Mon, 18 May 2026

Package CUSUMdesign updated to version 1.1.8 with previous version 1.1.7 dated 2026-04-30

Title: Compute Decision Interval and Average Run Length for CUSUM Charts
Description: Computation of decision intervals (H) and average run lengths (ARL) for CUSUM charts. Details of the method are seen in Hawkins and Olwell (2012): Cumulative sum charts and charting for quality improvement, Springer Science & Business Media.
Author: Douglas M. Hawkins [aut], David H. Olwell [aut], Boxiang Wang [aut, cre]
Maintainer: Boxiang Wang <boxiang-wang@uiowa.edu>

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More information about CUSUMdesign at CRAN
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Package tinyVAST updated to version 1.6.0 with previous version 1.5.1 dated 2026-04-14

Title: Multivariate Spatio-Temporal Models using Structural Equations
Description: Fits a wide variety of multivariate spatio-temporal models with simultaneous and lagged interactions among variables (including vector autoregressive spatio-temporal ('VAST') dynamics) for areal, continuous, or network spatial domains. It includes time-variable, space-variable, and space-time-variable interactions using dynamic structural equation models ('DSEM') as expressive interface, and the 'mgcv' package to specify splines via the formula interface. See Thorson et al. (2025) <doi:10.1111/geb.70035> for more details.
Author: James T. Thorson [aut, cre] , Sean C. Anderson [aut]
Maintainer: James T. Thorson <James.Thorson@noaa.gov>

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Package BRCore updated to version 2.0.5 with previous version 2.0.4 dated 2026-05-05

Title: Unified Framework for Identification and Ecological Interpretation of Microbial Data from Bioenergy Research Centers
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>.
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>

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Package couplr updated to version 1.4.0 with previous version 1.2.0 dated 2026-03-20

Title: Optimal Pairing and Matching via Linear Assignment
Description: Solves optimal pairing and matching problems using linear assignment algorithms. Provides implementations of the Hungarian method (Kuhn 1955) <doi:10.1002/nav.3800020109>, Jonker-Volgenant shortest path algorithm (Jonker and Volgenant 1987) <doi:10.1007/BF02278710>, Auction algorithm (Bertsekas 1988) <doi:10.1007/BF02186476>, cost-scaling (Goldberg and Kennedy 1995) <doi:10.1007/BF01585996>, scaling algorithms (Gabow and Tarjan 1989) <doi:10.1137/0218069>, push-relabel (Goldberg and Tarjan 1988) <doi:10.1145/48014.61051>, and Sinkhorn entropy-regularized transport (Cuturi 2013) <doi:10.48550/arxiv.1306.0895>. Designed for matching plots, sites, samples, or any pairwise optimization problem. Supports rectangular matrices, forbidden assignments, data frame inputs, batch solving, k-best solutions, and pixel-level image morphing for visualization. Includes automatic preprocessing with variable health checks, multiple scaling methods (standardized, [...truncated...]
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package h5lite updated to version 2.1.1.1 with previous version 2.1.1.0 dated 2026-04-18

Title: Simplified 'HDF5' Interface
Description: A user-friendly interface for the Hierarchical Data Format 5 ('HDF5') library designed to "just work." It bundles the necessary system libraries to ensure easy installation on all platforms. Features smart defaults that automatically map R objects (vectors, matrices, data frames) to efficient 'HDF5' types, removing the need to manage low-level details like dataspaces or property lists. Uses the 'HDF5' library developed by The HDF Group <https://www.hdfgroup.org/>.
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

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Package emburden updated to version 0.6.2 with previous version 0.6.1 dated 2026-01-07

Title: Energy Burden Analysis Using Net Energy Return Methodology
Description: Calculate and analyze household energy burden using the Net Energy Return aggregation methodology. Functions support weighted statistical calculations across geographic and demographic cohorts, with utilities for formatting results into publication-ready tables. Methods are based on Scheier & Kittner (2022) <doi:10.1038/s41467-021-27673-y>.
Author: Eric Scheier [aut, cre, cph]
Maintainer: Eric Scheier <eric@scheier.org>

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Package cmAnalysis updated to version 1.0.3 with previous version 1.0.1 dated 2025-09-02

Title: Process and Visualise Concept Mapping Data
Description: Concept maps are versatile tools used across disciplines to enhance understanding, teaching, brainstorming, and information organization. This package provides functions for processing and visualizing concept mapping data, involving the sequential use of cluster analysis (for sorting participants and statements), multidimensional scaling (for positioning statements in a conceptual space), and visualization techniques, including point cluster maps and dendrograms. The methodology and its validity are discussed in Kampen, J.K., Hageman, J.A., Breuer, M., & Tobi, H. (2025). "The validity of concept mapping: let's call a spade a spade." Qual Quant. <doi:10.1007/s11135-025-02351-z>.
Author: Jos Hageman [aut, cre], Jarl Kampen [aut]
Maintainer: Jos Hageman <jos.hageman@wur.nl>

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Package evoper updated to version 0.7.0 with previous version 0.6.0 dated 2026-01-28

Title: Evolutionary Parameter Estimation for 'Repast Simphony' Models
Description: The EvoPER, Evolutionary Parameter Estimation for Individual-based Models is an extensible package providing optimization driven parameter estimation methods using metaheuristics and evolutionary computation techniques (Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization for continuous domains, Tabu Search, Evolutionary Strategies, ...) which could be more efficient and require, in some cases, fewer model evaluations than alternatives relying on experimental design. Currently there are built in support for models developed with 'Repast Simphony' Agent-Based framework (<https://repast.github.io/>) and with NetLogo (<https://www.netlogo.org/>) which are the most used frameworks for Agent-based modeling.
Author: Antonio Prestes Garcia [aut, cre], Alfonso Rodriguez-Paton [aut, ths]
Maintainer: Antonio Prestes Garcia <antonio.pgarcia@alumnos.upm.es>

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Package corrgram updated to version 1.15 with previous version 1.14 dated 2021-04-29

Title: Plot a Correlogram
Description: Calculates correlation of variables and displays the results graphically. Included panel functions can display points, shading, ellipses, and correlation values with confidence intervals. See Friendly (2002) <doi:10.1198/000313002533>.
Author: Kevin Wright [aut, cre, cph]
Maintainer: Kevin Wright <kw.stat@gmail.com>

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New package vennDiagramLab with initial version 2.0.5
Package: vennDiagramLab
Title: Headless Venn Diagram Analysis and Rendering
Version: 2.0.5
Description: Headless companion to the 'Venn Diagram Lab' web tool (<https://www.venndiagramlab.org/>). Build, render, and statistically analyze Venn / 'UpSet' diagrams from 'CSV' / 'TSV' / 'GMT' / 'GMX' inputs. Provides the same 44 SVG models, intersection / 'Jaccard' / hypergeometric statistics, and PDF report layout as the web tool, with byte-equivalent 'TSV' exports (parity-tested against the published Python package). Integrates with 'ggplot2', 'tidygraph', and 'broom'.
License: MIT + file LICENSE
Language: en-US
URL: https://zoliqua.github.io/Venn-Diagram-Lab/r/, https://github.com/ZoliQua/Venn-Diagram-Lab, https://www.venndiagramlab.org/
BugReports: https://github.com/ZoliQua/Venn-Diagram-Lab/issues
Depends: R (>= 4.2)
Imports: methods, stats, utils, jsonlite, xml2, ggplot2, ComplexUpset, ggraph, tidygraph, grDevices, rsvg, patchwork, gridExtra, BiocGenerics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, rprojroot, pdftools, broom, tibble, dplyr, covr, BiocCheck, lintr, pkgdown
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-05-12 19:27:29 UTC; Zoli
Author: Zoltan Dul [aut, cre] , Marton Oelbei [aut] , N. Shaun B. Thomas [aut], Azeddine Si Ammour [aut] , Attila Csikasz-Nagy [aut]
Maintainer: Zoltan Dul <zoltan.dul@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-18 18:10:02 UTC

