CRANberries

Mon, 04 May 2026

New package SmoothPLS with initial version 0.1.5
Package: SmoothPLS
Title: Partial Least-Squares Algorithm for Categorical and Scalar Functional Data
Version: 0.1.5
Date: 2026-04-10
Description: Performs the Partial Least-Squares ('PLS') algorithm for functional data through the concept of active area integration. This approach builds upon the basis expansion methods for functional 'PLS' regression described in Aguilera et al. (2010) <doi:10.1016/j.chemolab.2010.09.007>. The package seamlessly handles both Scalar Functional Data ('SFD') and Categorical Functional Data ('CFD'), providing interpretable regression curves even for discrete state changes. It was developed during a PhD thesis between 'DECATHLON' and French research institute 'INRIA' 2022-2026. The 'SmoothPLS' method does not directly decompose the data into a basis; rather, it assumes the data is known as precisely as desired, and for every 'PLS' component, the weight functions are decomposed into the basis. For both single-state and multi-state 'CFD' as well as 'SFD', the algorithm is implemented for a scalar response. To provide a baseline, a naive 'PLS' method on time-value functions and standard Functional [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/FrancoisBassac/SmoothPLS, https://FrancoisBassac.github.io/SmoothPLS/
BugReports: https://github.com/FrancoisBassac/SmoothPLS/issues
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: cfda (>= 0.12.1), dplyr (>= 1.1.4), fda (>= 6.2.0), ggplot2 (>= 3.5.1), MASS (>= 7.3-64), mgcv (>= 1.9-1), pls (>= 2.8-5), pracma (>= 2.4.4), stats (>= 4.4.1), tidyr (>= 1.3.1), utils (>= 4.4.1), rlang (>= 1.1.0), magrittr (>= 2.0.3), future.apply, future
NeedsCompilation: no
Packaged: 2026-04-29 17:11:27 UTC; Francois
Author: Francois Bassac [aut, cre]
Maintainer: Francois Bassac <fr.bassac@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-04 19:20:02 UTC

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New package PatientGenerator with initial version 0.1.4
Package: PatientGenerator
Title: Generator of Synthetic Patient Data for the OMOP Common Data Model
Version: 0.1.4
Description: Tools to generate synthetic patient-level test datasets in the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). Includes a chat-driven generator backed by large language models and an interactive 'shiny' designer for editing CDM test sets.
URL: https://github.com/mi-erasmusmc/PatientGenerator, https://mi-erasmusmc.github.io/PatientGenerator/
BugReports: https://github.com/mi-erasmusmc/PatientGenerator/issues
License: Apache License (>= 2)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: bslib, checkmate, data.table, DBI, dplyr, DT, duckdb, ellmer, glue, httr2, jsonlite, r2d3, R6, shiny, stringr, testthat
Suggests: CDMConnector, CohortCharacteristics, CohortConstructor, covr, ggplot2, knitr, rmarkdown, TestGenerator
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-27 09:48:57 UTC; cbarboza
Author: Cesar Barboza [aut, cre] , Ger Inberg [aut] , Adam Black [aut]
Maintainer: Cesar Barboza <c.barboza@mi-erasmusmc.nl>
Repository: CRAN
Date/Publication: 2026-05-04 19:10:02 UTC

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New package glmbayes with initial version 0.9.3
Package: glmbayes
Title: Bayesian Generalized Linear Models (IID Samples)
Version: 0.9.3
Date: 2026-04-30
Description: Provides Bayesian linear and generalized linear model fitting with independent and identically distributed (iid) posterior samples. The main functions mirror R's lm() and glm() interfaces while adding prior family specifications for Gaussian, Poisson, binomial, and Gamma models with log-concave likelihoods. Sampling for supported non-conjugate models uses accept-reject methods based on likelihood subgradients as in Nygren and Nygren (2006) <doi:10.1198/016214506000000357>. The package also includes tools for prior setup, posterior summaries, prediction, diagnostics, simulation, vignettes, and optional 'OpenCL' acceleration for larger models.
License: GPL-2
URL: https://github.com/knygren/glmbayes, https://knygren.r-universe.dev/glmbayes
BugReports: https://github.com/knygren/glmbayes/issues
Imports: stats, coda, Rcpp (>= 1.1.1), RcppParallel, Rdpack (>= 0.11-0)
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Depends: MASS, R (>= 3.5.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), spelling
SystemRequirements: Optional OpenCL support. If available, GPU acceleration will be used; otherwise, computation runs on CPU.
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
Language: en-US
NeedsCompilation: yes
Packaged: 2026-04-30 13:46:02 UTC; kjell
Author: Kjell Nygren [aut, cre], The R Core Team [ctb, cph] , The R Foundation [cph] , Ross Ihaka [ctb, cph] , Robert Gentleman [ctb, cph] , Simon Davies [ctb] , Morten Welinder [ctb, cph] , Martin Maechler [ctb]
Maintainer: Kjell Nygren <kjell.a.nygren@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-04 19:30:13 UTC

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New package DiversityStats with initial version 0.1.0
Package: DiversityStats
Title: Diversity Indices with Statistical Inference
Version: 0.1.0
Description: Provides a comprehensive framework for analyzing diversity from frequency/abundance count data. Implements a wide range of classical and entropy-based diversity indices, including Berger-Parker, Simpson (and related variants), Shannon, Brillouin, McIntosh, Margalef, Menhinick and Smith-Wilson. Supports permutation-based hypothesis tests for comparing groups with respect to diversity (global and pairwise comparisons), as well as confidence interval estimation using multiple bootstrap methods. Includes functionality for generating diversity profiles based on parametric families such as Hill numbers, Rényi entropy, and Tsallis entropy. The methods are applicable to ecological community data (species abundance counts) and genetic or phenotypic class frequency data.
License: GPL (>= 2)
Encoding: UTF-8
BuildManual: TRUE
Imports: boot, dplyr, mathjaxr, multcompView, Rdpack, stats, tidyr, utils
Suggests: cluster, EvaluateCore, ggplot2, knitr, pander, rmarkdown, vegan
Copyright: 2025-2026, ICAR-NBPGR
URL: https://github.com/aravind-j/DiversityStats https://aravind-j.github.io/DiversityStats/
BugReports: https://github.com/aravind-j/DiversityStats/issues
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-04-30 05:49:47 UTC; aravi
Author: J. Aravind [aut, cre] , Suman Roy [aut] , Anju Mahendru Singh [aut] , ICAR-NBGPR [cph]
Maintainer: J. Aravind <j.aravind@icar.org.in>
Repository: CRAN
Date/Publication: 2026-05-04 19:10:08 UTC

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New package DANDELION with initial version 0.1.0
Package: DANDELION
Title: Discovery of Candidate Disease Genes Using Trans-Regulatory Effects
Version: 0.1.0
Description: Implements the DANDELION method for prioritizing candidate disease-related proximal genes by integrating trans-regulatory association p-values and gene-level trait association p-values. The statistical testing framework builds on the divide-aggregate composite-null test described by Liu et al. (2022) <doi:10.1080/01621459.2021.1914634>. The biological application and SNP/gene-based prioritization workflow are motivated by Salamone et al. (under review), "Leveraging trans-gene regulation prioritizes central genes and pathways in asthma". The package provides functions for identifying distal-proximal gene pairs, organizing significant pairs into genomic loci, and visualizing resulting gene networks.
License: GPL-3
Encoding: UTF-8
Imports: igraph
Suggests: qvalue
Additional_repositories: https://bioconductor.org/packages/release/bioc
NeedsCompilation: no
Packaged: 2026-04-30 07:05:09 UTC; px
Author: Peixin Tian [aut, cre]
Maintainer: Peixin Tian <pxtian@connect.hku.hk>
Repository: CRAN
Date/Publication: 2026-05-04 19:20:09 UTC

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New package pensar with initial version 0.4.2
Package: pensar
Title: LLM Wiki Engine
Version: 0.4.2
Description: Maintains a persistent, compounding knowledge base from source documents. Ingests articles, chat logs, briefings, and messages into a structured vault of markdown files with 'YAML' frontmatter and wikilinks. The vault is designed for large language model (LLM) agents to summarize, cross-reference, and maintain; humans curate sources, edit, and ask questions.
License: Apache License (>= 2)
URL: https://github.com/cornball-ai/pensar
BugReports: https://github.com/cornball-ai/pensar/issues
SystemRequirements: pandoc (for vault_export()), git (for vault_commit())
Imports: yaml
Suggests: saber, tinytest
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-30 00:11:12 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-05-04 19:00:02 UTC

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New package KMT with initial version 1.0.0
Package: KMT
Title: Khmaladze Martingale Transformation Goodness-of-Fit Test
Version: 1.0.0
Description: Consider a goodness-of-fit problem of testing whether a random sample comes from one sample location-scale model where location and scale parameters are unknown. It is well known that Khmaladze-martingale-transformation method proposed by Khmaladze (1981) <doi:10.1137/1126027> provides asymptotic distribution free test. This package provides test statistic and critical value of the test for normal, Cauchy, and logistic distributions. This package used the main algorithm proposed by Kim (2020) <doi:10.1007/s00180-020-00971-7> and tests for other distributions will be available at the later version.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: Rcpp (>= 1.0.10), ggplot2, stats, utils, Rsolnp, graphics, gumbel
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2026-04-30 01:49:08 UTC; ji_wo
Author: Jiwoong Kim [aut, cre]
Maintainer: Jiwoong Kim <jwboys26@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-04 19:00:19 UTC

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New package cosmic with initial version 0.5
Package: cosmic
Title: Conditional Ordinal Stereotype Model for Incident-Level Comparison
Version: 0.5
Description: Implements the Conditional Ordinal Stereotype Model for Incident-Level Comparison (COSMIC), a method for analyzing ordinal outcomes observed across multiple actors within shared events. The model uses a conditional likelihood to remove event-level confounding and estimate actor-specific propensities relative to their peers. Efficient computation is achieved via a dynamic programming algorithm for the Poisson-multinomial normalization term, enabling scalable estimation with Markov chain Monte Carlo. The package provides tools for data preparation, model fitting using Stan, and extraction of posterior summaries for comparative inference. Estimation of police officer propensity to escalate force is the primary motivation for the model. For more details see Ridgeway (2026) "A Conditional Ordinal Stereotype Model to Estimate Police Officers’ Propensity to Escalate Force" <doi:10.1080/01621459.2025.2597050>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: arrangements, cmdstanr (>= 0.9.0), future, future.apply, ggplot2, kableExtra, knitr, MASS, progressr, rmarkdown, testthat (>= 3.0.0), xtable
Additional_repositories: https://stan-dev.r-universe.dev
VignetteBuilder: knitr
Imports: dplyr, posterior, stats
NeedsCompilation: no
Packaged: 2026-04-30 01:13:44 UTC; greg_
Author: Greg Ridgeway [aut, cre]
Maintainer: Greg Ridgeway <gridge@upenn.edu>
Repository: CRAN
Date/Publication: 2026-05-04 19:00:08 UTC

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New package corteza with initial version 0.6.3
Package: corteza
Title: AI Agent Runtime
Version: 0.6.3
Description: An agent runtime that gives Large Language Models (LLMs) from 'Anthropic' <https://www.anthropic.com/>, 'OpenAI' <https://openai.com/>, 'Moonshot' <https://www.moonshot.ai/>, and 'Ollama' <https://ollama.com/> direct access to a live R session with managed workspace state. Tools execute as R function calls with provenance tracking, and a deterministic retrieval system keeps relevant objects in context across turns. Three entry points: a shell command-line interface (CLI), a console read-eval-print-loop via chat(), and a Model Context Protocol (MCP) server via serve() for external clients.
License: Apache License (>= 2)
URL: https://github.com/cornball-ai/corteza
BugReports: https://github.com/cornball-ai/corteza/issues
Depends: R (>= 4.4.0)
Imports: callr, codetools, curl, jsonlite, llm.api, printify, processx, saber
Suggests: fortunes, mx.api, simplermarkdown, tinytest
VignetteBuilder: simplermarkdown
SystemRequirements: On Windows, Rtools45 (R 4.5.x) or Rtools44 (R 4.4.x) is recommended so the 'bash' shell tool is available; minimal installs fall back to a 'cmd' tool. 'git' is required for the git_status, git_diff, and git_log tools (install Git for Windows, or 'pacman -Sy git' from an Rtools shell).
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-30 00:11:49 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-05-04 19:00:13 UTC

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New package rtemis.llm with initial version 0.8.1
Package: rtemis.llm
Title: Large Language Models and Agentic AI
Version: 0.8.1
Date: 2026-04-28
Description: Unified interface for creating LLM and Agent objects, generating responses and performing batch inference based on a type-checked and validated 'S7' backend. Features reasoning, structured output, memory management, and tool use. Supports 'Ollama' <https://docs.ollama.com/api>, 'OpenAI'-compatible <https://developers.openai.com/api/reference/overview>, and 'Anthropic'-compatible <https://platform.claude.com/docs/en/api/getting-started> endpoints.
License: GPL (>= 3)
URL: https://www.rtemis.org, https://docs.rtemis.org/r/llm, https://docs.rtemis.org/r/llm-api
BugReports: https://github.com/rtemis-org/llm/issues
Encoding: UTF-8
Imports: cli, data.table, digest, httr2, jsonlite, rtemis.core, S7
Suggests: keyring, testthat (>= 3.0.0), xml2
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-04-29 23:50:32 UTC; sdg
Author: E.D. Gennatas [aut, cre, cph]
Maintainer: E.D. Gennatas <gennatas@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-04 12:10:02 UTC

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New package LOCOM2 with initial version 1.0
Package: LOCOM2
Title: A Logistic Regression Model for Testing Microbial Differential Abundance
Version: 1.0
Date: 2026-04-18
Maintainer: Yi-Juan Hu <yijuanhu@bicmr.pku.edu.cn>
Description: Testing differential abundance at individual taxa and in a whole microbial community. The tests are based on the log-ratio of relative abundances. The tests accommodate continuous, discrete (binary, categorical), and multivariate traits, and allow adjustment of confounders. For more details see He (2026) <doi:10.64898/2026.04.07.716976>.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.11), stats, permute, parallel, BiocParallel, matrixStats, abind, car
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, survival
URL: https://github.com/yijuanhu/LOCOM2
BugReports: https://github.com/yijuanhu/LOCOM2/issues
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2026-04-30 01:08:36 UTC; yhu30
Author: Yi-Juan Hu [aut, cre]
Repository: CRAN
Date/Publication: 2026-05-04 12:10:14 UTC

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New package ggWebGL with initial version 0.4.0
Package: ggWebGL
Title: Browser-Native 'WebGL' Rendering for R Graphics
Date: 2026-04-29
Version: 0.4.0
Author: Frederic Bertrand [cre, aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Provides browser-native 'WebGL' rendering for R graphics through 'htmlwidgets'. The package supports grammar-style graphics workflows and renderer-ready specifications for dense analytical and scientific scenes, including point, line, trajectory, raster, vector, mesh, and surface layers, shader-driven display modes, timeline controls, structured views, selection metadata, and publication-oriented static export helpers. Rendering stays in the browser, and the core package remains cross-platform without requiring 'CUDA', 'Metal', or 'OpenCL' toolchains.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: ggplot2, htmltools, htmlwidgets, rlang
Suggests: chromote, knitr, magick, pkgdown, pkgload, plotly, processx, rmarkdown, shiny, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://fbertran.github.io/ggWebGL/, https://github.com/fbertran/ggWebGL
BugReports: https://github.com/fbertran/ggWebGL/issues
NeedsCompilation: no
Packaged: 2026-04-30 00:23:17 UTC; bertran7
Repository: CRAN
Date/Publication: 2026-05-04 12:10:08 UTC

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New package paneltests with initial version 1.0.5
Package: paneltests
Title: Panel Data Pre-Testing and Diagnostic Suite
Version: 1.0.5
Description: Pre-testing and diagnostic tools for panel data analysis. Researchers should run these tests before any panel regression to verify modelling assumptions. The package implements: (1) the Hsiao (2014, <ISBN:978-1-107-65763-2>) homogeneity F-tests (F1/F2/F3), Swamy (1970) <doi:10.2307/1913012> parameter heterogeneity test, and Pesaran (2004) <doi:10.2139/ssrn.572504> cross-sectional dependence test via xtpretest(); (2) missing-data detection, mechanism testing, and imputation for unbalanced panels via xtmispanel(); (3) quantile-regression cross-sectional dependence tests (T_tau and T-tilde_tau statistics) of Demetrescu, Hosseinkouchack and Rodrigues (2023) <doi:10.1016/j.jeconom.2022.09.001> via xtcsdq(); and (4) the panel quantile-regression slope homogeneity S-hat and D-hat statistics of Galvao, Juhl, Montes-Rojas and Olmo (2017) <doi:10.1080/07350015.2015.1054493> via xtqsh(). Together these tests address three fundamental pre-testing questions: (i) are sl [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, utils
Suggests: testthat (>= 3.0.0), plm, zoo, quantreg
NeedsCompilation: no
Packaged: 2026-04-29 17:22:26 UTC; acad_
Author: Muhammad Abdullah Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Abdullah Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-04 11:30:03 UTC

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New package ihsMW with initial version 0.1.5
Package: ihsMW
Title: Access 'Malawi Integrated Household Survey' Data
Version: 0.1.5
Description: Provides programmatic access to the 'Malawi Integrated Household Survey' ('IHS') via the 'World Bank Microdata Library' API <https://microdata.worldbank.org/api-documentation/>. Users can search variables, download data for 'IHS' rounds 2 through 5, and work with complex survey designs, with no manual file management required.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
URL: https://github.com/vituk123/ihsMW
BugReports: https://github.com/vituk123/ihsMW/issues
Imports: httr2 (>= 1.0.0), arrow (>= 12.0.0), dplyr (>= 1.1.0), readr (>= 2.1.0), rlang (>= 1.1.0), cli (>= 3.6.0), rappdirs (>= 0.3.3), vctrs (>= 0.6.0), stringdist (>= 0.9.10)
Suggests: srvyr (>= 1.2.0), survey (>= 4.2.0), httptest2 (>= 0.1.0), testthat (>= 3.0.0), usethis (>= 2.2.0), pkgdown (>= 2.0.0), knitr (>= 1.40), rmarkdown (>= 2.20), withr (>= 2.5.0), jsonlite (>= 1.8.0)
Encoding: UTF-8
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-04-29 18:43:17 UTC; vitumbikokayuni
Author: Vitumbiko Kayuni [aut, cre]
Maintainer: Vitumbiko Kayuni <vitumbikokayuni@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-04 11:40:02 UTC

