Tue, 24 Jun 2025

Package spEDM updated to version 1.7 with previous version 1.6 dated 2025-05-16

Title: Spatial Empirical Dynamic Modeling
Description: Inferring causation from spatial cross-sectional data through empirical dynamic modeling (EDM), with methodological extensions including geographical convergent cross mapping from Gao et al. (2023) <doi:10.1038/s41467-023-41619-6>, as well as the spatial causality test following the approach of Herrera et al. (2016) <doi:10.1111/pirs.12144>.
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

Diff between spEDM versions 1.6 dated 2025-05-16 and 1.7 dated 2025-06-24

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Package eNchange updated to version 1.1 with previous version 1.0 dated 2020-03-20

Title: Ensemble Methods for Multiple Change-Point Detection
Description: Implements a segmentation algorithm for multiple change-point detection in univariate time series using the Ensemble Binary Segmentation of Korkas (2022) <Journal of the Korean Statistical Society, 51(1), pp.65-86.>.
Author: Karolos K. Korkas [aut, cre]
Maintainer: Karolos K. Korkas <kkorkas@yahoo.co.uk>

Diff between eNchange versions 1.0 dated 2020-03-20 and 1.1 dated 2025-06-24

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Package ig.degree.betweenness updated to version 0.2.0 with previous version 0.1.1 dated 2025-03-11

Title: "Smith-Pittman Community Detection Algorithm for 'igraph' Objects (2024)"
Description: Implements the "Smith-Pittman" community detection algorithm for network analysis using 'igraph' objects. This algorithm combines node degree and betweenness centrality measures to identify communities within networks, with a gradient evident in social partitioning. The package provides functions for community detection, visualization, and analysis of the resulting community structure. Methods are based on results from Smith, Pittman and Xu (2024) <doi:10.48550/arXiv.2411.01394>.
Author: Benjamin Smith [aut, cre] , Tyler Pittman [aut] , Wei Xu [aut]
Maintainer: Benjamin Smith <benyamin.smith@mail.utoronto.ca>

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Package troopdata updated to version 1.0.3 with previous version 1.0.2 dated 2024-09-10

Title: Tools for Analyzing Cross-National Military Deployment and Basing Data
Description: These functions generate data frames on troop deployments and military basing using U.S. Department of Defense data on overseas military deployments. This package provides functions for pulling country-year troop deployment and basing data. Subsequent versions will hopefully include cross-national data on deploying countries.
Author: Michael Flynn [aut, cre]
Maintainer: Michael Flynn <meflynn@ksu.edu>

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Package webfakes updated to version 1.4.0 with previous version 1.3.2 dated 2025-01-11

Title: Fake Web Apps for HTTP Testing
Description: Create a web app that makes it easier to test web clients without using the internet. It includes a web app framework with path matching, parameters and templates. Can parse various 'HTTP' request bodies. Can send 'JSON' data or files from the disk. Includes a web app that implements the 'httpbin.org' web service.
Author: Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd] , Civetweb contributors [ctb] , Redoc contributors [ctb] , L. Peter Deutsch [ctb] , Martin Purschke [ctb] , Aladdin Enterprises [cph] , Maelle Salmon [ctb]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package Superpower updated to version 0.2.4 with previous version 0.2.3 dated 2025-05-15

Title: Simulation-Based Power Analysis for Factorial Designs
Description: Functions to perform simulations of ANOVA designs of up to three factors. Calculates the observed power and average observed effect size for all main effects and interactions in the ANOVA, and all simple comparisons between conditions. Includes functions for analytic power calculations and additional helper functions that compute effect sizes for ANOVA designs, observed error rates in the simulations, and functions to plot power curves. Please see Lakens, D., & Caldwell, A. R. (2021). "Simulation-Based Power Analysis for Factorial Analysis of Variance Designs". <doi:10.1177/2515245920951503>.
Author: Aaron Caldwell [aut, cre], Daniel Lakens [aut], Lisa DeBruine [ctb], Jonathon Love [ctb], Frederik Aust [ctb]
Maintainer: Aaron Caldwell <arcaldwell49@gmail.com>

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Package hmmTMB updated to version 1.1.0 with previous version 1.0.2 dated 2023-10-24

Title: Fit Hidden Markov Models using Template Model Builder
Description: Fitting hidden Markov models using automatic differentiation and Laplace approximation, allowing for fast inference and flexible covariate effects (including random effects and smoothing splines) on model parameters. The package is described by Michelot (2022) <doi:10.48550/arXiv.2211.14139>.
Author: Theo Michelot [aut, cre], Richard Glennie [aut, ctb]
Maintainer: Theo Michelot <theo.michelot@dal.ca>

Diff between hmmTMB versions 1.0.2 dated 2023-10-24 and 1.1.0 dated 2025-06-24

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 R/make_mat.R                                                       |   38 
 R/markovchain.R                                                    |   36 
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Package shiny updated to version 1.11.0 with previous version 1.10.0 dated 2024-12-13

Title: Web Application Framework for R
Description: Makes it incredibly easy to build interactive web applications with R. Automatic "reactive" binding between inputs and outputs and extensive prebuilt widgets make it possible to build beautiful, responsive, and powerful applications with minimal effort.
Author: Winston Chang [aut, cre] , Joe Cheng [aut], JJ Allaire [aut], Carson Sievert [aut] , Barret Schloerke [aut] , Yihui Xie [aut], Jeff Allen [aut], Jonathan McPherson [aut], Alan Dipert [aut], Barbara Borges [aut], Posit Software, PBC [cph, fnd], jQuery [...truncated...]
Maintainer: Winston Chang <winston@posit.co>

