Fri, 22 May 2026

Package LBI updated to version 0.2.4 with previous version 0.2.3 dated 2025-08-21

Title: Likelihood Based Inference
Description: Maximum likelihood estimation and likelihood ratio test are essential for modern statistics. This package supports in calculating likelihood based inference. Reference: Pawitan Y. (2001, ISBN:0-19-850765-8).
Author: Kyun-Seop Bae [aut, cre, cph]
Maintainer: Kyun-Seop Bae <k@acr.kr>

Diff between LBI versions 0.2.3 dated 2025-08-21 and 0.2.4 dated 2026-05-22

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Package multiSA updated to version 0.2.0 with previous version 0.1.1 dated 2026-03-20

Title: Multi-Stock Assessment
Description: Implementation of a next-generation, multi-stock age-structured fisheries assessment model. 'multiSA' is intended for use in mixed fisheries where stock composition can not be readily identified in fishery data alone, e.g., from catch and age/length composition. Models can be fitted to genetic data, e.g., stock composition of catches and close-kin pairs, with seasonal stock availability and movement.
Author: Quang Huynh [aut, cre]
Maintainer: Quang Huynh <quang@bluematterscience.com>

Diff between multiSA versions 0.1.1 dated 2026-03-20 and 0.2.0 dated 2026-05-22

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New package snapr with initial version 0.1.0
Package: snapr
Title: Convenient Snapshot Testing Functions for Packages
Version: 0.1.0
Description: Provides convenient snapshot testing functions for packages, including expect_snapshot_data() for data.frames and expect_snapshot_object() for any R object.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
URL: https://github.com/d-morrison/snapr, https://d-morrison.github.io/snapr/
BugReports: https://github.com/d-morrison/snapr/issues
Depends: R (>= 4.1.0)
Imports: dplyr, jsonlite, readr, testthat, tidyselect, tools, waldo
Suggests: altdoc, bslib, knitr, quarto, rmarkdown, spelling, withr
VignetteBuilder: knitr, quarto
NeedsCompilation: no
Packaged: 2026-05-18 22:19:34 UTC; ezramorrison
Author: Douglas Ezra Morrison [aut, cre]
Maintainer: Douglas Ezra Morrison <demorrison@ucdavis.edu>
Repository: CRAN
Date/Publication: 2026-05-22 20:20:02 UTC

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Package h3sdm updated to version 0.1.2 with previous version 0.1.1 dated 2026-05-13

Title: Species Distribution Modeling with H3 Grids
Description: Provides tools for species distribution modeling using H3 hexagonal grids (Uber Technologies Inc., 2022, <https://h3geo.org>). Facilitates retrieval of species occurrence records, generation of H3 grids, computation of landscape metrics, and preparation of spatial data for modern species distribution models workflows. Designed for biodiversity and landscape ecology research.
Author: Manuel Spinola [aut, cre]
Maintainer: Manuel Spinola <mspinola10@gmail.com>

Diff between h3sdm versions 0.1.1 dated 2026-05-13 and 0.1.2 dated 2026-05-22

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New package BioUtils with initial version 0.1.3
Package: BioUtils
Title: Biological Data Analysis and Visualization
Version: 0.1.3
Description: Provides tools for the analysis and visualization of gene expression data from the NCBI Gene Expression Omnibus (GEO). Implements a complete workflow including data import, quality control, differential expression analysis, co-expression network analysis, pathway enrichment, and multi-gene biomarker discovery. Differential expression uses the empirical Bayes moderated t-statistic of Smyth (2004) <doi:10.2202/1544-6115.1027>. Gene set enrichment analysis follows Subramanian et al. (2005) <doi:10.1073/pnas.0506580102>. Multi-gene biomarker selection uses the LASSO method of Tibshirani (1996) <doi:10.1111/j.2517-6161.1996.tb02080.x>. Effect sizes are computed as Cohen's d following Cohen (1988).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.1.2)
Suggests: knitr, rmarkdown, msigdbr, plotly
VignetteBuilder: knitr
Imports: tidyr, GEOquery, Biobase, limma, glmnet, ggplot2, pheatmap, grDevices, fgsea
URL: https://spencertreadway.github.io/BioUtils/, https://github.com/spencertreadway/BioUtils
NeedsCompilation: no
Packaged: 2026-05-18 23:18:01 UTC; spenc
Author: Spencer Treadway [aut, cre]
Maintainer: Spencer Treadway <spencer.treadway08@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-22 20:24:09 UTC

