Mon, 22 Sep 2025

Package geosimilarity updated to version 3.8 with previous version 3.7 dated 2024-10-17

Title: Geographically Optimal Similarity
Description: Understanding spatial association is essential for spatial statistical inference, including factor exploration and spatial prediction. Geographically optimal similarity (GOS) model is an effective method for spatial prediction, as described in Yongze Song (2022) <doi:10.1007/s11004-022-10036-8>. GOS was developed based on the geographical similarity principle, as described in Axing Zhu (2018) <doi:10.1080/19475683.2018.1534890>. GOS has advantages in more accurate spatial prediction using fewer samples and critically reduced prediction uncertainty.
Author: Yongze Song [aut, cph] , Wenbo Lv [aut, cre]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

Diff between geosimilarity versions 3.7 dated 2024-10-17 and 3.8 dated 2025-09-22

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More information about geosimilarity at CRAN
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Package rapsimng updated to version 0.4.5 with previous version 0.4.4 dated 2024-02-01

Title: APSIM Next Generation
Description: The Agricultural Production Systems sIMulator ('APSIM') is a widely used to simulate the agricultural systems for multiple crops. This package is designed to create, modify and run 'apsimx' files in the 'APSIM' Next Generation <https://www.apsim.info/>.
Author: Bangyou Zheng [aut, cre]
Maintainer: Bangyou Zheng <bangyou.zheng@csiro.au>

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Package smile updated to version 1.1.0 with previous version 1.0.5 dated 2024-06-14

Title: Spatial Misalignment: Interpolation, Linkage, and Estimation
Description: Provides functions to estimate, predict and interpolate areal data. For estimation and prediction we assume areal data is an average of an underlying continuous spatial process as in Moraga et al. (2017) <doi:10.1016/j.spasta.2017.04.006>, Johnson et al. (2020) <doi:10.1186/s12942-020-00200-w>, and Wilson and Wakefield (2020) <doi:10.1093/biostatistics/kxy041>. The interpolation methodology is (mostly) based on Goodchild and Lam (1980, ISSN:01652273).
Author: Lucas da Cunha Godoy [aut, cre]
Maintainer: Lucas da Cunha Godoy <lcgodoy@duck.com>

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Package animint2 updated to version 2025.9.16 with previous version 2025.1.28 dated 2025-01-28

Title: Animated Interactive Grammar of Graphics
Description: Functions are provided for defining animated, interactive data visualizations in R code, and rendering on a web page. The 2018 Journal of Computational and Graphical Statistics paper, <doi:10.1080/10618600.2018.1513367> describes the concepts implemented.
Author: Toby Hocking [aut, cre] , Biplab Sutradhar [ctb] , Hadley Wickham [aut] , Winston Chang [aut] , RStudio [cph] , Nicholas Lewin-Koh [aut] , Martin Maechler [aut] , Randall Prium [aut] , Susan VanderPlas [aut] , Carson Sievert [aut] , Kevin Ferris [aut [...truncated...]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

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Package tabularMLC updated to version 0.0.4 with previous version 0.0.3 dated 2021-10-05

Title: Tabular Maximum Likelihood Classifier
Description: The maximum likelihood classifier (MLC) is one of the most common classifiers used for remote sensing imagery. This package uses 'RcppArmadillo' to provide a fast implementation of the MLC to train and predict over tabular data (data.frame). The algorithms were based on Mather (1985) <doi:10.1080/01431168508948456> method.
Author: Caio Hamamura [aut, cre]
Maintainer: Caio Hamamura <caiohamamura@gmail.com>

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Package ofpetrial updated to version 0.1.3 with previous version 0.1.2 dated 2024-12-11

Title: Design on-Farm Precision Field Agronomic Trials
Description: A comprehensive system for designing and implementing on-farm precision field agronomic trials. You provide field data, tell 'ofpetrial' how to design a trial, and get readily-usable trial design files and a report checks the validity and reliability of the trial design.
Author: Taro Mieno [aut, cre, cph] , Brittani Edge [aut, ctb]
Maintainer: Taro Mieno <tmieno2@unl.edu>

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Package tradestatistics updated to version 6.0.0 with previous version 5.0.0 dated 2024-08-23