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New package heattree with initial version 0.3.1
Package: heattree
Title: A Self-Contained Widget for Interactive Phylogenetic Tree Visualization
Version: 0.3.1
Maintainer: Zachary Foster <zacharyfoster1989@gmail.com>
Description: Creates self-contained widgets for interactive phylogenetic tree visualization. This package wraps the 'JavaScript' 'heat-tree' package using the 'htmlwidgets' R package.
URL: https://grunwaldlab.github.io/heattree/
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: ape, htmlwidgets
Suggests: testthat (>= 3.0.0), knitr
NeedsCompilation: no
Packaged: 2026-04-29 17:55:45 UTC; fosterz
Author: Zachary Foster [aut, cre] , Niklaus Grunwald [aut] , USDA Agricultural Research Service [fnd]
Repository: CRAN
Date/Publication: 2026-05-04 11:30:08 UTC

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New package ErrorTracer with initial version 1.0.2
Package: ErrorTracer
Title: Bayesian Error Propagation and Forecast Uncertainty Decomposition
Version: 1.0.2
Date: 2026-04-29
Description: Provides a full pipeline from regularized or standard regression models (elastic net, linear models, generalized linear models, random forests) to informed Bayesian priors, three-way forecast uncertainty decomposition (parameter / environmental / residual), and forecast shelf life analysis (the quantification of when a forecast becomes uninformative). Designed for ecological and genomic forecasting with climate or environmental covariates. Methods build on Bürkner (2017) <doi:10.18637/jss.v080.i01> for Bayesian regression via 'Stan', Friedman, Hastie, and Tibshirani (2010) <doi:10.18637/jss.v033.i01> for elastic net regularization, Wright and Ziegler (2017) <doi:10.18637/jss.v077.i01> for random forests, and Vehtari, Gelman, and Gabry (2017) <doi:10.1007/s11222-016-9696-4> for leave-one-out cross-validation.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: brms (>= 2.20.0), ggplot2 (>= 3.4.0), rlang (>= 1.1.0), stats, utils
Suggests: loo (>= 2.6.0), bayesplot (>= 1.10.0), scales (>= 1.3.0), tidyr (>= 1.3.0), glmnet (>= 4.1.0), ranger (>= 0.15.0), dplyr (>= 1.1.0), testthat (>= 3.0.0), knitr, rmarkdown, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-29 20:42:45 UTC; madrigalrocalj
Author: Luis Javier Madrigal-Roca [aut, cre], John Kelly [aut]
Maintainer: Luis Javier Madrigal-Roca <madrigalrocalj@yahoo.com>
Repository: CRAN
Date/Publication: 2026-05-04 11:50:07 UTC

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New package DT2 with initial version 0.1.1
Package: DT2
Title: 'DataTables' 2.x for R
Version: 0.1.1
Date: 2026-04-29
Description: A modern R binding for 'DataTables' V2 with modular extension loading, 'Bootstrap 5' styling, 'Shiny' integration (proxy, events, inline inputs), server-side processing helpers, and standalone (non-Shiny) support. Configure 'DataTables' options directly via R lists, a 1:1 mapping to the 'JavaScript' API.
License: MIT + file LICENSE
URL: https://github.com/StrategicProjects/DT2, https://strategicprojects.github.io/DT2/
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: htmlwidgets (>= 1.6.0), htmltools, jsonlite, cli
Suggests: shiny, rlang, dplyr, lubridate, tibble, bslib, knitr, rmarkdown, testthat (>= 3.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-29 17:22:00 UTC; leite
Author: Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Carlos Amorin [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-05-04 11:30:13 UTC

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New package datasusr with initial version 0.1.0
Package: datasusr
Title: Fast Access to Brazilian Public Health Data from 'DATASUS'
Version: 0.1.0
Description: Provides fast, in-memory reading of 'DATASUS' 'DBC' files using native 'C' code, along with a catalog of public health data sources, 'FTP' file discovery, caching downloads, and a high-level datasus_fetch() function that lists, downloads, and reads files in a single call. Bundles the 'blast' decompressor from 'zlib' contrib/blast to decode 'PKWare DCL' compressed 'DBC' files and parses 'DBF' records directly for efficient import into tibbles. See the 'DATASUS' file transfer site <https://datasus.saude.gov.br> and Adler (2003) <https://github.com/madler/zlib/tree/master/contrib/blast> for details on the underlying data and compression format.
License: MIT + file LICENSE
URL: https://strategicprojects.github.io/datasusr/, https://github.com/StrategicProjects/datasusr
BugReports: https://github.com/StrategicProjects/datasusr/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: cli, curl (>= 5.0.0), dplyr (>= 1.1.0), purrr, rlang (>= 1.0.0), stringr, tibble, tidyr
Suggests: knitr, pkgdown, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
SystemRequirements: C99
Packaged: 2026-04-29 18:58:43 UTC; leite
Author: Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Carlos Amorin [aut], Diogo Bezerra [aut], Mark Adler [ctb, cph]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-05-04 11:50:02 UTC

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Sat, 02 May 2026

New package savvyGLM with initial version 0.1.1
Package: savvyGLM
Title: Generalized Linear Models with Slab and Shrinkage Estimators
Version: 0.1.1
Description: Provides a flexible framework for fitting generalized linear models (GLMs) with slab and shrinkage estimators. Methods include the Stein estimator (St), Diagonal Shrinkage (DSh), Simple Slab Regression (SR), Generalized Slab Regression (GSR), Ledoit-Wolf Linear Shrinkage (LW), Quadratic-Inverse Shrinkage (QIS), and Shrinkage (Sh), all integrated into the iteratively reweighted least squares (IRLS) algorithm. This approach enhances estimation accuracy, convergence, and robustness in the presence of multicollinearity. The best-fitting model is selected based on the Akaike Information Criterion (AIC). Methods are related to methods described in Marschner (2011) <doi:10.32614/RJ-2011-012>, Asimit et al. (2025) <https://openaccess.city.ac.uk/id/eprint/35005/>, Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4>, and Ledoit and Wolf (2022) <doi:10.3150/20-BEJ1315>.
License: GPL (>= 3)
URL: https://Ziwei-ChenChen.github.io/savvyGLM/
BugReports: https://github.com/ziwei-chenchen/savvyGLM/issues
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: stats, MASS, glmnet, expm, parallel, glm2, utils, Matrix, CVXR (>= 1.8.0)
Suggests: devtools, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-29 09:16:56 UTC; 11605
Author: Ziwei Chen [aut, cre] , Vali Asimit [aut] , Claudio Senatore [aut]
Maintainer: Ziwei Chen <Ziwei.Chen.3@citystgeorges.ac.uk>
Repository: CRAN
Date/Publication: 2026-05-02 09:10:02 UTC

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New package PRBMSdesigns with initial version 1.0.1
Package: PRBMSdesigns
Title: Partially Residual Balanced Multi-Session Designs
Version: 1.0.1
Description: Provides functions for generating novel partially residual balanced multi-session designs. These designs arrange products over sessions and periods under partial balance restrictions and compute canonical efficiency factors for direct and residual (carryover) effects. For general background on PRBMS and related crossover design literature, see Aggarwal and Jha (2006) <doi:10.1080/03610920600695824> and Fardos et al. (2023) <doi:10.18576/jsap/120227>.
License: GPL-2
Encoding: UTF-8
Imports: MASS
NeedsCompilation: no
Packaged: 2026-04-29 08:58:27 UTC; admin
Author: Boyina Devi Priyanka [aut, cre], Cini Varghese [ctb], Rajender Parsad [ctb], Mohd Harun [ctb], Anindita Datta [ctb], Vinaykumar L.N. [ctb]
Maintainer: Boyina Devi Priyanka <boyinadevipriyanka@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-02 09:10:09 UTC

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New package joinpointR with initial version 0.5.0
Package: joinpointR
Title: Tidy Tools for Joinpoint Regression Models
Version: 0.5.0
Description: Provides tools to fit joinpoint regression models with a log-linear specification by levels of a categorical variable. The package acts as a wrapper around the 'segmented' package, facilitating model fitting, selection, and interpretation. It includes functions to estimate the Annual Percent Change (APC) and the Average Annual Percent Change (AAPC), along with their 95% confidence intervals, and to generate formatted summary tables and plots of results.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, purrr, tidyr, tibble, ggplot2, segmented, scales, flextable, rlang, stringr, stats, officer
URL: https://github.com/datos-ine/joinpointR
BugReports: https://github.com/datos-ine/joinpointR/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-04-29 14:58:19 UTC; user
Author: Tamara Ricardo [aut, cre]
Maintainer: Tamara Ricardo <tamararicardo83@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-05-02 09:50:02 UTC

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New package HTGM4D with initial version 1.0
Package: HTGM4D
Version: 1.0
Date: 2026-04-29
Title: Four Dimensional High Throughput 'GoMiner'
Maintainer: Barry Zeeberg <barryz2013@gmail.com>
Author: Barry Zeeberg [aut, cre]
Depends: R (>= 4.2.0)
Imports: minimalistGODB, GoMiner, HTGM, HTGM2D, grDevices, stats, gplots, vprint, randomGODB, HGNChelper, png, magick, svglite, utils, graphics
LazyData: true
LazyDataCompression: xz
Description: The Gene Ontology (GO) Consortium <https://geneontology.org/> organizes genes into hierarchical categories based on biological process (BP), molecular function (MF) and cellular component (CC, i.e., subcellular localization). Tools such as 'GoMiner' (see Zeeberg, B.R., Feng, W., Wang, G. et al. (2003) <doi:10.1186/gb-2003-4-4-r28>) can leverage GO to perform ontological analysis of microarray and proteomics studies, typically generating a list of significant functional categories. Microarray studies are usually analyzed with BP, whereas proteomics researchers often prefer CC. To capture the benefit of both of those ontologies, I now present an enhancement of the existing two-dimensional version of 'High-Throughput GoMiner' ('HTGM2D'), which is called 'HTGM4D'. The original 'HTGM2D' is augmented by adding two instances of the original 'GoMiner' genes versus categories heatmaps, aligned with the categories axes of the 'HTGM2D' heatmap.
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-04-29 14:47:32 UTC; barryzeeberg
Repository: CRAN
Date/Publication: 2026-05-02 09:50:08 UTC

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New package HTDV with initial version 0.2.0
Package: HTDV
Title: Hypothesis Testing for Dependent Variables with Unbalanced Data
Version: 0.2.0
Description: Implements hierarchical Bayesian inference, robust frequentist inference, and distribution-free inference for dependent and unbalanced data under strong-mixing conditions. Supports triangular-array, weighted-sum and mixingale convergence regimes with Whittle and composite likelihoods, heteroskedasticity-and-autocorrelation-consistent variance estimation, block bootstrap with automatic block length, fixed-bandwidth HAR inference, adaptive conformal prediction, Bayesian decision under Region of Practical Equivalence, bridge-sampling Bayes factors, and predictive comparison via the Widely Applicable Information Criterion and leave-future-out cross-validation. Methods follow Andrews (1991) <doi:10.2307/2938229>, Kiefer and Vogelsang (2005) <doi:10.1017/S0266466605050565>, Patton, Politis and White (2009) <doi:10.1080/07474930802459016>, Vehtari, Gelman and Gabry (2017) <doi:10.1007/s11222-016-9696-4>, Kruschke (2018) <doi:10.1177/2515245918771304>, and Gibbs a [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: rstan (>= 2.26.0), stats, parallel,
Suggests: bayesplot, bridgesampling, knitr, loo, posterior, readxl, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/IsadoreNabi/HTDV
BugReports: https://github.com/IsadoreNabi/HTDV/issues
NeedsCompilation: no
Packaged: 2026-04-29 15:05:39 UTC; ROG
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadorenabi@pm.me>
Repository: CRAN
Date/Publication: 2026-05-02 09:50:14 UTC

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New package ggscribe with initial version 0.1.0
Package: ggscribe
Title: Publication-Quality 'ggplot2' Annotation
Version: 0.1.0
Description: Annotation helper functions for publication-quality 'ggplot2' visualisation. These functions make it easier to annotate plots in a way that stays consistent with the set theme.
License: MIT + file LICENSE
URL: https://github.com/davidhodge931/ggscribe, https://davidhodge931.github.io/ggscribe/
BugReports: https://github.com/davidhodge931/ggscribe/issues
Depends: R (>= 4.1.0)
Imports: farver, ggplot2 (>= 4.0.0), glue, grid, rlang, scales
Encoding: UTF-8
Language: en-GB
Suggests: blends, dplyr, flexoki, ggrefine, ggwidth, jumble, knitr, rmarkdown, spelling, stringr
NeedsCompilation: no
Packaged: 2026-04-29 10:09:30 UTC; david
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-02 09:20:02 UTC

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Wed, 29 Apr 2026

New package shinyseo with initial version 0.1.0
Package: shinyseo
Title: Search Engine Optimization and Social Metadata Helpers for 'Shiny' Apps
Version: 0.1.0
Author: Rolf Lindgren [aut, cre]
Maintainer: Rolf Lindgren <rolf@grendel.no>
Description: Utilities for injecting search engine optimization (SEO), Open Graph, Twitter, and schema.org metadata into 'Shiny' applications from YAML files or named lists.
License: GPL (>= 3)
Encoding: UTF-8
Imports: shiny, yaml, jsonlite
Suggests: htmltools, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-29 07:50:52 UTC; roffe
Repository: CRAN
Date/Publication: 2026-04-29 19:10:03 UTC

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New package opencis with initial version 0.1.0
Package: opencis
Title: Import Data from Spanish Sociological Research Center (CIS)
Version: 0.1.0
Description: Search and import data directly to R from the Spanish Sociological Research Center (CIS) <https://www.cis.es/inicio>. The CIS is a public institution that conducts electoral and sociological research studies on the Spanish society. The CIS has a large database of surveys that can be accessed through its website. The package includes functions to search for surveys, survey questions and timeseries, and import the data directly to R.
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.5.0)
Imports: httr (>= 1.4.7), tibble (>= 3.0.0), purrr (>= 1.0.0), haven (>= 2.5.3), magrittr (>= 2.0.0), rvest (>= 1.0.0), stringr (>= 1.0.0), memoise (>= 2.0.0)
URL: https://opencis.spainelectoralproject.com, https://github.com/hmeleiro/opencis
BugReports: https://github.com/hmeleiro/opencis/issues
Suggests: knitr, testthat (>= 3.0.0), rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-29 07:47:02 UTC; hmele
Author: Hector Meleiro [aut, cre]
Maintainer: Hector Meleiro <hmeleiros@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-29 19:10:07 UTC

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New package EasyStat with initial version 2.0.0
Package: EasyStat
Title: Automated Statistical Analysis, Visualization and Multi-Format Narrative Reporting
Version: 2.0.0
Date: 2026-04-28
Description: Provides automated statistical analysis, rich visualization, and multi-format narrative reporting through a unified pipeline. Descriptive statistics are available via easy_describe() and easy_group_summary(). Inferential tests with plain-language narratives are provided by easy_regression(), easy_logistic_regression(), easy_ttest(), easy_anova(), easy_chisq(), easy_ztest(), easy_ftest(), easy_correlation(), easy_wilcox(), and easy_kruskal(). Publication-ready 'ggplot2' visualizations are produced by easy_histogram(), easy_boxplot(), easy_scatter(), easy_barplot(), easy_qqplot(), easy_density(), easy_correlation_heatmap(), easy_regression_diagnostics(), and easy_odds_ratio_plot(). The core Narrative Generator Module applies conditional logic to extracted p-values, effect sizes, and model-fit metrics to produce statistically sound, human-readable explanations automatically. Results render in the 'RStudio' Viewer (HTML), the console (ASCII), or export directly to Microsoft Word via 'flext [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: broom (>= 1.0.0), glue (>= 1.6.0), ggplot2 (>= 3.4.0), knitr (>= 1.40), kableExtra (>= 1.3.4), htmltools (>= 0.5.0), flextable (>= 0.9.0), officer (>= 0.6.0), stats, utils, tools
Suggests: testthat (>= 3.0.0), scales (>= 1.2.0), rmarkdown (>= 2.0)
VignetteBuilder: knitr
URL: https://github.com/itsmdivakaran/Easystat, https://itsmdivakaran.github.io/Easystat/
BugReports: https://github.com/itsmdivakaran/Easystat/issues
NeedsCompilation: no
Packaged: 2026-04-29 08:21:54 UTC; maheshdivakaran
Author: Mahesh Divakaran [aut, cre] , Gunjan Singh [aut] , Jayadevan Shreedharan [aut]
Maintainer: Mahesh Divakaran <imaheshdivakaran@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-29 19:10:14 UTC

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New package BivLaplaceRL with initial version 0.2.0
Package: BivLaplaceRL
Title: Bivariate Laplace Transforms, Stochastic Orders, and Entropy Measures in Reliability
Version: 0.2.0
Description: Implements methods for bivariate Laplace transforms of residual lives and reversed residual lives, associated stochastic ordering concepts, and dynamic entropy measures for reliability analysis. The package covers three primary research areas: (1) Bivariate Laplace transform of residual lives and stochastic comparisons based on the bivariate Laplace transform order of residual lives (BLt-rl), including weak bivariate hazard rate, mean residual life, and relative mean residual life orders, nonparametric estimation, and NBUHR/NWUHR aging class characterisation (Jayalekshmi, Rajesh, and Nair, 2022, <doi:10.1080/03610926.2022.2085874>); (2) Bivariate Laplace transform order of reversed residual lives (BLt-Rrl), reversed hazard gradient, reversed mean residual life, and the associated stochastic orders (weak bivariate reversed hazard rate, weak bivariate reversed mean residual life); (3) Residual entropy generating function, a dynamic version of Golomb's (1966) information generating [...truncated...]
License: GPL-3
URL: https://itsmdivakaran.github.io/BivLaplaceRL/, https://github.com/itsmdivakaran/BivLaplaceRL
BugReports: https://github.com/itsmdivakaran/BivLaplaceRL/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, MASS, survival, covr
VignetteBuilder: knitr
NeedsCompilation: yes
Language: en-GB
Packaged: 2026-04-29 07:42:33 UTC; maheshdivakaran
Author: Mahesh Divakaran [aut, cre] , S. Jayalekshmi [aut] , G. Rajesh [aut] , N. Unnikrishnan Nair [aut] , Smitha S. [aut]
Maintainer: Mahesh Divakaran <imaheshdivakaran@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-29 19:10:20 UTC

