Thu, 07 May 2026

Package textreuse updated to version 1.0.1 with previous version 0.1.5 dated 2020-05-15

Title: Detect Text Reuse and Document Similarity
Description: Tools for measuring similarity among documents and detecting passages which have been reused. Implements shingled n-gram, skip n-gram, and other tokenizers; similarity/dissimilarity functions; pairwise comparisons; minhash and locality sensitive hashing algorithms; and a version of the Smith-Waterman local alignment algorithm suitable for natural language.
Author: Lincoln Mullen [aut] , Yaoxiang Li [aut, cre]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>

Diff between textreuse versions 0.1.5 dated 2020-05-15 and 1.0.1 dated 2026-05-07

 DESCRIPTION                                    |   31 
 LICENSE                                        |    4 
 MD5                                            |  203 
 NAMESPACE                                      |  210 
 NEWS.md                                        |  107 
 R/RcppExports.R                                |   52 
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More information about textreuse at CRAN
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Package promor readmission to version 0.2.3 with previous version 0.2.2 dated 2025-11-11

Title: Proteomics Data Analysis and Modeling Tools
Description: A comprehensive, user-friendly package for label-free proteomics data analysis and machine learning-based modeling. Data generated from 'MaxQuant' can be easily used to conduct differential expression analysis, build predictive models with top protein candidates, and assess model performance. promor includes a suite of tools for quality control, visualization, missing data imputation (Lazar et. al. (2016) <doi:10.1021/acs.jproteome.5b00981>), differential expression analysis (Ritchie et. al. (2015) <doi:10.1093/nar/gkv007>), and machine learning-based modeling (Kuhn (2008) <doi:10.18637/jss.v028.i05>).
Author: Chathurani Ranathunge [aut, cre, cph]
Maintainer: Chathurani Ranathunge <caranathunge86@gmail.com>

This is a re-admission after prior archival of version 0.2.2 dated 2025-11-11

Diff between promor versions 0.2.2 dated 2025-11-11 and 0.2.3 dated 2026-05-07

 DESCRIPTION                            |    6 +++---
 MD5                                    |    6 +++---
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Package pensynth updated to version 0.8.2 with previous version 0.8.1 dated 2025-10-13

Title: Penalized Synthetic Control Estimation
Description: Estimate penalized synthetic control models and perform hold-out validation to determine their penalty parameter. This method is based on the work by Abadie & L'Hour (2021) <doi:10.1080/01621459.2021.1971535>. Penalized synthetic controls smoothly interpolate between one-to-one matching and the synthetic control method.
Author: Erik-Jan van Kesteren [cre, aut] , Isaac Slaughter [ctb]
Maintainer: Erik-Jan van Kesteren <erikjanvankesteren@pm.me>

Diff between pensynth versions 0.8.1 dated 2025-10-13 and 0.8.2 dated 2026-05-07

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More information about pensynth at CRAN
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Package ibkrcp updated to version 0.1.1 with previous version 0.1.0 dated 2026-05-06

Title: R Client for the Interactive Brokers Client Portal API
Description: Provides a lightweight R interface to the Interactive Brokers (IBKR) Client Portal REST API. Functions cover session management, account and portfolio queries, market data retrieval, and order placement and cancellation. Requires a locally running IBKR Client Portal Gateway.
Author: Nagappan Karuppiah [aut, cre]
Maintainer: Nagappan Karuppiah <sactyr@gmail.com>

Diff between ibkrcp versions 0.1.0 dated 2026-05-06 and 0.1.1 dated 2026-05-07

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Package AntClassify updated to version 0.2.1 with previous version 0.1.0 dated 2026-04-09

Title: Functional Guilds, Invasion Status, Endemism, and Rarity of Ants
Description: Provides functions for the analysis of ant communities, aiming to standardize workflows in myrmecology. The package automates the assignment of species to functional guilds based on trophic strategies, feeding habits, and foraging behavior, using established classification frameworks (Silva et al., 2015 <doi:10.7476/9788574554419>; Silvestre et al., 2003 <isbn:9588151236>; Delabie et al., 2000 <https://www.researchgate.net/publication/44961742_Sampling_Ground-Dwelling_Ants_Case_Studies_from_the_World%27s_Rain_Forests>), and also includes a novel classification system implemented within the package, developed from ant species occurring in urban environments. It also includes routines to flag exotic species of Brazil (Vieira, 2025, unpublished master's thesis), identify endemic species (Silva et al., 2025 <doi:10.37885/250920259>), and classify species rarity and rarity forms of the Atlantic Forest (Silva et al., 2024 <doi:10.1016/j.biocon.2024.110640>). The [...truncated...]
Author: Debora C. O. Goncalves [aut, cre], Nathalia S. Silva [aut], Rony P. S. Almeida [aut], Livia P. Prado [aut], Maria S. C. Morini [aut]
Maintainer: Debora C. O. Goncalves <debora_cog@outlook.com>

Diff between AntClassify versions 0.1.0 dated 2026-04-09 and 0.2.1 dated 2026-05-07

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Package matrixCorr (with last version 0.11.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2026-04-18 0.11.1
2026-04-03 0.10.0
2026-03-20 0.8.5
2026-03-03 0.8.4
2025-12-22 0.8.3
2025-12-03 0.7.2
2025-11-15 0.6.2
2025-09-22 0.5.1
2025-08-26 0.3.1

Permanent link
Package dcifer updated to version 1.5.2 with previous version 1.5.0 dated 2025-11-11

Title: Genetic Relatedness Between Polyclonal Infections
Description: An implementation of Dcifer (Distance for complex infections: fast estimation of relatedness), an identity by descent (IBD) based method to calculate genetic relatedness between polyclonal infections from biallelic and multiallelic data. The package includes functions that format and preprocess the data, implement the method, and visualize the results. Gerlovina et al. (2022) <doi:10.1093/genetics/iyac126>.
Author: Inna Gerlovina [aut, cre]
Maintainer: Inna Gerlovina <innager@berkeley.edu>

Diff between dcifer versions 1.5.0 dated 2025-11-11 and 1.5.2 dated 2026-05-07

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Package mwTensor updated to version 1.2.2 with previous version 1.1.0 dated 2023-07-06

Title: Multi-Way Component Analysis
Description: For single tensor data, any matrix factorization method can be specified the matricised tensor in each dimension by Multi-way Component Analysis (MWCA). An originally extended MWCA is also implemented to specify and decompose multiple matrices and tensors simultaneously (CoupledMWCA). See the reference section of GitHub README.md <https://github.com/rikenbit/mwTensor>, for details of the methods.
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

Diff between mwTensor versions 1.1.0 dated 2023-07-06 and 1.2.2 dated 2026-05-07

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Package ggblanket updated to version 20.0.0 with previous version 12.4.0 dated 2025-06-03

Title: Publication-Quality 'ggplot2' Visualisation
Description: Wrapper 'ggplot2' functions for publication-quality visualisation. Aligned with 'ggplot2' and 'tidyverse'. Covers much of what 'ggplot2' does.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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Package cgmguru updated to version 0.2.0 with previous version 0.1.0 dated 2025-11-05

Title: Advanced Continuous Glucose Monitoring Analysis with High-Performance C++ Backend
Description: Tools for advanced analysis of continuous glucose monitoring (CGM) time-series, implementing GRID (Glucose Rate Increase Detector) and GRID-based algorithms for postprandial peak detection, and detection of hypoglycemic and hyperglycemic episodes (Levels 1/2/Extended) aligned with international consensus CGM metrics. Core algorithms are implemented in optimized C++ using 'Rcpp' to provide accurate and fast analysis on large datasets.
Author: Sang Ho Park [aut, cre], Rosa Oh [aut, ctb], Sang-Man Jin [aut, ctb]
Maintainer: Sang Ho Park <shstat1729@gmail.com>

Diff between cgmguru versions 0.1.0 dated 2025-11-05 and 0.2.0 dated 2026-05-07

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Package lmtp updated to version 1.5.4 with previous version 1.5.3 dated 2025-07-24

Title: Non-Parametric Causal Effects of Feasible Interventions Based on Modified Treatment Policies
Description: Non-parametric estimators for casual effects based on longitudinal modified treatment policies as described in Diaz, Williams, Hoffman, and Schenck <doi:10.1080/01621459.2021.1955691>, traditional point treatment, and traditional longitudinal effects. Continuous, binary, categorical treatments, and multivariate treatments are allowed as well are censored outcomes. The treatment mechanism is estimated via a density ratio classification procedure irrespective of treatment variable type. For both continuous and binary outcomes, additive treatment effects can be calculated and relative risks and odds ratios may be calculated for binary outcomes. Supports survival outcomes with competing risks (Diaz, Hoffman, and Hejazi; <doi:10.1007/s10985-023-09606-7>).
Author: Nicholas Williams [aut, cre, cph] , Ivan Diaz [aut, cph] , Beaudan Campbell-Brown [ctb]
Maintainer: Nicholas Williams <ntwilliams.personal@gmail.com>

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Wed, 06 May 2026

Package ebvcube (with last version 0.5.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2025-07-29 0.5.2
2025-06-18 0.5.1
2025-04-28 0.5.0
2025-03-05 0.4.0

Permanent link
Package Deducer updated to version 0.9-2 with previous version 0.9-1 dated 2025-10-02

Title: A Data Analysis GUI for R
Description: An intuitive, cross-platform graphical data analysis system. It uses menus and dialogs to guide the user efficiently through the data manipulation and analysis process, and has an excel like spreadsheet for easy data frame visualization and editing. Deducer works best when used with the Java based R GUI JGR, but the dialogs can be called from the command line. Dialogs have also been integrated into the Windows Rgui.
Author: Ian Fellows [aut, cre]
Maintainer: Ian Fellows <ian@fellstat.com>

Diff between Deducer versions 0.9-1 dated 2025-10-02 and 0.9-2 dated 2026-05-06

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New package tesouror with initial version 0.2.2
Package: tesouror
Title: Access Brazilian National Treasury Open Data APIs
Version: 0.2.2
Description: Provides a unified interface to access open data from the Brazilian National Treasury ('Tesouro Nacional') and related government APIs. Covers six data sources: 'SICONFI' <https://apidatalake.tesouro.gov.br/docs/siconfi/> for fiscal reports ('RREO', 'RGF', 'DCA', 'MSC') and entity information; 'CUSTOS' <https://apidatalake.tesouro.gov.br/docs/custos/> for federal government cost data; 'SADIPEM' <https://apidatalake.tesouro.gov.br/docs/sadipem/> for public debt and credit operations; 'Transferencias Constitucionais' <https://apiapex.tesouro.gov.br/aria/v1/transferencias_constitucionais/docs> for constitutional transfers to states and municipalities; 'SIORG' <https://estruturaorganizacional.dados.gov.br> for federal organizational structure; and 'SIOPE' ('FNDE'/'MEC') for education spending data. Features automatic pagination, in-memory caching, retry logic, and tidy output.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), dplyr (>= 1.1.0), httr2 (>= 1.0.0), janitor (>= 2.2.0), stringi (>= 1.7.0), stringr (>= 1.5.0), tibble (>= 3.2.0)
Suggests: httptest2 (>= 1.0.0), knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
URL: https://github.com/StrategicProjects/tesouror, https://strategicprojects.github.io/tesouror/
BugReports: https://github.com/StrategicProjects/tesouror/issues
NeedsCompilation: no
Packaged: 2026-05-04 13:31:43 UTC; leite
Author: Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Carlos Amorin [aut], Diogo Bezerra [aut], Tiago Pereira [aut], Fernando Barbalho [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-05-06 20:30:02 UTC

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New package ipeval with initial version 0.1.0
Package: ipeval
Title: Evaluation of Interventional Predictions
Version: 0.1.0
Description: Provides methods to evaluate predictive performance of models that estimate risks under hypothetical intervention scenarios (interventional/causal/counterfactual predictions) with observational data subject to treatment-outcome confounding. Inverse probability of treatment weighting (IPTW) is used to construct a pseudopopulation in which all individuals receive a specified intervention, enabling assessment of agreement between predicted risks under the intervention and observed outcomes in the pseudo-population corresponding to that intervention. Package supports binary and time-to-event outcomes under binary interventions made at a single time point. Performance measures supported are AUC (Area Under the receiving operating characteristic Curve), Brier score, observed-expected ratio, and calibration plots. Methods implemented in this package are based on work by Keogh and Van Geloven (2024) <DOI:10.1097/EDE.0000000000001713>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: stats, survival, prodlim
Depends: R (>= 3.5)
URL: https://jvelumc.github.io/ipeval/, https://github.com/jvelumc/ipeval
BugReports: https://github.com/jvelumc/ipeval/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ipw, riskRegression
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-04 13:57:24 UTC; jwavanegeraat
Author: Jasper van Egeraat [aut, cre], Nan van Geloven [aut, cph], Ruth Keogh [aut, cph], Leiden University Medical Center [fnd]
Maintainer: Jasper van Egeraat <j.w.a.van_egeraat@lumc.nl>
Repository: CRAN
Date/Publication: 2026-05-06 20:30:11 UTC

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New package CanonicalFamilyExtra with initial version 1.0.0
Package: CanonicalFamilyExtra
Title: Extra Canonical Link Family Objects for Generalized Linear Models
Version: 1.0.0
Description: Extra family objects in "weird" scenarios, particularly logistic or log-linear model with unbounded or non-binary/non-integer outcomes. Provides binomial_extra() and poisson_extra() as generalizations of binomial() and poisson(). The use of canonical link with the corresponding working likelihood in glm() ensures convexity, making model fitting reliable and independent of starting value. Robert WM Wedderburn (1974) <doi:10.1093/biomet/61.3.439> and Peter McCullagh (1983) <doi:10.1214/aos/1176346056> justified this method to fit generalized linear (mean) models with quasi-/working likelihood.
License: GPL (>= 2)
Imports: stats
Suggests: gee, geepack, SuperLearner, ipred, glmnet
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-05-04 13:33:04 UTC; qiuhongx
Author: Hongxiang Qiu [aut, cre]
Maintainer: Hongxiang Qiu <david940408@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-06 20:30:17 UTC

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New package ViewR with initial version 1.0.0
Package: ViewR
Title: Interactive Data Viewer, Filter, and Editor
Version: 1.0.0
Description: Provides a feature-rich, popup-based interactive interface for viewing, exploring, filtering, sorting, editing, analysing, and plotting R data frames. Key features include: a searchable, paginated data table with drag-and-drop column reordering and variable-label 'tooltips'; multi-condition filters (AND/OR) with live preview; multi-column sorting; column visibility management with search; an Excel-like cell editor powered by 'rhandsontable'; find-and-replace across one or all columns (literal or regex) with automatic live preview; a Plots tab with auto-detected histograms and bar charts for every column; automatic 'dplyr' code generation reflecting every operation performed in the 'UI'; one-click CSV export; and a Variable Info tab with type, missing values, and summary statistics. The entire interface is launched with a single call to ViewR() and works as a popup dialog, in the 'RStudio' Viewer pane, or in the system browser.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
URL: https://github.com/itsmdivakaran/viewR, https://itsmdivakaran.github.io/viewR/
BugReports: https://github.com/itsmdivakaran/viewR/issues
Imports: shiny (>= 1.7.0), DT (>= 0.27), rhandsontable (>= 0.3.8), shinyjs (>= 2.1.0), shinythemes (>= 1.2.0), htmltools (>= 0.5.4), jsonlite (>= 1.8.0), utils
Suggests: haven, tibble, dplyr, knitr, rmarkdown, testthat (>= 3.0.0), covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-04 06:12:06 UTC; maheshdivakaran
Author: Mahesh Divakaran [aut, cre]
Maintainer: Mahesh Divakaran <imaheshdivakaran@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-06 19:50:07 UTC

