CRANberries

Fri, 10 Oct 2025

New package WeibullModiAMR with initial version 0.1.0
Package: WeibullModiAMR
Title: Fit Modified Weibull-Type Distributions
Version: 0.1.0
Description: Provides maximum likelihood estimation methods for eight modified Weibull-type distributions. It returns parameter estimates, log-likelihood, AIC, and BIC, and also supports model fitting, validation, and comparison across different distributional forms. These methods can be applied to reliability, survival, and lifetime data analysis, making the package useful for researchers and practitioners in statistics, engineering, and medicine. The following distributions are included: Rangoli2023, Peng2014, Lai2003, Xie1996, Sarhan2009, Rangoli2025, Mustafa2012, and Alwasel2009.
License: GPL-3
Encoding: UTF-8
Imports: stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-08 06:28:36 UTC; Reneuit
Author: Dr Ajaykumar Rangoli [aut, cre]
Maintainer: Dr Ajaykumar Rangoli <drajaykumarmr1008@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-10 20:10:02 UTC

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New package qol with initial version 1.0.1
Package: qol
Title: Powerful 'SAS' Inspired Concepts for more Efficient Bigger Outputs
Version: 1.0.1
Description: The main goal is to make descriptive evaluations easier to create bigger and more complex outputs in less time with less code. Introducing format containers with multilabels <https:[https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/p06ciqes4eaqo6n0zyqtz9p21nfb.htm]>, a more powerful summarise which is capable to output every possible combination of the provided grouping variables in one go <https:[https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/p0jvbbqkt0gs2cn1lo4zndbqs1pe.htm]>, tabulation functions which can create any table in different styles <https:[https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/n1ql5xnu0k3kdtn11gwa5hc7u435.htm]> and other more readable functions. The code is optimized to work fast even with datasets of over a million observations.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/s3rdia/qol
Imports: data.table (>= 1.17.8), collapse (>= 2.1.2), openxlsx2 (>= 1.19)
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-01 13:39:46 UTC; simonsemrau
Author: Tim Siebenmorgen [aut, cre, cph]
Maintainer: Tim Siebenmorgen <qol_package@proton.me>
Repository: CRAN
Date/Publication: 2025-10-10 20:00:02 UTC

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New package easyRef with initial version 0.1.0
Package: easyRef
Title: Easy Reference Generation for R Packages
Version: 0.1.0
Author: Rasmus Rydbirk [aut, cre]
Maintainer: Rasmus Rydbirk <rrydbirk@outlook.dk>
Description: Generate citations and references for R packages from CRAN or Bioconductor. Supports RIS and BibTeX formats with automatic DOI retrieval from GitHub repositories and published papers. Includes command-line interface for batch processing.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/rrydbirk/easyRef
BugReports: https://github.com/rrydbirk/easyRef/issues
Depends: R (>= 3.5.0)
Imports: utils, xml2, rvest
Suggests: BiocManager, stringr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-07 08:13:44 UTC; ucloud
Repository: CRAN
Date/Publication: 2025-10-10 19:30:02 UTC

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New package apathe with initial version 0.1.0
Package: apathe
Title: American Psychological Association Thesis Templates for R Markdown
Version: 0.1.0
Date: 2025-09-26
Description: Facilitates writing computationally reproducible student theses in PDF format that conform to the American Psychological Association (APA) manuscript guidelines (6th Edition). The package currently provides two R Markdown templates for homework and theses at the Psychology Department of the University of Cologne. The package builds on the package 'papaja' but is tailored to the requirements of student theses and omits features for simplicity.
URL: https://github.com/crsh/apathe
BugReports: https://github.com/crsh/apathe/issues
Imports: papaja (>= 0.1.3), bookdown, rmdfiltr (>= 0.1.5), rmarkdown, assertthat
Suggests: stringr, bibtex (>= 0.5.1), testthat (>= 3.0.0)
SystemRequirements: Rendering the document template requires pandoc (>= 2.0; https://pandoc.org) and for PDFs a TeX distribution, such as TinyTeX (>= 0.12; https://yihui.org/tinytex/)
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-07 09:00:33 UTC; frederikaust
Author: Frederik Aust [aut, cre]
Maintainer: Frederik Aust <frederik.aust@uni-koeln.de>
Repository: CRAN
Date/Publication: 2025-10-10 19:40:02 UTC

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Thu, 09 Oct 2025

New package tseffects with initial version 0.1.4
Package: tseffects
Title: Dynamic (Causal) Inferences from Time Series (with Interactions)
Version: 0.1.4
Maintainer: Soren Jordan <sorenjordanpols@gmail.com>
Description: Autoregressive distributed lag (A[R]DL) models (and their reparameterized equivalent, the Generalized Error-Correction Model [GECM]) (see De Boef and Keele 2008 <doi:10.1111/j.1540-5907.2007.00307.x>) are the workhorse models in uncovering dynamic inferences. ADL models are simple to estimate; this is what makes them attractive. Once these models are estimated, what is less clear is how to uncover a rich set of dynamic inferences from these models. We provide tools for recovering those inferences in three forms: causal inferences from ADL models, traditional time series quantities of interest (short- and long-run effects), and dynamic conditional relationships.
URL: https://sorenjordan.github.io/tseffects/, https://github.com/sorenjordan/tseffects
BugReports: https://github.com/sorenjordan/tseffects/issues
Imports: mpoly, car, ggplot2, sandwich, stats, utils
Suggests: knitr, rmarkdown, vdiffr, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
BuildManual: yes
NeedsCompilation: no
Packaged: 2025-10-06 14:16:05 UTC; sorenjordan
Author: Soren Jordan [aut, cre, cph] , Garrett N. Vande Kamp [aut], Reshi Rajan [aut]
Repository: CRAN
Date/Publication: 2025-10-09 12:10:02 UTC

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New package shinymrp with initial version 0.9.0
Package: shinymrp
Title: Interface for Multilevel Regression and Poststratification
Version: 0.9.0
Author: Toan Tran [cre, aut, cph], Jonah Gabry [aut, cph], Yajuan Si [aut, cph]
Maintainer: Toan Tran <trannttoan97@gmail.com>
Description: Dual interfaces, graphical and programmatic, designed for intuitive applications of Multilevel Regression and Poststratification (MRP). Users can apply the method to a variety of datasets, from electronic health records to sample survey data, through an end-to-end Bayesian data analysis workflow. The package provides robust tools for data cleaning, exploratory analysis, flexible model building, and insightful result visualization. For more details, see Si et al. (2020) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2020002/article/00003-eng.pdf?st=iF1_Fbrh> and Si (2025) <doi:10.1214/24-STS932>.
License: MIT + file LICENSE
URL: https://mrp-interface.github.io/shinymrp/
BugReports: https://github.com/mrp-interface/shinymrp/issues
Depends: R (>= 3.6.0)
Imports: bsicons, bslib, checkmate, config (>= 0.3.2), dplyr, DT, ggplot2, golem (>= 0.4.1), highcharter, htmlwidgets, httr2, loo, lubridate, magrittr, patchwork, posterior, purrr, qs, R6, RColorBrewer, readr, rlang, scales, shiny (>= 1.8.0), shinyjs, shinyWidgets, stringr, tidyr, waiter
Suggests: cmdstanr, knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Additional_repositories: https://stan-dev.r-universe.dev/
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-06 19:09:16 UTC; tntoan
Repository: CRAN
Date/Publication: 2025-10-09 12:20:09 UTC

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New package kardl with initial version 0.1.1
Package: kardl
Title: Make Symmetric and Asymmetric ARDL Estimations
Version: 0.1.1
Maintainer: Huseyin Karamelikli <hakperest@gmail.com>
Description: Implements estimation procedures for Autoregressive Distributed Lag (ARDL) and Nonlinear ARDL (NARDL) models, which allow researchers to investigate both short- and long-run relationships in time series data under mixed orders of integration. The package supports simultaneous modeling of symmetric and asymmetric regressors, flexible treatment of short-run and long-run asymmetries, and automated equation handling. It includes several cointegration testing approaches such as the Pesaran-Shin-Smith F and t bounds tests, the Banerjee error correction test, and the restricted ECM test, together with diagnostic tools including Wald tests for asymmetry, ARCH tests, and stability procedures (CUSUM and CUSUMQ). Methodological foundations are provided in Pesaran, Shin, and Smith (2001) <doi:10.1016/S0304-4076(01)00049-5> and Shin, Yu, and Greenwood-Nimmo (2014, ISBN:9780123855079).
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats, msm, lmtest, nlWaldTest, car, utils
Suggests: knitr, rmarkdown, officer, flextable, equatags, magrittr, rlang, ggplot2, tidyr, dplyr, testthat (>= 3.0.0)
NeedsCompilation: no
VignetteBuilder: knitr
Packaged: 2025-10-06 12:27:43 UTC; huseyin
Author: Huseyin Karamelikli [aut, cre] , Huseyin Utku Demir [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-10-09 12:10:11 UTC

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New package ItemRest with initial version 0.2.3
Package: ItemRest
Title: Automated Item Removal Strategies for Exploratory Factor Analysis
Version: 0.2.3
Description: Automates the identification and comparative evaluation of item-removal strategies in exploratory factor analysis, producing transparent summaries (explained variance, loading ranges, reliability) to support comfortable, reproducible decisions. The criteria are based on best practices and established heuristics (e.g., Costello & Osborne (2005) <doi:10.7275/jyj1-4868>, Howard (2016) <doi:10.1080/10447318.2015.1087664>).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: gtools, psych, qgraph, stats, utils
URL: https://github.com/ahmetcaliskan1987/ItemRest
BugReports: https://github.com/ahmetcaliskan1987/ItemRest/issues
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-06 14:02:37 UTC; ahmetcaliskan
Author: Ahmet Caliskan [aut, cre], Abdullah Faruk Kilic [aut]
Maintainer: Ahmet Caliskan <ahmetcaliskan1987@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-09 12:10:17 UTC

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New package BioMonTools with initial version 1.2.4
Package: BioMonTools
Title: Biomonitoring and Bioassessment Calculations
Version: 1.2.4
Maintainer: Erik W. Leppo <Erik.Leppo@tetratech.com>
Description: An aid for manipulating data associated with biomonitoring and bioassessment. Calculations include metric calculation, marking of excluded taxa, subsampling, and multimetric index calculation. Targeted communities are benthic macroinvertebrates, fish, periphyton, and coral. As described in the Revised Rapid Bioassessment Protocols (Barbour et al. 1999) <https://archive.epa.gov/water/archive/web/html/index-14.html>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: dplyr, maps, rlang, stats, tidyselect, tidyr
Suggests: DataExplorer, DT, ggplot2, knitr, lazyeval, readxl, reshape2, rmarkdown, testthat, shiny, shinydashboard, shinydashboardPlus, shinyjs, shinyWidgets, utils, writexl, shinyalert
URL: https://github.com/leppott/BioMonTools
BugReports: https://github.com/leppott/BioMonTools/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-06 18:17:29 UTC; Erik.Leppo
Author: Erik W. Leppo [aut, cre] , Jen Stamp [ctb], John van Sickles [ctb], Ben Block [ctb]
Repository: CRAN
Date/Publication: 2025-10-09 12:40:02 UTC

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New package psme with initial version 1.0.0
Package: psme
Version: 1.0.0
Date: 2025-10-06
Title: Penalized Splines Mixed-Effects Models
Maintainer: Zheyuan Li <zheyuan.li@bath.edu>
Depends: R (>= 4.0.0)
Imports: stats, Matrix, methods, mgcv, lme4
Description: Fit penalized splines mixed-effects models (a special case of additive models) for large longitudinal datasets. The package includes a psme() function that (1) relies on package 'mgcv' for constructing population and subject smooth functions as penalized splines, (2) transforms the constructed additive model to a linear mixed-effects model, (3) exploits package 'lme4' for model estimation and (4) backtransforms the estimated linear mixed-effects model to the additive model for interpretation and visualization. See Pedersen et al. (2019) <doi:10.7717/peerj.6876> and Bates et al. (2015) <doi:10.18637/jss.v067.i01> for an introduction. Unlike the gamm() function in 'mgcv', the psme() function is fast and memory-efficient, able to handle datasets with millions of observations.
License: GPL-3
NeedsCompilation: no
URL: https://github.com/ZheyuanLi/psme
Packaged: 2025-10-06 11:38:57 UTC; lzy
Author: Zheyuan Li [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-09 12:00:06 UTC

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New package CaMeA with initial version 0.1.0
Package: CaMeA
Title: Causal Meta-Analysis for Aggregated Data
Version: 0.1.0
Maintainer: Clement Berenfeld <clement.berenfeld@inria.fr>
Description: A tool for causal meta-analysis. This package implements the aggregation formulas and inference methods proposed in Berenfeld et al. (2025) <doi:10.48550/arXiv.2505.20168>. Users can input aggregated data across multiple studies and compute causally meaningful aggregated effects of their choice (risk difference, risk ratio, odds ratio, etc) under user-specified population weighting. The built-in function camea() allows to obtain precise variance estimates for these effects and to compare the latter to a classical meta-analysis aggregate, the random effect model, as implemented in the 'metafor' package <https://CRAN.R-project.org/package=metafor>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: purrr, metafor, tibble, dplyr
Suggests: knitr, rmarkdown, kableExtra
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-06 11:50:30 UTC; berenfeld
Author: Clement Berenfeld [ctb, cre], Ahmed Boughdiri [ctb], Charif El Gataa [aut], Julie Josse [ctb]
Repository: CRAN
Date/Publication: 2025-10-09 12:00:10 UTC

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New package PERSUADE with initial version 0.1.2
Package: PERSUADE
Title: Parametric Survival Model Selection for Decision-Analytic Models
Version: 0.1.2
Description: Provides a standardized framework to support the selection and evaluation of parametric survival models for time-to-event data. Includes tools for visualizing survival data, checking proportional hazards assumptions (Grambsch and Therneau, 1994, <doi:10.1093/biomet/81.3.515>), comparing parametric (Ishak and colleagues, 2013, <doi:10.1007/s40273-013-0064-3>), spline (Royston and Parmar, 2002, <doi:10.1002/sim.1203>) and cure models, examining hazard functions, and evaluating model extrapolation. Methods are consistent with recommendations in the NICE Decision Support Unit Technical Support Documents (14 and 21 <https://sheffield.ac.uk/nice-dsu/tsds/survival-analysis>). Results are structured to facilitate integration into decision-analytic models, and reports can be generated with 'rmarkdown'. The package builds on existing tools including 'flexsurv' (Jackson, 2016, <doi:10.18637/jss.v070.i08>)) and 'flexsurvcure' for estimating cure models.
License: GPL (>= 3)
URL: https://github.com/Bram-R/PERSUADE
BugReports: https://github.com/Bram-R/PERSUADE/issues
Depends: R (>= 4.1.0)
Imports: data.table, flexsurv, flexsurvcure, ggplot2, muhaz, rmarkdown, rms, sft, stats, survival, survminer
Suggests: kableExtra, knitr, testthat (>= 3.1.2), utils
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-06 09:47:00 UTC; G10028783
Author: Bram Ramaekers [aut, cre, ths] , Xavier Pouwels [ctb] , Sabine Grimm [ths] , Manuela Joore [ths]
Maintainer: Bram Ramaekers <bram.ramaekers@mumc.nl>
Repository: CRAN
Date/Publication: 2025-10-09 08:10:03 UTC

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New package geoflow with initial version 1.0.0
Package: geoflow
Version: 1.0.0
Date: 2025-10-08
Title: Orchestrate Geospatial (Meta)Data Management Workflows and Manage FAIR Services
Description: An engine to facilitate the orchestration and execution of metadata-driven data management workflows, in compliance with 'FAIR' (Findable, Accessible, Interoperable and Reusable) data management principles. By means of a pivot metadata model, relying on the 'DublinCore' standard (<https://dublincore.org/>), a unique source of metadata can be used to operate multiple and inter-connected data management actions. Users can also customise their own workflows by creating specific actions but the library comes with a set of native actions targeting common geographic information and data management, in particular actions oriented to the publication on the web of metadata and data resources to provide standard discovery and access services. At first, default actions of the library were meant to focus on providing turn-key actions for geospatial (meta)data: 1) by creating manage geospatial (meta)data complying with 'ISO/TC211' (<https://committee.iso.org/home/tc211>) and 'OGC' (< [...truncated...]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>
Depends: R (>= 3.3)
Imports: R6, methods, dotenv, benchmarkme, httr, mime, jsonlite, yaml, XML, xml2, rdflib, curl, whisker, mime, digest, dplyr, readr, arrow, zip, png, uuid, sf, sfarrow, terra, geometa (>= 0.9), geosapi, geonapi, geonode4R, ows4R
Suggests: testthat, readxl, gsheet, googledrive, DBI, rapiclient, RMariaDB, RPostgres, RPostgreSQL, RSQLite, ncdf4, thredds, EML, emld, datapack, dataone, rgbif, ocs4R, zen4R, atom4R, d4storagehub4R, rmarkdown, dataverse, blastula, waldo
License: MIT + file LICENSE
URL: https://github.com/r-geoflow/geoflow
BugReports: https://github.com/r-geoflow/geoflow/issues
LazyLoad: yes
NeedsCompilation: no
Packaged: 2025-10-08 20:09:51 UTC; emman
Author: Emmanuel Blondel [aut, cre, cph] , Julien, Barde [aut] , Wilfried Heintz [aut] , Alexandre Bennici [ctb], Sylvain Poulain [ctb], Bastien Grasset [ctb], Mathias Rouan [ctb], Emilie Lerigoleur [ctb], Yvan Le Bras [ctb], Jeroen Ooms [ctb]
Repository: CRAN
Date/Publication: 2025-10-09 08:50:09 UTC

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New package PKPDindex with initial version 0.2.0
Package: PKPDindex
Title: Optimal PK/PD Index Finder
Version: 0.2.0
Description: Fits Emax models to pharmacokinetic/pharmacodynamic (PK/PD) data, estimate key parameters, and visualise model fits for multiple PK/PD indices. Methods are described in Macdougall J (2006) <doi:10.1007/0-387-33706-7_9>, Spiess AN, Neumeyer N (2010) <doi:10.1186/1471-2210-10-6>, and Burnham KP, Anderson DR (2004) <doi:10.1177/0049124104268644>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-06 00:31:58 UTC; najla
Author: Najla Alabdulkarim [aut, cre], Joseph F Standing [aut]
Maintainer: Najla Alabdulkarim <naaalabdulkarim@hotmail.com>
Repository: CRAN
Date/Publication: 2025-10-09 07:40:07 UTC

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New package logolink with initial version 0.1.0
Package: logolink
Title: An Interface for Running 'NetLogo' Simulations
Version: 0.1.0
Description: An interface for 'NetLogo' <https://www.netlogo.org> that enables programmatic setup and execution of simulations. Designed to facilitate integrating 'NetLogo' models into reproducible workflows by creating and running 'BehaviorSpace' experiments and retrieving their results.
License: GPL (>= 3)
URL: https://danielvartan.github.io/logolink/, https://github.com/danielvartan/logolink/
BugReports: https://github.com/danielvartan/logolink/issues/
Depends: R (>= 4.4)
Imports: checkmate (>= 2.3.3), cli (>= 3.6.5), dplyr (>= 1.1.4), fs (>= 1.6.6), glue (>= 1.8.0), janitor (>= 2.2.1), magrittr (>= 2.0.4), purrr (>= 1.1.0), readr (>= 2.1.5), stringr (>= 1.5.2), xml2 (>= 1.4.0)
Suggests: bslib (>= 0.9.0), covr (>= 3.6.4), knitr (>= 1.50), spelling (>= 2.3.2), testthat (>= 3.2.3), tibble (>= 3.3.0),
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-06 07:35:27 UTC; danielvartan
Author: Daniel Vartanian [aut, cre, ccp, cph]
Maintainer: Daniel Vartanian <danielvartan@proton.me>
Repository: CRAN
Date/Publication: 2025-10-09 08:00:02 UTC

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New package graphonmix with initial version 0.0.1.0
Package: graphonmix
Title: Generates Mixture Graphs from Dense and Sparse Graphons
Version: 0.0.1.0
Maintainer: Sevvandi Kandanaarachchi <sevvandik@gmail.com>
Description: Generates (U,W) mixture graphs where U is a line graph graphon and W is a dense graphon. Graphons are graph limits and graphon U can be written as sequence of positive numbers adding to 1. Graphs are sampled from U and W and joined randomly to obtain the mixture graph. Given a mixture graph, U can be inferred. Kandanaarachchi and Ong (2025) <doi:10.48550/arXiv.2505.13864>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: ggplot2, igraph, imager, stats
Suggests: gridExtra, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://sevvandi.github.io/graphonmix/
NeedsCompilation: no
Packaged: 2025-10-05 22:38:34 UTC; kan092
Author: Sevvandi Kandanaarachchi [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-09 07:40:02 UTC

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New package CopernicusClimate with initial version 0.0.2
Package: CopernicusClimate
Title: Search Download and Handle Data from Copernicus Climate Data Service
Version: 0.0.2
Description: Subset and download data from EU Copernicus Climate Data Service: <https://cds.climate.copernicus.eu/>. Import information about the Earth's past, present and future climate from Copernicus into R without the need of external software.
Depends: R (>= 4.1.0)
Imports: dplyr, httr2, jsonlite, methods, purrr, rlang, stringr, tibble, tidyr
Suggests: ggplot2, knitr, RefManageR, rmarkdown, stars, testthat (>= 3.0.0)
License: GPL (>= 3)
Encoding: UTF-8
URL: https://pepijn-devries.github.io/CopernicusClimate/, https://github.com/pepijn-devries/CopernicusClimate/
BugReports: https://github.com/pepijn-devries/CopernicusMarine/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-05 15:45:23 UTC; vries171
Author: Pepijn de Vries [aut, cre]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>
Repository: CRAN
Date/Publication: 2025-10-09 07:40:12 UTC

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New package choicedata with initial version 0.1.0
Package: choicedata
Title: Working with Choice Data
Version: 0.1.0
Description: Offers a set of objects tailored to simplify working with choice data. It enables the computation of choice probabilities and the likelihood of various types of choice models based on given data.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/loelschlaeger/choicedata, http://loelschlaeger.de/choicedata/
BugReports: https://github.com/loelschlaeger/choicedata/issues
Suggests: mlogit, rmarkdown, testthat (>= 3.0.0)
Imports: checkmate, cli, dplyr, Formula, ggplot2, Matrix, mvtnorm, optimizeR, oeli (>= 0.7.5), patchwork, Rdpack, rlang, tibble, tidyr, utils
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-10-06 08:08:22 UTC; Lennart Oelschläger
Author: Lennart Oelschlaeger [aut, cre]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-09 08:00:08 UTC

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Wed, 08 Oct 2025

New package VBMS with initial version 1.0.0
Package: VBMS
Title: Variational Bayesian Algorithm for Multi-Source Heterogeneous Models
Version: 1.0.0
Description: A Variational Bayesian algorithm for high-dimensional multi-source heterogeneous linear models. More details have been written up in a paper submitted to the journal Statistics in Medicine, and the details of variational Bayesian methods can be found in Ray and Szabo (2021) <doi:10.1080/01621459.2020.1847121>. It simultaneously performs parameter estimation and variable selection. The algorithm supports two model settings: (1) local models, where variable selection is only applied to homogeneous coefficients, and (2) global models, where variable selection is also performed on heterogeneous coefficients. Two forms of Spike-and-Slab priors are available: the Laplace distribution and the Gaussian distribution as the Slab component.
License: MIT + file LICENSE
Imports: pracma, selectiveInference, MASS
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-04 02:34:22 UTC; 11877
Author: Lu Luo [aut, cre], Huiqiong Li [aut]
Maintainer: Lu Luo <luolu@stu.ynu.edu.cn>
Repository: CRAN
Date/Publication: 2025-10-08 19:40:13 UTC

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New package unexcel with initial version 0.1.0
Package: unexcel
Title: Revert Excel Serial Dates Back to Intended Day.Month Numerics
Version: 0.1.0
Description: Detects values imported from spreadsheets that were auto-converted to Excel date serials and reconstructs the originally intended day.month decimals (for example, '30.3' that Excel displayed as '30/03/2025'). The functions work in a vectorized manner, preserve non-serial values, and support both the 1900 and 1904 date systems.
License: MIT + file LICENSE
Depends: R (>= 3.6)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://github.com/drhrf/unexcel
BugReports: https://github.com/drhrf/unexcel/issues
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-04 16:06:48 UTC; freitashr
Author: Hercules Freitas [aut, cre]
Maintainer: Hercules Freitas <hercules.freitas@uerj.br>
Repository: CRAN
Date/Publication: 2025-10-08 19:50:03 UTC

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New package TPDDev with initial version 1.0.0
Package: TPDDev
Title: Tool for Construction of Two-Phase Experimental Designs
Version: 1.0.0
Maintainer: Akhilesh Jha <jha.akhilesh09@gmail.com>
Description: Provides functions to construct two-phase design layouts, compute treatment- and block-incidence matrices, derive C-matrices for residual, direct, and interaction effects, and calculate the efficiency factor for two-phase experimental designs with factorial treatment structure.
License: GPL-3
Encoding: UTF-8
Imports: MASS, Matrix
Depends: R (>= 4.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-03 20:20:37 UTC; Akhilesh Jha
Author: Akhilesh Jha [aut, cre], Cini Varghese [aut], Seema Jaggi [aut], Eldho Varghese [aut], Mohd Harun [aut]
Repository: CRAN
Date/Publication: 2025-10-08 19:40:17 UTC