Diff between shiny versions 1.10.0 dated 2024-12-13 and 1.11.0 dated 2025-06-24

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Package OlinkAnalyze updated to version 4.3.0 with previous version 4.2.0 dated 2025-02-24

Title: Facilitate Analysis of Proteomic Data from Olink
Description: A collection of functions to facilitate analysis of proteomic data from Olink, primarily NPX data that has been exported from Olink Software. The functions also work on QUANT data from Olink by log- transforming the QUANT data. The functions are focused on reading data, facilitating data wrangling and quality control analysis, performing statistical analysis and generating figures to visualize the results of the statistical analysis. The goal of this package is to help users extract biological insights from proteomic data run on the Olink platform.
Author: Kathleen Nevola [aut, cre] , Marianne Sandin [aut] , Jamey Guess [aut] , Simon Forsberg [aut] , Christoffer Cambronero [aut] , Pascal Pucholt [aut] , Boxi Zhang [aut] , Masoumeh Sheikhi [aut] , Klev Diamanti [aut] , Amrita Kar [aut] , Lei Conze [aut] [...truncated...]
Maintainer: Kathleen Nevola <biostattools@olink.com>

Diff between OlinkAnalyze versions 4.2.0 dated 2025-02-24 and 4.3.0 dated 2025-06-24

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Package Cyclops updated to version 3.5.2 with previous version 3.5.1 dated 2025-04-11

Title: Cyclic Coordinate Descent for Logistic, Poisson and Survival Analysis
Description: This model fitting tool incorporates cyclic coordinate descent and majorization-minimization approaches to fit a variety of regression models found in large-scale observational healthcare data. Implementations focus on computational optimization and fine-scale parallelization to yield efficient inference in massive datasets. Please see: Suchard, Simpson, Zorych, Ryan and Madigan (2013) <doi:10.1145/2414416.2414791>.
Author: Marc A. Suchard [aut, cre], Martijn J. Schuemie [aut], Trevor R. Shaddox [aut], Yuxi Tian [aut], Jianxiao Yang [aut], Eric Kawaguchi [aut], Sushil Mittal [ctb], Observational Health Data Sciences and Informatics [cph], Marcus Geelnard [cph, ctb] , Ru [...truncated...]
Maintainer: Marc A. Suchard <msuchard@ucla.edu>

Diff between Cyclops versions 3.5.1 dated 2025-04-11 and 3.5.2 dated 2025-06-24

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Package ssifs updated to version 1.0.5 with previous version 1.0.4 dated 2025-02-04

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>

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Package RcppRedis updated to version 0.2.6 with previous version 0.2.5 dated 2025-03-26

Title: 'Rcpp' Bindings for 'Redis' using the 'hiredis' Library
Description: Connection to the 'Redis' (or 'Valkey') key/value store using the C-language client library 'hiredis' (included as a fallback) with 'MsgPack' encoding provided via 'RcppMsgPack' headers. It now also includes the pub/sub functions from the 'rredis' package.
Author: Dirk Eddelbuettel [aut, cre] , Bryan Lewis [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package daiquiri updated to version 1.2.0 with previous version 1.1.1 dated 2023-07-18

Title: Data Quality Reporting for Temporal Datasets
Description: Generate reports that enable quick visual review of temporal shifts in record-level data. Time series plots showing aggregated values are automatically created for each data field (column) depending on its contents (e.g. min/max/mean values for numeric data, no. of distinct values for categorical data), as well as overviews for missing values, non-conformant values, and duplicated rows. The resulting reports are shareable and can contribute to forming a transparent record of the entire analysis process. It is designed with Electronic Health Records in mind, but can be used for any type of record-level temporal data (i.e. tabular data where each row represents a single "event", one column contains the "event date", and other columns contain any associated values for the event).
Author: T. Phuong Quan [aut, cre] , Jack Cregan [ctb], University of Oxford [cph], National Institute for Health Research [fnd], Brad Cannell [rev]
Maintainer: T. Phuong Quan <phuong.quan@ndm.ox.ac.uk>

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Package admiraldev updated to version 1.3.0 with previous version 1.2.0 dated 2025-01-15

Title: Utility Functions and Development Tools for the Admiral Package Family
Description: Utility functions to check data, variables and conditions for functions used in 'admiral' and 'admiral' extension packages. Additional utility helper functions to assist developers with maintaining documentation, testing and general upkeep of 'admiral' and 'admiral' extension packages.
Author: Ben Straub [aut, cre], Stefan Bundfuss [aut] , Jeffrey Dickinson [aut], Ross Farrugia [aut], Fanny Gautier [aut], Edoardo Mancini [aut] , Gordon Miller [aut], Daniel Sjoberg [aut] , Stefan Thoma [aut] , F. Hoffmann-La Roche AG [cph, fnd], GlaxoSmithK [...truncated...]
Maintainer: Ben Straub <ben.x.straub@gsk.com>

Diff between admiraldev versions 1.2.0 dated 2025-01-15 and 1.3.0 dated 2025-06-24

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Package statgenSTA updated to version 1.0.15 with previous version 1.0.14 dated 2024-10-14

Title: Single Trial Analysis (STA) of Field Trials
Description: Phenotypic analysis of field trials using mixed models with and without spatial components. One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris. Some functions have been created to be used in conjunction with the R package 'asreml' for the 'ASReml' software, which can be obtained upon purchase from 'VSN' international (<https://vsni.co.uk/software/asreml-r/>).
Author: Bart-Jan van Rossum [aut, cre] , Fred van Eeuwijk [ctb] , Martin Boer [ctb] , Marcos Malosetti [ctb] , Daniela Bustos-Korts [ctb] , Emilie J. Millet [ctb] , Joao Paulo [ctb] , Maikel Verouden [ctb] , Willem Kruijer [ctb] , Ron Wehrens [ctb] , Choazhi [...truncated...]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package statgenGxE updated to version 1.0.10 with previous version 1.0.9 dated 2024-09-18

