Fri, 25 Apr 2025

Package evola updated to version 1.0.5 with previous version 1.0.4 dated 2025-01-18

Title: Evolutionary Algorithm
Description: Runs an evolutionary algorithm using the 'AlphaSimR' machinery <doi:10.1093/g3journal/jkaa017> .
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

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Package mbg updated to version 1.1.0 with previous version 1.0.0 dated 2025-04-02

Title: Model-Based Geostatistics
Description: Modern model-based geostatistics for point-referenced data. This package provides a simple interface to run spatial machine learning models and geostatistical models that estimate a continuous (raster) surface from point-referenced outcomes and, optionally, a set of raster covariates. The package also includes functions to summarize raster outcomes by (polygon) region while preserving uncertainty.
Author: Nathaniel Henry [aut, cre] , Benjamin Mayala [aut]
Maintainer: Nathaniel Henry <nat@henryspatialanalysis.com>

Diff between mbg versions 1.0.0 dated 2025-04-02 and 1.1.0 dated 2025-04-25

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Package rollama updated to version 0.2.2 with previous version 0.2.1 dated 2025-04-24

Title: Communicate with 'Ollama' to Run Large Language Models Locally
Description: Wraps the 'Ollama' <https://ollama.com> API, which can be used to communicate with generative large language models locally.
Author: Johannes B. Gruber [aut, cre] , Maximilian Weber [aut, ctb]
Maintainer: Johannes B. Gruber <JohannesB.Gruber@gmail.com>

Diff between rollama versions 0.2.1 dated 2025-04-24 and 0.2.2 dated 2025-04-25

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Package RcppArmadillo updated to version 14.4.2-1 with previous version 14.4.1-1 dated 2025-03-28

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Dirk Eddelbuettel [aut, cre] , Romain Francois [aut] , Doug Bates [aut] , Binxiang Ni [aut], Conrad Sanderson [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 14.4.1-1 dated 2025-03-28 and 14.4.2-1 dated 2025-04-25

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New package onemap with initial version 3.2.1
Package: onemap
Title: Construction of Genetic Maps in Experimental Crosses
Version: 3.2.1
Description: Analysis of molecular marker data from model and non-model systems. For the later, it allows statistical analysis by simultaneously estimating linkage and linkage phases (genetic map construction) according to Wu and colleagues (2002) <doi:10.1006/tpbi.2002.1577>. All analysis are based on multi-point approaches using hidden Markov models.
Author: Gabriel Margarido [aut], Marcelo Mollinari [aut], Cristiane Taniguti [ctb, cre], Getulio Ferreira [ctb], Rodrigo Amadeu [ctb], Jeekin Lau [ctb], Karl Broman [ctb], Katharine Preedy [ctb, cph] , Bastian Schiffthaler [ctb, cph] , Augusto Garcia [aut, c [...truncated...]
LinkingTo: Rcpp (>= 1.0.0)
Depends: R (>= 3.6.0)
Imports: ggplot2 (>= 2.2.1), plotly (>= 4.7.1), reshape2 (>= 1.4.1), Rcpp (>= 0.10.5), graphics, methods, stats, utils, grDevices, smacof, princurve, parallel, dplyr, tidyr, htmlwidgets, ggpubr, RColorBrewer, dendextend, rebus, vcfR (>= 1.6.0)
Suggests: knitr (>= 1.10), rmarkdown, testthat, stringr
VignetteBuilder: knitr
Encoding: UTF-8
License: GPL-3
URL: https://github.com/cristianetaniguti/onemap
BugReports: https://github.com/Cristianetaniguti/onemap/issues
Maintainer: Cristiane Taniguti <cht47@cornell.edu>
Repository: CRAN
Packaged: 2025-04-25 19:38:57 UTC; cht47
NeedsCompilation: yes
Date/Publication: 2025-04-25 23:20:06 UTC

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Package ODRF updated to version 0.0.5 with previous version 0.0.4 dated 2023-05-28

Title: Oblique Decision Random Forest for Classification and Regression
Description: The oblique decision tree (ODT) uses linear combinations of predictors as partitioning variables in a decision tree. Oblique Decision Random Forest (ODRF) is an ensemble of multiple ODTs generated by feature bagging. Oblique Decision Boosting Tree (ODBT) applies feature bagging during the training process of ODT-based boosting trees to ensemble multiple boosting trees. All three methods can be used for classification and regression, and ODT and ODRF serve as supplements to the classical CART of Breiman (1984) <DOI:10.1201/9781315139470> and Random Forest of Breiman (2001) <DOI:10.1023/A:1010933404324> respectively.
Author: Yu Liu [aut, cre, cph], Yingcun Xia [aut]
Maintainer: Yu Liu <liuyuchina123@gmail.com>

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Package flexlsx updated to version 0.3.5 with previous version 0.3.4 dated 2025-02-26

Title: Exporting 'flextable' to 'xlsx' Files
Description: Exports 'flextable' objects to 'xlsx' files, utilizing functionalities provided by 'flextable' and 'openxlsx2'.
Author: Tobias Heidler [aut, cre, cph]
Maintainer: Tobias Heidler <flexlsx@heidler.ovh>

Diff between flexlsx versions 0.3.4 dated 2025-02-26 and 0.3.5 dated 2025-04-25

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Package rgplates updated to version 0.6.0 with previous version 0.5.0 dated 2024-09-06

Title: R Interface for the GPlates Web Service and Desktop Application
Description: Query functions to the GPlates <https://www.gplates.org/> Desktop Application and the GPlates Web Service <https://gws.gplates.org/> allow users to reconstruct past positions of geographic entities based on user-selected rotation models without leaving the R running environment. The online method (GPlates Web Service) makes the rotation of static plates, coastlines, and a low number of geographic coordinates available using nothing but an internet connection. The offline method requires an external installation of the GPlates Desktop Application, but allows the efficient batch rotation of thousands of coordinates, Simple Features (sf) and Spatial (sp) objects with custom reconstruction trees and partitioning polygons. Examples of such plate tectonic models are accessible via the chronosphere <https://cran.r-project.org/package=chronosphere>. This R extension is developed under the umbrella of the DFG (Deutsche Forschungsgemeinschaft) Research Unit TERSANE2 (For 2332, [...truncated...]
Author: Adam T. Kocsis [cre, aut] , Nussaibah B. Raja [ctb] , Simon Williams [ctb] , Elizabeth M. Dowding [ctb] , Deutsche Forschungsgemeinschaft [fnd], FAU GeoZentrum Nordbayern [fnd]
Maintainer: Adam T. Kocsis <adam.t.kocsis@gmail.com>

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Package nanostringr updated to version 0.6.0 with previous version 0.5.0 dated 2025-02-05