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Package cdcanthro updated to version 0.2.0 with previous version 0.1.0 dated 2026-03-17

Title: Sex- and Age-Standardized Metrics from the Centers for Disease Control and Prevention (CDC) Growth Charts
Description: Calculation of sex- and age-standardized growth metrics based on the 2000 CDC growth charts. Provides functions to generate z-scores and percentiles for weight, height, and body mass index (BMI) using the LMS method (lambda-mu-sigma). Includes extended BMI z-scores for values above the 95th percentile to more accurately characterize the sex- and age-standardized BMI of children with very high BMIs.
Author: David Freedman [aut, cre]
Maintainer: David Freedman <DavidSFreedman@gmail.com>

Diff between cdcanthro versions 0.1.0 dated 2026-03-17 and 0.2.0 dated 2026-05-22

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Package familiar updated to version 2.0.1 with previous version 2.0.0 dated 2026-04-23

Title: End-to-End Automated Machine Learning and Model Evaluation
Description: Single unified interface for end-to-end modelling of regression, categorical and time-to-event (survival) outcomes. Models created using familiar are self-containing, and their use does not require additional information such as baseline survival, feature clustering, or feature transformation and normalisation parameters. Model performance, calibration, risk group stratification, (permutation) variable importance, individual conditional expectation, partial dependence, and more, are assessed automatically as part of the evaluation process and exported in tabular format and plotted, and may also be computed manually using export and plot functions. Where possible, metrics and values obtained during the evaluation process come with confidence intervals.
Author: Alex Zwanenburg [aut, cre] , Steffen Loeck [aut], German Cancer Research Center [cph], Technische Universitaet Dresden [cph]
Maintainer: Alex Zwanenburg <alexander.zwanenburg@nct-dresden.de>

Diff between familiar versions 2.0.0 dated 2026-04-23 and 2.0.1 dated 2026-05-22

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Package CDCPLACES updated to version 1.2.1 with previous version 1.2.0 dated 2026-02-12

Title: Access the 'CDC PLACES' API
Description: Allows users to seamlessly query several 'CDC PLACES' APIs (<https://data.cdc.gov/browse?q=PLACES%20&sortBy=relevance>) by geography, state, measure, and release year. This package also contains a function to explore the available measures for each release year.
Author: Brenden Smith [aut, cre]
Maintainer: Brenden Smith <smit2535@msu.edu>

Diff between CDCPLACES versions 1.2.0 dated 2026-02-12 and 1.2.1 dated 2026-05-22

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Package ReliaGrowR updated to version 0.7 with previous version 0.6 dated 2026-04-16

Title: Reliability Growth Analysis and Repairable Systems Modeling
Description: Modeling and plotting functions for Reliability Growth Analysis (RGA) and Non-Homogeneous Poisson Process (NHPP) models for repairable systems. RGA models include the Duane (1962) <doi:10.1109/TA.1964.4319640>, NHPP by Crow (1975) (No. AMSAATR138), Piecewise Weibull NHPP by Guo et al. (2010) <doi:10.1109/RAMS.2010.5448029>, and Piecewise Weibull NHPP with Change Point Detection based on the 'segmented' package by Muggeo (2024) <https://cran.r-project.org/package=segmented>. Repairable systems functions include the Mean Cumulative Function (MCF) using the Nelson-Aalen estimator, parametric Power Law and Log-Linear NHPP models, and forecasting.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

Diff between ReliaGrowR versions 0.6 dated 2026-04-16 and 0.7 dated 2026-05-22

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Package msPCA updated to version 0.4.0 with previous version 0.3.0 dated 2026-05-15

Title: Sparse Principal Component Analysis with Multiple Principal Components
Description: Implements an algorithm for computing multiple sparse principal components of a dataset. The method is based on Cory-Wright and Pauphilet "Sparse PCA with Multiple Principal Components" (2026) <doi:10.48550/arXiv.2209.14790>. The algorithm uses an iterative deflation heuristic with a truncated power method applied at each iteration to compute sparse principal components with controlled sparsity.
Author: Ryan Cory-Wright [aut, cph] , Jean Pauphilet [aut, cre, cph]
Maintainer: Jean Pauphilet <jpauphilet@london.edu>