Title: Genotype by Environment (GxE) Analysis
Description: Analysis of multi environment data of plant breeding experiments following the analyses described in Malosetti, Ribaut, and van Eeuwijk (2013), <doi:10.3389/fphys.2013.00044>. One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris. Some functions have been created to be used in conjunction with the R package 'asreml' for the 'ASReml' software, which can be obtained upon purchase from 'VSN' international (<https://vsni.co.uk/software/asreml-r/>).
Author: Bart-Jan van Rossum [aut, cre], Fred van Eeuwijk [ctb] , Martin Boer [ctb], Marcos Malosetti [ctb] , Daniela Bustos-Korts [ctb] , Emilie J Millet [ctb] , Joao Paulo [ctb] , Maikel Verouden [ctb] , Willem Kruijer [ctb] , Ron Wehrens [ctb] , Choazhi Zh [...truncated...]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package simDAG updated to version 0.3.2 with previous version 0.3.1 dated 2025-05-28

Title: Simulate Data from a DAG and Associated Node Information
Description: Simulate complex data from a given directed acyclic graph and information about each individual node. Root nodes are simply sampled from the specified distribution. Child Nodes are simulated according to one of many implemented regressions, such as logistic regression, linear regression, poisson regression and more. Also includes a comprehensive framework for discrete-time simulation, which can generate even more complex longitudinal data. For more details, see Robin Denz, Nina Timmesfeld (2025) <doi:10.48550/arXiv.2506.01498>.
Author: Robin Denz [aut, cre], Katharina Meiszl [aut]
Maintainer: Robin Denz <robin.denz@rub.de>

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Package MIMER updated to version 1.0.4 with previous version 1.0.3 dated 2024-06-16

Title: Data Wrangling for Antimicrobial Resistance Studies
Description: Designed for analyzing the Medical Information Mart for Intensive Care(MIMIC) dataset, a repository of freely accessible electronic health records. MIMER(MIMIC-enabled Research) package, offers a suite of data wrangling functions tailored specifically for preparing the dataset for research purposes, particularly in antimicrobial resistance(AMR) studies. It simplifies complex data manipulation tasks, allowing researchers to focus on their primary inquiries without being bogged down by wrangling complexities.
Author: Anoop Velluva [aut, cre] , Alessandro Gerada [ctb] , Alexander Howard [ctb]
Maintainer: Anoop Velluva <anoop.velluva@liverpool.ac.uk>

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New package limSolve with initial version 2.0.1
Package: limSolve
Version: 2.0.1
Title: Solving Linear Inverse Models
Author: Karline Soetaert [aut, cre], Karel Van den Meersche [aut], Dick van Oevelen [aut], Charles L. Lawson [ctb] , Richard J. Hanson [ctb] , Jack Dongarra [ctb] , Cleve Moler [ctb]
Maintainer: Karline Soetaert <karline.soetaert@nioz.nl>
Depends: R (>= 2.10)
Imports: quadprog, lpSolve, MASS
Description: Functions that (1) find the minimum/maximum of a linear or quadratic function: min or max (f(x)), where f(x) = ||Ax-b||^2 or f(x) = sum(a_i*x_i) subject to equality constraints Ex=f and/or inequality constraints Gx>=h, (2) sample an underdetermined- or overdetermined system Ex=f subject to Gx>=h, and if applicable Ax~=b, (3) solve a linear system Ax=B for the unknown x. It includes banded and tridiagonal linear systems.
License: GPL
Copyright: inst/COPYRIGHTS
LazyData: yes
NeedsCompilation: yes
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Repository: CRAN
Packaged: 2025-06-24 08:51:21 UTC; karlines
Date/Publication: 2025-06-24 13:30:13 UTC

More information about limSolve at CRAN
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Package explore updated to version 1.3.5 with previous version 1.3.4 dated 2025-03-30

Title: Simplifies Exploratory Data Analysis
Description: Interactive data exploration with one line of code, automated reporting or use an easy to remember set of tidy functions for low code exploratory data analysis.
Author: Roland Krasser [aut, cre]
Maintainer: Roland Krasser <roland.krasser@gmail.com>

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Package eq5dsuite updated to version 1.0.1 with previous version 1.0.0 dated 2024-05-21

Title: Handling and Analysing EQ-5d Data
Description: The EQ-5D is a widely-used standarized instrument for measuring Health Related Quality Of Life (HRQOL), developed by the EuroQol group <https://euroqol.org/>. It assesses five dimensions; mobility, self-care, usual activities, pain/discomfort, and anxiety/depression, using either a three-level (EQ-5D-3L) or five-level (EQ-5D-5L) scale. Scores from these dimensions are commonly converted into a single utility index using country-specific value sets, which are critical in clinical and economic evaluations of healthcare and in population health surveys. The eq5dsuite package enables users to calculate utility index values for the EQ-5D instruments, including crosswalk utilities using the original crosswalk developed by van Hout et al. (2012) <doi:10.1016/j.jval.2012.02.008> (mapping EQ-5D-5L responses to EQ-5D-3L index values), or the recently developed reverse crosswalk by van Hout et al. (2021) <doi:10.1016/j.jval.2021.03.009> (mapping EQ-5D-3L responses to EQ-5D-5L in [...truncated...]
Author: Kim Rand [aut, cre] , Iryna Schlackow [aut] , Anabel Estevez-Carrillo [aut]
Maintainer: Kim Rand <krand@mathsinhealth.com>