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New package survdt with initial version 0.9.0
Package: survdt
Title: Improved Methods for Survival Analysis under Double Truncation
Version: 0.9.0
Description: Contains existing and novel methods for nonparametric analysis and Cox regression analysis with doubly truncated survival data, as described in Vazquez and Xie (2025) <doi:10.1007/s10985-025-09650-5>. Includes survival curves and hazard estimates through nonparametric maximum likelihood estimation, various tests for detecting group differences or non-ignorable sampling bias, and inverse probability weighted Cox regression with several options of nonparametric weights. Also implements diagnostics for key modeling assumptions such as quasi-independent truncation and the positivity assumption. Closed-form standard errors are available for all estimates, i.e. bootstrapping is not required.
License: GPL (>= 3)
Encoding: UTF-8
Imports: ggplot2, igraph, stats, survival
Depends: R (>= 2.10)
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-03 21:12:41 UTC; ovazquez
Author: Omar Vazquez [aut, cre, cph] , Sharon X. Xie [ths]
Maintainer: Omar Vazquez <omar.vazquez@pennmedicine.upenn.edu>
Repository: CRAN
Date/Publication: 2026-05-06 19:30:02 UTC

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New package OSCARS with initial version 0.1.2
Package: OSCARS
Title: Global Bounded Optimization by the OSCARS-II Algorithm
Version: 0.1.2
Maintainer: Chris Price <chrisj.price@canterbury.ac.nz>
Description: A collection of general optimization routines based on variants of the One Side Cut Accelerated Random Search (OSCARS-II) algorithm (Price et al., 2020, <doi:10.1007/s10898-020-00928-6>). The main function , 'oscars()', performs black-box optimization of a general (including nonsmooth or discontinuous) function subject to simple bounds on the unknowns. If all bounds are finite, oscars searches globally. The main method implements a stochastic direct search method and is derivative free. Testing shows the OSCARS-II algorithm usually finds extrema with fewer function evaluations than similar global derivative-free methods.
License: Apache License (>= 2)
Encoding: UTF-8
Imports: stats
NeedsCompilation: no
Packaged: 2026-05-04 04:09:09 UTC; cjp64
Author: Chris Price [aut, cre], Trent McDonald [aut, ctb]
Repository: CRAN
Date/Publication: 2026-05-06 19:50:11 UTC

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New package MFRCD with initial version 0.1.0
Package: MFRCD
Title: Optimal Row-Column Designs for Asymmetrical Factorial Experiments
Version: 0.1.0
Maintainer: Sukanta Dash <sukanta.iasri@gmail.com>
Description: Constructs and analyzes optimal row-column designs for mixed-level factorial experiments under two field situations like square field layouts, where the number of rows and columns are equal, and rectangular field layouts, where one blocking direction is determined by a selected block size. For square field layouts, the package implements direct common-factor constructions by first forming two component treatment arrays, one for each factor or super-factor, and then combining them through a symbolic cell-wise product following Gopinath, Parsad and Mandal (2018) <doi:10.1080/03610926.2017.1376091>. For rectangular field layouts, the package constructs designs by extracting a balanced principal block from a mixed-level block design derived from r package mixedfact, treating it as the principal column, taking the complete treatment set as the principal row, and generating the full row-column design by cyclic modular development. The package also provides diagnostic tools for connecte [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats
Suggests: mixedfact, roxygen2, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-04 03:54:39 UTC; Sukanta
Author: Archana A [aut], Sukanta Dash [aut, cre]
Repository: CRAN
Date/Publication: 2026-05-06 19:50:16 UTC

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New package ibkrcp with initial version 0.1.0
Package: ibkrcp
Title: R Client for the Interactive Brokers Client Portal API
Version: 0.1.0
Description: Provides a lightweight R interface to the Interactive Brokers (IBKR) Client Portal REST API <https://www.interactivebrokers.com/campus/ibkr-api-page/cpapi-v1/>. Functions cover session management, account and portfolio queries, market data retrieval, and order placement and cancellation. Requires a locally running IBKR Client Portal Gateway.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
URL: https://github.com/sactyr/ibkrcp
BugReports: https://github.com/sactyr/ibkrcp/issues
Suggests: httptest2, knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Imports: httr2
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-05-04 04:59:14 UTC; sactyr
Author: Nagappan Karuppiah [aut, cre]
Maintainer: Nagappan Karuppiah <sactyr@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-06 19:50:02 UTC

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New package DataDNA with initial version 0.1.0
Package: DataDNA
Title: Data Frame Fingerprints and Lineage Figures
Version: 0.1.0
Description: Profiles R data frames as compact data fingerprints using schema, shape, missingness, distribution, category, uniqueness, time, and role signals. It compares versions, identifies close relatives in a library of historical data sets, and renders portable HTML cards plus static PNG/PDF lineage figures for reports.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: htmltools
NeedsCompilation: no
Packaged: 2026-05-04 10:06:39 UTC; TonyL
Author: Tony Lu [aut, cre]
Maintainer: Tony Lu <xulunt123@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-06 20:00:02 UTC

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Package medfateland updated to version 3.0.0 with previous version 2.8.1 dated 2025-10-22

Title: Mediterranean Landscape Simulation
Description: Simulate forest hydrology, forest function and dynamics over landscapes [De Caceres et al. (2015) <doi:10.1016/j.agrformet.2015.06.012>]. Parallelization is allowed in several simulation functions and simulations may be conducted including spatial processes such as lateral water transfer and seed dispersal.
Author: Miquel De Caceres [aut, cre], Aitor Ameztegui [aut] , Maria Gonzalez [aut] , Nuria Aquilue [aut], Daniel Caviedes-Voullieme [aut], Mario Morales-Hernandez [aut], Mario Beltran [ctb], Rodrigo Balaguer-Romano [ctb] , Roberto Molowny-Horas [ctb]
Maintainer: Miquel De Caceres <miquelcaceres@gmail.com>

Diff between medfateland versions 2.8.1 dated 2025-10-22 and 3.0.0 dated 2026-05-06

 DESCRIPTION                                     |   16 
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 NAMESPACE                                       |    3 
 R/RcppExports.R                                 |   20 
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 34 files changed, 932 insertions(+), 930 deletions(-)

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Package focus updated to version 0.1.5 with previous version 0.1.3 dated 2026-03-31

Title: Online Changepoint Detection in Univariate and Multivariate Data Streams
Description: Provides high-performance online changepoint detection in univariate and multivariate data streams. Implements efficient 'C++' backends for the 'focus', 'md-focus' and 'np-focus' algorithms, with an 'R' interface for real-time monitoring and offline analysis. The package bundles code from 'Qhull' <http://www.qhull.org/>, by C. B. Barber and The Geometry Center. See 'inst/COPYRIGHTS' for details.
Author: Gaetano Romano [aut, cre, trl], Kes Ward [aut], Yuntang Fan [aut], Guillem Rigaill [aut], Vincent Runge [aut], Paul Fearnhead [aut], Idris A. Eckley [aut], C. B. Barber [ctb, cph] , The Geometry Center [cph]
Maintainer: Gaetano Romano <g.romano@lancaster.ac.uk>

Diff between focus versions 0.1.3 dated 2026-03-31 and 0.1.5 dated 2026-05-06

 DESCRIPTION               |    8 ++++----
 MD5                       |    6 +++---
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 src/focus_rcpp_module.cpp |   20 ++++++++++++++++----
 4 files changed, 49 insertions(+), 27 deletions(-)

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Package tidywikidatar updated to version 0.6.2 with previous version 0.6.1 dated 2026-02-09

Title: Explore 'Wikidata' Through Tidy Data Frames
Description: Query 'Wikidata' API <https://www.wikidata.org/wiki/Wikidata:Main_Page> with ease, get tidy data frames in response, and cache data in a local database.
Author: Giorgio Comai [aut, cre, cph] , EDJNet [fnd]
Maintainer: Giorgio Comai <giorgio.comai@cci.tn.it>

Diff between tidywikidatar versions 0.6.1 dated 2026-02-09 and 0.6.2 dated 2026-05-06

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 62 files changed, 713 insertions(+), 238 deletions(-)

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Package openesm updated to version 0.2.0 with previous version 0.1.2 dated 2025-12-03

Title: Access the Open Experience Sampling Method Database
Description: Provides programmatic access to the Open Experience Sampling Method ('openESM') database (<https://openesmdata.org>), a collection of harmonized experience sampling datasets. The package enables researchers to discover, download, and work with the datasets while ensuring proper citation and license compliance.
Author: Bjoern S. Siepe [aut, cre, cph] , Matthias Kloft [aut]
Maintainer: Bjoern S. Siepe <bjoernsiepe@gmail.com>

Diff between openesm versions 0.1.2 dated 2025-12-03 and 0.2.0 dated 2026-05-06

 DESCRIPTION                       |    6 +-
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 R/get_dataset.R                   |   81 ++++++++++++++++++++++++++++----------
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 tests/testthat/test-get_dataset.R |   16 ++++++-
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 8 files changed, 159 insertions(+), 126 deletions(-)

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Package MorphSim updated to version 1.2.0 with previous version 0.1.0 dated 2026-01-12

Title: Simulate Discrete Character Data along Phylogenetic Trees
Description: Tools to simulate morphological traits along phylogenetic trees with branch lengths representing evolutionary distance or time. Includes functions for visualizing evolutionary processes along trees and within morphological character matrices.
Author: Laura Mulvey [aut, cre, cph], Tim Brandler [aut, cph], Alessio Capobianco [aut, cph], Rachel Warnock [aut, cph], Joelle Barido-Sottani [aut, cph]
Maintainer: Laura Mulvey <lauramulvey479@gmail.com>

Diff between MorphSim versions 0.1.0 dated 2026-01-12 and 1.2.0 dated 2026-05-06

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 28 files changed, 703 insertions(+), 206 deletions(-)

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Package divent updated to version 0.5-4 with previous version 0.5-3 dated 2025-08-27

Title: Entropy Partitioning to Measure Diversity
Description: Measurement and partitioning of diversity, based on Tsallis entropy, following Marcon and Herault (2015) <doi:10.18637/jss.v067.i08>. 'divent' provides functions to estimate alpha, beta and gamma diversity of communities, including phylogenetic and functional diversity.
Author: Eric Marcon [aut, cre] , Florence Puech [aut]
Maintainer: Eric Marcon <eric.marcon@agroparistech.fr>

Diff between divent versions 0.5-3 dated 2025-08-27 and 0.5-4 dated 2026-05-06

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 42 files changed, 746 insertions(+), 436 deletions(-)

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Package cpp11 updated to version 0.5.5 with previous version 0.5.4 dated 2026-04-04

Title: A C++11 Interface for R's C Interface
Description: Provides a header only, C++11 interface to R's C interface. Compared to other approaches 'cpp11' strives to be safe against long jumps from the C API as well as C++ exceptions, conform to normal R function semantics and supports interaction with 'ALTREP' vectors.
Author: Davis Vaughan [aut, cre] , Jim Hester [aut] , Romain Francois [aut] , Benjamin Kietzman [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Davis Vaughan <davis@posit.co>

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Package blindrecalc updated to version 1.1.1 with previous version 1.1.0 dated 2025-06-17

Title: Blinded Sample Size Recalculation
Description: Computation of key characteristics and plots for blinded sample size recalculation. Continuous as well as binary endpoints are supported in superiority and non-inferiority trials. See Baumann, Pilz, Kieser (2022) <doi:10.32614/RJ-2022-001> for a detailed description. The implemented methods include the approaches by Lu, K. (2016) <doi:10.1002/pst.1737>, Kieser, M. and Friede, T. (2000) <doi:10.1002/(SICI)1097-0258(20000415)19:7%3C901::AID-SIM405%3E3.0.CO;2-L>, Friede, T. and Kieser, M. (2004) <doi:10.1002/pst.140>, Friede, T., Mitchell, C., Mueller-Veltern, G. (2007) <doi:10.1002/bimj.200610373>, and Friede, T. and Kieser, M. (2011) <doi:10.3414/ME09-01-0063>.
Author: Lukas Baumann [aut, cre] , Maximilian Pilz [aut] , Institute of Medical Biometry - University of Heidelberg [cph]
Maintainer: Lukas Baumann <baumann@imbi.uni-heidelberg.de>

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Package sprtt updated to version 0.3.1 with previous version 0.2.0 dated 2023-07-06

Title: Sequential Probability Ratio Tests Toolbox
Description: A toolbox for Sequential Probability Ratio Tests (SPRT) based on Wald (1945) <doi:10.2134/agronj1947.00021962003900070011x>. SPRTs are applied during the sampling process, ideally after each observation, and at every stage return a decision to either continue sampling or terminate and accept one of the specified hypotheses. The `seq_ttest()` function performs one-sample, two-sample, and paired t-tests for one- and two-sided hypotheses (Schnuerch & Erdfelder (2019) <doi:10.1037/met0000234>). The `seq_anova()` function performs a sequential one-way fixed effects ANOVA (Steinhilber et al. (2024) <doi:10.1037/met0000677>). The `plan_sample_size()` function helps plan sequential studies by simulating required sample sizes across a range of effect sizes. For more information, see the vignettes browseVignettes(package = "sprtt") or the package website <https://meikesteinhilber.github.io/sprtt/>.
Author: Meike Snijder-Steinhilber [aut, cre] , Martin Schnuerch [aut, ths] , Anna-Lena Schubert [aut, ths]
Maintainer: Meike Snijder-Steinhilber <Meike.Steinhilber@aol.com>

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Package lfproQC updated to version 1.4.3 with previous version 1.4.2 dated 2026-05-01

Title: Quality Control for Label-Free Proteomics Expression Data
Description: Label-free bottom-up proteomics expression data is often affected by data heterogeneity and missing values. Normalization and missing value imputation are commonly used techniques to address these issues and make the dataset suitable for further downstream analysis. This package provides an optimal combination of normalization and imputation methods for the dataset. The package utilizes three normalization methods and three imputation methods.The statistical evaluation measures named pooled co-efficient of variance, pooled estimate of variance and pooled median absolute deviation are used for selecting the best combination of normalization and imputation method for the given dataset. The user can also visualize the results by using various plots available in this package. The user can also perform the differential expression analysis between two sample groups with the function included in this package. The chosen three normalization methods, three imputation methods and three evaluati [...truncated...]
Author: Kabilan S [aut, cre], Dr Shashi Bhushan Lal [aut, ths], Dr Sudhir Srivastava [aut, ths], Dr Krishna Kumar Chaturvedi [ths], Dr Yasin Jeshima K [ths], Dr Ramasubramanian V [ths], Dr Dwijesh Chandra Mishra [ths], Dr Girish Kumar Jha [ctb], Dr Sharanbas [...truncated...]
Maintainer: Kabilan S <kabilan151414@gmail.com>

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Package sf updated to version 1.1-1 with previous version 1.1-0 dated 2026-02-24

