeneity of effects. The package is built around intensive longitudinal data where each participant contributes a time series. It provides a pipeline from preprocessing through modeling to group-level summaries. Current functions: data quality screening (i_screener()), within-person standardization (pmstandardize()), linear detrending (i_detrender()), per-subject ARIMAX (AutoRegressive Integrated Moving Average with eXogenous inputs) modeling and meta-analys [...truncated...]
URL: https://github.com/cristobalehc/idionomics
BugReports: https://github.com/cristobalehc/idionomics/issues
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: broom, dplyr, forcats, forecast, ggplot2, metafor, rlang, stats, tibble, tidyr
Suggests: knitr, rmarkdown, testthat (>= 3.2.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-16 13:29:05 UTC; cristobalhernandez
Author: Cristobal Hernandez [cre, aut], Joseph Ciarrochi [aut], Steven Hayes [aut], Baljinder Sahdra [aut]
Maintainer: Cristobal Hernandez <cristobal.ehc@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 18:42:18 UTC

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New package ctrlvee with initial version 0.1.0
Package: ctrlvee
Title: Extract External 'R' Code and Insert Inline
Version: 0.1.0
Description: An 'RStudio' and 'Positron' add-in that prompts the user for a web 'URL', fetches the page content, extracts 'R' code chunks, and inserts those code chunks into the active editor at the current cursor position. Supports extraction of raw 'Markdown' or 'Quarto' source files, 'GitHub' Gist and rendered 'HTML' pages that have markup elements with 'R'-related classes.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rstudioapi, httr2, xml2, purrr, magrittr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/vpnagraj/ctrlvee
BugReports: https://github.com/vpnagraj/ctrlvee/issues
NeedsCompilation: no
Packaged: 2026-04-16 01:02:56 UTC; vpn
Author: VP Nagraj [aut, cre, cph]
Maintainer: VP Nagraj <nagraj@nagraj.net>
Repository: CRAN
Date/Publication: 2026-04-21 18:02:14 UTC

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New package censo2022arg with initial version 1.0.1
Package: censo2022arg
Title: Extraction and Analysis of 2022 Argentina Census Microdata from REDATAM Databases
Version: 1.0.1
Description: Provides tools to extract, label, and read microdata from the 2022 National Census of Population, Households and Dwellings of Argentina stored in REDATAM databases officially distributed by INDEC. Implements a complete province-by-province extraction pipeline with efficient memory management, reconstruction of hierarchical identifiers, automatic variable labeling from official INDEC dictionaries, and integrity verification against published totals. Allows working with census data directly in R without knowledge of REDATAM syntax, and supports export to multiple formats including Parquet, CSV, SPSS and SAS. Census data must be downloaded directly from the official INDEC portal (<https://www.indec.gob.ar>). This package does not distribute census data. Duran (2026) <doi:10.5281/zenodo.19560728>.
License: GPL (>= 3)
Encoding: UTF-8
Language: es
Depends: R (>= 4.1.0)
Imports: redatamx, callr (>= 3.7.0), arrow, data.table, haven, readxl, dplyr
Suggests: tibble, testthat (>= 3.0.0), knitr, rmarkdown
LinkingTo: cpp11
VignetteBuilder: knitr
URL: https://github.com/RodriDuran/censo2022arg
BugReports: https://github.com/RodriDuran/censo2022arg/issues
NeedsCompilation: yes
Packaged: 2026-04-15 19:39:09 UTC; LABOTERMO
Author: Rodrigo Javier Duran [aut, cre] , Jaime Salvador [ctb] ), CELADE - Centro Latinoamericano y Caribeno de Demografia [cph]
Maintainer: Rodrigo Javier Duran <rodrigo.duran@exa.unsa.edu.ar>
Repository: CRAN
Date/Publication: 2026-04-21 18:42:24 UTC

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New package causalWins with initial version 0.1.0
Package: causalWins
Title: Compute the Causal Win Ratio Using Nearest Neighbor Matching
Version: 0.1.0
Description: Based on “Rethinking the Win Ratio: A Causal Framework for Hierarchical Outcome Analysis” (M. Even and J. Josse, 2025), this package provides implementations of three approaches - nearest neighbor matching, distributional regression forests, and efficient influence functions - to estimate the causal win ratio, win proportion, and net benefit.
Encoding: UTF-8
License: AGPL (>= 3)
Imports: drf, FactoMineR, grf, MatchIt
Suggests: knitr, rmarkdown, WINS, MASS
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-15 13:43:40 UTC; fdelimaa
Author: Francisco Andrade [aut], Mathieu Even [aut, cre], Julie Josse [aut]
Maintainer: Mathieu Even <mathieu.even@inria.fr>
Repository: CRAN
Date/Publication: 2026-04-21 18:22:13 UTC

More information about causalWins at CRAN
Permanent link

New package carbondata with initial version 0.1.0
Package: carbondata
Title: Access Carbon Market Data from Emissions Trading Systems and Voluntary Registries
Version: 0.1.0
Description: Unified access to carbon market data from compliance emissions trading systems ('EU ETS', 'UK ETS', 'RGGI', California Cap-and-Trade) and voluntary carbon markets (Verra, Gold Standard, American Carbon Registry, Climate Action Reserve, via the Berkeley Voluntary Registry Offsets Database and the 'CarbonPlan' 'OffsetsDB' API). Includes cross-market price data from the 'International Carbon Action Partnership' ('ICAP') Allowance Price Explorer <https://icapcarbonaction.com/en/ets-prices>, global carbon pricing from the World Bank Carbon Pricing Dashboard <https://carbonpricingdashboard.worldbank.org/>, and the historical 'RFF' World Carbon Pricing Database following Dolphin, Pollitt and Newbery (2020) <doi:10.1038/s41597-022-01659-x>. Data is downloaded from public sources on first use and cached locally.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: cli (>= 3.6.0), httr2 (>= 1.0.0), jsonlite, readxl, tools, utils
Suggests: arrow, nanoparquet, testthat (>= 3.0.0)
URL: https://github.com/charlescoverdale/carbondata
BugReports: https://github.com/charlescoverdale/carbondata/issues
NeedsCompilation: no
Packaged: 2026-04-15 18:56:57 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 18:42:29 UTC