Title: Open Trade Statistics API Wrapper and Utility Program
Description: Access 'Open Trade Statistics' API from R to download international trade data.
Author: Mauricio Vargas [aut, cre, cph] , Joshua Kunst [ctb] , Alexey Kravchenko [ctb] , Emma Mendelsohn [ctb] , Daniela de los Santos [ctb] , Emily Riederer [rev] , Mark Padgham [rev] , Amanda Dobbyn [rev] , Jorge Cimentada [rev] , UN Comtrade [dtc], The Wo [...truncated...]
Maintainer: Mauricio Vargas <m.vargas.sepulveda@gmail.com>

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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

More information about plumber2 at CRAN
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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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Package matrixCorr updated to version 0.5.1 with previous version 0.3.1 dated 2025-08-26

Title: Collection of Correlation and Association Estimators
Description: Compute correlation and other association matrices from small to high-dimensional datasets with relative simple functions and sensible defaults. Includes options for shrinkage and robustness to improve results in noisy or high-dimensional settings (p >= n), plus convenient print/plot methods for inspection. Implemented with optimised C++ backends using BLAS/OpenMP and memory-aware symmetric updates. Works with base matrices and data frames, returning standard R objects via a consistent S3 interface. Useful across genomics, agriculture, and machine-learning workflows. Supports Pearson, Spearman, Kendall, distance correlation, partial correlation, and robust biweight mid-correlation; Bland–Altman analyses and Lin's concordance correlation coefficient (including repeated-measures extensions). Methods based on Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4>; Schäfer and Strimmer (2005) <doi:10.2202/1544-6115.1175>; Lin (1989) <doi:10.2307/2532051>.
Author: Thiago de Paula Oliveira [aut, cre]
Maintainer: Thiago de Paula Oliveira <thiago.paula.oliveira@gmail.com>

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Package lme4breeding updated to version 1.0.80 with previous version 1.0.70 dated 2025-07-31

Title: Breeding-Related Mixed-Effects Models
Description: Fit relationship-based and customized mixed-effects models with complex variance-covariance structures using the 'lme4' machinery. The core computational algorithms are implemented using the 'Eigen' 'C++' library for numerical linear algebra and 'RcppEigen' 'glue'.
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

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Package CLVTools updated to version 0.12.0 with previous version 0.11.2 dated 2024-12-02

Title: Tools for Customer Lifetime Value Estimation
Description: A set of state-of-the-art probabilistic modeling approaches to derive estimates of individual customer lifetime values (CLV). Commonly, probabilistic approaches focus on modelling 3 processes, i.e. individuals' attrition, transaction, and spending process. Latent customer attrition models, which are also known as "buy-'til-you-die models", model the attrition as well as the transaction process. They are used to make inferences and predictions about transactional patterns of individual customers such as their future purchase behavior. Moreover, these models have also been used to predict individuals’ long-term engagement in activities such as playing an online game or posting to a social media platform. The spending process is usually modelled by a separate probabilistic model. Combining these results yields in lifetime values estimates for individual customers. This package includes fast and accurate implementations of various probabilistic models for non-contractual settings (e.g., gr [...truncated...]
Author: Patrick Bachmann [cre, aut], Niels Kuebler [aut], Markus Meierer [aut], Jeffrey Naef [aut], E. Shin Oblander [aut], Patrik Schilter [aut]
Maintainer: Patrick Bachmann <pbachma@ethz.ch>

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Package rococo updated to version 1.1.10 with previous version 1.1.9 dated 2024-04-26

Title: Robust Rank Correlation Coefficient and Test
Description: Provides the robust gamma rank correlation coefficient as introduced by Bodenhofer, Krone, and Klawonn (2013) <DOI:10.1016/j.ins.2012.11.026> along with a permutation-based rank correlation test. The rank correlation coefficient and the test are explicitly designed for dealing with noisy numerical data.
Author: Martin Krone [aut], Ulrich Bodenhofer [aut, cre]
Maintainer: Ulrich Bodenhofer <ulrich@bodenhofer.com>

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Package apcluster updated to version 1.4.14 with previous version 1.4.13 dated 2024-04-26

Title: Affinity Propagation Clustering
Description: Implements Affinity Propagation clustering introduced by Frey and Dueck (2007) <DOI:10.1126/science.1136800>. The algorithms are largely analogous to the 'Matlab' code published by Frey and Dueck. The package further provides leveraged affinity propagation and an algorithm for exemplar-based agglomerative clustering that can also be used to join clusters obtained from affinity propagation. Various plotting functions are available for analyzing clustering results.
Author: Ulrich Bodenhofer [aut, cre], Johannes Palme [ctb], Chrats Melkonian [ctb], Andreas Kothmeier [aut], Nikola Kostic [ctb]
Maintainer: Ulrich Bodenhofer <ulrich@bodenhofer.com>

