Tue, 01 Apr 2025

Package tigerstats (with last version 0.3.2) was removed from CRAN

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

2020-06-15 0.3.2
2016-12-18 0.3
2015-09-23 0.2.7
2015-05-23 0.2-6
2014-12-03 0.2
2014-08-11 0.1.6
2014-03-24 0.1.3
2014-03-10 0.1.2-8

Permanent link
Package addScales (with last version 1.0-1) was removed from CRAN

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

2020-06-11 1.0-1
2020-05-06 0.1-5

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Package wrGraph updated to version 1.3.9 with previous version 1.3.8 dated 2024-11-21

Title: Graphics in the Context of Analyzing High-Throughput Data
Description: Additional options for making graphics in the context of analyzing high-throughput data are available here. This includes automatic segmenting of the current device (eg window) to accommodate multiple new plots, automatic checking for optimal location of legends in plots, small histograms to insert as legends, histograms re-transforming axis labels to linear when plotting log2-transformed data, a violin-plot <doi:10.1080/00031305.1998.10480559> function for a wide variety of input-formats, principal components analysis (PCA) <doi:10.1080/14786440109462720> with bag-plots <doi:10.1080/00031305.1999.10474494> to highlight and compare the center areas for groups of samples, generic MA-plots (differential- versus average-value plots) <doi:10.1093/nar/30.4.e15>, staggered count plots and generation of mouse-over interactive html pages.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

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Package ctxR updated to version 1.1.1 with previous version 1.1.0 dated 2025-01-08

Title: Utilities for Interacting with the 'CTX' APIs
Description: Access chemical, hazard, bioactivity, and exposure data from the Computational Toxicology and Exposure ('CTX') APIs <https://www.epa.gov/comptox-tools/computational-toxicology-and-exposure-apis>. 'ctxR' was developed to streamline the process of accessing the information available through the 'CTX' APIs without requiring prior knowledge of how to use APIs. Most data is also available on the CompTox Chemical Dashboard ('CCD') <https://comptox.epa.gov/dashboard/> and other resources found at the EPA Computational Toxicology and Exposure Online Resources <https://www.epa.gov/comptox-tools>.
Author: Paul Kruse [aut] , Caroline Ring [aut] , Madison Feshuk [ctb] , Carter Thunes [ctb], Jason Brown [cre]
Maintainer: Jason Brown <brown.jason@epa.gov>

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Package wrProteo updated to version 1.13.1 with previous version 1.13.0 dated 2024-11-18

Title: Proteomics Data Analysis Functions
Description: Data analysis of proteomics experiments by mass spectrometry is supported by this collection of functions mostly dedicated to the analysis of (bottom-up) quantitative (XIC) data. Fasta-formatted proteomes (eg from UniProt Consortium <doi:10.1093/nar/gky1049>) can be read with automatic parsing and multiple annotation types (like species origin, abbreviated gene names, etc) extracted. Initial results from multiple software for protein (and peptide) quantitation can be imported (to a common format): MaxQuant (Tyanova et al 2016 <doi:10.1038/nprot.2016.136>), Dia-NN (Demichev et al 2020 <doi:10.1038/s41592-019-0638-x>), Fragpipe (da Veiga et al 2020 <doi:10.1038/s41592-020-0912-y>), ionbot (Degroeve et al 2021 <doi:10.1101/2021.07.02.450686>), MassChroq (Valot et al 2011 <doi:10.1002/pmic.201100120>), OpenMS (Strauss et al 2021 <doi:10.1038/nmeth.3959>), ProteomeDiscoverer (Orsburn 2021 <doi:10.3390/proteomes9010015>), Proline (Bouyssie et a [...truncated...]
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

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Package mongolite updated to version 4.0.0 with previous version 3.1.2 dated 2025-03-17

Title: Fast and Simple 'MongoDB' Client for R
Description: High-performance MongoDB client based on 'mongo-c-driver' and 'jsonlite'. Includes support for aggregation, indexing, map-reduce, streaming, encryption, enterprise authentication, and GridFS. The online user manual provides an overview of the available methods in the package: <https://jeroen.github.io/mongolite/>.
Author: Jeroen Ooms [aut, cre] , MongoDB, Inc [cph]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package maestro updated to version 0.5.3 with previous version 0.5.2 dated 2025-03-14

Title: Orchestration of Data Pipelines
Description: Framework for creating and orchestrating data pipelines. Organize, orchestrate, and monitor multiple pipelines in a single project. Use tags to decorate functions with scheduling parameters and configuration.
Author: Will Hipson [cre, aut, cph] , Ryan Garnett [aut, ctb, cph]
Maintainer: Will Hipson <will.e.hipson@gmail.com>

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Package jobqueue updated to version 1.6.0 with previous version 1.5.1 dated 2025-02-28

Title: Run Interruptible Code Asynchronously
Description: Takes an R expression and returns a Job object with a $stop() method which can be called to terminate the background job. Also provides timeouts and other mechanisms for automatically terminating a background job. The result of the expression is available synchronously via $result or asynchronously with callbacks or through the 'promises' package framework.
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

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Package glassdoor updated to version 0.9.0 with previous version 0.8.1 dated 2018-11-21

Title: Interface to 'Glassdoor' API
Description: Interacts with the 'Glassdoor' API <https://www.glassdoor.com/developer/index.htm>. Allows the user to search job statistics, employer statistics, and job progression, where 'Glassdoor' provides a breakdown of other jobs a person did after their current one.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

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Package teal.modules.general updated to version 0.4.1 with previous version 0.4.0 dated 2025-02-28

Title: General Modules for 'teal' Applications
Description: Prebuilt 'shiny' modules containing tools for viewing data, visualizing data, understanding missing and outlier values within your data and performing simple data analysis. This extends 'teal' framework that supports reproducible research and analysis.
Author: Dawid Kaledkowski [aut, cre], Pawel Rucki [aut], Mahmoud Hallal [aut], Ondrej Slama [ctb], Maciej Nasinski [aut], Konrad Pagacz [aut], Nikolas Burkoff [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@roche.com>

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Package sdmTMB updated to version 0.7.0 with previous version 0.6.0 dated 2024-05-29

Title: Spatial and Spatiotemporal SPDE-Based GLMMs with 'TMB'
Description: Implements spatial and spatiotemporal GLMMs (Generalized Linear Mixed Effect Models) using 'TMB', 'fmesher', and the SPDE (Stochastic Partial Differential Equation) Gaussian Markov random field approximation to Gaussian random fields. One common application is for spatially explicit species distribution models (SDMs). See Anderson et al. (2024) <doi:10.1101/2022.03.24.485545>.
Author: Sean C. Anderson [aut, cre] , Eric J. Ward [aut] , Philina A. English [aut] , Lewis A. K. Barnett [aut] , James T. Thorson [aut, cph] , Joe Watson [ctb] , Julia Indivero [ctb] , Jillian C. Dunic [ctb] , Cole C. Monnahan [ctb, cph] , Mollie Brooks [ct [...truncated...]
Maintainer: Sean C. Anderson <sean@seananderson.ca>

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Package tuber updated to version 1.0.1 with previous version 0.9.9 dated 2020-06-11

