Tue, 04 Feb 2025

Package QuadratiK updated to version 1.1.3 with previous version 1.1.2 dated 2024-10-29

Title: Collection of Methods Constructed using Kernel-Based Quadratic Distances
Description: It includes test for multivariate normality, test for uniformity on the d-dimensional Sphere, non-parametric two- and k-sample tests, random generation of points from the Poisson kernel-based density and clustering algorithm for spherical data. For more information see Saraceno G., Markatou M., Mukhopadhyay R. and Golzy M. (2024) <doi:10.48550/arXiv.2402.02290> Markatou, M. and Saraceno, G. (2024) <doi:10.48550/arXiv.2407.16374>, Ding, Y., Markatou, M. and Saraceno, G. (2023) <doi:10.5705/ss.202022.0347>, and Golzy, M. and Markatou, M. (2020) <doi:10.1080/10618600.2020.1740713>.
Author: Giovanni Saraceno [aut, cre] , Marianthi Markatou [aut], Raktim Mukhopadhyay [aut], Mojgan Golzy [aut], Hingee Kassel [rev], Emi Tanaka [rev]
Maintainer: Giovanni Saraceno <giovanni.saraceno@unipd.it>

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More information about QuadratiK at CRAN
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Package metasnf updated to version 2.0.0 with previous version 1.1.1 dated 2024-11-08

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>

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More information about metasnf at CRAN
Permanent link

Package FIESTA updated to version 3.7.0 with previous version 3.6.4 dated 2024-06-07

Title: Forest Inventory Estimation and Analysis
Description: A research estimation tool for analysts that work with sample-based inventory data from the U.S. Department of Agriculture, Forest Service, Forest Inventory and Analysis (FIA) Program.
Author: Tracey Frescino [aut], Gretchen Moisen [aut], Paul Patterson [aut], Chris Toney [aut], Grayson White [aut, cre] , Joshua Yamamoto [aut]
Maintainer: Grayson White <graysonwhite13@gmail.com>

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Package irboost updated to version 0.2-1.0 with previous version 0.1-1.5 dated 2024-04-18

Title: Iteratively Reweighted Boosting for Robust Analysis
Description: Fit a predictive model using iteratively reweighted boosting (IRBoost) to minimize robust loss functions within the CC-family (concave-convex). This constitutes an application of iteratively reweighted convex optimization (IRCO), where convex optimization is performed using the functional descent boosting algorithm. IRBoost assigns weights to facilitate outlier identification. Applications include robust generalized linear models and robust accelerated failure time models. Wang (2025) <doi:10.6339/24-JDS1138>.
Author: Zhu Wang [aut, cre]
Maintainer: Zhu Wang <zhuwang@gmail.com>

Diff between irboost versions 0.1-1.5 dated 2024-04-18 and 0.2-1.0 dated 2025-02-04

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Package SSBtools updated to version 1.7.0 with previous version 1.6.0 dated 2024-12-04

Title: Statistics Norway's Miscellaneous Tools
Description: Functions used by other packages from Statistics Norway are gathered. General data manipulation functions, algorithms for statistical disclosure control (Langsrud, 2024) <doi:10.1007/978-3-031-69651-0_6> and functions for hierarchical computations by sparse model matrices are included (Langsrud, 2023) <doi:10.32614/RJ-2023-088>.
Author: Oeyvind Langsrud [aut, cre] , Daniel Lupp [aut] , Bjoern-Helge Mevik [ctb], Vidar Norstein Klungre [rev] , Statistics Norway [cph]
Maintainer: Oeyvind Langsrud <oyl@ssb.no>

Diff between SSBtools versions 1.6.0 dated 2024-12-04 and 1.7.0 dated 2025-02-04

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New package SQLFormatteR with initial version 0.0.1
Package: SQLFormatteR
Title: Format SQL Queries
Version: 0.0.1
Description: A convenient interface for formatting 'SQL' queries directly within 'R'. It acts as a wrapper around the 'sql_format' Rust crate. The package allows you to format 'SQL' code with customizable options, including indentation, case formatting, and more, ensuring your 'SQL' queries are clean, readable, and consistent.
License: MIT + file LICENSE
URL: https://dataupsurge.github.io/SQLFormatteR/, https://github.com/dataupsurge/SQLFormatteR
BugReports: https://github.com/dataupsurge/SQLFormatteR/issues
Imports: assertthat
Suggests: covr (>= 3.6.4), docopt (>= 0.7.1), git2r (>= 0.35.0), jsonlite (>= 1.8.9), lintr (>= 3.1.2), optparse (>= 1.7.5), precommit (>= 0.4.3), rextendr (>= 0.3.1), roxygen2 (>= 7.3.2), styler (>= 1.10.3), testthat (>= 3.0.0)
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.65.0
NeedsCompilation: yes
Packaged: 2025-02-04 11:11:05 UTC; morgan
Author: Morgan Durand [aut, cre, cph], Authors of the dependent Rust crates [aut]
Maintainer: Morgan Durand <morgan@dataupsurge.com>
Repository: CRAN
Date/Publication: 2025-02-04 17:40:15 UTC

More information about SQLFormatteR at CRAN
Permanent link

New package shiny2docker with initial version 0.0.1
Package: shiny2docker
Title: Generate Dockerfiles for 'Shiny' Applications
Version: 0.0.1
Description: Automates the creation of Dockerfiles for deploying 'Shiny' applications. By integrating with 'renv' for dependency management and leveraging Docker-based solutions, it simplifies the process of containerizing 'Shiny' apps, ensuring reproducibility and consistency across different environments.
License: MIT + file LICENSE
Imports: attachment (>= 0.4.3), dockerfiler, here, yesno
Encoding: UTF-8
URL: https://github.com/VincentGuyader/shiny2docker
BugReports: https://github.com/VincentGuyader/shiny2docker/issues
Suggests: shiny, renv, testthat (>= 3.0.0), knitr, rmarkdown, rstudioapi
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-02-04 10:29:45 UTC; PC
Author: Vincent Guyader [aut, cre]
Maintainer: Vincent Guyader <vincent@thinkr.fr>
Repository: CRAN
Date/Publication: 2025-02-04 17:40:02 UTC

More information about shiny2docker at CRAN
Permanent link

New package rmcmc with initial version 0.1.1
Package: rmcmc
Title: Robust Markov Chain Monte Carlo Methods
Version: 0.1.1
Description: Functions for simulating Markov chains using the Barker proposal to compute Markov chain Monte Carlo (MCMC) estimates of expectations with respect to a target distribution on a real-valued vector space. The Barker proposal, described in Livingstone and Zanella (2022) <doi:10.1111/rssb.12482>, is a gradient-based MCMC algorithm inspired by the Barker accept-reject rule. It combines the robustness of simpler MCMC schemes, such as random-walk Metropolis, with the efficiency of gradient-based methods, such as the Metropolis adjusted Langevin algorithm. The key function provided by the package is sample_chain(), which allows sampling a Markov chain with a specified target distribution as its stationary distribution. The chain is sampled by generating proposals and accepting or rejecting them using a Metropolis-Hasting acceptance rule. During an initial warm-up stage, the parameters of the proposal distribution can be adapted, with adapters available to both: tune the scale of the prop [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: bridgestan (>= 2.5.0), knitr, posterior, progress, ramcmc, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/UCL/rmcmc, http://github-pages.ucl.ac.uk/rmcmc/
BugReports: https://github.com/UCL/rmcmc/issues
Imports: Matrix, rlang, withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-02-04 16:29:30 UTC; matt
Author: Matthew M. Graham [aut, cre] , Samuel Livingstone [aut] , University College London [cph], Engineering and Physical Sciences Research Council [fnd]
Maintainer: Matthew M. Graham <m.graham@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2025-02-04 17:50:02 UTC

More information about rmcmc at CRAN
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New package MOsemiind with initial version 0.1.0
Package: MOsemiind
Title: Marshall-Olkin Shock Models with Semi-Independent Time
Version: 0.1.0
Description: Provides tools for analyzing Marshall-Olkin shock models semi-independent time. It includes interactive 'shiny' applications for exploring copula-based dependence structures, along with functions for modeling and visualization. The methods are based on Mijanovic and Popovic (2024, submitted) "An R package for Marshall-Olkin shock models with semi-independent times."
License: MIT + file LICENSE
Encoding: UTF-8
Imports: copula, graphics, pracma, shiny, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-02-04 09:36:17 UTC; Andjela
Author: Andjela Mijanovic [aut, cre], Bozidar Popovic [aut]
Maintainer: Andjela Mijanovic <andjela.m@ucg.ac.me>
Repository: CRAN
Date/Publication: 2025-02-04 17:30:02 UTC

More information about MOsemiind at CRAN
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New package kpiwidget with initial version 0.1.0
Package: kpiwidget
Title: KPI Widgets for Quarto Dashboards with Crosstalk
Version: 0.1.0
Description: Provides an easy way to create interactive KPI (key performance indicator) widgets for 'Quarto' dashboards using 'Crosstalk'. The package enables visualization of key metrics in a structured format, supporting interactive filtering and linking with other 'Crosstalk'-enabled components. Designed for use in 'Quarto' Dashboards.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: crosstalk, htmlwidgets
Suggests: dplyr, flexdashboard, htmltools, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://arnold-kakas.github.io/kpiwidget/, https://github.com/Arnold-Kakas/kpiwidget
BugReports: https://github.com/Arnold-Kakas/kpiwidget/issues
NeedsCompilation: no
Packaged: 2025-02-04 16:40:27 UTC; Arnold
Author: Arnold Kakas [aut, cre, cph]
Maintainer: Arnold Kakas <kakasarnold@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-04 17:50:07 UTC

More information about kpiwidget at CRAN
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Package gmoTree updated to version 1.4.0 with previous version 1.3.0 dated 2024-12-06

Title: Get and Modify 'oTree' Data
Description: Efficiently manage and process data from 'oTree' experiments. Import 'oTree' data and clean them by using functions that handle messy data, dropouts, and other problematic cases. Create IDs, calculate the time, transfer variables between app data frames, and delete sensitive information. Review your experimental data prior to running the experiment and automatically generate a detailed summary of the variables used in your 'oTree' code. Information on 'oTree' is found in Chen, D. L., Schonger, M., & Wickens, C. (2016) <doi:10.1016/j.jbef.2015.12.001>.
Author: Patricia F. Zauchner [aut, trl, cre, cph]
Maintainer: Patricia F. Zauchner <patricia.zauchner@gmx.at>

Diff between gmoTree versions 1.3.0 dated 2024-12-06 and 1.4.0 dated 2025-02-04

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 gmoTree-1.4.0/gmoTree/R/make_ids.R                                                                 |   76 
 gmoTree-1.4.0/gmoTree/R/messy_chat.R                                                               |    3 
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 gmoTree-1.4.0/gmoTree/R/pagesec.R                                                                  |    7 
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 gmoTree-1.4.0/gmoTree/R/show_dropouts.R                                                            |   12 
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 gmoTree-1.4.0/gmoTree/inst/CITATION                                                                |    4 
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 gmoTree-1.4.0/gmoTree/man/extime.Rd                                                                |   38 
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 gmoTree-1.4.0/gmoTree/man/make_ids.Rd                                                              |   15 
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Package ggbreak updated to version 0.1.4 with previous version 0.1.3 dated 2025-01-08

Title: Set Axis Break for 'ggplot2'
Description: An implementation of scale functions for setting axis breaks of a 'gg' plot (S Xu (2021) <doi:10.3389/fgene.2021.774846>).
Author: Guangchuang Yu [aut, cre, cph] , Shuangbin Xu [aut]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package rollupTree updated to version 0.2.0 with previous version 0.1.0 dated 2025-01-20

Title: Perform Recursive Computations
Description: Mass rollup for a Bill of Materials is an example of a class of computations in which elements are arranged in a tree structure and some property of each element is a computed function of the corresponding values of its child elements. Leaf elements, i.e., those with no children, have values assigned. In many cases, the combining function is simple arithmetic sum; in other cases (e.g., mass properties), the combiner may involve other information such as the geometric relationship between parent and child, or statistical relations such as root-sum-of-squares (RSS). This package implements a general function for such problems. It is adapted to specific recursive computations by functional programming techniques; the caller passes a function as the update parameter to rollup() (or, at a lower level, passes functions as the get, set, combine, and override parameters to update_prop()) at runtime to specify the desired operations. The implementation relies on graph-theoretic algorithms from [...truncated...]
Author: James Steven Jenkins [aut, cre, cph]
Maintainer: James Steven Jenkins <sjenkins@studioj.us>

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Package joineRML updated to version 0.4.7 with previous version 0.4.6 dated 2023-01-19

Title: Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes
Description: Fits the joint model proposed by Henderson and colleagues (2000) <doi:10.1093/biostatistics/1.4.465>, but extended to the case of multiple continuous longitudinal measures. The time-to-event data is modelled using a Cox proportional hazards regression model with time-varying covariates. The multiple longitudinal outcomes are modelled using a multivariate version of the Laird and Ware linear mixed model. The association is captured by a multivariate latent Gaussian process. The model is estimated using a Monte Carlo Expectation Maximization algorithm. This project was funded by the Medical Research Council (Grant number MR/M013227/1).
Author: Graeme L. Hickey [cre, aut] , Pete Philipson [aut] , Andrea Jorgensen [ctb] , Ruwanthi Kolamunnage-Dona [aut] , Paula Williamson [ctb] , Dimitris Rizopoulos [ctb, dtc] , Alessandro Gasparini [aut] , Medical Research Council [fnd]
Maintainer: Graeme L. Hickey <graemeleehickey@gmail.com>

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Package gstat updated to version 2.1-3 with previous version 2.1-2 dated 2024-09-05

Title: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation
Description: Variogram modelling; simple, ordinary and universal point or block (co)kriging; spatio-temporal kriging; sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions; supports sf and stars.
Author: Edzer Pebesma [aut, cre] , Benedikt Graeler [aut]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package fbnet updated to version 1.0.4 with previous version 1.0.3 dated 2023-07-01

Title: Forensic Bayesian Networks
Description: Open-source package for computing likelihood ratios in kinship testing and human identification cases. It has the core function of the software GENis, developed by Fundación Sadosky. It relies on a Bayesian Networks framework and is particularly well suited to efficiently perform large-size queries against databases of missing individuals.
Author: Franco Marsico [aut, cre], Ariel Chernomoretz [aut]
Maintainer: Franco Marsico <franco.lmarsico@gmail.com>

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Package RSAGA updated to version 1.4.2 with previous version 1.4.0 dated 2022-12-09

Title: SAGA Geoprocessing and Terrain Analysis
Description: Provides access to geocomputing and terrain analysis functions of the geographical information system (GIS) 'SAGA' (System for Automated Geoscientific Analyses) from within R by running the command line version of SAGA. This package furthermore provides several R functions for handling ASCII grids, including a flexible framework for applying local functions (including predict methods of fitted models) and focal functions to multiple grids. SAGA GIS is available under GPL-2 / LGPL-2 licences from <https://sourceforge.net/projects/saga-gis/>.
Author: Alexander Brenning [aut, cre] , Donovan Bangs [aut], Marc Becker [aut], Patrick Schratz [ctb] , Fabian Polakowski [ctb]
Maintainer: Alexander Brenning <alexander.brenning@uni-jena.de>

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Package forensIT updated to version 1.1.1 with previous version 1.0.0 dated 2023-06-22

Title: Information Theory Tools for Forensic Analysis
Description: The 'forensIT' package is a comprehensive statistical toolkit tailored for handling missing person cases. By leveraging information theory metrics, it enables accurate assessment of kinship, particularly when limited genetic evidence is available. With a focus on optimizing statistical power, 'forensIT' empowers investigators to effectively prioritize family members, enhancing the reliability and efficiency of missing person investigations.
Author: Franco Marsico [aut, cre], Ariel Chernomoretz [aut]
Maintainer: Franco Marsico <franco.lmarsico@gmail.com>

Diff between forensIT versions 1.0.0 dated 2023-06-22 and 1.1.1 dated 2025-02-04

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Package BMisc updated to version 1.4.8 with previous version 1.4.7 dated 2025-01-10

Title: Miscellaneous Functions for Panel Data, Quantiles, and Printing Results
Description: These are miscellaneous functions for working with panel data, quantiles, and printing results. For panel data, the package includes functions for making a panel data balanced (that is, dropping missing individuals that have missing observations in any time period), converting id numbers to row numbers, and to treat repeated cross sections as panel data under the assumption of rank invariance. For quantiles, there are functions to make distribution functions from a set of data points (this is particularly useful when a distribution function is created in several steps), to combine distribution functions based on some external weights, and to invert distribution functions. Finally, there are several other miscellaneous functions for obtaining weighted means, weighted distribution functions, and weighted quantiles; to generate summary statistics and their differences for two groups; and to add or drop covariates from formulas.
Author: Brantly Callaway [aut, cre]
Maintainer: Brantly Callaway <brantly.callaway@uga.edu>

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Package ssifs updated to version 1.0.4 with previous version 1.0.2 dated 2023-05-12

Title: Stochastic Search Inconsistency Factor Selection
Description: Evaluating the consistency assumption of Network Meta-Analysis both globally and locally in the Bayesian framework. Inconsistencies are located by applying Bayesian variable selection to the inconsistency factors. The implementation of the method is described by Seitidis et al. (2023) <doi:10.1002/sim.9891>.
Author: Georgios Seitidis [aut, cre] , Stavros Nikolakopoulos [aut] , Ioannis Ntzoufras [aut] , Dimitris Mavridis [aut]
Maintainer: Georgios Seitidis <g.seitidis@uoi.gr>

Diff between ssifs versions 1.0.2 dated 2023-05-12 and 1.0.4 dated 2025-02-04

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Package netmeta updated to version 3.1-0 with previous version 3.0-2 dated 2025-01-22

Title: Network Meta-Analysis using Frequentist Methods
Description: A comprehensive set of functions providing frequentist methods for network meta-analysis (Balduzzi et al., 2023) <doi:10.18637/jss.v106.i02> and supporting Schwarzer et al. (2015) <doi:10.1007/978-3-319-21416-0>, Chapter 8 "Network Meta-Analysis": - frequentist network meta-analysis following Rücker (2012) <doi:10.1002/jrsm.1058>; - additive network meta-analysis for combinations of treatments (Rücker et al., 2020) <doi:10.1002/bimj.201800167>; - network meta-analysis of binary data using the Mantel-Haenszel or non-central hypergeometric distribution method (Efthimiou et al., 2019) <doi:10.1002/sim.8158>, or penalised logistic regression (Evrenoglou et al., 2022) <doi:10.1002/sim.9562>; - rankograms and ranking of treatments by the Surface under the cumulative ranking curve (SUCRA) (Salanti et al., 2013) <doi:10.1016/j.jclinepi.2010.03.016>; - ranking of treatments using P-scores (frequentist analogue of SUCRAs without resampling) according to [...truncated...]
Author: Gerta Ruecker [aut] , Ulrike Krahn [aut], Jochem Koenig [aut] , Orestis Efthimiou [aut] , Annabel Davies [aut] , Theodoros Papakonstantinou [aut] , Theodoros Evrenoglou [ctb] , Krzysztof Ciomek [ctb] , Guido Schwarzer [aut, cre]
Maintainer: Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de>

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Package HVT updated to version 25.2.1 with previous version 24.9.1 dated 2024-09-11

Title: Constructing Hierarchical Voronoi Tessellations and Overlay Heatmaps for Data Analysis
Description: Facilitates building topology preserving maps for data analysis.
Author: Zubin Dowlaty [aut], Mu Sigma, Inc. [cre]
Maintainer: "Mu Sigma, Inc." <ird.experiencelab@mu-sigma.com>

Diff between HVT versions 24.9.1 dated 2024-09-11 and 25.2.1 dated 2025-02-04

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Package RoBMA updated to version 3.4.0 with previous version 3.3.0 dated 2025-01-15

Title: Robust Bayesian Meta-Analyses
Description: A framework for estimating ensembles of meta-analytic and meta-regression models (assuming either presence or absence of the effect, heterogeneity, publication bias, and moderators). The RoBMA framework uses Bayesian model-averaging to combine the competing meta-analytic models into a model ensemble, weights the posterior parameter distributions based on posterior model probabilities and uses Bayes factors to test for the presence or absence of the individual components (e.g., effect vs. no effect; Bartoš et al., 2022, <doi:10.1002/jrsm.1594>; Maier, Bartoš & Wagenmakers, 2022, <doi:10.1037/met0000405>). Users can define a wide range of prior distributions for + the effect size, heterogeneity, publication bias (including selection models and PET-PEESE), and moderator components. The package provides convenient functions for summary, visualizations, and fit diagnostics.
Author: Frantisek Bartos [aut, cre] , Maximilian Maier [aut] , Eric-Jan Wagenmakers [ths] , Joris Goosen [ctb], Matthew Denwood [cph] , Martyn Plummer [cph]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