Title: Performs Quality Control, Data Normalization, and Batch Effect Correction for 'NanoString nCounter' Data
Description: Provides quality control (QC), normalization, and batch effect correction operations for 'NanoString nCounter' data, Talhouk et al. (2016) <doi:10.1371/journal.pone.0153844>. Various metrics are used to determine which samples passed or failed QC. Gene expression should first be normalized to housekeeping genes, before a reference-based approach is used to adjust for batch effects. Raw NanoString data can be imported in the form of Reporter Code Count (RCC) files.
Author: Derek Chiu [aut, cre] , Aline Talhouk [aut] , Samuel Leung [aut]
Maintainer: Derek Chiu <dchiu@bccrc.ca>

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Package geoR updated to version 1.9-5 with previous version 1.9-4 dated 2024-02-15

Title: Analysis of Geostatistical Data
Description: Geostatistical analysis including variogram-based, likelihood-based and Bayesian methods. Software companion for Diggle and Ribeiro (2007) <doi:10.1007/978-0-387-48536-2>.
Author: Paulo Justiniano Ribeiro Jr [aut, cre], Peter Diggle [aut], Ole Christensen [ctb], Martin Schlather [ctb], Roger Bivand [ctb], Brian Ripley [ctb]
Maintainer: Paulo Justiniano Ribeiro Jr <paulojus@ufpr.br>

Diff between geoR versions 1.9-4 dated 2024-02-15 and 1.9-5 dated 2025-04-25

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Package CausalModels updated to version 0.2.1 with previous version 0.2.0 dated 2022-11-23

Title: Causal Inference Modeling for Estimation of Causal Effects
Description: Provides an array of statistical models common in causal inference such as standardization, IP weighting, propensity matching, outcome regression, and doubly-robust estimators. Estimates of the average treatment effects from each model are given with the standard error and a 95% Wald confidence interval (Hernan, Robins (2020) <https://miguelhernan.org/whatifbook/>).
Author: Joshua Anderson [aut, cre, cph], Cyril Rakovski [rev], Yesha Patel [rev], Erin Lee [rev]
Maintainer: Joshua Anderson <jwanderson198@gmail.com>

Diff between CausalModels versions 0.2.0 dated 2022-11-23 and 0.2.1 dated 2025-04-25

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Package zippeR updated to version 0.1.2 with previous version 0.1.1 dated 2025-02-25

Title: Working with United States ZIP Code and ZIP Code Tabulation Area Data
Description: Provides a set of functions for working with American postal codes, which are known as ZIP Codes. These include accessing ZIP Code to ZIP Code Tabulation Area (ZCTA) crosswalks, retrieving demographic data for ZCTAs, and tabulating demographic data for three-digit ZCTAs.
Author: Christopher Prener [aut, cre] , Timothy Wiemken [aut] , Angela Cook [aut]
Maintainer: Christopher Prener <Christopher.Prener@pfizer.com>

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Package super updated to version 0.1.1 with previous version 0.1.0 dated 2025-03-11

Title: Interpreted String Literals
Description: An implementation of interpreted string literals. Based on the 'glue' package by Hester & Bryan (2024) <doi:10.32614/CRAN.package.glue> but with a focus on efficiency and simplicity at a cost of flexibility.
Author: Tim Taylor [aut, cre] , Jim Hester [aut] , Jennifer Bryan [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package rprime updated to version 0.1.3 with previous version 0.1.2 dated 2020-09-24

Title: Functions for Working with 'Eprime' Text Files
Description: 'Eprime' is a set of programs for administering psychological experiments by computer. This package provides functions for loading, parsing, filtering and exporting data in the text files produced by 'Eprime' experiments.
Author: Tristan Mahr [aut, cre]
Maintainer: Tristan Mahr <tristan.mahr@wisc.edu>

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Package microsynth updated to version 2.0.51 with previous version 2.0.44 dated 2023-06-30

Title: Synthetic Control Methods with Micro- And Meso-Level Data
Description: A generalization of the 'Synth' package that is designed for data at a more granular level (e.g., micro-level). Provides functions to construct weights (including propensity score-type weights) and run analyses for synthetic control methods with micro- and meso-level data; see Robbins, Saunders, and Kilmer (2017) <doi:10.1080/01621459.2016.1213634> and Robbins and Davenport (2021) <doi:10.18637/jss.v097.i02>.
Author: Michael Robbins [aut, cre], Steven Davenport [aut]
Maintainer: Michael Robbins <mrobbins@rand.org>

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Package XDNUTS updated to version 1.6 with previous version 1.5.6 dated 2025-01-28

Title: Discontinuous Hamiltonian Monte Carlo with Varying Trajectory Length
Description: Hamiltonian Monte Carlo for both continuous and discontinuous posterior distributions with customisable trajectory length termination criterion. See Nishimura et al. (2020) <doi:10.1093/biomet/asz083> for the original Discontinuous Hamiltonian Monte Carlo, Hoffman et al. (2014) <doi:10.48550/arXiv.1111.4246> and Betancourt (2016) <doi:10.48550/arXiv.1601.00225> for the definition of possible Hamiltonian Monte Carlo termination criteria.
Author: Paolo Manildo [aut, cre]
Maintainer: Paolo Manildo <paolo.manildo@phd.unipd.it>

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Package skpr updated to version 1.8.2 with previous version 1.7.1 dated 2024-03-25

Title: Design of Experiments Suite: Generate and Evaluate Optimal Designs
Description: Generates and evaluates D, I, A, Alias, E, T, and G optimal designs. Supports generation and evaluation of blocked and split/split-split/.../N-split plot designs. Includes parametric and Monte Carlo power evaluation functions, and supports calculating power for censored responses. Provides a framework to evaluate power using functions provided in other packages or written by the user. Includes a Shiny graphical user interface that displays the underlying code used to create and evaluate the design to improve ease-of-use and make analyses more reproducible. For details, see Morgan-Wall et al. (2021) <doi:10.18637/jss.v099.i01>.
Author: Tyler Morgan-Wall [aut, cre], George Khoury [aut]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

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Package RBesT updated to version 1.8-2 with previous version 1.8-1 dated 2025-01-21

Title: R Bayesian Evidence Synthesis Tools
Description: Tool-set to support Bayesian evidence synthesis. This includes meta-analysis, (robust) prior derivation from historical data, operating characteristics and analysis (1 and 2 sample cases). Please refer to Weber et al. (2021) <doi:10.18637/jss.v100.i19> for details on applying this package while Neuenschwander et al. (2010) <doi:10.1177/1740774509356002> and Schmidli et al. (2014) <doi:10.1111/biom.12242> explain details on the methodology.
Author: Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Beat Neuenschwander [ctb], Heinz Schmidli [ctb], Baldur Magnusson [ctb], Yue Li [ctb], Satrajit Roychoudhury [ctb], Lukas A. Widmer [ctb] , Trustees of Columbia University [cph]
Maintainer: Sebastian Weber <sebastian.weber@novartis.com>