Title: Client for the YouTube API
Description: Get comments posted on YouTube videos, information on how many times a video has been liked, search for videos with particular content, and much more. You can also scrape captions from a few videos. To learn more about the YouTube API, see <https://developers.google.com/youtube/v3/>.
Author: Gaurav Sood [aut, cre], Kate Lyons [ctb], John Muschelli [ctb]
Maintainer: Gaurav Sood <gsood07@gmail.com>

Diff between tuber versions 0.9.9 dated 2020-06-11 and 1.0.1 dated 2025-04-01

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Package gglm updated to version 1.0.4 with previous version 1.0.3 dated 2024-01-16

Title: Grammar of Graphics for Linear Model Diagnostic Plots
Description: Allows for easy creation of diagnostic plots for a variety of model objects using the Grammar of Graphics. Provides functionality for both individual diagnostic plots and an array of four standard diagnostic plots.
Author: Grayson White [aut, cre]
Maintainer: Grayson White <graysonwhite13@gmail.com>

Diff between gglm versions 1.0.3 dated 2024-01-16 and 1.0.4 dated 2025-04-01

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Package texor updated to version 1.5.6 with previous version 1.5.3 dated 2024-12-13

Title: Converting 'LaTeX' 'R Journal' Articles into 'RJ-web-articles'
Description: Articles in the 'R Journal' were first authored in 'LaTeX', which performs admirably for 'PDF' files but is less than ideal for modern online interfaces. The 'texor' package does all the transitional chores and conversions necessary to move to the online versions.
Author: Abhishek Ulayil [aut, cre, cph] , Heather Turner [ctb] , Christophe Dervieux [ctb] , Mitchell O'Hara-Wild [ctb] , Dianne Cook [ctb] , Yinxiang Huang [ctb]
Maintainer: Abhishek Ulayil <perricoq@outlook.com>

Diff between texor versions 1.5.3 dated 2024-12-13 and 1.5.6 dated 2025-04-01

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Permanent link

Package tab2xml updated to version 1.1.0 with previous version 1.0.0 dated 2025-02-21

Title: XML Generation from Tables
Description: Converting structured data from tables into XML format using predefined templates ensures consistency and flexibility, making it ideal for data exchange, reporting, and automated workflows.
Author: Jose Samos [aut, cre] , Universidad de Granada [cph]
Maintainer: Jose Samos <jsamos@ugr.es>

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Package rskey updated to version 0.4.19 with previous version 0.4.4 dated 2020-06-05

Title: Create Custom 'Rstudio' Keyboard Shortcuts
Description: Create custom keyboard shortcuts to examine code selected in the 'Rstudio' editor. F3 can for example yield 'str(selection)' and F7 open the source code of CRAN and base package functions on 'github'.
Author: Berry Boessenkool [aut, cre]
Maintainer: Berry Boessenkool <berry-b@gmx.de>

Diff between rskey versions 0.4.4 dated 2020-06-05 and 0.4.19 dated 2025-04-01

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Package neurohcp updated to version 0.11.0 with previous version 0.9.0 dated 2020-10-14

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

Diff between neurohcp versions 0.9.0 dated 2020-10-14 and 0.11.0 dated 2025-04-01

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Permanent link

Package stapler updated to version 0.8.0 with previous version 0.7.1 dated 2020-01-09

Title: Simultaneous Truth and Performance Level Estimation
Description: An implementation of Simultaneous Truth and Performance Level Estimation (STAPLE) <doi:10.1109/TMI.2004.828354>. This method is used when there are multiple raters for an object, typically an image, and this method fuses these ratings into one rating. It uses an expectation-maximization method to estimate this rating and the individual specificity/sensitivity for each rater.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between stapler versions 0.7.1 dated 2020-01-09 and 0.8.0 dated 2025-04-01

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New package semboottools with initial version 0.1.0
Package: semboottools
Title: Bootstrapping Helpers for Structural Equation Modelling
Version: 0.1.0
Description: A collection of helper functions for forming bootstrapping confidence intervals and examining bootstrap estimates in structural equation modelling. Currently supports models fitted by the 'lavaan' package by Rosseel (2012) <doi:10.18637/jss.v048.i02>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: boot, lavaan, psych, lavaan.printer
URL: https://Yangzhen1999.github.io/semboottools/
BugReports: https://github.com/Yangzhen1999/semboottools/issues
NeedsCompilation: no
Packaged: 2025-03-30 14:06:57 UTC; Administrator
Author: Wendie Yang [aut, cre] , Shu Fai Cheung [aut]
Maintainer: Wendie Yang <1581075494q@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-01 16:40:06 UTC

More information about semboottools at CRAN
Permanent link

New package RRgeo with initial version 0.0.3
Package: RRgeo
Title: Species Distribution Modelling for Rare Species
Version: 0.0.3
Description: Performs species distribution modeling for rare species with unprecedented accuracy (Mondanaro et al., 2023 <doi:10.1111/2041-210X.14066>) and finds the area of origin of species and past contact between them taking climatic variability in full consideration (Mondanaro et al., 2025 <doi:10.1111/2041-210X.14478>).
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: ape, methods,pbapply,Rphylopars,RRphylo,dismo (>= 1.3),gtools, terra, adehabitatMA, ecospat (>= 3.2.1), foreach, doParallel, PresenceAbsence, parallel, ade4, sp, sf,scales, ks, leastcostpath, doSNOW, biomod2 (>= 4.2),utils
Suggests: ggplot2, cowplot, openxlsx, Bchron, curl, rnaturalearth (>= 1.0.1), rnaturalearthhires, spatstat.geom, spatstat.explore, knitr, httr, jsonlite
Additional_repositories: http://packages.ropensci.org
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-31 09:06:22 UTC; Utente
Author: Alessandro Mondanaro [aut], Mirko Di Febbraro [aut], Silvia Castiglione [aut, cre], Carmela Serio [aut], Marina Melchionna [aut], Giorgia Girardi [aut], Pasquale Raia [aut]
Maintainer: Silvia Castiglione <silvia.castiglione@unina.it>
Repository: CRAN
Date/Publication: 2025-04-01 16:20:10 UTC

More information about RRgeo at CRAN
Permanent link

Package MuMIn updated to version 1.48.11 with previous version 1.48.4 dated 2024-06-22

Title: Multi-Model Inference
Description: Tools for model selection and model averaging with support for a wide range of statistical models. Automated model selection through subsets of the maximum model, with optional constraints for model inclusion. Averaging of model parameters and predictions based on model weights derived from information criteria (AICc and alike) or custom model weighting schemes.
Author: Kamil Barton [aut, cre]
Maintainer: Kamil Barton <kamil.barton@go2.pl>

Diff between MuMIn versions 1.48.4 dated 2024-06-22 and 1.48.11 dated 2025-04-01

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Package LTRCtrees updated to version 1.1.2 with previous version 1.1.1 dated 2021-01-13

Title: Survival Trees to Fit Left-Truncated and Right-Censored and Interval-Censored Survival Data
Description: Recursive partition algorithms designed for fitting survival trees with left-truncated and right-censored (LTRC) data, as well as interval-censored data. The LTRC trees can also be used to fit survival trees with time-varying covariates.
Author: Wei Fu [aut], Jeffrey Simonoff [aut], Wenbo Jing [aut, cre]
Maintainer: Wenbo Jing <wj2093@stern.nyu.edu>

