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

 DESCRIPTION |   10 +++++-----
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 NEWS.md     |    2 ++
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 5 files changed, 27 insertions(+), 20 deletions(-)

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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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 R/facet_interactive.R             |    2 
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 R/tracers.R                       |    2 
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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

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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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 10 files changed, 30 insertions(+), 25 deletions(-)

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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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 13 files changed, 189 insertions(+), 75 deletions(-)

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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

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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

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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

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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

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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

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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

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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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