More information about carbondata at CRAN
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Package bs4Dashkit updated to version 0.2.0 with previous version 0.1.0 dated 2026-03-10

Title: Branding, Theme Application and Navigation Utilities for 'bs4Dash' Dashboards
Description: Provides branding, theme application, and navigation utilities for applications built with 'bs4Dash' and 'shiny'. Supports configurable sidebar brand display modes, hover-expand behavior, and theme customization using CSS variables. Includes standardized navigation components such as refresh and help controls, along with helpers for common navigation bar and footer layouts.
Author: George Arthur [aut, cre]
Maintainer: George Arthur <prigasgenthian48@gmail.com>

Diff between bs4Dashkit versions 0.1.0 dated 2026-03-10 and 0.2.0 dated 2026-04-21

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Permanent link

New package BayesianQDM with initial version 0.1.0
Package: BayesianQDM
Title: Bayesian Quantitative Decision-Making Framework for Binary and Continuous Endpoints
Version: 0.1.0
Description: Provides comprehensive methods to calculate posterior probabilities, posterior predictive probabilities, and Go/NoGo/Gray decision probabilities for quantitative decision-making under a Bayesian paradigm in clinical trials. The package supports both single and two-endpoint analyses for binary and continuous outcomes, with controlled, uncontrolled, and external designs. For single continuous endpoints, three calculation methods are available: numerical integration (NI), Monte Carlo simulation (MC), and Moment-Matching approximation (MM). For two continuous endpoints, a bivariate Normal-Inverse-Wishart conjugate model is implemented with MC and MM methods. For two binary endpoints, a Dirichlet-multinomial model is implemented. External designs incorporate historical data through power priors using exact conjugate representations (Normal-Inverse-Chi-squared for single continuous, Normal-Inverse-Wishart for two continuous, and Dirichlet for binary endpoints), enabling closed-form posterior [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
Language: en-US
Imports: ggplot2 (>= 3.4.0), gridExtra, mvtnorm, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, dplyr, tidyr, purrr, spelling
VignetteBuilder: knitr
URL: https://gosukehommaEX.github.io/BayesianQDM/, https://github.com/gosukehommaEX/BayesianQDM
BugReports: https://github.com/gosukehommaEX/BayesianQDM/issues
NeedsCompilation: no
Packaged: 2026-04-16 12:04:09 UTC; i_lik
Author: Gosuke Homma [aut, cre], Yusuke Yamaguchi [aut]
Maintainer: Gosuke Homma <my.name.is.gosuke@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 18:12:38 UTC

More information about BayesianQDM at CRAN
Permanent link

New package agriDQ with initial version 0.1.3
Package: agriDQ
Title: Data Quality Checks and Statistical Assumption Testing for Agricultural Experiments
Version: 0.1.3
Description: Provides a comprehensive pipeline for data quality checks and statistical assumption diagnostics in agricultural experimental data. Functions cover outlier detection using Interquartile Range (IQR) fence, Z-score, modified Z-score (Hampel identifier), Grubbs test and Dixon Q-test with consensus flagging; missing data pattern analysis and mechanism classification (Missing Completely At Random/Missing At Random/Missing Not At Random (MCAR/MAR/MNAR)) via Little's test; normality testing using Shapiro-Wilk, Anderson-Darling, Kolmogorov-Smirnov, Lilliefors, Pearson chi-square and Jarque-Bera tests; homogeneity of variance via Bartlett, Levene and Fligner-Killeen tests; independence of errors via Durbin-Watson, Breusch-Godfrey and Wald-Wolfowitz runs tests; experimental design validation for Completely Randomised Design (CRD), Randomised Complete Block Design (RCBD), Latin Square Design (LSD) and factorial designs; qualitative variable consistency checks; and automated HyperText Markup Langu [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1.0)
Imports: stats, graphics, grDevices, utils, nortest, car, lmtest, tseries, stringdist
Suggests: testthat (>= 3.0.0), covr, MASS
NeedsCompilation: no
Packaged: 2026-04-16 10:14:50 UTC; acer
Author: Sadikul Islam [aut, cre]
Maintainer: Sadikul Islam <sadikul.islamiasri@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 18:02:25 UTC

More information about agriDQ at CRAN
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New package adjoin with initial version 0.1.0
Package: adjoin
Title: Constructing Adjacency Matrices Based on Spatial and Feature Similarity
Version: 0.1.0
Description: Constructs sparse adjacency matrices from spatial coordinates, feature measurements, class labels, and temporal indices. Supports nearest-neighbor graphs, heat-kernel weights, graph Laplacians, diffusion operators, and bilateral smoothers for graph-based data analysis, following spectral graph methods in von Luxburg (2007) <doi:10.1007/s11222-007-9033-z>, diffusion maps in Coifman and Lafon (2006) <doi:10.1016/j.acha.2006.04.006>, and bilateral filtering in Tomasi and Manduchi (1998) <doi:10.1109/ICCV.1998.710815>.
Depends: R (>= 4.0.0)
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/bbuchsbaum/adjoin
BugReports: https://github.com/bbuchsbaum/adjoin/issues
Imports: Rcpp (>= 0.11.3), Matrix, assertthat, Rnanoflann, chk, RSpectra, igraph, parallel, stats, methods, utils, mgcv, proxy, corpcor
Suggests: testthat (>= 3.0.0), RcppHNSW (>= 0.6.0), knitr, rmarkdown, furrr, crayon, ggplot2
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2026-04-16 11:27:15 UTC; bbuchsbaum
Author: Bradley R. Buchsbaum [aut, cre]
Maintainer: Bradley R. Buchsbaum <brad.buchsbaum@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 18:12:30 UTC