Diff between LTRCtrees versions 1.1.1 dated 2021-01-13 and 1.1.2 dated 2025-04-01

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New package LogisticEnsembles with initial version 0.5.0
Package: LogisticEnsembles
Title: Automatically Runs 36 Logistic Models (Individual and Ensembles)
Version: 0.5.0
Description: Automatically returns 36 logistic models including 23 individual models and 13 ensembles of models of logistic data. The package also returns 10 plots, 5 tables, and a summary report. The package automatically builds all 36 models, reports all results, and provides graphics to show how the models performed. This can be used for a wide range of data sets. The package includes medical data (the Pima Indians data set), and information about the performance of Lebron James. The package can be used to analyze many other examples, such as stock market data. The package automatically returns many values for each model, such as True Positive Rate, True Negative Rate, False Positive Rate, False Negative Rate, Positive Predictive Value, Negative Predictive Value, F1 Score, Area Under the Curve. The package also returns 36 Receiver Operating Characteristic (ROC) curves for each of the 36 models.
License: MIT + file LICENSE
Depends: adabag, arm, brnn, C50, car, corrplot, Cubist, doParallel, dplyr, e1071, gam, gbm, ggplot2, ggplotify, graphics, gridExtra, gt, ipred, klaR, MachineShop, magrittr, MASS, mda, parallel, pls, pROC, purrr, R (>= 2.10), randomForest, ranger, reactable, reactablefmtr, readr, rpart, scales, stats, tidyr, tree, utils, xgboost
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/InfiniteCuriosity/LogisticEnsembles
BugReports: https://github.com/InfiniteCuriosity/LogisticEnsembles/issues
NeedsCompilation: no
Packaged: 2025-03-30 23:39:17 UTC; russellconte
Author: Russ Conte [aut, cre, cph]
Maintainer: Russ Conte <russconte@mac.com>
Repository: CRAN
Date/Publication: 2025-04-01 16:10:01 UTC

More information about LogisticEnsembles at CRAN
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Package leanpubr updated to version 0.4.0 with previous version 0.3.1 dated 2018-08-16

Title: 'Leanpub' API Interface
Description: Provides access to the 'Leanpub' API <https://leanpub.com/help/api> for gathering information about publications and submissions to the 'Leanpub' platform.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between leanpubr versions 0.3.1 dated 2018-08-16 and 0.4.0 dated 2025-04-01

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New package GENEAcore with initial version 1.0.0
Package: GENEAcore
Title: Pre-Processing of 'GENEActiv' Data
Version: 1.0.0
Date: 2025-03-24
Maintainer: Jia Ying Chua <jiayingc@activinsights.com>
Description: Analytics to read in and segment raw 'GENEActiv' accelerometer data into epochs and events. For more details on the 'GENEActiv' device, see <https://activinsights.com/resources/geneactiv-support-1-2/>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: changepoint, signal, methods
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), GENEAread (>= 2.0.10), GENEAclassify
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-31 12:36:35 UTC; JiaYingChua
Author: Joss Langford [aut], Ian Long [aut], Jia Ying Chua [aut, cre], Activinsights Ltd [cph]
Repository: CRAN
Date/Publication: 2025-04-01 16:30:10 UTC

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New package ForecastingEnsembles with initial version 0.5.0
Package: ForecastingEnsembles
Title: Time Series Forecasting Using 23 Individual Models
Version: 0.5.0
Description: Runs multiple individual time series models, and combines them into an ensembles of time series models. This is mainly used to predict the results of the monthly labor market report from the United States Bureau of Labor Statistics for virtually any part of the economy reported by the Bureau of Labor Statistics, but it can be easily modified to work with other types of time series data. For example, the package was used to predict the winning men's and women's time for the 2024 London Marathon.
License: MIT + file LICENSE
Depends: doParallel, dplyr, fable, fabletools, fable.prophet, feasts, fracdiff, ggplot2, gt, magrittr, parallel, readr, stats, tibble, tidyr, tsibble, urca, utils, R (>= 2.10)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/InfiniteCuriosity/ForecastingEnsembles
BugReports: https://github.com/InfiniteCuriosity/ForecastingEnsembles/issues
NeedsCompilation: no
Packaged: 2025-03-31 00:06:49 UTC; russellconte
Author: Russ Conte [aut, cre, cph]
Maintainer: Russ Conte <russconte@mac.com>
Repository: CRAN
Date/Publication: 2025-04-01 16:20:14 UTC

More information about ForecastingEnsembles at CRAN
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Package filearray updated to version 0.2.0 with previous version 0.1.9 dated 2024-11-08

Title: File-Backed Array for Out-of-Memory Computation
Description: Stores large arrays in files to avoid occupying large memories. Implemented with super fast gigabyte-level multi-threaded reading/writing via 'OpenMP'. Supports multiple non-character data types (double, float, complex, integer, logical, and raw).
Author: Zhengjia Wang [aut, cre, cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

Diff between filearray versions 0.1.9 dated 2024-11-08 and 0.2.0 dated 2025-04-01

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New package emend with initial version 0.1.0
Package: emend
Title: Cleaning Text Data with an AI Assistant
Version: 0.1.0
Description: Provides functions to clean and standardize messy data, including textual categories and free-text addresses, using Large Language Models. The package corrects typos, expands abbreviations, and maps inconsistent entries to standardized values. Ideal for Bioinformatics, business, and general data cleaning tasks.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, jsonlite, rlang, ellmer
Depends: R (>= 4.1.0)
LazyData: true
Suggests: rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/anuopensci/emend, https://anuopensci.github.io/emend/
BugReports: https://github.com/anuopensci/emend/issues
NeedsCompilation: no
Packaged: 2025-03-31 00:07:48 UTC; u1133824
Author: Emi Tanaka [aut, cph] , Jiajia Li [aut, cre]
Maintainer: Jiajia Li <lijia970324@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-01 16:20:02 UTC

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New package ClassificationEnsembles with initial version 0.5.0
Package: ClassificationEnsembles
Title: Automatically Builds 20 Classification Models
Version: 0.5.0
Description: Automatically builds 20 classification models from data. The package returns 26 plots, 5 tables and a summary report. The package automatically builds 12 individual classification models, including error (RMSE) and predictions. That data is used to create an ensemble, which is then modeled using 8 methods. The process is repeated as many times as the user requests. The mean of the results are presented in a summary table. The package returns the confusion matrices for all 20 models, tables of the correlation of the numeric data, the results of the variance inflation process, the head of the ensemble and the head of the data frame.
License: MIT + file LICENSE
Depends: C50, car, caret, corrplot, doParallel, dplyr, e1071, ggplot2, gt, ipred, MachineShop, magrittr, parallel, pls, purrr, R (>= 2.10), randomForest, ranger, reactable, reactablefmtr, scales, tidyr, tree
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/InfiniteCuriosity/ClassificationEnsembles
BugReports: https://github.com/InfiniteCuriosity/ClassificationEnsembles/issues
NeedsCompilation: no
Packaged: 2025-03-30 22:25:56 UTC; russellconte
Author: Russ Conte [aut, cre, cph]
Maintainer: Russ Conte <russconte@mac.com>
Repository: CRAN
Date/Publication: 2025-04-01 16:10:05 UTC

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Package cforward updated to version 0.2.0 with previous version 0.1.0 dated 2021-03-29