Diff between msPCA versions 0.3.0 dated 2026-05-15 and 0.4.0 dated 2026-05-22

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Package meteo updated to version 2.0-5 with previous version 2.0-4 dated 2026-03-24

Title: RFSI & STRK Interpolation for Meteo and Environmental Variables
Description: Random Forest Spatial Interpolation (RFSI, Sekulić et al. (2020) <doi:10.3390/rs12101687>) and spatio-temporal geostatistical (spatio-temporal regression Kriging (STRK)) interpolation for meteorological (Kilibarda et al. (2014) <doi:10.1002/2013JD020803>, Sekulić et al. (2020) <doi:10.1007/s00704-019-03077-3>) and other environmental variables. Contains global spatio-temporal models calculated using publicly available data.
Author: Milan Kilibarda [aut] , Aleksandar Sekulic [aut, cre] , Tomislav Hengl [ctb], Edzer Pebesma [ctb], Benedikt Graeler [ctb]
Maintainer: Aleksandar Sekulic <asekulic@grf.bg.ac.rs>

Diff between meteo versions 2.0-4 dated 2026-03-24 and 2.0-5 dated 2026-05-22

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Package bigassertr updated to version 0.2.0 with previous version 0.1.7 dated 2025-06-27

Title: Assertion and Message Functions
Description: Enhanced message functions (cat() / message() / warning() / error()) using wrappers around sprintf(). Also, multiple assertion functions (e.g. to check class, length, values, files, arguments, etc.).
Author: Florian Prive [aut, cre]
Maintainer: Florian Prive <florian.prive.21@gmail.com>

Diff between bigassertr versions 0.1.7 dated 2025-06-27 and 0.2.0 dated 2026-05-22

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Package harbinger updated to version 2.0.757 with previous version 2.0.747 dated 2026-05-14

Title: A Unified Time Series Event Detection Framework
Description: By analyzing time series, it is possible to observe significant changes in the behavior of observations that frequently characterize events. Events present themselves as anomalies, change points, or motifs. In the literature, there are several methods for detecting events. However, searching for a suitable time series method is a complex task, especially considering that the nature of events is often unknown. This work presents Harbinger, a framework for integrating and analyzing event detection methods. Harbinger contains several state-of-the-art methods described in Salles et al. (2020) <doi:10.5753/sbbd.2020.13626>.
Author: Eduardo Ogasawara [aut, ths, cre] , Anthony Heimlich [aut], Antonio Castro [aut], Antonio Mello [aut], Diego Carvalho [ctb], Eduardo Bezerra [ctb], Ellen Paixao [aut], Fernando Fraga [aut], Gabriel Giuliano [aut], Heraldo Borges [aut], Igor Andrade [ [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

Diff between harbinger versions 2.0.747 dated 2026-05-14 and 2.0.757 dated 2026-05-22

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Package daltoolboxdp updated to version 1.3.747 with previous version 1.3.737 dated 2026-05-14

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], Erich Carvalho [aut], Janio Lima [aut], Joao Kongevold [aut], Lucas Tavares [aut], Eduardo Bezerra [ctb], CEFET/RJ [cph]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

Diff between daltoolboxdp versions 1.3.737 dated 2026-05-14 and 1.3.747 dated 2026-05-22

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Package tspredit updated to version 2.0.707 with previous version 1.3.707 dated 2026-05-14

Title: Time Series Prediction with Integrated Tuning
Description: Time series prediction is a critical task in data analysis, requiring not only the selection of appropriate models, but also suitable data preprocessing and tuning strategies. TSPredIT (Time Series Prediction with Integrated Tuning) is a framework that provides a seamless integration of data preprocessing, decomposition, model training, hyperparameter optimization, and evaluation. Unlike other frameworks, TSPredIT emphasizes the co-optimization of both preprocessing and modeling steps, improving predictive performance. It supports a variety of statistical and machine learning models, filtering techniques, outlier detection, data augmentation, and ensemble strategies. More information is available in Salles et al. <doi:10.1007/978-3-662-68014-8_2>.
Author: Eduardo Ogasawara [aut, ths, cre] , Cristiane Gea [aut], Diego Carvalho [ctb], Diogo Santos [aut], Arthur Garcia [aut], Eduardo Bezerra [ctb], Esther Pacitti [ctb], Fabio Porto [ctb], Fernando Alexandrino [aut], Rebecca Salles [aut], Vitoria Birindib [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