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New package skytrackr with initial version 1.0
Package: skytrackr
Title: A Sky Illuminance Location Tracker
Version: 1.0
Maintainer: Koen Hufkens <koen.hufkens@gmail.com>
Description: Calculate geolocations by light using template matching. The routine uses a calibration free optimization of a sky illuminance model to determine locations robustly using a template matching approach, as described by Ekstrom (2004) <https://nipr.repo.nii.ac.jp/records/2496>, and behaviourly informed constraints (step-selection).
URL: https://github.com/bluegreen-labs/skytrackr
BugReports: https://github.com/bluegreen-labs/skytrackr/issues
Depends: R (>= 4.2)
License: AGPL-3
Encoding: UTF-8
LazyData: true
ByteCompile: true
Imports: skylight, circular, BayesianTools, cli, utils, memoise, stats, rlang, sf, terra, geosphere, tidyr, dplyr, ggplot2, plotly, patchwork, mapview
Suggests: knitr, rmarkdown, bookdown, covr, testthat, multidplyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-04 17:34:31 UTC; khufkens
Author: Koen Hufkens [aut, cre] , BlueGreen Labs [cph, fnd]
Repository: CRAN
Date/Publication: 2025-10-08 19:50:08 UTC

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New package pipetime with initial version 0.0.1
Package: pipetime
Title: Tools to Time Pipe Operations
Version: 0.0.1
Description: Enable users to measure and record the execution time of pipe operations (using |>) with optional logging to dataframes and output to the console.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), crayon, dplyr, ggplot2, stringr, tictoc, knitr, rmarkdown
URL: https://cygei.github.io/pipetime/; https://github.com/CyGei/pipetime
BugReports: https://github.com/CyGei/pipetime/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-29 19:13:44 UTC; cy
Author: Cyril Geismar [aut, cre, cph]
Maintainer: Cyril Geismar <c.geismar21@imperial.ac.uk>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2025-10-08 19:50:14 UTC

More information about pipetime at CRAN
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New package MLSP with initial version 0.1.0
Package: MLSP
Title: Machine Learning Models for Soil Properties
Version: 0.1.0
Description: Creates a spectroscopy guideline with a highly accurate prediction model for soil properties using machine learning or deep learning algorithms such as LASSO, Random Forest, Cubist, etc., and decide which algorithm generates the best model for different soil types.
License: GPL-2
Encoding: UTF-8
Imports: gsignal, pls, glmnet, Cubist, randomForest
NeedsCompilation: no
Packaged: 2025-10-03 19:01:09 UTC; pch276
Author: Pengyuan Chen [aut, cre], Christopher Clingensmith [aut], Chenglong Ye [aut], Sabine Grunwald [aut], Katsutoshi Mizuta [aut]
Maintainer: Pengyuan Chen <pch276@uky.edu>
Repository: CRAN
Date/Publication: 2025-10-08 19:40:21 UTC

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New package FuzzySpec with initial version 1.0.0
Package: FuzzySpec
Title: Fuzzy Spectral Clustering with Variable-Weighted Adjacency Matrices
Version: 1.0.0
Date: 2025-09-23
Author: Jesse S. Ghashti [aut, cre], John R.J. Thompson [aut]
Maintainer: Jesse S. Ghashti <jesse.ghashti@ubc.ca>
Description: Implementation of the FVIBES, the Fuzzy Variable-Importance Based Eigenspace Separation algorithm as described in the paper by Ghashti, J.S., Hare, W., and J.R.J. Thompson (2025). Variable-Weighted Adjacency Constructions for Fuzzy Spectral Clustering. Submitted.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, Thresher, fclust, mclust, mvtnorm, np, ggplot2, viridisLite
Suggests: knitr, MASS, rmarkdown, patchwork, devtools, spelling
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-05 03:47:22 UTC; jesseghashti
Language: en-US
Repository: CRAN
Date/Publication: 2025-10-08 20:00:03 UTC

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New package SimKid with initial version 1.0.0
Package: SimKid
Title: Simulate Virtual Pediatrics using Anthropometric Growth Charts
Version: 1.0.0
Description: Simulate a virtual population of subjects that has demographic distributions (height, weight, and BMI) and correlations (height and weight), by sex and age, which mimic those reported in real-world anthropometric growth charts (CDC, WHO, or Fenton).
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Imports: dplyr (>= 1.1.4), ggplot2 (>= 3.5.1), magrittr (>= 2.0.3), msm (>= 1.7.1), randomizr (>= 1.0.0), rlang (>= 1.1.4), stats (>= 4.4.1), tidyr (>= 1.3.1), tmvtnorm (>= 1.6), withr (>= 3.0.0)
Suggests: spelling, testthat (>= 3.0.0)
BugReports: https://github.com/Andy00000000000/SimKid/issues
URL: https://github.com/Andy00000000000/SimKid
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-02 17:34:43 UTC; epd
Author: Andrew Santulli [aut, cre], Enhanced Pharmacodynamics LLC [cph, fnd]
Maintainer: Andrew Santulli <asantulli@epd-llc.com>
Repository: CRAN
Date/Publication: 2025-10-08 08:50:12 UTC

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New package Rato with initial version 0.1.0
Package: Rato
Title: Resilience Analysis Toolkit (RATO)
Version: 0.1.0
Author: Victor Chavauty [aut, cre]
Maintainer: Victor Chavauty <lesserfish@pm.me>
Description: Collection of tools for the analysis of the resilience of dynamic networks. Created as a classroom project.
License: GPL-3
Encoding: UTF-8
Imports: deSolve, igraph, utils
Suggests: animation, RColorBrewer
NeedsCompilation: no
Packaged: 2025-10-02 06:47:47 UTC; lesserfish
Repository: CRAN
Date/Publication: 2025-10-08 08:40:13 UTC

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New package PVBcorrect with initial version 0.3.1
Package: PVBcorrect
Title: Partial Verification Bias Correction for Diagnostic Accuracy
Version: 0.3.1
Maintainer: Wan Nor Arifin <wnarifin@gmail.com>
URL: https://github.com/wnarifin/PVBcorrect/
Description: Performs partial verification bias (PVB) correction for binary diagnostic tests, where PVB arises from selective patient verification in diagnostic accuracy studies. Supports correction of important accuracy measures -- sensitivity, specificity, positive predictive values and negative predictive value -- under missing-at-random and missing-not-at-random missing data mechanisms. Available methods and references are "Begg and Greenes' methods" in Alonzo & Pepe (2005) <doi:10.1111/j.1467-9876.2005.00477.x> and deGroot et al. (2011) <doi:10.1016/j.annepidem.2010.10.004>; "Multiple imputation" in Harel & Zhou (2006) <doi:10.1002/sim.2494>, "EM-based logistic regression" in Kosinski & Barnhart (2003) <doi:10.1111/1541-0420.00019>; "Inverse probability weighting" in Alonzo & Pepe (2005) <doi:10.1111/j.1467-9876.2005.00477.x>; "Inverse probability bootstrap sampling" in Nahorniak et al. (2015) <doi:10.1371/journal.pone.0131765> and Arifin &am [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: boot, mice
Suggests: testthat (>= 3.0.0)
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2025-10-02 06:59:45 UTC; wnarifin
Author: Wan Nor Arifin [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-10-08 08:40:18 UTC

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New package EconCausal with initial version 1.0.2
Package: EconCausal
Title: Causal Analysis for Macroeconomic Time Series (ECM-MARS, BSTS, Bayesian GLM-AR(1))
Version: 1.0.2
Description: Implements three complementary pipelines for causal analysis on macroeconomic time series: (1) Error-Correction Models with Multivariate Adaptive Regression Splines (ECM-MARS), (2) Bayesian Structural Time Series (BSTS), and (3) Bayesian GLM with AR(1) errors validated with Leave-Future-Out (LFO). Heavy backends (Stan) are optional and never used in examples or tests.
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: brms, readxl, dplyr, tidyr, tibble, purrr, bsts, BoomSpikeSlab, tseries, urca, vars, progressr, future.apply, rlang, magrittr, parallel, stats, utils
Suggests: knitr, cmdstanr, rstan, future, RhpcBLASctl, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/IsadoreNabi/EconCausal
BugReports: https://github.com/IsadoreNabi/EconCausal/issues
Additional_repositories: https://stan-dev.r-universe.dev
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-01 21:20:48 UTC; ROG
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>
Repository: CRAN
Date/Publication: 2025-10-08 08:40:24 UTC

More information about EconCausal at CRAN
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Tue, 07 Oct 2025

New package RTMBdist with initial version 0.1.0
Package: RTMBdist
Title: Distributions Compatible with Automatic Differentiation by 'RTMB'
Version: 0.1.0
Description: Extends the functionality of the 'RTMB' <https://kaskr.r-universe.dev/RTMB> package by providing a collection of non-standard probability distributions compatible with automatic differentiation (AD). While 'RTMB' enables flexible and efficient modelling, including random effects, its built-in support is limited to standard distributions. The package adds additional AD-compatible distributions, broadening the range of models that can be implemented and estimated using 'RTMB'. Automatic differentiation and Laplace approximation are described in Kristensen et al. (2016) <doi:10.18637/jss.v070.i05>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, gamlss.dist, circular, sn, statmod, movMF
Depends: R (>= 3.5.0), RTMB (>= 1.7.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), LaMa (>= 2.0.6), Matrix, TMB, gamlss.data, mvtnorm
URL: https://janoleko.github.io/RTMBdist/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-01 08:06:59 UTC; jan-ole
Author: Jan-Ole Koslik [aut, cre]
Maintainer: Jan-Ole Koslik <jan-ole.koslik@uni-bielefeld.de>
Repository: CRAN
Date/Publication: 2025-10-07 18:30:15 UTC

More information about RTMBdist at CRAN
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New package rixpress with initial version 0.10.0
Package: rixpress
Title: Build Reproducible Analytical Pipelines with 'Nix'
Version: 0.10.0
Description: Streamlines the creation of reproducible analytical pipelines using 'default.nix' expressions generated via the 'rix' package for reproducibility. Define derivations in 'R', 'Python' or 'Julia', chain them into a composition of pure functions and build the resulting pipeline using 'Nix' as the underlying end-to-end build tool. Functions to plot the pipeline as a directed acyclic graph are included, as well as functions to load and inspect intermediary results for interactive analysis. User experience heavily inspired by the 'targets' package.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/ropensci/rixpress/, https://docs.ropensci.org/rixpress/
BugReports: https://github.com/ropensci/rixpress/issues/
Depends: R (>= 4.1.0)
Imports: igraph, jsonlite, processx
SystemRequirements: Nix
Language: en-GB
Suggests: dplyr, ggdag, ggplot2, knitr, mockery, reticulate, rix, rmarkdown, testthat (>= 3.0.0), usethis, visNetwork
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-01 08:48:42 UTC; brodrigues
Author: Bruno Rodrigues [aut, cre] , William Michael Landau [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/706>), Anthony Martinez [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/625>)
Maintainer: Bruno Rodrigues <bruno@brodrigues.co>
Repository: CRAN
Date/Publication: 2025-10-07 18:30:02 UTC

More information about rixpress at CRAN
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New package pwranova with initial version 1.0.2
Package: pwranova
Title: Power Analysis of Flexible ANOVA Designs and Related Tests
Version: 1.0.2
Description: Provides functions for conducting power analysis in ANOVA designs, including between-, within-, and mixed-factor designs, with full support for both main effects and interactions. The package allows calculation of statistical power, required total sample size, significance level, and minimal detectable effect sizes expressed as partial eta squared or Cohen's f for ANOVA terms and planned contrasts. In addition, complementary functions are included for common related tests such as t-tests and correlation tests, making the package a convenient toolkit for power analysis in experimental psychology and related fields.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/mutopsy/pwranova, https://mutopsy.github.io/pwranova/
BugReports: https://github.com/mutopsy/pwranova/issues
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-01 04:59:07 UTC; owner
Author: Hiroyuki Muto [aut, cre]
Maintainer: Hiroyuki Muto <mutopsy@omu.ac.jp>
Repository: CRAN
Date/Publication: 2025-10-07 18:30:09 UTC

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New package Latamverse with initial version 0.1.0
Package: Latamverse
Title: Latin American Data via 'RESTful' APIs and Curated Datasets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Brings together a comprehensive collection of R packages providing access to API functions and curated datasets from Argentina, Brazil, Chile, Colombia, and Peru. Includes real-time and historical data through public 'RESTful' APIs ('Nager.Date', World Bank API, REST Countries API, and country-specific APIs) and extensive curated collections of open datasets covering economics, demographics, public health, environmental data, political indicators, social metrics, and cultural information. Designed to provide researchers, analysts, educators, and data scientists with centralized access to Latin American data sources, facilitating reproducible research, comparative analysis, and teaching applications focused on these five major Latin American countries. Included packages: - 'ArgentinAPI': API functions and curated datasets for Argentina covering exchange rates, inflation, political figures, national holidays and more. - 'BrazilDataAPI': API functions and curated datasets for Brazil cover [...truncated...]
License: GPL-3
URL: https://github.com/lightbluetitan/latamverse, https://lightbluetitan.github.io/latamverse/
BugReports: https://github.com/lightbluetitan/latamverse/issues
Encoding: UTF-8
Language: en
Depends: R (>= 4.1.0), ArgentinAPI, BrazilDataAPI, ChileDataAPI, ColombiAPI, PeruAPIs
Imports: cli, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-01 14:39:12 UTC; Renzo
Author: Renzo Caceres Rossi [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-07 18:40:02 UTC

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New package ActiveLearning4SPM with initial version 0.1.0
Package: ActiveLearning4SPM
Title: Active Learning for Process Monitoring
Version: 0.1.0
Description: Implements the methodology introduced in Capezza, Lepore, and Paynabar (2025) <doi:10.1080/00401706.2025.2561744> for process monitoring with limited labeling resources. The package provides functions to (i) simulate data streams with true latent states and multivariate Gaussian observations as done in the paper, (ii) fit partially hidden Markov models (pHMMs) using a constrained Baum-Welch algorithm with partial labels, and (iii) perform stream-based active learning that balances exploration and exploitation to decide whether to request labels in real time. The methodology is particularly suited for statistical process monitoring in industrial applications where labeling is costly.
Depends: R (>= 4.2)
Imports: Rcpp, Rfast, mvnfast, rrcov, caTools, abind, pROC, stats
LinkingTo: Rcpp, RcppArmadillo
License: GPL-3
Encoding: UTF-8
Suggests: covr, testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2025-09-30 12:31:47 UTC; christian.capezza
Author: Christian Capezza [aut, cre], Antonio Lepore [aut], Kamran Paynabar [aut]
Maintainer: Christian Capezza <christian.capezza@unina.it>
Repository: CRAN
Date/Publication: 2025-10-07 18:30:21 UTC

More information about ActiveLearning4SPM at CRAN
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New package mda.biber with initial version 1.0.1
Package: mda.biber
Title: Functions for Multi-Dimensional Analysis
Version: 1.0.1
Date: 2025-09-22
Description: Multi-Dimensional Analysis (MDA) is an adaptation of factor analysis developed by Douglas Biber (1992) <doi:10.1007/BF00136979>. Its most common use is to describe language as it varies by genre, register, and use. This package contains functions for carrying out the calculations needed to describe and plot MDA results: dimension scores, dimension means, and factor loadings.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, ggplot2, ggpubr, ggrepel, nFactors, stats, tidyr, viridis
Depends: R (>= 2.10)
Suggests: rmarkdown, knitr, corrplot, kableExtra, tidyverse, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-30 19:51:17 UTC; runner
Author: David Brown [aut, cre] , Alex Reinhart [aut]
Maintainer: David Brown <dwb2@andrew.cmu.edu>
Repository: CRAN
Date/Publication: 2025-10-07 18:00:02 UTC

More information about mda.biber at CRAN
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New package GPpenalty with initial version 0.1.0
Package: GPpenalty
Title: Penalized Likelihood in Gaussian Processes
Version: 0.1.0
Description: Implements maximum likelihood estimation for Gaussian processes, supporting both isotropic and separable models with predictive capabilities. Includes penalized likelihood estimation following Li and Sudjianto (2005, <doi:10.1198/004017004000000671>), using score-based metrics that account for uncertainty (See Gneiting and Raftery 2007, <doi:10.1198/016214506000001437>). Includes cross validation techniques for tuning parameter selection. Designed specifically for small datasets.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
LinkingTo: Rcpp
Imports: Rcpp, doParallel, foreach
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2025-09-30 21:26:31 UTC; ayumi
Author: Ayumi Mutoh [aut, cre]
Maintainer: Ayumi Mutoh <amutoh@ncsu.edu>
Repository: CRAN
Date/Publication: 2025-10-07 18:00:07 UTC

More information about GPpenalty at CRAN
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New package BTIME with initial version 1.0.0
Package: BTIME
Title: Bayesian Hierarchical Models for Single-Cell Protein Data
Version: 1.0.0
Description: Bayesian Hierarchical beta-binomial models for modeling cell population to predictors/exposures. This package utilizes 'runjags' to run Gibbs sampling with parallel chains. Options for different covariances/relationship structures between parameters of interest.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: coda, runjags, VGAM, matlib
Depends: R (>= 3.5), rjags
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-30 21:02:27 UTC; cjsakitis
Author: Chase Sakitis [aut, cre], Brooke Fridley [aut]
Maintainer: Chase Sakitis <cjsakitis@cmh.edu>
Repository: CRAN
Date/Publication: 2025-10-07 18:00:12 UTC

More information about BTIME at CRAN
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Mon, 06 Oct 2025

New package UVdose with initial version 0.1.1
Package: UVdose
Title: Estimate Ambient UV Dose from Location and Date Info
Version: 0.1.1
Description: Estimate ambient vitamin D-effective or erythemal dose using ultraviolet radiation (UV) data from the 'TEMIS' database, based on date and geographical location.
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: dplyr, ncdf4, tidyr, reshape2, lubridate, magrittr, purrr, rlang
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-30 14:53:19 UTC; rasha
Author: Rasha Shraim [aut, cre] , Lina Zgaga [aut]
Maintainer: Rasha Shraim <rshraim@tcd.ie>
Repository: CRAN
Date/Publication: 2025-10-06 08:40:09 UTC

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New package sulcimap with initial version 1.0.4
Package: sulcimap
Title: Mapping Brain Folding Patterns
Version: 1.0.4
Maintainer: Mahan Shafie <mahan.shafie@unito.it>
Description: Visualizes sulcal morphometry data derived from 'BrainVisa' <https://brainvisa.info/> including width, depth, surface area, and length. The package enables mapping of statistical group results or subject-level values onto cortical surface maps, with options to focus on all sulci or only selected regions of interest. Users can display all four measures simultaneously or restrict plots to chosen measures, creating composite, publication-quality brain visualizations in R to support the analysis and interpretation of sulcal morphology.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: utils, tools, magick, ggplot2, viridisLite, scales, patchwork, cowplot, grid, grDevices
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-30 10:46:05 UTC; mahan
Author: Mahan Shafie [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-06 08:10:02 UTC

More information about sulcimap at CRAN
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New package SimpleUpset with initial version 0.1.2
Package: SimpleUpset
Title: Create Upset Plots
Version: 0.1.2
Description: Create Upset plots using a combination of 'ggplot2' and 'patchwork'.
URL: https://github.com/smped/SimpleUpset
BugReports: https://github.com/smped/SimpleUpset/issues
License: GPL-3
Encoding: UTF-8
Depends: ggplot2 (>= 4.0.0), patchwork (>= 1.3.2), R (>= 4.1.0),
Imports: dplyr, methods, rlang (>= 1.1.6), S7, scales, tidyr, tidyselect
Suggests: knitr, pander, pkgdown, testthat (>= 3.0.0), tidyverse (>= 2.0.0),
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-30 13:05:50 UTC; stevie
Author: Stevie Pederson [aut, cre]
Maintainer: Stevie Pederson <stephen.pederson.au@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-06 08:30:24 UTC

More information about SimpleUpset at CRAN
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New package optsize with initial version 0.1.0
Package: optsize
Title: Optimal Plot Size Estimation for Field Experiments
Version: 0.1.0
Description: Provides methods for determining optimum plot size and shape in field experiments using Fairfield-Smith's variance law approach. It will evaluate field variability, determine optimum plot size and shape and study fertility trends across the field.
License: GPL (>= 3)
Encoding: UTF-8
Imports: ggplot2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-30 12:33:47 UTC; lenovo
Author: Y.A. Garde [aut, cre, cph] , S.G. Patil [aut], M.S. Shitap [aut]
Maintainer: Y.A. Garde <y.garde@yahoo.co.in>
Repository: CRAN
Date/Publication: 2025-10-06 08:30:02 UTC

More information about optsize at CRAN
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New package normref with initial version 0.0.0.1
Package: normref
Title: Continuous Norming
Version: 0.0.0.1
Description: A toolbox for calculating continuous norms for psychological tests, where the norms can be age-dependent. The norms are based Generalized Additive Models for Location, Scale, and Shape (GAMLSS) for the test scores in the normative sample. The package includes functions for model selection, reliability estimation, and calculating norms, including confidence intervals. For more details, see Timmerman et al. (2021) <doi:10.1037/met0000348>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: gamlss, gamlss.dist, ggplot2, openxlsx2, rlang, Rdpack, stats, utils, withr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), gamlss.tr, future, future.apply
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-30 14:11:32 UTC; P157735
Author: Klazien de Vries [aut] , Hannah Heister [aut] , Julian Urban [aut] , Lieke Voncken [ctb] , Marieke Timmerman [aut, cre]
Maintainer: Marieke Timmerman <m.e.timmerman@rug.nl>
Repository: CRAN
Date/Publication: 2025-10-06 08:40:02 UTC

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New package nilsier with initial version 0.1.1
Package: nilsier
Title: Design-Based Estimators for NILS
Version: 0.1.1
Description: Estimators and variance estimators tailored to the NILS hierarchical design (Adler et al. 2020, <https://res.slu.se/id/publ/105630>; Grafström et al. 2023, <https://res.slu.se/id/publ/128235>). The National Inventories of Landscapes in Sweden (NILS) is a long-term national monitoring program that collects, analyses and presents data on Swedish nature, covering both common and rare habitats <https://www.slu.se/om-slu/organisation/institutioner/skoglig-resurshushallning/miljoanalys/nils/>.
License: AGPL-3
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.2)
Imports: Rcpp (>= 1.0.14)
LinkingTo: Rcpp
URL: https://github.com/envisim/nilsier/
NeedsCompilation: yes
LazyData: true
Packaged: 2025-09-30 07:39:33 UTC; wpmg
Author: Wilmer Prentius [aut, cre]
Maintainer: Wilmer Prentius <wilmer.prentius@slu.se>
Repository: CRAN
Date/Publication: 2025-10-06 08:10:07 UTC

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New package hyreg2 with initial version 1.0.0
Package: hyreg2
Title: Estimate Latent Classes on a Mixture of Continuous and Dichotomous Data
Version: 1.0.0
Description: EQ-5D value set estimation can be done using the hybrid model likelihood as described by Oppe and van Hout (2010) <doi:10.1002/hec.3560> and Ramos-Goñi et al. (2017) <doi:10.1097/MLR.0000000000000283 >. The package is based on `flexmix()` and among others contains an M-step-driver as described by Leisch (2004) <doi:10.18637/jss.v011.i08>. Users can estimate latent classes and address preference heterogeneity. Both uncensored and censored data are supported. Furthermore, heteroscedasticity can be taken into account. It is possible to control for different covariates on the continuous and dichotomous parts of the data and start values can differ between the expected latent classes.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: flexmix, bbmle, ggplot2, methods, stats, utils
Suggests: testthat (>= 3.0.0)
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2025-09-30 10:46:26 UTC; selkenkamp
Author: Svenja Elkenkamp [aut, cre], Kim Rand [aut], John Grosser [aut], EuroQol [fnd]
Maintainer: Svenja Elkenkamp <svenja.elkenkamp@uni-bielefeld.de>
Repository: CRAN
Date/Publication: 2025-10-06 08:30:18 UTC

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New package FakeDataR with initial version 0.2.2
Package: FakeDataR
Title: Privacy-Preserving Synthetic Data for 'LLM' Workflows
Version: 0.2.2
Description: Generate privacy-preserving synthetic datasets that mirror structure, types, factor levels, and missingness; export bundles for 'LLM' workflows (data plus 'JSON' schema and guidance); and build fake data directly from 'SQL' database tables without reading real rows. Methods are related to approaches in Nowok, Raab and Dibben (2016) <doi:10.32614/RJ-2016-019> and the foundation-model overview by Bommasani et al. (2021) <doi:10.48550/arXiv.2108.07258>.
License: MIT + file LICENSE
URL: https://zobaer09.github.io/FakeDataR/, https://github.com/zobaer09/FakeDataR
BugReports: https://github.com/zobaer09/FakeDataR/issues
Encoding: UTF-8
Imports: dplyr, jsonlite, zip
Suggests: readr, testthat (>= 3.0.0), knitr, rmarkdown, DBI, RSQLite, tibble, nycflights13, palmerpenguins, gapminder, arrow, withr
VignetteBuilder: knitr, rmarkdown
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-30 03:48:13 UTC; Zobaer Ahmed
Author: Zobaer Ahmed [aut, cre]
Maintainer: Zobaer Ahmed <zunnun09@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-06 08:10:19 UTC