Title: Simple Features for R
Description: Support for simple feature access, a standardized way to encode and analyze spatial vector data. Binds to 'GDAL' <doi:10.5281/zenodo.5884351> for reading and writing data, to 'GEOS' <doi:10.5281/zenodo.11396894> for geometrical operations, and to 'PROJ' <doi:10.5281/zenodo.5884394> for projection conversions and datum transformations. Uses by default the 's2' package for geometry operations on geodetic (long/lat degree) coordinates.
Author: Edzer Pebesma [aut, cre] , Roger Bivand [ctb] , Etienne Racine [ctb], Michael Sumner [ctb], Ian Cook [ctb], Tim Keitt [ctb], Robin Lovelace [ctb], Hadley Wickham [ctb], Jeroen Ooms [ctb] , Kirill Mueller [ctb], Thomas Lin Pedersen [ctb], Dan Baston [c [...truncated...]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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New package mwmapdata with initial version 1.0.0
Package: mwmapdata
Title: Spatial Boundary Data for Malawi Administrative Levels
Version: 1.0.0
Description: Provides official spatial boundary datasets for Malawi at multiple administrative levels: country (level 0), regions (level 1), districts (level 2), and traditional authorities (level 3). Also includes Lake Malawi boundary data. Boundary data are the Common Operational Datasets (COD-AB) sourced from the National Statistics Office of Malawi and distributed via the OCHA Humanitarian Data Exchange (HDX), version 02 <https://data.humdata.org/dataset/cod-ab-mwi>. Intended for use with the 'mwmap' package or any spatial analysis workflow requiring Malawi administrative boundaries.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: sf
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
LazyData: true
LazyDataCompression: xz
URL: https://github.com/bitacanalytics/mwmapdata, https://github.com/bitacanalytics/mwmap
BugReports: https://github.com/bitacanalytics/mwmapdata/issues
NeedsCompilation: no
Packaged: 2026-05-02 20:09:36 UTC; bitac
Author: Chifundo Bita [aut, cre]
Maintainer: Chifundo Bita <bitac.analytics@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-06 11:20:02 UTC

More information about mwmapdata at CRAN
Permanent link

Package MetricGraph updated to version 1.6.0 with previous version 1.5.0 dated 2025-05-19

Title: Random Fields on Metric Graphs
Description: Facilitates creation and manipulation of metric graphs, such as street or river networks. Further facilitates operations and visualizations of data on metric graphs, and the creation of a large class of random fields and stochastic partial differential equations on such spaces. These random fields can be used for simulation, prediction and inference. In particular, linear mixed effects models including random field components can be fitted to data based on computationally efficient sparse matrix representations. Interfaces to the R packages 'INLA' and 'inlabru' are also provided, which facilitate working with Bayesian statistical models on metric graphs. The main references for the methods are Bolin, Simas and Wallin (2024) <doi:10.3150/23-BEJ1647>, Bolin, Kovacs, Kumar and Simas (2023) <doi:10.1090/mcom/3929> and Bolin, Simas and Wallin (2023) <doi:10.48550/arXiv.2304.03190> and <doi:10.48550/arXiv.2304.10372>.
Author: David Bolin [cre, aut], Alexandre Simas [aut], Jonas Wallin [aut]
Maintainer: David Bolin <davidbolin@gmail.com>

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Package medfate updated to version 5.0.0 with previous version 4.8.4 dated 2025-10-21

Title: Mediterranean Forest Simulation
Description: Simulate Mediterranean forest functioning and dynamics using cohort-based description of vegetation [De Caceres et al. (2015) <doi:10.1016/j.agrformet.2015.06.012>; De Caceres et al. (2021) <doi:10.1016/j.agrformet.2020.108233>].
Author: Miquel De Caceres [aut, cre, cph] , Nicolas Martin-StPaul [aut] , Victor Granda [aut] , Antoine Cabon [aut] , Arsene Druel [aut] , Julien Ruffault [aut] , Jordi Martinez-Vilalta [ctb] , Maurizio Mencuccini [ctb] , Francois Pimont [ctb] , Herve Cochar [...truncated...]
Maintainer: Miquel De Caceres <miquelcaceres@gmail.com>

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Package rapsimng updated to version 0.5.0 with previous version 0.4.6 dated 2026-02-09

Title: APSIM Next Generation
Description: The Agricultural Production Systems sIMulator ('APSIM') is a widely used to simulate the agricultural systems for multiple crops. This package is designed to create, modify and run 'apsimx' files in the 'APSIM' Next Generation <https://www.apsim.info/>.
Author: Bangyou Zheng [aut, cre]
Maintainer: Bangyou Zheng <zheng.bangyou@gmail.com>

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Package phsopendata updated to version 1.1.0 with previous version 1.0.3 dated 2026-02-05

Title: Extract from the Scottish Health and Social Care Open Data Platform
Description: Extract and interact with data from the Scottish Health and Social Care Open Data platform <https://www.opendata.nhs.scot>.
Author: Public Health Scotland [cph], Csilla Scharle [cre, aut], James Hayes [aut] , David Aikman [aut], Ross Hull [aut], Haritha Jagadeesh [aut], Simon Barnes [ctb]
Maintainer: Csilla Scharle <csilla.scharle2@phs.scot>

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Package ColombiAPI updated to version 0.3.2 with previous version 0.3.1 dated 2025-10-12

Title: Access Colombian Data via APIs and Curated Datasets
Description: Provides a comprehensive interface to access diverse public data about Colombia through multiple APIs and curated datasets. The package integrates four different APIs: 'API-Colombia' for Colombian-specific data including geography, culture, tourism, and government information; 'World Bank API' for economic and demographic indicators; 'Nager.Date' for public holidays; and 'REST Countries API' for general country information. The package enables users to explore various aspects of Colombia such as geographic locations, cultural attractions, economic indicators, demographic data, and public holidays. Additionally, 'ColombiAPI' includes curated datasets covering Bogota air stations, business and holiday dates, public schools, Colombian coffee exports, cannabis licenses, Medellin rainfall, malls in Bogota, as well as datasets on indigenous languages, student admissions and school statistics, forest liana mortality, municipal and regional data, connectivity and digital infrastructure, progra [...truncated...]
Author: Renzo Caceres Rossi [aut, cre]
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>

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Package word.alignment (with last version 1.1) was removed from CRAN

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2019-04-15 1.1
2018-02-21 1.0.9
2018-01-24 1.0.8
2017-10-26 1.0.7
2017-04-06 1.0.6
2017-03-14 1.0.5
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2019-02-27 1.1

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2018-06-04 0.1.2
2017-07-10 0.1.1
2017-03-14 0.1.0

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Package simtimer (with last version 4.0.0) was removed from CRAN

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2016-12-11 0.1.0

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2020-03-22 0.4-14.1
2019-05-27 0.4-14
2018-05-17 0.4-13
2013-11-12 0.4-11
2013-08-21 0.4-10
2012-06-19 0.4-6
2012-05-12 0.4-4
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Package terra updated to version 1.9-25 with previous version 1.9-11 dated 2026-03-26

Title: Spatial Data Analysis
Description: Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/> to get started.
Author: Robert J. Hijmans [cre, aut] , Andrew Brown [aut] , Marcia Barbosa [aut] , Krzysztof Dyba [ctb] , Roger Bivand [ctb] , Michael Chirico [ctb] , Emanuele Cordano [ctb] , Edzer Pebesma [ctb] , Barry Rowlingson [ctb] , Michael D. Sumner [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

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 terra-1.9-25/terra/src/focal.cpp                                | 1106 +++
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 terra-1.9-25/terra/src/write.cpp                                |    2 
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 176 files changed, 9534 insertions(+), 4671 deletions(-)

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Package ShortForm updated to version 0.5.8 with previous version 0.5.7 dated 2026-05-03

Title: Automatic Short Form Creation
Description: Performs automatic creation of short forms of scales with an ant colony optimization algorithm and a Tabu search. As implemented in the package, the ant colony algorithm randomly selects items to build a model of a specified length, then updates the probability of item selection according to the fit of the best model within each set of searches. The algorithm continues until the same items are selected by multiple ants a given number of times in a row. On the other hand, the Tabu search changes one parameter at a time to be either free, constrained, or fixed while keeping track of the changes made and putting changes that result in worse fit in a "tabu" list so that the algorithm does not revisit them for some number of searches. See Leite, Huang, & Marcoulides (2008) <doi:10.1080/00273170802285743> for an applied example of the ant colony algorithm, and Marcoulides & Falk (2018) <doi:10.1080/10705511.2017.1409074> for an applied example of the Tabu search.
Author: Anthony Raborn [aut, cre] , Walter Leite [aut]
Maintainer: Anthony Raborn <anthony.w.raborn@gmail.com>

Diff between ShortForm versions 0.5.7 dated 2026-05-03 and 0.5.8 dated 2026-05-06

 DESCRIPTION                        |   12 -
 MD5                                |   14 -
 NAMESPACE                          |    8 
 R/ACO.R                            |  334 ++++++++++++++++++++++---------------
 R/TS.R                             |   60 +++---
 R/tabu_sem_shortform.R             |   24 +-
 man/plot-ACO-ANY-method.Rd         |    2 
 tests/testthat/test-aco-internals  |only
 tests/testthat/test-tabu-internals |only
 9 files changed, 271 insertions(+), 183 deletions(-)

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Package INLAspacetime readmission to version 0.1.14 with previous version 0.1.13 dated 2025-12-21

Title: Spatial and Spatio-Temporal Models using 'INLA'
Description: Prepare objects to implement models over spatial and spacetime domains with the 'INLA' package (<https://www.r-inla.org>). These objects contain data to for the 'cgeneric' interface in 'INLA', enabling fast parallel computations. We implemented the spatial barrier model, see Bakka et. al. (2019) <doi:10.1016/j.spasta.2019.01.002>, and some of the spatio-temporal models proposed in Lindgren et. al. (2024) <https://raco.cat/index.php/SORT/article/view/428665>. Details are provided in the available vignettes and from the URL bellow.
Author: Elias Teixeira Krainski [cre, aut, cph] , Finn Lindgren [aut] , Haavard Rue’ [aut]
Maintainer: Elias Teixeira Krainski <elias.krainski@kaust.edu.sa>

This is a re-admission after prior archival of version 0.1.13 dated 2025-12-21

Diff between INLAspacetime versions 0.1.13 dated 2025-12-21 and 0.1.14 dated 2026-05-06

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 INLAspacetime-0.1.14/INLAspacetime/src/INLAspacetime.c                    |   63 +++++++++-
 INLAspacetime-0.1.14/INLAspacetime/src/INLAspacetime.h                    |   32 ++++-
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 INLAspacetime-0.1.14/INLAspacetime/src/cgeneric_ast.c                     |    4 
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 INLAspacetime-0.1.14/INLAspacetime/src/cgeneric_vrst.c                    |    4 
 31 files changed, 214 insertions(+), 172 deletions(-)

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2021-11-16 0.1.4
2021-06-21 0.1.3
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2018-07-19 0.1.1
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2019-05-03 0.4
2018-07-26 0.3
2018-01-16 0.2
2017-12-20 0.1

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2019-04-25 2.1
2018-11-09 2.0
2018-11-06 1.9
2018-10-26 1.8
2018-10-12 1.7
2018-03-28 1.5
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2020-07-31 1.5
2019-10-02 1.3
2019-09-23 1.2

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Package OmnibusFisher (with last version 1.0) was removed from CRAN

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2019-01-24 0.1.4
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2018-02-15 0.3.3
2017-12-21 0.2.2

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Package redatamx updated to version 1.3.0 with previous version 1.2.1 dated 2025-11-22

Title: R Interface to 'Redatam' Library
Description: Provides an API to work with 'Redatam' (see <https://redatam.org>) databases in both formats: 'RXDB' (new format) and 'DICX' (old format) and running 'Redatam' programs written in 'SPC' language. It's a wrapper around 'Redatam' core and provides functions to open/close a database (redatam_open()/redatam_close()), list entities and variables from the database (redatam_entities(), redatam_variables()) and execute a 'SPC' program and gets the results as data frames (redatam_query(), redatam_run()).
Author: Jaime Salvador [aut, cre] , CELADE [cph]
Maintainer: Jaime Salvador <jaime.salvador@ideasybits.com>

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Package quallmer updated to version 0.4.0 with previous version 0.3.0 dated 2026-02-16

Title: Qualitative Analysis with Large Language Models
Description: Tools for AI-assisted qualitative data coding using large language models ('LLMs') via the 'ellmer' package, supporting providers including 'OpenAI', 'Anthropic', 'Google', 'Azure', and local models via 'Ollama'. Provides a 'codebook'-based workflow for defining coding instructions and applying them to texts, images, and other data. Includes built-in 'codebooks' for common applications such as sentiment analysis and policy coding, and functions for creating custom 'codebooks' for specific research questions. Supports systematic replication across models and settings, computing inter-coder reliability statistics including Krippendorff's alpha (Krippendorff 2019, <doi:10.4135/9781071878781>) and Fleiss' kappa (Fleiss 1971, <doi:10.1037/h0031619>), as well as gold-standard validation metrics including accuracy, precision, recall, and F1 scores following Sokolova and Lapalme (2009, <doi:10.1016/j.ipm.2009.03.002>). Provides audit trail functionality for documenting coding [...truncated...]
Author: Seraphine F. Maerz [aut, cre] , Kenneth Benoit [aut]
Maintainer: Seraphine F. Maerz <seraphine.maerz@unimelb.edu.au>

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Package mgsub updated to version 2.0.0 with previous version 1.7.3 dated 2021-07-28

Title: Safe, Multiple, Simultaneous String Substitution
Description: Designed to enable simultaneous substitution in strings in a safe fashion. Safe means it does not rely on placeholders (which can cause errors in same length matches).
Author: Mark Ewing [aut, cre]
Maintainer: Mark Ewing <b.mark.ewing@gmail.com>

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Package MazamaCoreUtils updated to version 0.6.2 with previous version 0.6.0 dated 2026-01-12

Title: Utility Functions for Production R Code
Description: A suite of utility functions providing functionality commonly needed for production level projects such as logging, error handling, cache management and date-time parsing. Functions for date-time parsing and formatting require that time zones be specified explicitly, avoiding a common source of error when working with environmental time series.
Author: Jonathan Callahan [aut, cre], Eli Grosman [ctb], Spencer Pease [ctb], Thomas Bergamaschi [ctb]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

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Package GRIDCOPULA updated to version 1.1.1 with previous version 1.1.0 dated 2025-09-13

Title: Bivariate Copula Functions Based on Regular Grid
Description: Estimates grid type bivariate copula functions, calculates some association measures and provides several copula graphics.
Author: Rogelio Salinas Gutierrez [aut, cre, cph] , Angelica Hernandez Quintero [aut, cph] , Pedro Abraham Montoya Calzada [aut, cph]
Maintainer: Rogelio Salinas Gutierrez <rsalinas@correo.uaa.mx>

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Package data.table updated to version 1.18.4 with previous version 1.18.2.1 dated 2026-01-27

Title: Extension of `data.frame`
Description: Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns, friendly and fast character-separated-value read/write. Offers a natural and flexible syntax, for faster development.
Author: Tyson Barrett [aut, cre] , Matt Dowle [aut], Arun Srinivasan [aut], Jan Gorecki [aut], Michael Chirico [aut] , Toby Hocking [aut] , Benjamin Schwendinger [aut] , Ivan Krylov [aut] , Pasha Stetsenko [ctb], Tom Short [ctb], Steve Lianoglou [ctb], Eduar [...truncated...]
Maintainer: Tyson Barrett <t.barrett88@gmail.com>

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Package CohortCharacteristics updated to version 1.1.3 with previous version 1.1.2 dated 2026-03-21

Title: Summarise and Visualise Characteristics of Patients in the OMOP CDM
Description: Summarise and visualise the characteristics of patients in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model (CDM).
Author: Marti Catala [aut, cre] , Yuchen Guo [aut] , Mike Du [ctb] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Nuria Mercade-Besora [aut] , Marta Alcalde [aut]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package BayesTools updated to version 0.3.0 with previous version 0.2.23 dated 2025-12-08

Title: Tools for Bayesian Analyses
Description: Provides tools for conducting Bayesian analyses and Bayesian model averaging (Kass and Raftery, 1995, <doi:10.1080/01621459.1995.10476572>, Hoeting et al., 1999, <doi:10.1214/ss/1009212519>). The package contains functions for creating a wide range of prior distribution objects, mixing posterior samples from 'JAGS' and 'Stan' models, plotting posterior distributions, and etc... The tools for working with prior distribution span from visualization, generating 'JAGS' and 'bridgesampling' syntax to basic functions such as rng, quantile, and distribution functions.
Author: Frantisek Bartos [aut, cre]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