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More information about eq5dsuite at CRAN
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Package directlabels updated to version 2025.6.24 with previous version 2025.5.20 dated 2025-05-20

Title: Direct Labels for Multicolor Plots
Description: An extensible framework for automatically placing direct labels onto multicolor 'lattice' or 'ggplot2' plots. Label positions are described using Positioning Methods which can be re-used across several different plots. There are heuristics for examining "trellis" and "ggplot" objects and inferring an appropriate Positioning Method.
Author: Toby Dylan Hocking [aut, cre]
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

Diff between directlabels versions 2025.5.20 dated 2025-05-20 and 2025.6.24 dated 2025-06-24

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Package bartXViz updated to version 1.0.5 with previous version 1.0.3 dated 2025-04-28

Title: Visualization of BART and BARP using SHAP
Description: Complex machine learning models are often difficult to interpret. Shapley values serve as a powerful tool to understand and explain why a model makes a particular prediction. This package computes variable contributions using permutation-based Shapley values for Bayesian Additive Regression Trees (BART) and its extension with Post-Stratification (BARP). The permutation-based SHAP method proposed by Strumbel and Kononenko (2014) <doi:10.1007/s10115-013-0679-x> is grounded in data obtained via MCMC sampling. Similar to the BART model introduced by Chipman, George, and McCulloch (2010) <doi:10.1214/09-AOAS285>, this package leverages Bayesian posterior samples generated during model estimation, allowing variable contributions to be computed without requiring additional sampling. For XGBoost and baseline adjustments, the approach by Lundberg et al. (2020) <doi:10.1038/s42256-019-0138-9> is also considered.The BARP model proposed by Bisbee (2019) <doi:10.1017/S000305541 [...truncated...]
Author: Dong-eun Lee [aut, cre], Eun-Kyung Lee [aut]
Maintainer: Dong-eun Lee <ldongeun.leel@gmail.com>

Diff between bartXViz versions 1.0.3 dated 2025-04-28 and 1.0.5 dated 2025-06-24

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New package abn with initial version 3.1.8
Package: abn
Title: Modelling Multivariate Data with Additive Bayesian Networks
Version: 3.1.8
Date: 2025-06-24
Description: The 'abn' R package facilitates Bayesian network analysis, a probabilistic graphical model that derives from empirical data a directed acyclic graph (DAG). This DAG describes the dependency structure between random variables. The R package 'abn' provides routines to help determine optimal Bayesian network models for a given data set. These models are used to identify statistical dependencies in messy, complex data. Their additive formulation is equivalent to multivariate generalised linear modelling, including mixed models with independent and identically distributed (iid) random effects. The core functionality of the 'abn' package revolves around model selection, also known as structure discovery. It supports both exact and heuristic structure learning algorithms and does not restrict the data distribution of parent-child combinations, providing flexibility in model creation and analysis. The 'abn' package uses Laplace approximations for metric estimation and includes wrappers to the [...truncated...]
License: GPL (>= 3)
URL: https://r-bayesian-networks.org/, https://github.com/furrer-lab/abn
BugReports: https://github.com/furrer-lab/abn/issues
Depends: R (>= 4.0.0)
Imports: doParallel, foreach, graph, lme4, mclogit, methods, nnet, Rcpp, Rgraphviz, rjags, stringi
Suggests: bookdown, boot, brglm, devtools (>= 2.4.5), ggplot2, gridExtra, INLA, knitr, Matrix, MatrixModels (>= 0.5.3), microbenchmark, R.rsp, RhpcBLASctl, rmarkdown, testthat (>= 3.0.0), entropy, moments, R6
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Additional_repositories: https://inla.r-inla-download.org/R/stable/
Encoding: UTF-8
LazyData: TRUE
SystemRequirements: pkg-config, cmake, gsl, jpeg, gdal, geos, proj, udunits-2, openssl, libcurl, jags
NeedsCompilation: yes
Packaged: 2025-06-24 08:39:51 UTC; root
Author: Matteo Delucchi [aut, cre] , Reinhard Furrer [aut] , Gilles Kratzer [aut] , Fraser Iain Lewis [aut] , Jonas I. Liechti [ctb] , Marta Pittavino [ctb] , Kalina Cherneva [ctb]
Maintainer: Matteo Delucchi <matteo.delucchi@math.uzh.ch>
Repository: CRAN
Date/Publication: 2025-06-24 13:30:26 UTC

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Package mlr3fairness updated to version 0.4.0 with previous version 0.3.2 dated 2023-05-04

Title: Fairness Auditing and Debiasing for 'mlr3'
Description: Integrates fairness auditing and bias mitigation methods for the 'mlr3' ecosystem. This includes fairness metrics, reporting tools, visualizations and bias mitigation techniques such as "Reweighing" described in 'Kamiran, Calders' (2012) <doi:10.1007/s10115-011-0463-8> and "Equalized Odds" described in 'Hardt et al.' (2016) <https://papers.nips.cc/paper/2016/file/9d2682367c3935defcb1f9e247a97c0d-Paper.pdf>. Integration with 'mlr3' allows for auditing of ML models as well as convenient joint tuning of machine learning algorithms and debiasing methods.
Author: Florian Pfisterer [cre, aut] , Wei Siyi [aut], Michel Lang [aut]
Maintainer: Florian Pfisterer <pfistererf@googlemail.com>

Diff between mlr3fairness versions 0.3.2 dated 2023-05-04 and 0.4.0 dated 2025-06-24

