Thu, 03 Apr 2025

Package rdhte updated to version 0.0.2 with previous version 0.0.1 dated 2025-03-25

Title: Heterogeneous Treatment Effects in Regression Discontinuity Designs
Description: Understanding heterogeneous causal effects based on pretreatment covariates is a crucial step in modern empirical work in data science. Building on the recent developments in Calonico et al (2025) <https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell-Palomba-Titiunik_2025_HTERD.pdf>, this package provides tools for estimation and inference of heterogeneous treatment effects in Regression Discontinuity (RD) Designs. The package includes two main commands: 'rdhte' to conduct estimation and robust bias-corrected inference for conditional RD treatment effects (given choice of bandwidth parameter); and 'rdbwhte', which implements automatic bandwidth selection methods.
Author: Sebastian Calonico [aut, cre], Matias D. Cattaneo [aut], Max H. Farrell [aut], Filippo Palomba [aut], Rocio Titiunik [aut]
Maintainer: Sebastian Calonico <scalonico@ucdavis.edu>

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Package lucid updated to version 1.9 with previous version 1.8 dated 2021-04-16

Title: Printing Floating Point Numbers in a Human-Friendly Format
Description: Print vectors (and data frames) of floating point numbers using a non-scientific format optimized for human readers. Vectors of numbers are rounded using significant digits, aligned at the decimal point, and all zeros trailing the decimal point are dropped. See: Wright (2016). Lucid: An R Package for Pretty-Printing Floating Point Numbers. In JSM Proceedings, Statistical Computing Section. Alexandria, VA: American Statistical Association. 2270-2279.
Author: Kevin Wright [aut, cre, cph]
Maintainer: Kevin Wright <kw.stat@gmail.com>

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Package logbin updated to version 2.0.6 with previous version 2.0.5 dated 2021-08-09

Title: Relative Risk Regression Using the Log-Binomial Model
Description: Methods for fitting log-link GLMs and GAMs to binomial data, including EM-type algorithms with more stable convergence properties than standard methods.
Author: Mark W. Donoghoe [aut, cre] , Ian C. Marschner [ths] , Alexandra C. Gillett [ctb] , The R Core Team [cph]
Maintainer: Mark W. Donoghoe <markdonoghoe@gmail.com>

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Package cAIC4 updated to version 1.1 with previous version 1.0 dated 2021-09-22

Title: Conditional Akaike Information Criterion for 'lme4' and 'nlme'
Description: Provides functions for the estimation of the conditional Akaike information in generalized mixed-effect models fitted with (g)lmer() from 'lme4', lme() from 'nlme' and gamm() from 'mgcv'. For a manual on how to use 'cAIC4', see Saefken et al. (2021) <doi:10.18637/jss.v099.i08>.
Author: Benjamin Saefken [aut], David Ruegamer [aut, cre], Philipp Baumann [aut], Rene-Marcel Kruse [aut], Sonja Greven [aut], Thomas Kneib [aut]
Maintainer: David Ruegamer <david.ruegamer@gmail.com>

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Package moderate.mediation updated to version 0.0.11 with previous version 0.0.10 dated 2024-05-23

Title: Causal Moderated Mediation Analysis
Description: Causal moderated mediation analysis using the methods proposed by Qin and Wang (2023) <doi:10.3758/s13428-023-02095-4>. Causal moderated mediation analysis is crucial for investigating how, for whom, and where a treatment is effective by assessing the heterogeneity of mediation mechanism across individuals and contexts. This package enables researchers to estimate and test the conditional and moderated mediation effects, assess their sensitivity to unmeasured pre-treatment confounding, and visualize the results. The package is built based on the quasi-Bayesian Monte Carlo method, because it has relatively better performance at small sample sizes, and its running speed is the fastest. The package is applicable to a treatment of any scale, a binary or continuous mediator, a binary or continuous outcome, and one or more moderators of any scale.
Author: Xu Qin [aut, cre, cph], Lijuan Wang [ctb]
Maintainer: Xu Qin <xuqin@pitt.edu>

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Package TriMatch updated to version 1.0.0 with previous version 0.9.9 dated 2017-12-05

Title: Propensity Score Matching of Non-Binary Treatments
Description: Propensity score matching for non-binary treatments.
Author: Jason Bryer [aut, cre]
Maintainer: Jason Bryer <jason@bryer.org>

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Package strata updated to version 1.4.5 with previous version 1.4.3 dated 2025-03-05

Title: Simple Framework for Simple Automation
Description: Build a project framework for users with access to only the most basic of automation tools.
Author: Alexander Senetcky [aut, cre, cph]
Maintainer: Alexander Senetcky <asenetcky@gmail.com>

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Package qicharts updated to version 0.5.10 with previous version 0.5.8 dated 2021-04-20

Title: Quality Improvement Charts
Description: Functions for making run charts [Anhoej, Olesen (2014) <doi:10.1371/journal.pone.0113825>] and basic Shewhart control charts [Mohammed, Worthington, Woodall (2008) <doi:10.1136/qshc.2004.012047>] for measure and count data. The main function, qic(), creates run and control charts and has a simple interface with a rich set of options to control data analysis and plotting, including options for automatic data aggregation by subgroups, easy analysis of before-and-after data, exclusion of one or more data points from analysis, and splitting charts into sequential time periods. Missing values and empty subgroups are handled gracefully.
Author: Jacob Anhoej [aut, cre], Timo Roeder [ctb]
Maintainer: Jacob Anhoej <jacob@anhoej.net>

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Package qrcm updated to version 3.2 with previous version 3.1 dated 2024-02-13

Title: Quantile Regression Coefficients Modeling
Description: Parametric modeling of quantile regression coefficient functions.
Author: Paolo Frumento [aut, cre]
Maintainer: Paolo Frumento <paolo.frumento@unipi.it>

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Package panelPomp updated to version 1.6.0.0 with previous version 1.5.0.0 dated 2024-12-08

Title: Inference for Panel Partially Observed Markov Processes
Description: Data analysis based on panel partially-observed Markov process (PanelPOMP) models. To implement such models, simulate them and fit them to panel data, 'panelPomp' extends some of the facilities provided for time series data by the 'pomp' package. Implemented methods include filtering (panel particle filtering) and maximum likelihood estimation (Panel Iterated Filtering) as proposed in Breto, Ionides and King (2020) "Panel Data Analysis via Mechanistic Models" <doi:10.1080/01621459.2019.1604367>.
Author: Carles Breto [aut] , Edward L. Ionides [aut] , Aaron A. King [aut] , Jesse Wheeler [aut, cre] , Aaron Abkemeier [ctb]
Maintainer: Jesse Wheeler <jeswheel@umich.edu>

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Package DiNAMIC.Duo updated to version 1.0.3 with previous version 1.0.2 dated 2023-03-02

