Tue, 16 Sep 2025

Package BiVariAn updated to version 1.0.2 with previous version 1.0.1 dated 2025-03-05

Title: Bivariate Automatic Analysis
Description: Simplify bivariate and regression analyses by automating result generation, including summary tables, statistical tests, and customizable graphs. It supports tests for continuous and dichotomous data, as well as stepwise regression for linear, logistic, and Firth penalized logistic models. While not a substitute for tailored analysis, 'BiVariAn' accelerates workflows and is expanding features like multilingual interpretations of results.The methods for selecting significant statistical tests, as well as the predictor selection in prediction functions, can be referenced in the works of Marc Kery (2003) <doi:10.1890/0012-9623(2003)84[92:NORDIG]2.0.CO;2> and Rainer Puhr (2017) <doi:10.1002/sim.7273>.
Author: Jose Andres Flores-Garcia [cre, aut, cph] , Antonio Augusto Gordillo-Moscoso [aut] , Jhoselin Marian Castro-Rodriguez [aut]
Maintainer: Jose Andres Flores-Garcia <andres.flores@uaslp.mx>

Diff between BiVariAn versions 1.0.1 dated 2025-03-05 and 1.0.2 dated 2025-09-16

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More information about BiVariAn at CRAN
Permanent link

Package csmGmm updated to version 0.4.0 with previous version 0.3.0 dated 2024-12-03

Title: Conditionally Symmetric Multidimensional Gaussian Mixture Model
Description: Implements the conditionally symmetric multidimensional Gaussian mixture model (csmGmm) for large-scale testing of composite null hypotheses in genetic association applications such as mediation analysis, pleiotropy analysis, and replication analysis. In such analyses, we typically have J sets of K test statistics where K is a small number (e.g. 2 or 3) and J is large (e.g. 1 million). For each one of the J sets, we want to know if we can reject all K individual nulls. Please see the vignette for a quickstart guide. The paper describing these methods is "Testing a Large Number of Composite Null Hypotheses Using Conditionally Symmetric Multidimensional Gaussian Mixtures in Genome-Wide Studies" by Sun R, McCaw Z, & Lin X (Journal of the American Statistical Association 2025, <doi:10.1080/01621459.2024.2422124>).
Author: Ryan Sun [aut, cre]
Maintainer: Ryan Sun <ryansun.work@gmail.com>

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More information about csmGmm at CRAN
Permanent link

Package stbl updated to version 0.2.0 with previous version 0.1.1 dated 2024-05-23

Title: Stabilize Function Arguments
Description: A set of consistent, opinionated functions to quickly check function arguments, coerce them to the desired configuration, or deliver informative error messages when that is not possible.
Author: Jon Harmon [aut, cre, cph]
Maintainer: Jon Harmon <jonthegeek@gmail.com>

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Package smoothic updated to version 1.2.1 with previous version 1.2.0 dated 2023-08-22

Title: Variable Selection Using a Smooth Information Criterion
Description: Implementation of the SIC epsilon-telescope method, either using single or distributional (multiparameter) regression. Includes classical regression with normally distributed errors and robust regression, where the errors are from the Laplace distribution. The "smooth generalized normal distribution" is used, where the estimation of an additional shape parameter allows the user to move smoothly between both types of regression. See O'Neill and Burke (2022) "Robust Distributional Regression with Automatic Variable Selection" for more details. <doi:10.48550/arXiv.2212.07317>. This package also contains the data analyses from O'Neill and Burke (2023). "Variable selection using a smooth information criterion for distributional regression models". <doi:10.1007/s11222-023-10204-8>.
Author: Meadhbh O'Neill [aut, cre], Kevin Burke [aut]
Maintainer: Meadhbh O'Neill <meadhbhon@gmail.com>

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Package washi updated to version 0.2.1 with previous version 0.2.0 dated 2023-09-07

Title: Washington Soil Health Initiative Branding
Description: Create plots and tables in a consistent style with WaSHI (Washington Soil Health Initiative) branding. Use 'washi' to easily style your 'ggplot2' plots and 'flextable' tables.
Author: Jadey Ryan [aut, cre], Molly McIlquham [aut], Dani Gelardi [aut], Washington State Department of Agriculture [cph, fnd]
Maintainer: Jadey Ryan <jryan@agr.wa.gov>

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Package basedosdados updated to version 0.2.3 with previous version 0.2.2 dated 2023-03-06

Title: 'Base Dos Dados' R Client
Description: An R interface to the 'Base dos Dados' API <https://basedosdados.org/docs/api_reference_python/>). Authenticate your project, query our tables, save data to disk and memory, all from R.
Author: Pedro Cavalcante [aut, cre], Daniel Herszenhut [aut] , Rodrigo Dornelles [aut]
Maintainer: Pedro Cavalcante <pedrocolrj@gmail.com>