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New package conformalForecast with initial version 0.1.0
Package: conformalForecast
Title: Conformal Prediction Methods for Multistep-Ahead Time Series Forecasting
Version: 0.1.0
Description: Methods and tools for performing multistep-ahead time series forecasting using conformal prediction methods including classical conformal prediction, adaptive conformal prediction, conformal PID (Proportional-Integral-Derivative) control, and autocorrelated multistep-ahead conformal prediction. The methods were described by Wang and Hyndman (2024) <doi:10.48550/arXiv.2410.13115>.
License: GPL-3
URL: https://github.com/xqnwang/conformalForecast, https://xqnwang.github.io/conformalForecast/
BugReports: https://github.com/xqnwang/conformalForecast/issues
Imports: forecast, ggdist, rlang, stats, zoo
Suggests: dplyr, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0), tibble, tsibble
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-09-30 08:45:07 UTC; xiaoqianwang
Author: Xiaoqian Wang [aut, cre, cph] , Rob Hyndman [aut]
Maintainer: Xiaoqian Wang <Xiaoqian.Wang@amss.ac.cn>
Repository: CRAN
Date/Publication: 2025-10-06 08:10:12 UTC

More information about conformalForecast at CRAN
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New package AlgeriAPIs with initial version 0.1.0
Package: AlgeriAPIs
Title: Access Algerian Data via Public APIs
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Provides functions to access data from public RESTful APIs including 'World Bank API' and 'REST Countries API', retrieving real-time or historical information related to Algeria. The package enables users to query economic indicators and international demographic and geopolitical statistics in a reproducible way. It is designed for researchers, analysts, and developers who require reliable and programmatic access to Algerian data through established APIs. For more information on the APIs, see: 'World Bank API' <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392> and 'REST Countries API' <https://restcountries.com/>.
License: MIT + file LICENSE
Language: en
URL: https://github.com/lightbluetitan/algeriapis, https://lightbluetitan.github.io/algeriapis/
BugReports: https://github.com/lightbluetitan/algeriapis/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: utils, httr, jsonlite, dplyr, scales, tibble
Suggests: ggplot2, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-30 16:13:11 UTC; Renzo
Author: Renzo Caceres Rossi [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-06 08:40:15 UTC

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New package summarytabl with initial version 0.1.0
Package: summarytabl
Title: Generate Summary Tables for Continuous, Ordinal, and Categorical Data
Version: 0.1.0
Maintainer: Ama Nyame-Mensah <ama@anyamemensah.com>
URL: https://anyamemensah.github.io/summarytabl/
Description: Provides functions for tabulating and summarizing continuous, ordinal, and categorical variables in data frames. The package was designed to streamline exploratory data analysis and simplify the creation of summary tables for reports and other purposes.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, purrr, rlang, stats, tibble, tidyr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-09-30 02:56:26 UTC; AmaNM
Author: Ama Nyame-Mensah [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-06 08:00:02 UTC

More information about summarytabl at CRAN
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New package RegCalReliab with initial version 0.2.0
Package: RegCalReliab
Title: Regression Calibration Using Reliability Studies
Version: 0.2.0
Maintainer: Bowen Liu <bowenliu@hsph.harvard.edu>
Description: Implements regression calibration methods for correcting measurement error in regression models using external or internal reliability studies. Methods are described in Carroll, Ruppert, Stefanski, and Crainiceanu (2006) "Measurement Error in Nonlinear Models: A Modern Perspective" <doi:10.1201/9781420010138>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, sandwich
Suggests: mgcv, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://lbw080526.github.io/RegCalReliab/, https://github.com/lbw080526/RegCalReliab
BugReports: https://github.com/lbw080526/RegCalReliab/issues
NeedsCompilation: no
Packaged: 2025-09-29 20:44:26 UTC; liubowen
Author: Bowen Liu [aut, cre, cph], Yu Lu [aut], Molin Wang [aut]
Repository: CRAN
Date/Publication: 2025-10-06 08:00:19 UTC

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New package Pinference with initial version 0.2.5
Package: Pinference
Title: Probability Inference for Propositional Logic
Version: 0.2.5
Description: Implementation of T. Hailperin's procedure to calculate lower and upper bounds of the probability for a propositional-logic expression, given equality and inequality constraints on the probabilities for other expressions. Truth-valuation is included as a special case. Applications range from decision-making and probabilistic reasoning, to pedagogical for probability and logic courses. For more details see T. Hailperin (1965) <doi:10.1080/00029890.1965.11970533>, T. Hailperin (1996) "Sentential Probability Logic" ISBN:0-934223-45-9, and package documentation. Requires the 'lpSolve' package.
License: AGPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: lpSolve
VignetteBuilder: knitr
URL: https://pglpm.github.io/Pinference/, https://github.com/pglpm/Pinference/
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-09-29 20:20:42 UTC; pglpm
Author: PierGianLuca Porta Mana [aut, cre, cph]
Maintainer: PierGianLuca Porta Mana <pgl@portamana.org>
Repository: CRAN
Date/Publication: 2025-10-06 08:00:24 UTC

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New package healthmotionR with initial version 0.1.0
Package: healthmotionR
Title: A Comprehensive Collection of Health and Human Motion Datasets
Version: 0.1.0
Maintainer: Oscar Alejandro Sialer Gallo <alejandro.sialer.gallo@gmail.com>
Description: Provides a broad collection of datasets focused on health, biomechanics, and human motion. It includes clinical, physiological, and kinematic information from diverse sources, covering aspects such as surgery outcomes, vital signs, rheumatoid arthritis, osteoarthritis, accelerometry, gait analysis, motion sensing, and biomechanics experiments. Designed for researchers, analysts, and students, the package facilitates exploration and analysis of data related to health monitoring, physical activity, and rehabilitation.
License: MIT + file LICENSE
URL: https://github.com/alejandrosialer/healthmotionR, https://alejandrosialer.github.io/healthmotionR/
BugReports: https://github.com/alejandrosialer/healthmotionR/issues
Encoding: UTF-8
Suggests: ggplot2, dplyr, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-30 01:30:10 UTC; ALEJANDRO SIALER
Author: Oscar Alejandro Sialer Gallo [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-10-06 08:00:08 UTC

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New package adaplots with initial version 0.1.0
Package: adaplots
Title: Ada-Plot and Uda-Plot for Assessing Distributional Attributes and Normality
Version: 0.1.0
Maintainer: Uditha Amarananda Wijesuriya <u.wijesuriya@usi.edu>
Description: The centralized empirical cumulative average deviation function is utilized to develop both Ada-plot and Uda-plot as alternatives to Ad-plot and Ud-plot introduced by the author. Analogous to Ad-plot, Ada-plot can identify symmetry, skewness, and outliers of the data distribution. The Uda-plot is as exceptional as Ud-plot in assessing normality. The d-value that quantifies the degree of proximity between the Uda-plot and the graph of the estimated normal density function helps guide to make decisions on confirmation of normality. Extreme values in the data can be eliminated using the 1.5IQR rule to create its robust version if user demands. Full description of the methodology can be found in the article by Wijesuriya (2025a) <doi:10.1080/03610926.2025.2558108>. Further, the development of Ad-plot and Ud-plot is contained in both article and the 'adplots' R package by Wijesuriya (2025b & 2025c) <doi:10.1080/03610926.2024.2440583> and <doi:10.32614/CRAN.package.adplots [...truncated...]
License: GPL-3
Encoding: UTF-8
Imports: ggplot2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-29 13:16:20 UTC; uwijesuriy
Author: Uditha Amarananda Wijesuriya [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-06 08:00:14 UTC

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New package minter with initial version 0.1.0
Package: minter
Title: Effect Sizes for Meta-Analysis of Interactions from Factorial Experiments
Version: 0.1.0
Description: Compute effect sizes and their sampling variances from factorial experimental designs. The package supports calculation of simple effects, overall effects, and interaction effects for use in factorial meta-analyses. See Gurevitch et al. (2000) <doi:10.1086/303337>, Morris et al. (2007) <doi:10.1890/06-0442>, Lajeunesse (2011) <doi:10.1890/11-0423.1> and Macartney et al. (2022) <doi:10.1016/j.neubiorev.2022.104554>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://fdecunta.github.io/minter/
BugReports: https://github.com/fdecunta/minter/issues
Imports: checkmate
Depends: R (>= 3.5)
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-09 14:35:41 UTC; fdecunta
Author: Facundo Decunta [aut, cre] , Shinichi Nakagawa [ctb], Daniel Noble [ctb]
Maintainer: Facundo Decunta <fdecunta@agro.uba.ar>
Repository: CRAN
Date/Publication: 2025-10-06 06:00:02 UTC

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New package gageRR with initial version 0.1.0
Package: gageRR
Title: Calculate Gauge Repeatability and Reproducibility
Version: 0.1.0
Description: Procedures for calculating variance components, study variation, percent study variation, and percent tolerance for gauge repeatability and reproducibility study. Methods included are ANOVA and Average / Range methods. Requires balanced study.
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), readxl, shiny
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-29 10:55:39 UTC; warre
Author: Jonah Warren [aut, cre]
Maintainer: Jonah Warren <warren.jonahb@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-06 06:00:08 UTC

More information about gageRR at CRAN
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Fri, 03 Oct 2025

New package BioMoR with initial version 0.1.0
Package: BioMoR
Title: Bioinformatics Modeling with Recursion and Autoencoder-Based Ensemble
Version: 0.1.0
Description: Tools for bioinformatics modeling using recursive transformer-inspired architectures, autoencoders, random forests, XGBoost, and stacked ensemble models. Includes utilities for cross-validation, calibration, benchmarking, and threshold optimization in predictive modeling workflows. The methodology builds on ensemble learning (Breiman 2001 <doi:10.1023/A:1010933404324>), gradient boosting (Chen and Guestrin 2016 <doi:10.1145/2939672.2939785>), autoencoders (Hinton and Salakhutdinov 2006 <doi:10.1126/science.1127647>), and recursive transformer efficiency approaches such as Mixture-of-Recursions (Bae et al. 2025 <doi:10.48550/arXiv.2507.10524>).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: caret, recipes, themis, xgboost, magrittr, dplyr, pROC
Suggests: randomForest, testthat (>= 3.0.0), PRROC, ggplot2, purrr, tibble, yardstick, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-27 09:30:29 UTC; apple
Author: MD. Arshad [aut, cre]
Maintainer: MD. Arshad <arshad10867c@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-03 13:50:02 UTC

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New package adcontabil with initial version 1.0.4
Package: adcontabil
Version: 1.0.4
Title: Accounting Analysis
Description: Provides methods for processing corporate balance sheets with a focus on the Brazilian reporting format. Includes data standardization, classification by accounting categories, and aggregation of values. Supports accounting and financial analyses of companies, improving efficiency and ensuring reproducibility of empirical studies.
License: MIT + file LICENSE
URL: https://github.com/LissandroSousa/adcontabil.R
BugReports: https://github.com/LissandroSousa/adcontabil.R/issues
Imports: dplyr, magrittr, stringi, data.table
Encoding: UTF-8
NeedsCompilation: no
Depends: R (>= 4.1.0)
Packaged: 2025-09-26 22:39:29 UTC; USER
Author: Lissandro Costa de Sousa [cre, aut], Francisco Gildemir Ferreira da Silva [ths, aut]
Maintainer: Lissandro Costa de Sousa <lisandrosousa54@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-03 13:10:02 UTC

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New package topologyR with initial version 0.1.1
Package: topologyR
Title: Topological Connectivity Analysis for Numeric Data
Version: 0.1.1
Description: Description: Implementation of topological data analysis methods based on graph-theoretic approaches for discovering topological structures in data. The core algorithm constructs topological spaces from graphs following Nada et al. (2018) <doi:10.1002/mma.5096> "New types of topological structures via graphs".
License: MIT + file LICENSE
URL: https://github.com/IsadoreNabi/topologyR
BugReports: https://github.com/IsadoreNabi/topologyR/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: ggplot2, stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-09-26 02:18:30 UTC; ROG
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>
Repository: CRAN
Date/Publication: 2025-10-03 12:20:02 UTC

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New package CORPlot with initial version 1.0.2
Package: CORPlot
Title: Cumulative Odds Ratio Plot
Version: 1.0.2
Description: Create cumulative odds ratio plot to visually inspect the proportional odds assumption from the proportional odds model.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/Yongxi-Long/CORPlot
BugReports: https://github.com/Yongxi-Long/CORPlot/issues
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.5)
LazyData: true
Imports: ggplot2, knitr, stats, VGAM
NeedsCompilation: no
Packaged: 2025-09-26 14:25:18 UTC; ylong
Author: Yongxi Long [aut, cre, cph]
Maintainer: Yongxi Long <y.long@lumc.nl>
Repository: CRAN
Date/Publication: 2025-10-03 12:50:02 UTC

More information about CORPlot at CRAN
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Wed, 01 Oct 2025

New package plotlsirm with initial version 0.1.3
Package: plotlsirm
Title: Plot Toolkit for Latent Space Item Response Models
Version: 0.1.3
Description: Provides publication‑quality and interactive plots for exploring the posterior output of Latent Space Item Response Models, including Posterior Interaction Profiles, radar charts, 2‑D latent maps, and item‑similarity heat maps. The methods implemented in this package are based on work by Jeon, M., Jin, I. H., Schweinberger, M., Baugh, S. (2021) <doi:10.1007/s11336-021-09762-5>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.4), rlang, dplyr, tidyr, patchwork, scales, grid
Suggests: plotly, testthat (>= 3.0.0), spelling
URL: https://github.com/jevanluo/plotlsirm
BugReports: https://github.com/jevanluo/plotlsirm/issues
Author: Jinwen Luo [aut, cre] , Minjeong Jeon [aut]
Maintainer: Jinwen Luo <jevanluo@ucla.edu>
NeedsCompilation: no
Packaged: 2025-09-24 20:18:55 UTC; jevan
Repository: CRAN
Date/Publication: 2025-10-01 07:10:02 UTC

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New package PhytoIn with initial version 0.2.0
Package: PhytoIn
Title: Vegetation Analysis and Forest Inventory
Version: 0.2.0
Description: Provides functions and example datasets for phytosociological analysis, forest inventory, biomass and carbon estimation, and visualization of vegetation data. Includes functions to compute structural parameters [phytoparam(), summary.param(), stats()], estimate above-ground biomass and carbon [AGB()], stratify wood volume by diameter at breast height (DBH) classes [stratvol()], generate collector and rarefaction curves [collector.curve(), rarefaction()], and visualize basal areas on quadrat maps [BAplot(), including rectangular plots and individual coordinates]. Several example datasets are provided to demonstrate the functionality of these tools. For more details see FAO (1981, ISBN:92-5-101132-X) "Manual of forest inventory", IBGE (2012, ISBN:9788524042720) "Manual técnico da vegetação brasileira" and Heringer et al. (2020) "Phytosociology in R: A routine to estimate phytosociological parameters" <doi:10.22533/at.ed.3552009033>.
Depends: R (>= 3.5.0)
Imports: ggplot2, ggforce, packcircles, BIOMASS, scales, utils, stats
Suggests: httr2, spelling
License: GPL-3
URL: https://github.com/PhytoIn/PhytoIn
BugReports: https://github.com/PhytoIn/PhytoIn/issues
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-24 17:21:04 UTC; raspe
Author: Rodrigo Augusto Santinelo Pereira [aut, cre]
Maintainer: Rodrigo Augusto Santinelo Pereira <raspereira@usp.br>
Repository: CRAN
Date/Publication: 2025-10-01 07:10:13 UTC

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New package LePage with initial version 1.0
Package: LePage
Title: LePage Type Tests
Version: 1.0
Date: 2025-09-25
Author: Michail Tsagris [aut, cre], Abid Hussain [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Rfast, stats
Suggests: Rfast2
Description: Location and scale hypothesis testing using the LePage test and variants of its as proposed by Hussain A. and Tsagris M. (2025), <doi:10.48550/arXiv.2509.19126>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-09-25 05:27:59 UTC; mtsag
Repository: CRAN
Date/Publication: 2025-10-01 07:30:09 UTC

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New package ExtendedABSurvTDC with initial version 0.1.0
Package: ExtendedABSurvTDC
Title: Survival Analysis using Indicators under Time Dependent Covariates
Version: 0.1.0
Author: Dr. Himadri Ghosh [aut, cre], Mr. Saikath Das [aut], Dr. Md Yeasin [aut], Dr. Debopam Rakshit [aut]
Maintainer: Dr. Himadri Ghosh <hghosh@gmail.com>
Description: Survival analysis is employed to model time-to-event data. This package examines the relationship between survival and one or more predictors, termed as covariates, which can include both treatment variables (e.g., season of birth, represented by indicator functions) and continuous variables. To this end, the Cox-proportional hazard (Cox-PH) model, introduced by Cox in 1972, is a widely applicable and commonly used method for survival analysis. This package enables the estimation of the effect of randomization for the treatment variable to account for potential confounders, providing adjustment when estimating the association with exposure. It accommodates both fixed and time-dependent covariates and computes survival probabilities for lactation periods in dairy animals. The package is built upon the algorithm developed by Klein and Moeschberger (2003) <DOI:10.1007/b97377>.
License: GPL-3
Encoding: UTF-8
Imports: stats, survival, readxl
NeedsCompilation: no
Packaged: 2025-09-24 13:21:56 UTC; YEASIN
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-10-01 07:10:18 UTC

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New package EpiPvr with initial version 0.0.1
Package: EpiPvr
Title: Estimating Plant Pathogen Epidemiology Parameters from Laboratory Assays
Version: 0.0.1
Description: Provides functions for estimating plant pathogen parameters from access period (AP) experiments. Separate functions are implemented for semi-persistently transmitted (SPT) and persistently transmitted (PT) pathogens. The common AP experiment exposes insect cohorts to infected source plants, healthy test plants, and intermediate plants (for PT pathogens). The package allows estimation of acquisition and inoculation rates during feeding, recovery rates, and latent progression rates (for PT pathogens). Additional functions support inference of epidemic risk from pathogen and local parameters, and also simulate AP experiment data. The functions implement probability models for epidemiological analysis, as derived in Donnelly et al. (2025), <doi:10.32942/X29K9P>. These models were originally implemented in the 'EpiPv' 'GitHub' package.
License: GPL-3
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.5)
Imports: methods, stats, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.5.0), posterior
Suggests: bayesplot, knitr, rmarkdown, testthat (>= 3.0.0), ggplot2
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
VignetteBuilder: knitr
URL: https://CRAN.R-project.org/package=EpiPvr
LazyData: true
NeedsCompilation: yes
Packaged: 2025-09-25 00:22:14 UTC; ruair
Author: Ruairi Donnelly [aut, cre, cph]
Maintainer: Ruairi Donnelly <rd501@cam.ac.uk>
Repository: CRAN
Date/Publication: 2025-10-01 07:30:14 UTC

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New package descsuppR with initial version 1.2
Package: descsuppR
Version: 1.2
License: GPL-3
Title: Support Functions for (Reproducible) Descriptive Statistics
Description: Contains functions to help with generating tables with descriptive statistics. In addition, the package can display results of statistical tests for group comparisons. A wide range of test procedures is supported, and user-defined test functions can be incorporated.
Depends: foreach
Imports: plyr, descutils, tibble, dplyr, rlang, DescTools, nparcomp, rankFD, circular, glue, purrr
Suggests: roxygen2, survival, stringr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-24 18:38:18 UTC; kueck2
Author: Andreas Leha [aut], Fabian Kueck [aut, cre]
Maintainer: Fabian Kueck <fabian.kueck@med.uni-goettingen.de>
Repository: CRAN
Date/Publication: 2025-10-01 07:10:08 UTC

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New package bakerrr with initial version 0.1.0
Package: bakerrr
Title: Background-Parallel Jobs
Version: 0.1.0
Description: Easily launch, track, and control functions as background-parallel jobs. Includes robust utilities for job status, error handling, resource monitoring, and result collection. Designed for scalable workflows in interactive and automated settings (local or remote). Integrates with multiple backends; supports flexible automation pipelines and live job tracking. For more information, see <https://anirbanshaw24.github.io/bakerrr/>.
License: MIT + file LICENSE
URL: https://github.com/anirbanshaw24/bakerrr
BugReports: https://github.com/anirbanshaw24/bakerrr/issues
Depends: R (>= 4.1.0)
Imports: callr, carrier, cli, config, fs, glue, mirai, purrr, S7
Suggests: covr, DT, htmltools, knitr, lintr, qpdf, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-25 10:40:26 UTC; shawa11
Author: Anirban Shaw [aut, cre]
Maintainer: Anirban Shaw <anirbanshaw24@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-01 07:40:02 UTC

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New package readepi with initial version 1.0.1
Package: readepi
Title: Read Data from Relational Database Management Systems and Health Information Systems
Version: 1.0.1
Description: Import Data from Relational Database Management Systems (RDBMS) and Health Information Systems ('HIS'). The current version of the package supports importing data from RDBMS including 'MS SQL', 'MySQL', 'PostGRESQL', and 'SQLite', as well as from two HIS platforms: 'DHIS2' and 'SORMAS'.
License: MIT + file LICENSE
URL: https://epiverse-trace.github.io/readepi/, https://github.com/epiverse-trace/readepi/, https://github.com/epiverse-trace/readepi
BugReports: https://github.com/epiverse-trace/readepi/issues
Depends: R (>= 4.1.0)
Imports: checkmate, cli, DBI, dplyr, httr2, odbc, pool, purrr, RMySQL, RSQLite, tidyr
Suggests: cyclocomp, DiagrammeR, httptest, kableExtra, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
SystemRequirements: odbc, libmariadbclient-dev
NeedsCompilation: no
Packaged: 2025-09-24 13:08:48 UTC; karimmane
Author: Karim Mane [aut, cre, cph] , Emmanuel Kabuga [ctb] , Bubacarr Bah [ctb] , Bankole Ahadzie [ctb], Nuredin Mohammed [ctb], Abdoelnaser Degoot [ctb], Hugo Gruson [rev] , Pratik Gupte [rev] , Andree Valle-Campos [rev] , London School of Hygiene and Tropi [...truncated...]
Maintainer: Karim Mane <karim.mane@lshtm.ac.uk>
Repository: CRAN
Date/Publication: 2025-10-01 07:00:02 UTC

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New package FDOTT with initial version 0.1.0
Package: FDOTT
Title: Optimal Transport Based Testing in Factorial Design
Version: 0.1.0
Date: 2025-09-24
Description: Perform optimal transport based tests in factorial designs as introduced in Groppe et al. (2025) <doi:10.48550/arXiv.2509.13970> via the FDOTT() function. These tests are inspired by ANOVA and its nonparametric counterparts. They allow for testing linear relationships in factorial designs between finitely supported probability measures on a metric space. Such relationships include equality of all measures (no treatment effect), interaction effects between a number of factors, as well as main and simple factor effects.
License: GPL (>= 3)
Imports: Rcpp (>= 1.0.12), ROI, future.apply, progressr, transport, slam, rrapply, stats, methods
Depends: R (>= 4.1)
Suggests: ROI.plugin.glpk, future
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-09-24 13:04:29 UTC; mgroppe
Author: Michel Groppe [aut, cre], Linus Niemoeller [aut]
Maintainer: Michel Groppe <michel.groppe@uni-goettingen.de>
Repository: CRAN
Date/Publication: 2025-10-01 07:00:20 UTC

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New package eDNAfuns with initial version 0.1.0
Package: eDNAfuns
Title: Working with Metabarcoding Data in a Tidy Format
Version: 0.1.0
Description: A series of R functions that come in handy while working with metabarcoding data. The reasoning of doing this is to have the same functions we use all the time stored in a curated, reproducible way. In a way it is all about putting together the grammar of the 'tidyverse' from Wickham et al.(2019) <doi:10.21105/joss.01686> with the functions we have used in community ecology compiled in packages like 'vegan' from Dixon (2003) <doi:10.1111/j.1654-1103.2003.tb02228.x> and 'phyloseq' McMurdie & Holmes (2013) <doi:10.1371/journal.pone.0061217>. The package includes functions to read sequences from FAST(A/Q) into a tibble ('fasta_reader' and 'fastq_reader'), to process 'cutadapt' Martin (2011) <doi:10.14806/ej.17.1.200> 'info-file' output. When it comes to sequence counts across samples, the package works with the long format in mind (a three column 'tibble' with Sample, Sequence and counts ), with functions to move from there to the wider format.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: insect, testthat, tidyverse, knitr, rmarkdown
Imports: dplyr, googlesheets4, phyloseq, purrr, rlang, tibble, tidyr, vegan, ggplot2, vroom, Biostrings, stringr, tidyselect, readr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-09-24 10:08:22 UTC; RG.5015511
Author: Ramon Gallego Simon [aut, cre]
Maintainer: Ramon Gallego Simon <ramongallego@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-01 07:00:09 UTC

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New package boxTest with initial version 0.1.0
Package: boxTest
Title: Boxplot and Significance Test for Two Groups
Version: 0.1.0
Description: Provides functions to create side-by-side boxplots for a continuous variable grouped by a two-level categorical variable, check normality assumptions using the Shapiro-Wilk test (Shapiro and Wilk (1965) <doi:10.2307/2333709>), and perform appropriate statistical tests such as the independent two-sample t-test (Student (1908) <doi:10.1093/biomet/6.1.1>) or the Mann–Whitney U test ( Mann–Whitney (1947) <doi:10.1214/aoms/1177730491>). Returns a publication-ready plot and test statistics including test statistic, degrees of freedom, and p-value.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2, dplyr, stats, rlang
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-24 11:39:52 UTC; arka
Author: Arkaprabha Sau [aut, cre], Santanu Phadikar [aut], Ishita Bhakta [aut]
Maintainer: Arkaprabha Sau <arka.doctor@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-01 07:00:16 UTC