Title: Finding Recurrent DNA Copy Number Alterations and Differences
Description: In tumor tissue, underlying genomic instability can lead to DNA copy number alterations, e.g., copy number gains or losses. Sporadic copy number alterations occur randomly throughout the genome, whereas recurrent alterations are observed in the same genomic region across multiple independent samples, perhaps because they provide a selective growth advantage. Here we use cyclic shift permutations to identify recurrent copy number alterations in a single cohort or recurrent copy number differences in two cohorts based on a common set of genomic markers. Additional functionality is provided to perform downstream analyses, including the creation of summary files and graphics. DiNAMIC.Duo builds upon the original DiNAMIC package of Walter et al. (2011) <doi:10.1093/bioinformatics/btq717> and leverages the theory developed in Walter et al. (2015) <doi:10.1093/biomet/asv046>. An article describing DiNAMIC.Duo by Walter et al. (2022) can be found at <doi: 10.1093/bioinformatics/ [...truncated...]
Author: Vonn Walter [aut, cre] , Hyo Young Choi [aut] , Xiaobei Zhao [aut] , Yan Gao [aut] , David Neil Hayes [aut]
Maintainer: Vonn Walter <vwalter1@pennstatehealth.psu.edu>

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Package capybara updated to version 0.9.3 with previous version 0.9.1 dated 2025-03-25

Title: Fast and Memory Efficient Fitting of Linear Models with High-Dimensional Fixed Effects
Description: Fast and user-friendly estimation of generalized linear models with multiple fixed effects and cluster the standard errors. The method to obtain the estimated fixed-effects coefficients is based on Stammann (2018) <doi:10.48550/arXiv.1707.01815> and Gaure (2013) <doi:10.1016/j.csda.2013.03.024>.
Author: Mauricio Vargas Sepulveda [aut, cre] , Yoto Yotov [ctb]
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>

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Package speakeasyR updated to version 0.1.5 with previous version 0.1.4 dated 2024-09-24

Title: Fast and Robust Multi-Scale Graph Clustering
Description: A graph community detection algorithm that aims to be performant on large graphs and robust, returning consistent results across runs. SpeakEasy 2 (SE2), the underlying algorithm, is described in Chris Gaiteri, David R. Connell & Faraz A. Sultan et al. (2023) <doi:10.1186/s13059-023-03062-0>. The core algorithm is written in 'C', providing speed and keeping the memory requirements low. This implementation can take advantage of multiple computing cores without increasing memory usage. SE2 can detect community structure across scales, making it a good choice for biological data, which often has hierarchical structure. Graphs can be passed to the algorithm as adjacency matrices using base 'R' matrices, the 'Matrix' library, 'igraph' graphs, or any data that can be coerced into a matrix.
Author: David Connell [aut, cre, cph] , Chris Gaiteri [cph] , Gabor Csardi [cph, ctb] , Tamas Nepusz [cph, ctb] , Szabolcs Horvat [cph, ctb] , Vincent Traag [cph, ctb] , Fabio Zanini [cph, ctb] , Daniel Noom [cph, ctb] , The igraph development team [cph] , F [...truncated...]
Maintainer: David Connell <david32@dcon.addy.io>

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 27 files changed, 831 insertions(+), 800 deletions(-)

More information about speakeasyR at CRAN
Permanent link

Package fgeo.tool updated to version 1.2.10 with previous version 1.2.9 dated 2024-01-27

Title: Import and Manipulate 'ForestGEO' Data
Description: To help you access, transform, analyze, and visualize 'ForestGEO' data, we developed a collection of R packages (<https://forestgeo.github.io/fgeo/>). This package, in particular, helps you to easily import, filter, and modify 'ForestGEO' data. To learn more about 'ForestGEO' visit <https://forestgeo.si.edu/>.
Author: Mauro Lepore [aut, ctr, cre] , Richard Condit [aut], Suzanne Lao [aut], Anudeep Singh [aut], CTFS-ForestGEO [cph, fnd]
Maintainer: Mauro Lepore <maurolepore@gmail.com>

Diff between fgeo.tool versions 1.2.9 dated 2024-01-27 and 1.2.10 dated 2025-04-03

 DESCRIPTION         |    8 ++++----
 MD5                 |   14 +++++++-------
 NEWS.md             |    4 ++++
 R/read_fgeo.R       |    2 +-
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 8 files changed, 20 insertions(+), 16 deletions(-)

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Package BIOdry updated to version 0.9.1 with previous version 0.9 dated 2022-05-02

Title: Multilevel Modeling of Dendroclimatical Fluctuations
Description: Multilevel ecological data series (MEDS) are sequences of observations ordered according to temporal/spatial hierarchies that are defined by sample designs, with sample variability confined to ecological factors. Dendroclimatic MEDS of tree rings and climate are modeled into normalized fluctuations of tree growth and aridity. Modeled fluctuations (model frames) are compared with Mantel correlograms on multiple levels defined by sample design. Package implementation can be understood by running examples in modelFrame(), and muleMan() functions.
Author: Wilson Lara [aut, cre] , Felipe Bravo [aut]
Maintainer: Wilson Lara <wilarhen@gmail.com>

Diff between BIOdry versions 0.9 dated 2022-05-02 and 0.9.1 dated 2025-04-03

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New package RStanTVA with initial version 0.2.0
Package: RStanTVA
Title: TVA Models in 'Stan' using 'R' and 'StanTVA'
Version: 0.2.0
Description: 'Stan' implementation of the Theory of Visual Attention (TVA; Bundesen, 1990; <doi:10.1037/0033-295X.97.4.523>) and numerous convenience functions for generating, compiling, fitting, and analyzing TVA models.
License: GPL (>= 3)
Encoding: UTF-8
BugReports: https://github.com/mmrabe/RStanTVA/issues
URL: https://github.com/mmrabe/RStanTVA
Date: 2025-03-25
Depends: rstan, R (>= 3.6)
Imports: dplyr, readr, tidyr, methods, utils, tibble, stats, cli, lme4, brms, rlang
Suggests: cmdstanr
Additional_repositories: https://stan-dev.r-universe.dev
LazyData: true
NeedsCompilation: no
Packaged: 2025-04-03 08:29:51 UTC; stp364
Author: Maximilian M. Rabe [aut, cre] , Soeren Kyllingsbaek [aut]
Maintainer: Maximilian M. Rabe <maximilian.rabe@uni-potsdam.de>
Repository: CRAN
Date/Publication: 2025-04-03 16:10:05 UTC

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New package RobinCar2 with initial version 0.1.1
Package: RobinCar2
Title: ROBust INference for Covariate Adjustment in Randomized Clinical Trials
Version: 0.1.1
Date: 2025-03-30
Description: Performs robust estimation and inference when using covariate adjustment and/or covariate-adaptive randomization in randomized controlled trials. This package is trimmed to reduce the dependencies and validated to be used across industry. See "FDA's final guidance on covariate adjustment"<https://www.regulations.gov/docket/FDA-2019-D-0934>, Tsiatis (2008) <doi:10.1002/sim.3113>, Bugni et al. (2018) <doi:10.1080/01621459.2017.1375934>, Ye, Shao, Yi, and Zhao (2023)<doi:10.1080/01621459.2022.2049278>, Ye, Shao, and Yi (2022)<doi:10.1093/biomet/asab015>, Rosenblum and van der Laan (2010)<doi:10.2202/1557-4679.1138>, Wang et al. (2021)<doi:10.1080/01621459.2021.1981338>, Ye, Bannick, Yi, and Shao (2023)<doi:10.1080/24754269.2023.2205802>, and Bannick, Shao, Liu, Du, Yi, and Ye (2024)<doi:10.48550/arXiv.2306.10213>.
License: Apache License 2.0
URL: https://github.com/openpharma/RobinCar2/
BugReports: https://github.com/openpharma/RobinCar2/issues
Depends: R (>= 3.6)
Imports: checkmate, numDeriv, MASS, sandwich, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-04-03 09:08:19 UTC; root
Author: Liming Li [aut, cre] , Marlena Bannick [aut] , Dong Xi [aut], Ting Ye [aut], Yanyao Yi [aut], Gregory Chen [ctb], Gilead Sciences, Inc. [cph, fnd], F. Hoffmann-La Roche AG [cph, fnd], Merck Sharp & Dohme, Inc. [cph, fnd], AstraZeneca plc [cph, fnd], [...truncated...]
Maintainer: Liming Li <liming.li1@astrazeneca.com>
Repository: CRAN
Date/Publication: 2025-04-03 16:10:02 UTC