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Package ConSciR updated to version 0.3.0 with previous version 0.2.0 dated 2025-09-10

Title: Tools for Conservation Science
Description: Provides data science tools for conservation science, including methods for environmental data analysis, humidity calculations, sustainability metrics, engineering calculations, and data visualisation. Supports conservators, scientists, and engineers working with cultural heritage preventive conservation data. The package is motivated by the framework outlined in Cosaert and Beltran et al. (2022) "Tools for the Analysis of Collection Environments" <https://www.getty.edu/conservation/publications_resources/pdf_publications/tools_for_the_analysis_of_collection_environments.html>.
Author: Bhavesh Shah [aut, cre, cph] , Annelies Cosaert [aut] , Vincent Beltran [aut], Emily R Long [ctb] , Marcin Zygmunt [ctb] , Hebe Halstead [ctb], Avery Bazemore [ctb]
Maintainer: Bhavesh Shah <bhaveshshah01@gmail.com>

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Package BGVAR updated to version 2.5.9 with previous version 2.5.8 dated 2024-09-30

Title: Bayesian Global Vector Autoregressions
Description: Estimation of Bayesian Global Vector Autoregressions (BGVAR) with different prior setups and the possibility to introduce stochastic volatility. Built-in priors include the Minnesota, the stochastic search variable selection and Normal-Gamma (NG) prior. For a reference see also Crespo Cuaresma, J., Feldkircher, M. and F. Huber (2016) "Forecasting with Global Vector Autoregressive Models: a Bayesian Approach", Journal of Applied Econometrics, Vol. 31(7), pp. 1371-1391 <doi:10.1002/jae.2504>. Post-processing functions allow for doing predictions, structurally identify the model with short-run or sign-restrictions and compute impulse response functions, historical decompositions and forecast error variance decompositions. Plotting functions are also available. The package has a companion paper: Boeck, M., Feldkircher, M. and F. Huber (2022) "BGVAR: Bayesian Global Vector Autoregressions with Shrinkage Priors in R", Journal of Statistical Software, Vol. 104(9), pp. 1-28 <doi:10.18 [...truncated...]
Author: Maximilian Boeck [aut, cre] , Martin Feldkircher [aut] , Florian Huber [aut] , Darjus Hosszejni [ctb]
Maintainer: Maximilian Boeck <maximilian.boeck@fau.de>

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Package tranSurv readmission to version 1.2.4 with previous version 1.2.3 dated 2025-05-27

Title: Transformation-Based Regression under Dependent Truncation
Description: A latent, quasi-independent truncation time is assumed to be linked with the observed dependent truncation time, the event time, and an unknown transformation parameter via a structural transformation model. The transformation parameter is chosen to minimize the conditional Kendall's tau (Martin and Betensky, 2005) <doi:10.1198/016214504000001538> or the regression coefficient estimates (Jones and Crowley, 1992) <doi:10.2307/2336782>. The marginal distribution for the truncation time and the event time are completely left unspecified. The methodology is applied to survival curve estimation and regression analysis.
Author: Sy Han Chiou [aut, cre], Jing Qian [aut]
Maintainer: Sy Han (Steven) Chiou <schiou@smu.edu>

This is a re-admission after prior archival of version 1.2.3 dated 2025-05-27

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Package spant updated to version 3.6.0 with previous version 3.5.0 dated 2025-08-18

Title: MR Spectroscopy Analysis Tools
Description: Tools for reading, visualising and processing Magnetic Resonance Spectroscopy data. The package includes methods for spectral fitting: Wilson (2021) <DOI:10.1002/mrm.28385>, Wilson (2025) <DOI:10.1002/mrm.30462> and spectral alignment: Wilson (2018) <DOI:10.1002/mrm.27605>.
Author: Martin Wilson [cre, aut] , Yong Wang [ctb], John Muschelli [ctb]
Maintainer: Martin Wilson <martin@pipegrep.co.uk>

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Package PurpleAir updated to version 1.1.0 with previous version 1.0.1 dated 2024-10-08

