Sat, 11 Jul 2026

New package simtte with initial version 1.0.1
Package: simtte
Title: Simulate Time-to-Event Data Using Weibull and Spline Models
Version: 1.0.1
Language: en-US
Description: Simulates time-to-event (survival) datasets for clinical trial design and analysis. Supports Weibull and flexible M-spline baseline hazard models via the 'mrgsolve' ordinary differential equation solver backend. Implements inverse transform sampling from cumulative hazard functions to generate event times. See Bender et al. (2005) <doi:10.1002/sim.2059> for the inverse transform sampling methodology and Royston and Parmar (2002) <doi:10.1002/sim.1203> for flexible parametric survival models.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: dplyr, magrittr, mrgsolve
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/csetraynor/simtte
BugReports: https://github.com/csetraynor/simtte/issues
NeedsCompilation: no
Packaged: 2026-07-04 07:50:04 UTC; carlostraynor
Author: Carlos Traynor [aut, cre]
Maintainer: Carlos Traynor <carlos.traynor.qcp@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-11 07:50:02 UTC

More information about simtte at CRAN
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Package onemap updated to version 3.2.6 with previous version 3.2.4 dated 2026-01-12

Title: Construction of Genetic Maps in Experimental Crosses
Description: Analysis of molecular marker data from model and non-model systems. For the later, it allows statistical analysis by simultaneously estimating linkage and linkage phases (genetic map construction) according to Wu and colleagues (2002) <doi:10.1006/tpbi.2002.1577>. All analysis are based on multi-point approaches using hidden Markov models.
Author: Cristiane Taniguti [aut, cre], Marcelo Mollinari [aut], Rodrigo Amadeu [ctb], Getulio Ferreira [ctb], Gabriel Margarido [aut], Jeekin Lau [ctb], Karl Broman [ctb], Katharine Preedy [ctb, cph] , Bastian Schiffthaler [ctb, cph] , Augusto Garcia [aut, c [...truncated...]
Maintainer: Cristiane Taniguti <ctaniguti@ufl.edu>

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Package ham updated to version 1.3.0 with previous version 1.2.0 dated 2026-03-19

Title: Healthcare Analysis Methods
Description: Conducts analyses for healthcare program evaluations or intervention studies. Calculates regression analyses for standard ordinary least squares (OLS or linear) or logistic models. Performs regression models used for causal modeling such as differences-in-differences (DID) and interrupted time series (ITS) models. Provides limited interpretations of model results and a ranking of variable importance in models. Performs propensity score models, top-coding of model outcome variables, and can return new data with the newly formed variables. Conducts Bayesian analysis summaries and graphs, decision curve analysis, and produces some Shewhart control charts. Also performs Cronbach's alpha for various scale items (e.g., survey questions). See Github URL for examples in the README file. For more details on the statistical methods, see Allen & Yen (1979, ISBN:0-8185-0283-5), Angrist & Pischke (2009, ISBN:9780691120355), Cohen (1988, ISBN:0-8058-0283-5), Gebski (2012) <doi:10.1017/S0 [...truncated...]
Author: Stephen Zuniga [aut, cre, cph]
Maintainer: Stephen Zuniga <rms.shiny@gmail.com>

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Package treeSS updated to version 0.2.5 with previous version 0.2.4 dated 2026-07-02

Title: Tree-Spatial Scan Statistic for Cluster Detection
Description: Implements the tree-spatial scan statistic for detecting clusters that combine both spatial and hierarchical structures, as proposed by Cancado et al. (2025) <doi:10.1007/s10651-025-00670-w>. The method extends Kulldorff (1997) <doi:10.1080/03610929708831995> circular spatial scan statistic and the tree-based scan statistic of Kulldorff et al. (2003) <doi:10.1111/1541-0420.00039> by searching for anomalies in both geographic regions and branches of hierarchical trees simultaneously. The package also provides standalone implementations of Kulldorff's circular spatial scan statistic and the tree-based scan statistic. Statistical significance is assessed via Monte Carlo simulation under a Poisson or binomial model, with optional 'OpenMP' parallelization.
Author: Allan Quadros [aut, cre] , Andre L. F. Cancado [aut] , Geiziane S. Oliveira [aut], Luiz H. Duczmal [aut]
Maintainer: Allan Quadros <allanvcq@gmail.com>

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Package mRpostman updated to version 1.2.2 with previous version 1.1.4 dated 2024-09-17

Title: An IMAP Client for R
Description: A session-based IMAP client that implements the full functionality of the IMAP4rev1 protocol (RFC 3501), allowing virtually all e-mail operations to be performed from within R, paving the way for e-mail data analysis.
Author: Allan Quadros [aut, cre] , Paul Smith [ctb], Kurt Hornik [ctb]
Maintainer: Allan Quadros <allanvcq@gmail.com>

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Package litedown updated to version 0.10 with previous version 0.9 dated 2025-12-18

Title: A Lightweight Version of R Markdown
Description: Render R Markdown to Markdown (without using 'knitr'), and Markdown to lightweight HTML or 'LaTeX' documents with the 'commonmark' package (instead of 'Pandoc'). Some missing Markdown features in 'commonmark' are also supported, such as raw HTML or 'LaTeX' blocks, 'LaTeX' math, superscripts, subscripts, footnotes, element attributes, and appendices, but not all 'Pandoc' Markdown features are (or will be) supported. With additional JavaScript and CSS, you can also create HTML slides and articles. This package can be viewed as a trimmed-down version of R Markdown and 'knitr'. It does not aim at rich Markdown features or a large variety of output formats (the primary formats are HTML and 'LaTeX'). Book and website projects of multiple input documents are also supported.
Author: Yihui Xie [aut, cre] , Tim Taylor [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Fri, 10 Jul 2026

Package RQuantLib updated to version 0.4.28 with previous version 0.4.27 dated 2026-06-07

Title: R Interface to the 'QuantLib' Library
Description: The 'RQuantLib' package makes parts of 'QuantLib' accessible from R The 'QuantLib' project aims to provide a comprehensive software framework for quantitative finance. The goal is to provide a standard open source library for quantitative analysis, modeling, trading, and risk management of financial assets.
Author: Dirk Eddelbuettel [aut, cre] , Khanh Nguyen [aut] , Terry Leitch [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package quadmesh updated to version 0.6.0 with previous version 0.5.5 dated 2022-08-31

Title: Quadrangle Mesh
Description: Create surface forms from matrix or 'raster' data for flexible plotting and conversion to other mesh types. The functions 'quadmesh' or 'triangmesh' produce a continuous surface as a 'mesh3d' object as used by the 'rgl' package. This is used for plotting raster data in 3D (optionally with texture), and allows the application of a map projection without data loss and many processing applications that are restricted by inflexible regular grid rasters. There are discrete forms of these continuous surfaces available with 'dquadmesh' and 'dtriangmesh' functions.
Author: Michael D. Sumner [aut, cre]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

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Package psychotools updated to version 0.7-7 with previous version 0.7-6 dated 2026-02-11

Title: Psychometric Modeling Infrastructure
Description: Infrastructure for psychometric modeling such as data classes (for item response data and paired comparisons), basic model fitting functions (for Bradley-Terry, Rasch, parametric logistic IRT, generalized partial credit, rating scale, multinomial processing tree models), extractor functions for different types of parameters (item, person, threshold, discrimination, guessing, upper asymptotes), unified inference and visualizations, and various datasets for illustration. Intended as a common lightweight and efficient toolbox for psychometric modeling and a common building block for fitting psychometric mixture models in package "psychomix" and trees based on psychometric models in package "psychotree".
Author: Achim Zeileis [aut, cre] , Carolin Strobl [aut] , Florian Wickelmaier [aut], Basil Komboz [aut], Julia Kopf [aut], Lennart Schneider [aut] , Rudolf Debelak [aut]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package psychomix updated to version 1.1-10 with previous version 1.1-9 dated 2024-09-10

Title: Psychometric Mixture Models
Description: Psychometric mixture models based on 'flexmix' infrastructure. At the moment Rasch mixture models with different parameterizations of the score distribution (saturated vs. mean/variance specification), Bradley-Terry mixture models, and MPT mixture models are implemented. These mixture models can be estimated with or without concomitant variables. See Frick et al. (2012) <doi:10.18637/jss.v048.i07> and Frick et al. (2015) <doi:10.1177/0013164414536183> for details on the Rasch mixture models.
Author: Hannah Frick [aut] , Friedrich Leisch [aut] , Carolin Strobl [aut] , Florian Wickelmaier [aut], Achim Zeileis [aut, cre]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package viewpoly updated to version 1.0.2 with previous version 0.4.1 dated 2024-03-28

Title: A Shiny App to Visualize Genetic Maps and QTL Analysis in Polyploid Species
Description: Provides a graphical user interface to integrate, visualize and explore results from linkage and quantitative trait loci analysis, together with genomic information for autopolyploid species. The app is meant for interactive use and allows users to optionally upload different sources of information, including gene annotation and alignment files, enabling the exploitation and search for candidate genes in a genome browser. In its current version, 'VIEWpoly' supports inputs from 'MAPpoly', 'polymapR', 'diaQTL', 'QTLpoly', 'polyqtlR', 'GWASpoly', and 'HIDECAN' packages.
Author: Cristiane Taniguti [aut, cre], Gabriel de Siqueira Gesteira [aut], Jeekin Lau [aut], Olivia Angelin-Bonnet [aut], Susan Thomson [ctb], Guilherme da Silva Pereira [ctb], David Byrne [ctb], Zhao-Bang Zeng [ctb], Oscar Riera-Lizarazu [ctb], Marcelo Moll [...truncated...]
Maintainer: Cristiane Taniguti <ctaniguti@ufl.edu>

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Package seekr updated to version 0.2.0 with previous version 0.1.4 dated 2026-02-08

Title: Search, Inspect, and Replace Text Across Files
Description: An inspectable and composable workflow for search-and-replace in text files. Files can be listed, filtered, and searched separately, with inspectable exclusions showing what was excluded and why. Matches are represented as structured vectors that can be printed with context, summarized, and filtered. Replacements can be defined at search time or set and updated after the search. Only matches present in the vector are modified when files are written. Backup and restore helpers are provided for file workflows. Text that has already been read can also be searched and updated directly, giving users control over input, output, and encoding when needed.
Author: Sacha Martingay [aut, cre, cph]
Maintainer: Sacha Martingay <martingay.sacha@hotmail.com>

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Package psm3mkv updated to version 0.3.3 with previous version 0.3.2 dated 2024-06-07

Title: Evaluate Partitioned Survival and State Transition Models
Description: Fits and evaluates three-state partitioned survival analyses (PartSAs) and Markov models (clock forward or clock reset) to progression and overall survival data typically collected in oncology clinical trials. These model structures are typically considered in cost-effectiveness modeling in advanced/metastatic cancer indications. Muston (2024). "Informing structural assumptions for three state oncology cost-effectiveness models through model efficiency and fit". Applied Health Economics and Health Policy.
Author: Dominic Muston [aut, cre] , Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph, fnd]
Maintainer: Dominic Muston <dom.muston@gmail.com>

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Package Nestimate updated to version 0.8.0 with previous version 0.6.0 dated 2026-05-31

Title: Network Estimation, Bootstrap, and Higher-Order Analysis
Description: Estimate, compare, and analyze dynamic and psychological networks using a unified interface. Provides transition network analysis estimation (transition, frequency, co-occurrence, attention-weighted) Saqr et al. (2025) <doi:10.1145/3706468.3706513>, psychological network methods (correlation, partial correlation, 'graphical lasso', 'Ising') Saqr, Beck, and Lopez-Pernas (2024) <doi:10.1007/978-3-031-54464-4_19>, and higher-order network methods including higher-order networks, higher-order network embedding, hyper-path anomaly, and multi-order generative model. Supports bootstrap inference, permutation testing, split-half reliability, centrality stability analysis, mixed Markov models, multi-cluster multi-layer networks and clustering.
Author: Mohammed Saqr [aut, cre, cph], Sonsoles Lopez-Pernas [aut], Kamila Misiejuk [aut]
Maintainer: Mohammed Saqr <saqr@saqr.me>

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Package ivreg updated to version 0.6-8 with previous version 0.6-7 dated 2026-03-02

Title: Instrumental-Variables Regression by '2SLS', '2SM', or '2SMM', with Diagnostics
Description: Instrumental variable estimation for linear models by two-stage least-squares (2SLS) regression or by robust-regression via M-estimation (2SM) or MM-estimation (2SMM). The main ivreg() model-fitting function is designed to provide a workflow as similar as possible to standard lm() regression. A wide range of methods is provided for fitted ivreg model objects, including extensive functionality for computing and graphing regression diagnostics in addition to other standard model tools.
Author: John Fox [aut] , Christian Kleiber [aut] , Achim Zeileis [aut, cre] , Nikolas Kuschnig [ctb] , R Core Team [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package impala updated to version 0.1.2 with previous version 0.1.0 dated 2026-06-19

Title: Bayesian Model Calibration
Description: Package provides tools for modular Bayesian model calibration. these tools allow for posterior exploration with sampling methods including tempering and adaptive Markov Chain Monte Carlo (MCMC). Allows for pooled calibration or hierarchal calibration of parameters. For more information see Francom et al., 2025 <DOI:10.1137/24M1644092>.
Author: J. Derek Tucker [aut, cre] , Sandia National Laboratories [cph, fnd]
Maintainer: J. Derek Tucker <jdtuck@sandia.gov>

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Package glmx updated to version 0.2-3 with previous version 0.2-2 dated 2026-06-12

Title: Generalized Linear Models Extended
Description: Extended techniques for generalized linear models (GLMs), especially for binary responses, including parametric links and heteroscedastic latent variables.
Author: Achim Zeileis [aut, cre] , Roger Koenker [aut] , Philipp Doebler [aut]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package climate updated to version 1.4.0 with previous version 1.3.0 dated 2026-03-04

Title: Interface to Download Meteorological (and Hydrological) Datasets
Description: Automatize downloading of meteorological and hydrological data from publicly available repositories: OGIMET (<http://ogimet.com/index.phtml.en>), University of Wyoming - atmospheric vertical profiling data (<http://weather.uwyo.edu/upperair/>), Polish Institute of Meteorology and Water Management - National Research Institute (<https://danepubliczne.imgw.pl>), and National Oceanic & Atmospheric Administration (NOAA). This package also allows for searching geographical coordinates for each observation and calculate distances to the nearest stations.
Author: Bartosz Czernecki [aut, cre] , Arkadiusz Glogowski [aut] , Jakub Nowosad [aut] , IMGW-PIB [ctb]
Maintainer: Bartosz Czernecki <nwp@amu.edu.pl>

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Package bbk updated to version 0.12.0 with previous version 0.11.0 dated 2026-06-11

Title: Client for Central Bank APIs
Description: A client for retrieving data and metadata from central bank APIs including 'Banco Central do Brasil' (BCB), 'Banco de EspaƱa' (BdE), 'Banco de MƩxico' (Banxico), 'Banco de Portugal' (BdP), 'Bank for International Settlements' (BIS), 'Bank of Canada' (BoC), 'Bank of England' (BoE), 'Bank of Japan' (BoJ), 'Banque de France' (BdF), 'Czech National Bank' (CNB), 'Deutsche Bundesbank' (BBk), 'European Central Bank' (ECB), 'National Bank of Poland' (NBP), 'Norges Bank' (NoB), 'Oesterreichische Nationalbank' (OeNB), 'Sveriges Riksbank' (SRb), and 'Swiss National Bank' (SNB).
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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 104 files changed, 460 insertions(+), 181 deletions(-)

More information about bbk at CRAN
Permanent link

Package arcgisutils updated to version 0.6.0 with previous version 0.5.0 dated 2026-03-04

Title: R-ArcGIS Bridge Utility Functions
Description: Developer oriented utility functions designed to be used as the building blocks of R packages that work with ArcGIS Location Services. It provides functionality for authorization, Esri JSON construction and parsing, as well as other utilities pertaining to geometry and Esri type conversions. To support 'ArcGIS Pro' users, authorization can be done via 'arcgisbinding'. Installation instructions for 'arcgisbinding' can be found at <https://developers.arcgis.com/r-bridge/installation/>.
Author: Josiah Parry [aut, cre] , Kenneth Vernon [ctb] , Martha Bass [ctb] , Eli Pousson [ctb] , Ryan Zomorrodi [ctb]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

Diff between arcgisutils versions 0.5.0 dated 2026-03-04 and 0.6.0 dated 2026-07-10

 DESCRIPTION                                 |   13 +++--
 MD5                                         |   65 ++++++++++++++--------------
 NEWS.md                                     |   18 +++++++
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 README.md                                   |   31 ++++++++-----
 man/arc_group.Rd                            |    2 
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 man/content.Rd                              |    6 ++
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Package vasicekfit updated to version 0.2.0 with previous version 0.1.0 dated 2026-04-28

Title: Extended Vasicek Credit Loss Model with Macroeconomic Factors
Description: Fits the extended Vasicek single-factor credit loss model where the probability of default depends on macroeconomic covariates. Maximum likelihood estimates of all parameters, including asset value correlation, are obtained via closed-form probit-transformed OLS regression; see Mayorov (2026) <doi:10.2139/ssrn.6506378> for derivation.
Author: Dmitriy Mayorov [aut, cre]
Maintainer: Dmitriy Mayorov <cran@dimview.org>

Diff between vasicekfit versions 0.1.0 dated 2026-04-28 and 0.2.0 dated 2026-07-10

 DESCRIPTION                        |    8 +--
 MD5                                |   25 ++++++-----
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 README.md                          |    7 ++-
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 man/vasicekfit-methods.Rd          |   44 +++++++++++++++++---
 man/vasicekfit.Rd                  |   10 +++-
 tests/testthat/test-predict.R      |   24 +++++++++--
 tests/testthat/test-vasicekfit.R   |   21 +++++++++
 tests/testthat/test-vcov-confint.R |   78 +++++++++++++++++++++++++++++++++++++
 14 files changed, 291 insertions(+), 69 deletions(-)

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New package truchet with initial version 0.0.1.1
Package: truchet
Title: Tiles and Random Mosaics Truchet Style Using the 'sf' Framework
Version: 0.0.1.1
Description: Functions to create Truchet tiles, so called after SƩbastien Truchet who was the first to describe the patterns obtained by rotating tiles with respect to each other. This form of tiling is described by Smith and Boucher (1987) <https://muse.jhu.edu/article/600574>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://paezha.github.io/truchet/, https://github.com/paezha/truchet
BugReports: https://github.com/paezha/truchet/issues
Imports: bezier, checkmate, dplyr, lwgeom, magrittr, methods, purrr, rlang, sf, tidyr
Suggests: rmarkdown, gganimate, ggplot2, knitr, imager
NeedsCompilation: no
Packaged: 2026-07-03 16:26:07 UTC; antonio-paez
Author: Antonio Paez [aut, cre]
Maintainer: Antonio Paez <paezha@mcmaster.ca>
Repository: CRAN
Date/Publication: 2026-07-10 20:30:02 UTC

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New package svySE with initial version 0.1.0
Package: svySE
Title: Sampling Error Estimation for Complex Surveys
Version: 0.1.0
Description: Tools for estimating sampling errors of indicators from complex survey designs. The package supports weighted totals, proportions, standard errors, confidence intervals, coefficients of variation, design effects, unweighted counts, grouped estimates, domain estimates, configurable survey settings, and customizable Excel exports.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.2.0)
Imports: survey, openxlsx, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/lburgoss/svySE
BugReports: https://github.com/lburgoss/svySE/issues
NeedsCompilation: no
Packaged: 2026-07-03 19:32:32 UTC; encal154
Author: Luis Burgos [aut, cre]
Maintainer: Luis Burgos <lburgoss1996@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-10 20:50:02 UTC

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New package stepwedgepower with initial version 0.1.0
Package: stepwedgepower
Title: Tools for Stepped-Wedge Clinical Trial Analysis and Power Simulation
Version: 0.1.0
Maintainer: Lin (Amanda) Li <amandali14124277@gmail.com>
Description: Refactors an academic stepped-wedge clinical trial analysis script into reusable functions for physician-level data preparation, specialty-level rate modeling, and simulation-based power calculations with a random provider effects. The package was designed to support Eli Lilly Lp(a) grant support and more general stepped-wedge planning workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: lme4
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-07-03 21:33:04 UTC; amandalinli
Author: Lin Li [aut, cre], Florin Vaida [aut]
Repository: CRAN
Date/Publication: 2026-07-10 20:50:08 UTC