Diff between RoBMA versions 3.3.0 dated 2025-01-15 and 3.4.0 dated 2025-02-04

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Permanent link

New package RFplus with initial version 1.2-2
Package: RFplus
Title: Progressive Bias Correction of Satellite Environmental Data
Version: 1.2-2
Encoding: UTF-8
Maintainer: Jonnathan Augusto Landi Bermeo <jonnathan.landi@outlook.com>
Description: Implements a bias correction method that combines Random Forest models with Quantile Mapping to improve the accuracy of satellite-derived environmental datasets. The model corrects biases in meteorological variables, such as precipitation and temperature, by integrating in situ measurements and a Digital Elevation Model (DEM).
License: GPL (>= 3)
Depends: R (>= 4.4.0)
Imports: terra, randomForest, data.table, dplyr, pbapply, qmap
URL: https://github.com/Jonnathan-Landi/RFplus
BugReports: https://github.com/Jonnathan-Landi/RFplus/issues
NeedsCompilation: no
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Packaged: 2025-02-03 23:36:34 UTC; Jonna
Author: Jonnathan Augusto Landi Bermeo [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-02-04 09:10:02 UTC

More information about RFplus at CRAN
Permanent link

Package maptiles updated to version 0.9.0 with previous version 0.8.0 dated 2024-10-22

Title: Download and Display Map Tiles
Description: To create maps from tiles, 'maptiles' downloads, composes and displays tiles from a large number of providers (e.g. 'OpenStreetMap', 'Stadia', 'Esri', 'CARTO', or 'Thunderforest').
Author: Timothee Giraud [cre, aut] , Diego Hernangomez [ctb] , Robert J. Hijmans [ctb] , Hugh A. Graham [ctb]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

Diff between maptiles versions 0.8.0 dated 2024-10-22 and 0.9.0 dated 2025-02-04

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Package primes updated to version 1.6.1 with previous version 1.6.0 dated 2024-01-08

Title: Fast Functions for Prime Numbers
Description: Fast functions for dealing with prime numbers, such as testing whether a number is prime and generating a sequence prime numbers. Additional functions include finding prime factors and Ruth-Aaron pairs, finding next and previous prime numbers in the series, finding or estimating the nth prime, estimating the number of primes less than or equal to an arbitrary number, computing primorials, prime k-tuples (e.g., twin primes), finding the greatest common divisor and smallest (least) common multiple, testing whether two numbers are coprime, and computing Euler's totient function. Most functions are vectorized for speed and convenience.
Author: Os Keyes [aut], Paul Egeler [aut, cre]
Maintainer: Paul Egeler <paulegeler@gmail.com>

Diff between primes versions 1.6.0 dated 2024-01-08 and 1.6.1 dated 2025-02-04

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New package nlpembeds with initial version 1.0.0
Package: nlpembeds
Title: Natural Language Processing Embeddings
Version: 1.0.0
Description: Provides efficient methods to compute co-occurrence matrices, pointwise mutual information (PMI) and singular value decomposition (SVD). In the biomedical and clinical settings, one challenge is the huge size of databases, e.g. when analyzing data of millions of patients over tens of years. To address this, this package provides functions to efficiently compute monthly co-occurrence matrices, which is the computational bottleneck of the analysis, by using the 'RcppAlgos' package and sparse matrices. Furthermore, the functions can be called on 'SQL' databases, enabling the computation of co-occurrence matrices of tens of gigabytes of data, representing millions of patients over tens of years. Partly based on Hong C. (2021) <doi:10.1038/s41746-021-00519-z>.
Imports: data.table, magrittr, Matrix, methods, parallel, RcppAlgos, reshape2, RSQLite, rsvd
Depends: R (>= 3.5.0)
Suggests: knitr, testthat
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
URL: https://gitlab.com/thomaschln/nlpembeds
BugReports: https://gitlab.com/thomaschln/nlpembeds/-/issues
NeedsCompilation: no
Packaged: 2025-02-03 20:02:33 UTC; root
Author: Thomas Charlon [aut, cre] , Doudou Zhou [ctb] , CELEHS [aut]
Maintainer: Thomas Charlon <charlon@protonmail.com>
Repository: CRAN
Date/Publication: 2025-02-04 08:30:01 UTC

More information about nlpembeds at CRAN
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New package fastQR with initial version 1.0.0
Package: fastQR
Title: Fast QR Decomposition and Update
Version: 1.0.0
Date: 2025-01-25
Author: Mauro Bernardi [aut, cre], Claudio Busatto [aut], Manuela Cattelan [aut]
Maintainer: Mauro Bernardi <mauro.bernardi@unipd.it>
Description: Efficient algorithms for performing, updating, and downdating the QR decomposition, R decomposition, or the inverse of the R decomposition of a matrix as rows or columns are added or removed. It also includes functions for solving linear systems of equations, normal equations for linear regression models, and normal equations for linear regression with a RIDGE penalty. For a detailed introduction to these methods, see the book by Golub and Van Loan (2013, <doi:10.1007/978-3-319-05089-8>) for complete introduction to the methods.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.10), RcppEigen, Rdpack
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
Encoding: UTF-8
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2025-02-03 22:19:19 UTC; maurobernardi
Repository: CRAN
Date/Publication: 2025-02-04 08:40:01 UTC

More information about fastQR at CRAN
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Package singleRcapture updated to version 0.2.2 with previous version 0.2.1.4 dated 2025-01-07

Title: Single-Source Capture-Recapture Models
Description: Implementation of single-source capture-recapture methods for population size estimation using zero-truncated, zero-one truncated and zero-truncated one-inflated Poisson, Geometric and Negative Binomial regression as well as Zelterman's and Chao's regression. Package includes point and interval estimators for the population size with variances estimated using analytical or bootstrap method. Details can be found in: van der Heijden et all. (2003) <doi:10.1191/1471082X03st057oa>, Böhning and van der Heijden (2019) <doi:10.1214/18-AOAS1232>, Böhning et al. (2020) Capture-Recapture Methods for the Social and Medical Sciences or Böhning and Friedl (2021) <doi:10.1007/s10260-021-00556-8>.
Author: Piotr Chlebicki [aut, ctb] , Maciej Beresewicz [aut, cre]
Maintainer: Maciej Beresewicz <maciej.beresewicz@ue.poznan.pl>

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Mon, 03 Feb 2025

Package ForestTools updated to version 1.0.3 with previous version 1.0.2 dated 2024-04-28

Title: Tools for Analyzing Remote Sensing Forest Data
Description: Tools for analyzing remote sensing forest data, including functions for detecting treetops from canopy models, outlining tree crowns, and calculating textural metrics.
Author: Andrew Plowright [aut, cre], Jean-Romain Roussel [ctb]
Maintainer: Andrew Plowright <andrew.plowright@alumni.ubc.ca>

Diff between ForestTools versions 1.0.2 dated 2024-04-28 and 1.0.3 dated 2025-02-03

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Package ggpca updated to version 0.1.3 with previous version 0.1.2 dated 2024-10-28

Title: Publication-Ready PCA, t-SNE, and UMAP Plots
Description: Provides tools for creating publication-ready dimensionality reduction plots, including Principal Component Analysis (PCA), t-Distributed Stochastic Neighbor Embedding (t-SNE), and Uniform Manifold Approximation and Projection (UMAP). This package helps visualize high-dimensional data with options for custom labels, density plots, and faceting, using the 'ggplot2' framework Wickham (2016) <doi:10.1007/978-3-319-24277-4>.
Author: Yaoxiang Li [cre, aut]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>

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Package dbi.table updated to version 1.0.3 with previous version 1.0.1 dated 2024-12-10

Title: Database Queries Using 'data.table' Syntax
Description: Query database tables over a 'DBI' connection using 'data.table' syntax. Attach database schemas to the search path. Automatically merge using foreign key constraints.
Author: Kjell P. Konis [aut, cre], Luis Rocha [ctb]
Maintainer: Kjell P. Konis <kjellk@gmail.com>

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Package cmhc updated to version 0.2.10 with previous version 0.2.9 dated 2024-11-05

Title: Access, Retrieve, and Work with CMHC Data
Description: Wrapper around the Canadian Mortgage and Housing Corporation (CMHC) web interface. It enables programmatic and reproducible access to a wide variety of housing data from CMHC.
Author: Jens von Bergmann [aut, cre]
Maintainer: Jens von Bergmann <jens@mountainmath.ca>

Diff between cmhc versions 0.2.9 dated 2024-11-05 and 0.2.10 dated 2025-02-03

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Package areaplot updated to version 2.1.3 with previous version 2.1.2 dated 2024-01-14

Title: Plot Stacked Areas and Confidence Bands as Filled Polygons
Description: Plot stacked areas and confidence bands as filled polygons, or add polygons to existing plots. A variety of input formats are supported, including vectors, matrices, data frames, formulas, etc.
Author: Arni Magnusson [aut, cre]
Maintainer: Arni Magnusson <thisisarni@gmail.com>

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Package teal.slice updated to version 0.6.0 with previous version 0.5.1 dated 2024-04-30

Title: Filter Module for 'teal' Applications
Description: Data filtering module for 'teal' applications. Allows for interactive filtering of data stored in 'data.frame' and 'MultiAssayExperiment' objects. Also displays filtered and unfiltered observation counts.
Author: Dawid Kaledkowski [aut, cre] , Pawel Rucki [aut], Aleksander Chlebowski [aut] , Andre Verissimo [aut] , Kartikeya Kirar [aut], Marcin Kosinski [aut], Chendi Liao [rev], Dony Unardi [rev], Andrew Bates [aut], Mahmoud Hallal [aut], Nikolas Burkoff [aut [...truncated...]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@roche.com>

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Package miceFast updated to version 0.8.5 with previous version 0.8.2 dated 2022-11-17

Title: Fast Imputations Using 'Rcpp' and 'Armadillo'
Description: Fast imputations under the object-oriented programming paradigm. Moreover there are offered a few functions built to work with popular R packages such as 'data.table' or 'dplyr'. The biggest improvement in time performance could be achieve for a calculation where a grouping variable have to be used. A single evaluation of a quantitative model for the multiple imputations is another major enhancement. A new major improvement is one of the fastest predictive mean matching in the R world because of presorting and binary search.
Author: Maciej Nasinski [aut, cre]
Maintainer: Maciej Nasinski <nasinski.maciej@gmail.com>

Diff between miceFast versions 0.8.2 dated 2022-11-17 and 0.8.5 dated 2025-02-03

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Package strata updated to version 1.4.0 with previous version 1.0.1 dated 2024-11-27

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 tidyterra updated to version 0.7.0 with previous version 0.6.2 dated 2025-01-08

Title: 'tidyverse' Methods and 'ggplot2' Helpers for 'terra' Objects
Description: Extension of the 'tidyverse' for 'SpatRaster' and 'SpatVector' objects of the 'terra' package. It includes also new 'geom_' functions that provide a convenient way of visualizing 'terra' objects with 'ggplot2'.
Author: Diego Hernangomez [aut, cre, cph] , Dewey Dunnington [ctb] , ggplot2 authors [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

Diff between tidyterra versions 0.6.2 dated 2025-01-08 and 0.7.0 dated 2025-02-03

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New package shinyr with initial version 0.4.2
Package: shinyr
Title: Data Insights Through Inbuilt R Shiny App
Version: 0.4.2
Description: It builds dynamic R shiny based dashboards to analyze any CSV files. It provides simple dashboard design to subset the data, perform exploratory data analysis and preliminary machine learning (supervised and unsupervised). It also provides filters based on columns of interest.
Depends: R (>= 3.5.0),
Imports: dplyr, shiny, shinydashboard, tm, wordcloud, corrplot, randomForest, RColorBrewer, caret, nnet, plotly
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-02-03 14:15:51 UTC; RPUSH1
Author: Jayachandra N [aut, cre], Pushker Ravindra [aut]
Maintainer: Jayachandra N <itsjay510@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-03 19:30:02 UTC

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Package rgrass updated to version 0.5-1 with previous version 0.4-4 dated 2024-09-03

Title: Interface Between 'GRASS' Geographical Information System and 'R'
Description: An interface between the 'GRASS' geographical information system ('GIS') and 'R', based on starting 'R' from within the 'GRASS' 'GIS' environment, or running a free-standing 'R' session in a temporary 'GRASS' location; the package provides facilities for using all 'GRASS' commands from the 'R' command line. The original interface package for 'GRASS 5' (2000-2010) is described in Bivand (2000) <doi:10.1016/S0098-3004(00)00057-1> and Bivand (2001) <https://www.r-project.org/conferences/DSC-2001/Proceedings/Bivand.pdf>. This was succeeded by 'spgrass6' for 'GRASS 6' (2006-2016) and 'rgrass7' for 'GRASS 7' (2015-present). The 'rgrass' package modernizes the interface for 'GRASS 8' while still permitting the use of 'GRASS 7'.
Author: Roger Bivand [aut] , Sebastian Jeworutzki [ctb] , Rainer Krug [ctb] , Robin Lovelace [ctb] , Markus Neteler [ctb] , Steven Pawley [cre, aut] , Floris Vanderhaeghe [ctb]
Maintainer: Steven Pawley <dr.stevenpawley@gmail.com>

Diff between rgrass versions 0.4-4 dated 2024-09-03 and 0.5-1 dated 2025-02-03

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Package ordbetareg updated to version 0.8 with previous version 0.7.2 dated 2023-08-10

Title: Ordered Beta Regression Models with 'brms'
Description: Implements ordered beta regression models, which are for modeling continuous variables with upper and lower bounds, such as survey sliders, dose-response relationships and indexes. For more information, see Kubinec (2023) <doi:10.31235/osf.io/2sx6y>. The package is a front-end to the R package 'brms', which facilitates a range of regression specifications, including hierarchical, dynamic and multivariate modeling.
Author: Robert Kubinec [aut, cre]
Maintainer: Robert Kubinec <bobkubinec@gmail.com>

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Package cgmanalysis updated to version 3.0.2 with previous version 3.0.1 dated 2025-02-01

Title: Clean and Analyze Continuous Glucose Monitor Data
Description: This code provides several different functions for cleaning and analyzing continuous glucose monitor data. Currently it works with 'Dexcom', 'iPro 2', 'Diasend', 'Libre', or 'Carelink' data. The cleandata() function takes a directory of CGM data files and prepares them for analysis. cgmvariables() iterates through a directory of cleaned CGM data files and produces a single spreadsheet with data for each file in either rows or columns. The column format of this spreadsheet is compatible with REDCap data upload. cgmreport() also iterates through a directory of cleaned data, and produces PDFs of individual and aggregate AGP plots. Please visit <https://github.com/childhealthbiostatscore/R-Packages/> to download the new-user guide.
Author: Tim Vigers [aut, cre]
Maintainer: Tim Vigers <timothy.vigers@cuanschutz.edu>

Diff between cgmanalysis versions 3.0.1 dated 2025-02-01 and 3.0.2 dated 2025-02-03

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New package tmap.cartogram with initial version 0.1
Package: tmap.cartogram
License: GPL-3
Title: Extension to 'tmap' for Creating Cartograms
Description: Provides new layer functions to 'tmap' for creating various types of cartograms. A cartogram is a type of thematic map in which geographic areas are resized or distorted based on a quantitative variable, such as population. The goal is to make the area sizes proportional to the selected variable while preserving geographic positions as much as possible.
Version: 0.1
Encoding: UTF-8
Depends: R (>= 3.5.0),
Imports: tmap (>= 4.0), sf, cartogram
Suggests: knitr
URL: https://github.com/r-tmap/tmap.cartogram, https://r-tmap.github.io/tmap.cartogram/
BugReports: https://github.com/r-tmap/tmap.cartogram/issues
NeedsCompilation: no
Packaged: 2025-02-03 16:19:33 UTC; mtes
Author: Martijn Tennekes [aut, cre]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-03 18:20:02 UTC

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New package shinykanban with initial version 0.0.1
Package: shinykanban
Title: Create Kanban Board in Shiny Applications
Version: 0.0.1
Description: Provides an interactive Kanban board widget for 'shiny' applications. It allows users to manage tasks using a drag-and-drop interface and offers customizable styling options. 'shinykanban' is ideal for project management, task tracking, and agile workflows within 'shiny' apps.
License: MIT + file LICENSE
URL: https://github.com/ugurdar/shinykanban
BugReports: https://github.com/ugurdar/shinykanban/issues
Encoding: UTF-8
Imports: htmlwidgets, reactR, shiny, bsicons, htmltools
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-02-03 14:10:49 UTC; ugurdar
Author: Ugur Dar [aut, cre], Brian Pillmore [aut, cph]
Maintainer: Ugur Dar <ugurdarr@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-03 18:10:02 UTC

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New package authoritative with initial version 0.1.0
Package: authoritative
Title: Parse and Deduplicate Author Names
Version: 0.1.0
Description: Utilities to parse authors fields from DESCRIPTION files and general purpose functions to deduplicate names in database, beyond the specific case of R package authors.
License: MIT + file LICENSE
URL: https://github.com/epiverse-connect/authoritative
BugReports: https://github.com/epiverse-connect/authoritative/issues
Depends: R (>= 4.1.0)
Imports: stringi, utils
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
LazyData: true
NeedsCompilation: no
Packaged: 2025-02-03 17:27:42 UTC; hugo
Author: Hugo Gruson [aut, cre, cph] , Chris Hartgerink [rev]
Maintainer: Hugo Gruson <hugo@data.org>
Repository: CRAN
Date/Publication: 2025-02-03 18:30:02 UTC

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Package SWMPr updated to version 2.5.2 with previous version 2.5.1 dated 2024-06-24

Title: Retrieving, Organizing, and Analyzing Estuary Monitoring Data
Description: Tools for retrieving, organizing, and analyzing environmental data from the System Wide Monitoring Program of the National Estuarine Research Reserve System <https://cdmo.baruch.sc.edu/>. These tools address common challenges associated with continuous time series data for environmental decision making.
Author: Marcus W. Beck [aut, cre], Kimberly Cressman [ctb]
Maintainer: Marcus W. Beck <mbeck@tbep.org>

Diff between SWMPr versions 2.5.1 dated 2024-06-24 and 2.5.2 dated 2025-02-03

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Package sommer updated to version 4.3.7 with previous version 4.3.6 dated 2024-10-20

Title: Solving Mixed Model Equations in R
Description: Structural multivariate-univariate linear mixed model solver for estimation of multiple random effects with unknown variance-covariance structures (e.g., heterogeneous and unstructured) and known covariance among levels of random effects (e.g., pedigree and genomic relationship matrices) (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>; Jensen et al., 1997). REML estimates can be obtained using the Direct-Inversion Newton-Raphson and Direct-Inversion Average Information algorithms for the problems r x r (r being the number of records) or using the Henderson-based average information algorithm for the problem c x c (c being the number of coefficients to estimate). Spatial models can also be fitted using the two-dimensional spline functionality available.
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

Diff between sommer versions 4.3.6 dated 2024-10-20 and 4.3.7 dated 2025-02-03

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Package RcppAlgos updated to version 2.9.3 with previous version 2.9.1 dated 2025-01-27

Title: High Performance Tools for Combinatorics and Computational Mathematics
Description: Provides optimized functions and flexible iterators implemented in C++ for solving problems in combinatorics and computational mathematics. Handles various combinatorial objects including combinations, permutations, integer partitions and compositions, Cartesian products, unordered Cartesian products, and partition of groups. Utilizes the RMatrix class from 'RcppParallel' for thread safety. The combination and permutation functions contain constraint parameters that allow for generation of all results of a vector meeting specific criteria (e.g. finding all combinations such that the sum is between two bounds). Capable of ranking/unranking combinatorial objects efficiently (e.g. retrieve only the nth lexicographical result) which sets up nicely for parallelization as well as random sampling. Gmp support permits exploration where the total number of results is large (e.g. comboSample(10000, 500, n = 4)). Additionally, there are several high performance number theoretic functions that are [...truncated...]
Author: Joseph Wood [aut, cre]
Maintainer: Joseph Wood <jwood000@gmail.com>

Diff between RcppAlgos versions 2.9.1 dated 2025-01-27 and 2.9.3 dated 2025-02-03