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New package BlockwiseRankTest with initial version 0.1.0
Package: BlockwiseRankTest
Title: Block-Wise Rank in Similarity Graph Edge-Count Two-Sample Test (BRISE)
Version: 0.1.0
Maintainer: Kejian Zhang <kejianzhang@u.nus.edu>
Description: Implements the Block-wise Rank in Similarity Graph Edge-count test (BRISE), a rank-based two-sample test designed for block-wise missing data. The method constructs (pattern) pair-wise similarity graphs and derives quadratic test statistics with asymptotic chi-square distribution or permutation-based p-values. It provides both vectorized and congregated versions for flexible inference. The methodology is described in Zhang, Liang, Maile, and Zhou (2025) <doi:10.48550/arXiv.2508.17411>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-09-24 10:54:58 UTC; keenov
Author: Kejian Zhang [aut, cre], Doudou Zhou [aut]
Repository: CRAN
Date/Publication: 2025-10-01 07:00:26 UTC

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Tue, 30 Sep 2025

New package torchMAUM with initial version 2025.7.30
Package: torchMAUM
Title: Multi-Class Area Under the Minimum in Torch
Version: 2025.7.30
Encoding: UTF-8
Description: Torch code for computing multi-class Area Under The Minimum, <https://www.jmlr.org/papers/v24/21-0751.html>, Generalization. Useful for optimizing Area under the curve.
License: LGPL-3
URL: https://github.com/OGuenoun/torchMAUM
BugReports: https://github.com/OGuenoun/torchMAUM/issues
Imports: torch, ggplot2, data.table
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-21 15:36:55 UTC; nou-z
Author: Omar Guenoun [aut, cre]
Maintainer: Omar Guenoun <omargue31@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-30 16:00:02 UTC

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New package writeAlizer with initial version 1.6.4
Package: writeAlizer
Title: Generate Predicted Writing Quality Scores
Version: 1.6.4
Date: 2025-09-23
Description: Imports variables from 'ReaderBench' (Dascalu et al., 2018)<doi:10.1007/978-3-319-66610-5_48>, 'Coh-Metrix' (McNamara et al., 2014)<doi:10.1017/CBO9780511894664>, and/or 'GAMET' (Crossley et al., 2019) <doi:10.17239/jowr-2019.11.02.01> output files; downloads predictive scoring models described in Mercer & Cannon (2022)<doi:10.31244/jero.2022.01.03> and Mercer et al.(2021)<doi:10.1177/0829573520987753>; and generates predicted writing quality and curriculum-based measurement (McMaster & Espin, 2007)<doi:10.1177/00224669070410020301> scores.
License: GPL-3
URL: https://github.com/shmercer/writeAlizer/
BugReports: https://github.com/shmercer/writeAlizer/issues
Depends: R (>= 2.10)
Imports: caret, digest, dplyr, glue, magrittr, stats, tidyselect, utils
Suggests: caretEnsemble, Cubist, earth, gbm, glmnet, kernlab, pls, randomForest, testthat (>= 3.1.0), withr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-23 18:59:25 UTC; shmer
Author: Sterett H. Mercer [aut, cre]
Maintainer: Sterett H. Mercer <sterett.mercer@ubc.ca>
Repository: CRAN
Date/Publication: 2025-09-30 08:40:02 UTC

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New package TwoDcDAPSA with initial version 0.1.0
Package: TwoDcDAPSA
Title: Calculate TwoDcDAPSA: PROs-Joint Contrast (PJC) Score and Quartiles
Version: 0.1.0
Description: Provides a calculator for the two-dimensional clinical Disease Activity index for Psoriatic Arthritis (TwoDcDAPSA), a principal component-derived measure that complements the conventional clinical DAPSA score. The TwoDcDAPSA captures residual variation in patient-reported outcomes (pain and patient global assessment) and joint counts (swollen and tender) after adjusting for standardized cDAPSA using natural spline coefficients derived from published models. Residuals are standardized and combined with fixed principal component loadings to yield a continuous PROs-Joint Contrast (PJC) score and quartile groupings. The package applies pre-specified coefficients and loadings to new datasets but does not estimate spline models or principal components itself.
License: MIT + file LICENSE
Depends: R (>= 3.6)
Imports: dplyr, splines, rlang
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-23 19:26:21 UTC; nmeng2
Author: Ning Meng [aut, cre], Ji Soo Kim [aut], Ana-Maria Orbai [aut], Scott L. Zeger [aut]
Maintainer: Ning Meng <nmeng2@jh.edu>
Repository: CRAN
Date/Publication: 2025-09-30 08:40:08 UTC

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New package twbparser with initial version 0.2.3
Package: twbparser
Title: Parse 'Tableau' Workbooks into Functional Data
Version: 0.2.3
Description: High-performance parsing of 'Tableau' workbook files into tidy data frames and dependency graphs for other visualization tools like R 'Shiny' or 'Power BI' replication.
License: MIT + file LICENSE
URL: https://prigasg.github.io/twbparser/, https://github.com/PrigasG/twbparser
BugReports: https://github.com/PrigasG/twbparser/issues
Depends: R (>= 4.2.0)
Imports: dplyr, igraph, purrr, R6, rlang, stringr, tibble, tidyr, withr, xml2
Suggests: cli, covr, ggraph, knitr, lintr, magrittr, optparse, rmarkdown, spelling, styler, testthat (>= 3.0.0), tidygraph, vctrs, zip
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-23 16:26:11 UTC; garthur
Author: George Arthur [aut, cre]
Maintainer: George Arthur <prigasgenthian48@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-30 08:30:02 UTC

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New package tidyusmacro with initial version 0.1.0
Package: tidyusmacro
Title: Downloading and Cleaning U.S. Macroeconomic Data
Version: 0.1.0
Description: Utilities to retrieve and tidy U.S. macroeconomic data series from public government data providers. Functions streamline access to series from the Federal Reserve Bank of St. Louis Federal Reserve Economic Data (FRED), the Bureau of Labor Statistics flat files, and the Bureau of Economic Analysis National Income and Product Accounts tables, then return consistent, tidy data frames ready for modeling and graphics. The package includes helpers for date alignment, log-linear projections, and common macro diagnostics, along with convenience plot builders for quick publication-quality charts.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
LazyData: true
Imports: dplyr, ggplot2, magrittr, purrr, readr, rlang, stringi, tidyr
NeedsCompilation: no
Packaged: 2025-09-24 03:37:40 UTC; mtkonczal
Author: Mike Konczal [aut, cre]
Maintainer: Mike Konczal <konczal@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-30 08:50:02 UTC

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New package streamsampler with initial version 0.1.0
Package: streamsampler
Title: Characterize and Subsample Stream Data
Version: 0.1.0
Description: Characterize daily stream discharge and water quality data and subsample water quality data. Provide dates, discharge, and water quality measurements and 'streamsampler' can find gaps, get summary statistics, and subsample according to common stream sampling protocols. Stream sampling protocols are described in Lee et al. (2016) <doi:10.1016/j.jhydrol.2016.08.059> and Lee et al. (2019) <doi:10.3133/sir20195084>.
License: CC0
URL: https://github.com/Kyle-Hurley/streamsampler
BugReports: https://github.com/Kyle-Hurley/streamsampler/issues
Encoding: UTF-8
Suggests: dataRetrieval (>= 2.7.16), knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.1)
LazyData: true
Imports: slider (>= 0.3.1), stats
VignetteBuilder: knitr
Copyright: This software is in the public domain because it contains materials that originally came from the United States Geological Survey, an agency of the United States Department of Interior. For more information, see the official USGS copyright policy at https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits
NeedsCompilation: no
Packaged: 2025-09-23 12:25:18 UTC; kphur
Author: Kyle Hurley [aut, cre, cph] , Jeff Chanat [aut]
Maintainer: Kyle Hurley <kp.hurley87@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-30 08:30:09 UTC

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New package splineplot with initial version 0.1.1
Package: splineplot
Title: Visualization of Spline Effects in GAM and GLM Models
Version: 0.1.1
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>
Description: Creates 'ggplot2'-based visualizations of smooth effects from GAM (Generalized Additive Models) fitted with 'mgcv' and spline effects from GLM (Generalized Linear Models). Supports interaction terms and provides hazard ratio plots with histograms for survival analysis. Wood (2017, ISBN:9781498728331) provides comprehensive methodology for generalized additive models.
License: Apache License 2.0
Encoding: UTF-8
Imports: ggplot2 (>= 3.0.0), stats
Suggests: mgcv, survival, splines, testthat (>= 3.0.0), knitr, rmarkdown, covr, pkgdown
VignetteBuilder: knitr
URL: https://github.com/jinseob2kim/splineplot, https://jinseob2kim.github.io/splineplot/
BugReports: https://github.com/jinseob2kim/splineplot/issues
NeedsCompilation: no
Packaged: 2025-09-23 15:09:22 UTC; js
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd]
Repository: CRAN
Date/Publication: 2025-09-30 08:30:14 UTC

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New package SFHNV with initial version 0.1.0
Package: SFHNV
Title: Structural Forest for the Heterogeneous Newsvendor Model
Version: 0.1.0
Description: Implements the structural forest methodology for the heterogeneous newsvendor model. The package provides tools to prepare data, fit honest newsvendor trees and forests, and obtain point and distributional predictions for demand decisions under uncertainty.
URL: https://github.com/MurphyLiCN/SFHNV
License: MIT + file LICENSE
Depends: R (>= 3.6)
Imports: stats
Suggests: future.apply, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-22 01:56:31 UTC; murphy
Author: Mengfei Li [aut, cre]
Maintainer: Mengfei Li <murphy.li.cn@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-30 08:50:14 UTC

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New package powergrid with initial version 0.5.0
Package: powergrid
Title: Power Analysis Across a Grid of Assumptions
Version: 0.5.0
Description: Evaluate a function across a grid of parameters. The function may be evaluated once, or many times for simulation. Parallel computing is facilitated. Utilities aim at performing analyses of power and sample size, allowing for easy search of minimum n (or min/max of any other parameter) to achieve a desired minimal level of power (or maximum of any other objective). Plotting functions are included that present the dependency of n and power in relation to further assumptions.
License: GPL-3
Encoding: UTF-8
Suggests: future.apply (>= 1.11.2), future (>= 1.33.2), knitr, rmarkdown, testthat (>= 3.0.0)
Imports: stats, methods
VignetteBuilder: knitr
URL: https://github.com/SwissClinicalTrialOrganisation/powergrid
BugReports: https://github.com/SwissClinicalTrialOrganisation/powergrid/issues
NeedsCompilation: no
Packaged: 2025-09-23 09:57:22 UTC; gilles
Author: Gilles Dutilh [aut, cre] , Richard Charles Allen [aut]
Maintainer: Gilles Dutilh <info@gillesdutilh.com>
Repository: CRAN
Date/Publication: 2025-09-30 08:20:02 UTC

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New package houba with initial version 0.1.0
Package: houba
Title: Manipulation of (Large) Memory-Mapped Objects (Vectors, Matrices and Arrays)
Version: 0.1.0
Date: 2025-09-17
Maintainer: Herve Perdry <herve.perdry@universite-paris-saclay.fr>
Description: Manipulate data through memory-mapped files, as vectors, matrices or arrays. Basic arithmetic functions are implemented, but currently no matrix arithmetic. Can write and read descriptor files for compatibility with the 'bigmemory' package.
License: CeCILL-2
Encoding: UTF-8
Depends: methods
Imports: Rcpp (>= 1.0.11)
Suggests: knitr, bigmemory
VignetteBuilder: knitr
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2025-09-23 12:44:45 UTC; rv
Author: Herve Perdry [aut, cre], Juliette Meyniel [aut]
Repository: CRAN
Date/Publication: 2025-09-30 08:30:20 UTC

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New package blox with initial version 0.0.1
Package: blox
Title: Block Diagonal Matrix Approximation
Version: 0.0.1
Maintainer: Jan O. Bauer <j.bauer@vu.nl>
Description: Finds the best block diagonal matrix approximation of a symmetric matrix. This can be exploited for divisive hierarchical clustering using singular vectors, named HC-SVD. The method is described in Bauer (202Xa) <doi:10.48550/arXiv.2308.06820>.
License: GPL (>= 2)
Imports: matrixStats, Rcpp, RcppArmadillo
Encoding: UTF-8
Suggests: corrplot, knitr, psych, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2025-09-24 09:00:39 UTC; jan
Author: Jan O. Bauer [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-30 09:00:13 UTC

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New package ZIDW with initial version 0.1.0
Package: ZIDW
Version: 0.1.0
Date: 2025-09-22
Title: Zero-Inflated Discrete Weibull Models
Depends: R (>= 4.1.0)
Imports: DWreg, actuar, maxLik, COUNT, gtools, matrixcalc, DiscreteWeibull, dplyr, ggplot2, purrr, tibble
URL: https://github.com/dsy109/ZIDW
Description: Parameter estimation for zero-inflated discrete Weibull (ZIDW) regression models, the univariate setting, distribution functions, functions to generate randomized quantile residuals a pseudo R2, and plotting of rootograms. For more details, see Kalktawi (2017) <https://bura.brunel.ac.uk/handle/2438/14476>, Taconeli and Rodrigues de Lara (2022) <doi:10.1080/00949655.2021.2005597>, and Yeh and Young (2025) <doi:10.1080/03610918.2025.2464076>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-09-22 16:02:02 UTC; derekyoung
Author: Peng Yeh [aut], Derek S. Young [aut, cre]
Maintainer: Derek S. Young <derek.young@uky.edu>
Repository: CRAN
Date/Publication: 2025-09-30 07:20:22 UTC

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New package rcldf with initial version 1.5.1
Package: rcldf
Title: Read Linguistic Data in the Cross Linguistic Data Format (CLDF)
Version: 1.5.1
Maintainer: Simon J. Greenhill <simon@simon.net.nz>
Description: Cross-Linguistic Data Format (CLDF) is a framework for storing cross-linguistic data, ensuring compatibility and ease of data exchange between different linguistic datasets see Forkel et al. (2018) <doi:10.1038/sdata.2018.205>. The 'rcldf' package is designed to facilitate the manipulation and analysis of these datasets by simplifying the loading, querying, and visualisation of CLDF datasets making it easier to conduct comparative linguistic analyses, manage language data, and apply statistical methods directly within R.
License: Apache License (>= 2.0)
Encoding: UTF-8
Imports: archive, bib2df (>= 1.1.1), csvwr, digest, dplyr, jsonlite, logger, magrittr, purrr, readr, remotes, rlang, tools, urltools, utils
Suggests: ggplot2, patchwork, testthat, mockthat, spelling, covr, knitr, rmarkdown, qpdf
URL: https://github.com/SimonGreenhill/rcldf
BugReports: https://github.com/SimonGreenhill/rcldf/issues
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-22 08:05:55 UTC; simon
Author: Simon J. Greenhill [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-30 07:20:02 UTC

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New package radviz3d with initial version 2.3.0
Package: radviz3d
Title: 3D Radial Visualization
Version: 2.3.0
Description: Creating 3D radial visualizations of multivariate data. The package extends traditional radial coordinate visualization (RadViz) techniques to three-dimensional space, enabling enhanced exploration and analysis of high-dimensional datasets through interactive 3D plots. Zhu, Dai & Maitra (2022) <doi:10.1080/10618600.2021.2020129>.
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: rgl (>= 0.100.19)
Suggests: MixSim, gtools
Author: Yifan Zhu [cre, aut], Fan Dai [aut], Ranjan Maitra [aut], Niraj Kunwar [aut], Gani Agadilov [aut]
Maintainer: Yifan Zhu <yifanzhu@iastate.edu>
NeedsCompilation: no
Packaged: 2025-09-23 07:12:54 UTC; yifanzhu
Repository: CRAN
Date/Publication: 2025-09-30 07:50:02 UTC

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New package OmopConstructor with initial version 0.1.0
Package: OmopConstructor
Title: Build Tables in the OMOP Common Data Model
Version: 0.1.0
Description: Provides functionality to construct standardised tables from health care data formatted according to the Observational Medical Outcomes Partnership (OMOP) Common Data Model. The package includes tools to build key tables such as observation period and drug era, among others.
License: Apache License (>= 2)
Encoding: UTF-8
Imports: cli, clock, dplyr, glue, omopgenerics, PatientProfiles, purrr, rlang, tidyr
Depends: R (>= 4.1)
Suggests: bookdown, CDMConnector, duckdb, ggplot2, gt, knitr, odbc, omock, OmopSketch, rmarkdown, RPostgres, stringr, testthat (>= 3.0.0), visOmopResults
URL: https://ohdsi.github.io/OmopConstructor/
BugReports: https://github.com/ohdsi/OmopConstructor/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-22 19:23:49 UTC; martics
Author: Marti Catala [aut, cre] , Elin Rowlands [ctb] , Cecilia Campanile [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>
Repository: CRAN
Date/Publication: 2025-09-30 07:20:28 UTC

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New package nonParQuantileCausality with initial version 0.1.0
Package: nonParQuantileCausality
Title: Nonparametric Causality in Quantiles Test
Version: 0.1.0
Author: Mehmet Balcilar [aut, cre]
Maintainer: Mehmet Balcilar <mehmet@mbalcilar.net>
Description: Implements the nonparametric causality-in-quantiles test (in mean or variance), returning a test object with an S3 plot() method. The current implementation uses one lag of each series (first-order Granger causality setup). Methodology is based on Balcilar, Gupta, and Pierdzioch (2016a) <doi:10.1016/j.resourpol.2016.04.004> and Balcilar et al. (2016) <doi:10.1007/s11079-016-9388-x>.
License: MIT + file LICENSE
URL: https://www.mbalcilar.net, https://github.com/mbalcilar/nonParQuantileCausality
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
Depends: R (>= 3.6)
Imports: stats, ggplot2, quantreg, KernSmooth
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-22 20:25:08 UTC; mbalcilar
Repository: CRAN
Date/Publication: 2025-09-30 07:20:08 UTC

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New package myownrobs with initial version 0.1.0
Package: myownrobs
Title: AI Coding Agent for 'RStudio'
Version: 0.1.0
Maintainer: Juan Cruz Rodriguez <jcrodriguez@unc.edu.ar>
Description: Provides an 'RStudio' extension with a chat interface for an AI coding agent to help users with R programming tasks.
License: MIT + file LICENSE
URL: https://myownrobs.github.io/myownrobs/, https://github.com/MyOwnRobs/myownrobs
BugReports: https://github.com/MyOwnRobs/myownrobs/issues
Encoding: UTF-8
Imports: fs, gargle, glue, httr2, jsonlite, mirai, rstudio.prefs, rstudioapi, shiny, tools, uuid, yaml
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-22 23:25:27 UTC; jcrodriguez
Author: Juan Cruz Rodriguez [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-30 07:30:02 UTC

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New package mammalcol with initial version 0.2.9
Package: mammalcol
Title: Access to the List of Mammal Species of Colombia
Version: 0.2.9
Date: 2025-09-22
Maintainer: Diego J. Lizcano <dj.lizcano@gmail.com>
Description: The goal of 'mammalcol' is to provide easy access to a meticulously structured dataset of Colombian mammal species in R. The 2025 update includes comprehensive, detailed species accounts, and distribution information.
License: MIT + file LICENSE
URL: https://github.com/dlizcano/mammalcol, https://dlizcano.github.io/mammalcol/
BugReports: https://github.com/dlizcano/mammalcol/issues
Depends: R (>= 3.5.0)
Imports: ggplot2, magrittr, sf, geodata,
Suggests: dplyr, finch, knitr, readr, readxl, rmarkdown, stringr, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-22 16:51:35 UTC; usuario
Author: Diego J. Lizcano [aut, cre] , Cristian A. Cruz-Rodriguez [ctb, aut] , Andres F. Suarez-Castro [ctb, aut] , Baltazar Gonzalez [ctb, aut] , Alejandra Bonilla-Sanchez [ctb] , Camilo A. Calderon-Acevedo [ctb]
Repository: CRAN
Date/Publication: 2025-09-30 07:20:13 UTC

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New package foodwebr with initial version 1.0.0
Package: foodwebr
Title: Visualise Function Dependencies
Version: 1.0.0
Description: Easily create graphs of the inter-relationships between functions in an environment.
License: MIT + file LICENSE
URL: https://lewinfox.com/foodwebr/
BugReports: https://github.com/lewinfox/foodwebr/issues
Imports: cli, crayon, codetools, DiagrammeR, glue, rlang, stringr, tidygraph
Suggests: testthat
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2025-09-23 04:44:26 UTC; lewin
Author: Lewin Appleton-Fox [aut, cre]
Maintainer: Lewin Appleton-Fox <lewin.a.f@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-30 07:30:07 UTC

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New package DyadRatios with initial version 1.2
Package: DyadRatios
Title: Dyad Ratios Algorithm
Version: 1.2
Date: 2025-09-22
Description: Estimates the Dyad Ratios Algorithm for pooling and smoothing poll estimates. The Dyad Ratios Algorithm smooths both forward and backward in time over polling results allowing differences in both question type and polling house. The result is an estimate of a single latent variable that describes the systematic trend over time in the (noisy) polling results. See James A. Stimson (2018) <doi:10.1177/0759106318761614> and the package's vignette for more details.
Depends: R (>= 3.5.0)
Imports: ggplot2, lubridate, stats
License: GPL (>= 2)
Encoding: UTF-8
Suggests: dplyr, rio, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-22 19:06:45 UTC; david
Author: Dave Armstrong [cre], James Stimson [aut]
Maintainer: Dave Armstrong <davearmstrong.ps@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-30 07:20:33 UTC

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New package docorator with initial version 0.5.0
Package: docorator
Title: Docorate (Decorate + Output) Displays
Version: 0.5.0
Description: A framework for creating production outputs. Users can frame a table, listing, or figure with headers and footers and save to an output file. Stores an intermediate 'docorator' object for reproducibility and rendering to multiple output types.
License: Apache License 2.0
Encoding: UTF-8
Imports: gt (>= 0.11.0), rmarkdown, rlang, cli, dplyr, rstudioapi, purrr, stringr, tidyr, lifecycle, png, knitr, withr, quarto
Suggests: rprojroot, testthat (>= 3.0.0), tfrmt, pdftools, ggplot2
VignetteBuilder: knitr
URL: https://GSK-Biostatistics.github.io/docorator/, https://github.com/GSK-Biostatistics/docorator
BugReports: https://github.com/GSK-Biostatistics/docorator/issues
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-09-22 15:38:15 UTC; bkrouse
Author: Becca Krouse [aut, cre], Shannon Haughton [aut], Seongbin Hong [aut], Dragoș Moldovan-Gruenfeld [aut], GlaxoSmithKline Research & Development Limited [cph, fnd]
Maintainer: Becca Krouse <becca.z.krouse@gsk.com>
Repository: CRAN
Date/Publication: 2025-09-30 07:10:02 UTC

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New package coglyphr with initial version 1.0.4
Package: coglyphr
Title: Compute Glyph Centers of Gravity from Image Data
Version: 1.0.4
Description: Computes the center of gravity (COG) of character-like binary images using three different methods. This package provides functions for estimating stroke-based, contour-based, and potential energy-based COG. It is useful for analyzing glyph structure in areas such as visual cognition research and font development. The contour-based method was originally proposed by Kotani et al. (2004) <https://ipsj.ixsq.nii.ac.jp/records/36793> and Kotani (2011) <https://shonan-it.repo.nii.ac.jp/records/2000243>, while the potential energy-based method was introduced by Kotani et al. (2006) <doi:10.11371/iieej.35.296>.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/mutopsy/coglyphr, https://mutopsy.github.io/coglyphr/
BugReports: https://github.com/mutopsy/coglyphr/issues
Depends: R (>= 4.4.0)
Imports: imager, dplyr, sp
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-23 08:57:31 UTC; owner
Author: Hiroyuki Muto [aut, cre]
Maintainer: Hiroyuki Muto <mutopsy@omu.ac.jp>
Repository: CRAN
Date/Publication: 2025-09-30 08:00:11 UTC

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New package captain with initial version 1.1.1
Package: captain
Title: Running 'git' Pre-Commit Hooks
Version: 1.1.1
Description: Git hook scripts are useful for identifying simple issues before submission to code review. 'captain' (hook) is an R package to manage and run git pre-commit hooks.
License: MIT + file LICENSE
URL: https://github.com/alexym1/captain, https://alexym1.github.io/captain/
BugReports: https://github.com/alexym1/captain/issues
Depends: R (>= 4.1.0)
Imports: cli, fs, yaml
Suggests: devtools, covr, knitr, styler, testthat, withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-22 20:22:11 UTC; Admin
Author: Alex Yahiaoui Martinez [aut, cre]
Maintainer: Alex Yahiaoui Martinez <yahiaoui-martinez.alex@outlook.com>
Repository: CRAN
Date/Publication: 2025-09-30 07:20:18 UTC

More information about captain at CRAN
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Mon, 29 Sep 2025

New package whapi with initial version 0.0.2
Package: whapi
Title: R Client for 'whapi.cloud'
Version: 0.0.2
Date: 2025-09-10
Description: Provides an 'R' interface to the 'Whapi' 'API' <https://whapi.cloud>, enabling sending and receiving 'WhatsApp' messages directly from 'R'. Functions include sending text, images, documents, stickers, geographic locations, and interactive messages (buttons and lists). Also includes 'webhook' parsing utilities and channel health checks.
License: MIT + file LICENSE
URL: https://github.com/StrategicProjects/whapi/
BugReports: https://github.com/StrategicProjects/whapi/issues/
Depends: R (>= 4.2.0)
Imports: httr2 (>= 1.0.0), cli (>= 3.6.0), tibble (>= 3.2.0), purrr (>= 1.0.0), stringr (>= 1.5.0), stringi, dplyr, readr, lubridate (>= 1.9.0), jsonlite (>= 1.8.0), mime, openssl
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, pkgdown
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-22 11:21:29 UTC; leite
Author: Andre Leite [aut, cre], Hugo Vaconcelos [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2025-09-29 17:00:02 UTC