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New package staat1cho with initial version 0.1.0
Package: staat1cho
Title: Study Indicators Based on Dutch Higher Education Data (1CHO)
Version: 0.1.0
Description: Calculates enrolment, graduation, dropout, and programme-switch indicators from the Dutch higher education registration data (1CHO) supplied by DUO. Includes an interactive 'Shiny' dashboard for exploring results.
License: MIT + file LICENSE
URL: https://github.com/cedanl/staat-van-onderwijsinstelling
BugReports: https://github.com/cedanl/staat-van-onderwijsinstelling/issues
Encoding: UTF-8
Language: nl
Depends: R (>= 4.1.0)
Imports: cli, dplyr, forcats, readr, rlang, shiny
Suggests: bslib, DT, ggplot2, knitr, plotly, rmarkdown, scales, testthat (>= 3.0.0), tibble, tidyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-13 12:27:33 UTC; Aslam
Author: Aslam Tanjung [aut, cre], Veerle van Son [aut], Damiette Bakx-van den Brink [aut]
Maintainer: Aslam Tanjung <aslam.tanjung@surf.nl>
Repository: CRAN
Date/Publication: 2026-05-18 18:40:02 UTC

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New package sobol with initial version 1.0.0
Package: sobol
Title: Quasi-Monte Carlo Sobol Sequence Generator
Version: 1.0.0
Description: Provides a fast and efficient implementation of Sobol sequences for quasi-Monte Carlo methods. The Sobol sequence is a low-discrepancy sequence with the property that for all values of N, its subsequence x1, ..., xN has a low discrepancy. It can be used to generate quasi-random numbers for use in Monte Carlo integration and other simulation methods. This implementation is based on the algorithms described by Bratley and Fox (1988) <doi:10.1145/42288.214372> and uses direction numbers from Joe and Kuo (2008) <doi:10.1145/1358628.1358630>. The package includes both batch and incremental interfaces with support for arbitrary starting indices and reproducible sequences. It uses 'Rcpp' for efficient 'C++' integration.
URL: https://alrobles.github.io/sobol/
BugReports: https://github.com/alrobles/sobol/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.1.0), methods, checkmate
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), ggplot2, microbenchmark
License: GPL (>= 3)
NeedsCompilation: yes
Packaged: 2026-05-13 04:35:08 UTC; alrob
Author: Angel Robles [aut, cre], Ilya M. Sobol [ctb] , Paul Bratley [ctb] , Bennett L. Fox [ctb] , Stephen Joe [ctb] , Frances Y. Kuo [ctb]
Maintainer: Angel Robles <a.l.robles.fernandez@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-18 18:30:02 UTC

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New package rxode2mrgsolvebridge with initial version 0.1.0
Package: rxode2mrgsolvebridge
Title: Convert Models Between 'rxode2' and 'mrgsolve'
Version: 0.1.0
Description: Provides an intermediate representation and file-oriented helpers for converting pharmacometric model code between 'rxode2' and 'mrgsolve'. The conversion uses a package-specific intermediate representation described by Hammami F (2026) "rxode2-mrgsolve-bridge" <https://gitlab.com/fiha1/rxode2-mrgsolve-bridge>.
URL: https://gitlab.com/fiha1/rxode2-mrgsolve-bridge
BugReports: https://gitlab.com/fiha1/rxode2-mrgsolve-bridge/-/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
Suggests: mrgsolve, rxode2, testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-05-13 07:30:36 UTC; fiha
Author: Firas Hammami [aut, cre]
Maintainer: Firas Hammami <fiha@genmab.com>
Repository: CRAN
Date/Publication: 2026-05-18 18:40:07 UTC

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New package roundr with initial version 1.0.0
Package: roundr
Title: Incorporate Rounding for Discrete Data Modeling
Version: 1.0.0
Description: Provides density, distribution and random number generator functions to account for discretization in data where recorded values mask the underlying measurement process. Details on methodology are described in Glazer et al. (2026) <doi:10.1080/00031305.2025.2604812>.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: rlang, statmod
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-13 05:41:53 UTC; berkeleyho
Author: Berkeley Ho [aut, cre]
Maintainer: Berkeley Ho <berknho@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-18 18:30:07 UTC

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Package RcamelsCL updated to version 0.2-0 with previous version 0.1-11 dated 2025-09-22

Title: Easy Handling of the CAMELS-CL Dataset
Description: Download and handle spatial and temporal data from the CAMELS-CL dataset (Catchment Attributes and Meteorology for Large Sample Studies, Chile) <https://camels.cr2.cl/>, developed by Alvarez-Garreton et al. (2018) <doi:10.5194/hess-22-5817-2018>. The package does not generate new data, it only facilitates direct access to the original dataset for hydrological analyses.
Author: Hector Garces-Figueroa [aut, cph, cre] , Mauricio Zambrano-Bigiarini [aut, cph]
Maintainer: Hector Garces-Figueroa <hegarcesf@gmail.com>

Diff between RcamelsCL versions 0.1-11 dated 2025-09-22 and 0.2-0 dated 2026-05-18

 DESCRIPTION          |    8 ++--
 MD5                  |   13 ++++--
 NAMESPACE            |    5 +-
 NEWS.md              |   15 +++++++
 R/getCatchments.R    |only
 R/getData.R          |   98 ++++++++++++++++++++++++++++++---------------------
 man/figures          |only
 man/getCatchments.Rd |only
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 9 files changed, 121 insertions(+), 73 deletions(-)

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Package portfolioBacktest readmission to version 0.4.2 with previous version 0.4.1 dated 2022-04-22

Title: Automated Backtesting of Portfolios over Multiple Datasets
Description: Automated backtesting of multiple portfolios over multiple datasets of stock prices in a rolling-window fashion. Intended for researchers and practitioners to backtest a set of different portfolios, as well as by a course instructor to assess the students in their portfolio design in a fully automated and convenient manner, with results conveniently formatted in tables and plots. Each portfolio design is easily defined as a function that takes as input a window of the stock prices and outputs the portfolio weights. Multiple portfolios can be easily specified as a list of functions or as files in a folder. Multiple datasets can be conveniently extracted randomly from different markets, different time periods, and different subsets of the stock universe. The results can be later assessed and ranked with tables based on a number of performance criteria (e.g., expected return, volatility, Sharpe ratio, drawdown, turnover rate, return on investment, computational time, etc.), as well as plo [...truncated...]
Author: Daniel P. Palomar [cre, aut], Rui Zhou [aut]
Maintainer: Daniel P. Palomar <daniel.p.palomar@gmail.com>

This is a re-admission after prior archival of version 0.4.1 dated 2022-04-22

Diff between portfolioBacktest versions 0.4.1 dated 2022-04-22 and 0.4.2 dated 2026-05-18