Title: Query the 'PurpleAir' Application Programming Interface
Description: Send requests to the 'PurpleAir' Application Programming Interface (API; <https://community.purpleair.com/c/data/api/18>). Check a 'PurpleAir' API key and get information about the related organization. Download real-time data from a single 'PurpleAir' sensor or many sensors by sensor identifier, geographical bounding box, or time since modified. Download historical data from a single sensor. Stream real time data from monitors on a local area network.
Author: Cole Brokamp [aut, cre, cph]
Maintainer: Cole Brokamp <cole@colebrokamp.com>

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Package mapgl updated to version 0.4.1 with previous version 0.4.0 dated 2025-08-18

Title: Interactive Maps with 'Mapbox GL JS' and 'MapLibre GL JS'
Description: Provides an interface to the 'Mapbox GL JS' (<https://docs.mapbox.com/mapbox-gl-js/guides>) and the 'MapLibre GL JS' (<https://maplibre.org/maplibre-gl-js/docs/>) interactive mapping libraries to help users create custom interactive maps in R. Users can create interactive globe visualizations; layer 'sf' objects to create filled maps, circle maps, 'heatmaps', and three-dimensional graphics; and customize map styles and views. The package also includes utilities to use 'Mapbox' and 'MapLibre' maps in 'Shiny' web applications.
Author: Kyle Walker [aut, cre]
Maintainer: Kyle Walker <kyle@walker-data.com>

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Package rtiktokads updated to version 0.3.4 with previous version 0.3.3 dated 2025-09-22

Title: Load Data from 'tiktok Marketing API'
Description: Loading data from 'tiktok Marketing API' <https://business-api.tiktok.com/portal> by business centers, advertisers, budgets and reports.
Author: Alexey Seleznev [aut, cre] , Netpeak [cph]
Maintainer: Alexey Seleznev <selesnow@gmail.com>

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Package ractivecampaign updated to version 0.6.0 with previous version 0.2.0 dated 2021-11-12

Title: Loading Data from 'ActiveCampaign API v3'
Description: Interface for loading data from 'ActiveCampaign API v3' <https://developers.activecampaign.com/reference>. Provide functions for getting data by deals, contacts, accounts, campaigns and messages.
Author: Alexey Seleznev [aut, cre] , Netpeak [cph]
Maintainer: Alexey Seleznev <selesnow@gmail.com>

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Package EMC2 updated to version 3.2.1 with previous version 3.2.0 dated 2025-06-27

Title: Bayesian Hierarchical Analysis of Cognitive Models of Choice
Description: Fit Bayesian (hierarchical) cognitive models using a linear modeling language interface using particle Metropolis Markov chain Monte Carlo sampling with Gibbs steps. The diffusion decision model (DDM), linear ballistic accumulator model (LBA), racing diffusion model (RDM), and the lognormal race model (LNR) are supported. Additionally, users can specify their own likelihood function and/or choose for non-hierarchical estimation, as well as for a diagonal, blocked or full multivariate normal group-level distribution to test individual differences. Prior specification is facilitated through methods that visualize the (implied) prior. A wide range of plotting functions assist in assessing model convergence and posterior inference. Models can be easily evaluated using functions that plot posterior predictions or using relative model comparison metrics such as information criteria or Bayes factors. References: Stevenson et al. (2024) <doi:10.31234/osf.io/2e4dq>.
Author: Niek Stevenson [aut, cre] , Michelle Donzallaz [aut], Andrew Heathcote [aut], Steven Miletic [ctb], Raphael Hartmann [ctb], Karl C. Klauer [ctb], Steven G. Johnson [ctb], Jean M. Linhart [ctb], Brian Gough [ctb], Gerard Jungman [ctb], Rudolf Schuerer [...truncated...]
Maintainer: Niek Stevenson <niek.stevenson@gmail.com>

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Package colorspace updated to version 2.1-2 with previous version 2.1-1 dated 2024-07-26