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Package spca readmission to version 1.1.1 with previous version 0.6.0 dated 2014-12-16

Title: Least Squares Sparse Principal Components Analysis
Description: Implements least-squares sparse principal component analysis (LS-SPCA). The approach follows Merola (2015) <doi:10.1111/anzs.12128> and Merola and Chen (2019) <doi:10.1016/j.jmva.2019.04.001>.
Author: Giovanni Maria Merola [aut, cre]
Maintainer: Giovanni Maria Merola <merolagio@gmail.com>

This is a re-admission after prior archival of version 0.6.0 dated 2014-12-16

Diff between spca versions 0.6.0 dated 2014-12-16 and 1.1.1 dated 2026-07-10

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New package sealeveltools with initial version 0.3.0
Package: sealeveltools
Title: Sea Level Adjustment and Coastal Terrain Modeling
Version: 0.3.0
Date: 2026-07-03
Imports: grDevices, terra
Maintainer: Jovan Kovacevic <jkovacevic@grf.bg.ac.rs>
Description: Simulates sea-level rise and fall from raster-based elevation models through functions for relative vertical datum transformation of Digital Terrain Models (DTMs) and integration with bathymetric data to produce continuous terrestrial–marine Digital Elevation Models (DEMs). Supports coastal exposure modeling, paleogeographic reconstruction, submerged landscape analysis, and climate change impact assessment. Optional gap-filling and threshold-based terrain filtering facilitate reconstruction of incomplete elevation surfaces and scenario-based landscape simulation. Applications span coastal engineering, geomorphology, archaeology, environmental modeling, and geospatial analysis.
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-03 20:28:40 UTC; Administrator
Author: Jovan Kovacevic [aut, cre] , Christopher Nuttall [aut]
Repository: CRAN
Date/Publication: 2026-07-10 20:50:12 UTC

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Permanent link

New package safuzzy with initial version 0.1.1
Package: safuzzy
Title: Stability Analysis with Fuzzy Logic
Version: 0.1.1
Description: It integrates 'fuzzy logic' into the analysis of genotype adaptability and stability. By classifying genotypes based on degrees of belonging, the package provides a detailed assessment of their behavior in different environmental groups.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Date: 2026-07-02
Imports: dplyr, purrr, tidyr
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-07-03 16:52:05 UTC; dougl
Author: Maciel Douglas, O. [aut, cre]
Maintainer: "Maciel Douglas, O." <douglasmaciel@discente.ufg.br>
Repository: CRAN
Date/Publication: 2026-07-10 20:30:08 UTC

More information about safuzzy at CRAN
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New package retraction with initial version 0.1.0
Package: retraction
Title: Detect Retracted References in Documents and Bibliographies
Version: 0.1.0
Description: Scans manuscripts, bibliographies, and reference lists for citations to retracted publications so that authors can avoid citing retracted work. 'retraction' reads bibliographic formats (BibTeX, BibLaTeX, CSL-JSON, RIS, EndNote XML) and document formats (R Markdown, Quarto, 'LaTeX', Markdown, HTML, JATS XML, Word, and PDF), extracts and normalizes identifiers, and checks them against retraction data. The default data source is the Retraction Watch database served through the 'XeraRetractionTracker' API; 'Crossref', 'OpenAlex', 'Europe PMC', 'PubMed', 'DataCite', and a preprint source ('arXiv' and 'bioRxiv' withdrawals) are available as additional sources ('OpenAlex' retraction data is itself derived from Retraction Watch). Within each source, matching proceeds from exact Digital Object Identifier (DOI) and 'PubMed' identifier lookups to fuzzy title matching, and results are returned as a tidy table with a match-quality score and an optional self-contained HTML report.
License: GPL-3
URL: https://github.com/choxos/retraction, https://choxos.github.io/retraction/
BugReports: https://github.com/choxos/retraction/issues
Depends: R (>= 4.0)
Imports: cli (>= 3.0.0), httr2, jsonlite, stringdist, tibble, tools, utils, xml2
Suggests: arrow, covr, DBI, DT, furrr, future, httptest2, knitr, pdftools, rmarkdown, RSQLite, rstudioapi, shiny, stringi (>= 1.5.3), testthat (>= 3.0.0), withr, writexl
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-03 13:24:43 UTC; choxos
Author: Ahmad Sofi-Mahmudi [aut, cre]
Maintainer: Ahmad Sofi-Mahmudi <a.sofimahmudi@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-10 20:20:08 UTC

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New package pycnogrid with initial version 0.2.0
Package: pycnogrid
Title: Flexible Pycnophylactic Interpolation to Discrete Global and Local Grid Systems
Version: 0.2.0
Description: Provides tools for pycnophylactic interpolation of polygon totals to discrete global and local grid systems. The method follows Tobler (1979) <doi:10.1080/01621459.1979.10481647>, preserving source-zone totals while smoothing values across neighboring target cells.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: a5R, dplyr, h3o, hexify, Matrix, rlang, s2, sf, sfdep, terra, tibble
Suggests: forcats, gt, knitr, purrr, quarto, testthat (>= 3.0.0), tidyr, tmap
VignetteBuilder: quarto
LazyData: true
URL: https://higgicd.github.io/pycnogrid/, https://github.com/higgicd/pycnogrid
BugReports: https://github.com/higgicd/pycnogrid/issues
NeedsCompilation: no
Packaged: 2026-07-03 15:46:12 UTC; chris
Author: Christopher Higgins [aut, cre, cph]
Maintainer: Christopher Higgins <cd.higgins@utoronto.ca>
Repository: CRAN
Date/Publication: 2026-07-10 20:30:13 UTC

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New package OORRT with initial version 0.1.0
Package: OORRT
Title: Estimator for Optimised Optional Randomised Response Technique
Version: 0.1.0
Description: Provides functions for estimation under the Randomised Response Technique for sensitive survey data, including Warner's estimator, Optional Randomised Response Technique estimator proposed by Chaudhuri and Mukerjee,and the Optimized Optional Randomised Response Technique estimator proposed by Pushadapu et al. The package also includes Monte Carlo simulation tools for evaluating estimator performance. The implemented methods are based on Warner (1965) <doi:10.1080/01621459.1965.10480775>, Chaudhuri and Mukerjee (1985),and Pushadapu et al. (2025) <doi: 10.1111/insr.12581>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-03 08:01:06 UTC; hp
Author: Safeela Nasrin [aut, cre], Kaustav Aditya [aut], Ritwika Das [aut]
Maintainer: Safeela Nasrin <nasrinkareem315@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-10 20:10:22 UTC

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New package jpmapdata with initial version 0.1.0
Package: jpmapdata
Title: Boundary Data for Japan Maps
Version: 0.1.0
URL: https://github.com/yhoriuchi/jpmapdata
BugReports: https://github.com/yhoriuchi/jpmapdata/issues
Description: Provides boundary 'GeoPackage' files used by the 'jpmap' package, including Japan prefecture example boundaries and official MLIT N03 administrative area data converted for 'jpmap'. Keeping these data in a separate package lets 'jpmap' update its functionality without repeatedly redistributing large boundary files on CRAN mirrors.
License: CC BY 4.0
Copyright: See inst/COPYRIGHTS.
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: sf
NeedsCompilation: no
Packaged: 2026-07-03 13:48:32 UTC; yh25m
Author: Yusaku Horiuchi [aut, cre]
Maintainer: Yusaku Horiuchi <yusaku.horiuchi@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-10 20:30:20 UTC

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New package isoreader2 with initial version 0.6.1
Package: isoreader2
Title: Read Stable Isotope Data Files
Version: 0.6.1
Description: Interface to the raw data and metadata stored in the file formats commonly encountered in scientific disciplines that make use of stable isotopes. Supports Isodat (.dxf, .cf, .did, .caf, .scn), IonOS (.iarc), LyticOS (.larc), Callisto (.bch), and Qtegra (.imexp) file formats. Provides a consistent data structure together with tools to aggregate, convert signal units, filter, and visualize the extracted data. The approach is described in Kopf et al. (2021) <doi:10.21105/joss.02878>.
License: AGPL (>= 3)
Encoding: UTF-8
URL: https://isoreader2.isoverse.org/, https://github.com/isoverse/isoreader2
BugReports: https://github.com/isoverse/isoreader2/issues
Depends: R (>= 4.5.0)
Imports: ggplot2, tools, utils, methods, stats, rlang (>= 1.1.0), cli (>= 3.6.0), processx, readr, tibble, dplyr, tidyr, purrr, withr, RcppSimdJson, scales, fansi, knitr
Suggests: testthat (>= 3.0.0), vdiffr, arrow, openxlsx, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-03 17:58:55 UTC; seko0922
Author: Sebastian Kopf [aut, cre]
Maintainer: Sebastian Kopf <sebastian.kopf@colorado.edu>
Repository: CRAN
Date/Publication: 2026-07-10 20:40:02 UTC

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New package inferencer with initial version 0.1.4.5
Package: inferencer
Title: Simple Unified Wrappers for Hosted Foundation Model Inference APIs
Version: 0.1.4.5
Author: Oliver Zhou [aut, cre]
Maintainer: Oliver Zhou <oliver.yxzhou@gmail.com>
Description: Provides lightweight R wrappers for querying and listing models from several hosted foundation model inference platforms, currently including Google Gemini, Groq, OpenRouter, Cerebras, and Ollama Cloud. The package is designed for simple inference workflows and quick experimentation, with minimal abstraction and a consistent interface across providers. It includes helper functions for model discovery, text generation, embeddings, image generation, and multimodal inputs, while leaving room for future support of provider-specific parameters and advanced options.
License: MIT + file LICENSE
URL: https://github.com/OliverLDS/inferencer
BugReports: https://github.com/OliverLDS/inferencer/issues
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: data.table, httr2, jsonlite
Suggests: knitr, rmarkdown, testthat
NeedsCompilation: no
Packaged: 2026-07-03 06:42:35 UTC; oliver
Repository: CRAN
Date/Publication: 2026-07-10 20:10:09 UTC

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New package ggpower with initial version 0.1.2
Package: ggpower
Title: Publication-Ready Power Analysis and Visualization
Version: 0.1.2
Author: Yaoxiang Li [aut, cre]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>
Description: Provides statistical power analysis and sample size calculations for t-tests, ANOVA, regression, chi-square, proportion, correlation, nonparametric, biomarker, and clinical trial designs. Includes a scriptable API via power_compute(), publication-ready 'ggplot2' visualizations, and an optional 'Shiny' application.
URL: https://github.com/YaoxiangLi/ggpower, https://yaoxiangli.github.io/ggpower/
BugReports: https://github.com/YaoxiangLi/ggpower/issues
License: GPL (>= 3)
Imports: bs4Dash, config, ggplot2, golem, shiny
Encoding: UTF-8
Suggests: knitr, pkgdown, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-03 19:58:15 UTC; Li
Repository: CRAN
Date/Publication: 2026-07-10 20:50:17 UTC

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New package doclingr with initial version 0.1.0
Package: doclingr
Title: Document Intelligence via 'Docling'
Version: 0.1.0
Description: An interface to 'Docling', a document-understanding library that converts 'PDF', 'DOCX', 'PPTX', 'HTML' and image documents into structured, AI-ready data. The package wraps the 'Docling' 'Python' package through 'reticulate' to extract layout-aware text, tables and metadata, export to 'Markdown' or 'JSON', and split documents into context-rich chunks suitable for retrieval-augmented generation (RAG) and embedding pipelines.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
URL: https://github.com/StrategicProjects/doclingr, https://strategicprojects.github.io/doclingr/
BugReports: https://github.com/StrategicProjects/doclingr/issues
SystemRequirements: Python (>= 3.9), docling (>= 2.20.0; tested with 2.107.0)
Imports: reticulate (>= 1.34.0), cli, rlang, stats, tibble
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-03 14:46:50 UTC; leite
Author: Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Carlos Amorim [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-07-10 20:30:26 UTC

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New package derrick with initial version 0.1.1
Package: derrick
Title: Export 'gtsummary' Tables with 'reporter'
Version: 0.1.1
Date: 2026-06-26
Maintainer: Xiecheng Gu <guxc0405med@163.com>
Description: Convert 'gtsummary' tables and plain data frames into clinical-style Rich Text Format, plain text, Word, PDF, and HTML outputs using 'reporter', with managed widths, pagination, indentation, spanning headers, and optional intermediate data exports.
License: Apache License 2.0
URL: https://github.com/openpharma/derrick/
BugReports: https://github.com/openpharma/derrick/issues
Depends: R (>= 4.4)
Imports: dplyr, purrr, reporter (>= 1.4.7), rlang, stringi, tibble
Suggests: cards (>= 0.8.0), gtsummary (>= 2.5.1), knitr, rmarkdown, testthat (>= 3.3.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-03 11:03:37 UTC; Kathy Zhang
Author: Xiecheng Gu [aut, cre], Joe Zhu [aut], Bill Huang [aut]
Repository: CRAN
Date/Publication: 2026-07-10 20:30:31 UTC

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New package conflibertR with initial version 0.5.3
Package: conflibertR
Title: Inference and Fine-Tuning with 'ConfliBERT' Conflict Text Models
Version: 0.5.3
Description: An interface to 'ConfliBERT', a pretrained language model for analyzing text about conflict and political violence (Hu et al. (2022) <doi:10.18653/v1/2022.naacl-main.400>). Provides functions for named entity recognition, binary and multilabel classification, and question answering, plus tools to fine-tune custom classifiers, compare several base model architectures, and run an interactive active-learning loop for efficiently labeling new data. Models are downloaded from 'Hugging Face' and run through the 'transformers' library for 'Python' via the 'reticulate' package.
License: MIT + file LICENSE
URL: https://github.com/shreyasmeher/conflibertR
BugReports: https://github.com/shreyasmeher/conflibertR/issues
Encoding: UTF-8
Language: en
SystemRequirements: Python (>= 3.8); the Python modules 'torch', 'transformers' (>= 4.40), 'accelerate', 'peft', 'scikit-learn' and 'numpy', installable via conflibert_install()
Imports: cli, reticulate (>= 1.34), tibble
Suggests: ggplot2, knitr, miniUI, rmarkdown, rstudioapi, shiny, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-03 19:19:22 UTC; apple
Author: Shreyas Meher [aut, cre]
Maintainer: Shreyas Meher <shreyasmeher@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-10 20:40:09 UTC

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New package CDSimX with initial version 1.1.2
Package: CDSimX
Title: Simulating Climate Data for Research and Modelling
Version: 1.1.2
Date: 2026-06-25
Maintainer: Isaac Osei <ikemillar65@gmail.com>
Description: Advanced climate simulation, forecasting, visualization, export, and machine learning tools. Generates synthetic climate datasets for single or multiple weather stations using stochastic weather generation techniques. 'CDSimX' simulates daily climate variables including minimum and maximum temperature, rainfall, relative humidity, solar radiation, wind speed, wind direction, dew point temperature, and potential evapotranspiration. The package incorporates seasonal harmonic models, Markov chain rainfall occurrence processes, Gamma-distributed rainfall amounts, copula-based dependence structures, bias-correction procedures, and physical consistency constraints. 'CDSimX' supports climate data generation, environmental modeling, machine learning benchmarking, sensitivity analysis, and educational applications. Methods are based on established stochastic weather generation approaches described in Richardson (1981) <doi:10.1029/WR017i001p00182>, Wilks (1999) <doi:10.1016/S0168-1923( [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: copula, ggplot2, dplyr, tidyr, lubridate, randomForest, gbm, forecast, xgboost, nnet, ncdf4, rlang, readr, scales, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://ikemillar.github.io/CDSimX/
BugReports: https://github.com/ikemillar/CDSimX/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-03 06:25:47 UTC; isaacosei
Author: Isaac Osei [aut, cre], Acheampong Baafi-Adomako [aut], Jayanti Maji [aut]
Repository: CRAN
Date/Publication: 2026-07-10 20:10:26 UTC

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New package BSCB with initial version 1.0.0
Package: BSCB
Title: Bayesian Simultaneous Credible Bands for Polynomial Regression
Version: 1.0.0
Description: Provides functions to construct two-sided Bayesian simultaneous credible bands (BSCBs) for the regression curve in univariate polynomial regression over a finite covariate interval. Six methods are implemented, including Normal-Gamma conjugate priors (with empirical Bayes, unit-information, and g-prior hyperparameter specifications), non-conjugate priors fitted via Hamiltonian Monte Carlo (HMC) using 'cmdstanr', and a non-informative independent Jeffreys prior approach. Also includes functions for computing the empirical simultaneous coverage rate (ESCR) and posterior simultaneous coverage probability (PSCP), enabling performance comparison across methods. The methodology is described in: Yang, F., Han, Y., Liu, W., & Hall, I. (2026). "Bayesian simultaneous credible bands for polynomial regression" <doi:10.48550/arXiv.2606.28015>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: DEoptim, testthat (>= 3.0.0), cmdstanr, knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
Additional_repositories: https://stan-dev.r-universe.dev
Imports: mvtnorm, MASS, OptimalDesign, instantiate, posterior
Depends: R (>= 4.0)
Date: 2026-07-02
URL: https://github.com/fannyyang73/BSCB
BugReports: https://github.com/fannyyang73/BSCB/issues
NeedsCompilation: yes
Packaged: 2026-07-02 16:51:49 UTC; fei
Author: Fei Yang [aut, cre]
Maintainer: Fei Yang <fei.yang@manchester.ac.uk>
Repository: CRAN
Date/Publication: 2026-07-10 20:10:32 UTC

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Package arcgislayers updated to version 0.6.1 with previous version 0.6.0 dated 2026-03-04

Title: Harness ArcGIS Data Services
Description: Enables users of 'ArcGIS Enterprise', 'ArcGIS Online', or 'ArcGIS Platform' to read, write, publish, or manage vector and raster data via ArcGIS location services REST API endpoints <https://developers.arcgis.com/rest/>.
Author: Josiah Parry [aut, cre] , Eli Pousson [ctb] , Kenneth Vernon [ctb] , Martha Bass [ctb] , Antony Barja [ctb]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

Diff between arcgislayers versions 0.6.0 dated 2026-03-04 and 0.6.1 dated 2026-07-10

 DESCRIPTION                               |    8 ++++----
 MD5                                       |   10 ++++++----
 NEWS.md                                   |    8 ++++++--
 R/add_item.R                              |   27 +++++++++++++++++++++++++--
 R/arc-add-delete.R                        |    8 +++++---
 tests/testthat/_snaps/json-correctness.md |only
 tests/testthat/test-json-correctness.R    |only
 7 files changed, 46 insertions(+), 15 deletions(-)

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New package psAve with initial version 1.0.1
Package: psAve
Title: Model-Averaged Propensity Scores Selected by Prognostic-Score Balance
Version: 1.0.1
Description: Constructs a model-averaged propensity score as a convex combination of candidate propensity score models, with mixing weights selected on a simplex grid to optimize covariate or prognostic-score balance, implementing the method of Kabata, Stuart and Shintani (2024) <doi:10.1186/s12874-024-02350-y>. Prognostic scores follow Hansen (2008) <doi:10.1093/biomet/asn004>: outcome models are fit on untreated units only. The resulting score is designed to be supplied directly to the matchit() function of 'MatchIt' as a distance measure or to the weightit() function of 'WeightIt' as a propensity score, with balance assessment via 'cobalt'.
Depends: R (>= 4.1)
Imports: cobalt (>= 4.6.0), stats, utils, graphics
Suggests: MatchIt, WeightIt, SuperLearner, rpart, ranger, xgboost, survey, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
License: GPL (>= 2)
URL: https://kabajiro.github.io/psAve/, https://github.com/kabajiro/psAve
BugReports: https://github.com/kabajiro/psAve/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-02 21:56:07 UTC; kabajiro
Author: Daijiro Kabata [aut, cre, cph]
Maintainer: Daijiro Kabata <daijiro.kabata@port.kobe-u.ac.jp>
Repository: CRAN
Date/Publication: 2026-07-10 19:10:02 UTC

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Package neurohcp updated to version 0.12.0 with previous version 0.11.0 dated 2025-04-01

Title: Human 'Connectome' Project Interface
Description: Downloads and reads data from Human 'Connectome' Project <https://balsa.wustl.edu/> using Amazon Web Services ('AWS') 'S3' buckets.
Author: John Muschelli [aut, cre], Adi Gherman [ctb]
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between neurohcp versions 0.11.0 dated 2025-04-01 and 0.12.0 dated 2026-07-10