 DESCRIPTION                             |   18 
 MD5                                     |   30 
 NAMESPACE                               |    2 
 NEWS.md                                 |    5 
 R/plotsNtables.R                        |   58 
 R/portfolioBacktest-package.R           |    2 
 R/portfolioBacktest.R                   |   12 
 README.md                               |    6 
 build/vignette.rds                      |binary
 inst/WORDLIST                           |only
 inst/doc/PortfolioBacktest.html         | 3847 +++++++++++++++++++++++++++-----
 man/backtestChartCumReturn.Rd           |    4 
 man/portfolioBacktest-package.Rd        |   13 
 man/portfolioBacktest.Rd                |   12 
 man/summaryTable.Rd                     |    7 
 tests/testthat/Rplots.pdf               |only
 tests/testthat/test-portfolioBacktest.R |   25 
 17 files changed, 3403 insertions(+), 638 deletions(-)

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New package orisma with initial version 0.1.0
Package: orisma
Title: Occupational Risk Integrated Systematic Mapping and Analysis
Version: 0.1.0
Description: A complete pipeline for systematic bibliometric mapping of occupational health and safety (OHS) evidence. Starting from reference files exported from major bibliographic databases such as Web of Science, Scopus, PubMed, Dimensions, EBSCO, and others, 'orisma' automates ingestion, deduplication, relevance filtering, occupational risk category extraction, bibliometric analysis, and report generation. The package is related to bibliometric science mapping and evidence synthesis workflows described by Aria and Cuccurullo (2017) <doi:10.1016/j.joi.2017.08.007>, Westgate (2019) <doi:10.1002/jrsm.1374>, and Lajeunesse (2016) <doi:10.1111/2041-210X.12472>, but adds a domain-specific occupational safety and health layer. The package implements three original bibliometric indicators: (1) the Worker-Risk Disconnection Index (WRDI), measuring the proportion of studies that characterise an occupational risk without including direct worker exposure data; (2) the Risk Category Satur [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
URL: https://github.com/Aguilar-Elena/orisma
BugReports: https://github.com/Aguilar-Elena/orisma/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.4.0), digest (>= 0.6.29), dplyr (>= 1.1.0), ggplot2 (>= 3.4.0), ggrepel (>= 0.9.0), glue (>= 1.6.0), jsonlite (>= 1.8.0), magrittr (>= 2.0.0), pheatmap (>= 1.0.12), readr (>= 2.1.0), stringdist (>= 0.9.8), stringr (>= 1.5.0), synthesisr (>= 0.3.0), tidyr (>= 1.3.0), tools, utils
Suggests: knitr, rmarkdown, rsvg, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-05-12 20:14:07 UTC; okashi
Author: Raul Aguilar Elena [aut, cre] , Ana Delgado-Garcia [aut]
Maintainer: Raul Aguilar Elena <raguilar@universidadviu.com>
Repository: CRAN
Date/Publication: 2026-05-18 18:10:09 UTC

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New package maxentcpp with initial version 1.0.0
Package: maxentcpp
Title: Maximum Entropy Species Distribution Modeling ('C++' Implementation)
Version: 1.0.0
Description: 'C++' implementation of Maximum Entropy (Maxent) species distribution modeling with R bindings via 'Rcpp'. Provides a high-performance reimplementation of the Maxent algorithm for modeling species geographic distributions from occurrence data and environmental variables, following Phillips et al. (2006) <doi:10.1016/j.ecolmodel.2005.03.026>. Supports linear, quadratic, product, hinge, and threshold feature transformations, spatial projection in raw, logistic, and cloglog scales, and model diagnostics including Area Under the ROC Curve (AUC), variable importance, response curves, and Multivariate Environmental Similarity Surfaces (MESS) maps.
URL: https://github.com/alrobles/maxentcpp, https://alrobles.github.io/maxentcpp/
BugReports: https://github.com/alrobles/maxentcpp/issues
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.0), methods
LinkingTo: Rcpp, RcppEigen
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, terra (>= 1.7-46), raster, sf, png, rJava, maxnet
SystemRequirements: C++17
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2026-05-13 03:58:32 UTC; alrob
Author: Angel Robles [aut, cre]
Maintainer: Angel Robles <a.l.robles.fernandez@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-18 18:30:11 UTC

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New package leadeR with initial version 0.1.0
Package: leadeR
Title: Profiling Leaders at a Distance
Version: 0.1.0
Description: Profiles political leaders at a distance from text data such as speeches, interviews, press conferences, and other public statements. Computes Leadership Trait Analysis scores for seven personality traits -- including need for power, conceptual complexity, and self-confidence -- and classifies leaders into one of eight leadership styles. Also computes Operational Code Analysis scores summarising a leader's beliefs about politics and the use of power.
URL: https://github.com/mmukaigawara/leadeR
License: MIT + file LICENSE
LazyData: true
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: spacyr, dplyr, stringr, tidyr, stringi, data.table, tibble, countries, countrycode, purrr
Suggests: knitr, metafor, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-13 00:09:01 UTC; mitsurumukaigawara
Author: Mitsuru Mukaigawara [cre, aut] , Joshua Kertzer [aut]
Maintainer: Mitsuru Mukaigawara <mitsuru_mukaigawara@g.harvard.edu>
Repository: CRAN
Date/Publication: 2026-05-18 18:20:02 UTC

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New package gendercoder with initial version 0.1.1
Package: gendercoder
Title: Recodes Sex/Gender Descriptions into a Standard Set
Version: 0.1.1
Description: Provides dictionary-based tools for recoding free-text gender responses into consistent categories while preserving gender diversity where possible. The package standardises spelling, capitalization, whitespace, and common variants through curated named character-vector dictionaries, supports either detailed or collapsed output categories, and can retain original unmatched responses for manual review. It also includes helpers for creating custom dictionaries from approximate string matches and a local interactive application for recoding uploaded data files.
Depends: R (>= 3.0.0)
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>
License: GPL-2
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, bs4Dash, haven, shiny
VignetteBuilder: knitr
URL: https://github.com/ropensci/gendercoder
BugReports: https://github.com/ropensci/gendercoder/issues
NeedsCompilation: no
Packaged: 2026-05-12 23:45:55 UTC; Bach
Author: Yaoxiang Li [aut, cre] , Jennifer Beaudry [aut] , Emily Kothe [aut] , Felix Singleton Thorn [aut] , Rhydwyn McGuire [aut], Nicholas Tierney [aut] , Mathew Ling [aut] , Julia Silge [rev] for rOpenSci, see <https://github.com/ropensci/software-review/ [...truncated...]
Repository: CRAN
Date/Publication: 2026-05-18 18:10:16 UTC

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Package essentialstools updated to version 0.1.4 with previous version 0.1.2 dated 2026-03-16

Title: Datasets and Utilities for Essentials of Statistics for the Behavioral Sciences
Description: Provides instructional datasets and simple wrapper functions for selected analyses used in 'Essentials of Statistics for the Behavioral Sciences' (Gravetter et al., 2026). The package is intended to support textbook examples by distributing data in a form that is easy for students and instructors to access within R. Current functionality includes packaged datasets and convenience wrappers for functions from 'ez', 'pwr', and 'WebPower' for analysis of variance and statistical power calculations.
Author: James Witnauer [aut, cre]
Maintainer: James Witnauer <jwitnaue@brockport.edu>