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Package SeroTrackR updated to version 1.1.0 with previous version 1.0.0 dated 2026-03-26

Title: Serology-Based Data Analysis and Visualization
Description: Data wrangling and cleaning, quality control checks and implementation of machine learning classification algorithm.
Author: Dionne Argyropoulos [aut, cre]
Maintainer: Dionne Argyropoulos <argyropoulos.d@wehi.edu.au>

Diff between SeroTrackR versions 1.0.0 dated 2026-03-26 and 1.1.0 dated 2026-05-22

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Package fmpcloudr updated to version 0.1.7 with previous version 0.1.5 dated 2021-03-01

Title: R Access to the 'FMP Cloud' and 'Financial Modeling Prep' API
Description: Use R to access to the 'Financial Modeling Prep' API <https://site.financialmodelingprep.com>. Data available includes stock prices, market indexes, company fundamentals, 13F holdings data, and much more. A valid API token must be set to enable functions.
Author: Anthony Trevisan [aut, cre]
Maintainer: Anthony Trevisan <tony@altanalyticsllc.com>

Diff between fmpcloudr versions 0.1.5 dated 2021-03-01 and 0.1.7 dated 2026-05-22

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New package tsitter with initial version 0.1.0
Package: tsitter
Title: Tree-Sitter Parsing Tools
Version: 0.1.0
Description: Common tree-sitter (<https://tree-sitter.github.io/tree-sitter/>) parsing tools for R. It is meant to be used by other packages that specialize in particular languages and file formats.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: cli, utils
Suggests: magrittr, pillar, testthat (>= 3.0.0), tsjsonc, tstoml, withr
Additional_repositories: https://github.com/r-lib/tsitter/releases/download
Encoding: UTF-8
URL: https://github.com/r-lib/tsitter, https://r-lib.github.io/tsitter/
BugReports: https://github.com/r-lib/tsitter/issues
Biarch: true
NeedsCompilation: yes
Packaged: 2026-05-18 16:10:11 UTC; gaborcsardi
Author: Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd] , Tree-sitter authors [cph] , ICU authors [cph]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-22 09:20:02 UTC

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Package parglm updated to version 0.1.10 with previous version 0.1.9-1 dated 2026-05-14

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

Diff between parglm versions 0.1.9-1 dated 2026-05-14 and 0.1.10 dated 2026-05-22

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New package megatrees with initial version 1.0.0
Package: megatrees
Title: Subsets of Randomly Selected Phylogenies from Existing Mega-Phylogenies
Version: 1.0.0
Maintainer: Daijiang Li <daijianglee@gmail.com>
Description: There are an increasing number of mega-phylogenies available nowadays, with many of them being sets of thousands of posterior distribution phylogenies. For ecological studies, we may need to randomly select many such posterior phylogenies to conduct analyses. This data package serves this purpose by providing a small number (100 or 50) of randomly selected posterior phylogenies (if available) so that we can readily use them for our downstream analyses without repeating the downloading and selecting processes.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Suggests: piggyback, testthat (>= 3.0.0), dplyr, stringr
Depends: R (>= 3.5), ape
NeedsCompilation: no
Packaged: 2026-05-18 15:37:52 UTC; dli
Author: Daijiang Li [aut, cre]
Repository: CRAN
Date/Publication: 2026-05-22 09:20:08 UTC

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Package mathml updated to version 1.8 with previous version 1.7 dated 2026-01-17

Title: Translate R Expressions to 'MathML' and 'LaTeX'/'MathJax'
Description: Translate R expressions to 'MathML' or 'MathJax'/'LaTeX' so that they can be rendered in R markdown documents and shiny apps. This package depends on R package 'rolog', which requires an installation of the 'SWI'-'Prolog' runtime either from 'swi-prolog.org' or from R package 'rswipl'.
Author: Matthias Gondan [aut, cre, cph] , Irene Alfarone [aut] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