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Package fgeo.analyze updated to version 1.1.15 with previous version 1.1.14 dated 2020-12-05

Title: Analyze ForestGEO Data
Description: To help you access, transform, analyze, and visualize ForestGEO data, we developed a collection of R packages (<https://forestgeo.github.io/fgeo/>). This package, in particular, helps you to implement analyses of plot species distributions, topography, demography, and biomass. It also includes a torus translation test to determine habitat associations of tree species as described by Zuleta et al. (2018) <doi:10.1007/s11104-018-3878-0>. To learn more about ForestGEO visit <https://forestgeo.si.edu/>.
Author: Mauro Lepore [aut, ctr, cre] , Gabriel Arellano [aut, rev], Richard Condit [aut], Matteo Detto [aut], Kyle Harms [aut], Suzanne Lao [aut, rev], KangMin Ngo [rev], Haley Overstreet [rev], Sabrina Russo [aut, rev], Daniel Zuleta [aut, rev], CTFS-Forest [...truncated...]
Maintainer: Mauro Lepore <maurolepore@gmail.com>

Diff between fgeo.analyze versions 1.1.14 dated 2020-12-05 and 1.1.15 dated 2025-04-03

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Package dipsaus updated to version 0.3.1 with previous version 0.3.0 dated 2024-12-17

Title: A Dipping Sauce for Data Analysis and Visualizations
Description: Works as an "add-on" to packages like 'shiny', 'future', as well as 'rlang', and provides utility functions. Just like dipping sauce adding flavors to potato chips or pita bread, 'dipsaus' for data analysis and visualizations adds handy functions and enhancements to popular packages. The goal is to provide simple solutions that are frequently asked for online, such as how to synchronize 'shiny' inputs without freezing the app, or how to get memory size on 'Linux' or 'MacOS' system. The enhancements roughly fall into these four categories: 1. 'shiny' input widgets; 2. high-performance computing using the 'future' package; 3. modify R calls and convert among numbers, strings, and other objects. 4. utility functions to get system information such like CPU chip-set, memory limit, etc.
Author: Zhengjia Wang [aut, cre], John Magnotti [ctb] , Xiang Zhang [ctb]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

Diff between dipsaus versions 0.3.0 dated 2024-12-17 and 0.3.1 dated 2025-04-03

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Package Cubist updated to version 0.5.0 with previous version 0.4.4 dated 2024-07-01

Title: Rule- And Instance-Based Regression Modeling
Description: Regression modeling using rules with added instance-based corrections.
Author: Max Kuhn [aut, cre], Steve Weston [ctb], Chris Keefer [ctb], Nathan Coulter [ctb], Ross Quinlan [aut] , Rulequest Research Pty Ltd. [cph]
Maintainer: Max Kuhn <mxkuhn@gmail.com>

Diff between Cubist versions 0.4.4 dated 2024-07-01 and 0.5.0 dated 2025-04-03

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New package DamageDetective with initial version 1.0.0
Package: DamageDetective
Title: Detecting Damaged Cells in Single-Cell RNA Sequencing Data
Version: 1.0.0
Description: Detects and filters damaged cells in single-cell RNA sequencing (scRNA-seq) data using a novel approach inspired by 'DoubletFinder'. Damage is detected by measuring the extent to which cells deviate from artificially damaged profiles of themselves, simulated through the probabilistic escape of cytoplasmic RNA. As output, a damage score ranging from 0 to 1 is given for each cell providing an intuitive scale for filtering that is standardised across cell types, samples, and experiments.
License: AGPL (>= 3)
Encoding: UTF-8
Language: en-US
LazyData: false
Depends: R (>= 4.4.0)
Imports: cowplot, dplyr, ggplot2, ggpubr, Matrix, patchwork, scales, RcppHNSW, rlang, tidyr, withr
Suggests: Seurat, knitr, rmarkdown, spelling
VignetteBuilder: knitr
URL: https://alicenjoyhenning.github.io/DamageDetective/, https://github.com/alicenjoyhenning/DamageDetective
BugReports: https://github.com/alicenjoyhenning/DamageDetective/issues
NeedsCompilation: no
Packaged: 2025-04-03 10:53:38 UTC; alicen
Author: Alicen Henning [aut, cre, cph]
Maintainer: Alicen Henning <alicen.jhb@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-03 16:20:02 UTC

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New package tabs with initial version 0.1.0
Package: tabs
Title: Temporal Altitudinal Biogeographic Shifts
Version: 0.1.0
Description: A standardized workflow to reconstruct spatial configurations of altitude-bounded biogeographic systems over time. For example, 'tabs' can model how island archipelagos expand or contract with changing sea levels or how alpine biomes shift in response to tree line movements. It provides functionality to account for various geophysical processes such as crustal deformation and other tectonic changes, allowing for a more accurate representation of biogeographic system dynamics. For more information see De Groeve et al. (2025) <doi:10.3897/arphapreprints.e151900>.
License: GPL (>= 3)
URL: https://uva_ibed_piac.gitlab.io/tabs/
BugReports: https://gitlab.com/uva_ibed_piac/tabs/-/issues
Depends: R (>= 2.10)
Imports: ape, dplyr, htmltools, htmlwidgets, httr, jsonlite, geojsonio, leaflet, leaftime, leaflet.extras, mapedit, qs2, rlang, sf, stringi, terra, gpkg, RSQLite
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-04-02 14:34:03 UTC; jedgroev
Author: Johannes De Groeve [aut, cre] , Sietze Norder [aut] , Eline Sterre Rentier [aut] , Suzette Flantua [ctb] , Kenneth Rijsdijk [ctb]
Maintainer: Johannes De Groeve <j.degroeve@uva.nl>
Repository: CRAN
Date/Publication: 2025-04-03 15:30:02 UTC

More information about tabs at CRAN
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Package redatamx updated to version 1.1.1 with previous version 1.1.0 dated 2024-12-22

Title: R Interface to 'Redatam' Library
Description: Provides an API to work with 'Redatam' (see <https://redatam.org>) databases in both formats: 'RXDB' (new format) and 'DICX' (old format) and running 'Redatam' programs written in 'SPC' language. It's a wrapper around 'Redatam' core and provides functions to open/close a database (redatam_open()/redatam_close()), list entities and variables from the database (redatam_entities(), redatam_variables()) and execute a 'SPC' program and gets the results as data frames (redatam_query(), redatam_run()).
Author: Jaime Salvador [aut, cre] , CELADE [cph]
Maintainer: Jaime Salvador <jaime.salvador@ideasybits.com>