More information about adjoin at CRAN
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Package puremoe updated to version 1.0.4 with previous version 1.0.3 dated 2026-01-26

Title: Pubmed Unified REtrieval for Multi-Output Exploration
Description: Access a variety of 'PubMed' data through a single, user-friendly interface, including abstracts, bibliometrics from 'iCite', pubtations from 'PubTator3', and full-text records from 'PMC'.
Author: Jason Timm [aut, cre]
Maintainer: Jason Timm <JaTimm@salud.unm.edu>

Diff between puremoe versions 1.0.3 dated 2026-01-26 and 1.0.4 dated 2026-04-21

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New package maskedhaz with initial version 0.1.0
Package: maskedhaz
Title: Masked-Cause Likelihood Models for Series Systems with Arbitrary Hazard Components
Version: 0.1.0
Description: Likelihood-based inference for series systems with masked component cause of failure, using arbitrary dynamic failure rate component distributions. Computes log-likelihood, score, Hessian, and maximum likelihood estimates for masked data satisfying conditions C1, C2, C3 under general component hazard functions. Implements the 'series_md' protocol defined in the 'maskedcauses' package.
License: GPL (>= 3)
URL: https://github.com/queelius/maskedhaz, https://queelius.github.io/maskedhaz/
BugReports: https://github.com/queelius/maskedhaz/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.5.0)
Imports: serieshaz, flexhaz, algebraic.dist, likelihood.model, maskedcauses, generics, numDeriv, stats
Suggests: testthat (>= 3.0.0), algebraic.mle, hypothesize, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-15 23:02:58 UTC; spinoza
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>
Repository: CRAN
Date/Publication: 2026-04-21 17:52:08 UTC

More information about maskedhaz at CRAN
Permanent link

Package GARCH.X updated to version 2.0 with previous version 1.0 dated 2025-06-17

Title: Estimation and Exogenous Covariate Selection for ARCH-m(X), Additive ARCH-m(x), and GARCH-X Models
Description: Estimates the parameters and nonparametric functions of an ARCH-m(X) model with exogenous covariates, estimates the parameters and nonparametric functions of an Additive ARCH-m(X) model with exogenous covariates, estimates the parameters of a GARCH-X model with exogenous covariates, performs hypothesis tests for the covariates returning the p-values, and performs stepwise variable selection on the exogenous covariates, and uses False Discovery Rate p-value corrections to select the exogenous variables.
Author: Adriano Zambom [aut, cre], Vincent Alegrete [aut], Elijah Sagaran [aut], Avni Israni [aut]
Maintainer: Adriano Zambom <adriano.zambom@csun.edu>

Diff between GARCH.X versions 1.0 dated 2025-06-17 and 2.0 dated 2026-04-21

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Package moewishart updated to version 1.1 with previous version 1.0 dated 2026-02-19

Title: Mixture-of-Experts Wishart Models for Covariance Data
Description: Methods for maximum likelihood and Bayesian estimation for the Wishart mixture model and the mixture-of-experts Wishart (MoE-Wishart) model. The package provides four inference algorithms for these models, each implemented using the expectation–maximization (EM) algorithm for maximum likelihood estimation and a fully Bayesian approach via Gibbs-within-Metropolis–Hastings sampling.
Author: The Tien Mai [aut], Zhi Zhao [aut, cre]
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>

Diff between moewishart versions 1.0 dated 2026-02-19 and 1.1 dated 2026-04-21

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Package scellpam updated to version 1.4.7 with previous version 1.4.6.2 dated 2024-07-18

Title: Applying Partitioning Around Medoids to Single Cell Data with High Number of Cells
Description: PAM (Partitioning Around Medoids) algorithm application to samples of single cell sequencing techniques with a high number of cells (as many as the computer memory allows). The package uses a binary format to store matrices (either full, sparse or symmetric) in files written in the disk that can contain any data type (not just double) which allows its manipulation when memory is sufficient to load them as int or float, but not as double. The PAM implementation is done in parallel, using several/all the cores of the machine, if it has them. This package shares a great part of its code with packages 'jmatrix' and 'parallelpam' but their functionality is included here so there is no need to install them.
Author: Juan Domingo [aut, cre] , Guillermo Ayala [ctb] , Spanish Ministry of Science and Innovation, MCIN/AEI <doi:10.13039/501100011033> [fnd]
Maintainer: Juan Domingo <Juan.Domingo@uv.es>

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Permanent link

Package bpca updated to version 1.3-9 with previous version 1.3-8 dated 2025-09-10

Title: Biplot of Multivariate Data Based on Principal Components Analysis
Description: Implements biplot (2d and 3d) of multivariate data based on principal components analysis and diagnostic tools of the quality of the reduction.
Author: Jose C. Faria [aut, cre], Ivan B. Allaman [aut], Clarice G. B. Demetrio [aut]
Maintainer: Jose C. Faria <joseclaudio.faria@gmail.com>

Diff between bpca versions 1.3-8 dated 2025-09-10 and 1.3-9 dated 2026-04-21

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Package tidytlg updated to version 0.12.0 with previous version 0.11.0 dated 2025-12-19