Title: A Toolbox for Manipulating and Assessing Colors and Palettes
Description: Carries out mapping between assorted color spaces including RGB, HSV, HLS, CIEXYZ, CIELUV, HCL (polar CIELUV), CIELAB, and polar CIELAB. Qualitative, sequential, and diverging color palettes based on HCL colors are provided along with corresponding ggplot2 color scales. Color palette choice is aided by an interactive app (with either a Tcl/Tk or a shiny graphical user interface) and shiny apps with an HCL color picker and a color vision deficiency emulator. Plotting functions for displaying and assessing palettes include color swatches, visualizations of the HCL space, and trajectories in HCL and/or RGB spectrum. Color manipulation functions include: desaturation, lightening/darkening, mixing, and simulation of color vision deficiencies (deutanomaly, protanomaly, tritanomaly). Details can be found on the project web page at <https://colorspace.R-Forge.R-project.org/> and in the accompanying scientific paper: Zeileis et al. (2020, Journal of Statistical Software, <doi:10.18637/ [...truncated...]
Author: Ross Ihaka [aut], Paul Murrell [aut] , Kurt Hornik [aut] , Jason C. Fisher [aut] , Reto Stauffer [aut] , Claus O. Wilke [aut] , Claire D. McWhite [aut] , Achim Zeileis [aut, cre]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package annotator updated to version 0.0.3.2 with previous version 0.0.3.1 dated 2023-10-18

Title: Image Annotation and Polygon Outlining using Free Drawing
Description: Provides functions to create image annotations through polygon outlining. Annotator has the same function as 'graphics::locator()' but achieves its purpose through drawing, rather than multiple mouse clicks. It is based on the 'htmlwidgets' package and 'fabric.js' JavaScript library <https://fabricjs.com/>.
Author: Mihai Valcu [aut, cre]
Maintainer: Mihai Valcu <mvalcu@gwdg.de>

Diff between annotator versions 0.0.3.1 dated 2023-10-18 and 0.0.3.2 dated 2025-09-22

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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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Package Sshaped updated to version 1.2 with previous version 1.1 dated 2022-10-13

Title: Nonparametric, Tuning-Free Estimation of S-Shaped Functions
Description: Estimation of an S-shaped function and its corresponding inflection point via a least squares approach. A sequential mixed primal-dual based algorithm is implemented for the fast computation. Details can be found in Feng et al. (2022) <doi:10.1111/rssb.12481>.
Author: Oliver Y. Feng [aut], Yining Chen [aut, cre], Qiyang Han [aut], Raymond J. Carroll [aut], Richard J. Samworth [aut]
Maintainer: Yining Chen <y.chen101@lse.ac.uk>

Diff between Sshaped versions 1.1 dated 2022-10-13 and 1.2 dated 2025-09-22

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Package sdsfun updated to version 0.8.1 with previous version 0.8.0 dated 2025-05-12

Title: Spatial Data Science Complementary Features
Description: Wrapping and supplementing commonly used functions in the R ecosystem related to spatial data science, while serving as a basis for other packages maintained by Wenbo Lv.
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

Diff between sdsfun versions 0.8.0 dated 2025-05-12 and 0.8.1 dated 2025-09-22

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Package pathling updated to version 8.1.0 with previous version 8.0.2 dated 2025-09-15

Title: A Library for using 'Pathling'
Description: R API for 'Pathling', a tool for querying and transforming electronic health record data that is represented using the 'Fast Healthcare Interoperability Resources' (FHIR) standard - see <https://pathling.csiro.au/docs>.
Author: Australian e-Health Research Centre, CSIRO [cph, cre], Piotr Szul [aut], John Grimes [aut]
Maintainer: "Australian e-Health Research Centre, CSIRO" <pathling@csiro.au>

Diff between pathling versions 8.0.2 dated 2025-09-15 and 8.1.0 dated 2025-09-22

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Package multilevLCA updated to version 2.1.0 with previous version 2.0.1 dated 2025-02-27

Title: Estimates and Plots Single-Level and Multilevel Latent Class Models
Description: Efficiently estimates single- and multilevel latent class models with covariates, allowing for output visualization in all specifications. For more technical details, see Lyrvall et al. (2025) <doi:10.1080/00273171.2025.2473935>.
Author: Roberto Di Mari [aut, cre], Johan Lyrvall [aut], Zsuzsa Bakk [ctb], Jennifer Oser [ctb], Jouni Kuha [ctb]
Maintainer: Roberto Di Mari <roberto.dimari@unict.it>

Diff between multilevLCA versions 2.0.1 dated 2025-02-27 and 2.1.0 dated 2025-09-22

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Package rtiktokads updated to version 0.3.3 with previous version 0.3.2 dated 2025-09-03

Title: Load Data from 'tiktok Marketing API'
Description: Loading data from 'tiktok Marketing API' <https://business-api.tiktok.com/portal> by business centers, advertisers, budgets and reports.
Author: Alexey Seleznev [aut, cre] , Netpeak [cph]
Maintainer: Alexey Seleznev <selesnow@gmail.com>