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Permanent link

Tue, 05 May 2026

Package daltoolboxdp updated to version 1.2.767 with previous version 1.2.747 dated 2026-03-10

Title: Deep Python Extensions for 'daltoolbox'
Description: Extends 'daltoolbox' with Python-backed components for deep learning, scikit-learn classification, and time-series forecasting through 'reticulate'. The package provides objects that follow the 'daltoolbox' architecture while delegating model creation, fitting, encoding, and prediction to Python libraries such as 'torch' and 'scikit-learn'. In the package name, 'dp' stands for 'Deep Python'. The overall workflow is inspired by the Experiment Lines approach described in Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_20>.
Author: Eduardo Ogasawara [aut, ths, cre] , Diego Salles [aut], Janio Lima [aut], Lucas Tavares [aut], Eduardo Bezerra [ctb], CEFET/RJ [cph]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

Diff between daltoolboxdp versions 1.2.747 dated 2026-03-10 and 1.2.767 dated 2026-05-05

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More information about daltoolboxdp at CRAN
Permanent link

Package piar updated to version 0.9.0 with previous version 0.8.3 dated 2025-09-17

Title: Price Index Aggregation
Description: Most price indexes are made with a two-step procedure, where period-over-period elementary indexes are first calculated for a collection of elementary aggregates at each point in time, and then aggregated according to a price index aggregation structure. These indexes can then be chained together to form a time series that gives the evolution of prices with respect to a fixed base period. This package contains a collection of functions that revolve around this work flow, making it easy to build standard price indexes, and implement the methods described by Balk (2008, <doi:10.1017/CBO9780511720758>), von der Lippe (2007, <doi:10.3726/978-3-653-01120-3>), and the CPI manual (2020, <doi:10.5089/9781484354841.069>) for bilateral price indexes.
Author: Steve Martin [aut, cre, cph]
Maintainer: Steve Martin <marberts@protonmail.com>

Diff between piar versions 0.8.3 dated 2025-09-17 and 0.9.0 dated 2026-05-05

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More information about piar at CRAN
Permanent link

Package EDIutils updated to version 2.1.0 with previous version 2.0.0 dated 2026-01-09

Title: An API Client for the Environmental Data Initiative Repository
Description: A client for the Environmental Data Initiative repository REST API. The 'EDI' data repository <https://portal.edirepository.org/nis/home.jsp> is for publication and reuse of ecological data with emphasis on metadata accuracy and completeness. It is built upon the 'PASTA+' software stack <https://pastaplus-core.readthedocs.io/en/latest/index.html#> and was developed in collaboration with the US 'LTER' Network <https://lternet.edu/>. 'EDIutils' includes functions to search and access existing data, evaluate and upload new data, and assist other data management tasks common to repository users.
Author: Colin Smith [aut, cre] , Corinna Gries [ctb] , Jasmine Lai [rev] , Rodrigo Pires [rev]
Maintainer: Colin Smith <colin.smith@wisc.edu>

Diff between EDIutils versions 2.0.0 dated 2026-01-09 and 2.1.0 dated 2026-05-05

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Permanent link

Package taxodist updated to version 0.3.0 with previous version 0.2.0 dated 2026-04-21

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

Diff between taxodist versions 0.2.0 dated 2026-04-21 and 0.3.0 dated 2026-05-05

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Permanent link

Package rworkflows updated to version 1.0.12 with previous version 1.0.11 dated 2026-03-26

Title: Test, Document, Containerise, and Deploy R Packages
Description: Reproducibility is essential to the progress of research, yet achieving it remains elusive even in computational fields. Continuous Integration (CI) platforms offer a powerful way to launch automated workflows to check and document code, but often require considerable time, effort, and technical expertise to setup. We therefore developed the rworkflows suite to make robust CI workflows easy and freely accessible to all R package developers. rworkflows consists of 1) a CRAN/Bioconductor-compatible R package template, 2) an R package to quickly implement a standardised workflow, and 3) a centrally maintained GitHub Action.
Author: Brian Schilder [aut] , Alan Murphy [aut, ctb] , Hiranyamaya Dash [ctb, cre] , Nathan Skene [aut]
Maintainer: Hiranyamaya (Hiru) Dash <hdash.work@gmail.com>

Diff between rworkflows versions 1.0.11 dated 2026-03-26 and 1.0.12 dated 2026-05-05

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More information about rworkflows at CRAN
Permanent link

Package rbiodatacr updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-29

Title: R Client for the BIODATACR Biodiversity Data Platform of Costa Rica
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.
Author: Manuel Spinola [aut, cre]
Maintainer: Manuel Spinola <mspinola10@gmail.com>

Diff between rbiodatacr versions 0.1.0 dated 2026-04-29 and 0.1.1 dated 2026-05-05

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More information about rbiodatacr at CRAN
Permanent link

New package vegetablesSriLanka with initial version 1.1.0
Package: vegetablesSriLanka
Title: Daily Vegetable Prices of Sri Lanka
Version: 1.1.0
Description: Provides retail and wholesale vegetable price data from two major market hubs in Sri Lanka, Dambulla and Pettah. Includes tools for analyzing, visualizing, and comparing vegetable prices across markets.
Maintainer: Thiyanga S. Talagala <ttalagala@sjp.ac.lk>
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: tsibble, dplyr, naniar, visdat, ggplot2
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-05-03 08:53:13 UTC; DELL
Author: Thiyanga S. Talagala [aut, cre] , Thisuri Jayarathne [aut] , Priyanga Dilini Talagala [aut]
Repository: CRAN
Date/Publication: 2026-05-05 19:20:02 UTC

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Package Spower updated to version 0.6.2 with previous version 0.6 dated 2026-02-13

Title: Power Analyses using Monte Carlo Simulations
Description: Provides a general purpose simulation-based power analysis API for routine and customized simulation experimental designs. The package focuses exclusively on Monte Carlo simulation experiment variants of (expected) prospective power analyses, criterion analyses, compromise analyses, sensitivity analyses, and a priori/post-hoc analyses. The default simulation experiment functions defined within the package provide stochastic variants of the power analysis subroutines in G*Power 3.1 (Faul, Erdfelder, Buchner, and Lang, 2009) <doi:10.3758/brm.41.4.1149>, along with various other parametric and non-parametric power analysis applications (e.g., mediation analyses) and support for Bayesian power analysis by way of Bayes factors or posterior probability evaluations. Additional functions for building empirical power curves, reanalyzing simulation information, and for increasing the precision of the resulting power estimates are also included, each of which utilize similar API structures. [...truncated...]
Author: Phil Chalmers [aut, cre]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

Diff between Spower versions 0.6 dated 2026-02-13 and 0.6.2 dated 2026-05-05

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New package NonlinearDiD with initial version 0.1.0
Package: NonlinearDiD
Title: Staggered Difference-in-Differences with Nonlinear Outcomes
Version: 0.1.0
Description: Implements difference-in-differences estimators for staggered treatment adoption with binary, count, and other nonlinear outcomes. Extends Callaway and Sant'Anna (2021) <doi:10.1016/j.jeconom.2020.12.001> to handle the fundamental identification challenges that arise with nonlinear outcome models (logit, probit, Poisson) in heterogeneous treatment timing designs. Provides group-time average treatment effects on the treated (ATT), aggregation schemes, and pre-treatment parallel trends tests appropriate for nonlinear settings. Methods include doubly-robust semiparametric estimators, nonparametric bounds, and an odds-ratio DiD approach for binary outcomes. Methods extend Callaway and Sant'Anna (2021) <doi:10.1016/j.jeconom.2020.12.001>, Roth and Sant'Anna (2023) <doi:10.3982/ECTA19255>, and Wooldridge (2023) <doi:10.1093/ectj/utad016>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, utils, MASS, sandwich, lmtest, ggplot2, Rcpp (>= 1.0.0)
LinkingTo: Rcpp
Suggests: did, dplyr, knitr, rmarkdown, testthat (>= 3.0.0), covr
VignetteBuilder: knitr
URL: https://github.com/causalfragility-lab/NonlinearDiD
BugReports: https://github.com/causalfragility-lab/NonlinearDiD/issues
NeedsCompilation: yes
Packaged: 2026-05-03 16:03:35 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-05-05 19:30:02 UTC

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Package LFApp updated to version 1.4.2 with previous version 1.4.1 dated 2024-05-27

Title: Shiny Apps for Lateral Flow Assays
Description: Shiny apps for the quantitative analysis of images from lateral flow assays (LFAs). The images are segmented and background corrected and color intensities are extracted. The apps can be used to import and export intensity data and to calibrate LFAs by means of linear, loess, or gam models. The calibration models can further be saved and applied to intensity data from new images for determining concentrations.
Author: Filip Paskali [aut, cre] , Weronika Schary [aut] , Matthias Kohl [aut]
Maintainer: Filip Paskali <Filip.Paskali@gmail.com>

Diff between LFApp versions 1.4.1 dated 2024-05-27 and 1.4.2 dated 2026-05-05

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Package examly updated to version 0.3 with previous version 0.2.0 dated 2025-12-15

Title: Statistical Metrics and Reporting Tool
Description: A 'Shiny'-based toolkit for item/test analysis. It is designed for multiple-choice, true-false, and open-ended questions. The toolkit is usable with datasets in 1-0 or other formats. Key analyses include difficulty, discrimination, response-option analysis, and reports. The classical test theory methods used are described in Ebel and Frisbie (1991, ISBN:978-0132892314).
Author: Ahmet Caliskan [aut, cre], Abdullah Faruk Kilic [aut]
Maintainer: Ahmet Caliskan <ahmetcaliskan1987@gmail.com>

Diff between examly versions 0.2.0 dated 2025-12-15 and 0.3 dated 2026-05-05

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New package emln with initial version 1.1.0
Package: emln
Title: Organize, Handle, and Explore Ecological Multilayer Networks
Version: 1.1.0
Date: 2026-04-20
URL: https://emln.ecomplab.com/
BugReports: https://github.com/Ecological-Complexity-Lab/emln/issues
Description: Data and analysis of ecological multilayer networks, including standardization of data structures and functions to convert between them. Includes an interactive multilayer network visualizer (beta, paper forthcoming), and a collection of 78 empirical ecological multilayer network datasets. This work was supported by research grant ISF (Israel Science Foundation) 1281/20 to Shai Pilosof. Noa Frydman (2023) <doi:10.1111/2041-210X.14225>.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.1.0)
Imports: magrittr, stringr, igraph, tibble, dplyr, purrr, tidyr, Matrix, DT, hablar, rlang
Suggests: bipartite, httpuv, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-03 12:56:17 UTC; geutgalai
Author: Noa Frydman [aut], Shai Pilosof [aut, fnd], Shirly Freilikhman [aut], Geut Galai [cre]
Maintainer: Geut Galai <geutg@post.bgu.ac.il>
Repository: CRAN
Date/Publication: 2026-05-05 19:20:12 UTC

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New package rlmstudio with initial version 0.2.2
Package: rlmstudio
Title: Access and Control LM Studio
Version: 0.2.2
Description: A community-maintained 'R' wrapper for the 'LM Studio' command line interface and API. Provides functions to manage the local daemon and server, download and load models, and interact with Large Language Models (LLMs).
License: MIT + file LICENSE
URL: https://jmgirard.github.io/rlmstudio/, https://github.com/jmgirard/rlmstudio
BugReports: https://github.com/jmgirard/rlmstudio/issues
Depends: R (>= 4.1.0)
Imports: cli, httr2, jsonlite, processx, utils
Suggests: httptest2, knitr, mockery, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-05-02 18:24:44 UTC; jmgirard
Author: Jeffrey Girard [aut, cph, cre]
Maintainer: Jeffrey Girard <me@jmgirard.com>
Repository: CRAN
Date/Publication: 2026-05-05 18:30:02 UTC

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New package reems with initial version 0.1.0
Package: reems
Title: Estimating Effective Migration Surfaces from Single Nucleotide Polymorphism Data
Version: 0.1.0
Description: Wrapper and plotting utilities for the spatial population genetics tool 'EEMS' (Estimated Effective Migration Surfaces) for SNP (Single Nucleotide Polymorphism) data, originally provided as a command-line tool written in 'C++' together with an accompanying 'R' package for plotting the output of the 'EEMS' tool itself (<https://github.com/dipetkov/eems/>). There are four main motivations for offering this to 'R' users as a package. Firstly, to remove the installation and configuration burden for the 'EEMS' command-line tool, which relies on manually installed 'Boost' and 'Eigen' system libraries and configuring their location; secondly, to streamline the workflow by having a singe environment (the 'R' system) for the entire analysis rather than a file-based command-line executable whose output files are then to be imported and analysed by a separate 'R' script; thirdly, to make the input formats compatible with other, 'R'-based spatial population genetics tools such as the 'ConStr [...truncated...]
License: GPL-2
Encoding: UTF-8
LinkingTo: BH (>= 1.76.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.9.1)
Imports: Rcpp, methods, raster (>= 2.4-15), sp (>= 1.1-1), sf, stats (>= 3.3.2), utils (>= 3.3.2)
Suggests: future, future.apply, Matrix (>= 1.2.7.1), RColorBrewer (>= 1.1), deldir (>= 0.1), dichromat, rworldmap (>= 1.3), rworldxtra (>= 1.01), knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
LazyData: true
VignetteBuilder: knitr
URL: https://codeberg.org/felix_weitkaemper/reems
BugReports: https://codeberg.org/felix_weitkaemper/reems/issues
NeedsCompilation: yes
Packaged: 2026-05-02 10:18:33 UTC; weitkaemper
Author: Felix Weitkaemper [aut, cre, cph] , Desislava Petkova [cph]
Maintainer: Felix Weitkaemper <felix.weitkaemper@german-uds.de>
Repository: CRAN
Date/Publication: 2026-05-05 18:20:02 UTC

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New package rdstagger with initial version 0.1.0
Package: rdstagger
Title: Staggered Regression Discontinuity with Network Interference
Version: 0.1.0
Description: Implements a unified framework combining staggered difference-in-differences with regression discontinuity designs and network interference. Extends Callaway and Sant'Anna (2021) <doi:10.1016/j.jeconom.2020.12.001> to settings where treatment assignment is determined by a running variable crossing a cutoff, adoption timing is heterogeneous across units, and spillover effects operate through a known network structure. Provides group-time average treatment effects (direct and spillover), aggregation schemes, bandwidth selection, and pre-treatment falsification tests.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, sandwich, ggplot2, rdrobust,
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, dplyr, covr
VignetteBuilder: knitr
URL: https://github.com/causalfragility-lab/rdstagger
BugReports: https://github.com/causalfragility-lab/rdstagger/issues
NeedsCompilation: no
Packaged: 2026-05-02 22:28:37 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-05-05 18:50:02 UTC

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New package precviasBR with initial version 0.1.0
Package: precviasBR
Title: Spatial Data of Road Precariousness in Brazil
Version: 0.1.0
Description: Fornece acesso eficiente à malha espacial de precariedade viária brasileira. O pacote realiza o download em cache e a leitura otimizada (via Apache Arrow) de arquivos Parquet particionados, contendo o cruzamento de variáveis de infraestrutura do Entorno do Censo Demográfico 2022 (IBGE) com a malha viária aberta do Overture Maps. [English] Provides efficient access to the spatial network of road precariousness in Brazil. The package performs cached downloads and optimized reading (via Apache Arrow) of partitioned Parquet files. These files contain the intersection of infrastructure variables from the 2022 Demographic Census (IBGE) with the open street network from Overture Maps. Methodology and datasets are detailed in Passos (2026) <doi:10.5281/zenodo.19711448>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: arrow, dplyr, rlang
Suggests: sf
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-05-02 01:13:20 UTC; ipassos
Author: Iara Passos [aut, cre]
Maintainer: Iara Passos <isteps.data@protonmail.com>
Repository: CRAN
Date/Publication: 2026-05-05 18:20:08 UTC