Title: Create TLGs using the 'tidyverse'
Description: Generate tables, listings, and graphs (TLG) using 'tidyverse'. Tables can be created functionally, using a standard TLG process, or by specifying table and column metadata to create generic analysis summaries. The 'envsetup' package can also be leveraged to create environments for table creation.
Author: Nicholas Masel [aut], Steven Haesendonckx [aut], Pelagia Alexandra Papadopoulou [aut], Sheng-Wei Wang [aut], Eli Miller [aut] , Nathan Kosiba [aut] , Aidan Ceney [aut] , Janssen R&D [cph, fnd], David Hugh-Jones [cph] , Konrad Pagacz [aut, cre]
Maintainer: Konrad Pagacz <kpagacz@its.jnj.com>

Diff between tidytlg versions 0.11.0 dated 2025-12-19 and 0.12.0 dated 2026-04-21

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Package PP updated to version 0.6.4-1 with previous version 0.6.3-11 dated 2021-05-27

Title: Person Parameter Estimation
Description: The PP package includes estimation of (MLE, WLE, MAP, EAP, ROBUST) person parameters for the 1,2,3,4-PL model and the GPCM (generalized partial credit model). The parameters are estimated under the assumption that the item parameters are known and fixed. The package is useful e.g. in the case that items from an item pool / item bank with known item parameters are administered to a new population of test-takers and an ability estimation for every test-taker is needed.
Author: Jan Steinfeld [cre, aut] , Manuel Reif [aut]
Maintainer: Jan Steinfeld <jan.d.steinfeld@gmail.com>

Diff between PP versions 0.6.3-11 dated 2021-05-27 and 0.6.4-1 dated 2026-04-21

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More information about PP at CRAN
Permanent link

Package igraph updated to version 2.3.0 with previous version 2.2.3 dated 2026-04-07

Title: Network Analysis and Visualization
Description: Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.
Author: Gabor Csardi [aut] , Tamas Nepusz [aut] , Vincent Traag [aut] , Szabolcs Horvat [aut] , Fabio Zanini [aut] , Daniel Noom [aut], Kirill Mueller [aut, cre] , Michael Antonov [ctb], Chan Zuckerberg Initiative [fnd] , David Schoch [aut] , Maelle Salmon [a [...truncated...]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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More information about igraph at CRAN
Permanent link

Package lidR updated to version 4.3.2 with previous version 4.3.1 dated 2026-04-07

Title: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
Description: Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] , Florian De Boissieu [ctb] , Andrew Sanchez Meador [ctb] for segment_snags), Bourdon Jean-Francois [ctb] for track_sensor), Gatziolis Demetrios [ctb] for track_sensor), Leon Steinmeier [c [...truncated...]
Maintainer: Jean-Romain Roussel <info@r-lidar.com>

Diff between lidR versions 4.3.1 dated 2026-04-07 and 4.3.2 dated 2026-04-21

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 7 files changed, 42 insertions(+), 35 deletions(-)

More information about lidR at CRAN
Permanent link

Package stringfish updated to version 0.19.0 with previous version 0.18.0 dated 2026-01-18

Title: Alt String Implementation
Description: Provides an extendable, performant and multithreaded 'alt-string' implementation backed by 'C++' vectors and strings.
Author: Travers Ching [aut, cre, cph], Phillip Hazel [ctb] , Zoltan Herczeg [ctb, cph] , University of Cambridge [cph] , Tilera Corporation [cph] , Yann Collet [ctb, cph]
Maintainer: Travers Ching <traversc@gmail.com>

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Package SQRL updated to version 1.0.3 with previous version 1.0.2 dated 2023-12-02

Title: Enhances Interaction with 'ODBC' Databases
Description: Provides simple and powerful interfaces that facilitate interaction with 'ODBC' data sources. Each data source gets its own unique and dedicated interface, wrapped around 'RODBC'. Communication settings are remembered between queries, and are managed silently in the background. The interfaces support multi-statement 'SQL' scripts, which can be parameterised via metaprogramming structures and embedded 'R' expressions.
Author: Mike Lee [aut, cre]
Maintainer: Mike Lee <random.deviate@gmail.com>

Diff between SQRL versions 1.0.2 dated 2023-12-02 and 1.0.3 dated 2026-04-21

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Package oceanic updated to version 0.1.9 with previous version 0.1.8 dated 2025-01-09

Title: Location Identify Tool
Description: Determine the sea area where the fishing boat operates. The latitude and longitude of geographic coordinates are used to match oceanic areas and economic sea areas. You can plot the distribution map with dotplot() function. Please refer to Flanders Marine Institute (2020) <doi:10.14284/403>.
Author: shiao chih hao [aut, cre, ctb], chang shu ting [aut, ctb], wang shyh jiun [aut, ctb]
Maintainer: shiao chih hao <chihhao@ofdc.org.tw>

Diff between oceanic versions 0.1.8 dated 2025-01-09 and 0.1.9 dated 2026-04-21

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Package lmomco updated to version 2.5.5 with previous version 2.5.3 dated 2025-09-24

Title: L-Moments, Censored L-Moments, Trimmed L-Moments, L-Comoments, and Many Distributions
Description: Extensive functions for Lmoments (LMs) and probability-weighted moments (PWMs), distribution parameter estimation, LMs for distributions, LM ratio diagrams, multivariate Lcomoments, and asymmetric (asy) trimmed LMs (TLMs). Maximum likelihood and maximum product spacings estimation are available. Right-tail and left-tail LM censoring by threshold or indicator variable are available. LMs of residual (resid) and reversed (rev) residual life are implemented along with 13 quantile operators for reliability analyses. Exact analytical bootstrap estimates of order statistics, LMs, and LM var-covars are available. Harri-Coble Tau34-squared Normality Test is available. Distributions with L, TL, and added (+) support for right-tail censoring (RC) encompass: Asy Exponential (Exp) Power [L], Asy Triangular [L], Cauchy [TL], Eta-Mu [L], Exp. [L], Gamma [L], Generalized (Gen) Exp Poisson [L], Gen Extreme Value [L], Gen Lambda [L, TL], Gen Logistic [L], Gen Normal [L], Gen Pareto [L+RC, TL], Govindara [...truncated...]
Author: William Asquith [aut, cre]
Maintainer: William Asquith <william.asquith@ttu.edu>