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New package SHAPBoost with initial version 1.0.0
Package: SHAPBoost
Title: The SHAPBoost Feature Selection Algorithm
Version: 1.0.0
Description: The implementation of SHAPBoost, a boosting-based feature selection technique that ranks features iteratively based on Shapley values.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: xgboost, SHAPforxgboost, methods, caret, Matrix
Suggests: flare, survival
URL: https://github.com/O-T-O-Z/SHAPBoost-R
BugReports: https://github.com/O-T-O-Z/SHAPBoost-R/issues
NeedsCompilation: no
Packaged: 2025-09-22 09:04:24 UTC; o.t.ozyilmaz
Author: Oemer Tarik Oezyilmaz [aut, cre, cph] , Tamas Szili-Toeroek [aut, cph]
Maintainer: Oemer Tarik Oezyilmaz <o.t.ozyilmaz@umcg.nl>
Repository: CRAN
Date/Publication: 2025-09-29 16:40:02 UTC

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New package BOP2FE with initial version 1.0.3
Package: BOP2FE
Title: Bayesian Optimal Phase II Design with Futility and Efficacy Stopping Boundaries
Version: 1.0.3
Description: Bayesian optimal design with futility and efficacy stopping boundaries (BOP2-FE) is a novel statistical framework for single-arm Phase II clinical trials. It enables early termination for efficacy when interim data are promising, while explicitly controlling Type I and Type II error rates. The design supports a variety of endpoint structures, including single binary endpoints, nested endpoints, co-primary endpoints, and joint monitoring of efficacy and toxicity. The package provides tools for enumerating stopping boundaries prior to trial initiation and for conducting simulation studies to evaluate the design’s operating characteristics. Users can flexibly specify design parameters to suit their specific applications. For methodological details, refer to Xu et al. (2025) <doi:10.1080/10543406.2025.2558142>.
BugReports: https://github.com/belayb/BOP2FE/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: gridExtra, patchwork, ggplot2, stats, utils
Suggests: spelling
Language: en-US
URL: https://github.com/belayb/BOP2FE
NeedsCompilation: no
Packaged: 2025-09-22 09:45:47 UTC; A4044038
Author: Belay Birlie Yimer [aut, cre], Xinling Xu [aut], Atsuki Hashimoto [aut], Gosuke Homma [aut], Kentaro Takeda [aut]
Maintainer: Belay Birlie Yimer <belayabyimer@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-29 16:40:07 UTC

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Sat, 27 Sep 2025

New package spuriouscorrelations with initial version 0.1
Package: spuriouscorrelations
Title: Datasets with Strong and Spurious Correlations
Version: 0.1
Description: Provides datasets from Vigen (2015) <https://web.archive.org/web/20230607181247/https%3A/tylervigen.com/spurious-correlations> rescued from the Internet Wayback Machine. These should be preserved for statistics introductory courses as these make it very clear that correlation is not causation.
License: CC0
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-21 13:40:21 UTC; pacha
Author: Tyler Vigen [cph], Mauricio Vargas Sepulveda [aut, cre]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-27 08:30:02 UTC

More information about spuriouscorrelations at CRAN
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New package ppks with initial version 1.0
Package: ppks
Title: Permutation Based Paired Kolmogorov-Smirnov Test
Version: 1.0
Date: 2025-09-21
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Rfast, stats
Suggests: Rfast2
Description: Permutation based Kolmogorov-Smirnov test for paired samples. The test was proposed by Wang W.S., Amsler C. and Schmidt, P. (2025) <doi:10.1007/s00181-025-02779-0>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-09-21 08:34:58 UTC; mtsag
Repository: CRAN
Date/Publication: 2025-09-27 08:20:02 UTC

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New package DEmixR with initial version 0.1.1
Package: DEmixR
Title: Fit Two-Component Normal and Lognormal Mixture Models
Version: 0.1.1
Description: Fits, bootstraps, and evaluates two-component normal and lognormal mixture models. Includes diagnostic plots and statistical evaluation of mixture model fits using differential evolution optimization.
Imports: DEoptim (>= 2.0.0), pbapply (>= 1.0.0), parallelly (>= 1.0.0)
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-21 18:17:46 UTC; mac
Author: Farrokh Habibzadeh [aut, cre]
Maintainer: Farrokh Habibzadeh <farrokh.habibzadeh@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-27 08:40:08 UTC

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New package BioWorldR with initial version 0.1.0
Package: BioWorldR
Title: A Curated Collection of Biodiversity and Species Datasets and Utilities
Version: 0.1.0
Maintainer: Juan David Monroy <monroyjuandavid773@gmail.com>
Description: Provides a curated collection of biodiversity and species-related datasets (birds, plants, reptiles, turtles, mammals, bees, marine data and related biological measurements), together with small utilities to load and explore them. The package gathers data sourced from public repositories (including Kaggle and well-known ecological/biological R packages) and standardizes access for researchers, educators, and data analysts working on biodiversity, biogeography, ecology and comparative biology. It aims to simplify reproducible workflows by packaging commonly used example datasets and metadata so they can be easily inspected, visualized, and used for teaching, testing, and prototyping analyses.
License: GPL-3
URL: https://github.com/Monroy31039/BioWorld, https://Monroy31039.github.io/BioWorld/
BugReports: https://github.com/Monroy31039/BioWorld/issues
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, dplyr, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-20 22:03:03 UTC; monro
Author: Juan David Monroy [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-09-27 08:10:02 UTC

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Wed, 24 Sep 2025

New package SVAlignR with initial version 0.9.2
Package: SVAlignR
Version: 0.9.2
Date: 2025-09-20
Title: Recovering Structure of Long Molecules from Structural Variation Data
Description: Implements a method to combine multiple levels of multiple sequence alignment to uncover the structure of complex DNA rearrangements.
Depends: R (>= 4.4)
Imports: methods, graphics, grDevices, oompaBase, Biostrings, NameNeedle, dendextend, ape, stringr, igraph, Polychrome, colorspace
Suggests: msa, viridisLite, R.rsp, knitr, rmarkdown
VignetteBuilder: R.rsp
License: Apache License (== 2.0)
URL: http://oompa.r-forge.r-project.org/
NeedsCompilation: no
Packaged: 2025-09-20 12:54:30 UTC; KRC
Author: Kevin R. Coombes [aut, cre]
Maintainer: Kevin R. Coombes <krc@silicovore.com>
Repository: CRAN
Date/Publication: 2025-09-24 08:40:02 UTC

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New package gglyph with initial version 0.2.0
Package: gglyph
Title: Network-Style Visualization of Directed Pairwise Relationships
Version: 0.2.0
Description: Create network-style visualizations of pairwise relationships using custom edge glyphs built on top of 'ggplot2'. The package supports both statistical and non-statistical data and allows users to represent directed relationships. This enables clear, publication-ready graphics for exploring and communicating relational structures in a wide range of domains. The method was first used in Abu-Akel et al. (2021) <doi:10.1371/journal.pone.0245100>. Code is released under the MIT License; included datasets are licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0).
License: MIT + file LICENSE
URL: https://valentinsvelev.github.io/gglyph/
BugReports: https://github.com/valentinsvelev/gglyph/issues/
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, ggtext, grid, magrittr, rlang, stats, tibble, tidyr, utils
Suggests: ggthemes, haven, kableExtra, knitr, patchwork, psych, purrr, readr, rmarkdown, rstatix, spelling, svglite, testthat (>= 3.0.0), tidyverse, viridis, viridisLite
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-19 10:05:26 UTC; valentinvelev
Author: Valentin Velev [cre, aut], Andreas Spitz [ctb]
Maintainer: Valentin Velev <valentin.velev@uni-konstanz.de>
Repository: CRAN
Date/Publication: 2025-09-24 08:20:02 UTC

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New package elixir with initial version 0.1.0
Package: elixir
Title: Transmutation of Languages
Version: 0.1.0
Description: Tools for transforming 'R' expressions. Provides functions for finding, extracting, and replacing patterns in 'R' language objects, similarly to how regular expressions can be used to find, extract, and replace patterns in text. Also provides functions for generating code using specially-formatted template files and for translating 'R' expressions into similar expressions in other programming languages. The package may be helpful for advanced uses of 'R' expressions, such as developing domain-specific languages.
URL: https://github.com/nicholasdavies/elixir, https://nicholasdavies.github.io/elixir/
BugReports: https://github.com/nicholasdavies/elixir/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: methods, rlang, data.table, stringr, glue
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-19 10:55:15 UTC; nick
Author: Nicholas Davies [cre, aut, cph]
Maintainer: Nicholas Davies <nicholas.davies@lshtm.ac.uk>
Repository: CRAN
Date/Publication: 2025-09-24 08:20:07 UTC

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New package devianLM with initial version 1.0.3
Package: devianLM
Title: Detecting Extremal Values in a Normal Linear Model
Version: 1.0.3
Date: 2025-09-12
Description: Provides a method to detect values poorly explained by a Gaussian linear model. The procedure is based on the maximum of the absolute value of the studentized residuals, which is a parameter-free statistic. This approach generalizes several procedures used to detect abnormal values during longitudinal monitoring of biological markers. For methodological details, see: Berthelot G., Saulière G., Dedecker J. (2025). "DEViaN-LM An R Package for Detecting Abnormal Values in the Gaussian Linear Model". HAL Id: hal-05230549. <https://hal.science/hal-05230549>.
License: GPL-3
Encoding: UTF-8
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0)
Depends: R (>= 2.10)
LazyData: true
SystemRequirements: OpenMP
NeedsCompilation: yes
Packaged: 2025-09-19 08:07:27 UTC; gsauliere
Author: Guillaume Sauliere [aut, cre] , Geoffroy Berthelot [aut], Jerome Dedecker [aut]
Maintainer: Guillaume Sauliere <guillaumesauliere@hotmail.com>
Repository: CRAN
Date/Publication: 2025-09-24 08:10:02 UTC

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New package containr with initial version 0.1.1
Package: containr
Title: Containerize Your 'R' Project
Version: 0.1.1
Description: Automates the process of containerizing 'R' projects. The core function of 'containr' is 'generate_dockerfile()', which analyzes an 'R' project's environment and dependencies via an 'renv' lock file and generates a ready-to-use 'Dockerfile' that encapsulates the computational setup. The package helps researchers build portable and consistent workflows so that analyses can be reliably shared, archived, and rerun across systems. See R Core Team (2025) <https://www.R-project.org/>, Ushey et al. (2025) <https://CRAN.R-project.org/package=renv>, and Docker Inc. (2025) <https://www.docker.com/>.
License: Apache License (>= 2)
Encoding: UTF-8
URL: https://github.com/erwinlares/containr, https://erwinlares.github.io/containr/
BugReports: https://github.com/erwinlares/containr/issues
Suggests: testthat (>= 3.0.0), withr
Imports: dplyr, glue, purrr, readr, httr
NeedsCompilation: no
Packaged: 2025-09-19 18:52:24 UTC; lares
Author: Erwin Lares [aut, cre]
Maintainer: Erwin Lares <erwin.lares@wisc.edu>
Repository: CRAN
Date/Publication: 2025-09-24 08:30:02 UTC

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New package bnpMTP with initial version 1.0.0
Package: bnpMTP
Title: Bayesian Nonparametric Sensitivity Analysis of Multiple Testing Procedures for p Values
Version: 1.0.0
Author: George Karabatsos [aut, cre]
Maintainer: George Karabatsos <gkarabatsos1@gmail.com>
Description: Bayesian Nonparametric sensitivity analysis of multiple testing procedures for p values with arbitrary dependencies, based on the Dirichlet process prior distribution.
License: GPL (>= 2)
Imports: stats
Encoding: UTF-8
Repository: CRAN
NeedsCompilation: no
Packaged: 2025-09-19 16:04:18 UTC; George Karabatsos
Date/Publication: 2025-09-24 08:30:07 UTC

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Tue, 23 Sep 2025

New package ravecore with initial version 0.1.0
Package: ravecore
Title: Core File Structures and Workflows for 'RAVE'
Version: 0.1.0
Description: Defines storage standard for Read, process, and analyze intracranial electroencephalography and deep-brain stimulation in 'RAVE', a reproducible framework for analysis and visualization of iEEG by Magnotti, Wang, and Beauchamp, (2020, <doi:10.1016/j.neuroimage.2020.117341>). Supports brain imaging data structure (BIDS) <https://bids.neuroimaging.io> and native file structure to ingest signals from 'Matlab' data files, hierarchical data format 5 (HDF5), European data format (EDF), BrainVision core data format (BVCDF), or BlackRock Microsystem (NEV/NSx); process images in Neuroimaging informatics technology initiative (NIfTI) and 'FreeSurfer' formats, providing brain imaging normalization to template brain, facilitating 'threeBrain' package for comprehensive electrode localization via 'YAEL' (your advanced electrode localizer) by Wang, Magnotti, Zhang, and Beauchamp (2023, <doi:10.1523/ENEURO.0328-23.2023>).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://rave.wiki, http://rave.wiki/ravecore/
BugReports: https://github.com/rave-ieeg/ravecore/issues
Imports: tools, utils, bidsr, data.table, filearray (>= 0.2.0), fs, ieegio, jsonlite, methods, R6, ravepipeline (>= 0.0.2), ravetools, S7, threeBrain
Suggests: rpyANTs, rpymat, htmltools, httpuv, plotly, RNifti, RNiftyReg, shiny, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-18 21:12:23 UTC; dipterix
Author: Zhengjia Wang [aut, cre] , Xiang Zhang [aut], John Magnotti [aut], Michael Beauchamp [aut], Trustees of the University of Pennsylvania [cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-23 11:00:02 UTC

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New package hclustTeach with initial version 0.1.0
Package: hclustTeach
Title: Hierarchical Cluster Analysis (Learning Didactically)
Version: 0.1.0
Description: Implements hierarchical clustering methods (single linkage, complete linkage, average linkage, and centroid linkage) with stepwise printing and dendrograms for didactic purposes.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-18 14:57:50 UTC; gsaga
Author: Gualberto Segundo Agamez Montalvo [aut, cre]
Maintainer: Gualberto Segundo Agamez Montalvo <gsagamez@dema.ufc.br>
Repository: CRAN
Date/Publication: 2025-09-23 10:30:02 UTC

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New package fastfocal with initial version 0.1.3
Package: fastfocal
Title: Fast Multiscale Raster Extraction and Moving Window Analysis with FFT
Version: 0.1.3
Date: 2025-09-09
Description: Provides fast moving-window ("focal") and buffer-based extraction for raster data using the 'terra' package. Automatically selects between a 'C++' backend (via 'terra') and a Fast Fourier Transform (FFT) backend depending on problem size. The FFT backend supports sum and mean, while other statistics (e.g., median, min, max, standard deviation) are handled by the 'terra' backend. Supports multiple kernel types (e.g., circle, rectangle, gaussian), with NA handling consistent with 'terra' via 'na.rm' and 'na.policy'. Operates on 'SpatRaster' objects and returns results with the same geometry.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: terra, graphics, grDevices, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, dplyr, withr, spelling
VignetteBuilder: knitr
URL: https://hoyiwan.github.io/fastfocal/, https://github.com/hoyiwan/fastfocal, https://doi.org/10.5281/zenodo.17074691
BugReports: https://github.com/hoyiwan/fastfocal/issues
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-18 18:34:43 UTC; hoyiw
Author: Ho Yi Wan [aut, cre]
Maintainer: Ho Yi Wan <hoyiwan@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-23 10:50:02 UTC

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New package diegr with initial version 0.1.0
Package: diegr
Title: Dynamic and Interactive EEG Graphics
Version: 0.1.0
Description: Allows to visualize high-density electroencephalography (HD-EEG) data through interactive plots and animations, enabling exploratory and communicative analysis of temporal-spatial brain signals. Funder: Masaryk University (Grant No. MUNI/A/1457/2023).
License: MIT + file LICENSE
Date: 2025-08-27
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, rlang, ggplot2, gganimate, plotly, rgl, sp, scales, stats, purrr, tidyr
LazyData: true
Suggests: av, gifski, magick, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-18 15:33:13 UTC; zdenda
Author: Zdeňka Gerslova [aut, cre] , Stanislav Katina [rev] , Martin Lamos [ctb]
Maintainer: Zdeňka Gerslova <gerslovaz@math.muni.cz>
Repository: CRAN
Date/Publication: 2025-09-23 10:40:02 UTC

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New package acmgscaler with initial version 1.0.0
Package: acmgscaler
Title: Variant Effect Calibration to ACMG/AMP Evidence Strength
Version: 1.0.0
Description: Provides a function to calibrate variant effect scores against evidence strength categories defined by the American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathology (AMP) guidelines. The method computes likelihood ratios of pathogenicity via kernel density estimation of pathogenic and benign score distributions, and derives score intervals corresponding to ACMG/AMP evidence levels. This enables researchers and clinical geneticists to interpret functional and computational variant scores in a reproducible and standardised manner. For details, see Badonyi and Marsh (2025) <doi:10.1093/bioinformatics/btaf503>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-18 18:25:42 UTC; mbadonyi
Author: Mihaly Badonyi [aut, cre]
Maintainer: Mihaly Badonyi <mihaly.badonyi@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-23 10:50:08 UTC

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New package tcv with initial version 0.1.0
Package: tcv
Title: Determining the Number of Factors in Poisson Factor Models via Thinning Cross-Validation
Version: 0.1.0
Date: 2025-09-01
Description: Implements methods for selecting the number of factors in Poisson factor models, with a primary focus on Thinning Cross-Validation (TCV). The TCV method is based on the 'data thinning' technique, which probabilistically partitions each count observation into training and test sets while preserving the underlying factor structure. The Poisson factor model is then fit on the training set, and model selection is performed by comparing predictive performance on the test set. This toolkit is designed for researchers working with high-dimensional count data in fields such as genomics, text mining, and social sciences. The data thinning methodology is detailed in Dharamshi et al. (2025) <doi:10.1080/01621459.2024.2353948> and Wang et al. (2025) <doi:10.1080/01621459.2025.2546577>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: stats, GFM, countsplit, irlba
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
SystemRequirements: C++17
URL: https://github.com/Wangzhijingwzj/tcv
BugReports: https://github.com/Wangzhijingwzj/tcv/issues
NeedsCompilation: yes
Packaged: 2025-09-18 11:30:24 UTC; clswt-wangzhijing
Author: Zhijing Wang [aut, cre], Heng Peng [aut], Peirong Xu [aut]
Maintainer: Zhijing Wang <wangzhijing@sjtu.edu.cn>
Repository: CRAN
Date/Publication: 2025-09-23 07:40:02 UTC

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New package salmonMSE with initial version 0.1.0
Package: salmonMSE
Title: Management Strategy Evaluation for Salmon Species
Version: 0.1.0
Date: 2025-09-17
Maintainer: Quang Huynh <quang@bluematterscience.com>
Description: Simulation tools to evaluate the long-term effects of salmon management strategies, including a combination of habitat, harvest, and habitat actions. The stochastic age-structured operating model accommodates complex life histories, including freshwater survival across early life stages, juvenile survival and fishery exploitation in the marine life stage, partial maturity by age class, and fitness impacts of hatchery programs on natural spawning populations. 'salmonMSE' also provides an age-structured conditioning model to develop operating models fitted to data.
License: GPL (>= 3)
Depends: R (>= 3.5.0)
Imports: abind, MSEtool (>= 3.7.2), RTMB, dplyr, ggplot2, grDevices, gsl, methods, reshape2, rlang, rmarkdown, stats, utils
Suggests: ggrepel, rstan, testthat (>= 3.0.0), tmbstan
Encoding: UTF-8
LazyData: yes
LazyLoad: yes
URL: https://docs.salmonmse.com/, https://github.com/Blue-Matter/salmonMSE
BugReports: https://github.com/Blue-Matter/salmonMSE/issues
NeedsCompilation: no
Packaged: 2025-09-18 01:27:57 UTC; quang
Author: Quang Huynh [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-23 07:30:02 UTC

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New package glyrepr with initial version 0.7.4
Package: glyrepr
Title: Representation for Glycan Compositions and Structures
Version: 0.7.4
Description: Computational representations of glycan compositions and structures, including details such as linkages, anomers, and substituents. Supports varying levels of monosaccharide specificity (e.g., "Hex" or "Gal") and ambiguous linkages. Provides robust parsing and generation of IUPAC-condensed structure strings. Optimized for vectorized operations on glycan structures, with efficient handling of duplications. As the cornerstone of the glycoverse ecosystem, this package delivers the foundational data structures that power glycomics and glycoproteomics analysis workflows.
License: MIT + file LICENSE
Suggests: testthat (>= 3.0.0), patrick, tibble, knitr, rmarkdown, tictoc, lobstr
Encoding: UTF-8
URL: https://glycoverse.github.io/glyrepr/
Imports: checkmate, cli, dplyr, furrr, future, glue, igraph, magrittr, pillar, purrr, rlang, rstackdeque, stringr, vctrs (>= 0.6.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-18 13:14:37 UTC; fubin
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>
Repository: CRAN
Date/Publication: 2025-09-23 08:00:09 UTC

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New package dtlg with initial version 0.0.2
Package: dtlg
Title: A Performance-Focused Package for Clinical Trial Tables
Version: 0.0.2
Description: Create high-performance clinical reporting tables (TLGs) from ADaM-like inputs. The package provides a consistent, programmatic API to generate common tables such as demographics, adverse event incidence, and laboratory summaries, using 'data.table' for fast aggregation over large populations. Functions support flexible target-variable selection, stratification by treatment, and customizable summary statistics, and return tidy, machine-readable results ready to render with downstream table/formatting packages in analysis pipelines.
License: MIT + file LICENSE
Imports: data.table, vctrs
Suggests: dplyr, random.cdisc.data, rmarkdown, tern, kableExtra, testthat (>= 3.0.0), bench, tidyr, rtables, dtlg.data (>= 0.2.0), withr
Encoding: UTF-8
Depends: R (>= 4.1.0)
LazyData: true
URL: https://AscentSoftware.github.io/dtlg/
Additional_repositories: https://ascentsoftware.r-universe.dev
NeedsCompilation: no
Packaged: 2025-09-18 13:27:37 UTC; rmagno
Author: Max Ebenezer-Brown [aut], Max Norman [aut], Xinye Li [aut], Anja Peebles-Brown [aut], Ramiro Magno [aut, cre]
Maintainer: Ramiro Magno <ramiro.morgado@ascent.io>
Repository: CRAN
Date/Publication: 2025-09-23 08:00:25 UTC

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Mon, 22 Sep 2025

New package plumber2 with initial version 0.1.0
Package: plumber2
Title: Easy and Powerful Web Servers
Version: 0.1.0
Description: Automatically create a web server from annotated 'R' files or by building it up programmatically. Provides automatic 'OpenAPI' documentation, input handling, asynchronous evaluation, and plugin support.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: base64enc, cli, fiery (>= 1.3.0), firesafety, firesale, firestorm, fs, jsonlite, promises, R6, ragg, rapidoc, readr, reqres (>= 1.0.0), rlang (>= 1.1.0), routr (>= 1.0.0), roxygen2, stringi, svglite, utils, webutils, yaml
Suggests: arrow, callr, geojsonsf, htmlwidgets, later, mirai, nanoparquet, quarto, redoc, shiny, storr, swagger, testthat (>= 3.0.0)
VignetteBuilder: quarto
URL: http://plumber2.posit.co/, https://github.com/posit-dev/plumber2
BugReports: https://github.com/posit-dev/plumber2/issues
NeedsCompilation: no
Packaged: 2025-09-17 14:36:52 UTC; thomas
Author: Thomas Lin Pedersen [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>
Repository: CRAN
Date/Publication: 2025-09-22 18:30:02 UTC

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New package MicrobTiSDA with initial version 0.1.0
Package: MicrobTiSDA
Title: Microbiome Time-Series Data Analysis
Version: 0.1.0
Description: Provides tools specifically designed for analyzing longitudinal microbiome data. This tool integrates seven functional modules, providing a systematic framework for microbiome time-series analysis. For more details on inferences involving interspecies interactions see Fisher (2014) <doi:10.1371/journal.pone.0102451>. Details on this package are also described in an unpublished manuscript.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/Lishijiagg/MicrobTiSDA
BugReports: https://github.com/Lishijiagg/MicrobTiSDA/issues
Imports: caret, cluster, dplyr, ggdendro, ggplot2, ggraph, MASS, mgcv, plyr, pracma, randomForest, reshape2, scales, splines, stats, tibble, tidygraph, tidyr, vegan, visNetwork
Depends: R (>= 3.5)
LazyData: true
LazyDataCompression: xz
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-17 14:32:21 UTC; lishijia
Author: Shijia Li [aut, cre]
Maintainer: Shijia Li <s.li2@uva.nl>
Repository: CRAN
Date/Publication: 2025-09-22 18:20:02 UTC