 DESCRIPTION              |   18 ++++++------
 MD5                      |   52 +++++++++++++++++++-----------------
 NEWS.md                  |    5 +++
 R/bucketlist.R           |   22 +++++++++------
 R/download_hcp_dir.R     |    3 +-
 R/download_hcp_file.R    |   57 +++++++++++++++++++--------------------
 R/get_hcp_file.R         |   39 ++++++++++++++-------------
 R/hcp_aws_url.R          |    4 ++
 R/hcp_ids.R              |    3 +-
 R/hcp_list_files.R       |   67 +++++++++++++++++++++--------------------------
 R/make_aws_call.R        |    4 ++
 R/parse_list_files.R     |    2 +
 R/s3_http.R              |only
 README.md                |   31 +++++----------------
 inst/doc/hcp.R           |   16 +++++------
 inst/doc/hcp.Rmd         |    5 +--
 inst/doc/hcp.html        |   34 +++++++++--------------
 man/bucketlist.Rd        |   14 ++++++++-
 man/download_hcp_dir.Rd  |    2 +
 man/download_hcp_file.Rd |    2 +
 man/hcp_aws_url.Rd       |    2 +
 man/hcp_ids.Rd           |    2 +
 man/hcp_list_files.Rd    |    8 +++++
 man/make_aws_call.Rd     |    2 +
 man/parse_list_files.Rd  |    2 +
 tests                    |only
 vignettes/hcp.Rmd        |    5 +--
 27 files changed, 213 insertions(+), 188 deletions(-)

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New package DSDRM with initial version 0.1.3
Package: DSDRM
Title: Distributed Sampling for Dynamic Regression Models
Version: 0.1.3
Depends: R (>= 4.1.0)
Description: A toolbox for distributed dynamic regression modeling, parallel estimation, multiple distributed sampling algorithms (Metropolis-Hastings, block bootstrap, adaptive, hypergeometric), sparse matrix optimization, model visualization, prediction and performance evaluation. The philosophy of the package is described in Guo (2025) <doi:10.1038/s41598-025-93333-6>.
License: Apache License 2.0
Encoding: UTF-8
Imports: parallel, Matrix
Author: Guangbao Guo [aut, cre]
Maintainer: Guangbao Guo <ggb11111111@163.com>
NeedsCompilation: no
Language: en-US
Suggests: testthat
Packaged: 2026-06-27 09:28:12 UTC; admin
Repository: CRAN
Date/Publication: 2026-07-10 19:30:02 UTC

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New package bqmm with initial version 0.1.0
Package: bqmm
Title: Bayesian Multilevel Quantile Regression
Version: 0.1.0
Description: Fits Bayesian mixed-effects (multilevel) quantile regression models using the asymmetric Laplace working likelihood and Stan. Supports an 'lme4'-style formula interface with nested and crossed random effects, fitting one or several quantiles, post-hoc non-crossing rearrangement of fitted quantiles, and the Yang, Wang and He (2016) posterior-variance correction for valid frequentist inference from the (misspecified) asymmetric Laplace posterior.
License: MIT + file LICENSE
Encoding: UTF-8
Biarch: true
Depends: R (>= 4.0.0)
Imports: methods, stats, graphics, grDevices, lme4, Matrix, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), rstantools (>= 2.4.0), posterior
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), StanHeaders (>= 2.26.0)
Suggests: bayesplot, ggplot2, lqmm, MASS, nlme, quantreg, testthat (>= 3.0.0), knitr, rmarkdown
SystemRequirements: GNU make
VignetteBuilder: knitr
URL: https://github.com/kvenkita/bqmm, https://kvenkita.github.io/bqmm/
BugReports: https://github.com/kvenkita/bqmm/issues
NeedsCompilation: yes
Packaged: 2026-06-29 11:45:38 UTC; kyle
Author: Kailas Venkitasubramanian [aut, cre, cph]
Maintainer: Kailas Venkitasubramanian <kailasv@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-10 20:00:02 UTC

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New package MBGapp with initial version 0.1.0
Package: MBGapp
Title: Interactive 'shiny' Application for Model-Based Geostatistics
Version: 0.1.0
Description: Provides an interactive 'shiny' application for teaching and applied analysis of geostatistical data. Users can explore spatial data, assess spatial correlation through the empirical variogram, fit model-based geostatistical models for continuous, prevalence and count outcomes, produce spatial predictions, and download reports. The methodology follows the model-based geostatistics framework of Diggle and Giorgi (2019, ISBN:9781138732353).
License: MIT + file LICENSE
URL: https://github.com/olatunjijohnson/MBGapp
BugReports: https://github.com/olatunjijohnson/MBGapp/issues
Encoding: UTF-8
Imports: geoR, ggplot2, shiny, sf, dplyr, readr, tidyr, magrittr, leaflet, leafem, tidyterra, stars, RiskMap, terra, grDevices, shinyjs, splines, httr2, rmarkdown
Suggests: INLA, covr, testthat (>= 3.0.0)
Additional_repositories: https://inla.r-inla-download.org/R/stable
NeedsCompilation: no
Packaged: 2026-07-02 20:59:52 UTC; olatunji-johnson
Author: Olatunji Johnson [cre, aut] , Claudio Fronterre [aut], Emanuele Giorgi [aut]
Maintainer: Olatunji Johnson <olatunjijohnson21111@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-10 19:00:08 UTC

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New package IMR with initial version 1.0.0
Package: IMR
Title: Incomplete Matrix Regression
Version: 1.0.0
Description: A framework for matrix completion and regression on response matrices with missing values. The model estimates missing entries using any combination of intercepts, row and column covariates, and a low-rank matrix approximation. It applies Lasso penalties on the covariates and a nuclear norm penalty on the low-rank component. It also adjusts for correlation within the rows and columns of the target matrix using similarity matrices. The framework is described in Fouda, Labbe and Oualkacha (2026) <doi:10.48550/arXiv.2606.26325>.
License: GPL (>= 3)
URL: https://github.com/khaledfouda/IMR
BugReports: https://github.com/khaledfouda/IMR/issues
Depends: R (>= 3.5)
Imports: fields, irlba, MASS, Matrix, methods, parallel, Rcpp, RSpectra, stats, utils
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2026-07-02 16:16:40 UTC; khaledfouda
Author: Khaled Fouda [aut, cre] , Aurelie Labbe [ths, ctb], Karim Oualkacha [ths, ctb], Korbinian Strimmer [cph, ctb]
Maintainer: Khaled Fouda <khaled.fouda@hec.ca>
Repository: CRAN
Date/Publication: 2026-07-10 18:20:02 UTC

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New package ctreeMI with initial version 0.1.0
Package: ctreeMI
Title: Conditional Inference Trees with Stacked Multiple Imputation
Version: 0.1.0
Description: Implements the stacked-imputation workflow for conditional inference trees ('ctree') described in Sherlock et al. (2026) <doi:10.1080/00273171.2026.2661244>. When data contain missing values, multiply imputed datasets (e.g., from 'mice') are stacked vertically and a single 'ctree' is fit on the combined data. To correct for the artificially inflated sample size introduced by stacking, the pruning significance threshold is divided by the number of imputations M (the Stack/M correction), producing a conservative but interpretable single tree that incorporates imputation uncertainty without requiring pooling of structurally different trees. Also exports stack_imputations() and rescale_alpha() as standalone utilities. The underlying 'ctree' algorithm is provided by 'partykit' (Hothorn & Zeileis, 2015; Hothorn, Hornik & Zeileis, 2006 <doi:10.1198/106186006X133933>).
License: GPL (>= 3)
Encoding: UTF-8
Imports: partykit (>= 1.2-0), mice (>= 3.0.0), methods
Suggests: testthat (>= 3.0.0)
Depends: R (>= 4.0.0)
URL: https://github.com/Phillip-Sherlock/ctreeMI
BugReports: https://github.com/Phillip-Sherlock/ctreeMI/issues
NeedsCompilation: no
Packaged: 2026-07-02 21:17:52 UTC; coe-phillip.sherlock
Author: Phillip Sherlock [aut, cre]
Maintainer: Phillip Sherlock <phillip.sherlock@ufl.edu>
Repository: CRAN
Date/Publication: 2026-07-10 19:00:02 UTC

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Package CohortGenerator updated to version 1.1.1 with previous version 1.1.0 dated 2026-03-03

Title: Cohort Generation for the OMOP Common Data Model
Description: Generate cohorts and subsets using an Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) Database. Cohorts are defined using 'CIRCE' (<https://github.com/ohdsi/circe-be>) or SQL compatible with 'SqlRender' (<https://github.com/OHDSI/SqlRender>).
Author: Anthony Sena [aut, cre], Jamie Gilbert [aut], Gowtham Rao [aut], Freddy Avila Cruz [aut], Martijn Schuemie [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Anthony Sena <sena@ohdsi.org>

Diff between CohortGenerator versions 1.1.0 dated 2026-03-03 and 1.1.1 dated 2026-07-10

 DESCRIPTION                                   |   10 
 MD5                                           |   43 +--
 NEWS.md                                       |    9 
 R/RunCohortGeneration.R                       |   11 
 R/Subsets.R                                   |    8 
 inst/doc/CreatingCohortSubsetDefinitions.html |    6 
 inst/doc/GeneratingCohorts.pdf                |binary
 inst/doc/SamplingCohorts.pdf                  |binary
 inst/doc/UsingTemplateCohorts.html            |    8 
 man/CohortGenerator-package.Rd                |    1 
 man/CohortSubsetDefinition.Rd                 |  292 +++++++++++++-------------
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 man/CohortTemplateDefinition.Rd               |  251 +++++++++++-----------
 man/DemographicSubsetOperator.Rd              |  222 ++++++++++---------
 man/LimitSubsetOperator.Rd                    |  112 +++++----
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 man/SubsetOperator.Rd                         |  246 +++++++++++----------
 man/createCohortSubsetOperator.Rd             |    6 
 man/createDemographicSubsetOperator.Rd        |    6 
 man/createLimitSubsetOperator.Rd              |    6 
 tests/testthat/errorReportSql.txt             |only
 tests/testthat/test-RunCohortGeneration.R     |   19 +
 tests/testthat/test-Subsets.R                 |   46 ++++
 23 files changed, 859 insertions(+), 689 deletions(-)

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Package animl updated to version 3.3.1 with previous version 3.3.0 dated 2026-06-16

Title: A Collection of ML Tools for Species Detection and Classification in Camera Trap Images and Videos
Description: Functions required to classify subjects within camera trap field data. The package can handle both images and videos. The authors recommend a two-step approach using Microsoft's 'MegaDector' model and then a second model trained on the classes of interest.
Author: Kyra Swanson [aut, cre] , Mathias Tobler [aut]
Maintainer: Kyra Swanson <tswanson@sdzwa.org>

Diff between animl versions 3.3.0 dated 2026-06-16 and 3.3.1 dated 2026-07-10

 DESCRIPTION                                   |    6 
 LICENSE                                       |    2 
 MD5                                           |  163 ++---
 NAMESPACE                                     |  112 ++--
 NEWS.md                                       |   88 +--
 R/classification.R                            |  268 ++++-----
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 R/reid.R                                      |  276 ++++-----
 R/sequence_classification.R                   |  518 +++++++++---------
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 R/video_processing.R                          |  110 +--
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 man/WorkingDirectory.Rd                       |   48 -
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 man/check_animl_py.Rd                         |   22 
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 man/export_train_val_test.Rd                  |   90 +--
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 man/extract_frames.Rd                         |   90 +--
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 man/get_animals.Rd                            |   44 -
 man/get_empty.Rd                              |   44 -
 man/get_frame_as_image.Rd                     |   44 -
 man/list_models.Rd                            |   40 -
 man/load_animl.Rd                             |   48 -
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 man/load_data.Rd                              |   44 -
 man/load_detector.Rd                          |   56 +-
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 man/load_miew.Rd                              |   44 -
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Package nVennR2 updated to version 2.0.2 with previous version 2.0.1 dated 2026-06-01

Title: An Interface to 'nVenn2'
Description: Creates quasi-proportional Venn diagrams with an arbitrary number of sets. It is related to the old 'nVennR' package, but the algorithm and use have been reworked.
Author: Victor Quesada [aut, cre, cph]
Maintainer: Victor Quesada <quesadavictor@uniovi.es>

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Package LLMR updated to version 0.8.10 with previous version 0.8.6 dated 2026-06-17

Title: Interface for Large Language Model APIs in R
Description: Provides a unified interface to large language models across multiple providers. Supports text generation, tidy data workflows, structured output with optional JSON Schema validation, XML-like tag extraction, and embeddings. Includes chat sessions, consistent error handling, and parallel batch tools.
Author: Ali Sanaei [aut, cre]
Maintainer: Ali Sanaei <sanaei@uchicago.edu>

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Permanent link

Package aridagri updated to version 2.0.4 with previous version 2.0.3 dated 2026-02-24

Title: Comprehensive Statistical Tools for Agricultural Research
Description: A comprehensive suite of statistical and analytical tools for agricultural research. Includes complete analysis of variance (ANOVA) functions for all experimental designs: Completely Randomized Design (CRD), Randomized Block Design (RBD), Pooled RBD, Split Plot with all variations, Split-Split Plot, Strip Plot, Latin Square, Factorial, Augmented, and Alpha Lattice, with proper error terms and comprehensive Standard Error (SE) and Critical Difference (CD) calculations. Features multiple post-hoc tests: Least Significant Difference (LSD), Duncan Multiple Range Test (DMRT), Tukey Honestly Significant Difference (HSD), Student-Newman-Keuls (SNK), Scheffe, Bonferroni, and Dunnett, along with assumption checking and publication-ready output. Advanced methods include stability analysis using Eberhart-Russell regression, Additive Main Effects and Multiplicative Interaction (AMMI), Finlay-Wilkinson regression, Shukla stability variance, Wricke ecovalence, Coefficient of Variation (CV), and Cult [...truncated...]
Author: Lalit Kumar Rolaniya [aut, cre] , Ram Lal Jat [aut] , Monika Punia [aut] , Raja Ram Choudhary [aut]
Maintainer: Lalit Kumar Rolaniya <lalitrolaniya@gmail.com>

Diff between aridagri versions 2.0.3 dated 2026-02-24 and 2.0.4 dated 2026-07-10

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Package rotations updated to version 1.6.7 with previous version 1.6.6 dated 2025-09-28

Title: Working with Rotation Data
Description: Tools for working with rotational data, including simulation from the most commonly used distributions on SO(3), methods for different Bayes, mean and median type estimators for the central orientation of a sample, confidence/credible regions for the central orientation based on those estimators and a novel visualization technique for rotation data. Most recently, functions to identify potentially discordant (outlying) values have been added. References: Bingham, Melissa A. and Nordman, Dan J. and Vardeman, Steve B. (2009), Bingham, Melissa A and Vardeman, Stephen B and Nordman, Daniel J (2009), Bingham, Melissa A and Nordman, Daniel J and Vardeman, Stephen B (2010), Leon, C.A. and Masse, J.C. and Rivest, L.P. (2006), Hartley, R and Aftab, K and Trumpf, J. (2011), Stanfill, Bryan and Genschel, Ulrike and Hofmann, Heike (2013), Maonton, Jonathan (2004), Mardia, KV and Jupp, PE (2000, ISBN:9780471953333), Rancourt, D. and Rivest, L.P. and Asselin, J. (2000), Chang, Ted and Rivest, Loui [...truncated...]
Author: Bryan Stanfill [aut, cre], Heike Hofmann [aut], Ulrike Genschel [aut], Aymeric Stamm [ctb] , Luciano Selzer [ctb]
Maintainer: Bryan Stanfill <bstanfill2003@gmail.com>

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Package nlmixr2data updated to version 2.0.10 with previous version 2.0.9 dated 2024-01-31

Title: Nonlinear Mixed Effects Models in Population PK/PD, Data
Description: Datasets for 'nlmixr2' and 'rxode2'. 'nlmixr2' is used for fitting and comparing nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut, cre] , Rik Schoemaker [ctb] , Kyle Baron [ctb], Thierry Wendling [ctb], Ted Grasella [ctb], C Weil [ctb], Yaning Wang [ctb], R O'Reilly [ctb], David D'Argenio [ctb], Rodriguez-Vera [ctb], D Gaver [ctb], Yuan Xiong [ctb], Jan Rohl [...truncated...]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package mlr3cluster updated to version 0.4.1 with previous version 0.4.0 dated 2026-06-11

Title: Cluster Extension for 'mlr3'
Description: Extends the 'mlr3' package with cluster analysis.
Author: Maximilian Muecke [aut, cre] , Damir Pulatov [aut], Michel Lang [aut] , Marc Becker [ctb]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

Diff between mlr3cluster versions 0.4.0 dated 2026-06-11 and 0.4.1 dated 2026-07-10

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Package cograph updated to version 2.4.4 with previous version 2.3.6 dated 2026-05-31

Title: Analysis and Visualization of Complex Networks
Description: Provides tools for the analysis, visualization, and manipulation of dynamical, social (Saqr et al. (2024) <doi:10.1007/978-3-031-54464-4_10>) and complex networks (Saqr et al. (2025) <doi:10.1145/3706468.3706513>). The package supports multiple network formats and offers flexible tools for heterogeneous, multi-layer, and hierarchical network analysis with simple syntax and extensive toolset.
Author: Mohammed Saqr [aut, cph], Sonsoles Lopez-Pernas [aut, cre, cph]
Maintainer: Sonsoles Lopez-Pernas <sonsoles.lopez@uef.fi>

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 cograph-2.4.4/cograph/DESCRIPTION                                       |    8 
 cograph-2.4.4/cograph/MD5                                               |  513 ++------
 cograph-2.4.4/cograph/NAMESPACE                                         |   11 
 cograph-2.4.4/cograph/NEWS.md                                           |  318 +++++
 cograph-2.4.4/cograph/R/aaa-globals.R                                   |    5 
 cograph-2.4.4/cograph/R/aes-edges.R                                     |    2 
 cograph-2.4.4/cograph/R/aes-nodes.R                                     |    2 
 cograph-2.4.4/cograph/R/aes-scales.R                                    |    6 
 cograph-2.4.4/cograph/R/centrality.R                                    |   12 
 cograph-2.4.4/cograph/R/class-network.R                                 |   16 
 cograph-2.4.4/cograph/R/class-theme.R                                   |    1 
 cograph-2.4.4/cograph/R/cluster-metrics.R                               |  143 +-
 cograph-2.4.4/cograph/R/communities.R                                   |    2 
 cograph-2.4.4/cograph/R/disparity.R                                     |    2 
 cograph-2.4.4/cograph/R/dyad-census.R                                   |only
 cograph-2.4.4/cograph/R/ego.R                                           |only
 cograph-2.4.4/cograph/R/from-qgraph.R                                   |    6 
 cograph-2.4.4/cograph/R/input-parse.R                                   |    7 
 cograph-2.4.4/cograph/R/layout-gephi-fr.R                               |    2 
 cograph-2.4.4/cograph/R/layout-registry.R                               |    8 
 cograph-2.4.4/cograph/R/layout-target-saqr.R                            |only
 cograph-2.4.4/cograph/R/motifs-api.R                                    |    8 
 cograph-2.4.4/cograph/R/motifs-extract.R                                |    5 
 cograph-2.4.4/cograph/R/motifs.R                                        |    4 
 cograph-2.4.4/cograph/R/network-utils.R                                 |   40 
 cograph-2.4.4/cograph/R/palettes.R                                      |    1 
 cograph-2.4.4/cograph/R/panel-layout.R                                  |    2 
 cograph-2.4.4/cograph/R/plot-bootstrap.R                                |   23 
 cograph-2.4.4/cograph/R/plot-compare.R                                  |  141 +-
 cograph-2.4.4/cograph/R/plot-forest.R                                   |   38 
 cograph-2.4.4/cograph/R/plot-heatmap.R                                  |   11 
 cograph-2.4.4/cograph/R/plot-htna-multi.R                               |    2 
 cograph-2.4.4/cograph/R/plot-htna.R                                     |    6 
 cograph-2.4.4/cograph/R/plot-mcml-splot.R                               |only
 cograph-2.4.4/cograph/R/plot-mcml.R                                     |  632 +++++++---
 cograph-2.4.4/cograph/R/plot-ml-heatmap.R                               |    7 
 cograph-2.4.4/cograph/R/plot-mlna-donut.R                               |only
 cograph-2.4.4/cograph/R/plot-mlvar.R                                    |    1 
 cograph-2.4.4/cograph/R/plot-nestimate.R                                |   24 
 cograph-2.4.4/cograph/R/plot-permutation.R                              |  118 +
 cograph-2.4.4/cograph/R/plot-transitions.R                              |    1 
 cograph-2.4.4/cograph/R/render-edges.R                                  |    6 
 cograph-2.4.4/cograph/R/render-grid.R                                   |    2 
 cograph-2.4.4/cograph/R/render-legend-shared.R                          |    1 
 cograph-2.4.4/cograph/R/render-nodes.R                                  |    3 
 cograph-2.4.4/cograph/R/robustness.R                                    |    2 
 cograph-2.4.4/cograph/R/scale-constants.R                               |    7 
 cograph-2.4.4/cograph/R/shapes-basic.R                                  |    7 
 cograph-2.4.4/cograph/R/shapes-registry.R                               |    2 
 cograph-2.4.4/cograph/R/shapes-special.R                                |   18 
 cograph-2.4.4/cograph/R/shapes-svg.R                                    |    5 
 cograph-2.4.4/cograph/R/sonplot-qgraph-geometry.R                       |   10 
 cograph-2.4.4/cograph/R/splot-arrows.R                                  |    9 
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More information about cograph at CRAN
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Package vectra updated to version 0.11.1 with previous version 0.9.8 dated 2026-07-01