Diff between lmomco versions 2.5.3 dated 2025-09-24 and 2.5.5 dated 2026-04-21

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Package KLINK updated to version 1.2.0 with previous version 1.1.0 dated 2025-05-12

Title: Kinship Analysis with Linked Markers
Description: A 'shiny' application for forensic kinship testing, based on the 'pedsuite' R packages. 'KLINK' is closely aligned with the (non-R) software 'Familias' and 'FamLink', but offers several unique features, including visualisations and automated report generation. The calculation of likelihood ratios supports pairs of linked markers, and all common mutation models.
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

Diff between KLINK versions 1.1.0 dated 2025-05-12 and 1.2.0 dated 2026-04-21

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Package parglm readmission to version 0.1.8 with previous version 0.1.7 dated 2021-10-14

Title: Parallel GLM
Description: Provides a parallel estimation method for generalized linear models without compiling with a multithreaded LAPACK or BLAS.
Author: Benjamin Christoffersen [aut] , Anthony Williams [cph], Boost developers [cph], Tom Palmer [aut, cre]
Maintainer: Tom Palmer <remlapmot@hotmail.com>

This is a re-admission after prior archival of version 0.1.7 dated 2021-10-14

Diff between parglm versions 0.1.7 dated 2021-10-14 and 0.1.8 dated 2026-04-21

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Package GGIR updated to version 3.3-6 with previous version 3.3-4 dated 2026-01-27

Title: Raw Accelerometer Data Analysis
Description: A tool to process and analyse data collected with wearable raw acceleration sensors as described in Migueles and colleagues (JMPB 2019), and van Hees and colleagues (JApplPhysiol 2014; PLoSONE 2015). The package has been developed and tested for binary data from 'GENEActiv' <https://activinsights.com/>, binary (.gt3x) and .csv-export data from 'Actigraph' <https://ametris.com/> devices, and binary (.cwa) and .csv-export data from 'Axivity' <https://axivity.com>. These devices are currently widely used in research on human daily physical activity. Further, the package can handle accelerometer data file from any other sensor brand providing that the data is stored in csv format. Also the package allows for external function embedding.
Author: Vincent T van Hees [aut, cre], Jairo H Migueles [aut] , Severine Sabia [ctb], Matthew R Patterson [ctb], Zhou Fang [ctb], Joe Heywood [ctb], Joan Capdevila Pujol [ctb], Lena Kushleyeva [ctb], Mathilde Chen [ctb], Manasa Yerramalla [ctb], Patrick Bos [...truncated...]
Maintainer: Vincent T van Hees <v.vanhees@accelting.com>

Diff between GGIR versions 3.3-4 dated 2026-01-27 and 3.3-6 dated 2026-04-21

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Package geneticae updated to version 1.0.1 with previous version 1.0.0 dated 2026-04-16

Title: Statistical Tools for the Analysis of Multi Environment Agronomic Trials
Description: Provides tools for the analysis of multi-environment agronomic trials, with a specific focus on plant breeding experiments. Implements the Additive Main effects and Multiplicative Interaction (AMMI) model (Gauch, 1992, ISBN:9780444892409) and the Site Regression (SREG) model (Cornelius, 1996, <doi:10.1201/9780367802226>). To ensure reliable results even with outliers or missing data, it includes robust versions of AMMI (Rodrigues et al., 2016, <doi:10.1093/bioinformatics/btv533>) and SREG (Angelini et al., 2022, <doi:10.1080/15427528.2022.2051217>). Furthermore, the package offers advanced imputation techniques for multi-environment data, covering classical methodologies (Arciniegas-Alarcón et al., 2014, <doi:10.2478/bile-2014-0006>) and recently published imputation methods for MET data (Angelini et al., 2024, <doi:10.1007/s10681-024-03344-z>).
Author: Julia Angelini [aut, cre] , Marcos Prunello [aut] , Gerardo Cervigni [aut]
Maintainer: Julia Angelini <jangelini_93@hotmail.com>

Diff between geneticae versions 1.0.0 dated 2026-04-16 and 1.0.1 dated 2026-04-21

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New package freestiler with initial version 0.1.6
Package: freestiler
Title: Create Vector Tiles from Spatial Data
Version: 0.1.6
Date: 2026-04-13
Description: Create vector tile archives in 'PMTiles' format from 'sf' spatial data frames. Supports 'Mapbox Vector Tile' ('MVT') and 'MapLibre Tile' ('MLT') output formats. Uses a 'Rust' backend via 'extendr' for fast, in-memory tiling with zero external system dependencies.
License: MIT + file LICENSE
URL: https://walker-data.com/freestiler/, https://github.com/walkerke/freestiler/
BugReports: https://github.com/walkerke/freestiler/issues
Encoding: UTF-8
Imports: sf
Suggests: arrow, DBI, duckdb, httpuv, jsonlite, mapgl, testthat (>= 3.0.0), withr
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.70
Depends: R (>= 4.2)
NeedsCompilation: yes
Packaged: 2026-04-14 14:46:38 UTC; kylewalker
Author: Kyle Walker [aut, cre]
Maintainer: Kyle Walker <kyle@walker-data.com>
Repository: CRAN
Date/Publication: 2026-04-21 10:52:20 UTC