Diff between mathml versions 1.7 dated 2026-01-17 and 1.8 dated 2026-05-22

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New package free1way.docreg with initial version 1.0-0
Package: free1way.docreg
Title: Additional Documentation and Regression Tests for 'stats::free1way()'
Date: 2026-05-18
Version: 1.0-0
Description: Function 'stats::free1way()' implements semiparametrically efficient population- and permutation-based inference in distribution-free stratified K-sample oneway layouts. This package provides additional documentation, including a detailed description of the implementation, and serves as a home for extensive regression tests.
Depends: R (>= 4.6.0)
Suggests: Matrix, rms, survival, MASS, tram, coin, multcomp, TH.data, Hmisc, latticeExtra, daewr
License: GPL-2
NeedsCompilation: no
Packaged: 2026-05-18 12:26:37 UTC; hothorn
Author: Torsten Hothorn [aut, cre], Kurt Hornik [aut], Frank E Harrell Jr [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>
Repository: CRAN
Date/Publication: 2026-05-22 09:10:02 UTC

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New package demor with initial version 1.0.10
Package: demor
Title: Methods for Demographic Analysis
Version: 1.0.10
Description: Implements life tables, fertility and mortality indicators, decomposition methods, Lee-Carter mortality forecasting, Leslie matrices, and population pyramids for demographic analysis. Methods are described in Preston et al. (2001, ISBN:1557864519) and Ustyuzhanin (2025) <doi:10.17323/demreview.v12i4.30415>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, forecast, ggplot2, magrittr, tidyr, scales, splines
Depends: R (>= 4.0.0)
LazyData: true
LazyDataCompression: gzip
LazyLoad: true
Suggests: knitr, rmarkdown, stringr, testthat
URL: https://vadvu.github.io/demor/, https://github.com/vadvu/demor
BugReports: https://github.com/vadvu/demor/issues
NeedsCompilation: no
Packaged: 2026-05-18 16:41:59 UTC; vvust
Author: Vadim Ustyuzhanin [aut, cre]
Maintainer: Vadim Ustyuzhanin <vadim.v.ustyuzhanin@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-22 09:30:02 UTC

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New package BSET with initial version 1.0
Package: BSET
Title: A Bayesian Surrogate Evaluation Test
Version: 1.0
Date: 2026-05-15
Description: An implementation of the Bayesian Surrogate Evaluation Test (BSET) for assessing the validity of surrogate markers in clinical trials. Provides hypothesis testing tools to evaluate whether a surrogate can reliably estimate the causal effect of a treatment on a primary outcome. Implements the imputation-based Bayesian methodology of Carlotti and Parast (2026) <doi:10.48550/arXiv.2603.14381>, extending the frequentist rank-based approach of Parast et al. (2024) <doi:10.1093/biomtc/ujad035>. Addresses key limitations of the frequentist method, including the lack of causal interpretability and the inability to adjust for covariates in the estimation process.
License: GPL-3
URL: https://pietrocarlotti.github.io/BSET/, https://github.com/PietroCarlotti/BSET
BugReports: https://github.com/PietroCarlotti/BSET/issues
Encoding: UTF-8
LazyData: true
Imports: rstan, ggplot2, future, parallel, mvtnorm, dplyr, SurrogateRank, Rdpack, rlang
Suggests: knitr, rmarkdown, bookdown,
VignetteBuilder: knitr, bookdown
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-05-18 18:13:14 UTC; pc29642
Author: Pietro Carlotti [aut, cre], Layla Parast [aut]
Maintainer: Pietro Carlotti <pietro.carlotti@utexas.edu>
Repository: CRAN
Date/Publication: 2026-05-22 09:32:08 UTC

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Package mlr3db updated to version 0.7.2 with previous version 0.7.1 dated 2026-02-28

Title: Data Base Backend for 'mlr3'
Description: Extends the 'mlr3' package with a backend to transparently work with databases such as 'SQLite', 'DuckDB', 'MySQL', 'MariaDB', or 'PostgreSQL'. The package provides three additional backends: 'DataBackendDplyr' relies on the abstraction of package 'dbplyr' to interact with most DBMS. 'DataBackendDuckDB' operates on 'DuckDB' data bases and also on Apache Parquet files. 'DataBackendPolars' operates on 'Polars' data frames.
Author: Michel Lang [aut] , Lona Koers [aut], Marc Becker [cre, aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3db versions 0.7.1 dated 2026-02-28 and 0.7.2 dated 2026-05-22

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Package JMbdirect updated to version 0.1.1 with previous version 0.1.0 dated 2025-03-11