Title: Columnar Query Engine for Larger-than-RAM Data
Description: A minimal columnar query engine with lazy execution on datasets larger than RAM. Provides 'dplyr'-like verbs (filter(), select(), mutate(), group_by(), summarise(), joins, window functions) and common aggregations (n(), sum(), mean(), min(), max(), sd(), first(), last()) backed by a pure C11 pull-based execution engine and a custom on-disk format ('.vtr'). Reads and writes 'GeoTIFF' (including tiled and 'BigTIFF' layouts) and a tiled raster format ('.vec') with overview pyramids and time cubes for larger-than-RAM raster data. Streams vector operations (spatial transforms, point-in-polygon and nearest-feature joins including a two-sided grid-partitioned join, select-by-location, clip, erase, dissolve, 'rasterization', 'polygonization', and contouring) through 'sf', and runs raster operations (zonal statistics, focal windows, terrain derivatives, resample or 'reproject' warp, polygon masking, map algebra, and 'mosaicking') in native C or over the tiled '.vec' format, one batch or tile at [...truncated...]
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package FPDclustering updated to version 2.3.6 with previous version 2.3.5 dated 2025-03-05

Title: PD-Clustering and Related Methods
Description: Probabilistic distance clustering (PD-clustering) is an iterative, distribution-free, probabilistic clustering method. PD-clustering assigns units to a cluster according to their probability of membership under the constraint that the product of the probability and the distance of each point to any cluster center is a constant. PD-clustering is a flexible method that can be used with elliptical clusters, outliers, or noisy data. PDQ is an extension of the algorithm for clusters of different sizes. GPDC and TPDC use a dissimilarity measure based on densities. Factor PD-clustering (FPDC) is a factor clustering method that involves a linear transformation of variables and a cluster optimizing the PD-clustering criterion. It works on high-dimensional data sets.
Author: Cristina Tortora [aut, cre, cph], Noe Vidales [aut], Francesco Palumbo [aut], Tina Kalra [aut], Paul D. McNicholas [fnd]
Maintainer: Cristina Tortora <grikris1@gmail.com>

Diff between FPDclustering versions 2.3.5 dated 2025-03-05 and 2.3.6 dated 2026-07-10

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Package gsearly updated to version 1.1.0 with previous version 1.0.0 dated 2026-01-23

Title: Creates Group Sequential Trial Designs when Early Outcomes are Available
Description: Methods to construct and power group sequential clinical trial designs for outcomes at multiple times. Outcomes at earlier times provide information on the final (primary) outcome. A range of recruitment and correlation models are available as are methods to simulate data in order to explore design operating characteristics. For more details see Parsons (2024) <doi:10.1186/s12874-024-02174-w>.
Author: Nick Parsons [aut, cre]
Maintainer: Nick Parsons <nick.parsons@warwick.ac.uk>

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Package robustlmm updated to version 3.5.0-1 with previous version 3.4-5 dated 2026-06-21

Title: Robust Linear Mixed Effects Models
Description: Implements the Robust Scoring Equations estimator to fit linear mixed effects models robustly. Robustness is achieved by modification of the scoring equations combined with the Design Adaptive Scale approach.
Author: Manuel Koller [aut, cre]
Maintainer: Manuel Koller <kollerma@proton.me>

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Package KPC updated to version 0.1.4 with previous version 0.1.3 dated 2026-05-02

Title: Kernel Partial Correlation Coefficient
Description: Implementations of two empirical versions the kernel partial correlation (KPC) coefficient and the associated variable selection algorithms. KPC is a measure of the strength of conditional association between Y and Z given X, with X, Y, Z being random variables taking values in general topological spaces. As the name suggests, KPC is defined in terms of kernels on reproducing kernel Hilbert spaces (RKHSs). The population KPC is a deterministic number between 0 and 1; it is 0 if and only if Y is conditionally independent of Z given X, and it is 1 if and only if Y is a measurable function of Z and X. One empirical KPC estimator is based on geometric graphs, such as K-nearest neighbor graphs and minimum spanning trees, and is consistent under very weak conditions. The other empirical estimator, defined using conditional mean embeddings (CMEs) as used in the RKHS literature, is also consistent under suitable conditions. Using KPC, a stepwise forward variable selection algorithm KFOCI (usin [...truncated...]
Author: Zhen Huang [aut, cre], Nabarun Deb [ctb], Bodhisattva Sen [ctb], Benjamin Lang [ctb]
Maintainer: Zhen Huang <zh2395@columbia.edu>

Diff between KPC versions 0.1.3 dated 2026-05-02 and 0.1.4 dated 2026-07-10

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Package harbinger updated to version 2.1.707 with previous version 2.0.757 dated 2026-05-22

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>

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Package daltoolboxdp updated to version 1.3.767 with previous version 1.3.757 dated 2026-06-26

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 1.3.757 dated 2026-06-26 and 1.3.767 dated 2026-07-10

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Package reproj updated to version 0.8.0 with previous version 0.7.0 dated 2024-06-11

Title: Coordinate System Transformations for Generic Map Data
Description: Transform coordinates from a specified source to a specified target map projection. This uses the 'PROJ' library directly, via the 'PROJ' package. The 'reproj()' function is generic, methods may be added to remove the need for an explicit source definition. This is for use primarily to transform generic data formats and direct leverage of the underlying 'PROJ' library. (There are transformations that aren't possible with 'PROJ' and that are provided by the 'GDAL' library, a limitation which users of this package should be aware of.) The 'PROJ' library is available at <https://proj.org/>.
Author: Michael D. Sumner [aut, cre]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

Diff between reproj versions 0.7.0 dated 2024-06-11 and 0.8.0 dated 2026-07-10

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Package duckdb updated to version 1.5.4.3 with previous version 1.5.4.2 dated 2026-06-29

Title: DBI Package for the DuckDB Database Management System
Description: The DuckDB project is an embedded analytical data management system with support for the Structured Query Language (SQL). This package includes all of DuckDB and an R Database Interface (DBI) connector.
Author: Hannes Muehleisen [aut] , Mark Raasveldt [aut] , Kirill Mueller [cre] , Stichting DuckDB Foundation [cph], Apache Software Foundation [cph], PostgreSQL Global Development Group [cph], The Regents of the University of California [cph], Cameron Desrocher [...truncated...]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package coin updated to version 1.4-5 with previous version 1.4-4 dated 2026-06-30

Title: Conditional Inference Procedures in a Permutation Test Framework
Description: Conditional inference procedures for the general independence problem including two-sample, K-sample (non-parametric ANOVA), correlation, censored, ordered and multivariate problems described in <doi:10.18637/jss.v028.i08>.
Author: Torsten Hothorn [aut, cre] , Henric Winell [aut] , Kurt Hornik [aut] , Mark A. van de Wiel [aut] , Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package CKNNRLD updated to version 0.2.0 with previous version 0.1.4 dated 2026-06-09

Title: Clustering-Based K-Nearest Neighbor Regression for Longitudinal Data
Description: Implements the 'CKNNRLD' algorithm (Clustering-Based K-Nearest Neighbor Regression for Longitudinal Data) for improving K-Nearest Neighbor ('KNN') regression on longitudinal data through cluster-based partitioning and localized prediction. Offers enhanced computational efficiency and accuracy for high-volume longitudinal datasets. The acronym 'KNN' stands for K-Nearest Neighbor. References: Loeloe MS, Tabatabaei SM, Sefidkar R, Mehrparvar AH, Jambarsang S (2025). "Boosting K-nearest neighbor regression performance for longitudinal data through a novel learning approach." BMC Bioinformatics, 26, 232. <doi:10.1186/s12859-025-06205-1>.
Author: Mohammad Sadegh Loeloe [aut, cre], Seyyed Mohammad Tabatabaei [aut], Reyhane Sefidkar [aut], Amir Houshang Mehrparvar [aut], Sara Jambarsang [aut, ths]
Maintainer: Mohammad Sadegh Loeloe <mslbiostat@gmail.com>

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Package AIGRA updated to version 0.2.0 with previous version 0.1.2 dated 2026-06-05

Title: Agentic Item Generation, Review, and Analysis
Description: Provides tools for validating, generating, reviewing, reporting, and visualising assessment item generation workflows. The package supports tabular item-bank templates, item-bank validation, 'Python'-backed agentic generation workflows, multimodal diagram generation, quality summaries, and 'HTML' reporting. External artificial intelligence services and related 'API' calls require user-supplied credentials and are not called during package checks. The workflow is informed by automatic item generation methods described by Gierl and Haladyna (2013, ISBN:9780415897518) and evidence-centered assessment design described by Mislevy et al. (2003) <doi:10.1002/j.2333-8504.2003.tb01908.x>.
Author: Moses O. Omopekunola [aut, cre]
Maintainer: Moses O. Omopekunola <omopekunola.m@hse.ru>

Diff between AIGRA versions 0.1.2 dated 2026-06-05 and 0.2.0 dated 2026-07-10

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Package set (with last version 1.2) was removed from CRAN

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

2021-02-26 1.2
2020-02-22 1.1
2019-09-20 1.0

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Package tmcn (with last version 0.2-13) was removed from CRAN

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2019-08-08 0.2-13
2018-03-03 0.2-12
2017-06-12 0.2-8

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Package gpboost updated to version 1.7.0 with previous version 1.6.8 dated 2026-06-24

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Tim Gyger [aut], Pascal Kuendig [aut], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the incl [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

Diff between gpboost versions 1.6.8 dated 2026-06-24 and 1.7.0 dated 2026-07-10

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Package GISSB updated to version 1.1.1 with previous version 1.1 dated 2023-01-10

Title: Network Analysis on the Norwegian Road Network
Description: A collection of GIS (Geographic Information System) functions in R, created for use in Statistics Norway. The functions are primarily related to network analysis on the Norwegian road network.
Author: Sindre Mikael Haugen [aut, cre]
Maintainer: Sindre Mikael Haugen <sindre.haugen@ssb.no>

Diff between GISSB versions 1.1 dated 2023-01-10 and 1.1.1 dated 2026-07-10

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Package BFpack updated to version 1.6.1 with previous version 1.6.0 dated 2026-04-13

Title: Flexible Bayes Factor Testing of Scientific Expectations
Description: Implementation of default Bayes factors for testing statistical hypotheses under various statistical models. The package is intended for applied quantitative researchers in the social and behavioral sciences, medical research, and related fields. The Bayes factor tests can be executed for statistical models such as univariate and multivariate normal linear models, correlation analysis, generalized linear models, special cases of linear mixed models, survival models, relational event models. Parameters that can be tested are location parameters (e.g., group means, regression coefficients), variances (e.g., group variances), and measures of association (e.g,. polychoric/polyserial/biserial/tetrachoric/product moments correlations), among others. Relevant references on the methodology The statistical underpinnings are described in O'Hagan (1995) <DOI:10.1111/j.2517-6161.1995.tb02017.x>, Mulder and Xin (2022) <DOI:10.1080/00273171.2021.1904809>, Mulder and Gelissen (2019) <D [...truncated...]
Author: Joris Mulder [aut, cre], Caspar van Lissa [aut, ctb], Donald R. Williams [aut, ctb], Xin Gu [aut, ctb], Anton Olsson-Collentine [aut, ctb], Florian Boeing-Messing [aut, ctb], Jean-Paul Fox [aut, ctb], Janosch Menke [ctb], Robbie van Aert [ctb], Barry [...truncated...]
Maintainer: Joris Mulder <j.mulder3@tilburguniversity.edu>

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Package tfrmt updated to version 0.4.0 with previous version 0.3.0 dated 2026-01-24

Title: Applies Display Metadata to Analysis Results Datasets
Description: Creates a framework to store and apply display metadata to Analysis Results Datasets (ARDs). The use of 'tfrmt' allows users to define table format and styling without the data, and later apply the format to the data.
Author: Alanah Jonas [aut, cre], Becca Krouse [aut], Christina Fillmore [aut] , Ellis Hughes [aut] , Karima Ahmad [aut] , Shannon Haughton [aut], Dragoș Moldovan-Gruenfeld [aut], GlaxoSmithKline Research & Development Limited [cph, fnd], Atorus Research LLC [ [...truncated...]
Maintainer: Alanah Jonas <alanah.x.jonas@gsk.com>

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Package RALSA updated to version 1.7.0 with previous version 1.6.6 dated 2026-04-16

Title: R Analyzer for Large-Scale Assessments
Description: Download, prepare and analyze data from large-scale assessments and surveys with complex sampling and assessment design (see 'Rutkowski', 2010 <doi:10.3102/0013189X10363170>). Such studies are, for example, international assessments like 'TIMSS', 'PIRLS' and 'PISA'. A graphical interface is available for the non-technical user.The package includes functions to covert the original data from 'SPSS' into 'R' data sets keeping the user-defined missing values, merge data from different respondents and/or countries, generate variable dictionaries, modify data, produce descriptive statistics (percentages, means, percentiles, benchmarks) and multivariate statistics (correlations, linear regression, binary logistic regression). The number of supported studies and analysis types increases with every next release. For a general presentation of the package, see 'Mirazchiyski', 2021a (<doi:10.1186/s40536-021-00114-4>). For detailed technical aspects of the package, see 'Mirazchiyski', 2 [...truncated...]
Author: Plamen V. Mirazchiyski [aut, cre]
Maintainer: Plamen V. Mirazchiyski <plamen.mirazchiyski@gmail.com>

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Package mdbplyr updated to version 0.4.1 with previous version 0.4.0 dated 2026-06-25

Title: A Native Lazy Analytical Backend for MongoDB
Description: Provides a disciplined, lazy subset of 'dplyr' semantics for MongoDB aggregation pipelines. Queries remain lazy until collect() and compile into MongoDB-native aggregation stages.
Author: Paolo Bosetti [aut, cre]
Maintainer: Paolo Bosetti <paolo.bosetti@unitn.it>

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Package Compind updated to version 3.6 with previous version 3.5 dated 2026-07-02

Title: Composite Indicators Functions
Description: A collection of functions to calculate Composite Indicators methods, focusing, in particular, on the normalisation and weighting-aggregation steps, as described in OECD Handbook on constructing composite indicators: methodology and user guide, 2008, 'Vidoli' and 'Fusco' and 'Mazziotta' <doi:10.1007/s11205-014-0710-y>, 'Mazziotta' and 'Pareto' (2016) <doi:10.1007/s11205-015-0998-2>, 'Van Puyenbroeck and 'Rogge' <doi:10.1016/j.ejor.2016.07.038> and other authors.
Author: Francesco Vidoli [aut, cre], Elisa Fusco [aut]
Maintainer: Francesco Vidoli <fvidoli@gmail.com>

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Package asremlPlus updated to version 4.4.63 with previous version 4.4.58 dated 2026-04-12

Title: Augments 'ASReml-R' in Fitting Mixed Models and Packages Generally in Exploring Prediction Differences
Description: Assists in automating the selection of terms to include in mixed models when 'asreml' is used to fit the models. Procedures are available for choosing models that conform to the hierarchy or marginality principle, for fitting and choosing between two-dimensional spatial models using correlation, natural cubic smoothing spline and P-spline models. A history of the fitting of a sequence of models is kept in a data frame. Also used to compute functions and contrasts of, to investigate differences between and to plot predictions obtained using any model fitting function. The content falls into the following natural groupings: (i) Data, (ii) Model modification functions, (iii) Model selection and description functions, (iv) Model diagnostics and simulation functions, (v) Prediction production and presentation functions, (vi) Response transformation functions, (vii) Object manipulation functions, and (viii) Miscellaneous functions (for further details see 'asremlPlus-package' in help). The [...truncated...]
Author: Chris Brien [aut, cre]
Maintainer: Chris Brien <chris.brien@adelaide.edu.au>

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Package starling updated to version 1.1.0 with previous version 0.6.5 dated 2026-01-26

Title: Record Linkage for Public Health Surveillance
Description: Record linkage for public health surveillance datasets using either the Fellegi-Sunter probabilistic framework (via reclin2) or deterministic exact-key matching. Provides pre-linkage data quality auditing (preflight()), Medicare number checksum validation (check_medicare()), blocking variable construction (flock()), and the murmuration() linkage engine. murmuration() expresses linkage as a single cohort-to-event concept (linking a linelist of people to a dated stream of vaccination, hospitalisation, or case events within a before/during/after time window), with the historical four-code taxonomy (case-to-hospitalisation, vaccination-to-case, vaccination-to-hospitalisation, vaccination-to-event) retained as deprecated aliases. Also provides linkage weight distribution visualisation (murmuration_plot()) and threshold sensitivity analysis (perch()) with annotated AIHW, WA Data Linkage Unit, and PHRN reference benchmarks. perch() can be called standalone or triggered automatically mid-linka [...truncated...]
Author: Nicolas Smoll [aut, cre]
Maintainer: Nicolas Smoll <nicolas.smoll@health.qld.gov.au>

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Package rjd3x13 updated to version 3.8.0 with previous version 3.7.1 dated 2026-03-11

Title: Seasonal Adjustment with 'X-13' in 'JDemetra+' 3.x
Description: R Interface to 'JDemetra+' 3.x (<https://github.com/jdemetra>) time series analysis software. It offers full access to options and outputs of 'X-13', including Reg-ARIMA modelling (automatic AutoRegressive Integrated Moving Average (ARIMA) model with outlier detection and trading days adjustment) and X-11 decomposition.
Author: Jean Palate [aut], Alain Quartier-la-Tente [aut] , Tanguy Barthelemy [aut, cre, art], Anna Smyk [aut]
Maintainer: Tanguy Barthelemy <timeserieswithjdemetraandr@gmail.com>

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Package rjd3tramoseats updated to version 3.8.0 with previous version 3.7.1 dated 2026-03-11

Title: Seasonal Adjustment with TRAMO-SEATS in 'JDemetra+' 3.x
Description: Interface to 'JDemetra+' 3.x (<https://github.com/jdemetra>) time series analysis software. It offers full access to options and outputs of 'TRAMO-SEATS' (Time series Regression with ARIMA noise, Missing values and Outliers - Signal Extraction in ARIMA Time Series), including 'TRAMO' modelling (ARIMA model with outlier detection and trading days adjustment). ARIMA = AutoRegressive Integrated Moving Average.
Author: Jean Palate [aut], Alain Quartier-la-Tente [aut] , Tanguy Barthelemy [aut, cre, art], Anna Smyk [aut]
Maintainer: Tanguy Barthelemy <timeserieswithjdemetraandr@gmail.com>

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Package PROJ updated to version 0.7.0 with previous version 0.6.0 dated 2025-04-02

Title: Generic Coordinate System Transformations Using 'PROJ'
Description: A wrapper around the generic coordinate transformation software 'PROJ' that transforms coordinates from one coordinate reference system ('CRS') to another. This includes cartographic projections as well as geodetic transformations. The intention is for this package to be used by user-packages such as 'reproj', and that the older 'PROJ.4' and version 5 pathways be provided by the 'proj4' package.
Author: Michael D. Sumner [aut, cre] , Jeroen Ooms [ctb] , Simon Urbanek [cph, ctb] , Dewey Dunnington [ctb] , Anthony North [ctb]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