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Package adbcsqlite updated to version 0.20.0 with previous version 0.19.0 dated 2025-07-13

Title: 'Arrow' Database Connectivity ('ADBC') 'SQLite' Driver
Description: Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'SQLite' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

Diff between adbcsqlite versions 0.19.0 dated 2025-07-13 and 0.20.0 dated 2025-09-16

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Package adbcpostgresql updated to version 0.20.0 with previous version 0.19.0 dated 2025-07-13

Title: 'Arrow' Database Connectivity ('ADBC') 'PostgreSQL' Driver
Description: Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'PostgreSQL' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

Diff between adbcpostgresql versions 0.19.0 dated 2025-07-13 and 0.20.0 dated 2025-09-16

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Package skpr updated to version 1.9.0 with previous version 1.8.2 dated 2025-04-25

Title: Design of Experiments Suite: Generate and Evaluate Optimal Designs
Description: Generates and evaluates D, I, A, Alias, E, T, and G optimal designs. Supports generation and evaluation of blocked and split/split-split/.../N-split plot designs. Includes parametric and Monte Carlo power evaluation functions, and supports calculating power for censored responses. Provides a framework to evaluate power using functions provided in other packages or written by the user. Includes a Shiny graphical user interface that displays the underlying code used to create and evaluate the design to improve ease-of-use and make analyses more reproducible. For details, see Morgan-Wall et al. (2021) <doi:10.18637/jss.v099.i01>.
Author: Tyler Morgan-Wall [aut, cre], George Khoury [aut]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

Diff between skpr versions 1.8.2 dated 2025-04-25 and 1.9.0 dated 2025-09-16

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Package labelled updated to version 2.15.0 with previous version 2.14.1 dated 2025-05-06

Title: Manipulating Labelled Data
Description: Work with labelled data imported from 'SPSS' or 'Stata' with 'haven' or 'foreign'. This package provides useful functions to deal with "haven_labelled" and "haven_labelled_spss" classes introduced by 'haven' package.
Author: Joseph Larmarange [aut, cre] , Daniel Ludecke [ctb], Hadley Wickham [ctb], Michal Bojanowski [ctb], Francois Briatte [ctb]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

Diff between labelled versions 2.14.1 dated 2025-05-06 and 2.15.0 dated 2025-09-16

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Package ssMRCD updated to version 2.0.1 with previous version 2.0.0 dated 2025-09-11

Title: Robust Estimators for Multi-Group and Spatial Data
Description: Estimation of robust estimators for multi-group and spatial data including the casewise robust Spatially Smoothed Minimum Regularized Determinant (ssMRCD) estimator and its usage for local outlier detection as described in Puchhammer and Filzmoser (2023) <doi:10.1080/10618600.2023.2277875> as well as for sparse robust PCA for multi-source data described in Puchhammer, Wilms and Filzmoser (2024) <doi:10.48550/arXiv.2407.16299>. Moreover, a cellwise robust multi-group Gaussian mixture model (MG-GMM) is implemented as described in Puchhammer, Wilms and Filzmoser (2024) <doi:10.48550/arXiv.2504.02547>. Included are also complementary visualization and parameter tuning tools.
Author: Patricia Puchhammer [aut, cre, cph], Peter Filzmoser [aut]
Maintainer: Patricia Puchhammer <patricia.puchhammer@tuwien.ac.at>

Diff between ssMRCD versions 2.0.0 dated 2025-09-11 and 2.0.1 dated 2025-09-16

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Package DUToolkit updated to version 1.0.1 with previous version 1.0.0 dated 2025-09-14

Title: Visualizing and Quantifying Decision Uncertainty
Description: A suite of tools to help modelers and decision-makers effectively interpret and communicate decision risk when evaluating multiple policy options. It uses model outputs from uncertainty analysis for baseline scenarios and policy alternatives to generate visual representations of uncertainty and quantitative measures for assessing associated risks. For more details see <https://dut.ihe.ca/>.
Author: Megan Wiggins [aut, cre] , Marie Betsy Varughese [aut] , Ellen Rafferty [aut] , Sasha van Katwyk [aut] , Christopher McCabe [aut] , Jeff Round [aut] , Erin Kirwin [aut] , Institute of Health Economics [cph, aut], Canadian Network for Modelling Infect [...truncated...]
Maintainer: Megan Wiggins <mwiggins@ihe.ca>

Diff between DUToolkit versions 1.0.0 dated 2025-09-14 and 1.0.1 dated 2025-09-16

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Package DSMolgenisArmadillo readmission to version 3.0.1 with previous version 3.0.0 dated 2025-07-24