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New package raybevel with initial version 0.2.2
Package: raybevel
Title: Generates Polygon Straight Skeletons and 3D Bevels
Version: 0.2.2
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>
Description: Generates polygon straight skeletons and 3D models. Provides functions to create and visualize interior polygon offsets, 3D beveled polygons, and 3D roof models.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: progress, digest, decido, rayvertex (>= 0.11.4), sf, grid
LinkingTo: Rcpp, BH, RcppCGAL (>= 6.0.1), progress, RcppThread (>= 2.1.6)
Suggests: spData, rayrender (>= 0.38.3), testthat (>= 3.0.0), ggplot2, png
URL: https://www.raybevel.com, https://github.com/tylermorganwall/raybevel/, http://www.raybevel.com/
BugReports: https://github.com/tylermorganwall/raybevel/issues
NeedsCompilation: yes
Packaged: 2025-02-02 04:36:39 UTC; tyler
Author: Tyler Morgan-Wall [aut, cph, cre]
Repository: CRAN
Date/Publication: 2025-02-03 17:40:02 UTC

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New package lightAUC with initial version 0.1.1
Package: lightAUC
Title: Fast AUC Computation
Version: 0.1.1
Maintainer: Christos Adam <econp266@econ.soc.uoc.gr>
Description: Fast calculation of Area Under Curve (AUC) metric of a Receiver Operating Characteristic (ROC) curve, using the algorithm of Fawcett (2006) <doi:10.1016/j.patrec.2005.10.010>. Therefore it is appropriate for large-scale AUC metric calculations.
License: GPL-3
Imports: Rcpp (>= 1.0.13), RcppParallel (>= 5.1.9)
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Encoding: UTF-8
SystemRequirements: GNU make
Suggests: Rfast, Rfast2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr, rmarkdown
URL: https://github.com/cadam00/lightAUC, https://cadam00.github.io/lightAUC/
BugReports: https://github.com/cadam00/lightAUC/issues
NeedsCompilation: yes
Packaged: 2025-02-03 06:15:31 UTC; Administrator
Author: Christos Adam [aut, cre]
Repository: CRAN
Date/Publication: 2025-02-03 18:00:01 UTC

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Package interfacer updated to version 0.3.3 with previous version 0.3.2 dated 2024-11-14

Title: Define and Enforce Contracts for Dataframes as Function Parameters
Description: A dataframe validation framework for package builders who use dataframes as function parameters. It performs checks on column names, coerces data-types, and checks grouping to make sure user inputs conform to a specification provided by the package author. It provides a mechanism for package authors to automatically document supported dataframe inputs and selectively dispatch to functions depending on the format of a dataframe much like S3 does for classes. It also contains some developer tools to make working with and documenting dataframe specifications easier. It helps package developers to improve their documentation and simplifies parameter validation where dataframes are used as function parameters.
Author: Robert Challen [aut, cre, cph]
Maintainer: Robert Challen <rob.challen@bristol.ac.uk>

Diff between interfacer versions 0.3.2 dated 2024-11-14 and 0.3.3 dated 2025-02-03

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New package HetSeq with initial version 0.1.0
Package: HetSeq
Title: Identifying Modulators of Cellular Responses Leveraging Intercellular Heterogeneity
Version: 0.1.0
Author: Kevin Berg [aut, cre], Florian Erhard [aut] , Lygeri Sakellaridi [aut]
Maintainer: Kevin Berg <Kevin.Berg@informatik.uni-regensburg.de>
Description: Cellular responses to perturbations are highly heterogeneous and depend largely on the initial state of cells. Connecting post-perturbation cells via cellular trajectories to untreated cells (e.g. by leveraging metabolic labeling information) enables exploitation of intercellular heterogeneity as a combined knock-down and overexpression screen to identify pathway modulators, termed Heterogeneity-seq (see 'Berg et al' <doi:10.1101/2024.10.28.620481>). This package contains functions to generate cellular trajectories based on scSLAM-seq (single-cell, thiol-(SH)-linked alkylation of RNA for metabolic labelling sequencing) time courses, functions to identify pathway modulators and to visualize the results.
License: Apache License (>= 2)
URL: https://github.com/erhard-lab/HetSeq
BugReports: https://github.com/erhard-lab/HetSeq/issues
Depends: R (>= 4.1.0)
Imports: cowplot, doParallel, foreach, DoubleML, e1071, igraph, ggplot2, ggrastr, ggrepel, grandR, lpSolve, mlr3, pROC, reshape2, scales, Seurat, stats
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-02-03 11:36:32 UTC; berg
Repository: CRAN
Date/Publication: 2025-02-03 18:00:05 UTC

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Package aebdata updated to version 0.1.4 with previous version 0.1.3 dated 2025-01-12

Title: Access Data from the Atlas do Estado Brasileiro
Description: Facilitates access to the data from the Atlas do Estado Brasileiro (<https://www.ipea.gov.br/atlasestado/>), maintained by the Instituto de Pesquisa Econômica Aplicada (Ipea). It allows users to search for specific series, list series or themes, and download data when available.
Author: Hugo Macedo [aut, cre, cph]
Maintainer: Hugo Macedo <aebdata@hhmace.do>

Diff between aebdata versions 0.1.3 dated 2025-01-12 and 0.1.4 dated 2025-02-03

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Package torch updated to version 0.14.1 with previous version 0.14.0 dated 2025-01-30

Title: Tensors and Neural Networks with 'GPU' Acceleration
Description: Provides functionality to define and train neural networks similar to 'PyTorch' by Paszke et al (2019) <doi:10.48550/arXiv.1912.01703> but written entirely in R using the 'libtorch' library. Also supports low-level tensor operations and 'GPU' acceleration.
Author: Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], Hamada S. Badr [ctb], Sebastian Fischer [ctb], Maximilian Pichler [ctb], RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>

Diff between torch versions 0.14.0 dated 2025-01-30 and 0.14.1 dated 2025-02-03

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Package smooth updated to version 4.1.1 with previous version 4.1.0 dated 2024-10-01

Title: Forecasting Using State Space Models
Description: Functions implementing Single Source of Error state space models for purposes of time series analysis and forecasting. The package includes ADAM (Svetunkov, 2023, <https://openforecast.org/adam/>), Exponential Smoothing (Hyndman et al., 2008, <doi: 10.1007/978-3-540-71918-2>), SARIMA (Svetunkov & Boylan, 2019 <doi: 10.1080/00207543.2019.1600764>), Complex Exponential Smoothing (Svetunkov & Kourentzes, 2018, <doi: 10.13140/RG.2.2.24986.29123>), Simple Moving Average (Svetunkov & Petropoulos, 2018 <doi: 10.1080/00207543.2017.1380326>) and several simulation functions. It also allows dealing with intermittent demand based on the iETS framework (Svetunkov & Boylan, 2019, <doi: 10.13140/RG.2.2.35897.06242>).
Author: Ivan Svetunkov [aut, cre]
Maintainer: Ivan Svetunkov <ivan@svetunkov.com>

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Package sgs updated to version 0.3.3 with previous version 0.3.2 dated 2024-11-28

Title: Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control
Description: Implementation of Sparse-group SLOPE (SGS) (Feser and Evangelou (2023) <doi:10.48550/arXiv.2305.09467>) models. Linear and logistic regression models are supported, both of which can be fit using k-fold cross-validation. Dense and sparse input matrices are supported. In addition, a general Adaptive Three Operator Splitting (ATOS) (Pedregosa and Gidel (2018) <doi:10.48550/arXiv.1804.02339>) implementation is provided. Group SLOPE (gSLOPE) (Brzyski et al. (2019) <doi:10.1080/01621459.2017.1411269>) and group-based OSCAR models (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.15357>) are also implemented. All models are available with strong screening rules (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.15357>) for computational speed-up.
Author: Fabio Feser [aut, cre]
Maintainer: Fabio Feser <ff120@ic.ac.uk>

Diff between sgs versions 0.3.2 dated 2024-11-28 and 0.3.3 dated 2025-02-03

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Package RegSDC updated to version 1.0.0 with previous version 0.7.0 dated 2022-08-19

Title: Information Preserving Regression-Based Tools for Statistical Disclosure Control
Description: Implementation of the methods described in the paper with the above title: Langsrud, Ø. (2019) <doi:10.1007/s11222-018-9848-9>. The package can be used to generate synthetic or hybrid continuous microdata, and the relationship to the original data can be controlled in several ways. A function for replacing suppressed tabular cell frequencies with decimal numbers is included.
Author: Oeyvind Langsrud [aut, cre]
Maintainer: Oeyvind Langsrud <oyl@ssb.no>

Diff between RegSDC versions 0.7.0 dated 2022-08-19 and 1.0.0 dated 2025-02-03

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Package locfit updated to version 1.5-9.11 with previous version 1.5-9.10 dated 2024-06-24

Title: Local Regression, Likelihood and Density Estimation
Description: Local regression, likelihood and density estimation methods as described in the 1999 book by Loader.
Author: Catherine Loader [aut], Jiayang Sun [ctb], Lucent Technologies [cph], Andy Liaw [cre]
Maintainer: Andy Liaw <andy_liaw@merck.com>

Diff between locfit versions 1.5-9.10 dated 2024-06-24 and 1.5-9.11 dated 2025-02-03

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More information about locfit at CRAN
Permanent link

New package legion with initial version 0.2.1
Package: legion
Title: Forecasting Using Multivariate Models
Version: 0.2.1
Date: 2025-02-03
URL: https://github.com/config-i1/legion
BugReports: https://github.com/config-i1/legion/issues
Language: en-GB
Description: Functions implementing multivariate state space models for purposes of time series analysis and forecasting. The focus of the package is on multivariate models, such as Vector Exponential Smoothing, Vector ETS (Error-Trend-Seasonal model) etc. It currently includes Vector Exponential Smoothing (VES, de Silva et al., 2010, <doi:10.1177/1471082X0901000401>), Vector ETS (Svetunkov et al., 2023, <doi:10.1016/j.ejor.2022.04.040>) and simulation function for VES.
License: LGPL-2.1
Depends: R (>= 3.5.0), greybox (>= 1.0.4), smooth (>= 3.1.0)
Imports: Rcpp (>= 0.12.3), stats, generics (>= 0.1.2), graphics, grDevices, Matrix, nloptr, utils, zoo
LinkingTo: Rcpp, RcppArmadillo (>= 0.8.100.0.0)
Suggests: numDeriv, testthat, knitr, rmarkdown, doMC, doParallel, foreach
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-02-03 14:14:35 UTC; config
Author: Ivan Svetunkov [aut, cre] , Kandrika Fadhlan Pritularga [aut]
Maintainer: Ivan Svetunkov <ivan@svetunkov.com>
Repository: CRAN
Date/Publication: 2025-02-03 16:10:02 UTC

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Package dfr updated to version 0.1.3 with previous version 0.1.2 dated 2024-11-28

Title: Dual Feature Reduction for SGL
Description: Implementation of the Dual Feature Reduction (DFR) approach for the Sparse Group Lasso (SGL) and the Adaptive Sparse Group Lasso (aSGL) (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.17094>). The DFR approach is a feature reduction approach that applies strong screening to reduce the feature space before optimisation, leading to speed-up improvements for fitting SGL (Simon et al. (2013) <doi:10.1080/10618600.2012.681250>) and aSGL (Mendez-Civieta et al. (2020) <doi:10.1007/s11634-020-00413-8> and Poignard (2020) <doi:10.1007/s10463-018-0692-7>) models. DFR is implemented using the Adaptive Three Operator Splitting (ATOS) (Pedregosa and Gidel (2018) <doi:10.48550/arXiv.1804.02339>) algorithm, with linear and logistic SGL models supported, both of which can be fit using k-fold cross-validation. Dense and sparse input matrices are supported.
Author: Fabio Feser [aut, cre]
Maintainer: Fabio Feser <ff120@ic.ac.uk>

Diff between dfr versions 0.1.2 dated 2024-11-28 and 0.1.3 dated 2025-02-03

 DESCRIPTION    |    8 ++++----
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Package mongolite updated to version 3.0.1 with previous version 3.0.0 dated 2025-01-27

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

Diff between mongolite versions 3.0.0 dated 2025-01-27 and 3.0.1 dated 2025-02-03

 DESCRIPTION            |    6 +++---
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Package lessR updated to version 4.4.1 with previous version 4.4.0 dated 2025-01-12

Title: Less Code, More Results
Description: Each function replaces multiple standard R functions. For example, two function calls, Read() and CountAll(), generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for summary statistics via pivot tables, a comprehensive regression analysis, ANOVA and t-test, visualizations including the Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, time series with aggregation and forecasting, color themes, and Trellis (facet) graphics. Also includes a confirmatory factor analysis of multiple indicator measurement models, pedagogical routines for data simulation such as for the Central Limit Theorem, generation and rendering of regression instructions for interpretative output, and interactive visualizations.
Author: David W. Gerbing [aut, cre]
Maintainer: David W. Gerbing <gerbing@pdx.edu>

Diff between lessR versions 4.4.0 dated 2025-01-12 and 4.4.1 dated 2025-02-03

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Package crew updated to version 1.0.0 with previous version 0.10.2 dated 2024-11-15

Title: A Distributed Worker Launcher Framework
Description: In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'NNG'-powered 'mirai' R package by Gao (2023) <doi:10.5281/zenodo.7912722> is a sleek and sophisticated scheduler that efficiently processes these intense workloads. The 'crew' package extends 'mirai' with a unifying interface for third-party worker launchers. Inspiration also comes from packages. 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischel, and Surmann (2017) <doi:10.21105/joss.00135>.
Author: William Michael Landau [aut, cre] , Daniel Woodie [ctb], Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between crew versions 0.10.2 dated 2024-11-15 and 1.0.0 dated 2025-02-03

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Package TSLSTMplus updated to version 1.0.6 with previous version 1.0.5 dated 2024-09-06

Title: Long-Short Term Memory for Time-Series Forecasting, Enhanced
Description: The LSTM (Long Short-Term Memory) model is a Recurrent Neural Network (RNN) based architecture that is widely used for time series forecasting. Customizable configurations for the model are allowed, improving the capabilities and usability of this model compared to other packages. This package is based on 'keras' and 'tensorflow' modules and the algorithm of Paul and Garai (2021) <doi:10.1007/s00500-021-06087-4>.
Author: Jaime Pizarroso Gonzalo [aut, ctb, cre], Antonio Munoz San Roque [aut]
Maintainer: Jaime Pizarroso Gonzalo <jpizarroso@comillas.edu>

Diff between TSLSTMplus versions 1.0.5 dated 2024-09-06 and 1.0.6 dated 2025-02-03

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More information about TSLSTMplus at CRAN
Permanent link

Package optRF updated to version 1.1.0 with previous version 1.0.1 dated 2024-09-23

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

Diff between optRF versions 1.0.1 dated 2024-09-23 and 1.1.0 dated 2025-02-03

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Package openssl updated to version 2.3.2 with previous version 2.3.1 dated 2025-01-09

Title: Toolkit for Encryption, Signatures and Certificates Based on OpenSSL
Description: Bindings to OpenSSL libssl and libcrypto, plus custom SSH key parsers. Supports RSA, DSA and EC curves P-256, P-384, P-521, and curve25519. Cryptographic signatures can either be created and verified manually or via x509 certificates. AES can be used in cbc, ctr or gcm mode for symmetric encryption; RSA for asymmetric (public key) encryption or EC for Diffie Hellman. High-level envelope functions combine RSA and AES for encrypting arbitrary sized data. Other utilities include key generators, hash functions (md5, sha1, sha256, etc), base64 encoder, a secure random number generator, and 'bignum' math methods for manually performing crypto calculations on large multibyte integers.
Author: Jeroen Ooms [aut, cre] , Oliver Keyes [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between openssl versions 2.3.1 dated 2025-01-09 and 2.3.2 dated 2025-02-03

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Package SCDB updated to version 0.5.0 with previous version 0.4.1 dated 2024-10-03

Title: Easily Access and Maintain Time-Based Versioned Data (Slowly-Changing-Dimension)
Description: A collection of functions that enable easy access and updating of a database of data over time. More specifically, the package facilitates type-2 history for data-warehouses and provides a number of Quality of life improvements for working on SQL databases with R. For reference see Ralph Kimball and Margy Ross (2013, ISBN 9781118530801).
Author: Rasmus Skytte Randloev [aut, cre, rev] , Marcus Munch Gruenewald [aut] , Lasse Engbo Christiansen [rev] , Sofia Myrup Otero [rev], Statens Serum Institut [cph, fnd]
Maintainer: Rasmus Skytte Randloev <rske@ssi.dk>

Diff between SCDB versions 0.4.1 dated 2024-10-03 and 0.5.0 dated 2025-02-03

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Package lcmm updated to version 2.2.0 with previous version 2.1.0 dated 2023-10-06

Title: Extended Mixed Models Using Latent Classes and Latent Processes
Description: Estimation of various extensions of the mixed models including latent class mixed models, joint latent class mixed models, mixed models for curvilinear outcomes, mixed models for multivariate longitudinal outcomes using a maximum likelihood estimation method (Proust-Lima, Philipps, Liquet (2017) <doi:10.18637/jss.v078.i02>).
Author: Cecile Proust-Lima [aut, cre], Viviane Philipps [aut], Amadou Diakite [ctb], Benoit Liquet [ctb], Alan Genz [ctb] , John Burkardt [ctb]
Maintainer: Cecile Proust-Lima <cecile.proust-lima@inserm.fr>

Diff between lcmm versions 2.1.0 dated 2023-10-06 and 2.2.0 dated 2025-02-03

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New package MplusLGM with initial version 1.0.0
Package: MplusLGM
Title: Automate Latent Growth Mixture Modelling in 'Mplus'
Version: 1.0.0
Description: Provide a suite of functions for conducting and automating Latent Growth Modeling (LGM) in 'Mplus', including Growth Curve Model (GCM), Growth-Based Trajectory Model (GBTM) and Latent Class Growth Analysis (LCGA). The package builds upon the capabilities of the 'MplusAutomation' package (Hallquist & Wiley, 2018) to streamline large-scale latent variable analyses. “MplusAutomation: An R Package for Facilitating Large-Scale Latent Variable Analyses in Mplus.” Structural Equation Modeling, 25(4), 621–638. <doi:10.1080/10705511.2017.1402334> The workflow implemented in this package follows the recommendations outlined in Van Der Nest et al. (2020). “An Overview of Mixture Modeling for Latent Evolutions in Longitudinal Data: Modeling Approaches, Fit Statistics, and Software.” Advances in Life Course Research, 43, Article 100323. <doi:10.1016/j.alcr.2019.100323>.
Depends: R (>= 4.1.0),
License: GPL (>= 3)
Imports: MplusAutomation, magrittr, tibble, dplyr, tidyr, tidyselect, stringr, purrr, ggplot2, glue, parallel
Encoding: UTF-8
URL: https://github.com/OlivierPDS/MplusLGM
BugReports: https://github.com/OlivierPDS/MplusLGM/issues
LazyData: true
NeedsCompilation: no
Packaged: 2025-02-01 20:20:08 UTC; olivierpercie
Author: Olivier Percie du Sert [aut, cre, cph] , Joshua Unrau [aut]
Maintainer: Olivier Percie du Sert <olivier.perciedusert@mail.mcgill.ca>
Repository: CRAN
Date/Publication: 2025-02-03 12:20:02 UTC

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New package writer with initial version 0.1.0
Package: writer
Title: Write from Multiple Sources to a Database Table
Version: 0.1.0
Description: Provides unified syntax to write data from lazy 'dplyr' 'tbl' or 'dplyr' 'sql' query or a dataframe to a database table with modes such as create, append, insert, update, upsert, patch, delete, overwrite, overwrite_schema.
License: LGPL (>= 3)
Imports: DBI (>= 1.2.3), dplyr (>= 1.1.0), dbplyr (>= 2.3.1), glue (>= 1.5.1), cli (>= 3.4.0), rlang (>= 1.1.2)
Suggests: RSQLite, testthat (>= 3.0.0),
URL: https://github.com/talegari/writer
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-31 18:22:17 UTC; srikanth-ks1
Author: Komala Sheshachala Srikanth [aut, cre]
Maintainer: Komala Sheshachala Srikanth <sri.teach@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-03 11:40:02 UTC