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New package metrosp with initial version 1.0.0
Package: metrosp
Title: 'São Paulo' Metro Passenger Demand Data
Version: 1.0.0
Description: Provides passenger demand data for the 'São Paulo' metro system, covering 2012 to 2025. Datasets include monthly passenger entries and transported counts by line, average weekday station entries, daily station entries, and spatial geometries for metro and commuter train lines and stations.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 3.5.0)
Suggests: dplyr, ggplot2, knitr, quarto, rmarkdown, sf, testthat (>= 3.0.0)
URL: https://github.com/viniciusoike/metrosp, https://viniciusoike.github.io/metrosp/
BugReports: https://github.com/viniciusoike/metrosp/issues
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2026-05-03 01:36:22 UTC; viniciusreginatto
Author: Vinicius Oike [aut, cre]
Maintainer: Vinicius Oike <viniciusoike@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-05 19:00:02 UTC

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New package manifesto with initial version 0.0.2
Package: manifesto
Title: Create Project Manifest Files
Version: 0.0.2
Description: Provides 'TOML' representations of packages needed that must be installed to run a project. Includes functions to specify detailed installation functions, validate files, and to use a given file as the requirements for a project. Handles package installations, when necessary, via 'pak'.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, jsonlite, pak, tomledit
URL: https://github.com/christopherkenny/manifesto, http://christophertkenny.com/manifesto/
BugReports: https://github.com/christopherkenny/manifesto/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 4.2.0)
NeedsCompilation: no
Packaged: 2026-05-01 16:33:21 UTC; chris
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>
Repository: CRAN
Date/Publication: 2026-05-05 18:10:02 UTC

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New package DPQBootstrap with initial version 0.1.1
Package: DPQBootstrap
Title: Dirichlet Quantile Bootstrap for Time Series
Version: 0.1.1
Maintainer: Ahmed Hamimes <ahmed.hamimes@univ-constantine3.dz>
Description: Provides a Dirichlet-based quantile bootstrap method for time series with rank-preserving reconstruction and averaged bootstrap samples. The package generates bootstrap trajectories, a mean bootstrap series, and uncertainty intervals for time series resampling.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, rlang
Suggests: ggplot2
NeedsCompilation: no
Packaged: 2026-05-01 15:52:54 UTC; c63 AMG
Author: Ahmed Hamimes [aut, cre]
Repository: CRAN
Date/Publication: 2026-05-05 18:10:07 UTC

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New package discoCVI with initial version 0.1.1
Package: discoCVI
Title: Implementation of the DISCO Metric for Internal Clustering Evaluation
Version: 0.1.1
Description: Implementation of the DISCO (Density-based Internal Score for Clusterings with nOise) metric, a cluster validity index for evaluating density-based clustering results without ground truth labels. DISCO is the first index to explicitly assess the quality of noise point assignments in addition to cluster quality. It uses density-connectivity distance derived from a minimum spanning tree of the mutual-reachability graph, providing interpretable, bounded scores in [-1, 1]. Higher scores indicate better clustering. Based on Beer et al. (2025) <doi:10.48550/arXiv.2503.00127>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 3.6.0)
Imports: FNN, stats
Suggests: dbscan, testthat (>= 3.0.0)
URL: https://github.com/aminentezari/discoCVI
BugReports: https://github.com/aminentezari/discoCVI/issues
NeedsCompilation: no
Packaged: 2026-05-02 08:55:19 UTC; aminentezari
Author: Amin Entezari [aut, cre] , Davide Chicco [ctb] , Anna Beer [aut] ), Lena Krieger [aut] ), Pascal Weber [aut] )
Maintainer: Amin Entezari <amin_entezari@outlook.com>
Repository: CRAN
Date/Publication: 2026-05-05 18:20:13 UTC

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New package dcce with initial version 0.4.2
Package: dcce
Title: Dynamic Common Correlated Effects Estimation for Panel Data
Version: 0.4.2
Description: Estimates heterogeneous coefficient models for large panels with cross-sectional dependence. Implements the Mean Group (MG) estimator of Pesaran and Smith (1995) <doi:10.1016/0304-4076(94)01644-F>, the Common Correlated Effects (CCE) and Dynamic CCE (DCCE) estimators of Pesaran (2006) <doi:10.1111/j.1468-0262.2006.00692.x> and Chudik and Pesaran (2015) <doi:10.1016/j.jeconom.2015.03.007>, the regularized CCE of Juodis (2022), the Augmented Mean Group (AMG) of Eberhardt and Teal (2010), the Interactive Fixed Effects (IFE) estimator of Bai (2009) <doi:10.3982/ECTA6135>, and long-run estimators including Cross-Sectionally augmented Distributed Lag (CS-DL), Cross-Sectionally augmented Autoregressive Distributed Lag (CS-ARDL), and Pooled Mean Group (PMG) (Chudik et al. 2016; Shin et al. 1999). Also provides rolling-window estimation, high-dimensional fixed effect absorption, spatial CCE via user-supplied weight matrices, and structural break tests (Chow and sup-Wald) [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: stats, Matrix, collapse (>= 2.0.0), sandwich, generics, rlang (>= 1.1.0), cli (>= 3.0.0), tibble, Rcpp (>= 1.0.0)
LinkingTo: Rcpp, RcppArmadillo
Suggests: broom, ggplot2, lifecycle, plm, testthat (>= 3.0.0), knitr, rmarkdown, marginaleffects, parallel
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-05-02 12:00:44 UTC; musta
Author: Mustapha Wasseja [aut, cre]
Maintainer: Mustapha Wasseja <muswaseja@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-05 18:20:18 UTC

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New package arkhaia with initial version 0.5.5
Package: arkhaia
Title: Archaeological and Historical Analysis
Version: 0.5.5
Date: 2026-04-11
Description: Tools for quantitative analysis related to archaeological and historical problems for irregularly spaced time indexed observations, toward evaluating linear dependence and homogeneity over time. Methods include effect sizes for measuring homogeneity, simulation from a truncated Poisson distribution for random right-censoring of count data, and least-squares spectral analysis by lowest frequency iteration for model fitting. Collins-Elliott (2026) <https://volweb.utk.edu/~scolli46/sce_aqysuppl2026.pdf>.
License: GPL (>= 3)
Imports: Rcpp (>= 1.1.0), Rdpack, stats
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-05-01 15:00:50 UTC; archaeologus
Author: Stephen A. Collins-Elliott [aut, cre]
Maintainer: Stephen A. Collins-Elliott <sce@utk.edu>
Repository: CRAN
Date/Publication: 2026-05-05 18:00:02 UTC

More information about arkhaia at CRAN
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New package surveycore with initial version 0.8.3
Package: surveycore
Title: Core Survey Analysis Infrastructure
Version: 0.8.3
Description: Provides 'S7'-based infrastructure for survey analysis. Supports Taylor series, replicate weight, and two-phase designs following the methods in 'Lumley' (2004) <doi:10.18637/jss.v009.i08>. Includes design-based estimators such as means, frequencies, and regression models, with weighted 'polychoric' and 'polyserial' correlation following 'Mannan' (2025) <doi:10.2139/ssrn.6580480>. A metadata system automatically preserves 'haven'-style variable labels, value labels, and question-preface attributes through all operations. Uses a 'tidyselect' interface for design specification.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: S7 (>= 0.1.0), rlang (>= 1.0.0), tidyselect (>= 1.2.0), cli (>= 3.6.0), tibble (>= 3.1.0), dplyr (>= 1.1.0), marginaleffects (>= 0.18.0), pbivnorm (>= 0.6.0), stats, graphics
Suggests: testthat (>= 3.0.0), withr (>= 2.5.0), survey (>= 4.0), survival, srvyr (>= 1.0), haven (>= 2.5.0), lifecycle (>= 1.0.0), broom (>= 1.0.0), polycor (>= 0.8.0), jtools (>= 2.2.0), covr, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/JDenn0514/surveycore, https://jdenn0514.github.io/surveycore/
BugReports: https://github.com/JDenn0514/surveycore/issues
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2026-05-01 13:28:59 UTC; jacobdennen
Author: Jacob Dennen [aut, cre, cph] , Thomas Lumley [ctb, cph]
Maintainer: Jacob Dennen <jdenn0514@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-05 15:12:03 UTC

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Package scoper updated to version 1.5.0 with previous version 1.4.0 dated 2026-01-08

Title: Spectral Clustering-Based Method for Identifying B Cell Clones
Description: Provides a computational framework for identification of B cell clones from Adaptive Immune Receptor Repertoire sequencing (AIRR-Seq) data. Three main functions are included (identicalClones, hierarchicalClones, and spectralClones) that perform clustering among sequences of BCRs/IGs (B cell receptors/immunoglobulins) which share the same V gene, J gene and junction length. Nouri N and Kleinstein SH (2018) <doi: 10.1093/bioinformatics/bty235>. Nouri N and Kleinstein SH (2019) <doi: 10.1101/788620>. Gupta NT, et al. (2017) <doi: 10.4049/jimmunol.1601850>.
Author: Nima Nouri [aut], Edel Aron [ctb], Robert Bjornson [ctb], Gisela Gabernet [ctb], Cole Jensen [ctb], Huimin Lyu [ctb], Susanna Marquez [ctb, cre], Jason Vander Heiden [aut], Steven Kleinstein [aut, cph]
Maintainer: Susanna Marquez <susanna.marquez@yale.edu>

Diff between scoper versions 1.4.0 dated 2026-01-08 and 1.5.0 dated 2026-05-05

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New package rocvb with initial version 0.1.0
Package: rocvb
Title: ROC-Based Inference for Diagnostic Accuracy Under Verification Bias
Version: 0.1.0
Maintainer: Shirui Wang <wangshirui1021@gmail.com>
Description: Provides point estimates and confidence intervals for receiver operating characteristic (ROC)–based diagnostic accuracy metrics for tests and biomarkers subject to verification bias. Supported metrics include the Area Under the ROC Curve (AUC), the Youden index, and the sensitivity at a user‑specified specificity level for two‑class continuous tests under missing‑at‑random (MAR) disease verification. Point estimation follows Alonzo and Pepe (2005) <doi:10.1111/j.1467-9876.2005.00477.x>. Multiple types of confidence intervals are implemented and compared, including bootstrap‑based, Method of Variance Estimates Recovery (MOVER)–based, and empirical likelihood (EL)–based intervals; see Wang et al. (2025) <doi:10.1177/09622802251322989> and <https://github.com/swang1021/rocvb>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: emplik, ggplot2, grid, MASS, pROC, stats
Suggests: testthat (>= 3.0.0)
URL: https://github.com/swang1021/rocvb
BugReports: https://github.com/swang1021/rocvb/issues
NeedsCompilation: no
Packaged: 2026-05-01 09:22:20 UTC; Ray
Author: Shirui Wang [aut, cre]
Repository: CRAN
Date/Publication: 2026-05-05 15:06:10 UTC

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New package rgsrs with initial version 0.1.0
Package: rgsrs
Title: Query the FDA Global Substance Registration System (GSRS) API
Version: 0.1.0
Description: Provides functions to query the FDA Global Substance Registration System (GSRS) REST API (<https://gsrs.ncats.nih.gov/api/v1/>). Enables programmatic access to substance records, UNII identifiers, synonyms, external codes, and chemical structures for over 170,000 registered substances.
License: MIT + file LICENSE
URL: https://c1au6i0.github.io/rgsrs/, https://github.com/c1au6i0/rgsrs
BugReports: https://github.com/c1au6i0/rgsrs/issues
Depends: R (>= 4.1)
Imports: cli, httr2, janitor, pingr
Suggests: fs, openxlsx, spelling, testthat (>= 3.0.0), withr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-05-01 11:28:15 UTC; heverz
Author: Claudio Zanettini [aut, cre]
Maintainer: Claudio Zanettini <claudio.zanettini@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-05 15:08:24 UTC

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New package logStirling2 with initial version 0.2.0
Package: logStirling2
Title: Fast Stirling Numbers of the Second Kind
Version: 0.2.0
Description: Provides efficient tools for calculating Stirling numbers of the second kind and their logarithms. Includes an exact arbitrary-precision implementation using 'gmp' that avoids numerical cancellation, a fast C++ backend with internal caching for log-scale calculations, and Temme's asymptotic approximation for very large inputs.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: gmp, Rcpp
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0),
NeedsCompilation: yes
Packaged: 2026-05-01 13:38:40 UTC; jbloo
Author: Jon Blood [aut, cre]
Maintainer: Jon Blood <jblood94@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-05 15:26:37 UTC

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New package delaydiscount with initial version 0.0.1
Package: delaydiscount
Title: Fit Linearized Hyperbolic Model for Delay Discounting Curves
Version: 0.0.1
Description: Functions for estimating parameters and hyperparameters of the linearized hyperbolic model, and testing equality of hyperparameters.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, magrittr, rlang
Depends: R (>= 3.5)
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/davideh-vt/delaydiscount, https://davideh-vt.github.io/delaydiscount/
BugReports: https://github.com/davideh-vt/delaydiscount/issues
NeedsCompilation: no
Packaged: 2026-04-30 20:40:16 UTC; deh99
Author: David Hinds [aut, cre], Marco Ferreira [aut], Allison Tegge [ctb], Jeff Stein [ctb]
Maintainer: David Hinds <davideh@vt.edu>
Repository: CRAN
Date/Publication: 2026-05-05 15:22:35 UTC

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Package htrSPRanalysis (with last version 0.1.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2026-05-05 0.1.2
2024-08-26 0.1.0

Permanent link
Package weatherjoin updated to version 0.2.3 with previous version 0.2.2 dated 2026-02-04

Title: Join Gridded Weather Data to Event Tables
Description: High-level tools to attach gridded weather data from the NASA POWER Project to event-based datasets. The package plans efficient spatio-temporal API calls via the 'nasapower' R package, caches downloaded segments locally, and joins weather variables back to the input table using exact or rolling joins. This package is not affiliated with or endorsed by NASA.
Author: Przemek Dolowy [aut, cre]
Maintainer: Przemek Dolowy <phdolowy@gmail.com>

Diff between weatherjoin versions 0.2.2 dated 2026-02-04 and 0.2.3 dated 2026-05-05

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Package UCSCXenaShiny updated to version 2.2.1 with previous version 2.2.0 dated 2025-08-01

Title: Interactive Analysis of UCSC Xena Data
Description: Provides functions and a Shiny application for downloading, analyzing and visualizing datasets from UCSC Xena (<http://xena.ucsc.edu/>), which is a collection of UCSC-hosted public databases such as TCGA, ICGC, TARGET, GTEx, CCLE, and others.
Author: Shixiang Wang [aut, cre] , Shensuo Li [aut], Yi Xiong [aut] , Longfei Zhao [aut] , Kai Gu [aut] , Yin Li [aut], Fei Zhao [aut]
Maintainer: Shixiang Wang <w_shixiang@163.com>

Diff between UCSCXenaShiny versions 2.2.0 dated 2025-08-01 and 2.2.1 dated 2026-05-05

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Package tdigest readmission to version 0.4.3 with previous version 0.4.2 dated 2024-06-19