Title: 'DataSHIELD' Client for 'MOLGENIS Armadillo'
Description: 'DataSHIELD' is an infrastructure and series of R packages that enables the remote and 'non-disclosive' analysis of sensitive research data. This package is the 'DataSHIELD' interface implementation to analyze data shared on a 'MOLGENIS Armadillo' server. 'MOLGENIS Armadillo' is a light-weight 'DataSHIELD' server using a file store and an 'RServe' server.
Author: Mariska Slofstra [aut, cre] , Sido Haakma [aut] , Tommy de Boer [aut] , Fleur Kelpin [aut] , MOLGENIS org [cph, fnd]
Maintainer: Mariska Slofstra <m.k.slofstra@umcg.nl>

This is a re-admission after prior archival of version 3.0.0 dated 2025-07-24

Diff between DSMolgenisArmadillo versions 3.0.0 dated 2025-07-24 and 3.0.1 dated 2025-09-16

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Package dacc readmission to version 0.0-7 with previous version 0.0-6 dated 2025-01-24

Title: Detection and Attribution Analysis of Climate Change
Description: Detection and attribution of climate change using methods including optimal fingerprinting via generalized total least squares or an estimating equation approach (Li et al., 2025, <doi:10.1175/JCLI-D-24-0193.1>; Ma et al., 2023, <doi:10.1175/JCLI-D-22-0681.1>). Provides shrinkage estimators for the covariance matrix following Ledoit and Wolf (2004, <doi:10.1016/S0047-259X(03)00096-4>) and Ledoit and Wolf (2017, <doi:10.2139/ssrn.2383361>).
Author: Yan Li [aut, cre], Kun Chen [aut], Jun Yan [aut]
Maintainer: Yan Li <yan.4.li@uconn.edu>

This is a re-admission after prior archival of version 0.0-6 dated 2025-01-24

Diff between dacc versions 0.0-6 dated 2025-01-24 and 0.0-7 dated 2025-09-16

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Package colocPropTest updated to version 0.9.3 with previous version 0.9.2 dated 2025-09-08

Title: Proportional Testing for Colocalisation Analysis
Description: Colocalisation analysis tests whether two traits share a causal genetic variant in a specified genomic region. Proportional testing for colocalisation has been previously proposed [Wallace (2013) <doi:10.1002/gepi.21765>], but is reimplemented here to overcome barriers to its adoption. Its use is complementary to the fine- mapping based colocalisation method in the 'coloc' package, and may be used in particular to identify false "H3" conclusions in 'coloc'.
Author: Chris Wallace [aut, cre]
Maintainer: Chris Wallace <cew54@cam.ac.uk>

Diff between colocPropTest versions 0.9.2 dated 2025-09-08 and 0.9.3 dated 2025-09-16

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Package CDMConnector updated to version 2.2.0 with previous version 2.1.1 dated 2025-07-10

Title: Connect to an OMOP Common Data Model
Description: Provides tools for working with observational health data in the Observational Medical Outcomes Partnership (OMOP) Common Data Model format with a pipe friendly syntax. Common data model database table references are stored in a single compound object along with metadata.
Author: Adam Black [aut, cre] , Artem Gorbachev [aut], Edward Burn [aut], Marti Catala Sabate [aut], Ioanna Nika [aut]
Maintainer: Adam Black <black@ohdsi.org>

Diff between CDMConnector versions 2.1.1 dated 2025-07-10 and 2.2.0 dated 2025-09-16

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Package brglm updated to version 0.7.3 with previous version 0.7.2 dated 2021-04-22

Title: Bias Reduction in Binomial-Response Generalized Linear Models
Description: Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
Author: Ioannis Kosmidis [aut, cre]
Maintainer: Ioannis Kosmidis <ioannis.kosmidis@warwick.ac.uk>

Diff between brglm versions 0.7.2 dated 2021-04-22 and 0.7.3 dated 2025-09-16

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Package cbsodataR updated to version 1.2.1 with previous version 1.1 dated 2024-09-25

Title: Statistics Netherlands (CBS) Open Data API Client
Description: The data and meta data from Statistics Netherlands (<https://www.cbs.nl>) can be browsed and downloaded. The client uses the open data API of Statistics Netherlands.
Author: Edwin de Jonge [aut, cre], Sara Houweling [ctb]
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>

Diff between cbsodataR versions 1.1 dated 2024-09-25 and 1.2.1 dated 2025-09-16

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More information about cbsodataR at CRAN
Permanent link

Package BKP updated to version 0.2.0 with previous version 0.1.1 dated 2025-08-19