Diff between essentialstools versions 0.1.2 dated 2026-03-16 and 0.1.4 dated 2026-05-18

 essentialstools-0.1.2/essentialstools/R/data.R        |only
 essentialstools-0.1.4/essentialstools/DESCRIPTION     |   20 ++++++++----------
 essentialstools-0.1.4/essentialstools/MD5             |   14 +++++++++---
 essentialstools-0.1.4/essentialstools/R/data_EVData.R |only
 essentialstools-0.1.4/essentialstools/R/data_birdRT.R |only
 essentialstools-0.1.4/essentialstools/R/data_music.R  |only
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 essentialstools-0.1.4/essentialstools/man/music.Rd    |only
 12 files changed, 27 insertions(+), 26 deletions(-)

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New package cclustr with initial version 0.1.1
Package: cclustr
Title: Consensus Clustering Methods for Multiple Imputed Data
Version: 0.1.1
Description: Provides tools for performing consensus clustering on multiple imputed datasets. The package supports a range of clustering algorithms across imputations, including hierarchical methods (e.g., Ward, single, complete, average) and partition-based approaches such as k-means, k-medoids (PAM), fuzzy clustering, model-based clustering ('mclust'), and methods for mixed or categorical data (k-modes and k-prototypes). A co-assignment matrix is constructed to quantify agreement between partitions, and consensus solutions are derived via hierarchical clustering applied to the resulting dissimilarity matrix. Additional functions are provided for validation and visualization of clustering results, facilitating robust analysis in the presence of missing data. Consensus clustering framework is based on Monti et al. (2003) <doi:10.1023/A:1023949509487>, rank aggregation methods follow Pihur et al. (2007) <doi:10.1093/bioinformatics/btm158>, and the PAC (Proportion of Ambiguous Clustering) [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/andrews06ml/cclustr
BugReports: https://github.com/andrews06ml/cclustr/issues
Depends: R (>= 4.0)
Imports: cluster, e1071, fpc, graphics, stats, viridisLite, klaR, clustMixType, proxy, mclust
Suggests: knitr, mice, mlbench, rmarkdown, spelling, testthat (>= 3.0.0), utils
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-13 01:54:56 UTC; andre
Author: Anhuar Duran Mendoza [aut], Andres Montenegro Lemus [aut, cre], Mario Pacheco Lopez [aut]
Maintainer: Andres Montenegro Lemus <andresfemole@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-18 18:20:07 UTC

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New package bolder with initial version 0.1.1
Package: bolder
Title: 'RStudio' Add-Ins for Formatted Section Titles
Version: 0.1.1
Description: Provides 'RStudio' add-ins and helper functions for converting the current editor line, or a supplied character string, into formatted section titles for 'R' scripts. When used as an add-in, it uses 'rstudioapi' to read the active document context and replace only the selected line, so users can bind the add-ins to keyboard shortcuts. The formatter trims common comment and heading markers, converts the label to uppercase, and renders three styles: a five-line boxed title, a framed subtitle, and a simple inline header. Generated titles are padded or centered to a configurable width, using the package-specific width option when set and the session display width otherwise, which helps keep analysis scripts visually consistent and easier to navigate.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rstudioapi
NeedsCompilation: no
Packaged: 2026-05-13 11:15:28 UTC; User
Author: Gabriel Curti [aut, cre]
Maintainer: Gabriel Curti <freitascurti@usp.br>
Repository: CRAN
Date/Publication: 2026-05-18 18:40:22 UTC

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New package binxr with initial version 0.1.1
Package: binxr
Title: 'Binance' REST API Client
Version: 0.1.1
Author: Oliver Zhou [aut, cre], Lily Li [aut]
Maintainer: Oliver Zhou <oliver.yxzhou@gmail.com>
Description: Client for the 'Binance' <https://www.binance.com/> Spot, Futures, and Options REST APIs. Provides helper functions for signed and unsigned requests, market data retrieval, account access, and order management with 'data.table' output by default.
License: MIT + file LICENSE
URL: https://github.com/OliverLDS/binxr, https://oliverlds.github.io/binxr/
BugReports: https://github.com/OliverLDS/binxr/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: httr2, jsonlite, digest, data.table, rlang
Suggests: testthat (>= 3.0.0), waldo
NeedsCompilation: no
Packaged: 2026-05-13 07:49:36 UTC; oliver
Repository: CRAN
Date/Publication: 2026-05-18 18:30:20 UTC

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New package BFM with initial version 0.2.11
Package: BFM
Title: Beta Factor Model
Version: 0.2.11
Author: Guangbao Guo [aut, cre], Jiahui Feng [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Description: Provides tools for factor analysis in financial and econometric settings under Beta factor models. It includes functions to simulate factor-model data with Beta-distributed idiosyncratic components (e.g., standard Beta, scaled Beta, and truncated Beta distributions) and to conduct model diagnostic assessments such as likelihood ratio tests for factor number selection and goodness-of-fit tests for Beta distribution assumptions. Estimation routines encompass maximum likelihood estimation for finite-dimensional Beta factor models, regularized Beta factor analysis for high-dimensional datasets, and shrinkage-based estimation for robust Beta factor loading recovery in noisy or incomplete data environments. The package's methodological framework is detailed in Guo G. (2023) <doi:10.1007/s00180-022-01270-z>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0), spelling, betareg, zoib
NeedsCompilation: no
LazyData: true
Imports: MASS, psych, stats
Language: en-US
Packaged: 2026-05-12 12:44:40 UTC; Administrator
Repository: CRAN
Date/Publication: 2026-05-18 18:20:13 UTC

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New package BayesPPR with initial version 0.1.0
Package: BayesPPR
Title: Bayesian Projection Pursuit Regression
Version: 0.1.0
Description: Bayesian fitting of projection pursuit regression model. Built to handle continuous and categorical inputs and scalar output (Collins et al., 2023 <DOI:10.1007/s11222-023-10334-z>).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: methods
Suggests: testthat (>= 3.0.0)
URL: https://github.com/gqcollins/BayesPPR
BugReports: https://github.com/gqcollins/BayesPPR/issues
NeedsCompilation: no
Packaged: 2026-05-12 21:35:37 UTC; jdtuck
Author: Gavin Collins [aut, ctb], J. Derek Tucker [ctb, cre]
Maintainer: J. Derek Tucker <jdtuck@sandia.gov>
Repository: CRAN
Date/Publication: 2026-05-18 18:10:21 UTC

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New package AutoNN with initial version 0.1.0
Package: AutoNN
Title: Automatic Neural Network Modeling for Time Series Forecasting
Version: 0.1.0
Maintainer: S. Vishnu Shankar <S.vishnushankar55@gmail.com>
Description: Provides optimal combinations of input nodes and hidden neurons for fitting feedforward single-layer artificial neural networks in time series forecasting. Models are evaluated using root mean square error, mean absolute percentage error, and mean absolute error measures.
License: GPL-3
Encoding: UTF-8
Imports: forecast, MLmetrics
NeedsCompilation: no
Packaged: 2026-05-13 09:48:17 UTC; JARVIS
Author: S. Vishnu Shankar [aut, cre], V. Lavanya [aut]
Repository: CRAN
Date/Publication: 2026-05-18 18:40:27 UTC

