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

 DESCRIPTION                        |   10 
 MD5                                |   99 +++---
 NAMESPACE                          |    7 
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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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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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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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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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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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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

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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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More information about scoper at CRAN
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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

More information about rocvb at CRAN
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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

More information about rgsrs at CRAN
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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

More information about logStirling2 at CRAN
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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

More information about delaydiscount at CRAN
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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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More information about weatherjoin at CRAN
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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

More information about mSigPlot at CRAN
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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

More information about int3ract at CRAN
Permanent link

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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More information about fHMM at CRAN
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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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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
Permanent link

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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Permanent link

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
Permanent link

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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More information about mapsf at CRAN
Permanent link

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

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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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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>

Diff between tsg versions 0.1.3 dated 2026-02-28 and 0.1.4 dated 2026-05-05

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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

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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

Diff between mdscore versions 0.1-3 dated 2017-02-16 and 0.1-4 dated 2026-05-05

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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>

Diff between BEACH versions 1.3.1 dated 2019-02-11 and 1.3.2 dated 2026-05-05

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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>

Diff between RNAmf versions 1.1.3 dated 2026-01-29 and 1.1.4 dated 2026-05-05

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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>

Diff between localLLM versions 1.2.1 dated 2026-02-26 and 1.3.0 dated 2026-05-05

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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>

Diff between medicalcoder versions 0.8.0 dated 2026-02-22 and 0.8.1 dated 2026-05-05

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