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New package mrtsSphere with initial version 0.1.2
Package: mrtsSphere
Title: Multi-Resolution Thin-Plate Splines on the Sphere
Version: 0.1.2
Description: Constructs multi-resolution thin-plate spline basis functions on the sphere for use in spatial regression and large-scale spatial prediction problems. Implements the basis system described in Huang, Huang, and Ing (2025) "Multi-Resolution Spatial Methods on the Sphere: Efficient Prediction for Global Data", Environmetrics, <doi:10.1002/env.70092>. Heavy computations are written in 'C++' via 'Rcpp' with optional 'OpenMP' parallelism.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: Rcpp, RSpectra
LinkingTo: Rcpp, RcppEigen, RcppNumerical
Suggests: fields, testthat (>= 3.0.0)
SystemRequirements: GNU make
URL: https://github.com/STLABTW/multi-resolution-sphere
BugReports: https://github.com/STLABTW/multi-resolution-sphere/issues
NeedsCompilation: yes
Packaged: 2026-04-28 23:07:49 UTC; hyhuang
Author: Hao-Yun Huang [aut, cre] , Hsin-Cheng Huang [aut] , Ching-Kang Ing [aut]
Maintainer: Hao-Yun Huang <hhuscout@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-29 18:40:07 UTC

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New package MCseqReplic with initial version 1.0.0
Package: MCseqReplic
Version: 1.0.0
Date: 2026-04-29
Title: Monte Carlo Simulations of Time Changes in Sequences
Depends: R (>= 3.0.0), TraMineR (>= 2.2-2)
Imports: WeightedCluster (>= 1.6.0), aricode, doParallel, foreach, doSNOW, iterators, stats, vegan, wCorr
Description: Generates replicated sets of sequences with Monte Carlo simulated timing changes and computes various indicators for evaluating effects of timing uncertainty on sequence analysis results. See Ritschard, G. and Liao, T.F. (2026): "Assessing the Impact of Timing Errors in Sequence Analysis". International Journal of Social Research Methodology <doi:10.1080/13645579.2026.2666297>.
License: GPL (>= 2)
URL: http://traminer.unige.ch
Encoding: UTF-8
Maintainer: Gilbert Ritschard <gilbert.ritschard@unige.ch>
NeedsCompilation: no
Packaged: 2026-04-29 07:20:07 UTC; grits
Author: Gilbert Ritschard [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-04-29 19:00:13 UTC

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New package llmcoder with initial version 1.0.0
Package: llmcoder
Title: LLM-Powered Code Generation and Error Fixing for 'RStudio'
Version: 1.0.0
Description: An 'RStudio' addin that integrates large language model (LLM) assistance directly into the code-editing workflow. Users can generate R code from inline comments, obtain LLM-assisted fixes for console errors, and insert plain-English explanations of selected code blocks - all without leaving the editor. Supports 'OpenAI', 'Anthropic' (Claude), 'DeepSeek', 'Groq', 'Together AI', 'OpenRouter', 'Ollama' (fully local, no API key required), and any 'OpenAI'-compatible custom endpoint (e.g. 'LM Studio', 'vLLM', 'llama.cpp').
License: MIT + file LICENSE
Date: 2026-04-25
Depends: R (>= 4.1.0)
Encoding: UTF-8
URL: https://github.com/ShiyangZheng/llmcoder
BugReports: https://github.com/ShiyangZheng/llmcoder/issues
Imports: rstudioapi (>= 0.13), httr2 (>= 1.0.0), miniUI (>= 0.1.1), shiny (>= 1.7.0), stringr (>= 1.5.0), rlang (>= 1.0.0)
Suggests: jsonlite (>= 1.8.0), testthat (>= 3.0.0), withr (>= 2.5.0)
NeedsCompilation: no
Packaged: 2026-04-29 07:10:37 UTC; admin
Author: Shiyang Zheng [aut, cre]
Maintainer: Shiyang Zheng <shiyang.zheng@nottingham.ac.uk>
Repository: CRAN
Date/Publication: 2026-04-29 19:00:02 UTC

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New package lapop with initial version 2.1.5
Package: lapop
Title: Processing, Visualizing, and Labeling Americas Barometer Data
Version: 2.1.5
Author: Robert Vidigal [cre, aut] , Luke Plutowski [ctb, aut]
Date: 2026-04-22
Maintainer: Robert Vidigal <robert.vidigal@vanderbilt.edu>
Description: Labeling, weighting, and plotting data following custom style guidelines for use in reports, presentations, and social media posts. The Center for Global Democracy (formerly the Latin American Public Opinion Project) at Vanderbilt University is a leader in public survey research, best known for the Americas Barometer project. The publicly available data can be downloaded from: <https://www.vanderbilt.edu/lapop/data-access.php>.
URL: https://lapop-central.github.io/lapop/
Depends: R (>= 4.1.0)
Imports: ggplot2, ggtext, ggrepel, showtext, grid, gridtext, gridExtra, sf, sysfonts, systemfonts, svglite, dplyr, srvyr, survey, haven, stats, purrr, tibble, marginaleffects, stringr, zoo
VignetteBuilder: knitr
Suggests: readstata13, rio, rprojroot, knitr, rmarkdown, tidyr, ggpattern, testthat (>= 3.0.0)
Language: en-US
Encoding: UTF-8
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2026-04-28 20:04:39 UTC; vidigar
Repository: CRAN
Date/Publication: 2026-04-29 18:30:02 UTC

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New package jgd with initial version 0.1.0
Package: jgd
Title: JSON Graphics Device
Version: 0.1.0
Description: A graphics device that translates R plotting operations into JSON and streams them over a local connection to an external display application. The device acts as a pure recorder with no rendering dependencies; all rendering occurs in that application (e.g. a 'VS Code' extension or a web browser). Official display applications are available from the project homepage.
License: MIT + file LICENSE
Copyright: file inst/COPYRIGHTS
Encoding: UTF-8
NeedsCompilation: yes
Suggests: callr, ggplot2, jsonlite, processx, testthat (>= 3.0.0), withr
URL: https://github.com/grantmcdermott/jgd
BugReports: https://github.com/grantmcdermott/jgd/issues
Packaged: 2026-04-29 04:44:11 UTC; gmcd
Author: Grant McDermott [aut, cre], Tatsuya Shima [aut], Dave Gamble [cph] , cJSON contributors [cph]
Maintainer: Grant McDermott <contact@grantmcdermott.com>
Repository: CRAN
Date/Publication: 2026-04-29 19:00:07 UTC

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New package hatsurvey with initial version 1.1.1
Package: hatsurvey
Title: Survey Indicator Estimation for Complex Survey Designs
Version: 1.1.1
Description: Estimates survey indicators using complex survey designs. Supports mean, proportion, and ratio estimation with multi-stage stratified sampling, weights, and finite population correction. The output is designed to be comparable to results from 'SPSS' (Statistical Package for the Social Sciences) Complex Samples procedures.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: survey, stats
NeedsCompilation: no
Packaged: 2026-04-28 20:58:27 UTC; Haqqul Amin
Author: Asy-Syaja'ul Haqqul Amin [aut, cre]
Maintainer: Asy-Syaja'ul Haqqul Amin <haqqul.amin06@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-29 18:40:13 UTC

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New package encharter with initial version 0.9
Package: encharter
Title: Enhanced Office Open XML Charting for 'openxlsx2'
Version: 0.9
Language: en-US
Description: Provides a high-level 'R6' interface for creating complex Office Open XML (OOXML) charts. Allows users to build multi-series combo charts with secondary axes and granular styling options, designed to integrate seamlessly with 'openxlsx2'.
License: MIT + file LICENSE
URL: https://janmarvin.github.io/encharter/, https://github.com/JanMarvin/encharter
BugReports: https://github.com/JanMarvin/encharter/issues
Encoding: UTF-8
LinkingTo: openxlsx2
Imports: R6, openxlsx2 (>= 1.26)
Suggests: testthat (>= 3.0.0), viridisLite
NeedsCompilation: yes
Packaged: 2026-04-28 20:26:08 UTC; janmarvingarbuszus
Author: Jan Marvin Garbuszus [aut, cre]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>
Repository: CRAN
Date/Publication: 2026-04-29 18:30:08 UTC

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New package shorm with initial version 0.1.3
Package: shorm
Title: Detect the Shape of Dose-Response Curves
Version: 0.1.3
Description: Provides functions for hormesis screening by classifying the shapes of dose-response curves based on semiparametric tests. The shapes are indications of different potential toxicology effect. It also offers a scalable visualization scheme to present testing conclusions for large-scale dataset with a large number of dose-response curves. For more information, see Jin et al. (2026) <https://github.com/YinglJin-0203/shorm/blob/main/Manuscripts/BotanicalHormesisTestingFinalDraft.docx>.
License: GPL-3
Encoding: UTF-8
Imports: SRMERS, ggplot2, scales, dplyr
URL: https://github.com/YinglJin-0203/shorm
NeedsCompilation: no
Packaged: 2026-04-28 19:37:53 UTC; ebair
Author: Eric Bair [aut, cre], Ying Jin [aut, cph]
Maintainer: Eric Bair <software.tools@sciome.com>
Repository: CRAN
Date/Publication: 2026-04-29 08:20:02 UTC

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New package magentabook with initial version 0.1.0
Package: magentabook
Title: HM Treasury Magenta Book Policy Evaluation Primitives
Version: 0.1.0
Description: Implements policy evaluation primitives from HM Treasury Magenta Book guidance (HM Treasury, 2020): theory of change and log-frame construction, evaluation planning and stakeholder mapping, power and minimum-detectable-effect calculations for randomised designs (including cluster and stepped-wedge designs following 'Hussey' and 'Hughes' (2007) <doi:10.1016/j.cct.2006.05.007> and 'Hemming' et al. (2015) <doi:10.1136/bmj.h391>), Maryland Scientific Methods Scale ratings, structured confidence ratings, light-weight difference-in-differences and interrupted-time-series estimators ('Bernal' et al. (2017) <doi:10.1093/ije/dyw098>) with cluster-robust standard errors ('Cameron' and 'Miller' (2015) <doi:10.3368/jhr.50.2.317>), pre-treatment balance checks ('Stuart' (2010) <doi:10.1214/09-STS313>), and cost-effectiveness analysis (cost per outcome, incremental cost-effectiveness ratio, acceptability curves, incremental net benefit, quality-adjusted and disability-a [...truncated...]
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: cli (>= 3.6.0), stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, openxlsx, officer, flextable, pwr, sandwich, swCRTdesign, BCEA, cobalt
URL: https://github.com/charlescoverdale/magentabook
BugReports: https://github.com/charlescoverdale/magentabook/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-28 16:13:08 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-29 08:10:02 UTC

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New package arcopt with initial version 0.3.0
Package: arcopt
Title: Adaptive Regularization using Cubics for Optimization
Version: 0.3.0
Description: Implements cubic regularization methods (ARC) for local optimization problems common in statistics and applied research. Provides robust handling of ill-conditioned, nonconvex, and indefinite Hessian problems with automatic saddle point escape. Supports box constraints; linear equality constraints are planned for a future release.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/marcus-waldman/arcopt
BugReports: https://github.com/marcus-waldman/arcopt/issues
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 1.0.0), utils
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr, marqLevAlg, trust
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-04-28 16:36:29 UTC; marcu
Author: Marcus Waldman [aut, cre]
Maintainer: Marcus Waldman <marcus.waldman@cuanschutz.edu>
Repository: CRAN
Date/Publication: 2026-04-29 08:10:10 UTC

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New package rgbIndices with initial version 0.1.1
Package: rgbIndices
Title: RGB Visible Indices for Image Analysis
Version: 0.1.1
Description: Computes RGB-based vegetation, color, and spectral indices from digital images for applications in agriculture, crop phenotyping, and remote sensing. The methods are based on digital image processing and plant phenotyping approaches (Singh et al. (2023) <doi:10.1080/10106049.2022.2160831>).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: raster, tibble
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-28 11:29:58 UTC; Admin
Author: RN Singh [aut], Bappa Das [aut], Sonam [aut], Anil Kumar [aut], Santosha Rathod [aut, cre]
Maintainer: Santosha Rathod <santoshagriculture@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-29 07:40:02 UTC

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New package rbiodatacr with initial version 0.1.0
Package: rbiodatacr
Title: R Client for the BIODATACR Biodiversity Data Platform of Costa Rica
Version: 0.1.0
Description: Provides functions to query occurrence records, species information, and datasets from BIODATACR <https://biodiversidad.go.cr>, the national biodiversity information platform of Costa Rica managed by the Technical Office of CONAGEBIO, Costa Rica. Built on the Atlas of Living Australia (ALA) API infrastructure.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/ManuelSpinola/rbiodatacr, https://manuelspinola.github.io/rbiodatacr/
BugReports: https://github.com/ManuelSpinola/rbiodatacr/issues
Suggests: CoordinateCleaner, ggplot2, knitr, rmarkdown, sf, testthat (>= 3.0.0)
Imports: cli, dplyr, httr, jsonlite, purrr
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2026-04-28 01:22:28 UTC; manuel_nuevo
Author: Manuel Spinola [aut, cre]
Maintainer: Manuel Spinola <mspinola10@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-29 07:30:02 UTC

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New package fahb with initial version 1.0.0
Package: fahb
Title: Design and Analysis of Pilot Trials Assessing Recruitment Feasibility
Version: 1.0.0
Description: Find optimal decisions rules for guiding progression decisions following a pilot trial, assuming a hierarchical recruitment model. Estimate the time until the main trial recruits to target, given the recruitment data observed in the pilot.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: BH, knitr, patchwork, RcppEigen, rmarkdown, testthat (>= 3.0.0)
Imports: brms, ggplot2, mco, mgcv, posterior, rlang
VignetteBuilder: knitr
URL: https://dtwilson.github.io/fahb/, https://github.com/DTWilson/fahb
BugReports: https://github.com/DTWilson/fahb/issues
NeedsCompilation: no
Packaged: 2026-04-28 15:01:50 UTC; meddwilb
Author: Duncan Wilson [aut, cre, cph]
Maintainer: Duncan Wilson <d.t.wilson@leeds.ac.uk>
Repository: CRAN
Date/Publication: 2026-04-29 08:00:02 UTC

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Tue, 28 Apr 2026

New package xtfifevd with initial version 1.0.2
Package: xtfifevd
Title: Panel Fixed Effects Filtered and Variance Decomposition Estimation
Version: 1.0.2
Description: Implements fixed effects estimators for time-invariant variables in panel data models. Provides three estimation methods: FEVD (Fixed Effects Vector Decomposition) from Plumper and Troeger (2007) <doi:10.1093/pan/mpm002>, and FEF (Fixed Effects Filtered) and FEF-IV (instrumental variables variant) from Pesaran and Zhou (2018) <doi:10.1080/07474938.2016.1222225>. All methods use the correct Pesaran-Zhou variance estimators that account for generated regressor uncertainty, avoiding the size distortions documented in the literature.
License: GPL-3
URL: https://github.com/muhammedalkhalaf/xtfifevd
BugReports: https://github.com/muhammedalkhalaf/xtfifevd/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, MASS
Suggests: plm, lmtest, sandwich, testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-04-27 19:31:03 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-28 20:30:02 UTC

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New package rPandas with initial version 0.1.4
Package: rPandas
Title: Translating from R to Python's Pandas Package
Version: 0.1.4
Description: Provides an R interface to Python's 'pandas' library using non-standard evaluation. Users can write R code (e.g., rp_filter(), rp_select(), rp_mutate()) that is translated into pandas commands and executed via 'reticulate'. Supports chaining, grouping, and 'summarisation', and includes a 'table_name' parameter to generate 'copy-pasteable' Python code. Ideal for leveraging pandas' speed and flexibility within the R ecosystem.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
Imports: reticulate, rlang
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-27 15:55:05 UTC; akshat
Author: Akshat Maurya [aut, cre], Rihaan Satia [aut], David Shilane [aut]
Maintainer: Akshat Maurya <codingmaster902@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-28 20:30:09 UTC

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New package K4ProsesSiswa with initial version 0.1.0
Package: K4ProsesSiswa
Title: Student Process Data Files for TIMSS 2023 Grade 4
Version: 0.1.0
Description: The official website of the Trends in International Mathematics and Science Study (TIMSS) 2023 provides Student Process Data Files for Grade 4 in RData format. However, the data are presented exclusively in numerical form. This package converts the numeric values into categorical variables, allowing for easier interpretation and reducing ambiguity in statistical analysis. The category labels are presented in Bahasa Indonesia. This effort also supports the promotion of Bahasa Indonesia in programming, in line with its recognition as one of the official languages of the United Nations. For further information, visit <https://timss2023.org/>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-27 15:49:24 UTC; HP
Author: Fadhlul Mubarak [aut, cre] , Vinny Yuliani Sundara [aut] , Nurniswah [aut] , Fakhrur Razi [aut]
Maintainer: Fadhlul Mubarak <mubarakfadhlul@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-28 20:20:02 UTC

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New package K4PrestasiSiswa with initial version 0.1.0
Package: K4PrestasiSiswa
Title: Student Achievement Data Files for TIMSS 2023 Grade 4
Version: 0.1.0
Description: The official Trends in International Mathematics and Science Study (TIMSS) 2023 website provides Student Achievement Data Files for Grade 4 in RData format. However, the available data are presented solely as numerical values. This package transforms the numerical data into categorical variables, enabling clearer interpretation and reducing ambiguity in statistical analysis. The category labels are provided in Bahasa Indonesia. This initiative contributes to promoting the use of Bahasa Indonesia in programming, in line with its designation as one of the official languages of the United Nations. For more details see <https://timss2023.org/>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-27 15:35:54 UTC; HP
Author: Fadhlul Mubarak [aut, cre] , Vinny Yuliani Sundara [aut] , Nurniswah [aut] , Fakhrur Razi [aut]
Maintainer: Fadhlul Mubarak <mubarakfadhlul@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-28 20:20:07 UTC

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New package ineptr2 with initial version 0.3.0
Package: ineptr2
Title: Wrapper for Statistics Portugal API
Version: 0.3.0
Description: An R6-based client to facilitate interaction with the Statistics Portugal (Instituto Nacional de Estatistica - INE) API (<https://www.ine.pt/xportal/xmain?xpid=INE&xpgid=ine_api&INST=322751522&xlang=en>).
License: MIT + file LICENSE
URL: https://c-matos.github.io/ineptr2/, https://github.com/c-matos/ineptr2
BugReports: https://github.com/c-matos/ineptr2/issues
Imports: httr2, jsonlite, R6, rlang, xml2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-27 10:13:12 UTC; carlmatos
Author: Carlos Matos [aut, cre, cph]
Maintainer: Carlos Matos <carlosmdmatos@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-28 20:10:02 UTC