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Package maidr updated to version 0.4.0 with previous version 0.3.0 dated 2026-04-01

Title: Multimodal Access and Interactive Data Representation
Description: Provides accessible, interactive visualizations through the 'MAIDR' (Multimodal Access and Interactive Data Representation) system. Converts 'ggplot2' and Base R plots into accessible HTML/SVG formats with keyboard navigation, screen reader support, and 'sonification' capabilities. Supports bar charts (simple, grouped, stacked), histograms, line plots, scatter plots, box plots, violin plots, candlestick (OHLC) charts, heat maps, density/smooth curves, faceted plots, multi-panel layouts (including patchwork), and multi-layered plot combinations. Enables data exploration for users with visual impairments through multiple sensory modalities. For more details see the 'MAIDR' project <https://maidr.ai/>.
Author: JooYoung Seo [aut, cph], Niranjan Kalaiselvan [aut, cre]
Maintainer: Niranjan Kalaiselvan <nk46@illinois.edu>

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Package edr4r updated to version 0.1.1 with previous version 0.1.0 dated 2026-06-18

Title: Client for OGC API - Environmental Data Retrieval (EDR)
Description: A tidy R client for services implementing the OGC API - Environmental Data Retrieval ('EDR') standard with JSON discovery and 'GeoJSON' or 'CoverageJSON' query responses. General purpose, but most of its real-world use is against in-situ monitoring networks (stream gauges, weather stations, snow and reservoir telemetry) that expose their stations and time series as EDR collections. Known working endpoints include the USGS waterdata OGC API and the Western Water Datahub. Provides discovery, query, and parsing helpers for the locations, items, position, area, cube, radius, trajectory, and corridor query types. Returns 'CoverageJSON' as tidy 'tibble' rows and 'GeoJSON' as 'sf' objects.
Author: Kyle Onda [aut, cre, cph]
Maintainer: Kyle Onda <konda@lincolninst.edu>

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Package dobin updated to version 1.0.5 with previous version 1.0.4 dated 2022-08-25

Title: Dimension Reduction for Outlier Detection
Description: A dimension reduction technique for outlier detection. DOBIN: a Distance based Outlier BasIs using Neighbours, constructs a set of basis vectors for outlier detection. This is not an outlier detection method; rather it is a pre-processing method for outlier detection. It brings outliers to the fore-front using fewer basis vectors (Kandanaarachchi, Hyndman 2020) <doi:10.1080/10618600.2020.1807353>.
Author: Sevvandi Kandanaarachchi [aut, cre]
Maintainer: Sevvandi Kandanaarachchi <sevvandik@gmail.com>

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Package sumup updated to version 1.0.3 with previous version 1.0.2 dated 2026-02-24

Title: Utilizing Automated Text Analysis to Support Interpretation of Narrative Feedback
Description: Combine topic modeling and sentiment analysis to identify individual students' gaps, and highlight their strengths and weaknesses across predefined competency domains and professional activities.
Author: Joyce Moonen - van Loon [aut, cre]
Maintainer: Joyce Moonen - van Loon <j.moonen@maastrichtuniversity.nl>

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Package OpenLand updated to version 1.0.5 with previous version 1.0.4 dated 2026-07-01

Title: Quantitative Analysis and Visualization of LUCC
Description: Tools for the analysis of land use and cover (LUC) time series. It includes support for loading spatiotemporal raster data and synthesized spatial plotting. Several LUC change (LUCC) metrics in regular or irregular time intervals can be extracted and visualized through one- and multistep sankey and chord diagrams. A complete intensity analysis according to Aldwaik and Pontius (2012) <doi:10.1016/j.landurbplan.2012.02.010> is implemented, including tools for the generation of standardized multilevel output graphics.
Author: Reginal Exavier [aut, cre] , Peter Zeilhofer [aut]
Maintainer: Reginal Exavier <reginalexavier@rocketmail.com>

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Package deeptime updated to version 2.4.0 with previous version 2.3.1 dated 2025-11-26

Title: Plotting Tools for Anyone Working in Deep Time
Description: Extends the functionality of other plotting packages (notably 'ggplot2') to help facilitate the plotting of data over long time intervals, including, but not limited to, geological, evolutionary, and ecological data. The primary goal of 'deeptime' is to enable users to add highly customizable timescales to their visualizations. Other functions are also included to assist with other areas of deep time visualization.
Author: William Gearty [aut, cre]
Maintainer: William Gearty <willgearty@gmail.com>

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Package ciuupi updated to version 1.2.4 with previous version 1.2.3 dated 2024-06-18

Title: Confidence Intervals Utilizing Uncertain Prior Information
Description: Computes a confidence interval for a specified linear combination of the regression parameters in a linear regression model with iid normal errors with known variance when there is uncertain prior information that a distinct specified linear combination of the regression parameters takes a given value. This confidence interval, found by numerical nonlinear constrained optimization, has the required minimum coverage and utilizes this uncertain prior information through desirable expected length properties. This confidence interval has the following three practical applications. Firstly, if the error variance has been accurately estimated from previous data then it may be treated as being effectively known. Secondly, for sufficiently large (dimension of the response vector) minus (dimension of regression parameter vector), greater than or equal to 30 (say), if we replace the assumed known value of the error variance by its usual estimator in the formula for the confidence interval then [...truncated...]
Author: Paul Kabaila [aut, cre], Rheanna Mainzer [aut], Ayesha Perera [ctb]
Maintainer: Paul Kabaila <P.Kabaila@latrobe.edu.au>

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Package spada updated to version 0.1.7 with previous version 0.1.6 dated 2026-06-11

Title: A 'shiny' Package for Data Analysis
Description: Provides a 'shiny' application with a user-friendly interface for interactive data analysis. It supports exploratory data analysis through descriptive statistics, data visualization, statistical tests (e.g., normality assessment), linear modeling, data import, transformation and reporting. For more details see Shapiro and Wilk (1965) <doi:10.2307/2333709>.
Author: Luis Gustavo Schuck [aut, cre]
Maintainer: Luis Gustavo Schuck <luisgustavoschuck@yahoo.com.br>

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Package sgolay updated to version 1.0.4 with previous version 1.0.3 dated 2023-04-05

Title: Efficient Savitzky-Golay Filtering
Description: Smoothing signals and computing their derivatives is a common requirement in signal processing workflows. Savitzky-Golay filters are a established method able to do both (Savitzky and Golay, 1964 <doi:10.1021/ac60214a047>). This package implements one dimensional Savitzky-Golay filters that can be applied to vectors and matrices (either row-wise or column-wise). Vectorization and memory allocations have been profiled to reduce computational fingerprint. Short filter lengths are implemented in the direct space, while longer filters are implemented in frequency space, using a Fast Fourier Transform (FFT).
Author: Sergio Oller Moreno [aut, cre] , Robert Gentleman [ctb, cph] ), Ross Ihaka [ctb, cph] ), Brian Ripley [ctb, cph] ), Martin Maechler [ctb, cph] ), Duncan Murdoch [ctb, cph] ), Institute for Bioengineering of Catalonia [cph]
Maintainer: Sergio Oller Moreno <sergioller@gmail.com>

Diff between sgolay versions 1.0.3 dated 2023-04-05 and 1.0.4 dated 2026-07-10

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Package Rduckhts updated to version 1.4.0-0.1.0 with previous version 1.3.0-0.1.0 dated 2026-05-29

Title: 'DuckDB' High Throughput Sequencing File Formats Reader Extension
Description: Bundles the 'duckhts' 'DuckDB' extension for reading High Throughput Sequencing file formats with 'DuckDB'. The 'DuckDB' C extension API <https://duckdb.org/docs/stable/clients/c/api> and its 'htslib' dependency are compiled from vendored sources during package installation. James K Bonfield and co-authors (2021) <doi:10.1093/gigascience/giab007>. VariantKey / RegionKey support follows Nicola Asuni (2018) <doi:10.1101/473744>.
Author: Sounkou Mahamane Toure [aut, cre], James K Bonfield, John Marshall,Petr Danecek ,Heng Li , Valeriu Ohan, Andrew Whitwham,Thomas Keane , Robert M Davies [ctb] , Brent Pedersen [cph] , Giulio Genovese [cph] , Nicola Asuni [cph] , DuckDB C Extension API [...truncated...]
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>

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Package kindling updated to version 0.3.2 with previous version 0.3.1 dated 2026-07-02

Title: Higher-Level Interface of 'torch' Package to Auto-Train Neural Networks
Description: Provides a higher-level interface to the 'torch' package for defining, training, and fine-tuning neural networks through code generation. The package supports several architectures, including feedforward (multi-layer perceptron) and recurrent neural networks (RNN, LSTM, GRU), while reducing boilerplate 'torch' code. Model training methods also bridge to machine learning frameworks in R, particularly the 'tidymodels' ecosystem, including 'parsnip' model specifications, workflows, recipes, and tuning tools.
Author: Joshua Marie [aut, cre], Antoine Soetewey [aut]
Maintainer: Joshua Marie <joshua.marie.k@gmail.com>

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Package blisa updated to version 1.0.0 with previous version 0.2.0 dated 2026-06-02

Title: Infer Cell-Cell Communication from Spatial Transcriptomics
Description: Identifies cell-cell communication hotspots in spatial transcriptomics data using bivariate Local Moran's I statistics on hexagonally binned cells. Provides functions for spatial weighting, ligand-receptor pair filtering, hotspot detection, and visualisation of sender-receiver cell-type interactions.
Author: Yunshun Chen [aut, cre], Lei Qin [aut], Lizhong Chen [aut]
Maintainer: Yunshun Chen <yuchen@wehi.edu.au>

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Package BEND updated to version 2.1.0 with previous version 2.0.1 dated 2026-04-18

Title: Bayesian Estimation of Nonlinear Data (BEND)
Description: Provides a set of models to estimate nonlinear longitudinal data using Bayesian estimation methods. These models include the: 1) Bayesian Piecewise Random Effects Model (Bayes_PREM()) which estimates a piecewise random effects (mixture) model for a given number of latent classes and a latent number of possible changepoints in each class, and can incorporate class and outcome predictive covariates (see Lamm (2022) <https://hdl.handle.net/11299/252533> and Lock et al., (2018) <doi:10.1007/s11336-017-9594-5>), 2) Bayesian Crossed Random Effects Model (Bayes_CREM()) which estimates a linear, quadratic, exponential, or piecewise crossed random effects models where individuals are changing groups over time (e.g., students and schools; see Rohloff et al., (2024) <doi:10.1111/bmsp.12334>), and 3) Bayesian Bivariate Piecewise Random Effects Model (Bayes_BPREM()) which estimates a bivariate piecewise random effects model to jointly model two related outcomes (e.g., reading and [...truncated...]
Author: Corissa T. Rohloff [aut, cre] , Rik Lamm [aut] , Yadira Peralta [aut] , Nidhi Kohli [aut] , Eric F. Lock [aut]
Maintainer: Corissa T. Rohloff <corissa.wurth@gmail.com>

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Thu, 09 Jul 2026

Package recodeflow updated to version 0.1.0.1 with previous version 0.1.0 dated 2021-06-09

Title: Interface Functions for PMML Creation, and Data Recoding
Description: Contains functions to interface with variables and variable details sheets, including recoding variables and converting them to PMML.
Author: Yulric Sequeira [aut, cre], Luke Bailey [aut], Rostyslav Vyuha [aut], The Ottawa Hospital [cph], Doug Manuel [cph]
Maintainer: Yulric Sequeira <ysequeira@ohri.ca>

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Package paran updated to version 1.5.6 with previous version 1.5.5 dated 2026-02-13

Title: Horn's Test of Principal Components/Factors
Description: An implementation of Horn's technique for numerically and graphically evaluating the components or factors retained in a principle components analysis (PCA) or common factor analysis (FA). Horn's method contrasts eigenvalues produced through a PCA or FA on a number of random data sets of uncorrelated variables with the same number of variables and observations as the experimental or observational data set to produce eigenvalues for components or factors that are adjusted for the sample error-induced inflation. Components with adjusted eigenvalues greater than one are retained. paran may also be used to conduct parallel analysis following Glorfeld's (1995) suggestions to reduce the likelihood of over-retention.
Author: Alexis Dinno [aut, cre, cph]
Maintainer: Alexis Dinno <alexis.dinno@pdx.edu>

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Package multiblock updated to version 0.8.11 with previous version 0.8.10 dated 2025-04-01

Title: Multiblock Data Fusion in Statistics and Machine Learning
Description: Functions and datasets to support Smilde, NƦs and Liland (2021, ISBN: 978-1-119-60096-1) "Multiblock Data Fusion in Statistics and Machine Learning - Applications in the Natural and Life Sciences". This implements and imports a large collection of methods for multiblock data analysis with common interfaces, result- and plotting functions, several real data sets and six vignettes covering a range different applications.
Author: Kristian Hovde Liland [aut, cre] , Solve Saeboe [ctb], Stefan Schrunner [rev]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package gimap updated to version 1.1.3 with previous version 1.1.2 dated 2026-02-05

Title: Calculate Genetic Interactions for Paired CRISPR Targets
Description: Helps find meaningful patterns in complex genetic experiments. First gimap takes data from paired CRISPR (Clustered regularly interspaced short palindromic repeats) screens that has been pre-processed to counts table of paired gRNA (guide Ribonucleic Acid) reads. The input data will have cell counts for how well cells grow (or don't grow) when different genes or pairs of genes are disabled. The output of the 'gimap' package is genetic interaction scores which are the distance between the observed CRISPR score and the expected CRISPR score. The expected CRISPR scores are what we expect for the CRISPR values to be for two unrelated genes. The further away an observed CRISPR score is from its expected score the more we suspect genetic interaction. The work in this package is based off of original research from the Alice Berger lab at Fred Hutchinson Cancer Center (2021) <doi:10.1016/j.celrep.2021.109597>.
Author: Candace Savonen [aut, cre] , Phoebe C.R. Parrish [aut] , Kathryn J. Isaac [aut] , Daniel Groso [aut], Marissa Fujimoto [aut], Siobhan O'Brien [aut] , Alice H. Berger [aut]
Maintainer: Candace Savonen <cansav09@gmail.com>

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Package gbm updated to version 2.3.1 with previous version 2.3.0 dated 2026-07-08

Title: Generalized Boosted Regression Models
Description: An implementation of extensions to Freund and Schapire's AdaBoost algorithm and Friedman's gradient boosting machine. Includes regression methods for least squares, absolute loss, t-distribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential loss, Huberized hinge loss, and Learning to Rank measures (LambdaMart). Originally developed by Greg Ridgeway. Newer version available at <https://github.com/gbm-developers/gbm3>.
Author: Greg Ridgeway [aut, cre] , Daniel Edwards [ctb], Brian Kriegler [ctb], Stefan Schroedl [ctb], Harry Southworth [ctb], Brandon Greenwell [ctb] , Bradley Boehmke [ctb] , Jay Cunningham [ctb], GBM Developers [aut]
Maintainer: Greg Ridgeway <gridge@upenn.edu>

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Package exdqlm updated to version 1.1.0 with previous version 1.0.0 dated 2026-06-04

Title: Extended Dynamic Quantile Linear Models
Description: Bayesian quantile-regression routines for dynamic state-space models and static regression under the extended asymmetric Laplace (exAL) error distribution. The dynamic state-space models are extended dynamic quantile linear models (exDQLMs). The package combines dynamic exDQLM inference via Laplace-delta variational Bayes (LDVB), Markov chain Monte Carlo (MCMC), and legacy importance-sampling variational Bayes (ISVB) with static exAL regression via LDVB and MCMC, reduced asymmetric Laplace/dynamic quantile linear model (AL/DQLM) paths through fixed skewness, component builders for trend/seasonality/regression blocks, static shrinkage priors including ridge, regularized horseshoe, and 'rhs_ns', evidence lower bound (ELBO) diagnostics, optional C++ accelerators, and posterior predictive synthesis across separately fitted quantiles through 'quantileSynthesis()'. Dynamic exDQLM methods are described in Barata et al. (2020) <doi:10.1214/21-AOAS1497>.
Author: Raquel Barata [aut, cre], Raquel Prado [ths], Bruno Sanso [ths], Antonio Aguirre [aut]
Maintainer: Raquel Barata <raquel.a.barata@gmail.com>

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Package AeRobiology updated to version 2.0.4 with previous version 2.0.3 dated 2026-07-09

Title: A Computational Tool for Aerobiological Data
Description: Different tools for managing databases of airborne particles, elaborating the main calculations and visualization of results. In a first step, data are checked using tools for quality control and all missing gaps are completed. Then, the main parameters of the pollen season are calculated and represented graphically. Multiple graphical tools are available: pollen calendars, phenological plots, time series, tendencies, interactive plots, abundance plots...
Author: Jesus Rojo [aut], Antonio Picornell [aut], Jose Oteros [aut, cre]
Maintainer: Jose Oteros <OterosJose@gmail.com>

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Package QualityMeasure updated to version 2.0.2 with previous version 2.0.1 dated 2025-10-16

Title: Methods for Analyzing Quality Measure Performance
Description: Quality of care is compared across accountable entities, including hospitals, provider groups, and insurance plans, using standardized quality measures. However, observed variations in quality measure performance might be the result of chance sampling or measurement errors. Contains functions for estimating the reliability of unadjusted and risk-standardized quality measures.
Author: Kenneth Nieser [aut, cre, cph]
Maintainer: Kenneth Nieser <nieser@stanford.edu>

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Package pmml updated to version 2.6.1 with previous version 2.6.0 dated 2026-03-26

Title: Generate PMML for Various Models
Description: The Predictive Model Markup Language (PMML) is an XML-based language which provides a way for applications to define machine learning, statistical and data mining models and to share models between PMML compliant applications. More information about the PMML industry standard and the Data Mining Group can be found at <https://dmg.org/>. The generated PMML can be imported into any PMML consuming application, such as Zementis Predictive Analytics products.
Author: Michael Hahsler [aut, cre], Bruno Rodrigues [aut], Dmitriy Bolotov [aut], Tridivesh Jena [aut], Graham Williams [aut], Wen-Ching Lin [aut], Hemant Ishwaran [aut], Udaya B. Kogalur [aut], Rajarshi Guha [aut], Software AG [cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package nanonext updated to version 1.10.1 with previous version 1.10.0 dated 2026-07-01

Title: Lightweight Toolkit for Messaging, Concurrency and the Web
Description: R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. A toolkit for messaging, concurrency and the web. High-performance socket messaging over in-process, IPC, TCP, WebSocket and secure TLS transports implements 'Scalability Protocols', a standard for common communications patterns including publish/subscribe, request/reply and survey. A threaded concurrency framework with intuitive 'aio' objects that resolve automatically upon completion of asynchronous operations, and synchronisation primitives that allow R to wait on events signalled by concurrent threads. A unified HTTP server hosting REST endpoints, WebSocket connections and streaming on a single port, with a built-in HTTP client.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Hibiki AI Limited [cph], Staysail Systems, Inc. [cph] , Capitar IT Group BV [cph] , The Mbed TLS Contributors [cph] , Pierre L'Ecuyer [cph] , sakura authors [cph] , R Consortium [fnd]
Maintainer: Charlie Gao <charlie.gao@posit.co>

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Package condformat updated to version 0.11.0 with previous version 0.10.1 dated 2023-10-08

Title: Conditional Formatting in Data Frames
Description: Apply and visualize conditional formatting to data frames in R. It renders a data frame with cells formatted according to criteria defined by rules, using a tidy evaluation syntax. The table is printed either opening a web browser or within the 'RStudio' viewer if available. The conditional formatting rules allow to highlight cells matching a condition or add a gradient background to a given column. This package supports both 'HTML' and 'LaTeX' outputs in 'knitr' reports, and exporting to an 'xlsx' file.
Author: Sergio Oller Moreno [aut, cph, cre]
Maintainer: Sergio Oller Moreno <sergioller@gmail.com>

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Package sshist updated to version 0.2.2 with previous version 0.1.3 dated 2026-03-04