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New package resumiR with initial version 1.0.2
Package: resumiR
Title: Medidas Resumen y Tablas de Frecuencia para Datos Numéricos / Summary Measures and Frequency Tables for Numerical Data
Version: 1.0.2
Maintainer: Juan Manuel Solis <juanmasolis@fca.unju.edu.ar>
URL: https://github.com/juanMaSolisJujuy/resumiR
Description: Permite obtener rápidamente una serie de medidas de resumen y gráficos para datos numéricos discretos o continuos en series simples. También permite obtener tablas de frecuencia clásicas y gráficos cuando se desea realizar un análisis de series agrupadas. Su objetivo es de aplicación didáctica para un curso introductorio de Bioestadística utilizando el software R, para las carreras de grado las carreras de grado y otras ofertas educativas de la Facultad de Ciencias Agrarias de la UNJu / It generates summary measures and graphs for discrete or continuous numerical data in simple series. It also enables the creation of classic frequency tables and graphs when analyzing grouped series. Its purpose is for educational application in an introductory Biostatistics course using the R software, aimed at undergraduate programs and other educational offerings of the Faculty of Agricultural Sciences at the National University of Jujuy (UNJu).
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
Language: es
Imports: ggplot2, tibble
NeedsCompilation: no
Packaged: 2025-01-31 16:03:06 UTC; usuario
Author: Juan Manuel Solis [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-02-03 11:30:02 UTC

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New package OPL with initial version 1.0.0
Package: OPL
Title: Optimal Policy Learning
Version: 1.0.0
Author: Federico Brogi [aut, cre], Barbara Guardabascio [aut], Giovanni Cerulli [aut]
Maintainer: Federico Brogi <federicobrogi@gmail.com>
Description: Provides functions for optimal policy learning in socioeconomic applications helping users to learn the most effective policies based on data in order to maximize empirical welfare. Specifically, 'OPL' allows to find "treatment assignment rules" that maximize the overall welfare, defined as the sum of the policy effects estimated over all the policy beneficiaries. Documentation about 'OPL' is provided by several international articles via Athey et al (2021, <doi:10.3982/ECTA15732>), Kitagawa et al (2018, <doi:10.3982/ECTA13288>), Cerulli (2022, <doi:10.1080/13504851.2022.2032577>), the paper by Cerulli (201, <doi:10.1080/13504851.2020.1820939>) and the book by Gareth et al (2013, <doi:10.1007/978-1-4614-7138-7>).
License: GPL-3
Encoding: UTF-8
Imports: stats, dplyr, ggplot2, pander, randomForest, tidyr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-31 20:54:44 UTC; UTENTE
Repository: CRAN
Date/Publication: 2025-02-03 12:00:05 UTC

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New package gimap with initial version 1.0.1
Package: gimap
Title: Calculate Genetic Interactions for Paired CRISPR Targets
Version: 1.0.1
Description: Helps find meaningful patterns in complex genetic experiments. First gimap takes data from paired CRISPR (Clustered regularly interspaced short palindromic repeats) screens that has been pre-processed to counts table of paired gRNA (guide Ribonucleic Acid) reads. The input data will have cell counts for how well cells grow (or don't grow) when different genes or pairs of genes are disabled. The output of the 'gimap' package is genetic interaction scores which are the distance between the observed CRISPR score and the expected CRISPR score. The expected CRISPR scores are what we expect for the CRISPR values to be for two unrelated genes. The further away an observed CRISPR score is from its expected score the more we suspect genetic interaction. The work in this package is based off of original research from the Alice Berger lab at Fred Hutchinson Cancer Center (2021) <doi:10.1016/j.celrep.2021.109597>.
License: GPL-3
URL: https://github.com/FredHutch/gimap
BugReports: https://github.com/FredHutch/gimap/issues
Imports: readr, dplyr, tidyr, rmarkdown, vroom, ggplot2, magrittr, pheatmap, purrr, janitor, broom, utils, stats, stringr, httr, jsonlite, openssl
Suggests: testthat (>= 3.0.0), roxygen2, kableExtra, knitr
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-31 19:15:48 UTC; candacesavonen
Author: Candace Savonen [aut, cre], Phoebe Parrish [aut], Kate Isaac [aut], Howard Baek [aut], Daniel Grosso [aut], Siobhan O'Brien [aut], Alice Berger [aut]
Maintainer: Candace Savonen <cansav09@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-02-03 11:50:03 UTC

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New package autoimport with initial version 0.1.1
Package: autoimport
Version: 0.1.1
Title: Automatic Generation of @importFrom Tags
Description: A toolbox to read all R files inside a package and automatically generate @importFrom 'roxygen2' tags in the right place. Includes a 'shiny' application to review the changes before applying them.
License: GPL-3
URL: https://github.com/DanChaltiel/autoimport, https://danchaltiel.github.io/autoimport/
BugReports: https://github.com/DanChaltiel/autoimport/issues
Depends: R (>= 3.6.0)
Imports: cli, desc, diffviewer, digest, dplyr, fs, glue, purrr, readr, rlang, shiny, stringr, tibble, tidyr, utils
Suggests: callr, covr, devtools, knitr, pkgload, rstudioapi, testthat (>= 3.0.0), tidyverse
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-02-01 09:31:57 UTC; Dan
Author: Dan Chaltiel [aut, cre]
Maintainer: Dan Chaltiel <dan.chaltiel@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-03 12:00:02 UTC

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New package timeplyr with initial version 1.0.0
Package: timeplyr
Title: Fast Tidy Tools for Date and Date-Time Manipulation
Version: 1.0.0
Description: A set of fast tidy functions for wrangling, completing and summarising date and date-time data. It combines 'tidyverse' syntax with the efficiency of 'data.table' and speed of 'collapse'.
License: GPL (>= 2)
BugReports: https://github.com/NicChr/timeplyr/issues
Depends: R (>= 4.0.0)
Imports: cheapr (>= 1.0.0), cli, collapse (>= 2.0.0), cppdoubles (>= 0.2.0), data.table (>= 1.14.8), dplyr (>= 1.1.0), fastplyr (>= 0.5.0), ggplot2 (>= 3.4.0), lifecycle, lubridate (>= 1.9.0), pillar (>= 1.7.0), rlang (>= 1.0.0), scales, stringr (>= 1.4.0), tidyselect (>= 1.2.0), timechange (>= 0.2.0), vctrs (>= 0.6.0)
Suggests: bench, knitr, nycflights13, outbreaks, rmarkdown, testthat (>= 3.0.0), tidyr, zoo
LinkingTo: cpp11
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-02-01 11:00:22 UTC; Nmc5
Author: Nick Christofides [aut, cre]
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-03 09:10:02 UTC

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Package RStoolbox updated to version 1.0.2.1 with previous version 1.0.1 dated 2025-02-01

Title: Remote Sensing Data Analysis
Description: Toolbox for remote sensing image processing and analysis such as calculating spectral indexes, principal component transformation, unsupervised and supervised classification or fractional cover analyses.
Author: Benjamin Leutner [aut] , Ned Horning [aut], Jakob Schwalb-Willmann [aut] , Robert J. Hijmans [ctb] , Konstantin Mueller [aut, cre]
Maintainer: Konstantin Mueller <konstantinfinn.mueller@gmx.de>

Diff between RStoolbox versions 1.0.1 dated 2025-02-01 and 1.0.2.1 dated 2025-02-03

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Package poweRlaw updated to version 1.0.0 with previous version 0.80.0 dated 2024-01-25

Title: Analysis of Heavy Tailed Distributions
Description: An implementation of maximum likelihood estimators for a variety of heavy tailed distributions, including both the discrete and continuous power law distributions. Additionally, a goodness-of-fit based approach is used to estimate the lower cut-off for the scaling region.
Author: Colin Gillespie [aut, cre]
Maintainer: Colin Gillespie <csgillespie@gmail.com>

Diff between poweRlaw versions 0.80.0 dated 2024-01-25 and 1.0.0 dated 2025-02-03

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Package mltest updated to version 1.0.3 with previous version 1.0.2 dated 2025-02-02

Title: Classification Evaluation Metrics
Description: A fast, robust and easy-to-use calculation of multi-class classification evaluation metrics based on confusion matrix.
Author: G. Dudnik [aut, cre, cph]
Maintainer: G. Dudnik <gl.dudnik@gmail.com>

Diff between mltest versions 1.0.2 dated 2025-02-02 and 1.0.3 dated 2025-02-03

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Package datacutr updated to version 0.2.3 with previous version 0.2.2 dated 2025-01-10

Title: SDTM Datacut
Description: Supports the process of applying a cut to Standard Data Tabulation Model (SDTM), as part of the analysis of specific points in time of the data, normally as part of investigation into clinical trials. The functions support different approaches of cutting to the different domains of SDTM normally observed.
Author: Tim Barnett [cph, aut, cre], Nathan Rees [aut], Alana Harris [aut], Cara Andrews [aut]
Maintainer: Tim Barnett <timothy.barnett@roche.com>

Diff between datacutr versions 0.2.2 dated 2025-01-10 and 0.2.3 dated 2025-02-03

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Package rayvertex updated to version 0.12.0 with previous version 0.11.4 dated 2024-07-22

Title: 3D Software Rasterizer
Description: Rasterize images using a 3D software renderer. 3D scenes are created either by importing external files, building scenes out of the included objects, or by constructing meshes manually. Supports point and directional lights, anti-aliased lines, shadow mapping, transparent objects, translucent objects, multiple materials types, reflection, refraction, environment maps, multicore rendering, bloom, tone-mapping, and screen-space ambient occlusion.
Author: Tyler Morgan-Wall [aut, cph, cre] , Syoyo Fujita [ctb, cph], Vilya Harvey [ctb, cph], G-Truc Creation [ctb, cph], Sean Barrett [ctb, cph]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

Diff between rayvertex versions 0.11.4 dated 2024-07-22 and 0.12.0 dated 2025-02-03

 DESCRIPTION               |   14 ++---
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Package petersenlab updated to version 1.1.0 with previous version 1.0.0 dated 2024-04-30

Title: A Collection of R Functions by the Petersen Lab
Description: A collection of R functions that are widely used by the Petersen Lab. Included are functions for various purposes, including evaluating the accuracy of judgments and predictions, performing scoring of assessments, generating correlation matrices, conversion of data between various types, data management, psychometric evaluation, extensions related to latent variable modeling, various plotting capabilities, and other miscellaneous useful functions. By making the package available, we hope to make our methods reproducible and replicable by others and to help others perform their data processing and analysis methods more easily and efficiently. The codebase is provided in Petersen (2024) <doi:10.5281/zenodo.7602890> and on CRAN: <doi: 10.32614/CRAN.package.petersenlab>. The package is described in "Principles of Psychological Assessment: With Applied Examples in R" (Petersen, 2024, 2025) <doi:10.1201/9781003357421>, <doi:10.25820/work.007199>, <doi:10.5281/zenod [...truncated...]
Author: Isaac T. Petersen [aut, cre] , Developmental Psychopathology Lab at the University of Iowa [ctb], Angela D. Staples [ctb] , Johanna Caskey [ctb] , Philipp Doebler [ctb] , Loreen Sabel [ctb]
Maintainer: Isaac T. Petersen <isaac-t-petersen@uiowa.edu>

Diff between petersenlab versions 1.0.0 dated 2024-04-30 and 1.1.0 dated 2025-02-03

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Package ocf updated to version 1.0.3 with previous version 1.0.1 dated 2024-09-25

Title: Ordered Correlation Forest
Description: Machine learning estimator specifically optimized for predictive modeling of ordered non-numeric outcomes. 'ocf' provides forest-based estimation of the conditional choice probabilities and the covariates’ marginal effects. Under an "honesty" condition, the estimates are consistent and asymptotically normal and standard errors can be obtained by leveraging the weight-based representation of the random forest predictions. Please reference the use as Di Francesco (2025) <doi:10.1080/07474938.2024.2429596>.
Author: Riccardo Di Francesco [aut, cre, cph]
Maintainer: Riccardo Di Francesco <difrancesco.riccardo96@gmail.com>

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Package BiostatsUHNplus updated to version 1.0.2 with previous version 1.0.1 dated 2024-12-06

Title: Nested Data Summary, Adverse Events and REDCap
Description: Tools and code snippets for summarizing nested data, adverse events and REDCap study information.
Author: Lisa Avery [aut] , Zeynep Baskurt [aut], Osvaldo Espin-Garcia [aut], Katrina Hueniken [aut], Katherine Lajkosz [aut] , Xuan Li [aut], Tyler Pittman [cre, aut] , Anna Santiago [aut] , Jessica Weiss [aut], Wei Xu [aut]
Maintainer: Tyler Pittman <tyler.pittman@uhn.ca>

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Package quickcode updated to version 1.0.5 with previous version 1.0.4 dated 2025-01-14

Title: Quick and Essential 'R' Tricks for Better Scripts
Description: The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to improve your scripts. Improve the quality and reproducibility of 'R' scripts.
Author: Obinna Obianom [aut, cre], Brice Richard [aut]
Maintainer: Obinna Obianom <idonshayo@gmail.com>

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Package sharpshootR (with last version 2.3.2) was removed from CRAN

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

2024-10-22 2.3.2
2024-05-29 2.3.1
2024-04-08 2.3
2023-08-24 2.2
2023-03-22 2.1
2023-01-06 2.0
2022-12-09 1.12
2022-10-04 1.11
2022-01-04 1.9
2021-12-21 1.8.4
2021-09-07 1.8.2
2021-05-04 1.8.1

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Package MRS (with last version 1.2.6) was removed from CRAN

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

2023-12-11 1.2.6
2023-12-09 1.2.5
2018-01-23 1.2.4
2018-01-07 1.2.3
2017-10-17 1.2.2
2016-07-21 1.2.1
2016-07-17 1.2
2016-07-10 1.1.1
2016-01-25 1.1
2015-12-07 1.0

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Sun, 02 Feb 2025

Package shinyAce updated to version 0.4.4 with previous version 0.4.3 dated 2024-10-18

Title: Ace Editor Bindings for Shiny
Description: Ace editor bindings to enable a rich text editing environment within Shiny.
Author: Vincent Nijs [aut, cre], Forest Fang [aut], Trestle Technology, LLC [aut], Jeff Allen [aut], Institut de Radioprotection et de Surete Nucleaire [cph], Ajax.org B.V. [ctb, cph]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

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Package ProbBreed updated to version 1.0.4.5 with previous version 1.0.4.4 dated 2024-11-10

Title: Probability Theory for Selecting Candidates in Plant Breeding
Description: Use probability theory under the Bayesian framework for calculating the risk of selecting candidates in a multi-environment context. Contained are functions used to fit a Bayesian multi-environment model (based on the available presets), extract posterior values and maximum posterior values, compute the variance components, check the model’s convergence, and calculate the probabilities. For both across and within-environments scopes, the package computes the probability of superior performance and the pairwise probability of superior performance. Furthermore, the probability of superior stability and the pairwise probability of superior stability across environments is estimated. A joint probability of superior performance and stability is also provided.
Author: Saulo Chaves [aut, cre] , Kaio Dias [aut, cph] , Matheus Krause [aut]
Maintainer: Saulo Chaves <saulo.chaves@ufv.br>

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Package Rborist updated to version 0.3-11 with previous version 0.3-7 dated 2024-01-15

Title: Extensible, Parallelizable Implementation of the Random Forest Algorithm
Description: Scalable implementation of classification and regression forests, as described by Breiman (2001), <DOI:10.1023/A:1010933404324>.
Author: Mark Seligman [aut, cre]
Maintainer: Mark Seligman <mseligman@suiji.org>

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Package photobiology updated to version 0.12.0 with previous version 0.11.4 dated 2024-11-30

Title: Photobiological Calculations
Description: Definitions of classes, methods, operators and functions for use in photobiology and radiation meteorology and climatology. Calculation of effective (weighted) and not-weighted irradiances/doses, fluence rates, transmittance, reflectance, absorptance, absorbance and diverse ratios and other derived quantities from spectral data. Local maxima and minima: peaks, valleys and spikes. Conversion between energy-and photon-based units. Wavelength interpolation. Astronomical calculations related solar angles and day length. Colours and vision. This package is part of the 'r4photobiology' suite, Aphalo, P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] , Titta K. Kotilainen [ctb] , Glenn Davis [ctb], Agnese Fazio [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package V8 updated to version 6.0.1 with previous version 6.0.0 dated 2024-10-12

Title: Embedded JavaScript and WebAssembly Engine for R
Description: An R interface to V8 <https://v8.dev>: Google's open source JavaScript and WebAssembly engine. This package can be compiled either with V8 version 6 and up or NodeJS when built as a shared library.
Author: Jeroen Ooms [aut, cre] , Jan Marvin Garbuszus [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between V8 versions 6.0.0 dated 2024-10-12 and 6.0.1 dated 2025-02-02

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Package ggsem updated to version 0.2.4 with previous version 0.2.3 dated 2025-01-27

Title: Interactively Visualize Structural Equation Modeling Diagrams
Description: It is an R package and web-based application, allowing users to perform interactive and reproducible visualizations of path diagrams for structural equation modeling (SEM) and networks using the 'ggplot2' engine. Its app (built with 'shiny') provides an interface that allows extensive customization, and creates CSV outputs, which can then be used to recreate the figures either using the web app or script-based workflow.
Author: Seung Hyun Min [aut, cre]
Maintainer: Seung Hyun Min <seung.min@mail.mcgill.ca>

Diff between ggsem versions 0.2.3 dated 2025-01-27 and 0.2.4 dated 2025-02-02

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New package enrichR with initial version 3.4
Package: enrichR
Title: Provides an R Interface to 'Enrichr'
Version: 3.4
Description: Provides an R interface to all 'Enrichr' databases. 'Enrichr' is a web-based tool for analysing gene sets and returns any enrichment of common annotated biological features. Quoting from their website 'Enrichment analysis is a computational method for inferring knowledge about an input gene set by comparing it to annotated gene sets representing prior biological knowledge.' See <https://maayanlab.cloud/Enrichr/> for further details.
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: httr, curl, rjson, ggplot2, WriteXLS
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-02-02 17:17:05 UTC; wajid
Author: Wajid Jawaid [aut, cre]
Maintainer: Wajid Jawaid <wajid.jawaid@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-02 22:50:06 UTC

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Package bbk updated to version 0.6.0 with previous version 0.5.0 dated 2024-12-02

Title: Client for Central Bank APIs
Description: A client for retrieving data and metadata from major central bank APIs. It supports access to the 'Bundesbank SDMX Web Service API' (<https://www.bundesbank.de/en/statistics/time-series-databases/help-for-sdmx-web-service/web-service-interface-data>), the 'Swiss National Bank Data Portal' (<https://data.snb.ch/en>), and the 'European Central Bank Data Portal API' (<https://data.ecb.europa.eu/help/api/overview>).
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package mltest updated to version 1.0.2 with previous version 1.0.1 dated 2018-11-16

Title: Classification Evaluation Metrics
Description: A fast, robust and easy-to-use calculation of multi-class classification evaluation metrics based on confusion matrix.
Author: G. Dudnik [aut, cre, cph]
Maintainer: G. Dudnik <gl.dudnik@gmail.com>

Diff between mltest versions 1.0.1 dated 2018-11-16 and 1.0.2 dated 2025-02-02

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Package testDriveR updated to version 0.5.3 with previous version 0.5.2 dated 2022-05-29

Title: Teaching Data for Statistics and Data Science
Description: Provides data sets for teaching statistics and data science courses. It includes a sample of data from John Edmund Kerrich's famous coinflip experiment. These are data that I used for statistics. The package also contains an R Markdown template with the required formatting for assignments in my former courses.
Author: Christopher Prener [aut, cre] , Bill Bradley [dtc], NORC at the University of Chicago [dtc], UN Inter-agency Group for Child Mortality Estimation [dtc], U.S. Department of Energy [dtc]
Maintainer: Christopher Prener <chris.prener@gmail.com>

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Package photobiologyInOut updated to version 0.4.30 with previous version 0.4.29 dated 2024-11-22

Title: Read Spectral and Logged Data from Foreign Files
Description: Functions for reading, and in some cases writing, foreign files containing spectral data from spectrometers and their associated software, output from daylight simulation models in common use, and some spectral data repositories. As well as functions for exchange of spectral data with other R packages. Part of the 'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] , Titta K. Kotilainen [ctb] , Glenn Davis [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package misty updated to version 0.7.0 with previous version 0.6.8 dated 2024-10-24