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Package EDCimport updated to version 0.6.0 with previous version 0.5.2 dated 2024-11-14

Title: Import Data from EDC Software
Description: A convenient toolbox to import data exported from Electronic Data Capture (EDC) software 'TrialMaster'.
Author: Dan Chaltiel [aut, cre]
Maintainer: Dan Chaltiel <dan.chaltiel@gmail.com>

Diff between EDCimport versions 0.5.2 dated 2024-11-14 and 0.6.0 dated 2025-06-24

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Package diceplot updated to version 0.2.0 with previous version 0.1.7 dated 2025-04-14

Title: High Dimensional Categorical Data Visualization
Description: Easy visualization for datasets with more than two categorical variables and additional continuous variables. 'diceplot' is particularly useful for exploring complex categorical data in the context of pathway analysis across multiple conditions. For a detailed documentation please visit <https://dice-and-domino-plot.readthedocs.io/en/latest/>.
Author: Matthias Flotho [aut, cre]
Maintainer: Matthias Flotho <matthias.flotho@ccb.uni-saarland.de>

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Package simecol updated to version 0.9-3 with previous version 0.9-2 dated 2025-05-19

Title: Simulation of Ecological (and Other) Dynamic Systems
Description: An object oriented framework to simulate ecological (and other) dynamic systems. It can be used for differential equations, individual-based (or agent-based) and other models as well. It supports structuring of simulation scenarios (to avoid copy and paste) and aims to improve readability and re-usability of code.
Author: Thomas Petzoldt [aut, cre]
Maintainer: Thomas Petzoldt <thomas.petzoldt@tu-dresden.de>

Diff between simecol versions 0.9-2 dated 2025-05-19 and 0.9-3 dated 2025-06-24

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Package fluxible updated to version 1.2.6 with previous version 1.2.2 dated 2025-06-05

Title: Ecosystem Gas Fluxes Calculations for Closed Loop Chamber Setup
Description: Processes the raw data from closed loop flux chamber (or tent) setups into ecosystem gas fluxes usable for analysis. It goes from a data frame of gas concentration over time (which can contain several measurements) and a meta data file indicating which measurement was done when, to a data frame of ecosystem gas fluxes including quality diagnostics. Functions provided include different models (exponential as described in Zhao et al (2018) <doi:10.1016/j.agrformet.2018.08.022>, quadratic and linear) to estimate the fluxes from the raw data, quality assessment, plotting for visual check and calculation of fluxes based on the setup specific parameters (chamber size, plot area, ...).
Author: Joseph Gaudard [aut, cre] , Richard James Telford [aut]
Maintainer: Joseph Gaudard <joseph.gaudard@pm.me>

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Package pacta.loanbook updated to version 0.1.1 with previous version 0.1.0 dated 2025-03-17

Title: Easily Install and Load PACTA for Banks Packages
Description: PACTA (Paris Agreement Capital Transition Assessment) for Banks is a tool that allows banks to calculate the climate alignment of their corporate lending portfolios. This package is designed to make it easy to install and load multiple PACTA for Banks packages in a single step. It also provides thorough documentation - the PACTA for Banks cookbook at <https://rmi-pacta.github.io/pacta.loanbook/articles/cookbook_overview.html> - on how to run a PACTA for Banks analysis. This covers prerequisites for the analysis, the separate steps of running the analysis, the interpretation of PACTA for Banks results, and advanced use cases.
Author: Jacob Kastl [aut, cre, ctr] , Jackson Hoffart [aut, ctr] , CJ Yetman [aut, ctr] , RMI [cph, fnd]
Maintainer: Jacob Kastl <jacob.kastl@gmail.com>

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New package notionR with initial version 0.0.9
Package: notionR
Title: R Wrapper for 'Notion' API
Version: 0.0.9
Date: 2025-06-09
Maintainer: Eduardo Flores <eduardo@enelmargen.org>
Description: Provides functions to query databases and notes in 'Notion', using the official REST API. To learn more about the functionality of the 'Notion' API, see <https://developers.notion.com/>.
License: MIT + file LICENSE
URL: <https://www.enelmargen.org/notionR/>
Depends: R (>= 2.10)
Imports: dplyr, httr, httr2, stringi, tibble, tidyr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-06-21 11:36:51 UTC; edulomas
Author: Eduardo Flores [aut, cre]
Repository: CRAN
Date/Publication: 2025-06-24 09:20:02 UTC

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New package ggmRSCU with initial version 0.1.0
Package: ggmRSCU
Title: Visualizing Multi-Species Relative Synonymous Codon Usage and Extensible Data Exploration
Version: 0.1.0
Author: Xunhuan Ding [aut, cre, cph], Mingru Fu [ctb], Guojun Xing [ctb], Xinxin Ding [ctb], Xiaoli Liu [aut, ths], Tao Sun [aut, ths]
Maintainer: Xunhuan Ding <xunhuanding@163.com>
Description: Facilitates efficient visualization of Relative Synonymous Codon Usage patterns across species. Based on analytical outputs from 'codonW', 'MEGA', and 'Phylosuite', it supports multi-species 'RSCU' comparisons and allows users to explore visual analysis of structurally similar datasets.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: data.table, dplyr, ggplot2, patchwork, purrr, rlang, stats, tidyr, utils
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2025-06-21 04:34:47 UTC; 神说他住在东海
Repository: CRAN
Date/Publication: 2025-06-24 09:10:02 UTC

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Package Dogoftest updated to version 0.2 with previous version 0.1 dated 2025-02-18