Title: Optimal Density Estimation via Shimazaki-Shinomoto Method
Description: Implements the Shimazaki-Shinomoto method for optimizing the bin width of histograms and the bandwidth of kernel density estimators. The framework minimizes the expected Mean Integrated Squared Error (MISE) and supports both 1D and 2D distributions, fixed and locally adaptive estimators, bootstrap confidence intervals, and 'OpenMP'-accelerated 'C++' 'backends'. Ideally suited for time-dependent rate estimation and identifying intrinsic data structures. For more details see Shimazaki and Shinomoto (2007) <doi:10.1162/neco.2007.19.6.1503> and Shimazaki and Shinomoto (2010) <doi:10.1007/s10827-009-0180-4>.
Author: Daniil Popov [aut, cre]
Maintainer: Daniil Popov <popov.daniil@gmail.com>

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Package MAIHDA updated to version 0.2.1 with previous version 0.2.0 dated 2026-07-02

Title: Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy
Description: Tools for Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) for intersectional inequality research. Methods are described in Merlo (2018) <doi:10.1016/j.socscimed.2017.12.026> and Evans et al. (2018) <doi:10.1016/j.socscimed.2017.11.011>. The package creates intersectional strata, fits multilevel MAIHDA models, estimates variance partition coefficients, proportional change in variance, stratum effects, and discriminatory-accuracy summaries, and provides diagnostic and presentation plots.
Author: Hamid Bulut [aut, cre]
Maintainer: Hamid Bulut <me@hamidbulut.com>

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Package lt updated to version 0.2 with previous version 0.1 dated 2026-06-30

Title: Lightweight Tables via JSON Specs and JavaScript
Description: A lightweight grammar of tables. Build a table by declaring a JSON spec (titles, spanners, row groups, footnotes, formatting functions, etc.); a tiny vanilla JavaScript runtime builds the HTML table from the spec on page load. No 'sass', no 'V8', no 'htmlwidgets' — just base R and 'xfun' ('htmltools' is used only for the optional Shiny binding).
Author: Yihui Xie [aut, cre, cph]
Maintainer: Yihui Xie <xie@yihui.name>

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Package cohorts updated to version 1.3.0 with previous version 1.0.1 dated 2022-05-15

Title: Cohort Analysis Made Easy
Description: Functions to simplify the process of preparing event and transaction for cohort analysis.
Author: Peer Christensen [aut, cre]
Maintainer: Peer Christensen <hr.pchristensen@gmail.com>

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Package rPublic updated to version 1.2.0 with previous version 1.0.0 dated 2025-08-22

Title: 'Public Trading API'
Description: The 'Public Trading API' <https://public.com/api/docs> allows clients to access their brokerage accounts, request market data, and place stock/etf/option orders.
Author: Jason Guevara [aut, cre]
Maintainer: Jason Guevara <Jason.guevara.yt@gmail.com>

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Package pecanr updated to version 0.3.1 with previous version 0.3.0 dated 2026-06-23

Title: Partial Eta-Squared for Crossed, Nested, and Mixed Linear Mixed Models
Description: Computes partial eta-squared effect sizes for fixed effects in linear mixed models fitted with the 'lme4' package. Supports crossed, nested, and mixed (crossed-and-nested) random effects structures with any number of grouping factors. Mixed designs handle cases where grouping factors are simultaneously crossed with some variables and nested within others (e.g., photos nested within models, but both crossed with participants). Factor predictors are supported directly, and a single factor-level (omnibus) effect size can be obtained for a multi-level factor or multi-df interaction. Random slope variances are translated to the outcome scale using a variance decomposition approach, correctly accounting for predictor scaling and interaction terms. Both general and operative effect sizes are provided, with optional parametric bootstrap confidence intervals. For correlated predictors, per-predictor effect sizes use unique (semipartial) variance by default. Methods are based on Correll, Melling [...truncated...]
Author: Brandon Cohen [aut, cre] , Joshua Correll [aut, ths]
Maintainer: Brandon Cohen <brandon.cohen-1@colorado.edu>

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Package istacr updated to version 0.3.1 with previous version 0.3.0 dated 2025-09-04

Title: Obtaining Open Data from Instituto Canario De Estadistica (ISTAC) API
Description: You can access to open data published in Instituto Canario De Estadistica (ISTAC) APIs at <https://datos.canarias.es/api/estadisticas/>.
Author: Alberto Gonzalez [cph], Elisa Jorge [aut, cre]
Maintainer: Elisa Jorge <ejorgon@gobiernodecanarias.org>

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Package FoRecoML updated to version 1.1.1 with previous version 1.1.0 dated 2026-06-23

Title: Forecast Reconciliation with Machine Learning
Description: Nonlinear forecast reconciliation with machine learning in cross-sectional (Spiliotis et al. 2021 <doi:10.1016/j.asoc.2021.107756>), temporal, and cross-temporal (Rombouts et al. 2024 <doi:10.1016/j.ijforecast.2024.05.008>) frameworks.
Author: Daniele Girolimetto [aut, cre] , Yangzhuoran Fin Yang [aut] , Jeroen Rombouts [aut] , Ines Wilms [aut]
Maintainer: Daniele Girolimetto <daniele.girolimetto@unipd.it>

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Package daltoolbox updated to version 1.3.767 with previous version 1.3.747 dated 2026-05-14

Title: Leveraging Experiment Lines to Data Analytics
Description: The natural increase in the complexity of current research experiments and data demands better tools to enhance productivity in Data Analytics. The package is a framework designed to address the modern challenges in data analytics workflows. The package is inspired by Experiment Line concepts. It aims to provide seamless support for users in developing their data mining workflows by offering a uniform data model and method API. It enables the integration of various data mining activities, including data preprocessing, classification, regression, clustering, and time series prediction. It also offers options for hyper-parameter tuning and supports integration with existing libraries and languages. Overall, the package provides researchers with a comprehensive set of functionalities for data science, promoting ease of use, extensibility, and integration with various tools and libraries. Information on Experiment Line is based on Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_2 [...truncated...]
Author: Eduardo Ogasawara [aut, ths, cre] , Ana Carolina Sa [aut], Antonio Castro [aut], Caio Santos [aut], Diego Carvalho [ctb], Diego Salles [aut], Eduardo Bezerra [ctb], Esther Pacitti [ctb], Fabio Porto [ctb], Janio Lima [aut], Lucas Tavares [aut], Rafae [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

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Package ccaPP updated to version 0.3.6 with previous version 0.3.5 dated 2025-10-02

Title: (Robust) Canonical Correlation Analysis via Projection Pursuit
Description: Canonical correlation analysis and maximum correlation via projection pursuit, as well as fast implementations of correlation estimators, with a focus on robust and nonparametric methods.
Author: Andreas Alfons [aut, cre] , David Simcha [ctb] ) implementation of Kendall correlation)
Maintainer: Andreas Alfons <alfons@ese.eur.nl>

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Package bibliorefer updated to version 0.1.4 with previous version 0.1.3 dated 2026-02-07

Title: Generator of Main Scientific References
Description: Generates a list, with a size defined by the user, containing the main scientific references and the frequency distribution of authors and journals in the list obtained. The database is a dataframe with academic production metadata made available by bibliographic collections such as Scopus, Web of Science, etc. The temporal evolution of scientific production on a given topic is presented and ordered lists of articles are constructed by number of citations and of authors and journals by level of productivity. Massimo Aria, Corrado Cuccurullo. (2017) <doi:10.1016/j.joi.2017.08.007>. Caibo Zhou, Wenyan Song. (2021) <doi:10.1016/j.jclepro.2021.126943>.
Author: Marcio Eustaquio [aut, cre]
Maintainer: Marcio Eustaquio <marcioeustaquio@id.uff.br>

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Package Rparadox updated to version 0.3.0 with previous version 0.2.2 dated 2026-02-16

Title: Read Paradox Database Files
Description: Provides a simple and efficient way to read data from Paradox database files (.db) directly into R as modern 'tibble' data frames. It uses the underlying 'pxlib' C library to handle the low-level file format details and provides a clean, user-friendly R interface.
Author: Daniil Popov [aut, cre]
Maintainer: Daniil Popov <popov.daniil@gmail.com>

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Package mvnma updated to version 0.2-0 with previous version 0.1-0 dated 2026-05-19

Title: Multivariate Network Meta-Analysis using Bayesian Methods
Description: Tools to conduct Bayesian multivariate network meta-analysis providing - the single correlation coefficient model by Efthimiou et al. (2015) <doi:10.1093/biostatistics/kxu030>; - per-outcome treatment hierarchies using the surface under the cumulative ranking curve (SUCRA), the probability of best value, or median (or mean) ranks (Salanti et al., 2011) <doi:10.1016/j.jclinepi.2010.03.016>; - across-outcomes benefit-risk assessment using the ViŔeKriterijumska Optimizacija I Kompromisno ReŔenje (VIKOR) method (Opricovic & Tzeng, 2004) <doi:10.1016/S0377-2217(03)00020-1>; - convergence checks using trace plots, density plots, or the R-hat statistic; - forest plots of treatment estimates, scatter plots of per-outcome rankings, Hasse diagrams (Carlsen & Bruggemann, 2014) <doi:10.1002/cem.2569> to visualize the partial order of the treatments across all outcomes.
Author: Theodoros Evrenoglou [aut, cre] , Guido Schwarzer [aut]
Maintainer: Theodoros Evrenoglou <theodoros.evrenoglou@uniklinik-freiburg.de>

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Package micromodal updated to version 1.0.1 with previous version 1.0.0 dated 2023-08-17

Title: Create Simple and Elegant Modal Dialogs in 'shiny'
Description: Enables you to create accessible modal dialogs, with confidence and with minimal configuration.
Author: Kennedy Mwavu [aut, cre, cph]
Maintainer: Kennedy Mwavu <mwavukennedy@gmail.com>

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Package isocat updated to version 1.0.0 with previous version 0.3.0 dated 2024-02-15

Title: Isotope Origin Clustering and Assignment Tools
Description: This resource provides tools to create, compare, and post-process spatial isotope assignment models of animal origin. It generates probability-of-origin maps for individuals based on user-provided tissue and environment isotope values (e.g., as generated by IsoMAP, Bowen et al. [2013] <doi:10.1111/2041-210X.12147>) using the framework established in Bowen et al. (2010) <doi:10.1146/annurev-earth-040809-152429>). The package 'isocat' can then quantitatively compare and cluster these maps to group individuals by similar origin. It also includes techniques for applying four approaches (cumulative sum, odds ratio, quantile only, and quantile simulation) with which users can summarize geographic origins and probable distance traveled by individuals. Campbell et al. [2020] establishes several of the functions included in this package <doi:10.1515/ami-2020-0004>.
Author: Caitlin Campbell [aut, cre]
Maintainer: Caitlin Campbell <caitjcampbell@gmail.com>

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Package editbl updated to version 1.3.2 with previous version 1.3.0 dated 2025-04-24

Title: 'DT' Extension for CRUD (Create, Read, Update, Delete) Applications in 'shiny'
Description: The core of this package is a function eDT() which enhances DT::datatable() such that it can be used to interactively modify data in 'shiny'. By the use of generic 'dplyr' methods it supports many types of data storage, with relational databases ('dbplyr') being the main use case.
Author: Jasper Schelfhout [aut, cre], Maxim Nazarov [rev], Daan Seynaeve [rev], Lennart Tuijnder [rev], Saar Junius [aut]
Maintainer: Jasper Schelfhout <jasper.schelfhout@openanalytics.eu>

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Package DSAIRM updated to version 1.0.0 with previous version 0.9.6 dated 2023-08-23

Title: Dynamical Systems Approach to Immune Response Modeling
Description: Simulation models (apps) of various within-host immune response scenarios. The purpose of the package is to help individuals learn about within-host infection and immune response modeling from a dynamical systems perspective. All apps include explanations of the underlying models and instructions on what to do with the models.
Author: Andreas Handel [aut, cre] , Cody Dailey [ctb], Yang Ge [ctb], Spencer Hall [ctb], Brian McKay [ctb], Sina Solaimanpour [ctb], Alexis Vittengl [ctb], Henok Woldu [ctb]
Maintainer: Andreas Handel <andreas.handel@gmail.com>

Diff between DSAIRM versions 0.9.6 dated 2023-08-23 and 1.0.0 dated 2026-07-09

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Package DatastreamDSWS2R updated to version 1.11.0 with previous version 1.9.12 dated 2025-03-30

Title: Provides a Link Between the 'LSEG Datastream' System and R
Description: Provides a set of functions and a class to connect, extract and upload information from the 'LSEG Datastream' database. This package uses the 'DSWS' API. Details of this API are available at <https://www.lseg.com/en/data-analytics>. Please report issues at <https://github.com/CharlesCara/DatastreamDSWS2R/issues>.
Author: Charles Cara [aut, cre, cph]
Maintainer: Charles Cara <charles.cara@absolute-strategy.com>

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Package dae updated to version 3.2.35 with previous version 3.2.32 dated 2025-08-20

Title: Functions Useful in the Design and ANOVA of Experiments
Description: The content falls into the following groupings: (i) Data, (ii) Factor manipulation functions, (iii) Design functions, (iv) ANOVA functions, (v) Matrix functions, (vi) Projector and canonical efficiency functions, and (vii) Miscellaneous functions. There is a vignette describing how to use the design functions for randomizing and assessing designs available as a vignette called 'DesignNotes'. The ANOVA functions facilitate the extraction of information when the 'Error' function has been used in the call to 'aov'. The package 'dae' can also be installed from <http://chris.brien.name/rpackages/>.
Author: Chris Brien [aut, cre]
Maintainer: Chris Brien <chris.brien@adelaide.edu.au>

Diff between dae versions 3.2.32 dated 2025-08-20 and 3.2.35 dated 2026-07-09

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Package airGRteaching updated to version 0.3.7 with previous version 0.3.5 dated 2025-03-27

Title: Teaching Hydrological Modelling with the GR Rainfall-Runoff Models ('Shiny' Interface Included)
Description: Add-on package to the 'airGR' package that simplifies its use and is aimed at being used for teaching hydrology. The package provides 1) three functions that allow to complete very simply a hydrological modelling exercise 2) plotting functions to help students to explore observed data and to interpret the results of calibration and simulation of the GR ('GƩnie rural') models 3) a 'Shiny' graphical interface that allows for displaying the impact of model parameters on hydrographs and models internal variables.
Author: Olivier Delaigue [aut, cre] , Laurent Coron [aut] , Pierre Brigode [aut] , Guillaume Thirel [aut]
Maintainer: Olivier Delaigue <airGR@inrae.fr>

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Package rice updated to version 2.2.1 with previous version 2.2.0 dated 2026-06-15

Title: Radiocarbon Equations
Description: Provides functions for the calibration of radiocarbon dates, as well as options to calculate different radiocarbon-related timescales (cal BP, cal BC/AD, C14 age, F14C, pMC, D14C) and estimating the effects of contamination or local reservoir offsets (Reimer and Reimer 2001 <doi:10.1017/S0033822200038339>). Supporting publication: Blaauw, M., Reimer, P.J., 2026. An open-source toolkit for radiocarbon dating and calibration. Radiocarbon <doi:10.1017/RDC.2026.10221>. The methods follow long-established recommendations such as Stuiver and Polach (1977) <doi:10.1017/S0033822200003672> and Reimer et al. (2004) <doi:10.1017/S0033822200033154>. This package uses the calibration curves from the data package 'rintcal'.
Author: Maarten Blaauw [aut, cre] , Paula Reimer [ctb] , Vegard Martinsen [ctb]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package uteals updated to version 0.0.5 with previous version 0.0.3 dated 2026-04-13

Title: Shared Utilities to Extend the 'teal' Modules
Description: Provides decorators, transformators, and utility functions to extend the 'teal' framework for interactive data analysis applications. Implements methods for data visualization enhancement, statistical data transformations, and workflow integration tools. Designed to support clinical and pharmaceutical research workflows within the 'teal' ecosystem through modular and reusable components.
Author: Nadia Abraham [aut], Chanchal Bhalla [aut], Peyman Eshghi [aut, cre], Pranith Gourisetty [aut], Sohan Lal [aut], Przemyslaw Posiadala [aut], Alina Tselinina [aut], Konrad Pagacz [aut], PHUSE [cph]
Maintainer: Peyman Eshghi <peymaan.es@gmail.com>

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Package ipeaplot updated to version 0.5.4 with previous version 0.5.3 dated 2026-07-06

Title: Add Ipea Editorial Standards to 'ggplot2' Graphics
Description: Convenient functions to create 'ggplot2' graphics following the editorial guidelines of the Institute for Applied Economic Research (Ipea).
Author: Pedro Ferreira [aut, cre], Pedro Jorge [aut], Daniel Lima [aut], Gustavo Coelho [aut], Rafael H. M. Pereira [aut], Lucas Mation [aut], Fabio Vaz [ctb], Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Pedro Ferreira <pedro.ferreira2@ipea.gov.br>

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Package FoReco updated to version 1.3.1 with previous version 1.3.0 dated 2026-06-22

Title: Forecast Reconciliation
Description: Classical (bottom-up and top-down), optimal combination and heuristic point (Di Fonzo and Girolimetto, 2023 <doi:10.1016/j.ijforecast.2021.08.004>) and probabilistic (Girolimetto et al. 2024 <doi:10.1016/j.ijforecast.2023.10.003>) forecast reconciliation procedures for linearly constrained time series (e.g., hierarchical or grouped time series) in cross-sectional, temporal, or cross-temporal frameworks.
Author: Daniele Girolimetto [aut, cre] , Tommaso Di Fonzo [aut] , Yangzhuoran Fin Yang [ctb]
Maintainer: Daniele Girolimetto <daniele.girolimetto@unipd.it>

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Package finna readmission to version 0.1.3 with previous version 0.1.2 dated 2026-06-18

Title: Access the 'Finna' API
Description: Provides functions to access and retrieve metadata from the 'Finna' API <https://api.finna.fi/>, which aggregates content from Finnish archives, libraries, and museums.
Author: Akewak Jeba [aut, cre] , Leo Lahti [aut]
Maintainer: Akewak Jeba <akewak84@gmail.com>

This is a re-admission after prior archival of version 0.1.2 dated 2026-06-18

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Package AeRobiology updated to version 2.0.3 with previous version 2.0.2 dated 2026-02-24

Title: A Computational Tool for Aerobiological Data
Description: Different tools for managing databases of airborne particles, elaborating the main calculations and visualization of results. In a first step, data are checked using tools for quality control and all missing gaps are completed. Then, the main parameters of the pollen season are calculated and represented graphically. Multiple graphical tools are available: pollen calendars, phenological plots, time series, tendencies, interactive plots, abundance plots...
Author: Jesus Rojo [aut], Antonio Picornell [aut], Jose Oteros [aut, cre]
Maintainer: Jose Oteros <OterosJose@gmail.com>

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Package MetaHD updated to version 0.1.6 with previous version 0.1.5 dated 2026-07-08

Title: A Multivariate Meta-Analysis Model for High-Dimensional Data
Description: Performs multivariate meta-analysis for high-dimensional data to integrate and collectively analyse individual-level data from multiple studies, as well as to combine summary estimates. This approach accounts for correlation between outcomes, incorporates within- and between-study variability, handles missing values, and uses shrinkage estimation to accommodate high dimensionality. The 'MetaHD' R package provides access to our multivariate meta-analysis approach, along with a comprehensive suite of existing meta-analysis methods, including fixed-effects and random-effects models, Fisher's method, Stouffer's method, the weighted Z method, Lancaster's method, the weighted Fisher's method, and vote-counting approach. Visualisation tools are provided for interpreting and comparing results across methods, including Venn diagrams, UpSet plots, and ROC curves, heatmaps of pooled effect sizes and correlations among outcomes. A detailed vignette with example datasets and code for data preparati [...truncated...]
Author: Jayamini Liyanage [aut, cre], Alysha De Livera [aut], Luke Prendergast [aut]
Maintainer: Jayamini Liyanage <j.liyanage@latrobe.edu.au>

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Package xfun updated to version 0.60 with previous version 0.59 dated 2026-06-19

Title: Supporting Functions for Packages Maintained by 'Yihui Xie'
Description: Miscellaneous functions commonly used in other packages maintained by 'Yihui Xie'.
Author: Yihui Xie [aut, cre, cph] , Wush Wu [ctb], Daijiang Li [ctb], Xianying Tan [ctb], Salim Brueggemann [ctb] , Christophe Dervieux [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package sommer updated to version 4.4.6 with previous version 4.4.5 dated 2026-03-25