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New package Immutables with initial version 1.0.1
Package: Immutables
Title: Fast and Functional Data Structures
URL: https://oneilsh.github.io/immutables/, https://github.com/oneilsh/immutables
BugReports: https://github.com/oneilsh/immutables/issues
Version: 1.0.1
Description: Provides fast, side-effect free data structures, including catenable named lists, priority queues, double-ended queues, ordered sequences, and interval indices. Implementation is based on the finger-tree data structure of Hinze and Paterson (2006) <doi:10.1017/S0956796805005769>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: coro, Rcpp, lambda.r
LinkingTo: Rcpp
Suggests: covr, ggplot2, ggtext, igraph, IRanges, knitr, microbenchmark, pkgdown, pkgload, rmarkdown, rprojroot, rstackdeque, rticles, S4Vectors, scales, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-04-27 14:22:04 UTC; oneilsh
Author: Shawn T. O'Neil [aut, cre]
Maintainer: Shawn T. O'Neil <shawn@tislab.org>
Repository: CRAN
Date/Publication: 2026-04-28 20:10:13 UTC

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New package exams2ilias with initial version 0.0.1
Package: exams2ilias
Title: ILIAS Export Interface for R/Exams
Version: 0.0.1
Description: Utilities for exporting exercises from 'R/exams' to question pools for the learning management system 'ILIAS'. The package implements a Question and Test Interoperability 1.2 rendering path tailored to 'ILIAS' and writes the question-pool XML layout validated for imports in 'ILIAS' 9.17. Supported exercise types include single-choice, multiple-choice, numeric, string, and combined gap questions. The underlying 'R/exams' framework is described in Zeileis, Umlauf, and Leisch (2014) <doi:10.18637/jss.v058.i01>.
License: GPL-2 | GPL-3
Encoding: UTF-8
Imports: base64enc, exams, tools, utils
Suggests: knitr, pkgdown, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/mchlbckr/exams2ilias, https://buecker.ms/exams2ilias/
BugReports: https://github.com/mchlbckr/exams2ilias/issues
NeedsCompilation: no
Packaged: 2026-04-27 15:00:16 UTC; michael
Author: Michael Buecker [aut, cre, cph] , Amar Jeeth [ctb], Achim Zeileis [ctb] , Florian Wickelmaier [ctb]
Maintainer: Michael Buecker <michael.buecker@fh-muenster.de>
Repository: CRAN
Date/Publication: 2026-04-28 20:10:08 UTC

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New package CharAnalysis with initial version 2.0.2
Package: CharAnalysis
Title: Peak Detection and Fire History from Sediment-Charcoal Records
Version: 2.0.2
Date: 2026-04-27
Description: A program for reconstructing local fire histories from high-resolution, continuously sampled lake-sediment charcoal records. 'CharAnalysis' decomposes a charcoal record into low- and high-frequency components and uses locally defined thresholds to separate fire signal from noise, following the approach of Higuera et al. (2009) <doi:10.1890/07-2019.1>, with underlying assumptions and rationale described in Higuera et al. (2010) <doi:10.1071/WF09134>. The package is designed for macroscopic charcoal records with contiguous sampling fine enough to resolve individual fire events, and is not appropriate for low-resolution or discontinuously sampled records. See the package URL for the User's Guide and application examples.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/phiguera/CharAnalysis, https://doi.org/10.5281/zenodo.19304064
BugReports: https://github.com/phiguera/CharAnalysis/issues
Depends: R (>= 4.0.0)
Imports: MASS, graphics, stats, utils, zoo
Suggests: ggplot2 (>= 3.4.0), patchwork, ggtext, readxl, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-27 22:30:53 UTC; philip.higuera
Author: Philip Higuera [aut, cre]
Maintainer: Philip Higuera <philip.higuera@umontana.edu>
Repository: CRAN
Date/Publication: 2026-04-28 20:30:20 UTC

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New package stagsynth with initial version 0.1.0
Package: stagsynth
Title: Staggered Synthetic Control Estimation and Inference
Version: 0.1.0
Description: Implements the Staggered Synthetic Control (SSC) method for estimating treatment effects in panel data with staggered adoption, as proposed by Cao, Lu, and Wu (2020) <doi:10.48550/arXiv.1912.06320>. Constructs synthetic control weights via constrained quadratic programming, estimates heterogeneous treatment effects and event-time average treatment effects on the treated (ATT), and provides placebo-in-time confidence intervals and p-values.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: quadprog
Suggests: ggplot2, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-04-24 19:22:18 UTC; Administrator
Author: Zhanchao Fu [aut, cre], Jianfei Cao [aut]
Maintainer: Zhanchao Fu <fuzhanchao2001@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-28 19:20:03 UTC

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New package seairmobility with initial version 0.1.0
Package: seairmobility
Title: Mobility-Based SEAIR Epidemic Models
Version: 0.1.0
Description: Tools for simulating, analysing, and fitting mobility-based SEAIR (Susceptible-Exposed-Asymptomatic-Infectious-Recovered) compartmental epidemic models with heterogeneous individual mobility. Each individual carries a fixed mobility trait that scales susceptibility and infectiousness through a rank-one kernel, extending the mobility-based compartmental framework of Jiang et al. (2025) <doi:10.1137/24M1691557> by adding a latent stage and a behavioural split between asymptomatic and symptomatic infectiousness. Provides a numerical solver for the underlying partial differential equation system, closed-form computation of the basic reproduction number R0 and the final epidemic size, and a parametric least-squares routine for recovering the mobility distribution from an observed aggregate symptomatic time series.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: deSolve (>= 1.30), stats, graphics
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-04-25 01:30:00 UTC; cran-review
Author: Weinan Wang [aut, cre]
Maintainer: Weinan Wang <ww@ou.edu>
Repository: CRAN
Date/Publication: 2026-04-28 19:30:13 UTC

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New package rtemis.a3 with initial version 0.5.3
Package: rtemis.a3
Title: Amino Acid Annotation (A3) Format
Version: 0.5.3
Date: 2026-04-24
Description: Implements the Amino Acid Annotation (A3) format using 'S7' classes. The A3 format is a structured schema for annotating amino acid sequences with site, region, post-translational modification (PTM), processing event, and variant information. Provides functions to create, read, and write A3 objects, and to import annotations from 'UniProt', 'AlphaFold', 'PDBe', 'ClinVar', and 'Ensembl'.
URL: https://a3.rtemis.org
BugReports: https://github.com/rtemis-org/a3/issues
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, data.table, rtemis.core, S7, utils
Suggests: biomaRt, httr, jsonlite, seqinr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-04-25 04:43:12 UTC; sdg
Author: E.D. Gennatas [aut, cre, cph]
Maintainer: E.D. Gennatas <gennatas@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-28 19:30:18 UTC

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New package RMSTpowerBoost with initial version 1.0.3
Package: RMSTpowerBoost
Title: Power and Sample Size for Restricted Mean Survival Time Based Clinical Trials
Version: 1.0.3
Description: Tools for Restricted Mean Survival Time based study design and analysis planning. Provides power and sample size calculations for two-arm studies using direct modeling approaches from the literature, including semiparametric additive models, linear Inverse Probability Weighting based models from Wei (2014) <doi:10.1093/biostatistics/kxt050>, multiplicative stratified models from Wang (2019) <doi:10.1002/sim.8356>, and covariate-dependent censoring methods from Wang (2018) <doi:10.1007/s10985-017-9391-6>.
License: GPL-3
Encoding: UTF-8
Imports: survival, mgcv, ggplot2, stats, utils, dplyr, magrittr, future, future.apply, knitr
Suggests: roxygen2, shiny, shinyjs, bslib, DT, plotly, kableExtra, survminer, rmarkdown, mice, tidyr, purrr, tibble, htmltools, tinytex, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
URL: https://uthsc-zhang.github.io/RMSTpowerBoost-Package/,
BugReports: https://github.com/UTHSC-Zhang/RMSTpowerBoost-Package/issues
NeedsCompilation: no
Packaged: 2026-04-26 19:51:30 UTC; arnab
Author: Arnab Aich [aut, cre] , Yuan Zhang [aut]
Maintainer: Arnab Aich <aaich@fsu.edu>
Repository: CRAN
Date/Publication: 2026-04-28 19:50:02 UTC

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New package rkaf with initial version 0.1.0
Package: rkaf
Title: Kolmogorov-Arnold Fourier Networks in R
Version: 0.1.0
Description: Provides an R implementation of Kolmogorov-Arnold Fourier Networks using the torch backend. The package supports regression, binary classification, multiclass classification, formula and matrix interfaces, mini-batch training, validation splits, early stopping, standardization, best-model restoration, and KAF-specific diagnostics.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, graphics, torch
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, pkgdown
URL: https://github.com/gsidoine/rkaf, https://gsidoine.github.io/rkaf/
BugReports: https://github.com/gsidoine/rkaf/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-26 17:46:14 UTC; gjhsi
Author: Guillaume Sidoine [aut, cre]
Maintainer: Guillaume Sidoine <gjh.sidoine@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-28 19:40:02 UTC

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New package rgml0 with initial version 0.0.1
Package: rgml0
Title: Random Graphical Model Estimation under L0 Penalty
Version: 0.0.1
Description: Provides functions for estimating sparse precision matrices using a random graphical model framework under an L0-style penalty. The method evaluates candidate theta values and returns both continuous and binary precision matrices representing inferred network structures.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: MASS
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-04-26 18:43:47 UTC; Matan
Author: Mahdieh Farzin Asanjan [aut, cre], Vilda Purutcuoglu [aut], Ernst Wit [aut]
Maintainer: Mahdieh Farzin Asanjan <mah.farzin2010@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-28 19:40:07 UTC

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New package pfwim with initial version 1.0.2
Package: pfwim
Title: Food Web Construction for Paleo Communities
Version: 1.0.2
Description: R tools for reconstructing paleo food webs from species traits and size rules.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
Imports: dplyr, stats, tibble, tidyr, tidyselect
Suggests: igraph, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://beckslab.github.io/pfwim/, https://github.com/BecksLab/pfwim
NeedsCompilation: no
Packaged: 2026-04-25 10:15:13 UTC; tanyastrydom
Author: Tanya Strydom [aut, cre] , Jack O. Shaw [ctb] , Alexander M. Dunhill [ctb] , Andrew Beckerman [ctb] , Baran Karapunar [ctb] , Jennifer A. Dunne [ctb] , Pincelli M. Hull [ctb]
Maintainer: Tanya Strydom <t.strydom@sheffield.ac.uk>
Repository: CRAN
Date/Publication: 2026-04-28 19:30:24 UTC

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New package OmopStudyBuilder with initial version 0.1.0
Package: OmopStudyBuilder
Title: Build Reproducible Network Studies for OMOP Common Data Model
Version: 0.1.0
Description: Streamlines the setup and execution of network studies using the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). Creates standardised project structures with template code, manages dependencies with 'renv', provides code review utilities, and supports containerised execution with 'Docker' for reproducible multi-site studies. Includes 'GitHub' integration for collaboration and version control.
License: Apache License (>= 2)
URL: https://oxford-pharmacoepi.github.io/OmopStudyBuilder/
Depends: R (>= 4.1.0)
Imports: cli, jsonlite, omopgenerics, rlang, whisker
Suggests: dplyr, gert, getPass, gh, here, knitr, processx, purrr, renv, rmarkdown, scales, stringr, testthat
VignetteBuilder: knitr
Encoding: UTF-8
BugReports: https://github.com/oxford-pharmacoepi/OmopStudyBuilder/issues
NeedsCompilation: no
Packaged: 2026-04-24 15:39:42 UTC; foluwa
Author: Folu Akintola [aut, cre] , Edward Burn [aut] , Marti Catala [aut] , Marta Alcalde-Herraiz [ctb]
Maintainer: Folu Akintola <folu.akintola@ndorms.ox.ac.uk>
Repository: CRAN
Date/Publication: 2026-04-28 19:10:08 UTC

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New package okxr with initial version 0.2.4
Package: okxr
Title: R Interface to the 'OKX' REST API
Version: 0.2.4
Author: Oliver Zhou [aut, cre]
Maintainer: Oliver Zhou <oliver.yxzhou@gmail.com>
Description: Provides lightweight R wrappers for the 'OKX' REST API, covering endpoints for market data, trading, account management, asset balances, and copy trading. The upstream API reference is available at <https://www.okx.com/docs-v5/en/>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: rlang, httr, jsonlite, digest, base64enc, data.table
Suggests: testthat (>= 3.0.0)
URL: https://github.com/OliverLDS/okxr
BugReports: https://github.com/OliverLDS/okxr/issues
NeedsCompilation: no
Packaged: 2026-04-24 12:25:42 UTC; oliver
Repository: CRAN
Date/Publication: 2026-04-28 19:10:02 UTC

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New package matchpointR with initial version 0.1.0
Package: matchpointR
Title: Tidy Access to Women's Tennis Association (WTA) Data
Version: 0.1.0
Description: Scrapes and tidies publicly available data from the Women's Tennis Association website (<https://www.wtatennis.com>). Provides helpers to retrieve player biographies, singles and doubles career overviews, match histories, live rankings and aggregate statistics. Dynamic pages are rendered through a headless 'Chrome' session so 'JavaScript'-generated content is fully captured, and all outputs are returned as tidy data frames suitable for downstream analysis or visualisation.
License: Apache License (>= 2)
URL: https://github.com/Angnar-97/matchpointR
BugReports: https://github.com/Angnar-97/matchpointR/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: chromote, cli, jsonlite, magick, purrr, rvest, stringr, tibble, xml2
Suggests: httr2, knitr, rmarkdown, rsvg, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-26 14:34:10 UTC; User
Author: Alejandro Navas Gonzalez [aut, cre]
Maintainer: Alejandro Navas Gonzalez <angnar@telaris.es>
Repository: CRAN
Date/Publication: 2026-04-28 19:40:12 UTC

More information about matchpointR at CRAN
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New package irpfR with initial version 0.1.1
Package: irpfR
Title: Access to the Great Numbers of Brazilian Individual Income Tax (IRPF)
Version: 0.1.1
Description: Provides functions to download, clean, and structure open data from the Brazilian Federal Revenue (Receita Federal do Brasil - RFB) regarding Personal Income Tax (IRPF) statements. Includes a data dictionary and categorized metadata for several sections such as assets, rights, debts, and income brackets. More information about the data source can be found at <https://dados.gov.br/dados/conjuntos-dados/grandes-nmeros-do-imposto-de-renda-da-pessoa-fsica>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, httr2, janitor, magrittr, readr, tidyr, rlang, tidyselect, tibble
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Depends: R (>= 3.5)
Language: en-US
URL: https://github.com/luabragadeoliveira/irpfR
BugReports: https://github.com/luabragadeoliveira/irpfR/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-25 18:57:51 UTC; luabr
Author: Lua Braga de Oliveira [aut, cre]
Maintainer: Lua Braga de Oliveira <luabragadeoliveira@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-28 19:20:08 UTC

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New package greenbook with initial version 0.1.0
Package: greenbook
Title: HM Treasury Green Book Cost-Benefit Analysis Primitives
Version: 0.1.0
Description: Implements cost-benefit analysis primitives from HM Treasury Green Book guidance (HM Treasury, 2022, 2026): the kinked Social Time Preference Rate ('STPR'), discount factors, net present value ('NPV'), equivalent annual cost, and real-terms rebasing using the GDP deflator. Designed for UK central government appraisal and evaluation. Bundled parameter tables carry vintage metadata for reproducibility.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: cli (>= 3.6.0), stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, inflateR, openxlsx, officer, flextable
URL: https://github.com/charlescoverdale/greenbook
BugReports: https://github.com/charlescoverdale/greenbook/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-26 13:10:38 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charles.f.coverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-28 19:40:18 UTC

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New package GRCFE with initial version 0.1.0
Package: GRCFE
Title: Generate Optimal Row-Column Factorial Experiments
Version: 0.1.0
Maintainer: Sukanta Dash <sukanta.iasri@gmail.com>
Description: Provides tools for constructing row-column factorial experiment layouts for the estimation of main effects and two-factor interactions in factorial and fractional factorial experiments. The package implements generator-matrix based design construction methods motivated by 2fi-optimal row-column designs, where all main effects are estimable and as many two-factor interactions as possible are unconfounded; see Zhang, Pan and Shi (2025) <doi:10.1016/j.jspi.2024.106192>. It also includes theorem-based constructions, heuristic D-optimal search routines for unsupported or composite-level cases, utilities for building generator matrices, and diagnostic functions for evaluating aliasing and estimability properties of the generated designs.
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Imports: stats
Suggests: roxygen2, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-25 11:28:09 UTC; B.N Mandal
Author: Sukanta Dash [aut, cre], Amrit Kumar Paul [aut], Med Ram Verma [aut], Anurag Rawat [aut]
Repository: CRAN
Date/Publication: 2026-04-28 19:40:25 UTC

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New package factorselect with initial version 0.1.3
Package: factorselect
Title: Eigenvalue-Based Estimation of the Number of Factors in Approximate Factor Models
Version: 0.1.3
Description: Eigenvalue-based estimation of the number of factors in approximate factor models. Designed to work when either N or T is large, without requiring both dimensions to grow simultaneously. Implements the eigenvalue ratio estimator of Ahn and Horenstein (2013) <doi:10.3982/ECTA8968>, the information criteria of Bai and Ng (2002) <doi:10.1111/1468-0262.00273>, the tuned penalty of Alessi, Barigozzi and Capasso (2010) <doi:10.1016/j.spl.2010.08.005>, the auto-covariance ratio estimator of Lam and Yao (2012) <doi:10.1214/12-AOS970>, and the edge distribution estimators of Onatski (2009) <doi:10.3982/ECTA6964> and Onatski (2010) <doi:10.1162/REST_a_00043>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: RSpectra, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/penny4nonsense/factorselect
BugReports: https://github.com/penny4nonsense/factorselect/issues
NeedsCompilation: no
Packaged: 2026-04-24 19:22:51 UTC; e200601
Author: Jason Parker [aut, cre]
Maintainer: Jason Parker <jparker588@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-28 19:20:14 UTC