Title: Distributed Online Goodness-of-Fit Tests for Distributed Datasets
Description: Distributed Online Goodness-of-Fit Test can process the distributed datasets. The philosophy of the package is described in Guo G.(2024) <doi:10.1016/j.apm.2024.115709>.
Author: Guangbao Guo [aut, cre] , Di Chang [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

Diff between Dogoftest versions 0.1 dated 2025-02-18 and 0.2 dated 2025-06-24

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New package boilerplate with initial version 1.3.0
Package: boilerplate
Title: Managing and Compiling Manuscript Templates
Version: 1.3.0
Author: Joseph Bulbulia [aut, cre]
Maintainer: Joseph Bulbulia <joseph.bulbulia@gmail.com>
Description: Managing and generating standardised text for methods and results sections of scientific reports. It handles template variable substitution and supports hierarchical organisation of text through dot-separated paths. The package supports both RDS and JSON database formats, enabling version control and cross-language compatibility.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: cli, digest, jsonlite, jsonvalidate, tools, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://go-bayes.github.io/boilerplate/, https://github.com/go-bayes/boilerplate
BugReports: https://github.com/go-bayes/boilerplate/issues
NeedsCompilation: no
Packaged: 2025-06-21 04:16:01 UTC; joseph
Repository: CRAN
Date/Publication: 2025-06-24 09:10:06 UTC

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New package aamatch with initial version 0.3.7
Package: aamatch
Title: Artless Automatic Multivariate Matching for Observational Studies
Version: 0.3.7
Maintainer: Paul Rosenbaum <rosenbaum@wharton.upenn.edu>
Description: Implements a simple version of multivariate matching using a propensity score, near-exact matching, near-fine balance, and robust Mahalanobis distance matching (Rosenbaum 2020 <doi:10.1146/annurev-statistics-031219-041058>). You specify the variables, and the program does everything else.
License: GPL-2
Encoding: UTF-8
Imports: iTOS, stats
Suggests: DOS2, sensitivity2x2xk, sensitivitymv, weightedRank, xtable
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2025-06-21 15:13:31 UTC; rosenbap
Author: Paul Rosenbaum [aut, cre]
Repository: CRAN
Date/Publication: 2025-06-24 09:40:02 UTC

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New package vitals with initial version 0.1.0
Package: vitals
Title: Large Language Model Evaluation
Version: 0.1.0
Description: A port of 'Inspect', a widely adopted 'Python' framework for large language model evaluation. Specifically aimed at 'ellmer' users who want to measure the effectiveness of their large language model-based products, the package supports prompt engineering, tool usage, multi-turn dialog, and model graded evaluations.
License: MIT + file LICENSE
URL: https://github.com/tidyverse/vitals, https://vitals.tidyverse.org
BugReports: https://github.com/tidyverse/vitals/issues
Depends: R (>= 4.1)
Imports: cli, dplyr, ellmer (>= 0.2.1), glue, httpuv, jsonlite, purrr, R6, rlang, rstudioapi, S7, tibble, tidyr, withr
Suggests: ggplot2, here, htmltools, knitr, ordinal, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-06-20 14:24:36 UTC; simoncouch
Author: Simon Couch [aut, cre] , Max Kuhn [ctb], Hadley Wickham [ctb] , Mine Cetinkaya-Rundel [ctb] , Posit Software, PBC [cph, fnd]
Maintainer: Simon Couch <simon.couch@posit.co>
Repository: CRAN
Date/Publication: 2025-06-24 09:00:02 UTC

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New package paddleR with initial version 0.1.2
Package: paddleR
Title: Wrapper for 'Paddle' API (Application Programming Interface)
Version: 0.1.2
Description: A wrapper for 'Paddle' - The Merchant of Record for digital products API (Application Programming Interface) <https://developer.paddle.com/api-reference/overview>. Provides functions to manage and analyze products, customers, invoices and many more.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: httr2, rlang
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
URL: https://arnold-kakas.github.io/paddleR/, https://github.com/Arnold-Kakas/paddleR
BugReports: https://github.com/Arnold-Kakas/paddleR/issues
NeedsCompilation: no
Packaged: 2025-06-20 06:30:52 UTC; Arnold
Author: Arnold Kakas [aut, cre, cph]
Maintainer: Arnold Kakas <kakasarnold@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-24 08:20:02 UTC

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New package OpenBARD with initial version 0.0.1
Package: OpenBARD
Title: Open British Arboricultural Record Dataset
Version: 0.0.1
Description: Data used in compiling the Handbook of UK Urban Tree Allometric Equations and Size Characteristics (Fennel 2024). The data include measurements of height, crown radius and diameter at breast height (DBH) for UK urban trees. For more details see Fennell (2024) Handbook of UK Urban Tree Allometric Equations and Size Characteristics (Version 1.4). <doi:10.13140/RG.2.2.28745.04961>.
URL: https://codeberg.org/drdcarpenter/OpenBARD
BugReports: https://codeberg.org/drdcarpenter/OpenBARD/issues
License: GPL-3
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2025-06-20 11:42:22 UTC; danc
Author: Dan Carpenter [aut, cre, cpt]
Maintainer: Dan Carpenter <dan@dan-carpenter.co.uk>
Repository: CRAN
Date/Publication: 2025-06-24 08:50:09 UTC