Title: Forward Selection using Concordance/C-Index
Description: Performs forward model selection, using the C-index/concordance in survival analysis models.
Author: John Muschelli [aut, cre] , Andrew Leroux [aut]
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between cforward versions 0.1.0 dated 2021-03-29 and 0.2.0 dated 2025-04-01

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New package calcite with initial version 0.1.0
Package: calcite
Title: Bindings to the Calcite Design System 'JavaScript' Component Library
Version: 0.1.0
Description: Provides access to the 'Calcite Design System' 'javascript' components via integration with the 'htmltools' and 'shiny' packages. Pre-built and interactive components can be used to generate either static html or interactive web applications. Learn more about the 'Calcite Design System' at <https://developers.arcgis.com/calcite-design-system/>.
License: Apache License (>= 2)
Imports: htmltools, rlang, shiny
Encoding: UTF-8
Language: en
NeedsCompilation: no
Packaged: 2025-03-31 14:58:09 UTC; josiahparry
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-01 16:40:10 UTC

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New package biometrics with initial version 1.0.1
Package: biometrics
Version: 1.0.1
Date: 2025-03-27
Title: Functions and Datasets for Forest Biometrics and Modelling
Description: A system of functions and data aiming to apply quantitative analyses to forest ecology, silviculture and decision-support systems. Besides, the package helps to carry out data management, exploratory analysis, and model assessment.
License: GPL-3
URL: https://eljatib.com
Depends: R (>= 3.5.0)
Imports: lattice, ggplot2, stats, graphics, datana
Suggests: foreign, gdata, car, agricolae, multcomp
Encoding: UTF-8
Language: en-US
BuildResaveData: best
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2025-03-31 05:50:30 UTC; christian
Author: Christian Salas-Eljatib [aut, cre] , Pino Nicolas [ctb] , Riquelme Joaquin [ctb]
Maintainer: Christian Salas-Eljatib <cseljatib@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-01 16:20:05 UTC

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Package papeR updated to version 1.0-6 with previous version 1.0-5 dated 2021-03-22

Title: A Toolbox for Writing Pretty Papers and Reports
Description: A toolbox for writing 'knitr', 'Sweave' or other 'LaTeX'- or 'markdown'-based reports and to prettify the output of various estimated models.
Author: Benjamin Hofner [aut, cre] , Romain Francois [ctb], Kurt Hornik [ctb], Martin Maechler [ctb], David Dahl [ctb]
Maintainer: Benjamin Hofner <benjamin.hofner@pei.de>

Diff between papeR versions 1.0-5 dated 2021-03-22 and 1.0-6 dated 2025-04-01

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New package NumericEnsembles with initial version 0.5.0
Package: NumericEnsembles
Title: Automatically Runs 23 Individual and 17 Ensembles of Models
Version: 0.5.0
Depends: Cubist, Metrics, arm, brnn, broom, car, caret, corrplot, doParallel, dplyr, e1071, earth, gam, gbm, ggplot2, glmnet, graphics, grDevices, gridExtra, ipred, leaps, nnet, parallel, pls, purrr, randomForest, reactable, reactablefmtr, readr, rpart, stats, tidyr, tree, utils, xgboost, R (>= 4.1.0)
Description: Automatically runs 23 individual models and 17 ensembles on numeric data. The package automatically returns complete results on all 40 models, 25 charts, multiple tables. The user simply provides the data, and answers a few questions (for example, how many times would you like to resample the data). From there the package randomly splits the data into train, test and validation sets, builds models on the training data, makes predictions on the test and validation sets, measures root mean squared error (RMSE), removes features above a user-set level of Variance Inflation Factor, and has several optional features including scaling all numeric data, four different ways to handle strings in the data. Perhaps the most significant feature is the package's ability to make predictions using the 40 pre trained models on totally new (untrained) data if the user selects that feature. This feature alone represents a very effective solution to the issue of reproducibility of models in data science. [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: http://www.NumericEnsembles.com, https://github.com/InfiniteCuriosity/NumericEnsembles
BugReports: https://github.com/InfiniteCuriosity/NumericEnsembles/issues
NeedsCompilation: no
Packaged: 2025-03-30 20:05:59 UTC; russellconte
Author: Russ Conte [aut, cre, cph]
Maintainer: Russ Conte <russconte@mac.com>
Repository: CRAN
Date/Publication: 2025-04-01 15:50:13 UTC

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New package nonstat with initial version 0.0.6
Package: nonstat
Title: Detecting Nonstationarity in Time Series
Version: 0.0.6
Maintainer: Martin Hecht <martin.hecht@hsu-hh.de>
Description: Provides a nonvisual procedure for screening time series for nonstationarity in the context of intensive longitudinal designs, such as ecological momentary assessments. The method combines two diagnostics: one for detecting trends (based on the split R-hat statistic from Bayesian convergence diagnostics) and one for detecting changes in variance (a novel extension inspired by Levene's test). This approach allows researchers to efficiently and reproducibly detect violations of the stationarity assumption, especially when visual inspection of many individual time series is impractical. The procedure is suitable for use in all areas of research where time series analysis is central. For a detailed description of the method and its validation through simulations and empirical application, see Zitzmann, S., Lindner, C., Lohmann, J. F., & Hecht, M. (2024) "A Novel Nonvisual Procedure for Screening for Nonstationarity in Time Series as Obtained from Intensive Longitudinal Designs" <htt [...truncated...]
License: GPL-3
Depends: R (>= 3.5.0)
NeedsCompilation: no
Encoding: UTF-8
Language: en-US
Packaged: 2025-03-30 20:01:40 UTC; martin
Author: Martin Hecht [aut, cre], Steffen Zitzmann [aut]
Repository: CRAN
Date/Publication: 2025-04-01 15:50:02 UTC

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Package kirby21.t1 updated to version 1.8.0 with previous version 1.7.0 dated 2018-08-13

Title: Example T1 Structural Data from the Multi-Modal MRI 'Reproducibility' Resource
Description: Structural T1 magnetic resonance imaging ('MRI') data from the 'Kirby21' 'reproducibility' study <doi:10.1016/j.neuroimage.2010.11.047>.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between kirby21.t1 versions 1.7.0 dated 2018-08-13 and 1.8.0 dated 2025-04-01

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More information about kirby21.t1 at CRAN
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Package kirby21.fmri updated to version 1.8.0 with previous version 1.7.0 dated 2018-08-13

Title: Example Functional Imaging Data from the Multi-Modal MRI 'Reproducibility' Resource
Description: Functional magnetic resonance imaging ('fMRI') data from the 'Kirby21' 'reproducibility' study <doi:10.1016/j.neuroimage.2010.11.047>.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between kirby21.fmri versions 1.7.0 dated 2018-08-13 and 1.8.0 dated 2025-04-01

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More information about kirby21.fmri at CRAN
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Package glmmrBase updated to version 1.0.0 with previous version 0.11.2 dated 2024-12-12

Title: Generalised Linear Mixed Models in R
Description: Specification, analysis, simulation, and fitting of generalised linear mixed models. Includes Markov Chain Monte Carlo Maximum likelihood and Laplace approximation model fitting for a range of models, non-linear fixed effect specifications, a wide range of flexible covariance functions that can be combined arbitrarily, robust and bias-corrected standard error estimation, power calculation, data simulation, and more. See <https://samuel-watson.github.io/glmmr-web/> for a detailed manual.
Author: Sam Watson [aut, cre]
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>