Title: Solving Mixed Model Equations in R
Description: Structural multivariate-univariate linear mixed model solver for estimation of multiple random effects with unknown variance-covariance structures (e.g., heterogeneous and unstructured) and known covariance among levels of random effects (e.g., pedigree and genomic relationship matrices) (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>; Jensen et al., 1997). REML estimates can be obtained using the Direct-Inversion Newton-Raphson and Direct-Inversion Average Information algorithms for the problems r x r (r being the number of records) or using the Henderson-based average information algorithm for the problem c x c (c being the number of coefficients to estimate). Spatial models can also be fitted using the two-dimensional spline functionality available.
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

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Package plotthis updated to version 0.13.1 with previous version 0.12.1 dated 2026-06-10

Title: High-Level Plotting Built Upon 'ggplot2' and Other Plotting Packages
Description: Provides high-level API and a wide range of options to create stunning, publication-quality plots effortlessly. It is built upon 'ggplot2' and other plotting packages, and is designed to be easy to use and to work seamlessly with 'ggplot2' objects. It is particularly useful for creating complex plots with multiple layers, facets, and annotations. It also provides a set of functions to create plots for specific types of data, such as Venn diagrams, alluvial diagrams, and phylogenetic trees. The package is designed to be flexible and customizable, and to work well with the 'ggplot2' ecosystem. The API can be found at <https://pwwang.github.io/plotthis/reference/index.html>.
Author: Panwen Wang [aut, cre]
Maintainer: Panwen Wang <pwwang@pwwang.com>

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Package mongolstats updated to version 0.2.0 with previous version 0.1.1 dated 2026-01-26

Title: Mongolian 'NSO' 'PXWeb' Data and Boundaries (Tidy Client)
Description: A 'tidyverse'-friendly client for the National Statistics Office of Mongolia 'PXWeb' API <https://data.1212.mn/> with helpers to discover tables, variables, and fetch statistical data. Also includes utilities to retrieve Mongolia administrative boundaries (ADM0-ADM2) as 'sf' objects from open sources for mapping and spatial analysis.
Author: Temuulen Enebish [aut, cre, cph]
Maintainer: Temuulen Enebish <temuulen@gmail.com>

Diff between mongolstats versions 0.1.1 dated 2026-01-26 and 0.2.0 dated 2026-07-09

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More information about mongolstats at CRAN
Permanent link

Package KMD updated to version 0.1.1 with previous version 0.1.0 dated 2022-10-06

Title: Kernel Measure of Multi-Sample Dissimilarity
Description: Implementations of the kernel measure of multi-sample dissimilarity (KMD) between several samples using K-nearest neighbor graphs and minimum spanning trees. The KMD measures the dissimilarity between multiple samples, based on the observations from them. It converges to the population quantity (depending on the kernel) which is between 0 and 1. A small value indicates the multiple samples are from the same distribution, and a large value indicates the corresponding distributions are different. The population quantity is 0 if and only if all distributions are the same, and 1 if and only if all distributions are mutually singular. The package also implements the tests based on KMD for H0: the M distributions are equal against H1: not all the distributions are equal. Both permutation test and asymptotic test are available. These tests are consistent against all alternatives where at least two samples have different distributions. For more details on KMD and the associated tests, see Huan [...truncated...]
Author: Zhen Huang [aut, cre]
Maintainer: Zhen Huang <zh2395@columbia.edu>

Diff between KMD versions 0.1.0 dated 2022-10-06 and 0.1.1 dated 2026-07-09

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More information about KMD at CRAN
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Package icarm updated to version 0.2.0 with previous version 0.1.0 dated 2026-06-30

Title: Interpretable Contextual-Accountable and Responsible Machine Learning
Description: A general-purpose framework for Interpretable Contextual-Accountable and Responsible Machine Learning (ICARM) that works with any clean tabular data across any application domain including healthcare, finance, social science, business, and education. Automatically detects whether a prediction task is binary classification, multi-class classification, or regression from the target variable type. Provides a unified entry point icarm_fit() supporting both interpretable learners (Classification and Regression Trees (CART), logistic regression, linear regression, Generalized Additive Models (GAM)) and extended learners (random forest, 'XGBoost', Support Vector Machines (SVM)) with consistent interfaces for global and local model explanation including approximate SHapley Additive exPlanations (SHAP) values and Partial Dependence Profiles (PDPs), learning curve diagnostics, group-level fairness auditing across protected attributes, probability calibration, threshold analysis, multi-model comp [...truncated...]
Author: Olushina Olawale Awe [aut, cre], Ludwigsburg University of Education [fnd]
Maintainer: Olushina Olawale Awe <olawaleawe@gmail.com>

Diff between icarm versions 0.1.0 dated 2026-06-30 and 0.2.0 dated 2026-07-09

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Package condor updated to version 3.0.3 with previous version 3.0.2 dated 2026-03-22

Title: Interact with 'Condor' from R via SSH
Description: Interact with 'Condor' from R via SSH connection. Files are first uploaded from user machine to submitter machine, and the job is then submitted from the submitter machine to 'Condor'. Functions are provided to submit, list, and download 'Condor' jobs from R. 'Condor' is an open source high-throughput computing software framework for distributed parallelization of computationally intensive tasks.
Author: Arni Magnusson [aut, cre], Nan Yao [aut], Jemery Day [ctb], Thomas Teears [ctb]
Maintainer: Arni Magnusson <thisisarni@gmail.com>

Diff between condor versions 3.0.2 dated 2026-03-22 and 3.0.3 dated 2026-07-09

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Package BMIselect updated to version 1.0.4 with previous version 1.0.3 dated 2025-08-25

Title: Bayesian MI-LASSO for Variable Selection on Multiply-Imputed Datasets
Description: Provides a suite of Bayesian MI-LASSO for variable selection methods for multiply-imputed datasets. The package includes four Bayesian MI-LASSO models using shrinkage (Multi-Laplace, Horseshoe, ARD) and Spike-and-Slab (Spike-and-Laplace) priors, along with tools for model fitting via MCMC, four-step projection predictive variable selection, and hyperparameter calibration. Methods are suitable for both continuous and binary covariates under missing-at-random or missing-completely-at-random assumptions. See Zou, J., Wang, S. and Chen, Q. (2025), Bayesian MI-LASSO for Variable Selection on Multiply-Imputed Data. ArXiv, 2211.00114. <doi:10.48550/arXiv.2211.00114> for more details. We also provide the frequentist MI-LASSO function.
Author: Jungang Zou [aut, cre], Sijian Wang [aut], Qixuan Chen [aut]
Maintainer: Jungang Zou <jungang.zou@gmail.com>

Diff between BMIselect versions 1.0.3 dated 2025-08-25 and 1.0.4 dated 2026-07-09

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More information about BMIselect at CRAN
Permanent link

New package uygeo with initial version 0.1.0
Package: uygeo
Title: Geospatial Data for Uruguay
Version: 0.1.0
Description: Provides geospatial data for Uruguay, including country boundaries and administrative divisions (departments). Data are provided as 'sf' objects ready for use with the 'sf' and 'ggplot2' packages.
Language: en
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.1.0)
Suggests: sf, ggplot2, dplyr, testthat (>= 3.0.0)
URL: https://github.com/ManuelSpinola/uygeo
BugReports: https://github.com/ManuelSpinola/uygeo/issues
NeedsCompilation: no
Packaged: 2026-07-02 11:19:21 UTC; manuel_nuevo
Author: Manuel Spinola [aut, cre]
Maintainer: Manuel Spinola <mspinola10@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-09 09:10:03 UTC

More information about uygeo at CRAN
Permanent link

Package SATS readmission to version 1.0.10 with previous version 1.0.6 dated 2025-08-18

Title: Signature Analyzer for Targeted Sequencing
Description: SATS stands for Signature Analyzer for Targeted Sequencing and performs mutational signature analysis for targeted sequenced tumors. Unlike the canonical analysis of mutational signatures, SATS factorizes the mutation counts matrix into a panel context matrix (measuring the size of the targeted sequenced genome for each tumor in the unit of million base pairs (Mb)), a signature profile matrix, and a signature activity matrix. SATS also calculates the expected number of mutations attributed by a signature, namely signature burden, for each targeted sequenced tumor. For more details see Lee et al. (2024) <doi:10.1101/2023.05.18.23290188>.
Author: DongHyuk Lee [aut], Bin Zhu [aut], Bill Wheeler [cre]
Maintainer: Bill Wheeler <wheelerb@imsweb.com>

This is a re-admission after prior archival of version 1.0.6 dated 2025-08-18

Diff between SATS versions 1.0.6 dated 2025-08-18 and 1.0.10 dated 2026-07-09

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More information about SATS at CRAN
Permanent link

New package probcal with initial version 0.2.0
Package: probcal
Title: Calibration of Binary and Multiclass Probabilities
Version: 0.2.0
Description: Provides S3 calibrators, metrics, and diagnostics for binary and multiclass probability calibration. Binary methods include Platt scaling, temperature scaling, beta calibration, histogram binning, and isotonic regression. Multiclass methods include temperature scaling, vector scaling, Dirichlet calibration, and a one-vs-rest wrapper for the binary calibrators. A calibration-inference layer adds debiased calibration errors, bootstrap confidence intervals, and a kernel calibration hypothesis test for binary and multiclass predictions, including the strong (canonical) multiclass case. Methods follow Platt (1999, ISBN:9780262194488), Zadrozny and Elkan (2002) <doi:10.1145/775047.775151>, Guo et al. (2017) <https://proceedings.mlr.press/v70/guo17a.html>, Kull et al. (2017) <doi:10.1214/17-EJS1338SI>, Kull et al. (2019) <doi:10.48550/arXiv.1910.12656>, Widmann et al. (2019) <doi:10.48550/arXiv.1910.11385>, and Kumar et al. (2019) <doi:10.48550/arXiv.1909.1015 [...truncated...]
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
Language: en-US
Imports: cli, ggplot2, stats, withr
Suggests: betacal, dplyr, knitr, pkgdown, reticulate, rmarkdown, roxygen2, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://prdm0.github.io/probcal/, https://github.com/prdm0/probcal/
BugReports: https://github.com/prdm0/probcal/issues/
NeedsCompilation: no
Packaged: 2026-07-02 14:42:21 UTC; prdm0
Author: Pedro Rafael Diniz Marinho [aut, cre, cph]
Maintainer: Pedro Rafael Diniz Marinho <pedro.rafael.marinho@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-09 09:20:02 UTC

More information about probcal at CRAN
Permanent link

Package landscapetools readmission to version 0.6.3 with previous version 0.5.0 dated 2019-02-25

Title: Landscape Utility Toolbox
Description: Provides utility functions for some of the less-glamorous tasks involved in landscape analysis. It includes functions to coerce raster data to the common 'tibble' format and vice versa, it helps with flexible reclassification tasks of raster data and it provides a function to merge multiple raster. Furthermore, 'landscapetools' helps landscape scientists to visualize their data by providing optional themes and utility functions to plot single landscapes, 'rasterstacks', '-bricks' and lists of raster.
Author: Marco Sciaini [aut] , Matthias Fritsch [aut], Maximilian H.K. Hesselbarth [aut] , Jakub Nowosad [aut] , Anatoly Tsyplenkov [aut, cre] , Laura Graham [rev] , Jeffrey Hollister [rev]
Maintainer: Anatoly Tsyplenkov <s2@sent.com>

This is a re-admission after prior archival of version 0.5.0 dated 2019-02-25

Diff between landscapetools versions 0.5.0 dated 2019-02-25 and 0.6.3 dated 2026-07-09

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More information about landscapetools at CRAN
Permanent link

New package ipf with initial version 0.0.1
Package: ipf
Title: Iterative Proportional Fitting
Version: 0.0.1
Description: Fast raking for survey weighting. The computational core is written in Rust for speed. Supports multiple raking variables, automatic variable selection, weight bounding, and comprehensive diagnostics.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.65
Depends: R (>= 4.2)
Imports: cli, generics, tibble
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
URL: https://christophertkenny.com/ipf/
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2026-06-30 19:27:11 UTC; chris
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>
Repository: CRAN
Date/Publication: 2026-07-09 09:40:02 UTC

More information about ipf at CRAN
Permanent link

New package datasetviewer with initial version 0.1.1
Package: datasetviewer
Title: 'SAS Studio'-Style Interactive Dataset Viewer
Version: 0.1.1
Description: An interactive dataset viewer that renders a fast, scrollable grid with a column-selection panel, per-column property metadata, and a names-versus-labels header toggle, modelled on the 'SAS Studio' table viewer. Runs from one codebase in interactive 'Shiny' apps and in static HTML documents, with a free-text row filter, header sort, and CSV export, and handles large datasets without row sampling by querying them in the browser with 'DuckDB-WASM'.
License: MIT + file LICENSE
URL: https://github.com/vthanik/datasetviewer, https://vthanik.github.io/datasetviewer/
BugReports: https://github.com/vthanik/datasetviewer/issues
Encoding: UTF-8
Imports: cli, htmltools, htmlwidgets, jsonlite, nanoparquet, rlang
Suggests: artoo, dplyr, hms, knitr, quarto, shiny, testthat (>= 3.0.0), tibble, withr
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2026-06-30 16:40:51 UTC; vignesh
Author: Vignesh Thanikachalam [aut, cre, cph]
Maintainer: Vignesh Thanikachalam <about.vignesh@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-09 09:50:02 UTC

More information about datasetviewer at CRAN
Permanent link

New package cdmetapopR with initial version 1.0.0
Package: cdmetapopR
Title: Utility Functions for 'CDMetaPOP'
Version: 1.0.0
Description: Provides a set of helper functions to launch, analyze, and visualize the output files of 'CDMetaPOP' <https://computationalecologylab.github.io/cdmetapop_web/>.
Imports: ggplot2, tidyr, tidyselect, dplyr, adegenet, gdistance, graph4lg, poppr, shiny, shinyBS, terra
License: GPL (>= 2)
Encoding: UTF-8
Suggests: knitr, pkgload, rmarkdown, tidyverse, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-02 08:54:19 UTC; domi
Author: Dominique Alo [aut, cre] , Casey Day [aut], Allison Williams [aut]
Maintainer: Dominique Alo <dominiquealo@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-09 09:10:14 UTC

More information about cdmetapopR at CRAN
Permanent link

Package zmctp updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-03

Title: Zero-Modified Complex 'Tri-Parametric' Pearson Distribution for Overdispersed Count Data
Description: Implements zero-modified versions of the Complex 'Tri-Parametric' Pearson distribution for overdispersed count data. The package addresses limitations of existing implementations when the parameter b approaches zero. It provides distribution functions, maximum likelihood estimation, and diagnostic tools for modeling count data with excess zeros. The methodology is based on 'Rodriguez-Avi' and coauthors (2003) <doi:10.1007/s00362-002-0134-7>.
Author: Rasheedat Oladoja [aut, cre]
Maintainer: Rasheedat Oladoja <roladoja@ttu.edu>

Diff between zmctp versions 0.1.0 dated 2026-04-03 and 0.1.1 dated 2026-07-09

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More information about zmctp at CRAN
Permanent link

Package valr updated to version 0.10.0 with previous version 0.9.1 dated 2026-01-11

Title: Genome Interval Arithmetic
Description: Read and manipulate genome intervals and signals. Provides functionality similar to command-line tool suites within R, enabling interactive analysis and visualization of genome-scale data. Riemondy et al. (2017) <doi:10.12688/f1000research.11997.1>.
Author: Jay Hesselberth [aut, cre] , Kent Riemondy [aut] , RNA Bioscience Initiative [fnd, cph]
Maintainer: Jay Hesselberth <jay.hesselberth@gmail.com>

Diff between valr versions 0.9.1 dated 2026-01-11 and 0.10.0 dated 2026-07-09

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More information about valr at CRAN
Permanent link

Package taxify updated to version 0.3.4 with previous version 0.2.12 dated 2026-06-30

Title: Offline Taxonomic Name Matching Against Local Darwin Core Snapshots
Description: Match taxonomic names against locally stored Darwin Core backbone databases ('WFO', 'COL', 'GBIF', 'ITIS', 'NCBI Taxonomy', 'Open Tree of Life', 'WoRMS', 'Euro+Med', 'Species Fungorum', 'AlgaeBase', 'FishBase', 'SeaLifeBase', 'Reptile Database'). Provides offline fuzzy and exact matching with synonym resolution, hybrid name detection, and a unified output schema across all sources. All heavy computation runs in the 'vectra' C11 columnar engine.
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

Diff between taxify versions 0.2.12 dated 2026-06-30 and 0.3.4 dated 2026-07-09

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Package PSsurvival updated to version 0.2.1 with previous version 0.2.0 dated 2026-01-10

Title: Propensity Score Methods for Survival Analysis
Description: Implements propensity score weighting methods for estimating counterfactual survival functions, marginal hazard ratios, and weighted Kaplan-Meier and cumulative risk curves in observational studies with time-to-event outcomes. Supports binary and multiple treatment groups with inverse probability of treatment weighting (IPW), overlap weighting (OW), and average treatment effect on the treated (ATT). Includes symmetric trimming (Crump extension) for extreme propensity scores. Variance estimation via analytical M-estimation or bootstrap. Methods based on Li et al. (2018) <doi:10.1080/01621459.2016.1260466>, Li & Li (2019) <doi:10.1214/19-AOAS1282>, and Cheng et al. (2022) <doi:10.1093/aje/kwac043>.
Author: Chengxin Yang [aut, cre], Chao Cheng [aut], Fan Li [aut], Fan Li [aut]
Maintainer: Chengxin Yang <chengxin.yang@duke.edu>

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Package einsum updated to version 0.2.0 with previous version 0.1.2 dated 2023-08-28

Title: Einstein Summation
Description: The summation notation suggested by Einstein (1916) <doi:10.1002/andp.19163540702> is a concise mathematical notation that implicitly sums over repeated indices of n-dimensional arrays. Many ordinary matrix operations (e.g. transpose, matrix multiplication, scalar product, 'diag()', trace etc.) can be written using Einstein notation. The notation is particularly convenient for expressing operations on arrays with more than two dimensions because the respective operators ('tensor products') might not have a standardized name.
Author: Constantin Ahlmann-Eltze [aut, cre] , Koki Tsuyuzaki [aut]
Maintainer: Constantin Ahlmann-Eltze <artjom31415@googlemail.com>

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New package data.sketches with initial version 0.1.0
Package: data.sketches
Title: Probabilistic Streaming Data Sketches
Version: 0.1.0
Description: Provides an interface to the 'Apache DataSketches' (<https://datasketches.apache.org/>) library of streaming algorithms for approximate analytics on data too large to hold or process exactly. Sketches are compact, mergeable summaries built in a single pass over a stream that answer queries such as approximate distinct counts, quantiles and ranks, frequent items and point-frequency estimates, weighted sampling, and set membership with mathematically proven error bounds. Implements Karnin-Lang-Liberty (KLL), Relative Error Quantiles (REQ), t-Digest, HyperLogLog (HLL), Compressed Probabilistic Counting (CPC), Theta, Frequent Items, Count-Min, Array of Doubles, Variance Optimal (VarOpt), Exact and Bounded Probabilistic Proportional-to-Size (EBPPS), and Bloom filter sketches, with native serialization for interoperability with other 'Apache DataSketches' implementations.
License: MIT + file LICENSE
Copyright: file inst/COPYRIGHTS
URL: https://github.com/pedrobtz/data.sketches, https://pedrobtz.github.io/data.sketches/
BugReports: https://github.com/pedrobtz/data.sketches/issues
Depends: R (>= 4.1.0)
Imports: R6, rlang
Suggests: testthat (>= 3.0.0)
LinkingTo: cpp11
Encoding: UTF-8
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2026-06-23 11:07:34 UTC; pbtz
Author: Pedro Baltazar [aut, cre, cph], The Apache Software Foundation [ctb] , Stephan Brumme [ctb] , Austin Appleby [ctb] , Sean Eron Anderson [ctb]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-09 09:00:02 UTC

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Permanent link

Package bcdata updated to version 0.5.3 with previous version 0.5.2 dated 2026-02-07

Title: Search and Retrieve Data from the BC Data Catalogue
Description: Search, query, and download tabular and 'geospatial' data from the British Columbia Data Catalogue (<https://catalogue.data.gov.bc.ca/>). Search catalogue data records based on keywords, data licence, sector, data format, and B.C. government organization. View metadata directly in R, download many data formats, and query 'geospatial' data available via the B.C. government Web Feature Service ('WFS') using 'dplyr' syntax.
Author: Andy Teucher [aut, cre] , Sam Albers [aut, ctb] , Stephanie Hazlitt [aut, ctb] , Province of British Columbia [cph]
Maintainer: Andy Teucher <andy.teucher@gmail.com>