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New package movedesign with initial version 0.3.1
Package: movedesign
Title: Study Design Toolbox for Movement Ecology Studies
Version: 0.3.1
Maintainer: Ines Silva <i.simoes-silva@hzdr.de>
Description: Toolbox and 'shiny' application to help researchers design movement ecology studies, focusing on two key objectives: estimating home range areas, and estimating fine-scale movement behavior, specifically speed and distance traveled. It provides interactive simulations and methodological guidance to support study planning and decision-making. The application is described in Silva et al. (2023) <doi:10.1111/2041-210X.14153>.
License: GPL (>= 3)
URL: https://ecoisilva.github.io/movedesign/, https://ecoisilva.r-universe.dev/movedesign
BugReports: https://github.com/ecoisilva/movedesign/issues
Depends: R (>= 3.5.0)
Imports: bayestestR, bsplus, combinat, config (>= 0.3.1), crayon, ctmm (>= 0.6.1), data.table, dplyr, fontawesome, gdtools, ggiraph, ggplot2, ggpubr, ggtext, golem (>= 0.3.2), grDevices, gsl, lubridate, parallel, parsedate, quarto, reactable, rintrojs, rlang, scales, shiny (>= 1.7.1), shinyalert, shinybusy, shinydashboard, shinydashboardPlus, shinyFeedback, shinyjs, shinyWidgets, stats, stringr, terra, tidyr, utils, viridis
Suggests: knitr, rmarkdown, shinytest2
VignetteBuilder: knitr, quarto
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-06-19 11:09:55 UTC; simoes48
Author: Ines Silva [cre, aut, cph]
Repository: CRAN
Date/Publication: 2025-06-24 08:50:01 UTC

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New package fastpolicytree with initial version 1.0
Package: fastpolicytree
Title: Constructs Policy Trees from Covariate and Reward Data
Version: 1.0
Description: Constructs optimal policy trees which provide a rule-based treatment prescription policy. Input is covariate and reward data, where, typically, the rewards will be doubly robust reward estimates. This package aims to construct optimal policy trees more quickly than the existing 'policytree' package and is intended to be used alongside that package. For more details see Cussens, Hatamyar, Shah and Kreif (2025) <doi:10.48550/arXiv.2506.15435>.
URL: https://github.com/jcussens/tailoring
Suggests: policytree
Imports: Rcpp (>= 1.0.7)
LinkingTo: Rcpp
Encoding: UTF-8
License: GPL (>= 3)
NeedsCompilation: yes
Packaged: 2025-06-20 11:36:28 UTC; uw20605
Author: James Cussens [aut, cre] , Julia Hatamyar [ctb], Vishalie Shah [ctb], University of Bristol [cph], MRC [fnd]
Maintainer: James Cussens <james.cussens@bristol.ac.uk>
Repository: CRAN
Date/Publication: 2025-06-24 08:50:06 UTC

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Package traumar updated to version 1.2.1 with previous version 1.2.0 dated 2025-05-22

Title: Calculate Metrics for Trauma System Performance
Description: Hospitals, hospital systems, and even trauma systems that provide care to injured patients may not be aware of robust metrics that can help gauge the efficacy of their programs in saving the lives of injured patients. 'traumar' provides robust functions driven by the academic literature to automate the calculation of relevant metrics to individuals desiring to measure the performance of their trauma center or even a trauma system. 'traumar' also provides some helper functions for the data analysis journey. Users can refer to the following publications for descriptions of the methods used in 'traumar'. TRISS methodology, including probability of survival, and the W, M, and Z Scores - Flora (1978) <doi:10.1097/00005373-197810000-00003>, Boyd et al. (1987, PMID:3106646), Llullaku et al. (2009) <doi:10.1186/1749-7922-4-2>, Singh et al. (2011) <doi:10.4103/0974-2700.86626>, Baker et al. (1974, PMID:4814394), and Champion et al. (1989) <doi:10.1097/00005373-198905000- [...truncated...]
Author: Nicolas Foss [aut, cre], Iowa Department of Health and Human Services [cph]
Maintainer: Nicolas Foss <nicolas.foss@hhs.iowa.gov>

Diff between traumar versions 1.2.0 dated 2025-05-22 and 1.2.1 dated 2025-06-24

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Package ramify updated to version 0.4.0 with previous version 0.3.3 dated 2016-12-17

Title: Additional Matrix Functionality
Description: Additional matrix functionality for R including: (1) wrappers for the base matrix function that allow matrices to be created from character strings and lists (the former is especially useful for creating block matrices), (2) better printing of large matrices via the generic "pretty" print function, and (3) a number of convenience functions for users more familiar with other scientific languages like 'Julia', 'Matlab'/'Octave', or 'Python'+'NumPy'.
Author: Brandon M. Greenwell [aut, cre]
Maintainer: Brandon M. Greenwell <greenwell.brandon@gmail.com>

Diff between ramify versions 0.3.3 dated 2016-12-17 and 0.4.0 dated 2025-06-24

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New package NMRphasing with initial version 1.0.7
Package: NMRphasing
Title: Phase Error Correction and Baseline Correction for One Dimensional ('1D') 'NMR' Data
Version: 1.0.7
Maintainer: Aixiang Jiang <aijiang@bccrc.ca>
Depends: R (>= 4.3.0)
Suggests: knitr, rmarkdown, ggpubr, conflicted
VignetteBuilder: knitr
Imports: stats, baseline, splines, MassSpecWavelet, signal
Description: There are three distinct approaches for phase error correction, they are: a single linear model with a choice of optimization functions, multiple linear models with optimization function choices and a shrinkage-based method. The methodology is based on our new algorithms and various references (Binczyk et al. (2015) <doi:10.1186/1475-925X-14-S2-S5>,Chen et al. (2002) <doi:10.1016/S1090-7807(02)00069-1>, de Brouwer (2009) <doi:10.1016/j.jmr.2009.09.017>, Džakula (2000) <doi:10.1006/jmre.2000.2123>, Ernst (1969) <doi:10.1016/0022-2364(69)90003-1>, Liland et al. (2010) <doi:10.1366/000370210792434350>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-06-23 20:07:47 UTC; aijiang
Author: Aixiang Jiang [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-06-24 08:00:12 UTC