Title: Beta Kernel Process Modeling
Description: Implements the Beta Kernel Process (BKP) for nonparametric modeling of spatially varying binomial probabilities, together with its extension, the Dirichlet Kernel Process (DKP), for categorical or multinomial data. The package provides functions for model fitting, predictive inference with uncertainty quantification, posterior simulation, and visualization in one-and two-dimensional input spaces. Multiple kernel functions (Gaussian, Matern 5/2, and Matern 3/2) are supported, with hyperparameters optimized through multi-start gradient-based search. For more details, see Zhao, Qing, and Xu (2025) <doi:10.48550/arXiv.2508.10447>.
Author: Jiangyan Zhao [cre, aut], Kunhai Qing [aut], Jin Xu [aut]
Maintainer: Jiangyan Zhao <zhaojy2017@126.com>

Diff between BKP versions 0.1.1 dated 2025-08-19 and 0.2.0 dated 2025-09-16

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More information about BKP at CRAN
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Package rush updated to version 0.3.1 with previous version 0.3.0 dated 2025-07-31

Title: Rapid Asynchronous and Distributed Computing
Description: Package to tackle large-scale problems asynchronously across a distributed network. Employing a database centric model, rush enables workers to communicate tasks and their results over a shared 'Redis' database. Key features include low task overhead, efficient caching, and robust error handling. The package powers the asynchronous optimization algorithms in the 'bbotk' and 'mlr3tuning' packages.
Author: Marc Becker [cre, aut, cph]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between rush versions 0.3.0 dated 2025-07-31 and 0.3.1 dated 2025-09-16

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More information about rush at CRAN
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Package ggiraph updated to version 0.9.1 with previous version 0.9.0 dated 2025-08-18

Title: Make 'ggplot2' Graphics Interactive
Description: Create interactive 'ggplot2' graphics using 'htmlwidgets'.
Author: David Gohel [aut, cre], Panagiotis Skintzos [aut], Mike Bostock [cph] , Speros Kokenes [cph] , Eric Shull [cph] , Lee Thomason [cph] , Vladimir Agafonkin [cph] , Eric Book [ctb]
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between ggiraph versions 0.9.0 dated 2025-08-18 and 0.9.1 dated 2025-09-16

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New package sstn with initial version 1.0.0
Package: sstn
Title: Self-Similarity Test for Normality
Version: 1.0.0
Description: Implements the Self-Similarity Test for Normality (SSTN), a new statistical test designed to assess whether a given sample originates from a normal distribution. The procedure is based on iteratively estimating the characteristic function of the sum of standardized i.i.d. random variables and comparing it to the characteristic function of the standard normal distribution. A Monte Carlo procedure is used to determine the empirical distribution of the test statistic under the null hypothesis. Details of the methodology are described in Anarat and Schwender (2025), "A normality test based on self-similarity" (Submitted).
License: GPL-3
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-11 15:09:15 UTC; Akin
Author: Akin Anarat [aut, cre]
Maintainer: Akin Anarat <akin.anarat@hhu.de>
Repository: CRAN
Date/Publication: 2025-09-16 07:30:02 UTC

More information about sstn at CRAN
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New package sqlq with initial version 1.0.1
Package: sqlq
Title: 'SQL' Query Builder
Version: 1.0.1
Maintainer: Pierrick Roger <pierrick.roger@cea.fr>
Description: Allows to build complex 'SQL' (Structured Query Language) queries dynamically. Classes and/or factory functions are used to produce a syntax tree from which the final character string is generated. Strings and identifiers are automatically quoted using the right quotes, using either ANSI (American National Standards Institute) quoting or the quoting style of an existing database connector. Style can be configured to set uppercase/lowercase for keywords, remove unnecessary spaces, or omit optional keywords.
URL: https://gitlab.com/cnrgh/databases/r-sqlq
BugReports: https://gitlab.com/cnrgh/databases/r-sqlq/-/issues
Depends: R (>= 4.1)
License: AGPL-3
Encoding: UTF-8
Suggests: roxygen2, testthat, knitr, rmarkdown, covr, cyclocomp, lintr, lgr, RSQLite
Imports: R6, chk, DBI
NeedsCompilation: no
VignetteBuilder: knitr
Packaged: 2025-09-11 16:01:38 UTC; pierrick
Author: Pierrick Roger [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-16 07:40:02 UTC