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Package bedrockbio updated to version 1.3.1 with previous version 1.3.0 dated 2026-04-28

Title: Open-Access Computational Biology Datasets
Description: Efficiently access the 'Bedrock Bio' library of open-access computational biology datasets. Lazily query datasets backed by 'DuckDB' and 'Apache Iceberg', with support for predicate pushdown and column projection to the cloud storage backend. This enables quick, iterative access to otherwise massive, unwieldy datasets without downloading them in full. See <https://bedrock.bio> for available datasets and documentation.
Author: Liam Abbott [aut, cre, cph]
Maintainer: Liam Abbott <liam@bedrock.bio>

Diff between bedrockbio versions 1.3.0 dated 2026-04-28 and 1.3.1 dated 2026-05-18

 DESCRIPTION                          |    6 -
 MD5                                  |   24 +++---
 NEWS.md                              |    8 +-
 R/describe_table.R                   |    2 
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 R/utils.R                            |   70 ++++++------------
 R/zzz.R                              |    2 
 README.md                            |    6 -
 man/load_table.Rd                    |   14 +--
 tests/testthat/test-describe_table.R |   13 +++
 tests/testthat/test-list_tables.R    |    2 
 tests/testthat/test-load_table.R     |   77 +-------------------
 tests/testthat/test-utils.R          |  133 +++++++++++++++++++++++++++++++++--
 13 files changed, 217 insertions(+), 216 deletions(-)

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Package poissonsuperlearner updated to version 0.2.0 with previous version 0.1.1 dated 2026-04-04

Title: Poisson Super Learner
Description: Provides tools for fitting piecewise-constant hazard models for survival and competing risks data, including ensemble hazard estimation via the Super Learner framework. The package supports estimation of survival functions and absolute risk predictions from fitted cause-specific hazard models. For the Super Learner framework see van der Laan, Polley and Hubbard (2007) <doi:10.2202/1544-6115.1309>.
Author: Gabriele Pittarello [aut, cre], Helene Rytgaard [aut], Thomas Gerds [aut]
Maintainer: Gabriele Pittarello <gabriele.pittarello@sund.ku.dk>

Diff between poissonsuperlearner versions 0.1.1 dated 2026-04-04 and 0.2.0 dated 2026-05-18

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 poissonsuperlearner-0.2.0/poissonsuperlearner/DESCRIPTION                             |    8 
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 poissonsuperlearner-0.2.0/poissonsuperlearner/R/predictRisk.R                         |  323 
 poissonsuperlearner-0.2.0/poissonsuperlearner/R/print.R                               |  632 +
 poissonsuperlearner-0.2.0/poissonsuperlearner/R/simulateStenoT1.R                     |  677 +
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 poissonsuperlearner-0.2.0/poissonsuperlearner/R/zzz.R                                 |   83 
 poissonsuperlearner-0.2.0/poissonsuperlearner/README.md                               |  304 
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Package changepointGA updated to version 0.1.5 with previous version 0.1.4 dated 2026-03-28

Title: Changepoint Detection via Modified Genetic Algorithms
Description: The Genetic Algorithm (GA) is used to perform changepoint analysis in time series data. The package also includes an extended island version of GA, as described in Lu, Lund, and Lee (2010, <doi:10.1214/09-AOAS289>). By mimicking the principles of natural selection and evolution, GA provides a powerful stochastic search technique for solving combinatorial optimization problems. In 'changepointGA', each chromosome represents a changepoint configuration, including the number and locations of changepoints, hyperparameters, and model parameters. The package employs genetic operators—selection, crossover, and mutation—to iteratively improve solutions based on the given fitness (objective) function. Key features of 'changepointGA' include encoding changepoint configurations in an integer format, enabling dynamic and simultaneous estimation of model hyperparameters, changepoint configurations, and associated parameters. The detailed algorithmic implementation can be found in the package [...truncated...]
Author: Mo Li [aut, cre], QiQi Lu [aut]
Maintainer: Mo Li <mo.li@louisiana.edu>

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Package umx updated to version 4.65.0 with previous version 4.60.0 dated 2025-11-17

Title: Structural Equation Modeling and Twin Modeling in R
Description: Quickly create, run, and report structural equation models, and twin models. See '?umx' for help, and umx_open_CRAN_page("umx") for NEWS. Timothy C. Bates, Michael C. Neale, Hermine H. Maes, (2019). umx: A library for Structural Equation and Twin Modelling in R. Twin Research and Human Genetics, 22, 27-41. <doi:10.1017/thg.2019.2>.
Author: Timothy C. Bates [aut, cre] , Luis De Araujo [ctb], Nathan Gillespie [wit], Hermine Maes [ctb], Michael C. Neale [ctb], Joshua N. Pritikin [ctb], Brenton Wiernik [ctb], Michael Zakharin [wit]
Maintainer: Timothy C. Bates <timothy.c.bates@gmail.com>

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Package ClickHouseHTTP updated to version 1.0.0 with previous version 0.3.4 dated 2025-06-05

Title: A Simple HTTP Database Interface to 'ClickHouse'
Description: 'ClickHouse' (<https://clickhouse.com/>) is an open-source, high performance columnar OLAP (online analytical processing of queries) database management system for real-time analytics using SQL. This 'DBI' backend relies on the 'ClickHouse' HTTP interface and support HTTPS protocol.
Author: Patrice Godard [aut, cre, cph], Eusebiu Marcu [ctb]
Maintainer: Patrice Godard <patrice.godard@gmail.com>

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Package statgenMPP updated to version 1.0.5 with previous version 1.0.4 dated 2025-02-11

Title: QTL Mapping for Multi Parent Populations
Description: For Multi Parent Populations (MPP) Identity By Descend (IBD) probabilities are computed using Hidden Markov Models. These probabilities are then used in a mixed model approach for QTL Mapping as described in Li et al. (<doi:10.1007/s00122-021-03919-7>).
Author: Martin Boer [aut] , Wenhao Li [aut] , Bart-Jan van Rossum [aut, cre] , Fred van Eeuwijk [ctb]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package RastaRocket updated to version 1.1.5 with previous version 1.1.4 dated 2026-05-01

Title: Rocket-Fast Clinical Research Reporting
Description: Description of the tables, both grouped and not grouped, with some associated data management actions, such as sorting the terms of the variables and deleting terms with zero numbers.
Author: USMR CHU de Bordeaux [aut, cre], Valentine Renaudeau [aut], Marion Kret [aut], Matisse Decilap [aut], Sahardid Mohamed Houssein [aut], Mohamedou Sow [aut], Thomas Ferte [aut]
Maintainer: USMR CHU de Bordeaux <astreinte.usmr@chu-bordeaux.fr>

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Package MixtureFitting updated to version 0.8.0 with previous version 0.6.1 dated 2025-05-23

Title: Fitting of Univariate Mixture Distributions to Data using Various Approaches
Description: Methods for fitting mixture distributions to univariate data using expectation maximization, HWHM and other methods. Supports Gaussian, Cauchy, Student's t, skew-normal and von Mises mixtures. For more details see Merkys (2018) <https://www.lvb.lt/permalink/370LABT_NETWORK/1m6ui06/alma9910036312108451>.
Author: Andrius Merkys [aut, cre]
Maintainer: Andrius Merkys <andrius.merkys@gmail.com>