Diff between glmmrBase versions 0.11.2 dated 2024-12-12 and 1.0.0 dated 2025-04-01

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Package gcite updated to version 0.11.0 with previous version 0.10.1 dated 2019-03-06

Title: Google Citation Parser
Description: Scrapes Google Citation pages and creates data frames of citations over time.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between gcite versions 0.10.1 dated 2019-03-06 and 0.11.0 dated 2025-04-01

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Package diffr updated to version 0.3.0 with previous version 0.1 dated 2017-02-27

Title: Display Differences Between Two Files using Codediff Library
Description: An R interface to the 'codediff' JavaScript library (a copy of which is included in the package, see <https://github.com/danvk/codediff.js> for information). Allows for visualization of the difference between 2 files, usually text files or R scripts, in a browser.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between diffr versions 0.1 dated 2017-02-27 and 0.3.0 dated 2025-04-01

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Package brainR updated to version 1.7.0 with previous version 1.6.0 dated 2019-12-05

Title: Helper Functions to 'misc3d' and 'rgl' Packages for Brain Imaging
Description: This includes functions for creating 3D and 4D images using 'WebGL', 'rgl', and 'JavaScript' commands. This package relies on the X toolkit ('XTK', <https://github.com/xtk/X#readme>).
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between brainR versions 1.6.0 dated 2019-12-05 and 1.7.0 dated 2025-04-01

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Package bayesCT (with last version 0.99.3) was removed from CRAN

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2020-07-01 0.99.3

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Package SparseTSCGM (with last version 4.0) was removed from CRAN

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2021-01-13 4.0

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Package vampyr (with last version 1.1.1) was removed from CRAN

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2021-06-17 1.1.1

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Package geovol (with last version 1.0) was removed from CRAN

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2021-07-09 1.0

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Package spsh (with last version 1.1.0) was removed from CRAN

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2020-04-06 1.1.0
2019-03-24 1.0.4

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Package kibior (with last version 0.1.1) was removed from CRAN

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2021-01-28 0.1.1
2020-11-18 0.1.0

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Package clusterability (with last version 0.1.1.0) was removed from CRAN

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2020-03-04 0.1.1.0
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Package twangRDC (with last version 1.0) was removed from CRAN

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2021-05-17 1.0
2021-03-02 0.1

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

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2020-06-03 0.1.0

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Package InDisc (with last version 1.1.0) was removed from CRAN

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2021-06-16 1.1.0

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Package Bchron (with last version 4.7.6) was removed from CRAN

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

2021-06-10 4.7.6
2021-05-12 4.7.5
2021-01-28 4.7.4
2020-11-21 4.7.3
2020-09-01 4.7.2
2020-04-13 4.7.1
2020-03-13 4.7.0
2020-03-06 4.6.1
2020-01-15 4.5.0
2018-06-15 4.3.0
2018-02-27 4.2.7
2016-12-13 4.2.6
2016-08-02 4.2.5
2016-07-26 4.2.4
2016-06-21 4.2.2
2016-06-05 4.2.1
2015-08-17 4.1.2
2014-04-22 4.1.1
2014-04-11 4.1
2014-04-01 4.0
2013-04-23 3.2
2012-06-11 3.1.5
2010-11-03 3.1.4
2010-10-28 3.1.3
2010-10-27 3.1.2
2010-09-10 3.1.1
2010-01-14 3.1
2009-12-09 3.0
2008-05-13 2.1
2008-04-27 2.0
2008-02-21 1.2

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

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2021-10-26 0.1.0

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Package MonetDB.R (with last version 2.0.0) was removed from CRAN

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2020-08-14 2.0.0
2016-03-21 1.0.1
2015-11-25 1.0.0
2015-03-29 0.9.7
2015-03-20 0.9.6
2014-10-06 0.9.5
2014-07-18 0.9.4
2014-04-22 0.9.2
2014-03-06 0.9.1
2014-02-19 0.9
2013-10-13 0.8.0
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2013-04-19 0.6
2013-02-22 0.5.3

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Package wrMisc updated to version 1.15.3.1 with previous version 1.15.2 dated 2024-08-20

Title: Analyze Experimental High-Throughput (Omics) Data
Description: The efficient treatment and convenient analysis of experimental high-throughput (omics) data gets facilitated through this collection of diverse functions. Several functions address advanced object-conversions, like manipulating lists of lists or lists of arrays, reorganizing lists to arrays or into separate vectors, merging of multiple entries, etc. Another set of functions provides speed-optimized calculation of standard deviation (sd), coefficient of variance (CV) or standard error of the mean (SEM) for data in matrixes or means per line with respect to additional grouping (eg n groups of replicates). A group of functions facilitate dealing with non-redundant information, by indexing unique, adding counters to redundant or eliminating lines with respect redundancy in a given reference-column, etc. Help is provided to identify very closely matching numeric values to generate (partial) distance matrixes for very big data in a memory efficient manner or to reduce the complexity of larg [...truncated...]
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

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Package pedmut updated to version 0.8.0 with previous version 0.7.1 dated 2023-11-04

Title: Mutation Models for Pedigree Likelihood Computations
Description: A collection of functions for modelling mutations in pedigrees with marker data, as used e.g. in likelihood computations with microsatellite data. Implemented models include equal, proportional and stepwise models, as well as random models for experimental work, and custom models allowing the user to apply any valid mutation matrix. Allele lumping is done following the lumpability criteria of Kemeny and Snell (1976), ISBN:0387901922.
Author: Magnus Dehli Vigeland [aut, cre] , Thore Egeland [ctb]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

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Package OmicsPLS updated to version 2.1.0 with previous version 2.0.2 dated 2021-05-19

Title: Data Integration with Two-Way Orthogonal Partial Least Squares
Description: Performs the O2PLS data integration method for two datasets, yielding joint and data-specific parts for each dataset. The algorithm automatically switches to a memory-efficient approach to fit O2PLS to high dimensional data. It provides a rigorous and a faster alternative cross-validation method to select the number of components, as well as functions to report proportions of explained variation and to construct plots of the results. See the software article by el Bouhaddani et al (2018) <doi:10.1186/s12859-018-2371-3>, and Trygg and Wold (2003) <doi:10.1002/cem.775>. It also performs Sparse Group (Penalized) O2PLS, see Gu et al (2020) <doi:10.1186/s12859-021-03958-3> and cross-validation for the degree of sparsity.
Author: Said el Bouhaddani [aut, cre], Zander Gu [aut], Jeanine Houwing-Duistermaat [aut], Geurt Jongbloed [aut], Szymon Kielbasa [aut], Hae-Won Uh [aut]
Maintainer: Said el Bouhaddani <s.elbouhaddani@umcutrecht.nl>

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Package sstvars updated to version 1.1.5 with previous version 1.1.4 dated 2025-02-27