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New package rgeomorphon with initial version 0.3.0
Package: rgeomorphon
Title: A Lightweight Implementation of the 'Geomorphon' Algorithm
Version: 0.3.0
Maintainer: Andrew Brown <brown.andrewg@gmail.com>
Description: A lightweight implementation of the geomorphon terrain form classification algorithm of Jasiewicz and Stepinski (2013) <doi:10.1016/j.geomorph.2012.11.005> based largely on the 'GRASS GIS' 'r.geomorphon' module. This implementation employs a novel algorithm written in C++ and 'RcppParallel'.
License: GPL (>= 3)
Depends: R (>= 3.6.2)
Imports: Rcpp, RcppParallel
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Suggests: terra, future.apply, litedown, tinytest
Enhances: future, parallel
Encoding: UTF-8
Language: en-US
URL: https://github.com/brownag/rgeomorphon/, https://humus.rocks/rgeomorphon/
BugReports: https://github.com/brownag/rgeomorphon/issues
LazyData: true
VignetteBuilder: litedown
NeedsCompilation: yes
Packaged: 2025-09-11 14:04:19 UTC; andrew
Author: Andrew Brown [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-16 07:20:02 UTC

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Package guideR updated to version 0.4.1 with previous version 0.4.0 dated 2025-04-22

Title: Miscellaneous Statistical Functions Used in 'guide-R'
Description: Companion package for the manual 'guide-R : Guide pour l’analyse de données d’enquêtes avec R' available at <https://larmarange.github.io/guide-R/>. 'guideR' implements miscellaneous functions introduced in 'guide-R' to facilitate statistical analysis and manipulation of survey data.
Author: Joseph Larmarange [aut, cre]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

Diff between guideR versions 0.4.0 dated 2025-04-22 and 0.4.1 dated 2025-09-16

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Package DrugExposureDiagnostics updated to version 1.1.5 with previous version 1.1.4 dated 2025-06-16

Title: Diagnostics for OMOP Common Data Model Drug Records
Description: Ingredient specific diagnostics for drug exposure records in the Observational Medical Outcomes Partnership (OMOP) common data model.
Author: Ger Inberg [aut, cre] , Edward Burn [aut] , Theresa Burkard [aut] , Yuchen Guo [ctb] , Marti Catala [ctb] , Mike Du [ctb] , Xintong Li [ctb] , Ross Williams [ctb] , Erasmus MC [cph]
Maintainer: Ger Inberg <g.inberg@erasmusmc.nl>

Diff between DrugExposureDiagnostics versions 1.1.4 dated 2025-06-16 and 1.1.5 dated 2025-09-16

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New package ccar3 with initial version 0.1.0
Package: ccar3
Title: Canonical Correlation Analysis via Reduced Rank Regression
Version: 0.1.0
Date: 2025-08-22
Author: Claire Donnat [aut, cre] , Elena Tuzhilina [aut] , Zixuan Wu [aut]
Maintainer: Claire Donnat <cdonnat@uchicago.edu>
Description: Canonical correlation analysis (CCA) via reduced-rank regression with support for regularization and cross-validation. Several methods for estimating CCA in high-dimensional settings are implemented. The first set of methods, cca_rrr() (and variants: cca_group_rrr() and cca_graph_rrr()), assumes that one dataset is high-dimensional and the other is low-dimensional, while the second, ecca() (for Efficient CCA) assumes that both datasets are high-dimensional. For both methods, standard l1 regularization as well as group-lasso regularization are available. cca_graph_rrr further supports total variation regularization when there is a known graph structure among the variables of the high-dimensional dataset. In this case, the loadings of the canonical directions of the high-dimensional dataset are assumed to be smooth on the graph. For more details see Donnat and Tuzhilina (2024) <doi:10.48550/arXiv.2405.19539> and Wu, Tuzhilina and Donnat (2025) <doi:10.48550/arXiv.2507.11160> [...truncated...]
Depends: R (>= 3.5.0)
Imports: purrr, magrittr, tidyr, dplyr, foreach, pracma, corpcor, matrixStats, RSpectra, caret
Suggests: SMUT, igraph, testthat (>= 3.0.0), rrpack, CVXR, Matrix, glmnet, CCA, PMA, doParallel, crayon
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-11 21:48:50 UTC; clairedonnat
Repository: CRAN
Date/Publication: 2025-09-16 08:00:07 UTC

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Package bigDM updated to version 0.5.7 with previous version 0.5.6 dated 2025-03-25

Title: Scalable Bayesian Disease Mapping Models for High-Dimensional Data
Description: Implements several spatial and spatio-temporal scalable disease mapping models for high-dimensional count data using the INLA technique for approximate Bayesian inference in latent Gaussian models (Orozco-Acosta et al., 2021 <doi:10.1016/j.spasta.2021.100496>; Orozco-Acosta et al., 2023 <doi:10.1016/j.cmpb.2023.107403> and Vicente et al., 2023 <doi:10.1007/s11222-023-10263-x>). The creation and develpment of this package has been supported by Project MTM2017-82553-R (AEI/FEDER, UE) and Project PID2020-113125RB-I00/MCIN/AEI/10.13039/501100011033. It has also been partially funded by the Public University of Navarra (project PJUPNA2001).
Author: Aritz Adin [aut, cre] , Erick Orozco-Acosta [aut] , Maria Dolores Ugarte [aut]
Maintainer: Aritz Adin <aritz.adin@unavarra.es>