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Package mnonr updated to version 1.0.1 with previous version 1.0.0 dated 2020-02-11

Title: A Generator of Multivariate Non-Normal Random Numbers
Description: A data generator of multivariate non-normal data in R. It combines two different methods to generate non-normal data, one with user-specified multivariate skewness and kurtosis (more details can be found in the paper: Qu, Liu, & Zhang, 2019 <doi:10.3758/s13428-019-01291-5>), and the other with the given marginal skewness and kurtosis. The latter one is the widely-used Vale and Maurelli's method. It also contains a function to calculate univariate and multivariate (Mardia's Test) skew and kurtosis.
Author: Wen Qu [aut, cre], Zhiyong Zhang [aut]
Maintainer: Wen Qu <mnonr.rpackage@gmail.com>

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Package extraDistr updated to version 1.10.0.4 with previous version 1.10.0.3 dated 2026-04-22

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

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Package SMITIDstruct (with last version 0.0.5) was removed from CRAN

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

2019-06-14 0.0.5
2019-03-05 0.0.4
2019-02-01 0.0.3

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Package SCDB updated to version 0.6.1 with previous version 0.6.0 dated 2026-01-23

Title: Easily Access and Maintain Time-Based Versioned Data (Slowly-Changing-Dimension)
Description: A collection of functions that enable easy access and updating of a database of data over time. More specifically, the package facilitates type-2 history for data-warehouses and provides a number of Quality of life improvements for working on SQL databases with R. For reference see Ralph Kimball and Margy Ross (2013, ISBN 9781118530801).
Author: Rasmus Skytte Randloev [aut, cre, rev] , Marcus Munch Gruenewald [aut] , Lasse Engbo Christiansen [rev, ctb] , Sofia Myrup Otero [rev], Kim Daniel Jacobsen [ctb], Statens Serum Institut [cph, fnd]
Maintainer: Rasmus Skytte Randloev <rske@ssi.dk>

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Package rcldf updated to version 1.6.1 with previous version 1.5.1 dated 2025-09-30

Title: Read Linguistic Data in the Cross Linguistic Data Format (CLDF)
Description: Cross-Linguistic Data Format (CLDF) is a framework for storing cross-linguistic data, ensuring compatibility and ease of data exchange between different linguistic datasets see Forkel et al. (2018) <doi:10.1038/sdata.2018.205>. The 'rcldf' package is designed to facilitate the manipulation and analysis of these datasets by simplifying the loading, querying, and visualisation of CLDF datasets making it easier to conduct comparative linguistic analyses, manage language data, and apply statistical methods directly within R.
Author: Simon J. Greenhill [aut, cre]
Maintainer: Simon J. Greenhill <simon@simon.net.nz>

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Package neo2R updated to version 3.0.0 with previous version 2.4.2 dated 2024-01-18

Title: Neo4j to R
Description: The aim of neo2R is to provide simple and low level connectors for querying neo4j graph databases (<https://neo4j.com/>). The objects returned by the query functions are either lists or data.frames with very little post-processing. It allows fast processing of queries returning many records. And it let the users handle post-processing according to the data model and their needs.
Author: Patrice Godard [aut, cre, cph] , Eusebiu Marcu [ctb]
Maintainer: Patrice Godard <patrice.godard@gmail.com>

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Package fastFMM updated to version 1.0.1 with previous version 1.0.0 dated 2026-01-08

Title: Fast Functional Mixed Models using Fast Univariate Inference
Description: Implementation of the fast univariate inference approach (Cui et al. (2022) <doi:10.1080/10618600.2021.1950006>, Loewinger et al. (2024) <doi:10.7554/eLife.95802.2>, Xin et al. (2025) <doi:10.7554/eLife.109428.1>) for fitting functional mixed models. User guides and Python package information can be found at <https://github.com/gloewing/photometry_FLMM>.
Author: Erjia Cui [aut], Gabriel Loewinger [aut], Al Xin [aut, cre]
Maintainer: Al Xin <axin@andrew.cmu.edu>

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Package EQUALrepeat updated to version 0.4.5 with previous version 0.4.0 dated 2024-09-06

Title: Algorithm Driven Time Series Analysis for Researchers without Coding Skills
Description: Support functions for R-based 'EQUAL-STATS' software which automatically classifies the data and performs appropriate statistical tests. 'EQUAL-STATS' software is a shiny application with an user-friendly interface to perform complex statistical analysis. Gurusamy,K (2024)<doi:10.5281/zenodo.13354162>.
Author: Kurinchi Gurusamy [aut, cre]
Maintainer: Kurinchi Gurusamy <k.gurusamy@ucl.ac.uk>

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Package worldmet updated to version 1.1.0 with previous version 1.0.0 dated 2026-02-02

Title: Import Surface Meteorological Data from NOAA
Description: Functions to import data from more than 30,000 surface meteorological sites around the world managed by the National Oceanic and Atmospheric Administration (NOAA) Global Historical Climate Network (GHCN) and Integrated Surface Database (ISD).
Author: David Carslaw [aut, cre] , Jack Davison [aut]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

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Package sftrack updated to version 0.5.5 with previous version 0.5.4 dated 2023-03-16

Title: Modern Classes for Tracking and Movement Data
Description: Modern classes for tracking and movement data, building on 'sf' spatial infrastructure, and early theoretical work from Turchin (1998, ISBN: 9780878938476), and Calenge et al. (2009) <doi:10.1016/j.ecoinf.2008.10.002>. Tracking data are series of locations with at least 2-dimensional spatial coordinates (x,y), a time index (t), and individual identification (id) of the object being monitored; movement data are made of trajectories, i.e. the line representation of the path, composed by steps (the straight-line segments connecting successive locations). 'sftrack' is designed to handle movement of both living organisms and inanimate objects.
Author: Matthew Boone [aut] , Rocio Joo [aut] , Mathieu Basille [aut, cre]
Maintainer: Mathieu Basille <mathieu@basille.org>

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Package reproducible updated to version 3.1.1 with previous version 3.1.0 dated 2026-05-16

Title: Enhance Reproducibility of R Code
Description: A collection of high-level, machine- and OS-independent tools for making reproducible and reusable content in R. The two workhorse functions are 'Cache()' and 'prepInputs()'. 'Cache()' allows for nested caching, is robust to environments and objects with environments (like functions), and deals with some classes of file-backed R objects e.g., from 'terra' and 'raster' packages. Both functions have been developed to be foundational components of data retrieval and processing in continuous workflow situations. In both functions, efforts are made to make the first and subsequent calls of functions have the same result, but faster at subsequent times by way of checksums and digesting. Several features are still under development, including cloud storage of cached objects allowing for sharing between users. Several advanced options are available, see '?reproducibleOptions()'.
Author: Eliot J B McIntire [aut, cre] , Alex M Chubaty [aut] , Tati Micheletti [ctb] , Ceres Barros [ctb] , Ian Eddy [ctb] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

Diff between reproducible versions 3.1.0 dated 2026-05-16 and 3.1.1 dated 2026-05-18

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Package poseticDataAnalysis updated to version 1.1.0 with previous version 1.0.0 dated 2025-12-10