Title: Toolkit for Reduced Form and Structural Smooth Transition Vector Autoregressive Models
Description: Penalized and non-penalized maximum likelihood estimation of smooth transition vector autoregressive models with various types of transition weight functions, conditional distributions, and identification methods. Constrained estimation with various types of constraints is available. Residual based model diagnostics, forecasting, simulations, and calculation of impulse response functions, generalized impulse response functions, and generalized forecast error variance decompositions. See Heather Anderson, Farshid Vahid (1998) <doi:10.1016/S0304-4076(97)00076-6>, Helmut Lütkepohl, Aleksei Netšunajev (2017) <doi:10.1016/j.jedc.2017.09.001>, Markku Lanne, Savi Virolainen (2025) <doi:10.48550/arXiv.2403.14216>, Savi Virolainen (2025) <doi:10.48550/arXiv.2404.19707>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@helsinki.fi>

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Package RMySQL updated to version 0.11.1 with previous version 0.11.0 dated 2025-02-08

Title: Database Interface and 'MySQL' Driver for R
Description: Legacy 'DBI' interface to 'MySQL' / 'MariaDB' based on old code ported from S-PLUS. A modern 'MySQL' client written in 'C++' is available from the 'RMariaDB' package.
Author: Jeroen Ooms [aut, cre] , David James [aut], Saikat DebRoy [aut], Hadley Wickham [aut], Jeffrey Horner [aut], RStudio [cph]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package IATscores updated to version 0.2.8 with previous version 0.2.7 dated 2020-05-09

Title: Implicit Association Test Scores Using Robust Statistics
Description: Compute several variations of the Implicit Association Test (IAT) scores, including the D scores (Greenwald, Nosek, Banaji, 2003, <doi:10.1037/0022-3514.85.2.197>) and the new scores that were developed using robust statistics (Richetin, Costantini, Perugini, and Schonbrodt, 2015, <doi:10.1371/journal.pone.0129601>).
Author: Giulio Costantini [aut, cre]
Maintainer: Giulio Costantini <costantinigiulio@gmail.com>

Diff between IATscores versions 0.2.7 dated 2020-05-09 and 0.2.8 dated 2025-04-01

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Package distances updated to version 0.1.12 with previous version 0.1.11 dated 2024-07-31

Title: Tools for Distance Metrics
Description: Provides tools for constructing, manipulating and using distance metrics.
Author: Fredrik Savje [aut, cre]
Maintainer: Fredrik Savje <rpackages@fredriksavje.com>

Diff between distances versions 0.1.11 dated 2024-07-31 and 0.1.12 dated 2025-04-01

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New package archeoViz with initial version 1.4.0
Package: archeoViz
Title: Visualisation, Exploration, and Web Communication of Archaeological Spatial Data
Version: 1.4.0
Date: 2025-04-01
Author: Sebastien Plutniak [aut, cre] , Renata Araujo [ctb] , Laura Coltofean [ctb] , Nicolas Delsol [ctb] , Sara Giardino [ctb] , Julian Laabs [ctb]
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>
Description: An R 'Shiny' application for visual and statistical exploration and web communication of archaeological spatial data, either remains or sites. It offers interactive 3D and 2D visualisations (cross sections and maps of remains, timeline of the work made in a site) which can be exported in SVG and HTML formats. It performs simple spatial statistics (convex hull, regression surfaces, 2D kernel density estimation) and allows exporting data to other online applications for more complex methods. 'archeoViz' can be used offline locally or deployed on a server, either with interactive input of data or with a static data set. Example is provided at <https://analytics.huma-num.fr/archeoviz/en>.
License: GPL-3
Repository: CRAN
Encoding: UTF-8
Imports: ggplot2, plotly, mgcv, geometry, reshape2, svglite, htmlwidgets, shiny, shinythemes, knitr,
Suggests: covr, SEAHORS, rmarkdown, markdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://archeoviz.hypotheses.org, https://github.com/sebastien-plutniak/archeoviz
BugReports: https://github.com/sebastien-plutniak/archeoviz/issues
NeedsCompilation: no
Packaged: 2025-04-01 11:51:25 UTC; seb
Date/Publication: 2025-04-01 13:10:09 UTC

More information about archeoViz at CRAN
Permanent link

Package orloca.es updated to version 5.5 with previous version 4.9 dated 2020-03-06

Title: Spanish version of orloca package. Modelos de localizacion en investigacion operativa
Description: Help and demo in Spanish of the orloca package. Ayuda y demo en espanol del paquete orloca. Objetos y metodos para manejar y resolver el problema de localizacion de suma minima, tambien conocido como problema de Fermat-Weber. El problema de localizacion de suma minima busca un punto tal que la suma ponderada de las distancias a los puntos de demanda se minimice. Vease "The Fermat-Weber location problem revisited" por Brimberg, Mathematical Programming, 1, pag. 71-76, 1995. <DOI: 10.1007/BF01592245>. Se usan algoritmos generales de optimizacion global para resolver el problema, junto con el metodo especifico Weiszfeld, vease "Sur le point pour lequel la Somme des distance de n points donnes est minimum", por Weiszfeld, Tohoku Mathematical Journal, First Series, 43, pag. 355-386, 1937 o "On the point for which the sum of the distances to n given points is minimum", por E. Weiszfeld y F. Plastria, Annals of Operations Research, 167, pg. 7-41, 2009. <DOI:10.1007/s10479-008-0352-z& [...truncated...]
Author: Manuel Munoz-Marquez [aut, cre]
Maintainer: Manuel Munoz-Marquez <manuel.munoz@uca.es>

Diff between orloca.es versions 4.9 dated 2020-03-06 and 5.5 dated 2025-04-01

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Package optRF updated to version 1.2.0 with previous version 1.1.0 dated 2025-02-03

Title: Optimising Random Forest Stability by Determining the Optimal Number of Trees
Description: Calculating the stability of random forest with certain numbers of trees. The non-linear relationship between stability and numbers of trees is described using a logistic regression model and used to estimate the optimal number of trees.
Author: Thomas Martin Lange [cre, aut] , Felix Heinrich [ctb]
Maintainer: Thomas Martin Lange <thomas.lange@uni-goettingen.de>

Diff between optRF versions 1.1.0 dated 2025-02-03 and 1.2.0 dated 2025-04-01

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Package CAGR updated to version 1.1.1 with previous version 1.1.0 dated 2024-03-02

Title: Compound Annual Growth Rate
Description: A time series usually does not have a uniform growth rate. Compound Annual Growth Rate measures the average annual growth over a given period. More details can be found in Bardhan et al. (2022) <DOI:10.18805/ag.D-5418>.
Author: Debopam Rakshit [aut, cre], Dwaipayan Bardhan [aut]
Maintainer: Debopam Rakshit <rakshitdebopam@yahoo.com>