Title: Joint Model for Longitudinal and Multiple Time to Events Data
Description: Provides model fitting, prediction, and plotting for joint models of longitudinal and multiple time-to-event data, including methods from Rizopoulos (2012) <doi:10.1201/b12208>. Useful for handling complex survival and longitudinal data in clinical research.
Author: Atanu Bhattacharjee [aut, cre]
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>

Diff between JMbdirect versions 0.1.0 dated 2025-03-11 and 0.1.1 dated 2026-05-22

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Package isoWater updated to version 1.2.2 with previous version 1.2.1 dated 2025-07-01

Title: Discovery, Retrieval, and Analysis of Water Isotope Data
Description: The wiDB...() functions provide an interface to the public API of the wiDB <https://github.com/SPATIAL-Lab/isoWater/blob/master/Protocol.md>: build, check and submit queries, and receive and unpack responses. Data analysis functions support Bayesian inference of the source and source isotope composition of water samples that may have experienced evaporation. Algorithms adapted from Bowen et al. (2018, <doi:10.1007/s00442-018-4192-5>).
Author: Gabe Bowen [aut, cre]
Maintainer: Gabe Bowen <gabe.bowen@utah.edu>

Diff between isoWater versions 1.2.1 dated 2025-07-01 and 1.2.2 dated 2026-05-22

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Package doFuture updated to version 1.2.2 with previous version 1.2.1 dated 2026-02-20

Title: Use Foreach to Parallelize via the Future Framework
Description: The 'future' package provides a unifying parallelization framework for R that supports many parallel and distributed backends <doi:10.32614/RJ-2021-048>. The 'foreach' package provides a powerful API for iterating over an R expression in parallel. The 'doFuture' package brings the best of the two together. There are two alternative ways to use this package. The recommended approach is to use 'y <- foreach(...) %dofuture% { ... }', which does not require using 'registerDoFuture()' and has many advantages over '%dopar%'. The alternative is the traditional 'foreach' approach by registering the 'foreach' adapter 'registerDoFuture()' and so that 'y <- foreach(...) %dopar% { ... }' runs in parallelizes with the 'future' framework.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between doFuture versions 1.2.1 dated 2026-02-20 and 1.2.2 dated 2026-05-22

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Package binsreg updated to version 2.1 with previous version 2.0 dated 2026-05-15

Title: Binscatter Estimation and Inference
Description: Provides tools for statistical analysis using the binscatter methods developed by Cattaneo, Crump, Farrell and Feng (2024) <https://nppackages.github.io/references/Cattaneo-Crump-Farrell-Feng_2024_AER.pdf>, Cattaneo, Crump, Farrell and Feng (2025) <https://nppackages.github.io/references/Cattaneo-Crump-Farrell-Feng_2025_Stata.pdf> and Cattaneo, Crump, Farrell and Feng (2026) <https://nppackages.github.io/references/Cattaneo-Crump-Farrell-Feng_2026_RESTAT.pdf>. Binscatter provides a flexible way of describing the relationship between two variables based on partitioning/binning of the independent variable of interest. binsreg(), binsqreg() and binsglm() implement binscatter least squares regression, quantile regression and generalized linear regression respectively, with particular focus on constructing binned scatter plots. They also implement robust (pointwise and uniform) inference of regression functions and derivatives thereof. binstest() implements hypothesis test [...truncated...]
Author: Matias D. Cattaneo [aut, cre], Richard K. Crump [aut], Max H. Farrell [aut], Yingjie Feng [aut]
Maintainer: Matias D. Cattaneo <matias.d.cattaneo@gmail.com>

Diff between binsreg versions 2.0 dated 2026-05-15 and 2.1 dated 2026-05-22

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Package spatstat.Knet updated to version 3.1-3 with previous version 3.1-2 dated 2024-09-05

Title: Extension to 'spatstat' for Large Datasets on a Linear Network
Description: Extension to the 'spatstat' family of packages, for analysing large datasets of spatial points on a network. The geometrically- corrected K function is computed using a memory-efficient tree-based algorithm described by Rakshit, Baddeley and Nair (2019).
Author: Suman Rakshit [aut, cph] , Adrian Baddeley [cre, cph]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.Knet versions 3.1-2 dated 2024-09-05 and 3.1-3 dated 2026-05-22