More information about factorselect at CRAN
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New package EFSATools with initial version 1.0.0
Package: EFSATools
Title: EFSA Ensemble of Data Collections Tools
Version: 1.0.0
Maintainer: Luca Belmonte <luca.belmonte@efsa.europa.eu>
Description: Provides tools for dataset operations and utilities designed to preserve data history within EFSA's ad hoc data collections. It also imports packages developed by EFSA that provide additional support for data collection activities.
License: EUPL-1.2
URL: https://openefsa.github.io/EFSATools/
BugReports: https://github.com/openefsa/EFSATools/issues
Depends: R (>= 4.1.0)
Imports: checkmate (>= 2.3.1), dplyr (>= 1.1.4), glue (>= 1.7.0), rlang (>= 1.1.4), stringr (>= 1.5.1), tidyr (>= 1.3.1), eppoFindeR (>= 2.0.0), distilleR (>= 1.0.0)
Suggests: devtools (>= 2.4.5), tibble (>= 3.3.0), covr (>= 3.6.4), knitr (>= 1.0), rmarkdown (>= 2.0), testthat (>= 3.0.0), usethis (>= 2.2.3), roxygen2 (>= 7.2.1), cli (>= 3.6.5)
Encoding: UTF-8
VignetteBuilder: knitr
Repository: CRAN
NeedsCompilation: no
Packaged: 2026-04-27 10:05:51 UTC; copello
Author: Lorenzo Copelli [aut] , Luca Belmonte [aut, cre]
Date/Publication: 2026-04-28 20:00:08 UTC

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New package cppally with initial version 0.1.0
Package: cppally
Title: A 'C++20' API for R
Version: 0.1.0
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>
Description: A header-only 'C++20' API for manipulating R data structures from 'C++'. Provides 'C++20' concepts specific to R, custom scalar and vector classes with built-in NA handling, automatic object protection, 'SIMD' (single-instruction-multiple-data), parallelisation, and a streamlined system for registering 'C++' functions, including templates, to R. Full API reference and documentation are available at <https://nicchr.github.io/cppally/>.
License: MIT + file LICENSE
URL: https://nicchr.github.io/cppally/
BugReports: https://github.com/NicChr/cppally/issues/
Depends: R (>= 4.5.0)
Suggests: bench, bit64, brio, callr, cli, cpp11, decor, desc, devtools, fs, glue, knitr, pkgload, purrr, readr, rmarkdown, roxygen2, rstudioapi, stringr, testthat (>= 3.0.0), usethis, vctrs, withr
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: C++20
NeedsCompilation: no
Packaged: 2026-04-25 19:09:28 UTC; Nmc5
Author: Nick Christofides [aut, cre, cph] , Martin Leitner-Ankerl [cph] , Malte Skarupke [cph] , Posit Software, PBC [cph]
Repository: CRAN
Date/Publication: 2026-04-28 19:20:20 UTC

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New package bedrockbio with initial version 1.3.0
Package: bedrockbio
Title: Open-Access Computational Biology Datasets
Version: 1.3.0
Description: Efficiently access the 'Bedrock Bio' library of open-access computational biology datasets. Lazily query datasets backed by 'DuckDB' and 'Apache Iceberg', with support for predicate pushdown and column projection to the cloud storage backend. This enables quick, iterative access to otherwise massive, unwieldy datasets without downloading them in full. See <https://bedrock.bio> for available datasets and documentation.
Language: en-US
License: GPL (>= 3)
URL: https://bedrock.bio, https://github.com/bedrock-bio/bedrock-bio-client
BugReports: https://github.com/bedrock-bio/bedrock-bio-client/issues
Depends: R (>= 4.1)
Imports: curl, DBI, dbplyr, dplyr, duckdb, jsonlite
Suggests: testthat (>= 3.0.0)
OS_type: unix
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-26 17:14:02 UTC; runner
Author: Liam Abbott [aut, cre, cph]
Maintainer: Liam Abbott <liam@bedrock.bio>
Repository: CRAN
Date/Publication: 2026-04-28 20:00:03 UTC

More information about bedrockbio at CRAN
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New package xreg2 with initial version 0.1.4
Package: xreg2
Title: Flexible Maximum Likelihood Regression with Gradient-Based Optimisation
Version: 0.1.4
Description: Fits flexible maximum likelihood regression models supporting censored, interval, and hybrid continuous/dichotomous data. Provides explicit analytic and numerical gradient computation, random intercept models via Gauss-Hermite quadrature, and multiple distribution families.
URL: https://github.com/MathsinHealth/xreg2
Depends: R (>= 4.0.0)
Imports: ucminf, numDeriv
Suggests: optimx, testthat (>= 3.0.0)
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-23 12:56:33 UTC; Eier
Author: Kim Rand [aut, cre]
Maintainer: Kim Rand <krand@krand.no>
Repository: CRAN
Date/Publication: 2026-04-28 18:10:02 UTC

More information about xreg2 at CRAN
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New package weatherStats with initial version 0.1
Package: weatherStats
Title: Airport Weather Station Statistics
Version: 0.1
Description: Download daily weather data recorded at airport weather stations using the National Centers for Environmental Information (NCEI) API <https://www.ncei.noaa.gov/support/access-search-service-api-user-documentation>.
Depends: R (>= 3.5.0)
License: GPL (>= 3)
LazyData: true
NeedsCompilation: no
Packaged: 2026-04-23 12:50:54 UTC; pdh10
Author: Peter Hoff [aut, cre]
Maintainer: Peter Hoff <peter.hoff@duke.edu>
Repository: CRAN
Date/Publication: 2026-04-28 18:10:09 UTC

More information about weatherStats at CRAN
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New package vasicekfit with initial version 0.1.0
Package: vasicekfit
Title: Extended Vasicek Credit Loss Model with Macroeconomic Factors
Version: 0.1.0
Description: Fits the extended Vasicek single-factor credit loss model where the probability of default depends on macroeconomic covariates. Maximum likelihood estimates of all parameters, including asset value correlation, are obtained via closed-form probit-transformed OLS regression; see Mayorov (2026) <doi:10.2139/ssrn.6506378> for derivation.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0), vasicek
URL: https://github.com/externalmemory/vasicekfit-cran-package
BugReports: https://github.com/externalmemory/vasicekfit-cran-package/issues
NeedsCompilation: no
Packaged: 2026-04-23 22:22:06 UTC; default
Author: Dmitriy Mayorov [aut, cre]
Maintainer: Dmitriy Mayorov <cran@dimview.org>
Repository: CRAN
Date/Publication: 2026-04-28 18:50:02 UTC

More information about vasicekfit at CRAN
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New package smfa with initial version 1.0.0
Package: smfa
Title: Stochastic Metafrontier Analysis
Version: 1.0.0
Description: Implements stochastic metafrontier analysis for productivity and performance benchmarking across firms operating under different technologies. Contains routines for the deterministic metafrontier envelope of O'Donnell et al. (2008) <doi:10.1007/s00181-007-0119-4> via linear and quadratic programming, and the stochastic metafrontier of Huang et al. (2014) <doi:10.1007/s11123-014-0402-2>. Also supports latent class stochastic metafrontier analysis and sample selection correction stochastic metafrontier models. Depends on the 'sfaR' package by Dakpo et al. (2023) <https://CRAN.R-project.org/package=sfaR>.
License: GPL (>= 3)
URL: https://github.com/SulmanOlieko/smfa, https://SulmanOlieko.github.io/smfa/
BugReports: https://github.com/SulmanOlieko/smfa/issues
Depends: R (>= 3.5.0), sfaR
Imports: stats
Suggests: knitr, rmarkdown, pkgdown, lmtest
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-04-24 14:26:20 UTC; macbookpro
Author: Sulman Olieko Owili [aut, cre]
Maintainer: Sulman Olieko Owili <oliekosulman@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-28 19:00:02 UTC

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New package rtForecastEval with initial version 0.1.0
Package: rtForecastEval
Title: Evaluate the Discrepancy Between Two Real-Time Updated Probabilistic Forecasts
Version: 0.1.0
Description: Methods from Yeh, Rice, and Dubin (2022) <doi:10.1080/00031305.2021.1967781> for comparing two continuously updated probabilistic forecasts under squared (Brier) loss: pointwise loss and variance, a global delta test (Monte Carlo p-values), simulation designs, and a naive pointwise band plot.
URL: https://github.com/chikuang/rtForecastEval
BugReports: https://github.com/chikuang/rtForecastEval/issues
License: GPL-3
Encoding: UTF-8
Imports: dplyr (>= 1.0.1), ggplot2 (>= 3.3.2), stats (>= 4.0.3), tidyr (>= 1.1.1), RSpectra (>= 0.16.0), rlist (>= 0.4.6.1), purrr (>= 0.3.4), MASS (>= 7.3-52)
Suggests: pkgload (>= 1.2.0), knitr (>= 1.28.0), readr (>= 1.3.1), reshape2 (>= 1.4.4), rmarkdown (>= 2.1.0), gridExtra (>= 2.3.0), tibble (>= 3.0.3), sde
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-24 02:21:34 UTC; chikuang
Author: Chi-Kuang Yeh [aut, cre] , Gregory Rice [ctb, ths], Joel A. Dubin [ctb, ths]
Maintainer: Chi-Kuang Yeh <cyeh@gsu.edu>
Repository: CRAN
Date/Publication: 2026-04-28 18:30:02 UTC

More information about rtForecastEval at CRAN
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New package PGaovR with initial version 0.1.0
Package: PGaovR
Title: Analysis of Experimental Data using ANOVA and Mean Comparison
Version: 0.1.0
Description: Provides tools for designing and analyzing agricultural experiments. It includes functions for generating randomized treatment layouts for standard experimental designs such as Completely Randomized Design (CRD), Randomized Block Design (RBD), Latin Square Design (LSD), Factorial Randomized Block Design (FRBD), split-plot design, and strip-plot design. The package implements one-factor and two-factor analysis of variance (ANOVA) and offers multiple comparison procedures, including Least Significant Difference (LSD), Tukey, and Duncan tests, to compare treatment means in single-factor and factorial experiments. The methods follow classical experimental design principles described in Gomez and Gomez (1984, Statistical Procedures for Agricultural Research, John Wiley & Sons, New York).
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: ggplot2, grid, multcompView, stats, utils
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-04-24 11:26:49 UTC; HPC
Author: Santosh Patil [aut, cre] , Yogesh Garde [aut]
Maintainer: Santosh Patil <patil.sgstat@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-28 19:00:43 UTC

More information about PGaovR at CRAN
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New package pfclust with initial version 0.1.0
Package: pfclust
Title: Power Fuzzy Clustering and Cluster-Wise Regression
Version: 0.1.0
Description: Implementations of Power Fuzzy Clustering (PFC) and Power Fuzzy Cluster-wise Regression (PFCR) for multivariate data. The package supports Minkowski distances, with the L1 case solved via iteratively re-weighted least squares and the case p > 1 solved via coordinate-wise root finding, as well as an adaptive, regularised Mahalanobis distance with per-cluster covariance matrices. Both plain fuzzy clustering and cluster-wise linear regression are provided. The corresponding paper can be found at Nguyen P.T., Tortora C., and Punzo A. (2026) <doi:10.1109/TFUZZ.2026.3683998>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
Suggests: flexCWM
NeedsCompilation: no
Packaged: 2026-04-23 21:26:10 UTC; cristina
Author: Phuc Thinh Nguyen [aut, cre], Cristina Tortora [aut, ths, dgs], Antonio Punzo [aut, ths, dgs]
Maintainer: Phuc Thinh Nguyen <phucthinh010603@yahoo.com>
Repository: CRAN
Date/Publication: 2026-04-28 18:20:02 UTC

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New package ngme2 with initial version 0.9.7
Package: ngme2
Title: Linear Latent Non-Gaussian Models with Flexible Distributions
Version: 0.9.7
Maintainer: Xiaotian Jin <xiaotian.jin@kaust.edu.sa>
Description: Fits and analyzes linear latent non-Gaussian models for temporal, spatial, and space-time data. The package provides model components for autoregressive and Ornstein-Uhlenbeck processes, random walks, Matern fields based on stochastic partial differential equations, separable and non-separable space-time models, graph-based Matern models, bivariate type-G fields, and user-defined sparse operators. Latent fields and observation models can use Gaussian and non-Gaussian noise distributions, including normal inverse Gaussian, generalized asymmetric Laplace, and skew-t distributions. Functions are included for simulation, likelihood-based estimation, prediction, cross-validation, convergence diagnostics, stochastic gradient optimization, batch-means confidence intervals, and posterior-like sampling. The modeling framework is described in Bolin, Jin, Simas and Wallin (2026) "A Unified and Computationally Efficient Non-Gaussian Statistical Modeling Framework" <doi:10.48550/arXiv.2602.23987 [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: Matrix, Rcpp, methods, rlang, ggplot2, graphics, fmesher, stats, gridExtra, withr
LinkingTo: Rcpp, RcppEigen,
Suggests: R.rsp, knitr, rmarkdown, testthat (>= 3.0.0), MASS, dplyr, fields, inlabru, MetricGraph, rSPDE, sf, zoo, mvtnorm
VignetteBuilder: knitr
URL: https://davidbolin.github.io/ngme2/, https://github.com/davidbolin/ngme2
Depends: R (>= 3.5.0)
BugReports: https://github.com/davidbolin/ngme2/issues
Copyright: The R package and code, and the main programs, were written by and are Copyright by David Bolin, Xiaotian Jin, Alexandre Simas, and Jonas Wallin, and are redistributable under the GNU Public License, version 3 or later. The package also includes bundled SuiteSparse components. For details see inst/COPYRIGHTS.
NeedsCompilation: yes
Packaged: 2026-04-24 05:03:15 UTC; jinx0a
Author: David Bolin [aut, cph], Xiaotian Jin [aut, cre], Alexandre Simas [aut], Jonas Wallin [aut], Andrea V. Rocha [ctb] , Timothy A. Davis [ctb, cph] , Patrick R. Amestoy [ctb, cph] , Iain S. Duff [ctb, cph] , John K. Reid [ctb, cph] , Yanqing Chen [ctb, c [...truncated...]
Repository: CRAN
Date/Publication: 2026-04-28 18:50:08 UTC

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New package nestable with initial version 0.1.0
Package: nestable
Title: Collapsible 'HTML' Tables from Hierarchical Data
Version: 0.1.0
Description: Creates collapsible, expandable 'HTML' tables from hierarchical data. Supports data frame input with multi-level grouping, custom column formatters, bottom-up rollup aggregation, and CSS-variable-based theming. Works in 'Shiny' applications, R Markdown, 'Quarto', and the 'RStudio' Viewer.
License: GPL (>= 3)
Encoding: UTF-8
Imports: htmltools (>= 0.5.0)
Suggests: shiny (>= 1.7.0), testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-04-24 14:18:35 UTC; underwood_derek
Author: Derek Underwood [aut, cre]
Maintainer: Derek Underwood <dereku@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-28 19:00:10 UTC

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New package multiscape with initial version 1.0.6
Package: multiscape
Version: 1.0.6
Title: Multi-Objective Spatial Planning
Description: Provides a modular framework for exact multi-objective spatial planning using mixed-integer programming. The package supports the definition of planning problems through planning units, features, management actions, action effects, spatial relations, targets, constraints, and objective functions. It enables the optimisation of spatial planning portfolios under considerations such as boundary structure, connectivity, and fragmentation. Supported multi-objective methods include weighted-sum aggregation, epsilon-constraint, and the augmented epsilon-constraint method. Problems can be solved with several commercial and open-source optimisation solvers. Optional solver backends include the 'gurobi' R package, which is distributed with the Gurobi Optimizer installation <https://docs.gurobi.com/projects/optimizer/en/13.0/reference/r/setup.html>, and the 'rcbc' R package, available from GitHub at <https://github.com/dirkschumacher/rcbc>. For background on multi-objective optimisati [...truncated...]
Depends: R (>= 4.1.0)
Imports: assertthat (>= 0.2.0), Matrix, proto, magrittr, dplyr, Rcpp, cli, sf, methods, RANN, exactextractr, ggplot2, terra, ggrepel
Suggests: roxygen2, prioritizr, Rsymphony (>= 0.1-31), Rcplex, slam, rlang, testthat (>= 3.0.0), raster, tmap, sp, viridis, markdown, data.table, purrr, readr, tibble, reshape2, rcbc, gurobi
LinkingTo: Rcpp, RcppArmadillo (>= 0.10.1.0.0), BH
Encoding: UTF-8
LazyData: true
License: GPL (>= 3)
Language: en-US
URL: https://josesalgr.github.io/multiscape/
BugReports: https://github.com/josesalgr/multiscape/issues
NeedsCompilation: yes
Packaged: 2026-04-23 19:10:04 UTC; Y6026159N
Author: Jose Salgado-Rojas [aut, cre] , Matias Moreno-Faguett [aut] , Nuria Aquilue [aut]
Maintainer: Jose Salgado-Rojas <jose.salgroj@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-28 18:40:08 UTC

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New package mortar with initial version 0.4.0
Package: mortar
Title: Standardize Data Science Workflows
Version: 0.4.0
Maintainer: Anthony Martinez <ajmartinez@usgs.gov>
Description: Helper functions to standardizes common workflows in the USGS Data Science Community of Practice to produce more robust, reproducible pipelines. It contains helper functions to standardize (1) the organization of project repositories and (2) the creation ofpipelines from the 'targets' R Package (Landau et al. (2026) <doi:10.5281/zenodo.18555866>), using the DS CoP best practices. We draw upon community developed best practices as well as certain USGS-specific requirements. See Shrycock et al. (2023) <doi:10.3133/tm7B2> for examples of these USGS requirements.
License: CC0
BugReports: https://github.com/DOI-USGS/mortar/issues
URL: https://doi-usgs.github.io/mortar/, https://github.com/DOI-USGS/mortar, https://code.usgs.gov/water/computational-tools/mortar
Encoding: UTF-8
Imports: cli, gert, glue, purrr, R.utils, rlang, usethis
Suggests: knitr, renv, rmarkdown, stringr, tarchetypes, targets, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-24 14:17:59 UTC; ajmartinez
Author: Joseph Zemmels [aut] , Anthony Martinez [aut, cre] , Jesse Ross [ctb]
Repository: CRAN
Date/Publication: 2026-04-28 19:00:15 UTC