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Package farr readmission to version 1.0.1 with previous version 1.0.0 dated 2025-11-17

Title: Data and Code for Empirical Research in Accounting
Description: Handy functions and data to support the course book 'Empirical Research in Accounting: Tools and Methods' (1st ed.). Chapman and Hall/CRC. <doi:10.1201/9781003456230> and <https://iangow.github.io/far_book/>.
Author: Ian Gow [aut, cre]
Maintainer: Ian Gow <iandgow@gmail.com>

This is a re-admission after prior archival of version 1.0.0 dated 2025-11-17

Diff between farr versions 1.0.0 dated 2025-11-17 and 1.0.1 dated 2026-04-21

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 15 files changed, 70 insertions(+), 30 deletions(-)

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New package splitGraph with initial version 0.1.0
Package: splitGraph
Title: Dataset Dependency Graphs for Leakage-Aware Evaluation
Version: 0.1.0
Description: Represent biomedical dataset structure as typed dependency graphs so that sample provenance, repeated-measure structure, study design, batch effects, and temporal relationships are explicit and inspectable. Validates dataset structure, detects sample-level overlap, derives deterministic split constraints, and produces a tool-agnostic split specification for leakage-aware evaluation workflows.
License: MIT + file LICENSE
URL: https://github.com/selcukorkmaz/splitGraph
BugReports: https://github.com/selcukorkmaz/splitGraph/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: graphics, igraph
Suggests: knitr, pkgload, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-14 21:44:56 UTC; selcuk
Author: Selcuk Korkmaz [aut, cre]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 09:20:01 UTC

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New package rwig with initial version 0.1.0
Package: rwig
Title: Wasserstein Index Generation (WIG) Model
Version: 0.1.0
Description: Efficient implementation of several Optimal Transport algorithms in Fangzhou Xie (2025) <doi:10.48550/arXiv.2504.08722> and the Wasserstein Index Generation (WIG) model in Fangzhou Xie (2020) <doi:10.1016/j.econlet.2019.108874>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/fangzhou-xie/rwig, https://fangzhou-xie.github.io/rwig/
BugReports: https://github.com/fangzhou-xie/rwig/issues
LinkingTo: Rcpp (>= 1.0.8), RcppArmadillo (>= 0.12.8.4.0)
Imports: utils, stats, rlang, cli, lubridate, Rcpp, RhpcBLASctl, word2vec, tokenizers, stopwords
SystemRequirements: autoconf, CUDA (> 13.0, only for Linux)
Suggests: knitr, rmarkdown, tinytest
Depends: R (>= 4.2)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-04-14 19:57:05 UTC; fangzhou
Author: Fangzhou Xie [aut, cre, cph]
Maintainer: Fangzhou Xie <fangzhou.xie@rutgers.edu>
Repository: CRAN
Date/Publication: 2026-04-21 09:22:14 UTC

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New package rjd3xjars with initial version 0.1.0
Package: rjd3xjars
Title: R Interface to 'JDemetra+ 3.x' Time Series Analysis Software
Version: 0.1.0
Description: R Interface to 'JDemetra+ 3.x' (<https://github.com/jdemetra>) time series analysis software. It provides functions allowing to decompose a time series, including high-frequency data with multiple periodicities.
Depends: R (>= 4.1.0)
Imports: rJava (>= 1.0-6), rjd3toolkit (>= 3.7.1)
SystemRequirements: Java (>= 21)
License: EUPL
URL: https://github.com/rjdverse/rjd3xjars
Suggests: knitr, rmarkdown
BugReports: https://github.com/rjdverse/rjd3xjars/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-14 13:37:02 UTC; onyxia
Author: Jean Palate [aut], Tanguy Barthelemy [aut, cre]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>
Repository: CRAN
Date/Publication: 2026-04-21 09:02:11 UTC

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New package rjd3production with initial version 1.1.0
Package: rjd3production
Title: Prepare for Production of Seasonal Adjustment with 'JDemetra+'
Version: 1.1.0
Description: A comprehensive tool for setting up seasonal data pipelines using 'JDemetra+' (version 3) and 'rjdverse'. This includes setting up a new working environment, creating and selecting calendar regressors, managing specifications (trading-days regressors and outliers) at the workspace level, making a workspace usable by the 'cruncher', removing insignificant outliers, and comparing workspaces.
Depends: R (>= 4.2.0)
Imports: rjd3toolkit, rjd3x13, rjd3workspace, rjd3providers, utils, dygraphs, flextable, stats, tidyr, tools, yaml, zoo, shiny, constructive, usethis, TBox, date4ts, lintr
Suggests: testthat (>= 3.0.0), knitr, quarto, rmarkdown, waldo
License: EUPL
Encoding: UTF-8
VignetteBuilder: knitr, quarto
URL: https://inseefr.github.io/rjd3production/
NeedsCompilation: no
Packaged: 2026-04-14 14:09:52 UTC; onyxia
Author: Tanguy Barthelemy [aut, cre, art]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>
Repository: CRAN
Date/Publication: 2026-04-21 09:02:16 UTC

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New package FoRecoML with initial version 1.0.0
Package: FoRecoML
Title: Forecast Reconciliation with Machine Learning
Version: 1.0.0
Description: Nonlinear forecast reconciliation with machine learning in cross-sectional (Spiliotis et al. 2021 <doi:10.1016/j.asoc.2021.107756>), temporal, and cross-temporal (Rombouts et al. 2024 <doi:10.1016/j.ijforecast.2024.05.008>) frameworks.
Depends: R (>= 3.4), Matrix, FoReco
Imports: stats, cli, methods, randomForest, lightgbm, xgboost, mlr3, mlr3tuning, mlr3learners, paradox
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/danigiro/FoRecoML, https://danigiro.github.io/FoRecoML/
BugReports: https://github.com/danigiro/FoRecoML/issues
Suggests: testthat (>= 3.0.0), ranger
NeedsCompilation: no
Packaged: 2026-04-14 19:07:16 UTC; daniele
Author: Daniele Girolimetto [aut, cre] , Yangzhuoran Fin Yang [aut] , Jeroen Rombouts [aut] , Ines Wilms [aut]
Maintainer: Daniele Girolimetto <daniele.girolimetto@unipd.it>
Repository: CRAN
Date/Publication: 2026-04-21 09:12:09 UTC