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Package psd updated to version 2.1.2 with previous version 2.1.1 dated 2022-01-31

Title: Adaptive, Sine-Multitaper Power Spectral Density and Cross Spectrum Estimation
Description: Produces power spectral density estimates through iterative refinement of the optimal number of sine-tapers at each frequency. This optimization procedure is based on the method of Riedel and Sidorenko (1995), which minimizes the Mean Square Error (sum of variance and bias) at each frequency, but modified for computational stability. The same procedure can now be used to calculate the cross spectrum (multivariate analyses).
Author: Andrew J. Barbour [aut, cre] , Jonathan Kennel [aut] , Robert L. Parker [aut]
Maintainer: Andrew J. Barbour <andy.barbour@gmail.com>

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Package PracTools updated to version 1.6 with previous version 1.5 dated 2024-06-24

Title: Designing and Weighting Survey Samples
Description: Functions and datasets to support Valliant, Dever, and Kreuter (2018), <doi:10.1007/978-3-319-93632-1>, "Practical Tools for Designing and Weighting Survey Samples". Contains functions for sample size calculation for survey samples using stratified or clustered one-, two-, and three-stage sample designs, and single-stage audit sample designs. Functions are included that will group geographic units accounting for distances apart and measures of size. Other functions compute variance components for multistage designs and sample sizes in two-phase designs. A number of example data sets are included.
Author: Richard Valliant [aut, cre], Jill A. Dever [ctb], Frauke Kreuter [ctb], George Zipf [aut]
Maintainer: Richard Valliant <valliant@umich.edu>

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Package OncoBayes2 updated to version 0.9-3 with previous version 0.9-2 dated 2025-04-07

Title: Bayesian Logistic Regression for Oncology Dose-Escalation Trials
Description: Bayesian logistic regression model with optional EXchangeability-NonEXchangeability parameter modelling for flexible borrowing from historical or concurrent data-sources. The safety model can guide dose-escalation decisions for adaptive oncology Phase I dose-escalation trials which involve an arbitrary number of drugs. Please refer to Neuenschwander et al. (2008) <doi:10.1002/sim.3230> and Neuenschwander et al. (2016) <doi:10.1080/19466315.2016.1174149> for details on the methodology.
Author: Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Lukas A. Widmer [aut], Andrew Bean [aut], Trustees of Columbia University [cph]
Maintainer: Sebastian Weber <sebastian.weber@novartis.com>

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Package fasterRaster updated to version 8.4.0.7 with previous version 8.4.0.5 dated 2025-02-25

Title: Faster Raster and Spatial Vector Processing Using 'GRASS GIS'
Description: Processing of large-in-memory/large-on disk rasters and spatial vectors using 'GRASS GIS' <https://grass.osgeo.org/>. Most functions in the 'terra' package are recreated. Processing of medium-sized and smaller spatial objects will nearly always be faster using 'terra' or 'sf', but for large-in-memory/large-on-disk objects, 'fasterRaster' may be faster. To use most of the functions, you must have the stand-alone version (not the 'OSGeoW4' installer version) of 'GRASS GIS' 8.0 or higher.
Author: Adam B. Smith [cre, aut]
Maintainer: Adam B. Smith <adam.smith@mobot.org>

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Package sae4health updated to version 1.2.2 with previous version 1.2.1 dated 2025-04-01

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>

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 data/DHS_api_est.rda        |binary
 data/indicator_list_all.rda |binary
 data/indicator_list_new.rda |binary
 data/match_all_result.rda   |binary
 14 files changed, 969 insertions(+), 305 deletions(-)

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New package trendeval with initial version 0.1.1
Package: trendeval
Title: Evaluate Trending Models
Version: 0.1.1
Description: Provides a coherent interface for evaluating models fit with the trending package. This package is part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis.
URL: https://github.com/reconverse/trendeval
BugReports: https://github.com/reconverse/trendeval/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: trending, yardstick, rsample, stats, tibble, utils
Suggests: testthat (>= 3.0.0), dplyr, outbreaks
NeedsCompilation: no
Packaged: 2025-04-25 09:15:45 UTC; thiba
Author: Dirk Schumacher [aut], Thibaut Jombart [aut, cre], Tim Taylor [ctb]
Maintainer: Thibaut Jombart <thibautjombart@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-25 15:20:02 UTC

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New package Rmoji with initial version 0.1.0
Package: Rmoji
Title: Interactively Insert Emojis in 'R' Documents
Version: 0.1.0
Maintainer: Berhe Etsay Tesfay <berhe.etsay@gmail.com>
Description: Provides an intuitive and user-friendly interface for working with emojis in 'R'. It allows users to search, insert, and manage emojis by keyword, category, or through an interactive 'shiny'-based drop-down. The package enables integration of emojis into 'R' scripts, 'R Markdown', 'Quarto', 'shiny' apps, and 'ggplot2' plots. Also includes built-in mappings for commit messages, useful for version control. It builds on established emoji libraries and Unicode standards, adding expressiveness and visual cues to documentation, user interfaces, and reports. For more details see 'Emojipedia' (2024) <https://emojipedia.org> and GitHub Emoji Cheat Sheet <https://github.com/ikatyang/emoji-cheat-sheet/tree/master>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.4)
Imports: rstudioapi, shiny, shinyjs
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), mockery, devtools
URL: https://github.com/3p1d3m/Rmoji
BugReports: https://github.com/3p1d3m/Rmoji/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-25 11:50:18 UTC; berhe
Author: Berhe Etsay Tesfay [aut, cre]
Repository: CRAN
Date/Publication: 2025-04-25 15:20:06 UTC

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New package PopComm with initial version 0.1.0.1
Package: PopComm
Title: Population-Level Cell-Cell Communication Analysis Tools
Version: 0.1.0.1
Description: Facilitates population-level analysis of ligand-receptor (LR) interactions using large-scale single-cell transcriptomic data. Identifies significant LR pairs and quantifies their interactions through correlation-based filtering and projection score computations. Designed for large-sample single-cell studies, the package employs statistical modeling, including linear regression, to investigate LR relationships between cell types. It provides a systematic framework for understanding cell-cell communication, uncovering regulatory interactions and signaling mechanisms. Offers tools for LR pair-level, sample-level, and differential interaction analyses, with comprehensive visualization support to aid biological interpretation. The methodology is described in a manuscript currently under review and will be referenced here once published or publicly available.
Depends: R (>= 4.1.0)
Imports: Seurat (>= 4.1.0), broom (>= 1.0.0), dplyr (>= 1.0.0), purrr (>= 0.3.0), rlang, stringr (>= 1.4.0), tibble (>= 3.0.0), tidyr (>= 1.0.0), tidyselect (>= 1.1.0), Matrix (>= 1.2-0), ggplot2 (>= 3.3.0), ggpubr (>= 0.6.0), pheatmap (>= 1.0.12), RColorBrewer, reshape2 (>= 1.4.1), scales (>= 1.1.1), igraph (>= 2.0.0), parallel, pbmcapply (>= 1.5.0), grDevices
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-04-25 09:12:42 UTC; gongz
Author: Zheng Gong [aut, cre] , Mengwei Li [aut, ctb]
Maintainer: Zheng Gong <gongzheng131@hotmail.com>
Repository: CRAN
Date/Publication: 2025-04-25 15:20:09 UTC