Diff between rtiktokads versions 0.3.2 dated 2025-09-03 and 0.3.3 dated 2025-09-22

 DESCRIPTION               |    6 +++---
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Package GenOrd updated to version 2.0.0 with previous version 1.4.0 dated 2015-09-12

Title: Simulation of Discrete Random Variables with Given Correlation Matrix and Marginal Distributions via a Gaussian or Student's t Copula
Description: A Gaussian or Student's t copula-based procedure for generating samples from discrete random variables with prescribed correlation matrix and marginal distributions.
Author: Alessandro Barbiero [aut, cre], Pier Alda Ferrari [aut]
Maintainer: Alessandro Barbiero <alessandro.barbiero@unimi.it>

Diff between GenOrd versions 1.4.0 dated 2015-09-12 and 2.0.0 dated 2025-09-22

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Package ForIT updated to version 2.5.1 with previous version 2.5.0 dated 2025-04-25

Title: Functions to Estimate Tree Volume and Phytomass in the Italian Forest Inventory 2005
Description: Tabacchi et al. (2011) published a very detailed study producing a uniform system of functions to estimate tree volume and phytomass components (stem, branches, stool). The estimates of the 2005 Italian forest inventory (<https://www.inventarioforestale.org/it/>) are based on these functions. The study documents the domain of applicability of each function and the equations to quantify estimates accuracies for individual estimates as well as for aggregated estimates. This package makes the functions available in the R environment. Version 2 exposes two distinct functions for individual and summary estimates. To facilitate access to the functions, tree species identification is now based on EPPO species codes (<https://data.eppo.int/>).
Author: Nicola Puletti [aut, cre] , Mirko Grotti [aut], Roberto Scotti [aut]
Maintainer: Nicola Puletti <nicola.puletti@gmail.com>

Diff between ForIT versions 2.5.0 dated 2025-04-25 and 2.5.1 dated 2025-09-22

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 NAMESPACE      |    1 +
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Package Coxmos updated to version 1.1.5 with previous version 1.1.3 dated 2025-06-02

Title: Cox MultiBlock Survival
Description: This software package provides Cox survival analysis for high-dimensional and multiblock datasets. It encompasses a suite of functions dedicated from the classical Cox regression to newest analysis, including Cox proportional hazards model, Stepwise Cox regression, and Elastic-Net Cox regression, Sparse Partial Least Squares Cox regression (sPLS-COX) incorporating three distinct strategies, and two Multiblock-PLS Cox regression (MB-sPLS-COX) methods. This tool is designed to adeptly handle high-dimensional data, and provides tools for cross-validation, plot generation, and additional resources for interpreting results. While references are available within the corresponding functions, key literature is mentioned below. Terry M Therneau (2024) <https://CRAN.R-project.org/package=survival>, Noah Simon et al. (2011) <doi:10.18637/jss.v039.i05>, Philippe Bastien et al. (2005) <doi:10.1016/j.csda.2004.02.005>, Philippe Bastien (2008) <doi:10.1016/j.chemolab.2007.09.009& [...truncated...]
Author: Pedro Salguero [aut, cre, rev] , Sonia Tarazona Campos [ths], Kassu Mehari Beyene [ctb], Luis Meira Machado [ctb], Marta Sestelo [ctb], Artur Araujo [ctb]
Maintainer: Pedro Salguero <pedsalga@upv.edu.es>

Diff between Coxmos versions 1.1.3 dated 2025-06-02 and 1.1.5 dated 2025-09-22

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Package bregr updated to version 1.3.0 with previous version 1.2.0 dated 2025-08-19

Title: Easy and Efficient Batch Processing of Regression Models
Description: Easily processes batches of univariate or multivariate regression models. Returns results in a tidy format and generates visualization plots for straightforward interpretation (Wang, Shixiang, et al. (2021) <DOI:10.1002/mdr2.70028>).
Author: Shixiang Wang [aut, cre] , Yun Peng [aut] , Chenyang Shu [aut]
Maintainer: Shixiang Wang <w_shixiang@163.com>

Diff between bregr versions 1.2.0 dated 2025-08-19 and 1.3.0 dated 2025-09-22

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 18 files changed, 152 insertions(+), 128 deletions(-)

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Package Rparadox updated to version 0.1.2 with previous version 0.1.1 dated 2025-09-16