Diff between CAGR versions 1.1.0 dated 2024-03-02 and 1.1.1 dated 2025-04-01

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New package shapr with initial version 1.0.3
Package: shapr
Version: 1.0.3
Title: Prediction Explanation with Dependence-Aware Shapley Values
Description: Complex machine learning models are often hard to interpret. However, in many situations it is crucial to understand and explain why a model made a specific prediction. Shapley values is the only method for such prediction explanation framework with a solid theoretical foundation. Previously known methods for estimating the Shapley values do, however, assume feature independence. This package implements methods which accounts for any feature dependence, and thereby produces more accurate estimates of the true Shapley values. An accompanying 'Python' wrapper ('shaprpy') is available through the GitHub repository.
URL: https://norskregnesentral.github.io/shapr/, https://github.com/NorskRegnesentral/shapr/
BugReports: https://github.com/NorskRegnesentral/shapr/issues
License: MIT + file LICENSE
Encoding: UTF-8
ByteCompile: true
Language: en-US
Depends: R (>= 3.5.0)
Imports: stats, data.table (>= 1.15.0), Rcpp (>= 0.12.15), Matrix, future.apply, methods
Suggests: ranger, xgboost, mgcv, testthat (>= 3.0.0), knitr, rmarkdown, roxygen2, ggplot2, gbm, party, partykit, waldo, progressr, future, ggbeeswarm, vdiffr, forecast, torch, GGally, coro, parsnip, recipes, workflows, tune, dials, yardstick, hardhat, rsample, rlang, cli
LinkingTo: RcppArmadillo, Rcpp
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-03-26 13:36:18 UTC; jullum
Author: Martin Jullum [cre, aut] , Lars Henry Berge Olsen [aut] , Annabelle Redelmeier [aut], Jon Lachmann [aut] , Nikolai Sellereite [aut] , Anders Loeland [ctb], Jens Christian Wahl [ctb], Camilla Lingjaerde [ctb], Norsk Regnesentral [cph, fnd]
Maintainer: Martin Jullum <Martin.Jullum@nr.no>
Repository: CRAN
Date/Publication: 2025-03-26 17:10:02 UTC

More information about shapr at CRAN
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Package goxygen updated to version 1.4.5 with previous version 1.0.3 dated 2020-08-16

Title: In-Code Documentation for 'GAMS'
Description: A collection of tools which extract a model documentation from 'GAMS' code and comments. In order to use the package you need to install 'pandoc' and 'pandoc-citeproc' first (<https://pandoc.org/>).
Author: Jan Philipp Dietrich [aut, cre], Kristine Karstens [aut], David Klein [aut], Lavinia Baumstark [aut], Falk Benke [aut]
Maintainer: Jan Philipp Dietrich <dietrich@pik-potsdam.de>

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Package goric updated to version 1.1-3 with previous version 1.1-2 dated 2021-04-19

Title: Generalized Order-Restricted Information Criterion
Description: Generalized Order-Restricted Information Criterion (GORIC) value for a set of hypotheses in multivariate linear models and generalised linear models.
Author: Daniel Gerhard [aut, cre], Rebecca M. Kuiper [aut]
Maintainer: Daniel Gerhard <00gerhard@gmail.com>

Diff between goric versions 1.1-2 dated 2021-04-19 and 1.1-3 dated 2025-04-01

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Package anim.plots updated to version 0.2.3 with previous version 0.2.2 dated 2021-04-30

Title: Simple Animated Plots for R
Description: Simple animated versions of basic R plots, using the 'animation' package. Includes animated versions of plot, barplot, persp, contour, filled.contour, hist, curve, points, lines, text, symbols, segments, and arrows.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

Diff between anim.plots versions 0.2.2 dated 2021-04-30 and 0.2.3 dated 2025-04-01

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Package stratEst updated to version 1.1.7 with previous version 1.1.6 dated 2022-11-29

Title: Strategy Estimation
Description: Variants of strategy estimation (Dal Bo & Frechette, 2011, <doi:10.1257/aer.101.1.411>), including the model with parameters for the choice probabilities of the strategies (Breitmoser, 2015, <doi:10.1257/aer.20130675>), and the model with individual level covariates for the selection of strategies by individuals (Dvorak & Fehrler, 2018, <doi:10.2139/ssrn.2986445>).
Author: Fabian Dvorak [aut, cre]
Maintainer: Fabian Dvorak <fabian.dvorak@uni.kn>

Diff between stratEst versions 1.1.6 dated 2022-11-29 and 1.1.7 dated 2025-04-01

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New package rim with initial version 0.8.0
Package: rim
Title: Interface to 'Maxima', Enabling Symbolic Computation
Version: 0.8.0
Date: 2025-04-01
Description: An interface to the powerful and fairly complete computer algebra system 'Maxima'. It can be used to start and control 'Maxima' from within R by entering 'Maxima' commands. Results from 'Maxima' can be parsed and evaluated in R. It facilitates outputting results from 'Maxima' in 'LaTeX' and 'MathML'. 2D and 3D plots can be displayed directly. This package also registers a 'knitr'-engine enabling 'Maxima' code chunks to be written in 'RMarkdown' documents.
URL: https://rcst.github.io/rim/
BugReports: https://github.com/rcst/rim/issues
SystemRequirements: Maxima (https://sourceforge.net/projects/maxima/, tested with versions 5.42.0 - 5.46.0), needs to be on PATH
License: GPL (>= 3)
Imports: methods, Rcpp, R6, knitr, GlobalOptions
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), rmarkdown
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-04-01 06:54:32 UTC; eric
Author: Eric Stemmler [aut, cre], Kseniia Shumelchyk [aut], Hans W. Borchers [aut]
Maintainer: Eric Stemmler <stemmler.eric@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-01 08:50:02 UTC

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Package multiblock updated to version 0.8.10 with previous version 0.8.9.0 dated 2025-01-20

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

Diff between multiblock versions 0.8.9.0 dated 2025-01-20 and 0.8.10 dated 2025-04-01

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Package DstarM updated to version 0.5.0 with previous version 0.4.0 dated 2020-08-28

Title: Analyze Two Choice Reaction Time Data with the D*M Method
Description: A collection of functions to estimate parameters of a diffusion model via a D*M analysis. Build in models are: the Ratcliff diffusion model, the RWiener diffusion model, and Linear Ballistic Accumulator models. Custom models functions can be specified as long as they have a density function.
Author: Don van den Bergh [aut, cre] , Stijn Verdonck [aut] , Francis Tuerlinckx [aut]
Maintainer: Don van den Bergh <donvdbergh@hotmail.com>

Diff between DstarM versions 0.4.0 dated 2020-08-28 and 0.5.0 dated 2025-04-01

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Package CAESAR.Suite updated to version 0.2.2 with previous version 0.2.1 dated 2025-03-25

Title: CAESAR: a Cross-Technology and Cross-Resolution Framework for Spatial Omics Annotation
Description: Biotechnology in spatial omics has advanced rapidly over the past few years, enhancing both throughput and resolution. However, existing annotation pipelines in spatial omics predominantly rely on clustering methods, lacking the flexibility to integrate extensive annotated information from single-cell RNA sequencing (scRNA-seq) due to discrepancies in spatial resolutions, species, or modalities. Here we introduce the CAESAR suite, an open-source software package that provides image-based spatial co-embedding of locations and genomic features. It uniquely transfers labels from scRNA-seq reference, enabling the annotation of spatial omics datasets across different technologies, resolutions, species, and modalities, based on the conserved relationship between signature genes and cells/locations at an appropriate level of granularity. Notably, CAESAR enriches location-level pathways, allowing for the detection of gradual biological pathway activation within spatially defined domain types. [...truncated...]
Author: Xiao Zhang [aut, cre], Wei Liu [aut], Jin Liu [aut]
Maintainer: Xiao Zhang <zhangxiao1994@cuhk.edu.cn>

Diff between CAESAR.Suite versions 0.2.1 dated 2025-03-25 and 0.2.2 dated 2025-04-01

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Package winfapReader updated to version 0.1-6 with previous version 0.1-5.1 dated 2024-06-19