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Package Jcvrisk updated to version 0.1.2 with previous version 0.1.1 dated 2025-04-18

Title: Risk Calculator for Cardiovascular Disease in Japan
Description: A calculation tool to obtain the 10-year risk of cardiovascular disease from various risk models (Hisayama, Suita, EPOCH Japan).
Author: Hiroshi Okumiyama [aut, cre], Ryosuke Fujii [aut]
Maintainer: Hiroshi Okumiyama <xzxz2019@iCloud.com>

Diff between Jcvrisk versions 0.1.1 dated 2025-04-18 and 0.1.2 dated 2025-04-25

 DESCRIPTION        |    6 +++---
 MD5                |    8 ++++----
 NEWS.md            |    6 ++++++
 R/02_suita_wECG.R  |    2 +-
 R/03_suita_woECG.R |    2 +-
 5 files changed, 15 insertions(+), 9 deletions(-)

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New package cbsREPS with initial version 0.1.0
Package: cbsREPS
Title: Hedonic and Multilateral Index Methods for Real Estate Price Statistics
Version: 0.1.0
Maintainer: Vivek Gajadhar <v.gajadhar@cbs.nl>
Description: Compute price indices using various Hedonic and multilateral methods, including Laspeyres, Paasche, Fisher, and HMTS (Hedonic Multilateral Time series re-estimation with splicing). The central function calculate_price_index() offers a unified interface for running these methods on structured datasets. This package is designed to support index construction workflows for real estate and other domains where quality-adjusted price comparisons over time are essential. The development of this package was funded by Eurostat and Statistics Netherlands (CBS), and carried out by Statistics Netherlands. The HMTS method implemented here is described in Ishaak, Ouwehand and Remøy (2024) <doi:10.1177/0282423X241246617>. For broader methodological context, see Eurostat (2013, ISBN:978-92-79-25984-5, <doi:10.2785/34007>).
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.4.0)
Imports: dplyr, stats, assertthat, KFAS, stringr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-25 09:20:19 UTC; VGAR
Author: Farley Ishaak [aut], Pim Ouwehand [aut], David Pietersz [aut], Liu Nuo Su [aut], Cynthia Cao [aut], Mohammed Kardal [aut], Odens van der Zwan [aut], Vivek Gajadhar [aut, cre]
Repository: CRAN
Date/Publication: 2025-04-25 15:10:01 UTC

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New package wizaRdry with initial version 0.2.0
Package: wizaRdry
Title: A Magical Framework for Collaborative & Reproducible Data Analysis
Version: 0.2.0
Description: A comprehensive data analysis framework for NIH-funded research that streamlines workflows for both data cleaning and preparing NIH Data Archive ('NDA') submission templates. Provides unified access to multiple data sources ('REDCap', 'MongoDB', 'Qualtrics') through interfaces to their APIs, with specialized functions for data cleaning, filtering, merging, and parsing. Features automatic validation, field harmonization, and memory-aware processing to enhance reproducibility in multi-site collaborative research as described in Mittal et al. (2021) <doi:10.20900/jpbs.20210011>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: beepr, cli, config, dplyr, future, future.apply, haven, httr, jsonlite, knitr, mongolite, parallel, qualtRics, R6, REDCapR, rlang, stringdist, testthat, rstudioapi, lubridate
Depends: R (>= 4.1.0)
URL: https://github.com/belieflab/wizaRdry
BugReports: https://github.com/belieflab/wizaRdry/issues
Suggests: rmarkdown
NeedsCompilation: no
Packaged: 2025-04-24 23:14:28 UTC; Joshua
Author: Joshua G. Kenney [aut, cre], Trevor F. Williams [aut], Minerva K. Pappu [aut], Michael J. Spilka [aut], Danielle N. Pratt [ctb], Victor J. Pokorny [ctb], Santiago Castiello de Obeso [ctb], Praveen Suthaharan [ctb], Christian R. Horgan [ctb]
Maintainer: Joshua G. Kenney <joshua.kenney@yale.edu>
Repository: CRAN
Date/Publication: 2025-04-25 14:40:02 UTC

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New package miebl with initial version 0.1.0
Package: miebl
Title: Performance Criteria Modeler for Discrete Trial Training
Version: 0.1.0
Description: Provides a tool for computing probabilities and other quantities that are relevant in selecting performance criteria for discrete trial training. The main function, miebl(), computes Bayesian and frequentist probabilities and bounds for each of n possible performance criterion choices when attempting to determine a student's true mastery level by counting their number of successful attempts at displaying learning among n trials. The reporting function miebl_re() takes output from miebl() and prepares it into a brief report for a specific criterion. miebl_cp() combines 2 to 5 distributions of true mastery level given performance criterion in one plot for comparison. Ramos (2025) <doi:10.1007/s40617-025-01058-9>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2025-04-25 02:51:16 UTC; markr
Author: Mark Ramos [aut, cre, cph]
Imports: graphics, stats
Maintainer: Mark Ramos <mlr6219@psu.edu>
Repository: CRAN
Date/Publication: 2025-04-25 14:50:02 UTC

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Package metasnf updated to version 2.1.1 with previous version 2.0.6 dated 2025-03-25

Title: Meta Clustering with Similarity Network Fusion
Description: Framework to facilitate patient subtyping with similarity network fusion and meta clustering. The similarity network fusion (SNF) algorithm was introduced by Wang et al. (2014) in <doi:10.1038/nmeth.2810>. SNF is a data integration approach that can transform high-dimensional and diverse data types into a single similarity network suitable for clustering with minimal loss of information from each initial data source. The meta clustering approach was introduced by Caruana et al. (2006) in <doi:10.1109/ICDM.2006.103>. Meta clustering involves generating a wide range of cluster solutions by adjusting clustering hyperparameters, then clustering the solutions themselves into a manageable number of qualitatively similar solutions, and finally characterizing representative solutions to find ones that are best for the user's specific context. This package provides a framework to easily transform multi-modal data into a wide range of similarity network fusion-derived cluster solutio [...truncated...]
Author: Prashanth S Velayudhan [aut, cre], Xiaoqiao Xu [aut], Prajkta Kallurkar [aut], Ana Patricia Balbon [aut], Maria T Secara [aut], Adam Taback [aut], Denise Sabac [aut], Nicholas Chan [aut], Shihao Ma [aut], Bo Wang [aut], Daniel Felsky [aut], Stephanie [...truncated...]
Maintainer: Prashanth S Velayudhan <psvelayu@gmail.com>