Diff between bigDM versions 0.5.6 dated 2025-03-25 and 0.5.7 dated 2025-09-16

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New package Asiaverse with initial version 0.1.0
Package: Asiaverse
Title: A Metapackage for Asian Countries RESTful APIs and Curated Datasets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: A metapackage that brings together a comprehensive collection of R packages providing access to APIs functions and curated datasets from China, Japan, South Korea, India, and Indonesia. It includes real-time and historical data through public RESTful APIs (Nager.Date, World Bank API, REST Countries API) and extensive curated collections of open datasets covering economics, demographics, public health, environmental data, natural disasters, political indicators, and social metrics. Designed to provide researchers, analysts, educators, and data scientists with centralized access to Asian data sources, this metapackage facilitates reproducible research, comparative analysis, and teaching applications focused on these five major Asian countries. Included packages: - 'ChinAPIs': APIs functions and curated datasets for China and Hong Kong covering air quality, demographics, input-output tables, epidemiology, political structure, and social indicators. - 'JapanAPIs': APIs functions and curate [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/lightbluetitan/asiaverse, https://lightbluetitan.github.io/asiaverse/
BugReports: https://github.com/lightbluetitan/asiaverse/issues
Encoding: UTF-8
Language: en
Depends: R (>= 4.1.0), ChinAPIs, JapanAPIs, SouthKoreAPIs, IndiAPIs, IndonesiAPIs
Imports: cli, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-11 16:23:00 UTC; Renzo
Author: Renzo Caceres Rossi [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-16 07:40:08 UTC

More information about Asiaverse at CRAN
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New package stepmetrics with initial version 1.0.1
Package: stepmetrics
Title: Calculate Step and Cadence Metrics from Wearable Data
Version: 1.0.1
Description: Provides functions to calculate step- and cadence-based metrics from timestamped accelerometer and wearable device data. Supports CSV and AGD files from 'ActiGraph' devices, CSV files from 'Fitbit' devices, and step counts derived with R package 'GGIR' <https://github.com/wadpac/GGIR>, with automatic handling of epoch lengths from 1 to 60 seconds. Metrics include total steps, cadence peaks, minutes and steps in predefined cadence bands, and time and steps in moderate-to-vigorous physical activity (MVPA). Methods and thresholds are informed by the literature, e.g., Tudor-Locke and Rowe (2012) <doi:10.2165/11599170-000000000-00000>, Barreira et al. (2012) <doi:10.1249/MSS.0b013e318254f2a3>, and Tudor-Locke et al. (2018) <doi:10.1136/bjsports-2017-097628>. The package record is also available on Zenodo (2023) <doi:10.5281/zenodo.7858094>.
License: AGPL (>= 3)
Depends: R (>= 3.5.0)
Encoding: UTF-8
Imports: PhysicalActivity, tools, stats, utils
Suggests: testthat (>= 3.0.0), RSQLite, spelling
URL: https://github.com/jhmigueles/stepmetrics
BugReports: https://github.com/jhmigueles/stepmetrics/issues
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-11 10:43:36 UTC; Jairo
Author: Jairo H Migueles [aut, cre], Elroy J Aguiar [fnd] , University of Alabama [fnd]
Maintainer: Jairo H Migueles <jairo@jhmigueles.com>
Repository: CRAN
Date/Publication: 2025-09-16 06:40:02 UTC

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Package radiant.data updated to version 1.6.8 with previous version 1.6.7 dated 2024-10-23

Title: Data Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Data menu includes interfaces for loading, saving, viewing, visualizing, summarizing, transforming, and combining data. It also contains functionality to generate reproducible reports of the analyses conducted in the application.
Author: Vincent Nijs [aut, cre], Niklas von Hertzen [aut]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

Diff between radiant.data versions 1.6.7 dated 2024-10-23 and 1.6.8 dated 2025-09-16

 DESCRIPTION        |   10 +++++-----
 MD5                |    8 ++++----
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 5 files changed, 27 insertions(+), 17 deletions(-)