Diff between redatamx versions 1.1.0 dated 2024-12-22 and 1.1.1 dated 2025-04-03

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Package r4ds.tutorials updated to version 0.3.1 with previous version 0.3.0 dated 2024-07-03

Title: Tutorials for "R for Data Science"
Description: When assigned "R for Data Science" (Wickham, Çetinkaya-Rundel, and Grolemund (2023, ISBN: 1492097402)), students should read the book and type in all the associated R commands themselves. Sadly, that never happens. These tutorials allow students to demonstrate (and their instructors to be sure) that all work has been completed. See Kane (2023) <https://ppbds.github.io/tutorial.helpers/articles/instructions.html> from the 'tutorial.helpers' package for a background discussion.
Author: David Kane [aut, cre, cph]
Maintainer: David Kane <dave.kane@gmail.com>

Diff between r4ds.tutorials versions 0.3.0 dated 2024-07-03 and 0.3.1 dated 2025-04-03

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New package NHSRwaitinglist with initial version 0.1.0
Package: NHSRwaitinglist
Title: Waiting List Metrics Using Queuing Theory
Version: 0.1.0
Maintainer: Chris Mainey <c.mainey1@nhs.net>
Description: Waiting list management using queuing theory to analyse, predict and manage queues, based on the approach described in Fong et al. (2022) <doi:10.1101/2022.08.23.22279117>. Aimed at UK National Health Service (NHS) applications, waiting list summary statistics, target-value calculations, waiting list simulation, and scheduling functions are included.
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://nhs-r-community.github.io/NHSRwaitinglist/
Imports: cli, dplyr, rlang, utils, stats, randomNames, methods
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: no
Packaged: 2025-04-02 15:06:58 UTC; ChrisMainey(Birmingh
Author: Neil Walton [aut] , Jacqueline Grout [ctb], Zoe Turner [ctb] , Matt Dray [aut], Paul Fenton [ctb], Peter Shakeshaft [ctb], Tom Smith [aut], Chris Mainey [cre, aut] , NHS-R community [cph]
Repository: CRAN
Date/Publication: 2025-04-03 15:50:02 UTC

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New package ggpicrust2 with initial version 2.0.0
Package: ggpicrust2
Title: Make 'PICRUSt2' Output Analysis and Visualization Easier
Version: 2.0.0
Description: Provides a convenient way to analyze and visualize 'PICRUSt2' output with pre-defined plots and functions. Allows for generating statistical plots about microbiome functional predictions and offers customization options. Features a one-click option for creating publication-level plots, saving time and effort in producing professional-grade figures. Streamlines the 'PICRUSt2' analysis and visualization process. For more details, see Yang et al. (2023) <doi:10.1093/bioinformatics/btad470>.
BugReports: https://github.com/cafferychen777/ggpicrust2/issues
URL: https://github.com/cafferychen777/ggpicrust2, https://cafferyang.com/ggpicrust2/
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: aplot, dplyr, ggplot2, grid, ggh4x, readr, tibble, tidyr, ggprism, patchwork, ggplotify, magrittr, progress, stats, methods, grDevices, utils
Depends: R (>= 3.5.0)
Suggests: Biobase, KEGGREST, ComplexHeatmap, BiocGenerics, knitr, rmarkdown, testthat (>= 3.0.0), ALDEx2, DESeq2, edgeR, GGally, limma, Maaslin2, metagenomeSeq, MicrobiomeStat, SummarizedExperiment, circlize, lefser
NeedsCompilation: no
Packaged: 2025-04-03 05:53:23 UTC; apple
Author: Chen Yang [aut, cre], Liangliang Zhang [aut]
Maintainer: Chen Yang <cafferychen7850@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-03 16:00:05 UTC

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New package friendlynumber with initial version 1.0.0
Package: friendlynumber
Title: Translate Numbers into Number Words
Version: 1.0.0
Description: Converts vectors of numbers into character vectors of numerals, including cardinals (one, two, three) and ordinals (first, second, third). Supports negative numbers, fractions, and arbitrary-precision integer and high-precision floating-point vectors provided by the 'bignum' package.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/EthanSansom/friendlynumber, https://ethansansom.github.io/friendlynumber/
BugReports: https://github.com/EthanSansom/friendlynumber/issues
Suggests: bignum, testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2025-04-02 10:35:30 UTC; ethansansom
Author: Ethan Sansom [aut, cre, cph]
Maintainer: Ethan Sansom <ethan.sansom29@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-03 15:10:05 UTC

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New package FARS with initial version 0.1.0
Package: FARS
Title: Factor-Augmented Regression Scenarios
Version: 0.1.0
Maintainer: Gian Pietro Bellocca <gbellocc@est-econ.uc3m.es>
Description: Provides a comprehensive framework in R for modeling and forecasting economic scenarios based on multi-level dynamic factor model. The package enables users to: (i) extract global and block-specific factors using a flexible multilevel factor structure; (ii) compute asymptotically valid confidence regions for the estimated factors, accounting for uncertainty in the factor loadings; (iii) estimate factor-augmented quantile regressions; (iv) recover full predictive densities from these quantile forecasts; and (v) estimate the density when the factors are stressed.
Depends: R (>= 3.5.0)
Imports: ggplot2, plotly, sn, nloptr, ellipse, SyScSelection, quantreg, tidyr, dplyr, forcats, MASS, reshape2,
Suggests: devtools, knitr, rmarkdown, openxlsx, readxl, zoo
VignetteBuilder: knitr
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-04-02 09:44:45 UTC; gianpietro
Author: Gian Pietro Bellocca [aut, cre], Ignacio Garron [aut], Vladimir Rodriguez-Caballero [aut], Esther Ruiz [aut]
Repository: CRAN
Date/Publication: 2025-04-03 15:10:10 UTC

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New package CytoProfile with initial version 0.1.2
Package: CytoProfile
Title: Cytokine Profiling Analysis Tool
Version: 0.1.2
Description: Provides comprehensive cytokine profiling analysis through quality control using biologically meaningful cutoffs on raw cytokine measurements and by testing for distributional symmetry to recommend appropriate transformations. Offers exploratory data analysis with summary statistics, enhanced boxplots, and barplots, along with univariate and multivariate analytical capabilities for in-depth cytokine profiling such as Principal Component Analysis based on Andrzej Maćkiewicz and Waldemar Ratajczak (1993) <doi:10.1016/0098-3004(93)90090-R>, Sparse Partial Least Squares Discriminant Analysis based on Lê Cao K-A, Boitard S, and Besse P (2011) <doi:10.1186/1471-2105-12-253>, Random Forest based on Breiman, L. (2001) <doi:10.1023/A:1010933404324>, and Extreme Gradient Boosting based on Tianqi Chen and Carlos Guestrin (2016) <doi:10.1145/2939672.2939785>.
Encoding: UTF-8
URL: https://github.com/saraswatsh/CytoProfile, https://saraswatsh.github.io/CytoProfile/
Depends: R (>= 4.3)
Imports: mixOmics, dplyr, tidyr, pROC, plot3D, caret, xgboost, randomForest, gplots, e1071, ggplot2, ggrepel, gridExtra, reshape2, prodlim
Suggests: spelling, BiocManager, testthat, knitr, rmarkdown, devtools, Ckmeans.1d.dp
NeedsCompilation: no
License: GPL (>= 2)
LazyData: true
VignetteBuilder: knitr
BugReports: https://github.com/saraswatsh/CytoProfile/issues
Language: en-US
Packaged: 2025-04-02 20:29:41 UTC; shubh
Author: Shubh Saraswat [cre, aut, cph] , Xiaohua Douglas Zhang [aut]
Maintainer: Shubh Saraswat <shubh.saraswat00@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-03 15:50:06 UTC