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New package mlS3 with initial version 0.1.0
Package: mlS3
Title: Unified S3 Interface to Machine Learning Models
Version: 0.1.0
Maintainer: T. Moudiki <thierry.moudiki@gmail.com>
Description: Provides a unified and consistent S3 interface for training and predicting with a variety of machine learning models in R. The package wraps popular algorithms (e.g., from 'glmnet', 'lightgbm', 'ranger', 'e1071', and 'caret') under a common workflow based on simple wrap_*() and predict() functions, allowing users to switch between models without changing their code structure. It supports both classification and regression tasks and facilitates rapid experimentation, benchmarking, and comparison of models. By abstracting away package-specific APIs while preserving flexibility in parameter specification, the package streamlines machine learning workflows and promotes reproducibility.
License: GPL-3
Encoding: UTF-8
Imports: e1071, glmnet, lightgbm, ranger
Suggests: caret, knitr, randomForest, kernlab
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-04-24 10:15:03 UTC; t
Author: T. Moudiki [aut, cre]
Repository: CRAN
Date/Publication: 2026-04-28 19:00:20 UTC

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New package lsReg with initial version 1.0.0
Package: lsReg
Title: Performs Large Scale Regressions
Version: 1.0.0
Date: 2026-04-07
Maintainer: John Morrison <jmorr@usc.edu>
Description: Routines to perform large scale regression. Linear, logistic, and Poisson regressions are supported. Large scale regression efficiently fits models where a small number of covariates are changing and the subjects have complete data. A genome wide association study would be an example.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, statmod
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, methods
NeedsCompilation: yes
Packaged: 2026-04-23 21:07:15 UTC; jmorr
Author: John Morrison [aut, cre], NCI [fnd] , NCI [fnd] , NIEHS [fnd] , NHLBI [fnd]
Repository: CRAN
Date/Publication: 2026-04-28 18:40:20 UTC

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New package janusplot with initial version 0.1.0
Package: janusplot
Title: Asymmetric Smoothed-Association Matrices via GAM Fits
Version: 0.1.0
Description: Render a pairwise, asymmetric smoothed-association matrix of continuous variables. Each cell shows the fitted spline from an 'mgcv' generalised additive model, with the upper triangle displaying 'gam(x_j ~ s(x_i))' and the lower triangle 'gam(x_i ~ s(x_j))'. Unlike Pearson's correlation matrix, the visualisation is intentionally asymmetric, revealing heteroscedasticity, leverage, and directional non-linearity that a single scalar correlation hides. An asymmetry index and a 24-category shape taxonomy quantify the directional difference and qualitative form of each fitted smooth.
License: GPL (>= 3)
URL: https://github.com/max578/janusplot, https://max578.github.io/janusplot/
BugReports: https://github.com/max578/janusplot/issues
Encoding: UTF-8
Language: en-AU
Depends: R (>= 4.3.0)
Imports: mgcv (>= 1.9.0), ggplot2 (>= 3.5.0), patchwork (>= 1.1.0), grid, stats, cli (>= 3.6.0), lifecycle, rlang (>= 1.1.0)
Suggests: agridat, future, future.apply, knitr, MASS, palmerpenguins, rmarkdown, testthat (>= 3.0.0), vdiffr (>= 1.0.0), withr
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-04-23 14:06:24 UTC; a1222812
Author: Max Moldovan [aut, cre, cph]
Maintainer: Max Moldovan <max.moldovan@adelaide.edu.au>
Repository: CRAN
Date/Publication: 2026-04-28 18:30:08 UTC

More information about janusplot at CRAN
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New package cer with initial version 0.1.0
Package: cer
Title: Download and Tidy Australian Clean Energy Regulator Data
Version: 0.1.0
Description: Fetch Australian Clean Energy Regulator data on carbon credits, safeguard mechanism facilities, renewable energy certificates, and greenhouse gas reporting. Provides tidy access to the Australian Carbon Credit Unit ('ACCU') Scheme project register, Safeguard Mechanism baselines and covered emissions, Large-scale Renewable Energy Target ('LRET') power station accreditations, Small-scale Renewable Energy Scheme ('SRES') installation data, the National Greenhouse and Energy Reporting ('NGER') scheme, and Quarterly Carbon Market Reports <https://cer.gov.au/markets/reports-and-data>. Includes a post-Chubb ACCU integrity layer (Chubb 2022 Independent Review), Safeguard reform handling (declining industry baselines from July 2023), National Greenhouse and Energy Reporting scope discipline (Scope 1 / Scope 2 market vs location / Climate Active), reconciliation against the Quarterly Carbon Market Report, and reproducibility helpers (snapshot pinning, SHA-256 cache integrity, session manif [...truncated...]
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: cli (>= 3.6.0), httr2 (>= 1.0.0), readxl (>= 1.4.0), tools, utils
Suggests: digest, jsonlite, knitr, openssl, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://charlescoverdale.github.io/cer/, https://github.com/charlescoverdale/cer
BugReports: https://github.com/charlescoverdale/cer/issues
NeedsCompilation: no
Packaged: 2026-04-24 13:47:50 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-28 19:00:26 UTC

More information about cer at CRAN
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New package cABCanalysis with initial version 1.0
Package: cABCanalysis
Title: Computed ABC Analysis
Version: 1.0
Description: Identify the most relative data points by dividing a numeric data set into three classes A, B, and C, where class A items are the "import few", class C items are the "trivial many" with class B items being something in between, resembling the idea of the Pareto principle. This ABC classification is done using an ABC curve, which plots cumulative "Yield" against "Effort", similar to a Lorenz curve. Class borders are then precisely mathematically defined on that curve, aiding in interpretation. Based on: Ultsch A, Lotsch J (2015) "Computed ABC Analysis for rational Selection of most informative Variables in multivariate Data". PLoS ONE 10(6): e0129767. <doi:10.1371/journal.pone.0129767>.
Depends: R (>= 2.10.0)
Imports: ggplot2, plotrix, grDevices, graphics, stats, utils
LazyData: true
Suggests: datasets, testthat (>= 3.0.0)
License: GPL-3
URL: https://github.com/AndreHDev/cABC_Analysis
Encoding: UTF-8
Date: 2026-04-20
NeedsCompilation: no
Packaged: 2026-04-24 14:03:32 UTC; andre
Author: Jorn Lotsch [aut] , Andre Himmelspach [aut, cre]
Maintainer: Andre Himmelspach <himmelspach@med.uni-frankfurt.de>
Repository: CRAN
Date/Publication: 2026-04-28 19:00:33 UTC

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New package autotestR with initial version 1.2.15
Package: autotestR
Title: Automated Functions for Basic Statistical Tests
Version: 1.2.15
Description: Provides simple and intuitive functions for basic statistical analyses. Methods include the t-test (Student 1908 <doi:10.1093/biomet/6.1.1>), the Mann-Whitney U test (Mann and Whitney 1947 <doi:10.1214/aoms/1177730491>), Pearson's correlation (Pearson 1895 <doi:10.1098/rspl.1895.0041>), and analysis of variance (Fisher 1925, <doi:10.1007/978-1-4612-4380-9_5>). Functions are compatible with 'ggplot2' and 'dplyr'.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: car, crayon, dplyr, FSA, ggplot2, ggdist, ggExtra, nortest, purrr, RColorBrewer, scales, stats, tibble, tidyr, tidyselect, utils, vcd
NeedsCompilation: no
Maintainer: Luiz Garcia <luiz.cardoso@ufpr.br>
Packaged: 2026-04-24 01:37:19 UTC; Seu Computador
Author: Luiz Garcia [aut, cre]
Repository: CRAN
Date/Publication: 2026-04-28 18:30:16 UTC

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New package ato with initial version 0.1.0
Package: ato
Title: Download and Tidy Australian Taxation Office Data
Version: 0.1.0
Description: Fetch Australian Taxation Office ('ATO') Taxation Statistics and related datasets via the 'data.gov.au' Comprehensive Knowledge Archive Network ('CKAN') API <https://data.gov.au/data/api/3/>. Provides tidy access to individual, company, superannuation, goods and services tax ('GST'), fringe benefits tax ('FBT'), Voluntary Tax Transparency Code ('VTTC'), Pay As You Go ('PAYG') withholding, charity, excise, and Corporate Tax Transparency data, plus Division 293, Petroleum Resource Rent Tax, Medicare Levy Surcharge, fuel tax credits, compliance, and Working Holiday Maker aggregates. Includes reproducibility helpers (snapshot pinning, SHA-256 cache integrity, session manifest, optional 'Zenodo' deposit), classification crosswalks ('ANZSIC' 2006 to 2020, 'ANZSCO' 2013 to 2021), panel harmonisation, reconciliation against Final Budget Outcome totals, and real-terms and per-capita helpers backed by bundled Australian Bureau of Statistics ('ABS') Consumer Price Index and Estimated Reside [...truncated...]
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 (>= 1.4.0), tools, utils
Suggests: digest, knitr, openssl, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://charlescoverdale.github.io/ato/, https://github.com/charlescoverdale/ato
BugReports: https://github.com/charlescoverdale/ato/issues
NeedsCompilation: no
Packaged: 2026-04-24 13:43:04 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-28 18:50:19 UTC

More information about ato at CRAN
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New package apca with initial version 1.0.0
Package: apca
Title: Advanced Principal Component Analysis
Version: 1.0.0
Date: 2026-04-19
Description: Provides nine computational algorithms for dimensionality reduction via Principal Component Analysis (PCA), built using an object-oriented (S3) architecture. The package includes classical and modern methods: Singular Value Decomposition (SVD) based on Eckart and Young (1936) <doi:10.1007/BF02288367>, Power Iteration based on Hotelling (1933) <doi:10.1037/h0071325>, QR Algorithm based on Francis (1961) <doi:10.1093/comjnl/4.3.265>, Jacobi Algorithm based on Jacobi (1846) <doi:10.1515/crll.1846.30.51>, Arnoldi Iteration based on Arnoldi (1951) <doi:10.1090/qam/42792>, 'NIPALS' based on Wold (1975) <doi:10.1017/S0021900200047604>, Alternating Least Squares (ALS) based on Kolda and Bader (2009) <doi:10.1137/07070111X>, Probabilistic PCA (PPCA) with EM Algorithm based on Tipping and Bishop (1999) <doi:10.1111/1467-9868.00196>, and Generalized Hebbian Algorithm (GHA) based on Sanger (1989) <doi:10.1016/0893-6080(89)90044-0>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: stats
NeedsCompilation: no
Packaged: 2026-04-24 12:56:22 UTC; A0812
Author: Angga Dwi Mulyanto [aut, cre] , Bambang Widjanarko Otok [aut] , Jerry Dwi Trijoyo Purnomo [aut]
Maintainer: Angga Dwi Mulyanto <angga.dwi.m@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-28 18:40:24 UTC

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New package abba with initial version 0.2.0
Package: abba
Title: Batch Execution of R Programs on 'Kubernetes', 'SLURM', and 'Posit Workbench'
Version: 0.2.0
Description: Submit and monitor batch execution of R programs across distributed computing backends including 'Kubernetes', 'SLURM', and 'Posit Workbench'. Provides end-user job submission functions, cluster interface functions using 'kubectl' and 'SLURM' commands, and a 'plumber' API template for secure identity segregation. Supports parallel and sequential batch execution, file-based caching to skip unchanged programs, and 'logrx' integration for execution logging.
License: Apache License (>= 2)
URL: https://atorus-research.github.io/abba/, https://github.com/atorus-research/abba
BugReports: https://github.com/atorus-research/abba/issues
Encoding: UTF-8
Imports: yaml, uuid, stringr, httr2, magrittr, tools, rstudioapi, digest, tidyr
Suggests: testthat (>= 3.0.0), mockery, knitr, rmarkdown, logrx
VignetteBuilder: knitr
SystemRequirements: kubectl (optional, for Kubernetes backend), SLURM (optional, sbatch/scontrol/sacct/squeue for SLURM backend), Posit Workbench (optional, for Workbench backend)
NeedsCompilation: no
Packaged: 2026-04-23 14:18:31 UTC; mstackhouse
Author: Eli Miller [aut] , Mike Stackhouse [aut, cre] , Ross Didenko [aut], Yevhenii Boiko [aut], Atorus Research, Inc. [cph]
Maintainer: Mike Stackhouse <mike.stackhouse@atorusresearch.com>
Repository: CRAN
Date/Publication: 2026-04-28 18:10:14 UTC

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Mon, 27 Apr 2026

New package routing with initial version 1.0.0
Package: routing
Title: 'Express.js' Like Routing for R Web Frameworks
Version: 1.0.0
Description: It aims to provide R web frameworks a routing mechanism of HTTP requests inspired by the battle tested 'Express.js' web framework.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httpcode, pater, promises, R6, utils
Suggests: curl, httpuv, later, testthat (>= 3.0.0), yyjsonr
URL: https://github.com/JulioCollazos64/routing
BugReports: https://github.com/JulioCollazos64/routing/issues
NeedsCompilation: no
Packaged: 2026-04-23 12:25:15 UTC; julio
Author: Julio Collazos [aut, cre] , router contributors [ctb, cph]
Maintainer: Julio Collazos <amarullazo626@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-27 14:30:03 UTC

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New package mqriskR with initial version 0.1.0
Package: mqriskR
Title: Actuarial Risk Modeling and Life Contingencies
Version: 0.1.0
Description: Provides functions for actuarial risk modeling, including survival models, life annuities, multiple-decrement models, and mortality improvement projections. The package is designed to align with standard actuarial notation and supports teaching, exam preparation, and reproducible actuarial analysis. The methods are based on standard actuarial references including Camilli, Duncan and London (2014, ISBN:9781625423474) "Models for Quantifying Risk" and Dickson, Hardy and Waters (2020, ISBN:9781108478083) "Actuarial Mathematics for Life Contingent Risks".
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: ggplot2, testthat (>= 3.0.0), expm, knitr, rmarkdown
Imports: stats, utils
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-23 12:22:07 UTC; okinean
Author: Nii Okine [aut, cre]
Maintainer: Nii Okine <okinean@appstate.edu>
Repository: CRAN
Date/Publication: 2026-04-27 14:40:02 UTC

More information about mqriskR at CRAN
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New package keylist with initial version 1.0.0
Package: keylist
Title: Lightweight List Extensions that Enforce Unique Keys
Version: 1.0.0
Description: Provides two lightweight keylist S3 classes 'klist' and 'knlist': extensions of list that enforce unique keys, supporting either mixed named/unnamed elements or fully named elements, ensuring predictable key-value access.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
URL: https://lj-jenkins.github.io/keylist/, https://github.com/LJ-Jenkins/keylist
BugReports: https://github.com/LJ-Jenkins/keylist/issues
NeedsCompilation: yes
Packaged: 2026-04-23 10:06:53 UTC; lukej
Author: Luke Jenkins [aut, cre, cph]
Maintainer: Luke Jenkins <luke-jenkins-dev@outlook.com>
Repository: CRAN
Date/Publication: 2026-04-27 14:20:02 UTC

More information about keylist at CRAN
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New package FrailtyCompRisk with initial version 0.1.1
Package: FrailtyCompRisk
Title: Competing Risks Models for Multi-Center Survival Data with Frailty
Version: 0.1.1
Description: Implements methods for analyzing competing risks data in multi-center survival studies using frailty models. The approach relies on a mixed proportional hazards model for the sub-distribution, allowing for cluster-specific random effects. The package provides tools for model estimation with or without frailty using Maximum Likelihood (ML) and Restricted Maximum Likelihood (REML). It supports flexible modeling of between-center heterogeneity and is particularly suited for multi-center clinical trials or registries. Core features include data simulation, likelihood computation, cluster-dependent censoring options, and testing of frailty effects. For methodological details, see Katsahian et al. (2006) <doi:10.1002/sim.2684>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Matrix, stats
Suggests: dplyr, tibble, kableExtra, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/TeamHeKA/FrailtyCompRisk
BugReports: https://github.com/TeamHeKA/FrailtyCompRisk/issues
NeedsCompilation: no
Packaged: 2026-04-23 10:32:04 UTC; utilisateur
Author: Benjamin Delmas [aut], Lucas Ducrot [aut, cre] , Sandrine Katsahian [aut] , Inria [cph]
Maintainer: Lucas Ducrot <lucas.ducrot@inria.fr>
Repository: CRAN
Date/Publication: 2026-04-27 14:20:09 UTC

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New package documentosbr with initial version 0.1.8
Package: documentosbr
Title: Validate Brazilian Administrative Registers - Valida Documentos
Version: 0.1.8
Maintainer: Rodrigo Borges <rodrigo.borges@ipea.gov.br>
Description: Contains functions to validate administrative register as CPF (Cadastro de Pessoa Fisica), CNPJ (Cadastro de Pessoa Juridica), PIS (Programa de Integracao Social), CNES (Cadastro Nacional de Saude). Builds from and improves on previous package from IPEA validaRA <https://github.com/ipea/validaRA>. It can check individual registers or help creating a table summarizing validity of a set.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/ipea/documentosbr
BugReports: https://github.com/ipea/documentosbr/issues
Suggests: testthat, knitr, covr, rmarkdown
Depends: R (>= 3.0)
LinkingTo: Rcpp, BH
Imports: Rcpp, bit64, stringr, data.table
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-03-31 22:04:20 UTC; borges
Author: Gustavo Coelho [aut], Lucas Mation [aut] , Rodrigo Borges [ctb, cre] , Ipea - Institue for Applied Economic Research [cph, fnd]
Repository: CRAN
Date/Publication: 2026-04-27 14:30:09 UTC

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Fri, 24 Apr 2026

New package vivaglint with initial version 0.1.1
Package: vivaglint
Title: Analysis Tools for 'Viva Glint' Survey Data
Version: 0.1.1
Description: Provides functions for importing, validating, and analyzing 'Viva Glint' survey data exports, with optional API-based import via the 'Microsoft Graph' API. Includes tools for data reshaping, question-level analysis, multi-cycle comparisons, organizational hierarchy analysis, factor analysis, and correlation analysis. Harman (1960, ISBN: 0226316513); Husser (2017) <doi:10.1002/9781118901731.iecrm0048>.
License: MIT + file LICENSE
URL: https://github.com/microsoft/vivaglint
BugReports: https://github.com/microsoft/vivaglint/issues
Encoding: UTF-8
Imports: dplyr (>= 1.0.0), tidyr (>= 1.0.0), readr (>= 2.0.0), stringr (>= 1.4.0), lubridate (>= 1.7.0), purrr (>= 0.3.0), rlang (>= 0.4.0), httr (>= 1.4.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, psych (>= 2.0.0), ggplot2 (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-22 21:30:09 UTC; ericknudsen
Author: Eric Knudsen [aut, cre], Microsoft Corporation [cph]
Maintainer: Eric Knudsen <ericknudsen@microsoft.com>
Repository: CRAN
Date/Publication: 2026-04-24 20:20:02 UTC