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

Diff between Rparadox versions 0.1.1 dated 2025-09-16 and 0.1.2 dated 2025-09-22

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 vignettes/Rparadox.Rmd         |    5 +
 11 files changed, 263 insertions(+), 206 deletions(-)

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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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Package mpactr (with last version 0.3.0) was removed from CRAN

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

2025-09-07 0.3.0
2025-03-28 0.2.1
2025-03-13 0.2.0
2024-09-10 0.1.0

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Package T4cluster updated to version 0.1.4 with previous version 0.1.2 dated 2021-08-16

Title: Tools for Cluster Analysis
Description: Cluster analysis is one of the most fundamental problems in data science. We provide a variety of algorithms from clustering to the learning on the space of partitions. See Hennig, Meila, and Rocci (2016, ISBN:9781466551886) for general exposition to cluster analysis.
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kisung.you@outlook.com>

Diff between T4cluster versions 0.1.2 dated 2021-08-16 and 0.1.4 dated 2025-09-22

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 MD5                                      |   54 +++++++++-----
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 37 files changed, 232 insertions(+), 103 deletions(-)

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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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Package Rdimtools updated to version 1.1.3 with previous version 1.1.2 dated 2022-12-15

Title: Dimension Reduction and Estimation Methods
Description: We provide linear and nonlinear dimension reduction techniques. Intrinsic dimension estimation methods for exploratory analysis are also provided. For more details on the package, see the paper by You and Shung (2022) <doi:10.1016/j.simpa.2022.100414>.
Author: Kisung You [aut, cre] , Changhee Suh [ctb], Dennis Shung [ctb]
Maintainer: Kisung You <kisung.you@outlook.com>

Diff between Rdimtools versions 1.1.2 dated 2022-12-15 and 1.1.3 dated 2025-09-22

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 16 files changed, 84 insertions(+), 86 deletions(-)

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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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Package mclustcomp updated to version 0.3.5 with previous version 0.3.3 dated 2021-06-13

Title: Measures for Comparing Clusters
Description: Given a set of data points, a clustering is defined as a disjoint partition where each pair of sets in a partition has no overlapping elements. This package provides 25 methods that play a role somewhat similar to distance or metric that measures similarity of two clusterings - or partitions. For a more detailed description, see Meila, M. (2005) <doi:10.1145/1102351.1102424>.
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kisung.you@outlook.com>

Diff between mclustcomp versions 0.3.3 dated 2021-06-13 and 0.3.5 dated 2025-09-22

 mclustcomp-0.3.3/mclustcomp/man/get.confusion.Rd      |only
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 mclustcomp-0.3.5/mclustcomp/R/cat2_SetOverlap.R       |   38 ++++++++++--
 mclustcomp-0.3.5/mclustcomp/R/mclustcomp.R            |    2 
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 mclustcomp-0.3.5/mclustcomp/README.md                 |   13 ++--
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 mclustcomp-0.3.5/mclustcomp/src/auxiliary.cpp         |   54 +++++++++---------
 mclustcomp-0.3.5/mclustcomp/src/auxiliary_arma.cpp    |only
 17 files changed, 115 insertions(+), 88 deletions(-)

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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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Package BKP readmission to version 0.2.3 with previous version 0.2.1 dated 2025-09-17

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

This is a re-admission after prior archival of version 0.2.1 dated 2025-09-17

Diff between BKP versions 0.2.1 dated 2025-09-17 and 0.2.3 dated 2025-09-22

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Package condor updated to version 3.0.1 with previous version 3.0.0 dated 2024-11-12

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

Diff between condor versions 3.0.0 dated 2024-11-12 and 3.0.1 dated 2025-09-22

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Package BeeBDC updated to version 1.3.1 with previous version 1.3.0 dated 2025-08-23

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

Diff between BeeBDC versions 1.3.0 dated 2025-08-23 and 1.3.1 dated 2025-09-22

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Package turner updated to version 0.2.0 with previous version 0.1.9 dated 2024-04-04

Title: Turn Vectors and Lists of Vectors into Indexed Structures
Description: Package designed for working with vectors and lists of vectors, mainly for turning them into other indexed data structures.
Author: Frederic Bertrand [cre] , Gaston Sanchez [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

Diff between turner versions 0.1.9 dated 2024-04-04 and 0.2.0 dated 2025-09-22

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Package tinyplot updated to version 0.5.0 with previous version 0.4.2 dated 2025-07-11