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New package twfeivdecomp with initial version 0.1.0
Package: twfeivdecomp
Title: Instrumented Difference-in-Differences Decomposition
Version: 0.1.0
Description: Implements a decomposition of the two-way fixed effects instrumental variable estimator into all possible Wald difference-in-differences estimators. Provides functions to summarize the contribution of different cohort comparisons to the overall two-way fixed effects instrumental variable estimate, with or without controls. The method is described in Miyaji (2024) <doi:10.48550/arXiv.2405.16467>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/shomiyaji/twfeiv-decomp
BugReports: https://github.com/shomiyaji/twfeiv-decomp/issues
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.5)
LazyData: true
Imports: dplyr, Formula, AER, stats, magrittr
NeedsCompilation: no
Packaged: 2025-09-04 20:07:31 UTC; shomi
Author: Sho Miyaji [aut, cre]
Maintainer: Sho Miyaji <sho.miyaji@yale.edu>
Repository: CRAN
Date/Publication: 2025-09-22 11:50:02 UTC

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New package tmap.mapgl with initial version 0.1.0
Package: tmap.mapgl
Title: Extensions to 'tmap' with Two New Modes: 'mapbox' and 'maplibre'
Description: The 'tmap' package provides two plotting modes for static and interactive thematic maps. This package extends 'tmap' with two additional modes based on 'Mapbox GL JS' and 'MapLibre GL JS'. These modes feature interactive vector tiles, globe views, and other modern web-mapping capabilities, while maintaining a consistent 'tmap' interface across all plotting modes.
License: GPL-3
Version: 0.1.0
Encoding: UTF-8
Depends: R (>= 4.1),
Imports: tmap (>= 4.2), mapgl (>= 0.4), terra, rlang, cli, stars, data.table, grDevices, colorspace, htmltools, htmlwidgets, sf, tmaptools, units
Suggests: knitr
URL: https://github.com/r-tmap/tmap.mapgl, https://r-tmap.github.io/tmap.mapgl/
BugReports: https://github.com/r-tmap/tmap.mapgl/issues
NeedsCompilation: no
Packaged: 2025-09-16 19:37:31 UTC; mtes
Author: Martijn Tennekes [aut, cre]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-22 11:20:03 UTC

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New package tikatuwq with initial version 0.4.6
Package: tikatuwq
Title: Water Quality Analysis Tools for the Brazilian Context
Version: 0.4.6
Maintainer: Vinicius Saraiva Santos <vinisaraiva@gmail.com>
Description: Tools to import, clean, validate, and analyze freshwater quality data in Brazil. Implements water quality indices including the Water Quality Index (WQI/IQA), the Trophic State Index (TSI/IET) after Carlson (1977) <doi:10.4319/lo.1977.22.2.0361> and Lamparelli (2004) <https://www.teses.usp.br/teses/disponiveis/41/41134/tde-20032006-075813/publico/TeseLamparelli2004.pdf>, and the National Sanitation Foundation Water Quality Index (NSF WQI) <https://www.nsf.org/education/nsf-water-quality-index>. The package also checks compliance with Brazilian standard CONAMA Resolution 357/2005 <https://conama.mma.gov.br/?id=450&option=com_sisconama&task=arquivo.download> and generates reproducible reports for routine monitoring workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.1)
Imports: dplyr, readr, tibble, rlang, stats, utils, ggplot2, tidyr, lubridate, stringr, glue, scales, broom, purrr
Suggests: testthat (>= 3.0.0), spelling, rmarkdown, knitr, pkgdown
VignetteBuilder: knitr
URL: https://github.com/tikatuwq/tikatuwq, https://tikatuwq.github.io/tikatuwq/
BugReports: https://github.com/tikatuwq/tikatuwq/issues
NeedsCompilation: no
Packaged: 2025-09-17 18:21:17 UTC; Vini
Author: Vinicius Saraiva Santos [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-22 12:00:02 UTC

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New package RelativeDistClust with initial version 0.1.0
Package: RelativeDistClust
Title: Clustering with a Novel Non Euclidean Relative Distance
Version: 0.1.0
Author: Irene Creus Marti [aut, cre]
Maintainer: Irene Creus Marti <ircrmar@mat.upv.es>
Description: Using the novel Relative Distance to cluster datasets. Implementation of a clustering approach based on the k-means algorithm that can be used with any distance. In addition, implementation of the Hartigan and Wong method to accommodate alternative distance metrics. Both methods can operate with any distance measure, provided a suitable method is available to compute cluster centers under the chosen metric. Additionally, the k-medoids algorithm is implemented, offering a robust alternative for clustering without the need of computing cluster centers under the chosen metric. All three methods are designed to support Relative distances, Euclidean distances, and any user-defined distance functions. The Hartigan and Wong method is described in Hartigan and Wong (1979) <doi:10.2307/2346830> and an explanation of the k-medoids algorithm can be found in Reynolds et al (2006) <doi:10.1007/s10852-005-9022-1>.
License: GPL-3
Encoding: UTF-8
Imports: compositions, proxy, utils, ggpubr, factoextra, ggplot2
Suggests: testthat (>= 3.0.0), clusterSim, fpc, gtools, cluster
NeedsCompilation: no
Packaged: 2025-09-17 13:57:44 UTC; IRENE
Repository: CRAN
Date/Publication: 2025-09-22 11:50:06 UTC

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New package rconvertu with initial version 0.1.0
Package: rconvertu
Title: From/to Classification Converter
Version: 0.1.0
Description: Convert text into target classifications (e.g., ISO 3166-1) using a JSON mapping with regular expressions. Provides helpers to return the full mapping and associated metadata.
Language: en-US
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: jsonlite
Suggests: testthat (>= 3.0.0)
URL: https://github.com/econcz/rconvertu
BugReports: https://github.com/econcz/rconvertu/issues
NeedsCompilation: no
Packaged: 2025-09-17 05:31:39 UTC; ilyabolotov
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>
Repository: CRAN
Date/Publication: 2025-09-22 11:30:02 UTC

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New package RcamelsCL with initial version 0.1-11
Package: RcamelsCL
Title: Easy Handling of the CAMELS-CL Dataset
Version: 0.1-11
Maintainer: Hector Garces-Figueroa <hegarcesf@gmail.com>
Description: Download and handle spatial and temporal data from the CAMELS-CL dataset (Catchment Attributes and Meteorology for Large Sample Studies, Chile) <https://camels.cr2.cl/>, developed by Alvarez-Garreton et al. (2018) <doi:10.5194/hess-22-5817-2018>. The package does not generate new data, it only facilitates direct access to the original dataset for hydrological analyses.
License: GPL (>= 2)
Depends: R (>= 4.0.0)
Imports: httr, zoo (>= 1.7-2), hydroTSM (>= 0.5-0), terra (>= 1.7.78)
Suggests: rmarkdown
URL: https://gitlab.com/hgarcesf/RcamelsCL
MailingList: https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
BugReports: https://gitlab.com/hgarcesf/RcamelsCL/-/issues
LazyLoad: yes
NeedsCompilation: no
Repository: CRAN
Packaged: 2025-09-16 20:05:29 UTC; hector
Author: Hector Garces-Figueroa [aut, cph, cre] , Mauricio Zambrano-Bigiarini [aut, cph]
Date/Publication: 2025-09-22 11:20:07 UTC

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New package NetVAR with initial version 0.1-2
Package: NetVAR
Title: Network Structures in VAR Models
Version: 0.1-2
Date: 2025-08-26
LazyLoad: yes
LazyData: true
Depends: R (>= 3.5.0)
Imports: fields, fGarch
Description: Vector AutoRegressive (VAR) type models with tailored regularisation structures are provided to uncover network type structures in the data, such as influential time series (influencers). Currently the package implements the LISAR model from Zhang and Trimborn (2023) <doi:10.2139/ssrn.4619531>. The package automatically derives the required regularisation sequences and refines it during the estimation to provide the optimal model. The package allows for model optimisation under various loss functions such as Mean Squared Forecasting Error (MSFE), Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC). It provides a dedicated class, allowing for summary prints of the optimal model and a plotting function to conveniently analyse the optimal model via heatmaps.
License: GPL (>= 3)
NeedsCompilation: yes
Packaged: 2025-09-17 09:04:31 UTC; simontrimborn
Author: Simon Trimborn [aut, cre]
Maintainer: Simon Trimborn <trimborn.econometrics@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-22 11:30:07 UTC

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New package FastKRR with initial version 0.1.0
Package: FastKRR
Title: Kernel Ridge Regression using 'RcppArmadillo'
Version: 0.1.0
Description: Provides core computational operations in C++ via 'RcppArmadillo', enabling faster performance than pure R, improved numerical stability, and parallel execution with OpenMP where available. On systems without OpenMP support, the package automatically falls back to single-threaded execution with no user configuration required. For efficient model selection, it integrates with 'CVST' to provide sequential-testing cross-validation that identifies competitive hyperparameters without exhaustive grid search. The package offers a unified interface for exact kernel ridge regression and three scalable approximations—Nyström, Pivoted Cholesky, and Random Fourier Features—allowing analyses with substantially larger sample sizes than are feasible with exact KRR. It also integrates with the 'tidymodels' ecosystem via the 'parsnip' model specification 'krr_reg', the S3 method tunable.krr_reg(), and the direct fitting helper fit_krr(). To understand the theoretical background, one can refer to Wainwr [...truncated...]
License: GPL (>= 2)
URL: https://github.com/kybak90/FastKRR, https://www.tidymodels.org
BugReports: https://github.com/kybak90/FastKRR/issues
Imports: CVST, generics, parsnip, Rcpp, rlang, tibble
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, dials, tidymodels, modeldata, dplyr
SystemRequirements: OpenMP (optional)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-09-17 02:45:34 UTC; bak
Author: Gyeongmin Kim [aut] , Seyoung Lee [aut] , Miyoung Jang [aut] , Kwan-Young Bak [aut, cre, cph]
Maintainer: Kwan-Young Bak <kybak@sungshin.ac.kr>
Repository: CRAN
Date/Publication: 2025-09-22 11:20:12 UTC

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New package edgemodelr with initial version 0.1.0
Package: edgemodelr
Title: Local Language Model Inference
Version: 0.1.0
Author: Pawan Rama Mali [aut, cre]
Maintainer: Pawan Rama Mali <prm@outlook.in>
Description: Enables R users to run large language models locally using 'GGUF' model files and the 'llama.cpp' inference engine. Provides a complete R interface for loading models, generating text completions, and streaming responses in real-time. Supports local inference without requiring cloud APIs or internet connectivity, ensuring complete data privacy and control. References: 'Gerganov' et al. (2023) <https://github.com/ggml-org/llama.cpp>.
License: MIT + file LICENSE
URL: https://github.com/PawanRamaMali/edgemodelr
BugReports: https://github.com/PawanRamaMali/edgemodelr/issues
Encoding: UTF-8
Depends: R (>= 4.0)
LinkingTo: Rcpp
Imports: Rcpp (>= 1.0.0), utils, tools
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
SystemRequirements: C++17, GNU make or equivalent for building
Note: This package includes a self-contained 'llama.cpp' implementation resulting in a larger installation size (~56MB) to provide complete functionality without external dependencies.
NeedsCompilation: yes
Packaged: 2025-09-17 19:22:58 UTC; aeroe
Repository: CRAN
Date/Publication: 2025-09-22 12:00:08 UTC

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New package PortfolioTesteR with initial version 0.1.1
Package: PortfolioTesteR
Title: Test Investment Strategies with English-Like Code
Version: 0.1.1
Description: Design, backtest, and analyze portfolio strategies using simple, English-like function chains. Includes technical indicators, flexible stock selection, portfolio construction methods (equal weighting, signal weighting, inverse volatility, hierarchical risk parity), and a compact backtesting engine for portfolio returns, drawdowns, and summary metrics.
License: MIT + file LICENSE
URL: https://github.com/alb3rtazzo/PortfolioTesteR
BugReports: https://github.com/alb3rtazzo/PortfolioTesteR/issues
Depends: R (>= 3.5.0)
Imports: data.table, graphics, stats, TTR, utils, zoo
Suggests: quantmod, RSQLite, rvest, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
ByteCompile: true
NeedsCompilation: no
Packaged: 2025-09-16 16:34:14 UTC; alber
Author: Alberto Pallotta [aut, cre]
Maintainer: Alberto Pallotta <pallottaalberto@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-22 08:20:02 UTC

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New package player with initial version 0.1.0
Package: player
Title: Play Games in the Console
Version: 0.1.0
Description: Games that can be played in the R console. Includes coin flip, hangman, jumble, magic 8 ball, poker, rock paper scissors, shut the box, spelling bee, and 2048.
License: MIT + file LICENSE
URL: https://github.com/rossellhayes/player
BugReports: https://github.com/rossellhayes/player/issues
Depends: R (>= 3.5)
Imports: and, cli, crayon, dplyr, glue, nnet, plu, purrr, R6, rlang, stats, stringr, tools, twenty48 (>= 0.2.1), utils, withr
Suggests: job, rstudioapi, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-16 14:22:54 UTC; alex
Author: Alexander Rossell Hayes [aut, cre, cph] , Alan Beale [dtc] , Kevin Atkinson [dtc] , Luis Von Ahn [dtc] , Flavia Rossell Hayes [ill], Kristin Bott [ctb] status messages), Daniel Chen [ctb] status messages), Steven Smallberg [ctb] status messages)
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>
Repository: CRAN
Date/Publication: 2025-09-22 08:10:02 UTC

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New package OrgHeatmap with initial version 0.1.2
Package: OrgHeatmap
Title: Visualization Tool for Human Organ Data
Version: 0.1.2
Description: A tool for visualizing numerical data (such as gene expression levels) on human organ maps. It supports custom color schemes, organ system filtering, and optional bar charts for quantitative comparison. The package integrates organ coordinate data to plot anatomical contours and map data values to specific organs, facilitating intuitive visualization of biological data distribution. The underlying method was described in the preprint by Zhou et al. (2022) <doi:10.1101/2022.09.07.506938>.
Depends: R (>= 3.5), ggplot2 (>= 3.5.0)
Imports: ggpolypath(>= 0.3.0), dplyr, magrittr, rlang, stringr, patchwork, purrr, stringdist, data.table, RColorBrewer, grDevices
Suggests: knitr, svglite, rmarkdown, testthat (>= 3.0.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-16 12:07:40 UTC; hp
Author: Qirui Shen [aut, cre]
Maintainer: Qirui Shen <shenqr@i.smu.edu.cn>
Repository: CRAN
Date/Publication: 2025-09-22 08:10:13 UTC

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New package SSAforecast with initial version 0.1.1
Package: SSAforecast
Title: SSA Based Decomposition and Forecasting
Version: 0.1.1
Maintainer: Rajeev Ranjan Kumar <rrk.uasd@gmail.com>
Description: Singular spectrum analysis (SSA) decomposes a time series into interpretable components like trends, oscillations, and noise without strict distributional and structural assumptions. For method details see Golyandina N, Zhigljavsky A (2013). <doi:10.1007/978-3-642-34913-3>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: Rssa
Depends: R (>= 3.6)
NeedsCompilation: no
Packaged: 2025-09-16 09:59:53 UTC; pc
Author: Prabhat Kumar [aut, ctb], Girish Kumar Jha [aut, ths, ctb], Rajeev Ranjan Kumar [aut, ctb, cre]
Repository: CRAN
Date/Publication: 2025-09-22 07:50:23 UTC

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New package screenshotbase with initial version 0.1.0
Package: screenshotbase
Title: Client for the 'Screenshotbase' API
Version: 0.1.0
Description: Minimal R client for the 'Screenshotbase' API to render website screenshots and query account status. Provides functions to set the API key, call the status endpoint, and take a screenshot as a raw image response.
License: MIT + file LICENSE
URL: https://screenshotbase.com, https://github.com/everapihq
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: httr2 (>= 1.0.0)
Suggests: testthat (>= 3.1.0)
NeedsCompilation: no
Packaged: 2025-09-16 08:40:30 UTC; andreasaltheimer
Author: Dominik Kukacka [aut, cre], EverAPI Team [cph]
Maintainer: Dominik Kukacka <dominik@everapi.com>
Repository: CRAN
Date/Publication: 2025-09-22 07:50:03 UTC

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New package piecemeal with initial version 0.1.0
Package: piecemeal
Title: Wrangle Large Simulation Studies
Date: 2025-09-16
Version: 0.1.0
Description: An 'R6' class to set up, run, monitor, collate, and debug large simulation studies comprising many small independent replications and treatment configurations. Parallel processing, reproducibility, fault- and error-tolerance, and ability to resume an interrupted or timed-out simulation study are built in.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: R6, filelock, rlang, purrr
Suggests: knitr, testthat (>= 3.2.3), rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-16 09:42:42 UTC; pavel
Author: Pavel N. Krivitsky [aut, cre]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>
Repository: CRAN
Date/Publication: 2025-09-22 07:50:07 UTC

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New package hydroState with initial version 0.2.0.0
Package: hydroState
Title: Hidden Markov Modelling of Hydrological State Change
Version: 0.2.0.0
Maintainer: Tim Peterson <tim.peterson@monash.edu>
Depends: R (>= 3.5.0)
Description: Identifies regime changes in streamflow runoff not explained by variations in precipitation. The package builds a flexible set of Hidden Markov Models of annual, seasonal or monthly streamflow runoff with precipitation as a predictor. Suites of models can be built for a single site, ranging from one to three states and each with differing combinations of error models and auto-correlation terms. The most parsimonious model is easily identified by AIC, and useful for understanding catchment drought non-recovery: Peterson TJ, Saft M, Peel MC & John A (2021) <doi:10.1126/science.abd5085>.
Imports: methods, DEoptim, sn, truncnorm, diagram, padr, zoo, graphics, checkmate
BugReports: https://github.com/peterson-tim-j/HydroState/issues
URL: https://github.com/peterson-tim-j/HydroState, https://peterson-tim-j.github.io/HydroState/
License: GPL-3
Encoding: UTF-8
LazyData: true
ByteCompile: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), V8
NeedsCompilation: no
Packaged: 2025-09-16 01:32:24 UTC; twes0006
Author: Tim Peterson [aut, cre, cph] , Thomas Westfall [aut]
Repository: CRAN
Date/Publication: 2025-09-22 07:40:02 UTC

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New package dbrobust with initial version 1.0.0
Package: dbrobust
Title: Robust Distance-Based Visualization and Analysis of Mixed-Type Data
Version: 1.0.0
Date: 2025-09-16
Author: Marcos Alvarez [aut], Eva Boj [aut, cre], Aurea Grane [aut]
Maintainer: Eva Boj <evaboj@ub.edu>
Description: Robust distance-based methods applied to matrices and data frames, producing distance matrices that can be used as input for various visualization techniques such as graphs, heatmaps, or multidimensional scaling configurations. See Boj and Grané (2024) <doi:10.1016/j.seps.2024.101992>.
License: GPL-3
Repository: CRAN
Encoding: UTF-8
Imports: MASS, proxy, ade4, Rdpack, dbstats, StatMatch, RColorBrewer, pheatmap, qgraph, GGally, ggplot2, vegan
LazyData: true
Depends: R (>= 4.5)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-16 09:19:50 UTC; evaboj
Date/Publication: 2025-09-22 07:50:12 UTC

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New package cowfootR with initial version 0.1.2
Package: cowfootR
Title: Dairy Farm Carbon Footprint Assessment
Version: 0.1.2
Description: Calculates the carbon footprint of dairy farms based on methodologies of the International Dairy Federation and the Intergovernmental Panel on Climate Change. Includes tools for single-farm and batch analysis, report generation, and visualization. Methods follow International Dairy Federation (2022) "The IDF global Carbon Footprint standard for the dairy sector" (Bulletin of the IDF n° 520/2022) <doi:10.56169/FKRK7166> and IPCC (2019) "2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Chapter 10: Emissions from Livestock and Manure Management" <https://www.ipcc-nggip.iges.or.jp/public/2019rf/pdf/4_Volume4/19R_V4_Ch10_Livestock.pdf> guidelines.
License: MIT + file LICENSE
URL: https://github.com/juanmarcosmoreno-arch/cowfootR, https://juanmarcosmoreno-arch.github.io/cowfootR/
BugReports: https://github.com/juanmarcosmoreno-arch/cowfootR/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: writexl
Suggests: testthat, knitr, readxl, rmarkdown, plotly, gt, dplyr, ggplot2, tidyr, withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-16 11:35:04 UTC; juanmoreno
Author: Juan Moreno [aut, cre]
Maintainer: Juan Moreno <juanmarcosmoreno@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-22 07:50:18 UTC

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Sun, 21 Sep 2025

New package linkeR with initial version 0.1.2
Package: linkeR
Title: Link Interactive Plots and Tables in 'shiny' Applications
Version: 0.1.2
Description: Build powerful, linked-view dashboards in 'shiny' applications. With a declarative, one-line setup, you can create bidirectional links between interactive components. When a user interacts with one element (e.g., clicking a map marker), all linked components (such as 'DT' tables or other charts) instantly update. Supports 'leaflet' maps, 'DT' tables, and spatial data via 'sf' objects out-of-the-box, with an extensible API for custom components.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: shiny (>= 1.5.0), magrittr (>= 2.0.0), later (>= 1.0.0)
Suggests: leaflet, DT, sf, testthat (>= 3.0.0), knitr, plotly, bslib, rmarkdown
VignetteBuilder: knitr
URL: https://epiforesite.github.io/linkeR/, https://github.com/EpiForeSITE/linkeR/
BugReports: https://github.com/EpiForeSITE/linkeR/issues/
NeedsCompilation: no
Packaged: 2025-09-15 20:22:18 UTC; jake
Author: Jake Wagoner [aut, cre] , Centers for Disease Control and Prevention's Center for Forecasting and Outbreak Analytics [fnd]
Maintainer: Jake Wagoner <jakew@sci.utah.edu>
Repository: CRAN
Date/Publication: 2025-09-21 14:10:02 UTC

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New package rcppmlpackexamples with initial version 0.0.1
Package: rcppmlpackexamples
Title: Example Use of 'mlpack' from C++ via R
Version: 0.0.1
Date: 2025-09-14
Description: A Minimal Example Package which demonstrates 'mlpack' use via C++ Code from R.
URL: https://github.com/eddelbuettel/rcppmlpack-examples
BugReports: https://github.com/eddelbuettel/rcppmlpack-examples/issues
License: GPL (>= 2)
Suggests: tinytest
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.1.0)
LinkingTo: Rcpp, RcppArmadillo (>= 15.0.2-1), RcppEnsmallen, mlpack (>= 4.6.3)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-09-14 23:36:11 UTC; edd
Author: Dirk Eddelbuettel [aut, cre], Authors of mlpack [aut], Constantinos Giachalis [ctb]
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Repository: CRAN
Date/Publication: 2025-09-21 13:30:02 UTC

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New package PJCcalculator with initial version 0.1.3
Package: PJCcalculator
Title: PROs-Joint Contrast (PJC) Calculator
Version: 0.1.3
Description: Computes the Patient-Reported Outcomes (PROs) Joint Contrast (PJC), a residual-based summary that captures information left over after accounting for the clinical Disease Activity index for Psoriatic Arthritis (cDAPSA). PROs (pain and patient global assessment) and joint counts (swollen and tender) are standardized, then each component is adjusted for standardized cDAPSA using natural spline coefficients that were derived from previously published models. The resulting residuals are standardized and combined using fixed principal component loadings, to yield a continuous PJC score and quartile groupings. This package provides a calculator for applying those published coefficients to new datasets; it does not itself estimate spline models or principal components.
License: MIT + file LICENSE
Depends: R (>= 3.6)
Imports: dplyr, splines, rlang
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-15 16:06:28 UTC; nmeng2
Author: Ning Meng [aut, cre], Ji Soo Kim [aut], Ana-Maria Orbai [aut], Scott L. Zeger [aut]
Maintainer: Ning Meng <nmeng2@jh.edu>
Repository: CRAN
Date/Publication: 2025-09-21 14:00:07 UTC

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New package narfima with initial version 0.1.0
Package: narfima
Title: Neural AutoRegressive Fractionally Integrated Moving Average Model
Version: 0.1.0
Description: Methods and tools for forecasting univariate time series using the NARFIMA (Neural AutoRegressive Fractionally Integrated Moving Average) model. It combines neural networks with fractional differencing to capture both nonlinear patterns and long-term dependencies. The NARFIMA model supports seasonal adjustment, Box-Cox transformations, optional exogenous variables, and the computation of prediction intervals. In addition to the NARFIMA model, this package provides alternative forecasting models including NARIMA (Neural ARIMA), NBSTS (Neural Bayesian Structural Time Series), and NNaive (Neural Naive) for performance comparison across different modeling approaches. The methods are based on algorithms introduced by Chakraborty et al. (2025) <doi:10.48550/arXiv.2509.06697>.
Maintainer: Donia Besher <donia.a.besher@gmail.com>
Imports: forecast, nnet, bsts, stats, utils, withr
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-15 13:28:23 UTC; d2o0n
Author: Tanujit Chakraborty [aut] , Donia Besher [aut, cre, cph] , Madhurima Panja [aut] , Shovon Sengupta [aut]
Repository: CRAN
Date/Publication: 2025-09-21 14:00:02 UTC