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New package GPTCM with initial version 1.1.1
Package: GPTCM
Title: Generalized Promotion Time Cure Model with Bayesian Shrinkage Priors
Version: 1.1.1
Description: Generalized promotion time cure model (GPTCM) via Bayesian hierarchical modeling for multiscale data integration (Zhao et al. (2025) <doi:10.48550/arXiv.2509.01001>). The Bayesian GPTCMs are applicable for both low- and high-dimensional data.
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>
Copyright: The code in src/arms.cpp is slightly modified based on the research paper implementation written by Wally Gilks.
URL: https://github.com/ocbe-uio/GPTCM
BugReports: https://github.com/ocbe-uio/GPTCM/issues
License: GPL-3
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, survival, riskRegression, ggplot2, ggridges, miCoPTCM, loo, mvnfast, Matrix, scales, utils, stats, graphics
Suggests: knitr, survminer
NeedsCompilation: yes
SystemRequirements: C++17
Packaged: 2025-09-11 07:59:27 UTC; zhiz
Author: Zhi Zhao [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-16 06:10:02 UTC

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New package GenePopStats with initial version 0.1.0
Package: GenePopStats
Title: Population Genetics Statistics for Selective Sweep
Version: 0.1.0
Imports: vcfR
Description: Selective Sweep can be calculated by five significant Population Genetics Statistics such as "Pi", "Wattersons_theta", "Tajima_D", "Kelly_ZnS" and "Omega" Statistics in specified chromosomal region. It has been developed by using the concept of "Kern" and "Schrider" (2018)<doi:10.1534/g3.118.200262>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-11 09:07:00 UTC; Abhik
Author: Abhik Sarkar [aut, cre], Dwijesh Chandra Mishra [aut], Dipro Sinha [aut], Saikath Das [aut], Krishna Kumar Chaturvedi [aut], Shashi Bhushan Lal [aut], Sanjeev Kumar [aut], Ranjit Kumar Paul [aut], Girish Kumar Jha [aut], Neeraj Budhlakoti [aut], Md Y [...truncated...]
Maintainer: Abhik Sarkar <abhik.iasri@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-16 06:20:02 UTC

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New package fmrihrf with initial version 0.1.0
Package: fmrihrf
Title: Hemodynamic Response Functions for fMRI Data Analysis
Version: 0.1.0
Description: Creates, manipulates, and evaluates hemodynamic response functions and event-related regressors for functional magnetic resonance imaging data analysis. Supports multiple basis sets including Canonical, Gamma, Gaussian, B-spline, and Fourier bases. Features decorators for time-shifting and blocking, and efficient convolution algorithms for regressor construction. Methods are based on standard fMRI analysis techniques as described in Jezzard et al. (2001, ISBN:9780192630711).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp, assertthat, purrr, stats, Matrix, cli, memoise, numDeriv, splines, pracma
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++17
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2, dplyr, tidyr, viridis, scales, microbenchmark
VignetteBuilder: knitr
URL: https://bbuchsbaum.github.io/fmrihrf/
BugReports: https://github.com/bbuchsbaum/fmrihrf/issues
NeedsCompilation: yes
Packaged: 2025-09-11 12:12:18 UTC; bbuchsbaum
Author: Bradley Buchsbaum [aut, cre]
Maintainer: Bradley Buchsbaum <brad.buchsbaum@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-16 06:50:02 UTC

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New package ezTrack with initial version 0.1.0
Package: ezTrack
Title: Exploring Animal Movement Data
Version: 0.1.0
Description: Streamlines common steps for working with animal tracking data, from raw telemetry points to summaries, interactive maps, and home range estimates. Designed to be beginner-friendly, it enables rapid exploration of spatial and movement data with minimal wrangling, providing a unified workflow for importing, summarizing, and visualizing, and analyzing animal movement datasets.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: methods, sf, sp, geosphere, leaflet, adehabitatHR, magrittr, htmltools, utils, stats, ggplot2, readxl, kableExtra, dplyr
VignetteBuilder: knitr
Suggests: knitr, viridisLite, rmarkdown
BugReports: https://github.com/taylorbcraft/ezTrack/issues
URL: https://github.com/taylorbcraft/ezTrack
NeedsCompilation: no
Packaged: 2025-09-11 09:58:09 UTC; taylorcraft
Author: Taylor Craft [aut, cre]
Maintainer: Taylor Craft <taylor.craft.mail@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-16 06:40:07 UTC

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Package MLwrap (with last version 0.1.0) was removed from CRAN

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

2025-07-22 0.1.0

Permanent link
Package brpop (with last version 0.6.3) was removed from CRAN

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

2025-09-03 0.6.3
2025-09-02 0.6.2
2025-02-24 0.6.0
2024-10-17 0.5.0
2023-10-24 0.3.0
2022-08-18 0.1.5
2022-07-06 0.1.0