Title: Miscellaneous Functions 'T. Yanagida'
Description: Miscellaneous functions for (1) data management (e.g., grand-mean and group-mean centering, coding variables and reverse coding items, scale and cluster scores, reading and writing Excel and SPSS files), (2) descriptive statistics (e.g., frequency table, cross tabulation, effect size measures), (3) missing data (e.g., descriptive statistics for missing data, missing data pattern, Little's test of Missing Completely at Random, and auxiliary variable analysis), (4) multilevel data (e.g., multilevel descriptive statistics, within-group and between-group correlation matrix, multilevel confirmatory factor analysis, level-specific fit indices, cross-level measurement equivalence evaluation, multilevel composite reliability, and multilevel R-squared measures), (5) item analysis (e.g., confirmatory factor analysis, coefficient alpha and omega, between-group and longitudinal measurement equivalence evaluation), (6) statistical analysis (e.g., bootstrap confidence intervals, collinearity and res [...truncated...]
Author: Takuya Yanagida [aut, cre]
Maintainer: Takuya Yanagida <takuya.yanagida@univie.ac.at>

Diff between misty versions 0.6.8 dated 2024-10-24 and 0.7.0 dated 2025-02-02

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Package modelsummary updated to version 2.3.0 with previous version 2.2.0 dated 2024-09-02

Title: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready
Description: Create beautiful and customizable tables to summarize several statistical models side-by-side. Draw coefficient plots, multi-level cross-tabs, dataset summaries, balance tables (a.k.a. "Table 1s"), and correlation matrices. This package supports dozens of statistical models, and it can produce tables in HTML, LaTeX, Word, Markdown, PDF, PowerPoint, Excel, RTF, JPG, or PNG. Tables can easily be embedded in 'Rmarkdown' or 'knitr' dynamic documents. Details can be found in Arel-Bundock (2022) <doi:10.18637/jss.v103.i01>.
Author: Vincent Arel-Bundock [aut, cre] , Joachim Gassen [ctb] , Nathan Eastwood [ctb], Nick Huntington-Klein [ctb] , Moritz Schwarz [ctb] , Benjamin Elbers [ctb] , Grant McDermott [ctb] , Lukas Wallrich [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package ablasso updated to version 1.1 with previous version 1.0 dated 2024-05-03

Title: Arellano-Bond LASSO Estimator for Dynamic Linear Panel Models
Description: Implements the Arellano-Bond estimation method combined with LASSO for dynamic linear panel models. See Chernozhukov et al. (2024) "Arellano-Bond LASSO Estimator for Dynamic Linear Panel Models". arXiv preprint <doi:10.48550/arXiv.2402.00584>.
Author: Victor Chernozhukov [aut], Ivan Fernandez-Val [aut], Chen Huang [aut], Weining Wang [aut], Junyu Chen [cre]
Maintainer: Junyu Chen <junyu.chen@outlook.de>

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Package scientific updated to version 2025.0 with previous version 2024.2 dated 2024-05-08

Title: Two Highly Customizable 'rmarkdown' Themes for Scientific Reports
Description: Offers 'markdown' output formats designed with various styles, allowing users to generate HTML reports tailored for scientific or machine learning showcase. The output has a contemporary appearance with vibrant visuals, providing numerous styles for effective highlighting. Created using the 'tufte' <https://rstudio.github.io/tufte/> package code as a starting point.
Author: Obinna Obianom [aut, cre]
Maintainer: Obinna Obianom <idonshayo@gmail.com>

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Package TDA updated to version 1.9.4 with previous version 1.9.1 dated 2024-01-24

Title: Statistical Tools for Topological Data Analysis
Description: Tools for Topological Data Analysis. The package focuses on statistical analysis of persistent homology and density clustering. For that, this package provides an R interface for the efficient algorithms of the C++ libraries 'GUDHI' <https://project.inria.fr/gudhi/software/>, 'Dionysus' <https://www.mrzv.org/software/dionysus/>, and 'PHAT' <https://bitbucket.org/phat-code/phat/>. This package also implements methods from Fasy et al. (2014) <doi:10.1214/14-AOS1252> and Chazal et al. (2015) <doi:10.20382/jocg.v6i2a8> for analyzing the statistical significance of persistent homology features.
Author: Brittany T. Fasy [aut], Jisu Kim [aut, cre], Fabrizio Lecci [aut], Clement Maria [aut], David L. Millman [aut], Vincent Rouvreau. [aut]
Maintainer: Jisu Kim <jkim82133@snu.ac.kr>

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Package mathml updated to version 1.3 with previous version 1.2 dated 2023-07-15

Title: Translate R Expressions to 'MathML' and 'LaTeX'/'MathJax'
Description: Translate R expressions to 'MathML' or 'MathJax'/'LaTeX' so that they can be rendered in R markdown documents and shiny apps. This package depends on R package 'rolog', which requires an installation of the 'SWI'-'Prolog' runtime either from 'swi-prolog.org' or from R package 'rswipl'.
Author: Matthias Gondan [aut, cre, cph] , Irene Alfarone [aut] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

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Package dsem updated to version 1.4.1 with previous version 1.4.0 dated 2025-01-13

Title: Fit Dynamic Structural Equation Models
Description: Applies dynamic structural equation models to time-series data with generic and simplified specification for simultaneous and lagged effects. Methods are described in Thorson et al. (2024) "Dynamic structural equation models synthesize ecosystem dynamics constrained by ecological mechanisms."
Author: James Thorson [aut, cre] , Maurice Goodman [ctb]
Maintainer: James Thorson <James.Thorson@noaa.gov>

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Package MazamaSpatialPlots updated to version 0.3.0 with previous version 0.2.0 dated 2022-11-15

Title: Thematic Plots for Mazama Spatial Datasets
Description: A suite of convenience functions for generating US state and county thematic maps using datasets from the MazamaSpatialUtils package.
Author: Jonathan Callahan [aut, cre], Rachel Carroll [aut], Eli Grosman [aut]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

Diff between MazamaSpatialPlots versions 0.2.0 dated 2022-11-15 and 0.3.0 dated 2025-02-01

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Package traj updated to version 2.2.1 with previous version 2.2.0 dated 2024-07-04

Title: Clustering of Functional Data Based on Measures of Change
Description: Implements a three-step procedure in the spirit of Leffondre et al. (2004) to identify clusters of individual longitudinal trajectories. The procedure involves (1) computing a number of "measures of change" capturing various features of the trajectories; (2) using a Principal Component Analysis based dimension reduction algorithm to select a subset of measures and (3) using the k-medoids or k-means algorithm to identify clusters of trajectories.
Author: Marie-Pierre Sylvestre [aut], Laurence Boulanger [aut, cre], Gillis Delmas Tchouangue Dinkou [ctb], Dan Vatnik [ctb]
Maintainer: Laurence Boulanger <laurence.boulanger@umontreal.ca>

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Package RStoolbox updated to version 1.0.2 with previous version 1.0.1 dated 2025-02-01

Title: Remote Sensing Data Analysis
Description: Toolbox for remote sensing image processing and analysis such as calculating spectral indexes, principal component transformation, unsupervised and supervised classification or fractional cover analyses.
Author: Benjamin Leutner [aut] , Ned Horning [aut], Jakob Schwalb-Willmann [aut] , Robert J. Hijmans [ctb] , Konstantin Mueller [aut, cre]
Maintainer: Konstantin Mueller <konstantinfinn.mueller@gmx.de>

Diff between RStoolbox versions 1.0.1 dated 2025-02-01 and 1.0.2 dated 2025-02-01

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Package rempsyc updated to version 0.1.9 with previous version 0.1.8 dated 2024-07-01

Title: Convenience Functions for Psychology
Description: Make your workflow faster and easier. Easily customizable plots (via 'ggplot2'), nice APA tables (following the style of the *American Psychological Association*) exportable to Word (via 'flextable'), easily run statistical tests or check assumptions, and automatize various other tasks.
Author: Remi Theriault [aut, cre]
Maintainer: Remi Theriault <remi.theriault@mail.mcgill.ca>

Diff between rempsyc versions 0.1.8 dated 2024-07-01 and 0.1.9 dated 2025-02-01

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New package RegrCoeffsExplorer with initial version 1.2.0
Package: RegrCoeffsExplorer
Title: Efficient Visualization of Regression Coefficients for Lm(), Glm(), and Glmnet() Objects
Version: 1.2.0
Imports: dplyr, ggpubr, gridExtra, glmnet, ggplot2, magrittr, grDevices, rlang, stats
Description: The visualization tool offers a nuanced understanding of regression dynamics, going beyond traditional per-unit interpretation of continuous variables versus categorical ones. It highlights the impact of unit changes as well as larger shifts like interquartile changes, acknowledging the distribution of empirical data. Furthermore, it generates visualizations depicting alterations in Odds Ratios for predictors across minimum, first quartile, median, third quartile, and maximum values, aiding in comprehending predictor-outcome interplay within empirical data distributions, particularly in logistic regression frameworks.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: faraway, knitr, MASS, psych, rmarkdown, selectiveInference, survival
URL: https://vadimtyuryaev.github.io/RegrCoeffsExplorer/
NeedsCompilation: no
Packaged: 2025-02-01 19:05:53 UTC; vadim
Author: Vadim Tyuryaev [aut, cre] , Aleksandr Tsybakin [aut], Jane Heffernan [aut], Hanna Jankowski [aut], Kevin McGregor [aut]
Maintainer: Vadim Tyuryaev <vadim.tyuryaev@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-01 23:40:10 UTC

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Package zip updated to version 2.3.2 with previous version 2.3.1 dated 2024-01-27

Title: Cross-Platform 'zip' Compression
Description: Cross-Platform 'zip' Compression Library. A replacement for the 'zip' function, that does not require any additional external tools on any platform.
Author: Gabor Csardi [aut, cre], Kuba Podgorski [ctb], Rich Geldreich [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between zip versions 2.3.1 dated 2024-01-27 and 2.3.2 dated 2025-02-01

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Package SLOPE updated to version 0.5.2 with previous version 0.5.1 dated 2024-07-09

Title: Sorted L1 Penalized Estimation
Description: Efficient implementations for Sorted L-One Penalized Estimation (SLOPE): generalized linear models regularized with the sorted L1-norm (Bogdan et al. 2015). Supported models include ordinary least-squares regression, binomial regression, multinomial regression, and Poisson regression. Both dense and sparse predictor matrices are supported. In addition, the package features predictor screening rules that enable fast and efficient solutions to high-dimensional problems.
Author: Johan Larsson [aut, cre] , Jonas Wallin [aut] , Malgorzata Bogdan [aut], Ewout van den Berg [aut], Chiara Sabatti [aut], Emmanuel Candes [aut], Evan Patterson [aut], Weijie Su [aut], Jakub Kala [aut], Krystyna Grzesiak [aut], Michal Burdukiewicz [aut [...truncated...]
Maintainer: Johan Larsson <johanlarsson@outlook.com>

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Package rayimage updated to version 0.15.1 with previous version 0.11.0 dated 2024-07-13

Title: Image Processing for Simulated Cameras
Description: Uses convolution-based techniques to generate simulated camera bokeh, depth of field, and other camera effects, using an image and an optional depth map. Accepts both filename inputs and in-memory array representations of images and matrices. Includes functions to perform 2D convolutions, reorient and resize images/matrices, add image and text overlays, generate camera vignette effects, and add titles to images.
Author: Tyler Morgan-Wall [aut, cph, cre] , Sean Barrett [ctb, cph]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

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Package pooledpeaks updated to version 1.1.0 with previous version 1.0.7 dated 2024-11-19

Title: Genetic Analysis of Pooled Samples
Description: Analyzing genetic data obtained from pooled samples. This package can read in Fragment Analysis output files, process the data, and score peaks, as well as facilitate various analyses, including cluster analysis, calculation of genetic distances and diversity indices, as well as bootstrap resampling for statistical inference. Specifically tailored to handle genetic data efficiently, researchers can explore population structure, genetic differentiation, and genetic relatedness among samples. We updated some functions from Covarrubias-Pazaran et al. (2016) <doi:10.1186/s12863-016-0365-6> to allow for the use of new file formats and referenced the following to write our genetic analysis functions: Long et al. (2022) <doi:10.1038/s41598-022-04776-0>, Jost (2008) <doi:10.1111/j.1365-294x.2008.03887.x>, Nei (1973) <doi:10.1073/pnas.70.12.3321>, Foulley et al. (2006) <doi:10.1016/j.livprodsci.2005.10.021>, Chao et al. (2008) <doi:10.1111/j.1541-0420.2008.01010 [...truncated...]
Author: Kathleen Kuesters [aut, cre, cph] , Jeffrey Long [aut], Jessica Blanton [aut], Walter Blank [ctb], Jeffrey Kovach [ctb], Ronald Blanton [ctb]
Maintainer: Kathleen Kuesters <kathleen.kuesters@gmail.com>

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Package fbati updated to version 1.0-11 with previous version 1.0-9 dated 2024-02-02

Title: Gene by Environment Interaction and Conditional Gene Tests for Nuclear Families
Description: Does family-based gene by environment interaction tests, joint gene, gene-environment interaction test, and a test of a set of genes conditional on another set of genes.
Author: Thomas Hoffmann [aut, cre]
Maintainer: Thomas Hoffmann <tjhoffm@gmail.com>

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Package cir updated to version 2.5.1 with previous version 2.5.0 dated 2024-12-02

Title: Centered Isotonic Regression and Dose-Response Utilities
Description: Isotonic regression (IR) and its improvement: centered isotonic regression (CIR). CIR is recommended in particular with small samples. Also, interval estimates for both, and additional utilities such as plotting dose-response data. For dev version and change history, see GitHub assaforon/cir.
Author: Assaf P. Oron [cre, aut]
Maintainer: Assaf P. Oron <assaf.oron@gmail.com>

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Package R2sample updated to version 3.0.0 with previous version 2.2.0 dated 2024-10-21

Title: Various Methods for the Two Sample Problem
Description: The routine twosample_test() in this package runs the two sample test using various test statistic. The p values are found via permutation or large sample theory. The routine twosample_power() allows the calculation of the power in various cases, and plot_power() draws the corresponding power graphs. The routine run.studies allows a user to quickly study the power of a new method and how it compares to some of the standard ones.
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>

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Package constrainedKriging updated to version 0.2-10 with previous version 0.2-9 dated 2025-01-07

Title: Constrained, Covariance-Matching Constrained and Universal Point or Block Kriging
Description: Provides functions for efficient computation of non-linear spatial predictions with local change of support (Hofer, C. and Papritz, A. (2011) "constrainedKriging: An R-package for customary, constrained and covariance-matching constrained point or block kriging" <doi:10.1016/j.cageo.2011.02.009>). This package supplies functions for two-dimensional spatial interpolation by constrained (Cressie, N. (1993) "Aggregation in geostatistical problems" <doi:10.1007/978-94-011-1739-5_3>), covariance-matching constrained (Aldworth, J. and Cressie, N. (2003) "Prediction of nonlinear spatial functionals" <doi:10.1016/S0378-3758(02)00321-X>) and universal (external drift) Kriging for points or blocks of any shape from data with a non-stationary mean function and an isotropic weakly stationary covariance function. The linear spatial interpolation methods, constrained and covariance-matching constrained Kriging, provide approximately unbiased prediction for non-linear target value [...truncated...]
Author: Christoph Hofer [aut], Andreas Papritz [ctb, cre]
Maintainer: Andreas Papritz <papritz@retired.ethz.ch>

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Package stars updated to version 0.6-8 with previous version 0.6-7 dated 2024-11-07

Title: Spatiotemporal Arrays, Raster and Vector Data Cubes
Description: Reading, manipulating, writing and plotting spatiotemporal arrays (raster and vector data cubes) in 'R', using 'GDAL' bindings provided by 'sf', and 'NetCDF' bindings by 'ncmeta' and 'RNetCDF'.
Author: Edzer Pebesma [aut, cre] , Michael Sumner [ctb] , Etienne Racine [ctb], Adriano Fantini [ctb], David Blodgett [ctb], Krzysztof Dyba [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package Rgof updated to version 3.0.0 with previous version 2.1.1 dated 2024-10-21

Title: 1d Goodness of Fit Tests
Description: Routines that allow the user to run a large number of goodness-of-fit tests. It allows for data to be continuous or discrete. It includes routines to estimate the power of the tests and display them as a power graph. The routine run.studies allows a user to quickly study the power of a new method and how it compares to some of the standard ones.
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>

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Package kgraph updated to version 1.0.1 with previous version 1.0.0 dated 2024-09-20

Title: Knowledge Graphs Constructions and Visualizations
Description: Knowledge graphs enable to efficiently visualize and gain insights into large-scale data analysis results, as p-values from multiple studies or embedding data matrices. The usual workflow is a user providing a data frame of association studies results and specifying target nodes, e.g. phenotypes, to visualize. The knowledge graph then shows all the features which are significantly associated with the phenotype, with the edges being proportional to the association scores. As the user adds several target nodes and grouping information about the nodes such as biological pathways, the construction of such graphs soon becomes complex. The 'kgraph' package aims to enable users to easily build such knowledge graphs, and provides two main features: first, to enable building a knowledge graph based on a data frame of concepts relationships, be it p-values or cosine similarities; second, to enable determining an appropriate cut-off on cosine similarities from a complete embedding matrix, to enab [...truncated...]
Author: Thomas Charlon [aut, cre] , Hongyi Yuan [ctb] , CELEHS [aut] , PARSE Health [aut]
Maintainer: Thomas Charlon <charlon@protonmail.com>

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Package distantia updated to version 2.0.2 with previous version 2.0.1 dated 2025-01-23

Title: Advanced Toolset for Efficient Time Series Dissimilarity Analysis
Description: Fast C++ implementation of Dynamic Time Warping for time series dissimilarity analysis, with applications in environmental monitoring and sensor data analysis, climate science, signal processing and pattern recognition, and financial data analysis. Built upon the ideas presented in Benito and Birks (2020) <doi:10.1111/ecog.04895>, provides tools for analyzing time series of varying lengths and structures, including irregular multivariate time series. Key features include individual variable contribution analysis, restricted permutation tests for statistical significance, and imputation of missing data via GAMs. Additionally, the package provides an ample set of tools to prepare and manage time series data.
Author: Blas M. Benito [aut, cre, cph]
Maintainer: Blas M. Benito <blasbenito@gmail.com>

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Package marginaleffects updated to version 0.25.0 with previous version 0.24.0 dated 2024-11-25

Title: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests
Description: Compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and machine learning models in R. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference. Details can be found in Arel-Bundock, Greifer, and Heiss (2024) <doi:10.18637/jss.v111.i09>.
Author: Vincent Arel-Bundock [aut, cre, cph] , Noah Greifer [ctb] , Etienne Bacher [ctb] , Grant McDermott [ctb] , Andrew Heiss [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package spEDM updated to version 1.3 with previous version 1.2 dated 2025-01-14

Title: Spatial Empirical Dynamic Modeling
Description: Inferring causal associations in cross-sectional earth system data with extensions to convergent cross mapping from Sugihara et al. (2012) <doi:10.1126/science.1227079> and partial cross mapping as described in Ma et al. (2020) <doi:10.1038/s41467-020-16238-0>.
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

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Package RcppSpdlog updated to version 0.0.20 with previous version 0.0.19 dated 2024-11-11

Title: R and C++ Interfaces to 'spdlog' C++ Header Library for Logging
Description: The mature and widely-used C++ logging library 'spdlog' by Gabi Melman provides many desirable features. This package bundles these header files for easy use by R packages from both their R and C or C++ code. Explicit use via 'LinkingTo:' is also supported. Also see the 'spdl' package which enhanced this package with a consistent R and C++ interface.
Author: Dirk Eddelbuettel [aut, cre] , Gabi Melman [aut] , Victor Zverovic [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppSpdlog versions 0.0.19 dated 2024-11-11 and 0.0.20 dated 2025-02-01

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Package HQM updated to version 1.0 with previous version 0.1.4 dated 2024-12-12

Title: Superefficient Estimation of Future Conditional Hazards Based on Marker Information
Description: Provides a nonparametric smoothed kernel estimator for the future conditional hazard rate function when time-dependent covariates are present, a bandwidth selector for the estimator's implementation and pointwise and uniform confidence bands. Methods used in the package refer to Bagkavos, Isakson, Mammen, Nielsen and Proust-Lima (2025) <doi:10.1093/biomet/asaf008>.
Author: Dimitrios Bagkavos [aut, cre], Alex Isakson [ctb], Enno Mammen [ctb], Jens Nielsen [ctb], Cecile Proust-Lima [ctb]
Maintainer: Dimitrios Bagkavos <dimitrios.bagkavos@gmail.com>

Diff between HQM versions 0.1.4 dated 2024-12-12 and 1.0 dated 2025-02-01

 DESCRIPTION |    8 ++++----
 MD5         |    2 +-
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Package cgmanalysis updated to version 3.0.1 with previous version 3.0 dated 2025-01-30