Title: Wicked Fast, Accurate Quantiles Using t-Digests
Description: The t-Digest construction algorithm, by Dunning, (2019) <doi:10.48550/arXiv.1902.04023>, uses a variant of 1-dimensional k-means clustering to produce a very compact data structure that allows accurate estimation of quantiles. This t-Digest data structure can be used to estimate quantiles, compute other rank statistics or even to estimate related measures like trimmed means. The advantage of the t-Digest over previous digests for this purpose is that the t-Digest handles data with full floating point resolution. The accuracy of quantile estimates produced by t-Digests can be orders of magnitude more accurate than those produced by previous digest algorithms. Methods are provided to create and update t-Digests and retrieve quantiles from the accumulated distributions.
Author: Bob Rudis [aut, cre] , Ted Dunning [aut] , Andrew Werner [aut]
Maintainer: Bob Rudis <bob@rud.is>

This is a re-admission after prior archival of version 0.4.2 dated 2024-06-19

Diff between tdigest versions 0.4.2 dated 2024-06-19 and 0.4.3 dated 2026-05-05

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New package mSigPlot with initial version 2.0.38
Package: mSigPlot
Title: Plotting Mutational Signatures and Mutational Spectra
Version: 2.0.38
Description: Plotting functions for mutational signatures and mutational spectra, including single base substitutions (SBS), doublet base substitutions (DBS), and small insertions and deletions (indels). Generates plots similar to those used previously in Alexandrov et al. (2020)<doi:10.1038/s41586-020-1943-3> and Rozen et al. (2026)<doi:10.5281/zenodo.18451842>.
License: GPL (>= 3)
URL: https://steverozen.github.io/mSigPlot/, https://github.com/steverozen/mSigPlot
BugReports: https://github.com/steverozen/mSigPlot/issues
Imports: Cairo, dplyr, ggplot2, ggrepel, gridExtra, patchwork, scales
Depends: R (>= 4.1.0)
Encoding: UTF-8
Suggests: knitr, pkgdown, rmarkdown, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-01 02:08:34 UTC; steve
Author: Steven Rozen [aut, cre]
Maintainer: Steven Rozen <steverozen@pm.me>
Repository: CRAN
Date/Publication: 2026-05-05 14:16:10 UTC

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Package llmcoder updated to version 1.2.0 with previous version 1.0.0 dated 2026-04-29

Title: LLM-Powered Code Generation, Error Fixing, and Chat for 'RStudio'
Description: An 'RStudio' addin that integrates large language model (LLM) assistance directly into the code-editing workflow. Features include: (1) generate R code from inline comments; (2) obtain LLM-assisted fixes for console errors; (3) insert plain-English explanations of selected code blocks; (4) a multi-turn Chat Panel with session-context awareness (loaded packages, global objects, source editor contents, console history). 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').
Author: Shiyang Zheng [aut, cre]
Maintainer: Shiyang Zheng <shiyang.zheng@nottingham.ac.uk>

Diff between llmcoder versions 1.0.0 dated 2026-04-29 and 1.2.0 dated 2026-05-05

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New package int3ract with initial version 1.0.7
Package: int3ract
Title: Plotting Two- and Three-Way Interactions
Version: 1.0.7
Description: Provides two- and three-way Johnson-Neyman-(Krause) plots for easier interpretation of interactions. It extends the classic framework of Johnson and Neyman (1936) and Johnson and Fay (1950) <doi:10.1007/BF02288864> to Bayesian models and three-way interactions. The functions have dedicated routines for classic lm()/glm() models, as well as 'lme4' models and 'RSiena' results. However, the package can also be used model agnostic and thus extends the availability of JN(K)-plots beyond what is currently available. A detailed introduction can be found in Krause (2026) <doi:10.48550/arXiv.2604.22051>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.4.0)
Imports: dplyr, tibble, tidyr, ggplot2, ggpattern, scales, lme4
Suggests: MCMCpack, RSiena
URL: https://github.com/RWKrause/int3ract
BugReports: https://github.com/RWKrause/int3ract/issues
NeedsCompilation: no
Packaged: 2026-04-30 20:01:34 UTC; rkr235
Author: Robert W. Krause [aut, cre, cph]
Maintainer: Robert W. Krause <robert.w.krause@mailbox.org>
Repository: CRAN
Date/Publication: 2026-05-05 14:06:18 UTC

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Package fHMM updated to version 1.4.3 with previous version 1.4.2 dated 2025-03-23

Title: Fitting Hidden Markov Models to Financial Data
Description: Fitting (hierarchical) hidden Markov models to financial data via maximum likelihood estimation. See Oelschläger, L. and Adam, T. "Detecting Bearish and Bullish Markets in Financial Time Series Using Hierarchical Hidden Markov Models" (2021, Statistical Modelling) <doi:10.1177/1471082X211034048> for a reference on the method. A user guide is provided by the accompanying software paper "fHMM: Hidden Markov Models for Financial Time Series in R", Oelschläger, L., Adam, T., and Michels, R. (2024, Journal of Statistical Software) <doi:10.18637/jss.v109.i09>.
Author: Lennart Oelschlaeger [aut, cre] , Timo Adam [aut] , Rouven Michels [aut]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

Diff between fHMM versions 1.4.2 dated 2025-03-23 and 1.4.3 dated 2026-05-05

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Package caugi updated to version 1.2.0 with previous version 1.1.0 dated 2026-03-20

Title: Causal Graph Interface
Description: Create, query, and modify causal graphs. 'caugi' (Causal Graph Interface) is a causality-first, high performance graph package that provides a simple interface to build, structure, and examine causal relationships.
Author: Frederik Fabricius-Bjerre [aut, cre, cph], Johan Larsson [aut] , Michael Sachs [aut] , Bjarke Hautop Kristensen [aut]
Maintainer: Frederik Fabricius-Bjerre <frederik@fabriciusbjerre.dk>

Diff between caugi versions 1.1.0 dated 2026-03-20 and 1.2.0 dated 2026-05-05

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 caugi-1.2.0/caugi/NEWS.md                                          |   36 
 caugi-1.2.0/caugi/R/adjustment.R                                   |   86 
 caugi-1.2.0/caugi/R/as_caugi.R                                     |   22 
 caugi-1.2.0/caugi/R/caugi.R                                        |   10 
 caugi-1.2.0/caugi/R/caugi_to.R                                     |    5 
 caugi-1.2.0/caugi/R/extendr-wrappers.R                             |   40 
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 caugi-1.2.0/caugi/R/queries.R                                      |  512 ----
 caugi-1.2.0/caugi/R/registry.R                                     |   42 
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 caugi-1.2.0/caugi/src/rust/src/graph/admg/msep.rs                  |  278 ++
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 caugi-1.2.0/caugi/tests/testthat/test-admg.R                       |   25 
 caugi-1.2.0/caugi/tests/testthat/test-as_caugi.R                   |    8 
 caugi-1.2.0/caugi/tests/testthat/test-builder-rust.R               |   87 
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More information about caugi at CRAN
Permanent link

New package BRCore with initial version 2.0.4
Package: BRCore
Title: Unified Framework for Identification and Ecological Interpretation of Microbial Data from Bioenergy Research Centers
Version: 2.0.4
Description: A unified framework for identification and ecological interpretation of core microbiomes across time and space, enhancing robustness and reproducibility in microbiome data analysis. BRCore implements the workflow proposed by Shade and Stopnisek (2019) and incorporates additional rarefaction steps. The proposed workflow aims to identify persistent microbiomes using abundance-occupancy distributions and neutral community model fitting. For more details on abundance-occupancy distributions see Shade A, Stopnisek N (2019) <doi:10.1016/j.mib.2019.09.008>, for neutral models, see Sloan et al. (2006) <doi:10.1111/j.1462-2920.2005.00956.x> and Burns et al. (2015) <doi:10.1038/ismej.2015.142>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: cli (>= 3.6.5), dplyr (>= 1.1.4), ggplot2 (>= 4.0.1), ggpubr (>= 0.6.2), ggrepel (>= 0.9.6), Hmisc (>= 5.2.4), magrittr (>= 2.0.4), minpack.lm (>= 1.2.4), phyloseq (>= 1.54.0), rlang (>= 1.1.6), scales (>= 1.4.0), stats4 (>= 4.5.2), tibble (>= 3.3.0), tidyr (>= 1.3.1), vegan (>= 2.7.2)
Suggests: devtools (>= 2.4.5), here (>= 1.0.1), knitr (>= 1.50), rmarkdown (>= 2.30), testthat (>= 3.2.3), tidyverse (>= 2.0.0), viridis (>= 0.6.5)
Depends: R (>= 4.4)
LazyData: true
VignetteBuilder: knitr
URL: https://github.com/germs-lab/BRCore, https://www.germslab.org/BRCore/
BugReports: https://github.com/germs-lab/BRCore/issues
NeedsCompilation: no
Packaged: 2026-04-30 21:34:14 UTC; baponte
Author: Bolivar Aponte Rolon [aut, cre] , Gian Maria Niccolo Benucci [aut] , Brandon Kristy [aut] , Ashley Shade [aut] , Nejc Stopnisek [aut] , Adina Howe [aut] , Center for Advanced Bioenergy and Bioproducts Innovation [cph, fnd], Great Lakes Bioenergy Rese [...truncated...]
Maintainer: Bolivar Aponte Rolon <bolaponte@pm.me>
Repository: CRAN
Date/Publication: 2026-05-05 14:21:05 UTC

More information about BRCore at CRAN
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Package BoundIRT updated to version 0.5.0 with previous version 0.0.1 dated 2026-04-20

Title: Fit Bounded Continuous Item Response Theory Models to Data
Description: Bounded continuous data are encountered in many areas of test application. Examples include visual analogue scales used in the measurement of personality, mood, depression, and quality of life; item response times from tests with item deadlines; confidence ratings; and pain intensity ratings. Using this package, item response theory (IRT) models suitable for bounded continuous item scores can be fitted to data within a Bayesian framework. The package draws on posterior sampling facilities provided by R-package 'rstan' (Stan Development Team, 2025)<https://mc-stan.org/>. Available models include the Beta IRT model by Noel and Dauvier (2007)<doi:10.1177/0146621605287691>, the continuous response model by Samejima (1973)<doi:10.1007/BF03372160>, the unbounded normal model by Mellenbergh (1994)<doi:10.1207/s15327906mbr2903_2>, and the Simplex IRT model by Flores et al. (2020)<doi:10.1007/978-3-030-43469-4_8>. All models can be fitted with or without zero-one i [...truncated...]
Author: Dylan Molenaar [aut, cre]
Maintainer: Dylan Molenaar <d.molenaar@uva.nl>

Diff between BoundIRT versions 0.0.1 dated 2026-04-20 and 0.5.0 dated 2026-05-05

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 45 files changed, 2482 insertions(+), 2050 deletions(-)

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New package statease with initial version 1.0.0
Package: statease
Title: Simplified Statistical Analysis with Plain-English Interpretation
Version: 1.0.0
Description: A toolkit for common statistical analyses including descriptive statistics, Student's t-test (one-sample, independent, and paired), and one-way Analysis of Variance (ANOVA). Each function automatically interprets results in plain English, reporting effect sizes (Cohen's d, eta-squared), confidence intervals, and p-value interpretations. Post-hoc Tukey Honestly Significant Difference (HSD) tests are automatically applied following significant ANOVA results. A master function automatically detects the appropriate test based on the structure of the input data. Methods are based on Cohen, J. (1988) <doi:10.4324/9780203771587>, Tukey, J. W. (1949) <doi:10.2307/3001913>, and Shapiro and Wilk (1965) <doi:10.2307/2333709>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/DevWebWacky/statease
BugReports: https://github.com/DevWebWacky/statease/issues
NeedsCompilation: no
Packaged: 2026-04-30 17:03:09 UTC; Wacky
Author: Uwakmfon Paul [aut, cre, cph]
Maintainer: Uwakmfon Paul <uwakmfon31@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-05 13:50:02 UTC

More information about statease at CRAN
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Package mapsf updated to version 1.2.0 with previous version 1.1.0 dated 2026-01-10

Title: Thematic Cartography
Description: Create and integrate thematic maps in your workflow. This package helps to design various cartographic representations such as proportional symbols, choropleth or typology maps. It also offers several functions to display layout elements that improve the graphic presentation of maps (e.g. scale bar, north arrow, title, labels). 'mapsf' maps 'sf' objects on 'base' graphics.
Author: Timothee Giraud [cre, aut] , Hugues Pecout [ctb] , Ronan Ysebaert [ctb] , Elina Marveaux [ctb] , Ian Fellows [cph] , Jim Lemon [cph] , Danielle Navarro [cph]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

Diff between mapsf versions 1.1.0 dated 2026-01-10 and 1.2.0 dated 2026-05-05

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Package GitStats updated to version 2.5.2 with previous version 2.5.1 dated 2026-04-23

Title: Standardized Git Repository Data
Description: Obtain standardized data from multiple 'Git' services, including 'GitHub' and 'GitLab'. Designed to be 'Git' service-agnostic, this package assists teams with activities spread across various 'Git' platforms by providing a unified way to access repository data.
Author: Maciej Banas [aut, cre], Kamil Koziej [aut], Karolina Marcinkowska [aut], Matt Secrest [aut]
Maintainer: Maciej Banas <banasmaciek@gmail.com>

Diff between GitStats versions 2.5.1 dated 2026-04-23 and 2.5.2 dated 2026-05-05

 DESCRIPTION                                  |    6 -
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 R/EngineRest.R                               |   60 +++++++++++
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 tests/testthat/_snaps/00-get_orgs-GitLab.md  |   20 +--
 tests/testthat/_snaps/01-get_repos-GitHub.md |    7 +
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 23 files changed, 492 insertions(+), 370 deletions(-)

More information about GitStats at CRAN
Permanent link

New package fcmfd with initial version 0.1.0
Package: fcmfd
Title: Fuzzy C-Means for Fuzzy Data
Version: 0.1.0
Description: Implements a fuzzy clustering approach for ordinal Likert-type data using triangular fuzzy numbers (TFNs). The package extends the classical fuzzy C-means algorithm to better handle uncertainty in ordinal scales and includes automatic selection of the number of clusters using the Xie-Beni validity index. References: Coppi, R., D'Urso, P., and Giordani, P. (2012), Fuzzy and possibilistic clustering for fuzzy data, <doi:10.1016/j.csda.2010.09.013>. Xie, X. L. and Beni, G. (1991), A validity measure for fuzzy clustering, <doi:10.1109/34.85677>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: stats, graphics
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-30 17:50:24 UTC; pepeo
Author: Jose Ortigas [aut, cre]
Maintainer: Jose Ortigas <jose.ortigas@unmsm.edu.pe>
Repository: CRAN
Date/Publication: 2026-05-05 13:54:10 UTC

More information about fcmfd at CRAN
Permanent link

Package fastglm updated to version 0.1.0 with previous version 0.0.4 dated 2025-12-16

Title: Fast and Stable Fitting of Generalized Linear Models using 'RcppEigen'
Description: Fits generalized linear models efficiently using 'RcppEigen'. The iteratively reweighted least squares implementation utilizes the step-halving approach of Marschner (2011) <doi:10.32614/RJ-2011-012> to help safeguard against convergence issues.
Author: Jared Huling [aut, cre], Douglas Bates [cph], Dirk Eddelbuettel [cph], Romain Francois [cph], Yixuan Qiu [cph], Noah Greifer [ctb]
Maintainer: Jared Huling <jaredhuling@gmail.com>

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Package fields updated to version 17.3 with previous version 17.1 dated 2025-09-08