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New package libdeflate with initial version 1.24-2
Package: libdeflate
Title: DEFLATE Compression and Static Library
Version: 1.24-2
Description: Whole-buffer DEFLATE-based compression and decompression of raw vectors using the 'libdeflate' library (see <https://github.com/ebiggers/libdeflate>). Provides the user with additional control over the speed and the quality of DEFLATE compression compared to the fixed level of compression offered in R's 'memCompress()' function. Also provides the 'libdeflate' static library and 'C' headers along with a 'CMake' target and 'package‑config' file that ease linking of 'libdeflate' in packages that compile and statically link bundled libraries using 'CMake'.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: GNU make, CMake
BugReports: https://github.com/tylermorganwall/libdeflate/issues
NeedsCompilation: yes
Packaged: 2025-06-24 02:47:51 UTC; tyler
Author: Tyler Morgan-Wall [aut, cre] , Eric Biggers [aut, cph], Google LLC [cph], Kevin Ushey [cph]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-24 08:00:07 UTC

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Package FlowScreen updated to version 2.0 with previous version 1.2.6 dated 2019-04-05

Title: Daily Streamflow Trend and Change Point Screening
Description: Screens daily streamflow time series for temporal trends and change-points. This package has been primarily developed for assessing the quality of daily streamflow time series. It also contains tools for plotting and calculating many different streamflow metrics. The package can be used to produce summary screening plots showing change-points and significant temporal trends for high flow, low flow, and/or baseflow statistics, or it can be used to perform more detailed hydrological time series analyses. The package was designed for screening daily streamflow time series from Water Survey Canada and the United States Geological Survey but will also work with streamflow time series from many other agencies. Package update to version 2.0 made updates to read.flows function to allow loading of GRDC and ROBIN streamflow record formats. This package uses the `changepoint` package for change point detection. For more information on change point methods, see the changepoint package at <https [...truncated...]
Author: Jennifer Dierauer [aut, cre], Paul Whitfield [aut]
Maintainer: Jennifer Dierauer <jen.r.brand@gmail.com>

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Package extractFAERS updated to version 0.1.4 with previous version 0.1.2 dated 2025-04-20

Title: Extract Data from FAERS Database
Description: Provides functions to extract and process data from the FDA Adverse Event Reporting System (FAERS). It facilitates the conversion of raw FAERS data published after 2014Q3 into structured formats for analysis. See Yang et al. (2022) <doi:10.3389/fphar.2021.772768> for related information.
Author: Renjun Yang [ctb], Renjun Yang [aut, cre]
Maintainer: Renjun Yang <rjyang@rcees.ac.cn>

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Package CrossCarry updated to version 0.5.0 with previous version 0.4.0 dated 2024-09-24

Title: Analysis of Data from a Crossover Design with GEE
Description: Analyze data from a crossover design using generalized estimation equations (GEE), including carryover effects and various correlation structures based on the Kronecker product. It contains functions for semiparametric estimates of carry-over effects in repeated measures and allows estimation of complex carry-over effects. Related work includes: a) Cruz N.A., Melo O.O., Martinez C.A. (2023). "CrossCarry: An R package for the analysis of data from a crossover design with GEE". <doi:10.48550/arXiv.2304.02440>. b) Cruz N.A., Melo O.O., Martinez C.A. (2023). "A correlation structure for the analysis of Gaussian and non-Gaussian responses in crossover experimental designs with repeated measures". <doi:10.1007/s00362-022-01391-z> and c) Cruz N.A., Melo O.O., Martinez C.A. (2023). "Semiparametric generalized estimating equations for repeated measurements in cross-over designs". <doi:10.1177/09622802231158736>.
Author: Nelson Alirio Cruz Gutierrez [aut, cre, cph], Oscar Orlando Melo [aut], Carlos Alberto Martinez [aut]
Maintainer: Nelson Alirio Cruz Gutierrez <nelson-alirio.cruz@uib.es>

Diff between CrossCarry versions 0.4.0 dated 2024-09-24 and 0.5.0 dated 2025-06-24

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Package authoritative updated to version 0.2.0 with previous version 0.1.0 dated 2025-02-03

Title: Parse and Deduplicate Author Names
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.
Author: Hugo Gruson [aut, cre, cph] , Chris Hartgerink [rev] , data.org [fnd]
Maintainer: Hugo Gruson <hugo.gruson+R@normalesup.org>

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Package ggspectra updated to version 0.3.16 with previous version 0.3.15 dated 2025-01-08

Title: Extensions to 'ggplot2' for Radiation Spectra
Description: Additional annotations, stats, geoms and scales for plotting "light" spectra with 'ggplot2', together with specializations of ggplot() and autoplot() methods for spectral data and waveband definitions stored in objects of classes defined in package 'photobiology'. 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]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package DLMRMV updated to version 0.2.0 with previous version 0.1.0 dated 2025-04-08

Title: Distributed Linear Regression Models with Response Missing Variables
Description: As a distributed imputation strategy, the Distributed full information Multiple Imputation method is developed to impute missing response variables in distributed linear regression. The philosophy of the package is described in 'Guo' (2025) <doi:10.1038/s41598-025-93333-6>.
Author: Guangbao Guo [aut, cre] , Limin Song [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

Diff between DLMRMV versions 0.1.0 dated 2025-04-08 and 0.2.0 dated 2025-06-24

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