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New package TractorTsbox with initial version 0.1.1
Package: TractorTsbox
Title: Wrangle and Modify Ts Object with Classic Frequencies and Exact Dates
Version: 0.1.1
Description: The ts objects in R are managed using a very specific date format (in the form c(2022, 9) for September 2022 or c(2021, 2) for the second quarter of 2021, depending on the frequency, for example). We focus solely on monthly and quarterly series to manage the dates of ts objects. The general idea is to offer a set of functions to manage this date format without it being too restrictive or too imprecise depending on the rounding. This is a compromise between simplicity, precision and use of the basic 'stats' functions for creating and managing time series (ts(), window()). Les objets ts en R sont gérés par un format de date très particulier (sous la forme c(2022, 9) pour septembre 2022 ou c(2021, 2) pour le deuxième trimestre 2021 selon la fréquence par exemple). On se concentre uniquement sur les séries mensuelles et trimestrielles pour gérer les dates des objets ts. Lidée générale est de proposer un ensemble de fonctions pour gérer ce format de date sans que ce soit trop contraignant o [...truncated...]
License: GPL (>= 3)
URL: https://github.com/TractorTom/TractorTsbox, https://tractortom.github.io/TractorTsbox/
BugReports: https://github.com/TractorTom/TractorTsbox/issues
Encoding: UTF-8
Imports: stats, checkmate
Depends: R (>= 3.6)
LazyData: true
Suggests: testthat (>= 3.0.0), renv, fuzzr, pkgdown, devtools, usethis, covr, withr, altdoc
NeedsCompilation: no
Packaged: 2025-04-02 08:15:26 UTC; UTZK0M
Author: Tanguy Barthelemy [aut, cre]
Maintainer: Tanguy Barthelemy <tangbarth@hotmail.fr>
Repository: CRAN
Date/Publication: 2025-04-03 15:00:05 UTC

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New package spatemR with initial version 1.0.0
Package: spatemR
Title: Generalized Spatial Autoregresive Models for Mean and Variance
Version: 1.0.0
Description: Modeling spatial dependencies in dependent variables, extending traditional spatial regression approaches. It allows for the joint modeling of both the mean and the variance of the dependent variable, incorporating semiparametric effects in both models. Based on generalized additive models (GAM), the package enables the inclusion of non-parametric terms while maintaining the classical theoretical framework of spatial regression. Additionally, it implements the Generalized Spatial Autoregression (GSAR) model, which extends classical methods like logistic Spatial Autoregresive Models (SAR), probit Spatial Autoregresive Models (SAR), and Poisson Spatial Autoregresive Models (SAR), offering greater flexibility in modeling spatial dependencies and significantly improving computational efficiency and the statistical properties of the estimators. Related work includes: a) J.D. Toloza-Delgado, Melo O.O., Cruz N.A. (2024). "Joint spatial modeling of mean and non-homogeneous variance combining s [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: methods, stats, gamlss (>= 5.3-1), gamlss.dist
Suggests: testthat (>= 3.0.0), sp, spdep
NeedsCompilation: no
Packaged: 2025-04-02 09:04:07 UTC; UIB
Author: Nelson Alirio Cruz Gutierrez [aut, cre, cph], Oscar Orlando Melo [aut], Jurgen Toloza-Delgado [aut]
Maintainer: Nelson Alirio Cruz Gutierrez <nelson-alirio.cruz@uib.es>
Repository: CRAN
Date/Publication: 2025-04-03 15:00:02 UTC

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Package rolldown updated to version 0.2 with previous version 0.1 dated 2019-07-14

Title: R Markdown Output Formats for Storytelling
Description: R Markdown output formats based on JavaScript libraries such as 'Scrollama' (<https://github.com/russellsamora/scrollama>) for storytelling.
Author: Yihui Xie [aut, cre] , Siqi Zhang [ctb], Russell Goldenberg [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between rolldown versions 0.1 dated 2019-07-14 and 0.2 dated 2025-04-03

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Package kairos updated to version 2.2.1 with previous version 2.2.0 dated 2024-12-10

Title: Analysis of Chronological Patterns from Archaeological Count Data
Description: A toolkit for absolute and relative dating and analysis of chronological patterns. This package includes functions for chronological modeling and dating of archaeological assemblages from count data. It provides methods for matrix seriation. It also allows to compute time point estimates and density estimates of the occupation and duration of an archaeological site.
Author: Nicolas Frerebeau [aut, cre] , Brice Lebrun [art] , Ben Marwick [ctb] , Anne Philippe [ctb] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

Diff between kairos versions 2.2.0 dated 2024-12-10 and 2.2.1 dated 2025-04-03

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Package bigD updated to version 0.3.1 with previous version 0.3.0 dated 2024-11-08

Title: Flexibly Format Dates and Times to a Given Locale
Description: Format dates and times flexibly and to whichever locales make sense. Parses dates, times, and date-times in various formats (including string-based ISO 8601 constructions). The formatting syntax gives the user many options for formatting the date and time output in a precise manner. Time zones in the input can be expressed in multiple ways and there are many options for formatting time zones in the output as well. Several of the provided helper functions allow for automatic generation of locale-aware formatting patterns based on date/time skeleton formats and standardized date/time formats with varying specificity.
Author: Richard Iannone [aut, cre] , Olivier Roy [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Richard Iannone <rich@posit.co>

Diff between bigD versions 0.3.0 dated 2024-11-08 and 0.3.1 dated 2025-04-03

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Package oompaBase updated to version 3.2.10 with previous version 3.2.9 dated 2019-08-24

Title: Class Unions, Matrix Operations, and Color Schemes for OOMPA
Description: Provides the class unions that must be preloaded in order for the basic tools in the OOMPA (Object-Oriented Microarray and Proteomics Analysis) project to be defined and loaded. It also includes vectorized operations for row-by-row means, variances, and t-tests. Finally, it provides new color schemes. Details on the packages in the OOMPA project can be found at <http://oompa.r-forge.r-project.org/>.
Author: Kevin R. Coombes [aut, cre]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package lazyWeave updated to version 3.0.3 with previous version 3.0.2 dated 2018-01-25

Title: LaTeX Wrappers for R Users
Description: Provides the functionality to write LaTeX code from within R without having to learn LaTeX. Functionality also exists to create HTML and Markdown code. While the functionality still exists to write complete documents with lazyWeave, it is generally easier to do so with with markdown and knitr. lazyWeave's main strength now is the ability to design custom and complex tables for reporting results.
Author: Benjamin Nutter [aut, cre]
Maintainer: Benjamin Nutter <benjamin.nutter@gmail.com>

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Package arc updated to version 1.4.2 with previous version 1.4 dated 2023-08-17