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New package modelSelection with initial version 1.0.3
Package: modelSelection
Version: 1.0.3
Date: 2025-09-15
Title: High-Dimensional Model Selection
Maintainer: David Rossell <rosselldavid@gmail.com>
Depends: R (>= 2.14.0), methods
Suggests: parallel, testthat, patrick
Imports: Rcpp (>= 0.12.16), dplyr, glmnet, huge, intervals, Matrix, mclust, mgcv, mvtnorm, ncvreg, pracma, sparseMatrixStats, survival
LinkingTo: Rcpp, RcppArmadillo
Description: Model selection and averaging for regression, generalized linear models, generalized additive models, graphical models and mixtures, focusing on Bayesian model selection and information criteria (Bayesian information criterion etc.). See Rossell (2025) <doi:10.5281/zenodo.17119597> (see the URL field below for its URL) for a hands-on book describing the methods, examples and suggested citations if you use the package.
License: GPL (>= 2)
URL: https://github.com/davidrusi/modelSelection, https://github.com/davidrusi/modelSelection-book
BugReports: https://github.com/davidrusi/modelSelection/issues
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2025-09-15 08:34:06 UTC; u138097
Author: David Rossell [aut, cre], John D. Cook [ctb], Donatello Telesca [aut], P. Roebuck [ctb], Oriol Abril [aut], Miquel Torrens [aut], Peter Mueller [ctb], William Hallahan [ctb]
Repository: CRAN
Date/Publication: 2025-09-21 13:40:02 UTC

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New package glioblastomaEHRsData with initial version 0.1.0
Package: glioblastomaEHRsData
Title: Descriptive Analysis on 3 EHRs Datasets
Version: 0.1.0
Maintainer: Samuele Marelli <samu2003.marelli@gmail.com>
Description: Provides functions to load and analyze three open Electronic Health Records (EHRs) datasets of patients diagnosed with glioblastoma, previously released under the Creative Common Attribution 4.0 International (CC BY 4.0) license. Users can generate basic descriptive statistics, frequency tables and save descriptive summary tables, as well as create and export univariate or bivariate plots. The package is designed to work with the included datasets and to facilitate quick exploratory data analysis and reporting. More information about these three datasets of EHRs of patients with glioblastoma can be found in this article: Gabriel Cerono, Ombretta Melaiu, and Davide Chicco, 'Clinical feature ranking based on ensemble machine learning reveals top survival factors for glioblastoma multiforme', Journal of Healthcare Informatics Research 8, 1-18 (March 2024). <doi:10.1007/s41666-023-00138-1>.
License: GPL-3
Depends: R (>= 3.5)
Imports: DataExplorer, flextable, ggplot2, rmarkdown, summarytools, table1, tinytex
Suggests: ragg, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
SystemRequirements: pandoc (>= 1.12.3) - http://pandoc.org, tcltk (optional)
NeedsCompilation: no
Packaged: 2025-09-15 08:42:36 UTC; samum
Author: Samuele Marelli [aut, cre], Davide Chicco [aut]
Repository: CRAN
Date/Publication: 2025-09-21 13:50:02 UTC

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New package ggDNAvis with initial version 0.2.1
Package: ggDNAvis
Title: 'ggplot2'-Based Tools for Visualising DNA Sequences and Modifications
Version: 0.2.1
Description: Uses 'ggplot2' to visualise either (a) a single DNA/RNA sequence split across multiple lines, (b) multiple DNA/RNA sequences, each occupying a whole line, or (c) base modifications such as DNA methylation called by modified bases models in Dorado or Guppy. Functions starting with visualise_<something>() are the main plotting functions, and functions starting with extract_<something>() are key helper functions for reading files and reformatting data. Source code is available at <https://github.com/ejade42/ggDNAvis> and a full non-expert user guide is available at <https://ejade42.github.io/ggDNAvis/>.
Imports: ggplot2, dplyr, tidyr, stringr, raster, rlang, ragg, png, magick
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.5)
LazyData: true
Language: en-GB
URL: https://ejade42.github.io/ggDNAvis/, https://github.com/ejade42/ggDNAvis
BugReports: https://github.com/ejade42/ggDNAvis/issues
NeedsCompilation: no
Packaged: 2025-09-15 02:38:11 UTC; evelyn
Author: Evelyn Jade [aut, cre, cph]
Maintainer: Evelyn Jade <evelynjade42@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-21 13:30:07 UTC

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New package extr with initial version 1.0.0
Package: extr
Title: Extinction Risk Estimation
Version: 1.0.0
Description: Estimates extinction risk from population time series under a drifted Wiener process using the w-z method for accurate confidence intervals.
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-15 04:53:58 UTC; hako
Author: Hiroshi Hakoyama [aut, cre, cph]
Maintainer: Hiroshi Hakoyama <hiroshi.hakoyama@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-21 13:30:13 UTC

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New package DAGassist with initial version 0.2.4
Package: DAGassist
Title: Test Robustness with Directed Acyclic Graphs
Version: 0.2.4
Description: Provides robustness checks driven by directed acyclic graphs (DAGs). Given a 'dagitty' DAG object and a model specification, 'DAGassist' classifies variables by causal roles, flags problematic controls, and generates a report comparing the original model with minimal and canonical adjustment sets. Exports publication-grade reports in 'LaTeX', 'Word', 'Excel', or plain text. 'DAGassist' is built on 'dagitty', an 'R' package that uses the 'DAGitty' web tool (<https://dagitty.net/>) for creating and analyzing DAGs. Methods draw on Pearl (2009) <doi:10.1017/CBO9780511803161> and Textor et al. (2016) <doi:10.1093/ije/dyw341>.
License: GPL (>= 2)
URL: https://github.com/grahamgoff/DAGassist, https://grahamgoff.github.io/DAGassist/
BugReports: https://github.com/grahamgoff/DAGassist/issues
Depends: R (>= 3.5)
Imports: broom, cli, crayon, dagitty, magrittr, stats, tools, utils, writexl
Suggests: fixest, ggdag, knitr, modelsummary, rmarkdown, testthat (>= 3.0.0), tidyverse
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-15 16:22:42 UTC; grahamgoff
Author: Graham Goff [aut, cre] , Michael Denly [ctb]
Maintainer: Graham Goff <goffgrahamc@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-21 14:00:12 UTC

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Thu, 18 Sep 2025

New package CompositionalClust with initial version 1.0
Package: CompositionalClust
Title: Clustering with Compositional Data
Version: 1.0
Date: 2025-09-15
Author: Michail Tsagris [aut, cre], Nikolaos Kontemeniotis [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Compositional, doParallel, foreach, graphics, lowmemtkmeans, mixture, Rfast, Rfast2, stats
Description: Cluster analysis with compositional data using the alpha--transformation. Relevant papers include: Tsagris M. and Kontemeniotis N. (2025), <doi:10.48550/arXiv.2509.05945>. Tsagris M.T., Preston S. and Wood A.T.A. (2011), <doi:10.48550/arXiv.1106.1451>. Garcia-Escudero Luis A., Gordaliza Alfonso, Matran Carlos, Mayo-Iscar Agustin. (2008), <doi:10.1214/07-AOS515>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-09-14 20:47:14 UTC; mtsag
Repository: CRAN
Date/Publication: 2025-09-18 09:20:02 UTC

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New package swaglm with initial version 0.0.1
Package: swaglm
Title: Fast Sparse Wrapper Algorithm for Generalized Linear Models and Testing Procedures for Network of Highly Predictive Variables
Version: 0.0.1
Description: Provides a fast implementation of the SWAG algorithm for Generalized Linear Models which allows to perform a meta-learning procedure that combines screening and wrapper methods to find a set of extremely low-dimensional attribute combinations. The package then performs test on the network of selected models to identify the variables that are highly predictive by using entropy-based network measures.
License: AGPL-3
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, fastglm, stats, igraph, gdata, plyr, progress, DescTools, scales, fields
Suggests: knitr, MASS, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-09-14 08:03:00 UTC; lionel
Author: Lionel Voirol [aut, cre] , Yagmur Ozdemir [aut]
Maintainer: Lionel Voirol <lionelvoirol@hotmail.com>
Repository: CRAN
Date/Publication: 2025-09-18 08:50:02 UTC

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New package shinystate with initial version 0.1.0
Package: shinystate
Title: Customization of Shiny Bookmarkable State
Version: 0.1.0
Description: Enhance the bookmarkable state feature of 'shiny' with additional customization such as storage location and storage repositories leveraging the 'pins' package.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: archive, fs, htmltools, pins, R6, shiny (>= 0.14),
Suggests: bslib, DT, knitr, lubridate, rlang, rmarkdown, roxy.shinylive, testthat (>= 3.0.0), withr
URL: https://rpodcast.github.io/shinystate/, https://github.com/rpodcast/shinystate
BugReports: https://github.com/rpodcast/shinystate/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-13 02:34:20 UTC; eric
Author: Eric Nantz [aut, cre] , Eli Lilly and Company [cph, fnd]
Maintainer: Eric Nantz <theRcast@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-18 08:10:01 UTC

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New package pcdid with initial version 1.0.0
Package: pcdid
Title: Principal Components Difference-in-Differences
Version: 1.0.0
Date: 2025-09-13
Maintainer: Xiaolei Wang <adamwang15@gmail.com>
Description: Implements the Principal Components Difference-in-Differences estimators as described in Chan, M. K., & Kwok, S. S. (2022) <doi:10.1080/07350015.2021.1914636>.
License: GPL (>= 3)
Imports: stats, sandwich, lmtest
Depends: R (>= 3.5)
LazyData: true
Encoding: UTF-8
URL: https://github.com/adamwang15/pcdid
BugReports: https://github.com/adamwang15/pcdid/issues
Suggests: tinytest
NeedsCompilation: no
Packaged: 2025-09-13 03:50:04 UTC; adam
Author: Marc Chan [aut] , Xiaolei Wang [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-18 08:20:02 UTC

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New package henna with initial version 0.2.5
Package: henna
Title: A Versatile Visualization Suite
Version: 0.2.5
Description: A visualization suite primarily designed for single-cell RNA-sequencing data analysis applications, but adaptable to other purposes as well. It introduces novel plots to represent two-variable and frequency data and optimizes some commonly used plotting options (e.g., correlation, network, density and alluvial plots) for ease of usage and flexibility.
License: MIT + file LICENSE
Imports: abdiv, dplyr, ggalluvial, ggeasy, ggforce, ggraph, ggnewscale, ggplot2, ggrepel, grDevices, liver, methods, reshape2, rlang, stats, tidygraph, viridis
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-14 00:56:56 UTC; Andrei
Author: Andrei-Florian Stoica [aut, cre]
Maintainer: Andrei-Florian Stoica <andreistoica@foxmail.com>
Repository: CRAN
Date/Publication: 2025-09-18 08:50:07 UTC

More information about henna at CRAN
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New package heartbeatr with initial version 1.0.0
Package: heartbeatr
Title: A Workflow to Process Data Collected with PULSE Systems
Version: 1.0.0
Description: Given one or multiple paths to files produced by a PULSE multi-channel or a PULSE one-channel system (<https://electricblue.eu/pulse>) from a single experiment: [1] check pulse files for inconsistencies and read/merge all data, [2] split across time windows, [3] interpolate and smooth to optimize the dataset, [4] compute the heart rate frequency for each channel/window, and [5] facilitate quality control, summarising and plotting. Heart rate frequency is calculated using the Automatic Multi-scale Peak Detection algorithm proposed by Felix Scholkmann and team. For more details see Scholkmann et al (2012) <doi:10.3390/a5040588>. Check original code at <https://github.com/ig248/pyampd>. ElectricBlue is a non-profit technology transfer startup creating research-oriented solutions for the scientific community (<https://electricblue.eu>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: av, cli, dplyr, ggplot2, lubridate, magrittr, purrr, readr, stringr, tibble, tidyr, transformr
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-14 09:30:35 UTC; ruiseabra
Author: Rui Seabra [aut, cre] , Fernando Lima [aut]
Maintainer: Rui Seabra <ruisea@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-18 09:00:02 UTC

More information about heartbeatr at CRAN
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New package ordinalTables with initial version 1.0.0.3
Package: ordinalTables
Title: Fit Models to Two-Way Tables with Correlated Ordered Response Categories
Version: 1.0.0.3
Description: Fit a variety of models to two-way tables with ordered categories. Most of the models are appropriate to apply to tables of that have correlated ordered response categories. There is a particular interest in rater data and models for rescore tables. Some utility functions (e.g., Cohen's kappa and weighted kappa) support more general work on rater agreement. Because the names of the models are very similar, the functions that implement them are organized by last name of the primary author of the article or book that suggested the model, with the name of the function beginning with that author's name and an underscore. This may make some models more difficult to locate if one doesn't have the original sources. The vignettes and tests can help to locate models of interest. For more dertaiils see the following references: Agresti, A. (1983) <doi:10.1016/0167-7152(83)90051-2> "A Simple Diagonals-Parameter Symmetry And Quasi-Symmetry Model", Agrestim A. (1983) <doi:10.2307/25310 [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: MASS
Suggests: knitr, rmarkdown, testthat
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-12 23:00:33 UTC; johndonoghue
Author: John R. Donoghue [aut, cre]
Maintainer: John R. Donoghue <jdonoghue0823@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-18 08:00:02 UTC

More information about ordinalTables at CRAN
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Wed, 17 Sep 2025

New package robRatio with initial version 0.1.0
Package: robRatio
Title: M-Estimators for Generalized Ratio and Linear Regression Models
Version: 0.1.0
Author: Kazumi Wada [aut, cre]
Maintainer: Kazumi Wada <kazwd2008@gmail.com>
Description: Robust estimators for generalized ratio model (Wada, Sakashita and Tsubaki, 2021)<doi:10.17713/ajs.v50i1.994> and linear regression model by the IRLS(iterative reweighted least squares) algorithm are contained.
License: GPL (>= 3)
URL: <https://github.com/kazwd2008/robRatio>
Encoding: UTF-8
Depends: stats
Suggests: knitr, MASS, rmarkdown, testthat (>= 3.0.0), latex2exp, RColorBrewer
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-12 07:44:47 UTC; wada
Repository: CRAN
Date/Publication: 2025-09-17 10:20:02 UTC

More information about robRatio at CRAN
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New package isocubes with initial version 1.0.0
Package: isocubes
Title: Voxel Data Visualization with Isometric Cubes
Version: 1.0.0
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
Description: A voxel is a representation of a value on a regular, three-dimensional grid; it is the 3D equivalent of a 2D pixel. Voxel data can be visualised with this package using fixed viewpoint isometric cubes for each data point. This package also provides sample voxel data and tools for transforming the data.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: grid, methods
Suggests: png, ambient, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/coolbutuseless/isocubes
BugReports: https://github.com/coolbutuseless/isocubes/issues
VignetteBuilder: knitr
Depends: R (>= 4.1.0), colorfast (>= 1.0.1)
LazyData: true
LinkingTo: colorfast
NeedsCompilation: yes
Packaged: 2025-09-12 21:06:58 UTC; mike
Author: Mike Cheng [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-09-17 11:00:02 UTC

More information about isocubes at CRAN
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New package descutils with initial version 1.0
Package: descutils
Title: Utilities for Describing and Comparing Data
Version: 1.0
Description: Provides functionality that assists in tabular description and statistical comparison of data.
License: GPL-3
Imports: dplyr, stringr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-12 15:26:05 UTC; kueck2
Author: Andreas Leha [aut], Fabian Kueck [aut, cre]
Maintainer: Fabian Kueck <fabian.kueck@med.uni-goettingen.de>
Repository: CRAN
Date/Publication: 2025-09-17 10:40:02 UTC

More information about descutils at CRAN
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New package cxreg with initial version 1.0.0
Package: cxreg
Title: Complex-Valued Lasso and Complex-Valued Graphical Lasso
Version: 1.0.0
Description: Implements 'glmnet'-style complex-valued lasso and complex-valued graphical lasso using a 'pathwise' coordinate descent algorithm for complex-valued parameters. The package provides supporting tools for estimation, simulation, and prediction. See Deb (2024) <doi:10.48550/ArXiv.2401.11128> for the algorithm description.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: fields, foreach, gdata, grDevices, Matrix, methods, mvtnorm, Rcpp, stats
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-09-12 18:00:19 UTC; yhkim
Author: Younghoon Kim [aut, cre], Navonil Deb [aut], Sumanta Basu [ctb]
Maintainer: Younghoon Kim <yk748@cornell.edu>
Repository: CRAN
Date/Publication: 2025-09-17 10:50:02 UTC

More information about cxreg at CRAN
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New package BOLDconnectR with initial version 1.0.0
Package: BOLDconnectR
Title: Retrieve, Transform and Analyze the Barcode of Life Data Systems Data
Version: 1.0.0
Maintainer: Sameer Padhye <spadhye@uoguelph.ca>
Description: Facilitates retrieval, transformation and analysis of the data from the Barcode of Life Data Systems (BOLD) database <https://boldsystems.org/>. This package allows both public and private user data to be easily downloaded into the R environment using a variety of inputs such as: IDs (processid, sampleid), BINs, dataset codes, project codes, taxonomy, geography etc. It provides frictionless data conversion into formats compatible with other R-packages and third-party tools, as well as functions for sequence alignment & clustering, biodiversity analysis and spatial mapping.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: ape(>= 5.5), BAT(>= 2.0), data.table(>= 1.13), dplyr(>= 1.0.1), ggplot2(>= 3.3.2), httr(>= 1.4.2), jsonlite(>= 1.7), maps(>= 3.3), methods, reshape2, rnaturalearth, sf(>= 0.9.4), skimr(>= 2.1.2), tidyr(>= 1.1.1), utils, vegan(>= 2.5.7)
Suggests: Biostrings, BiocManager, msa, muscle
NeedsCompilation: no
Packaged: 2025-09-12 13:31:40 UTC; samee
Author: Sameer Padhye [aut, cre], Liliana Ballesteros-Mejia [aut], Sujeevan Ratnasingham [aut]
Repository: CRAN
Date/Publication: 2025-09-17 10:40:07 UTC

More information about BOLDconnectR at CRAN
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Tue, 16 Sep 2025

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

More information about rgeomorphon at CRAN
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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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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

More information about stepmetrics at CRAN
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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

More information about GPTCM at CRAN
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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

More information about GenePopStats at CRAN
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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

More information about fmrihrf at CRAN
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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

More information about ezTrack at CRAN
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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

More information about Rparadox at CRAN
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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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Mon, 15 Sep 2025

New package waou with initial version 0.1.0
Package: waou
Title: Weighting All of Us
Version: 0.1.0
Description: Utilities for using a probability sample to reweight prevalence estimates calculated from the All of Us research program. Weighted estimates will still not be representative of the general U.S. population. However, they will provide an early indication for how unweighted estimates may be biased by the sampling bias in the All of Us sample.
License: AGPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: glmnet, dplyr, stringr, stats, glue, mice, nonprobsvy, survey, ggplot2, purrr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-10 20:51:53 UTC; mbrannock
Author: Daniel Brannock [aut, cre] , Mahmoud Elkasabi [aut]
Maintainer: Daniel Brannock <mbrannock@rti.org>
Repository: CRAN
Date/Publication: 2025-09-15 09:10:02 UTC

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New package twomodeclusteringGA with initial version 1.0.0
Package: twomodeclusteringGA
Title: Genetic Algorithm Based Two-Mode Clustering
Version: 1.0.0
Description: Implements two-mode clustering (biclustering) using genetic algorithms. The method was first introduced in Hageman et al. (2008) <doi:10.1007/s11306-008-0105-7>. The package provides tools for fitting, visualization, and validation of two-mode cluster structures in data matrices.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.6)
Imports: GA, stats, utils, ggplot2
URL: https://github.com/joshageman/twomodeclusteringGA
BugReports: https://github.com/joshageman/twomodeclusteringGA/issues
NeedsCompilation: no
Packaged: 2025-09-10 19:08:45 UTC; hagem011
Author: Jos Hageman [aut, cre]
Maintainer: Jos Hageman <jos.hageman@wur.nl>
Repository: CRAN
Date/Publication: 2025-09-15 09:10:07 UTC

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New package ISPYARDSWinProbabilityGSDesign with initial version 0.1.0
Package: ISPYARDSWinProbabilityGSDesign
Title: Trial Design in Respiratory Disease Based on the Win Probability
Version: 0.1.0
Description: Provides analysis results and trial simulation functions for the I-SPY Acute Respiratory Disease Syndrome trial based on composite ranked outcomes. The composite ranked outcome is a hierarchical outcome where trial participants are ranked first by 28 day mortality, then ventilator days, then by advanced respiratory support days. A Bayesian win probability approach is used for analysis. Trial design options include group sequential looks for safety, superiority, futility, and adjustment of randomization probabilities.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: DFBA
NeedsCompilation: no
Packaged: 2025-09-10 21:05:33 UTC; a.chapple
Author: Andrew G Chapple [aut, cre], Andrew Chapple [ctb], Peter Norwood [ctb], Martin Eklund [ctb], Derek Russell [ctb], Phil Beineke [ctb], Quantum Leap Healthcare Collaborative [ctb, cph]
Maintainer: Andrew G Chapple <a.chapple@qlhc.org>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-09-15 09:10:25 UTC

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New package broadcast with initial version 0.1.3
Package: broadcast
Title: Broadcasted Array Operations Like 'NumPy'
Version: 0.1.3
Description: Implements efficient 'NumPy'-like broadcasted operations for atomic and recursive arrays. Besides linking to 'Rcpp', 'broadcast' does not use any external libraries in any way; 'broadcast' was essentially made from scratch and can be installed out-of-the-box. The implementations available in 'broadcast' include, but are not limited to, the following. 1) Broadcasted element-wise operations on any 2 arrays; they support a large set of relational, arithmetic, Boolean, string, and bit-wise operations. 2) A faster, more memory efficient, and broadcasted abind-like function, for binding arrays along an arbitrary dimension. 3) Broadcasted ifelse-like, and apply-like functions. 4) Casting functions, that cast subset-groups of an array to a new dimension, cast nested lists to dimensional lists, and vice-versa. 5) A few linear algebra functions for statistics. The functions in the 'broadcast' package strive to minimize computation time and memory usage (which is not just good for efficient compu [...truncated...]
License: MPL-2.0
Encoding: UTF-8
LinkingTo: Rcpp
Depends: R (>= 4.2.0)
Imports: Rcpp (>= 1.0.14), methods
Suggests: tinytest, abind, roxygen2
URL: https://github.com/tony-aw/broadcast, https://tony-aw.github.io/broadcast/
BugReports: https://github.com/tony-aw/broadcast/issues/
Language: en-gb
NeedsCompilation: yes
Packaged: 2025-09-10 18:32:06 UTC; Tony
Author: Tony Wilkes [aut, cre, cph]
Maintainer: Tony Wilkes <tony_a_wilkes@outlook.com>
Repository: CRAN
Date/Publication: 2025-09-15 09:10:18 UTC

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New package BLMEngineInR with initial version 0.1.7
Package: BLMEngineInR
Version: 0.1.7
Date: 2025-09-03
Title: Biotic Ligand Model Engine
Description: A chemical speciation and toxicity prediction model for the toxicity of metals to aquatic organisms. The Biotic Ligand Model (BLM) engine was originally programmed in 'PowerBasic' by Robert Santore and others. The main way the BLM can be used is to predict the toxicity of a metal to an organism with a known sensitivity (i.e., it is known how much of that metal must accumulate on that organism's biotic ligand to cause a physiological effect in a certain percentage of the population, such as a 20% loss in reproduction or a 50% mortality rate). The second way the BLM can be used is to estimate the chemical speciation of the metal and other constituents in water, including estimating the amount of metal accumulated to an organism's biotic ligand during a toxicity test. In the first application of the BLM, the amount of metal associated with a toxicity endpoint, or regulatory limit will be predicted, while in the second application, the amount of metal is known and the portions of that meta [...truncated...]
License: Apache License (>= 2)
URL: https://www.windwardenv.com/biotic-ligand-model/
Encoding: UTF-8
Language: en-US
LazyData: true
Imports: methods, openxlsx, Rcpp (>= 1.0.10), utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), withr
Depends: R (>= 3.5)
NeedsCompilation: yes
Packaged: 2025-09-10 21:05:25 UTC; kellyc
Author: Robert Santore [aut], Kelly Croteau [aut, cre]
Maintainer: Kelly Croteau <kellyc@windwardenv.com>
Repository: CRAN
Date/Publication: 2025-09-15 09:10:29 UTC

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New package USE with initial version 0.1.6
Package: USE
Title: Uniform Sampling of the Environmental Space
Version: 0.1.6
Description: Provides functions for uniform sampling of the environmental space, designed to assist species distribution modellers in gathering ecologically relevant pseudo-absence data. The method ensures balanced representation of environmental conditions and helps reduce sampling bias in model calibration. Based on the framework described by Da Re et al. (2023) <doi:10.1111/2041-210X.14209>.
Depends: R (>= 3.6.0)
Imports: sf, parallel, terra, ks, ggplot2, cowplot
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
URL: https://danddr.github.io/USE/, https://github.com/danddr/USE
BugReports: https://github.com/danddr/USE/issues
Suggests: rmarkdown, knitr, tidyterra
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-10 12:15:13 UTC; dared
Author: Daniele Da Re [aut, cre] , Enrico Tordoni [aut] , Manuele Bazzichetto [aut]
Maintainer: Daniele Da Re <dare.daniele@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-15 08:10:02 UTC

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New package tdPRC with initial version 1.0.0
Package: tdPRC
Title: Time-Dependent Precision-Recall Curve Estimation for Right-Censored Data
Version: 1.0.0
Description: This contains functions that can be used to estimate the time-dependent precision-recall curve (PRC) and the corresponding area under the PRC for right-censored survival data. It also compute time-dependent ROC curve and its corresponding area under the ROC curve (AUC). See Beyene, Chen and Kifle (2024) <doi:10.1002/bimj.202300135>.
License: GPL (>= 2)
Depends: R(>= 4.0)
Imports: survidm, graphics, stats
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-10 14:19:59 UTC; m2kas
Author: Kassu Mehari Beyene [aut, cre], Ding-Geng Chen [ctb], Yehenew Getachew Kifle [ctb]
Maintainer: Kassu Mehari Beyene <m2kassu@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-15 09:00:02 UTC