Title: Clean and Analyze Continuous Glucose Monitor Data
Description: This code provides several different functions for cleaning and analyzing continuous glucose monitor data. Currently it works with 'Dexcom', 'iPro 2', 'Diasend', 'Libre', or 'Carelink' data. The cleandata() function takes a directory of CGM data files and prepares them for analysis. cgmvariables() iterates through a directory of cleaned CGM data files and produces a single spreadsheet with data for each file in either rows or columns. The column format of this spreadsheet is compatible with REDCap data upload. cgmreport() also iterates through a directory of cleaned data, and produces PDFs of individual and aggregate AGP plots. Please visit <https://github.com/childhealthbiostatscore/R-Packages/> to download the new-user guide.
Author: Tim Vigers [aut, cre]
Maintainer: Tim Vigers <timothy.vigers@cuanschutz.edu>

Diff between cgmanalysis versions 3.0 dated 2025-01-30 and 3.0.1 dated 2025-02-01

 DESCRIPTION      |    6 +++---
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Package cvdprevent updated to version 0.2.1 with previous version 0.2.0 dated 2024-10-16

Title: Wrapper for the 'CVD Prevent' Application Programming Interface
Description: Provides an R wrapper to the 'CVD Prevent' application programming interface (API). Users can make API requests through built-in R functions. The Cardiovascular Disease Prevention Audit (CVDPREVENT) is an England-wide primary care audit that automatically extracts routinely held GP health data. <https://bmchealthdocs.atlassian.net/wiki/spaces/CP/pages/317882369/CVDPREVENT+API+Documentation>.
Author: Craig Parylo [aut, cre, cph] , Cardiovascular Disease Prevention Audit [ant]
Maintainer: Craig Parylo <craig.parylo2@nhs.net>

Diff between cvdprevent versions 0.2.0 dated 2024-10-16 and 0.2.1 dated 2025-02-01

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Package sp updated to version 2.2-0 with previous version 2.1-4 dated 2024-04-30

Title: Classes and Methods for Spatial Data
Description: Classes and methods for spatial data; the classes document where the spatial location information resides, for 2D or 3D data. Utility functions are provided, e.g. for plotting data as maps, spatial selection, as well as methods for retrieving coordinates, for subsetting, print, summary, etc. From this version, 'rgdal', 'maptools', and 'rgeos' are no longer used at all, see <https://r-spatial.org/r/2023/05/15/evolution4.html> for details.
Author: Edzer Pebesma [aut, cre], Roger Bivand [aut], Barry Rowlingson [ctb], Virgilio Gomez-Rubio [ctb], Robert Hijmans [ctb], Michael Sumner [ctb], Don MacQueen [ctb], Jim Lemon [ctb], Finn Lindgren [ctb], Josh O'Brien [ctb], Joseph O'Rourke [ctb], Patrick [...truncated...]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between sp versions 2.1-4 dated 2024-04-30 and 2.2-0 dated 2025-02-01

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Package RStoolbox updated to version 1.0.1 with previous version 1.0.0 dated 2024-04-25

Title: Remote Sensing Data Analysis
Description: Toolbox for remote sensing image processing and analysis such as calculating spectral indexes, principal component transformation, unsupervised and supervised classification or fractional cover analyses.
Author: Benjamin Leutner [aut] , Ned Horning [aut], Jakob Schwalb-Willmann [aut] , Robert J. Hijmans [ctb] , Konstantin Mueller [aut, cre]
Maintainer: Konstantin Mueller <konstantinfinn.mueller@gmx.de>

Diff between RStoolbox versions 1.0.0 dated 2024-04-25 and 1.0.1 dated 2025-02-01

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 tests/testthat/test-rasterCVA.R                                                   |   58 
 tests/testthat/test-rasterPCA.R                                                   |   60 
 tests/testthat/test-readEE.R                                                      |   26 
 tests/testthat/test-readMeta.R                                                    |   24 
 tests/testthat/test-rescaleImage.R                                                |   68 
 tests/testthat/test-rsOpts.R                                                      |   22 
 tests/testthat/test-sam.R                                                         |   70 
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 tests/testthat/test-stackMeta.R                                                   |   16 
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More information about RStoolbox at CRAN
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Fri, 31 Jan 2025

Package shinyCox updated to version 1.1.3 with previous version 1.1.2 dated 2024-12-08

Title: Create 'shiny' Applications for Cox Proportional Hazards Models
Description: Takes one or more fitted Cox proportional hazards models and writes a 'shiny' application to a directory specified by the user. The 'shiny' application displays predicted survival curves based on user input, and contains none of the original data used to create the Cox model or models. The goal is towards visualization and presentation of predicted survival curves.
Author: Harrison Clement [aut, cre], Subodh Selukar [aut], Stanley Pounds [aut], St Jude Children's Research Hospital [fnd]
Maintainer: Harrison Clement <harrisonclement16@gmail.com>

Diff between shinyCox versions 1.1.2 dated 2024-12-08 and 1.1.3 dated 2025-01-31

 DESCRIPTION         |    6 +++---
 MD5                 |   10 +++++-----
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Package zonohedra updated to version 0.4-0 with previous version 0.3-0 dated 2024-07-09

Title: Compute and Plot Zonohedra from Vector Generators
Description: Computes a zonohedron from real vector generators. The package also computes zonogons (2D zonotopes) and zonosegs (1D zonotopes). An elementary S3 class for matroids is included, which supports matroids with rank 3, 2, and 1. Optimization methods are taken from Heckbert (1985) <https://www.cs.cmu.edu/~ph/zono.ps.gz>.
Author: Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

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Package RRPP updated to version 2.1.0 with previous version 2.0.4 dated 2024-11-13

Title: Linear Model Evaluation with Randomized Residuals in a Permutation Procedure
Description: Linear model calculations are made for many random versions of data. Using residual randomization in a permutation procedure, sums of squares are calculated over many permutations to generate empirical probability distributions for evaluating model effects. This packaged is described by Collyer & Adams (2018). Additionally, coefficients, statistics, fitted values, and residuals generated over many permutations can be used for various procedures including pairwise tests, prediction, classification, and model comparison. This package should provide most tools one could need for the analysis of high-dimensional data, especially in ecology and evolutionary biology, but certainly other fields, as well.
Author: Michael Collyer [aut, cre] , Dean Adams [aut]
Maintainer: Michael Collyer <mlcollyer@gmail.com>

Diff between RRPP versions 2.0.4 dated 2024-11-13 and 2.1.0 dated 2025-01-31

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New package fedmatch with initial version 2.1.0
Package: fedmatch
Title: Fast, Flexible, and User-Friendly Record Linkage Methods
Version: 2.1.0
Description: Provides a flexible set of tools for matching two un-linked data sets. 'fedmatch' allows for three ways to match data: exact matches, fuzzy matches, and multi-variable matches. It also allows an easy combination of these three matches via the tier matching function.
Depends: R (>= 3.5.3)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: stringdist, SnowballC, stringr, purrr, Rcpp, parallel, forcats, data.table, magrittr, scales
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
LinkingTo: Rcpp, BH
NeedsCompilation: yes
Packaged: 2025-01-31 19:17:30 UTC; christopherwebster
Author: Melanie Friedrichs [aut], Chris Webster [aut, cre], Blake Marsh [aut], Jacob Dice [aut], Seung Lee [aut]
Maintainer: Chris Webster <chris0webster@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-31 22:40:02 UTC

More information about fedmatch at CRAN
Permanent link

New package EmbedSOM with initial version 2.2
Package: EmbedSOM
Version: 2.2
Title: Fast Embedding Guided by Self-Organizing Map
Depends: R (>= 3.2)
Suggests: knitr, rmarkdown
Imports: ggplot2, igraph, Matrix, Rtsne, umap, uwot
Description: Provides a smooth mapping of multidimensional points into low-dimensional space defined by a self-organizing map. Designed to work with 'FlowSOM' and flow-cytometry use-cases. See Kratochvil et al. (2019) <doi:10.12688/f1000research.21642.1>.
License: GPL (>= 3)
URL: https://github.com/exaexa/EmbedSOM
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-01-31 20:08:19 UTC; exa
Author: Mirek Kratochvil [aut, cre], Sofie Van Gassen [cph], Britt Callebaut [cph], Yvan Saeys [cph], Ron Wehrens [cph]
Maintainer: Mirek Kratochvil <exa.exa@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-31 22:30:02 UTC

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Package ClustAssess updated to version 1.0.0 with previous version 0.3.0 dated 2022-01-26

Title: Tools for Assessing Clustering
Description: A set of tools for evaluating clustering robustness using proportion of ambiguously clustered pairs (Senbabaoglu et al. (2014) <doi:10.1038/srep06207>), as well as similarity across methods and method stability using element-centric clustering comparison (Gates et al. (2019) <doi:10.1038/s41598-019-44892-y>). Additionally, this package enables stability-based parameter assessment for graph-based clustering pipelines typical in single-cell data analysis.
Author: Andi Munteanu [aut, cre], Arash Shahsavari [aut], Rafael Kollyfas [ctb], Miguel Larraz Lopez de Novales [aut], Liviu Ciortuz [ctb], Irina Mohorianu [aut]
Maintainer: Andi Munteanu <am3019@cam.ac.uk>

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Package BIEN updated to version 1.2.7 with previous version 1.2.6 dated 2023-01-06

Title: Tools for Accessing the Botanical Information and Ecology Network Database
Description: Provides Tools for Accessing the Botanical Information and Ecology Network Database. The BIEN database contains cleaned and standardized botanical data including occurrence, trait, plot and taxonomic data (See <https://bien.nceas.ucsb.edu/bien/> for more Information). This package provides functions that query the BIEN database by constructing and executing optimized SQL queries.
Author: Brian Maitner [aut, cre]
Maintainer: Brian Maitner <bmaitner@gmail.com>

Diff between BIEN versions 1.2.6 dated 2023-01-06 and 1.2.7 dated 2025-01-31

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More information about BIEN at CRAN
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Package tidychangepoint updated to version 1.0.0 with previous version 0.0.1 dated 2024-08-19

Title: A Tidy Framework for Changepoint Detection Analysis
Description: Changepoint detection algorithms for R are widespread but have different interfaces and reporting conventions. This makes the comparative analysis of results difficult. We solve this problem by providing a tidy, unified interface for several different changepoint detection algorithms. We also provide consistent numerical and graphical reporting leveraging the 'broom' and 'ggplot2' packages.
Author: Benjamin S. Baumer [aut, cre, cph] , Biviana Marcela Suarez Sierra [aut] , Arrigo Coen [aut] , Carlos A. Taimal [aut] , Xueheng Shi [ctb]
Maintainer: Benjamin S. Baumer <ben.baumer@gmail.com>

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Package scpi updated to version 3.0.0 with previous version 2.2.6 dated 2024-11-11

Title: Prediction Intervals for Synthetic Control Methods with Multiple Treated Units and Staggered Adoption
Description: Implementation of prediction and inference procedures for Synthetic Control methods using least square, lasso, ridge, or simplex-type constraints. Uncertainty is quantified with prediction intervals as developed in Cattaneo, Feng, and Titiunik (2021) <https://nppackages.github.io/references/Cattaneo-Feng-Titiunik_2021_JASA.pdf> for a single treated unit and in Cattaneo, Feng, Palomba, and Titiunik (2023) <doi:10.48550/arXiv.2210.05026> for multiple treated units and staggered adoption. More details about the software implementation can be found in Cattaneo, Feng, Palomba, and Titiunik (2024) <doi:10.48550/arXiv.2202.05984>.
Author: Matias Cattaneo [aut], Yingjie Feng [aut], Filippo Palomba [aut, cre], Rocio Titiunik [aut]
Maintainer: Filippo Palomba <fpalomba@princeton.edu>

Diff between scpi versions 2.2.6 dated 2024-11-11 and 3.0.0 dated 2025-01-31

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Package samplezoo updated to version 1.2.0 with previous version 1.1.1 dated 2024-12-02

Title: Generate Samples with a Variety of Probability Distributions
Description: Simplifies the process of generating samples from a variety of probability distributions, allowing users to quickly create data frames for demonstrations, troubleshooting, or teaching purposes. Data is available in multiple sizes—small, medium, and large. For more information, refer to the package documentation.
Author: Nicholas Vietto [aut, cre, cph]
Maintainer: Nicholas Vietto <nicholasvietto@gmail.com>

Diff between samplezoo versions 1.1.1 dated 2024-12-02 and 1.2.0 dated 2025-01-31

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New package RcppUUID with initial version 1.1.2
Package: RcppUUID
Title: Generating Universally Unique Identificators
Version: 1.1.2
Date: 2025-01-31
Description: Using the implementation in Boost C++ library, functions are provided to generate vectors of 'Universally Unique Identifiers (UUID)' from R supporting random (version 4) and name (version 5) 'UUIDs'. The initial repository was <https://gitlab.com/artemklevtsov/rcppuuid>.
URL: https://github.com/eddelbuettel/rcppuuid
BugReports: https://github.com/eddelbuettel/rcppuuid/issues
License: GPL (>= 2)
Imports: Rcpp
Suggests: tinytest, uuid, microbenchmark
LinkingTo: Rcpp, BH
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-01-31 16:58:00 UTC; edd
Author: Artem Klevtsov [aut] , Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Repository: CRAN
Date/Publication: 2025-01-31 19:40:05 UTC

More information about RcppUUID at CRAN
Permanent link

Package attachment updated to version 0.4.3 with previous version 0.4.2 dated 2024-07-01

Title: Deal with Dependencies
Description: Manage dependencies during package development. This can retrieve all dependencies that are used in ".R" files in the "R/" directory, in ".Rmd" files in "vignettes/" directory and in 'roxygen2' documentation of functions. There is a function to update the "DESCRIPTION" file of your package with 'CRAN' packages or any other remote package. All functions to retrieve dependencies of ".R" scripts and ".Rmd" or ".qmd" files can be used independently of a package development.
Author: Vincent Guyader [cre, aut] , Sebastien Rochette [aut] , Murielle Delmotte [aut] , Swann Floc'hlay [aut] , ThinkR [cph, fnd]
Maintainer: Vincent Guyader <vincent@thinkr.fr>

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Package rredlist updated to version 1.0.0 with previous version 0.7.1 dated 2022-11-11

Title: 'IUCN' Red List Client
Description: 'IUCN' Red List (<https://api.iucnredlist.org/>) client. The 'IUCN' Red List is a global list of threatened and endangered species. Functions cover all of the Red List 'API' routes. An 'API' key is required.
Author: William Gearty [aut, cre], Scott Chamberlain [aut], rOpenSci [fnd] , Maelle Salmon [ctb], Kevin Cazelles [rev] , Stephanie Hazlitt [rev]
Maintainer: William Gearty <willgearty@gmail.com>

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Package teal.widgets updated to version 0.4.3 with previous version 0.4.2 dated 2023-12-14

Title: 'shiny' Widgets for 'teal' Applications
Description: Collection of 'shiny' widgets to support 'teal' applications. Enables the manipulation of application layout and plot or table settings.
Author: Dawid Kaledkowski [aut, cre], Pawel Rucki [aut], Mahmoud Hallal [aut], Nikolas Burkoff [aut], Maciej Nasinski [aut], Konrad Pagacz [aut], Junlue Zhao [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@roche.com>

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Package robomit updated to version 1.0.7 with previous version 1.0.6 dated 2021-06-22

Title: Robustness Checks for Omitted Variable Bias
Description: Robustness checks for omitted variable bias. The package includes robustness checks proposed by Oster (2019). The 'robomit' package computes i) the bias-adjusted treatment correlation or effect and ii) the degree of selection on unobservables relative to observables (with respect to the treatment variable) that would be necessary to eliminate the result based on the framework by Oster (2019). The code is based on the 'psacalc' command in 'Stata'. Additionally, 'robomit' offers a set of sensitivity analysis and visualization functions. See Oster, E. 2019. <doi:10.1080/07350015.2016.1227711>. Additionally, see Diegert, P., Masten, M. A., & Poirier, A. (2022) for a recent discussion of the topic: <doi:10.48550/arXiv.2206.02303>.
Author: Sergei Schaub [aut, cre] , ETH Zurich [cph]
Maintainer: Sergei Schaub <sergei.schaub@agroscope.admin.ch>

Diff between robomit versions 1.0.6 dated 2021-06-22 and 1.0.7 dated 2025-01-31

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Package gdm updated to version 1.6.0-6 with previous version 1.6.0-5 dated 2025-01-10

Title: Generalized Dissimilarity Modeling
Description: A toolkit with functions to fit, plot, summarize, and apply Generalized Dissimilarity Models. Mokany K, Ware C, Woolley SNC, Ferrier S, Fitzpatrick MC (2022) <doi:10.1111/geb.13459> Ferrier S, Manion G, Elith J, Richardson K (2007) <doi:10.1111/j.1472-4642.2007.00341.x>.
Author: Matt Fitzpatrick [aut, cre] , Karel Mokany [aut] , Glenn Manion [aut], Diego Nieto-Lugilde [aut] , Simon Ferrier [aut] , Roozbeh Valavi [ctb], Matthew Lisk [ctb], Chris Ware [ctb], Skip Woolley [ctb], Tom Harwood [ctb]
Maintainer: Matt Fitzpatrick <mfitzpatrick@umces.edu>

Diff between gdm versions 1.6.0-5 dated 2025-01-10 and 1.6.0-6 dated 2025-01-31

 DESCRIPTION              |    8 +++----
 MD5                      |    6 ++---
 NEWS.md                  |    3 ++
 inst/tinytest/test_gdm.R |   48 +++++++++++++++++++++++------------------------
 4 files changed, 34 insertions(+), 31 deletions(-)

More information about gdm at CRAN
Permanent link

New package xmap with initial version 0.1.0
Package: xmap
Title: Transforming Data Between Statistical Classifications
Version: 0.1.0
Description: Provides support for transformations of numeric aggregates between statistical classifications (e.g. occupation or industry categorisations) using the 'Crossmaps' framework. Implements classes for representing transformations between a source and target classification as graph structures, and methods for validating and applying crossmaps to transform data collected under the source classification into data indexed using the target classification codes. Documentation about the 'Crossmaps' framework is provided in the included vignettes and in Huang (2024, <doi:10.48550/arXiv.2406.14163>).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Maintainer: Cynthia A. Huang <cynthiahqy@gmail.com>
URL: https://github.com/cynthiahqy/xmap, https://cynthiahqy.github.io/xmap/
BugReports: https://github.com/cynthiahqy/xmap/issues
LazyData: true
Depends: R (>= 4.1)
Imports: cli (>= 3.4.0), dplyr (>= 1.1.0), methods, pillar (>= 1.6.0), rlang (>= 1.0.0), tibble, tidyr, tidyselect, vctrs (>= 0.6.0)
Suggests: knitr, purrr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-31 10:30:53 UTC; chua0032
Author: Cynthia A. Huang [aut, cre] , Laura Puzzello [aut, fnd]
Repository: CRAN
Date/Publication: 2025-01-31 16:10:01 UTC

More information about xmap at CRAN
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Package targets updated to version 1.10.1 with previous version 1.10.0 dated 2025-01-13

Title: Dynamic Function-Oriented 'Make'-Like Declarative Pipelines
Description: Pipeline tools coordinate the pieces of computationally demanding analysis projects. The 'targets' package is a 'Make'-like pipeline tool for statistics and data science in R. The package skips costly runtime for tasks that are already up to date, orchestrates the necessary computation with implicit parallel computing, and abstracts files as R objects. If all the current output matches the current upstream code and data, then the whole pipeline is up to date, and the results are more trustworthy than otherwise. The methodology in this package borrows from GNU 'Make' (2015, ISBN:978-9881443519) and 'drake' (2018, <doi:10.21105/joss.00550>).
Author: William Michael Landau [aut, cre] , Matthew T. Warkentin [ctb], Mark Edmondson [ctb] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between targets versions 1.10.0 dated 2025-01-13 and 1.10.1 dated 2025-01-31

 DESCRIPTION                           |    6 ++--
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 tests/testthat/test-class_timestamp.R |   13 ++++++++
 tests/testthat/test-class_verbose.R   |   13 ++++++++
 tests/testthat/test-utils_cli.R       |   11 +++++++
 26 files changed, 208 insertions(+), 84 deletions(-)

More information about targets at CRAN
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Package tarchetypes updated to version 0.12.0 with previous version 0.11.0 dated 2024-11-15