Title: Association Rule Classification
Description: Implements the Classification-based on Association Rules (CBA) algorithm for association rule classification. The package, also described in Hahsler et al. (2019) <doi:10.32614/RJ-2019-048>, contains several convenience methods that allow to automatically set CBA parameters (minimum confidence, minimum support) and it also natively handles numeric attributes by integrating a pre-discretization step. The rule generation phase is handled by the 'arules' package. To further decrease the size of the CBA models produced by the 'arc' package, postprocessing by the 'qCBA' package is suggested.
Author: Tomas Kliegr [aut, cre]
Maintainer: Tomas Kliegr <kliegr@gmail.com>

Diff between arc versions 1.4 dated 2023-08-17 and 1.4.2 dated 2025-04-03

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Package SimBIID updated to version 0.2.2 with previous version 0.2.1 dated 2021-02-04

Title: Simulation-Based Inference Methods for Infectious Disease Models
Description: Provides some code to run simulations of state-space models, and then use these in the Approximate Bayesian Computation Sequential Monte Carlo (ABC-SMC) algorithm of Toni et al. (2009) <doi:10.1098/rsif.2008.0172> and a bootstrap particle filter based particle Markov chain Monte Carlo (PMCMC) algorithm (Andrieu et al., 2010 <doi:10.1111/j.1467-9868.2009.00736.x>). Also provides functions to plot and summarise the outputs.
Author: Trevelyan J. McKinley [aut, cre], Stefan Widgren [aut] , Pavol Bauer [cph] , Robin Eriksson [cph] , Stefan Engblom [cph]
Maintainer: Trevelyan J. McKinley <t.mckinley@exeter.ac.uk>

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Package revealjs updated to version 0.10.0 with previous version 0.9 dated 2017-03-13

Title: R Markdown Format for 'reveal.js' Presentations
Description: R Markdown format for 'reveal.js' presentations, a framework for easily creating beautiful presentations using HTML.
Author: Christophe Dervieux [cre], JJ Allaire [aut], Hakim El Hattab [aut, cph] , Asvin Goel [ctb, cph] , Greg Denehy [ctb, cph] , Posit Software, PBC [cph, fnd]
Maintainer: Christophe Dervieux <cderv@posit.co>

Diff between revealjs versions 0.9 dated 2017-03-13 and 0.10.0 dated 2025-04-03

 revealjs-0.10.0/revealjs/DESCRIPTION                                                           |   45 
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Package RARtrials updated to version 0.0.2 with previous version 0.0.1 dated 2024-06-04

Title: Response-Adaptive Randomization in Clinical Trials
Description: Some response-adaptive randomization methods commonly found in literature are included in this package. These methods include the randomized play-the-winner rule for binary endpoint (Wei and Durham (1978) <doi:10.2307/2286290>), the doubly adaptive biased coin design with minimal variance strategy for binary endpoint (Atkinson and Biswas (2013) <doi:10.1201/b16101>, Rosenberger and Lachin (2015) <doi:10.1002/9781118742112>) and maximal power strategy targeting Neyman allocation for binary endpoint (Tymofyeyev, Rosenberger, and Hu (2007) <doi:10.1198/016214506000000906>) and RSIHR allocation with each letter representing the first character of the names of the individuals who first proposed this rule (Youngsook and Hu (2010) <doi:10.1198/sbr.2009.0056>, Bello and Sabo (2016) <doi:10.1080/00949655.2015.1114116>), A-optimal Allocation for continuous endpoint (Sverdlov and Rosenberger (2013) <doi:10.1080/15598608.2013.783726>), Aa-optimal Allocatio [...truncated...]
Author: Chuyao Xu [aut, cre], Thomas Lumley [aut, ths], Alain Vandal [aut, ths], Sofia S. Villar [cph], Kyle J. Wathen [cph]
Maintainer: Chuyao Xu <cxu870@aucklanduni.ac.nz>

Diff between RARtrials versions 0.0.1 dated 2024-06-04 and 0.0.2 dated 2025-04-03

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Package qCBA updated to version 1.0.2 with previous version 1.0 dated 2024-08-28

Title: Postprocessing of Rule Classification Models Learnt on Quantized Data
Description: Implements the Quantitative Classification-based on Association Rules (QCBA) algorithm (<doi:10.1007/s10489-022-04370-x>). QCBA postprocesses rule classification models making them typically smaller and in some cases more accurate. Supported are 'CBA' implementations from 'rCBA', 'arulesCBA' and 'arc' packages, and 'CPAR', 'CMAR', 'FOIL2' and 'PRM' implementations from 'arulesCBA' package and 'SBRL' implementation from the 'sbrl' package. The result of the post-processing is an ordered CBA-like rule list.
Author: Tomas Kliegr [aut, cre]
Maintainer: Tomas Kliegr <kliegr@gmail.com>

Diff between qCBA versions 1.0 dated 2024-08-28 and 1.0.2 dated 2025-04-03

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Package abe updated to version 5.1.2 with previous version 3.0.1 dated 2017-10-30

Title: Augmented Backward Elimination
Description: Performs augmented backward elimination and checks the stability of the obtained model. Augmented backward elimination combines significance or information based criteria with the change in estimate to either select the optimal model for prediction purposes or to serve as a tool to obtain a practically sound, highly interpretable model. More details can be found in Dunkler et al. (2014) <doi:10.1371/journal.pone.0113677>.
Author: Rok Blagus [aut, cre], Sladana Babic [ctb], Daniela Dunkler [ctb], Georg Heinze [ctb], Gregor Steiner [ctb]
Maintainer: Rok Blagus <rok.blagus@mf.uni-lj.si>

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Package sentometrics updated to version 1.0.1 with previous version 1.0.0 dated 2021-08-18

Title: An Integrated Framework for Textual Sentiment Time Series Aggregation and Prediction
Description: Optimized prediction based on textual sentiment, accounting for the intrinsic challenge that sentiment can be computed and pooled across texts and time in various ways. See Ardia et al. (2021) <doi:10.18637/jss.v099.i02>.
Author: Samuel Borms [aut, cre] , David Ardia [aut] , Keven Bluteau [aut] , Kris Boudt [aut] , Jeroen Van Pelt [ctb], Andres Algaba [ctb]
Maintainer: Samuel Borms <borms_sam@hotmail.com>

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Package MLE updated to version 1.5 with previous version 1.4 dated 2025-02-17

Title: Maximum Likelihood Estimation of Various Univariate and Multivariate Distributions
Description: Several functions for maximum likelihood estimation of various univariate and multivariate distributions. The list includes more than 100 functions for univariate continuous and discrete distributions, distributions that lie on the real line, the positive line, interval restricted, circular distributions. Further, multivariate continuous and discrete distributions, distributions for compositional and directional data, etc. Some references include Johnson N. L., Kotz S. and Balakrishnan N. (1994). "Continuous Univariate Distributions, Volume 1" <ISBN:978-0-471-58495-7>, Johnson, Norman L. Kemp, Adrianne W. Kotz, Samuel (2005). "Univariate Discrete Distributions". <ISBN:978-0-471-71580-1> and Mardia, K. V. and Jupp, P. E. (2000). "Directional Statistics". <ISBN:978-0-471-95333-3>.
Author: Michail Tsagris [aut, cre], Sofia Piperaki [aut], Muhammad Imran [ctb], Rafail Vargiakakis [aut], Nikolaos Kontemeniotis [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package HDANOVA updated to version 0.8.3 with previous version 0.8.2 dated 2025-01-21