Diff between metasnf versions 2.0.6 dated 2025-03-25 and 2.1.1 dated 2025-04-25

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Package GitStats updated to version 2.3.1 with previous version 2.3.0 dated 2025-04-03

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>

Diff between GitStats versions 2.3.0 dated 2025-04-03 and 2.3.1 dated 2025-04-25

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Package GeoModels updated to version 2.1.2 with previous version 2.1.1 dated 2025-04-13

Title: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis
Description: Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) (fast) simulation of random fields, b) inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Flexible covariance models for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. Se [...truncated...]
Author: Moreno Bevilacqua [aut, cre, cph], Victor Morales-Onate [ctb], Francisco Cuevas-Pacheco [ctb], Christian Caamano-Carrillo [ctb]
Maintainer: Moreno Bevilacqua <moreno.bevilacqua89@gmail.com>

Diff between GeoModels versions 2.1.1 dated 2025-04-13 and 2.1.2 dated 2025-04-25

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New package connector with initial version 0.1.0
Package: connector
Title: Streamlining Data Access in Clinical Research
Version: 0.1.0
Description: Provides a consistent interface for connecting R to various data sources including file systems and databases. Designed for clinical research, 'connector' streamlines access to 'ADAM', 'SDTM' for example. It helps to deal with multiple data formats through a standardized API and centralized configuration.
License: Apache License (>= 2)
URL: https://github.com/novonordisk-opensource/connector/, https://github.com/NovoNordisk-OpenSource/connector
BugReports: https://github.com/NovoNordisk-OpenSource/connector/issues
Depends: R (>= 4.1)
Imports: arrow, checkmate, cli, DBI, dplyr, fs, glue, haven, jsonlite, purrr, R6 (>= 2.4.0), readr, readxl, rlang, utils, vroom, writexl, yaml, zephyr (>= 0.1.1)
Suggests: dbplyr, ggplot2, knitr, rmarkdown, RPostgres, RSQLite, spelling, testthat (>= 3.0.0), tibble, whirl (>= 0.2.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-04-25 06:21:24 UTC; cgid
Author: Cervan Girard [aut, cre], Aksel Thomsen [aut], Vladimir Obucina [aut], Novo Nordisk A/S [cph]
Maintainer: Cervan Girard <cgid@novonordisk.com>
Repository: CRAN
Date/Publication: 2025-04-25 15:00:02 UTC

More information about connector at CRAN
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Package ncappc updated to version 1.0.0 with previous version 0.3.0 dated 2018-08-24

Title: NCA Calculations and Population Model Diagnosis
Description: A flexible tool that can perform (i) traditional non-compartmental analysis (NCA) and (ii) Simulation-based posterior predictive checks for population pharmacokinetic (PK) and/or pharmacodynamic (PKPD) models using NCA metrics. The methods are described in Acharya et al. (2016) <doi:10.1016/j.cmpb.2016.01.013>.
Author: Chayan Acharya [aut], Gulbeyaz Y. Turkyilmaz [aut], Siv Jonsson [aut], Mats O. Karlsson [aut], Andrew C. Hooker [aut, cre]
Maintainer: Andrew C. Hooker <andrew.hooker@uu.se>

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Package artma updated to version 0.2.1 with previous version 0.1.19 dated 2025-04-12

Title: Automatic Replication Tools for Meta-Analysis
Description: Provides a unified and straightforward interface for performing a variety of meta-analysis methods directly from user data. Users can input a data frame, specify key parameters, and effortlessly execute and compare multiple common meta-analytic models. Designed for immediate usability, the package facilitates transparent, reproducible research without manual implementation of each analytical method. Ideal for researchers aiming for efficiency and reproducibility, it streamlines workflows from data preparation to results interpretation.
Author: Petr ÄŒala [aut, cre]
Maintainer: Petr ÄŒala <61505008@fsv.cuni.cz>

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Package WaverideR updated to version 0.4.0 with previous version 0.3.2 dated 2023-09-06

Title: Extracting Signals from Wavelet Spectra
Description: The continuous wavelet transform enables the observation of transient/non-stationary cyclicity in time-series. The goal of cyclostratigraphic studies is to define frequency/period in the depth/time domain. By conducting the continuous wavelet transform on cyclostratigraphic data series one can observe and extract cyclic signals/signatures from signals. These results can then be visualized and interpreted enabling one to identify/interpret cyclicity in the geological record, which can be used to construct astrochronological age-models and identify and interpret cyclicity in past and present climate systems. The 'WaverideR' R package builds upon existing literature and existing codebase. The list of articles which are relevant can be grouped in four subjects; cyclostratigraphic data analysis,example data sets,the (continuous) wavelet transform and astronomical solutions. References for the cyclostratigraphic data analysis articles are: Stephen Meyers (2019) <doi:10.1016/j.earscirev.20 [...truncated...]
Author: Michiel Arts [aut, cre]
Maintainer: Michiel Arts <michiel.arts@stratigraphy.eu>

Diff between WaverideR versions 0.3.2 dated 2023-09-06 and 0.4.0 dated 2025-04-25

 DESCRIPTION                              |   18 
 MD5                                      |  132 +--
 NAMESPACE                                |   17 
 NEWS.md                                  |   10 
 R/Hilbert_transform.R                    |    4 
 R/WaverideR.R                            |    3 
 R/WaverideR_Datasets.R                   |   18 
 R/add_wavelet.R                          |   35 
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 R/anchor2time.R                          |   54 +
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New package tlda with initial version 0.1.0
Package: tlda
Title: Tools for Language Data Analysis
Version: 0.1.0
Description: Support functions and datasets to facilitate the analysis of linguistic data. The current focus is on the calculation of corpus-linguistic dispersion measures as described in Gries (2021) <doi:10.1007/978-3-030-46216-1_5> and Soenning (2025) <doi:10.3366/cor.2025.0326>. The most commonly used parts-based indices are implemented, including different formulas and modifications that are found in the literature, with the additional option to obtain frequency-adjusted scores. Dispersion scores can be computed based on individual count variables or a term-document matrix.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
LazyData: true
URL: https://github.com/lsoenning/tlda
BugReports: https://github.com/lsoenning/tlda/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-24 19:55:00 UTC; ba4rh5
Author: Lukas Soenning [aut, cre, cph] , German Research Foundation [fnd]
Maintainer: Lukas Soenning <lukas.soenning@uni-bamberg.de>
Repository: CRAN
Date/Publication: 2025-04-25 12:40:01 UTC