Title: Tools for Spatial Data
Description: For curve, surface and function fitting with an emphasis on splines, spatial data, geostatistics, and spatial statistics. The major methods include cubic, and thin plate splines, Kriging, and compactly supported covariance functions for large data sets. The splines and Kriging methods are supported by functions that can determine the smoothing parameter (nugget and sill variance) and other covariance function parameters by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to use function that also estimates the correlation scale (range parameter). A major feature is that any covariance function implemented in R and following a simple format can be used for spatial prediction. There are also many useful functions for plotting and working with spatial data as images. This package also contains an implementation of sparse matrix methods for large spatial data sets and currently requires the sparse matrix (spam) package. Use help(fields) to get star [...truncated...]
Author: Douglas Nychka [aut, cre], Reinhard Furrer [aut], John Paige [aut], Stephan Sain [aut], Florian Gerber [aut], Matthew Iverson [aut], Rider Johnson [aut]
Maintainer: Douglas Nychka <douglasnychka@gmail.com>

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Permanent link

Package VetResearchLMM readmission to version 1.1.0 with previous version 1.0.0 dated 2018-04-22

Title: Linear Mixed Models - An Introduction with Applications in Veterinary Research
Description: R Codes and Datasets for Duchateau, L. and Janssen, P. and Rowlands, G. J. (1998). Linear Mixed Models. An Introduction with applications in Veterinary Research. International Livestock Research Institute.
Author: Muhammad Yaseen [aut, cre] , Luc Duchateau [ctb], Paul Janssen [ctb], John Rowlands [ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

This is a re-admission after prior archival of version 1.0.0 dated 2018-04-22

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Package tsg updated to version 0.1.4 with previous version 0.1.3 dated 2026-02-28

Title: Generate Publication-Ready Statistical Tables
Description: A collection of functions for generating frequency tables and cross-tabulations of categorical variables. The resulting tables can be exported to various formats (Excel, PDF, HTML, etc.) with extensive formatting and layout customization options.
Author: Bhas Abdulsamad [aut, cre, cph]
Maintainer: Bhas Abdulsamad <aeabdulsamad@gmail.com>

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Package tidychangepoint readmission to version 1.0.5 with previous version 1.0.4 dated 2026-02-05

Title: A Tidy Framework for Changepoint Detection Analysis
Description: Changepoint detection algorithms for R are widespread but have different interfaces and reporting conventions. This makes the comparative analysis of results difficult. We solve this problem by providing a tidy, unified interface for several different changepoint detection algorithms. We also provide consistent numerical and graphical reporting leveraging the 'broom' and 'ggplot2' packages.
Author: Benjamin S. Baumer [aut, cre, cph] , Biviana Marcela Suarez Sierra [aut] , Arrigo Coen [aut] , Carlos A. Taimal [aut] , Xueheng Shi [ctb]
Maintainer: Benjamin S. Baumer <ben.baumer@gmail.com>

This is a re-admission after prior archival of version 1.0.4 dated 2026-02-05

Diff between tidychangepoint versions 1.0.4 dated 2026-02-05 and 1.0.5 dated 2026-05-05

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Package mdscore readmission to version 0.1-4 with previous version 0.1-3 dated 2017-02-16

Title: Improved Score Tests for Generalized Linear Models
Description: A set of functions to obtain modified score test for generalized linear models.
Author: Iago Gine-Vazquez [cre] , Antonio Hermes M. da Silva-Junior [aut], Damiao N. da Silva [aut], Silvia L. P. Ferrari [ctb]
Maintainer: Iago Gine-Vazquez <iago.gin-vaz@protonmail.com>

This is a re-admission after prior archival of version 0.1-3 dated 2017-02-16

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Package irtsim updated to version 0.1.2 with previous version 0.1.1 dated 2026-04-23

Title: Monte Carlo Simulation-Based Sample-Size Planning for Item Response Theory
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.
Author: Stephen Ward [aut, cre]
Maintainer: Stephen Ward <stephen_ward+irtsim@abhome.co>

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Package dress.graph updated to version 0.8.3 with previous version 0.6.2 dated 2026-03-23

Title: DRESS - A Continuous Framework for Structural Graph Refinement
Description: DRESS is a deterministic, parameter-free framework for continuous structural graph refinement. It iterates a nonlinear dynamical system on real-valued edge similarities and produces a graph fingerprint as a sorted edge-value vector once the iteration reaches a prescribed stopping criterion. The resulting fingerprint is self-contained, isomorphism-invariant by construction, reproducible across vertex labelings under the reference implementation, numerically robust in practice, and efficient to compute with straightforward parallelization and distribution.
Author: Eduar Castrillo Velilla [aut, cre]
Maintainer: Eduar Castrillo Velilla <velicast@outlook.com>

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Package documentosbr updated to version 0.2.0 with previous version 0.1.8 dated 2026-04-27

Title: Validate Brazilian Administrative Registers - Valida Documentos
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.
Author: Gustavo Coelho [aut], Lucas Mation [aut] , Rodrigo Borges [ctb, cre] , Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Rodrigo Borges <rodrigo.borges@ipea.gov.br>

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Package statgenIBD updated to version 1.0.11 with previous version 1.0.10 dated 2026-03-02

Title: Calculation of IBD Probabilities
Description: For biparental, three and four-way crosses Identity by Descent (IBD) probabilities can be calculated using Hidden Markov Models and inheritance vectors following Lander and Green (<https://www.jstor.org/stable/29713>) and Huang (<doi:10.1073/pnas.1100465108>). One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris.
Author: Martin Boer [aut] , Bart-Jan van Rossum [aut, cre] , Wenhao Li [ctb] , Johannes Kruisselbrink [ctb]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package polle updated to version 1.6.3 with previous version 1.6.2 dated 2025-12-04

Title: Policy Learning
Description: Package for learning and evaluating (subgroup) policies via doubly robust loss functions. Policy learning methods include doubly robust blip/conditional average treatment effect learning and sequential policy tree learning. Methods for (subgroup) policy evaluation include doubly robust cross-fitting and online estimation/sequential validation. See Nordland and Holst (2022) <doi:10.48550/arXiv.2212.02335> for documentation and references.
Author: Andreas Nordland [aut, cre], Klaus Holst [aut]
Maintainer: Andreas Nordland <andreasnordland@gmail.com>

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Package CausalMixGPD updated to version 0.8.0 with previous version 0.7.0 dated 2026-04-21

Title: Bayesian Nonparametric Conditional Density Modeling in Causal Inference and Clustering with a Heavy-Tail Extension
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 tools 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, quantiles, expected values, survival functions, and causal effects, with an emphasis on tail [...truncated...]
Author: Arnab Aich [aut, cre]
Maintainer: Arnab Aich <aaich@fsu.edu>

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Package sumer updated to version 1.6.0 with previous version 1.5.0 dated 2026-04-07

Title: Sumerian Cuneiform Text Analysis
Description: Provides functions for converting transliterated Sumerian texts to sign names and cuneiform characters, creating and querying dictionaries, analyzing the structure of Sumerian words, and creating translations. Includes a built-in dictionary and supports both forward lookup (Sumerian to English) and reverse lookup (English to Sumerian).
Author: Robin Wellmann [aut, cre]
Maintainer: Robin Wellmann <ro.wellmann@gmail.com>

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Package sorcering updated to version 1.2.3 with previous version 1.2.2 dated 2026-02-17

Title: Soil Organic Carbon and CN Ratio Driven Nitrogen Modelling Framework
Description: Can be used to model the fate of soil organic carbon and soil organic nitrogen and to calculate N mineralisation rates. Provides a framework that numerically solves differential equations of soil organic carbon models based on first-order kinetics and extends these models to include the nitrogen component. The name 'sorcering' is an acronym for 'Soil ORganic Carbon & CN Ratio drIven Nitrogen modellinG framework'.
Author: Marc Scherstjanoi [aut, cre], Rene Dechow [aut]
Maintainer: Marc Scherstjanoi <marc.scherstjanoi@thuenen.de>

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Package rgeopat2 updated to version 0.4.1 with previous version 0.4.0 dated 2023-09-18

Title: Additional Functions for 'GeoPAT' 2
Description: Supports analysis of spatial data processed with the 'GeoPAT' 2 software <https://github.com/Nowosad/geopat2>. Available features include creation of a grid based on the 'GeoPAT' 2 grid header file and reading a 'GeoPAT' 2 text outputs.
Author: Jakub Nowosad [aut, cre] , Space Informatics Lab [cph]
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>

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Package htrSPRanalysis readmission to version 0.1.2 with previous version 0.1.0 dated 2024-08-26

Title: Analysis of Surface Plasmon Resonance Data
Description: Analysis of Surface Plasmon Resonance (SPR) and Biolayer Interferometry data, with automations for high-throughput SPR. This version of the package fits the 1: 1 binding model, with and without bulkshift. It offers optional local or global Rmax fitting. The user must provide a sample sheet and a Carterra output file in Carterra's current format. There is a utility function to convert from Carterra's old output format. The user may run a custom pipeline or use the provided 'Runscript', which will produce a pdf file containing fitted Rmax, ka, kd and standard errors, a plot of the sensorgram and fits, and a plot of residuals. The script will also produce a .csv file with all of the relevant parameters for each spot on the SPR chip.
Author: Janice McCarthy Developer [aut, cre, cph], Kan Li Dev [aut], S. Moses Dennison [aut], Georgia D. Tomaras [aut]
Maintainer: Janice McCarthy Developer <janice.mccarthy@duke.edu>

This is a re-admission after prior archival of version 0.1.0 dated 2024-08-26

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Package weird updated to version 2.1.0 with previous version 2.0.0 dated 2026-01-27

Title: Functions and Data Sets for "That's Weird: Anomaly Detection Using R" by Rob J Hyndman
Description: All functions and data sets required for the examples in the book Hyndman (2026) "That's Weird: Anomaly Detection Using R" <https://OTexts.com/weird/>. All packages needed to run the examples are also loaded.
Author: Rob Hyndman [aut, cre, cph] , RStudio [cph]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

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Package unifiedml updated to version 0.3.0 with previous version 0.2.1 dated 2026-04-03

Title: Unified Interface for Machine Learning Models
Description: Provides a unified R6-based interface for various machine learning models with automatic interface detection, consistent cross-validation, model interpretations via numerical derivatives, and visualization. Supports both regression and classification tasks with any model function that follows R's standard modeling conventions (formula or matrix interface).
Author: T. Moudiki [aut, cre]
Maintainer: T. Moudiki <thierry.moudiki@gmail.com>

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Package MortalityLaws updated to version 2.2.0 with previous version 2.1.3 dated 2025-04-16

Title: Parametric Mortality Models, Life Tables and HMD
Description: Fit the most popular human mortality 'laws', and construct full and abridge life tables given various input indices. A mortality law is a parametric function that describes the dying-out process of individuals in a population during a significant portion of their life spans. For a comprehensive review of the most important mortality laws see Tabeau (2001) <doi:10.1007/0-306-47562-6_1>. Practical functions for downloading data from various human mortality databases are provided as well.
Author: Marius D. Pascariu [aut, cre, cph] , Vladimir Canudas-Romo [ctb]
Maintainer: Marius D. Pascariu <mpascariu@outlook.com>

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Package fds updated to version 1.9 with previous version 1.8 dated 2018-10-31

Title: Functional Data Sets
Description: Functional data sets.
Author: Han Lin Shang [aut, cre, cph] , Rob Hyndman [aut]
Maintainer: Han Lin Shang <hanlin.shang@mq.edu.au>

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Package overviewR updated to version 0.0.14 with previous version 0.0.13 dated 2023-02-15

Title: Easily Extracting Information About Your Data
Description: Makes it easy to display descriptive information on a data set. Getting an easy overview of a data set by displaying and visualizing sample information in different tables (e.g., time and scope conditions). The package also provides publishable 'LaTeX' code to present the sample information.
Author: Cosima Meyer [cre, aut], Dennis Hammerschmidt [aut]
Maintainer: Cosima Meyer <cosima.meyer@gmail.com>

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Package exams2forms updated to version 0.2-1 with previous version 0.2-0 dated 2025-05-02

Title: Embedding 'exams' Exercises as Forms in 'rmarkdown' or 'quarto' Documents
Description: Automatic generation of quizzes or individual questions as (interactive) forms within 'rmarkdown' or 'quarto' documents based on 'R/exams' exercises.
Author: Achim Zeileis [aut, cre] , Reto Stauffer [aut] , Dale Barr [ctb] , Lisa DeBruine [ctb] , Florian Stampfer [ctb] , Jonas Tscholl [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package BEACH updated to version 1.3.2 with previous version 1.3.1 dated 2019-02-11

Title: Biometric Exploratory Analysis Creation House
Description: A platform for interactive data analysis designed to simplify development, deployment, interaction, and exploration (TEDDIE). The package enables users to create customized analyses and deploy them to end users, who can perform interactive analyses and export results to RTF or HTML files. It allows developers to focus on R code for analysis rather than managing HTML or Shiny application code.
Author: Danni Yu [aut, cre], Michael Man [aut], ChenChen Yu [ctb]
Maintainer: Danni Yu <danni.yu@gmail.com>

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Package RNAmf updated to version 1.1.4 with previous version 1.1.3 dated 2026-01-29

Title: Recursive Non-Additive Emulator for Multi-Fidelity Data
Description: Performs RNA emulation and active learning proposed by Heo and Sung (2025) <doi:10.1080/00401706.2024.2376173> for multi-fidelity computer experiments. The RNA emulator is particularly useful when the simulations with different fidelity level are nonlinearly correlated. The hyperparameters in the model are estimated by maximum likelihood estimation.
Author: Junoh Heo [aut, cre], Chih-Li Sung [aut]
Maintainer: Junoh Heo <heojunoh@msu.edu>

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Package localLLM updated to version 1.3.0 with previous version 1.2.1 dated 2026-02-26

Title: Running Local LLMs with 'llama.cpp' Backend
Description: Provides R bindings to the 'llama.cpp' library for running large language models. The package uses a lightweight architecture where the C++ backend library is downloaded at runtime rather than bundled with the package. Package features include text generation, reproducible generation, and parallel inference.
Author: Eddie Yang [aut] , Yaosheng Xu [aut, cre]
Maintainer: Yaosheng Xu <xu2009@purdue.edu>

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Package medicalcoder updated to version 0.8.1 with previous version 0.8.0 dated 2026-02-22

Title: A Unified and Longitudinally Aware Framework for ICD-Based Comorbidity Assessment
Description: Provides comorbidity classification algorithms such as the Pediatric Complex Chronic Conditions (PCCC), Charlson, and Elixhauser indices, supports longitudinal comorbidity flagging across encounters, and includes utilities for working with medical coding schemas such as the International Classification of Diseases (ICD).
Author: Peter DeWitt [aut, cre, cov] , Tell Bennett [ctb] , Seth Russell [ctb] , Meg Rebull [ctb] , Vincent Rubinetti [cov]
Maintainer: Peter DeWitt <peter.dewitt@cuanschutz.edu>

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Mon, 04 May 2026

Package balnet updated to version 0.0.2 with previous version 0.0.1 dated 2026-04-03

Title: Pathwise Estimation of Covariate Balancing Propensity Scores
Description: Provides pathwise estimation of regularized logistic propensity score models using covariate balancing loss functions rather than maximum likelihood. Regularization paths are fit via the 'adelie' elastic-net solver with a 'glmnet'-like interface, yielding balancing weights that target covariate balance for the ATE and ATT. For details, see Sverdrup & Hastie (2026) <doi:10.48550/arXiv.2602.18577>.
Author: Erik Sverdrup [aut, cre], Trevor Hastie [aut], James Yang [ctb] )
Maintainer: Erik Sverdrup <erik.sverdrup@monash.edu>

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Package spsurvey updated to version 5.6.1 with previous version 5.6.0 dated 2025-09-29