Title: Interact with Peak Flow Data in the United Kingdom
Description: Obtain information on peak flow data from the National River Flow Archive (NRFA) in the United Kingdom, either from the Peak Flow Dataset files <https://nrfa.ceh.ac.uk/data/peak-flow-dataset> once these have been downloaded to the user's computer or using the NRFA's API. These files are in a format suitable for direct use in the 'WINFAP' software, hence the name of the package.
Author: Ilaria Prosdocimi [aut, cre] , Luke Shaw [aut]
Maintainer: Ilaria Prosdocimi <prosdocimi.ilaria@gmail.com>

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Package textutils updated to version 0.4-2 with previous version 0.4-1 dated 2024-04-01

Title: Utilities for Handling Strings and Text
Description: Utilities for handling character vectors that store human-readable text (either plain or with markup, such as HTML or LaTeX). The package provides, in particular, functions that help with the preparation of plain-text reports, e.g. for expanding and aligning strings that form the lines of such reports. The package also provides generic functions for transforming R objects to HTML and to plain text.
Author: Enrico Schumann [aut, cre]
Maintainer: Enrico Schumann <es@enricoschumann.net>

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Package groupedHyperframe updated to version 0.2.1 with previous version 0.1.0 dated 2025-03-25

Title: Grouped Hyper Data Frame: An Extension of Hyper Data Frame Object
Description: An S3 class 'groupedHyperframe' that inherits from hyper data frame. Batch processes on point-pattern hyper column. Aggregation of function-value-table hyper column(s) and numeric hyper column(s) over a nested grouping structure.
Author: Tingting Zhan [aut, cre] , Inna Chervoneva [aut]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

Diff between groupedHyperframe versions 0.1.0 dated 2025-03-25 and 0.2.1 dated 2025-04-01

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Package gllvm updated to version 2.0.1 with previous version 2.0 dated 2024-11-26

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

Diff between gllvm versions 2.0 dated 2024-11-26 and 2.0.1 dated 2025-04-01

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Package datetimeutils updated to version 0.6-5 with previous version 0.6-4 dated 2024-04-01

Title: Utilities for Dates and Times
Description: Utilities for handling dates and times, such as selecting particular days of the week or month, formatting timestamps as required by RSS feeds, or converting timestamp representations of other software (such as 'MATLAB' and 'Excel') to R. The package is lightweight (no dependencies, pure R implementations) and relies only on R's standard classes to represent dates and times ('Date' and 'POSIXt'); it aims to provide efficient implementations, through vectorisation and the use of R's native numeric representations of timestamps where possible.
Author: Enrico Schumann [aut, cre] , Unicode, Inc. [dtc, cph]
Maintainer: Enrico Schumann <es@enricoschumann.net>

Diff between datetimeutils versions 0.6-4 dated 2024-04-01 and 0.6-5 dated 2025-04-01

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Package clubSandwich updated to version 0.6.0 with previous version 0.5.11 dated 2024-06-20

Title: Cluster-Robust (Sandwich) Variance Estimators with Small-Sample Corrections
Description: Provides several cluster-robust variance estimators (i.e., sandwich estimators) for ordinary and weighted least squares linear regression models, including the bias-reduced linearization estimator introduced by Bell and McCaffrey (2002) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2002002/article/9058-eng.pdf> and developed further by Pustejovsky and Tipton (2017) <DOI:10.1080/07350015.2016.1247004>. The package includes functions for estimating the variance- covariance matrix and for testing single- and multiple- contrast hypotheses based on Wald test statistics. Tests of single regression coefficients use Satterthwaite or saddle-point corrections. Tests of multiple- contrast hypotheses use an approximation to Hotelling's T-squared distribution. Methods are provided for a variety of fitted models, including lm() and mlm objects, glm(), geeglm() (from package 'geepack'), ivreg() (from package 'AER'), ivreg() (from package 'ivreg' when estimated by ordinary least squares), [...truncated...]
Author: James E. Pustejovsky [aut, cre] , Samuel Pekofsky [ctb], Jingru Zhang [ctb]
Maintainer: James E. Pustejovsky <jepusto@gmail.com>

Diff between clubSandwich versions 0.5.11 dated 2024-06-20 and 0.6.0 dated 2025-04-01

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Package sae4health updated to version 1.2.1 with previous version 1.2.0 dated 2025-03-28

Title: Small Area Estimation for Key Health and Demographic Indicators from Household Surveys
Description: Enables small area estimation (SAE) of health and demographic indicators in low- and middle-income countries (LMICs). It powers an R 'shiny' application that helps public health analysts, policymakers, and researchers generate subnational estimates and prevalence maps for 150+ binary indicators from Demographic and Health Surveys (DHS). Basing its core SAE analysis workflow on the 'surveyPrev' package, the app ensures methodological rigor through guided model selection, automated fitting, and interactive visualization. For more details, visit <https://sae4health.stat.uw.edu/>.
Author: Yunhan Wu [cre, aut], Qianyu Dong [aut], Zehang R Li [aut], Jon Wakefield [aut]
Maintainer: Yunhan Wu <wu-thomas@outlook.com>

Diff between sae4health versions 1.2.0 dated 2025-03-28 and 1.2.1 dated 2025-04-01

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New package CytOpT with initial version 0.9.8
Package: CytOpT
Title: Optimal Transport for Gating Transfer in Cytometry Data with Domain Adaptation
Version: 0.9.8
Date: 2025-03-31
Maintainer: Boris Hejblum <boris.hejblum@u-bordeaux.fr>
SystemRequirements: Python (>= 3.7)
Description: Supervised learning from a source distribution (with known segmentation into cell sub-populations) to fit a target distribution with unknown segmentation. It relies regularized optimal transport to directly estimate the different cell population proportions from a biological sample characterized with flow cytometry measurements. It is based on the regularized Wasserstein metric to compare cytometry measurements from different samples, thus accounting for possible mis-alignment of a given cell population across sample (due to technical variability from the technology of measurements). Supervised learning technique based on the Wasserstein metric that is used to estimate an optimal re-weighting of class proportions in a mixture model Details are presented in Freulon P, Bigot J and Hejblum BP (2023) <doi:10.1214/22-AOAS1660>.
License: GPL (>= 2)
Repository: CRAN
URL: https://sistm.github.io/CytOpT-R/, https://github.com/sistm/CytOpT-R/
Depends: R (>= 3.6)
LazyData: true
Encoding: UTF-8
Imports: ggplot2 (>= 3.0.0), MetBrewer, patchwork, reshape2, reticulate, stats, testthat (>= 3.0.0)
Suggests: rmarkdown, knitr, covr
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2025-03-31 22:14:53 UTC; boris
Author: Boris Hejblum [aut, cre], Paul Freulon [aut], Kalidou Ba [aut, trl]
Date/Publication: 2025-04-01 06:50:07 UTC

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Package tabnet (with last version 0.6.0) was removed from CRAN

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

2024-06-15 0.6.0
2023-12-05 0.5.0
2023-05-11 0.4.0
2021-10-11 0.3.0
2021-06-22 0.2.0
2021-01-14 0.1.0

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Package shapr (with last version 1.0.3) was removed from CRAN

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

2025-03-26 1.0.3
2025-02-06 1.0.2

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