Title: Archetypes for Targets
Description: Function-oriented Make-like declarative pipelines for Statistics and data science are supported in the 'targets' R package. As an extension to 'targets', the 'tarchetypes' package provides convenient user-side functions to make 'targets' easier to use. By establishing reusable archetypes for common kinds of targets and pipelines, these functions help express complicated reproducible pipelines concisely and compactly. The methods in this package were influenced by the 'targets' R package. by Will Landau (2018) <doi:10.21105/joss.00550>.
Author: William Michael Landau [aut, cre] , Rudolf Siegel [ctb] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between tarchetypes versions 0.11.0 dated 2024-11-15 and 0.12.0 dated 2025-01-31

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New package StratifiedSampling with initial version 0.4.2
Package: StratifiedSampling
Title: Different Methods for Stratified Sampling
Version: 0.4.2
Description: Integrating a stratified structure in the population in a sampling design can considerably reduce the variance of the Horvitz-Thompson estimator. We propose in this package different methods to handle the selection of a balanced sample in stratified population. For more details see Raphaël Jauslin, Esther Eustache and Yves Tillé (2021) <doi:10.1007/s42081-021-00134-y>. The package propose also a method based on optimal transport and balanced sampling, see Raphaël Jauslin and Yves Tillé <doi:10.1016/j.jspi.2022.12.003>.
URL: https://github.com/RJauslin/StratifiedSampling
BugReports: https://github.com/RJauslin/StratifiedSampling/issues
License: GPL (>= 2)
Encoding: UTF-8
LinkingTo: RcppArmadillo, Rcpp
Imports: Rcpp, transport, proxy, MASS, sampling, Rglpk
Depends: Matrix, R (>= 3.5.0)
Suggests: knitr, rmarkdown, BalancedSampling, stats, testthat, StatMatch, laeken, prettydoc, ggplot2, viridis, geojsonio, sf, rmapshaper
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-01-31 12:48:04 UTC; Raphael
Author: Raphael Jauslin [aut, cre] , Esther Eustache [aut], Bardia Panahbehagh [aut] , Yves Tille [aut]
Maintainer: Raphael Jauslin <raphael.jauslin@bfs.admin.ch>
Repository: CRAN
Date/Publication: 2025-01-31 16:20:02 UTC

More information about StratifiedSampling at CRAN
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Package HMMpa updated to version 1.0.2 with previous version 1.0.1 dated 2018-11-15

Title: Analysing Accelerometer Data Using Hidden Markov Models
Description: Analysing time-series accelerometer data to quantify length and intensity of physical activity using hidden Markov models. It also contains the traditional cut-off point method. Witowski V, Foraita R, Pitsiladis Y, Pigeot I, Wirsik N (2014). <doi:10.1371/journal.pone.0114089>.
Author: Vitali Witowski [aut], Foraita Ronja [cre, aut]
Maintainer: Foraita Ronja <foraita@leibniz-bips.de>

Diff between HMMpa versions 1.0.1 dated 2018-11-15 and 1.0.2 dated 2025-01-31

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Package distanceHD updated to version 1.2 with previous version 1.0 dated 2025-01-30

Title: Distance Metrics for High-Dimensional Clustering
Description: We provide three distance metrics for measuring the separation between two clusters in high-dimensional spaces. The first metric is the centroid distance, which calculates the Euclidean distance between the centers of the two groups. The second is a ridge Mahalanobis distance, which incorporates a ridge correction constant, alpha, to ensure that the covariance matrix is invertible. The third metric is the maximal data piling distance, which computes the orthogonal distance between the affine spaces spanned by each class. These three distances are asymptotically interconnected and are applicable in tasks such as discrimination, clustering, and outlier detection in high-dimensional settings.
Author: Jung Ae Lee [aut, cre], Jeongyoun Ahn [aut]
Maintainer: Jung Ae Lee <jungaeleeb@gmail.com>

Diff between distanceHD versions 1.0 dated 2025-01-30 and 1.2 dated 2025-01-31

 DESCRIPTION     |   35 ++++++++++++++++-------------------
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More information about distanceHD at CRAN
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Package bioregion updated to version 1.2.0 with previous version 1.1.1-1 dated 2024-11-11

Title: Comparison of Bioregionalisation Methods
Description: The main purpose of this package is to propose a transparent methodological framework to compare bioregionalisation methods based on hierarchical and non-hierarchical clustering algorithms (Kreft & Jetz (2010) <doi:10.1111/j.1365-2699.2010.02375.x>) and network algorithms (Lenormand et al. (2019) <doi:10.1002/ece3.4718> and Leroy et al. (2019) <doi:10.1111/jbi.13674>).
Author: Maxime Lenormand [aut, cre] , Boris Leroy [aut] , Pierre Denelle [aut]
Maintainer: Maxime Lenormand <maxime.lenormand@inrae.fr>

Diff between bioregion versions 1.1.1-1 dated 2024-11-11 and 1.2.0 dated 2025-01-31

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More information about bioregion at CRAN
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Package tidycensus updated to version 1.7.1 with previous version 1.7.0 dated 2025-01-23

Title: Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames
Description: An integrated R interface to several United States Census Bureau APIs (<https://www.census.gov/data/developers/data-sets.html>) and the US Census Bureau's geographic boundary files. Allows R users to return Census and ACS data as tidyverse-ready data frames, and optionally returns a list-column with feature geometry for mapping and spatial analysis.
Author: Kyle Walker [aut, cre], Matt Herman [aut], Kris Eberwein [ctb]
Maintainer: Kyle Walker <kyle@walker-data.com>

Diff between tidycensus versions 1.7.0 dated 2025-01-23 and 1.7.1 dated 2025-01-31

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New package SurvImpute with initial version 0.1.0
Package: SurvImpute
Title: Multiple Imputation for Missing Covariates in Time-to-Event Data
Version: 0.1.0
Maintainer: Qinghua Lian <qlian@mcw.edu>
Description: Generates multiple imputed datasets from a substantive model compatible fully conditional specification model for time-to-event data. Our method assumes that the censoring process also depends on the covariates with missing values. Details will be available in an upcoming publication.
License: GPL-3
Imports: survival, VGAM, MASS
Suggests: mitools
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-31 05:45:42 UTC; qinghua
Author: Qinghua Lian [aut, cre, cph], Soyoung Kim [aut], Michael J. Martens [aut], Kwang Woo Ahn [aut]
Repository: CRAN
Date/Publication: 2025-01-31 15:40:05 UTC

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New package shortr with initial version 1.0.0
Package: shortr
Title: Optimal Subset Identification in Undirected Weighted Network Models
Version: 1.0.0
Description: Identifies what optimal subset of a desired number of items should be retained in a short version of a psychometric instrument to assess the “broadest” proportion of the construct-level content of the set of items included in the original version of the said psychometric instrument. Expects a symmetric adjacency matrix as input (undirected weighted network model). Supports brute force and simulated annealing combinatorial search algorithms.
Depends: R (>= 4.1.0)
Imports: stats, utils
URL: https://github.com/lfourni2/shortr
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-30 20:40:03 UTC; loisfournier
Author: Lois Fournier [aut, cre] , Alexandre Heeren [aut] , Stephanie Baggio [aut] , Luke Clark [aut] , Antonio Verdejo-Garcia [aut] , Jose C. Perales [aut] , Joel Billieux [aut]
Maintainer: Lois Fournier <lois.fournier@unil.ch>
Repository: CRAN
Date/Publication: 2025-01-31 15:30:06 UTC

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New package networksem with initial version 0.2
Package: networksem
Title: Network Structural Equation Modeling
Version: 0.2
Maintainer: Zhiyong Zhang <johnnyzhz@gmail.com>
Description: Several methods have been developed to integrate structural equation modeling techniques with network data analysis to examine the relationship between network and non-network data. Both node-based and edge-based information can be extracted from the network data to be used as observed variables in structural equation modeling. To facilitate the application of these methods, model specification can be performed in the familiar syntax of the 'lavaan' package, ensuring ease of use for researchers. Technical details and examples can be found at <https://bigsem.psychstat.org>.
License: GPL
Imports: sna, influential, lavaan, network, igraph, methods
Depends: latentnet
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-30 17:35:44 UTC; ziqianxu
Author: Zhiyong Zhang [aut, cre] , Ziqian Xu [aut]
Repository: CRAN
Date/Publication: 2025-01-31 15:20:02 UTC

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New package MultiGrey with initial version 0.1.0
Package: MultiGrey
Title: Fitting and Forecasting of Grey Model for Multivariate Time Series Data
Version: 0.1.0
Depends: R(>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Description: Grey model is commonly used in time series forecasting when statistical assumptions are violated with a limited number of data points. The minimum number of data points required to fit a grey model is four observations. This package fits Grey model of First order and One Variable, i.e., GM (1,1) for multivariate time series data and returns the parameters of the model, model evaluation criteria and h-step ahead forecast values for each of the time series variables. For method details see, Akay, D. and Atak, M. (2007) <DOI:10.1016/j.energy.2006.11.014>, Hsu, L. and Wang, C. (2007).<DOI:10.1016/j.techfore.2006.02.005>.
License: GPL (>= 2.0)
Encoding: UTF-8
Imports: zoo, stats
NeedsCompilation: no
Packaged: 2025-01-31 09:15:13 UTC; Pradip Basak
Author: Pradip Basak [aut, cph, cre], Nobin Chandra Paul [aut, cph]
Maintainer: Pradip Basak <pradip@ubkv.ac.in>
Repository: CRAN
Date/Publication: 2025-01-31 16:00:02 UTC

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New package mtrank with initial version 0.1-0
Package: mtrank
Title: Ranking using Probabilistic Models and Treatment Choice Criteria
Version: 0.1-0
Date: 2025-01-31
Depends: R (>= 4.0.0), meta (>= 8.0-2), netmeta (>= 3.0-2)
Imports: PlackettLuce, dplyr, magrittr
Suggests: rmarkdown, knitr
Maintainer: Theodoros Evrenoglou <theodoros.evrenoglou@uniklinik-freiburg.de>
URL: https://github.com/TEvrenoglou/mtrank
Description: Implementation of a novel frequentist approach to produce clinically relevant treatment hierarchies in network meta-analysis. The method is based on treatment choice criteria (TCC) and probabilistic ranking models, as described by Evrenoglou et al. (2024) <DOI:10.48550/arXiv.2406.10612>. The TCC are defined using a rule based on the minimal clinically important difference. Using the defined TCC, the study-level data (i.e., treatment effects and standard errors) are first transformed into a preference format, indicating either a treatment preference (e.g., treatment A > treatment B) or a tie (treatment A = treatment B). The preference data are then synthesized using a probabilistic ranking model, which estimates the latent ability parameter of each treatment and produces the final treatment hierarchy. This parameter represents each treatment’s ability to outperform all the other competing treatments in the network. Consequently, larger ability estimates indicate higher position [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-31 08:00:28 UTC; sc
Author: Theodoros Evrenoglou [aut, cre] , Guido Schwarzer [aut]
Repository: CRAN
Date/Publication: 2025-01-31 15:50:01 UTC

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New package MRMCbinary with initial version 1.0.4
Package: MRMCbinary
Title: Multi-Reader Multi-Case Analysis of Binary Diagnostic Tests
Version: 1.0.4
Description: The goal of 'MRMCbinary' is to compare the performance of diagnostic tests (i.e., sensitivity and specificity) for binary outcomes in multi-reader multi-case (MRMC) studies. It is based on conditional logistic regression and Cochran’s Q test (or McNemar’s test when the number of modalities is equal to 2).
License: MIT + file LICENSE
URL: https://github.com/seungjae2525/MRMCbinary
BugReports: https://github.com/seungjae2525/MRMCbinary/issues
Depends: R (>= 4.2.0)
Imports: DescTools, stats, survival
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-31 04:45:19 UTC; seung
Author: Seungjae Lee [aut, cre] , Woojoo Lee [aut]
Maintainer: Seungjae Lee <seungjae2525@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-31 15:40:08 UTC

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Package MBBEFDLite updated to version 0.0.5 with previous version 0.0.4 dated 2024-07-24

Title: Statistical Functions for the Maxwell-Boltzmann-Bose-Einstein-Fermi-Dirac (MBBEFD) Family of Distributions
Description: Provides probability mass, distribution, quantile, random variate generation, and method-of-moments parameter fitting for the MBBEFD family of distributions used in insurance modeling as described in Bernegger (1997) <doi:10.2143/AST.27.1.563208> without any external dependencies.
Author: Avraham Adler [aut, cre, cph]
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>

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Package hardhat updated to version 1.4.1 with previous version 1.4.0 dated 2024-06-02

Title: Construct Modeling Packages
Description: Building modeling packages is hard. A large amount of effort generally goes into providing an implementation for a new method that is efficient, fast, and correct, but often less emphasis is put on the user interface. A good interface requires specialized knowledge about S3 methods and formulas, which the average package developer might not have. The goal of 'hardhat' is to reduce the burden around building new modeling packages by providing functionality for preprocessing, predicting, and validating input.
Author: Hannah Frick [aut, cre] , Davis Vaughan [aut], Max Kuhn [aut], Posit Software, PBC [cph, fnd]
Maintainer: Hannah Frick <hannah@posit.co>

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New package ggsurveillance with initial version 0.1.1
Package: ggsurveillance
Title: Tools and 'ggplot2' Extensions for Infectious Disease Surveillance and Outbreak Investigation
Version: 0.1.1
Description: Create epicurves or epigantt charts in 'ggplot2'. Prepare data for visualisation or other reporting for infectious disease surveillance and outbreak investigation. Includes functions to solve date based transformations for common reporting tasks, like (A) seasonal date alignment for respiratory disease surveillance, (B) date-based case binning based on specified time intervals like isoweek, epiweek, month and more, (C) automated detection and marking of the new year based on the date/datetime axis of the 'ggplot2'. An introduction on how to use epicurves can be found on the US CDC website (2012, <https://www.cdc.gov/training/quicklearns/epimode/index.html>).
License: GPL (>= 3)
URL: https://ggsurveillance.biostats.dev, https://github.com/biostats-dev/ggsurveillance
BugReports: https://github.com/biostats-dev/ggsurveillance/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr, forcats, ggplot2, glue, ISOweek, lubridate, rlang, scales, stringr, tidyr, tidyselect, tsibble
Suggests: Hmisc, knitr, outbreaks, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-31 08:54:46 UTC; Alex
Author: Alexander Bartel [aut, cre]
Maintainer: Alexander Bartel <alexander.bartel@fu-berlin.de>
Repository: CRAN
Date/Publication: 2025-01-31 15:50:05 UTC

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Package ggfootball updated to version 0.2.0 with previous version 0.1.0 dated 2025-01-30

Title: Plotting Expected Goals (xG) Stats with 'Understat' Data
Description: Scrapes shots data from 'Understat' <https://understat.com/> and visualizes it using interactive plots: - A detailed shot map displaying the location, type, and xG value of shots taken by both teams. - An xG timeline chart showing the cumulative xG for each team over time, annotated with the details of scored goals.
Author: Aymen Nasri [aut, cre, cph]
Maintainer: Aymen Nasri <aymennasrii@proton.me>

Diff between ggfootball versions 0.1.0 dated 2025-01-30 and 0.2.0 dated 2025-01-31

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Package bibliorefer updated to version 0.1.1 with previous version 0.1.0 dated 2024-03-08

Title: Generator of Main Scientific References
Description: Generates a list, with a size defined by the user, containing the main scientific references and the frequency distribution of authors and journals in the list obtained. The database is a dataframe with academic production metadata made available by bibliographic collections such as Scopus, Web of Science, etc. The temporal evolution of scientific production on a given topic is presented and ordered lists of articles are constructed by number of citations and of authors and journals by level of productivity. Massimo Aria, Corrado Cuccurullo. (2017) <doi:10.1016/j.joi.2017.08.007>. Caibo Zhou, Wenyan Song. (2021) <doi:10.1016/j.jclepro.2021.126943>.
Author: Marcio Eustaquio [aut, cre]
Maintainer: Marcio Eustaquio <marcioeustaquio@id.uff.br>

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Package IndGenErrors updated to version 0.1.6 with previous version 0.1.4 dated 2023-06-30

Title: Tests of Independence Between Innovations of Generalized Error Models
Description: Computation of test statistics of independence between (continuous) innovations of time series. They can be used with stochastic volatility models and Hidden Markov Models (HMM). This improves the results in Duchesne, Ghoudi & Remillard (2012) <doi:10.1002/cjs.11141>.
Author: Kilani Ghoudi [aut, ctb, cph], Bouchra R. Nasri [aut, ctb, cph], Bruno N Remillard [aut, cre, cph], Pierre Duchesne [aut, ctb, cph]
Maintainer: Bruno N Remillard <bruno.remillard@hec.ca>

Diff between IndGenErrors versions 0.1.4 dated 2023-06-30 and 0.1.6 dated 2025-01-31

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Package iadf updated to version 0.1.3 with previous version 0.1.2 dated 2021-05-24

Title: Analysis of Intra Annual Density Fluctuations
Description: Calculate false ring proportions from data frames of intra annual density fluctuations.
Author: Konrad Mayer [aut, cre], Filipe Campelo [aut]
Maintainer: Konrad Mayer <konrad.mayer@gmail.com>

Diff between iadf versions 0.1.2 dated 2021-05-24 and 0.1.3 dated 2025-01-31

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New package zigg with initial version 0.0.1
Package: zigg
Title: Lightweight Interfaces to the 'Ziggurat' Pseudo Random Number Generator
Version: 0.0.1
Date: 2025-01-30
Description: The 'Ziggurat' pseudo-random number generator (or PRNG), introduced by Marsaglia and Tsang (2000, <doi:10.18637/jss.v005.i08>) and further improved by Leong et al (2005, <doi:10.18637/jss.v012.i07>), offers a lightweight and very fast PRNG for the normal, exponential, and uniform distributions. It is provided here in a small zero-dependency package. It can be used from R as well as from 'C/C++' code in other packages as is demonstrated by four included sample packages using four distinct methods to use the PRNG presented here in client package. The implementation is influenced by our package 'RcppZiggurat' which offers a comparison among multiple alternative implementations but presented here in a lighter-weight implementation that is easier to use by other packages. The PRNGs provided are generally faster than the ones in base R: on our machine, the relative gains for normal, exponential and uniform are on the order of 7.4, 5.2 and 4.7 times faster than base R. However, th [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-01-30 12:58:26 UTC; edd
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Repository: CRAN
Date/Publication: 2025-01-31 11:20:02 UTC

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New package rmonocypher with initial version 0.1.8
Package: rmonocypher
Title: Easy Encryption of R Objects using Strong Modern Cryptography
Version: 0.1.8
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
Description: Encrypt R objects to a raw vector or file using modern cryptographic techniques. Password-based key derivation is with 'Argon2' (<https://en.wikipedia.org/wiki/Argon2>). Objects are serialized and then encrypted using 'XChaCha20-Poly1305' (<https://en.wikipedia.org/wiki/ChaCha20-Poly1305>) which follows RFC 8439 for authenticated encryption (<https://en.wikipedia.org/wiki/Authenticated_encryption>). Cryptographic functions are provided by the included 'monocypher' 'C' library (<https://monocypher.org>).
URL: https://github.com/coolbutuseless/rmonocypher
BugReports: https://github.com/coolbutuseless/rmonocypher/issues
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.4.0)
Copyright: This package includes the 'monocypher' library written by Loup Vaillant, Michael Savage and Fabio Scotomi. This library is included under its CC-0 license. See file 'inst/LICENSE-monocypher.md' for detailed licensing information.
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-01-30 10:03:19 UTC; mike
Author: Mike Cheng [aut, cre, cph], Loup Vaillant [aut, cph] , Michael Savage [aut, cph] , Fabio Scotomi [aut, cph]
Repository: CRAN
Date/Publication: 2025-01-31 11:10:02 UTC

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New package forgts with initial version 0.0.1
Package: forgts
Title: Convert Formatted Spreadsheets to Presentation-Ready Display Tables
Version: 0.0.1
Description: Reads cell contents plus formatting from a spreadsheet file and creates an editable 'gt' object with the same data and formatting. Supports the most commonly-used cell and text styles including colors, fills, font weights and decorations, and borders.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, gt, purrr, readxl, rlang, tibble, tidyr, tidyxl
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/luisDVA/forgts, https://luisdva.github.io/forgts/
BugReports: https://github.com/luisDVA/forgts/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-30 17:54:16 UTC; luisd
Author: Luis D. Verde Arregoitia [aut, cre, cph]
Maintainer: Luis D. Verde Arregoitia <luis@liomys.mx>
Repository: CRAN
Date/Publication: 2025-01-31 11:40:04 UTC