Title: Spatial Sampling Design and Analysis
Description: A design-based approach to statistical inference, with a focus on spatial data. Spatially balanced samples are selected using the Generalized Random Tessellation Stratified (GRTS) algorithm. The GRTS algorithm can be applied to finite resources (point geometries) and infinite resources (linear / linestring and areal / polygon geometries) and flexibly accommodates a diverse set of sampling design features, including stratification, unequal inclusion probabilities, proportional (to size) inclusion probabilities, legacy (historical) sites, a minimum distance between sites, and two options for replacement sites (reverse hierarchical order and nearest neighbor). Data are analyzed using a wide range of analysis functions that perform categorical variable analysis, continuous variable analysis, attributable risk analysis, risk difference analysis, relative risk analysis, change analysis, and trend analysis. spsurvey can also be used to summarize objects, visualize objects, select samples that [...truncated...]
Author: Michael Dumelle [aut, cre] , Tom Kincaid [aut], Anthony R. Olsen [aut], Marc Weber [aut], Don Stevens [ctb], Denis White [ctb], Amanda M. Nahlik [ctb], Sarah Lehmann [ctb]
Maintainer: Michael Dumelle <Dumelle.Michael@epa.gov>

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Package report updated to version 0.6.4 with previous version 0.6.3 dated 2026-01-08

Title: Automated Reporting of Results and Statistical Models
Description: The aim of the 'report' package is to bridge the gap between R’s output and the formatted results contained in your manuscript. This package converts statistical models and data frames into textual reports suited for publication, ensuring standardization and quality in results reporting.
Author: Dominique Makowski [aut] , Daniel Luedecke [aut] , Indrajeet Patil [aut] , Remi Theriault [aut, cre] , Mattan S. Ben-Shachar [aut] , Brenton M. Wiernik [aut] , Rudolf Siegel [ctb] , Camden Bock [ctb]
Maintainer: Remi Theriault <remi.theriault@mail.mcgill.ca>

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Package qtl2 updated to version 0.40 with previous version 0.38 dated 2025-06-02

Title: Quantitative Trait Locus Mapping in Experimental Crosses
Description: Provides a set of tools to perform quantitative trait locus (QTL) analysis in experimental crosses. It is a reimplementation of the 'R/qtl' package to better handle high-dimensional data and complex cross designs. Broman et al. (2019) <doi:10.1534/genetics.118.301595>.
Author: Karl W Broman [aut, cre] , R Core Team [ctb]
Maintainer: Karl W Broman <broman@wisc.edu>

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Package pubmedR updated to version 1.0.2 with previous version 1.0.0 dated 2026-04-15

Title: Gathering Metadata About Publications, Grants, Clinical Trials from 'PubMed' Database
Description: A set of tools to extract bibliographic content from 'PubMed' database using 'NCBI' REST API <https://www.ncbi.nlm.nih.gov/home/develop/api/>. It includes functions to search, download, and convert 'PubMed' bibliographic records into data frames compatible with the 'bibliometrix' package. Features include programmatic query building, batch downloading by PMID, citation enrichment via 'NCBI' E-Link, and robust error handling with automatic retry logic.
Author: Massimo Aria [aut, cre]
Maintainer: Massimo Aria <massimo.aria@gmail.com>

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Package psychTools updated to version 2.6.4 with previous version 2.5.7.22 dated 2025-06-22

Title: Tools to Accompany the 'psych' Package for Psychological Research
Description: Support functions, data sets, and vignettes for the 'psych' package. Contains several of the biggest data sets for the 'psych' package as well as four vignettes. A few helper functions for file manipulation are included as well. For more information, see the <https://personality-project.org/r/> web page.
Author: William Revelle [aut, cre]
Maintainer: William Revelle <revelle@northwestern.edu>

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Package operators updated to version 0.2.0 with previous version 0.1-8 dated 2015-07-11

Title: Additional Binary Operators
Description: A set of binary operators for common tasks such as regex manipulation.
Author: Romain Francois [cre, aut]
Maintainer: Romain Francois <romain@tada.science>

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Package memshare updated to version 1.1.1 with previous version 1.1.0 dated 2025-12-05

Title: Shared Memory Multithreading
Description: This project extends 'R' with a mechanism for efficient parallel data access by utilizing 'C++' shared memory. Large data objects can be accessed and manipulated directly from 'R' without redundant copying, providing both speed and memory efficiency. Memshare was published in Thrun, M.C., Märte J.: "Memshare: Memory Sharing for Multicore Computation in R with an Application to Feature Selection by Mutual Information using PDE" (2026), R Journal, <DOI:10.32614/RJ-2025-043>.
Author: Julian Maerte [aut, ctr] , Romain Francois [ctb], Michael Thrun [aut, ths, rev, cph, cre]
Maintainer: Michael Thrun <m.thrun@gmx.net>

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Package kdensity updated to version 1.2.0 with previous version 1.1.1 dated 2025-03-04

Title: Kernel Density Estimation with Parametric Starts and Asymmetric Kernels
Description: Handles univariate non-parametric density estimation with parametric starts and asymmetric kernels in a simple and flexible way. Kernel density estimation with parametric starts involves fitting a parametric density to the data before making a correction with kernel density estimation, see Hjort & Glad (1995) <doi:10.1214/aos/1176324627>. Asymmetric kernels make kernel density estimation more efficient on bounded intervals such as (0, 1) and the positive half-line. Supported asymmetric kernels are the gamma kernel of Chen (2000) <doi:10.1023/A:1004165218295>, the beta kernel of Chen (1999) <doi:10.1016/S0167-9473(99)00010-9>, and the copula kernel of Jones & Henderson (2007) <doi:10.1093/biomet/asm068>. User-supplied kernels, parametric starts, and bandwidths are supported.
Author: Jonas Moss [aut, cre] , Martin Tveten [ctb]
Maintainer: Jonas Moss <jonas.gjertsen@gmail.com>

Diff between kdensity versions 1.1.1 dated 2025-03-04 and 1.2.0 dated 2026-05-04

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Package FD updated to version 1.0-12.5 with previous version 1.0-12.3 dated 2023-11-26

Title: Measuring Functional Diversity (FD) from Multiple Traits, and Other Tools for Functional Ecology
Description: Computes different multidimensional FD indices. Implements a distance-based framework to measure FD that allows any number and type of functional traits, and can also consider species relative abundances. Also contains other useful tools for functional ecology.
Author: Etienne Laliberte [aut, cre], Pierre Legendre [aut], Bill Shipley [aut]
Maintainer: Etienne Laliberte <etiennelaliberte@gmail.com>

Diff between FD versions 1.0-12.3 dated 2023-11-26 and 1.0-12.5 dated 2026-05-04

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Package tidystringdist updated to version 0.1.6 with previous version 0.1.4 dated 2019-03-20

Title: String Distance Calculation with Tidy Data Principles
Description: Calculation of string distance following the tidy data principles. Built on top of the 'stringdist' package.
Author: Colin Fay [aut, cre] , Dmytro Perepolkin [ctb]
Maintainer: Colin Fay <contact@colinfay.me>

Diff between tidystringdist versions 0.1.4 dated 2019-03-20 and 0.1.6 dated 2026-05-04

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Package wxgenR updated to version 1.4.5 with previous version 1.4.4 dated 2025-04-14

Title: A Stochastic Weather Generator with Seasonality
Description: A weather generator to simulate precipitation and temperature for regions with seasonality. Users input training data containing precipitation, temperature, and seasonality (up to 26 seasons). Including weather season as a training variable allows users to explore the effects of potential changes in season duration as well as average start- and end-time dates due to phenomena like climate change. Data for training should be a single time series but can originate from station data, basin averages, grid cells, etc. Bearup, L., Gangopadhyay, S., & Mikkelson, K. (2021). "Hydroclimate Analysis Lower Santa Cruz River Basin Study (Technical Memorandum No ENV-2020-056)." Bureau of Reclamation. Gangopadhyay, S., Bearup, L. A., Verdin, A., Pruitt, T., Halper, E., & Shamir, E. (2019, December 1). "A collaborative stochastic weather generator for climate impacts assessment in the Lower Santa Cruz River Basin, Arizona." Fall Meeting 2019, American Geophysical Union. <https://ui.adsabs.ha [...truncated...]
Author: Subhrendu Gangopadhyay [aut], Lindsay Bearup [aut], David Woodson [aut, cre], Marketa McGuire [aut], Andrew Verdin [aut], Eylon Shamir [aut], Eve Halper [aut]
Maintainer: David Woodson <dwoodson@usbr.gov>

Diff between wxgenR versions 1.4.4 dated 2025-04-14 and 1.4.5 dated 2026-05-04

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Package ThurMod updated to version 1.1.20 with previous version 1.1.15 dated 2026-04-08

Title: Thurstonian CFA and Thurstonian IRT Modeling
Description: Fit Thurstonian forced-choice models (CFA (simple and factor) and IRT) in R. This package allows for the analysis of item response modeling (IRT) as well as confirmatory factor analysis (CFA) in the Thurstonian framework. Currently, estimation can be performed by 'Mplus' and 'lavaan'. References: Brown & Maydeu-Olivares (2011) <doi:10.1177/0013164410375112>; Jansen, M. T., & Schulze, R. (in review). The Thurstonian linked block design: Improving Thurstonian modeling for paired comparison and ranking data.; Maydeu-Olivares & Böckenholt (2005) <doi:10.1037/1082-989X.10.3.285>.
Author: Markus Thomas Jansen [aut, cre]
Maintainer: Markus Thomas Jansen <mjansen@uni-wuppertal.de>

Diff between ThurMod versions 1.1.15 dated 2026-04-08 and 1.1.20 dated 2026-05-04

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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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Package nhanesdata updated to version 0.2.2 with previous version 0.2.1 dated 2026-02-28

Title: Harmonized Access to NHANES Survey Data
Description: Instant access to harmonized National Health and Nutrition Examination Survey (NHANES) data spanning 1999-2023. Retrieve pre-processed datasets from reliable cloud storage with automatic type reconciliation and integrated search tools for variables and datasets. Simplifies NHANES data workflows by handling cycle management and maintaining data consistency across survey waves. Data is sourced from <https://www.cdc.gov/nchs/nhanes/>.
Author: Kyle Grealis [aut, cre] , Amrit Baral [ctb] , Natalie Neugaard [ctb] , Raymond Balise [ctb] , Johannes Thrul [ctb] , Janardan Devkota [ctb]
Maintainer: Kyle Grealis <kyle@kylegrealis.com>

Diff between nhanesdata versions 0.2.1 dated 2026-02-28 and 0.2.2 dated 2026-05-04

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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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Package azr updated to version 0.3.3 with previous version 0.3.2 dated 2026-03-30

Title: Credential Chain for Seamless 'OAuth 2.0' Authentication to 'Azure Services'
Description: Implements a credential chain for 'Azure OAuth 2.0' authentication based on the package 'httr2''s 'OAuth' framework. Sequentially attempts authentication methods until one succeeds. During development allows interactive browser-based flows ('Device Code' and 'Auth Code' flows) and non-interactive flow ('Client Secret') in batch mode.
Author: Pedro Baltazar [aut, cre]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>

Diff between azr versions 0.3.2 dated 2026-03-30 and 0.3.3 dated 2026-05-04

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Package sharpshootR updated to version 2.5 with previous version 2.4 dated 2025-09-26

Title: A Soil Survey Toolkit
Description: A collection of data processing, visualization, and export functions to support soil survey operations. Many of the functions build on the `SoilProfileCollection` S4 class provided by the aqp package, extending baseline visualization to more elaborate depictions in the context of spatial and taxonomic data. While this package is primarily developed by and for the USDA-NRCS, in support of the National Cooperative Soil Survey, the authors strive for generalization sufficient to support any soil survey operation. Many of the included functions are used by the SoilWeb suite of websites and movile applications. These functions are provided here, with additional documentation, to enable others to replicate high quality versions of these figures for their own purposes.
Author: Dylan Beaudette [cre, aut], Jay Skovlin [aut], Stephen Roecker [aut], Andrew Brown [aut], USDA-NRCS Soil Survey Staff [ctb]
Maintainer: Dylan Beaudette <dylan.beaudette@usda.gov>

Diff between sharpshootR versions 2.4 dated 2025-09-26 and 2.5 dated 2026-05-04

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Package rainette updated to version 0.3.3 with previous version 0.3.2 dated 2026-01-08

Title: The Reinert Method for Textual Data Clustering
Description: An R implementation of the Reinert text clustering method. For more details about the algorithm see the included vignettes or Reinert (1990) <doi:10.1177/075910639002600103>.
Author: Julien Barnier [aut, cre], Florian Prive [ctb]
Maintainer: Julien Barnier <julien.barnier@cnrs.fr>

Diff between rainette versions 0.3.2 dated 2026-01-08 and 0.3.3 dated 2026-05-04

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Package nutriNetwork readmission to version 0.2.1 with previous version 0.2.0 dated 2025-11-09

Title: Structure Learning with Copula Graphical Model
Description: Statistical tool for learning the structure of direct associations among variables for continuous data, discrete data and mixed discrete-continuous data. The package is based on the copula graphical model in Behrouzi and Wit (2017) <doi:10.1111/rssc.12287>.
Author: Pariya Behrouzi [aut, cre]
Maintainer: Pariya Behrouzi <pariya.behrouzi@gmail.com>

This is a re-admission after prior archival of version 0.2.0 dated 2025-11-09

Diff between nutriNetwork versions 0.2.0 dated 2025-11-09 and 0.2.1 dated 2026-05-04

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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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Package GGMncv readmission to version 2.1.2 with previous version 2.1.1 dated 2021-12-15

Title: Gaussian Graphical Models with Nonconvex Regularization
Description: Estimate Gaussian graphical models with nonconvex penalties, including methods described by Williams (2020) <doi:10.31234/osf.io/ad57p>. Penalties include atan (Wang and Zhu, 2016) <doi:10.1155/2016/6495417>, seamless L0 (Dicker, Huang and Lin, 2013) <doi:10.5705/ss.2011.074>, exponential (Wang, Fan and Zhu, 2018) <doi:10.1007/s10463-016-0588-3>, smooth integration of counting and absolute deviation (Lv and Fan, 2009) <doi:10.1214/09-AOS683>, logarithm (Mazumder, Friedman and Hastie, 2011) <doi:10.1198/jasa.2011.tm09738>, Lq, smoothly clipped absolute deviation (Fan and Li, 2001) <doi:10.1198/016214501753382273>, and minimax concave penalty (Zhang, 2010) <doi:10.1214/09-AOS729>. The package also provides extensions for variable inclusion probabilities, multiple regression coefficients, and statistical inference (Janková and van de Geer, 2015) <doi:10.1214/15-EJS1031>.
Author: Donald Williams [aut], Philippe Rast [cre]
Maintainer: Philippe Rast <rast.ph@gmail.com>

This is a re-admission after prior archival of version 2.1.1 dated 2021-12-15

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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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Package SomaDataIO updated to version 6.6.0 with previous version 6.5.0 dated 2026-02-06

Title: Input/Output 'SomaScan' Data
Description: Load and export 'SomaScan' data via the 'SomaLogic Operating Co., Inc.' structured text file called an ADAT ('*.adat'). For file format see <https://github.com/SomaLogic/SomaLogic-Data/blob/main/README.md>. The package also exports auxiliary functions for manipulating, wrangling, and extracting relevant information from an ADAT object once in memory.
Author: Stu Field [aut] , Caleb Scheidel [cre], SomaLogic Operating Co., Inc. [cph, fnd]
Maintainer: Caleb Scheidel <calebjscheidel@gmail.com>

Diff between SomaDataIO versions 6.5.0 dated 2026-02-06 and 6.6.0 dated 2026-05-04

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