Permanent link
New package Rparadox with initial version 0.1.1
Package: Rparadox
Title: Read Paradox Database Files into R
Version: 0.1.1
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.
License: GPL (>= 2)
Encoding: UTF-8
Imports: blob, hms, tibble
Suggests: rmarkdown, devtools, knitr, testthat (>= 3.0.0), usethis
URL: https://github.com/celebithil/Rparadox
BugReports: https://github.com/celebithil/Rparadox/issues
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2025-09-11 06:58:59 UTC; celebithil
Author: Daniil Popov [aut, cre]
Maintainer: Daniil Popov <popov.daniil@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-09-16 06:00:19 UTC

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Package pwrss updated to version 1.0.0 with previous version 0.3.1 dated 2023-04-11

Title: Statistical Power and Sample Size Calculation Tools
Description: The 'pwrss' R package provides flexible and comprehensive functions for statistical power and minimum required sample size calculations across a wide range of commonly used hypothesis tests in psychological, biomedical, and social sciences.
Author: Metin Bulus [aut, cre], Sebastian Jentschke [ctb]
Maintainer: Metin Bulus <bulusmetin@gmail.com>

Diff between pwrss versions 0.3.1 dated 2023-04-11 and 1.0.0 dated 2025-09-16

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New package geospatialsuite with initial version 0.1.0
Package: geospatialsuite
Title: Comprehensive Geospatiotemporal Analysis and Multimodal Integration Toolkit
Version: 0.1.0
Maintainer: Olatunde D. Akanbi <olatunde.akanbi@case.edu>
Description: A comprehensive toolkit for geospatiotemporal analysis featuring 60+ vegetation indices, advanced raster visualization, universal spatial mapping, water quality analysis, CDL crop analysis, spatial interpolation, temporal analysis, and terrain analysis. Designed for agricultural research, environmental monitoring, remote sensing applications, and publication-quality mapping with support for any geographic region and robust error handling. Methods include vegetation indices calculations (Rouse et al. 1974), NDVI and enhanced vegetation indices (Huete et al. 1997) <doi:10.1016/S0034-4257(97)00104-1>, spatial interpolation techniques (Cressie 1993, ISBN:9780471002556), water quality indices (McFeeters 1996) <doi:10.1080/01431169608948714>, and crop data layer analysis (USDA NASS 2024) <https://www.nass.usda.gov/Research_and_Science/Cropland/>. Funding: This material is based upon financial support by the National Science Foundation, EEC Division of Engineering Education [...truncated...]
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: dplyr, ggplot2, graphics, grDevices, htmlwidgets, leaflet, magrittr, mice, parallel, RColorBrewer, rnaturalearth, sf, stats, stringr, terra, tigris, tools, utils, viridis
Suggests: knitr, pkgnet, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-11 07:55:14 UTC; oda10
Author: Olatunde D. Akanbi [aut, cre, cph] , Vibha Mandayam [aut] , Yinghui Wu [aut] , Jeffrey Yarus [aut] , Erika I. Barcelos [aut, cph] , Roger H. French [aut, cph]
Repository: CRAN
Date/Publication: 2025-09-16 06:00:02 UTC

More information about geospatialsuite at CRAN
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New package ecotourism with initial version 0.1.0
Package: ecotourism
Title: Collection of Data on Wildlife Sightings, Tourism Counts, and Weather from Australia
Version: 0.1.0
Description: This is a collection of data files for exploring sightings of wild things, relative to weather and tourism patterns in Australia.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Suggests: dplyr, ggplot2, ggthemes, ggbeeswarm, sf, knitr, lubridate, quarto, testthat (>= 3.0.0), tidyr
VignetteBuilder: quarto
SystemRequirements: Quarto
Depends: R (>= 3.5)
URL: https://github.com/vahdatjavad/ecotourism
BugReports: https://github.com/vahdatjavad/ecotourism/issues
NeedsCompilation: no
Packaged: 2025-09-11 06:01:31 UTC; jvah0003
Author: Dianne Cook [aut] , Lyn Cook [aut] , Javad Vahdat Atashgah [aut, cre]
Maintainer: Javad Vahdat Atashgah <vahdatjavad@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-16 06:00:11 UTC

More information about ecotourism at CRAN
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Package dialrjars updated to version 9.0.14 with previous version 8.13.36 dated 2024-05-03

Title: Required 'libphonenumber' jars for the 'dialr' Package
Description: Collects 'libphonenumber' jars required for the 'dialr' package.
Author: Danny Smith [aut, cre], Google Inc. [ctb, cph] , Vonage Holdings Corp. [ctb, cph] , Ian Galpin [ctb, cph] , Ben Gertzfield [ctb, cph]
Maintainer: Danny Smith <danny@gorcha.org>

Diff between dialrjars versions 8.13.36 dated 2024-05-03 and 9.0.14 dated 2025-09-16

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