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Package proxyC updated to version 0.5.2 with previous version 0.5.1 dated 2025-04-24

Title: Computes Proximity in Large Sparse Matrices
Description: Computes proximity between rows or columns of large matrices efficiently in C++. Functions are optimised for large sparse matrices using the Armadillo and Intel TBB libraries. Among various built-in similarity/distance measures, computation of correlation, cosine similarity, Dice coefficient and Euclidean distance is particularly fast.
Author: Kohei Watanabe [cre, aut, cph] , Robrecht Cannoodt [aut]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

Diff between proxyC versions 0.5.1 dated 2025-04-24 and 0.5.2 dated 2025-04-25

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 MD5                             |   10 +++++-----
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 6 files changed, 18 insertions(+), 12 deletions(-)

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Package mMARCH.AC updated to version 3.2.0.1 with previous version 3.2.0.0 dated 2025-04-23

Title: Processing of Accelerometry Data with 'GGIR' in mMARCH
Description: Mobile Motor Activity Research Consortium for Health (mMARCH) is a collaborative network of studies of clinical and community samples that employ common clinical, biological, and digital mobile measures across involved studies. One of the main scientific goals of mMARCH sites is developing a better understanding of the inter-relationships between accelerometry-measured physical activity (PA), sleep (SL), and circadian rhythmicity (CR) and mental and physical health in children, adolescents, and adults. Currently, there is no consensus on a standard procedure for a data processing pipeline of raw accelerometry data, and few open-source tools to facilitate their development. The R package 'GGIR' is the most prominent open-source software package that offers great functionality and tremendous user flexibility to process raw accelerometry data. However, even with 'GGIR', processing done in a harmonized and reproducible fashion requires a non-trivial amount of expertise combined with a care [...truncated...]
Author: Wei Guo [aut, cre], Andrew Leroux [aut], Vadim Zipunnikov [aut], Kathleen Merikangas [aut]
Maintainer: Wei Guo <wei.guo3@nih.gov>

Diff between mMARCH.AC versions 3.2.0.0 dated 2025-04-23 and 3.2.0.1 dated 2025-04-25

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New package IssueTrackeR with initial version 1.1.1
Package: IssueTrackeR
Title: List Things to Do
Version: 1.1.1
Description: Manage a 'GitHub' problem using R: wrangle issues, labels and milestones. It includes functions for storing, prioritizing (sorting), displaying, adding, deleting, and selecting (filtering) issues based on qualitative and quantitative information. Issues (labels and milestones) are written in lists and categorized into the S3 class to be easily manipulated as datasets in R.
License: MIT + file LICENSE
URL: https://github.com/TanguyBarthelemy/IssueTrackeR, https://tanguybarthelemy.github.io/IssueTrackeR/
BugReports: https://github.com/TanguyBarthelemy/IssueTrackeR/issues
Depends: R (>= 4.1)
Imports: crayon, gh, tools, yaml
Suggests: cli, rlang, spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2025-04-24 11:11:04 UTC; UTZK0M
Author: Tanguy Barthelemy [aut, cre]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>
Repository: CRAN
Date/Publication: 2025-04-25 12:30:14 UTC

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Package frscore updated to version 0.5.1 with previous version 0.5.0 dated 2025-04-24

Title: Functions for Calculating Fit-Robustness of CNA-Solutions
Description: Functions for automatically performing a reanalysis series on a data set using CNA, and for calculating the fit-robustness of the resulting models, as described in Parkkinen and Baumgartner (2021) <doi:10.1177/0049124120986200>.
Author: Veli-Pekka Parkkinen [aut, cre, cph], Michael Baumgartner [aut, cph], Mathias Ambuehl [aut, cph]
Maintainer: Veli-Pekka Parkkinen <parkkinenv@gmail.com>

Diff between frscore versions 0.5.0 dated 2025-04-24 and 0.5.1 dated 2025-04-25

 DESCRIPTION |    6 +++---
 MD5         |    4 ++--
 NEWS.md     |    2 +-
 3 files changed, 6 insertions(+), 6 deletions(-)

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New package fmds with initial version 0.1.2
Package: fmds
Title: Multidimensional Scaling Development Kit
Version: 0.1.2
Author: Frank M.T.A. Busing [aut, cre] , Juan Claramunt Gonzalez [aut, com]
Maintainer: Frank M.T.A. Busing <busing@fsw.leidenuniv.nl>
Description: Multidimensional scaling (MDS) functions for various tasks that are beyond the beta stage and way past the alpha stage. Currently, options are available for weights, restrictions, classical scaling or principal coordinate analysis, transformations (linear, power, Box-Cox, spline, ordinal), outlier mitigation (rdop), out-of-sample estimation (predict), negative dissimilarities, fast and faster executions with low memory footprints, penalized restrictions, cross-validation-based penalty selection, supplementary variable estimation (explain), additive constant estimation, mixed measurement level distance calculation, restricted classical scaling, etc. More will come in the future. References. Busing (2024) "A Simple Population Size Estimator for Local Minima Applied to Multidimensional Scaling". Manuscript submitted for publication. Busing (2025) "Node Localization by Multidimensional Scaling with Iterative Majorization". Manuscript submitted for publication. Busing (2025) "Faster Multidi [...truncated...]
Depends: R (>= 3.5.0)
Imports: graphics, stats
Suggests: ggplot2, microbenchmark
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2025-04-24 10:19:19 UTC; prueba
Repository: CRAN
Date/Publication: 2025-04-25 12:20:02 UTC

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New package fastymd with initial version 0.1.2
Package: fastymd
Title: Fast Utilities for 'Year Month Day' Objects
Version: 0.1.2
Description: A collection of utility functions for working with Year Month Day objects. Includes functions for fast parsing of numeric and character input based on algorithms described in Hinnant, H. (2021) <https://howardhinnant.github.io/date_algorithms.html> as well as a branchless calculation of leap years by Jerichaux (2025) <https://stackoverflow.com/a/79564914>.
License: GPL-3
URL: https://timtaylor.codeberg.page/fastymd/
BugReports: https://codeberg.org/TimTaylor/fastymd/issues
Encoding: UTF-8
Suggests: fasttime, lubridate, microbenchmark, tinytest, ymd, litedown
Depends: R (>= 4.2.0)
VignetteBuilder: litedown
NeedsCompilation: yes
Packaged: 2025-04-24 21:51:32 UTC; tim
Author: Tim Taylor [aut, cre] , Howard Hinnant [aut] , jerichaux [aut]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>
Repository: CRAN
Date/Publication: 2025-04-25 12:50:02 UTC