Title: Posetic Data Analysis
Description: Build and manipulate partially ordered sets (posets), to perform some data analysis on them and to implement multi-criteria decision making procedures. Several efficient ways for generating linear extensions are implemented, together with functions for building mutual ranking probabilities, incomparability, dominance and separation scores (Fattore, M., De Capitani, L., Avellone, A., Suardi, A. (2024). A fuzzy posetic toolbox for multi-criteria evaluation on ordinal data systems. ANNALS OF OPERATIONS RESEARCH <doi:10.1007/s10479-024-06352-3>).
Author: Alessandro Avellone [aut, cre], Lucio De Capitani [aut], Marco Fattore [aut]
Maintainer: Alessandro Avellone <alessandro.avellone@unimib.it>

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Package gridmicrotex updated to version 0.0.3 with previous version 0.0.2 dated 2026-05-16

Title: Native 'LaTeX' Math Rendering for Grid Graphics
Description: Renders 'LaTeX' math equations as native R grid graphics objects (grobs) using the 'MicroTeX' 'C++' library as the layout engine. Produces resolution-independent vector output that works on any R graphics device, with no external 'LaTeX' installation required.
Author: Alim Dayim [aut, cre] , Nano Michael [cph] , Bundled math font authors [cph]
Maintainer: Alim Dayim <ad938@cam.ac.uk>

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Package dataset readmission to version 0.4.4 with previous version 0.4.1 dated 2025-11-16

Title: Create Data Frames for Exchange and Reuse
Description: The 'dataset' package helps create semantically rich, machine-readable, and interoperable datasets in R. It extends tidy data frames with metadata that preserves meaning, improves interoperability, and makes datasets easier to publish, exchange, and reuse in line with ISO and W3C standards.
Author: Daniel Antal [aut, cre] , Marcelo Perlin [rev] , Anna Marta Mester [rev] , Mauro Lepore [rev]
Maintainer: Daniel Antal <daniel.antal@dataobservatory.eu>

This is a re-admission after prior archival of version 0.4.1 dated 2025-11-16

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Package rblimp updated to version 1.2.0 with previous version 1.1.0 dated 2026-04-14

Title: Integration of 'Blimp' Software into R
Description: Provides an interface to 'Blimp' software for Bayesian latent variable modeling, missing data analysis, and multiple imputation. The package generates 'Blimp' syntax, executes 'Blimp' models, and imports results back into 'R' as structured objects with methods for visualization and analysis. Requires 'Blimp' software (freely available at <https://www.appliedmissingdata.com/blimp>) to be installed separately.
Author: Brian T. Keller [aut, cre, cph]
Maintainer: Brian T. Keller <btkeller@missouri.edu>

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Package multipleOutcomes updated to version 0.16.2 with previous version 0.4 dated 2024-05-30

Title: Joint Covariance and Treatment-Effect Tests for Multiple Outcomes
Description: Fits generalized linear models, Cox proportional-hazards models, log-rank tests, generalized estimating equations, mixed models with repeated measures, Kaplan-Meier curves, and quantile differences jointly across multiple endpoints, and returns the full asymptotic covariance matrix linking them. Implements PATED (Prognostic Assisted Treatment Effect Detection), a randomized-trial method that exploits balanced prognostic covariates to tighten standard errors and increase statistical power without introducing bias.
Author: Han Zhang [aut, cre]
Maintainer: Han Zhang <zhangh.ustc@gmail.com>

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Package hdcuremodels updated to version 0.0.8 with previous version 0.0.7 dated 2026-05-15

Title: High-Dimensional Cure Models
Description: Provides functions for fitting various penalized parametric and semi-parametric mixture cure models with different penalty functions, testing for a significant cure fraction, and testing for sufficient follow-up as described in Fu et al (2022)<doi:10.1002/sim.9513> and Archer et al (2024)<doi:10.1186/s13045-024-01553-6>. False discovery rate controlled variable selection is provided using model-X knock-offs.
Author: Han Fu [aut], Kellie J. Archer [aut, cre] , Tung Lam Nguyen [rev] , Panagiotis Papastamoulis [rev]
Maintainer: Kellie J. Archer <archer.43@osu.edu>

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Package DataQualityDashboard readmission to version 2.8.9 with previous version 2.8.7 dated 2026-03-22

Title: Execute and View Data Quality Checks on OMOP CDM Database
Description: Assesses data quality in Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) databases. Executes data quality checks and provides an R 'shiny' application to view the results.
Author: Katy Sadowski [aut, cre], Clair Blacketer [aut], Maxim Moinat [aut], Ajit Londhe [aut], Anthony Sena [aut], Anthony Molinaro [aut], Frank DeFalco [aut], Pavel Grafkin [aut]
Maintainer: Katy Sadowski <sadowski@ohdsi.org>

This is a re-admission after prior archival of version 2.8.7 dated 2026-03-22

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Package visOmopResults updated to version 1.5.0 with previous version 1.4.2 dated 2026-02-04

Title: Graphs and Tables for OMOP Results
Description: Provides methods to transform omop_result objects into formatted tables and figures, facilitating the visualisation of study results working with the Observational Medical Outcomes Partnership (OMOP) Common Data Model.
Author: Marti Catala [aut] , Nuria Mercade-Besora [aut, cre] , Yuchen Guo [ctb] , Elin Rowlands [ctb] , Marta Alcalde-Herraiz [ctb] , Edward Burn [ctb]
Maintainer: Nuria Mercade-Besora <nuria.mercadebesora@ndorms.ox.ac.uk>

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Package spatstat.univar updated to version 3.2-0 with previous version 3.1-7 dated 2026-03-18

Title: One-Dimensional Probability Distribution Support for the 'spatstat' Family
Description: Estimation of one-dimensional probability distributions including kernel density estimation, weighted empirical cumulative distribution functions, Kaplan-Meier and reduced-sample estimators for right-censored data, heat kernels, special distributions, kernel properties, quantiles and integration.
Author: Adrian Baddeley [aut, cre, cph] , Tilman M. Davies [aut, ctb, cph] , Martin L. Hazelton [aut, ctb, cph] , Ege Rubak [aut, cph] , Rolf Turner [aut, cph] , Greg McSwiggan [ctb, cph]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package origami updated to version 1.0.8 with previous version 1.0.7 dated 2022-10-19

Title: Generalized Framework for Cross-Validation
Description: A general framework for the application of cross-validation schemes to particular functions. By allowing arbitrary lists of results, origami accommodates a range of cross-validation applications. This implementation was first described by Coyle and Hejazi (2018) <doi:10.21105/joss.00512>.
Author: Jeremy Coyle [aut, cph] , Nima Hejazi [aut, cre] , Ivana Malenica [aut] , Rachael Phillips [aut]
Maintainer: Nima Hejazi <nh@nimahejazi.org>

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Package humidity updated to version 0.1.6 with previous version 0.1.5 dated 2019-11-10

Title: Calculate Water Vapor Measures from Temperature and Dew Point
Description: Vapor pressure, relative humidity, absolute humidity, specific humidity, and mixing ratio are commonly used water vapor measures in meteorology. This R package provides functions for calculating saturation vapor pressure (hPa), partial water vapor pressure (Pa), relative humidity (%), absolute humidity (kg/m^3), specific humidity (kg/kg), and mixing ratio (kg/kg) from temperature (K) and dew point (K). Conversion functions between humidity measures are also provided.
Author: Jun Cai [aut, cre]
Maintainer: Jun Cai <caijun@fudan.edu.cn>