Diff between bcdata versions 0.5.2 dated 2026-02-07 and 0.5.3 dated 2026-07-09

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More information about bcdata at CRAN
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New package WSPsignal with initial version 1.0.0
Package: WSPsignal
Title: Weibull Shape Parameter Tests for Signal Detection
Version: 1.0.0
Description: Implementation of Bayesian and frequentist Weibull Shape Parameter (WSP) tests for signal detection in pharmacovigilance based on right-censored time-to-event data to flag associations between drugs and adverse events. The WSP test is based on the assumption of constant hazard reflected by a Weibull type distribution with shape parameters equal to one. Based on the shape parameter estimates (posterior distribution or point estimate), the WSP test method performs a hypothesis test on each shape parameter and combines them to a decision on the presence of a signal. Methods described in Sauzet and Cornelius (2022) <doi:10.3389/fphar.2022.889088>, Sauzet et al. (2024) <doi:10.1007/s40264-024-01460-2>, and Dyck and Sauzet (2025) <doi:10.48550/arXiv.2412.05463>.
License: MIT + file LICENSE
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.5.0)
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.4.0), Rdpack, HDInterval, ROCR, stats, graphics, magrittr, dplyr, tidyr, ggplot2, survival, furrr
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
LazyData: true
NeedsCompilation: yes
Packaged: 2026-07-02 08:17:21 UTC; jdyck
Author: Julia Dyck [cre], Julia Dyck [aut], Odile Sauzet [aut]
Maintainer: Julia Dyck <j.dyck@uni-bielefeld.de>
Repository: CRAN
Date/Publication: 2026-07-09 07:30:08 UTC

More information about WSPsignal at CRAN
Permanent link

New package varequal with initial version 0.0.1
Package: varequal
Title: Tests and Measures for Homoscedasticity
Version: 0.0.1
Description: Provides statistical methods for assessing homoscedasticity (equality of variances) across groups. The package implements classical and robust tests for variance homogeneity, together with supporting measures and utilities for exploratory analysis and hypothesis testing. These tools can be used as diagnostic procedures prior to analyses that assume equal variances.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-02 08:59:48 UTC; ABRC
Author: Joon-Keat Lai [aut, cre, cph]
Maintainer: Joon-Keat Lai <p10911004@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-09 07:40:02 UTC

More information about varequal at CRAN
Permanent link

Package lctools readmission to version 0.3 with previous version 0.2-10 dated 2024-04-01

Title: Local and Geographically Weighted Spatial Statistics Tools
Description: Provides researchers and educators with easy-to-learn, user friendly tools for calculating key spatial statistics and for applying simple as well as advanced methods of spatial analysis on real data. These include: Local Pearson and Geographically Weighted Pearson Correlation Coefficients; Spatial Inequality Measures (Gini coefficient, Spatial Gini, Location Quotient (LQ) and Focal Location Quotient); Spatial Autocorrelation indices (Global and Local Moran's I); several Geographically Weighted Regression techniques, including the Geographically Weighted Zero-Inflated Poisson Regression; tools for computing variables used in Spatial Interaction Models; and other spatial analysis tools (other geographically weighted statistics). The local correlation tools were originally developed to test for local multicollinearity among the explanatory variables of local regression models and can also be used to examine the local association between pairs of variables. The package also contains functi [...truncated...]
Author: Stamatis Kalogirou [aut, cre]
Maintainer: Stamatis Kalogirou <stamatis.science@gmail.com>

This is a re-admission after prior archival of version 0.2-10 dated 2024-04-01

Diff between lctools versions 0.2-10 dated 2024-04-01 and 0.3 dated 2026-07-09

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New package KlerRSS with initial version 0.2.4
Package: KlerRSS
Title: Intelligent Ranked Set Sampling with 'Excel' Integration and SRS Comparison
Version: 0.2.4
Description: Provides tools for Ranked Set Sampling (RSS) analysis, data import, statistical estimation, and comparison with Simple Random Sampling (SRS). The package offers a complete workflow from 'Excel' and CSV data import and cleaning to RSS implementation, efficiency evaluation, visualization, and automated reporting. Intelligent ranking procedures based on correlation analysis, regression models, and machine learning methods are included to address imperfect ranking commonly encountered in practical RSS applications. Monte Carlo simulation tools are provided for evaluating estimator performance under different sampling scenarios. Ranked Set Sampling was originally introduced by McIntyre (1952) <doi:10.2307/3001960> as an efficient alternative to simple random sampling when ranking information is available at low cost. The package supports researchers, statisticians, and practitioners working in agricultural, environmental, biological, and other applied sciences.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: ggplot2, readxl, rlang, stats, utils
NeedsCompilation: no
Packaged: 2026-07-02 08:29:19 UTC; Dr. Imtiyaz
Author: Khalid Ul Islam Rather [aut, cre]
Maintainer: Khalid Ul Islam Rather <drkhalidulislam@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-09 07:40:07 UTC

More information about KlerRSS at CRAN
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Package gllvm updated to version 2.0.13 with previous version 2.0.11 dated 2026-06-22

Title: Generalized Linear Latent Variable Models
Description: Analysis of multivariate data using generalized linear latent variable models (gllvm). Estimation is performed using either the Laplace method, variational approximations, or extended variational approximations, implemented via TMB (Kristensen et al. (2016), <doi:10.18637/jss.v070.i05>).
Author: Jenni Niku [aut, cre], Wesley Brooks [aut], Riki Herliansyah [aut], Francis K.C. Hui [aut], Pekka Korhonen [aut], Sara Taskinen [aut], Bert van der Veen [aut], David I. Warton [aut]
Maintainer: Jenni Niku <jenni.m.e.niku@jyu.fi>

Diff between gllvm versions 2.0.11 dated 2026-06-22 and 2.0.13 dated 2026-07-09

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Package ECOTOXr updated to version 1.2.5 with previous version 1.2.4 dated 2025-09-24

Title: Download and Extract Data from US EPA's ECOTOX Database
Description: The US EPA ECOTOX database is a freely available database with a treasure of aquatic and terrestrial ecotoxicological data. As the online search interface doesn't come with an API, this package provides the means to easily access and search the database in R. To this end, all raw tables are downloaded from the EPA website and stored in a local SQLite database <doi:10.1016/j.chemosphere.2024.143078>.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

Diff between ECOTOXr versions 1.2.4 dated 2025-09-24 and 1.2.5 dated 2026-07-09

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Permanent link

Wed, 08 Jul 2026

Package RSTr updated to version 1.2.0 with previous version 1.1.4 dated 2026-01-31

Title: Gibbs Samplers for Discrete Bayesian Spatiotemporal Models
Description: Takes Poisson or Binomial discrete spatial data and runs a Gibbs sampler for a variety of Spatiotemporal Conditional Autoregressive (CAR) models. Includes measures to prevent estimate over-smoothing through a restriction of model informativeness for select models. Also provides tools to load output and get median estimates. Implements methods from Besag, York, and MolliƩ (1991) "Bayesian image restoration, with two applications in spatial statistics" <doi:10.1007/BF00116466>, Gelfand and Vounatsou (2003) "Proper multivariate conditional autoregressive models for spatial data analysis" <doi:10.1093/biostatistics/4.1.11>, Quick et al. (2017) "Multivariate spatiotemporal modeling of age-specific stroke mortality" <doi:10.1214/17-AOAS1068>, and Quick et al. (2021) "Evaluating the informativeness of the Besag-York-MolliƩ CAR model" <doi:10.1016/j.sste.2021.100420>.
Author: David DeLara [aut, cre] , Centers for Disease Control and Prevention [aut, cph]
Maintainer: David DeLara <sfq1@cdc.gov>

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Package automerge updated to version 0.5.0 with previous version 0.4.0 dated 2026-02-26

Title: R Bindings for 'Automerge' 'CRDT' Library
Description: Provides R bindings to the 'Automerge' Conflict-free Replicated Data Type ('CRDT') library. 'Automerge' enables automatic merging of concurrent changes without conflicts, making it ideal for distributed systems, collaborative applications, and offline-first architectures. The approach of local-first software was proposed in Kleppmann, M., Wiggins, A., van Hardenberg, P., McGranaghan, M. (2019) <doi:10.1145/3359591.3359737>. This package supports all 'Automerge' data types (maps, lists, text, counters) and provides both low-level and high-level synchronization protocols for seamless interoperability with 'JavaScript' and other 'Automerge' implementations.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Authors of the dependency Rust crates [cph]
Maintainer: Charlie Gao <charlie.gao@posit.co>

Diff between automerge versions 0.4.0 dated 2026-02-26 and 0.5.0 dated 2026-07-08

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Package wid updated to version 0.0.2 with previous version 0.0.1 dated 2026-02-20

Title: Download Data from the World Inequality Database
Description: Download data from the online World Inequality Database directly into R. Data are retrieved from WID.world's online data service. The World Inequality Database is an extensive source on the historical evolution of the distribution of income and wealth both within and between countries. It relies on the combined effort of an international network of over a hundred researchers covering more than seventy countries from all continents.
Author: Thomas Blanchet [aut], Ignacio Flores [cre]
Maintainer: Ignacio Flores <stats@wid.world>

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Package rphylopic updated to version 1.7.0 with previous version 1.6.0 dated 2025-11-18

Title: Get Silhouettes of Organisms from PhyloPic
Description: Work with the PhyloPic Web Service (<http://api-docs.phylopic.org/v2/>) to fetch silhouette images of organisms. Includes functions for adding silhouettes to both base R plots and ggplot2 plots.
Author: William Gearty [aut, cre] , Lewis A. Jones [aut] , Scott Chamberlain [ctb] , Martin R. Smith [ctb] , David L. Miller [ctb]
Maintainer: William Gearty <willgearty@gmail.com>

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Package ragtop updated to version 2.0.0 with previous version 1.3.1 dated 2026-06-20

Title: Pricing Equity Derivatives with Extensions of Black-Scholes
Description: Algorithms to price American and European equity options, convertible bonds and a variety of other financial derivatives. It uses an extension of the usual Black-Scholes model in which jump to default may occur at a probability specified by a power-law link between stock price and hazard rate as found in the paper by Takahashi, Kobayashi, and Nakagawa (2001) <doi:10.3905/jfi.2001.319302>. We use ideas and techniques from Andersen and Buffum (2002) <doi:10.2139/ssrn.355308> and Linetsky (2006) <doi:10.1111/j.1467-9965.2006.00271.x>.
Author: Brian K. Boonstra [aut, cre]
Maintainer: Brian K. Boonstra <ragtop@boonstra.org>

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Package pepr updated to version 0.6.1 with previous version 0.6.0 dated 2026-02-28

Title: Reading Portable Encapsulated Projects
Description: A PEP, or Portable Encapsulated Project, is a dataset that subscribes to the PEP structure for organizing metadata. It is written using a simple YAML + CSV format, it is your one-stop solution to metadata management across data analysis environments. This package reads this standardized project configuration structure into R. Described in Sheffield et al. (2021) <doi:10.1093/gigascience/giab077>.
Author: Nathan Sheffield [aut, cph, cre], Michal Stolarczyk [aut]
Maintainer: Nathan Sheffield <nathan@code.databio.org>

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Package modelimpact updated to version 1.1.0 with previous version 1.0.0 dated 2021-05-06

Title: Functions to Assess the Business Impact of Churn Prediction Models
Description: Calculate and visualise the financial impact of using a classification model, such as a churn model, to target customers. Provides cost, revenue, profit and return-on-investment curves as a function of the share of customers targeted, cumulative gains and lift, marginal profit per bin, and confusion-matrix based payoff across probability thresholds. Also includes 'ggplot2' 'autoplot()' methods and an interactive 'shiny' application for exploring the results.
Author: Peer Christensen [aut, cre]
Maintainer: Peer Christensen <hr.pchristensen@gmail.com>

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Package mellio updated to version 1.0.2 with previous version 1.0.1 dated 2026-07-06

Title: Polished, Editable Tables and Statistical Results
Description: Sends supported 'R' objects to the 'Mellio' web app and creates polished, editable statistical tables in 'R'. The 'mellio_open' interface handles common hypothesis tests, model objects, model comparisons, descriptive summaries, tabular data, plots, and image files. The 'melliotab' interface formats data frames, model summaries, correlation matrices, and side-by-side comparison tables with APA-style numeric formatting, confidence intervals, table notes, and optional significance markers. Manual table helpers can copy or save 'melliotab' output as 'HTML', 'LaTeX', or 'Markdown' when file-based handoff is needed. Payloads include package-version metadata to support reproducible reporting and software citation.
Author: Melih Sahin [aut, cre]
Maintainer: Melih Sahin <nicomelpro@pm.me>

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Package glyph updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-06

Title: A Next-Generation Grammar of Interactive Graphics
Description: A modern visualization grammar that treats interactivity, animation, and composable layouts as first-class concepts rather than afterthoughts. Designed to address key limitations of existing grammars: native hover, click, and zoom events, 'WebGL'-accelerated rendering for large datasets, built-in multi-plot composition, and a token-based theming system. Renders to interactive HTML widgets via 'D3.js' or static SVG from a single declarative specification.
Author: Joash Joshua Ayo [aut, cre]
Maintainer: Joash Joshua Ayo <joashjoshua789@gmail.com>

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Package genepop updated to version 1.2.17 with previous version 1.2.14 dated 2026-01-23

Title: Population Genetic Data Analysis Using Genepop
Description: Makes the Genepop software available in R. This software implements a mixture of traditional population genetic methods and some more focused developments: it computes exact tests for Hardy-Weinberg equilibrium, for population differentiation and for genotypic disequilibrium among pairs of loci; it computes estimates of F-statistics, null allele frequencies, allele size-based statistics for microsatellites, etc.; and it performs analyses of isolation by distance from pairwise comparisons of individuals or population samples.
Author: Francois Rousset [aut, cre, cph] , Jimmy Lopez [ctb], Alexandre Genin [ctb], Khalid Belkhir [ctb]
Maintainer: Francois Rousset <francois.rousset@umontpellier.fr>

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Package eurlex readmission to version 0.5.0 with previous version 0.4.9 dated 2026-02-06

Title: Retrieve Data on European Union Law
Description: Access to data on European Union laws and court decisions made easy with pre-defined 'SPARQL' queries and 'GET' requests. See Ovadek (2021) <doi:10.1080/2474736X.2020.1870150> .
Author: Michal Ovadek [aut, cre, cph]
Maintainer: Michal Ovadek <michal.ovadek@gmail.com>

This is a re-admission after prior archival of version 0.4.9 dated 2026-02-06

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Package SLRMss updated to version 1.1.0 with previous version 1.0.0 dated 2025-07-09

Title: Symmetric Linear Regression Models for Small Samples
Description: Ordinary and modified statistics for symmetrical linear regression models with small samples. The supported ordinary statistics include Wald, score, likelihood ratio and gradient. The modified statistics include score, likelihood ratio and gradient. Diagnostic tools associated with the fitted model are implemented. For more details see Medeiros and Ferrari (2017) <DOI:10.1111/stan.12107>.
Author: Ivonaldo S. da Silva-Junior [aut, cre], Francisco Moises C. de Medeiros [aut] , Eliardo Costa [aut]
Maintainer: Ivonaldo S. da Silva-Junior <ivosilvestresjr@gmail.com>

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Package iglm updated to version 1.2.5 with previous version 1.2.4 dated 2026-04-23

Title: Regression under Interference in Connected Populations
Description: An implementation of generalized linear models (GLMs) for studying relationships among attributes in connected populations, where responses of connected units can be dependent, as introduced by Fritz et al. (2025) <doi:10.1080/01621459.2025.2565851>. 'igml' extends GLMs for independent responses to dependent responses and can be used for studying spillover in connected populations and other network-mediated phenomena.
Author: Cornelius Fritz [aut, cre], Michael Schweinberger [aut]
Maintainer: Cornelius Fritz <corneliusfritz2010@gmail.com>

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Package mascarade updated to version 0.3.5 with previous version 0.3.4 dated 2026-04-14

Title: Generating Cluster Masks for Single-Cell Dimensional Reduction Plots
Description: Implements a procedure to automatically generate 2D masks for clusters on dimensional reduction plots from methods like t-SNE (t-distributed stochastic neighbor embedding) or UMAP (uniform manifold approximation and projection), with a focus on single-cell RNA-sequencing data.
Author: Alexey Sergushichev [aut, cre]
Maintainer: Alexey Sergushichev <alsergbox@gmail.com>

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Package CurricularComplexity updated to version 1.0.3 with previous version 1.0.2 dated 2026-06-16

Title: Toolkit for Analyzing Curricular Complexity
Description: Enables educational researchers and practitioners to calculate the curricular complexity of a plan of study, visualize its prerequisite structure at scale, and conduct customizable analyses. The original tool can be found at <https://curricularanalytics.org>. Additional functions to explore curriculum complexity from the literature are also included.
Author: David Reeping [aut, cre]
Maintainer: David Reeping <reepindp@ucmail.uc.edu>

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Package ibger updated to version 0.2.0 with previous version 0.1.0 dated 2026-02-20

Title: Access the 'IBGE' Aggregate Data API from 'R'
Description: 'Tidyverse'-friendly interface to the Brazilian Institute of Geography and Statistics ('IBGE') aggregate data 'API' <https://servicodados.ibge.gov.br/api/docs/agregados?versao=3>. Query aggregates, variables, localities, periods, and metadata from surveys and censuses conducted by 'IBGE'.
Author: Andre Leite [aut, cre], Marcos Wasiliew [aut], Hugo Vasconcelos [aut], Carlos Amorim [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Package gbm updated to version 2.3.0 with previous version 2.2.3 dated 2026-01-22

Title: Generalized Boosted Regression Models
Description: An implementation of extensions to Freund and Schapire's AdaBoost algorithm and Friedman's gradient boosting machine. Includes regression methods for least squares, absolute loss, t-distribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential loss, Huberized hinge loss, and Learning to Rank measures (LambdaMart). Originally developed by Greg Ridgeway. Newer version available at <https://github.com/gbm-developers/gbm3>.
Author: Greg Ridgeway [aut, cre] , Daniel Edwards [ctb], Brian Kriegler [ctb], Stefan Schroedl [ctb], Harry Southworth [ctb], Brandon Greenwell [ctb] , Bradley Boehmke [ctb] , Jay Cunningham [ctb], GBM Developers [aut]
Maintainer: Greg Ridgeway <gridge@upenn.edu>

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Package dtsmartr updated to version 0.3.0 with previous version 0.2.0 dated 2026-06-30

Title: Interactive Virtualized Data Explorer Grid Widget
Description: Provides an interactive, virtualized data explorer widget for 'R'. Built on 'React' (via 'reactR') and 'htmlwidgets', it offers column-type detection, multi-value checkbox filtering, sorting, column visibility toggling, virtual scrolling for large datasets, and a full-viewport modal. Includes 'dtsmartr_launch()' with an interactive, zero-code file upload wizard using 'datamods'. Widgets can be embedded in 'R Markdown' / 'Quarto' documents, 'Shiny' applications, or exported as standalone HTML files via 'save_dtsmartr()'.
Author: Nikhil Wagh [aut, cre]
Maintainer: Nikhil Wagh <nmw1986@gmail.com>

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Package DICErClust updated to version 0.1.3 with previous version 0.1.2 dated 2026-05-28

Title: Deep Significance Clustering for Clinical Risk Stratification
Description: We provide an R implementation of Deep Significance Clustering (DICE), a self-supervised learning framework designed to identify clinically meaningful and risk-stratified patient subgroups from electronic health record (EHR) data. DICE jointly optimizes deep representation learning, clustering, and outcome prediction while enforcing statistical significance between predicted outcomes and cluster membership. This integrated optimization produces subgroups that are both clinically coherent and predictive, addressing a gap where traditional unsupervised clustering methods and supervised risk prediction models alone may fail to generate actionable clinical groupings. See Huang et al. (2021) <doi:10.1093/jamia/ocab203>.
Author: Sarah Ayton [aut, cre] , Yiye Zhang [aut]
Maintainer: Sarah Ayton <sarah.ayton@columbia.edu>

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