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New package FastHamming with initial version 1.1
Package: FastHamming
Title: Fast Computation of Pairwise Hamming Distances
Version: 1.1
Depends: R (>= 4.0.0)
Description: Pairwise Hamming distances are computed between the rows of a binary (0/1) matrix using highly optimized C code. The input is an integer matrix where each row represents a binary feature vector and returns a symmetric integer matrix of pairwise distances. Internally, rows are bit-packed into 64-bit words for fast XOR-based comparisons, with hardware-accelerated popcount operations to count differences. OpenMP parallelization ensures efficient performance for large matrices.
License: GPL-3
Encoding: UTF-8
SystemRequirements: C compiler (C99), OpenMP
NeedsCompilation: yes
Packaged: 2025-04-24 14:04:52 UTC; raviv
Author: Ravi Varadhan [aut, cre]
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>
Repository: CRAN
Date/Publication: 2025-04-25 12:30:18 UTC

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Package dlmtree updated to version 1.1.0 with previous version 1.0.0 dated 2024-05-31

Title: Bayesian Treed Distributed Lag Models
Description: Estimation of distributed lag models (DLMs) based on a Bayesian additive regression trees framework. Includes several extensions of DLMs: treed DLMs and distributed lag mixture models (Mork and Wilson, 2023) <doi:10.1111/biom.13568>; treed distributed lag nonlinear models (Mork and Wilson, 2022) <doi:10.1093/biostatistics/kxaa051>; heterogeneous DLMs (Mork, et. al., 2024) <doi:10.1080/01621459.2023.2258595>; monotone DLMs (Mork and Wilson, 2024) <doi:10.1214/23-BA1412>. The package also includes visualization tools and a 'shiny' interface to check model convergence and to help interpret results.
Author: Daniel Mork [aut, cre, cph] , Seongwon Im [aut] , Ander Wilson [aut]
Maintainer: Daniel Mork <dmork@hsph.harvard.edu>

Diff between dlmtree versions 1.0.0 dated 2024-05-31 and 1.1.0 dated 2025-04-25

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 dlmtree-1.1.0/dlmtree/README.md                       |   12 
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 96 files changed, 1314 insertions(+), 1637 deletions(-)

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New package configulaR with initial version 0.1.1
Package: configulaR
Title: Manage Application Settings via '.env' or '.ini' Files
Version: 0.1.1
Description: Provides a simple way to manage application settings by loading configuration values from '.env' or '.ini' files. It supports default values, type casting, and environment variable overrides, enabling a clean separation of configuration from code. Ideal for managing credentials, API keys, and deployment-specific settings.
License: MIT + file LICENSE
URL: https://dataupsurge.github.io/configulaR/, https://github.com/dataupsurge/configulaR
BugReports: https://github.com/dataupsurge/configulaR/issues
Imports: assertthat, here, magrittr, stringr
Suggests: covr (>= 3.6.4), docopt (>= 0.7.1), git2r (>= 0.35.0), lintr (>= 3.1.2), precommit (>= 0.4.3), roxygen2 (>= 7.3.2), styler (>= 1.10.3), testthat (>= 3.0.0), withr (>= 2.1.2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-04-18 08:50:43 UTC; morgan
Author: Morgan Durand [aut, cre, cph]
Maintainer: Morgan Durand <morgan@dataupsurge.com>
Repository: CRAN
Date/Publication: 2025-04-25 12:10:02 UTC

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New package branchingprocess with initial version 0.1.0
Package: branchingprocess
Title: Calculate Outbreak Probabilities for a Branching Process Model
Version: 0.1.0
Description: Quantify outbreak risk posed by individual importers of a transmissible pathogen. Input parameters of negative binomial offspring distributions for the number of transmissions from each infected individual and initial number of infected. Calculate probabilities of final outbreak size and generations of transmission, as described in Toth et al. (2015) <doi:10.3201/eid2108.150170> and Toth et al. (2016) <doi:10.1016/j.epidem.2016.04.002>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/EpiForeSITE/branchingprocess, https://epiforesite.github.io/branchingprocess/
BugReports: https://github.com/EpiForeSITE/branchingprocess/issues
Imports: stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-24 20:50:24 UTC; runner
Author: Damon Toth [aut, cre] , Erin Clancey [ctb] , Centers for Disease Control and Prevention's Center for Forecasting and Outbreak Analytics [fnd]
Maintainer: Damon Toth <damon.toth@hsc.utah.edu>
Repository: CRAN
Date/Publication: 2025-04-25 12:50:05 UTC

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New package arcgis with initial version 0.2.0
Package: arcgis
Title: ArcGIS Location Services Meta-Package
Version: 0.2.0
Description: Provides easy installation and loading of core ArcGIS location services packages 'arcgislayers', 'arcgisutils', 'arcgisgeocode', and 'arcgisplaces'. Enabling developers to interact with spatial data and services from 'ArcGIS Online', 'ArcGIS Enterprise', and 'ArcGIS Platform'. Learn more about the 'arcgis' meta-package at <https://developers.arcgis.com/r-bridge/>.
Language: en
License: Apache License (>= 2)
Encoding: UTF-8
Imports: arcgisgeocode (>= 0.1.0), arcgislayers (>= 0.2.0), arcgisplaces (>= 0.1.0), arcgisutils (>= 0.3.0), cli, httr2 (>= 1.0.0), utils
Suggests: arcpbf, calcite, testthat (>= 3.0.0)
URL: https://github.com/R-ArcGIS/arcgis/, https://developers.arcgis.com/r-bridge/
SystemRequirements: Cargo (Rust's package manager), rustc
NeedsCompilation: no
Packaged: 2025-04-23 20:02:10 UTC; josiahparry
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-25 12:10:05 UTC

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Package readstata13 updated to version 0.11.0 with previous version 0.10.1 dated 2023-02-21

Title: Import 'Stata' Data Files
Description: Function to read and write the 'Stata' file format.
Author: Jan Marvin Garbuszus [aut], Sebastian Jeworutzki [aut, cre] , R Core Team [cph], Magnus Thor Torfason [ctb], Luke M. Olson [ctb], Giovanni Righi [ctb], Kevin Jin [ctb]
Maintainer: Sebastian Jeworutzki <Sebastian.Jeworutzki@ruhr-uni-bochum.de>

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Package rbacon updated to version 3.4.1 with previous version 3.3.1 dated 2024-09-28

Title: Age-Depth Modelling using Bayesian Statistics
Description: An approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for deposits, through combining radiocarbon and other dates with prior information on accumulation rates and their variability. See Blaauw & Christen (2011).
Author: Maarten Blaauw [aut, cre] , J. Andres Christen [aut, ctb, cph] , Marco A. Aquino Lopez [aut] , Judith Esquivel Vazquez [ctb], Oscar M. Gonzalez V. [ctb], Ted Belding [cph], James Theiler [cph], Brian Gough [cph], Charles Karney [cph]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package GGIR updated to version 3.2-6 with previous version 3.2-0 dated 2025-02-20