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Package glmbayes updated to version 0.9.5 with previous version 0.9.3 dated 2026-05-04

Title: Bayesian Generalized Linear Models (IID Samples)
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.
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>

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Package epiR updated to version 2.0.93 with previous version 2.0.92 dated 2026-04-08

Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson [aut, cre] , Evan Sergeant [aut], Cord Heuer [ctb], Telmo Nunes [ctb], Cord Heuer [ctb], Jonathon Marshall [ctb], Javier Sanchez [ctb], Ron Thornton [ctb], Jeno Reiczigel [ctb], Jim Robison-Cox [ctb], Paola Sebastiani [ctb], Peter Soly [...truncated...]
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

Diff between epiR versions 2.0.92 dated 2026-04-08 and 2.0.93 dated 2026-05-18

 DESCRIPTION                          |    8 +--
 MD5                                  |   82 +++++++++++++++++------------------
 NAMESPACE                            |    2 
 NEWS                                 |    9 +++
 R/epi.pooled.R                       |   59 ++++++++++++++++++++-----
 R/epi.sscc.R                         |   47 +++++++++++---------
 R/epi.ssclus1estb.R                  |   43 +++++++++---------
 R/epi.ssclus1estc.R                  |   54 ++++++++++-------------
 R/epi.ssclus2estb.R                  |   39 ++++++++--------
 R/epi.ssclus2estc.R                  |   49 ++++++++------------
 R/epi.sscohortc.R                    |    4 -
 R/epi.sscompb.R                      |   20 +++++---
 R/epi.sscompc.R                      |   30 +++++++-----
 R/epi.sssimpleestb.R                 |    9 ++-
 R/epi.sssimpleestc.R                 |   11 ++--
 R/epi.ssxsectn.R                     |   16 ++++--
 inst/doc/epiR_descriptive_epi.html   |   16 +++---
 inst/doc/epiR_diagnostic_tests.R     |    2 
 inst/doc/epiR_diagnostic_tests.Rmd   |    6 +-
 inst/doc/epiR_diagnostic_tests.html  |   48 +++++++++++++-------
 inst/doc/epiR_measures_of_assoc.Rmd  |    4 -
 inst/doc/epiR_measures_of_assoc.html |   18 +++----
 inst/doc/epiR_sample_size.R          |   10 ++--
 inst/doc/epiR_sample_size.Rmd        |   10 ++--
 inst/doc/epiR_sample_size.html       |   14 ++---
 inst/doc/epiR_surveillance.html      |   14 ++---
 man/epi.conf.Rd                      |    2 
 man/epi.pooled.Rd                    |   35 ++++++++++----
 man/epi.sscc.Rd                      |    6 ++
 man/epi.ssclus1estb.Rd               |   10 ++--
 man/epi.ssclus1estc.Rd               |   10 ++--
 man/epi.ssclus2estb.Rd               |   12 +++--
 man/epi.ssclus2estc.Rd               |   10 ++--
 man/epi.sscohortc.Rd                 |    8 ++-
 man/epi.sscompb.Rd                   |    6 ++
 man/epi.sscompc.Rd                   |    6 ++
 man/epi.sssimpleestb.Rd              |    8 ++-
 man/epi.sssimpleestc.Rd              |    6 ++
 man/epi.ssxsectn.Rd                  |    6 ++
 vignettes/epiR_diagnostic_tests.Rmd  |    6 +-
 vignettes/epiR_measures_of_assoc.Rmd |    4 -
 vignettes/epiR_sample_size.Rmd       |   10 ++--
 42 files changed, 452 insertions(+), 317 deletions(-)

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Package autotesteR updated to version 0.1.12 with previous version 0.1.7 dated 2025-09-09

Title: Automated Functions for Basic Statistical Tests
Description: Provides simple and intuitive functions for basic statistical analyses. Methods include the t-test (Student 1908 <doi:10.1093/biomet/6.1.1>), the Mann-Whitney U test (Mann and Whitney 1947 <doi:10.1214/aoms/1177730491>), Pearson's correlation (Pearson 1895 <doi:10.1098/rspl.1895.0041>), and analysis of variance (Fisher 1925, <doi:10.1007/978-1-4612-4380-9_5>). Functions are compatible with 'ggplot2' and 'dplyr'.
Author: Luiz Garcia [aut, cre]
Maintainer: Luiz Garcia <luiz.cardoso@ufpr.br>

Diff between autotesteR versions 0.1.7 dated 2025-09-09 and 0.1.12 dated 2026-05-18

 autotesteR-0.1.12/autotesteR/DESCRIPTION               |   18 +-
 autotesteR-0.1.12/autotesteR/LICENSE                   |    4 
 autotesteR-0.1.12/autotesteR/MD5                       |   54 ++++----
 autotesteR-0.1.12/autotesteR/NAMESPACE                 |   37 +++++
 autotesteR-0.1.12/autotesteR/R/globals.R               |   12 -
 autotesteR-0.1.12/autotesteR/R/imports.R               |   30 ++++
 autotesteR-0.1.12/autotesteR/R/preTeste.R              |only
 autotesteR-0.1.12/autotesteR/R/testeAnova.R            |only
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 autotesteR-0.1.12/autotesteR/R/testeFisher.R           |only
 autotesteR-0.1.12/autotesteR/R/testeKruskal.R          |only
 autotesteR-0.1.12/autotesteR/R/testeQui.R              |only
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 autotesteR-0.1.12/autotesteR/R/testeTMulti.R           |only
 autotesteR-0.1.12/autotesteR/R/testeTPareado.R         |only
 autotesteR-0.1.12/autotesteR/R/testeU.R                |only
 autotesteR-0.1.12/autotesteR/R/zzz.R                   |    5 
 autotesteR-0.1.12/autotesteR/README.md                 |   34 +++--
 autotesteR-0.1.12/autotesteR/man/autotesteR-package.Rd |    4 
 autotesteR-0.1.12/autotesteR/man/pre.teste.Rd          |   46 +++----
 autotesteR-0.1.12/autotesteR/man/teste.anova.Rd        |   42 +++---
 autotesteR-0.1.12/autotesteR/man/teste.correlacao.Rd   |  105 ++++++++++-------
 autotesteR-0.1.12/autotesteR/man/teste.fisher.Rd       |   98 +++++++--------
 autotesteR-0.1.12/autotesteR/man/teste.kruskal.Rd      |   94 ++++++---------
 autotesteR-0.1.12/autotesteR/man/teste.qui.Rd          |   95 +++++++--------
 autotesteR-0.1.12/autotesteR/man/teste.t.Rd            |   35 ++---
 autotesteR-0.1.12/autotesteR/man/teste.tmulti.Rd       |only
 autotesteR-0.1.12/autotesteR/man/teste.tpareado.Rd     |only
 autotesteR-0.1.12/autotesteR/man/teste.u.Rd            |   96 ++++++++-------
 autotesteR-0.1.7/autotesteR/R/Kruskal_Wallis.R         |only
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 autotesteR-0.1.7/autotesteR/R/Teste_u.R                |only
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 autotesteR-0.1.7/autotesteR/R/correlacao.R             |only
 autotesteR-0.1.7/autotesteR/man/teste.t.pareado.Rd     |only
 39 files changed, 440 insertions(+), 369 deletions(-)

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