Title: Lightweight Extension of the Base R Graphics System
Description: Lightweight extension of the base R graphics system, with support for automatic legends, facets, themes, and various other enhancements.
Author: Grant McDermott [aut, cre] , Vincent Arel-Bundock [aut] , Achim Zeileis [aut] , Etienne Bacher [ctb]
Maintainer: Grant McDermott <gmcd@amazon.com>

Diff between tinyplot versions 0.4.2 dated 2025-07-11 and 0.5.0 dated 2025-09-22

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Package tester updated to version 0.3.0 with previous version 0.2.0 dated 2024-04-04

Title: Tests and Checks Characteristics of R Objects
Description: Allows users to test characteristics of common R objects.
Author: Frederic Bertrand [cre] , Gaston Sanchez [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

Diff between tester versions 0.2.0 dated 2024-04-04 and 0.3.0 dated 2025-09-22

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Package SunCalcMeeus updated to version 0.1.3 with previous version 0.1.2 dated 2025-01-09

Title: Sun Position and Daylight Calculations
Description: Compute the position of the sun, and local solar time using Meeus' formulae. Compute day and/or night length using different twilight definitions or arbitrary sun elevation angles. This package is part of the 'r4photobiology' suite, Aphalo, P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>. Algorithms from Meeus (1998, ISBN:0943396611).
Author: Pedro J. Aphalo [aut, cre]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

Diff between SunCalcMeeus versions 0.1.2 dated 2025-01-09 and 0.1.3 dated 2025-09-22

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Package spatstat.explore updated to version 3.5-3 with previous version 3.5-2 dated 2025-07-22

Title: Exploratory Data Analysis for the 'spatstat' Family
Description: Functionality for exploratory data analysis and nonparametric analysis of spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Warick Brown [cph], Achmad Choiruddin [ctb], Ya-Mei Chang [ctb], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.explore versions 3.5-2 dated 2025-07-22 and 3.5-3 dated 2025-09-22

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Package ROptSpace updated to version 0.2.4 with previous version 0.2.3 dated 2021-08-16

Title: Matrix Reconstruction from a Few Entries
Description: Matrix reconstruction, also known as matrix completion, is the task of inferring missing entries of a partially observed matrix. This package provides a method called OptSpace, which was proposed by Keshavan, R.H., Oh, S., and Montanari, A. (2009) <doi:10.1109/ISIT.2009.5205567> for a case under low-rank assumption.
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kisung.you@outlook.com>

Diff between ROptSpace versions 0.2.3 dated 2021-08-16 and 0.2.4 dated 2025-09-22

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Package Rlinsolve updated to version 0.3.3 with previous version 0.3.2 dated 2021-08-21

Title: Iterative Solvers for (Sparse) Linear System of Equations
Description: Solving a system of linear equations is one of the most fundamental computational problems for many fields of mathematical studies, such as regression problems from statistics or numerical partial differential equations. We provide basic stationary iterative solvers such as Jacobi, Gauss-Seidel, Successive Over-Relaxation and SSOR methods. Nonstationary, also known as Krylov subspace methods are also provided. Sparse matrix computation is also supported in that solving large and sparse linear systems can be manageable using 'Matrix' package along with 'RcppArmadillo'. For a more detailed description, see a book by Saad (2003) <doi:10.1137/1.9780898718003>.
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kisung.you@outlook.com>

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Package NetworkDistance updated to version 0.3.6 with previous version 0.3.4 dated 2021-08-21

Title: Distance Measures for Networks
Description: Network is a prevalent form of data structure in many fields. As an object of analysis, many distance or metric measures have been proposed to define the concept of similarity between two networks. We provide a number of distance measures for networks. See Jurman et al (2011) <doi:10.3233/978-1-60750-692-8-227> for an overview on spectral class of inter-graph distance measures.
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kisung.you@outlook.com>

Diff between NetworkDistance versions 0.3.4 dated 2021-08-21 and 0.3.6 dated 2025-09-22

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Package bmp updated to version 0.3.1 with previous version 0.3 dated 2017-09-11

Title: Read Windows Bitmap (BMP) Images
Description: Reads Windows BMP format images. Currently limited to 8 bit greyscale images and 24,32 bit (A)RGB images. Pure R implementation without external dependencies.
Author: Gregory Jefferis [aut, cre]
Maintainer: Gregory Jefferis <jefferis@gmail.com>

Diff between bmp versions 0.3 dated 2017-09-11 and 0.3.1 dated 2025-09-22

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