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Package tidyprompt updated to version 0.4.0 with previous version 0.3.0 dated 2025-11-30

Title: Prompt Large Language Models and Enhance Their Functionality
Description: Easily construct prompts and associated logic for interacting with large language models (LLMs). 'tidyprompt' introduces the concept of prompt wraps, which are building blocks that you can use to quickly turn a simple prompt into a complex one. Prompt wraps do not just modify the prompt text, but also add extraction and validation functions that will be applied to the response of the LLM. This ensures that the user gets the desired output. 'tidyprompt' can add various features to prompts and their evaluation by LLMs, such as structured output, automatic feedback, retries, reasoning modes, autonomous R function calling, and R code generation and evaluation. It is designed to be compatible with any LLM provider that offers chat completion.
Author: Luka Koning [aut, cre, cph], Tjark Van de Merwe [aut, cph], Kennispunt Twente [fnd]
Maintainer: Luka Koning <koningluka@gmail.com>

Diff between tidyprompt versions 0.3.0 dated 2025-11-30 and 0.4.0 dated 2026-04-21

 DESCRIPTION                                          |   18 
 MD5                                                  |  151 ++-
 NAMESPACE                                            |    2 
 NEWS.md                                              |  248 +++--
 R/answer_as_dataframe.R                              |only
 R/answer_as_json.R                                   |   14 
 R/answer_as_numeric.R                                |only
 R/answer_using_r.R                                   |   19 
 R/answer_using_sql.R                                 |    5 
 R/answer_using_tools.R                               |  247 ++++-
 R/chat_history.R                                     |   10 
 R/helper_ellmer_json_compatibility.R                 |  193 +++-
 R/helper_ellmer_tool_compatibility.R                 |  254 ++++--
 R/internal_extraction.R                              |    2 
 R/internal_request_llm_provider.R                    |   58 +
 R/internal_test_helpers.R                            |    2 
 R/llm_break.R                                        |    2 
 R/llm_provider.R                                     |   68 +
 R/llm_providers.R                                    |  761 ++++++++++++++++--
 R/misc_add_image.R                                   |   76 -
 R/misc_llm_verify.R                                  |    2 
 R/misc_quit_if.R                                     |    2 
 R/persistent_chat.R                                  |    6 
 R/send_prompt.R                                      |  128 ++-
 R/tidyprompt.R                                       |   12 
 README.md                                            |   21 
 inst/doc/getting_started.Rmd                         |  799 +++++++++----------
 inst/doc/getting_started.html                        |   16 
 inst/examples/answer_as_dataframe.R                  |only
 inst/examples/answer_as_numeric.R                    |only
 inst/examples/send_prompt.R                          |    4 
 inst/examples/skim_with_labels_and_levels.R          |   16 
 man/add_image.Rd                                     |    9 
 man/add_text.Rd                                      |    2 
 man/answer_as_boolean.Rd                             |    4 
 man/answer_as_category.Rd                            |    4 
 man/answer_as_dataframe.Rd                           |only
 man/answer_as_integer.Rd                             |    4 
 man/answer_as_json.Rd                                |    4 
 man/answer_as_list.Rd                                |    4 
 man/answer_as_multi_category.Rd                      |    4 
 man/answer_as_named_list.Rd                          |    4 
 man/answer_as_numeric.Rd                             |only
 man/answer_as_regex_match.Rd                         |    4 
 man/answer_as_text.Rd                                |    4 
 man/answer_by_chain_of_thought.Rd                    |    2 
 man/answer_by_react.Rd                               |    2 
 man/answer_using_r.Rd                                |    2 
 man/answer_using_sql.Rd                              |    2 
 man/answer_using_tools.Rd                            |   16 
 man/chat_history.Rd                                  |    2 
 man/llm_provider_ellmer.Rd                           |   11 
 man/prompt_wrap.Rd                                   |    2 
 man/quit_if.Rd                                       |    2 
 man/send_prompt.Rd                                   |   28 
 man/set_system_prompt.Rd                             |    2 
 man/skim_with_labels_and_levels.Rd                   |   16 
 man/tidyprompt-package.Rd                            |    2 
 man/tools_add_docs.Rd                                |    4 
 man/tools_get_docs.Rd                                |  422 +++++-----
 tests/testthat/helper-ellmer.R                       |   69 +
 tests/testthat/test-answer-as-json.R                 |   66 +
 tests/testthat/test-answer_as_dataframe.R            |only
 tests/testthat/test-answer_as_numeric.R              |only
 tests/testthat/test-answer_using_tools.R             |  385 +++++++++
 tests/testthat/test-chat_history.R                   |   13 
 tests/testthat/test-ellmer_add_image.R               |  112 ++
 tests/testthat/test-ellmer_builtin_tool.R            |only
 tests/testthat/test-ellmer_clone_semantics.R         |only
 tests/testthat/test-ellmer_json_compatibility.R      |   46 +
 tests/testthat/test-ellmer_param_warning.R           |only
 tests/testthat/test-ellmer_streaming.R               |    1 
 tests/testthat/test-ellmer_streaming_harden.R        |only
 tests/testthat/test-ellmer_structured_native.R       |only
 tests/testthat/test-ellmer_tool_compatibility.R      |  151 +++
 tests/testthat/test-ellmer_tool_optional_args.R      |only
 tests/testthat/test-ellmer_tool_scope.R              |only
 tests/testthat/test-ellmer_turn_construction.R       |only
 tests/testthat/test-ellmer_type_from_schema.R        |only
 tests/testthat/test-general.R                        |    3 
 tests/testthat/test-llm_provider.R                   |  140 +++
 tests/testthat/test-llm_provider_ellmer_multimodal.R |  103 ++
 tests/testthat/test-persistent_chat_ellmer.R         |only
 tests/testthat/test-request_llm_provider.R           |only
 tests/testthat/test-send_prompt.R                    |  545 ++++++++++++
 vignettes/getting_started.Rmd                        |  799 +++++++++----------
 86 files changed, 4512 insertions(+), 1619 deletions(-)