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New package DDPstar with initial version 1.0-1
Package: DDPstar
Title: Density Regression via Dirichlet Process Mixtures of Normal Structured Additive Regression Models
Version: 1.0-1
Date: 2025-01-30
Imports: stats, grDevices, graphics, splines, moments, Matrix, parallel, MASS
Depends: R (>= 3.5.0)
Description: Implements a flexible, versatile, and computationally tractable model for density regression based on a single-weights dependent Dirichlet process mixture of normal distributions model for univariate continuous responses. The model assumes an additive structure for the mean of each mixture component and the effects of continuous covariates are captured through smooth nonlinear functions. The key components of our modelling approach are penalised B-splines and their bivariate tensor product extension. The proposed method can also easily deal with parametric effects of categorical covariates, linear effects of continuous covariates, interactions between categorical and/or continuous covariates, varying coefficient terms, and random effects. Please see Rodriguez-Alvarez, Inacio et al. (2025) for more details.
License: GPL
NeedsCompilation: no
Packaged: 2025-01-30 11:41:24 UTC; mrodriguez
Author: Maria Xose Rodriguez-Alvarez [aut, cre] , Vanda Inacio [aut]
Maintainer: Maria Xose Rodriguez-Alvarez <mxrodriguez@uvigo.gal>
Repository: CRAN
Date/Publication: 2025-01-31 11:10:09 UTC

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New package compdb with initial version 0.0.1
Package: compdb
Title: Generate Compilation Database for Use with 'Clang' Tools
Version: 0.0.1
Description: Many modern C/C++ development tools in the 'clang' toolchain, such as 'clang-tidy' or 'clangd', rely on the presence of a compilation database in JSON format <https://clang.llvm.org/docs/JSONCompilationDatabase.html>. This package temporarily injects additional build flags into the R build process to generate such a compilation database.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
OS_type: unix
SystemRequirements: Clang >= 5.0
Imports: tools, callr, cli, pkgbuild, utils, withr
URL: https://github.com/cyianor/r-compdb
BugReports: https://github.com/cyianor/r-compdb/issues
Suggests: fs, jsonlite, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-01-30 10:13:09 UTC; felixheld
Author: Felix Held [aut, cre]
Maintainer: Felix Held <felix.held@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-31 11:10:06 UTC

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New package YEAB with initial version 1.0.6
Package: YEAB
Title: Analyze Data from Analysis of Behavior Experiments
Version: 1.0.6
Description: Analyze data from behavioral experiments conducted using 'MED-PC' software developed by Med Associates Inc. Includes functions to fit exponential and hyperbolic models for delay discounting tasks, exponential mixtures for inter-response times, and Gaussian plus ramp models for peak procedure data, among others. For more details, refer to Alcala et al. (2023) <doi:10.31234/osf.io/8aq2j>.
Encoding: UTF-8
Imports: cluster, doParallel, data.table, dplyr, FNN, foreach, ggplot2, boot, grid, gridExtra, infotheo, ks, magrittr, minpack.lm, Polychrome, scales, sfsmisc, MASS, KernSmooth, zoo, usethis, stats, utils
Depends: R (>= 3.5.0)
License: GPL (>= 3)
Author: Emmanuel Alcala [aut, cre], Rodrigo Sosa [aut], Victor Reyes [aut]
Maintainer: Emmanuel Alcala <jealcalat@gmail.com>
Date: 2025-01-23
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-29 19:10:08 UTC; jealcalat
Repository: CRAN
Date/Publication: 2025-01-31 11:00:14 UTC

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Package tramvs updated to version 0.0-7 with previous version 0.0-6 dated 2024-09-04

Title: Optimal Subset Selection for Transformation Models
Description: Greedy optimal subset selection for transformation models (Hothorn et al., 2018, <doi:10.1111/sjos.12291> ) based on the abess algorithm (Zhu et al., 2020, <doi:10.1073/pnas.2014241117> ). Applicable to models from packages 'tram' and 'cotram'. Application to shift-scale transformation models are described in Siegfried et al. (2024, <doi:10.1080/00031305.2023.2203177>).
Author: Lucas Kook [aut, cre] , Sandra Siegfried [ctb], Torsten Hothorn [ctb]
Maintainer: Lucas Kook <lucasheinrich.kook@gmail.com>

Diff between tramvs versions 0.0-6 dated 2024-09-04 and 0.0-7 dated 2025-01-31

 DESCRIPTION         |   17 ++++---
 MD5                 |    8 +--
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 build/vignette.rds  |binary
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New package survNMA with initial version 1.1-1
Package: survNMA
Title: Network Meta-Analysis Combining Survival and Count Outcomes
Version: 1.1-1
Date: 2025-01-30
Maintainer: Hisashi Noma <noma@ism.ac.jp>
Description: Network meta-analysis for survival outcome data often involves several studies only involve dichotomized outcomes (e.g., the numbers of event and sample sizes of individual arms). To combine these different outcome data, Woods et al. (2010) <doi:10.1186/1471-2288-10-54> proposed a Bayesian approach using complicated hierarchical models. Besides, frequentist approaches have been alternative standard methods for the statistical analyses of network meta-analysis, and the methodology has been well established. We proposed an easy-to-implement method for the network meta-analysis based on the frequentist framework in Noma and Maruo (2025) <doi:10.1101/2025.01.23.25321051>. This package involves some convenient functions to implement the simple synthesis method.
URL: https://doi.org/10.1101/2025.01.23.25321051
Depends: R (>= 3.5.0)
Imports: stats, netmeta
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-30 07:22:27 UTC; Hisashi
Author: Hisashi Noma [aut, cre]
Repository: CRAN
Date/Publication: 2025-01-31 11:00:02 UTC

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Package popEpi updated to version 0.4.13 with previous version 0.4.12 dated 2024-05-10

Title: Functions for Epidemiological Analysis using Population Data
Description: Enables computation of epidemiological statistics, including those where counts or mortality rates of the reference population are used. Currently supported: excess hazard models (Dickman, Sloggett, Hills, and Hakulinen (2012) <doi:10.1002/sim.1597>), rates, mean survival times, relative/net survival (in particular the Ederer II (Ederer and Heise (1959)) and Pohar Perme (Pohar Perme, Stare, and Esteve (2012) <doi:10.1111/j.1541-0420.2011.01640.x>) estimators), and standardized incidence and mortality ratios, all of which can be easily adjusted for by covariates such as age. Fast splitting and aggregation of 'Lexis' objects (from package 'Epi') and other computations achieved using 'data.table'.
Author: Joonas Miettinen [cre, aut] , Matti Rantanen [aut], Karri Seppa [ctb]
Maintainer: Joonas Miettinen <joonas.miettinen@cancer.fi>

Diff between popEpi versions 0.4.12 dated 2024-05-10 and 0.4.13 dated 2025-01-31

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 man/stdpop101.Rd                                       |    4 
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 man/survtab_ag.Rd                                      |  199 +--
 man/try2int.Rd                                         |    4 
 tests/testthat/test_Surv.R                             |    4 
 tests/testthat/test_aggre.R                            |  110 +-
 tests/testthat/test_epi.R                              |   10 
 tests/testthat/test_expo.R                             |   38 
 tests/testthat/test_lexpand.R                          |  218 ++--
 tests/testthat/test_prevtab.R                          |   16 
 tests/testthat/test_rate.R                             |  112 +-
 tests/testthat/test_relpois_mean_curve.R               |   24 
 tests/testthat/test_sir.R                              |  232 ++--
 tests/testthat/test_splitLexisDT.R                     |   70 -
 tests/testthat/test_splitMulti.R                       |   82 -
 tests/testthat/test_splitting_attributes.R             |   36 
 tests/testthat/test_splitting_breaks.R                 |   36 
 tests/testthat/test_splitting_randomly_on_fixed_data.R |   16 
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 tests/testthat/test_survtab_adjusted.R                 |   60 -
 tests/testthat/test_survtab_bad_surv_ints.R            |   34 
 tests/testthat/test_survtab_relative.R                 |   97 -
 tests/testthat/test_survtab_usage.R                    |  256 ++--
 tests/testthat/test_utils.R                            |  282 ++---
 tests/testthat/test_weighter.R                         |   90 -
 121 files changed, 6271 insertions(+), 6294 deletions(-)

More information about popEpi at CRAN
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New package fkbma with initial version 0.1.0
Package: fkbma
Title: Free Knot-Bayesian Model Averaging
Version: 0.1.0
Maintainer: Lara Maleyeff <lara.maleyeff@mcgill.ca>
Description: Analysis of Bayesian adaptive enrichment clinical trial using Free-Knot Bayesian Model Averaging (FK-BMA) method of Maleyeff et al. (2024) for Gaussian data. Maleyeff, L., Golchi, S., Moodie, E. E. M., & Hudson, M. (2024) "An adaptive enrichment design using Bayesian model averaging for selection and threshold-identification of predictive variables" <doi:10.1093/biomtc/ujae141>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: rstan, matrixStats, splines, dplyr, coda, MASS, ggplot2, cowplot, rlang
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-01-29 20:34:44 UTC; laramaleyeff
Author: Lara Maleyeff [aut, cre], Shirin Golchi [aut], Erica E. M. Moodie [aut]
Repository: CRAN
Date/Publication: 2025-01-31 10:50:02 UTC

More information about fkbma at CRAN
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Package exametrika updated to version 1.2.0 with previous version 1.1.0 dated 2024-11-22

Title: Test Theory Analysis and Biclustering
Description: Implements comprehensive test data engineering methods as described in Shojima (2022, ISBN:978-9811699856). Provides statistical techniques for engineering and processing test data: Classical Test Theory (CTT) with reliability coefficients for continuous ability assessment; Item Response Theory (IRT) including Rasch, 2PL, and 3PL models with item/test information functions; Latent Class Analysis (LCA) for nominal clustering; Latent Rank Analysis (LRA) for ordinal clustering with automatic determination of cluster numbers; Biclustering methods including infinite relational models for simultaneous clustering of examinees and items without predefined cluster numbers; and Bayesian Network Models (BNM) for visualizing inter-item dependencies. Features local dependence analysis through LRA and biclustering, parameter estimation, dimensionality assessment, and network structure visualization for educational, psychological, and social science research.
Author: Koji Kosugi [aut, cre]
Maintainer: Koji Kosugi <kosugitti@gmail.com>

Diff between exametrika versions 1.1.0 dated 2024-11-22 and 1.2.0 dated 2025-01-31

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Package editbl updated to version 1.1.0 with previous version 1.0.5 dated 2024-05-21

Title: 'DT' Extension for CRUD (Create, Read, Update, Delete) Applications in 'shiny'
Description: The core of this package is a function eDT() which enhances DT::datatable() such that it can be used to interactively modify data in 'shiny'. By the use of generic 'dplyr' methods it supports many types of data storage, with relational databases ('dbplyr') being the main use case.
Author: Jasper Schelfhout [aut, cre], Maxim Nazarov [rev], Daan Seynaeve [rev], Lennart Tuijnder [rev]
Maintainer: Jasper Schelfhout <jasper.schelfhout@openanalytics.eu>

Diff between editbl versions 1.0.5 dated 2024-05-21 and 1.1.0 dated 2025-01-31

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Package ecospat updated to version 4.1.2 with previous version 4.1.1 dated 2024-07-04

Title: Spatial Ecology Miscellaneous Methods
Description: Collection of R functions and data sets for the support of spatial ecology analyses with a focus on pre, core and post modelling analyses of species distribution, niche quantification and community assembly. Written by current and former members and collaborators of the ecospat group of Antoine Guisan, Department of Ecology and Evolution (DEE) and Institute of Earth Surface Dynamics (IDYST), University of Lausanne, Switzerland. Read Di Cola et al. (2016) <doi:10.1111/ecog.02671> for details.
Author: Olivier Broennimann [cre, aut, ctb], Valeria Di Cola [aut, ctb], Blaise Petitpierre [ctb], Frank Breiner [ctb], Daniel Scherrer [ctb], Manuela D`Amen [ctb], Christophe Randin [ctb], Robin Engler [ctb], Wim Hordijk [ctb], Heidi Mod [ctb], Julien Potti [...truncated...]
Maintainer: Olivier Broennimann <olivier.broennimann@unil.ch>

Diff between ecospat versions 4.1.1 dated 2024-07-04 and 4.1.2 dated 2025-01-31

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New package connectcreds with initial version 0.1.0
Package: connectcreds
Title: Manage 'OAuth' Credentials from 'Posit Connect'
Version: 0.1.0
Description: A toolkit for making use of credentials mediated by 'Posit Connect'. It handles the details of communicating with the Connect API correctly, 'OAuth' token caching, and refresh behaviour.
License: MIT + file LICENSE
Imports: cli, httr2 (>= 1.1.0), rlang (>= 1.1.0)
Suggests: testthat (>= 3.0.0), withr
Encoding: UTF-8
URL: https://github.com/posit-dev/connectcreds
BugReports: https://github.com/posit-dev/connectcreds/issues
NeedsCompilation: no
Packaged: 2025-01-30 02:24:37 UTC; aaron
Author: Aaron Jacobs [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Aaron Jacobs <aaron.jacobs@posit.co>
Repository: CRAN
Date/Publication: 2025-01-31 11:00:11 UTC

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Package comets updated to version 0.1-1 with previous version 0.1-0 dated 2024-12-06

Title: Covariance Measure Tests for Conditional Independence
Description: Covariance measure tests for conditional independence testing against conditional covariance and nonlinear conditional mean alternatives. The package implements versions of the generalised covariance measure test (Shah and Peters, 2020, <doi:10.1214/19-aos1857>) and projected covariance measure test (Lundborg et al., 2023, <doi:10.1214/24-AOS2447>). The tram-GCM test, for censored responses, is implemented including the Cox model and survival forests (Kook et al., 2024, <doi:10.1080/01621459.2024.2395588>). Application examples to variable significance testing and modality selection can be found in Kook and Lundborg (2024, <doi:10.1093/bib/bbae475>).
Author: Lucas Kook [aut, cre] , Anton Rask Lundborg [ctb]
Maintainer: Lucas Kook <lucasheinrich.kook@gmail.com>

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Package tramicp updated to version 0.1-0 with previous version 0.0-2 dated 2024-03-14

Title: Model-Based Causal Feature Selection for General Response Types
Description: Extends invariant causal prediction (Peters et al., 2016, <doi:10.1111/rssb.12167>) to generalized linear and transformation models (Hothorn et al., 2018, <doi:10.1111/sjos.12291>). The methodology is described in Kook et al. (2023, <doi:10.1080/01621459.2024.2395588>).
Author: Lucas Kook [aut, cre] , Sorawit Saengkyongam [ctb], Anton Rask Lundborg [ctb], Torsten Hothorn [ctb], Jonas Peters [ctb]
Maintainer: Lucas Kook <lucasheinrich.kook@gmail.com>

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New package stochvolTMB with initial version 0.3.0
Package: stochvolTMB
Title: Likelihood Estimation of Stochastic Volatility Models
Version: 0.3.0
Date: 2025-01-29
Description: Parameter estimation for stochastic volatility models using maximum likelihood. The latent log-volatility is integrated out of the likelihood using the Laplace approximation. The models are fitted via 'TMB' (Template Model Builder) (Kristensen, Nielsen, Berg, Skaug, and Bell (2016) <doi:10.18637/jss.v070.i05>).
License: GPL-3
Depends: R (>= 3.5.0)
Imports: TMB, ggplot2, sn, stats, data.table, MASS
LinkingTo: RcppEigen, TMB
Suggests: testthat (>= 2.1.0), shiny, knitr, rmarkdown, stochvol
URL: https://github.com/JensWahl/stochvolTMB
BugReports: https://github.com/JensWahl/stochvolTMB/issues
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-01-31 06:56:05 UTC; jens
Author: Jens Wahl [aut, cre]
Maintainer: Jens Wahl <jens.c.wahl@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-31 09:30:02 UTC

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Package riem updated to version 1.0.0 with previous version 0.3.2 dated 2024-07-26

Title: Accesses Weather Data from the Iowa Environment Mesonet
Description: Allows to get weather data from Automated Surface Observing System (ASOS) stations (airports) in the whole world thanks to the Iowa Environment Mesonet website.
Author: Maelle Salmon [aut, cre] , Brooke Anderson [rev] , CHAI Project [fnd] , rOpenSci [fnd] , Daryl Herzmann [ctb], Jonathan Elchison [aut]
Maintainer: Maelle Salmon <maelle.salmon@yahoo.se>

Diff between riem versions 0.3.2 dated 2024-07-26 and 1.0.0 dated 2025-01-31

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Package mvp updated to version 1.0-18 with previous version 1.0-14 dated 2023-03-19

Title: Fast Symbolic Multivariate Polynomials
Description: Fast manipulation of symbolic multivariate polynomials using the 'Map' class of the Standard Template Library. The package uses print and coercion methods from the 'mpoly' package but offers speed improvements. It is comparable in speed to the 'spray' package for sparse arrays, but retains the symbolic benefits of 'mpoly'. To cite the package in publications, use Hankin 2022 <doi:10.48550/ARXIV.2210.15991>. Uses 'disordR' discipline.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package geonapi updated to version 0.8 with previous version 0.7-2 dated 2024-03-21

Title: 'GeoNetwork' API R Interface
Description: Provides an R interface to the 'GeoNetwork' API (<https://geonetwork-opensource.org/#api>) allowing to upload and publish metadata in a 'GeoNetwork' web-application and expose it to OGC CSW.
Author: Emmanuel Blondel [aut, cre]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between geonapi versions 0.7-2 dated 2024-03-21 and 0.8 dated 2025-01-31

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Package admiralvaccine updated to version 0.4.0 with previous version 0.3.0 dated 2024-08-29

Title: Vaccine Extension Package for ADaM in 'R' Asset Library
Description: Programming vaccine specific Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in 'R'. Flat model is followed as per Center for Biologics Evaluation and Research (CBER) guidelines for creating vaccine specific domains. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team (2021), <https://www.cdisc.org/standards/foundational/adam/adamig-v1-3-release-package>). The package is an extension package of the 'admiral' package.
Author: Sukalpo Saha [aut, cre], Arjun Rubalingam [aut], Ben Straub [aut], Vikram S [aut], Dhivya Kanagaraj [aut], Federico Baratin [aut], Yamini Purna Bollu [aut], Ilse Augustyns [aut], Kalyani Bodicherla [aut], Hilde Delanghe [aut], Lee Armishaw [aut], Nee [...truncated...]
Maintainer: Sukalpo Saha <sukalpo.saha@pfizer.com>

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More information about admiralvaccine at CRAN
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Package ggstackplot updated to version 0.4.1 with previous version 0.4 dated 2025-01-14

Title: Create Overlapping Stacked Plots
Description: Easily create overlapping grammar of graphics plots for scientific data visualization. This style of plotting is particularly common in climatology and oceanography research communities.
Author: Sebastian Kopf [aut, cre, cph] , Tristan Caro [aut] , Jamie McFarlin [aut] , Jon Raberg [aut]
Maintainer: Sebastian Kopf <sebastian.kopf@colorado.edu>

Diff between ggstackplot versions 0.4 dated 2025-01-14 and 0.4.1 dated 2025-01-31

 ggstackplot-0.4.1/ggstackplot/DESCRIPTION                                                                   |   13 
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 ggstackplot-0.4.1/ggstackplot/NEWS.md                                                                       |    8 
 ggstackplot-0.4.1/ggstackplot/R/ggstackplot.R                                                               |   33 +-
 ggstackplot-0.4.1/ggstackplot/R/helpers.R                                                                   |   22 +
 ggstackplot-0.4.1/ggstackplot/README.md                                                                     |  137 ++++++++--
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More information about ggstackplot at CRAN
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Package BigDataPE (with last version 0.0.9) was removed from CRAN

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

2024-12-16 0.0.9

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Package Copula.surv updated to version 1.8 with previous version 1.7 dated 2024-10-26

Title: Analysis of Bivariate Survival Data Based on Copulas
Description: Simulating bivariate survival data from copula models. Estimation of the association parameter in copula models. Two different ways to estimate the association parameter in copula models are implemented. A goodness-of-fit test for a given copula model is implemented. See Emura, Lin and Wang (2010) <doi:10.1016/j.csda.2010.03.013> for details.
Author: Takeshi Emura [aut, cre]
Maintainer: Takeshi Emura <takeshiemura@gmail.com>

Diff between Copula.surv versions 1.7 dated 2024-10-26 and 1.8 dated 2025-01-31

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More information about Copula.surv at CRAN
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