Title: High-Dimensional Analysis of Variance
Description: Functions and datasets to support Smilde, Marini, Westerhuis and Liland (2025, ISBN: 978-1-394-21121-0) "Analysis of Variance for High-Dimensional Data - Applications in Life, Food and Chemical Sciences". This implements and imports a collection of methods for HD-ANOVA data analysis with common interfaces, result- and plotting functions, multiple real data sets and four vignettes covering a range different applications.
Author: Kristian Hovde Liland [aut, cre]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package toastui updated to version 0.4.0 with previous version 0.3.4 dated 2024-09-18

Title: Interactive Tables, Calendars and Charts for the Web
Description: Create interactive tables, calendars, charts and markdown WYSIWYG editor with 'TOAST UI' <https://ui.toast.com/> libraries to integrate in 'shiny' applications or 'rmarkdown' 'HTML' documents.
Author: Victor Perrier [aut, cre, cph], Fanny Meyer [aut], NHN FE Development Lab [cph]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

Diff between toastui versions 0.3.4 dated 2024-09-18 and 0.4.0 dated 2025-04-03

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Permanent link

Package ImportExport updated to version 1.3.1 with previous version 1.3 dated 2020-09-21

Title: Import and Export Data
Description: Import and export data from the most common statistical formats by using R functions that guarantee the least loss of the data information, giving special attention to the date variables and the labelled ones.
Author: Roger Pros [aut], Isaac Subirana [aut, cre], Joan Vila [ctb]
Maintainer: Isaac Subirana <isubirana@imim.es>

Diff between ImportExport versions 1.3 dated 2020-09-21 and 1.3.1 dated 2025-04-03

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Permanent link

Package GitStats updated to version 2.3.0 with previous version 2.2.2 dated 2025-02-11

Title: Standardized Git Repository Data
Description: Obtain standardized data from multiple 'Git' services, including 'GitHub' and 'GitLab'. Designed to be 'Git' service-agnostic, this package assists teams with activities spread across various 'Git' platforms by providing a unified way to access repository data.
Author: Maciej Banas [aut, cre], Kamil Koziej [aut], Karolina Marcinkowska [aut], Matt Secrest [aut]
Maintainer: Maciej Banas <banasmaciek@gmail.com>

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Permanent link

Package blastula updated to version 0.3.6 with previous version 0.3.5 dated 2024-02-24

Title: Easily Send HTML Email Messages
Description: Compose and send out responsive HTML email messages that render perfectly across a range of email clients and device sizes. Helper functions let the user insert embedded images, web link buttons, and 'ggplot2' plot objects into the message body. Messages can be sent through an 'SMTP' server, through the 'Posit Connect' service, or through the 'Mailgun' API service <https://www.mailgun.com/>.
Author: Richard Iannone [aut, cre] , Joe Cheng [aut], Jeroen Ooms [ctb] , Ted Goas [cph] , Posit Software, PBC [cph, fnd]
Maintainer: Richard Iannone <rich@posit.co>

Diff between blastula versions 0.3.5 dated 2024-02-24 and 0.3.6 dated 2025-04-03

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More information about blastula at CRAN
Permanent link

New package forestdata with initial version 0.3.0
Package: forestdata
Title: Download Forestry Data
Version: 0.3.0
Description: Functions for downloading forestry and land use data for use in spatial analysis. This packages offers a user-friendly solution to quickly obtain datasets such as forest height, forest types, tree species under various climate change scenarios, or land use data among others.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: sf, stringr, tibble, tidyr, dplyr, purrr, terra, stringi, archive, foreign, lifecycle, cli, glue
Depends: R (>= 4.1.0)
Suggests: aws.s3, RODBC, odbc, giscoR, testthat (>= 3.0.0), rmarkdown, ggplot2, tidyterra
URL: https://cidree.github.io/forestdata/
NeedsCompilation: no
Packaged: 2025-04-02 22:26:45 UTC; User
Author: Adrian Cidre Gonzalez [aut, cre]
Maintainer: Adrian Cidre Gonzalez <adrian.cidre@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-03 07:40:02 UTC

More information about forestdata at CRAN
Permanent link

Package C50 updated to version 0.2.0 with previous version 0.1.8 dated 2023-02-08

Title: C5.0 Decision Trees and Rule-Based Models
Description: C5.0 decision trees and rule-based models for pattern recognition that extend the work of Quinlan (1993, ISBN:1-55860-238-0).
Author: Max Kuhn [aut, cre], Steve Weston [ctb], Mark Culp [ctb], Nathan Coulter [ctb], Ross Quinlan [aut] , RuleQuest Research [cph] , Rulequest Research Pty Ltd. [cph]
Maintainer: Max Kuhn <mxkuhn@gmail.com>

Diff between C50 versions 0.1.8 dated 2023-02-08 and 0.2.0 dated 2025-04-03

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Package amberr updated to version 1.2.0 with previous version 1.1.0 dated 2024-07-05

Title: 'Amber' Electronic Data Capture Client
Description: 'Amber' is a server application for capturing electronic data records. Rich forms are used to collect data. This 'Amber' client allows to perform data extraction for reporting or data transfer at persistent location purposes.
Author: Yannick Marcon [aut, cre] , OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>

Diff between amberr versions 1.1.0 dated 2024-07-05 and 1.2.0 dated 2025-04-03

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Permanent link

Package mclustAddons updated to version 0.9.2 with previous version 0.9.1 dated 2024-11-13

Title: Addons for the 'mclust' Package
Description: Extend the functionality of the 'mclust' package for Gaussian finite mixture modeling by including: density estimation for data with bounded support (Scrucca, 2019 <doi:10.1002/bimj.201800174>); modal clustering using MEM (Modal EM) algorithm for Gaussian mixtures (Scrucca, 2021 <doi:10.1002/sam.11527>); entropy estimation via Gaussian mixture modeling (Robin & Scrucca, 2023 <doi:10.1016/j.csda.2022.107582>); Gaussian mixtures modeling of financial log-returns (Scrucca, 2024 <doi:10.3390/e26110907>).
Author: Luca Scrucca [aut, cre, cph]
Maintainer: Luca Scrucca <luca.scrucca@unibo.it>

Diff between mclustAddons versions 0.9.1 dated 2024-11-13 and 0.9.2 dated 2025-04-03

 DESCRIPTION                |   12 ++++-----
 MD5                        |   22 ++++++++---------
 NEWS.md                    |    6 ++++
 R/GMM_finance.R            |    3 --
 R/MclustBounded.R          |   20 ++++-----------
 R/ModalEM.R                |    4 +--
 R/densityMclustBounded.R   |   58 ++++++++++++++++++++++++++++-----------------
 build/partial.rdb          |binary
 build/vignette.rds         |binary
 inst/doc/mclustAddons.html |   42 ++++++++++++++++----------------
 man/MclustBounded.Rd       |    6 ++--
 man/rangepowerTransform.Rd |    4 +--
 12 files changed, 95 insertions(+), 82 deletions(-)

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Package lazysf updated to version 0.2.0 with previous version 0.1.0 dated 2020-11-14

Title: Delayed Read for 'GDAL' Vector Data Sources
Description: Lazy read for drawings. A 'dplyr' back end for data sources supported by 'GDAL' vector drivers, that allows working with local or remote sources as if they are in-memory data frames. Basic features works with any drawing format ('GDAL vector data source') supported by the 'sf' package.
Author: Michael Sumner [aut, cre]
Maintainer: Michael Sumner <mdsumner@gmail.com>