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New package PSor with initial version 0.1.0
Package: PSor
Title: Semiparametric Principal Stratification Analysis Beyond Monotonicity
Version: 0.1.0
Description: Estimates principal causal effects under principal stratification using a margin-free, conditional odds ratio sensitivity parameter. This framework unifies the monotonicity assumption and the counterfactual intermediate independence assumption, allowing for robust analysis when monotonicity may not hold. Computes point estimates, standard errors, and confidence intervals for conditionally doubly robust and debiased machine learning estimators. The methodological details are described in Tong, Kahan, Harhay, and Li (2025) <doi:10.48550/arXiv.2501.17514>.
License: MIT + file LICENSE
URL: https://github.com/deckardt98/PSor
BugReports: https://github.com/deckardt98/PSor/issues
Encoding: UTF-8
Language: en-US
Imports: stats, SuperLearner, caret, dplyr, geex, magrittr, numDeriv
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-04-22 21:38:37 UTC; deckard
Author: Jiaqi Tong [aut, cre] , Brennan Kahan [ctb], Michael O. Harhay [ctb], Fan Li [ctb]
Maintainer: Jiaqi Tong <jiaqi.tong@yale.edu>
Repository: CRAN
Date/Publication: 2026-04-24 20:20:21 UTC

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New package palettephines with initial version 0.1.3
Package: palettephines
Title: Analytical Color Palettes for Philippine Phenology
Version: 0.1.3
Description: Provides specialized color palettes representing phenological transitions and biological lifecycles within Philippine landscapes. Rather than abstract gradients, these scales are anchored to topologically grounded states such as agricultural maturity, seasonal vegetation shifts, and environmental readiness. Palettes are indexed against the Biologische Bundesanstalt, Bundessortenamt und CHemische Industrie (BBCH) scale (Meier, 2023) <https://www.openagrar.de/servlets/MCRFileNodeServlet/openagrar_derivate_00010428/BBCH-Skala_en.pdf> for terrestrial vegetation and the Reef Health Index (RHI) framework (McField and Kramer, 2007) <https://www.healthyreefs.org> for marine ecosystems. This ensures scientific interoperability across archipelagic spatial models, aligning with global standards for ecological state-transition modeling (Schwartz, 2013) <doi:10.1007/978-94-007-6925-0>.
License: MIT + file LICENSE
URL: https://github.com/pinasr/palettephines
BugReports: https://github.com/pinasr/palettephines/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2, graphics, grDevices
Suggests: knitr, rmarkdown, sf, dplyr, sfdep, tidyr, roroph, rnaturalearth, rnaturalearthdata
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-23 04:52:59 UTC; Nino Jay Talingting
Author: NJ Talingting [aut, cre]
Maintainer: NJ Talingting <ninotalingting77@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-24 20:30:02 UTC

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New package modelscompete4 with initial version 0.2.6
Package: modelscompete4
Title: Compare Nested and Non-Nested Structural Equation Models
Version: 0.2.6
Date: 2026-04-23
Description: A comprehensive package for comparing multiple Structural Equation Models (SEM). Supports both nested and non-nested model comparisons, chi-square difference tests, and extraction of multiple fit indices including AIC (Akaike Information Criterion), BIC (Bayesian Information Criterion), CFI (Comparative Fit Index), TLI (Tucker-Lewis Index), RMSEA (Root Mean Square Error of Approximation), and SRMR (Standardized Root Mean Square Residual). Built on top of the 'lavaan' package for seamless SEM model comparison workflows. The Vuong test (Vuong, 1989) for non-nested models is used as the statistical test.
License: GPL (>= 3)
Encoding: UTF-8
Imports: lavaan (>= 0.6), stats, boot, ggplot2, nonnest2, tidyr
Suggests: testthat (>= 3.0.0)
URL: https://github.com/ssjerf-stack/modelscompete4
BugReports: https://github.com/ssjerf-stack/modelscompete4/issues
NeedsCompilation: no
Packaged: 2026-04-22 18:45:29 UTC; jerf
Author: Jerf Yeung [aut, cre]
Maintainer: Jerf Yeung <ssjerf@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-24 20:10:02 UTC

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New package lfebd3 with initial version 0.1.0
Package: lfebd3
Title: Generation and Analysis of Confounded and Fractional Factorial Block Designs
Version: 0.1.0
Maintainer: Sukanta Dash <sukanta.iasri@gmail.com>
Description: Provides tools to generate and analyze 3-level linear factorial block designs, including complete factorial layouts, fractional factorial layouts, confounded factorial layouts, and design-characteristic summaries. The package includes utilities for recursive ternary construction, defining-contrast identification, alias/confounding summaries, incidence matrix construction, and design optimality diagnostics.The methodological framework follows foundational work on Gupta (1983) <doi:10.1111/j.2517-6161.1983.tb01253.x>. These methods assist in selecting, comparing, and studying factorial and fractional factorial block designs for large experimental situations.
License: GPL-3
Encoding: UTF-8
Imports: MASS, Matrix, stats, utils
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-04-23 05:19:20 UTC; Sukanta
Author: Vankudoth Kumar [aut], Sukanta Dash [aut, cre], Med Ram Verma [aut]
Repository: CRAN
Date/Publication: 2026-04-24 20:30:06 UTC

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New package KRONX with initial version 0.1.0
Package: KRONX
Title: Clock of Regimes for Regime-Switching Fragility Analysis
Version: 0.1.0
Date: 2026-04-22
Description: Implements the Clock of Regimes (KRONX) framework for regime-switching fragility analysis of financial time series. The package fits Gaussian and Student-t Hidden Markov Models (HMMs) to return data, constructs a hazard-adjusted transition operator Q, derives the associated generator K = Q - I, and computes the fundamental matrix N = -K inverse to characterize expected residence times under structural fragility.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: utils
NeedsCompilation: no
Packaged: 2026-04-22 21:02:59 UTC; olinaresmd
Author: Oscar Linares [aut, cre]
Maintainer: Oscar Linares <olinares@umich.edu>
Repository: CRAN
Date/Publication: 2026-04-24 20:20:27 UTC

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New package GBASS with initial version 2.0.1
Package: GBASS
Title: Generalized Bayesian Adaptive Smoothing Splines
Version: 2.0.1
Description: Bayesian nonlinear regression under a range of likelihood models using generalized Bayesian adaptive smoothing splines. Robust regression with Student's t likelihoods, quantile regression, and related latent-scale models are included as special cases.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Matrix, GIGrvg, BASS
Suggests: knitr, rmarkdown, lhs, testthat (>= 2.1.0)
NeedsCompilation: no
Packaged: 2026-04-22 17:02:42 UTC; knrumsey
Author: Kellin Rumsey [aut, cre]
Maintainer: Kellin Rumsey <knrumsey@lanl.gov>
Repository: CRAN
Date/Publication: 2026-04-24 20:10:16 UTC

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New package duckh3 with initial version 0.1.0
Package: duckh3
Title: H3 Extension of 'DuckDB'
Version: 0.1.0
Description: Fast & memory-efficient functions to analyze and manipulate large data sets. It leverages the fast analytical capabilities of 'DuckDB' and its spatial extension (see <https://duckdb.org/community_extensions/extensions/h3>) while maintaining compatibility with R’s spatial data ecosystem to work with spatial vector data.
URL: https://cidree.github.io/duckh3/, https://github.com/Cidree/duckh3
BugReports: https://github.com/Cidree/duckh3/issues
Encoding: UTF-8
License: GPL (>= 3)
Imports: cli, DBI, dbplyr, dplyr, duckdb, duckspatial (>= 1.0.0), glue
Suggests: sf, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-04-22 18:10:08 UTC; Cidre
Author: Adrian Cidre Gonzalez [aut, cre] , Egor Kotov [aut] , Rafael H. M. Pereira [aut]
Maintainer: Adrian Cidre Gonzalez <adrian.cidre@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-04-24 20:10:10 UTC

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New package cooccure with initial version 0.1.1
Package: cooccure
Title: Co-Occurrence Network Construction and Manipulation
Version: 0.1.1
Description: Constructs co-occurrence networks from several types of input data, such as delimited fields, long/bipartite tables, binary matrices, or wide sequences. Returns tidy edge data frames and supports optional scaling, splitting into several networks, thresholding, and subsetting. Provides eight similarity measures, including Jaccard, cosine, and association strength. Supports export to several network and file formats. Network construction and analysis methods follow Saqr, Lopez-Pernas, Conde, and Hernandez-Garcia (2024, <doi:10.1007/978-3-031-54464-4_15>).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Imports: graphics, Matrix, methods, stats, utils
Suggests: igraph, cograph, Nestimate, tidygraph, testthat (>= 3.0.0), knitr, rmarkdown, shiny, DT
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
URL: https://github.com/mohsaqr/cooccure
BugReports: https://github.com/mohsaqr/cooccure/issues
NeedsCompilation: no
Packaged: 2026-04-22 20:37:56 UTC; mohammedsaqr
Author: Mohammed Saqr [aut, cre, cph], Sonsoles Lopez-Pernas [aut, cph], Kamila Misiejuk [aut, cph]
Maintainer: Mohammed Saqr <saqr@saqr.me>
Repository: CRAN
Date/Publication: 2026-04-24 20:20:10 UTC

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New package BRRAT with initial version 0.0.2
Package: BRRAT
Title: Bayesian Regression Robustness Assessment Test
Version: 0.0.2
URL: https://github.com/csiro/hydro_BRRAT_Package
BugReports: https://github.com/csiro/hydro_BRRAT_Package/issues
Description: Tests for a linear relationship in the log ratio between an observed and simulated series and an independent variable. Typically this the error in modelled streamflow at an annual time scale, and a rainfall input. The approach allows for multiple sites as random factors and for multiple replicates of the simulated values. The approach is outlined in Gibbs et al. (2026) in review.
License: GPL (>= 3)
Encoding: UTF-8
Biarch: true
Depends: R (>= 4.1.0)
Imports: methods, Rcpp (>= 1.1.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.5.0), MASS, ggplot2, dplyr
Suggests: covr, testthat (>= 3.0.0)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 1.1.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2026-04-23 04:45:59 UTC; gib417
Author: Matt Gibbs [aut, cre]
Maintainer: Matt Gibbs <matt.gibbs@csiro.au>
Repository: CRAN
Date/Publication: 2026-04-24 20:30:11 UTC

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New package toolero with initial version 0.2.0
Package: toolero
Title: A Toolkit for Research Workflows
Version: 0.2.0
Description: Provides utility functions to help researchers implement best practices for their coding projects. Includes tools for reading and cleaning data files, initializing R projects with a standard folder structure, creating Quarto documents from a reproducible template, detecting the execution context across interactive, Quarto, and script-based workflows, and splitting data frames into group-level output files.
License: MIT + file LICENSE
Depends: R (>= 4.2.0)
Encoding: UTF-8
Language: en-US
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0), withr
Imports: cli, fs, glue, janitor, purrr, readr, renv, tibble, usethis, yaml
URL: https://github.com/erwinlares/toolero, https://erwinlares.github.io/toolero/
BugReports: https://github.com/erwinlares/toolero/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-22 16:56:38 UTC; lares
Author: Erwin Lares [aut, cre]
Maintainer: Erwin Lares <erwin.lares@wisc.edu>
Repository: CRAN
Date/Publication: 2026-04-24 18:40:02 UTC

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New package surviv with initial version 0.1.3
Package: surviv
Title: Flexible Instrumental Variable Methods for Survival Analysis
Version: 0.1.3
Description: Instrumental variable analysis methods for causal inference on survival data based on the Cox model allowing for various treatment and effect types, including orthogonality method-of-moments instrumental variable estimation for the Cox model, two-stage residual inclusion Cox estimation with frailty, sequential trial emulation, sequential Cox analyses, and sequential two-stage residual inclusion Cox analyses. Methodological background includes MacKenzie et al. (2014) <doi:10.1007/s10742-014-0117-x>, Martinez-Camblor et al. (2019) <doi:10.1093/biostatistics/kxx062>, Martinez-Camblor et al. (2019) <doi:10.1111/rssc.12341>, Gran et al. (2010) <doi:10.1002/sim.4048>, and Keogh et al. (2023) <doi:10.1002/sim.9718>.
License: MIT + file LICENSE
Depends: R (>= 2.10)
Imports: MASS, survival (>= 3.4-0), rootSolve
Encoding: UTF-8
LazyData: true
URL: https://github.com/tonyhbc/surviv
BugReports: https://github.com/tonyhbc/surviv/issues
NeedsCompilation: no
Packaged: 2026-04-22 16:52:05 UTC; tonyhchen
Author: Haobin Chen [aut, cre], James O'Malley [aut], Pablo Martinez-Camblor [aut], Todd MacKenzie [aut]
Maintainer: Haobin Chen <tony.haobin.chen@alumni.emory.edu>
Repository: CRAN
Date/Publication: 2026-04-24 18:30:02 UTC

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New package Rtinycc with initial version 0.1.8
Package: Rtinycc
Title: Builds the 'TinyCC' Command-Line Interface and Library for 'C' Scripting in 'R'
Version: 0.1.8
Description: Builds the 'TinyCC' (Tiny 'C' Compiler) command-line interface and library for package use in 'R'. The package compiles 'TinyCC' from source and provides R functions to interact with the compiler. 'TinyCC' can be used for header preprocessing, just-in-time compilation of 'C' code in 'R', and lightweight 'C' scripting workflows.
License: GPL (>= 3)
Copyright: See inst/LICENSE.note for bundled TinyCC copyright and licensing details.
Depends: R (>= 4.4.0)
Imports: lambda.r
Suggests: bench, callme, knitr, rmarkdown, tinytest, treesitter.c (>= 0.0.4)
VignetteBuilder: knitr
SystemRequirements: GNU make
Encoding: UTF-8
URL: https://github.com/sounkou-bioinfo/Rtinycc, https://sounkou-bioinfo.github.io/Rtinycc/
BugReports: https://github.com/sounkou-bioinfo/Rtinycc/issues
NeedsCompilation: yes
Packaged: 2026-04-22 17:06:01 UTC; sounkoutoure
Author: Sounkou Mahamane Toure [aut, cre], Mike Cheng [cph] , Fabrice Bellard and tinycc Authors [ctb] authors and COPYRIGHT holders)
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-24 18:40:13 UTC

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New package qkiosk with initial version 0.2.31
Package: qkiosk
Title: 'QUANTkiosk' API Client
Version: 0.2.31
Imports: curl, jsonlite, stringdist, zoo
Depends: xts
Suggests: fansi
LazyData: yes
Date: 2026-04-22
Maintainer: Jeffrey A. Ryan <jeff@quantkiosk.com>
Description: Provide access to 'QUANTkiosk' platform of regulatory and corporate data relevant to financial markets including point-in-time fundamentals, ownership and symbology.
License: GPL-3
URL: https://quantkiosk.com/, https://github.com/quantkiosk/qkiosk-r
BugReports: https://github.com/quantkiosk/qkiosk-r/issues
NeedsCompilation: no
Packaged: 2026-04-22 15:45:49 UTC; jeffreyryan
Author: Jeffrey A. Ryan [aut, cre]
Repository: CRAN
Date/Publication: 2026-04-24 18:20:02 UTC

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New package ordinalGOF with initial version 0.1.0
Package: ordinalGOF
Title: Goodness-of-Fit Tests for Ordinal Regression Models
Version: 0.1.0
Description: Provides goodness-of-fit tests for ordinal regression models, including the Fagerland-Hosmer ordinal test, reproducing same output as 'Stata'. Supports polr(), vglm(), and binary glm() models. See Fagerland and Hosmer (2013) <doi:10.1002/sim.5645> and Fagerland and Hosmer (2017) <doi:10.1177/1536867X1701700308> for details.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, magrittr, MASS, VGAM
Suggests: spelling
Language: en-US
URL: https://github.com/Funto-Aladekomo/ordinalGOF
BugReports: https://github.com/Funto-Aladekomo/ordinalGOF/issues
NeedsCompilation: no
Packaged: 2026-04-22 16:46:57 UTC; oluwafuntoaladekomo
Author: Oluwafunto Aladekomo [aut, cre], Evan Kwiatkowski [aut]
Maintainer: Oluwafunto Aladekomo <oluwafunto.a.aladekomo@uth.tmc.edu>
Repository: CRAN
Date/Publication: 2026-04-24 18:30:08 UTC

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New package npfseir with initial version 0.2.1
Package: npfseir
Title: Nested Particle Filter for Stochastic SEIR Epidemic Models
Version: 0.2.1
Date: 2026-04-22
Description: Implements the online Bayesian inference framework for joint state and parameter estimation in a stochastic Susceptible-Exposed-Infectious-Recovered (SEIR) epidemic model with a time-varying transmission rate. The log-transmission rate is modelled as a latent Ornstein-Uhlenbeck (OU) process with exact Gaussian discrete-time transitions. Inference is performed via the nested particle filter (NPF) of Crisan and Miguez (2018) <doi:10.3150/17-BEJ954>, which maintains an outer particle layer over the OU hyperparameters and, for each outer particle, an inner bootstrap filter over epidemic states. The Cori-style renewal-equation estimator follows Cori et al. (2013) <doi:10.1093/aje/kwt133>. The package also provides utilities for simulation, posterior summarisation, and forecasting.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, graphics, grDevices
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-22 15:30:05 UTC; weinanwang
Author: Weinan Wang [aut, cre]
Maintainer: Weinan Wang <ww@ou.edu>
Repository: CRAN
Date/Publication: 2026-04-24 18:40:07 UTC

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New package hotpatchR with initial version 0.1.0
Package: hotpatchR
Title: Runtime Namespace Patching Utilities for R Packages
Version: 0.1.0
Author: David Munoz Tord [aut, cre]
Maintainer: David Munoz Tord <david.munoztord@mailbox.org>
Description: Provides utilities for runtime hotpatching of locked R package namespaces. The package enables dynamic injection of function patches into sealed package environments without rebuilding or redeploying the package. This is particularly useful for legacy containerized workflows where package versions are frozen in place. The core functionality includes inject_patch() to inject patches into package namespaces, undo_patch() to restore original functions, apply_hotfix_file() to apply patches from external R scripts, and test_patched_dir() to run test suites against patched packages. The package implements namespace surgery techniques that allow internal callers to automatically see patched functions.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: testthat (>= 3.0.0)
Suggests: knitr, rmarkdown, pkgdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-22 15:56:17 UTC; david
Repository: CRAN
Date/Publication: 2026-04-24 18:20:07 UTC