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Package RGraphSpace updated to version 1.3.0 with previous version 1.2.0 dated 2026-04-25

Title: A Lightweight Interface Between 'igraph' and 'ggplot2' Graphics
Description: An interface to integrate 'igraph' and 'ggplot2' graphics within a normalized coordinate system. 'RGraphSpace' implements geometric objects based on 'ggplot2' prototypes, optimized for the representation of large networks. The package provides three specialized 'geoms' to translate graph data into geometric layers, supporting customization of aesthetics and visual styles. These 'geoms' use a dual-anchor normalization approach to align layers, required for analyses where network elements must be referenced to a spatial map. 'RGraphSpace' aims to facilitate side-by-side visualization of multiple graphs spatially aligned with reference maps and images.
Author: Sysbiolab Team [aut], Flavio Kessler [ctb], Jonathan Back [ctb], Lana Querne [ctb], Victor Apolonio [ctb], Vinicius Chagas [ctb], Mauro Castro [cre]
Maintainer: Mauro Castro <mauro.a.castro@gmail.com>

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Package copBasic updated to version 2.2.14 with previous version 2.2.11 dated 2025-11-03

Title: General Bivariate Copula Theory and Many Utility Functions
Description: Extensive functions for bivariate copula (bicopula) computations and related operations for bicopula theory. The lower, upper, product, and select other bicopula are implemented along with operations including the diagonal, survival copula, dual of a copula, co-copula, and numerical bicopula density. Level sets, horizontal and vertical sections are supported. Numerical derivatives and inverses of a bicopula are provided through which simulation is implemented. Bicopula composition, convex combination, asymmetry extension, and products also are provided. Support extends to the Kendall Function as well as the Lmoments thereof. Kendall Tau, Spearman Rho and Footrule, Gini Gamma, Blomqvist Beta, Hoeffding Phi, Schweizer- Wolff Sigma, tail dependency, tail order, skewness, and bivariate Lmoments are implemented, and positive/negative quadrant dependency, left (right) increasing (decreasing) are available. Other features include Kullback-Leibler Divergence, Vuong Procedure, spectral measure, [...truncated...]
Author: William Asquith [aut, cre]
Maintainer: William Asquith <william.asquith@ttu.edu>

Diff between copBasic versions 2.2.11 dated 2025-11-03 and 2.2.14 dated 2026-05-22

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Package BeeBDC updated to version 1.3.4 with previous version 1.3.3 dated 2026-02-06

Title: Occurrence Data Cleaning
Description: Flags and checks occurrence data that are in Darwin Core format. The package includes generic functions and data as well as some that are specific to bees. This package is meant to build upon and be complimentary to other excellent occurrence cleaning packages, including 'bdc' and 'CoordinateCleaner'. This package uses datasets from several sources and particularly from the Discover Life Website, created by Ascher and Pickering (2020). For further information, please see the original publication and package website. Publication - Dorey et al. (2023) <doi:10.1101/2023.06.30.547152> and package website - Dorey et al. (2023) <https://github.com/jbdorey/BeeBDC>.
Author: James B. Dorey [aut, cre, cph] , Robert L. O'Reilly [aut] , Silas Bossert [aut] , Erica E. Fischer [aut]
Maintainer: James B. Dorey <jbdorey@me.com>

Diff between BeeBDC versions 1.3.3 dated 2026-02-06 and 1.3.4 dated 2026-05-22

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Package Bayesiangammareg updated to version 0.1.1 with previous version 0.1.0 dated 2020-02-06

Title: Double Generalized Gamma Regression Models
Description: Fits double generalized Gamma regression models from a Bayesian perspective, where both the mean and shape parameters are modeled simultaneously using flexible link functions. The methodology is based on Cepeda-Cuervo and Urdinola (2012) <doi:10.1080/03610918.2011.600500> and extended in Cepeda-Cuervo (2026), 'Double Generalized Linear Models: Likelihood and Bayesian Methods' (ISBN: 9781041169970). The package provides parameter estimation, model fitting, and model comparison tools, including Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC).
Author: Arturo Camargo-Lozano [aut, cre], Edilberto Cepeda-Cuervo [aut]
Maintainer: Arturo Camargo-Lozano <bacamargol@unal.edu.co>

Diff between Bayesiangammareg versions 0.1.0 dated 2020-02-06 and 0.1.1 dated 2026-05-22

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