Diff between lazysf versions 0.1.0 dated 2020-11-14 and 0.2.0 dated 2025-04-03

 DESCRIPTION                        |   14 -
 MD5                                |   44 ++--
 NEWS.md                            |    6 
 R/SFSQLConnection.R                |   13 +
 R/SFSQLDriver.R                    |    6 
 R/SFSQLResult.R                    |    4 
 R/connect.R                        |    2 
 R/lazysf-package.R                 |    1 
 R/lazysf.R                         |    2 
 README.md                          |  158 +++++++++--------
 build/vignette.rds                 |binary
 inst/doc/GDALSQL.R                 |    2 
 inst/doc/GDALSQL.Rmd               |   12 -
 inst/doc/GDALSQL.html              |  337 +++++++++++++++++--------------------
 inst/misc/SFSQL_PGDriver.R         |    4 
 man/SFSQL.Rd                       |    2 
 man/SFSQLConnection-class.Rd       |    2 
 man/SFSQLDriver-class.Rd           |    6 
 man/SFSQLResult-class.Rd           |    4 
 man/figures/README-sf-action-1.png |binary
 man/lazysf-package.Rd              |   11 -
 man/lazysf.Rd                      |    2 
 vignettes/GDALSQL.Rmd              |   12 -
 23 files changed, 326 insertions(+), 318 deletions(-)

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Package PKPDsim (with last version 1.4.0) was removed from CRAN

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

2024-08-19 1.4.0
2023-03-02 1.3.0
2022-04-01 1.1.1

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Package omnibus updated to version 1.2.15 with previous version 1.2.14 dated 2024-09-17

Title: Helper Tools for Managing Data, Dates, Missing Values, and Text
Description: An assortment of helper functions for managing data (e.g., rotating values in matrices by a user-defined angle, switching from row- to column-indexing), dates (e.g., intuiting year from messy date strings), handling missing values (e.g., removing elements/rows across multiple vectors or matrices if any have an NA), text (e.g., flushing reports to the console in real-time); and combining data frames with different schema (copying, filling, or concatenating columns or applying functions before combining).
Author: Adam B. Smith [cre, aut]
Maintainer: Adam B. Smith <adam.smith@mobot.org>

Diff between omnibus versions 1.2.14 dated 2024-09-17 and 1.2.15 dated 2025-04-03

 omnibus-1.2.14/omnibus/R/ellipseNames.r        |only
 omnibus-1.2.14/omnibus/man/ellipseNames.Rd     |only
 omnibus-1.2.15/omnibus/DESCRIPTION             |   13 -
 omnibus-1.2.15/omnibus/MD5                     |   99 +++++------
 omnibus-1.2.15/omnibus/NAMESPACE               |    2 
 omnibus-1.2.15/omnibus/NEWS.md                 |    7 
 omnibus-1.2.15/omnibus/R/cull.r                |    4 
 omnibus-1.2.15/omnibus/R/memUse.r              |   14 -
 omnibus-1.2.15/omnibus/R/omnibus.r             |    2 
 omnibus-1.2.15/omnibus/R/runifMatrix.r         |only
 omnibus-1.2.15/omnibus/R/screenRes.r           |only
 omnibus-1.2.15/omnibus/README.md               |   28 +--
 omnibus-1.2.15/omnibus/man/bracket.Rd          |   96 +++++-----
 omnibus-1.2.15/omnibus/man/capIt.Rd            |   48 ++---
 omnibus-1.2.15/omnibus/man/combineDf.Rd        |  170 +++++++++---------
 omnibus-1.2.15/omnibus/man/corner.Rd           |   64 +++----
 omnibus-1.2.15/omnibus/man/countDecDigits.Rd   |   40 ++--
 omnibus-1.2.15/omnibus/man/cull.Rd             |   52 ++---
 omnibus-1.2.15/omnibus/man/dirCreate.Rd        |   40 ++--
 omnibus-1.2.15/omnibus/man/domLeap.Rd          |   40 ++--
 omnibus-1.2.15/omnibus/man/domNonLeap.Rd       |   40 ++--
 omnibus-1.2.15/omnibus/man/doyLeap.Rd          |   40 ++--
 omnibus-1.2.15/omnibus/man/doyNonLeap.Rd       |   40 ++--
 omnibus-1.2.15/omnibus/man/eps.Rd              |   34 +--
 omnibus-1.2.15/omnibus/man/figures             |only
 omnibus-1.2.15/omnibus/man/insert.Rd           |   72 ++++----
 omnibus-1.2.15/omnibus/man/insertCol.Rd        |  104 +++++------
 omnibus-1.2.15/omnibus/man/isLeapYear.Rd       |   42 ++--
 omnibus-1.2.15/omnibus/man/isTRUENA.Rd         |   82 ++++-----
 omnibus-1.2.15/omnibus/man/listFiles.Rd        |   54 +++---
 omnibus-1.2.15/omnibus/man/longRun.Rd          |   64 +++----
 omnibus-1.2.15/omnibus/man/maxRuns.Rd          |  100 +++++------
 omnibus-1.2.15/omnibus/man/memUse.Rd           |   68 +++----
 omnibus-1.2.15/omnibus/man/mergeLists.Rd       |   66 +++----
 omnibus-1.2.15/omnibus/man/mirror.Rd           |   74 ++++----
 omnibus-1.2.15/omnibus/man/mmode.Rd            |   50 ++---
 omnibus-1.2.15/omnibus/man/naCompare.Rd        |  160 ++++++++---------
 omnibus-1.2.15/omnibus/man/naOmitMulti.Rd      |   52 ++---
 omnibus-1.2.15/omnibus/man/naRows.Rd           |   50 ++---
 omnibus-1.2.15/omnibus/man/omnibus.Rd          |  215 ++++++++++++-----------
 omnibus-1.2.15/omnibus/man/pairDist.Rd         |   64 +++----
 omnibus-1.2.15/omnibus/man/prefix.Rd           |   52 ++---
 omnibus-1.2.15/omnibus/man/quadArea.Rd         |   56 +++---
 omnibus-1.2.15/omnibus/man/renumSeq.Rd         |   64 +++----
 omnibus-1.2.15/omnibus/man/rotateMatrix.Rd     |   62 +++---
 omnibus-1.2.15/omnibus/man/roundTo.Rd          |   60 +++---
 omnibus-1.2.15/omnibus/man/roundedSigDigits.Rd |  194 ++++++++++-----------
 omnibus-1.2.15/omnibus/man/rowColIndexing.Rd   |   76 ++++----
 omnibus-1.2.15/omnibus/man/runifMatrix.Rd      |only
 omnibus-1.2.15/omnibus/man/say.Rd              |   98 +++++-----
 omnibus-1.2.15/omnibus/man/screenRes.Rd        |only
 omnibus-1.2.15/omnibus/man/stretchMinMax.Rd    |   98 +++++-----
 omnibus-1.2.15/omnibus/man/which.pmax.Rd       |   90 +++++-----
 omnibus-1.2.15/omnibus/man/yearFromDate.Rd     |  224 ++++++++++++-------------
 54 files changed, 1636 insertions(+), 1628 deletions(-)

More information about omnibus at CRAN
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