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New package spada with initial version 0.1.5
Package: spada
Title: A 'shiny' Package for Data Analysis
Version: 0.1.5
Maintainer: Luis Gustavo Schuck <luisgustavoschuck@yahoo.com.br>
Description: Provides a 'shiny' application with a user-friendly interface for interactive data analysis. It supports exploratory data analysis through descriptive statistics, data visualization, statistical tests (e.g., normality assessment), linear modeling, data import, transformation and reporting. For more details see Shapiro and Wilk (1965) <doi:10.2307/2333709>.
License: AGPL (>= 3)
URL: https://github.com/lgschuck/spada
BugReports: https://github.com/lgschuck/spada/issues
Depends: R (>= 4.4.0)
Imports: bsicons (>= 0.1.2), bslib (>= 0.10.0), collapse (>= 2.1.6), data.table (>= 1.18.2.1), DescTools (>= 0.99.60), dplyr (>= 1.1.4), ggplot2 (>= 4.0.1), gt (>= 1.3.0), haven (>= 2.5.5), htmltools (>= 0.5.9), mirai (>= 2.5.3), qs2 (>= 0.1.7), rlang (>= 1.1.7), sass (>= 0.4.10), shiny (>= 1.12.1), shinyWidgets (>= 0.9.0), waiter (>= 0.2.5.1)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tidyselect
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-14 11:34:28 UTC; luisg
Author: Luis Gustavo Schuck [aut, cre]
Repository: CRAN
Date/Publication: 2026-04-21 08:40:02 UTC

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New package resultcheck with initial version 0.1.4
Package: resultcheck
Title: Result Stability Checks for Empirical R Projects
Version: 0.1.4
Description: Lightweight helpers for checking whether empirical results remain substantively unchanged across code revisions, platform differences, and package updates. The package supports regression-style testing of derived datasets, statistical model outputs, tables, and plots, helping researchers detect unintended result drift early and distinguish material from non-material changes in empirical workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: withr, rprojroot, yaml
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), waldo
URL: https://github.com/kv9898/resultcheck/, https://kv9898.github.io/resultcheck/
BugReports: https://github.com/kv9898/resultcheck/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-14 12:24:32 UTC; Dianyi
Author: Dianyi Yang [aut, cre, ctb]
Maintainer: Dianyi Yang <dianyi.yang@politics.ox.ac.uk>
Repository: CRAN
Date/Publication: 2026-04-21 08:52:09 UTC

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Package rdacca.hp updated to version 1.1-3 with previous version 1.1-2 dated 2026-04-05

Title: Hierarchical and Variation Partitioning for Canonical Analysis
Description: This function conducts variation partitioning and hierarchical partitioning to calculate the unique, shared (referred as to "common") and individual contributions of each predictor (or matrix) towards explained variation (R-square and adjusted R-square) on canonical analysis (RDA,CCA and db-RDA), applying the algorithm of Lai J.,Zou Y., Zhang J.,Peres-Neto P.(2022) Generalizing hierarchical and variation partitioning in multiple regression and canonical analyses using the rdacca.hp R package.Methods in Ecology and Evolution,13: 782-788 <DOI:10.1111/2041-210X.13800>.
Author: Jiangshan Lai [aut, cre] , Kim Nimon [aut], Yao Liu [aut], Pedro Peres-Neto [aut]
Maintainer: Jiangshan Lai <lai@njfu.edu.cn>

Diff between rdacca.hp versions 1.1-2 dated 2026-04-05 and 1.1-3 dated 2026-04-21

 DESCRIPTION      |    9 +++++----
 MD5              |    6 +++---
 R/rdacca.hp.r    |   21 +++++++++++++++++----
 man/rdacca.hp.Rd |    3 +++
 4 files changed, 28 insertions(+), 11 deletions(-)

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New package nordstatExtras with initial version 0.1.0
Package: nordstatExtras
Title: Shared 'SQLite' Cache Backend for the 'nordstat' Package Family
Version: 0.1.0
Description: Provides a SQLite-backed cell-level cache that can be used as a drop-in backend by the nordstat family of packages ('rKolada', 'rTrafa', and 'pixieweb'). Designed for multi-user web applications where minimal fetch latency and asynchronous writes are required. Individual statistical values ("cells") are stored in a gatekeeper schema with a sidecar table for arbitrary metadata dimensions, enabling deduplication across overlapping queries.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: DBI, RSQLite, rlang, tibble, jsonlite, digest
Suggests: mirai, testthat (>= 3.0.0), withr
URL: https://github.com/LCHansson/nordstatExtras
BugReports: https://github.com/LCHansson/nordstatExtras/issues
NeedsCompilation: no
Packaged: 2026-04-14 06:40:40 UTC; tgslhn
Author: Love Hansson [aut, cre]
Maintainer: Love Hansson <love.hansson@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 08:30:19 UTC

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