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New package SEQTaRget with initial version 0.13.1
Package: SEQTaRget
Title: Sequential Trial Emulation
Version: 0.13.1
Description: Implementation of sequential trial emulation for the analysis of observational databases. The 'SEQTaRget' software accommodates time-varying treatments and confounders, as well as binary and failure time outcomes. 'SEQTaRget' allows to compare both static and dynamic strategies, can be used to estimate observational analogs of intention-to-treat and per-protocol effects, and can adjust for potential selection bias induced by losses-to-follow-up. (Paper to come).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: rmarkdown, testthat (>= 3.0.0)
Imports: data.table, doFuture, doRNG, fastglm, future, future.apply, ggplot2, knitr, methods, stringr, survival
Depends: R (>= 4.1)
URL: https://causalinference.github.io/SEQuential/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-10 15:45:45 UTC; ryo766
Author: Ryan O'Dea [aut, cre] , Alejandro Szmulewicz [aut] , Miguel Hernan [aut] , The President and Fellows of Harvard College [cph]
Maintainer: Ryan O'Dea <ryanodea@hsph.harvard.edu>
Repository: CRAN
Date/Publication: 2025-09-15 08:40:02 UTC

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New package ronfig with initial version 0.0.2
Package: ronfig
Title: Load Configuration Values
Version: 0.0.2
Description: A simple approach to configuring R projects with different parameter values. Configurations are specified using a reduced subset of base R and parsed accordingly.
URL: https://timtaylor.codeberg.page/ronfig/
BugReports: https://codeberg.org/TimTaylor/ronfig/issues
License: GPL-2 | GPL-3
Encoding: UTF-8
Imports: cli, utils
Suggests: litedown, testthat (>= 3.0.0)
VignetteBuilder: litedown
NeedsCompilation: no
Packaged: 2025-09-10 09:44:53 UTC; tim
Author: Tim Taylor [aut, cre, cph]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>
Repository: CRAN
Date/Publication: 2025-09-15 08:30:02 UTC

More information about ronfig at CRAN
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New package rdcmchecks with initial version 0.1.0
Package: rdcmchecks
Title: Common Argument Checks for 'r-dcm' Packages
Version: 0.1.0
Description: Many packages in the 'r-dcm' family take similar arguments, which are checked for expected structures and values. Rather than duplicating code across several packages, commonly used check functions are included here. This package can then be imported to access the check functions in other packages.
License: MIT + file LICENSE
URL: https://rdcmchecks.r-dcm.org, https://github.com/r-dcm/rdcmchecks
BugReports: https://github.com/r-dcm/rdcmchecks/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr, readr, rlang, tibble, tidyr
Suggests: dcmdata, spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-10 15:34:31 UTC; jakethompson
Author: W. Jake Thompson [aut, cre] , University of Kansas [cph], Institute of Education Sciences [fnd], Accessible Teaching, Learning, and Assessment Systems [fnd]
Maintainer: W. Jake Thompson <wjakethompson@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-15 08:30:06 UTC

More information about rdcmchecks at CRAN
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New package polarisR with initial version 0.1.3
Package: polarisR
Title: Non-Linear Dimensionality Reduction Visualization Tool
Version: 0.1.3
Description: A 'shiny' application for visualizing high-dimensional data using non-linear dimensionality reduction (NLDR) techniques such as t-SNE and UMAP. It provides an interactive platform to explore high-dimensional datasets, diagnose the quality of the embeddings using the 'quollr' package, and compare different NLDR methods.
License: MIT + file LICENSE
URL: https://github.com/Divendra2006/polarisR, https://divendra2006.github.io/polarisR/
BugReports: https://github.com/Divendra2006/polarisR/issues
Depends: R (>= 4.1.0)
Imports: bslib, crosstalk, detourr, dplyr, DT, FNN, future, ggplot2, magrittr, plotly, quollr, Rtsne, scales, shiny, stats, tools, tourr, umap, utils
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-10 14:21:50 UTC; yadav
Author: Divendra Yadav [aut, cre], Ursula Laa [aut] , Jayani P. Gamage [aut] , Eun-Kyung Lee [aut]
Maintainer: Divendra Yadav <divendrasinghyadaviit@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-15 08:30:12 UTC

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New package cellGeometry with initial version 0.5.4
Package: cellGeometry
Title: Geometric Single Cell Deconvolution
Version: 0.5.4
Description: Deconvolution of bulk RNA-Sequencing data into proportions of cells based on a reference single-cell RNA-Sequencing dataset using high-dimensional geometric methodology.
License: GPL (>= 3)
Encoding: UTF-8
Imports: circlize, ComplexHeatmap, DelayedArray, dplyr, ensembldb, ggplot2, ggrepel, grid, gtools, matrixStats, mcprogress, parallel, pbmcapply, rlang, scales
Depends: R (>= 4.1.0)
Suggests: future.apply, ggsci, knitr, plotly, Rfast2, rmarkdown, seriation
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-10 12:31:17 UTC; myles
Author: Myles Lewis [aut, cre] , Rachel Lau [ctb]
Maintainer: Myles Lewis <myles.lewis@qmul.ac.uk>
Repository: CRAN
Date/Publication: 2025-09-15 08:20:02 UTC

More information about cellGeometry at CRAN
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New package VBphenoR with initial version 1.0.0
Package: VBphenoR
Title: Variational Bayes for Latent Patient Phenotypes in EHR
Version: 1.0.0
Description: Identification of Latent Patient Phenotype from Electronic Health Records (EHR) Data using Variational Bayes Gaussian Mixture Model for Latent Class Analysis and Variational Bayes regression for Biomarker level shifts, both implemented by Coordinate Ascent Variational Inference algorithms. Variational methods are used to enable Bayesian analysis of very large Electronic Health Records data. For VB GMM details see Bishop (2006,ISBN:9780-387-31073-2). For Logistic VB see Jaakkola and Jordan (2000) <doi:10.1023/A:1008932416310>.
License: MIT + file LICENCE
Encoding: UTF-8
Suggests: rmarkdown, testthat (>= 3.0.0)
Imports: stats, CholWishart, pracma, knitr, utils, dbscan, data.table, ggplot2
Depends: R (>= 3.5.0)
LazyData: true
URL: https://github.com/buckleybrian/VBphenoR, https://buckleybrian.github.io/VBphenoR/
BugReports: https://github.com/buckleybrian/VBphenoR/issues
NeedsCompilation: no
Packaged: 2025-09-10 06:57:06 UTC; buckl
Author: Brian Buckley [aut, cre, cph] , Adrian O'Hagan [aut] , Marie Galligan [aut]
Maintainer: Brian Buckley <brian.buckley.1@ucdconnect.ie>
Repository: CRAN
Date/Publication: 2025-09-15 07:40:08 UTC

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New package vaxineR with initial version 0.1.0
Package: vaxineR
Title: Vaccine Coverage and Outbreak Risk Analysis
Version: 0.1.0
Description: Provides tools to analyze vaccine coverage data and simulate potential disease outbreak scenarios. It allows users to calculate key epidemiological metrics such as the effective reproduction number (Re), outbreak probabilities, and expected infection counts based on county-level vaccination rates, disease characteristics, and vaccine effectiveness. The package includes historical kindergarten vaccination data for Florida counties and offers functions for generating summary tables, visualizations, and exporting the underlying plot data.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: dplyr, tidyr, ggplot2, scales, purrr, tibble, openxlsx
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-09-10 00:41:47 UTC; TopSoarer
Author: Peiyu Liu [aut, cre], Matt Hitchings [ctb], Ira Longini [ctb]
Maintainer: Peiyu Liu <pyliu0620@outlook.com>
Repository: CRAN
Date/Publication: 2025-09-15 07:30:02 UTC

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New package repo.data with initial version 0.1.4
Package: repo.data
Title: R Repository Data
Version: 0.1.4
Description: Retrieve metadata about packages from repositories to explore package dependencies, links between help pages, aliases, package availability on a given date, and other repository dependent outcome. This metadata can be used to help package maintainers and users to navigate changes on dependencies and with reproducibility.
License: GPL (>= 3)
URL: https://github.com/llrs/repo.data, https://llrs.github.io/repo.data/
BugReports: https://github.com/llrs/repo.data/issues
Depends: R (>= 4.5)
Imports: methods, tools, utils
Suggests: igraph (>= 2.1), knitr (>= 1.49), markdown (>= 1.13), rversions (>= 2.1), spelling (>= 2.3)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-09 22:54:37 UTC; lluis
Author: Lluis Revilla Sancho [aut, cre, cph]
Maintainer: Lluis Revilla Sancho <lluis.revilla@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-15 07:20:02 UTC

More information about repo.data at CRAN
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New package PeruAPIs with initial version 0.1.0
Package: PeruAPIs
Title: Access Peruvian Data via Public APIs and Curated Datasets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Provides functions to access data from public RESTful APIs including 'Nager.Date', 'World Bank API', and 'REST Countries API', retrieving real-time or historical data related to Peru, such as holidays, economic indicators, and international demographic and geopolitical indicators. Additionally, the package includes curated datasets focused on Peru, covering topics such as administrative divisions, electoral data, demographics, biodiversity and educational classifications. The package supports reproducible research and teaching by integrating reliable international APIs and structured datasets from public, academic, and government sources. For more information on the APIs, see: 'Nager.Date' <https://date.nager.at/Api>, 'World Bank API' <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>, and 'REST Countries API' <https://restcountries.com/>.
License: MIT + file LICENSE
Language: en
URL: https://github.com/lightbluetitan/peruapis, https://lightbluetitan.github.io/peruapis/
BugReports: https://github.com/lightbluetitan/peruapis/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: utils, httr, jsonlite, dplyr, scales, tibble
Suggests: ggplot2, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-10 01:21:05 UTC; Renzo
Author: Renzo Caceres Rossi [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-15 07:30:12 UTC

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New package lbaModel with initial version 0.2.9.2
Package: lbaModel
Title: The Linear Ballistic Accumulation Model
Version: 0.2.9.2
Date: 2025-09-10
Maintainer: Yi-Shin Lin <yishinlin001@gmail.com>
Description: Provides density, distribution and random generation functions for the Linear Ballistic Accumulation (LBA) model, a widely used choice response time model in cognitive psychology. The package supports model specifications, parameter estimation, and likelihood computation, facilitating simulation and statistical inference for LBA-based experiments. For details on the LBA model, see Brown and Heathcote (2008) <doi:10.1016/j.cogpsych.2007.12.002>.
License: GPL (>= 2)
Imports: ggdmcPrior, ggdmcModel, Rcpp (>= 1.0.7), methods
Depends: R (>= 3.3.0)
LinkingTo: Rcpp (>= 1.0.7), RcppArmadillo (>= 0.10.7.5.0), ggdmcHeaders
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-09-10 06:05:21 UTC; yslin
Author: Yi-Shin Lin [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-15 07:30:07 UTC

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New package ineapir with initial version 0.2.5
Package: ineapir
Title: Obtaining Data Published by the National Statistics Institute
Version: 0.2.5
Description: Get open statistical data and metadata disseminated by the National Statistics Institute of Spain (INE). The functions return data frames with the requested information thanks to calls to the 'INE' API <https://www.ine.es/dyngs/DAB/index.htm?cid=1100>.
License: EUPL (== 1.2)
Encoding: UTF-8
Imports: httr, jsonlite
URL: https://github.com/es-ine/ineapir, https://es-ine.github.io/ineapir/
BugReports: https://github.com/es-ine/ineapir/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-10 07:21:29 UTC; U851427
Author: David Crespo [aut, cre], National Statistics Institute, INE [cph]
Maintainer: David Crespo <david.crespo.roces@ine.es>
Repository: CRAN
Date/Publication: 2025-09-15 07:40:02 UTC

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Sun, 14 Sep 2025

New package SurvGME with initial version 0.1.0
Package: SurvGME
Title: Analysis of Survival Data under Graphical and Measurement Error Models
Version: 0.1.0
Description: The estimation method proposed by Chen and Yi (2021) <doi:10.1111/biom.13331> is extended to the analysis of survival data, accommodating commonly used survival models while accounting for measurement error and network structures among covariates.
License: GPL-3
Encoding: UTF-8
Imports: MASS, ncvreg, glmnet, survival, ahaz, GGally, network, sna, scales
NeedsCompilation: no
Packaged: 2025-09-09 18:50:00 UTC; Li-Pang Chen
Author: Li-Pang Chen [aut, cre], Grace Y. Yi [aut]
Maintainer: Li-Pang Chen <lchen723@nccu.edu.tw>
Repository: CRAN
Date/Publication: 2025-09-14 16:20:14 UTC

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New package SdeaR with initial version 1.0.0
Package: SdeaR
Title: Stochastic Data Envelopment Analysis
Version: 1.0.0
Maintainer: Vicente Bolos <vicente.bolos@uv.es>
Description: Set of functions for Stochastic Data Envelopment Analysis. Chance constrained versions of radial, directional and additive DEA models are implemented, as long as super-efficiency models. See: Cooper, W.W.; Deng, H.; Huang, Z.; Li, S.X. (2002). <doi:10.1057/palgrave.jors.2601433>, Bolós, V.J.; Benítez, R.; Coll-Serrano, V. (2024) <doi:10.1016/j.orp.2024.100307>.
License: GPL
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: optiSolve, deaR
NeedsCompilation: no
Packaged: 2025-09-09 15:23:51 UTC; Vicente
Author: Vicente Bolos [aut, cre], Vicente Coll-Serrano [aut], Rafael Benitez Suarez [aut]
Repository: CRAN
Date/Publication: 2025-09-14 16:10:08 UTC

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New package pregnancy with initial version 0.1.1
Package: pregnancy
Title: Calculate and Track Dates and Medications During Pregnancy
Version: 0.1.1
Description: Provides functionality for calculating pregnancy-related dates and tracking medications during pregnancy and fertility treatment. Calculates due dates from various starting points including last menstrual period and IVF (In Vitro Fertilisation) transfer dates, determines pregnancy progress on any given date, and identifies when specific pregnancy weeks are reached. Includes medication tracking capabilities for individuals undergoing fertility treatment or during pregnancy, allowing users to monitor remaining doses and quantities needed over specified time periods. Designed for those tracking their own pregnancies or supporting partners through the process, making use of options to personalise output messages. For details on due date calculations, see <https://www.acog.org/clinical/clinical-guidance/committee-opinion/articles/2017/05/methods-for-estimating-the-due-date>.
License: MIT + file LICENSE
URL: https://ellakaye.github.io/pregnancy/, https://github.com/EllaKaye/pregnancy
BugReports: https://github.com/EllaKaye/pregnancy/issues
Encoding: UTF-8
LazyData: true
Imports: anytime, cli, dplyr, lubridate, rlang
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0), withr
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-09 15:39:17 UTC; u2175871
Author: Ella Kaye [aut, cre, cph]
Maintainer: Ella Kaye <ella.kaye@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-14 16:10:02 UTC

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New package PnT with initial version 0.1.0
Package: PnT
Title: Peak Finder
Version: 0.1.0
Description: This program contains a function to find the peaks and troughs of a data set. It filters the set of peaks to remove noise based on the expected height and expected slope of a peak. Peaks that are too short (caused by random noise), or too shallow (part of the background data) are filtered out.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: dplyr, magrittr, rlang
Suggests: knitr, plotly, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-09 21:05:33 UTC; peterpitfield
Author: Peter Pitfield [aut, cre]
Maintainer: Peter Pitfield <pitfieldp@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-14 16:30:07 UTC

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New package MAFLD with initial version 3.0.0
Package: MAFLD
Title: Diagnosis of Metabolic Dysfunction Associated Fatty Liver Disease
Version: 3.0.0
Description: The latest guidelines proposed by International Expert Consensus are used for the clinical diagnosis of Metabolic Associated Fatty Liver Disease (MAFLD). The new definition takes hepatic steatosis (determined by elastography or histology or biomarker-based fatty liver index) as a major criterion. In addition, race, gender, body mass index (BMI), waist circumference (WC), fasting plasma glucose (FPG), systolic blood pressure (SBP), diastolic blood pressure (DBP), triglycerides (TG), high-density lipoprotein cholesterol (HDLC), homeostatic model assessment of insulin resistance (HOMAIR), high sensitive c-reactive protein (HsCRP) for the diagnosis of MAFLD. Each parameter has to be interpreted based on the proposed cut-offs, making the diagnosis slightly complex and error-prone. This package is developed by incorporating the latest international expert consensus guidelines, and it will aid in the easy and quick diagnosis of MAFLD based on FibroScan in busy healthcare settings and also for [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://github.com/jagadishramasamy/mafld
BugReports: https://github.com/jagadishramasamy/mafld/issues
Suggests: knitr, rmarkdown, testthat
Imports: dplyr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2025-09-09 15:43:27 UTC; jagadish
Author: Jagadish Ramasamy [aut, cre]
Maintainer: Jagadish Ramasamy <iamjagankmr@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-14 16:10:13 UTC

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New package EvalTest with initial version 1.0.2
Package: EvalTest
Title: A 'shiny' App to Evaluate Diagnostic Tests Performance
Version: 1.0.2
Maintainer: Nassim AYAD <nassim.ayad.ph@gmail.com>
Description: Evaluate diagnostic test performance using data from laboratory or diagnostic research. It supports both binary and continuous test variables. It allows users to compute key performance indicators and visualize Receiver Operating Characteristic (ROC) curves, determine optimal cut-off thresholds, display confusion matrix, and export publication-ready plot. It aims to facilitate the application of statistical methods in diagnostic test evaluation by healthcare professionals. The methodology used to compute the performance indicators follows the overview described by Habibzadeh (2025) <doi:10.11613/BM.2025.010101>. Thanks to 'shiny' package.
Depends: R (>= 4.2.1)
Imports: DT, ggplot2, ggpubr, openxlsx, pROC, readxl, shiny, shinydashboard, stats, binom
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-09 19:58:34 UTC; maison
Author: Nassim AYAD [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-14 16:20:19 UTC

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New package epitraxr with initial version 0.5.0
Package: epitraxr
Title: Manipulate 'EpiTrax' Data and Generate Reports
Version: 0.5.0
Description: A fast, flexible tool for generating disease surveillance reports from data exported from 'EpiTrax', a central repository for epidemiological data used by public health officials. It provides functions to manipulate 'EpiTrax' datasets, tailor reports to internal or public use, and export reports in CSV, Excel 'xlsx', or PDF formats.
License: MIT + file LICENSE
URL: https://epiforesite.github.io/epitraxr/, https://github.com/EpiForeSITE/epitraxr
BugReports: https://github.com/EpiForeSITE/epitraxr/issues
Depends: R (>= 4.1.0)
Imports: lubridate, stats, utils, writexl, yaml
Suggests: DT, kableExtra, knitr, readxl, rmarkdown, shiny, shinyjs, stringr, tinytest
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-09 20:14:40 UTC; runner
Author: Andrew Pulsipher [aut, cre] , Nate Lanza [aut, ctb], Centers for Disease Control and Prevention's Center for Forecasting and Outbreak Analytics [fnd]
Maintainer: Andrew Pulsipher <pulsipher.a@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-14 16:20:02 UTC

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New package DUToolkit with initial version 1.0.0
Package: DUToolkit
Title: Visualizing and Quantifying Decision Uncertainty
Version: 1.0.0
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/>.
License: GPL (>= 2)
Encoding: UTF-8
Suggests: DT, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
LazyData: true
LazyDataCompression: xz
Imports: ggdist, ggplot2, ggtext, rlang, scales, stats
NeedsCompilation: no
Packaged: 2025-09-09 15:47:02 UTC; mwiggins
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>
Repository: CRAN
Date/Publication: 2025-09-14 16:10:18 UTC

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New package bddkR with initial version 0.1.1
Package: bddkR
Title: Gathering Monthly Banking Sector Data from BDDK of Turkey
Version: 0.1.1
Maintainer: Ozancan Ozdemir <ozancanozdemir@gmail.com>
Description: Fetches monthly financial tables and banking sector data published on the official website of the Banking Regulation and Supervision Agency of Turkey and also enables you to save it as an Excel file. It is a R implementation of the Python package <https://pypi.org/project/bddkdata/>.
License: MIT + file LICENSE
URL: https://github.com/ozancanozdemir/bddkR
BugReports: https://github.com/ozancanozdemir/bddkR/issues
Depends: R (>= 4.0)
Imports: httr, jsonlite, dplyr, writexl, lubridate
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-09 20:47:36 UTC; ozancanozdemir
Author: Ozancan Ozdemir [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-14 16:30:02 UTC

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New package admiralneuro with initial version 0.1.0
Package: admiralneuro
Title: Neuroscience Extension Package for ADaM in 'R' Asset Library
Version: 0.1.0
Description: Programming neuroscience Clinical Data Standards Interchange Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam>). This package extends the 'admiral' package.
License: Apache License (>= 2)
URL: https://pharmaverse.github.io/admiralneuro/, https://github.com/pharmaverse/admiralneuro
Depends: R (>= 4.1)
Imports: admiral (>= 1.2.0), admiraldev (>= 1.2.0), cli (>= 3.6.2), dplyr (>= 1.0.5), hms (>= 0.5.3), lifecycle (>= 0.1.0), lubridate (>= 1.7.4), magrittr (>= 1.5), purrr (>= 0.3.3), rlang (>= 0.4.4), stringr (>= 1.4.0), tibble (>= 3.2.1), tidyr (>= 1.0.2), tidyselect (>= 1.1.0)
Suggests: diffdf, DT, htmltools, knitr, metatools, methods, pharmaversesdtm (>= 1.0.0), reactable, readxl, rmarkdown, testthat (>= 3.0.0),
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-09 16:42:48 UTC; c085541
Author: Jian Wang [aut, cre] , Miles Almond [aut] , Xiao Chen [aut] , Fanny Gautier [aut] , Gayatri G. [aut], Meilin Jiang [aut] , Leena Khatri [aut] , Edoardo Mancini [aut] , Eric Nantz [aut], Lina Patil [aut], Chris Pelentrides [aut], Eli Lilly and Company [...truncated...]
Maintainer: Jian Wang <wang_jian_wj@lilly.com>
Repository: CRAN
Date/Publication: 2025-09-14 16:20:08 UTC

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New package TailID with initial version 1.0.0
Package: TailID
Title: Detect Sensitive Points in the Tail
Version: 1.0.0
Description: The goal of 'TailID' is to detect sensitive points in the tail of a dataset using techniques from Extreme Value Theory (EVT). It utilizes the Generalized Pareto Distribution (GPD) for assessing tail behavior and detecting inconsistent points with the Identical Distribution hypothesis of the tail. For more details see Manau (2025)<doi:10.4230/LIPIcs.ECRTS.2025.20>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: ggplot2, grDevices, ismev, scales
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-09 10:43:25 UTC; bmanau
Author: Blau Manau [aut, cre]
Maintainer: Blau Manau <blau.manau@bsc.es>
Repository: CRAN
Date/Publication: 2025-09-14 16:00:02 UTC

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New package bdf3 with initial version 0.1.1
Package: bdf3
Title: Efficient Block Designs for 3-Level Factorial Experiments in Block Size 3
Version: 0.1.1
Description: Provides functions to construct efficient block designs for 3-level factorial experiments in block size 3. The designs ensure the estimation of all main effects and two-factor interactions in minimum number of replications. For more details, see Dey and Mukerjee (2012) <doi:10.1016/j.spl.2012.06.014> and Dash, S., Parsad, R. and Gupta, V.K. (2013) <doi:10.1007/s40003-013-0059-5>.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, stats
Depends: R (>= 3.6)
NeedsCompilation: no
Packaged: 2025-09-09 08:48:46 UTC; sunil
Author: Sunil Kumar Yadav [aut], Sukanta Dash [aut, cre]
Maintainer: Sukanta Dash <sukanta.iasri@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-14 15:50:02 UTC

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Thu, 11 Sep 2025

New package Slick with initial version 1.0.0
Package: Slick
Title: Interactive Visualization of MSE Results
Version: 1.0.0
Maintainer: Adrian Hordyk <adrian@bluematterscience.com>
Description: A framework for visualizing and exploring results of a Management Strategy Evaluation (MSE). The publication quality figures and tables can be developed directly from the R console, or interactively explored with the 'Slick' App. For more details, see the `Slick` website <https://slick.bluematterscience.com>.
URL: https://slick.bluematterscience.com/, https://github.com/Blue-Matter/Slick
License: GPL-2
Depends: R (>= 4.1.0)
Imports: cli, dplyr, DT, ggplot2, ggrepel, golem, graphics, grDevices, methods, scales, shiny, stats, tibble, utils
Suggests: bookdown, colourpicker, colorspace, cowplot, esquisse, flextable, fresh, httr, kableExtra, knitr, MSEtool, openMSE, RColorBrewer, shiny.i18n, shinyalert, shinyBS, shinycssloaders, shinydashboard, shinydashboardPlus, shinyhelper, shinyjs, shinyWidgets, rmarkdown, testthat (>= 3.0.0), waiter
Encoding: UTF-8
BugReports: https://github.com/Blue-Matter/Slick/issues
NeedsCompilation: no
Packaged: 2025-09-09 05:16:57 UTC; Adrian
Author: Adrian Hordyk [aut, cre], Tom Carruthers [aut], Quang Huynh [aut], Shana Miller [aut]
Repository: CRAN
Date/Publication: 2025-09-11 09:20:18 UTC

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