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New package eppoFindeR with initial version 2.0.0
Package: eppoFindeR
Title: Interface to the EPPO Database and Public APIs
Version: 2.0.0
Maintainer: Luca Belmonte <luca.belmonte@efsa.europa.eu>
Description: Provides an interface to the public APIs of the European and Mediterranean Plant Protection Organization (EPPO) database. It enables users to retrieve EPPO data by accessing specific services and datasets. The package also includes utilities for data wrangling, including the integration of taxonomy with rank information. See <https://data.eppo.int/apis/> for more details.
License: EUPL-1.2
URL: https://openefsa.github.io/eppoFindeR/
BugReports: https://github.com/openefsa/eppoFindeR/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.5), httr2 (>= 1.2.1), jsonlite (>= 1.8.8), dplyr (>= 1.1.4), glue (>= 1.7.0), purrr (>= 1.0.2), checkmate (>= 2.3.1), tibble(>= 3.3.0)
Suggests: devtools (>= 2.4.5), roxygen2 (>= 7.3.1), testthat (>= 3.2.1), usethis (>= 2.2.3), knitr (>= 1.0), rmarkdown (>= 2.0), covr (>= 3.6.4)
Encoding: UTF-8
VignetteBuilder: knitr
Repository: CRAN
NeedsCompilation: no
Packaged: 2026-04-22 08:06:59 UTC; copello
Author: Lorenzo Copelli [aut] , Dayana Stephanie Buzle [aut] , Rafael Vieira [aut] , Agata Kaczmarek [aut] , Luca Belmonte [aut, cre]
Date/Publication: 2026-04-24 18:10:02 UTC

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New package antedep with initial version 0.1.0
Package: antedep
Title: Antedependence Models for Longitudinal Data
Version: 0.1.0
Author: Chenyang Li [aut, cre], Dale Zimmerman [aut, ctb]
Maintainer: Chenyang Li <chenyang-li@uiowa.edu>
Description: Fitting, simulation, and inference for antedependence models for longitudinal data, as described in Zimmerman and Nunez-Anton (2009, ISBN:9781420011074). Supports integer-valued antedependence (INAD) models for count data with thinning operators (binomial, Poisson, negative binomial) and flexible innovation distributions (Poisson, Bell, negative binomial), categorical antedependence models for discrete-state longitudinal outcomes, and Gaussian antedependence (AD) models for continuous data. Implements maximum likelihood estimation via time-separable optimization and block coordinate descent, with confidence intervals based on Louis' identity and profile likelihood.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://tanchyking.github.io/antedep/, https://github.com/TanchyKing/antedep
BugReports: https://github.com/TanchyKing/antedep/issues
Imports: nloptr (>= 1.2.0), stats, ggplot2, MASS
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-22 16:01:40 UTC; Tanch
Repository: CRAN
Date/Publication: 2026-04-24 18:30:13 UTC

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Thu, 23 Apr 2026

New package survalis with initial version 0.7.1
Package: survalis
Title: Interpretable Survival Machine Learning Framework
Version: 0.7.1
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>
Description: A modular toolkit for interpretable survival machine learning with a unified interface for fitting, prediction, evaluation, and interpretation. It includes semiparametric, parametric, tree-based, ensemble, boosting, kernel, and deep-learning survival learners, together with benchmarking, scoring, calibration, and model-agnostic interpretation utilities. Representative methodological anchors include Cox (1972) <doi:10.1111/j.2517-6161.1972.tb00899.x>, Royston and Parmar (2002) <doi:10.1002/sim.1203>, Ishwaran et al. (2008) <doi:10.1214/08-AOAS169>, Jaeger et al. (2019) <doi:10.1214/19-AOAS1261>, Harrell et al. (1982) <doi:10.1001/jama.1982.03320430047030>, Graf et al. (1999) <doi:10.1002/(SICI)1097-0258(19990915/30)18:17/18%3C2529::AID-SIM274%3E3.0.CO;2-5>, Friedman (2001) <doi:10.1214/aos/1013203451>, Apley and Zhu (2020) <doi:10.1111/rssb.12377>, and Lundberg and Lee (2017) <https://papers.nips.cc/paper/7062-a-unified-approach-to-inte [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/ielbadisy/survalis
BugReports: https://github.com/ielbadisy/survalis/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: survival, ggplot2, functionals, nnls, rpart, tibble, rsample, aftgee, aorsf, bnnSurvival, pec, party, ranger, survdnn, survivalsvm, randomForestSRC, xgboost, BART, flexsurv, glmnet, mboost, rstpm2, timereg, partykit, gower, pracma, torch, data.table, dplyr, glue, cli, purrr, rlang, tidyr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, roxygen2, covr, stats, utils
NeedsCompilation: no
Packaged: 2026-04-22 14:58:58 UTC; imad-el-badisy
Repository: CRAN
Date/Publication: 2026-04-23 20:20:02 UTC

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New package khaos with initial version 2.1.1
Package: khaos
Title: Bayesian Sparse Polynomial Chaos Expansion
Version: 2.1.1
Description: Implements Bayesian polynomial chaos expansion methods for surrogate modeling, uncertainty quantification, and sensitivity analysis. Includes sparse regression-based approaches and adaptive Bayesian models based on reversible-jump Markov chain Monte Carlo. Optional screening and basis-enrichment strategies are provided to improve scalability in moderate to high dimensions.
Imports: glmnet, mvtnorm
Suggests: knitr, rmarkdown, lhs, testthat (>= 2.1.0)
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-22 15:22:43 UTC; knrumsey
Author: Kellin Rumsey [aut, cre] , J. Derek Tucker [ctb]
Maintainer: Kellin Rumsey <knrumsey@lanl.gov>
Repository: CRAN
Date/Publication: 2026-04-23 20:30:03 UTC

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New package InfluenceBorrowing with initial version 0.1.0
Package: InfluenceBorrowing
Title: Adaptive Influence-Based Borrowing for Hybrid Control Trials
Version: 0.1.0
Description: Implements the adaptive influence-based borrowing framework proposed by Qinwei Yang, Jingyi Li, Peng Wu, and Shu Yang (2026+) in the paper ``Improving Treatment Effect Estimation in Trials through Adaptive Borrowing of External Controls" <doi:10.48550/arXiv.2604.13973> for augmenting Randomized Controlled Trials (RCTs) with External Control (EC) data. This package provides a comprehensive workflow to: (1) quantify the comparability of external control samples using influence scores approximated via the influence function of the M-estimator; (2) construct candidate borrowing subsets and select the optimal subset that minimizes the Mean Squared Error (MSE); and (3) calibrate systematic differences in external outcomes using R-learner methods implemented via Ordinary Least Squares or Kernel Ridge Regression.
License: GPL-3
Encoding: UTF-8
Imports: KRLS, stats
NeedsCompilation: no
Packaged: 2026-04-22 15:07:59 UTC; 14425
Author: Jile Chaoge [aut, cre], Peng Wu [aut], Shu Yang [aut]
Maintainer: Jile Chaoge <chogjill@126.com>
Repository: CRAN
Date/Publication: 2026-04-23 20:20:13 UTC

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New package fdclassify with initial version 0.1.0
Package: fdclassify
Title: Supervised Classification for Functional Data via Signed Depth
Version: 0.1.0
Description: Provides a suite of supervised classifiers for functional data based on the concept of signed depth. The core pipeline computes Fraiman-Muniz (FM) functional depth in either its Tukey or Simplicial variant, derives a signed depth by comparing each curve to a reference median curve via the signed distance integral, and feeds the resulting scalar summary into several classifiers: the k-Ranked Nearest Neighbour (k-RNN) rule, a moving-average smoother, a kernel-density Bayes rule, logistic regression on signed depth and distance to the mode, and a generalised additive model (GAM) classifier. Cross-validation routines for tuning the neighbourhood size k and parametric bootstrap confidence intervals are also included.
License: GPL-3
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: stats, graphics, mgcv, modeest
Suggests: testthat (>= 3.0.0), spelling, knitr, rmarkdown
URL: https://github.com/dapr12/fdclassify
BugReports: https://github.com/dapr12/fdclassify/issues
NeedsCompilation: no
Packaged: 2026-04-22 14:53:05 UTC; mbbxkdp3
Author: Diego Andres Perez Ruiz [aut, cre] , Peter Foster [ths]
Maintainer: Diego Andres Perez Ruiz <diego.perezruiz@manchester.ac.uk>
Repository: CRAN
Date/Publication: 2026-04-23 20:10:03 UTC

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New package DownBallotR with initial version 0.1.0
Package: DownBallotR
Title: Access Federal, State, and Local Election Data
Version: 0.1.0
Description: Provides an 'R' interface for downloading and standardizing election data to support research workflows. Election results are published by states through heterogeneous and often dynamic web interfaces that are not consistently accessible through existing 'R' packages or APIs. To address this, the package wraps state-specific 'Python' web scrapers through the 'reticulate' package, enabling access to dynamic content while exposing consistent 'R' functions for querying election availability and results across jurisdictions. The package is intended for responsible use and relies on publicly accessible election result pages.
License: Apache License (>= 2.0)
URL: https://gchickering21.github.io/DownBallotR/, https://github.com/gchickering21/DownBallotR
BugReports: https://github.com/gchickering21/DownBallotR/issues
Encoding: UTF-8
Language: en-US
SystemRequirements: Python (>= 3.10), pip
Depends: R (>= 4.1.0)
Imports: purrr, reticulate, rlang
Suggests: knitr, dplyr, pak, remotes, rmarkdown, testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-04-22 15:39:09 UTC; grahamchickering
Author: Graham Chickering [aut, cre], Chris Warshaw [ctb]
Maintainer: Graham Chickering <grahamchickering@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-23 20:30:07 UTC

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New package babebi with initial version 0.1.0
Package: babebi
Title: Bayesian Estimation and Validation for Small-N Designs with Rater Bias
Version: 0.1.0
Description: Approximate Bayesian inference and Monte Carlo validation for small-N repeated-measures designs with two time points and two raters. The package is intended for applications in which sample size is limited and the observed outcome may be affected by rater-specific bias. User-supplied data are standardised into a common long-format structure. Pre-post effects are analysed using difference scores in a linear model with a rater indicator as covariate. Posterior summaries for the regression coefficients are obtained from a large-sample normal approximation centred at the least-squares estimate with plug-in covariance under a flat improper prior. Evidence for a non-zero pre-post effect, adjusted for rater differences, is summarised using a BIC-based approximation to the Bayes factor for comparison between models with and without the pre-post effect. Monte Carlo validation uses design quantities estimated from the observed data, including sample size, mean pre-post change, and second-rater a [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-04-22 12:33:34 UTC; irene
Author: Irene Gianeselli [aut, cre] , Andrea Bosco [aut] , Demis Basso [aut]
Maintainer: Irene Gianeselli <irene.gianeselli@unibz.it>
Repository: CRAN
Date/Publication: 2026-04-23 20:10:09 UTC

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New package RoME with initial version 0.2.3
Package: RoME
Title: Multiple Checks on MEDITS Trawl Survey Data
Version: 0.2.3
Description: Provides quality checks for MEDITS (International Bottom Trawl Survey in the Mediterranean) trawl survey exchange data tables (TA (Haul data), TB (Catch data), TC (Biological data), TE (Biological individual data), TL (Litter data)). The main function RoME() calls all check functions in a defined sequence to perform a complete quality control of TX (Generic exchange data) data, including header validation, controlled-vocabulary checks, cross-table consistency tests, and biological plausibility checks. No automatic correction is applied: the package detects errors, warns the user, and specifies the type of error to ease data correction. Checks can be run simultaneously on multi-year datasets. An embedded 'shiny' application is also provided via run_RoME_app(). References describing the methods: MEDITS Working Group (2017) <https://www.sibm.it/MEDITS%202011/principaledownload.htm>.
Depends: R (>= 4.0)
License: GPL-3
Encoding: UTF-8
Language: en-US
LazyData: true
Imports: timeDate, stringr, ggplot2, rnaturalearth, rnaturalearthdata, zip, maps, sp, dplyr, ggrepel, magrittr, geosphere, shiny
Suggests: knitr, rmarkdown, svDialogs, shinyjs
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-22 13:49:48 UTC; Walter
Author: Walter Zupa [aut, cre], Isabella Bitetto [aut], Maria Teresa Spedicato [aut], Loredana Casciaro [rev], Cosmidano Neglia [rev]
Maintainer: Walter Zupa <zupa@fondazionecoispa.org>
Repository: CRAN
Date/Publication: 2026-04-23 19:50:21 UTC

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New package randomForestRHF with initial version 1.0.0
Package: randomForestRHF
Version: 1.0.0
Date: 2026-04-22
Title: Random Hazard Forests
Author: Hemant Ishwaran [aut], Udaya B. Kogalur [aut, cre]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>
Depends: R (>= 4.3.0),
Imports: randomForestSRC (>= 3.3.1), varPro (>= 3.0.0), survival
Suggests: mlbench, interp, glmnet
SystemRequirements: OpenMP
Description: Random Hazard Forests (RHF) extend Random Survival Forests (RSF) by directly estimating the hazard function and by accommodating time-dependent covariates through counting-process style inputs. The package fits tree ensembles for dynamic survival prediction, returning hazard, cumulative hazard, integrated hazard, and related performance summaries for training and test data. The methods build on Random Survival Forests described by Ishwaran et al. (2008) <doi:10.1214/08-AOAS169> and on nonparametric hazard modeling with time-dependent covariates described by Lee et al. (2021) <doi:10.1214/20-AOS2028>.
License: GPL (>= 3)
URL: https://www.randomforestsrc.org/ https://ishwaran.org/
NeedsCompilation: yes
Packaged: 2026-04-22 14:10:29 UTC; kogalur
Repository: CRAN
Date/Publication: 2026-04-23 20:00:02 UTC

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New package peticontrast with initial version 0.1.0
Package: peticontrast
Title: Professional Contrast Coding for OLS Models
Version: 0.1.0
Description: Automates sum coding (also known as effect coding) for Ordinary Least Squares (OLS) regression models. This approach is specifically designed to handle seasonal time series and categorical variables by comparing each group to the grand mean, rather than a single baseline category. This ensures that the intercept represents the unweighted grand mean of the dependent variable. For a comprehensive overview of contrast coding systems, see the UCLA Advanced Research Computing documentation (2021) <https://stats.oarc.ucla.edu/r/library/r-library-contrast-coding-systems-for-categorical-variables/>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
Suggests: knitr
NeedsCompilation: no
Packaged: 2026-04-22 10:51:15 UTC; petya
Author: Peti Mester [aut, cre]
Maintainer: Peti Mester <petyatoth2005@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-23 19:40:02 UTC

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New package irtsim with initial version 0.1.1
Package: irtsim
Title: Monte Carlo Simulation-Based Sample-Size Planning for Item Response Theory
Version: 0.1.1
Description: Provides a pipeline application programming interface (API) for Monte Carlo simulation-based sample-size planning in item response theory (IRT). Implements the 10-decision framework from Schroeders and Gnambs (2025) <doi:10.1177/25152459251314798> as a three-step workflow: specify the data-generating model with irt_design(), add study conditions with irt_study(), and run simulations with irt_simulate(). Supports one-parameter logistic (1PL), two-parameter logistic (2PL), and graded response models with missing-completely-at-random (MCAR), missing-at-random (MAR), booklet, and linking missingness mechanisms. Results include mean squared error (MSE), bias, root mean squared error (RMSE), standard error (SE), and coverage criteria with summary and plot methods.
License: GPL (>= 3)
URL: https://github.com/sward1/irtsim
BugReports: https://github.com/sward1/irtsim/issues
Depends: R (>= 4.1.0)
Imports: cli, future.apply, ggplot2, mirt, rlang
Suggests: future, knitr, R.rsp (>= 0.46.0), rmarkdown, scales, testthat (>= 3.0.0)
VignetteBuilder: R.rsp
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-04-22 13:35:50 UTC; stephenward
Author: Stephen Ward [aut, cre]
Maintainer: Stephen Ward <stephen_ward+irtsim@abhome.co>
Repository: CRAN
Date/Publication: 2026-04-23 19:50:11 UTC

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New package dynasim with initial version 1.1
Package: dynasim
Title: Dynamics Similarity Coefficient
Version: 1.1
Description: Implements the quantile-graph based Dynamics Similarity Coefficient (DSC) for comparing intrinsic dynamics of time series.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-22 14:41:49 UTC; niech
Author: Chun-Xiao Nie [aut, cre]
Maintainer: Chun-Xiao Nie <niechunxiao2009@163.com>
Repository: CRAN
Date/Publication: 2026-04-23 20:00:09 UTC

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New package distilleR with initial version 1.0.0
Package: distilleR
Title: A Wrap Around the 'DistillerSR' APIs
Version: 1.0.0
Maintainer: Luca Belmonte <luca.belmonte@efsa.europa.eu>
Description: Interface to 'DistillerSR' APIs. See <https://apidocs.evidencepartners.com/> for more details.
License: EUPL-1.2
URL: https://openefsa.github.io/distilleR/
BugReports: https://github.com/openefsa/distilleR/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.5), checkmate (>= 2.3.1), glue (>= 1.7.0), httr2 (>= 1.2.1), jsonlite (>= 1.8.7), readr (>= 2.1.5), readxl (>= 1.4.3), tibble (>= 3.3.0)
Suggests: devtools (>= 2.4.5), knitr (>= 1.0), rmarkdown (>= 2.0), roxygen2 (>= 7.2.1), testthat (>= 3.0.0), usethis (>= 2.2.3), covr (>= 3.6.4), openxlsx (>= 4.2.8), rlang (>= 1.1.4)
Encoding: UTF-8
VignetteBuilder: knitr
Repository: CRAN
NeedsCompilation: no
Packaged: 2026-04-22 08:43:38 UTC; copello
Author: Lorenzo Copelli [aut] , Fulvio Barizzone [aut] , Dayana Stephanie Buzle [aut] , Rafael Vieira [aut] , Luca Belmonte [aut, cre]
Date/Publication: 2026-04-23 19:50:17 UTC

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Wed, 22 Apr 2026

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

More information about randompack at CRAN
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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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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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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

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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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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

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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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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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Tue, 21 Apr 2026

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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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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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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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

More information about socialdrift at CRAN
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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

More information about rtemis.core at CRAN
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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

More information about ROI.format.cbf at CRAN
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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

More information about raretrans at CRAN
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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

More information about printify at CRAN
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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

More information about OdysseusPathwayModule at CRAN
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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

More information about mx.api at CRAN
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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

More information about mpshock at CRAN
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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

More information about K4Sekolah at CRAN
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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

More information about htaBIM at CRAN
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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

More information about ggerror at CRAN
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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

More information about dsROCrate at CRAN
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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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