Title: Raw Accelerometer Data Analysis
Description: A tool to process and analyse data collected with wearable raw acceleration sensors as described in Migueles and colleagues (JMPB 2019), and van Hees and colleagues (JApplPhysiol 2014; PLoSONE 2015). The package has been developed and tested for binary data from 'GENEActiv' <https://activinsights.com/>, binary (.gt3x) and .csv-export data from 'Actigraph' <https://theactigraph.com> devices, and binary (.cwa) and .csv-export data from 'Axivity' <https://axivity.com>. These devices are currently widely used in research on human daily physical activity. Further, the package can handle accelerometer data file from any other sensor brand providing that the data is stored in csv format. Also the package allows for external function embedding.
Author: Vincent T van Hees [aut, cre], Jairo H Migueles [aut] , Severine Sabia [ctb], Matthew R Patterson [ctb], Zhou Fang [ctb], Joe Heywood [ctb], Joan Capdevila Pujol [ctb], Lena Kushleyeva [ctb], Mathilde Chen [ctb], Manasa Yerramalla [ctb], Patrick Bos [...truncated...]
Maintainer: Vincent T van Hees <v.vanhees@accelting.com>

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Package BioMark (with last version 0.4.5) was removed from CRAN

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

2015-09-07 0.4.5
2014-08-06 0.4.2
2012-11-06 0.4.1
2012-07-10 0.4.0
2011-11-29 0.3.3
2011-10-20 0.3.2
2011-09-19 0.3.1
2011-07-06 0.3.0
2011-02-08 0.2.6

Permanent link
Package ukbtools (with last version 0.11.3) was removed from CRAN

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

2019-05-15 0.11.3
2019-04-25 0.11.2
2019-03-14 0.11.1
2018-05-23 0.11.0
2018-02-05 0.10.1
2017-11-27 0.10.0
2017-06-30 0.9.0

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Package trtswitch updated to version 0.1.6 with previous version 0.1.5 dated 2025-04-23

Title: Treatment Switching
Description: Implements rank-preserving structural failure time model (RPSFTM), iterative parameter estimation (IPE), inverse probability of censoring weights (IPCW), and two-stage estimation (TSE) methods for treatment switching in randomized clinical trials.
Author: Kaifeng Lu [aut, cre]
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>

Diff between trtswitch versions 0.1.5 dated 2025-04-23 and 0.1.6 dated 2025-04-25

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Package jstable updated to version 1.3.12 with previous version 1.3.11 dated 2025-04-04

Title: Create Tables from Different Types of Regression
Description: Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd], Yoonkyoung Jeon [aut], Jaehun Shon [aut], Hyojong Myung [aut], Hyungwoo Jo [aut], Sungho Choi [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package IRISSeismic updated to version 1.7.0 with previous version 1.6.7 dated 2024-12-10

Title: Classes and Methods for Seismic Data Analysis
Description: Provides classes and methods for seismic data analysis. The base classes and methods are inspired by the python code found in the 'ObsPy' python toolbox <https://github.com/obspy/obspy>. Additional classes and methods support data returned by web services provided by the 'IRIS DMC' <http://service.iris.edu/>.
Author: Jonathan Callahan [aut], Rob Casey [aut], Gillian Sharer [aut, cre], Mary Templeton [aut], Chad Trabant [ctb]
Maintainer: Gillian Sharer <gillian.sharer@earthscope.org>

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Package crossmap updated to version 0.4.2 with previous version 0.4.1 dated 2025-04-21

Title: Apply Functions to All Combinations of List Elements
Description: Provides an extension to the 'purrr' family of mapping functions to apply a function to each combination of elements in a list of inputs. Also includes functions for automatically detecting output type in mapping functions, finding every combination of elements of lists or rows of data frames, and applying multiple models to multiple subsets of a dataset.
Author: Alexander Rossell Hayes [aut, cre, cph]
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>

Diff between crossmap versions 0.4.1 dated 2025-04-21 and 0.4.2 dated 2025-04-25

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Package ao updated to version 1.2.0 with previous version 1.1.0 dated 2024-07-13

Title: Alternating Optimization
Description: An iterative process that optimizes a function by alternately performing restricted optimization over parameter subsets. Instead of joint optimization, it breaks the optimization problem down into simpler sub-problems. This approach can make optimization feasible when joint optimization is too difficult.
Author: Lennart Oelschlaeger [aut, cre] , Siddhartha Chib [ctb]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

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Package openxlsx2 updated to version 1.15 with previous version 1.14 dated 2025-03-20

Title: Read, Write and Edit 'xlsx' Files
Description: Simplifies the creation of 'xlsx' files by providing a high level interface to writing, styling and editing worksheets.
Author: Jordan Mark Barbone [aut] , Jan Marvin Garbuszus [aut, cre], Olivier Roy [ctb], openxlsx authors [cph] , Arseny Kapoulkine [ctb, cph]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>

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Package jsmodule updated to version 1.6.8 with previous version 1.6.4 dated 2025-03-10

Title: 'RStudio' Addins and 'Shiny' Modules for Medical Research
Description: 'RStudio' addins and 'Shiny' modules for descriptive statistics, regression and survival analysis.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd], Hyunki Lee [aut], Changwoo Lim [aut], Jinhwan Kim [aut] , Yoonkyoung Jeon [aut], Jaewoong Heo [aut], Youngsun Park [aut] , Hyungwoo Jo [aut], Jeongmin Seo [aut], Hojun LEE [aut], Sungho Choi [aut], Yeji Ka [...truncated...]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package ForIT updated to version 2.5.0 with previous version 2.4.0 dated 2023-09-26

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

Diff between ForIT versions 2.4.0 dated 2023-09-26 and 2.5.0 dated 2025-04-25

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Package fastcpd updated to version 0.16.2 with previous version 0.16.1 dated 2025-03-20

Title: Fast Change Point Detection via Sequential Gradient Descent
Description: Implements fast change point detection algorithm based on the paper "Sequential Gradient Descent and Quasi-Newton's Method for Change-Point Analysis" by Xianyang Zhang, Trisha Dawn <https://proceedings.mlr.press/v206/zhang23b.html>. The algorithm is based on dynamic programming with pruning and sequential gradient descent. It is able to detect change points a magnitude faster than the vanilla Pruned Exact Linear Time(PELT). The package includes examples of linear regression, logistic regression, Poisson regression, penalized linear regression data, and whole lot more examples with custom cost function in case the user wants to use their own cost function.
Author: Xingchi Li [aut, cre, cph] , Xianyang Zhang [aut, cph]
Maintainer: Xingchi Li <anthony.li.stat.tamu.edu@lixingchi.com>

Diff between fastcpd versions 0.16.1 dated 2025-03-20 and 0.16.2 dated 2025-04-25

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